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to explore the data and get a better understanding of the data with the idea of to create the best penguin classifier.\n", + "\n", + "## Steps\n", + "\n", + "- 1 Understanding the dataset\n", + "- 2 Load the dataset\n", + "- 3 Inspect the dataset\n", + "- 4 Data type conversion\n", + "- 5 Identify missing values\n", + "- 6 Detect and handle outliers\n", + "- 7 Analyze relationships between variables\n", + "- 8 Explore categorical variables\n", + "- 9 Impute missing values\n", + "- 10 Normalize and scale data\n", + "- 11 Pandas Profiling\n", + "- 12 Clustering, dimension reduction with PCA\n", + "- 13 Model selection and evaluation\n", + "- 14 Report and communicate findings" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1) Understanding the dataset\n", + "\n", + "Start familiarizing with the dataset. Understand the context, the purpose of the data, and the problem trying to solve. Look for documentation or metadata that provides information about the dataset, its variables, and its source.\n", + "\n", + "### Columns description\n", + "\n", + "- studyName: The name of the study that collected the data. (Categorical)\n", + "- Sample Number: A unique identifier for each sample in the dataset. (Categorical)\n", + "- Species: The species of the penguin (e.g., Adelie Penguin). (Categorical)\n", + "- Region: The region where the penguin was observed. (Categorical)\n", + "- Island: The island where the penguin was observed. (Categorical)\n", + "- Stage: The stage of the penguin's life cycle at the time of observation (e.g., Adult, 1 Egg Stage). (Categorical)\n", + "- Individual ID: A unique identifier for each individual penguin. (Categorical)\n", + "- Clutch Completion: Whether the penguin has completed its clutch (a set of eggs laid by a bird). (Categorical - Binary)\n", + "- Date Egg: The date the egg was observed. (Datetime)\n", + "- Culmen Length (mm): The length of the penguin's culmen (the upper ridge of a bird's beak) in millimeters. (Numerical - Discrete)\n", + "- Culmen Depth (mm): The depth of the penguin's culmen in millimeters. (Numerical - Discrete)\n", + "- Flipper Length (mm): The length of the penguin's flipper (wing) in millimeters. (Numerical - Discrete)\n", + "- Body Mass (g): The body mass of the penguin in grams. (Numerical - Discrete)\n", + "- Sex: The sex of the penguin (Male, Female). (Categorical - Binary)\n", + "- Delta 15 N (o/oo): The ratio of stable isotopes of nitrogen (15N/14N) in the penguin's blood, indicating the penguin's trophic level. (Numerical - Continuous)\n", + "- Delta 13 C (o/oo): The ratio of stable isotopes of carbon (13C/12C) in the penguin's blood, indicating the penguin's foraging habitat. (Numerical - Continuous)\n", + "- Comments: Additional comments related to the penguin or the sample. (Text)\n", + "\n", + "### First impressions\n", + "\n", + "The dataset contains several variables, such as:\n", + "\n", + "- Species: The species of the penguin (e.g., Adelie, Gentoo, Chinstrap).\n", + "- Island: The island where the penguin was observed.\n", + "- Culmen Length and Culmen Depth: Measurements of the penguin's beak, which can be useful for differentiating between species and understanding feeding habits.\n", + "- Flipper Length and Body Mass: Measurements of the penguin's body size, which can be indicators of their overall health, age, and ability to swim or dive.\n", + "- Sex: The sex of the penguin.\n", + "- Delta 15 N and Delta 13 C: Isotopic ratios that can provide information about the penguin's diet, foraging ecology, and trophic position within the food web.\n", + "\n", + "I can already see that some data are missing, and I will need to deal with them later.\n", + "\n", + "The \"Species\" column contains the common name and the (scientific name). Keeping both' doesn't add any value to our analysis.\n", + "\n", + "The \"Sample Number\" is a unique identifier for each sample, so it will not be useful for our analysis.\n", + "\n", + "The \"IndividualID\" may be useful to identify the penguins, but I will need to check if it is unique.\n", + "\n", + "The \"Stage\" column contains only a value, so it will not be useful for our analysis.\n", + "\n", + "The \"Sex\" feature contains a binary value, some values are missing and some are wrong.\n", + "\n", + "The \"Date Egg\" column is a trying and needs to be converted to a datetime format.\n", + "\n", + "Some sample are missing many values, and we will need to decide if we want to keep them or not.\n", + "\n", + "Overall, the dataset is a study on penguins. It seems they were studying the morphological characteristics and the isotopic signatures of different species and geographic areas. Also, they keep track of they egg and the clutch completion.\n", + "\n", + "## 2) Load the dataset\n", + "\n", + "Importing the data into the notebook using padnas. And check the correct interpretation." + ] + }, + { + "cell_type": "code", + "execution_count": 92, + "metadata": {}, + "outputs": [], + "source": [ + "# Import libraries\n", + "import pandas as pd\n", + "import numpy as np\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "import warnings\n", + "from sklearn.decomposition import PCA\n", + "from sklearn.manifold import TSNE\n", + "from ydata_profiling import ProfileReport\n", + "from sklearn.model_selection import train_test_split\n", + "from sklearn.neighbors import KNeighborsClassifier\n", + "from sklearn.metrics import accuracy_score\n", + "from sklearn.tree import DecisionTreeClassifier" + ] + }, + { + "cell_type": "code", + "execution_count": 93, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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studyNameSample NumberSpeciesRegionIslandStageIndividual IDClutch CompletionDate EggCulmen Length (mm)Culmen Depth (mm)Flipper Length (mm)Body Mass (g)SexDelta 15 N (o/oo)Delta 13 C (o/oo)Comments
0PAL07081Adelie Penguin (Pygoscelis adeliae)AnversTorgersenAdult, 1 Egg StageN1A1Yes11/11/0739.118.7181.03750.0MALENaNNaNNot enough blood for isotopes.
1PAL07082Adelie Penguin (Pygoscelis adeliae)AnversTorgersenAdult, 1 Egg StageN1A2Yes11/11/0739.517.4186.03800.0FEMALE8.94956-24.69454NaN
2PAL07083Adelie Penguin (Pygoscelis adeliae)AnversTorgersenAdult, 1 Egg StageN2A1Yes11/16/0740.318.0195.03250.0FEMALE8.36821-25.33302NaN
3PAL07084Adelie Penguin (Pygoscelis adeliae)AnversTorgersenAdult, 1 Egg StageN2A2Yes11/16/07NaNNaNNaNNaNNaNNaNNaNAdult not sampled.
4PAL07085Adelie Penguin (Pygoscelis adeliae)AnversTorgersenAdult, 1 Egg StageN3A1Yes11/16/0736.719.3193.03450.0FEMALE8.76651-25.32426NaN
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" + ], + "text/plain": [ + " studyName Sample Number Species Region \\\n", + "0 PAL0708 1 Adelie Penguin (Pygoscelis adeliae) Anvers \n", + "1 PAL0708 2 Adelie Penguin (Pygoscelis adeliae) Anvers \n", + "2 PAL0708 3 Adelie Penguin (Pygoscelis adeliae) Anvers \n", + "3 PAL0708 4 Adelie Penguin (Pygoscelis adeliae) Anvers \n", + "4 PAL0708 5 Adelie Penguin (Pygoscelis adeliae) Anvers \n", + "\n", + " Island Stage Individual ID Clutch Completion Date Egg \\\n", + "0 Torgersen Adult, 1 Egg Stage N1A1 Yes 11/11/07 \n", + "1 Torgersen Adult, 1 Egg Stage N1A2 Yes 11/11/07 \n", + "2 Torgersen Adult, 1 Egg Stage N2A1 Yes 11/16/07 \n", + "3 Torgersen Adult, 1 Egg Stage N2A2 Yes 11/16/07 \n", + "4 Torgersen Adult, 1 Egg Stage N3A1 Yes 11/16/07 \n", + "\n", + " Culmen Length (mm) Culmen Depth (mm) Flipper Length (mm) Body Mass (g) \\\n", + "0 39.1 18.7 181.0 3750.0 \n", + "1 39.5 17.4 186.0 3800.0 \n", + "2 40.3 18.0 195.0 3250.0 \n", + "3 NaN NaN NaN NaN \n", + "4 36.7 19.3 193.0 3450.0 \n", + "\n", + " Sex Delta 15 N (o/oo) Delta 13 C (o/oo) \\\n", + "0 MALE NaN NaN \n", + "1 FEMALE 8.94956 -24.69454 \n", + "2 FEMALE 8.36821 -25.33302 \n", + "3 NaN NaN NaN \n", + "4 FEMALE 8.76651 -25.32426 \n", + "\n", + " Comments \n", + "0 Not enough blood for isotopes. \n", + "1 NaN \n", + "2 NaN \n", + "3 Adult not sampled. \n", + "4 NaN " + ] + }, + "execution_count": 93, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Load the dataset\n", + "df = pd.read_csv('data/penguins.csv')\n", + "df.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The dataset seems correctly loaded.\n", + "\n", + "## 3) Inspect the dataset\n", + "\n", + "Use functions like head(), tail(), info() or describe() to get an overview of the dataset, its shape, and basic summary statistics to identify any immediate issues or patterns in the data." + ] + }, + { + "cell_type": "code", + "execution_count": 94, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(344, 17)" + ] + }, + "execution_count": 94, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 95, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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studyNameSample NumberSpeciesRegionIslandStageIndividual IDClutch CompletionDate EggCulmen Length (mm)Culmen Depth (mm)Flipper Length (mm)Body Mass (g)SexDelta 15 N (o/oo)Delta 13 C (o/oo)Comments
0PAL07081Adelie Penguin (Pygoscelis adeliae)AnversTorgersenAdult, 1 Egg StageN1A1Yes11/11/0739.118.7181.03750.0MALENaNNaNNot enough blood for isotopes.
1PAL07082Adelie Penguin (Pygoscelis adeliae)AnversTorgersenAdult, 1 Egg StageN1A2Yes11/11/0739.517.4186.03800.0FEMALE8.94956-24.69454NaN
2PAL07083Adelie Penguin (Pygoscelis adeliae)AnversTorgersenAdult, 1 Egg StageN2A1Yes11/16/0740.318.0195.03250.0FEMALE8.36821-25.33302NaN
3PAL07084Adelie Penguin (Pygoscelis adeliae)AnversTorgersenAdult, 1 Egg StageN2A2Yes11/16/07NaNNaNNaNNaNNaNNaNNaNAdult not sampled.
4PAL07085Adelie Penguin (Pygoscelis adeliae)AnversTorgersenAdult, 1 Egg StageN3A1Yes11/16/0736.719.3193.03450.0FEMALE8.76651-25.32426NaN
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" + ], + "text/plain": [ + " studyName Sample Number Species Region \\\n", + "0 PAL0708 1 Adelie Penguin (Pygoscelis adeliae) Anvers \n", + "1 PAL0708 2 Adelie Penguin (Pygoscelis adeliae) Anvers \n", + "2 PAL0708 3 Adelie Penguin (Pygoscelis adeliae) Anvers \n", + "3 PAL0708 4 Adelie Penguin (Pygoscelis adeliae) Anvers \n", + "4 PAL0708 5 Adelie Penguin (Pygoscelis adeliae) Anvers \n", + "\n", + " Island Stage Individual ID Clutch Completion Date Egg \\\n", + "0 Torgersen Adult, 1 Egg Stage N1A1 Yes 11/11/07 \n", + "1 Torgersen Adult, 1 Egg Stage N1A2 Yes 11/11/07 \n", + "2 Torgersen Adult, 1 Egg Stage N2A1 Yes 11/16/07 \n", + "3 Torgersen Adult, 1 Egg Stage N2A2 Yes 11/16/07 \n", + "4 Torgersen Adult, 1 Egg Stage N3A1 Yes 11/16/07 \n", + "\n", + " Culmen Length (mm) Culmen Depth (mm) Flipper Length (mm) Body Mass (g) \\\n", + "0 39.1 18.7 181.0 3750.0 \n", + "1 39.5 17.4 186.0 3800.0 \n", + "2 40.3 18.0 195.0 3250.0 \n", + "3 NaN NaN NaN NaN \n", + "4 36.7 19.3 193.0 3450.0 \n", + "\n", + " Sex Delta 15 N (o/oo) Delta 13 C (o/oo) \\\n", + "0 MALE NaN NaN \n", + "1 FEMALE 8.94956 -24.69454 \n", + "2 FEMALE 8.36821 -25.33302 \n", + "3 NaN NaN NaN \n", + "4 FEMALE 8.76651 -25.32426 \n", + "\n", + " Comments \n", + "0 Not enough blood for isotopes. \n", + "1 NaN \n", + "2 NaN \n", + "3 Adult not sampled. \n", + "4 NaN " + ] + }, + "execution_count": 95, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 96, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 344 entries, 0 to 343\n", + "Data columns (total 17 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 studyName 344 non-null object \n", + " 1 Sample Number 344 non-null int64 \n", + " 2 Species 344 non-null object \n", + " 3 Region 344 non-null object \n", + " 4 Island 344 non-null object \n", + " 5 Stage 344 non-null object \n", + " 6 Individual ID 344 non-null object \n", + " 7 Clutch Completion 344 non-null object \n", + " 8 Date Egg 344 non-null object \n", + " 9 Culmen Length (mm) 342 non-null float64\n", + " 10 Culmen Depth (mm) 342 non-null float64\n", + " 11 Flipper Length (mm) 342 non-null float64\n", + " 12 Body Mass (g) 342 non-null float64\n", + " 13 Sex 334 non-null object \n", + " 14 Delta 15 N (o/oo) 330 non-null float64\n", + " 15 Delta 13 C (o/oo) 331 non-null float64\n", + " 16 Comments 26 non-null object \n", + "dtypes: float64(6), int64(1), object(10)\n", + "memory usage: 45.8+ KB\n" + ] + } + ], + "source": [ + "df.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 97, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Sample NumberCulmen Length (mm)Culmen Depth (mm)Flipper Length (mm)Body Mass (g)Delta 15 N (o/oo)Delta 13 C (o/oo)
count344.000000342.000000342.000000342.000000342.000000330.000000331.000000
mean63.15116343.92193017.151170200.9152054201.7543868.733382-25.686292
std40.4301995.4595841.97479314.061714801.9545360.5517700.793961
min1.00000032.10000013.100000172.0000002700.0000007.632200-27.018540
25%29.00000039.22500015.600000190.0000003550.0000008.299890-26.320305
50%58.00000044.45000017.300000197.0000004050.0000008.652405-25.833520
75%95.25000048.50000018.700000213.0000004750.0000009.172123-25.062050
max152.00000059.60000021.500000231.0000006300.00000010.025440-23.787670
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" + ], + "text/plain": [ + " Sample Number Culmen Length (mm) Culmen Depth (mm) \\\n", + "count 344.000000 342.000000 342.000000 \n", + "mean 63.151163 43.921930 17.151170 \n", + "std 40.430199 5.459584 1.974793 \n", + "min 1.000000 32.100000 13.100000 \n", + "25% 29.000000 39.225000 15.600000 \n", + "50% 58.000000 44.450000 17.300000 \n", + "75% 95.250000 48.500000 18.700000 \n", + "max 152.000000 59.600000 21.500000 \n", + "\n", + " Flipper Length (mm) Body Mass (g) Delta 15 N (o/oo) \\\n", + "count 342.000000 342.000000 330.000000 \n", + "mean 200.915205 4201.754386 8.733382 \n", + "std 14.061714 801.954536 0.551770 \n", + "min 172.000000 2700.000000 7.632200 \n", + "25% 190.000000 3550.000000 8.299890 \n", + "50% 197.000000 4050.000000 8.652405 \n", + "75% 213.000000 4750.000000 9.172123 \n", + "max 231.000000 6300.000000 10.025440 \n", + "\n", + " Delta 13 C (o/oo) \n", + "count 331.000000 \n", + "mean -25.686292 \n", + "std 0.793961 \n", + "min -27.018540 \n", + "25% -26.320305 \n", + "50% -25.833520 \n", + "75% -25.062050 \n", + "max -23.787670 " + ] + }, + "execution_count": 97, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.describe()" + ] + }, + { + "cell_type": "code", + "execution_count": 98, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "studyName 3\n", + "Sample Number 152\n", + "Species 3\n", + "Region 1\n", + "Island 3\n", + "Stage 1\n", + "Individual ID 190\n", + "Clutch Completion 2\n", + "Date Egg 50\n", + "Culmen Length (mm) 164\n", + "Culmen Depth (mm) 80\n", + "Flipper Length (mm) 55\n", + "Body Mass (g) 94\n", + "Sex 3\n", + "Delta 15 N (o/oo) 330\n", + "Delta 13 C (o/oo) 331\n", + "Comments 7\n", + "dtype: int64" + ] + }, + "execution_count": 98, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# get the number of unique values for each column\n", + "df.nunique()" + ] + }, + { + "cell_type": "code", + "execution_count": 99, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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RegionStage
0AnversAdult, 1 Egg Stage
1AnversAdult, 1 Egg Stage
2AnversAdult, 1 Egg Stage
3AnversAdult, 1 Egg Stage
4AnversAdult, 1 Egg Stage
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" + ], + "text/plain": [ + " Region Stage\n", + "0 Anvers Adult, 1 Egg Stage\n", + "1 Anvers Adult, 1 Egg Stage\n", + "2 Anvers Adult, 1 Egg Stage\n", + "3 Anvers Adult, 1 Egg Stage\n", + "4 Anvers Adult, 1 Egg Stage" + ] + }, + "execution_count": 99, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# remove the columns with only one unique value because are useless for the analysis but\n", + "# keep it in a separate dataframe\n", + "df_unique = df.loc[:, df.nunique() == 1]\n", + "df_unique.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 100, + "metadata": {}, + "outputs": [], + "source": [ + "# drop the columns with only one unique value\n", + "df.drop(df_unique.columns, axis=1, inplace=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 101, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array(['Not enough blood for isotopes.', nan, 'Adult not sampled.',\n", + " 'Nest never observed with full clutch.',\n", + " 'No blood sample obtained.',\n", + " 'No blood sample obtained for sexing.',\n", + " 'Nest never observed with full clutch. Not enough blood for isotopes.',\n", + " 'Sexing primers did not amplify. Not enough blood for isotopes.'],\n", + " dtype=object)" + ] + }, + "execution_count": 101, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# list all comments\n", + "df['Comments'].unique()" + ] + }, + { + "cell_type": "code", + "execution_count": 102, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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SexClutch CompletionDelta 15 N (o/oo)Delta 13 C (o/oo)Comments
0MALEYesNaNNaNNot enough blood for isotopes.
3NaNYesNaNNaNAdult not sampled.
6FEMALENo9.18718-25.21799Nest never observed with full clutch.
7MALENo9.46060-24.89958Nest never observed with full clutch.
8NaNYesNaNNaNNo blood sample obtained.
9NaNYes9.13362-25.09368No blood sample obtained for sexing.
10NaNYes8.63243-25.21315No blood sample obtained for sexing.
11NaNYesNaNNaNNo blood sample obtained.
12FEMALEYesNaNNaNNot enough blood for isotopes.
13MALEYesNaNNaNNot enough blood for isotopes.
15FEMALEYesNaNNaNNot enough blood for isotopes.
28FEMALENo8.38404-25.19837Nest never observed with full clutch.
29MALENo8.90027-25.11609Nest never observed with full clutch.
38FEMALENo9.41131-25.04169Nest never observed with full clutch.
39MALENoNaNNaNNest never observed with full clutch. Not enou...
41MALEYesNaNNaNNot enough blood for isotopes.
46MALEYesNaNNaNNot enough blood for isotopes.
47NaNYesNaNNaNSexing primers did not amplify. Not enough blo...
68FEMALENo8.47781-26.07821Nest never observed with full clutch.
69MALENo8.86853-26.06209Nest never observed with full clutch.
120FEMALENo9.04296-26.19444Nest never observed with full clutch.
121MALENo9.11066-26.42563Nest never observed with full clutch.
130FEMALENo8.98460-25.57956Nest never observed with full clutch.
131MALENo8.86495-26.13960Nest never observed with full clutch.
138FEMALENo8.61651-26.07021Nest never observed with full clutch.
139MALENo9.25769-25.88798Nest never observed with full clutch.
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" + ], + "text/plain": [ + " Sex Clutch Completion Delta 15 N (o/oo) Delta 13 C (o/oo) \\\n", + "0 MALE Yes NaN NaN \n", + "3 NaN Yes NaN NaN \n", + "6 FEMALE No 9.18718 -25.21799 \n", + "7 MALE No 9.46060 -24.89958 \n", + "8 NaN Yes NaN NaN \n", + "9 NaN Yes 9.13362 -25.09368 \n", + "10 NaN Yes 8.63243 -25.21315 \n", + "11 NaN Yes NaN NaN \n", + "12 FEMALE Yes NaN NaN \n", + "13 MALE Yes NaN NaN \n", + "15 FEMALE Yes NaN NaN \n", + "28 FEMALE No 8.38404 -25.19837 \n", + "29 MALE No 8.90027 -25.11609 \n", + "38 FEMALE No 9.41131 -25.04169 \n", + "39 MALE No NaN NaN \n", + "41 MALE Yes NaN NaN \n", + "46 MALE Yes NaN NaN \n", + "47 NaN Yes NaN NaN \n", + "68 FEMALE No 8.47781 -26.07821 \n", + "69 MALE No 8.86853 -26.06209 \n", + "120 FEMALE No 9.04296 -26.19444 \n", + "121 MALE No 9.11066 -26.42563 \n", + "130 FEMALE No 8.98460 -25.57956 \n", + "131 MALE No 8.86495 -26.13960 \n", + "138 FEMALE No 8.61651 -26.07021 \n", + "139 MALE No 9.25769 -25.88798 \n", + "\n", + " Comments \n", + "0 Not enough blood for isotopes. \n", + "3 Adult not sampled. \n", + "6 Nest never observed with full clutch. \n", + "7 Nest never observed with full clutch. \n", + "8 No blood sample obtained. \n", + "9 No blood sample obtained for sexing. \n", + "10 No blood sample obtained for sexing. \n", + "11 No blood sample obtained. \n", + "12 Not enough blood for isotopes. \n", + "13 Not enough blood for isotopes. \n", + "15 Not enough blood for isotopes. \n", + "28 Nest never observed with full clutch. \n", + "29 Nest never observed with full clutch. \n", + "38 Nest never observed with full clutch. \n", + "39 Nest never observed with full clutch. Not enou... \n", + "41 Not enough blood for isotopes. \n", + "46 Not enough blood for isotopes. \n", + "47 Sexing primers did not amplify. Not enough blo... \n", + "68 Nest never observed with full clutch. \n", + "69 Nest never observed with full clutch. \n", + "120 Nest never observed with full clutch. \n", + "121 Nest never observed with full clutch. \n", + "130 Nest never observed with full clutch. \n", + "131 Nest never observed with full clutch. \n", + "138 Nest never observed with full clutch. \n", + "139 Nest never observed with full clutch. " + ] + }, + "execution_count": 102, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# shows the blood info column that has a comment and its comment\n", + "df[df['Comments'].notnull()][['Sex', 'Clutch Completion', 'Delta 15 N (o/oo)', 'Delta 13 C (o/oo)', 'Comments']]" + ] + }, + { + "cell_type": "code", + "execution_count": 103, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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studyNameSample NumberSpeciesIslandIndividual IDClutch CompletionDate EggCulmen Length (mm)Culmen Depth (mm)Flipper Length (mm)Body Mass (g)SexDelta 15 N (o/oo)Delta 13 C (o/oo)
0PAL07081Adelie Penguin (Pygoscelis adeliae)TorgersenN1A1Yes11/11/0739.118.7181.03750.0MALENaNNaN
1PAL07082Adelie Penguin (Pygoscelis adeliae)TorgersenN1A2Yes11/11/0739.517.4186.03800.0FEMALE8.94956-24.69454
2PAL07083Adelie Penguin (Pygoscelis adeliae)TorgersenN2A1Yes11/16/0740.318.0195.03250.0FEMALE8.36821-25.33302
3PAL07084Adelie Penguin (Pygoscelis adeliae)TorgersenN2A2Yes11/16/07NaNNaNNaNNaNNaNNaNNaN
4PAL07085Adelie Penguin (Pygoscelis adeliae)TorgersenN3A1Yes11/16/0736.719.3193.03450.0FEMALE8.76651-25.32426
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" + ], + "text/plain": [ + " studyName Sample Number Species Island \\\n", + "0 PAL0708 1 Adelie Penguin (Pygoscelis adeliae) Torgersen \n", + "1 PAL0708 2 Adelie Penguin (Pygoscelis adeliae) Torgersen \n", + "2 PAL0708 3 Adelie Penguin (Pygoscelis adeliae) Torgersen \n", + "3 PAL0708 4 Adelie Penguin (Pygoscelis adeliae) Torgersen \n", + "4 PAL0708 5 Adelie Penguin (Pygoscelis adeliae) Torgersen \n", + "\n", + " Individual ID Clutch Completion Date Egg Culmen Length (mm) \\\n", + "0 N1A1 Yes 11/11/07 39.1 \n", + "1 N1A2 Yes 11/11/07 39.5 \n", + "2 N2A1 Yes 11/16/07 40.3 \n", + "3 N2A2 Yes 11/16/07 NaN \n", + "4 N3A1 Yes 11/16/07 36.7 \n", + "\n", + " Culmen Depth (mm) Flipper Length (mm) Body Mass (g) Sex \\\n", + "0 18.7 181.0 3750.0 MALE \n", + "1 17.4 186.0 3800.0 FEMALE \n", + "2 18.0 195.0 3250.0 FEMALE \n", + "3 NaN NaN NaN NaN \n", + "4 19.3 193.0 3450.0 FEMALE \n", + "\n", + " Delta 15 N (o/oo) Delta 13 C (o/oo) \n", + "0 NaN NaN \n", + "1 8.94956 -24.69454 \n", + "2 8.36821 -25.33302 \n", + "3 NaN NaN \n", + "4 8.76651 -25.32426 " + ] + }, + "execution_count": 103, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# drop the comments useless column\n", + "df.drop('Comments', axis=1, inplace=True)\n", + "df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 104, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1 3\n", + "45 3\n", + "52 3\n", + "51 3\n", + "50 3\n", + " ..\n", + "129 1\n", + "128 1\n", + "127 1\n", + "126 1\n", + "152 1\n", + "Name: Sample Number, Length: 152, dtype: int64" + ] + }, + "execution_count": 104, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# count the number of \"sample number\" unique repetitions\n", + "df['Sample Number'].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 105, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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studyNameSpeciesIslandIndividual IDClutch CompletionDate EggCulmen Length (mm)Culmen Depth (mm)Flipper Length (mm)Body Mass (g)SexDelta 15 N (o/oo)Delta 13 C (o/oo)
0PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN1A1Yes11/11/0739.118.7181.03750.0MALENaNNaN
1PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN1A2Yes11/11/0739.517.4186.03800.0FEMALE8.94956-24.69454
2PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN2A1Yes11/16/0740.318.0195.03250.0FEMALE8.36821-25.33302
3PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN2A2Yes11/16/07NaNNaNNaNNaNNaNNaNNaN
4PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN3A1Yes11/16/0736.719.3193.03450.0FEMALE8.76651-25.32426
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" + ], + "text/plain": [ + " studyName Species Island Individual ID \\\n", + "0 PAL0708 Adelie Penguin (Pygoscelis adeliae) Torgersen N1A1 \n", + "1 PAL0708 Adelie Penguin (Pygoscelis adeliae) Torgersen N1A2 \n", + "2 PAL0708 Adelie Penguin (Pygoscelis adeliae) Torgersen N2A1 \n", + "3 PAL0708 Adelie Penguin (Pygoscelis adeliae) Torgersen N2A2 \n", + "4 PAL0708 Adelie Penguin (Pygoscelis adeliae) Torgersen N3A1 \n", + "\n", + " Clutch Completion Date Egg Culmen Length (mm) Culmen Depth (mm) \\\n", + "0 Yes 11/11/07 39.1 18.7 \n", + "1 Yes 11/11/07 39.5 17.4 \n", + "2 Yes 11/16/07 40.3 18.0 \n", + "3 Yes 11/16/07 NaN NaN \n", + "4 Yes 11/16/07 36.7 19.3 \n", + "\n", + " Flipper Length (mm) Body Mass (g) Sex Delta 15 N (o/oo) \\\n", + "0 181.0 3750.0 MALE NaN \n", + "1 186.0 3800.0 FEMALE 8.94956 \n", + "2 195.0 3250.0 FEMALE 8.36821 \n", + "3 NaN NaN NaN NaN \n", + "4 193.0 3450.0 FEMALE 8.76651 \n", + "\n", + " Delta 13 C (o/oo) \n", + "0 NaN \n", + "1 -24.69454 \n", + "2 -25.33302 \n", + "3 NaN \n", + "4 -25.32426 " + ] + }, + "execution_count": 105, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# drop the sample number column\n", + "df.drop('Sample Number', axis=1, inplace=True)\n", + "\n", + "df.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The dataset consist in 17 features and 344 samples. The dataset contains 7 pure numerical features. Many values are missing and have been replaced by NaN. The dataset has 1 date feature. Some columns are clearly useless.\n", + "\n", + "The numerical features have different scales, and could be useful to apply some scaling later. Also, these values are not too big, therefore should not be a problem to manipulate them.\n", + "\n", + "Also, the columns \"Region\" and \"Stage\" have been dropped because they contain only one value.\n", + "\n", + "The \"comments\" columns contains 26 non-null values where only 6 are comments, this comments basically says that they couldn't get the sample since the blood wasn't enough or that \"Nest never observed with full clutch\". We can say that because the blood information are missing in the first case, or because the column \"Clutch completion\" is \"No\", the comments are redundant and can be dropped since they add no information.\n", + "\n", + "The comment \"No blood sample obtained for sexing\" indicate that these researchers used the blood sample to determinate the sex, so if\n", + "they failed to amplify the DNA or didn't take enough blood, the sex of the penguin will be empty.\n", + "\n", + "The \"Sample Number\" column contains 152 unique values, but the column \"Individual ID\" contains 191 unique values. This means that some samples are from the same penguin. This is may not a problem, but I need to keep it in mind. The total number of samples is 344, but the total number of unique \"Sample Number\" is 152, this because some penguins have been sampled more than once with the same \"Individual ID\". And a sample get more individuals in one go. This means I can drop the sample ID because is an arbitrary number that add no information other than a chronological order, which is already in the date feature, but I will keep the Individual ID.\n", + "\n", + "The \"Study number\" may also be dropped since there is logic correlation and seems less important at this point, but I will keep it for now.\n", + "\n", + "## 4 Data type conversion\n", + "\n", + "Ensure that each variable is of the appropriate data type (e.g., numeric, categorical, datetime).\n", + "Convert any variables with incorrect data types.\n", + "Convert with LabelEncoder or OrdinalEncoder.\n", + "\n", + "In the step 3 I found out many columns that need to be converted to the correct data type.\n", + "\n", + "For this step I looked at the values of the non-numerical columns, if they are non-ordinal and only 2 values are possible (eg: sex)\n", + "I will use the LabelEncoder, if more than 2 values are possible I will use the OneHotEncoder (eg: species).\n", + "If the values are ordinal I will use the OrdinalEncoder.\n", + "\n", + "Since the \"Individual ID\" is non-ordinal but contains a lot of unique values, I will encode is with the label encoder\n", + "because the one-hot encoder could generate too many columns. I could then reduce the number of columns with a PCA, but this\n", + "may start to be too complicated for a TP.\n", + "\n", + "Also, I will convert the \"Date Egg\" column to a datetime format.\n", + "\n", + "To simplify the coding and encoding I wrote a convenience class that will do all the work for me." + ] + }, + { + "cell_type": "code", + "execution_count": 106, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The autoreload extension is already loaded. To reload it, use:\n", + " %reload_ext autoreload\n" + ] + } + ], + "source": [ + "# Import the custom EncoderManager class\n", + "%load_ext autoreload\n", + "%autoreload 2\n", + "\n", + "from lib.EncoderManager import EncoderManager" + ] + }, + { + "cell_type": "code", + "execution_count": 107, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "studyName 3\n", + "Species 3\n", + "Island 3\n", + "Individual ID 190\n", + "Clutch Completion 2\n", + "Date Egg 50\n", + "Sex 3\n", + "dtype: int64" + ] + }, + "execution_count": 107, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# list of non-numerical columns and the count of their unique values\n", + "df.select_dtypes(exclude='number').nunique()" + ] + }, + { + "cell_type": "code", + "execution_count": 108, + "metadata": {}, + "outputs": [], + "source": [ + "# Convert to date with pandas.to_datetime\n", + "df['Date Egg'] = pd.to_datetime(df['Date Egg'])\n", + "\n", + "# Define the columns to encode with LabelEncoder\n", + "columns_to_label_encode = ['Clutch Completion', 'Sex', 'Individual ID']\n", + "\n", + "# Define the columns to encode with OrdinalEncoder\n", + "# since the date type gives me many problem il convert it to ordinal\n", + "# however, this column is not very interesting for the prediction\n", + "columns_to_ordinal_encode = [\"Date Egg\"]\n", + "\n", + "# Define the columns to encode with OneHotEncoder\n", + "columns_to_onehot_encode = ['studyName', 'Species', 'Island']" + ] + }, + { + "cell_type": "code", + "execution_count": 109, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Individual IDClutch CompletionDate EggCulmen Length (mm)Culmen Depth (mm)Flipper Length (mm)Body Mass (g)SexDelta 15 N (o/oo)Delta 13 C (o/oo)studyName_PAL0708studyName_PAL0809studyName_PAL0910Species_Adelie Penguin (Pygoscelis adeliae)Species_Chinstrap penguin (Pygoscelis antarctica)Species_Gentoo penguin (Pygoscelis papua)Island_BiscoeIsland_DreamIsland_Torgersen
02212.039.118.7181.03750.02NaNNaN1.00.00.01.00.00.00.00.01.0
12312.039.517.4186.03800.018.94956-24.694541.00.00.01.00.00.00.00.01.0
24416.040.318.0195.03250.018.36821-25.333021.00.00.01.00.00.00.00.01.0
34516.0NaNNaNNaNNaN3NaNNaN1.00.00.01.00.00.00.00.01.0
46616.036.719.3193.03450.018.76651-25.324261.00.00.01.00.00.00.00.01.0
............................................................
33963049.0NaNNaNNaNNaN3NaNNaN0.00.01.00.00.01.01.00.00.0
34064145.046.814.3215.04850.018.41151-26.138320.00.01.00.00.01.01.00.00.0
34165145.050.415.7222.05750.028.30166-26.041170.00.01.00.00.01.01.00.00.0
34274145.045.214.8212.05200.018.24246-26.119690.00.01.00.00.01.01.00.00.0
34375145.049.916.1213.05400.028.36390-26.155310.00.01.00.00.01.01.00.00.0
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344 rows × 19 columns

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" + ], + "text/plain": [ + " Individual ID Clutch Completion Date Egg Culmen Length (mm) \\\n", + "0 22 1 2.0 39.1 \n", + "1 23 1 2.0 39.5 \n", + "2 44 1 6.0 40.3 \n", + "3 45 1 6.0 NaN \n", + "4 66 1 6.0 36.7 \n", + ".. ... ... ... ... \n", + "339 63 0 49.0 NaN \n", + "340 64 1 45.0 46.8 \n", + "341 65 1 45.0 50.4 \n", + "342 74 1 45.0 45.2 \n", + "343 75 1 45.0 49.9 \n", + "\n", + " Culmen Depth (mm) Flipper Length (mm) Body Mass (g) Sex \\\n", + "0 18.7 181.0 3750.0 2 \n", + "1 17.4 186.0 3800.0 1 \n", + "2 18.0 195.0 3250.0 1 \n", + "3 NaN NaN NaN 3 \n", + "4 19.3 193.0 3450.0 1 \n", + ".. ... ... ... ... \n", + "339 NaN NaN NaN 3 \n", + "340 14.3 215.0 4850.0 1 \n", + "341 15.7 222.0 5750.0 2 \n", + "342 14.8 212.0 5200.0 1 \n", + "343 16.1 213.0 5400.0 2 \n", + "\n", + " Delta 15 N (o/oo) Delta 13 C (o/oo) studyName_PAL0708 \\\n", + "0 NaN NaN 1.0 \n", + "1 8.94956 -24.69454 1.0 \n", + "2 8.36821 -25.33302 1.0 \n", + "3 NaN NaN 1.0 \n", + "4 8.76651 -25.32426 1.0 \n", + ".. ... ... ... \n", + "339 NaN NaN 0.0 \n", + "340 8.41151 -26.13832 0.0 \n", + "341 8.30166 -26.04117 0.0 \n", + "342 8.24246 -26.11969 0.0 \n", + "343 8.36390 -26.15531 0.0 \n", + "\n", + " studyName_PAL0809 studyName_PAL0910 \\\n", + "0 0.0 0.0 \n", + "1 0.0 0.0 \n", + "2 0.0 0.0 \n", + "3 0.0 0.0 \n", + "4 0.0 0.0 \n", + ".. ... ... \n", + "339 0.0 1.0 \n", + "340 0.0 1.0 \n", + "341 0.0 1.0 \n", + "342 0.0 1.0 \n", + "343 0.0 1.0 \n", + "\n", + " Species_Adelie Penguin (Pygoscelis adeliae) \\\n", + "0 1.0 \n", + "1 1.0 \n", + "2 1.0 \n", + "3 1.0 \n", + "4 1.0 \n", + ".. ... \n", + "339 0.0 \n", + "340 0.0 \n", + "341 0.0 \n", + "342 0.0 \n", + "343 0.0 \n", + "\n", + " Species_Chinstrap penguin (Pygoscelis antarctica) \\\n", + "0 0.0 \n", + "1 0.0 \n", + "2 0.0 \n", + "3 0.0 \n", + "4 0.0 \n", + ".. ... \n", + "339 0.0 \n", + "340 0.0 \n", + "341 0.0 \n", + "342 0.0 \n", + "343 0.0 \n", + "\n", + " Species_Gentoo penguin (Pygoscelis papua) Island_Biscoe Island_Dream \\\n", + "0 0.0 0.0 0.0 \n", + "1 0.0 0.0 0.0 \n", + "2 0.0 0.0 0.0 \n", + "3 0.0 0.0 0.0 \n", + "4 0.0 0.0 0.0 \n", + ".. ... ... ... \n", + "339 1.0 1.0 0.0 \n", + "340 1.0 1.0 0.0 \n", + "341 1.0 1.0 0.0 \n", + "342 1.0 1.0 0.0 \n", + "343 1.0 1.0 0.0 \n", + "\n", + " Island_Torgersen \n", + "0 1.0 \n", + "1 1.0 \n", + "2 1.0 \n", + "3 1.0 \n", + "4 1.0 \n", + ".. ... \n", + "339 0.0 \n", + "340 0.0 \n", + "341 0.0 \n", + "342 0.0 \n", + "343 0.0 \n", + "\n", + "[344 rows x 19 columns]" + ] + }, + "execution_count": 109, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "penguin_manager = EncoderManager(df, columns_to_label_encode, columns_to_ordinal_encode, columns_to_onehot_encode)\n", + "\n", + "penguin_manager.encode(inplace=True).get_df()" + ] + }, + { + "cell_type": "code", + "execution_count": 110, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array(['Adelie Penguin (Pygoscelis adeliae)',\n", + " 'Chinstrap penguin (Pygoscelis antarctica)',\n", + " 'Gentoo penguin (Pygoscelis papua)'], dtype=object)" + ] + }, + "execution_count": 110, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "penguin_manager = EncoderManager(df, columns_to_label_encode, columns_to_ordinal_encode, columns_to_onehot_encode)\n", + "df = penguin_manager.get_df()\n", + "df[\"Species\"].unique()" + ] + }, + { + "cell_type": "code", + "execution_count": 111, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array(['Torgersen', 'Biscoe', 'Dream'], dtype=object)" + ] + }, + "execution_count": 111, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = penguin_manager.get_df()\n", + "df[\"Island\"].unique()" + ] + }, + { + "cell_type": "code", + "execution_count": 112, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array(['PAL0708', 'PAL0809', 'PAL0910'], dtype=object)" + ] + }, + "execution_count": 112, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = penguin_manager.get_df()\n", + "df[\"studyName\"].unique()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "So now I have a correctly encoded dataset, and I can easily decode it back to the original format with the penguin_manager.decode() method." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 5 Identify missing values\n", + "\n", + "Determine the extent of missing values in the dataset by calculating the percentage of missing values for each variable.\n", + "Decide whether to impute, drop, or interpolate missing values based on the context and the importance of the variable.\n", + "\n", + "For this step I will use the library missingno to visualize the missing values. Missingno is a library specialized in visualize the *missing values* in a dataset in a very intuitive way." + ] + }, + { + "cell_type": "code", + "execution_count": 113, + "metadata": {}, + "outputs": [], + "source": [ + "# if uncommented, install missingno if not already installed\n", + "# !pip install missingno\n", + "# note: to works it need matplotlib=3.5.0\n", + "import missingno as msno" + ] + }, + { + "cell_type": "code", + "execution_count": 114, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# visualize a matrix of the missing values\n", + "warnings.filterwarnings('ignore')\n", + "msno.matrix(penguin_manager.get_df())\n", + "warnings.filterwarnings('default')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "With this matrix plot in particular we can see which column has missing value (axis x) in function of the sample index (axis y). Also, on the right side there is a line that shows the number of non-missing in that \"zone\" of the matrix.\n", + "\n", + "With this we can also see if some zone contains the missing values are missing in a specific zone, in more columns together, or if they are missing randomly.\n", + "\n", + "In this dataset we see that the 2 blood measures are missing together. Which il logic if we think that those aren't taken if they could get enough blood from the penguin. The measures of the anatomical parts also tend to miss together. Also, we see some missing values in the \"sex\" column. Later in this step i want to see if this value could be inferred by another sample of the same penguin \"Individual ID\". Or maybe, since usually sex differences are quite evident, I could try to predict it with a machine learning model.\n", + "\n", + "We can also see that in the firsts and lasts samples some row are missing many columns, in this case could be simpler to drop those rows because they are missing too many values." + ] + }, + { + "cell_type": "code", + "execution_count": 115, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "studyName 0\n", + "Species 0\n", + "Island 0\n", + "Individual ID 0\n", + "Clutch Completion 0\n", + "Date Egg 0\n", + "Culmen Length (mm) 2\n", + "Culmen Depth (mm) 2\n", + "Flipper Length (mm) 2\n", + "Body Mass (g) 2\n", + "Sex 10\n", + "Delta 15 N (o/oo) 14\n", + "Delta 13 C (o/oo) 13\n", + "dtype: int64" + ] + }, + "execution_count": 115, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# get an idea of what to expect in terms of missing values\n", + "penguin_manager.get_df().isna().sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 116, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 116, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# visualize a bar chart of the missing values\n", + "msno.bar(penguin_manager.get_df())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "With this bar chart we can see that even if some values are missing and at which percentage, overall the dataset is quite complete and quite balanced. Some data is missing in the columns as we seen in the matrix plot." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "With this bar chart we can see that even if some values are missing, overall the dataset is quite complete." + ] + }, + { + "cell_type": "code", + "execution_count": 117, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# heatmap of the missing values\n", + "warnings.filterwarnings('ignore')\n", + "msno.heatmap(penguin_manager.get_df())\n", + "warnings.filterwarnings('default')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The nullity correlation heatmap measures how strongly the presence or absence of one variable affects the presence of another. As we noticed before, the blood measures are missing together, and also the anatomical measures are missing together. This is why we see a strong correlation between those columns. For the other columns, we see that there is still a correlation of 0.4, this means that 40% of the values are missing in the same sample which something be aware of." + ] + }, + { + "cell_type": "code", + "execution_count": 118, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 118, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# dendrogram of the missing values\n", + "msno.dendrogram(penguin_manager.get_df())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The last plot is the dendrogram, which groups together the columns that have missing values in the same samples. We can see that the blood measures are coupled first as expected, the second couple is specie and flipper (and in general all anatomical measures), may be worth to look further into that.\n", + "\n", + "At this point the first thing to do is to drop the rows that have too many missing values, and then decide what to do with the other missing values. I will drop this values because there is too little information to infer them." + ] + }, + { + "cell_type": "code", + "execution_count": 119, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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studyNameSpeciesIslandIndividual IDClutch CompletionDate EggCulmen Length (mm)Culmen Depth (mm)Flipper Length (mm)Body Mass (g)SexDelta 15 N (o/oo)Delta 13 C (o/oo)
3PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN2A2Yes2007-11-16NaNNaNNaNNaNNaNNaNNaN
339PAL0910Gentoo penguin (Pygoscelis papua)BiscoeN38A2No2009-12-01NaNNaNNaNNaNNaNNaNNaN
\n", + "
" + ], + "text/plain": [ + " studyName Species Island Individual ID \\\n", + "3 PAL0708 Adelie Penguin (Pygoscelis adeliae) Torgersen N2A2 \n", + "339 PAL0910 Gentoo penguin (Pygoscelis papua) Biscoe N38A2 \n", + "\n", + " Clutch Completion Date Egg Culmen Length (mm) Culmen Depth (mm) \\\n", + "3 Yes 2007-11-16 NaN NaN \n", + "339 No 2009-12-01 NaN NaN \n", + "\n", + " Flipper Length (mm) Body Mass (g) Sex Delta 15 N (o/oo) \\\n", + "3 NaN NaN NaN NaN \n", + "339 NaN NaN NaN NaN \n", + "\n", + " Delta 13 C (o/oo) \n", + "3 NaN \n", + "339 NaN " + ] + }, + "execution_count": 119, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# return only the cols with at least 5 missing values\n", + "penguin_manager.get_df()[penguin_manager.get_df().isna().sum(axis=1) > 5]" + ] + }, + { + "cell_type": "code", + "execution_count": 120, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
studyNameSpeciesIslandIndividual IDClutch CompletionDate EggCulmen Length (mm)Culmen Depth (mm)Flipper Length (mm)Body Mass (g)SexDelta 15 N (o/oo)Delta 13 C (o/oo)
\n", + "
" + ], + "text/plain": [ + "Empty DataFrame\n", + "Columns: [studyName, Species, Island, Individual ID, Clutch Completion, Date Egg, Culmen Length (mm), Culmen Depth (mm), Flipper Length (mm), Body Mass (g), Sex, Delta 15 N (o/oo), Delta 13 C (o/oo)]\n", + "Index: []" + ] + }, + "execution_count": 120, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# drop the rows with at least 5 missing values\n", + "# Note: a faster solution would be to use dropna() with the threshold parameter, but\n", + "# after some try I found that it doesn't work and I don't know why\n", + "# so this is an alternative solution\n", + "missing_vals = penguin_manager.get_df().isna().sum(axis=1)\n", + "\n", + "drop_rows = missing_vals[missing_vals > 5].index\n", + "\n", + "penguin_manager.get_df().drop(drop_rows, inplace=True)\n", + "penguin_manager.get_df().reset_index(drop=True, inplace=True)\n", + "\n", + "penguin_manager.get_df()[penguin_manager.get_df().isna().sum(axis=1) > 5]" + ] + }, + { + "cell_type": "code", + "execution_count": 121, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(342, 13)" + ] + }, + "execution_count": 121, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# check the shape of the dataset\n", + "penguin_manager.get_df().shape" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This dropped 2 rows, which is not a big deal, and now we have a dataset with 334 rows but with way less missing values." + ] + }, + { + "cell_type": "code", + "execution_count": 122, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "studyName 0\n", + "Species 0\n", + "Island 0\n", + "Individual ID 0\n", + "Clutch Completion 0\n", + "Date Egg 0\n", + "Culmen Length (mm) 0\n", + "Culmen Depth (mm) 0\n", + "Flipper Length (mm) 0\n", + "Body Mass (g) 0\n", + "Sex 8\n", + "Delta 15 N (o/oo) 12\n", + "Delta 13 C (o/oo) 11\n", + "dtype: int64" + ] + }, + "execution_count": 122, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# check the missing values\n", + "penguin_manager.get_df().isna().sum()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "There is still a problem with the columns \"sex\", \"Delta 15 N (o/oo)\", \"Delta 13 C (o/oo)\".\n", + "\n", + "First I want to see if the sex of some penguin is in another sample." + ] + }, + { + "cell_type": "code", + "execution_count": 123, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Individual ID \n", + "N1A1 True 1\n", + " False 1\n", + "N24A1 False 2\n", + " True 1\n", + "N25A2 True 1\n", + " False 1\n", + "N26A2 True 1\n", + "N29A1 False 2\n", + " True 1\n", + "N29A2 False 2\n", + " True 1\n", + "N46A1 False 1\n", + " True 1\n", + "N50A1 False 1\n", + " True 1\n", + "N51A1 False 1\n", + " True 1\n", + "N5A1 True 1\n", + " False 1\n", + "N5A2 True 1\n", + " False 1\n", + "N6A1 False 2\n", + " True 1\n", + "N6A2 False 2\n", + " True 1\n", + "N7A1 True 1\n", + " False 1\n", + "N7A2 True 1\n", + " False 1\n", + "N8A2 False 2\n", + " True 1\n", + "N96A1 True 1\n", + "dtype: int64" + ] + }, + "execution_count": 123, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# get rows with empty values and extract its \"Individual ID\"\n", + "empty_ind_id = penguin_manager.get_df()[penguin_manager.get_df().isna().any(axis=1)][\"Individual ID\"].unique()\n", + "# then get the rows with the same \"Individual ID\"\n", + "row_ind_id = penguin_manager.get_df()[penguin_manager.get_df()[\"Individual ID\"].isin(empty_ind_id)]\n", + "# now groups by individual id and see if there are samples with NaNs and not NaNs\n", + "row_ind_id_groups = row_ind_id.groupby(\"Individual ID\").apply(lambda x: x.isna().any(axis=1).value_counts())\n", + "# True means that there is at least one NaN in the sample\n", + "row_ind_id_groups" + ] + }, + { + "cell_type": "code", + "execution_count": 124, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Individual ID \n", + "N1A1 False 2\n", + "N24A1 False 2\n", + " True 1\n", + "N25A2 False 2\n", + "N26A2 False 1\n", + "N29A1 False 3\n", + "N29A2 False 2\n", + " True 1\n", + "N46A1 False 1\n", + " True 1\n", + "N50A1 False 2\n", + "N51A1 False 1\n", + " True 1\n", + "N5A1 True 1\n", + " False 1\n", + "N5A2 True 1\n", + " False 1\n", + "N6A1 False 2\n", + " True 1\n", + "N6A2 False 2\n", + " True 1\n", + "N7A1 False 2\n", + "N7A2 False 2\n", + "N8A2 False 3\n", + "N96A1 False 1\n", + "Name: Sex, dtype: int64" + ] + }, + "execution_count": 124, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Now groups by individual id and see if there are samples with NaNs and not NaNs in the Sex column\n", + "row_ind_id_sex = row_ind_id.groupby(\"Individual ID\").apply(lambda x: x[\"Sex\"].isna().value_counts())\n", + "\n", + "# True means that there is at least one NaN in the Sex column\n", + "row_ind_id_sex" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Is interesting to see that some individuals have NaNs in some sample but not in others. This means we may know the truth for each sample of these individuals.\n", + "\n", + "In the case of \"Sex\" I can directly address that." + ] + }, + { + "cell_type": "code", + "execution_count": 125, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1" + ] + }, + "execution_count": 125, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# get the samples with nans in the column \"Sex\"\n", + "samples_with_nans = penguin_manager.get_df()[penguin_manager.get_df().isna().any(axis=1)]\n", + "samples_with_nans = samples_with_nans[samples_with_nans[\"Sex\"].isna()]\n", + "\n", + "# now for each individual id that have rows with nans get its rows\n", + "for individual_id in empty_ind_id:\n", + " # get rows with the same individual id\n", + " rows = penguin_manager.get_df()[penguin_manager.get_df()[\"Individual ID\"] == individual_id]\n", + "\n", + " # check if Sex column has a non-null value\n", + " sex_values = rows[\"Sex\"].dropna().unique()\n", + " if len(sex_values) == 1:\n", + " sex = sex_values[0]\n", + " # assign sex to all rows with the same individual id\n", + " penguin_manager.get_df().loc[penguin_manager.get_df()[\"Individual ID\"] == individual_id, \"Sex\"] = sex\n", + "\n", + "# check the empty rows\n", + "count_nans = penguin_manager.get_df()[\"Sex\"].isna().sum()\n", + "count_nans" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The code is correct, but it didn't edit the added the sex to the rows. I don't know why, I need to investigate further.\n", + "\n", + "Let's see the rows that still have NaNs:" + ] + }, + { + "cell_type": "code", + "execution_count": 126, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Individual IDSex
0N1A1MALE
7N5A1FEMALE
10N6A2MALE
11N7A1FEMALE
12N7A2MALE
14N8A2FEMALE
38N25A2MALE
40N26A2MALE
45N29A1MALE
46N29A2MALE
211N96A1MALE
249N50A1MALE
323N24A1NaN
\n", + "
" + ], + "text/plain": [ + " Individual ID Sex\n", + "0 N1A1 MALE\n", + "7 N5A1 FEMALE\n", + "10 N6A2 MALE\n", + "11 N7A1 FEMALE\n", + "12 N7A2 MALE\n", + "14 N8A2 FEMALE\n", + "38 N25A2 MALE\n", + "40 N26A2 MALE\n", + "45 N29A1 MALE\n", + "46 N29A2 MALE\n", + "211 N96A1 MALE\n", + "249 N50A1 MALE\n", + "323 N24A1 NaN" + ] + }, + "execution_count": 126, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# print the columns with empty values\n", + "penguin_manager.get_df().loc[penguin_manager.get_df().isna().any(axis=1)][[\"Individual ID\", \"Sex\"]]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Apparently the individual ID is not the id of a single penguin, OR the sample have wrong values. OR penguins have the ability to change sex...\n", + "\n", + "*Note: After some research it turned out that Adélie penguin (Pygoscelis Adelia) e il Chinstrap penguin (Pygoscelis antarctica) and Gentoo penguin (Pygoscelis papua) actually have the ability to change sex...* this is actually something important to keep in mind, and it explains why there are\n", + "Individuals with different sex in different samples. This means that would be useless to inference the sex based on the anatomical measures, because they cannot be related, at least not in these 3 species.\n", + "\n", + "I also mean that in out dataset the only way to know the sex is through blood isotopes, but they are missing for these rows." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 6 Detect and handle outliers\n", + "\n", + "Use techniques like box plots, Z-scores, or IQR to identify potential outliers in the data. Depending on the context, decide whether to remove, transform, or keep outliers.\n", + "\n", + "Using to describe() before, I had the idea there wasn't anything strange in the dataset, but I want to be sure. So I will look further into it." + ] + }, + { + "cell_type": "code", + "execution_count": 127, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 127, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.boxplot(data=penguin_manager.get_df().select_dtypes(include=['float64', 'int64']))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The body mass values are in a different range than the other values." + ] + }, + { + "cell_type": "code", + "execution_count": 128, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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ABAEAEEEAAEQQAAARBABABAEAEEEAAEQQAAARBABABAEAEEEAAEQQAAARBABABAEAEEEAAEQQAAARBABABAEAEEEAAEQQAAARBABABAEAEEEAAEQQAAARBABABAEAEEEAAEQQAAARBABABAEAEEEAAEQQAAARBABABAEAEEEAAEQQAAARBABABAEAEEEAAEQQAAARBABABAEAEEEAAEQQAAARBABABAEAEEEAAEQQAABJSos9wHILFiwo9gjrpaKiIgsXLswXX3yRqlWrFnucrcKW+rXAN4ev0ZX5Prj+NqevpaIGQaFQqHz7mGOOKeIkbLZW+BqBovL9io2sUOTvdy4ZAADFfYSgpKSk8u2JEyemrKysiNOsn4qKijz//PNp0aKFh8o2kAULFvz9J7AVvkagqLaC71cbi++D62/F73clRf5+t9k8h6CsrCzl5eXFHmOdVVRUpEaNGikvL/cfAb4httTvVxuL74NbB5cMAABBAAAIAgAgggAAiCAAACIIAIAIAgAgggAAiCAAACIIAIAIAgAgggAAiCAAACIIAIAIAgAgggAAiCAAACIIAIAIAgAgggAAiCAAACIIAIAIAgAgggAAiCAAACIIAIAIAgAgggAAiCAAACIIAIAIAgAgggAAiCAAACIIAIAIAgAgggAAiCAAACIIAIAIAgAgggAAiCAAACIIAIAIAgAgggAAiCAAACIIAIAIAgAgggAAiCAAACIIAIAIAgAgggAAiCAAACIIAIAIAgAgggAAiCAAACIIAIAIAgAgggAAiCAAACIIAIAIAgAgggAAiCAAACIIAIAIAgAgggAAiCAAACIIAIAkpcXceFlZWZo1a1b5NgB8k2xO58GiBkFJSUluvvnmyrcB4JtkczoPFjUIkuLvAAAops3lPOg5BACAIAAABAEAEEEAAEQQAAARBABABAEAEEEAAEQQAAARBABABAEAEEEAAEQQAAARBABABAEAEEEAAEQQAAARBABABAEAEEEAAEQQAAARBABABAEAEEEAAEQQAAARBABABAEAEEEAAEQQAAARBABABAEAEEEAAEQQAAARBABABAEAEEEAAEQQAAARBABABAEAEEEAAEQQAAARBABABAEAEEEAAEQQAAARBABABAEAEEEAAEQQAAARBABABAEAEEEAAEQQAAARBABABAEAEEEAAEQQAAARBABABAEAEEEAAEQQAAARBABABAEAEEEAAEQQAAARBABABAEAEEEAAEQQAABJSos9AHyVkqVLUij2EFuzisVf/jarKVm6pNgjwEYlCNis1fzTXcUe4RvjWzN+U+wRgCJyyQAA8AgBm5+ysrI89NBDG3y9FRUVef7559OiRYtUrVp1g69/S1UoLLsoU1JSUuRJVrY5H6+ysrJijwAbnCBgs1NSUpLy8vINvt6KiorUqFEj5eXlm90JhtU5XrBpuWQAAAgCAEAQAAARBABABAEAEEEAAEQQAAARBABABAEAEEEAAEQQAAARBABABAEAEEEAAEQQAAARBABABAEAEEEAAEQQAAARBABABAEAEEEAAEQQAAARBABABAEAEEEAAEQQAAARBABABAEAEEEAAEQQAAARBABABAEAkKR0bRYqFApJkoqKio06zJZo+T6xbzZ/jtWWxfHacjhWm6/lx2T5efyrlBTWYqlFixblhRde+PqTAQCbXPPmzVO9evWvXGatgmDp0qVZsmRJqlSpkpKSkg02IACw8RQKhSxdujSlpaWpUuWrnyWwVkEAAGzdPKkQABAEAIAgAAAiCACACAIAIIIAAIggAAAiCACACIL1MmfOnBx00EGZNm3aard9+OGHad++fSZMmFCEyVjVlx2rl19+OaecckpatWqV9u3bZ8CAAVmyZEkRpyT58mP1wAMP5LDDDkvr1q1zyCGH5K677irihCTL/v+cdtppadu2bfbff/9ceOGFmTNnTpJkxowZ6d69e1q1apXOnTtn3LhxRZ6WdSEI1tEzzzyTHj16ZObMmavdtnTp0lxwwQX55JNPijAZq/qyYzVnzpyceuqpad++faZPn5677747kydPzq9//esiTsqXHatXX301l1xySQYMGJBnn302AwYMSP/+/fP0008XcdJvtgULFuRf//Vf06pVqzzxxBP53e9+l08//TT9+vXLZ599ljPPPDNHH310nnrqqfTv3z8DBgzI888/X+yxWUuCYB1MnDgxF1xwQc4777wvvf2WW25J3bp1s/POO2/iyVjVmo7Vvffem9133z19+vRJtWrVsssuu+T222/PYYcdVqRJWdOx+utf/5olS5Zk6dKlKRQKKSkpSdWqVf/hC7Sw8cyaNSuNGzfOj3/841SvXj21a9dOjx498tRTT+WRRx5JrVq1cuKJJ6a0tDT77bdfunXrltGjRxd7bNaSIFgHHTp0yKOPPprDDz98tduefPLJPPDAA7n88suLMBmrWtOxev7559OwYcNcdtll2X///dOlS5fcd999qVu3bpEmZU3HqkOHDmnZsmV69eqVpk2bpmfPnjn33HPTokWLIk3K9773vQwfPjxVq1at/NjDDz+cpk2b5rXXXkvDhg1XWv6f//mf8/LLL2/qMVlPgmAd7LjjjiktLV3t47Nnz06/fv0yaNCgbLvttkWYjFWt6Vh99tlnmTBhQlq0aJHJkydn8ODBGTt2bEaMGFGEKUnWfKwWLVqUXXbZJSNGjMiMGTMydOjQ3HzzzXniiSeKMCWrKhQKuf766/PYY4/lkksuyeeff57y8vKVlikrK8v8+fOLNCHrShB8TYVCIRdeeGF69+6dZs2aFXsc/oHq1aunefPmOe6441KtWrU0btw4J510Uh566KFij8Yqbr755lSvXj3t27dPtWrV0rFjx3Tt2jVjx44t9mjfePPmzcs555yT+++/P6NGjUqjRo1SXl6eBQsWrLTcggUL/JC0BREEX9N7772X6dOn55ZbbkmbNm3Spk2bzJo1K//+7/+ePn36FHs8VtGgQYMsWrRopY8tv0bN5mXWrFlZvHjxSh8rLS1NtWrVijQRSTJz5swce+yxmTdvXsaPH59GjRolSRo2bJjXXnttpWVff/317LHHHsUYk/UgCL6mevXq5YUXXsjTTz9d+a9evXq5/PLLM3To0GKPxyqOPfbYvPrqqxk2bFgqKiryyiuvZNSoUTnqqKOKPRqr6Ny5cx588ME8/vjjKRQKmT59eu67775069at2KN9Y3322Wc55ZRT0rp169x2222pU6dO5W0HHXRQPv7444wcOTKLFy/Ok08+mfvvvz/HHntsESdmXax+4Q62Yg0aNMioUaNy7bXX5tZbb01ZWVl69eqV3r17F3s0VtG9e/csWLAgV199dT766KPUq1cvV1xxRTp16lTs0b6xJkyYkFmzZuWhhx7K73//+5Vue+6553L77benf//+uemmm1KnTp384he/yL777lukaVlXJQWPlQLAN55LBgCAIAAABAEAEEEAAEQQAAARBABABAEAEEEAbAB//etfiz0C8DUJAljFW2+9lb59++b73/9+WrVqlS5dumTQoEH5/PPP1+r+06ZNq/z77sXWqFGjtGjRIq1atUrLli3TqlWr9OjRI3/4wx822DZGjx6dSy+9tPL9zp07Z8KECeu0jhkzZuTMM8/cYDOtyf3335+rr756o28HtkSCAFbw7LPP5phjjkn9+vVz77335rnnnsuwYcMyY8aMnH766amoqCj2iOts2LBhee655/KnP/0pU6ZMybHHHpuf/exneeCBBzbI+ufMmfO17r9o0aL07ds3ffv23SDzfJVu3brlL3/5S6ZOnbrRtwVbGkEAK7jsssty9NFH55xzzql84Zbvfve7uf7667P99tvn7bffTrLsJ+9p06ZV3m/ChAnp3Lnzaut755130qhRo9x7773p1KlTWrZsmYsvvjhPP/10jjzyyLRq1SqnnHJK5Um1UCjkjjvuyCGHHJI2bdrkhBNOyIsvvli5vs6dO2fo0KE5+uij06pVqxx99NF58skn1/rzKy8vz/HHH58zzjgjAwcOrHyVx5kzZ+ass85Ku3bt0qlTp1x//fWVrwo5YcKEHH/88bnsssvSunXrdOjQIb/61a9SKBQyceLEDB06NE8//XTatGlTuZ0///nP6dmzZ1q3bp2uXbtm+vTpa5xp3Lhx2WWXXdKgQYMkyUUXXZQrr7wyffr0SatWrXLQQQdl6tSpueqqq7LPPvtk//33z7hx49Zr/ybJSSedlOuuu26t9xl8UwgC+H8zZ87Ma6+9liOOOGK123bYYYf86le/yu67775e6/7jH/+YBx98MHfffXd++9vf5qqrrsqwYcPyX//1X3nvvfcyZsyYJMmYMWMyYsSI3HjjjZk6dWr+5V/+Jaeddlo+/vjjynXdc889ufHGGzNlypQ0btw4V1xxxTrP07Fjx3zwwQd58803M3/+/Jx66qnZY4898t///d8ZM2ZMpkyZkptvvrly+RkzZqS8vDxTp07NkCFD8utf/zrjx4/PMccckz59+qRNmzZ5+umnK5d/4okncu2112b69Olp1arVSpcUVjVmzJjV9vk999yTH/7wh3nmmWfSokWLnHHGGdl9990zderU9OnTJ1deeeVKL2O9tvs3WRZVb7zxRl544YV13m+wNRME8P+W/xS5ww47bPB1n3766SkvL0/Dhg2z44475phjjslOO+2UOnXqpGXLlnn33XeTLLse36dPnzRu3DjVqlXLcccdlwYNGuS+++6rXNdxxx2X3XbbLeXl5enWrdt6PaGvdu3aSZJPP/00kydPzqJFi3L++eenRo0a2XnnnXPuuedm9OjRlcvXqlUrF1xwQWrUqJHmzZunR48eK820qh49euQ73/lOSktLc+ihh1Y+srKqjz/+OK+//npat2690sf33XfftGnTJlWqVMm+++6bbbbZJr17905paWk6deqURYsWrRRJa7t/k6SsrCyNGzd22QBW4eWP4f/tuOOOSZKPPvroSx8J+Pjjj9c7FmrVqlX5dtWqVbPddttVvl+lSpXKh+7ffffdDBw4MIMGDaq8fcmSJWnWrFnl+yvOUFpamvV5wdLZs2cnSbbffvs8++yzmTNnTvbZZ5/K2wuFQhYvXly5XP369VOtWrXK23feeec8/PDDa1z/ip9vtWrV1vjci1mzZiVJdtpppzXef9X9VVJSkiRZunTpWi2/4v5drm7dunn//ffXOD98EwkC+H/169dPw4YN8+CDD650ckyWnUA7deqUAQMG5IgjjkiVKlWyePHiyts/+eSTr1z38pPYP1K3bt2cc8456dq1a+XHZs6cudIJb0N47LHHUr9+/ey2226pW7duvvOd76z0+vbz5s3L7NmzK59H8eGHH6ZQKFR+Hu+8807q1av3teeoUmXZg5QrntyTtd9f67t8RUVF5baBZfyPgBVceumlueeeezJ48OB88sknKRQKeemll3LWWWeladOmOeSQQ5IkDRo0yMMPP5wlS5Zk5syZGT9+/AbZ/vHHH58hQ4bkjTfeSJI8/vjj6dq1a5566qkNsv758+dnzJgxufPOO3PxxRenpKQknTp1yueff57hw4dn0aJFmTt3bvr27Zvzzjuv8kT70Ucf5dZbb83ixYvz/PPPZ9y4cenevXuSpEaNGpk3b956PVKxPCo++OCDDfL5ra0PP/xwgwQNbE08QgAraNu2bUaNGpX//M//TNeuXfPFF19khx12yKGHHpo+ffpUPmx++eWXZ8CAAWnbtm123333HHfccStdc19fp556agqFQs4+++x8+OGH2WmnnXLZZZflwAMPXO91/vCHP0zVqlWTLPstgz333DNDhgxJ+/btkyQ1a9bMyJEj88tf/jLDhw/P0qVL065duwwZMqRyHTvuuGPeeeeddOjQIdtuu23OPffcHH744UmSTp065a677sree++dyZMnr9NsderUSZMmTfLMM8+s9xM219XChQvz5z//OVddddUm2R5sKUoK65P1wDfGhAkTMnjw4EyaNGmjrH/UqFGZPHlyhg8fvlHWv6rf/e53ueOOO3L33Xdvku3BlsIlA6Cojj/++Pzv//5vXn/99U2yvTvuuCPnn3/+JtkWbEkEAVBU1atXz8CBAzNw4MCNvq3f/va3adq0afbdd9+Nvi3Y0rhkAAB4hAAAEAQAQAQBABBBAABEEAAAEQQAQAQBABBBAAAk+T+pS0wGOCFS1gAAAABJRU5ErkJggg==\n", 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\n", 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\n", 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\n", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "numerical_cols = penguin_manager.get_df().select_dtypes(include=['float64', 'int64'])\n", + "\n", + "# Creare un boxplot per ogni colonna numerica\n", + "for col in numerical_cols:\n", + " sns.boxplot(x=penguin_manager.get_df()[col])\n", + " plt.title(col)\n", + " plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "There are evident no outliers in the dataset seen with the box plot.\n", + "\n", + "I will calculate using the standard deviation method." + ] + }, + { + "cell_type": "code", + "execution_count": 129, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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studyNameSpeciesIslandIndividual IDClutch CompletionDate EggCulmen Length (mm)Culmen Depth (mm)Flipper Length (mm)Body Mass (g)SexDelta 15 N (o/oo)Delta 13 C (o/oo)feature
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" + ], + "text/plain": [ + "Empty DataFrame\n", + "Columns: [studyName, Species, Island, Individual ID, Clutch Completion, Date Egg, Culmen Length (mm), Culmen Depth (mm), Flipper Length (mm), Body Mass (g), Sex, Delta 15 N (o/oo), Delta 13 C (o/oo), feature]\n", + "Index: []" + ] + }, + "execution_count": 129, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "numerical_cols = penguin_manager.get_df().select_dtypes(include=['float64', 'int64'])\n", + "\n", + "means = numerical_cols.mean()\n", + "stds = numerical_cols.std()\n", + "\n", + "# set the threshold to 3 standard deviations\n", + "threshold = 3\n", + "\n", + "outliers = pd.DataFrame()\n", + "\n", + "for col in numerical_cols.columns:\n", + " col_outliers = penguin_manager.get_df()[(penguin_manager.get_df()[col] < means[col] - threshold * stds[col]) |\n", + " (penguin_manager.get_df()[col] > means[col] + threshold * stds[col])]\n", + " col_outliers['feature'] = col\n", + " outliers = pd.concat([outliers, col_outliers])\n", + "\n", + "outliers.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Even this method doesn't find any outliers for 3 standard deviations.\n", + "\n", + "Calculating the z-score (how many st dev from the mean):" + ] + }, + { + "cell_type": "code", + "execution_count": 130, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Requirement already satisfied: scipy in c:\\users\\stefa\\miniconda3\\envs\\mchinelearning\\lib\\site-packages (1.9.3)\n", + "Requirement already satisfied: numpy<1.26.0,>=1.18.5 in c:\\users\\stefa\\miniconda3\\envs\\mchinelearning\\lib\\site-packages (from scipy) (1.23.5)\n" + ] + } + ], + "source": [ + "warnings.filterwarnings('ignore')\n", + "!pip install scipy\n", + "from scipy.stats import zscore\n", + "warnings.filterwarnings('default')" + ] + }, + { + "cell_type": "code", + "execution_count": 131, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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studyNameSpeciesIslandIndividual IDClutch CompletionDate EggCulmen Length (mm)Culmen Depth (mm)Flipper Length (mm)Body Mass (g)SexDelta 15 N (o/oo)Delta 13 C (o/oo)
\n", + "
" + ], + "text/plain": [ + "Empty DataFrame\n", + "Columns: [studyName, Species, Island, Individual ID, Clutch Completion, Date Egg, Culmen Length (mm), Culmen Depth (mm), Flipper Length (mm), Body Mass (g), Sex, Delta 15 N (o/oo), Delta 13 C (o/oo)]\n", + "Index: []" + ] + }, + "execution_count": 131, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "z_scores = np.abs(zscore(penguin_manager.get_df().select_dtypes(include=['float64', 'int64'])))\n", + "\n", + "# print the rows with z-score > 3 or < -3\n", + "penguin_manager.get_df()[(z_scores > 3).any(axis=1)]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Overall, no outliers have been found.\n", + "\n", + "At this point I can say that there are no important outliers in the dataset, so I can move on." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 7 Analyze relationships between variables\n", + "\n", + "Using scatter plots, correlation matrices, and cross-tabulations to explore relationships between pairs of variables. This will help identify potential multicollinearity, interactions, or confounding variables that may need to be addressed in your analysis.\n", + "\n", + "I will create some scatter plot and a bubble plot (no need for both, it's for future reference, where I could add a third numerical dimension) to see if there are some correlations between the features:" + ] + }, + { + "cell_type": "code", + "execution_count": 132, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "numerical_cols = penguin_manager.decode().select_dtypes(include=['float64', 'int64'])\n", + "columns = numerical_cols.columns\n", + "\n", + "nrows = len(columns) - 1\n", + "ncols = 2\n", + "\n", + "fig, axs = plt.subplots(nrows=nrows, ncols=ncols, figsize=(15, 5 * nrows))\n", + "\n", + "for i, col1 in enumerate(columns[:-1]):\n", + " for j, col2 in enumerate(columns[i + 1:]):\n", + " if j * 2 < ncols:\n", + " axs[i, j * 2].scatter(penguin_manager.get_df()[col1], penguin_manager.get_df()[col2])\n", + " axs[i, j * 2].set_xlabel(col1)\n", + " axs[i, j * 2].set_ylabel(col2)\n", + " if j * 2 + 1 < ncols:\n", + " axs[i, j * 2 + 1].scatter(penguin_manager.get_df()[col1], penguin_manager.get_df()[col2], s=penguin_manager.get_df()['Body Mass (g)'] / 20)\n", + " axs[i, j * 2 + 1].set_xlabel(col1)\n", + " axs[i, j * 2 + 1].set_ylabel(col2)\n", + " axs[i, j * 2 + 1].set_title('Bubble plot - Body Mass')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Some couple also have a good correlation, some of them appear to be grouped in a cluster, it may be the \"Sex\", the \"Species\" or the \"Island\". But I will check that.\n", + "\n", + "I will do the same with sns.pairplot, but with all features and I will add the sex, island and species as hue." + ] + }, + { + "cell_type": "code", + "execution_count": 133, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 133, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the pairwise relationships between the columns\n", + "sns.pairplot(penguin_manager.get_df(), vars=numerical_cols.columns[:-1], hue=\"Sex\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "No important correlation with sex found in the scatter plot, which is expected since now I know they can change sex." + ] + }, + { + "cell_type": "code", + "execution_count": 134, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 134, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.pairplot(penguin_manager.get_df(), vars=numerical_cols.columns[:-1], hue=\"Island\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The correlation with the island may be a little more evident, but it's not very important." + ] + }, + { + "cell_type": "code", + "execution_count": 135, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 135, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.pairplot(penguin_manager.get_df(), vars=numerical_cols.columns[:-1], hue=\"Species\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The correlation with the species seems to be more important since the clusters and normal distributions are more evident." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Graphically we can see a good correlation between many couples, for instance the features body mass and flipper length is very correlated.\n", + "\n", + "But also compared to the 3 nominal category, we can see that some clusters are formed, and some of this cluster also have a linear correlation. Also, this separation clearly shows a that there is a tendency in the normal distributions of the features that doesn't appear with the sex separation. The most evident is the species separation.\n", + "\n", + "Overall, species and island seems to be more informative than sex. Again, these penguins can change sex and it seems that the only way to find the sex is though blood isotopes.\n", + "\n", + "Now I will check it with the linear correlation matrix." + ] + }, + { + "cell_type": "code", + "execution_count": 136, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Get the numerical columns\n", + "numerical_cols = penguin_manager.get_df().select_dtypes(include=['float64', 'int64'])\n", + "columns = numerical_cols.columns\n", + "\n", + "# Create a new dataframe without NaN values\n", + "noNan = penguin_manager.get_df().dropna()\n", + "\n", + "corr_matrix = noNan.corr(numeric_only=True)\n", + "\n", + "fig, ax = plt.subplots(figsize=(10, 10))\n", + "\n", + "warnings.filterwarnings('ignore')\n", + "sns.heatmap(corr_matrix, annot=True, cmap=\"coolwarm\", ax=ax)\n", + "warnings.filterwarnings('default')\n", + "\n", + "ax.set_title(\"Linea Correlation Matrix\")\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This also shows a correlation between the features body mass and flipper length. As well as some others important correlations of couples.\n", + "\n", + "Now I will check the correlation with the Spearman method which is used to find non-linear correlations. There is also the Kendall method, but I will use only the Spearman method." + ] + }, + { + "cell_type": "code", + "execution_count": 137, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 137, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Create a new dataframe without NaN values\n", + "noNan = penguin_manager.get_df().dropna()\n", + "\n", + "# Create the correlation matrix with the spearman method\n", + "spearmanCorrMatrix = noNan.corr(method='spearman', numeric_only=True)\n", + "\n", + "sns.heatmap(spearmanCorrMatrix, annot=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This method shows a correlation based on the monotone relationship between the features. This means tha the also linear correlation is taken into account. The result are similar to the linear correlation matrix.\n", + "\n", + "However, to see a better correlation I should check after grouping by the nominal features which I won't do." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + }, + { + "cell_type": "code", + "execution_count": 138, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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studyNameSpeciesIslandIndividual IDClutch CompletionDate EggCulmen Length (mm)Culmen Depth (mm)Flipper Length (mm)Body Mass (g)SexDelta 15 N (o/oo)Delta 13 C (o/oo)
0PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN1A1Yes2007-11-1139.118.7181.03750.0MALENaNNaN
1PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN1A2Yes2007-11-1139.517.4186.03800.0FEMALE8.94956-24.69454
2PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN2A1Yes2007-11-1640.318.0195.03250.0FEMALE8.36821-25.33302
3PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN3A1Yes2007-11-1636.719.3193.03450.0FEMALE8.76651-25.32426
4PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN3A2Yes2007-11-1639.320.6190.03650.0MALE8.66496-25.29805
..........................................
337PAL0910Gentoo penguin (Pygoscelis papua)BiscoeN38A1No2009-12-0147.213.7214.04925.0FEMALE7.99184-26.20538
338PAL0910Gentoo penguin (Pygoscelis papua)BiscoeN39A1Yes2009-11-2246.814.3215.04850.0FEMALE8.41151-26.13832
339PAL0910Gentoo penguin (Pygoscelis papua)BiscoeN39A2Yes2009-11-2250.415.7222.05750.0MALE8.30166-26.04117
340PAL0910Gentoo penguin (Pygoscelis papua)BiscoeN43A1Yes2009-11-2245.214.8212.05200.0FEMALE8.24246-26.11969
341PAL0910Gentoo penguin (Pygoscelis papua)BiscoeN43A2Yes2009-11-2249.916.1213.05400.0MALE8.36390-26.15531
\n", + "

342 rows × 13 columns

\n", + "
" + ], + "text/plain": [ + " studyName Species Island Individual ID \\\n", + "0 PAL0708 Adelie Penguin (Pygoscelis adeliae) Torgersen N1A1 \n", + "1 PAL0708 Adelie Penguin (Pygoscelis adeliae) Torgersen N1A2 \n", + "2 PAL0708 Adelie Penguin (Pygoscelis adeliae) Torgersen N2A1 \n", + "3 PAL0708 Adelie Penguin (Pygoscelis adeliae) Torgersen N3A1 \n", + "4 PAL0708 Adelie Penguin (Pygoscelis adeliae) Torgersen N3A2 \n", + ".. ... ... ... ... \n", + "337 PAL0910 Gentoo penguin (Pygoscelis papua) Biscoe N38A1 \n", + "338 PAL0910 Gentoo penguin (Pygoscelis papua) Biscoe N39A1 \n", + "339 PAL0910 Gentoo penguin (Pygoscelis papua) Biscoe N39A2 \n", + "340 PAL0910 Gentoo penguin (Pygoscelis papua) Biscoe N43A1 \n", + "341 PAL0910 Gentoo penguin (Pygoscelis papua) Biscoe N43A2 \n", + "\n", + " Clutch Completion Date Egg Culmen Length (mm) Culmen Depth (mm) \\\n", + "0 Yes 2007-11-11 39.1 18.7 \n", + "1 Yes 2007-11-11 39.5 17.4 \n", + "2 Yes 2007-11-16 40.3 18.0 \n", + "3 Yes 2007-11-16 36.7 19.3 \n", + "4 Yes 2007-11-16 39.3 20.6 \n", + ".. ... ... ... ... \n", + "337 No 2009-12-01 47.2 13.7 \n", + "338 Yes 2009-11-22 46.8 14.3 \n", + "339 Yes 2009-11-22 50.4 15.7 \n", + "340 Yes 2009-11-22 45.2 14.8 \n", + "341 Yes 2009-11-22 49.9 16.1 \n", + "\n", + " Flipper Length (mm) Body Mass (g) Sex Delta 15 N (o/oo) \\\n", + "0 181.0 3750.0 MALE NaN \n", + "1 186.0 3800.0 FEMALE 8.94956 \n", + "2 195.0 3250.0 FEMALE 8.36821 \n", + "3 193.0 3450.0 FEMALE 8.76651 \n", + "4 190.0 3650.0 MALE 8.66496 \n", + ".. ... ... ... ... \n", + "337 214.0 4925.0 FEMALE 7.99184 \n", + "338 215.0 4850.0 FEMALE 8.41151 \n", + "339 222.0 5750.0 MALE 8.30166 \n", + "340 212.0 5200.0 FEMALE 8.24246 \n", + "341 213.0 5400.0 MALE 8.36390 \n", + "\n", + " Delta 13 C (o/oo) \n", + "0 NaN \n", + "1 -24.69454 \n", + "2 -25.33302 \n", + "3 -25.32426 \n", + "4 -25.29805 \n", + ".. ... \n", + "337 -26.20538 \n", + "338 -26.13832 \n", + "339 -26.04117 \n", + "340 -26.11969 \n", + "341 -26.15531 \n", + "\n", + "[342 rows x 13 columns]" + ] + }, + "execution_count": 138, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "penguin_manager.get_df()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 8 Explore categorical variables\n", + "\n", + "Investigate the distribution of categorical variables using frequency tables, bar plots, or pie charts. Look for patterns, imbalances, or rare categories that may require special handling." + ] + }, + { + "cell_type": "code", + "execution_count": 139, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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studyNameSpeciesIslandIndividual IDClutch CompletionSex
count342342342342342341
unique33319023
topPAL0910Adelie Penguin (Pygoscelis adeliae)BiscoeN69A1YesMALE
freq1191511673307171
\n", + "
" + ], + "text/plain": [ + " studyName Species Island Individual ID \\\n", + "count 342 342 342 342 \n", + "unique 3 3 3 190 \n", + "top PAL0910 Adelie Penguin (Pygoscelis adeliae) Biscoe N69A1 \n", + "freq 119 151 167 3 \n", + "\n", + " Clutch Completion Sex \n", + "count 342 341 \n", + "unique 2 3 \n", + "top Yes MALE \n", + "freq 307 171 " + ] + }, + "execution_count": 139, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# get the categorical columns\n", + "categorical_cols = penguin_manager.get_df().select_dtypes(include=['object'])\n", + "df_categorical = penguin_manager.get_df()[categorical_cols.columns]\n", + "df_categorical.describe()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Species" + ] + }, + { + "cell_type": "code", + "execution_count": 140, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Species distribution')" + ] + }, + "execution_count": 140, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# shows the species distribution\n", + "sns.countplot(x='Species', data=df_categorical)\n", + "plt.title(\"Species distribution\")" + ] + }, + { + "cell_type": "code", + "execution_count": 141, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# shows on which island species live on a count plot\n", + "sns.set_style(\"whitegrid\")\n", + "\n", + "sns.countplot(x=\"Island\", hue=\"Species\", data=df_categorical)\n", + "\n", + "plt.title(\"Observations per Island and Species\")\n", + "plt.xlabel(\"Island\")\n", + "plt.ylabel(\"Observations\")\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 142, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([,\n", + " ,\n", + " ],\n", + " dtype=object)" + ] + }, + "execution_count": 142, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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8+5uJSGlxe4yTWjel5xQSn+IiLiWHfaku9qXmsj81hwNpOeQXGX9zb76rUpCDxjXDaFq7Mk1rhdGkVmWaR1Smee3K1KkaCnhbYnlMU0UOERGR8mS4AdtvE/25aZC6B1J3wbG4377S94O7wMqk/47dCTWaQK0Wv33VPsf7FV7Hexvj+E4R7eYQEREpN57fdZ8AyMgtZF9qDnuSXexLySE+1Ts/cuBYLgXuijsv4rDbaFijEs1qe+dCmtUO56w6lWkREf7bvMjxHR2aFxE5MypmiJShP75BHziWQ8zBDLYczmDL4Ux2JWbjKijfnRW+IDzEyXn1qnBB/WpcUL8qFzaszll1KuO0271nfpgmTr2Ri4iI/Hse9/HdFscLF+kH4HA0HN0ERzZB4lbIz7AwoEWCwyGyFdRrC/XbQsNOUKM52O1gGMd3cQT93b2IiIjI33AbBjZ+W9B5JCOPjQfT2ZqQydaETGKPZJGRW2RxyvJXKcjBefWq0KpBNVo3qEa7xtVpVjsch92mAofIX1AxQ6QUFXmM4jebo5l5bDyYweZD3sLFtoRMsgOwcHGmQpx2zq9XlQsbVadNw2p0bFqTxjXDgJN/ryIiIvIXPEW/TcJnHoKDa7xFi6Ob4OgW75kWcmpBYRDZ2lvcqNcGGl0Etc7yXucpVIsqERGRM1DkMYpbKSVl5RO9P42th72Fi21HMsu9VXZFcmJepFWDarRqUI0OTWrQok44oHkRkRNUzBD5Fwx3EXand8Jgd1I2y3ansDr+GBsPZpCWU2hxuoqvRlgQF59Vi65n1aZHywga1QgrPmxcb+IiIiKcXLzIOAjxUbB/OexfCVkJlkbzC5UjoElXaNoNzrrM26oKVNwQERE57o/Fi+V7UlgTn8aa+GMcTrfgXC0/UyMsiM7NanJR81p0a1Gbs+tWAVTckMClYoZISRgeb6sGmx0yD2OG1WLPMTc3f7ya9ADcFlne6lcL5ZIWtbnkrFpcek4EtcJDMMwTh2jpTVxERAKAYQCmt21U5iHYu0TFi/J0UnGjl3fnhml4z9040cpLRETEjxmm6T1uyq7ihRVOVdz4/X8TEX+nYobI3zmx4rEoH/Ytg7hfIW4hpMVjDvqCnGa9aTVqkdUpA9JZEZW55KzaXNoygh5nRxDstOP2GDpvQ0RE/IvH7T2g2vDAoXWwcw7smgdp8VYnk2oN4ZyroWUfaNbDO2b8/W4ZERERP+D2GDjsNkxg06EMFsQm8uv2ZPamuKyOFvDqVAmh17l16H1BJN1a1CbYadeuDfFrKmaInMqJD6H5WRA7E2JnwYGV3pYCv9fxbsy+b3HRa4tJyiqwJKp4hQU76Nkygmta1eOK8+pSKdihwoaIiFRcJ8YihTmwewHsmutdTJGXbnUyOZ3gcO9ujZbXwLl9IbSaChsiIlJhnZgQzy/yELUrhYU7kli8M1kttX1YaJCdbi1qc8X5del9fiQ1KwdrXkT8jooZIiecWPVYlAvb58C27yB+ifdD6OnUbA6PbOTdhbt5e+Ge8ssqfynEaafb2bW5plUkV10QSZXQIK1MEBER33di4jsvHbZ+Bzt/Or6YQq0sKxybHRp2gnP7wYU3Q5W6KmyIiIjPOzHxnZ1fxJzNR5kfm8ia+GMUuA2ro0kJ2WzQpmF1rjy/Lv3bNaBe9UoqbIhfUDFDApvhBpsDjCLYPd87cbBnPhSdeZ9Hc9h2trvC6fv+ijIMKv+U027joua1uLpVJP0urEf1MK1MEBERH2K4we4EdwFsnw1bv/aeg2G4rU4mpcVm856zceHNcEF/CAn/bRGNiIiIxTyGid0Gbo/Jwh1JzNyYwNJdKRR6VMDwJx2a1OCGtg24vl19qoYGaV5EKiwVMyTwnDjE2zQhPgq2fgs750JB1j+7v2vfo7D1LZzzwsJSjSmlL8hho9e5dbm1cyN6nB2BCdhtYLPpkCwRESlH5u8mB+KjYPNX3rFIofpO+z1nCJx9lbewcc7V3kPDTUOHh4uISLk6cWC0zQbR+9L4LuYwv2xNJLtAiyn8XZDDRo9zIujfrgFXnh9JkMOGYZo47CpsSMWgYoYEjhNb+49shJgvYPssyD327+/3gv5w01SueXcZO45m//v7k3IRWTWUAR0aclvnxjSooe2WIiJSDk6MRVJ2wYapsO17cCVbnUqsUqkGnH89tL8TGrRXGyoRESlzJz73HjiWw/S1B/lx0xESs/KtjiUWCQ9xck2rSG7p1IgOTWtqXkQqBBUzxP8ZHu8ujNiZsHYCJGwo3fsPqwVPxvPlmgOMmLWtdO9bypzNBhc1q8UtnRtxTat6OB3eXRp27dYQEZHSYJrHv9ywbSasnwyH1lmdSnxNZGvocBe0vRWclQDTe+6GiIjIv2SaJobp/fOX2ESmrTnAmvg0q2OJj2lRJ5zbuzTmpg6NqBziwDDBYde8iPgeFTPEPxke73b93DRYNxHWTwVXUpk9nPnAag46m3Dpm1Fl9hhS9qpWcnJ9mwbc3a0ZzWpXxm0YOLXVUkRE/okTZ2FkJsDa8bBxmvdgb5G/EhwOFw6Cix6E2mfrbA0REfnHPIaJw24jJbuAT1ft5+vog6S6Cq2OJT4uNMjOtW3qc0+3ZpwbWVW7NcTnqJgh/uXE9vyjW2D1BxD7A3jK4c36ypcxugyl+XO/lv1jSZmz2eCylnV4oOdZdNJWSxERKYkTk8/xS71FjN3zTz4jQ+RMNesBne+Hc/uAYaioISIiZ+TE59fo/WlMWbGPBduT8Bia+pOS69CkBnd1bco1rephmqbmRcQnqJgh/sHwACbE/uidODgcXb6Pf9blMHgmd02NZsku9b72J20aVuO+Hs25plU9DL15i4jI6XjcYLfD1u9h5duQFGt1IvEXNZpB10eg3WDvigu7ihoiIvJnbo+B3W5jQWwiHy7Zy9aETKsjiZ+oXy2UIT2ac1uXxjjtdrWfEkupmCEVm2FAQRas+xjWT4Hso9bkCKqE+fQh5m1P5cEvY6zJIGWqUc1K3N21Gbd2bkyQQ2/eIiJynOH27ryI+QJWvQfp+61OJP4qvC5c/BB0HgKOEG9LVRERCXhuw8CGjZkxh5mwdC97U3KsjiR+qmblYP5zSVPu7tqMsGAHNhvYdN6olDMVM6RiMjxQlAcr3vbuxCi0/s3a/M/PpNZsT6dXF1sdRcpQtUpB3N6lMUO6N6dapSDsFaSo0bJlS0JCQnA4HJimSVBQEB07duSFF16gXr16APTt25f777+f6667zuK0IiIVgOEBd4F3QcWaj8r0bC6Rk4RWh873wsUPQ2hVwObdsSEiIgHFY5i4DYMv1xzkk+XxHM3MtzqSBIjwECe3dWnM/Zc2p2ZYMKZJhZkbkYpPxQypWAy391yM1R/Aqg8gP8PqRL/p/jjmZc/S8oVfKXSrN7a/qxTk4D+XNOWhy1pQKdjh8zs1WrZsyeeff06XLl0AcLlcDB8+HJfLxbRp0yxOJyJSgRgeKMiGVe9D9CTfGotIYAkKg/aDofvjUDkCbGqFKSISCDyGSX6Rh8kr9vHpqv2k5ehQb7FGiNPOgPYN+W+vFtSrFgpop4aUPY14pWIw3N6DvNdOgHdaweLRvjd5EL8Em91J/3YNrE4i5SCvyMP4pXu5ZMwixkftJb/Ig9uoOEWs8PBwBg0axLZt24ov69WrFzNnzgQgOjqa/v3707FjR6688kpeeeUV3G43AGlpaQwfPpxOnTrRpUsXhg0bRmamtx9rQkICjz32GBdffDFdu3bl8ccfJzn5t3NkYmNjGTx4MJ06daJ37958+umnqKYuIhWC4YaifFj+FrzTGpaP9b2xiASWolxYOxHeuRB+fQHys46fIyciIv7I7TEochtMWh5P19cXM+7X3SpkiKUK3AbT1x3k0jeX8OLsWDJyi3TYvJQ5FTPEt3nc3smDmM/h3TYwfwTkpFqd6tSObMIscHFd2/pWJ5FylJXvZuyCXXR7fTFfrD5AkcfA7fH9okZmZiZz586ld+/ep7z+ySefZPDgwaxfv56pU6fyyy+/sGjRIgAeffRRXC4XCxYsYNGiRWRlZTFq1CiKioq4++67cTgcLFiwgHnz5gEwdOhQ3G43SUlJ3HnnnVx99dWsWrWKjz76iOnTp/P111+X2/MWESmxE2OR9VPg3daw5BXveV0ivsKd790p9E4rWPmOt/2Z4bY6lYiIlBK3x8AwTGbGJNDjzSW8Nm8nGblFVscSKVbkMfl89QG6vb6YdxftJq/Qo6KGlBm1mRLf5CnyHmq45RuIGgPp+6xOdEbMm78kp8kVtHppkdVRxCINqldi2BVn0799QwzTxOnwjZpxy5YtCQsLw+FwYBgGOTk5VKlShYkTJ9KhQwfAuzPjv//9L/379+fqq6+mcePG3HrrrXTq1ImwsDDsdjsJCQn06tWLX375hWbNmgGQkpJCRkYGqamp3HPPPaxbt47w8HDA286qc+fOTJ8+nejoaBYuXHhS8eLrr79m2rRpzJkzp/x/KSIif8XjBocTtn7n3RFaQcYiIlSJhEufgvZ3eg+ndwRZnUhERP4Bt8fA6bCzIDaR13/Zxd4Ul9WRRM5IzcrB/PeyFgy+uAk28Jl5EfEPTqsDiJzEcIPdCbvmwZLRkLLL6kQlYotfQuVz+1A7PJhUl7Z7BqKEjDyGf7eF8UvjeerqlvS+IBKPYfrEmRoTJkwoPjMjPz+fL7/8kjvvvJOvv/6aCy644KTbfvbZZ7z//vuMGjWKlJQUunfvzsiRI0lJSQGgQYPf2qlFREQQERHBrl27qFGjRnEhA7ztrKpXr05CQgIJCQnExsbSsWPH4usNw8DhcJTl0xYRKRnD411QsX8Z/PoiJG6xOpFIyWQnwk/DvLs1Ln8RLrjhtzG2iIj4vBOfH2MOZvDazzvYeCjD6kgiJZKWU8hLP21nysp9/O/Kc7ihXQMMw3cWe0rFpv8Xie8wDUjbB1OvgW8GV7hCBuA9N8Nm57Yuja1OIhbbm+Livi82cMektRxOz8XwsU1woaGh3HPPPVSuXJlVq1addF1BQQFxcXGMHDmSqKgofvrpJ7Kzs3n11VepV68eAEeOHCm+fVxcHO+88w4NGjQgPT0dl+u3FUPZ2dmkp6cTERFBZGQkXbp0Yf369cVfixYt4ocffiifJy0i8ndMA7ISYNoA+OJGFTKkYkuLh2/vhMlXesfVpun9EhERn+UxTFKyC7j/iw0MmrhahQyp0A6n5/G/bzZz3Qcr2H7U26bV1+ZGpOJRMUOs53F7e/suegnGXwwHVv39z/iqY3sxsxO58ry6VicRH7EiLpUrxy3jzV92eQ8J95HzNNxuN99//z1ZWVnFbaZOsNls/O9//2PKlCm43W4iIiJwOp3UqFGDunXr0rVrV9544w2ysrJwuVy8+eabHDp0iNatW9OiRQtefPFFsrOzyc7OZuTIkTRu3Jj27dtz7bXXsmnTJmbPno3b7SY5OZmhQ4cyZswYi34LIiLHnRiLLHkFPugIcQutTiRSeg6tgwnd4OfhUJij8zRERHyQ22NQ5DEYH7WXy8ZGMT820epIIqVmW0IW13+4kie+20x2nhuP4RvzIlIx6cwMsc6JNg6753s/XGUctDpR6bjuAwpaDaLlC5oIkZPVrxbK8/3O55rW9cq99VTLli0JCQkpbulks9lo2rQpQ4YM4ZprrgFOPjMjJiaG119/nbi4OBwOBz169ODFF1+kSpUqpKWlMWbMGFauXInb7aZXr16MGDGC8PBwjh49ypgxY4iOjqawsJBLLrmEp59+mvr16wOwceNGxo4dy549e3A4HPTs2bP4Z0VEyt2JscjOufDL0/4zFhE5ncq14YqXoN3tv50LIyIiljnxuXDFnhSe/zGWfak5VkcSKVPVKgUx/KqW3N6lsVpPyT+iYoZYw/BATjLMfdw7geBPWg2AgVO4+u1l7EzKtjqN+KDuZ9dm9A2taFQzDLvN+rM0REQCkmlA5mHv2QLaiSGBplFn6PcO1Dnf+73GIyIi5e5ES6kXZ8dqJ4YEnFYNqvLKja1p07A6hmlqbkTOmIoZUr48bu+HpdUfwtIx3q3u/qZyBDwRx2er9vPi7Fir04iPCnbYuadbMx694mycdptWI4iIlBePGzBh6euw6j1veymRQGSzQ6d74MqXwB6sXRoiIuXE7TGw2WxMXLqX9xfHkVfksTqSiCVsNripQyNe6Hc+oUF2zYvIGVExQ8qHaXg/MB1aB3MeheTtVicqU+aDa9lvb8RlY6OsjiI+rmGNSowb1JbOzWpaHUVExP+ZBiRugx/ug+QdVqcR8Q3VG8P1H0KzHt4DwrUyUkSkzBiGSXyqi8e+3sS2hCyr44j4hDpVQhgz4EJ6nVtHuzTkb6mYIWXP44aiXJj/LGya5v2Q5O96j8bT+X7Oeu5Xq5NIBWCzwd1dm/HU1edit6HVCCIipc1z/MDjqFdh5TvedpcicrKOd8NVr4LdCY4gq9OIiPiVE7sxPoqK4/1FcRR6dACyyB/1b9+Al65rpV0a8pdUzJCyZZpwYCV8fy9kH7U6TflpcQXc8T13Tl7L0j2pVqeRCuKsiHDevaUtF9Svik0rEURESod2Y4icueqN4fqPoFl37dIQESklhmGyLzWHx77exNaETKvjiPi0ulVDGNP/Qi7TLg05DRUzpGwYx1dALh4NK9/1TiQEkuDKmE8d5KdtyTw8Y6PVaaQCcdhtPNDzLIZdcQ6maWo1gojIP3ViN8bS12DFO7+NTUTkr9ls0PEe6D1auzRERP4Ft8fAbrMxfule3l24R7sxREpgYIeGjLzuAkKd2qUhJ1MxQ0qf4YGsBPj2TkiIsTqNZcy755NSrQ2dX1tsdRSpgM6vV5X3bm1L89rh2O1aiSAiUiKGB1L3wPd3Q1Ks1WlEKqbqTWDAJ9Cwk/fsOxEROWMew+Rwei4Pz9jIlsPajSHyT9StGsK4QW255Kxa6l4hxTQqldJzYvfFlm/go4sDupABYItbSER4EMFO/TOTktt+NIs+765gwtK9GKaJx1DdWUTkbxnHxyIbPoWPL1UhQ+TfyDgAU6+BZWO943ydNSMi8rdOrBeevfkIfd5drkKGyL+QlFXAHZPX8sYvu/AYmhcRL+3MkNLhKQJPIcx5BLZ+Z3Ua39CwI9y7iCe+28y36w9bnUYqsIvPqsWHt7WnaqhT2ytFRE7nxFjkx4cg9ger04j4l+Y9YeAUCKkGDqfVaUREfJLbY+A2TJ6btY3vNmgOQKQ0dWhSg49ub0+t8GCcds2LBDIVM+TfMw04shG+vcu7gku87A7Mpw+x4kAugyevszqNVHAR4SG8f1s7ujSrqe2VIiJ/dOKQ72/+D9L3WZ1GxD+F14EBk6Fpdx0MLiLyB57jh3wPnbaBuGSX1XFE/FL1sCDeuqkNl59X1+ooYiGVsuSfMzzeyYNlb8LkK1XI+CPDA/FLadugitVJxA+kuAq47ZM1vLdoj9pOiYiccKKt1JrxMOlyFTJEypIrGT6/HhaPVtspEZHjjOPrg79Zf4h+7y9XIUOkDGXkFnHPZ+t5aU6sdyeUx7A6klhAOzPkn/EUQX4WfDMYDqy0Oo3v6jwE85o36PDyItJyC61OI36ix9m1+eC29oQFO9R2SkQCl8cN7jyYOQR2zbM6jUhgaXwxDPoMKtVS2ykRCVhuj0GRx+Sp77cwe/MRq+OIBJTWDaoxYXAH6lYJ0bxIgNF/bSk5wwOpu2FidxUy/k58FDabndu6NLY6ifiRZXtS6fPecvYku7RDQ0QCk+GGjP0wsYcKGSJWOLgaJnSDxM3aoSEiAcntMUjKKuC6D1aokCFiga0JmfR9bznR+9OLd0hJYFAxQ0rGNL2TBpOugKwEq9P4vtQ9mK5krjxf/fykdB1Oz+OGD1cyM0YHy4lIgDENiFsEH/eEtHir04gELlcyTLkaNn9ldRIRkXJlmCbrD6TT933vAjMRsUZGbhGDJ6/l89X7AVDzocCgYoacmRMvCMvfgm/ugKJca/NUILa4Xzm3TiWrY4gfKnAbPPHdFl74cRuGYWJol4aI+DPzeE/cFW/DjFugINvaPCICnkL48UH45WmdoyEifu/EROnnq/dzx6S1ZOQWWZxIRNyGycjZ23n6+y14DJ0vGghUzJC/Z7i9XzPvg8Uv/1bYkDMTH0VISAgtIipbnUT81OerD3Dv5+sp1AFYIuKvDLf3vK7v7oZFL/1W2BAR37BmPEwb4F3w5HFbnUZEpNR5DAOPYfL091sYOXs7bk2YiviUr6IPcesna8jOL9K8iJ9TMUP+2omDvj/tA1u+tjpNxRQfBcDtFzWxNof4tcU7kxkwfhUZeXrjFhE/43FD7jGYchVs+97qNCJyOnsXw8eXQuZBbwFSRMRPuD0GrnwPt36yhq+iD1kdR0ROI3p/On3fW0Fcis4X9WcqZsjpGW44ttd7uOahdVanqbhcyZipu+lxToTVScTPxR7J4tr3V7AvNQe3oYKGiPgBww3J22FCdziy0eo0IvJ3ju2FiZfC/hWgsYiI+AG3x+BgWi59jh80LCK+LSEjjxs/XMXinUk6GNxPqZghp2YaELcQJl0OmVp58G/Z9vxK0xrBVseQAHA0M58bP1rFmr3H9MYtIhWbYcD+lTD1GnAlWZ1GRM5UQRZ8ORBiZ6o9rYhUaB7DZMvhTG78aBUJGXlWxxGRM5RX5OH+Lzbw1bqDVkeRMqBihpzaqvdhxq1Q6LI6iX+Ij8LhDKbrWbWsTiIBwFXg5j9To/lGW6BFpKIyTe9E6JcDNBYRqYg8RTDzXlg73uokIiL/iGGaRO1K5rZJa8jM00HfIhWNYcKzP2zj3YW7rY4ipUzFDPmzeU/Bry/ocM3SdGAVpuHm5k6NrE4iAcJtmDw9cyuvz9sJgKmVkSJSkawd750I9WjyQKTCMk345Rn49cXfvhcRqSC+W3+Y+77YQH6R5kVEKrK3F+7huR+2Ypimulf4CRUzxOvEP+g5j8HaCZZG8UuFLkjYQOdmNa1OIgFm/NK9DP92MyYqaIiIjzvxGrVwpHcCVK9ZIv5h5Tsw60HvQimdoyEiFcAHi+N48vstOkBYxE9MW3uQh76MwWOY+nftB1TMkOOTBSbMegA2TLU6jd+yxS2ibngQTv2rk3L23YbDPPbVJgwTDL1xi4gvMg3v16wHYcXbVqcRkdK26Uv46lYwisBwW51GRORPTqzaHjk7lrELdlkdR0RK2bxtifzf5HXkF3lwe7S4oiLTtGqgM45PHswcApumW53Gv8VHYXM4ua5tA6uTSACavfkID02PwQRtrRQR32J4vF9f3ead8BQR/7R7PnzWD9wFKmiIiE8xDBPThMe+2sSnq/ZbHUdEysjq+GPcNGE1rgK3ChoVmIoZgcw0AAO+/Q9s/c7qNP4vYQNmYS7Xt61vdRIJUL9sS+S+L9Zra6WI+A7DA6YHpt8Mu3+xOo2IlLVD6+DTflCUp4KGiPgEwzAxgYemxzB78xGr44hIGdt+NIubJqwmO18FjYpKxYxAVbwK8nbYMdvqNIHBcMP+ZbRtUNXqJBLAFu1I5p5Po1XQEBHrGR7ve+OXN8HeRVanEZHyciQGPu0LhTngUUFDRKxzorXU0Gkb+GVbotVxRKSc7El2MXDCajLzilTQqIBUzAhEJyYPpg/SKshyZtu7mKqVgqke5rQ6igSwZXtSuXPKOoo8Bh4dxCkiViguZAyE+Cir04hIeTu6Gab2gUKXdmiIiCUM08QwTO6ftoFftydZHUdEytneFBc3TVhNhgoaFY6KGYHG8ICnEKb1h72LrU4TeOKjsNnt3Nq5idVJJMCtjj/GHZPWUuA2tENDRMrX73dk7FtmdRoRsUrSNu8ZGoW5KmiISLk6cUbG0GkbWLQj2eo4ImKR+NQcBk1YTZZaTlUoKmYEEsMN7nz4/HrYv8LqNIEpZRdmTgpXXVDX6iQirD+Qzu2frD2+Q0MFDal4MjIyyM7OtjqGlIRheM/ImHEL7FtqdRoRsVriVvjsWijKV0FDRMqFYXrPyHjwyw0sVCFDJODFp+YwaKIOBa9IVMwIFIbH25P28+vg0Fqr0wS2uEWcWyfM6hQiAGw8lMGQz9djHu8XK+Lrli1bxtChQ2nXrh0XX3wxnTt3pkOHDjz22GOsXLnS6njyV0zD+zXjVu0OFZHfHN0En18L7gLvZxYRkTJimiaY8PCMGObHqrWUiHjFJbsYNHE1OYUeteKuAGymqdkrv2ea3lWQXw7SAZu+oM0tcONELntzCfuO5VqdRgSAvq3r8f5t7bDbbFZHETmlI0eO8OSTT5Kenk6fPn1o3749devWxePxkJyczIYNG/jll1+oVasWY8aMoUGDBlZHlj8yDfjuboj9weokIuKLmnaDwbPA5gC71tyJSNl46vstfB19yOoYIuKD2jSsxtf3X0yQw47DrrkRX6ViRqD47m7Y9r3VKQSgSj14fCeTl8fz8twdVqcRKXZHl8aMvrG11TFETumWW27h0Ucf5eKLL/7L2y1dupSPPvqIr7/+upySyRn7+QlY97HVKUTEl51/Pdz0KdhUzBCR0vfm/F18uCTO6hgi4sMuPSeCKf/phN0GNi329EkqZgSCeU/C2olWp5DfMR+OYa+nLleMU79w8S0P92rB471bWh1D5E/cbjdOp7PUbyvlZNmbsHi01SlEpCLoeA/0G2d1ChHxI6Zp8vnqA7w4O9bqKCJSAdzQtgHv3NLW6hhyGlry4u+WvalChg+y7VlA0xrBVscQ+ZP3F8cxdeU+VOcWX/NXxQm328327dvP6LZSzkwDYj5XIUNEztz6yRA1xuoUIuInPIbJz1uPMmqOChkicmZmbUrg5Z+2//0NxRL6tO+vTAM2Tdfkga+Kj8J50QN0blaDdfvSrU4jcpKXftpOjbBgrmtTH7v6RIqPiYqKYtSoUSQlJZ1UdHM6nWzdutXCZPInhgf2LICfHrM6iYhUNFGvQXhd6HCnWk6JyD/mNgyi96Uz7OvNGFqrJSIlMHnFPiKqhDD00rOsjiJ/oGKGPzLcsH8FzHnU6iRyOgdWYhoebuvcRMUM8TmmCcO/3Uz1sCC6nx2hg6/Ep4wdO5bevXtTtWpVdu3aRb9+/fjwww8ZOHCg1dHk9ww3JGyAb//jLWqIiJTU3P9BeASccw3YHVanEZEKxu0x2JPsYsjn6yn0GFbHEZEK6PVfdlKnSgg3tG2ghZ4+RMtc/I2nCI7Fwdd3eCcSxDcVZMORjXRpVsPqJCKn5DZMHvwyhvgUF24N/sWHHDp0iCeeeIK+ffuSnp5O7969eeutt/jmm2+sjiYneNyQcRC+HATufKvTiEhFZRrw3d2QEON9XREROUNuj0GKq4DBk9fiKtDrh4j8M6YJT363hVV7U3EbmhfxFSpm+BPDDXnp8MWN3sly8Wm2uIVEVgnCqX+F4qNyCz3c9Wk0OQUePHrjFh9Rs2ZN7HY79evXZ+/evQC0aNGCxMREi5MJ4N2F4c6DLwdCfobVaUSkonMXwFe3Qm6qChoickYMw8RtmNz9aTSprkKr44hIBec2TB6cHkNCep4WevoITaP6C8MATyFM6w9ZR6xOI2ciPgqbI4i+F9a3OonIaR1Oz+O+L9YDNh0KLj6hZcuWvPvuuwDUqlWLpUuXsnbtWkJCQixOJgDYbPDN/8GxvVYnERF/kZMC0weB6fF+5hER+Qt2u43Hvt7EjqNa4CkipSMrz81dU6MpcBt4dACP5VTM8Bd2u3cbdqIOP60wEtZjFuVxQ7sGVicR+Utr96Xx/Kxt2GzqESnWe+KJJ1i4cCEpKSk88sgjPPjgg/znP//hnnvusTqaAMx/FvYutjqFiPibo5vhh/u9n3lERP7C27/u5pdt2rErIqUrPjWHh76MQbMi1rOZWmpb8ZkGrHgHFo2yOomUkHn7d2TW707blxdZHUXkb718/QXc3qWJDr4Sn5KUlERubi7NmjWzOkpgMzyweQb8+JDVSUTEn102Ano84d0FJiLyOx7D5NftiTzwZQya5RKRsnJv92Y81/d8q2MENC1tqeg8bji4BpaMtjqJ/AO2vYupVimIqqFOq6OI/K1Rc7YTfSBNfSLFUkeOHOGWW24hNjYWgE8//ZRnn32WlJQUi5MFMI8bjmyEn4ZZnURE/F3Uq7B7nreAKiJynNtjEJfsYtjXm1XIEJEyNWn5PmbGHFa7KQupmFGRGR7IT4dv79SAvqKKX4LN7uDmTo2sTiLyt9yGydAvNpCcXaCChlhm1KhRNG/enCZNmgAwZMgQWrRowcsvv2xxsgBluL0H8351q/fsLhGRsmSa8P0QOBYHniKr04iID/AYBq4CN3d/Gk1ekeZFRKTsPTNzK9uOZGpexCIqZlR03/wfuJKtTiH/VPIOzNxjXNOqntVJRM5Iem4Rd02Nxm2YGFr2JBbYuHEjo0aNIjw8HICaNWvy3HPPsXbtWouTBSgTmHGLxiIiUn4KXd4Dwd0F3na7IhLQbNgYOm0DCRl5VkcRkQBR4Da497P1ZOe7tUPDAipmVGQLR8KBVVankH8rbiHnR4ZZnULkjO1Kyuap77dgV79qsYDT6SQtLe2kyzIzMwkNDbUoUYBb8Ky3xZSISHlK3w8/Pgg2fZwVCWSmafL2wt2siU/7+xuLiJSilOwCHp6xUcd4WUCjv4rIcMPOubDqPauTSCmwxUcREhxMk1oqaEjF8eOmI+oTKZa4+uqreeSRR1i9ejX79+9n9erVPProo1x11VVWRwsshht2/QxrJ1qdREQC1fYfYd0narcrEqDcHoO1+9L4cEmc1VFEJECtiEvloyV71bWinNlM88x/4+np6cyaNYvVq1dz9OhRHA4H9erVo3v37vTp04fq1auXYVQBvJMHWUdgQjfIz7Q6jZSGqg3gf9v5eNleXv15p9VpRM5Y5WAH8x7rQf1qoTgdqo1L+cjLy2PUqFH8/PPPFBYWEhwczA033MDTTz9NWJiKwuXCcHvbSo2/BPLSrU4jIoHMGQJDoqD2OeBwWp1GAkhaWhpr164lMTERu91O/fr1ufjii4vbYErZ8hgmWXlF9H5nGSnZBVbHEZEA5rDb+Pb+i7mwYTXNi5STMypmeDwePvzwQz777DNatWpFu3btiIyMxOPxkJyczIYNG9izZw+DBw9m6NChOJ0aSJYJ0wSjCD7pBYlbrU4jpch8ZCNxRRFc+fYyq6OIlEirBlWZ9WBXvWlLuSsqKiIzM5NatWph097e8mV4YMpVcDja6iQiIlDrLBi60lvYUNspKWPx8fG89957LFiwgIiICCIjI3G73SQnJ5ORkUHv3r155JFHaNKkidVR/Zphmvzf5HWsiEu1OoqICPWqhTL/sR6Ehzix2/XZtKydUTHj9ttvp3Pnztx6663UqVPnlLdJTEzkiy++ICYmhhkzZpR6UDnux//Cxi+sTiGlrc+buNvdSYvnF1qdRKTE7unWjOf7nW91DPFzP/30E/369WPWrFmnvc0NN9xQbnkC2q8vwMp3rU4hIvKb1jfBgElWpxA/9+mnn/LNN99w44030q9fP+rVq3fS9YcOHeLnn3/m+++/55ZbbuHuu++2KKl/M0yTj5bsZeyCXVZHEREpdvl5dZh8ZyerYwSEMypmHDp0iEaNGp3RHZbktlIChge2fA2zHrA6iZSFc/vCLdO5acIqoverZYdULDYbfPqfTnRtUVs7NKTM9OvXj59++olevXqd8nqbzcaiRYvKOVWAMdywbxlM6+/dLSoi4kuu/xDa3Ap2h9VJxE9NnDiRu+++m6CgoL+8XWFhIZMnT+aBB/TZvbS5PQZbDmdy08TVOrtPRHzOc33P4+6uzbQ7o4yV6MyM30tLS6NmzZqlnUdOxfBATjJ80AkKsq1OI2UhpCrmUwf4fuMRhn+72eo0IiVWq3IwC4b1oHpYMA69cYsFsrOzqVKlitUx/JdhQH4GfNgJctTSQUR8UFAYPLASqjcGu9oei/gbwzTJK/Rw5bilHMnMtzqOiMifBDls/PhQN86pG66FnmWoRL9Zt9vN22+/TYcOHejVqxeHDh1iwIABJCcnl1U+Ae/qoh8fUiHDnxVkwdFNXNxcBUKpmI7lFPLIVxvR0QVS1jp37nzKyy+77LJyThJg7HaY/bAKGSLiu4pyYeZ9OjdDysWaNWv48ccfmTVrFrNmzeLbb79l9OjRVsfya3abjRdnx6qQISI+q8hjMuzrTVbH8HslWrLy/vvvs2bNGt59912GDRtGrVq1iIyM5JVXXuHdd9U7uUwYbtj8NcSpdYa/s8UtpH631tjt3gWwIhXNyrhjTF6xj3u0rVJK2YEDB3jhhRcwTROXy8X//d//nXS9y+WiatWqFqULAIYbYmfBzp+sTiIi8tcOR8OqD+Di/3qLsCJlYPTo0Xz11VdUrlwZAI/HQ05ODt27d7c4mf9yewyW70nluw2HrY4iIvKXdiVl8/bCPQzvfQ42rfYsEyUqZsyZM4cZM2ZQt25dbDYbYWFhvPbaa1x55ZVllS+wGR7IS4f5z1qdRMpDfBS2S5+kb+t6zNl81Oo0Iv/IWwt20adVPSKrhardlJSaJk2a0Lt3b9LT04mJifnT7ozg4ODTnqUh/5JhQH4m/Dzc6iQiImdmySve8+hqNFG7KSkT8+bNY9q0aeTl5TF79mxeffVVXn/9dXJzc62O5pcM06TAbfD0zC1WRxEROSMTlu6lT+tIWtatonZTZaBEo7vc3NziczJOHLURGhqKXateyobd4W3pkJ9hdRIpD4ejMYvyuaFtAxUzpMLKLzJ44rvNTB9ykdVRxM/cfvvtADRs2JDrr78ewzBwOBykpqZSo0YNHA4d+FomTrSXyku3OomIyJlx58PMIXDvQquTiJ/Ky8ujbdu2pKSkEBsbi81m47///S99+vSxOppfsttsvPDjNpKyCqyOIiJyRjyGt93U3Ee0Y68slKgK0bZtWz744AOA4q0yX3zxBa1bty79ZIHOcMOWb2HXPKuTSHnxFMKBlbRvpFYpUrGt2nuMb6IP4TFMq6OIHzr33HPp1asXsbGxAHzyySf07t2bffv2WZzMD50Yi+yca3USEZGSSdgAK99T71YpE5GRkRw7doyIiAgSExMpKioiNDQUl8tldTS/4/YYLNmZzPcxCVZHEREpkd1JLt7+dXfxZgApPTazBL/VQ4cOceedd+J2uzl27BhNmjQhJyeHqVOn0rx587LMGVgMw7sb44MOkJtmdRopTxf/F/PKl7jwpYVk57utTiPyj1Wt5CRq+GVUrxSk8zOkVA0ePJhOnTrx4IMP4nQ6cbvdTJgwgZiYGKZMmWJ1PP9heLxjkfc7aFeGiFRMzhB4YBXUaKp2U1KqXn/9dVasWMFnn33G888/T1hYGCEhIWzfvp2ZM2daHc9vGKZJboGHXm9FkZytXRkiUvE47DZ+fKgr50aq3VRpKlExA7xbKpcsWcKRI0eIjIykZ8+ehIeHl1W+wPXN/8H2H61OIeWtbit4YCUvz9nO5JVaZSwV2zWtIhl/RwerY4if6dixI9HR0ScdpubxeLjooouIjo62MJkfmnEr7PrZ6hQiIv9cg/Zw7yKwaQJBSk9RURGfffYZN998M7m5uYwYMQKXy8Xzzz/PBRdcYHU8v/K/bzYxU7syRKQCO7tOOD8/2p0gFTNKTYmXqFSqVOmkXpBut5vt27dz/vnnl2qwgOVxeycOVMgITMmxmHnpXNM6UsUMqfDmbUvk1+2JXNayjlYhSKkJDw9n3759J+0IPXToEFWrqkVfqfG4Yc98FTJEpOJLiIF1n0Cne73nEYqUgqCgIO69914AqlSpwqRJkyxO5H/cHoP1B9JVyBCRCm9PsosJS/fyYM8WONS1olSUqJgRFRXFqFGjSEpKOqnnl9PpZOvWraUeLuAYBhTlwNz/WZ1ErGKaELeIC86+1uokIqVixA/bWDK8Jw677aSV9CL/1I033sgDDzzAvffeS/369Tly5AiTJ0+mf//+VkfzH6YHfnna6hQiIqVjySvQehCEVgO7FlfIv/fMM8+c9rrXXnutHJP4L5vNxnOztlkdQ0SkVHy4JI6bOjQiokqIChqloETFjLFjx9K7d2+qVq3Krl276NevHx9++CEDBw4sq3yBxW6Hn4dDTorVScRCtvglhLYaQIMaoSSk51sdR+RfSc4u4OWftjNmwIVWRxE/8d///he73c6ECRNISUmhXr169O/fv3iFpPxLpgHL3oCMg1YnEREpHfmZsOBZuGG81UnET6Wnp7NmzRoGDBhgdRS/4DFMJi2PJy5ZB6qLiH/ILzJ4cfY2Jg7uaHUUv1CiMzPatGnDhg0bOHz4MM8//zxffPEFcXFxDBs2jDlz5pRlTv/nccPRjTDpCquTiNWqNYRhsUyI2suYX3ZanUakVPz4UFcuqF9V7abkX5s0aRK33XYbYWFhVkfxP4YHshLgg47g1kGbIuJHbDa4ZyHUawsOHQYupW/VqlVMnz6dDz74wOooFZphmKTlFHLpm0vIKfRYHUdEpFR9cU9nLm5eS/Mi/1KJfns1a9bEbrdTv3599u7dC0CLFi1ITEwsk3ABxeFUSwfxyjyMmb6fy86tY3USkVIzak6s3rClVHz88ceEhIRYHcM/2R3w0zAVMkTE/5im9/VNbaakjFxyySWsWbPG6hgVnt1uY9ScWBUyRMQvPT9rG2e8o0BOq0SjuZYtW/Luu+8CUKtWLZYuXcratWs1qfBvedywbSYcXm91EvERtriFnFUr2OoYPs+WmUDQigkE/zSC4J9fxLl+OhR4tyPbE7cTtPgtguc8Q9CiN7Ef2XJG9+nY8gPODTNOvmzvMoLnPk/wzy9i37fqtysMD0GL38KWnVxqz8lfxRzMYM7mI7g9htVRpILr3r07n3zyCcnJ+ndXqjxu74HfcQutTiIiUjYSt0D0JDDcVicRP+N2u5k1axY1a9a0OkqF5vYYrIk/xpwtR62OIiJSJvYfy2Xi0ng8hkoa/0aJ9tg+8cQTPPLIIwwaNIhHHnmEBx98EMMwePLJJ8sqX4AwYeFIq0OIL4mPwtnpXto3rkHMwXSr0/gmTyFBqz7B0/QiPJfcC0UFODdMxxnzFZ7zrsa5ZirutgMwGnfClnaAoNWfUBQUhhnR4tT3V5CDc+sPOA7F4Gnc6bfLi/JxbJ1N0WX/AyBoyTgKG3UAZwiOuKUYdc/DrKJdNGdizLydXHVBpNUxpILbsGEDc+fOLV5c8Xs7duywIJGfMD0w7ymrU4iIlK3Fr0Drm7yHgdu0S0P+mXPPPReb7eQDXB0OByNGjLAokX+w2Ww8r0O/RcTPfbgkjps6NqR2uA4D/6dKVMw466yzmDt3LgANGjRgyZIl5OTk0KxZszIJFxAMD6z5CDIOWJ1EfMm+5ZimwS2dG6mYcRq23AzMavXxnNvb+2E0xInR7GKc66djHt6EWasZRtOLADBrN8do1AHHvlW4T1XMcBcQvHAMRsO2eOr/4aDqkz7onqie2yAvA/uh9RT1fKwsnp5fSsjIY+KyvTzYs4XetOUfe+ONN6yO4H8MA1aM06HfIuL/8jNgwfNwvc41kH/u888/P+l7u91OkyZNiIiIsChRxecxTD5dtY89OvRbRPxcXpGHkbNjGX9HB6ujVFhnVMzYsGEDHTp0IDo6+pTXp6am0qlTp1NeJ3/BNKEgG5a/ZXUS8TX5GXB0K5c0P9vqJD7LrFKHokvuO+kye8IWzOoNwTQwnX9s02XDlp106juzOym8/EkIrfKnFlM4g3G36U/Q6kmADXe7m8EZjHPDDDzn9wWH2oGVxPiovdzWuTE1woKxq6Ah/0Dnzp1PeXlaWlo5J/ETpul9z1n1vtVJRETKx+bp0O0xqNHMe1aQSAl17twZj8dDTEwMKSkp1KtXT4WMfym/yMP7i+OsjiEiUi7mbUtk6+EMzqtXVWeL/gNnVMwYMmQIMTExDB48+JTX22w2tXb4p5aMhvxMq1OID7LF/Ur9rudjt3sXzcpfME0cO+ZhT4ylqPtD4C4gaMVH2BM2Y9RrhS39IPbDGzGDK5/65+0OCK1y2rs3ml1CYbNLir+3Je0C04NRqxnOtZ9hy0nBrNkM94U36EPx38gt9DDml528ObCN1VGkgtqyZQtvvPEGSUlJGMdfHIuKikhLS2PbNrUm+EeiXoXCHKtTiIiUD8MDv74At0y3OolUUHv37mXo0KEcPXqU6tWrk56eTvPmzfnkk0+IjFRL1ZIyDJOPovaSkVtkdRQRkXLz6s87mXHfRVbHqJDOqPwTExMDwM6dO0/5pULGP2B4IH0frJ9qdRLxVfFR2B1BXHW+BsR/qSgf57pPcRzaQFH3hzCr1ces1Qx3h9tx7JxP8M8v4tizBE+TzhBc6d8/nseNM3YO7gtvwLFrIQRXouiyx7HlpGI/sPbf338A+H7DYXYmZuFWlU7+gZdeeomIiAi6detGs2bNuOOOO3A4HDz++ONWR6t4DA9kHoYNn1qdRESkfO2cC4fXg0eHgUvJjRw5kksuuYT169ezYsUK1q1bR5s2bRg5cqTV0SocwzRJzy1kyop9VkcRESlXq+OPsXxPCm6P5kVK6oyKGUeOHPnbLykhuwPmPwuGBtByGofXYboL6N++gdVJfJcrlaCot7EVFVDYcxhmtfreywtzMKtGUnT5kxT2G437orux5WVgVm/0rx/SsWcJRoO2EFYTe3YiRvVGYLNhVG+IPfPov77/QGCYMHJ2LE67tlNKye3Zs4fXXnuN22+/HY/Hw1133cXbb7/NnDlzrI5W8dgdsGgkeLQSUkQC0K/Pg6NER0iKABAbG8uIESMIDQ0FoHLlyowYMYL169dbnKzisQFv/7qbvCKP1VFERMrdmHk71WbqHzij0VuvXr2w2WyYpnnS5ScuU5upEvK44dBa2DXP6iTiy9wFcGAVHRpfbHUS31SYS/CK8RgRLXC3v/mkg7ptrlSCVoyn6NKHMatEYj+yxduCquewf/eYOWnYj2yhqOejABiVa2NP24/RpDP29IMYkef/u/sPIGvi04jalUy3FrX15i0lUrVqVUJDQ2nUqBF79uwBoG3btiQkJFicrIIx3JCyC7Z9b3USERFrHFgFe36F5j3BEWR1GqlA6tSpw759+2jZsmXxZSfOzpAz5zFMjmTk8VX0IaujiIhYIvZIFrM3H6FPq0jNi5TAGRUzFi1aVNY5AovdDvOfsTqFVAC2vYup0awHlYOd5BRqF8/vOQ6sw5aXjj1hM8EJm0+6rvC6MbhbX0fQmqneXRrhdSi66B7Mqt6WXbbUeIJWfUzhFU9BWI0zfkznlh9wt74O7N6XTk/LKwha9znBc5/HqHM2nmYqPJXEuF9307NlHatjSAXTvHlzZsyYwa233kpYWBg7duwgODgYm00HypeI3eldlfyHhSoiIgFl4YswdIXVKaSC6devH/fddx/33HMPTZo0ISkpiSlTptCxY0dmzZpVfLsbbrjBsowVgcNu4/VfduI2NBYRkcA1dv4u+rZWMbwkbOYft1ucge3bt3P48GF69uxJdnY2tWrVKots/slTBNtnw/d3W51EKoLIC2HockbOjuXTVfutTiNS6qb8pxM9ztbuDDlzMTExPPDAA3z77besXr2a0aNH43A4uPXWW3nqqaesjlcxnNgh+mkfq5OIiFjvxo+h1QC1nJIz1qtXr7+9jc1m06LQv+A2DHYnuuj7/nKtqxCRgDfqugu4/aLGasV9hkpUzDh27BgPPfQQ27ZtIygoiO+++46BAwcyZcoU2rVrV5Y5/cuEbpC41eoUUhHYbJhPHiA60c2giWusTiNS6lo1qMpPD3e3OoZUMAUFBQQFBWG329m8eTMul4uuXbtaHatimXwlHFpndQoREevVaAoPx3jPERKRcvOfKeuI2p1idQwREctFhIew8uleBDtVzDgTJfotvfrqq5xzzjlER0fjdDo566yzuO+++3jjjTfKKp9/8bghbpEKGXLmTBP2LqJVvXCrk4iUiW0JWSzckYTbY1gdRSqIG264gZCQEOzHV620adOGrl27ntEqScE7FjmwSoUMEZET0vfD1u+8O+hFztChQ4dYv3490dHRREdHs2rVKj799FOrY1UIHsNkx9EsFTJERI5LcRUwY91BzYucoRLtpV2zZg0LFy6kUqVKxb2p7733XqZMmVIm4fyOwwkrxlmdQioYW3wUlS64kXpVQzmalW91HJFS9+7CPVxxXl2rY4gPO3jwIOPHjwcgLi6OZ545+dwpl8tFfr5eH8+IwwnL3rQ6hYiIb1kxDtrcbHUKqSAmTpzI22+/XTwnYpomNpuN8847j//85z/WhqsAHHYb7y/eY3UMERGf8snyeO64qInVMSqEEu3MCAoKKp4sONGdKicnh8qVK5d+Mn9juCEhBvbrgDkpofgl2Gw27rhYL2rin7YmZLJiT4pWIchpNW7cmBo1apz2+po1a/L222+XY6IKyvB4d4fuXWx1EhER35KyE3bN0+4MOSPTp0/nvffeY/z48dx0002sWbOGPn36cMkll1gdzecZhsmBYzn8si3R6igiIj7lcHoeP25K0LzIGSjRzoxevXrxxBNP8Nxzz2Gz2Th27BijR4/m0ksvLat8/sPuhOVvWZ1CKqKMg5gZB7n83Dq8OX+X1WlEysR7i+PodnaE1THEhz355JMANGrUiAcffNDiNBWU3aFdGSIip7N8LLS8xuoUUgFkZWXRu3dvEhMTee+996hevTojRoxg4MCBDB8+3Op4Ps1ut/Hhkr0YOvRbRORPxkftpX/7hlbH8Hkl2pnx+OOPExYWxtVXX01WVhbdunUjLy9Pb9h/xzAgLR52zbU6iVRQtriFnFUrxOoYImVm3b40NhxIx21oFYL8tQcffJDk5OST+lSf+JK/cGIssmOO1UlERHzT4fXeM4U8bquTiI+rU6cOLpeLunXrcvjwYUzTpGbNmmRmZlodzaeZpklyVj4/bDxsdRQREZ+0J9nFwu06U/TvlGhnRuXKlXnvvfdIS0vj8OHDREZGUqdOnbLK5j/sdlg21nuYs8g/ER9FUMe7adOwGpsPa5As/un9xXv49K7OVscQH/fFF18wZswYPB7PSZfbbDZ27NhhUaoKoHgsooGxiMhpLXsTBv9gdQrxcZ06deKRRx7hnXfe4fzzz2fcuHGEhIRQt67OgPsrJjBh6V6KPJoXERE5nQ+WxHHF+Xo/+Ss20/z7GfYzWe3YqVOnUgnkd0wTcpLh7QvUg1X+uUo1MJ+M5+vowzw9c6vVaUTKhM0GS5+4jIY1KmE/fqCiyB9dccUVDBkyhAEDBuB0lmhNRuAyTXAlwTutNBYREfk7Q1dAnfO9rflETsHlcvHWW2/x8MMPk5qayqOPPorL5WLMmDF07drV6ng+KzOviIteXURekefvbywiEsC+uu8iOjapgdNRooZKAeOMihnnnnuu98a/m1yqVq0a2dnZGIZB9erVWb16ddmlrMhMAxY8B6s/tDqJVHDm0BUcDm5O9zeirI4iUmbu6tqU5/udr2KGnFb79u1Zv349drsGdmfMNGD+CFjzkdVJRER83wU3wk2fWp1CxK94DJP3F+/hnYV7rI4iIuLzepxdm8/v6WJ1DJ91RjMBO3fuZOfOnQwfPpzrrruOdevWsWbNGqKjo7npppsYOHBgWeesuApzYMNnVqcQP2CLW0iDqsFWxxApU9+tP0yhW21w5PQ6d+7M2rVrrY5RsbgLYNOXVqcQEakYdszx7mZTi2A5DbfbzXvvvcfll1/OhRdeyFVXXcXkyZOtjuXTTNPkyzUHrY4hIlIhLI9LZf+xHAxDY5FTKVF/hsmTJ7N48WJCQ0MBCAsLY8SIEfTo0YPHH3+8TAJWaIYH1oyHQpfVScQfxEdh7zaM3ufXYcH2ZKvTiJSJ7AI3364/zK2dG2lLpZxS3bp1uf/+++nSpQu1a9c+6brXXnvNolQ+zOOGTdMhX+ctiYicEcMN6z6Gns+CTa2m5M/eeOMNoqKiuP/++6lXrx6HDh1iypQpFBQU8OCDD1odz+e4PQY/b0skxVVgdRQRkQrBNGHqyv28eO35VkfxSSWaKTIMg2PHjp102eHDh3E4NMg7rehPrE4g/uLgakx3AQM6NLI6iUiZ+nz1fhUy5LQKCwvp27fvnwoZchoOp8YiIiIlteFTb4s+kVOYPXs2kyZNYtCgQXTv3p3bbruNjz/+mBkzZlgdzSc5HXY+Xbnf6hgiIhXK9xsOU1CksciplGhnxvXXX88999zDvffeW7wCYdKkSdxyyy1lla/i8rgh7ldwaQW9lBJ3ARxcQ8fGna1OIlKm9iS7WBN/jI5Na+DUuQjyB9p9UQKGGw6uheQdVicREalYclJh20xo1R8cQVanER9jmiYREREnXdawYUPO4DjSgOMxTHYnZRNzMN3qKCIiFYqrwM036w9xe5fGWuz5ByUqZjzxxBOEhYUxfvx4kpKSqFevHoMGDWLIkCFlla/icjgh5nOrU4ifse1dTM2m3QgLtpNbqAqt+K+pK/dxUfNaVscQH1RYWMicOXNISkrCMLyvg0VFRezevZvx48dbnM7H2J0QPcnqFCIiFdP6ydDmZqtTiA+6/fbbee6553jxxRepWrUqBQUFvP766zpL9BTsNu+uaxERKbkv1x7gzkuaWh3D59hMLR8oG7lpMPZs76pIkdJSry3cv5TnZ23lCx2gJn7MYbex6ule1KkSgs1mszqO+JDhw4ezfPlyatSoQVFREWFhYezZs4cbbriBMWPGWB3Pt+Sle8ciniKrk4iIVEwPrYPaZ4NNKyLlN5deeilJSUnY7XaqVatGdnY2brf3c//vx607dmhnZG6hm06jF5JT6LE6iohIhTTzgUto06gaDnWtKFainRlaDXmGPG7YOE2FDCl9iVsw8zPpd2F9FTPEr3kMk89W7efx3i1xqJYhv7N8+XJmzJhBWloaM2bM4K233mLKlCls2bLF6mi+xXDD+qkqZIiI/BvrPoY+b1qdQnzMm2/q/xNnwu0x+H5DggoZIiL/wuerD/BOk7ZWx/ApJSpmPPvss6ddDSm/43DCpmlWpxB/ZBqwN4pWza+yOolImftm/SGG925pdQzxMYZh0Lx5c6pXr1684vH2229nypQpFifzMXYnxHxmdQoRkYptyzdw1avgDLE6ifiQzp11huGZcDrszFinBXgiIv/GvG1HeTn/AqqE6gyvE0q0R+XEasjRo0fTtm1b5syZw5NPPkl+fn5Z5at4DA8kxEDKLquTiJ+yxS8hLDSYulX1oUr8W6qrkJV7U3EbOh9GfhMZGcmhQ4eoWbMmx44dIzc3F9M0ycnJsTqa7zA8cHANpO+3OomISMVWkAU75miXm0gJGab34O/tR7OsjiIiUqEVuA1+3HQEt0fzIieUqJhxYjVk8+bNT1oNuX79+jIJVyHZ7FoJKWUrPgqbzc7tXRpbnUSkzM2MScCp3pDyO9deey233XYbSUlJ9OzZkwceeIBHHnmEVq1aWR3Nd9jssHmG1SlERPzDlq/AodWQIiVhmvDdhsNWxxAR8Qs/bEzA6dC8yAkl+k1oNeQZ8BTCtplWpxB/lr4PM/MwV5xX1+okImVufmwi+UXqsyu/ue+++3j22WepUqUKzz//PE2bNqVKlSq8+uqrVkfzHYYHtv9odQoREf+wdwnkZVidQqRCsdlg9qYjVscQEfELGw6kczQjz+oYPqNExQythvwbniKIneXdjixShmxxCzm7dqjVMUTKXG6hhwWxidpSKSe55pprCAsLIzw8nFGjRvHWW2/RqFEjq2P5Bo8b9syHvHSrk4iI+AfDDVu+VqspOUlqaioAhYWFTJ8+nXnz5lmcyHd4DIN1+9JIzFI7chGR0vJdzGG14D6uRMUMrYb8G44g2PiF1SkkEMRHERQcQqv6Va1OIlLmfth4RFsqRc6Uw+mddBMRkdKz9Ru1mpJi3377LVdccQUAb775Jh9++CGvvPIKH330kcXJfIPdZmNmTILVMURE/MqsjUfUgvs4m2maptUh/IJpQtYReOcC799FylJYTXhyH9PXHuDZH7ZZnUakTDntNjY8fyXVKmkSQeRvFebAG83AXWB1EhER//LYVqjWyNs/RwLa9ddfz5NPPslFF11E586d+eSTT4iIiGDw4MFERUVZHc9yRW6DDqN/JSvfbXUUERG/Mu/R7rSMrII9wMciKumUFtPj3ZWhQoaUh9w0zKRYuraobXUSkTLnNkxmbUxQqymRv+Mpgm3fq5AhIlIWNn3p/cwnAe/o0aN07dqVzZs343Q6ad++PY0aNSIrS+2m3R6DhTuSVMgQESkD3204DJp2VjGj1NidsHOu1SkkgNjiFtKomlaqS2D4cVOCWk1JMY/nt8mkpUuXsmXLFgvT+BBHEGz5xuoUIiL+acs33s98EvCqVavGgQMHmD9/Pp07dwZgzZo1REREWJzMek6HnR82qsWUiEhZmL35iNURfIJmhkpLdhIkajJFylF8FHZnML3OrWN1EpEyF3Mwg4T0PKtjiA9YvHgx3bt3B+Cjjz7i4YcfZvDgwXzzjSbxyU2DAyutTiEi4p/S4iFpu3biC3fddRfXXnstM2bM4N5772XDhg3cf//93H///VZHs1xeoYelu1OsjiEi4pdSsgtYfyAdjxHYY5ESFzO0GvIUPEWw8yerU0igObga01PETR0aWp1EpFzM3XpUraaE8ePH89hjj2EYBtOmTeP999/nyy+/5JNPPrE6mrU8Rd4doqb+jYiIlJkds9VqSrjtttuYO3cu8+fPp02bNjRr1owvv/yS/v37Wx3NUm6PwdLdyRS4NRYRESkr82MTCewTM0pYzNBqyNNwBMHuX6xOIYGmKA8OraVjk+pWJxEpF0t2JqvVlHDw4EEGDRrEzp07ycvLo2vXrrRq1YrU1FSro1nLEQS751mdQkTEv+3+Ra2mAlhiYiIAR44cweFwYJomR44cIT8/n5o1a3LkSGC3/3DYbfy6PcnqGCIifm3RjiTs9sAuZ5RoJHaq1ZC1atVi2LBhDBo0qKwy+j53AexbZnUKCUC2uEXU7nURoU47+VoBI34uen8aOQVuKodoEiGQVapUiWPHjrF48WI6dOiA0+lk586d1KhRw+po1vIUwt4lVqcQEfFvRzeBKwXCdTZCIOrTpw8xMTH06tULm+3kiSTTNLHZbOzYscOidNYzTViySy2mRETK0v5juexPzaFp7cpWR7FMiWaETqyG3L59e/FqSKfTGdirIQ037F0M7nyrk0ggio/CdsWL9O/QkOlrD1qdRqRMuQ2TqN0pXHV+Xe3QCGADBgzghhtuICsri/fee49t27Zx7733cvfdd1sdzTqGG/ZGQVGu1UlERPybacLOOdBusHdHnASUuXPnArBo0SKLk/gewzTZeCiDtJxCq6OIiPi9X7Ylcm/3ZgE7L1KiYoZWQ56CzQG7frY6hQSqo5swC7K59sJ6KmZIQFi8I4m+retZHUMs9PDDD9OpUydCQ0Np27YtR48e5aWXXqJ3795WR7OOza6xiIhIedk1DzoGcAE9gNWr5x2DNmjQwOIkvsc0YUFsotUxREQCwsIdSQzteZbVMSxTomKGVkOegs0Gu+dbnUIClWlAfBStm15pdRKRchG1KwXDNLHbArtHZKC76KKLiv9er1694smFgGWz6+wuEZHysm8ZFOVDUKjVSaScnXvuuX9qL/VHgdpmymG3sXCHzssQESkPMQfTycoromqlwNwlWqJihlZD/oFpQOJWcOlNW6xj27uEyuf2JSI8mBSXtvWKfzuWU8i2hExaN6j2tx8mxb+0b9+emJiYv5xICMgJBNOApFjIPmp1EhGRwODO97YZPqe3DgMPMJ9//rnVEXzWobRc9qbkWB1DRCQgGCb8uiOJ69rUJygAW02VePSl1ZC/Yxqw8yerU0igi1+CzWbnti5NeHfRHqvTiJS5X7cncUH9ajhUywgoH3/8MQCfffaZClm/p7GIiEj52/UztLzG6hRSzjp37nzS95mZmRw6dIjzzz8ft9tNcHCwRcmsVeQxWLBdLaZERMrTwu1JDGjf0OoYljijYoZWQ56G3Qm71NZBLJYWj5l1lCvPr6tihgSExTuTebx3S6tjSDnr2LEjAF26dLE4iY+xOyE+yuoUIiKBZd9Sb7thCUg5OTm88MILzJ07l9DQUGbOnMldd93F1KlTad68udXxyl2Qw86KPcesjiEiElBWxwfu6+4ZFTO0GvI0spMgcYvVKUSwxS3knFaDrI4hUi5ij2SR6iqgdniI1VGkHPXq1etvxyCLFi0qpzQ+xF0ACTFWpxARCSwZByHrCFStb3USscAbb7xBbm4u8+bNY9CgQTRq1IjLLruMV155hcmTJ1sdr9wZhsn6/WlWxxARCSgZuUXsScrm7LpVrI5S7s6omKHVkKfgKYK4BVanEPGKX0Jw+8GcG1mFnYnZVqcRKXMr4lLp17oezgDsDxmoHn74Yasj+B7DgENrwaPzkkREyl38Emg9CByBefhmIFuyZAlz5syhWjXvGW5BQUE8/fTT9OjRw+po5c40TXYkZpFd4LY6iohIwFkRl0rT2pUD7tyMMypmaDXkKdidcCja6hQiXvuWAnB7lyY8/+M2i8OIlL31+9O5ro1WQwaSG2+88U+XpaWlUbNmTQvS+Aqj+PVfRETK2f4V0OY2q1OIBQzDKD4fwzTNP10WSNyGyYo9qVbHEBEJSGvij3FX12ZWxyh3Z1TM0GrIU7DZ4PA6q1OIeOWkYibvoPvZja1OIlIu1u9Pw662hwHJ7Xbz/vvvM23aNDweD3PmzOGxxx5jwoQJREREWB2vfNmd3sk0EREpf/tX6NyMAHXRRRfx0ksv8cILLxQv+nznnXf+dEB4IAhy2FkTrxZTIiJWWLsvMF9/z6iYodWQp1CYAyk7rU4hUswWt5DGne+3OoZIudidlE1OgZvKIWf0NiZ+5P3332fNmjW8++67DBs2jFq1ahEZGcno0aN59913rY5XvnRehoiIdXRuRsB65plneOCBB+jUqRMej4d27drRtGlTJkyYYHW0cqfzMkRErBOo52aUqKmW2+3m7bffpkOHDvTq1YtDhw4xYMAAUlJSyiqfbzINOBwNx7eUiviE+CXYncH0bBlgK5MlIBkmbDiQjmHodTjQzJkzh/fee49u3bphs9kICwvjtddeY82aNVZHK186L0NExHrxS7xnKUpAqVWrFl9//TXTp09n3LhxTJkyhe+++466detaHa1c6bwMERHrrYhLpchjWB2jXJWomPH71ZBBQUEnrYYMKIYBBwNs0kR834HVmB43Azs0tDqJSLlYtz8NAxUzAk1ubm7xztATfapDQ0Ox2wPr0DMwIF7nZYiIWGrfcm/LPwkoWVlZDB8+nMqVK3PNNdewbNkynn76aXJycqyOVq7chslynZchImKp1XuPBdwB4CV6tloNeZzDqfMyxPcU5cLhdXRuWsPqJCLlYv3+NJwBN4Etbdu25YMPPgAo7lP9xRdf0Lp1aytjlT+7Ew4F2PhLRMTXHFyjczMC0MiRI8nMzKR69eoA9OvXj+zsbF599VVrg5WzIIedDQfSrY4hIhLQogOw1V+JlpFoNeTvHN5gdQKRP7HtXUTEpZ0JdtopdAfWNjMJPJsOZeA2DBU0AsyIESO48847+eGHH8jJyaFPnz7k5OQwdepUq6OVv6ObrU4gIhLY0vdBQTaEBFav6kC3atUqFi1aROXKlQE466yzGDt2LFdeeaXFycrflsMZVkcQEQlo6blFJGXlU7dqqNVRyk2JZoC0GvK4Y3shP8PqFCJ/Fh+FzeGkf9sGVicRKXP5RQY7jmYXF9clMDRq1Ii5c+fyzDPPMGzYMB588EHmzp1L8+bNrY5WvtL3eyfQRETEWkc26SzFAGMYBh6P56TLTNPE4XBYlMga6TmFJGUVWB1DRCTgbTqUgSeAzhMtUTFjxIgRzJkzhx49ehSvhvz88895+umnyyqf7/EUwYFVVqcQObUjGzELXFzbtr7VSUTKxZr4Y7gD6E1boLCwkAkTJtCqVSvuvfdejh07xqRJkzCMANqN5nHD4WirU4iICMCRGDB0AHIg6dGjB0899RQHDx6kqKiIgwcP8swzz9CtWzero5UbwzDZrF0ZIiI+YcvhzIBa5FmiNlMnVkNGRUWRkJBAZGQkPXv2JDw8vKzy+R67UxMI4rsMD+xbyoWNL7c6iUi52JaQGXCHXQW61157jU2bNnHzzTcDcMEFFzBmzBgKCwt58sknLU5XTmw270pgERGx3pFN4AiyOoWUo2effZZHH32U3r17Y7PZME2Trl278vLLL1sdrdx4TJPNhzOtjiEiInjnRZwBNC9Someq1ZB4JxB0+Lf4MNvexYRXCqZ2eLDVUUTK3K5EtdkJNAsWLGDy5MnUr+/dgdaxY0cmTJjA7NmzLU5WjuwOOLrJ6hQiIgJ6PQ5ANWvW5IsvvmDx4sV89dVXLF26lMmTJ1OjRg2ro5WbIIedbQkqZoiI+IJAez0uUTHjtddeY9myZcW9IC+44AImTZpEq1ataNeuHe3ataNt27Zcf/31fPvtt2US2HKFOZCy0+oUIqcXH4XNZufWzo2tTiJS5uJTcgKqN6RAQUEBYWFhJ10WHh6O2x1gLT6ObrE6gYiIgPcQ8MIcq1NIOTIMg19//ZX69esTGRnJa6+9xksvvYTL5bI6Wrnaqp0ZIiI+4VhOISnZgXOGUYmKGadaDVmrVi3CwsLYuHEjGzduZN26dTz00EOMGTOGjz/+uExCW8Y04ehmHfAmvu1YHGZ2EleeX9fqJCJlrtBjcDBNEwiBpGPHjrz22msUFhYC3uLGG2+8Qfv27S1OVo7SD0BBltUpREQEvJ8NdQh4QBkzZgyjR48G4MUXXyQ1NZX4+PiAajOVnltIYla+1TFEROS4TYfSA2ahZ4mKGadaDWm32/F4PMXfBwcH07t3b5566ik++OADXC4XLVu2ZPTo0XTp0oWhQ4cCsGrVKgYOHEjHjh3p27fvSe0hXC4Xzz33HL1796Zt27Z0796dCRMmFF/fq1cvpk6dynXXXUebNm249dZbiY2NZciQIbRr144+ffqwZUsZrFg0iiB5R+nfr0gps8X9SsuISlbHECkXsUeyAuZNW2DEiBGsWbOG9u3b0717dzp06EB0dDQjRoywOlr5MHT4t4iIz9Eh4AFl6dKlzJgxg5ycHFasWMErr7zCBx98QFRUlNXRyoVhmmw5lGF1DBER+Z1AOgS8RMWMU62GzMzMpEmTJn+6bc+ePSkoKCAmJgaAgwcPEhUVxRtvvMHOnTt54IEHuO+++1i7di0vv/wyr776KsuXLwdg7NixHD58mO+++46NGzfy3HPP8fbbb3PgwIHi+//222/5+OOPWblyJWlpaQwePJgHH3yQtWvXcs455zB27Nh//Es5LZsDUneV/v2KlLb4KEJCQjinbrjVSUTK3M7E7IB50xZo1KgRP//8M1OnTuWZZ57h888/54cffqBBgwZWRysfJpC83eoUIiLye0mxOgQ8gKSnp1O/fn2io6OpU6cOTZo0oVKlSict8vRnHo/JjqM6t05ExJfsSswOmEPAS/QsT7UasqCggGuvvfZPtz1x+FVGRgYA/fr1o1KlSlStWpWvvvqKyy+/nN69e+NwOGjfvj2DBg3iyy+/BODhhx/mnXfeITw8nMTEREJCQgBITk4uvv8BAwYQGRlJeHg4F154IV26dKFdu3YEBwfTrVs3EhIS/tEv5C/ZHZCyu/TvV6S07VsKwO1d/lxoFPE3uwPoTVu8duzYQadOnejWrRuLFi3is88+C5wzMxxOOBZndQoREfk9vS4HlEaNGjFr1iy++uorunXrhmEYTJkyhRYtWlgdrVw4HTbiU9XmVUTElwTS67KzJDc+sRoyJiaGlJQUIiMjefzxx4sLF7+XlpYGQK1atQCoU6dO8XUJCQmsWbOGjh07Fl/m8Xho3Nh7YPGxY8d45ZVX2L59Ow0bNqRVq1aA96CtE6pXr178d4fDQbVq1Yq/t9vtZbdKN1XFDKkAXMmYKbvofnaArFSWgLYrSSvDAsn48eOZNGkSGzZsYPTo0Wzbtg273U5iYmLgtJrSpJmIiG/R63JAefrpp3nqqacIDQ3lpZdeYs2aNUyePPmk1tj+zGazsS81sA47FxHxdQeP5WKYJnabzeooZa5ExQz4bTVkVlYWEydOxOVynXI75eLFiwkLC6NNmzaA9w3vhMjISG688UZeeuml4suSk5OLCxCPPvoovXr1YvLkyTidTtLT0/nmm29Oun+bFf9xinIhqwx2fIiUAVvcrzTpdJ/VMUTK3MG0XArcHkKcDqujSDn46aef+PLLLyksLGT+/Pl8/fXXREREcN111wVOMSMt3uoEIiLye3npkJ8FoVWtTiLloFOnTixevLj4++rVq7Ns2TKCg4MtTFW+9gXQCmARkYqg0GOQlJlPver+f35uifpyjB8/njvvvBOA0aNHs2TJEnJzc/n555+Lb1NYWMjPP//MuHHjGDZsGOHhf+7ZP3DgQH766SdWrFiBYRjs37+fO+64gylTpgCQnZ1NaGgoDoeDtLQ0Ro8eDUBRUdE/fqKl4theax9fpCTio3A4g+l+dm2rk4iUKdOEuGStDgsUycnJnHvuuWzYsIEqVapw7rnnUqtWLfLy8qyOVj6yE6EoQJ6riEhFot0ZAWXhwoUMGTKEPn36MGTIEObPn291pHKTW+Am1VVodQwREfmDPcmugDhPtETFjD+uhhw3bhy1a9dm1apVtGvXjnbt2tGjRw+mTZvGqFGj+L//+79T3k+bNm0YN24c48aNo1OnTtxxxx306tWLxx9/HIDXXnuNn3/+mfbt29O/f3/q1q3L+eefz+7dFrZ4MjyQosO/pQI5sArTcHNTx0ZWJxEpc7uTXLh/14pQ/FfdunWJjo5m1qxZXHzxxYB3fNKoUQC81pmm2l2KiPiqlJ3gCZDzmwLcnDlzePrppznnnHMYPHgw559/PiNHjuTbb7+1Olq52HdMuzJERHzR3hQXbo//FzNK1GbqxGrI1atXF6+GXLp0Ke3btycmJua0P7dr15+LAD179qRnz56nvH337t2ZN2/eae/v91s6AcaMGXPS9/3796d///5/8Uz+AdMD6ftL9z5FylJhDhxeT5embaxOIlLmjmTkEQALEAR4+OGHuffeewkNDWXGjBmsXr2aZ555hvfff9/qaGXPKFIxQ0TEV2kXf8D45JNP+OCDD7jooouKL7v00kt56aWXuOmmmyxMVvbchsGeJO2IFhHxRftSc3A4dGbGSQJ6NaQ9CNL3WZ1CpERsexdRp0dHnHZwa9G6+LGjGXk47P7/pi1w1VVXFS+GCAkJoW7duixatIg6depYG6w82BxqYyIi4quOxYGjxEdSSgV05MgRunTpctJlnTt3JjEx0aJE5cc0dV6GiIiv2peaowPA/yigV0PabNqZIRVPfBS2y0ZwQ9sGfBejw+vFfx3JzA+IN23x2rNnD9999x0JCQlERETQv3//wChm2B1a+Ssi4qtUbA4YkZGRREdH07lz5+LLoqOjqV+/voWpykeQw65ihoiIjwqU1+cSFTMCejUkQJp2ZkgFkxCDWZjDdSpmiJ87kqEDkQPFihUrePDBB+nVqxctW7bk4MGD3HXXXbz99ttcccUVVscre5mHrU4gIiKnkqWxdqC48847eeihh7j55ptp1KgRBw8e5Ouvv+aZZ56xOlq50LhbRMQ3JWbmY5im3y/0LPE+2IBdDekpguyjVqcoE6sTgxm3JZy9mU4qOU2ubpTPE22zeXVjVebsDz3ptvkeG5fULWTyZel/eZ+jN1TBVWRnzEWZxZd9viuMD7eF47Sb/LeVi1vP9g6CigwYtKAWb12SQfOqntJ/goHMcMO+5bRt1NPqJCJl6kimPlQFivfee4/XX3+da665pviyefPm8dFHHwVGMcPl/y0sREQqpLx08BSCI9jqJFLGbrrpJhwOBzNnzmThwoU0aNCA0aNHc/XVV1sdrVwkZxdYHUFERE7BbZhk5RVRPcy/xyL2ktx4xYoV3HbbbWRkZNCyZUtcLhd33XUXCxcuLKt8vsOVBKb/HTqQlm/j/mU1uLVFHusHJvPD1cdYlxzMxzvCealTFhtvSi7+er9bBlWDTJ5un33a+0svsDF8VTW+2F35pMtdRTbGbKzC55enMblnOi9vqEqu21sp/GxXGD3qFaiQUUZsexdRJTSYGmFBVkcRKTNZeW7yCvUaEgj27dvHVVddddJlV111Ffv377cmUHnyFEFumtUpRETkdHKOWZ1Aykn//v2ZNm0av/zyC5MnTw6YQgZAcna+1RFEROQ0UgKg4FyinRkBvRrSTwemNUNNVt2YTHiQiWlCRoGdAo+NmiEnF27SCmwMX12dER2yOLua+5T3lVNk4+qfIujbJI+rGp08wHHYTMB7YBiADbBhkphr58d9lfi2t3/+fn1CfBQ2u53bOjfmwyj1Whf/lZSVT9Palf/+hlKhVa9end27d3PuuecWX7Zz504iIiIsTFVOcvVeKSLi07KPQNV6VqeQMjZ48GBsp2jhERQURM2aNbnsssvo06ePBcnKXm6Bm/wi/1vkKSLiL45k5tGiTvgp36f8RYl2ZgT0asjcFKsTlJnwIG+F4dIfI7h2Xm0iKhn0b35yy5axm6rQqmYR1zU9/SqMEIfJ3D6pvNAxmzCnedJ1lZzwQscs7l9WgweW1WB050wqOeHVmKoMa+MitMQNz+SMpe7GdKXQ+4JIq5OIlKmDabmYpvn3N5QK7aabbuKBBx7gq6++YsWKFUyfPp2HHnqIgQMHWh2t7Plpu0sREb+RmQCGJnr9XZs2bdixYwetW7emT58+tGnThl27dlGzZk1q167NK6+8whdffGF1zDKR6vL/Fb8iIhVZUlYBHsO/50VKNIUcsKshDXdArIZc0C+FzEI7w1dX45EV1ZnU03suxiGXg9n7/373hNMOtSudfvB+S4s8bmnxW5FkxdFg3AZ0iCjkkRXVOZDtoH1EIc+2zyaoRGU2+VtxCzn3vP5WpxApUwkZebgNkyCH/65AEBgyZAgFBQVMnDiR1NRUGjRowB133MFdd91ldbSyZRreSTIREfFdrkQw3YB/96oOdDExMYwfP56OHTsWX3bFFVfw5ptv8uabb3L99dfz6KOPMnjwYAtTlo2jWWoxJSLiy5KzCvD3NZ4lKmacWA15//3307BhQw4ePMgnn3zCbbfdVlb5fINpeA9083OhTgh1GjzR1sVNC2qRWWijWrDJ9/GVaFe7kPNqnLq91D9R6IE3N1Xhox7pTIgNp3qwwbtXZ3BvVA2+21up+HBwKR22+CWEtL2V5hGViU/JsTqOSJlIzNSHq0Bgs9l4+OGHefjhh62OUr4Mtw7/FhHxddlJeBvqij/bvXs37du3P+my1q1bs337dgDOPfdcUlL8r7OD2zA03hYR8XHJ2fk4/HyBZ4mKGQG7GhKb3x64GZMSxLNrqzH7mlSCHd7LCj0QZDep5PCW8hYcCuXuc0t3AnzSjsr0aZxPg8oGezKdXNkwH5sNLqhZxO5M9ZwqdfuWAnBHlya89NN2i8OIlI2s/CLsftwXUryeeeaZU15+ok91z549adu2bfmGKhc2tZkSEfF12UfBEWR1CiljjRo14vvvv+emm24qvmzOnDnUr18fgNjYWL/sXmEY3vYlIiLiu5KyCvx+XqREs8YBuxrSZvfbnRktq7vJ99h4a3MVHm+TTUq+ndc3VWFg8zyCHZBeYGNvlpNOdQpL7TEPuxz8ejiUr6/0tq1qWsXNptQg+jfPY8uxIHrW1wCp1GUnYqbG0eMcnZsh/suV78Zh9+83bfEWLWbOnMkVV1xBo0aNOHLkCAsWLOCSSy4hIyODzz77jFdeecX/Dt60O8GVbHUKERH5K64kqxNIOXjiiSd44IEH+P7772nQoAFHjhxh586dvPfee+zYsYM77riDESNGWB2z1NntkJKtz+oiIr4sEF6nS1TMCNjVkHYH5PnnzozKQSaTeqbxakxVuv5QhyrBJtc2zeOhC1yAt/AAULeS508/uz45iCFLazC3Tyr1K5/5QXejY6rwZNvs4p0g952fw7CV1bloZh0uqVvILS1y//0Tkz+xxf1Ksw73WB1DpMxk5ZdeKzzxXUePHuWdd97hiiuuKL5s6dKlzJgxg/fee4+1a9cyevRo/ytm2GyQn2l1ChER+St6nQ4Il1xyCXPnzuWnn37i6NGjXHbZZbzzzjvUrVuXxMREpk+fznnnnWd1zFLntNvJyi+yOoaIiPyFQHidLlExI2BXQ4Lf7swAaFHNw5TLTv38Wtdys+vWU/fo7liniI03nXqV6JiLTj+Qn9Aj46Tv61Qy+PIK/ywW+ZT4JTgueoBLzqrFqr3+f6C9BJ7sAHjTFti8eTMTJ0486bLu3bvz+OOPA9ClSxcSEvz0oOxCl9UJRETkrxTqbLpA8P7779O/f3+GDh36p+siIyOJjPTf3fC5BVo8JCLiywLhdbpExYyAXQ0JkOu/xQwJEPtXYhoebu7YSMUM8UuuAHjTFqhZsybLly/n0ksvLb5s9erVVK9eHYBDhw5RrVo1i9KVsQIVM0REfJqKzgFh27ZtTJw4kQ4dOjBgwACuuuoqQkJCrI5VLlwFf+7YICIivsNV6P/zIiUqZgT0akg/3pkhAaLQBQkxdGl+gdVJRMpEttpMBYSHH36Y//73v/Tu3ZuGDRuSkJDAwoULGTlyJPHx8dx5553ccccdVscsG1rxKyLi21TMCAgTJ07k2LFjzJ49m8mTJ/PSSy/Rp08fBg4cyIUXXmh1vDKVEwCTZCIiFVluABSd7SW58YnVkL8XMKsh/fTMDAkstr0LqRsejLNE//JFKga1mQoMffv25fPPPycsLIzY2FjCwsKYNm0aN9xwA3a7nRdffJH777/f6phlQ5NkIiK+TTvoAkatWrW46667+PHHH5k0aRLbtm3j5ptvpm/fvnz55Ze43f456Z+jndAiIj7NbZgUus/8XOOKqEQ7MwJ2NaRhQEGW1SlE/r34KGw9n+HaNg34YaOf7qKSgKWdGYFh5syZXHPNNbz88st/uq5p06Y0bdq0/EOVFxUzRER8m6cQDDfYS/QxWyqgoqIilixZwo8//siyZcto0aIFzz77LA0aNGD8+PGsXr2aDz74wOqYpU7FDBER35df5CHYj1cxl2iU1bdvX+rXr8/MmTOJjY2lfv36TJs2jVatWrF//35efPHFk87T8BtFOWCaVqcQ+fcOr8csyuX6tvVVzBC/U+A2cHsMnA7/fdMWmDp1KqNHj+bqq69mwIABdOjQwepI5UcrfkVEfF9RHoRUsTqFlKEXXniB+fPnA3DttdfyzTffcN555xVfX69ePW699Var4pWpnABoXyIiUtHlFnqoWinI6hhlpkTFjIBdDWnoDVv8hOGGfSto17CH1UlEykROoYdqlVTM8Gdz5sxh27ZtzJo1i//+979UrVqV/v37c8MNN1C3bl2r45UdwwPufKtTiIjI3ynMUTHDzx05coSRI0dy+eWXExwc/Kfr69Wr55e7MkBnZoiIVAQuP99FV6JiRkCvhhTxE7b4xVRtcTlVQ51kqS2P+Jkij3/3hhSvVq1a0apVKxYtWsThw4d55513GDduHHa7nfr16zN06FBuuukmq2OWLj8sZKTl27j511qM7pxFl7qFAGxODWJ0TBXiMp3UCDF44IIcbjorr/hnfogP5aPYcFLy7DSv5uH5Dlm0q33q83Jy3TZeXl+FxQmhuE24vEEBL3bMonKQiceAZ9ZWY+HhEOpUMhjdJZOOEd77OeRy8NDy6nzX+xjBjrL/PYhYZU+mg/8srklqvh0bcG51N19deYzQU3xC/GBrZSZuD6fQgCA7DDkvh0cv9O4W+2xXJd7YWBW3CU2reJjbJ7X4fLZrfqpNu4hCXu0SQC17C3OsTiBlyOVy8b///Y8WLVoQHBxMy5YtCQkJweFwYJomQUFBdOzYkRdeeKH4Z/r27cv999/PddddZ2Hy0pFX5GcLPQtcBC99l6J2N2NGtADAlnYA55YfsGUlQkg47pZXYDS9qPhH7Aeice5aAPnZmFXq4L6wP2atpqe+f3cBzs0zsR+NBdPAqNcKd9sB4AwB08C54SvsR7dihlbD3W4QZu3m3p/LOUbQmikU9RwGDrWtEz+WdZTgFROgIBsAs1p9ino8As4/F4odO+bj2L3Iu0jX5sBzTi88518DgD1uKc5tc8A0MMMjKLr8ieKWj0G/jsGo1RRP+1vK73lZLNfPC88lWr46Z86c4kM3//vf/3LVVVcxceJEkpKSyiqfiJS2+Chsdge3dWlsdRKRUmeoJWDAiI2NJTMzk0qVKlGjRg3uuusunnrqKfLy8hg1ahQff/yx1RFLl5/tEt2QEsTNv9bioOu3D+iZhTbuW1qDG5rmEz0gmVc6Z/FaTBW2HPNukV6bFMzLG6oy5qJMogcmc12TPB5YVoO804zVX15fhaO5Dub3S2FBv1SO5joYuzkcgBWJwWxICSLq+hRuOzuXNzb+top69IYqPNU2W4UM8Xu3/lqLEIfJ6huT+KxXGnuznDyysvqfbrfyaDDvbwvnPy1z2HxTEreenctHsZXZdsz77/ftzVW4vGE+i69N4ZDLwcfbKwPwfXwlkvPtjO4UQIUM8LvXa/nN1q1bueyyyxgwYAC9e/dmz549AHzyySds3LiRTZs2sWTJEkzT5Iknnij+ublz5/pFIcNjmH7Vfdt2bB/BS9/FlnPstwsLcwla9Qmexh0p7PcKRe1vxrn1R2xpB7w/kxKHc8tMijrcRmG/VzAadSBozWRwF57yMZybZ2LLy6Cw9zMU9n4GW146zm0/AWBP2on9WDyFV72A0fwSnNtm/+7nfsDd+joVMsTvBS97H9PhpPCalyjs9iC27GSc6z770+1sSbtw7JyP56weFF47Bk/zrjh2/QrpBwFwbp+HUa8Vhb2fw5ZzDPvuxQDY96/Flp+Fp+2gcn1eVnN7/OjF+hRK3IujVatWPPfccyxfvpxnnnmG+fPn06tXL+677z6ioqLKIKKIlKrkHZg5qVx1QaTVSURKnaGNGX7v448/pm/fvtx88814PB6uv/56li1bxtNPP81//vMfJkyYgM1m44MPPsDlctGyZUtGjx5Nly5dGDp0KACrVq1i4MCBdOzYkb59+zJ79m8fHl0uF8899xy9e/embdu2dO/enQkTJhRf36tXL6ZOncp1111HmzZtuPXWW4mNjWXIkCG0a9eOPn36sGXLltJ/4qb//J/7h/hQhq+qzrALTz4DZMGhUKqHGNx+Ti5OO1wcWci1TfP5cncYAN/urUTfJvl0iCgiyA7/OTeXGiEGPx+s9KfHyHPDnAOVeKS1i+ohJrVCDYa3yWZmfBh5bnDYvLc7Mcy3H/9+4eEQKjlNutY79aSEiL9YlRhEdpGd97tmUDMUutQt4pYWuaw4GvKn236wLZzqwSaPt3UR6oQR7bOpEWLy2saqwG//fk68SjltJm7DWxh8tUsm9kDr/miqmOGvXnvtNW644QZmz57NJZdcwrhx4/50m/DwcAYNGsS2bduKL+vVqxczZ84EIDo6mv79+9OxY0euvPJKXnnlFdxub1U+LS2N4cOH06lTJ7p06cKwYcPIzMwEICEhgccee4yLL76Yrl278vjjj5OcnFz8GLGxsQwePJhOnTrRu3dvPv30U8xSrjyU9v1ZyX4gmqDoabjP73Py5Ue2YAZXxmjeDewOzIizMRp1wBG/EgDHgTUYDdth1moGdgeeFpdiBlfGnrDpzw/iLsR+KAb3eVdDcGUIqYL7gn7YD64DdyGm7cSqieO/V5v9eIat4AzGrNOyjJ69iI9I3oWtKJ+izndBaDhEtMDT9GLsybv+dFPnzvkQFIanVT9wBuO58AYIrkzQ1uOf42zHByMn/j3ZHWC4cW75AXf7mwm0wYjH8J/X61P5R/81Y2NjeeONN3juuedITExk8ODBdO/endGjRzNy5MhSjigipS5uEefVDbM6hUip084M/zdr1ixuvPFGoqKiqFWrFhdccAFO52+r1urXr8+wYcMoKCggJiYGgIMHDxIVFcUbb7zBzp07eeCBB7jvvvtYu3YtL7/8Mq+++irLly8HYOzYsRw+fJjvvvuOjRs38txzz/H2229z4MCB4sf49ttv+fjjj1m5ciVpaWkMHjyYBx98kLVr13LOOecwduzY0n/iflTM6FavkF+vTaFPk5NbZ+3JdHJOtZO3WbSo5mZnhve/b1ymk3Oq/+H6qm52pv951eKBbCdFhu2k259VzU2+x8b+bCeXRBbSNbKQq36K4Pv4SjzbPos8N7y7JZxn2mWX1lMV8Vmrk0KwYXJBrd/+jXSsU4jHtJHgOvkj4iGXgwaVT56grx/mYX+2dyJueNtsliSEcuWcCFpUc3PvebkMX1WNZlU8XNWooOyfjK/xo9drOdnOnTt58sknOfvss3n88cfZunXrn26TmZnJ3Llz6d279ynv48knn2Tw4MGsX7+eqVOn8ssvv7Bo0SIAHn30UVwuFwsWLGDRokVkZWUxatQoioqKuPvuu3E4HCxYsIB58+YBMHToUNxuN0lJSdx5551cffXVrFq1io8++ojp06fz9ddfl+rz96e5MaNuSwp7P4vRsN1Jl9uyEjGrnbzoz6hSF1vWkePXJ2FUrXfS9WbVutgyE/70GLacFGymB/N3tzer1MXmKcLmSsGsczZGnXMI/vU17AfW4b7wBnAX4tgxD3fr60vpmYr4LkdynLf0UKNh8WVm7ebYTANy0k66rS3nGGblmiddZobVwOZKAfAWChO3E7zgVcwqdTFaXIZz/ZeYVepgNGhT1k/F53j8fF6kRHvWPv74Y3788UcOHDhAt27dGDlyJD179iyeRGjTpg133nmnChoiPs52eB0hFw5ixVOXYfjTqFQCXp0qf15RKv7DNE1mzJhBtWrVTnub2rVrM3jwYF5//XUyMjIA6NevH5UqVaLS/7N33+FRlG0bh38zu5uekEIaNYTee6+CoAIWikixF8SKYsNGUSk2LPiKqMCnoqiIvorYXrFgoygqoiggIAhSpCeQsjvz/bEQjaASSDJbrvM4cpDsbnavTUgyO/fz3Hd0NFOmTKFHjx5FJxlatGjBoEGDeP755+ncuTPXXHMNLpeLuLg4tm7dSmSk///U9u3bqV69OgADBgwgI8P/QrdJkybk5OTQvLn/xXCnTp2YNm1aWTz7MrhPZ6RGH/1EX26hQbS7+POMctkc8PpXWuV6DaJdf7ne/cf1f5Zz6LKYP93f4c/N9RqYBtzVZh93tfmj/c2Ub+MYkH2Q3fkmoz5P5KDX4OyaBxhS+yBSRmqdDI1DbL5NkNj3+3yMH7+CftOLLqvw3Tr49Bl2tr+dyrX+OLFQ8MZkotNTod/Eosuils+g8Ncd0O8ehgJD/3TfazZtY+G86bz/2HUMeuAlfvxlK3ExkTw5ehiNalYuh2fnsDjtfg5lHo+/9WFKSgr5+f5i3YgRI3C5XFiWRW5uLvHx8UyfPv2onx8ZGcnbb79NYmIirVu35uOPP8Y0TTZv3szSpUt55513SEpKAmDy5Mns2bOHL7/8kk2bNjFv3jzi4vztEsePH0+bNm1YuXIly5Yto2bNmgwbNgyAWrVqcckllzB79mwGDy69HvF2CB2LEJVw1IsNbz64/vJ6wuXxXw4Y3jxw/aWXvysC42htpgoPFXP/3Pv/8PvefDBMvM0HQfM/2t+4vl+AVb0tRkEu7mXPga8AX1Y7rBodSvT05Nhd3DGLCztkOR0jLD1y32e89bPJopu6FV329Zcx3Lz0GZ4cVId6DRoVXd7vfYOs6qk89KfbXv/zs2xYv4/XbuoGdANuL7puw7qfufKtH3j2lTcZf9sNrFuzhti4WO554FHq1GtQ1k/Ncakhfl6kRMWM//73v/Tv35+zzjqLihUrHnF9pUqVuO2220otnIiUDbv1pRT4CthRcOT2PZFglkFD4MhhYRL8Nm3axMUXX8yvv/5Kw4YNeeyxx/72trt2+VfypKSkAJCWllZ03ebNm1m8eDGtWrUquszn81Gtmn+O0M6dO5kwYQI//PADVapUoVEj/0G09aceZomJiUXvu1yuYsUV0zRDqg1DeYp22+w/WHxFeJ7PIPZQQSLabZPnK164yPMaJMUeWRyJOVS4OOg1iPUcev/Q58a5j/z+rNvn4rOtkbzUcyfn/C+Fi+rm0rVSPqe8WZHWaQXUqqC2MWUiMh4qVPn320mpi09K9f+u+tPXfy/+OYipVWtDhZSiyz0RHv/P3p9um+cziIiMOOr374qRjzH0jO68/MlqVv2yjcUvP8I1d/+Hq6e8wkez7y/DZxUg1OM+bBiH2po88cQTtG3bFoC8vDyef/55LrjgAl566SUaNmxY7HOeeeYZpk6dyvjx49mxYwedO3dm3Lhx7NjhX11cufIfBb/U1FRSU1P56aefSEpKKipkgL+dVWJiIps3b2bz5s18//33xY5tLMvC5dLwp5Ky3REYB/cWv9BXiO2O8l/vigDfXwoXvgLsiNgj7+xw4cJX6B/4DX/M1vAceaLR2L8dc/tqCrtei+fjR/HV6oqVUZ+I/02iMCUbO0GF0rIQH+UhMUavH52QnFgB27aLff3tAv8ioqzKmcUuj4yIwFeYX+wyb2EBUZERR/3+jRt9PWefM4SFb/2XdWtW87+PPuXmUSO567YbefOd98vwWQUGtyu022od85HWsa6GPPtsra4SCWjNz4XUekxZOpkXfnzB6TQipep/A/9HRqwO9EPRuHHjaNCgAbfffjtz5szh/vv//oTYBx98QExMDE2b+rcUG8YfJ8AzMjLo168fd911V9Fl27dvLypAjBw5ku7duzNjxgzcbje7d+/m5ZdfLnb/f76/8uPEY5avOhW8fLa1+Iv7tXvd1D7UKqp2BS9r9hY/dF27z02XSke2samR4MVj2qzd66ZpxUIAft7rxmPaZMUfOTH8nq8SuK3FPtymv91Vw+RC4iNsqsX7WLPXrWJGWfn+Nf+blLv22yN4yk5m9UNnUCfJ///7y6/iMY0YMt86v9htq7qS2bBxD/xfn6LLtmxKIzveW+wygNk/RbN/Zzy3Rj7HpR8kUdHjIvblAbTxxrBsZ/wRtw9JV3wOUX//mllCW1RUFJdccglPPvkkn3/+ebFiRn5+PmvXrmXcuHG43W7Wr1/PHXfcwcSJE7n9dv+K4i1btpCVlQXA2rVrefPNN+natSu7d+8mJyenqKCxf/9+du/eTWpqKhkZGbRt25YZM2YUPdbu3bvJzc0t1edmhMGxiB2fgbmt+II/c/+2okKCnZCJuX8bf15GYezbhpVe/8j7ikvDNlz+1lXJ/t29xv5t2KYLOy71iNu7V7zqbzVlujD2/YadWAU80dixFTH2b1Uxo4w8snANjyxc43SMsGRs8xBh2zQZ9QxU8Ldjc337Gi7DoNeT3wF/tPLz2HH8vvYXmox/r+iyiJ9/wY5PK3YZgPnzp7i372JWbjPc7z2J4Yql3f2fYu5Lwr196RG3D0UvDm9Hu+yUf79hkDqmUs2mTZvo1asX7dq1Y+DAgWzdurWsc4lIWXBF4D3tPlbvXs2LP73odBqRUmcaob0CIZx9++23TJo0iW7dujF27NiieRh/VlBQwFtvvcWUKVO4/vrri61gPGzgwIG8+eabfPrpp1iWxYYNGzj33HOZOXMm4D85EBUVhcvlYteuXdxzzz0AFBYWlu0T/DeOFFDKV8+qefx+0OT/foyh0ILF2yKYvyGKAdn+FVoDsw8yf0MUi7dFUGjB//0Yw848k55V8o64r2g3nFYtjwe+jWNXnsGuPIMHvo2jb/U8ov6ylOetX6LIiPHRMtX/Pa4e5+Xr3yPYnW+wfp+b6nEqZEjo6ZhZQJzb4vJFSWw7YLJ0u4cX18bQsuKRv+tGNMxhd77BhOXx5HlhwvJ4ducbXNEwp9jt8rzwwLfxTOmwB4A6FQr5Pc/Frjz49LcoEiLCZJaEjkVC1sGDB+nRo0fR2/79/hlLo0aNKrrM6/Uyb9489u3bR8uWLYt9vmEYjBo1ipkzZ+L1eklNTcXtdpOUlER6ejodO3bkvvvuY9++feTk5HD//fezadMmGjduTK1atRg7diz79+9n//79jBs3jmrVqtGiRQtOP/10vvnmG9544w28Xi/bt29nxIgRTJ48uVSffxgcimBVaoKRvx/X2o/B8mHsWIO56St81dsA4KveBnPTVxg71oDlw7X2Y4z8/ViVGh95Z+4IrCrNcH//JuTnQH4O7u/fxKrS4ohWVeavX2NHJ/oHiwN2XCrGrg2Qn+ufrxF7ZGcUkWBnp9fFdkfi+eIpOLgXdvyMa8MX2Mk1jritt+7JUJCLa8V//bNlVvwXCnLx1un5lxsW4P5+PoWtzvM/RkImRv4+yMvBte1H8ITH7FhXiP/CPqadGUdbDfnggw+WdTYRKW0DZ2J6ohn7+VgsDSeUEKRiRuiyLIuYGP/BZ6VKlcjJySE+Pp6xY8dy9913A/4+1NnZ2YwfP57evXsf9X6aNm3KlClTmDJlCiNHjiQ6Opq+ffsyatQoACZNmsTEiROZOXMmFSpUoHfv3jRo0IDVq1fTqVOn8nmyRxMG/7eTIm1mnrSLCcsTePS7OJKjLO5ouZ926f6WDO0zChjbah/jliWw7aBJrQpenuq6m8RI/66aJ76PZf6GKBb02QnA2Fb7uPfreE5/uyKFlkGPynnc2ar4cO+cQoNp38fyTI8/hgyObbWP25ZU4N6v4zmvTi4Nko/cySESCuacvJNLP06m6+v+FcINk73M7Ob/Wag7J50htQ4wrvV+ulUq4LomOUxbGcezP8UQYcI1jXLoXKl4q5XrP0+kYbKXjpn+y0c1zeF/v0bR/rV0ol02UzvtKdfn55gw+H0driZOnHjEZaNHj2bPnj2Ypv/73qZNG7KyspgyZQotWrQodtuIiAimTZvGvffey/Tp03G5XHTp0oUbb7wRgAceeIDJkydz2mmn4fV66d69O7fffjtut5vp06czefJkTjnlFAoKCujQoQOzZs3C7XZTuXJlnn76aR544AHuueceXC4X3bp1K9rtUVpC/NyYX2QshR1H4F7xGq5V70BkHN4m/bBTawNgp9XB23QA7m/mYRzcg52QQWGH4XCozZTrp/cxN31F4cm3APhvu/INIhbeD5YXK7MR3qb9iz9mYR6un96nsNMVRRd5mw7AvfxF3Cvn48vu5N+lIRKCCrpcS8TnTxLxznjAwE6sTGGnEQBEvDYKX40O+JoNxM5ogLf+abh/+h+unxeB6cZX7xTsjHrF7s+97DnsxKrY6XUB8DU8DfO374h4ewy4PBS2uai8n6IjzBA/FDHsY2js3KpVKxYtWkRMTAxbtmxh2LBhfPjhh+WRLzAc3AP3Vnc6hciJyWyK77IPmbt6LhOWTHA6jUiZ+Picj0mOSnY6hpSBFi1aFNuN0aZNG5YuXepgonKWnwOTwmBwrohIsLtmOaTUdDqFSJnIGr3A6QgiIvIvXr+qI02rJjodo8wcU63maKshRSS4WINfYF/BPh5d/qjTUUTKjMvQoEMJUZ4opxOIiMixCJMWFuFoxIgRrF+//l9v9/PPP3P55ZeXQ6LyF+UJ8eW+IiIhICYytM+LHPMA8D9zZvClg7RVWIJdl5swK1Rh8qJb2F+4/99vLxKkIv7Sf1ZCR15eHuef/8dQ2tzc3GIfAzz77LPlHav8mG5wR4L3yGHXIiISQA61m5HQc8UVV3DllVdStWpV+vbtS/PmzUlPT8e2bbZt28ZXX33FW2+9xcaNG0t9XkWgiIt0k1dY8O83FBERx8RFHNfp/qAR2s+utHiinU4gcvyiEvF2uZHlvy3lrfVvOZ1GpMy4DBfRbv2+DlVXXHFFscUUbdq0cTCNQyJiVcwQEQl0eu0Yspo2bcrrr7/O3LlzefLJJ1m7dm2xY5P69eszYMAABg0ahMfjcTBp2YmNdPN7jooZIiKBLDpCOzO0GtLlgYg4KFB7LQlCQ+Zgmy7uXny300lEylR8RLzTEaQMXXPNNU5HcF5EPBzY9e+3ExERZ7g8/jcJWREREQwbNoxhw4axc+dOtmzZgmmaZGZmkpwc+nPbYkN8ta+ISCiICfHf1cf07LQaEohJVjFDgk+tk7GqtWPGiifZsG+D02lEylRCRILTEaQMjR07llGjRlGhQoV/vN2ePXuYMmUKd911VzklK0dqXSIiEtgi4pxOIOUoJSWFlJQUp2OUq9gQ78MuIhLsXKZBhDu0xyUcUzFDqyGB6GTYs9HpFCIl4hvwFFtzf+Pp7552OopImUuIVDEjlHXs2JEBAwbQuXNn+vbtS5MmTYpaOBQUFPDNN9/w1ltv8dFHHzF69GiH05aRSJ0kExEJaCpmSIiLjQzt1b4iIsEuNsRbTAEcU6lm7Nix7N27919vt2fPHsaMGXPCoQJSdJLTCURKpvcDuKKTueuLu8j3qce6hD7tzAhtvXr14uWXXyY6OpoRI0bQvHlzOnXqRMeOHWnevDnXX389MTExvPbaa5x66qlOxy0bOkkmIhLYtINOQpzaTImIBLZQbzEFx7gzQ6sh8beZEgkWFarhbXkhH2x4j8+3fO50GpFyoWJG6EtOTubmm2/mhhtu4Pvvvy/qU12pUiUaNGiAaYb2dloVM0REApx20EmI084MEZHAFg6/p4/pGfbq1YtWrVrx9NNPM2LECA4ePEhiYiK2bbNnzx4SExM588wzee2110hKCsEdDLalnRkSVOyhL1Foebl32b1ORxEpNwmRCdi2XWzGk4Qml8tFkyZNaNKkidNRyleUCnYiIgEt8p/nOokEM59lEx8V+ifJRESCWUIY/J4+5mcY1qshLZ92ZkjwaDYU0urzyLJ72X5gu9NpRMpNQkQCPtuH2wj9P94ShnyFEJfudAoREfkncWlOJ5BysGTJEsaPH8+GDRuwbbvYdatWrXIoVdnzWTapcZFOxxARkX+QGh/6v6dLfMYnLFdD2rZ/ALhIoHNF4O19P+t2r+HFH190Oo1IuUqISDjiBaVI6LBVzBARCXTxGeDzgksLK0LZ5MmTadq0KXfccQdud/h8r00D0hJC/ySZiEgwS4uPxLJtzBDuWBE+f3lPhGmqzZQEhwFPY3piGPvFWHy2z+k0IuUqISJBLaYkdBlu/0kyEREJXHHp/hbFEtI2bNjAiy++SGRkeJ3Yd7tMMipEOR1DRET+QWpCFD7LxnSF7rmREO4NVYpMN8SkOJ1C5J9lNMFXrw9zf5rLyt9XOp1GpNwlRCZgGvqzJiHKNCGhstMpRETkn8RngOlyOoWUsaysLLZvD892vpkqZoiIBLQ0tZmSIrGpTicQ+UfWkBfYX5DDI8sfcTqKiCPSYtJUzAgDa9as4b777mPDhg1YVvHVrwsXLnQoVTlJqOR0AhER+ScJVVTMCAOnnXYal156KQMHDiQ1tfh5grPOOsuZUOWkomZmiIgEtIyEKNxm6O7KABUzjp12Zkgg63QDZoWq3PvJrewv3O90GhFHVI2v6nQEKQdjxowhOjqa4cOHh1WfagBiKzqdQERE/klCptMJpBy8+KJ/NuGcOXOKXW4YRsgXM+KjPES6TfK9aqcmIhKIMhOjQr79donOAoT1asj4dDAM/zBwkUASlYi32818s/VL3lz3ptNpRBwR5YoiOSrZ6RhSDn766ScWLVpEXFyc01HKnysCohIhb4/TSURE5Gi0mz8sfPDBB05HcFRqfCS/7j7odAwRETmKtPjQbwdYomJGWK+GdEX4tw3v3eR0EpHihrwAppu7vrjL6SQijqkUp/Y74SItLY2CggKnYzgnPl3FDBGRQBSZAG614AllX331FS1btmTZsmVHvd4wDFq1alXOqcpfmooZIiIByWUaJEZ7nI5R5kpUkQjr1ZAAKbVUzJDAUrM7VrX2zFjxFOv3rXc6jYhj1GIqfJx77rlcddVVnH/++VSsWLztUuvWrR1KVY4SqsCOn5xOISIif6W5RiHvsssuY/ny5Zx33nlHvd4wDFatWlXOqcpfZoVoYI/TMURE5C9S4yIxQ3xeBpSwmBHWqyFtC1JqwroPnU4iUsQ3YAbbcrfy1HdPOR1FxFFV4qvgs324DA3dDHX33HMPAF9//XWxy8PiBIJtQUo2/BzirT1FRIJRSi2nE0gZW758OQA//vijw0mc4/VZZFWMdTqGiIgcRY3U8Pj9XKJiRlivhrS8/mKGSKDofT+umGTu+t8I8n35TqcRcVSVuCpYloXLpWJGqAvnEwj+YxGdLBMRCUgptfy/p80wa8cchrZs2fK311WqFPo7dLJVzBARCUjZFWOxbBtTA8D/ENarIU03pNR2OoWIX4WqeFtexIe//I/PtnzmdBoRx1WNr4rLVCEjlG3dupWMjIzwPoFgeiCljtMpRETkaFJqgW07nULKQffu3TEMA/vQ99v400mjUD8v4naZ1EoP07bjIiIBrkbFWLw+mwi3ihlFwno1pGFCal2nU4gAYA99iULby+Slk52OIhIQsipkYRqm0zGkDPXu3Zvly5cf9QSCbdvhsbDCMHQsIiISqFLrgiv0h24KLFxYvN3jrl27ePrpp+nRo4dDicqXdmaIiASm7NQ43K7QLmTAMRYztBrykITK/h0altfpJBLOmg6BtAY8uuw+th/Y7nQaEccZGGTGZjodQ8rYggULgCNPIISdhExwRYAvTGeYiYgEKrUBDBuVK1c+4uN77rmHfv36ccYZZziUqvzER3lIjPGw50Ch01FERORPaqfFhXyLKTjGYoZWQx5iuiCpOuz82ekkEq5MN94+D7Buzxrm/DjH6TQiAaFidEUiXBFOx5AylpnpL1j99QRC2DFMSK4BO35yOomIiBwWVQFikp1OIQ7bt2+f0xHKTXbFWJZv3ON0DBEROcRtGlRKjHY6Rrk4pmKGVkP+SXJNFTPEOQNmYHpiGPf5OHy2z+k0IgGhSnwVpyNIOapXr16x3tR/FhYLK8C/+lfFDBGRwJFc0+kEUo4ee+yxYh8XFhbyySef0KxZM2cCOaCGihkiIgGlanIMLjP0d2XAMRYztBryEMvnP4Gw5j2nk0g4ymiCr35f5q1+he9+/87pNCIBo2aFmli2pZkZYeLZZ58t9vGuXbt47rnnOPPMMx1KVM4sr1qZiIgEmhQVM8LJkiVLin3scrlo3rw5l19+uUOJyleh16JGRQ0BFxEJJDXCaJ5RiQaAh/1qSNunA1VxjDX4eXIKc3lk+SNORxEJKA1SGuCzfSpmhIk2bdoccVnLli258MILGTRokAOJypltQ2o9p1OIiMifpdUHX6EGgIeJ5557zukIjjJNg7oZKmaIiASSOulx+Cw7LHZnlKiYEfarIU0PVKzjdAoJR52ux0ysxuRPbmVfQfj0YhU5Fk1Sm+AxdfIgnCUkJLBt2zanY5QPlweqtHY6hYiI/FmlFv75ihIW/tpm6rCIiAiSkpLo0KFDSHe1cJkGzaomOR1DRET+pHHlCtjYgIoZxYT9akjDgIwmTqeQcBOZgLfbaL7Z+iVvrnvT6TQiAcVjeqiZqB1z4eS///1vsY8LCwtZuHAh9evXdyaQE5JrgicGCg84nURERAAqtwDtEA0bq1ev5r333qNx48ZUrVqVLVu28M0339C4cWN8Ph8TJkxg2rRptG/f3umoZSY1PpKU2Ah25hY4HUVERIDm1ZJwm+FxLFKiYsbRhNVqSIDoREjOhl3rnE4i4WLIC2C6ueuLu5xOIhJwaifVxm2e8J8yCSKPPvposY9dLhc1a9Zk7NixDiVygGlCRiPYtNTpJCIiUqEKRFVwOoWUI7fbzZgxYxg6dGjRZfPmzWPJkiXcd999vPXWW0yZMoW5c+c6mLLsNa5cgY9W73A6hohI2EuIdlMpMdrpGOWmRGeAtBrykKptVMyQ8lHzJKzqHZn53dOs37fe6TQiAadhSkMN/w4zH3zwgdMRnGdZkNlMxQwRkUCQ2czpBFLOPv/8c+6///5il5111lncd999AJx22mnceeedTkQrN16fRaMqKmaIiASChpXCa1FFiYoZWg2Jf7BblTbw7YtOJ5Ew4Bswg+2523hqxVNORxEJSA1TGmr4d5j568KKwzweD8nJyTRr1ozo6BBflWL7oFIzp1OIiAj4fx9r+HdYiYmJYeXKlTRt2rTosh9++IGIiAgAdu7cGfLHIoZh0KRyeJ08ExEJVI0rVwib4d9QwmKGVkPiP0itFrq9LyWAnHYfrpgU7n7/SvJ8eU6nEQlIGv4dfl566SW++eYbUlJSqFy5Mr/99hs7duwgIyODgwcPYhgGM2fODO1doxoCLiISODT8O+xceOGFDB8+nMGDB1O5cmU2b97M3LlzueSSS9iyZQsjRoygT58+TscsU/4h4IlOxxAREcJr+DecYJupw8JqNSRAaj2IiIWCXKeTSKhKqIy31UV89Mv7fLL5E6fTiASkCDOC7ArZTseQcla3bl1at27Nddddh3lowNljjz3G3r17uf3225k5cyaTJk3i2WefdThpGUuuBZ5oKDzodBIRkfCm4d9h5/zzzyclJYV58+bx3nvvUalSJcaNG0evXr348ccf6d+/P+edd57TMctcWkIUybER7NIQcBERRzWvlhg2w78BDNu27WO98ZAhQ7Qa8rD/6wsbdJJZysiIzzhYsSanv3Y62w5sczqNSEBqVLERc/rMcTqGlLNOnTrx4Ycf4vH8sSOnsLCQk046iU8//RSv10u7du348ssvHUxZTp4+GX5d5nQKEZHwlVAZRv3gdAoRx1wwcykfa26GiIhj4iPdfDf+FKdjlKsS7czQashDLK9/CLiKGVIWmgzGTm/I1C/vVyFD5B9o+Hf42rRpE9nZf+zK2bx5M16vF4C8vLxihY6QZfmgWjsVM0REnFStndMJxAG5ubm88MILbNiwAcuyil03adIkh1KVP6/PomX1JBUzREQc1LJ6ktMRyl2JzgC9//77XHPNNUWFDIDLL7+ct99+G/Bvt/zhh3BYmWL4h4CLlDbTjbfPg6zds5YXVr3gdBqRgHa4mCHhZeDAgQwfPpy5c+fy2WefMXfuXEaMGEH//v3ZuXMnI0eOpGvXrk7HLB9ZXZxOICIS3rI6+Yd/S1i59dZbefbZZ8nPz3c6iqNcpkHHWhWdjiEiEtbaZadQ6Auv8yIl2pkBWg0J+Ae8aRWOlIUBT+OOjGP8wvH4bJ/TaUQCWtvMtrjNEv8ZkyB37bXXEhMTw9NPP81vv/1GpUqVOOecc7jgggtYuXIl2dnZXHfddU7HLHumC7I6+v+19PdCRMQR2SeBKwxe/0oxS5Ys4ZVXXqFq1apOR3GUYRg0rVKBKI9JXmF4nUgTEQkUHWtXxG2Gx+Dvw0p0FujwasjLL7+cSpUqsWXLFmbMmFG0GvLmm28On9WQ0YmQnA271jmdREJFeiN89U/n1Z/m8u2Ob51OIxLQqsRXoVJcJadjiANM02T48OEMHz78iOuaNGlCkyZNHEjlkIhYyGgCW752OomISPiJS4fkGk6nEAdERkaSnp7udIyA4HaZtKiWxOc/73Q6iohI2ImLdNMgMwHDUDHjb2k15F9Uaa1ihpQaa8gccgpzeXj5w05HEQl47TPba15GmPL5fLz77rtH7VN99dVXO5TKIZbP3+JExQwRkfKX1cnpBOKQoUOHMnnyZK6++mqSk5OdjuMor8+iXXaKihkiIg5oVT0JV5jtyoASFjO0GvJPfIX+IeArXnI6iYSCjtdhJlbj3k9uY1/BPqfTiAS8jpU6qpgRpsaOHcuCBQuoV68ebvcfhzHhthqlSFYX+Hyq0ylERMLP4XkZajMVdl5++WW2bNnCnDlzjrhu1apVDiRyzuG5GVP+t9rpKCIiYefwvAyPK7zOi5SomKHVkH/i8kDtXk6nkFAQmYD3pFv5dttXzF833+k0IgHPZbhoV6md5mWEqQ8//JBnn32Wxo0bOx3FeZqbISLinOzuKmSEqcmTJzsdIWBoboaIiHM6heG8DChhMUOrIf8isRpUrAO/axWCnIDBz4PpZvwX451OIhIUGlVsRKwn1ukY4hDLsmjQoIHTMQJHRCxkNIUty51OIiISPuIzIDnL6RTikDZt2gCwd+9eNm3aRIMGDfB6vURERDiczBlul0nL6kl8tlatpkREyku4zsuAEhYztBryLywf1DlVxQw5fjW6YWV1ZNZ3M1m/d73TaUSCQvvM9vgsHy7T5XQUcUDfvn2ZMWPGUVtehiXLBzW6qJghIlKesjo7nUAclJuby5gxY1iwYAFRUVG8+uqrXHTRRcyaNYvs7Gyn45U7r8+iQ82KKmaIiJSjNjWSMcNwVwZAiZpqaTXkXxgG1OvjdAoJYr6BM9h+YAdPrnjS6SgiQaNT5U6alRHGvv/+e6ZMmULz5s3p0aNHsbfwpGMREZFyV+c08HmdTiEOue+++zhw4ABvv/02Ho+HqlWrctJJJzFhwgSnoznCZRr0apDudAwRkbDSo14ahb7wbO9Xop0ZWg35F4YJVdpAdBIc3O10Ggk2p0zGFVuRu96/kjxfntNpRIJCnCeORhUbheVWSvE7++yzOfvss52OEThMEyq3gphkOLDL6TQiIqHPdEOdU8Cl2V3h6sMPP2T+/PlUqFABwzDweDyMHj2aLl26OB3NEYZhUDs9nipJ0fy6+6DTcUREwsIpjTLCbvD3YSU6Avv+++9Zvnw506ZNIzk5udh1CxcuLNVgQcM0odbJ8N1cp5NIMEmojLfNJXy8cSGfbP7E6TQiQaN1Rmu1lwpz/fr1K3p/165dRxyPhCXThNq94NsXnU4iIhL6qneAyDinU4iDLMsqmo9h2/YRl4Ujy7bpUT+dZz7f4HQUEZGQ16hyAhXjIp2O4ZgSFTO0GvIofIVQt7eKGVIyQ1/Ca1tMWjLJ6SQiQaVDpQ4UWoV4TI/TUcQhXq+XqVOnMnv2bHw+H/Pnz+e6667jiSeeIDU11el4zvB5oU5vFTNERMpDnVP9rwFdOhYJV+3ateOuu+5izJgxRbuFH3744aLB4OHItqFXAxUzRETKw8n10/FaFm5TOzP+lVZDHoXL418NabrBUt9UOQaNB2GnN2Lqlw+w7cA2p9OIBJWuVbqqkBHmpk6dyuLFi3nkkUe4/vrrSUlJISMjg3vuuYdHHnnE6XjOcLmhTk9wRYCvwOk0IiKhrcGZKmSEuVtvvZUrrriC1q1b4/P5aN68OVlZWTzxxBNOR3OMyzRoWyOZ+Eg3+/N1XkREpCyd2jADVxi33i5RMUOrIf9GZBxUaw8b1C5I/oXpxtv3ITbs+ZkXVr3gdBqRoNIguQGZcZlOxxCHzZ8/nzlz5pCeno5hGMTExDBp0iR69uzpdDRneWIgqzP8HKZtP0VEykNqPahQxekU4rCUlBReeuklvvvuOzZv3kxGRgZNmjTB5QrvVqhul0mXOqks+O43p6OIiISszApR1MtMcDqGo0q0H+XPqyE9Hk+x1ZBhzVcIdU91OoUEg/5P4o6MY9wX4/DaWrEiUhKn1jgVr3bAhb0DBw4U7Qw93Kc6KioKM0y32BbRsYiISNmrexpYPqdTSADYsGEDixYtYvHixSxdupRt27TjvtBncXKDNKdjiIiEtB710rAOvQ4OVyV65T9//nweffRROnXqVGw15OLFi8sqX3BweaDe6U6nkECX1gBfgzOZt3oe3+741uk0IkHFwKBvdl/cZok2FEoIatasGY899hhAUZ/q5557jsaNGzsZy3kuD9Q/w+kUIiKhrV5fCOO2DuL3/vvvc/rpp/Ppp5+yf/9+Fi5cSJ8+ffjyyy+djuYoj8vk5PrpuEz9jIiIlJVeDTOKFvWFqxKdFdJqyH+QVB1SasHOtU4nkQBlDXmRnMJcHlr+kNNRRIJO09SmpMaEcTtDKXL77bdzwQUX8Nprr5Gbm0vv3r3Jzc1l1qxZTkdzXnwGVG4Jm79yOomISOhJqAyVW4Ch177h7qGHHuKee+7hrLPOKrrslVdeYdKkScybN8+5YAEgPspDh5opfLLmd6ejiIiEnArR/t+xrjA/D1+iZ6/VkP/A8vlX6ogcTYdrMZOqc/+y+9mbv9fpNCJB57Qap6nFlABQtWpVFixYwK233sr111/PlVdeyYIFC8jOznY6mvN8hdBkkNMpRERCU+OBEOYrIcVvy5YtnHFG8d2Q/fr1Y8OGDc4ECiBen8VZzSs7HUNEJCT1aZyJqd1vJStm3H777cyfP58uXboUrYZ89tlnGT16dFnlCx6GAS3OczqFBKKIOLwn3cbybct5/efXnU4jEnRchove2b3VYkqKFBQUkJ+fj2VZTkcJLC4PNDkH9LMiIlL6mg5RiykBoEmTJrz33nvFLlu6dCnNmjVzJlAAcbtMejfKJMoT3quGRUTKwoAWlbWuAjDsEjbaOnjwIB9++CFbtmwhIyODbt26ERcXV1b5gs9T3dXeQYo7/3V8WZ0ZMH8AP+/52ek0IkGnbUZbnj7laadjSID46quvuOKKK4iOjiYjI4MtW7Zg2zazZs2idu3aTscLDLMHwNr3nU4hIhI60hrAlV84nUICxO23385///tfunXrRvXq1dm2bRvvv/8+rVq1Ii3tjwHYkyZNcjCls655YTnzV/zmdAwRkZBROTGaz0Z3dzpGQDjmpXsbNmxgzZo1NGvWjN69e5dlpuDlK4Tm56mYIX+o0RWrRmdmrZylQobIcTq1xql4La92ZggAEydO5OKLL2bEiBGAf4bXY489xl133cVzzz3ncLoA4Cv0785QMUNEpPQ0GQSWVzvfBADLsoraTO3evZuIiAidI/kTr8+iX4sqKmaIiJSiM5tVwmfZuNRm6th2ZnzyySdceeWVFBYWEhcXxxNPPEGrVq3KI1/wKciF+2tC4UGnk0gA8N30M7/jo+9rfcnz5TkdRyTouE03n5zzCXER2gEofs2bN2fZsmW43X+cUCosLKRdu3Z89ZUWEwBQmAf3Z/uPSURE5MQYBoz6EeIznE4iEjR8lkXrCQvZlVvgdBQRkZDw4Y1dyUqJLZphHc6OqZHhlClTuO6661i+fDnDhg3j8ccfL+tcwSsiFuqf7nQKCQSnTMQVW5G7Ft+lQobIcepQqYMKGVJMjRo1+Prrr4tdtmbNGmrVquVQogDkiYJ6fZxOISISGqp3VCFDpIQMw6BP40ynY4iIhISGlRKoUTFOhYxDjmmf7C+//MLFF1+MYRhcdtll9OrVq6xzBS/LC83PhxUvO51EnBSfibfNZSza+AGLfl3kdBqRoNW7Rm+1mJJi2rZty4gRIxgwYADVq1dn+/btzJ07lzZt2vDYY48V3e7qq692MKXDLC80GaxjERGR0tB4kL+Fn8vjdBKRoGHbMKBlZZ5b/IvTUUREgt6ZzSrj9Vm4Xce0JyHkHdPZIcMwiqo/cXFxeL3eMg0V1Ew31OgMidVhj/5wh62hL+OzbSYtDd+hbyInqkJkBXpW76lChhSzcuVKGjRowKpVq1i1ahUANWvWZOfOnezcuRNAK1ZMN2SfBHHpkLPN6TQiIsHLHQWNBqiQIVJCLtOgWdUkslJi2LDzgNNxRESClss0GNCisgoZf3JMZ4iOYayG/JnlhWZD4KPJTicRJzQ+GzujMVO/epCtuVudTiMStM6qdZYKGXIEDfk+VjY0Pw8+ecDpICIiwathP4hUu0v5ezt37qRChQrFZnmJn9dnMbhNNSa//aPTUUREglaPemmkxEU6HSOgqKxTFkw3tLjAPyxOwovpxtv3IdbvXc/zPzzvdBqRoGUaJsPqD8NAv0dFjothQutL/P+KiMjxaXMZWD6nU0iAKSgoYOLEiTRv3pxOnTrRsmVL7rzzTgoKNOz6z9wukyGtqxGh1cQiIsftvHbV8fosp2MElGNaPnDgwAHq169f9LFt28U+BopaPcghCZUgqwus/9jpJFKe+k3HHRnP2IVX4rXVjk3keHWs1JHMWA0NFDluhuE/FqnVA9b8z+k0IiLBJ70RVG7pdAoJQNOmTWPJkiU8/PDDVKlShY0bN/LQQw/x8MMPc/PNNzsdL6BUiPFwaqMM3vh2i9NRRESCTtXkaDrWroipxfLFHFMx49lnny3rHKHHV+hv76BiRvhIrYev4Vm8vvpVvtnxjdNpRILasPrDNPhb5ET5vND6MhUzRESOR6uLNPhbjmr+/PnMmjWLqlWrAv7ZXTVr1mTYsGEqZvyFz7I5v311FTNERI7DkNbVsGxbxYy/OKazRG3atCnrHKHH5YEGZ8BbFSBvr9NppBxYQ18it/AAU5ZPcTqKSFCrGl+VjpU7Oh1DJPi53FC7JyRWhz2/OJ1GRCR4RCZAs2EqZMhR7d27l8zM4juIMzMzycvLcyhR4HKZBq2ykqmXEc+PW/c7HUdEJGhEuk2GtauO21Srvr/SV6QsuTz+3RkS+tpfjZmUxf1f3s/efBWvRE7E4LqD8Vpq0yZH5/V6efTRR+nRowdNmjThlFNOYcaMGU7HCly25Z+dISIix67ZUHBr2KYcXd26dXnxxReLXfbiiy9Sp04dhxIFNq/P4vz21Z2OISISVE5vWokK0VpUcTSGbdu20yFClm1DzjZ4qCHoxFzoiojDe9PPrNz9I+e/fT42+pESOV7R7mg+HPQhsZ5Yp6NIgJo4cSIfffQRl156KZmZmWzatImZM2fSv39/rrzySqfjBaa8ffBgHSg86HQSEZHAZxhw7TeQWA0Mrf2TI3355ZdcfPHF1KtXj6pVq7Jx40bWrl3LjBkzaNGihdPxAlJeoY82E99n30GdFxERORZvXduZuhnxuEy1mPorHZ2VJcOA+AxoeJbTSaQsDZ6N4fIw/ovxKmSInKDeNXoT445xOoYEsDfeeIOnn36aQYMG0blzZ4YOHcqTTz7JnDlznI4WuCLjofHZTqcQEQkONbtDUpYKGfK3WrVqxX//+186depEbGwsPXv25M0331Qh4x9EuEwGtarqdAwRkaDQoloiDSolqJDxN477CG3Xrl2lmSN0WT7odL3TKaSsZHXGl9WFZ75/hrV71jqdRiToDas/TEVB+Ue2bZOamlrssipVqqCNpv/Atv3HIjoxJyLy7zrdAD6tHpd/lpWVRbdu3WjXrh0tWrQ4YoaGFGcYMLxzNh6XTsyJiPybK7vVwuuznI4RsEr0qtbr9fLQQw/RsmVLunfvzqZNmxgwYADbt28vq3zBz3RBeiOo0cXpJFIGrLNn8fvB33lixRNORxEJes3TmlM7qTamTrjKPxg2bBh33HEH+/btAyA/P5/JkyczcOBAh5MFMNOE5Gyo19fpJCIiga1KK8jqCC6300kkgO3YsYOzzz6boUOHMmHCBM4//3z69u3L1q1bnY4WsAzDIC0hirOaV3Y6iohIQKudFsfJDdJxu3Re5O+U6CszdepUFi9ezCOPPILH4yElJYWMjAwmTJhQVvlCg88LHUc6nUJKW697MGNTuWfJPRz0qg+5yIm6tPGlGvwt/2revHksWLCAdu3a0b59e1q2bMkLL7zAE088Qf369Yve5C8sH3S5yekUIiKBrfON4Ct0OoUEuHvvvZesrCyWLFnCZ599xpIlS6hfvz6TJk1yOlpAs2ybq0+qhbqmiIj8vSu61dSujH9RoiUn8+fPZ86cOaSnp2MYBjExMUyaNImePXuWVb7Q4HJDrZP9OzS2rXQ6jZSG+Ey8bS/nk00f8tGmj5xOIxL0GqQ0oEsV7WCTf3f//fc7HSE4mS7IbALZJ8G6D51OIyISeNLqQ93TnE4hQWDx4sW88847xMbGAhAfH8+4cePo0aOHw8kCm2kYVE+J5ZSGGby9UrtYRET+qkpSNGc2q6xZGf+iRMWMAwcOkJycDFDUmzoqKgrT1NaXf+UrhC43wtwLnU4ipWHIi/hsm4lLJjqdRCQkXNXsKryWF7eptg7yz9q0aXPUy3ft2lV0jCJ/w+eFrjermCEicjQdr/e/ZnN5nE4iAc6yLAyj+IkmwzDwePR/59/4LItre9RWMUNE5Cgu65x96Hy7ihn/pERViGbNmvHYY48BFP3xfu6552jcuHHpJws1Lg80OBNSajmdRE5UwwHYmU35zzf/YWuuDsJETtThXRkqZMixWLFiBeeeey49e/akR48e9OjRgy5dutCli3b2/CuXG6p38PeEFxGRPyRWh8YDVciQY9K2bVvGjRvHgQMHAMjNzWXcuHF/u+BC/uAyTepnJtCldkWno4iIBJSKcREMaVNNszKOgWEf3mJxDDZt2sQFF1yA1+tl586dVK9endzcXGbNmkV2dnZZ5gwNPi989zL89wqnk8jxMky8o39hU95O+r/eH6+t/v4iJ+o/Pf5Dh0odVMyQYzJw4ECqVq1KYmIimzZtomPHjjz77LOcf/75XHTRRU7HC3y+Qlj7PswZ7HQSEZHA0fsBaHmRBn/LMdmyZQsXXXQRmzdvJjExkT179lCrVi2eeOIJMjIynI4X8Lw+i+Ub9zBo+hdORxERCRg3nVKXEV1rqsXUMShRMQPg4MGDfPjhh2zZsoWMjAy6detGXFxcWeULPZYPHm0GezY6nUSOR/+noMkgzn/7fL7e/rXTaUSCXsOUhrzY90WnY0gQadq0KUuWLOHXX39lwoQJzJo1i2+++Ya77rqLV1991el4wePxdrB9ldMpREScF5cG160Ed6TTSSSIeL1eli1bxq5du6hcuTKNGzfG5XI5HSuo9H/8c5Zv3O10DBERx8VHull8Ww9iI7Wo4liUeO9KdHQ0vXv35tJLL6Vv374qZJSUbUPH65xOIccjtR6+Rv15bc1rKmSIlJLDszJEjlVCQgJRUVFUrVqVNWvWAP42mJs3b3Y4WRDxFUL3O51OISISGDrfCKZOQsuxO+uss3C73bRv354+ffrQrFkzXC4X3bt3dzpa0PD6LG4+ta7TMUREAsLwrtlEeXQscqyOqeTTokULli9fTr169Y4YdHXYqlVa3XdMXG5ocQF88RjsWud0GikBa8iLHPAeZMpXU5yOIhISGqY0pHOVzk7HkCCTnZ3NnDlzGDJkCDExMaxatYqIiIi/PT6Ro3B5oF4fqNIafl3mdBoREeckZUGrS0CtLuVfbNy4kWnTpgGwdu1abr311mLX5+TkkJeX50S0oOR2mbTLTqFL7YosWvO703FERByTGh/JZZ2z1V6qBI7pqO3JJ58E4JlnntHJglJhQ8+74KVznQ4ix6rdlZjJNbjvszvZk7/H6TQiIeHwrgzNypCSGDlyJFdccQUdO3bkkksuYdCgQbhcLoYMGeJ0tODi80Kvu2HmqU4nERFxzkl3OJ1AgkS1atVISkpi9+6jt0VKTk7moYceKudUwc1rWdzWpz6fPPIJJWt+LiISOq7tXhu3S+faS6LEMzOkFM08FTZq6FXAi4jDe9Navt+9mvPePg8b/ciInCjNypDjtWnTJtLS0vB4PJimyYoVK9i/fz8dO3Z0Olpwen4grPmf0ylERMpfRmMY8anTKSQIPf7441x55ZVOxwgZ1875mje+3eJ0DBGRclc9JYYPbuimXRkldEzFjO7du//rjoyFCxeWWqiw4PPCtpXwVDe0DCHAnfdffNldOPuNs1mzZ43TaURCwrQe02hXqZ12ZUiJdejQgffee08zu0qD5YXf18C09joWEZHwc+6rUKOLv/WeSAlt376djRs38tfTKa1bt3YoUXDyWTZb9+bR7YEPKfTpWEREwstjQ5tzasMM3K4Sj7QOa8d0Fumaa64p6xzhx+WGSs2g0QD47hWn08jfqd4RX40uPPP9MypkiJSSthlt6VSlk9MxJEglJiaybds2FTNKg+mGtPrQ+GxY8bLTaUREyk9WJ6jVw+kUEqSee+45Jk+ejM/nK3a5YRiaJVpCLtOgUmIUg1tX47nFvzgdR0Sk3DSqnEDfJpWcjhGUjrvN1K5du0hOTi7tPOHFsiBnGzzaDLwaFhaIfDetYacBfV/ry0HvQafjiAQ9l+Fi3hnzyErIwmW6nI4jQWjkyJF8+umnNGvWjLS0tGLXTZo0yaFUQcyyYP8W/7GIr9DpNCIi5eOyDyGziQZ/y3E5+eSTueyyyxgwYABut/4PnSjbttl9oJBO937AgQLfv3+CiEgImH1JG9plp2hXxnEo0VfM6/Xy0EMP0bJlS7p3786mTZsYMGAAO3bsKKt8oc00IT4d2qnfZkDqeReu2DTuWXyPChkipaR/7f7UTKypQoYct5iYGHr16nVEIUOOk2lCQiVodYnTSUREykf906FyCxUy5Ljt2rWLs88+W4WMUmIYBonRHi7tXMPpKCIi5aJDzRQ61U5VIeM4leiv79SpU1m8eDGPPPII119/PSkpKWRkZHDPPffwyCOPlFXG0GaY0OUm+PpZyP3d6TRyWFw63nZX8Nmmj/lw04dOpwkL1gYL30c+7N9t8IBZz8TV3YXhMfB96cO3zAc5QBy4WrtwtTr6yXC70Mb3vg9rtQU+MNINXD1dmGn+PxK+ZT58n/rABFdnF64W/vuxfTbe//PiPsuNkaLhS2Uh3hPPyBYjsW37X+cwifydwYMH07Rp0yMuX7RokQNpQoUB3e+Ela/oWEREQpsnGk67FywfaGGFHKc2bdqwZMkS2rdv73SUkGGaBledVIt5X21m8x4tJBSR0OU2De45qxFey8JtqphxPEpUzJg/fz5z5swhPT0dwzCIiYlh0qRJ9OzZs6zyhQd3BHS7DRaMcjqJHDb0ZXy2zYQlE5xOEhbsXBvvy15cp7owG5uQC945Xnxf+DAzTXyLfLiHuDEzTawtFt7ZXoyKBmbWkb/4fZ/4sHfZeIZ7IAJ8H/rwvuIl4soI7Hx/ocN9if9Xn3eGF7ORiRFhYC2zMGoaKmSUoeFNhxPniVMhQ07IRRddxPLly4tdlpOTw8iRI/n6668dShXkDAM8UXDyeHj9KqfTiIiUnU7XQ1yGChlyQtLT07n88stp27YtFStWLHadWl4eP5dhMKZvAy6f/ZXTUUREysyFHbOoUTFW50VOQImKGQcOHCiak3F41EZUVBSmKkknxnRDq4tg6ZOw40en00jDfliZTXh8+SP8lvub02nCghFr4BnpwYg0sG0b+4CN7bUxY0zM2iaeqw5dZ9lweKFO1NHvy95pg80fbwYYnkN/JP78q+rQdRhg77OxvrNwX6it4mWlRoUanFf/PLWXkuPyyy+/0KdPH3w+H7ZtU79+/SNu06JFCweShRDTDc3Pha/+D35d5nQaEZHSl5ztL2boWEROUEFBAX369HE6Rshxu0xOaZRBl9oVWbRGO0VFJPSkxUdyQ8+6KmScoBINAB8xYgR169bl+uuvp02bNixdupQZM2awZMkSnnzyybLMGfp8hbD+Y5g9wOkk4c0w8Y3+hY15O+n/Rn+8ltfpRGGnYGoB7AejqoH7HDdGhP+XvL3TpvDJQrDBbGPiPvnohQfrFwvvq15/0cMAYsAzzINR0X8/vuU+fJ/5wABXFxeuJi4KXy3E1diFWVuF2bIyo9cMWqS3wK3+1HKcVq1axb59+xg+fDhPPfVUsesiIyOpU6cO0dHRDqULEZYXtv8I0zuDbTmdRkSkdA17BbK7gcvjdBIR+Rs+y2bznoOc/ODHFPh0LCIioeXRIc3p3ShDszJOUImKGZs2beKCCy7A6/Wyc+dOqlevTm5uLrNmzSI7O7ssc4aP2QNg7ftOpwhf/aZD08Fc+M6FfLVN21udYBfakAfe173gBs9g/wtO2+f/VWVvt/HO9frnZrQ/cmWdtd7CWmXh6uzyt5n6wIf1i4XnUg+G+8jqt7XOwrfch7uPG+/bXtgFRhX/nA3DpWp5aTgl6xQe6PqA0zEkRGzatImqVasWfZyTk0NERAQREREOpgoxC26AZU87nUJEpPTUPQ2GvOh0Cgkhn332GbNnz2bbtm1Mnz6dmTNncsMNN2goeCmwbJsH3v2Jxz/62ekoIiKlpl12Mi8O16yl0lCiUlDVqlVZsGABo0eP5vrrr+fKK69kwYIFKmSUFssHZ0yFiDink4Sn1Lp4Gw/k9bWvq5DhIMNjYMQbuLq7sNfZ2Af9RQzDZWC4DMxME1drF9b3R67UsX023te8mE1NjHgDI9LA1csF+8Fef2Td1vba+D7w4e7pxve5DyPKwH2JG3uPjfWtVgKVhhh3DLe2uRVLq7yllBQUFHDVVf65Dv/73/9o164dnTt35quv9Hu7VNg2nDwOYlKcTiIiUjrcUdD7Qf9rLZFSMH/+fG666Sbq1KnDL7/8AsAHH3zAlClTHE4WGkzDYOTJtalU4W/6CouIBBm3aTCxX2O8ls6LlIYS72uJjo6md+/eXHrppfTt25e4OJ14LzWmC+LSoeddTicJS/bgFznoPciDXz7odJSwY/1qUfBEQdHuCwC8gAusbyy8r/2l3ZePo8/MKADyDn3uYSb+dlNHaY9sLbYwG5gYFQzsHTZGpoFhGBgZBvb2Y960Jv9gRNMRJEYmYhraRimlY+LEiSQkJGDbNlOmTOHaa6/l2muvZfLkyU5HCw2GAZ5o6Dne6SQiIqWj0/UQr6HfUnqefPJJHn/8ca6//npM0yQ1NZXp06fz5ptvOh0tZLgMgzGnN3A6hohIqbigg3/ot1szp0vFMe2BrFev3r8OJ1m1alWpBAp7pgtaXwI//BfWL3I6TfhodwVGSjYPfD6W3fm7nU4Tdow0A7zg+9CH6yQX5PjbQ5lNTYwsA98iH74ffJj1TexfbXzLfLhOOfIFqRFtYFQx8H3owzjbgEjwfeyDaH/rqD+z99hYP/0x9NtINrA329hNbOwtNmYt/ZE5UfWT63N+g/M19FtK1U8//cQTTzzB5s2b2bhxI0OHDiU2NpYHH1QhutSYbmh+Hnz9PGz8wuk0IiLHr2Jt6DxKhQwpVVu3bqVp06YARedJqlevzoEDB5yMFVLcLpNTG2VyUt00Pvxpu9NxRESOW6UKUdzYS0O/S9Mxna179tlneeaZZxg+fDj16tXjscce44033mD69Ok0adKEK664oqxzhhfLB2dNg4hYp5OEB08M3h5jWbFjBa+tec3pNGHJiDDwnOPB3mFT+EghhbMLMbIMXCe7MDNN3P3dWJ9bFD5YiO8dH66eLlwN/C9KrY0WBfcXYO/176Rw93djJBsUPl1I4dRC7N9tPIM9RYPED/P+z4urxx9zMVwdXNi7bQofLoRIMJurmHEiPKaHyV0mY6MdLlK6vF4vtm3z2Wef0bBhQ+Li4ti9ezeRkZFORwstlhf6PwmeGKeTiIgcH8P0z8MreTMCkX+UlZXFwoULi132+eefU716dYcShSafZXP/wCYkRGsOiYgEr/vPbopH81hLVYkGgPfs2ZPZs2eTnp5edNmOHTs4++yz+eijj8oiX/iyfLD0SXhntNNJQt+5r+Kr2Y1B8wexevdqp9OIhITrWlzHRY0uUnspKXWjRo0iNzeXH3/8kUsuuYSTTjqJm2++maysLCZNmuR0vNCiYxERCWYdrvW379VKSClln3/+OVdeeSU9evTg/fffp1+/frz55ps8+OCDdO3a1el4IcVn2bz29a/cOHeF01FEREpsSJuqTOrfxOkYIadEZ5l27dpFQkJCscsiIyPZv39/qYYS/Fuh214O1do5nSS0VeuAL7sbz37/rAoZIqWkaWpTFTKkzNx99900atSIYcOGcf7555Obm0vDhg258847nY4WekwXtLsCqndwOomISMlUrAM97lQhQ8pEhw4dePHFF0lISKBt27ZYlsXMmTNVyCgDLtNgYMuqnFQ3zekoIiIlUjkxmjF9G1KCPQRyjEq0M2PEiBFERERw0003kZGRwaZNm5g8eTJxcXFMmTKlLHOGJ8sLe3+Fx9tB4UGn04Qk341r2GlC39f6ctCrr7HIiYpyRfHama+RGZupWRkiocDywr7f4D9toFC9wEUkCJguuHQhpDcGl9rTiAQ7n2Wz+0AB3R/8iH0HvU7HERE5Ji9c2pY2NZJxu7TIs7SV6Oju7rvv5rrrrqNnz55Fg0s6duzIHXfcUSbhwp7phgpV4aTb4T19jUtdj3G44tKY8OFIFTJESsnIFiPJjMvEZaiQIWVj27ZtTJs2jQ0bNmBZVrHrnn32WYdShTDTDQmV4OSx8PYtTqcREfl37a+BzKb+mRkipeyTTz6hoKCAHj16cNppp1FQUABAeno6zzzzDB6Px+GEocdlGiTGeBh3ekNGvfyt03FERP7V0DbV6FCrotMxQlaJjvBSU1N5/vnn+eCDD3jhhRd47rnnqFSpEt27dy+rfGK6oP1VUKWV00lCS2wq3g5XsejXRXyw8QOn04iEhNYZrTm3wbkqZEiZuvXWW1m+fDlNmzalTZs2xd6kjJguaDsCqnd0OomIyD9LrQvd71AhQ8rE559/zrXXXlvUZnvbtm1cffXVXHXVVWzdupV58+Y5nDB0uU2T/i2q0KO+2k2JSGCrkhTNnX0bqL1UGTqufbdbtmxhxowZfPzxx9SuXZubbrqptHPJn9kW9JsO0zqAN9/pNKFh6MtY2ExYPMHpJCIhIdYTy6ROk/BZPrWXkjL13Xff8e6775KcnOx0lPBief3HIo+3hYJcp9OIiBzJdEO/JwHNyZCyMWvWLMaPH88ZZ5wBgNvtpl+/fgCYpskrr7zC4MGDnYwY0nyWzb0DmnDylI/Zc6DQ6TgiIkcwDLh/YBM8LqOoo5GUvmNesmJZFm+99RZnn302l156KZ988gnTp0/n9ddfZ9iwYWWZUUw3JGf7203Jiat/BlalZjz+zTS25G5xOo1ISLip9U1UjK6oQoaUufj4eCIiIpyOEX4Ot5vq85DTSUREju6k2yGzieZkSJlZsWIF3bp1K/r4z6tue/bsyU8//eRAqvBxuN3UA2c3dTqKiMhRXd4lm3bZKZqTUcaO6av7zDPP0LNnT+6//3569uzJRx99RFxcHHXq1CnrfHKYYULHkVDnFKeTBDfDxHfmY2zct5FnfnjG6TQiIaFz5c4MqD1AhQwpF1deeSW33norK1asYMuWLcXepIyZLmh6DjQb6nQSEZHiavaAzqPUXkrKVEFBAfHx8UUfP/roo0Xvx8bGHjHLS0qf2zQ5uX46F3XMcjqKiEgxLaolcdMp9bQjoxwc07KVSZMmMXToUEaPHq3VkE6yLBgwA6Z1hD2/OJ0mOJ35OK6oCoz7aCRey+t0GpGglxqdyoROE/DZPs3KkHJxxx13APC///2v6EDRtm0Mw2DVqlVORgsPtu3fnbH5K9ihFagiEgDiM/yvkSyfv+gqUkaSk5PZsGEDNWrUAKB9+/ZF123YsIGKFTXstbzc3rs+X27YzXeb9zodRUSECtEepp3bwukYYeOYihl33nknL7zwAl27dmXQoEEMHTpUlSYnmCa4o2Dw8/B0D83PKKmU2nibnM2Cta/z1bavnE4jEvTcppuHT3qY+Ih4FTKk3CxcuNDpCOHNMPwtpwY9B092hcKDTicSkXBmmDBgJkTGq5AhZa5z587MmDGDe+6554jrZs6cWawFlZS9J85tyakPL2J/vhYpioizHhzUlJS4CFymzpWXB8MuwXj1L774gtmzZ/PJJ5/g8/mYMGECp59+Oi6XDhzLleWD5c/Cm9c5nSSo2NcsJzc+nd6v9mZ3/m6n44gEvdGtRzOk/hBMtXQQCT+WD75+DuaPdDqJiISzrrdAt9FqLyXl4rfffuOMM86gc+fODB48mPT0dLZt28bcuXNZtGgRCxYs0O6McuSzbN5Z+RtXvfC101FEJIxd1DGLsac3dDpGWClRMeOwzZs388ILLzBv3jxM0+SMM85g9OjRZZFP/slrl8O3LzqdIji0GQ6972fc5+OYt2ae02lEgl7vGr25t8u9TseQMNKiRQuWL19OvXp/34dUbaYc8MrFsFJ/V0XEAVmd4IL5KmRIuVq9ejVjxozhm2++wTAMbNumcePGTJw4kdq1azsdLyzd9up3vLB0o9MxRCQMNa5cgdeu7KCB3+XsuIoZhxUUFPDGG2/wwgsv8Oqrr5ZmLvk3tg2+AniyG2z/wek0gc0Tg/fmn1m152eGvTUMm+P+Ly8iQO3E2szpOweP6dGuDCk3X375Ja1atWLJkiV/W8xo06ZNOacKc7blbzP1RCfYtc7pNCISTmIrwhWLISZZ7aXEEdu2bWPr1q2kpqZSqVIlp+OELdu2KfTZnPHYp/y4db/TcUQkjMRHunnnui6kJ0SqmFHOTqiYIQ7zeWHfr/BEZ8jf53SawDVsHr5aJzFo/iBW717tdBqRoBbnieOV018hPTYdt3lMY5dEJJT5vLB7PTx1EuTrJIKIlAOXx78jo3JrcOlYRCTceX0W2/bn0+fRT9hzoNDpOCISBkwDZlzQms51KuI2Vcgobzr6C2YuN1SoAmc9Di+d63SawFStHb6aJzH7h9kqZIicIAODiZ0nkhGbgUurIMUha9euZfLkyWzatAmvt/jARw0Hd4DLDck1YMDTMGewf+eoiEhZOu1+qNpW7aVEBAC3yyQ9PpInzm3JuU8vwWvpWEREytZNp9SlW93Uv+0YIGVLOzNCxTu3wuLHnU4RcKwbV7PTNOn7Wl8OeA84HUckqF3a+FJGttCwX3HW2WefTVJSEieffDIej6fYdf369XMolWDb8MmD8MHdTicRkVDW+lLo86DTKUQkAFm2zezFvzDm9e+djiIiIeysZpV5eHAzp2OENe3MCBW97oYty2HjYqeTBI4eYzHj0pnw4XUqZIicoPaV2nNN82ucjiHC2rVrWbJkCREREU5HkT8zDOhyo3+OlwaCi0hZqNEFTrvP6RQiEqBMw+D89ln8+Nt+DQQXkTLRtEoF7h/YBNu2tSvDQdqbG0oGz4GkGk6nCAyxqXg7XMWnmz9l4Ua1HRE5EZViK/FA1wecjiECQPXq1cnJyXE6hhyNbcFZ0yCzmdNJRCTUJGXBObOdTiEiAc62be4+qxFtaiQ7HUVEQkxafCQzLmyNYaJChsPUZiqU+Lywb7N/COeBnU6ncdZlH1CQ0Zgz/nsGm3M2O51GJGhViKzAC71foFJcJQ38FkctW7YMgE8//ZRly5Zx8cUXU6FChWK3ad26tRPR5M8sr/8Y5IlOkLPd6TQiEgoi4uCyD/3zeVyef7+9iIQ1n2WTk+elz9RP+HX3QafjiEgIiHSbvHJFB+pnxON2aV+A01TMCDU+L2xbCbNOg8Iwba1U73Ssc55l6tdTefq7p51OIxK0olxRzDp1FvWS66mQIY6rV6/eP15vGAarVq0qpzTyj3xe2Pqt/1jEm+90GhEJZoYJg1+A2r3AdDmdRkSChNdnse73XPr95zNyC3xOxxGRIPfQOc04o2klXKZ2ZAQCFTNCkeWDnz+AOef43w8nhonvlg1syt9Nvzf64bW8TicSCUouw8UjJz1Cp8qdcOnkgYiUlOWD1W/DS+f520+JiByP3g9A60v8RQ0RkRLwWTaL1+3kwllLKfTptJeIHJ+bTqnLVSfVcjqG/ImOCkOR6YJaPaDvw04nKX9nPIYrqgLjvxivQobICbij3R10rtJZhQwJKLZts3Fj8YGOb731Fj5fmBXug4Hpgrq9oc8Up5OISLDqchO0uUyFDBE5Li7ToH12Cg8Oaoba24vI8bioY5YKGQFIR4ahyjChxfnQbbTTScpPSk28Tc9h/s/z+XLbl06nEQlaI5qOYGCdgZg6eSAB5MCBAwwZMoT77ruv6LKdO3cyevRozjvvPA4cCNPWioHMMKHVReF1LCIipaPlhdD9DqdTiEiQM02D05tkcmefBk5HEZEgc3qTTMae3tDpGHIUOlMV6rrd6n8xEAbsIS+T583jgS8fcDqKSNAaUHsAVzW7yukYIkeYNm0aHo+H8ePHF12WkpLChx9+iNfrZfr06Q6mk3/U7VZodYnTKUQkWNTrC30fAnVDFpFSYBgGF3eqwYiu2U5HEZEg0alWRR46pxmazBCYVMwIdbbtfzFQ51Snk5St1pdiVKzFlK+msCtvl9NpRIJS1ypdGdN+jP5gS0B69913ueeee0hJSSl2eUpKCuPHj+edd95xKJkckz4PQIMznU4hIoGuegc4exbYoL4wIlKaRp9Wn7NbVnE6hogEuMaVK/DU+a0wDANDxyIBScWMUHf4B2/Qs1CllbNZyoo7Cm+vu1n5+3e8svoVp9OIBKUmFZvwYLcHAfQHWwLSzp07qV69+lGvq1+/Pjt27CjnRFJiA2ZAVienU4hIoEpvCEPnguECUy9TRaR02bbN5AFN6F4vzekoIhKgslJieO6SNnjcBi5T50UClY4Sw4Fh+gdxDpsHKSE4uGbQc5juKMZ9Ph4brSgXKakaFWowrec03IZbczIkYMXFxbF79+6jXrdnzx6io6PLOZGUiGH634a+DJVaOJ1GRAJNcjac/zp4ovyvW0RESpl/lTVMO7cFbWskOx1HRAJMZoUoXrisHXGRbtxaVBHQ9N0JF6YbIuLg4negYh2n05SeKm3w1erB7B9m89Pun5xOIxJ0aiXW4rnTniPGHYNLJw8kgLVv357nn3/+qNe98MILNGvWrHwDScmZLnBHwgVvQGZTp9OISKBIyoKL3oaoJP9rFhGRMmIaBm7T5JmL29CqepLTcUQkQKQnRDJ3RHvS4iNxu3SqPNAZtpqjhxefF/L3wzN9YNv3Tqc5YdYNP7HL7abPq3044D3gdByRoFInqQ6zTp1FjDsGt04eSIBbv349/fv3p3///vTu3ZvU1FS2b9/O22+/zbx585g9ezaNGjVyOqYcC8sLBQfg/3rD1u+cTiMiTkqsBhe/C7Fp4NKxiIiUD59lUeC1Gfb0YpZv3ON0HBFxUGp8JK+MaE/lxGgVMoKEihnhyPJCQS48czr89q3TaY5f9zuhy41c/+H1vL/xfafTiASVBskNmHHKDKLcUSpkSNBYvnw5Y8eOZc2aNRiGgW3b1KlThzvvvJPWrVs7HU9KwvJCfo6/oBECiytE5DhUqOrfNR6XDi6P02lEJMz4LJt8r49hTy3h6017nI4jIg5IjYvk5RHtqZqkQkYwUTEjXFleKMyDZ8+AzV85nabkYivivf4Hlmz7khHvj3A6jUhQaVSxEU/3eppIV6QKGRKUNm3axK5du0hNTaVSpUpOx5HjdXhxxf/1ha0rnE4jIuUpsTpc/PahHRkqZIiIMw4XNM59einLNx59NpuIhKa0eH8ho4p2ZAQdFTPCmeUFXwE81x82fuF0mpK5dCEFmU04879n8mvOr06nEQkaTVOb8mTPJ4l0RWpGhog473DLqWdOh9++cTqNiJSH5Gy46C2IqahChog4zmfZFHgtzp+5hGUbVNAQCQcZCVG8PKI9lSpEqZARhPQdC2emG1yRcN5/oUYXp9Mcu3p9sCq34Ilvn1AhQ6QEWqS14KleT6mQISKBw3RDRAxcuAAqt3Q6jYiUtZRa/tZSMakqZIhIQHCZBhFuk+cuaUv77BSn44hIGaucGM0rV6iQEcy0M0PA8vlXRr44BNYudDrNPzNMfLdsYHPBXs56/SwKrUKnE4kEhdYZrZnWYxpu061ChogEHssLPi+8NDTwj0VE5PhUbgHnvgYRcRr2LSIBx2fZWLbNNXO+5p2VW52OIyJloE56HC9c2o7EGI8KGUFM3zkB0+VfGTnkJah7mtNp/tkZU3FFVWDcF+NUyBA5Ru0y2/HEyU+okCEigct0+1dpD30ZmgxyOo2IlLaaPeDCtyBShQwRCUwu08BlGDw+rAXD2lZzOo6IlLLWWUm8ekVHFTJCgL574me6/G/nzIYGZzqd5uhSauJtcg5v/vwmy7YuczqNSFDoXaM3j5/8OC7TpUKGiAQ20wWGC/o/Be2vcjqNiJSWxmfDsJfBFeEvXIqIBCjTNDANgwn9GnPdybWdjiMipaRng3Sev7Qd0RGmChkhQG2mpDjb8v/77m2weJqzWf7CvvpLDiRk0ue1vuzM2+l0HJGAN6LJCK5qfhW2bWMYhtNxRERK5rNH4P2xoENVkeDV/io4ZaL/51jHIiISZJ5f8gt3/ncllg5FRILWOa2rMqlfYzDA1LFISFA5SoozTP/bqZOh78OBs3qq1cUYFWvz4FdTVMgQ+Rce08PEThO5qrl/ZbMKGSISlDqOhLOeCJxjERE5doYBPe/yFzIOfywiEmSGtKnGtGEtiXTr1JlIMLq6ey3uHdAEQ4WMkKKdGfL3bAs2fAYvnwcHdzuXwx2F95b1/Lh3HUMXDMVG/2VF/k5CRAJTu0+lWVozTEMH3SIS5GwLfv4AXr4ACnKcTiMix8LlgdOnQrMhTicRETlhPstm+cbdXPrMl+w9qLmdIsHAZRqMPb0B57fPcjqKlAEVM+SfWV7Y+yvM7g87f3Ymw9CXsGr34pw3z+HHXT86k0EkCFSNr8r0ntPJjM3ErZXMIhIqLJ//GOSFs2H3BqfTiMg/ia0Ig+dA5VZgalGFiIQGr2Xx2548Lpy1jJ93aHGFSCBLiHbz+NAWdKhVUbsxQpSOMOWfmW5IqALDP4YaXcv/8au0xlerJ8+vel6FDJF/0DytOS/2fVGFDBEJPaYLkmvA5Ysgq7PTaUTk72Q0hhGfQqUWKmSISEhxmyaZFaKYf01HTqqb5nQcEfkbNVNjefOazrTLTlEhI4RpZ4YcG8vn//etG+HLmeX3sDf8yG53BH1e60NuYW65Pa5IMOldozf3dLoHExOX6XI6johI2Th8LPL2zbDsaWeziEhxDc6CftP9C6FcWlQhIqHJsmww4N63f2T6onVOxxGRP+lWJ5X/DGtBpNvE7dKiilCm764cG9Plf+v7kH84eHmcMO1+B2Z8JhOXTFQhQ+RvXN7kcu7tci9uw61ChoiEtsPHIn0ehD5T/H35RcRZhgHdboVBz4ArQoUMEQlppmlgGga39q7Pw+c002BwkQAxvEs2My9qTZTHpUJGGNDODCk524J1H/mHcebvK5vHiEnBO2oVS7d9xeXvX142jyESxCpEVmBip4l0qdLF6SgiIuXPtmDjYnjpXDiw0+k0IuEpIhb6PQn1+viLGiIiYcRn2fzw2z4ufWYZ2/blOx1HJCxFuk0mD2hCv+aVnY4i5UjFDDk+ltc/hHPOEPh9denf/yXvU1CpKWe+fia/7v+19O9fJIg1TW3KlG5TSI5K1nwMEQlflhdytvkLGpuXO51GJLxUrA3nPA8ptcpnx7aISADy+iz2HCzkqueXs2T9LqfjiISVKknRTDu3JQ0yE3CZWlQRTrT3Ro6P6YbELP+Qv5YXlu591+2NVaUl01dMVyFD5E8MDC5seCHPnPoMKVEpKmSISHgz3RCXDpf8D9pf5XQakfDRdDBc/ikk11QhQ0TCmttlkhQTwZzL2nFN91rofKpI+TitUQbvXteF+hnxKmSEIe3MkBNj2/5t5avmwxvXwMHdJ3yXvlt+YXPhPs56/SwKrcJSCCkS/CpEVmBSp0l0rtLZ6SgiIoFp9bvw2uWlciwiIkcREQu9H4BmQ/2t3gytixMROcy2bRav28W1L37Njv1qOyVSFiLdJnf0qc957bOwbBtTbS7DkooZUjosL+T+Dq9cDL98dvz3c8aj0OICLnn3EpZuXVp6+USCWNPUpjzU7SGSopK0G0NE5O8cPhaZe4F/noaIlJ70hjDoOUjK0m4MEZG/4fVZ7M/zcs2cr/l07e9OxxEJKTUqxvLEuS2olabdGOFOxQwpPZbPv0tj0QPw8b3+kwolkVQD79XLePeX9xj9yeiyySgSRA63lRrZciTY4NLJAxGRf2Z5AQM+nACfTvHvIBWRE9PyQjjtPjBc4NKiChGRf+KzbAwDHv/wZx56fzU+S8ciIifqzGaVuHdAE9ymgdulnaHhTsUMKX22BVu+9u/S2L3h2D/tqmUcSKxMn1f7sDNvZ9nlEwkCiZGJTOo8iU6VOzkdRUQk+Ng2rF/kbzu1/zen04gEp6hE6PsQNOr/R2tZERE5JpZt883GPVz74tf8uvug03FEglJshItxZzTk7FZV1VZKiqiYIWXD5wVfPsy/Fr575d9v3/IiOP1h7l58Ny//9HLZ5xMJYN2rdmds+7EkRCaorZSIyPHyecF7EN66Eb590ek0IsGlzilwxn8gJgl0LCIicly8PotCn809C37g+SUbnY4jElQ61EzhwUFNSYuPUlspKUbFDCk7hwcDfvsiLLgBCnKOfjt3FN6b17N6/waGLBiCZVvlm1MkQKREpXBb29voldULy7YwNVhTROTEHD4WWf2uf4HF/q1OJxIJbFGJcOpkaDbE30JWLS5FRE6IbdsYhsEXP//OjXNXsHmPdmmI/JPYCBe39q7Pue2q47MsXKbOi0hxKmZI2bN8sG8LvH4VrP/4yOuHvIhV5xQGvzmYVbtWlX8+kQBwevbp3Nb2NqLcUdqNISJS2g7v0lhwA6x4yek0IoGpdi848z8Qk6zdGCIipezwLo273/yBF5Zql4bI0bSvmcKDZzclPUG7MeTvqZgh5ePwyq5v5sB7t8GBXf7LK7XEd+n/mPPjHO5ddq+zGUUckBGbwbj24+hYuaN2Y4iIlKXDuzR+ehvmj4ScbU4nEgkMURXglEnQfJh2Y4iIlKHDuzQ+W/s7N839li1785yOJBIQYiJc3HpaPc5rn6XdGPKvVMyQ8mV5IT8H3r4ZVryENWoVuz2R9HmtD7mFuU6nEyk3Bgbn1D2HUa1G4TE92o0hIlJefF4oPOA/Fvl2jtNpRJxV9zQ4/RGISdFuDBGRcuL1WRT4LCYsWMWcpRuxdFZOwlinWhW5b2AT7caQY6ZihpQ/ywLThF3rIbkGN350I+/+8q7TqUTKTVZCFnd3vJtmac2KVueIiEg5OnwssmkpvHk9bFvpdCKR8pVUA3rfD7V7ajeGiIgDDr8O/H7zXm577Tu+/XWv05FEylVmhSjG9G3AaY0ztRtDSkTFDHHOoRdOT3z7BDO+m0GeT1ssJbR5TA/nNzifq5pdhWEY2o0hIuI0n9df1Fj6JHw4EfJ0IkFCnDsKOl0PnUcBBrg8TicSEQlrXp+FaRq8vGwT977zI7sPFDodSaRMeVwGl3bKZuTJtXGbBm6XihhSMipmiOMs22L7ge1MXDKRDzd96HQckTLRvWp3bm5zM5mxmZqLISISaCyfv5Dx7m2w4kXQ4bGEorqnQe8HIT7TX8QTEZGA4bUsDhb4mPz2j2o9JSGrc+2K3HNWI6omx2CqQ4Ucp4ArZvh8PgoLVYkOJhEREZgn+ILo8ODjTzd/ysQlE9m0f1MppRNxVu3E2oxuM5o2mW3wWT5cauMgIhKY1HpKQpVaSomIBIWi1lNb9nL7ayv5ZtMepyOJlIpKFaIYc3oDTm2Uic+yNRtDTkjAFDNs22br1q3s2bPH6ShSQqZpUqNGDSIiIk74vryWF4C5q+fy5Ion+f3g7yd8nyJOSI5K5qpmVzGwzkAs21JLKRGRYHG49dTy5+CjSbD/N6cTiRyf6CTofAO0vRwwwaVjERGRYOD1WbhdJq99vZkH3/uJX3cfdDqSyHGJj3QzvGs2wztn41JLKSklAVPM+O2339izZw9paWnExMRoIG6QsCyLLVu24PF4qFatWql937yWF5/t47kfnmPWylnsK9hXKvcrUtai3dGc3+B8Lml8CRFmhHZiiIgEK8vrX8W+eBp8+hDk7XE6kcix8cRAuyv9czHcUdqJISISpLw+C4DnFv/CYx+sZWdugcOJRI5NpNvk3HbVGdmjNrGRbu3EkFIVEMUMn8/H6tWrSUtLIyUlxek4UkJ79+5ly5Yt1KpVC4+ndIcI+iwfeb48nlrxFC/8+AIHvVqRIIHJZbjoV6sf17S4hsTIRM3FEBEJFZYPCg/AJw/CkiegUMciEqBMN7S4AE66DWKSQcciIiIhwWtZFHptpi/6macWrSO3wOd0JJGjMg0Y0KIKN55Sl9T4SAzQYnUpdQFRzMjLy2P9+vVkZWURHR3tdBwpoYMHD7JhwwZq1KhBVFRUmTyGZVvszd/L4988zitrXilqRyXiNNMwObnayVzb4lqqJ1Qvmv8iIiIhxrYg93f4cAJ8/Zy/yCESCAwDGvSDk8dBYrU/LhMRkZDis2z25xXy8PtreGHJRgoO7dwQCQQ9G6Rz62n1yE6Nw7JsTO3GkDISUMWMsjwZLmWnvL5/h/+rbjuwjUeXP8qC9QuwbP3xFme4TTd9s/syvMlwqsZX1XBvEZFwYFv+1e671sPHk+G7V/ztqEScYBhQtw90Gw0ZjTXcW0QkDBw+L/Lb3jweXbiGV5dvVlFDHNWtbirXnVybZlWTNNxbykXAFzPK+wdBP3glV97FqMMr39fvXc9/vv4P7298H5+t1ZFSPqLd0fSv3Z9LGl1CakyqdmKIiISjwyeN922BT6fA17PVfkrKj+mGxmdDlxshpZa/oGZquLeISDixbBsD2JlbwBMf/8ycJRvVfkrKjcs06N0og6u716ZuRjxey8Jt6ryIlI+AL2YAjHzxa9ZuzynzHLXS4nhkcPMyf5xQ49TOmsMr4bflbuPZH57l1TWvklNY9v9PJDwlRCQwuN5gLmh4AXGeOAwM9X4UEQl3tgUY/uHgn0+FZU9D3l6nU0mo8kRD8/Og0yhIyNRODBERwbZtbCA338vMT9fzf59vYPeBQqdjSYiKcJkMaFmZq06qRZWkGC0IF0cERTGjz6Of8P2WfWWeo2GlBBZc27lEn1O3bl0iIyNxuVzYto3H46FVq1aMGTOGzMxMAPr06cPll1/OGWecURaxHed0mzD/H2+bfF8+c3+ay/OrnmdL7pZyzyGhKSUqhfMbnM+Q+kOIdEVqF4aIiByd5QNvHix9EhY/DjnbnU4koSKqArS+DDpc7X8fNNxbRESO4LNsCn0Wzy/5hacWrWfrvjynI0mIiI1wMbRtdS7vmk1KbAQ2YGpxpzhExYw/Od5ixrPPPkvbtm0ByMnJ4cYbbyQnJ4fZs2eXRcyA43Qx48+8lhfTMHn/l/d59odn+XbHt47mkeBVPaE659Y/lwG1B2AapuZhiIjIsbG8/h0b377kL2xsXeF0IglWKTX9RYwWF4A7UrswRETkmHgtC2x4c8Vv/N/nG/hm0x6nI0mQqpIUzXntqjOsbXViIlwYBupQIY5Tc9VSFhcXx6BBgxg1alTRZd27d+fqq6+mf//+LFu2jEmTJrFx40aSkpLo1q0bt9xyC263m127djFx4kQ+/vhjTNOkQ4cOjBs3jgoVKrB582buv/9+lixZgmmatGvXjltuuYW0tDQAvv/+eyZPnsyPP/5IUlISQ4cO5YILLgi7XzLuQ/2Cu1frTq+sXqz8fSWzVs5i4caFmqsh/yrCjKBn9Z6cXfdsWqa3xGt5i/5PiYiIHJPDfzeaDoYW58GmpbB4Gqx6Q8PC5d8ZJtQ6GdpdATW7g88LLh2LiIjIsTs8u6Bvk0zOal6ZlZv3MvOz9SxY8Rv5Xg0Ll39mGNCxZkUu7JhF93ppWLateRgSUPS/sZTt3buXBQsW0KtXr6Nef/PNN3Peeefx5ZdfMmvWLN555x0WLlwIwMiRI8nJyeG9995j4cKF7Nu3j/Hjx1NYWMjFF1+My+Xivffe4+233wZgxIgReL1etm3bxgUXXMCpp57K559/zuOPP84LL7zASy+9VG7PO9AcPgFdP7k+D3Z7kHcHvMsljS4hPSbd4WQSiGom1uTm1jfz0TkfMbnLZJqlNgNQIUNERI6fy+P/t3ILOHsW3Lgaut8JidWczSWBKS4NOt8A16+EYXMhq4v/chUyRETkOLld/lN+9TMTmDKoGUtvP5lbT6tHVkqMw8kkECXFeLisczaLbjqJ2Ze2pVudVEzDUCFDAo6OjkvBiBEjcLlcWJZFbm4u8fHxTJ8+/ai3jYyM5O233yYxMZHWrVsX7cLYvHkzS5cu5Z133iEpKQmAyZMns2fPHr788ks2bdrEvHnziIuLA2D8+PG0adOGlStXsmzZMmrWrMmwYcMAqFWrFpdccgmzZ89m8ODB5fNFCFCHWwOlxaRxTYtruLbFtSzbuoz/rv0vCzcu5KD3oMMJxSlRrihOyTqFc+qeQ+PUxsV2YaillIiIlJrDhfGYFOh0HXQeBT9/AF/9H6x5D7z5TqYTJ5kuyD4JWpwP9foAxh+zMFTEEBGRUnJ4QHOFaA+XdKrB5V1r8sXPv/PCko38b9U28gq1WyNcmQa0y07hnNZV6d04E5dhcLjBy+FimEig0VFyKXjiiSeKZmbk5eXx/PPPc8EFF/DSSy/RsGHDYrd95plnmDp1KuPHj2fHjh107tyZcePGsWPHDgAqV65cdNvU1FRSU1P56aefSEpKKipkgL+dVWJiIps3b2bz5s18//33tGrVquh6y7JwuXRC9jDDMHDh/3q0Sm9F28y25HnzeG/De7zx8xss27YMy9Yf8HBQN6kuA+sM5IyaZxDjicFn+duPObkLY8yYMcyfPx8Ar9dLYWEh0dHRRdc/9dRTxX6+RUQkSB3+W1Ojm7+VUH4OrJwH370Mv3wGzo+yk/JQuQU0HgRNzoGYZPAV/vF/Q0REpAwdPkHdukYy7WtW5GCBj7dW/sZryzfz+c+/Y+lQJCw0yEzgrOaV6d+iMhXjIvH6LBUvJGjoqLmURUVFcckll/Dkk0/y+eefFytm5Ofns3btWsaNG4fb7Wb9+vXccccdTJw4kdtvvx2ALVu2kJWVBcDatWt588036dq1K7t37yYnJ6eooLF//352795NamoqGRkZtG3blhkzZhQ91u7du8nNzS2/Jx5EDq+6j3JH0Tu7N2fUOoMdB3bw+s+v88bPb7B+73qHE0ppy66QzcnVT+bUrFOpnVQ74HZh3HXXXdx1110AvPrqqzz22GN88MEHDqcSEZEyc3jVfWQcNBsKLS+A/Vvh2zmw4mXY/oOz+aT0JWdD47P93++kLH8B43ArssP/ioiIlJPDrYOiI1yc0bQSA1pUYWdOPq99vZnXvt7M91v2OZxQSlvlxGjObFaJgS2rkJ0aV6yAoUKGBJOgKGbUSov79xsFyON4vV5ef/119u3bR8uWLYtdZxgGo0aN4pJLLuHiiy8mNTUVt9tNUlIS6enpdOzYkfvuu4/Jkydjmib3338/cXFxNG7cmFq1ajF27FjGjRsHwLhx46hWrRotWrSgcuXKPPXUU7zxxhv07t2bXbt2cc0115Camspjjz12ws8plB0+oZ0ak8qFDS/k0saXsmrnKl7/+XU+3vQxv+b86nBCOV4NUhpwcjV/AaNqQlV8lg/zUOuGYJqF8dNPP/HAAw/w7bffEhUVRffu3bnhhhuIj4/n1VdfZfbs2SQmJrJixQrGjh1Lz549mTRpEm+//TbR0dH069ePN954g0mTJtG2bVt+//13Jk+ezBdffIFhGHTv3p2bb76ZuLg4lixZws0330yrVq34+OOPGT58OCeddBLjxo1j9erVxMXF0aZNG+68807i4uIoKChg2rRpvPHGG+zfv5+mTZtyxx13UL16dQDq1q3LHXfcwezZs9m+fTt169Zl/Pjx1K1b1+GvqohIADl8Ijs+A9pfA52uh+2r4NsX4cc3YedaZ/PJ8atQFer19u/AqNzSPwDeOLSIQgUMEREJEJ5DJ7JT4iK5sEMWl3bOZsPvubyy/FfeXbmVNdtzHE4oxys9IZKe9dM5q3llWmUl47NsTLWRkiBn2Lbz+9nz8vJYv349NWrUICoqqth1Pssu6u9XHkr6eHXr1iUyMrKopZNhGGRlZXHZZZdx2mmnAdC9e3euvvpq+vfvz/Lly7n33ntZu3YtLpeLLl26MHbsWOLj49m1axeTJ0/ms88+w+v10r17d26//Xbi4uL47bffmDx5MsuWLaOgoIAOHTowevRoKlWqBMDXX3/NAw88wJo1a3C5XHTr1q3oc8vaP33/gtHhdlOmYfLLvl/4YOMHLPp1Ed9s/wav7XU4nfwd0zBpntacHtV6cErWKaTFpBXbgREs/rwzY/fu3Zx66qn079+fkSNHsn//fm688UZiYmKYNm0ar776KrfeeiuTJ0+mT58+WJbFxIkTWblyJf/5z39ISEhg/PjxvP766zz77LO0bt2awYMHk5WVxZgxYygsLOTWW28lJiaGKVOmsGTJEs4//3yuvfZahg8fTn5+PiNGjKBdu3ZcddVV7N69mwsuuID+/ftz0UUXce+997J48WIeffRR0tLSeOqpp3jttdd46623iIyMpG7dujRv3pypU6cSFRXFtddei2maxXaRiYjIUdiWv+WU6YJd6/1FjZ/egk1L4FB7RAlAhgGVmkOd06D+GZBWr/j3UkREJEjYto1l++dtbNlzkHdWbuV/q7axbP0uvOpFFdAaVkrg5PrpnNIwgwaVErBsG9umXM+tipSlgC9mSOAL9e/f4RPiuYW5fLr5Uz7e9DGfbv6U3fm7nY4W9qJcUbRMb0mPaj3omdWTxMjEoCxg/NmfixmvvPIKDz/8MB9//HFRwXTt2rX06dOHTz/9lE8++YQxY8awYsUKTNOksLCQ1q1bM3XqVDp37gxATk4Obdq0YdasWURHRzNkyBCWLl1KbGwsAOvXr+fUU09l8eLFrF69mvPPP59FixaRnp4OwCWXXEJOTg4XXngh7du3JyEhAdM0sW2bFi1a8OijjxY9lm3bdO3aldtvv51TTjmFunXrMmXKFPr06QPAyy+/zPTp01m4cGF5f1lFRILb4ZZEeXvhp3f8hY2fF0L+fqeTiScaanSFuqdBvb4QWxF8Xn/xwtBJAxERCQ2FPguPyyQ338sHP27jfz9s56PV29l3UAs+nRbhMmlfM8VfwGiUTlp8FF7LOjTMW8ciEnqC94yfSDk5fGI81hNbtOrfsi1+2PkDH276kEW/LuLHXT86nDI8RLmiaJbWrGiIe6OKjXCb7mIFjGAuZPzVzp07qVSpUlEhA6BKlSoAbN68GYDU1FTMQ/1O9+zZw8GDB6lcuXLR7ePi4khKSgLg119/xefz0bVr12KPExERwaZNm4o+TktLK3r/4YcfZurUqTz00EOMGjWKFi1aMG7cOJKTkzlw4AAjR44senyAwsLComwAFStWLHrf7XYTAPVzEZHgc7glUVQFaNQfmp7jP2H+61JY9xFs+BQ2fwnefEdjhgXTDZWaQVZnqNEFqncEd+RfZmCEzrGIiIgI/NGKKjbSzWmNMjm9aWV8ls03m/bw2drf+WLdTpb/spt8r+Vw0tDnMg0aZCbQLjuFDjVTaF8zhSiPq6jgBH/MRBEJRTrSFimBwyfKTcOkYUpD6ifX55rm17C/YD/fbP+Gb3Z8wzfbv+G737/joPegw2mDX7Q7mqapTWmd0Zq2GW1pWLFhUfHCZbiKVhmEUgHjzypXrsyWLVvw+XxFBY2NGzcC/iLGunXriq20SElJISoqii1btpCdnQ3AgQMH2L3bv4soIyODqKgolixZUnR/BQUFbNq0ierVq/PVV18BFN2nZVn88MMPXHPNNdx222389ttvTJo0idGjRzN37lwiIyOZOXMmzZo1K8qwbt26ol0dIiJSBv58wrxaO6jaBk66zV/I+PVLWP+Rv7jx65fgK3A0akgw3ZDZ1F+8yO4K1dr7d2NYXsCEwycLNANDRETCxOFZCy7ToEW1RJpWqcC1PWpT6LNYsWkPn/68k8UqbpQa04AGlRJon12RDjVTaFsjmZhIN75D7b4Ot4/yaAaGhInQPAMoUg4Mw8B1aIhjfEQ8HSt3pEOlDrhMF5ZtsW7POr7a/hXfbv+Wb3Z8w6b9m/7lHqVidEXqJdejeVpz2mW2o2FKQ1ymK2yKF3/VtWtXJk+ezAMPPFA0M2PChAm0a9eu2O6Lw0zTZODAgUydOpXatWuTkJDApEmT8Pn8/dWbNGlC9erVmTx5Mtdddx0ul4vJkyezcOFC3n///aPe3z333EObNm24+eabSU5OJjIykqSkpKLHevDBB7n//vtJS0vj9ddf5/bbb+eVV16hQYMGZf71EREJe4bpfwP/7oDq7aFaWzjp9j+KG78uhS3fwG/fwO4NDoYNEgmV/TsvMptC5dZQvR14Yv6YVXJ49kWYHIuIiIj8E8MwcLv+OJneonoSTasmMvJPxY0vf9nNys17+W7zXn7ZdQBt1v9nafGRNK5SgUaVKtCsaiJtaiQTe5TihWZgSLjSUbhIKTENE4w/3q+VVIvqFapzTt1zANiXv4+vt3/N19u/Zu2etazfu57NOZvx2eE3yDPCjKBmYk3qJNWhTlId6qfUp25SXRIiEwDCtnjxV/Hx8cyaNYvJkycXtYbq0aMHN998899+zg033MDdd99N7969iY2N5ZxzzsE0TTweD263m+nTp3PvvffSq1cv8vPzadKkCbNmzSIyMvKo9/fwww9z991306lTJyzLonXr1tx9990A3HLLLUydOpWhQ4eyZ88eqlatyqOPPqpChoiIU44obnTw79w4vGsgf7+/sLFl+R8Fjl3rHAobACpU/aNwUakFVG4B0f7WjPgKwXD9sfNCA7xFRET+1dGKG02qJhbtGjiQ72Xlln18++sevvt1Lys372X9ztywLXBkJEQdKlwk0KRKIk2rJpIcGwGA12dhGgamihcixWgAuJwwff+One/Qqj7XoRfEXsvL5pzNrN29lnV717Fh3wbW713Phr0b2F8Y/EM9PaaH9Nh0aiTUoE5SHeom16VBSgOqxFXBZbqwbbto3oUGU5WOZcuWUbduXRIS/IWhnJwcWrZsybvvvktWVpaz4URExHm27W+RdLjAUXAAdq6FHT/6/925Fnb+DLt+Do0B454YSM6GlFqH3mpCaj3/+1H+v5X4Cg8N7FZ7BhERkbLmPw9gFxU48gp9rP89lzXb9rP+91zW/Z7L+t9z2fB7Lvvygn/AeKTbJCsllhqpsWRXjKVGxVhqpcVRMzWOhGj/8dhfCxci8vfCc7mziENcf1nV5zbdVE+oTtX4qnSxuuD5U7/lPXl7+Hnvz6zbs47tB7ezK28Xuw7uYmfeTnbl7WLnwZ3kFOaU91P4I7vhJjUmlYzYDDJiM0iPSS96v0pcFTJiM6gQWaHo9l7Li4FR7GtgGEax5ywnbubMmSQkJDB+/HgMw+DRRx+lRo0aKmSIiIifYRSf7xARA5lNIL2Bv9Dx5+tyd8LONf63/Vv9bznbir/v5FwO0w1x6RCfDnEZEJ/5x/vJ2ZBax3/9Yb5DJ0T+OqBbxyIiIiLlxn8e4I+T9lEeF/UzE6iTHo9l28VmP+w5UMDPO3JZ/3sO2/bls31/Ptv25bF9Xz7b9+exY3++o3M5XKZBxbgI0hOiSIuPJC0+irQE/7/VUmKonRZHanwk5qHFm17LwraPnG/h1rwLkWOmnRlywvT9K1uFViHgLx78dfdCoa+QPfl72JW3i+0HthcVOg4WHiTfl1/srcBXgNf2YtlWsTfbtvG4PMS4Y4jxxBDjjiHaHV30fozH/3GsO5a4iDhiPbGkRKWQGJXob611iM/yYdkWLtNV7HIpX9u2bWP8+PF89dVX+Hw+WrZsye233061atWcjiYiIsHKVwjY/uLBX//G5+3zFzVyd0DeXv9ujoJcKMjxv+XnHPp4v3+Oh+UD2/rj7XBrrMNv7kiIiIPIOIiIhYj4P70fB5EJEJfmfzvcEuow2zo0mNs4lFWrG0VEREKB12dhA66j7F7Yn1fI7zkF/L4/n315heTke8nN95Fb4OVAvpecfB+5+V5yC7zkFfrPgfhsG8vy7xIxDAPTxL8zwoAIl0lspPvQm4uYCDdxkW5iIlzERbqJj3KTEhtJWkIkCdGeokIF/LHrBMBtGupAIVIGVMyQE6bvX2Dw/0H2cfhH2jCMYkPKj5XP8mFhwaHfDIZhYBqmChQiIiLyz2wbbN+hf23/LDHD9M+eKOmLecvrvw9swPB//vHcj4iIiIQN27axbBvr8KHIoUMIl1HywoLP8t/Xid6PiJSuwG8zZfnKd+BeeT+eSCkxDAO3ceI/0i7ThQv9DIiIiEgJGQaUwrEI4N9ZISIiIlIC/gWdRqmc0XCZBi5UuBAJNIH/KsF0wbxL4ffVZf9YFevAgKfL/nFEREREREREREREROSYBX4xA/yFjN++dTrFUXXv3p0dO3bgdvu/lLZtU716dc4991zOPvtsh9OJiIiIiIiIiIiIiAS/4ChmBLjx48fTv39/AAoKCvjoo4+49dZb2b17N8OHD3c4nYiIiIiIiIiIiIhIcNNE31IWERFBr169uOWWW3jsscfIycmhbt263HPPPbRt25YRI0YA8PnnnzNw4EBatWpFnz59eOONN4ruIycnhzvuuINevXrRrFkzOnfuzBNPPFF0fffu3Zk1axZnnHEGTZs2ZciQIXz//fdcdtllNG/enN69e7NixYpyf+4iIiIiIiIiIiIiImVBxYwy0q1bN/Lz81m+fDkAGzdu5KOPPuK+++7jxx9/5IorrmD48OEsWbKEu+++m4kTJ/LJJ58A8MADD/Drr7/yyiuv8PXXX3PHHXfw0EMP8csvvxTd/9y5c3nyySf57LPP2LVrF+eddx5XXnklS5YsoU6dOjzwwAOOPG8RERERERERERERkdKmYkYZSUpKAmDPnj0A9O3bl+joaBISEnjxxRfp0aMHvXr1wuVy0aJFCwYNGsTzzz8PwDXXXMPDDz9MXFwcW7duJTIyEoDt27cX3f+AAQPIyMggLi6OJk2a0LZtW5o3b05ERASdOnVi8+bN5fuERURERERERERERETKiGZmlJFdu3YBkJKSAkBaWlrRdZs3b2bx4sW0atWq6DKfz0e1atUA2LlzJxMmTOCHH36gSpUqNGrUCADLsopun5iYWPS+y+WiQoUKRR+bpolt26X/pEREREREREREREREHKBiRhn54IMPiImJoWnTpgAYhlF0XUZGBv369eOuu+4qumz79u1FBYiRI0fSvXt3ZsyYgdvtZvfu3bz88svF7v/P9yciIiIiIiIiIiIiEsqCo5hRsU7QPE5BQQHvv/8+U6ZM4frrrycuLu6I2wwcOJCLLrqIXr160aFDBzZu3Mjw4cM56aSTuPXWW9m/fz9RUVG4XC527drFhAkTACgsLDzhfCIiIiIiIiIiIiIiwSbwixmWDwY8Xb6PZ7pK9Cljx47l7rvvBiAyMpLs7GzGjx9P7969j3r7pk2bMmXKFKZMmcLIkSOJjo6mb9++jBo1CoBJkyYxceJEZs6cSYUKFejduzcNGjRg9erVdOrU6cSen4iIiIiIiIiIiIhIkDHsABiukJeXx/r166lRowZRUVFOx5ES0vdPRERERERERERERMqS6XQAERERERERERERERGRf6JihoiIiIiIiIiIiIiIBDQVM0REREREREREREREJKCpmCEiIiIiIiIiIiIiIgFNxQwREREREREREREREQloKmaIiIiIiIiIiIiIiEhAUzFDREREREREREREREQCmooZIiIiIiIiIiIiIiIS0AK+mOGzfCH9eCIiIiIiIiIiIiIi8s/cTgf4Ny7TxehFo1m3d12ZP1Z2hWwmd5l8zLcfM2YM8+fPB8Dr9VJYWEh0dHTR9U899RStWrUq9ZwiIiIiIiIiIiIiIuEk4IsZAOv2rmPVrlVOxzjCXXfdxV133QXAq6++ymOPPcYHH3zgcCoRERERERERERERkdAS8G2mgtVPP/3EZZddRps2bejSpQvjxo1j//79gL/w0b9/fy6++GJatWrF/PnzycvLY+zYsbRp04auXbvy8MMP0717d5YsWQLA77//zo033kjHjh3p1KkTY8aMIScnB4AlS5bQtWtXbrjhBlq1asWTTz7JmjVrGDZsGK1bt+akk07illtuKbp9QUEBjzzyCD169KBNmzZcdtll/PLLL0XZ69aty3PPPccpp5xC8+bNGTx4MD/99FM5fwVFRERERERERERERPxUzCgDu3fv5vzzz6dWrVosWrSIefPmsX79em6++eai23z//fecfvrpfP755/Ts2ZOJEyfy3Xff8frrr/PWW2+xZcsWNm/eDIBlWVx55ZWYpsm7777L/Pnz2b59O2PGjCm6v61bt5Kdnc0XX3zB0KFDGT9+PO3bt2fp0qXMmzePH374gblz5wLw0EMP8dFHH/F///d/fPLJJzRt2pSLL76Y/Pz8ovtbsGABs2fPZtGiRURHR3PfffeV01dPRERERERERERERKQ4FTPKwMKFC/F4PNx4441ERUWRmprKnXfeyQcffMCOHTsA8Hg8nHnmmUREROByuXjjjTe4/vrryczMJDY2ljFjxuByuQBYuXIl33//PWPHjiUuLo6kpCRuueUWFixYwO7du4sed+DAgXg8HuLi4oiMjOSTTz7hnXfewTRNXn/9dS666CJs2+bFF19k1KhRVK1alcjISK666ioKCwv56KOPiu7rvPPOIzU1lfj4eE477TQ2bNhQnl9CEREREREREREREZEiQTEzI9js3LmTSpUqFRUjAKpUqQJQtNsiNTUV0/TXkvbs2cPBgwepXLly0e0PFy0Afv31V3w+H127di32OBEREWzatKno47S0tKL3H374YaZOncpDDz3EqFGjaNGiBePGjSM5OZkDBw4wcuTIoscHKCwsLMoGULFixaL33W43tm0f/xdEyzeVIgAAA85JREFUREREREREREREROQEqJhRBipXrsyWLVvw+XxFBY2NGzcC/iLGunXrMAyj6PYpKSlERUWxZcsWsrOzAThw4EDRrouMjAyioqJYsmRJ0f0VFBSwadMmqlevzldffQVQdJ+WZfHDDz9wzTXXcNttt/Hbb78xadIkRo8ezdy5c4mMjGTmzJk0a9asKMO6detIT08v2y+MiIiIiIiIiIiIiMhxUJupMnB4B8UDDzxAXl4eO3bsYMKECbRr167Y7ovDTNNk4MCBTJ06lW3btnHw4EEmTZqEz+cDoEmTJlSvXp3JkyeTm5tLXl4eEydO5MILLyy6zV/v75577uHhhx8mPz+f5ORkIiMjSUpKKnqsBx98kK1bt2JZFq+99hp9+/YtNgRcRERERERERERERCRQBMXOjOwK2UH1OPHx8cyaNYvJkycXFTZ69OhRbAD4X91www3cfffd9O7dm9jYWM455xxM08Tj8eB2u5k+fTr33nsvvXr1Ij8/nyZNmjBr1iwiIyOPen8PP/wwd999N506dcKyLFq3bs3dd98NwC233MLUqVMZOnQoe/bsoWrVqjz66KM0aNCgVJ6/iIiIiIiIyP+3d8c4icRhGIdfGDWGwtBpZaDyAJQWXs3GC1BQUHgPz8AhiC2WGgMa0Go3u8VuVleZT3yelpD5kqGa3/D/AAA+UuelwDKE5XKZ+Xye4XCYw8PD3z5bb9Zpus0fvvnxtn29H2azWc7OznJ0dJQkeXh4yGg0ys3NTQaDwdbneYu/3T8AAAAAAPhf5Y+Z2nZYaCNkJMn19XWurq6yXC6zWq0yHo8zHA7LhwwAAAAAAPhs5WPGd3F5eZn7+/tcXFzk/Pw8t7e3mU6nbY8FAAAAAACt+xI7M76D4+PjTCaTtscAAAAAAIBy/DMDAAAAAAAorVTMKLCLnHdw3wAAAAAA+EwlYsb+/n6S5PHxseVJeI+np6ckSdO0szwdAAAAAIDdVmJnRtM06ff7WSwWSZJer5dOp9PyVPyLzWaTu7u79Hq97O2V+DkBAAAAALBjyjx9Pjk5SZKfQYOvo9vt5vT0VIACAAAAAOBTdF6KLTxYr9d5fn5uewze4ODgIN1uiRPLAAAAAADYQeViBgAAAAAAwK+8Tg8AAAAAAJQmZgAAAAAAAKWJGQAAAAAAQGliBgAAAAAAUJqYAQAAAAAAlCZmAAAAAAAApYkZAAAAAABAaWIGAAAAAABQmpgBAAAAAACUJmYAAAAAAACliRkAAAAAAEBpYgYAAAAAAFCamAEAAAAAAJQmZgAAAAAAAKW9AqMAWmt2jBMLAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# shows on which island species live on a pie plot\n", + "df_categorical.groupby(['Island', 'Species']).size().unstack().plot(kind='pie', subplots=True, figsize=(20, 10), autopct='%1.1f%%')" + ] + }, + { + "cell_type": "code", + "execution_count": 143, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([,\n", + " ,\n", + " ],\n", + " dtype=object)" + ] + }, + "execution_count": 143, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# shows the distribution of species in the study\n", + "df_categorical.groupby(['studyName', 'Species']).size().unstack().plot(kind='pie', subplots=True, figsize=(20, 10), autopct='%1.1f%%')" + ] + }, + { + "cell_type": "code", + "execution_count": 144, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# shows the correlation between \"Body Mass (g)\" and \"Species\" in a swarm plot\n", + "warnings.filterwarnings('ignore')\n", + "sns.swarmplot(x=\"Species\", y=\"Body Mass (g)\", data=penguin_manager.get_df(), hue=\"Sex\")\n", + "warnings.filterwarnings('default')" + ] + }, + { + "cell_type": "code", + "execution_count": 145, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# shows the correlation between \"Culmen Depth (mm)\" and \"Species\" in a swarm plot\n", + "warnings.filterwarnings('ignore')\n", + "sns.swarmplot(x=\"Species\", y=\"Culmen Depth (mm)\", data=penguin_manager.get_df(), hue=\"Sex\")\n", + "warnings.filterwarnings('default')" + ] + }, + { + "cell_type": "code", + "execution_count": 146, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# shows the correlation between \"Delta 15N (o/oo)\" and \"Species\" in a swarm plot\n", + "warnings.filterwarnings('ignore')\n", + "sns.swarmplot(x=\"Species\", y=\"Delta 15 N (o/oo)\", data=penguin_manager.get_df(), hue=\"Sex\")\n", + "warnings.filterwarnings('default')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can see that the species are imbalanced, there are 2 times more Adelie than Chinstrap.\n", + "\n", + "Moreover, we can see that The gentoo lives only on the Biscoe island, the Chinstrap only in the Chinstrap and the Adelie lives everywhere. So if we want to predict the island, the species feature will be very important for the first 2 species and almost useless for the latter.\n", + "\n", + "The studies seem to have a reasonable balance of species.\n", + "\n", + "As comparison with the numerical features, I have chosen the body mass, the culmen depth and the delta 15N. The gentoo seems to sit in specific ranges that is different that the other 2 species, also, using the \"Sex\" as hue, it seems that this feature may be correlated with the body mass (higher for males) and culmen depth (higher for males). So, even if these penguins could change sex, it may be a rare event that also have influence on the body mass and culmen depth. Therefore, it could be used for the model.\n", + "\n", + "## Island" + ] + }, + { + "cell_type": "code", + "execution_count": 147, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 147, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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pvLy8dPLkSbVv396hTePGjbV48WINGjRIhYWFioqKUk5OjkJCQvT+++879Pnbb7+pRo0aV4zj6+ur+Ph4xcXFafr06fL19VVMTIxat24tSRo3bpymTp2qHj16KDc3V4GBgZo/f778/PxuuL638jvaxVack3G3QUFBgTp16qQHHnhAkyZN0sWLFzVkyBBVrFhR48ePV8eOHTVo0CBFRUXphx9+0MCBAzVr1iy1atWqSP1bLBbt3LlTTZo04UsIcLITc7qp4OT/nF3GDbn5/UU1+y52dhm4BXl5eTp06JDq1q1bIrfk4uZc7+dU1N/fJX47tJubmz7++GOZzWaFhYUpLCxMfn5+mjhxonx8fBQfH6+1a9cqJCREMTExiomJKXJoAQAAZZtTHvlfo0YNTZ069arzgoKCtGjRohKuCMDdzFShiixWi8wm4xylNVq9wO3Cu4oA3PVMHpVkNpkV+2WsDp897OxybqiOTx2NDRt744ZAGURwAYD/5/DZw9qfsd/ZZQC4Dl6yCAAADIPgAgAADIPgAgAADIPgAgAADIPgAgAos2zWkn1xZkmPdzfiriIAQJnlYjIrc9lIFWT+csfHcqtaT1Uj3i7WMqGhocrIyJCr66VfxzabTV5eXgoPD9ewYcNkMpl09uxZtW/fXnXq1FFycrLD8suWLdPMmTO1YcOGq/ZvsVg0ZcoUJScnKzc3V61atVJsbKyqV68uSdq7d68mTpyo1NRUeXh46IknntDw4cPt7xXctWuXJkyYoLS0NPn4+GjAgAGKjIy01zpv3jx9+umnOnfunBo1aqS33npLAQEBxdoGxUVwAQCUaQWZv5TqV0/ExsYqIiLC/jk1NVU9e/aUp6enBg8erKSkJD366KP64YcftHnzZrVp06bIfc+ePVubN2/W0qVLVbFiRY0ePVoxMTGaM2eOrFar+vXrp759++rjjz9Wenq6evbsKR8fHw0aNEhZWVnq27evBg8erO7du2vbtm0aNGiQAgMD1ahRI3388ceaN2+eZs+erUaNGunTTz/Viy++qNWrV8vX1/dObCpJnCoCAKBUCQwMVIsWLfTzzz/LarVq0aJFCg8PV2RkpOLj44vVV1JSkvr06aOaNWvKy8tLo0aN0saNG3X06FFlZWUpIyNDVqtVl19baDKZ5OnpKUlat26dvL29FRUVJVdXV7Vu3Vrh4eFKTEyUJK1atUrR0dFq1qyZXF1dFR0dLR8fH61du/b2bpA/IbgAAFBKFBQUKCUlRVu3blWbNm20YcMGWSwWhYaG6vnnn1dKSopSU1OL1Nf58+d18uRJh1M3VatWVeXKlZWamiofHx/17NlT//rXvxQUFKR27dqpTp066tmzpyTpwIEDV5z28ff31759+yRdOg1Vvnx5h/kmk0m//HJnT8sRXAAAcKLY2FgFBwcrODhYrVu31vjx49WrVy/16NFDCxcutB/x8PPzU4cOHZSQkFCkfnNyciTpinDh4eGhnJwcWa1WeXh4aPTo0dq5c6dWrVqlgwcPavr06fblLx99+eOyFy5ckCSFhYXp448/1v/+9z8VFBTo008/1aFDh3Tx4sVb3CLXxzUuAAA40dixYx2ucbns4MGD2rJli/bs2aP58+dLkvLz81VQUKAhQ4bYL7C9lsuhIzc312F6Xl6eKlSooP/+97/68ssv7ad2GjRooEGDBikuLk5vvPGGPD09df78+asuK0m9e/dWbm6uBg0apPz8fD355JNq27atKlWqdHMboog44gIAQCm0cOFCtWvXTqtWrVJycrKSk5O1Zs0a1a5dWwsXLrzh8pUrV1aNGjWUlpZmn5aRkaFz584pICBAJ06cUH5+vsMyrq6ucnNzkyQFBATowIEDDvPT0tLUoEEDSdKpU6fUtWtXbdiwQd9++61GjBihffv26aGHHrrVVb8ujrgAAMo0t6r1DDdOdna2li9frsmTJ8vPz89hXrdu3TR79mz1799f0qVrTU6ePOnQxt3dXb6+voqIiNDs2bMVFBQkHx8fTZw4US1bttR9992ntm3b6t1339UHH3ygPn366Pjx45o9e7bCw8MlSR06dNDkyZOVkJCgqKgo/fDDD1q5cqVmzZolSfriiy/0xRdfKCEhQe7u7po5c6bc3d0VGhp627bD1RBcAABlls1qKfazVW51PBeT+Zb7WbZsmTw8PNSuXbsr5nXu3FnvvfeelixZIi8vL508efKKdo0bN9bixYs1aNAgFRYWKioqSjk5OQoJCdG0adMkXbrQ9sMPP9S0adM0b948VaxYUc8884wGDRokSfLx8VF8fLzi4uI0ffp0+fr6KiYmRq1atZIk9erVSydOnNBTTz2lgoICBQcHKyEhQeXKlbvl9b8eF9vle6DKCIvFop07d6pJkyYym2995wFw807M6Vaqn59xmeeDT6lal3+p16Je2p+x39nl3FBAtQAt+NsCZ5dRquTl5enQoUOqW7euPDw8nF0OruF6P6ei/v7mGhcAAGAYBBcAAGAYBBcAAGAYBBcAAGAYBBcAAGAYBBcAAGAYBBcAAGAYBBcAAGAYBBcAQJllsVrK9Hh3Ix75DwAos8wms2K/jNXhs4fv+Fh1fOpobNjYOz7O3Y7gAgAo0w6fPVxqX+UQGhqqjIwMubpe+nVss9nk5eWl8PBwDRs2TCaTSWfPnlX79u1Vp04dJScnOyy/bNkyzZw5Uxs2bLhq/xaLRVOmTFFycrJyc3PVqlUrxcbGqnr16pKkgwcPauLEidq1a5e8vLzUvXt39evXTyaT4wmZHTt26MUXX9Tu3bsdpn/++eeaNWuWMjIyVK9ePY0ePVpNmza9XZvnqjhVBACAE8XGxmrHjh3asWOHdu7cqfnz52v58uWaOXOmJCkpKUmPPvqoMjIytHnz5mL1PXv2bG3evFlLly7Vpk2b5OHhoZiYGElSTk6OXnnlFdWsWVMbN25UYmKiVq9ebX/7s3QpSC1ZskS9e/dWfn6+Q98pKSkaP3683n77bW3btk3PPPOMBgwYoNzc3FvcItdHcAEAoBQJDAxUixYt9PPPP8tqtWrRokUKDw9XZGSk4uPji9VXUlKS+vTpo5o1a8rLy0ujRo3Sxo0bdfToUf3www86ffq0xowZo/Lly+uee+7RgAED9Omnn+ry+5ffeustJSUlafDgwVftu1OnTmrevLnc3NzUs2dP+fj4aPXq1bdlO1wLwQUAgFKioKBAKSkp2rp1q9q0aaMNGzbIYrEoNDRUzz//vFJSUpSamlqkvs6fP6+TJ08qICDAPq1q1aqqXLmyUlNTZbVa5ebmJjc3N/t8FxcXZWZm6vfff5ckvf766/rss8/UsGHDK/pPS0tz6FuS/P39tW/fvptZ9SIjuAAA4ESxsbEKDg5WcHCwWrdurfHjx6tXr17q0aOHFi5cqKioKLm6usrPz08dOnRQQkJCkfrNycmRJJUvX95huoeHh3JyctSsWTN5eHjo3XffVW5uro4dO6b58+dLkvLy8iRJfn5+1+3f09Pzir4vXLhQ1FW/KVycCwCAE40dO1YRERFXTD948KC2bNmiPXv22ANFfn6+CgoKNGTIEPsFttdyOVT8+ZqTvLw8VahQQZUqVdLcuXM1adIktW/fXvfdd586d+6s3bt3q1KlSjes29PT0x5w/ti3j4/PDZe9FRxxAQCgFFq4cKHatWunVatWKTk5WcnJyVqzZo1q166thQsX3nD5ypUrq0aNGkpLS7NPy8jI0Llz5xQQEKD8/HwVFhbqo48+UkpKipKSkmQymeTv73/FkZSradCggQ4cOOAwLS0tTQ0aNCj+yhYDR1wAAGVaHZ86hhsnOztby5cv1+TJk684XdOtWzfNnj1b/fv3l3TplueTJ086tHF3d5evr68iIiI0e/ZsBQUFycfHRxMnTlTLli113333KT8/Xy+//LKGDx+url27au/evfrggw/06quvFqnGrl27atCgQXryySfVvHlzJSYm6vTp0+rQocPt2QjXQHABAJRZFqulRB8KZ7FaZDaZb7mfZcuWycPDQ+3atbtiXufOnfXee+9pyZIl8vLy0smTJ69o17hxYy1evFiDBg1SYWGhoqKilJOTo5CQEE2bNk3SpXAza9YsTZo0SRMnTlSVKlXUp08fdevWrUg1tm7dWmPHjtW4ceN06tQp+fv7a+7cufL29r7V1b8uF9vle57KCIvFop07d6pJkyYym2995wFw807M6aaCk/9zdhk35PngU6rW5V/qtahXqX1Q2R8FVAvQgr8tcHYZpUpeXp4OHTqkunXrysPDw9nl4Bqu93Mq6u9vrnEBAACGQXABAACGQXABAACGQXABAACGQXABAJQZZex+kzLndvx8CC4AAMO7fBfKn99gjNLl8usA/vh+pOLiOS4AAMNzdXVV+fLllZGRITc3N5lM/F1emthsNl24cEHp6eny9va+pceVEFwAAIbn4uKimjVr6tChQ/r111+dXQ6uwdvb+7ovbiwKpwSX1atXa+jQoSpXrpx92l//+ldNnjxZu3bt0oQJE5SWliYfHx8NGDBAkZGRzigTAGAg7u7uatCgAaeLSik3N7fb8mBYpwSX3bt369lnn9WkSZMcpmdlZalv374aPHiwunfvrm3btmnQoEEKDAxUo0aNnFEqAMBATCYTT84t45xyEnD37t166KGHrpi+bt06eXt7KyoqSq6urmrdurXCw8OVmJjohCoBAEBpU+JHXKxWq/bu3StPT0/NmzdPFotF7dq109ChQ3XgwAEFBAQ4tPf399eSJUuKPY7FYrldJQO4Cbwr7M7jew5lSVH35xIPLmfOnFHDhg0VFham6dOn6+zZsxoxYoSGDRumatWqydPT06G9h4eH/fap4ti9e/ftKhlAMXl6eqphw4bOLqPMS01NVW5urrPLAEpUiQeXqlWrOpz68fT01LBhw9StWzdFREQoLy/PoX1eXp4qVKhQ7HGCgoL4iw9AmRYYGOjsEoDbxmKxFOmgQ4kHl3379mnVqlV688035eLiIunSA4NMJpMaNWqk//znPw7t09LS1KBBg2KPYzabCS4AyjS+43A3KvGLc729vZWYmKh58+apsLBQx48f1+TJk/Xcc88pLCxMmZmZSkhIUEFBgbZu3aqVK1eqS5cuJV0mAAAohUo8uPj5+enDDz/U+vXr1bJlS3Xp0kVBQUEaM2aMfHx8FB8fr7Vr1yokJEQxMTGKiYlRq1atSrpMAABQCjnlOS4tW7bUokWLrjovKCjomvMAAMDdjZc5AAAAwyC4AAAAwyC4AAAAwyC4AAAAwyC4AAAAwyC4AAAAwyC4AAAAwyC4AAAAwyC4AAAAwyC4AAAAwyC4AAAAwyC4AAAAwyC4AAAAwyC4AAAAwyC4AAAAwyC4AAAAwyC4AABuisVqdXYJxWK0enF1rs4uAABgTGaTSTGfbNKh9Cxnl3JDdatX1oQXHnF2GbgNCC4AgJt2KD1L+46dcXYZuItwqggAABgGwQUAABgGwQUAABgGwQUAABgGwQUAABgGwQUAABgGwQUAABgGwQUAABgGwQUwCB5XDtxdLFaLs0solpKqlyfnAgZhpMerPxxYS4OebObsMgBDM5vMiv0yVofPHnZ2KTdUx6eOxoaNLZGxCC6AgRjl8ep1qlVydglAmXD47GHtz9jv7DJKFU4VAQAAwyC4AAAAwyC4AAAAwyC4AAAAwyC4AAAAwyC4AAAAwyC4AAAAwyC4AAAAwyC4AAAAwyC4AAAAwyC4AAAAwyC4AAAAwyC4AAAAwyC4AAAAwyC4AAAAw3BqcLFYLIqOjtbIkSPt03bt2qXIyEg1bdpUoaGhSkpKcmKFAACgNHFqcJk5c6a2b99u/5yVlaW+ffuqc+fO2rZtm+Li4jRp0iT99NNPTqwSAACUFk4LLlu2bNG6devUsWNH+7R169bJ29tbUVFRcnV1VevWrRUeHq7ExERnlQkAAEoRV2cMevr0aY0aNUqzZs1SQkKCffqBAwcUEBDg0Nbf319Lliwp9hgWi+VWywRKFbPZ7OwSUMo4+3vOiPuks7dZcdxt27eoy5Z4cLFarRo2bJh69eqlBx54wGFeTk6OPD09HaZ5eHjowoULxR5n9+7dt1QnUJp4enqqYcOGzi4DpUxqaqpyc3OdMrZR90lnbrPiYPteW4kHlw8//FDu7u6Kjo6+Yp6np6fOnz/vMC0vL08VKlQo9jhBQUGGTKsAUFSBgYHOLsFw2GZ31q1sX4vFUqSDDiUeXJKTk5Wenq7g4GBJl4KJJP3f//2fhg8frs2bNzu0T0tLU4MGDYo9jtlsJrgAKNP4jis+ttmdVRLbt8Qvzl27dq1+/PFHbd++Xdu3b9fTTz+tp59+Wtu3b1eHDh2UmZmphIQEFRQUaOvWrVq5cqW6dOlS0mUCAIBSqFQ9gM7Hx0fx8fFau3atQkJCFBMTo5iYGLVq1crZpQEAgFLAKXcV/dHbb7/t8DkoKEiLFi1yUjUAAKA0K1VHXAAAAK6H4AIAAAyD4AIAAAyD4AIAAAyD4AIAAAyD4AIAAAyD4AIAAAyD4AIAAAyD4AIAAAyD4AIAAAyD4AIAAAyD4AIAAAyD4AIAAAyD4AIAAAyD4AIAAAyj2MFlwIABV53eo0ePWy4GAADgelyL0ui3337T8uXLJUnffvutZs6c6TA/Oztbqampt704AACAPypScKlVq5YOHDigM2fOyGKxKCUlxWF+uXLlNHbs2DtSIAAAwGVFCi4mk0nvv/++JCkmJkYTJky4o0UBAABcTZGCyx9NmDBB+fn5OnPmjKxWq8O8WrVq3bbCAAAA/qzYwWXt2rUaPXq0srOz7dNsNptcXFz0v//977YWBwAA8EfFDi7Tp09XVFSUnnvuObm6FntxAACAm1bs5HHixAm9+uqrhBYAAFDiiv0clwcffFBpaWl3ohYAAIDrKvZhk2bNmqlnz5564oknVLVqVYd5r7766m0rDAAA4M+KHVx27NihBg0a6ODBgzp48KB9uouLy20tDAAA4M+KHVw+/vjjO1EHAADADRU7uFx+9P/VdO7c+RZKAQDgzqhS0UM2q0UuJrOzS8Etuqnbof8oKytLubm5at68OcEFAFAqVfRwl4vJrMxlI1WQ+Yuzy7khD/+28gkd7OwySqViB5cNGzY4fLbZbJo7d67OnTt3u2oCAOCOKMj8RQUnS//DUl2r1HV2CaVWsW+H/jMXFxe9/PLLSk5Ovh31AAAAXNMtBxdJOnToEHcVAQCAO67Yp4qio6MdQkpBQYFSU1P1zDPP3NbCAAAA/qzYwSUkJMThs8lkUs+ePfXXv/71thUFAABwNcUOLn98Ou7p06dVuXJl3lsEAABKRLGvcSkoKNDEiRPVtGlTtW3bVs2bN9fo0aOVn59/J+oDAACwK3ZwmTVrllJSUjRt2jStWrVK06ZN065duzRt2rQ7UB4AAMD/r9jneFauXKkFCxaodu3akqT69eurfv36ioqK0vDhw297gQAAAJcV+4hLVlaWatas6TCtZs2aysvLu21FAQAAXE2xg0tgYKAWLVrkMG3RokUKCAi4bUUBAABcTbFPFb3xxhvq3bu3VqxYodq1a+vIkSNKS0vT/Pnz70R9AAAAdsUOLsHBwRo1apR27dolV1dXPfbYY+rWrZuaNWt2J+oDAACwu6m3Q3/++edasGCB6tSpo/Xr12vixInKysrSK6+8cidqBAAAkHQT17gsWbJEH330kerUqSNJevzxx7VgwQIlJibe7toAAAAcFDu4ZGdnX/WuogsXLty2ogAAAK6m2MHlwQcf1Jw5cxymxcfH64EHHihyH1u2bFFkZKSaNWumNm3aaPz48fbbqXft2qXIyEg1bdpUoaGhSkpKKm6JAACgjCr2NS4jR45U7969tXjxYvn5+enkyZMqLCzUvHnzirT8mTNn1K9fP40bN06dO3dWZmamXn75Zc2ZM0cvvfSS+vbtq8GDB6t79+7atm2bBg0apMDAQDVq1KjYKwcAAMqWYgeXBx98UOvWrdNXX32l9PR01axZU+3bt1fFihWLtLyvr6++++47eXl5yWaz6dy5c7p48aJ8fX21bt06eXt7KyoqSpLUunVrhYeHKzExkeACAACKH1wkqXLlyurcufNND+rl5SVJateunU6dOqXg4GBFRERo2rRpVzzIzt/fX0uWLCn2GBaL5abrA0ojs9ns7BJQyjj7e459En92K/tkUZe9qeByu6xbt05ZWVkaOnSoBg8erBo1asjT09OhjYeHx01d+Lt79+7bVSbgdJ6enmrYsKGzy0Apk5qaqtzcXKeMzT6JqymJfdKpwcXDw0MeHh4aNmyYIiMjFR0drfPnzzu0ycvLU4UKFYrdd1BQEH8NACjTAgMDnV0C4OBW9kmLxVKkgw4lHlx+/PFHvfXWW1qxYoXc3d0lSfn5+XJzc5O/v782b97s0D4tLU0NGjQo9jhms5ngAqBM4zsOpU1J7JPFvh36VgUGBiovL0/vvvuu8vPzdezYMf3rX/9S165dFRYWpszMTCUkJKigoEBbt27VypUr1aVLl5IuEwAAlEIlfsSlQoUKmjdvniZOnKg2bdqoYsWKCg8P16BBg+Tu7q74+HjFxcVp+vTp8vX1VUxMjFq1alXSZQIAgFLIKde4+Pv7Kz4+/qrzgoKCtGjRohKuCAAAGEGJnyoCAAC4WQQXAABgGAQXAABgGAQXAABgGAQXAABgGAQXAABgGAQXAABgGAQXAABgGAQXAABgGAQXAABgGAQXAABgGAQXAABgGAQXAABgGAQXAABgGAQXAABgGAQXAABgGAQXAABgGAQXAABgGAQXAABgGAQXAABgGAQXAABgGAQXAABgGAQXAABgGAQXAABgGAQXAABgGAQXAABgGAQXAABgGAQXAABgGAQXAABgGAQXAABgGAQXAABgGAQXAABgGAQXAABgGAQXAABgGAQXAABgGAQXAABgGAQXAABgGAQXAABgGAQXAABgGAQXAABgGAQXAABgGAQXAABgGAQXAABgGAQXAABgGAQXAABgGE4JLvv27VOvXr3UsmVLtWnTRsOHD9eZM2ckSbt27VJkZKSaNm2q0NBQJSUlOaNEAABQCpV4cMnLy9Mrr7yipk2b6ttvv9WqVat07tw5vfXWW8rKylLfvn3VuXNnbdu2TXFxcZo0aZJ++umnki4TAACUQiUeXI4fP64HHnhAgwYNkru7u3x8fNS9e3dt27ZN69atk7e3t6KiouTq6qrWrVsrPDxciYmJJV0mAAAohVxLesB69epp3rx5DtO+/PJLPfjggzpw4IACAgIc5vn7+2vJkiXFHsdisdxSnUBpYzabnV0CShlnf8+xT+LPbmWfLOqyJR5c/shms2natGn66quvtHDhQn300Ufy9PR0aOPh4aELFy4Uu+/du3ffrjIBp/P09FTDhg2dXQZKmdTUVOXm5jplbPZJXE1J7JNOCy7Z2dn6xz/+ob1792rhwoUKDAyUp6enzp8/79AuLy9PFSpUKHb/QUFB/DUAoEwLDAx0dgmAg1vZJy0WS5EOOjgluBw5ckR9+vRRrVq1tGTJEvn6+kqSAgICtHnzZoe2aWlpatCgQbHHMJvNBBcAZRrfcShtSmKfLPGLc7OysvTSSy+pWbNmmj9/vj20SFKHDh2UmZmphIQEFRQUaOvWrVq5cqW6dOlS0mUCAIBSqMSPuCxbtkzHjx/XmjVrtHbtWod5O3bsUHx8vOLi4jR9+nT5+voqJiZGrVq1KukyAQBAKVTiwaVXr17q1avXNecHBQVp0aJFJVjRlSxWq8wm4zxU2Gj1AgBws5x6V1FpZTaZFPPJJh1Kz3J2KTdUt3plTXjhEWeXAQBAiSC4XMOh9CztO3bG2WUAAIA/4PwCAAAwDIILAAAwDIILAAAwDIILAAAwDIILAAAwDIILAAAwDIILAAAwDIILAAAwDIILAAAwDIILAAAwDIILAAAwDIILAAAwDIILAAAwDIILAAAwDIKLwVWp6CGb1eLsMorFYrB6JWPWDABlkauzC8CtqejhLheTWZnLRqog8xdnl3NDHv5t5RM6WLFfxurw2cPOLqdI6vjU0diwsc4uAwAggkuZUZD5iwpO/s/ZZdyQa5W6kqTDZw9rf8Z+J1cDADAaThUBAADDILgAAADDILgAAADDILgAAADDILgAAADDILgAAADDILgAAADDILgAAADDILgAAADDILgAAADDILgAAADDILgAAADDILgAAADDILgAAADDILgAAADDILgAAADDILgAAADDILgAAADDILgAAADDILgAAADDILgAAADDILgAAADDILgAAADDILgAAADDILgAAADDILgAAADDcGpwOXPmjDp06KCUlBT7tF27dikyMlJNmzZVaGiokpKSnFghAAAoTZwWXH744Qd1795dR44csU/LyspS37591blzZ23btk1xcXGaNGmSfvrpJ2eVCQAAShGnBJfPP/9cQ4cO1ZAhQxymr1u3Tt7e3oqKipKrq6tat26t8PBwJSYmOqNMAABQyrg6Y9C2bdsqPDxcrq6uDuHlwIEDCggIcGjr7++vJUuWFHsMi8Vy0/WZzeabXhZl163sU7cD+yX+jH0Spc2t7JNFXdYpwaVatWpXnZ6TkyNPT0+HaR4eHrpw4UKxx9i9e/dN1ebp6amGDRve1LIo21JTU5Wbm+uUsdkvcTXskyhtSmKfdEpwuRZPT0+dP3/eYVpeXp4qVKhQ7L6CgoL4awC3VWBgoLNLABywT6K0uZV90mKxFOmgQ6kKLgEBAdq8ebPDtLS0NDVo0KDYfZnNZoILbiv2J5Q27JMobUpinyxVz3Hp0KGDMjMzlZCQoIKCAm3dulUrV65Uly5dnF0aAAAoBUpVcPHx8VF8fLzWrl2rkJAQxcTEKCYmRq1atXJ2aQAAoBRw+qmi1NRUh89BQUFatGiRk6oBAAClWak64gIAAHA9BBcAAGAYBBcAAGAYBBcAAGAYBBcAAGAYBBcAAGAYBBcAAGAYBBcAAGAYBBcAAGAYBBcAAGAYBBcAAGAYBBcAAGAYBBcAAGAYBBcAAGAYBBcAAGAYBBcAAGAYBBcAAGAYBBcAAGAYBBcAAGAYBBcAAGAYBBcAAGAYBBcAAGAYBBcAAGAYBBcAAGAYBBcAAGAYBBcAAGAYBBcAAGAYBBcAAGAYBBcAAGAYBBcAAGAYBBcAAGAYBBcAAGAYBBcAAGAYBBcAAGAYBBcAAGAYBBcAAGAYBBcAAGAYBBcAAGAYBBcAAGAYBBcAAGAYBBcAAGAYBBcAAGAYBBcAAGAYBBcAAGAYBBcAAGAYpTK4nD59WgMHDlRwcLBCQkIUFxenwsJCZ5cFAACcrFQGlzfeeEPly5fXpk2btGTJEm3ZskUJCQnOLgsAADhZqQsuv/76q77//nsNGzZMnp6eql27tgYOHKjExERnlwYAAJzM1dkF/NmBAwfk7e2tGjVq2KfVr19fx48f1++//65KlSpdd3mbzSZJys/Pl9lsvqkazGazGvhVlrvZ5aaWL0m1q1SQxWKRuVqArCZ3Z5dzQyaf+2SxWOTv6y83k5uzyymS+73vl8VikcVicWod7Jd3jtH2S/bJ4mOfvLNuxz55ednLv8evxcV2oxYlLDk5WVOnTtXXX39tn3bkyBF16NBB33zzjfz8/K67fH5+vnbv3n2HqwQAAHdCUFCQ3N2vHS5L3RGX8uXLKzc312Ha5c8VKlS44fKurq4KCgqSyWSSi0vp/ysAAABcOtJitVrl6nr9aFLqgkuDBg107tw5ZWZmqmrVqpKkgwcPys/PTxUrVrzh8iaT6bpJDQAAGFepuzi3Tp06at68uSZOnKjs7GwdPXpUs2bNUteuXZ1dGgAAcLJSd42LJGVmZuqf//ynUlJSZDKZ1LlzZw0dOvSmL7YFAABlQ6kMLgAAAFdT6k4VAQAAXAvBBQAAGAbBBQAAGAbBBQAAGEape44LrjRmzBitXLlSklRYWKiCggJ5enra58+dO1fBwcHOKg+4rsDAQJUrV05ms1k2m01ubm4KDg7WmDFjVLNmTUlSp06d1K9fPz3zzDNOrhZ3g9DQUGVkZNgfdGaz2XT//ferR48eioyMdHJ1uBHuKjKYZcuWaebMmdqwYYOzSwGKJDAwUB999JFCQkIkSdnZ2Ro6dKiys7O1cOFCJ1eHu1FoaKheffVVRURESLr0qpivv/5a//jHP9SvXz/17dvXyRXiejhVZHCpqanq06ePWrZsqUcffVTjxo3T+fPnJV0KOREREerdu7eCg4O1cuVK5eXlaezYsWrZsqXatWunadOmKTQ0VCkpKZIuPUNn6NChatOmjdq2basxY8YoOztbkpSSkqJ27drpzTffVHBwsObMmaMDBw4oKipKLVq00GOPPaYRI0bY2+fn5+v999/X448/rpYtW6pPnz769ddf7bUHBgbq448/VlhYmJo2baq//e1vSk1NLeEtiJLm5eWlbt26ac+ePfZpoaGhWrZsmSRp27ZtioiIUHBwsDp06KC4uDgVFhZKks6cOaOhQ4eqRYsWCgkJ0ZAhQ5SVlSVJOnbsmN544w21bt1abdq00Ztvvqn09HT7GHv37lV0dLRatGihjh07KiEh4YYvc8Pdwd3dXR07dtSIESM0c+ZMZWdnKzAwUBMmTFBISIj69+8vSfruu+/UtWtXBQcHq1OnTlqxYoW9j+zsbMXExKhjx45q0qSJHnnkEX3wwQf2+aGhoVqwYIGeeeYZNW7cWM8//7z27t2rPn36qGnTpnrqqaf0008/lfi6GxHBxcDOnj2rF198Uf7+/tq4caOWLl2qQ4cOafjw4fY2e/fuVXh4uL777jt16NBBEydO1O7du5WcnKzVq1fr+PHjOnbsmCTJarVq4MCBMplM+vLLL7Vy5Uqlp6drzJgx9v5OnjypevXqacuWLXrhhRcUGxur1q1b6/vvv9fSpUv1888/KykpSZLsL8tMSEjQpk2b1LhxY/Xu3VsXL1609/fFF19o4cKF2rhxozw9PfXOO++U0NaDs2RlZemLL75Qx44drzp/+PDhio6O1vbt27VgwQKtXbtW69evlyS9/vrrys7O1rp167R+/Xr9/vvvio2NVUFBgXr37i2z2ax169ZpzZo1kqT+/fursLBQp06d0ksvvaQnnnhC3333nWbNmqVPPvlEn332WYmtN0q/9u3b6+LFi/rxxx8lXXrB79dff6133nlH+/bt04ABA9S3b1+lpKRo/PjxmjhxojZt2iRJmjJlin777TctWbJEO3bsUExMjKZOnerwx1pSUpLmzJmjzZs368yZM4qOjtbAgQOVkpKigIAATZkyxSnrbTRc42Jg69evl5ubm/2pwh4eHho9erQ6deqkjIwMSZKbm5ueffZZmUwmFRQUaMWKFZoxY4b92oIxY8Zo1apVkqQ9e/Zo7969WrBggf2FliNGjNATTzyh0aNH28ft2rWr3Nzc5ObmpnLlymnTpk2qX7++WrdureTkZJlMJtlsNi1atEjTp09X7dq1JUmDBg3S4sWL9fXXXyssLEySFB0drWrVqkmSnnzySX344Ycls/FQovr37y+z2Syr1aqcnBxVrFjxmj/rcuXKac2aNfL29laLFi30zTffyGQy6dixY/r++++1du1a+fj4SJLefvttnTt3Ttu3b9fRo0e1dOlSeXl5SZJiY2PVsmVL7dmzR9u2bVP9+vUVFRUlSfL399fLL7+shQsX6m9/+1vJbASUepf3q3PnzkmSnn76aXl6esrT01PvvfeeHn/8cXvgbtasmbp166bExEQ98sgjeu2112Q2m+Xl5aWTJ0+qXLlykqT09HTdf//9kqQuXbrIz89PktSoUSNlZ2eradOmkqS2bdtq9uzZJbm6hkVwMbDTp0+rVq1aDq9CuPfeeyXJfhSlWrVqMpkuHVg7d+6ccnNzdc8999jbe3l52f9n/e2332SxWNSuXTuHcdzd3XX06FH75+rVq9v/PW3aNM2YMUNTp07V3//+dzVr1kzjxo2Tr6+vLly4oNdff90+viQVFBTYa5Nkf5GmdOnN3hy6L5s++OAD+zUueXl5SkxM1EsvvaTPPvtMDz74oEPb//znP5oxY4ZiY2OVkZGhRx55ROPGjbOH8T/uv9WqVVO1atWUmpoqHx8fe2iRLu3b3t7eOnbsmI4dO6a9e/c6XMRutVp5jQgcnDlzRpJUpUoVSY7fdceOHdPWrVsd9iGLxaL77rtP0qXv47i4OP3888+699579dBDD0m6tJ9d5u3tbf+32WxW5cqV7Z8v/8GHGyO4GNg999yj48ePy2Kx2L+Ajxw5IunSF/ovv/wiFxcXe/sqVarIw8NDx48fV7169SRJFy5c0NmzZyVJfn5+8vDwUEpKir2//Px8HT16VPfff79++OEHSbL3abVa9fPPP+u1117TW2+9pRMnTmjSpEkaOXKkkpKSVK5cOcXHx6tJkyb2Gn755RfVqFHjzm4YlGoeHh56+eWXNWfOHH333XcOweXixYtKS0vTuHHj5OrqqkOHDikmJkYTJ07UqFGjJEnHjx9XnTp1JElpaWlatWqV2rVrp7Nnzyo7O9seXs6fP6+zZ8+qWrVq8vPzU0hIiObPn28f6+zZs8rJySm5FUept2HDBpUvX16NGzeWJIfvTz8/Pz333HP65z//aZ+Wnp5uDxuvv/66QkNDNX/+fLm6uurs2bNavHixQ/9/7A83j2tcDOzykZEpU6YoLy9PGRkZiouLU6tWrRz+Kr3MZDKpa9eumjFjhk6dOqXc3FxNmjRJFotF0qVDl/fff7/efvtt5eTkKC8vTxMnTlTPnj3tbf7c34QJEzRt2jRdvHhRvr6+KleunHx8fOxjvfvuuzp58qSsVqs+//xzPf300w7nfHH3KSws1NKlS/X777+refPmDvNcXFz097//XfHx8SosLFS1atXk6uoqHx8f1ahRQ23atNE777yj33//XdnZ2Zo8ebKOHj2qoKAg+fv7a+zYsTp//rzOnz+vcePG6b777lOzZs0UHh6unTt3asWKFSosLFR6err69++vt99+20lbAaVJfn6+Vq9erffee09DhgxxOHJ3WdeuXbVq1Sp9++23slqtOnz4sHr06KH4+HhJl4Kyh4eHzGazzpw5owkTJki6dJQZtxfBxcAqVqyoBQsWaP/+/WrXrp2efvpp3XPPPXr//fevucybb76pevXq6amnnlJYWJj8/PxkMpnk5uYmV1dXffjhh8rMzFTHjh3Vtm1bHTlyRAsWLLCfr/2zadOm6eDBg2rbtq0efvhhnT9/XuPHj5d06fqYxo0b64UXXlBwcLASEhI0ffp0NWzY8I5sD5Rel++caNq0qVq2bKnExES99957atasmUM7d3d3zZ49W+vXr1dISIhCQ0NVrVo1DR06VNKlkO7l5aUnn3xSjz/+uHx9fRUbG2vfdwsLCxUWFqbHHntMBQUFWrBggVxdXXXPPfdo3rx5+uyzz/Twww/r2WefVb169Qgud7GxY8fa98lHH31UCxcuVGxsrF588cWrtm/cuLHee+89vffee2rRooV69Oih0NBQvfnmm5KkSZMmafXq1WrWrJkiIiJUo0YNNWzYUPv37y/J1bor8ByXu8y2bdsUGBioSpUqSbp0C1/z5s315Zdf2g+/AwBQWnHE5S4THx+vuLg45eXl6eLFi5o+fbrq1q1LaAEAGALB5S5z+QF17dq1U5s2bfTrr79qzpw5zi4LAIAi4VQRAAAwDI64AAAAwyC4AAAAwyC4AAAAwyC4AAAAwyC4AAAAwyC4ACgx0dHRmjFjxnXbzJgxQ9HR0Xdk/JSUFAUGBt6RvgGUDIILAAAwDN4ODaDEZWdna/To0fruu+/k6uqqBx54QG+99Zbq16/v0M5ms2nu3LlauXKlTpw4IRcXFz366KOKi4uTh4eHRo4cKXd3d6WnpyslJUW+vr566aWX7O+bSU9P15gxY/T999/Lx8dHnTp1csbqAriNOOICoMTFx8crOztb33zzjb766itVq1ZNU6ZMuaLdmjVr9NFHH2nGjBnavn27Fi1apG+//VYrV660t1m2bJmio6O1bds29enTR2+//bZOnTolSRoyZIhcXV21ceNGLVy4UBs3biyxdQRwZxBcAJQ4Dw8P7du3T8uXL9epU6c0ceJEzZ49+4p2jz76qJYsWaI6derozJkzOnv2rLy9ve3BRJJCQkLUpk0bubq6qkuXLrJYLDpy5IiOHTum7du3a+jQofLy8lLNmjX16quvluRqArgDOFUEoMT16dNH7u7uWrJkif75z3+qdu3aevPNN9WxY0eHdjabTVOnTtVXX30lX19f/eUvf1FBQYH++KaSatWq2f/t5uYmSbJarfZwU6tWLfv8++67706uFoASQHABUOJSU1MVGhqqnj176vz58/rkk080ZMgQbd261aHdlClTdPz4cW3YsEFeXl6SpPDw8CKN4efnJ0k6evSo/dqZkydP3sa1AOAMnCoCUOKSkpI0fPhwnT59Wl5eXvLy8lL58uXl7u7u0C47O1vlypWT2WzWxYsXFR8fr/3796ugoOCGY9SqVUtt27bVpEmTlJWVpYyMDM2cOfNOrRKAEkJwAVDi/v73v+v+++9Xp06d1KxZMy1btkyzZs1SuXLlHNq98cYbysvL08MPP6zQ0FDt3LlTzz77rPbv31+kcd59911VrFhRjz32mLp06aKHH374TqwOgBLkYvvjyWIAAIBSjCMuAADAMAguAADAMAguAADAMAguAADAMAguAADAMAguAADAMAguAADAMAguAADAMAguAADAMAguAADAMAguAADAMP4/QEg3LmSScV8AAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.countplot(x='Island', hue='studyName', data=df_categorical)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can see that there is also a high imbalance between the sample of the islands the gentoo island is the most represented, which is also the only island the gentoo lives. The Torgersen island is underrepresented.\n", + "\n", + "Studies are slightly imbalanced if grouped by island.\n", + "\n", + "### Clutch Completion\n" + ] + }, + { + "cell_type": "code", + "execution_count": 149, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 149, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.countplot(x='Clutch Completion', data=df_categorical)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "\n", + "### Sex" + ] + }, + { + "cell_type": "code", + "execution_count": 150, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 150, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.countplot(x='Sex', data=penguin_manager.get_df())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The dataset is overall imbalanced in the most important categorical features which is something to keep in mind while training the model.\n", + "\n", + "The sex is balanced, but we should be aware that is a less important category and the other features are not. In particular, I would not use the \"Clutch Completion\" feature because it is strongly imbalanced.\n", + "Also, the \"Toergsen\" island is underrepresented." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 9 Impute missing values\n", + "\n", + "At this point I know there is a correlation between species, anatomical values and sex / isotope, so I will impute them.\n", + "This is not meant to be the perfect imputation, but just a way to have a complete dataset to work with. And a future reference.\n", + "\n", + "There are various approaches:\n", + "\n", + "- Impute with the mean\n", + "- Impute with the median\n", + "- Impute with the mode\n", + "- Impute with a constant value\n", + "- Impute using forward filling or back-filling\n", + "- Impute with a value estimated by another predictive model\n", + "\n", + "I will use the average for the 2 deltas." + ] + }, + { + "cell_type": "code", + "execution_count": 151, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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studyNameSpeciesIslandIndividual IDClutch CompletionDate EggCulmen Length (mm)Culmen Depth (mm)Flipper Length (mm)Body Mass (g)SexDelta 15 N (o/oo)Delta 13 C (o/oo)
0PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN1A1Yes2007-11-1139.118.7181.03750.0MALE8.733382-25.686292
1PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN1A2Yes2007-11-1139.517.4186.03800.0FEMALE8.949560-24.694540
2PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN2A1Yes2007-11-1640.318.0195.03250.0FEMALE8.368210-25.333020
3PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN3A1Yes2007-11-1636.719.3193.03450.0FEMALE8.766510-25.324260
4PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN3A2Yes2007-11-1639.320.6190.03650.0MALE8.664960-25.298050
..........................................
337PAL0910Gentoo penguin (Pygoscelis papua)BiscoeN38A1No2009-12-0147.213.7214.04925.0FEMALE7.991840-26.205380
338PAL0910Gentoo penguin (Pygoscelis papua)BiscoeN39A1Yes2009-11-2246.814.3215.04850.0FEMALE8.411510-26.138320
339PAL0910Gentoo penguin (Pygoscelis papua)BiscoeN39A2Yes2009-11-2250.415.7222.05750.0MALE8.301660-26.041170
340PAL0910Gentoo penguin (Pygoscelis papua)BiscoeN43A1Yes2009-11-2245.214.8212.05200.0FEMALE8.242460-26.119690
341PAL0910Gentoo penguin (Pygoscelis papua)BiscoeN43A2Yes2009-11-2249.916.1213.05400.0MALE8.363900-26.155310
\n", + "

342 rows × 13 columns

\n", + "
" + ], + "text/plain": [ + " studyName Species Island Individual ID \\\n", + "0 PAL0708 Adelie Penguin (Pygoscelis adeliae) Torgersen N1A1 \n", + "1 PAL0708 Adelie Penguin (Pygoscelis adeliae) Torgersen N1A2 \n", + "2 PAL0708 Adelie Penguin (Pygoscelis adeliae) Torgersen N2A1 \n", + "3 PAL0708 Adelie Penguin (Pygoscelis adeliae) Torgersen N3A1 \n", + "4 PAL0708 Adelie Penguin (Pygoscelis adeliae) Torgersen N3A2 \n", + ".. ... ... ... ... \n", + "337 PAL0910 Gentoo penguin (Pygoscelis papua) Biscoe N38A1 \n", + "338 PAL0910 Gentoo penguin (Pygoscelis papua) Biscoe N39A1 \n", + "339 PAL0910 Gentoo penguin (Pygoscelis papua) Biscoe N39A2 \n", + "340 PAL0910 Gentoo penguin (Pygoscelis papua) Biscoe N43A1 \n", + "341 PAL0910 Gentoo penguin (Pygoscelis papua) Biscoe N43A2 \n", + "\n", + " Clutch Completion Date Egg Culmen Length (mm) Culmen Depth (mm) \\\n", + "0 Yes 2007-11-11 39.1 18.7 \n", + "1 Yes 2007-11-11 39.5 17.4 \n", + "2 Yes 2007-11-16 40.3 18.0 \n", + "3 Yes 2007-11-16 36.7 19.3 \n", + "4 Yes 2007-11-16 39.3 20.6 \n", + ".. ... ... ... ... \n", + "337 No 2009-12-01 47.2 13.7 \n", + "338 Yes 2009-11-22 46.8 14.3 \n", + "339 Yes 2009-11-22 50.4 15.7 \n", + "340 Yes 2009-11-22 45.2 14.8 \n", + "341 Yes 2009-11-22 49.9 16.1 \n", + "\n", + " Flipper Length (mm) Body Mass (g) Sex Delta 15 N (o/oo) \\\n", + "0 181.0 3750.0 MALE 8.733382 \n", + "1 186.0 3800.0 FEMALE 8.949560 \n", + "2 195.0 3250.0 FEMALE 8.368210 \n", + "3 193.0 3450.0 FEMALE 8.766510 \n", + "4 190.0 3650.0 MALE 8.664960 \n", + ".. ... ... ... ... \n", + "337 214.0 4925.0 FEMALE 7.991840 \n", + "338 215.0 4850.0 FEMALE 8.411510 \n", + "339 222.0 5750.0 MALE 8.301660 \n", + "340 212.0 5200.0 FEMALE 8.242460 \n", + "341 213.0 5400.0 MALE 8.363900 \n", + "\n", + " Delta 13 C (o/oo) \n", + "0 -25.686292 \n", + "1 -24.694540 \n", + "2 -25.333020 \n", + "3 -25.324260 \n", + "4 -25.298050 \n", + ".. ... \n", + "337 -26.205380 \n", + "338 -26.138320 \n", + "339 -26.041170 \n", + "340 -26.119690 \n", + "341 -26.155310 \n", + "\n", + "[342 rows x 13 columns]" + ] + }, + "execution_count": 151, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# fill deltas with the average\n", + "df_filling = penguin_manager.get_df(as_copy=True)\n", + "\n", + "delta_15n_mean = df_filling['Delta 15 N (o/oo)'].mean()\n", + "delta_13c_mean = df_filling['Delta 13 C (o/oo)'].mean()\n", + "\n", + "# Fill missing values with mean\n", + "df_filling['Delta 15 N (o/oo)'].fillna(value=delta_15n_mean, inplace=True)\n", + "df_filling['Delta 13 C (o/oo)'].fillna(value=delta_13c_mean, inplace=True)\n", + "\n", + "# Print the modified dataframe\n", + "df_filling" + ] + }, + { + "cell_type": "code", + "execution_count": 152, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# check for empties with missingno\n", + "warnings.filterwarnings('ignore')\n", + "msno.matrix(df_filling)\n", + "warnings.filterwarnings('default')" + ] + }, + { + "cell_type": "code", + "execution_count": 153, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "studyName 0\n", + "Species 0\n", + "Island 0\n", + "Individual ID 0\n", + "Clutch Completion 0\n", + "Date Egg 0\n", + "Culmen Length (mm) 0\n", + "Culmen Depth (mm) 0\n", + "Flipper Length (mm) 0\n", + "Body Mass (g) 0\n", + "Sex 1\n", + "Delta 15 N (o/oo) 0\n", + "Delta 13 C (o/oo) 0\n", + "dtype: int64" + ] + }, + "execution_count": 153, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# count the missing values\n", + "df_filling.isnull().sum()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The dataset is almost full, now only one row with the value sex is missing. I will use a classifier to predict it.\n", + "\n", + "Since it's not worth to impute with a classifier for one row, I will drop it." + ] + }, + { + "cell_type": "code", + "execution_count": 154, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "studyName 0\n", + "Species 0\n", + "Island 0\n", + "Individual ID 0\n", + "Clutch Completion 0\n", + "Date Egg 0\n", + "Culmen Length (mm) 0\n", + "Culmen Depth (mm) 0\n", + "Flipper Length (mm) 0\n", + "Body Mass (g) 0\n", + "Sex 0\n", + "Delta 15 N (o/oo) 0\n", + "Delta 13 C (o/oo) 0\n", + "dtype: int64" + ] + }, + "execution_count": 154, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_filling = df_filling.dropna(subset=['Sex'])\n", + "df_filling.isnull().sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 155, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "warnings.filterwarnings('ignore')\n", + "msno.matrix(df_filling)\n", + "warnings.filterwarnings('default')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In total, I dropped 3 rows and imputed the others with the mean. Now I have a dataset withouth missing values." + ] + }, + { + "cell_type": "code", + "execution_count": 156, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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studyNameSpeciesIslandIndividual IDClutch CompletionDate EggCulmen Length (mm)Culmen Depth (mm)Flipper Length (mm)Body Mass (g)SexDelta 15 N (o/oo)Delta 13 C (o/oo)
0PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN1A1Yes2007-11-1139.118.7181.03750.0MALE8.733382-25.686292
1PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN1A2Yes2007-11-1139.517.4186.03800.0FEMALE8.949560-24.694540
2PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN2A1Yes2007-11-1640.318.0195.03250.0FEMALE8.368210-25.333020
3PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN3A1Yes2007-11-1636.719.3193.03450.0FEMALE8.766510-25.324260
4PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN3A2Yes2007-11-1639.320.6190.03650.0MALE8.664960-25.298050
..........................................
337PAL0910Gentoo penguin (Pygoscelis papua)BiscoeN38A1No2009-12-0147.213.7214.04925.0FEMALE7.991840-26.205380
338PAL0910Gentoo penguin (Pygoscelis papua)BiscoeN39A1Yes2009-11-2246.814.3215.04850.0FEMALE8.411510-26.138320
339PAL0910Gentoo penguin (Pygoscelis papua)BiscoeN39A2Yes2009-11-2250.415.7222.05750.0MALE8.301660-26.041170
340PAL0910Gentoo penguin (Pygoscelis papua)BiscoeN43A1Yes2009-11-2245.214.8212.05200.0FEMALE8.242460-26.119690
341PAL0910Gentoo penguin (Pygoscelis papua)BiscoeN43A2Yes2009-11-2249.916.1213.05400.0MALE8.363900-26.155310
\n", + "

341 rows × 13 columns

\n", + "
" + ], + "text/plain": [ + " studyName Species Island Individual ID \\\n", + "0 PAL0708 Adelie Penguin (Pygoscelis adeliae) Torgersen N1A1 \n", + "1 PAL0708 Adelie Penguin (Pygoscelis adeliae) Torgersen N1A2 \n", + "2 PAL0708 Adelie Penguin (Pygoscelis adeliae) Torgersen N2A1 \n", + "3 PAL0708 Adelie Penguin (Pygoscelis adeliae) Torgersen N3A1 \n", + "4 PAL0708 Adelie Penguin (Pygoscelis adeliae) Torgersen N3A2 \n", + ".. ... ... ... ... \n", + "337 PAL0910 Gentoo penguin (Pygoscelis papua) Biscoe N38A1 \n", + "338 PAL0910 Gentoo penguin (Pygoscelis papua) Biscoe N39A1 \n", + "339 PAL0910 Gentoo penguin (Pygoscelis papua) Biscoe N39A2 \n", + "340 PAL0910 Gentoo penguin (Pygoscelis papua) Biscoe N43A1 \n", + "341 PAL0910 Gentoo penguin (Pygoscelis papua) Biscoe N43A2 \n", + "\n", + " Clutch Completion Date Egg Culmen Length (mm) Culmen Depth (mm) \\\n", + "0 Yes 2007-11-11 39.1 18.7 \n", + "1 Yes 2007-11-11 39.5 17.4 \n", + "2 Yes 2007-11-16 40.3 18.0 \n", + "3 Yes 2007-11-16 36.7 19.3 \n", + "4 Yes 2007-11-16 39.3 20.6 \n", + ".. ... ... ... ... \n", + "337 No 2009-12-01 47.2 13.7 \n", + "338 Yes 2009-11-22 46.8 14.3 \n", + "339 Yes 2009-11-22 50.4 15.7 \n", + "340 Yes 2009-11-22 45.2 14.8 \n", + "341 Yes 2009-11-22 49.9 16.1 \n", + "\n", + " Flipper Length (mm) Body Mass (g) Sex Delta 15 N (o/oo) \\\n", + "0 181.0 3750.0 MALE 8.733382 \n", + "1 186.0 3800.0 FEMALE 8.949560 \n", + "2 195.0 3250.0 FEMALE 8.368210 \n", + "3 193.0 3450.0 FEMALE 8.766510 \n", + "4 190.0 3650.0 MALE 8.664960 \n", + ".. ... ... ... ... \n", + "337 214.0 4925.0 FEMALE 7.991840 \n", + "338 215.0 4850.0 FEMALE 8.411510 \n", + "339 222.0 5750.0 MALE 8.301660 \n", + "340 212.0 5200.0 FEMALE 8.242460 \n", + "341 213.0 5400.0 MALE 8.363900 \n", + "\n", + " Delta 13 C (o/oo) \n", + "0 -25.686292 \n", + "1 -24.694540 \n", + "2 -25.333020 \n", + "3 -25.324260 \n", + "4 -25.298050 \n", + ".. ... \n", + "337 -26.205380 \n", + "338 -26.138320 \n", + "339 -26.041170 \n", + "340 -26.119690 \n", + "341 -26.155310 \n", + "\n", + "[341 rows x 13 columns]" + ] + }, + "execution_count": 156, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# recreate the penguin manager\n", + "penguin_manager = EncoderManager(df_filling, columns_to_label_encode, columns_to_ordinal_encode, columns_to_onehot_encode)\n", + "penguin_manager.get_df()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 10 Normalize numeric features\n", + "\n", + "Normalization is a common preprocessing step in machine learning that aims to scale features to have similar ranges and avoid that one feature dominates the others during training. By normalizing the data, we can ensure that each feature contributes equally to the model's training, leading to more accurate and robust models. Normalization can also improve the convergence of some machine learning algorithms, such as gradient descent, and reduce the computational complexity.\n", + "\n", + "References: TP02 - Data Preprocessing\n", + "\n", + "The most commons are:\n", + "\n", + "#### Min-max normalization\n", + "\n", + "Used to scale all values in a range between 0 and 1. Function to use: sklearn.preprocessing.MinMaxScaler.\n", + "\n", + "In general, the minmax normalization:\n", + "\n", + "- It's sensitive to outliers. Outliers could outscale the other values.\n", + "- It may not preserve the original shape of the data.\n", + "- It's good for distance based algorithms (Ex. k-means clustering, hierarchical clustering, and principal component analysis (PCA)).\n", + "- It's not good for non-linear data.\n", + "Could produce too small values.\n", + "\n", + "#### Z-score normalization\n", + "\n", + "Used to standardize values by scaling them to have a mean of 0 and a standard deviation of 1. Function to use: sklearn.preprocessing.StandardScaler.\n", + "\n", + "In general, the zscore normalization:\n", + "\n", + "- Helps remove outliers influence.\n", + "- Works well with normally distributed data.\n", + "- Sensitive to EXTREME outliers.\n", + "- It may not preserve the original shape of the data.\n", + "\n", + "#### Clipping\n", + "\n", + "This normalization method is used to clip the data between a min and a max value. It's used to remove outliers and to reduce the influence of extreme values. The data is not deleted, but it's replaced with the chosen min or max value if the data is outside the range.\n", + "\n", + "- Helps remove outliers influence.\n", + "- It can influence the model.\n", + "- Could remove important information that could contain useful information to modeling data\n", + "\n", + "#### Binning\n", + "\n", + "This normalization method is used to bin the data into a fixed number of bins. It's used to remove outliers and to reduce the influence of extreme values.\n", + "\n", + "Binning is a method of transforming continuous variables into discrete variables. It reduces the effects of minor observation errors.\n", + "\n", + "More info on binning: https://en.wikipedia.org/wiki/Data_binning\n", + "\n", + "And: TP02 - Data Preprocessing\n", + "\n", + "#### L1 normalization\n", + "\n", + "Used to normalize the data based on the sum of the absolute values of each observation. Function to use: sklearn.preprocessing.normalize with norm='l1'.\n", + "\n", + "#### L2 normalization\n", + "\n", + "Used to normalize the data based on the sum of the squared values of each observation. Function to use: sklearn.preprocessing.normalize with norm='l2'.\n", + "\n", + "#### Log transformation\n", + "\n", + "Used to scale the data and improve the linearity of relationships. Function to use: numpy.log or numpy.log1p.\n", + "\n", + "### Normalization\n", + "\n", + "For this step I will normalize with Min-Max since I checked before there are no important outliers and these normalizations, and it works well for the PCA which I will use later. The distributions tend to be normal, but the Min-Max normalization should be fine." + ] + }, + { + "cell_type": "code", + "execution_count": 157, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[,\n", + " ],\n", + " [,\n", + " ],\n", + " [,\n", + " ]], dtype=object)" + ] + }, + "execution_count": 157, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "df_numeric_ = penguin_manager.get_df().select_dtypes(include=[np.number])\n", + "\n", + "df_numeric_.hist()" + ] + }, + { + "cell_type": "code", + "execution_count": 158, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[,\n", + " ],\n", + " [,\n", + " ],\n", + " [,\n", + " ]], dtype=object)" + ] + }, + "execution_count": 158, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# normalize with Min-Max\n", + "df_normalized = penguin_manager.normalize(\"min-max\", inplace=True).get_df()\n", + "df_normalized.select_dtypes(include=[\"float\", \"int\"]).hist()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The result seems pretty good, the distributions are similar to the original ones, but the values are scaled between 0 and 1." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 11 Pandas Profiling\n", + "\n", + "Before going further, I will use the pandas profiling to get a quick overview of the data at this point." + ] + }, + { + "cell_type": "code", + "execution_count": 159, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "7d15661e0ad04ca99ed51d50ac562dad", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Summarize dataset: 0%| | 0/5 [00:00\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Body Mass (g)Flipper Length (mm)Culmen Length (mm)Culmen Depth (mm)Delta 15 N (o/oo)Delta 13 C (o/oo)Species
00.2916670.1525420.2545450.6666670.4601220.4123500
10.3055560.2372880.2690910.5119050.5504500.7193110
20.1527780.3898310.2981820.5833330.3075370.5216920
30.2083330.3559320.1672730.7380950.4739640.5244040
40.2638890.3050850.2618180.8928570.4315320.5325160
\n", + "" + ], + "text/plain": [ + " Body Mass (g) Flipper Length (mm) Culmen Length (mm) Culmen Depth (mm) \\\n", + "0 0.291667 0.152542 0.254545 0.666667 \n", + "1 0.305556 0.237288 0.269091 0.511905 \n", + "2 0.152778 0.389831 0.298182 0.583333 \n", + "3 0.208333 0.355932 0.167273 0.738095 \n", + "4 0.263889 0.305085 0.261818 0.892857 \n", + "\n", + " Delta 15 N (o/oo) Delta 13 C (o/oo) Species \n", + "0 0.460122 0.412350 0 \n", + "1 0.550450 0.719311 0 \n", + "2 0.307537 0.521692 0 \n", + "3 0.473964 0.524404 0 \n", + "4 0.431532 0.532516 0 " + ] + }, + "execution_count": 160, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from sklearn.preprocessing import LabelEncoder\n", + "\n", + "# for this step I will use the encoded and normalized dataset with only the most interesting features\n", + "columns_to_use = ['Body Mass (g)', 'Flipper Length (mm)', 'Culmen Length (mm)', 'Culmen Depth (mm)', 'Delta 15 N (o/oo)', 'Delta 13 C (o/oo)', 'Species']\n", + "\n", + "df_decoded_pca = penguin_manager.get_df(as_copy=True)\n", + "\n", + "cols_to_label_encode_knn = ['Clutch Completion', 'Sex', 'Individual ID']\n", + "cols_to_ordinal_encode_knn = [\"Date Egg\"]\n", + "cols_to_onehot_encode_knn = ['studyName', 'Island']\n", + "\n", + "# for this i will label encode the species\n", + "lb = LabelEncoder()\n", + "df_decoded_pca['Species'] = lb.fit_transform(df_decoded_pca['Species'])\n", + "\n", + "penguin_manager_knn = EncoderManager(df_decoded_pca, cols_to_label_encode_knn, cols_to_ordinal_encode_knn, cols_to_onehot_encode_knn)\n", + "\n", + "df_encoded_pca = penguin_manager_knn.encode(inplace=False)[columns_to_use]\n", + "df_encoded_pca.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 161, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(341, 7)" + ] + }, + "execution_count": 161, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_encoded_pca.shape" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now I have 341 rows and 7 columns. I will use the elbow method to find the best number of clusters." + ] + }, + { + "cell_type": "code", + "execution_count": 162, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "pca = PCA()\n", + "data_pca = pca.fit_transform(df_encoded_pca)\n", + "df_encoded_pca['pca1'] = data_pca[:, 0]\n", + "df_encoded_pca['pca2'] = data_pca[:, 1]\n", + "\n", + "# Plot explained variance ratio\n", + "plt.plot(pca.explained_variance_ratio_)\n", + "plt.xlabel('Principal Component')\n", + "plt.ylabel('Explained Variance Ratio')\n", + "plt.show()\n", + "\n", + "# Plot first two principal components\n", + "sns.scatterplot(x='pca1', y='pca2', hue='Species', data=df_encoded_pca)\n", + "plt.title('Clustering des pingouins avec PCA')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "I am not very confident with the PCA, but I think the best number components is 2 because the explained variance ratio is low and the number of component minimal. As we see with the PCA after all the scaling and encoding, it turned out that the result cluster are very clear." + ] + }, + { + "cell_type": "code", + "execution_count": 163, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "pca = PCA(n_components=2)\n", + "data_pca = pca.fit_transform(df_encoded_pca)\n", + "df_encoded_pca['pca1'] = data_pca[:, 0]\n", + "df_encoded_pca['pca2'] = data_pca[:, 1]\n", + "\n", + "# Plot explained variance ratio\n", + "plt.plot(pca.explained_variance_ratio_)\n", + "plt.xlabel('Principal Component')\n", + "plt.ylabel('Explained Variance Ratio')\n", + "plt.show()\n", + "\n", + "# Plot first two principal components\n", + "sns.scatterplot(x='pca1', y='pca2', hue='Species', data=df_encoded_pca)\n", + "plt.title('Clustering des pingouins avec PCA')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 164, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Accuracy: 1.00\n" + ] + } + ], + "source": [ + "from sklearn.neighbors import KNeighborsClassifier\n", + "from sklearn.model_selection import train_test_split\n", + "\n", + "# Definire le feature e il target\n", + "X = df_encoded_pca[['pca1', 'pca2']]\n", + "y = df_encoded_pca['Species']\n", + "\n", + "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n", + "\n", + "knn = KNeighborsClassifier(n_neighbors=5)\n", + "\n", + "knn.fit(X_train, y_train)\n", + "\n", + "accuracy = knn.score(X_test, y_test)\n", + "print(\"Accuracy: {:.2f}\".format(accuracy))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Using the PCA, the prediction is very good." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Reducing and visualizing using t-SNE" + ] + }, + { + "cell_type": "code", + "execution_count": 165, + "metadata": {}, + "outputs": [], + "source": [ + "df_encoded_tsne = df_encoded_pca.copy()" + ] + }, + { + "cell_type": "code", + "execution_count": 166, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "tsne = TSNE(n_components=2)\n", + "\n", + "# fit and transform the data to two dimensions\n", + "tsne_data = tsne.fit_transform(df_encoded_tsne)\n", + "\n", + "# create a scatter plot of the t-SNE representation of the data\n", + "plt.scatter(tsne_data[:, 0], tsne_data[:, 1])\n", + "plt.xlabel('t-SNE Component 1')\n", + "plt.ylabel('t-SNE Component 2')\n", + "plt.title('t-SNE Scatter Plot')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 167, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Accuracy: 1.00\n" + ] + } + ], + "source": [ + "X = tsne_data[:, :2]\n", + "y = df_encoded_tsne['Species']\n", + "\n", + "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n", + "\n", + "knn = KNeighborsClassifier(n_neighbors=5)\n", + "\n", + "knn.fit(X_train, y_train)\n", + "\n", + "accuracy = knn.score(X_test, y_test)\n", + "print(\"Accuracy: {:.2f}\".format(accuracy))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Also with the t-SNE the prediction is very good." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Using the default values the result is strange, even with this method, the clusters pop out very well.\n", + "\n", + "## 12 Model selection and evaluation\n", + "\n", + "Based on the insights gained from EDA, choose the appropriate machine learning model(s) for your problem. Evaluate the performance of the model(s) using appropriate evaluation metrics and cross-validation techniques. Iterate on the model, features, or data preprocessing steps to improve performance, if necessary.\n", + "\n", + "For this step I will use the encoded and normalized dataset. I will use the KNN classifier. I will use the cross-validation to evaluate the model.\n", + "\n", + "At this point I use the KNN because I want a distance-based classifier, and I think it's the best choice for this dataset. I will use the cross-validation to evaluate the model. Moreover, This TP is not intended to train the perfect model, but to show the process of data analysis. However, I will with other models to see how they perform.\n", + "\n", + "I will try to predict the species." + ] + }, + { + "cell_type": "code", + "execution_count": 168, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Individual IDClutch CompletionDate EggCulmen Length (mm)Culmen Depth (mm)Flipper Length (mm)Body Mass (g)SexDelta 15 N (o/oo)Delta 13 C (o/oo)studyName_PAL0708studyName_PAL0809studyName_PAL0910Island_BiscoeIsland_DreamIsland_Torgersen
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46716.00.2618180.8928570.3050850.26388920.4315320.5325161.00.00.00.00.01.0
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" + ], + "text/plain": [ + " Individual ID Clutch Completion Date Egg Culmen Length (mm) \\\n", + "0 22 1 2.0 0.254545 \n", + "1 23 1 2.0 0.269091 \n", + "2 44 1 6.0 0.298182 \n", + "3 66 1 6.0 0.167273 \n", + "4 67 1 6.0 0.261818 \n", + "\n", + " Culmen Depth (mm) Flipper Length (mm) Body Mass (g) Sex \\\n", + "0 0.666667 0.152542 0.291667 2 \n", + "1 0.511905 0.237288 0.305556 1 \n", + "2 0.583333 0.389831 0.152778 1 \n", + "3 0.738095 0.355932 0.208333 1 \n", + "4 0.892857 0.305085 0.263889 2 \n", + "\n", + " Delta 15 N (o/oo) Delta 13 C (o/oo) studyName_PAL0708 studyName_PAL0809 \\\n", + "0 0.460122 0.412350 1.0 0.0 \n", + "1 0.550450 0.719311 1.0 0.0 \n", + "2 0.307537 0.521692 1.0 0.0 \n", + "3 0.473964 0.524404 1.0 0.0 \n", + "4 0.431532 0.532516 1.0 0.0 \n", + "\n", + " studyName_PAL0910 Island_Biscoe Island_Dream Island_Torgersen \n", + "0 0.0 0.0 0.0 1.0 \n", + "1 0.0 0.0 0.0 1.0 \n", + "2 0.0 0.0 0.0 1.0 \n", + "3 0.0 0.0 0.0 1.0 \n", + "4 0.0 0.0 0.0 1.0 " + ] + }, + "execution_count": 168, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "y_knn = penguin_manager.get_df(as_copy=True)[\"Species\"]\n", + "X_knn = penguin_manager.get_df(as_copy=True).drop(columns=[\"Species\"])\n", + "\n", + "cols_to_label_encode_knn = ['Clutch Completion', 'Sex', 'Individual ID']\n", + "cols_to_ordinal_encode_knn = [\"Date Egg\"]\n", + "cols_to_onehot_encode_knn = ['studyName', 'Island']\n", + "\n", + "penguin_manager_knn = EncoderManager(X_knn, cols_to_label_encode_knn, cols_to_ordinal_encode_knn, cols_to_onehot_encode_knn)\n", + "\n", + "X_knn_encoded = penguin_manager_knn.encode(inplace=False)\n", + "X_knn_encoded.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 169, + "metadata": {}, + "outputs": [], + "source": [ + "# split the data\n", + "X_train_model, X_test_model, y_train_model, y_test_model = train_test_split(X_knn_encoded, y_knn, test_size=0.2, random_state=42)" + ] + }, + { + "cell_type": "code", + "execution_count": 170, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Knn score: 0.9130434782608695\n", + "KMeans score: 0.09537487102572052\n", + "Gauss score: 0.8840579710144928\n", + "RFC score: 0.9710144927536232\n", + "Logistic Regression: 0.9710144927536232\n", + "C-Support Vector: 1.0\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\stefa\\miniconda3\\envs\\MchineLearning\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py:458: ConvergenceWarning: lbfgs failed to converge (status=1):\n", + "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n", + "\n", + "Increase the number of iterations (max_iter) or scale the data as shown in:\n", + " https://scikit-learn.org/stable/modules/preprocessing.html\n", + "Please also refer to the documentation for alternative solver options:\n", + " https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n", + " n_iter_i = _check_optimize_result(\n" + ] + } + ], + "source": [ + "from sklearn.metrics import rand_score, adjusted_rand_score\n", + "from sklearn import svm\n", + "from sklearn.naive_bayes import GaussianNB\n", + "from sklearn.ensemble import RandomForestClassifier\n", + "from sklearn.linear_model import LogisticRegression\n", + "from sklearn.cluster import KMeans\n", + "\n", + "knn = KNeighborsClassifier(n_neighbors=5).fit(X_train_model, y_train_model)\n", + "y_pred_knn = knn.predict(X_test_model)\n", + "print(f\"Knn score: {accuracy_score(y_pred_knn, y_test_model)}\")\n", + "\n", + "warnings.filterwarnings(\"ignore\")\n", + "kmeans = KMeans(n_clusters=3, random_state=42, n_init=\"auto\").fit(X_train_model, y_train_model)\n", + "print(f\"KMeans score: {adjusted_rand_score(y_train_model, kmeans.labels_)}\")\n", + "warnings.filterwarnings(\"default\")\n", + "\n", + "gnb = GaussianNB().fit(X_train_model, y_train_model)\n", + "y_pred_gnb = gnb.predict(X_test_model)\n", + "print(f\"Gauss score: {accuracy_score(y_pred_gnb, y_test_model)}\")\n", + "\n", + "rfc = RandomForestClassifier(n_estimators=50, criterion=\"gini\").fit(X_train_model, y_train_model)\n", + "y_pred_rfc = rfc.predict(X_test_model)\n", + "print(f\"RFC score: {accuracy_score(y_pred_rfc, y_test_model)}\")\n", + "\n", + "reg = LogisticRegression(max_iter=50).fit(X_train_model, y_train_model)\n", + "y_pred_reg = reg.predict(X_test_model)\n", + "print(f\"Logistic Regression: {accuracy_score(y_pred_reg, y_test_model)}\")\n", + "\n", + "svc = svm.SVC(kernel=\"linear\", C=1.0).fit(X_train_model, y_train_model)\n", + "y_pred_svc = svc.predict(X_test_model)\n", + "print(f\"C-Support Vector: {accuracy_score(y_pred_svc, y_test_model)}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "I think that this is already a good results for this TP. I will stick with the KNN even if it's not the best accuracy for this dataset, but it has a higher improvement margin. I will try to improve the model by tuning the hyperparameters (which i won't do).\n", + "\n", + "I will use the decision tree to find the most informative features." + ] + }, + { + "cell_type": "code", + "execution_count": 171, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([0.03380558, 0. , 0. , 0.35479631, 0.01317101,\n", + " 0.5319982 , 0. , 0. , 0. , 0.0176711 ,\n", + " 0. , 0. , 0. , 0.0485578 , 0. ,\n", + " 0. ])" + ] + }, + "execution_count": 171, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tree_clf = DecisionTreeClassifier()\n", + "\n", + "tree_clf.fit(X_knn_encoded, y_knn)\n", + "\n", + "feature_importances = tree_clf.feature_importances_\n", + "feature_importances" + ] + }, + { + "cell_type": "code", + "execution_count": 172, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1. feature 5 (0.531998)\n", + "2. feature 3 (0.354796)\n", + "3. feature 13 (0.048558)\n", + "4. feature 0 (0.033806)\n", + "5. feature 9 (0.017671)\n", + "6. feature 4 (0.013171)\n", + "7. feature 15 (0.000000)\n", + "8. feature 14 (0.000000)\n", + "9. feature 12 (0.000000)\n", + "10. feature 11 (0.000000)\n", + "11. feature 10 (0.000000)\n", + "12. feature 8 (0.000000)\n", + "13. feature 7 (0.000000)\n", + "14. feature 6 (0.000000)\n", + "15. feature 2 (0.000000)\n", + "16. feature 1 (0.000000)\n" + ] + } + ], + "source": [ + "indices = feature_importances.argsort()[::-1]\n", + "\n", + "for f in range(X_knn_encoded.shape[1]):\n", + " print(\"%d. feature %d (%f)\" % (f + 1, indices[f], feature_importances[indices[f]]))" + ] + }, + { + "cell_type": "code", + "execution_count": 173, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fi = pd.DataFrame({\n", + " 'feature': X_knn_encoded.columns,\n", + " 'importance': tree_clf.feature_importances_\n", + "})\n", + "\n", + "# ordina le feature importances in ordine decrescente\n", + "fi = fi.sort_values(by='importance', ascending=False)\n", + "\n", + "# crea un grafico delle feature importances\n", + "plt.figure(figsize=(10, 6))\n", + "plt.bar(fi['feature'], fi['importance'])\n", + "plt.xticks(rotation=90)\n", + "plt.xlabel('Feature')\n", + "plt.ylabel('Importance')\n", + "plt.title('Feature Importances')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "it seems that only the 6 features are important, i will try to retrain the model only with them." + ] + }, + { + "cell_type": "code", + "execution_count": 174, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Flipper Length (mm)Culmen Length (mm)Island_BiscoeIndividual IDDelta 13 C (o/oo)Delta 15 N (o/oo)Sex
3220.9491530.6181821.0310.3796220.4291002
1160.4576270.1890910.01130.2017290.7789652
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" + ], + "text/plain": [ + " Flipper Length (mm) Culmen Length (mm) Island_Biscoe Individual ID \\\n", + "322 0.949153 0.618182 1.0 31 \n", + "116 0.457627 0.189091 0.0 113 \n", + "113 0.322034 0.272727 1.0 108 \n", + "42 0.406780 0.436364 0.0 39 \n", + "126 0.389831 0.341818 0.0 131 \n", + "\n", + " Delta 13 C (o/oo) Delta 15 N (o/oo) Sex \n", + "322 0.379622 0.429100 2 \n", + "116 0.201729 0.778965 2 \n", + "113 0.070866 0.491998 1 \n", + "42 0.771173 0.670639 2 \n", + "126 0.307669 0.373327 2 " + ] + }, + "execution_count": 174, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "X_train_knn_sim = X_train_model[[\"Flipper Length (mm)\", \"Culmen Length (mm)\", \"Island_Biscoe\", \"Individual ID\", \"Delta 13 C (o/oo)\", \"Delta 15 N (o/oo)\", \"Sex\"]]\n", + "\n", + "X_test_knn_sim = X_test_model[[\"Flipper Length (mm)\", \"Culmen Length (mm)\", \"Island_Biscoe\", \"Individual ID\", \"Delta 13 C (o/oo)\", \"Delta 15 N (o/oo)\", \"Sex\"]]\n", + "\n", + "X_test_knn_sim.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 175, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Accuracy: 0.5797101449275363\n" + ] + } + ], + "source": [ + "knn_sim = KNeighborsClassifier(n_neighbors=5)\n", + "\n", + "# fit the model\n", + "knn.fit(X_train_knn_sim, y_train_model)\n", + "\n", + "# predict\n", + "y_pred_knn = knn.predict(X_test_knn_sim)\n", + "\n", + "# evaluate\n", + "print(\"Accuracy:\", accuracy_score(y_test_model, y_pred_knn))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "I had to try, but this want a good idea. I will use the original dataset.\n", + "\n", + "## 14 Report and communicate findings\n", + "\n", + "Summarize your findings from the EDA and document any insights, patterns, or relationships discovered during the process. Use clear visualizations and concise language to communicate your results to stakeholders.\n", + "\n", + "### Summary\n", + "\n", + "This dataset contains data about penguins. Some features are useless and can be ignored, but the other are useful to some information. FOr instance the species of the penguin. But other columns could be predicted. Some correlation is present with the sex of the penguin, as well as the others like the island, the flipper length and the culmen length. Also, the BMI seems to have a good predictability index.\n", + "\n", + "I manged to predict the species with a good accuracy, but I think that the model could be improved. I think that the dataset may be too small to train a good model, and the client should sample more data.\n", + "\n", + "It would be nice to apply a classificator (class = day) on the date without the year, on the date egg date, to predict futures egg dates in the year, but it would require a lot more samples since the final classes would be 365. An interesting information to add could be the date the egg opened, this would allow the prediction the egg birthdate.\n", + "\n", + "No outliers were not found, but some missing data were present.\n", + "\n", + "Overall the missing data wasn't too much, and it was possible to manage it. Only 3 rows were dropped.\n", + "\n", + "A problem could be the imbalance to some feature, for instance, it would not be possible to predict the clutch completion because the model would be too biased, trying balance it would not be possible otherwise it would result in too few data.\n", + "\n", + "Moreover, the client should sample more data about the Chinstrap penguin.\n", + "\n", + "It could be interesting to have the data about the behaviour to see how they could help to predict others features, or how the other features could predict the behaviour." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.16" + } + }, + "nbformat": 4, + "nbformat_minor": 1 +} 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z@#-!l8!S87Xxe+~b=`lkM|E5APa^7zkp?S8ZFhWG31&%E^6(iiS~ zW@zrf16yBhek~)o5E5d-%u`~0`dS{4n| z71I}Xf6^$f#^k>uB`eW;$yiB}#Icg(0y(T?Ur&2Stw7H3wW9g~5E-tTb!1hV#8mXj zy2>=IL(p*TJdJ*r7J*5h3ZIc)Ae2*@267s3=NupXDslNoo<=gP!6gOsxiBBNghd|6 z(=;N&0y3S_oVO}n3ypP%kc1C1D2Vbj@Oj}1`bOaaP^M3HElMle%p47Cj#y7Z6GFx4 z3%W&ze3u_9gmwkpFkkSvydft;2!n!=%0TrH(r`Tt44953KESe*`Lyvt5QH|7VXZ0X zh9u`xxk5Oj02)umVj;0$Kf>0s{g6mixbGwxi$V~%3@u^8)K<^~*G{BrMR?TD>ZK#YT>q8kag3CZjm9D=CN%Ix$#R6UHu|FNtz>pl*mB8Y zM&T@o4F!FX57Kx8pNqDzKI>vSRynD8txygpa%^g6oTO2{80SzVjY06)h%B7g$_w~L zx)$Y~H!K!ZKn-Ad5;k>;j=Rw3LT(42fzL1+nl3Ik&~c=~{-WtjB|1v*TWUmyBW#rPC_h{pna6nQrti}}1{z5zZ9$%zc&Gpz2bXkkCLJ^|~g zbU$dUXZ1}(UC;9iwgb`6ggHY%M-U zzCMgC?olw2*A!%X!EFEf(Ab?&24mT2V8gc~J1HDS#4@y02I@h=N)HXLa zE$!UWUVc7mTGHK({})l}%<$ip+q*itGnlCSG}T*L(^D!xOHn(mgsE+4xOH*sKcX9M AoB#j- literal 0 HcmV?d00001 diff --git a/README.md b/README.md new file mode 100644 index 0000000..7d8375e --- /dev/null +++ b/README.md @@ -0,0 +1,4551 @@ +# Exploratory Data Analysis + +The goal of this notebook is to explore the data and get a better understanding of the data with the idea of to create the best penguin classifier. + +## Steps + +- 1 Understanding the dataset +- 2 Load the dataset +- 3 Inspect the dataset +- 4 Data type conversion +- 5 Identify missing values +- 6 Detect and handle outliers +- 7 Analyze relationships between variables +- 8 Explore categorical variables +- 9 Impute missing values +- 10 Normalize and scale data +- 11 Pandas Profiling +- 12 Clustering, dimension reduction with PCA +- 13 Model selection and evaluation +- 14 Report and communicate findings + +## 1) Understanding the dataset + +Start familiarizing with the dataset. Understand the context, the purpose of the data, and the problem trying to solve. Look for documentation or metadata that provides information about the dataset, its variables, and its source. + +### Columns description + +- studyName: The name of the study that collected the data. (Categorical) +- Sample Number: A unique identifier for each sample in the dataset. (Categorical) +- Species: The species of the penguin (e.g., Adelie Penguin). (Categorical) +- Region: The region where the penguin was observed. (Categorical) +- Island: The island where the penguin was observed. (Categorical) +- Stage: The stage of the penguin's life cycle at the time of observation (e.g., Adult, 1 Egg Stage). (Categorical) +- Individual ID: A unique identifier for each individual penguin. (Categorical) +- Clutch Completion: Whether the penguin has completed its clutch (a set of eggs laid by a bird). (Categorical - Binary) +- Date Egg: The date the egg was observed. (Datetime) +- Culmen Length (mm): The length of the penguin's culmen (the upper ridge of a bird's beak) in millimeters. (Numerical - Discrete) +- Culmen Depth (mm): The depth of the penguin's culmen in millimeters. (Numerical - Discrete) +- Flipper Length (mm): The length of the penguin's flipper (wing) in millimeters. (Numerical - Discrete) +- Body Mass (g): The body mass of the penguin in grams. (Numerical - Discrete) +- Sex: The sex of the penguin (Male, Female). (Categorical - Binary) +- Delta 15 N (o/oo): The ratio of stable isotopes of nitrogen (15N/14N) in the penguin's blood, indicating the penguin's trophic level. (Numerical - Continuous) +- Delta 13 C (o/oo): The ratio of stable isotopes of carbon (13C/12C) in the penguin's blood, indicating the penguin's foraging habitat. (Numerical - Continuous) +- Comments: Additional comments related to the penguin or the sample. (Text) + +### First impressions + +The dataset contains several variables, such as: + +- Species: The species of the penguin (e.g., Adelie, Gentoo, Chinstrap). +- Island: The island where the penguin was observed. +- Culmen Length and Culmen Depth: Measurements of the penguin's beak, which can be useful for differentiating between species and understanding feeding habits. +- Flipper Length and Body Mass: Measurements of the penguin's body size, which can be indicators of their overall health, age, and ability to swim or dive. +- Sex: The sex of the penguin. +- Delta 15 N and Delta 13 C: Isotopic ratios that can provide information about the penguin's diet, foraging ecology, and trophic position within the food web. + +I can already see that some data are missing, and I will need to deal with them later. + +The "Species" column contains the common name and the (scientific name). Keeping both' doesn't add any value to our analysis. + +The "Sample Number" is a unique identifier for each sample, so it will not be useful for our analysis. + +The "IndividualID" may be useful to identify the penguins, but I will need to check if it is unique. + +The "Stage" column contains only a value, so it will not be useful for our analysis. + +The "Sex" feature contains a binary value, some values are missing and some are wrong. + +The "Date Egg" column is a trying and needs to be converted to a datetime format. + +Some sample are missing many values, and we will need to decide if we want to keep them or not. + +Overall, the dataset is a study on penguins. It seems they were studying the morphological characteristics and the isotopic signatures of different species and geographic areas. Also, they keep track of they egg and the clutch completion. + +## 2) Load the dataset + +Importing the data into the notebook using padnas. And check the correct interpretation. + + +```python +# Import libraries +import pandas as pd +import numpy as np +import seaborn as sns +import matplotlib.pyplot as plt +import warnings +from sklearn.decomposition import PCA +from sklearn.manifold import TSNE +from ydata_profiling import ProfileReport +from sklearn.model_selection import train_test_split +from sklearn.neighbors import KNeighborsClassifier +from sklearn.metrics import accuracy_score +from sklearn.tree import DecisionTreeClassifier +``` + + +```python +# Load the dataset +df = pd.read_csv('data/penguins.csv') +df.head() +``` + + + + +

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
studyNameSample NumberSpeciesRegionIslandStageIndividual IDClutch CompletionDate EggCulmen Length (mm)Culmen Depth (mm)Flipper Length (mm)Body Mass (g)SexDelta 15 N (o/oo)Delta 13 C (o/oo)Comments
0PAL07081Adelie Penguin (Pygoscelis adeliae)AnversTorgersenAdult, 1 Egg StageN1A1Yes11/11/0739.118.7181.03750.0MALENaNNaNNot enough blood for isotopes.
1PAL07082Adelie Penguin (Pygoscelis adeliae)AnversTorgersenAdult, 1 Egg StageN1A2Yes11/11/0739.517.4186.03800.0FEMALE8.94956-24.69454NaN
2PAL07083Adelie Penguin (Pygoscelis adeliae)AnversTorgersenAdult, 1 Egg StageN2A1Yes11/16/0740.318.0195.03250.0FEMALE8.36821-25.33302NaN
3PAL07084Adelie Penguin (Pygoscelis adeliae)AnversTorgersenAdult, 1 Egg StageN2A2Yes11/16/07NaNNaNNaNNaNNaNNaNNaNAdult not sampled.
4PAL07085Adelie Penguin (Pygoscelis adeliae)AnversTorgersenAdult, 1 Egg StageN3A1Yes11/16/0736.719.3193.03450.0FEMALE8.76651-25.32426NaN
+
+ + + +The dataset seems correctly loaded. + +## 3) Inspect the dataset + +Use functions like head(), tail(), info() or describe() to get an overview of the dataset, its shape, and basic summary statistics to identify any immediate issues or patterns in the data. + + +```python +df.shape +``` + + + + + (344, 17) + + + + +```python +df.head() +``` + + + + +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
studyNameSample NumberSpeciesRegionIslandStageIndividual IDClutch CompletionDate EggCulmen Length (mm)Culmen Depth (mm)Flipper Length (mm)Body Mass (g)SexDelta 15 N (o/oo)Delta 13 C (o/oo)Comments
0PAL07081Adelie Penguin (Pygoscelis adeliae)AnversTorgersenAdult, 1 Egg StageN1A1Yes11/11/0739.118.7181.03750.0MALENaNNaNNot enough blood for isotopes.
1PAL07082Adelie Penguin (Pygoscelis adeliae)AnversTorgersenAdult, 1 Egg StageN1A2Yes11/11/0739.517.4186.03800.0FEMALE8.94956-24.69454NaN
2PAL07083Adelie Penguin (Pygoscelis adeliae)AnversTorgersenAdult, 1 Egg StageN2A1Yes11/16/0740.318.0195.03250.0FEMALE8.36821-25.33302NaN
3PAL07084Adelie Penguin (Pygoscelis adeliae)AnversTorgersenAdult, 1 Egg StageN2A2Yes11/16/07NaNNaNNaNNaNNaNNaNNaNAdult not sampled.
4PAL07085Adelie Penguin (Pygoscelis adeliae)AnversTorgersenAdult, 1 Egg StageN3A1Yes11/16/0736.719.3193.03450.0FEMALE8.76651-25.32426NaN
+
+ + + + +```python +df.info() +``` + + + RangeIndex: 344 entries, 0 to 343 + Data columns (total 17 columns): + # Column Non-Null Count Dtype + --- ------ -------------- ----- + 0 studyName 344 non-null object + 1 Sample Number 344 non-null int64 + 2 Species 344 non-null object + 3 Region 344 non-null object + 4 Island 344 non-null object + 5 Stage 344 non-null object + 6 Individual ID 344 non-null object + 7 Clutch Completion 344 non-null object + 8 Date Egg 344 non-null object + 9 Culmen Length (mm) 342 non-null float64 + 10 Culmen Depth (mm) 342 non-null float64 + 11 Flipper Length (mm) 342 non-null float64 + 12 Body Mass (g) 342 non-null float64 + 13 Sex 334 non-null object + 14 Delta 15 N (o/oo) 330 non-null float64 + 15 Delta 13 C (o/oo) 331 non-null float64 + 16 Comments 26 non-null object + dtypes: float64(6), int64(1), object(10) + memory usage: 45.8+ KB + + + +```python +df.describe() +``` + + + + +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Sample NumberCulmen Length (mm)Culmen Depth (mm)Flipper Length (mm)Body Mass (g)Delta 15 N (o/oo)Delta 13 C (o/oo)
count344.000000342.000000342.000000342.000000342.000000330.000000331.000000
mean63.15116343.92193017.151170200.9152054201.7543868.733382-25.686292
std40.4301995.4595841.97479314.061714801.9545360.5517700.793961
min1.00000032.10000013.100000172.0000002700.0000007.632200-27.018540
25%29.00000039.22500015.600000190.0000003550.0000008.299890-26.320305
50%58.00000044.45000017.300000197.0000004050.0000008.652405-25.833520
75%95.25000048.50000018.700000213.0000004750.0000009.172123-25.062050
max152.00000059.60000021.500000231.0000006300.00000010.025440-23.787670
+
+ + + + +```python +# get the number of unique values for each column +df.nunique() +``` + + + + + studyName 3 + Sample Number 152 + Species 3 + Region 1 + Island 3 + Stage 1 + Individual ID 190 + Clutch Completion 2 + Date Egg 50 + Culmen Length (mm) 164 + Culmen Depth (mm) 80 + Flipper Length (mm) 55 + Body Mass (g) 94 + Sex 3 + Delta 15 N (o/oo) 330 + Delta 13 C (o/oo) 331 + Comments 7 + dtype: int64 + + + + +```python +# remove the columns with only one unique value because are useless for the analysis but +# keep it in a separate dataframe +df_unique = df.loc[:, df.nunique() == 1] +df_unique.head() +``` + + + + +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
RegionStage
0AnversAdult, 1 Egg Stage
1AnversAdult, 1 Egg Stage
2AnversAdult, 1 Egg Stage
3AnversAdult, 1 Egg Stage
4AnversAdult, 1 Egg Stage
+
+ + + + +```python +# drop the columns with only one unique value +df.drop(df_unique.columns, axis=1, inplace=True) +``` + + +```python +# list all comments +df['Comments'].unique() +``` + + + + + array(['Not enough blood for isotopes.', nan, 'Adult not sampled.', + 'Nest never observed with full clutch.', + 'No blood sample obtained.', + 'No blood sample obtained for sexing.', + 'Nest never observed with full clutch. Not enough blood for isotopes.', + 'Sexing primers did not amplify. Not enough blood for isotopes.'], + dtype=object) + + + + +```python +# shows the blood info column that has a comment and its comment +df[df['Comments'].notnull()][['Sex', 'Clutch Completion', 'Delta 15 N (o/oo)', 'Delta 13 C (o/oo)', 'Comments']] +``` + + + + +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
SexClutch CompletionDelta 15 N (o/oo)Delta 13 C (o/oo)Comments
0MALEYesNaNNaNNot enough blood for isotopes.
3NaNYesNaNNaNAdult not sampled.
6FEMALENo9.18718-25.21799Nest never observed with full clutch.
7MALENo9.46060-24.89958Nest never observed with full clutch.
8NaNYesNaNNaNNo blood sample obtained.
9NaNYes9.13362-25.09368No blood sample obtained for sexing.
10NaNYes8.63243-25.21315No blood sample obtained for sexing.
11NaNYesNaNNaNNo blood sample obtained.
12FEMALEYesNaNNaNNot enough blood for isotopes.
13MALEYesNaNNaNNot enough blood for isotopes.
15FEMALEYesNaNNaNNot enough blood for isotopes.
28FEMALENo8.38404-25.19837Nest never observed with full clutch.
29MALENo8.90027-25.11609Nest never observed with full clutch.
38FEMALENo9.41131-25.04169Nest never observed with full clutch.
39MALENoNaNNaNNest never observed with full clutch. Not enou...
41MALEYesNaNNaNNot enough blood for isotopes.
46MALEYesNaNNaNNot enough blood for isotopes.
47NaNYesNaNNaNSexing primers did not amplify. Not enough blo...
68FEMALENo8.47781-26.07821Nest never observed with full clutch.
69MALENo8.86853-26.06209Nest never observed with full clutch.
120FEMALENo9.04296-26.19444Nest never observed with full clutch.
121MALENo9.11066-26.42563Nest never observed with full clutch.
130FEMALENo8.98460-25.57956Nest never observed with full clutch.
131MALENo8.86495-26.13960Nest never observed with full clutch.
138FEMALENo8.61651-26.07021Nest never observed with full clutch.
139MALENo9.25769-25.88798Nest never observed with full clutch.
+
+ + + + +```python +# drop the comments useless column +df.drop('Comments', axis=1, inplace=True) +df.head() +``` + + + + +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
studyNameSample NumberSpeciesIslandIndividual IDClutch CompletionDate EggCulmen Length (mm)Culmen Depth (mm)Flipper Length (mm)Body Mass (g)SexDelta 15 N (o/oo)Delta 13 C (o/oo)
0PAL07081Adelie Penguin (Pygoscelis adeliae)TorgersenN1A1Yes11/11/0739.118.7181.03750.0MALENaNNaN
1PAL07082Adelie Penguin (Pygoscelis adeliae)TorgersenN1A2Yes11/11/0739.517.4186.03800.0FEMALE8.94956-24.69454
2PAL07083Adelie Penguin (Pygoscelis adeliae)TorgersenN2A1Yes11/16/0740.318.0195.03250.0FEMALE8.36821-25.33302
3PAL07084Adelie Penguin (Pygoscelis adeliae)TorgersenN2A2Yes11/16/07NaNNaNNaNNaNNaNNaNNaN
4PAL07085Adelie Penguin (Pygoscelis adeliae)TorgersenN3A1Yes11/16/0736.719.3193.03450.0FEMALE8.76651-25.32426
+
+ + + + +```python +# count the number of "sample number" unique repetitions +df['Sample Number'].value_counts() +``` + + + + + 1 3 + 45 3 + 52 3 + 51 3 + 50 3 + .. + 129 1 + 128 1 + 127 1 + 126 1 + 152 1 + Name: Sample Number, Length: 152, dtype: int64 + + + + +```python +# drop the sample number column +df.drop('Sample Number', axis=1, inplace=True) + +df.head() +``` + + + + +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
studyNameSpeciesIslandIndividual IDClutch CompletionDate EggCulmen Length (mm)Culmen Depth (mm)Flipper Length (mm)Body Mass (g)SexDelta 15 N (o/oo)Delta 13 C (o/oo)
0PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN1A1Yes11/11/0739.118.7181.03750.0MALENaNNaN
1PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN1A2Yes11/11/0739.517.4186.03800.0FEMALE8.94956-24.69454
2PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN2A1Yes11/16/0740.318.0195.03250.0FEMALE8.36821-25.33302
3PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN2A2Yes11/16/07NaNNaNNaNNaNNaNNaNNaN
4PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN3A1Yes11/16/0736.719.3193.03450.0FEMALE8.76651-25.32426
+
+ + + +The dataset consist in 17 features and 344 samples. The dataset contains 7 pure numerical features. Many values are missing and have been replaced by NaN. The dataset has 1 date feature. Some columns are clearly useless. + +The numerical features have different scales, and could be useful to apply some scaling later. Also, these values are not too big, therefore should not be a problem to manipulate them. + +Also, the columns "Region" and "Stage" have been dropped because they contain only one value. + +The "comments" columns contains 26 non-null values where only 6 are comments, this comments basically says that they couldn't get the sample since the blood wasn't enough or that "Nest never observed with full clutch". We can say that because the blood information are missing in the first case, or because the column "Clutch completion" is "No", the comments are redundant and can be dropped since they add no information. + +The comment "No blood sample obtained for sexing" indicate that these researchers used the blood sample to determinate the sex, so if +they failed to amplify the DNA or didn't take enough blood, the sex of the penguin will be empty. + +The "Sample Number" column contains 152 unique values, but the column "Individual ID" contains 191 unique values. This means that some samples are from the same penguin. This is may not a problem, but I need to keep it in mind. The total number of samples is 344, but the total number of unique "Sample Number" is 152, this because some penguins have been sampled more than once with the same "Individual ID". And a sample get more individuals in one go. This means I can drop the sample ID because is an arbitrary number that add no information other than a chronological order, which is already in the date feature, but I will keep the Individual ID. + +The "Study number" may also be dropped since there is logic correlation and seems less important at this point, but I will keep it for now. + +## 4 Data type conversion + +Ensure that each variable is of the appropriate data type (e.g., numeric, categorical, datetime). +Convert any variables with incorrect data types. +Convert with LabelEncoder or OrdinalEncoder. + +In the step 3 I found out many columns that need to be converted to the correct data type. + +For this step I looked at the values of the non-numerical columns, if they are non-ordinal and only 2 values are possible (eg: sex) +I will use the LabelEncoder, if more than 2 values are possible I will use the OneHotEncoder (eg: species). +If the values are ordinal I will use the OrdinalEncoder. + +Since the "Individual ID" is non-ordinal but contains a lot of unique values, I will encode is with the label encoder +because the one-hot encoder could generate too many columns. I could then reduce the number of columns with a PCA, but this +may start to be too complicated for a TP. + +Also, I will convert the "Date Egg" column to a datetime format. + +To simplify the coding and encoding I wrote a convenience class that will do all the work for me. + + +```python +# Import the custom EncoderManager class +%load_ext autoreload +%autoreload 2 + +from lib.EncoderManager import EncoderManager +``` + + The autoreload extension is already loaded. To reload it, use: + %reload_ext autoreload + + + +```python +# list of non-numerical columns and the count of their unique values +df.select_dtypes(exclude='number').nunique() +``` + + + + + studyName 3 + Species 3 + Island 3 + Individual ID 190 + Clutch Completion 2 + Date Egg 50 + Sex 3 + dtype: int64 + + + + +```python +# Convert to date with pandas.to_datetime +df['Date Egg'] = pd.to_datetime(df['Date Egg']) + +# Define the columns to encode with LabelEncoder +columns_to_label_encode = ['Clutch Completion', 'Sex', 'Individual ID'] + +# Define the columns to encode with OrdinalEncoder +# since the date type gives me many problem il convert it to ordinal +# however, this column is not very interesting for the prediction +columns_to_ordinal_encode = ["Date Egg"] + +# Define the columns to encode with OneHotEncoder +columns_to_onehot_encode = ['studyName', 'Species', 'Island'] +``` + + +```python +penguin_manager = EncoderManager(df, columns_to_label_encode, columns_to_ordinal_encode, columns_to_onehot_encode) + +penguin_manager.encode(inplace=True).get_df() +``` + + + + +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Individual IDClutch CompletionDate EggCulmen Length (mm)Culmen Depth (mm)Flipper Length (mm)Body Mass (g)SexDelta 15 N (o/oo)Delta 13 C (o/oo)studyName_PAL0708studyName_PAL0809studyName_PAL0910Species_Adelie Penguin (Pygoscelis adeliae)Species_Chinstrap penguin (Pygoscelis antarctica)Species_Gentoo penguin (Pygoscelis papua)Island_BiscoeIsland_DreamIsland_Torgersen
02212.039.118.7181.03750.02NaNNaN1.00.00.01.00.00.00.00.01.0
12312.039.517.4186.03800.018.94956-24.694541.00.00.01.00.00.00.00.01.0
24416.040.318.0195.03250.018.36821-25.333021.00.00.01.00.00.00.00.01.0
34516.0NaNNaNNaNNaN3NaNNaN1.00.00.01.00.00.00.00.01.0
46616.036.719.3193.03450.018.76651-25.324261.00.00.01.00.00.00.00.01.0
............................................................
33963049.0NaNNaNNaNNaN3NaNNaN0.00.01.00.00.01.01.00.00.0
34064145.046.814.3215.04850.018.41151-26.138320.00.01.00.00.01.01.00.00.0
34165145.050.415.7222.05750.028.30166-26.041170.00.01.00.00.01.01.00.00.0
34274145.045.214.8212.05200.018.24246-26.119690.00.01.00.00.01.01.00.00.0
34375145.049.916.1213.05400.028.36390-26.155310.00.01.00.00.01.01.00.00.0
+

344 rows × 19 columns

+
+ + + + +```python +penguin_manager = EncoderManager(df, columns_to_label_encode, columns_to_ordinal_encode, columns_to_onehot_encode) +df = penguin_manager.get_df() +df["Species"].unique() +``` + + + + + array(['Adelie Penguin (Pygoscelis adeliae)', + 'Chinstrap penguin (Pygoscelis antarctica)', + 'Gentoo penguin (Pygoscelis papua)'], dtype=object) + + + + +```python +df = penguin_manager.get_df() +df["Island"].unique() +``` + + + + + array(['Torgersen', 'Biscoe', 'Dream'], dtype=object) + + + + +```python +df = penguin_manager.get_df() +df["studyName"].unique() +``` + + + + + array(['PAL0708', 'PAL0809', 'PAL0910'], dtype=object) + + + +So now I have a correctly encoded dataset, and I can easily decode it back to the original format with the penguin_manager.decode() method. + +## 5 Identify missing values + +Determine the extent of missing values in the dataset by calculating the percentage of missing values for each variable. +Decide whether to impute, drop, or interpolate missing values based on the context and the importance of the variable. + +For this step I will use the library missingno to visualize the missing values. Missingno is a library specialized in visualize the *missing values* in a dataset in a very intuitive way. + + +```python +# if uncommented, install missingno if not already installed +# !pip install missingno +# note: to works it need matplotlib=3.5.0 +import missingno as msno +``` + + +```python +# visualize a matrix of the missing values +warnings.filterwarnings('ignore') +msno.matrix(penguin_manager.get_df()) +warnings.filterwarnings('default') +``` + + + +![png](output_28_0.png) + + + +With this matrix plot in particular we can see which column has missing value (axis x) in function of the sample index (axis y). Also, on the right side there is a line that shows the number of non-missing in that "zone" of the matrix. + +With this we can also see if some zone contains the missing values are missing in a specific zone, in more columns together, or if they are missing randomly. + +In this dataset we see that the 2 blood measures are missing together. Which il logic if we think that those aren't taken if they could get enough blood from the penguin. The measures of the anatomical parts also tend to miss together. Also, we see some missing values in the "sex" column. Later in this step i want to see if this value could be inferred by another sample of the same penguin "Individual ID". Or maybe, since usually sex differences are quite evident, I could try to predict it with a machine learning model. + +We can also see that in the firsts and lasts samples some row are missing many columns, in this case could be simpler to drop those rows because they are missing too many values. + + +```python +# get an idea of what to expect in terms of missing values +penguin_manager.get_df().isna().sum() +``` + + + + + studyName 0 + Species 0 + Island 0 + Individual ID 0 + Clutch Completion 0 + Date Egg 0 + Culmen Length (mm) 2 + Culmen Depth (mm) 2 + Flipper Length (mm) 2 + Body Mass (g) 2 + Sex 10 + Delta 15 N (o/oo) 14 + Delta 13 C (o/oo) 13 + dtype: int64 + + + + +```python +# visualize a bar chart of the missing values +msno.bar(penguin_manager.get_df()) +``` + + + + + + + + + + +![png](output_31_1.png) + + + +With this bar chart we can see that even if some values are missing and at which percentage, overall the dataset is quite complete and quite balanced. Some data is missing in the columns as we seen in the matrix plot. + +With this bar chart we can see that even if some values are missing, overall the dataset is quite complete. + + +```python +# heatmap of the missing values +warnings.filterwarnings('ignore') +msno.heatmap(penguin_manager.get_df()) +warnings.filterwarnings('default') +``` + + + +![png](output_34_0.png) + + + +The nullity correlation heatmap measures how strongly the presence or absence of one variable affects the presence of another. As we noticed before, the blood measures are missing together, and also the anatomical measures are missing together. This is why we see a strong correlation between those columns. For the other columns, we see that there is still a correlation of 0.4, this means that 40% of the values are missing in the same sample which something be aware of. + + +```python +# dendrogram of the missing values +msno.dendrogram(penguin_manager.get_df()) +``` + + + + + + + + + + +![png](output_36_1.png) + + + +The last plot is the dendrogram, which groups together the columns that have missing values in the same samples. We can see that the blood measures are coupled first as expected, the second couple is specie and flipper (and in general all anatomical measures), may be worth to look further into that. + +At this point the first thing to do is to drop the rows that have too many missing values, and then decide what to do with the other missing values. I will drop this values because there is too little information to infer them. + + +```python +# return only the cols with at least 5 missing values +penguin_manager.get_df()[penguin_manager.get_df().isna().sum(axis=1) > 5] +``` + + + + +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
studyNameSpeciesIslandIndividual IDClutch CompletionDate EggCulmen Length (mm)Culmen Depth (mm)Flipper Length (mm)Body Mass (g)SexDelta 15 N (o/oo)Delta 13 C (o/oo)
3PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN2A2Yes2007-11-16NaNNaNNaNNaNNaNNaNNaN
339PAL0910Gentoo penguin (Pygoscelis papua)BiscoeN38A2No2009-12-01NaNNaNNaNNaNNaNNaNNaN
+
+ + + + +```python +# drop the rows with at least 5 missing values +# Note: a faster solution would be to use dropna() with the threshold parameter, but +# after some try I found that it doesn't work and I don't know why +# so this is an alternative solution +missing_vals = penguin_manager.get_df().isna().sum(axis=1) + +drop_rows = missing_vals[missing_vals > 5].index + +penguin_manager.get_df().drop(drop_rows, inplace=True) +penguin_manager.get_df().reset_index(drop=True, inplace=True) + +penguin_manager.get_df()[penguin_manager.get_df().isna().sum(axis=1) > 5] +``` + + + + +
+ + + + + + + + + + + + + + + + + + + + + + +
studyNameSpeciesIslandIndividual IDClutch CompletionDate EggCulmen Length (mm)Culmen Depth (mm)Flipper Length (mm)Body Mass (g)SexDelta 15 N (o/oo)Delta 13 C (o/oo)
+
+ + + + +```python +# check the shape of the dataset +penguin_manager.get_df().shape +``` + + + + + (342, 13) + + + +This dropped 2 rows, which is not a big deal, and now we have a dataset with 334 rows but with way less missing values. + + +```python +# check the missing values +penguin_manager.get_df().isna().sum() +``` + + + + + studyName 0 + Species 0 + Island 0 + Individual ID 0 + Clutch Completion 0 + Date Egg 0 + Culmen Length (mm) 0 + Culmen Depth (mm) 0 + Flipper Length (mm) 0 + Body Mass (g) 0 + Sex 8 + Delta 15 N (o/oo) 12 + Delta 13 C (o/oo) 11 + dtype: int64 + + + +There is still a problem with the columns "sex", "Delta 15 N (o/oo)", "Delta 13 C (o/oo)". + +First I want to see if the sex of some penguin is in another sample. + + +```python +# get rows with empty values and extract its "Individual ID" +empty_ind_id = penguin_manager.get_df()[penguin_manager.get_df().isna().any(axis=1)]["Individual ID"].unique() +# then get the rows with the same "Individual ID" +row_ind_id = penguin_manager.get_df()[penguin_manager.get_df()["Individual ID"].isin(empty_ind_id)] +# now groups by individual id and see if there are samples with NaNs and not NaNs +row_ind_id_groups = row_ind_id.groupby("Individual ID").apply(lambda x: x.isna().any(axis=1).value_counts()) +# True means that there is at least one NaN in the sample +row_ind_id_groups +``` + + + + + Individual ID + N1A1 True 1 + False 1 + N24A1 False 2 + True 1 + N25A2 True 1 + False 1 + N26A2 True 1 + N29A1 False 2 + True 1 + N29A2 False 2 + True 1 + N46A1 False 1 + True 1 + N50A1 False 1 + True 1 + N51A1 False 1 + True 1 + N5A1 True 1 + False 1 + N5A2 True 1 + False 1 + N6A1 False 2 + True 1 + N6A2 False 2 + True 1 + N7A1 True 1 + False 1 + N7A2 True 1 + False 1 + N8A2 False 2 + True 1 + N96A1 True 1 + dtype: int64 + + + + +```python +# Now groups by individual id and see if there are samples with NaNs and not NaNs in the Sex column +row_ind_id_sex = row_ind_id.groupby("Individual ID").apply(lambda x: x["Sex"].isna().value_counts()) + +# True means that there is at least one NaN in the Sex column +row_ind_id_sex +``` + + + + + Individual ID + N1A1 False 2 + N24A1 False 2 + True 1 + N25A2 False 2 + N26A2 False 1 + N29A1 False 3 + N29A2 False 2 + True 1 + N46A1 False 1 + True 1 + N50A1 False 2 + N51A1 False 1 + True 1 + N5A1 True 1 + False 1 + N5A2 True 1 + False 1 + N6A1 False 2 + True 1 + N6A2 False 2 + True 1 + N7A1 False 2 + N7A2 False 2 + N8A2 False 3 + N96A1 False 1 + Name: Sex, dtype: int64 + + + +Is interesting to see that some individuals have NaNs in some sample but not in others. This means we may know the truth for each sample of these individuals. + +In the case of "Sex" I can directly address that. + + +```python +# get the samples with nans in the column "Sex" +samples_with_nans = penguin_manager.get_df()[penguin_manager.get_df().isna().any(axis=1)] +samples_with_nans = samples_with_nans[samples_with_nans["Sex"].isna()] + +# now for each individual id that have rows with nans get its rows +for individual_id in empty_ind_id: + # get rows with the same individual id + rows = penguin_manager.get_df()[penguin_manager.get_df()["Individual ID"] == individual_id] + + # check if Sex column has a non-null value + sex_values = rows["Sex"].dropna().unique() + if len(sex_values) == 1: + sex = sex_values[0] + # assign sex to all rows with the same individual id + penguin_manager.get_df().loc[penguin_manager.get_df()["Individual ID"] == individual_id, "Sex"] = sex + +# check the empty rows +count_nans = penguin_manager.get_df()["Sex"].isna().sum() +count_nans +``` + + + + + 1 + + + +The code is correct, but it didn't edit the added the sex to the rows. I don't know why, I need to investigate further. + +Let's see the rows that still have NaNs: + + +```python +# print the columns with empty values +penguin_manager.get_df().loc[penguin_manager.get_df().isna().any(axis=1)][["Individual ID", "Sex"]] +``` + + + + +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Individual IDSex
0N1A1MALE
7N5A1FEMALE
10N6A2MALE
11N7A1FEMALE
12N7A2MALE
14N8A2FEMALE
38N25A2MALE
40N26A2MALE
45N29A1MALE
46N29A2MALE
211N96A1MALE
249N50A1MALE
323N24A1NaN
+
+ + + +Apparently the individual ID is not the id of a single penguin, OR the sample have wrong values. OR penguins have the ability to change sex... + +*Note: After some research it turned out that Adélie penguin (Pygoscelis Adelia) e il Chinstrap penguin (Pygoscelis antarctica) and Gentoo penguin (Pygoscelis papua) actually have the ability to change sex...* this is actually something important to keep in mind, and it explains why there are +Individuals with different sex in different samples. This means that would be useless to inference the sex based on the anatomical measures, because they cannot be related, at least not in these 3 species. + +I also mean that in out dataset the only way to know the sex is through blood isotopes, but they are missing for these rows. + +## 6 Detect and handle outliers + +Use techniques like box plots, Z-scores, or IQR to identify potential outliers in the data. Depending on the context, decide whether to remove, transform, or keep outliers. + +Using to describe() before, I had the idea there wasn't anything strange in the dataset, but I want to be sure. So I will look further into it. + + +```python +sns.boxplot(data=penguin_manager.get_df().select_dtypes(include=['float64', 'int64'])) +``` + + + + + + + + + + +![png](output_52_1.png) + + + +The body mass values are in a different range than the other values. + + +```python +numerical_cols = penguin_manager.get_df().select_dtypes(include=['float64', 'int64']) + +# Creare un boxplot per ogni colonna numerica +for col in numerical_cols: + sns.boxplot(x=penguin_manager.get_df()[col]) + plt.title(col) + plt.show() +``` + + + +![png](output_54_0.png) + + + + + +![png](output_54_1.png) + + + + + +![png](output_54_2.png) + + + + + +![png](output_54_3.png) + + + + + +![png](output_54_4.png) + + + + + +![png](output_54_5.png) + + + +There are evident no outliers in the dataset seen with the box plot. + +I will calculate using the standard deviation method. + + +```python +numerical_cols = penguin_manager.get_df().select_dtypes(include=['float64', 'int64']) + +means = numerical_cols.mean() +stds = numerical_cols.std() + +# set the threshold to 3 standard deviations +threshold = 3 + +outliers = pd.DataFrame() + +for col in numerical_cols.columns: + col_outliers = penguin_manager.get_df()[(penguin_manager.get_df()[col] < means[col] - threshold * stds[col]) | + (penguin_manager.get_df()[col] > means[col] + threshold * stds[col])] + col_outliers['feature'] = col + outliers = pd.concat([outliers, col_outliers]) + +outliers.head() +``` + + + + +
+ + + + + + + + + + + + + + + + + + + + + + + +
studyNameSpeciesIslandIndividual IDClutch CompletionDate EggCulmen Length (mm)Culmen Depth (mm)Flipper Length (mm)Body Mass (g)SexDelta 15 N (o/oo)Delta 13 C (o/oo)feature
+
+ + + +Even this method doesn't find any outliers for 3 standard deviations. + +Calculating the z-score (how many st dev from the mean): + + +```python +warnings.filterwarnings('ignore') +!pip install scipy +from scipy.stats import zscore +warnings.filterwarnings('default') +``` + + Requirement already satisfied: scipy in c:\users\stefa\miniconda3\envs\mchinelearning\lib\site-packages (1.9.3) + Requirement already satisfied: numpy<1.26.0,>=1.18.5 in c:\users\stefa\miniconda3\envs\mchinelearning\lib\site-packages (from scipy) (1.23.5) + + + +```python +z_scores = np.abs(zscore(penguin_manager.get_df().select_dtypes(include=['float64', 'int64']))) + +# print the rows with z-score > 3 or < -3 +penguin_manager.get_df()[(z_scores > 3).any(axis=1)] +``` + + + + +
+ + + + + + + + + + + + + + + + + + + + + + +
studyNameSpeciesIslandIndividual IDClutch CompletionDate EggCulmen Length (mm)Culmen Depth (mm)Flipper Length (mm)Body Mass (g)SexDelta 15 N (o/oo)Delta 13 C (o/oo)
+
+ + + +Overall, no outliers have been found. + +At this point I can say that there are no important outliers in the dataset, so I can move on. + +## 7 Analyze relationships between variables + +Using scatter plots, correlation matrices, and cross-tabulations to explore relationships between pairs of variables. This will help identify potential multicollinearity, interactions, or confounding variables that may need to be addressed in your analysis. + +I will create some scatter plot and a bubble plot (no need for both, it's for future reference, where I could add a third numerical dimension) to see if there are some correlations between the features: + + +```python +numerical_cols = penguin_manager.decode().select_dtypes(include=['float64', 'int64']) +columns = numerical_cols.columns + +nrows = len(columns) - 1 +ncols = 2 + +fig, axs = plt.subplots(nrows=nrows, ncols=ncols, figsize=(15, 5 * nrows)) + +for i, col1 in enumerate(columns[:-1]): + for j, col2 in enumerate(columns[i + 1:]): + if j * 2 < ncols: + axs[i, j * 2].scatter(penguin_manager.get_df()[col1], penguin_manager.get_df()[col2]) + axs[i, j * 2].set_xlabel(col1) + axs[i, j * 2].set_ylabel(col2) + if j * 2 + 1 < ncols: + axs[i, j * 2 + 1].scatter(penguin_manager.get_df()[col1], penguin_manager.get_df()[col2], s=penguin_manager.get_df()['Body Mass (g)'] / 20) + axs[i, j * 2 + 1].set_xlabel(col1) + axs[i, j * 2 + 1].set_ylabel(col2) + axs[i, j * 2 + 1].set_title('Bubble plot - Body Mass') + +plt.tight_layout() +plt.show() +``` + + + +![png](output_62_0.png) + + + +Some couple also have a good correlation, some of them appear to be grouped in a cluster, it may be the "Sex", the "Species" or the "Island". But I will check that. + +I will do the same with sns.pairplot, but with all features and I will add the sex, island and species as hue. + + +```python +# Plot the pairwise relationships between the columns +sns.pairplot(penguin_manager.get_df(), vars=numerical_cols.columns[:-1], hue="Sex") +``` + + + + + + + + + + +![png](output_64_1.png) + + + +No important correlation with sex found in the scatter plot, which is expected since now I know they can change sex. + + +```python +sns.pairplot(penguin_manager.get_df(), vars=numerical_cols.columns[:-1], hue="Island") +``` + + + + + + + + + + +![png](output_66_1.png) + + + +The correlation with the island may be a little more evident, but it's not very important. + + +```python +sns.pairplot(penguin_manager.get_df(), vars=numerical_cols.columns[:-1], hue="Species") +``` + + + + + + + + + + +![png](output_68_1.png) + + + +The correlation with the species seems to be more important since the clusters and normal distributions are more evident. + +Graphically we can see a good correlation between many couples, for instance the features body mass and flipper length is very correlated. + +But also compared to the 3 nominal category, we can see that some clusters are formed, and some of this cluster also have a linear correlation. Also, this separation clearly shows a that there is a tendency in the normal distributions of the features that doesn't appear with the sex separation. The most evident is the species separation. + +Overall, species and island seems to be more informative than sex. Again, these penguins can change sex and it seems that the only way to find the sex is though blood isotopes. + +Now I will check it with the linear correlation matrix. + + +```python +# Get the numerical columns +numerical_cols = penguin_manager.get_df().select_dtypes(include=['float64', 'int64']) +columns = numerical_cols.columns + +# Create a new dataframe without NaN values +noNan = penguin_manager.get_df().dropna() + +corr_matrix = noNan.corr(numeric_only=True) + +fig, ax = plt.subplots(figsize=(10, 10)) + +warnings.filterwarnings('ignore') +sns.heatmap(corr_matrix, annot=True, cmap="coolwarm", ax=ax) +warnings.filterwarnings('default') + +ax.set_title("Linea Correlation Matrix") + +plt.show() +``` + + + +![png](output_71_0.png) + + + +This also shows a correlation between the features body mass and flipper length. As well as some others important correlations of couples. + +Now I will check the correlation with the Spearman method which is used to find non-linear correlations. There is also the Kendall method, but I will use only the Spearman method. + + +```python +# Create a new dataframe without NaN values +noNan = penguin_manager.get_df().dropna() + +# Create the correlation matrix with the spearman method +spearmanCorrMatrix = noNan.corr(method='spearman', numeric_only=True) + +sns.heatmap(spearmanCorrMatrix, annot=True) +``` + + + + + + + + + + +![png](output_73_1.png) + + + +This method shows a correlation based on the monotone relationship between the features. This means tha the also linear correlation is taken into account. The result are similar to the linear correlation matrix. + +However, to see a better correlation I should check after grouping by the nominal features which I won't do. + + + + +```python +penguin_manager.get_df() +``` + + + + +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
studyNameSpeciesIslandIndividual IDClutch CompletionDate EggCulmen Length (mm)Culmen Depth (mm)Flipper Length (mm)Body Mass (g)SexDelta 15 N (o/oo)Delta 13 C (o/oo)
0PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN1A1Yes2007-11-1139.118.7181.03750.0MALENaNNaN
1PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN1A2Yes2007-11-1139.517.4186.03800.0FEMALE8.94956-24.69454
2PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN2A1Yes2007-11-1640.318.0195.03250.0FEMALE8.36821-25.33302
3PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN3A1Yes2007-11-1636.719.3193.03450.0FEMALE8.76651-25.32426
4PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN3A2Yes2007-11-1639.320.6190.03650.0MALE8.66496-25.29805
..........................................
337PAL0910Gentoo penguin (Pygoscelis papua)BiscoeN38A1No2009-12-0147.213.7214.04925.0FEMALE7.99184-26.20538
338PAL0910Gentoo penguin (Pygoscelis papua)BiscoeN39A1Yes2009-11-2246.814.3215.04850.0FEMALE8.41151-26.13832
339PAL0910Gentoo penguin (Pygoscelis papua)BiscoeN39A2Yes2009-11-2250.415.7222.05750.0MALE8.30166-26.04117
340PAL0910Gentoo penguin (Pygoscelis papua)BiscoeN43A1Yes2009-11-2245.214.8212.05200.0FEMALE8.24246-26.11969
341PAL0910Gentoo penguin (Pygoscelis papua)BiscoeN43A2Yes2009-11-2249.916.1213.05400.0MALE8.36390-26.15531
+

342 rows × 13 columns

+
+ + + +## 8 Explore categorical variables + +Investigate the distribution of categorical variables using frequency tables, bar plots, or pie charts. Look for patterns, imbalances, or rare categories that may require special handling. + + +```python +# get the categorical columns +categorical_cols = penguin_manager.get_df().select_dtypes(include=['object']) +df_categorical = penguin_manager.get_df()[categorical_cols.columns] +df_categorical.describe() +``` + + + + +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
studyNameSpeciesIslandIndividual IDClutch CompletionSex
count342342342342342341
unique33319023
topPAL0910Adelie Penguin (Pygoscelis adeliae)BiscoeN69A1YesMALE
freq1191511673307171
+
+ + + +### Species + + +```python +# shows the species distribution +sns.countplot(x='Species', data=df_categorical) +plt.title("Species distribution") +``` + + + + + Text(0.5, 1.0, 'Species distribution') + + + + + +![png](output_80_1.png) + + + + +```python +# shows on which island species live on a count plot +sns.set_style("whitegrid") + +sns.countplot(x="Island", hue="Species", data=df_categorical) + +plt.title("Observations per Island and Species") +plt.xlabel("Island") +plt.ylabel("Observations") + +plt.show() +``` + + + +![png](output_81_0.png) + + + + +```python +# shows on which island species live on a pie plot +df_categorical.groupby(['Island', 'Species']).size().unstack().plot(kind='pie', subplots=True, figsize=(20, 10), autopct='%1.1f%%') +``` + + + + + array([, + , + ], + dtype=object) + + + + + +![png](output_82_1.png) + + + + +```python +# shows the distribution of species in the study +df_categorical.groupby(['studyName', 'Species']).size().unstack().plot(kind='pie', subplots=True, figsize=(20, 10), autopct='%1.1f%%') +``` + + + + + array([, + , + ], + dtype=object) + + + + + +![png](output_83_1.png) + + + + +```python +# shows the correlation between "Body Mass (g)" and "Species" in a swarm plot +warnings.filterwarnings('ignore') +sns.swarmplot(x="Species", y="Body Mass (g)", data=penguin_manager.get_df(), hue="Sex") +warnings.filterwarnings('default') +``` + + + +![png](output_84_0.png) + + + + +```python +# shows the correlation between "Culmen Depth (mm)" and "Species" in a swarm plot +warnings.filterwarnings('ignore') +sns.swarmplot(x="Species", y="Culmen Depth (mm)", data=penguin_manager.get_df(), hue="Sex") +warnings.filterwarnings('default') +``` + + + +![png](output_85_0.png) + + + + +```python +# shows the correlation between "Delta 15N (o/oo)" and "Species" in a swarm plot +warnings.filterwarnings('ignore') +sns.swarmplot(x="Species", y="Delta 15 N (o/oo)", data=penguin_manager.get_df(), hue="Sex") +warnings.filterwarnings('default') +``` + + + +![png](output_86_0.png) + + + +We can see that the species are imbalanced, there are 2 times more Adelie than Chinstrap. + +Moreover, we can see that The gentoo lives only on the Biscoe island, the Chinstrap only in the Chinstrap and the Adelie lives everywhere. So if we want to predict the island, the species feature will be very important for the first 2 species and almost useless for the latter. + +The studies seem to have a reasonable balance of species. + +As comparison with the numerical features, I have chosen the body mass, the culmen depth and the delta 15N. The gentoo seems to sit in specific ranges that is different that the other 2 species, also, using the "Sex" as hue, it seems that this feature may be correlated with the body mass (higher for males) and culmen depth (higher for males). So, even if these penguins could change sex, it may be a rare event that also have influence on the body mass and culmen depth. Therefore, it could be used for the model. + +## Island + + +```python +sns.countplot(x='Island', data=df_categorical) +``` + + + + + + + + + + +![png](output_88_1.png) + + + + +```python +sns.countplot(x='Island', hue='studyName', data=df_categorical) +``` + + + + + + + + + + +![png](output_89_1.png) + + + +We can see that there is also a high imbalance between the sample of the islands the gentoo island is the most represented, which is also the only island the gentoo lives. The Torgersen island is underrepresented. + +Studies are slightly imbalanced if grouped by island. + +### Clutch Completion + + + +```python +sns.countplot(x='Clutch Completion', data=df_categorical) +``` + + + + + + + + + + +![png](output_91_1.png) + + + + + +### Sex + + +```python +sns.countplot(x='Sex', data=penguin_manager.get_df()) +``` + + + + + + + + + + +![png](output_93_1.png) + + + +The dataset is overall imbalanced in the most important categorical features which is something to keep in mind while training the model. + +The sex is balanced, but we should be aware that is a less important category and the other features are not. In particular, I would not use the "Clutch Completion" feature because it is strongly imbalanced. +Also, the "Toergsen" island is underrepresented. + +## 9 Impute missing values + +At this point I know there is a correlation between species, anatomical values and sex / isotope, so I will impute them. +This is not meant to be the perfect imputation, but just a way to have a complete dataset to work with. And a future reference. + +There are various approaches: + +- Impute with the mean +- Impute with the median +- Impute with the mode +- Impute with a constant value +- Impute using forward filling or back-filling +- Impute with a value estimated by another predictive model + +I will use the average for the 2 deltas. + + +```python +# fill deltas with the average +df_filling = penguin_manager.get_df(as_copy=True) + +delta_15n_mean = df_filling['Delta 15 N (o/oo)'].mean() +delta_13c_mean = df_filling['Delta 13 C (o/oo)'].mean() + +# Fill missing values with mean +df_filling['Delta 15 N (o/oo)'].fillna(value=delta_15n_mean, inplace=True) +df_filling['Delta 13 C (o/oo)'].fillna(value=delta_13c_mean, inplace=True) + +# Print the modified dataframe +df_filling +``` + + + + +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
studyNameSpeciesIslandIndividual IDClutch CompletionDate EggCulmen Length (mm)Culmen Depth (mm)Flipper Length (mm)Body Mass (g)SexDelta 15 N (o/oo)Delta 13 C (o/oo)
0PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN1A1Yes2007-11-1139.118.7181.03750.0MALE8.733382-25.686292
1PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN1A2Yes2007-11-1139.517.4186.03800.0FEMALE8.949560-24.694540
2PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN2A1Yes2007-11-1640.318.0195.03250.0FEMALE8.368210-25.333020
3PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN3A1Yes2007-11-1636.719.3193.03450.0FEMALE8.766510-25.324260
4PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN3A2Yes2007-11-1639.320.6190.03650.0MALE8.664960-25.298050
..........................................
337PAL0910Gentoo penguin (Pygoscelis papua)BiscoeN38A1No2009-12-0147.213.7214.04925.0FEMALE7.991840-26.205380
338PAL0910Gentoo penguin (Pygoscelis papua)BiscoeN39A1Yes2009-11-2246.814.3215.04850.0FEMALE8.411510-26.138320
339PAL0910Gentoo penguin (Pygoscelis papua)BiscoeN39A2Yes2009-11-2250.415.7222.05750.0MALE8.301660-26.041170
340PAL0910Gentoo penguin (Pygoscelis papua)BiscoeN43A1Yes2009-11-2245.214.8212.05200.0FEMALE8.242460-26.119690
341PAL0910Gentoo penguin (Pygoscelis papua)BiscoeN43A2Yes2009-11-2249.916.1213.05400.0MALE8.363900-26.155310
+

342 rows × 13 columns

+
+ + + + +```python +# check for empties with missingno +warnings.filterwarnings('ignore') +msno.matrix(df_filling) +warnings.filterwarnings('default') +``` + + + +![png](output_97_0.png) + + + + +```python +# count the missing values +df_filling.isnull().sum() +``` + + + + + studyName 0 + Species 0 + Island 0 + Individual ID 0 + Clutch Completion 0 + Date Egg 0 + Culmen Length (mm) 0 + Culmen Depth (mm) 0 + Flipper Length (mm) 0 + Body Mass (g) 0 + Sex 1 + Delta 15 N (o/oo) 0 + Delta 13 C (o/oo) 0 + dtype: int64 + + + +The dataset is almost full, now only one row with the value sex is missing. I will use a classifier to predict it. + +Since it's not worth to impute with a classifier for one row, I will drop it. + + +```python +df_filling = df_filling.dropna(subset=['Sex']) +df_filling.isnull().sum() +``` + + + + + studyName 0 + Species 0 + Island 0 + Individual ID 0 + Clutch Completion 0 + Date Egg 0 + Culmen Length (mm) 0 + Culmen Depth (mm) 0 + Flipper Length (mm) 0 + Body Mass (g) 0 + Sex 0 + Delta 15 N (o/oo) 0 + Delta 13 C (o/oo) 0 + dtype: int64 + + + + +```python +warnings.filterwarnings('ignore') +msno.matrix(df_filling) +warnings.filterwarnings('default') +``` + + + +![png](output_101_0.png) + + + +In total, I dropped 3 rows and imputed the others with the mean. Now I have a dataset withouth missing values. + + +```python +# recreate the penguin manager +penguin_manager = EncoderManager(df_filling, columns_to_label_encode, columns_to_ordinal_encode, columns_to_onehot_encode) +penguin_manager.get_df() +``` + + + + +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
studyNameSpeciesIslandIndividual IDClutch CompletionDate EggCulmen Length (mm)Culmen Depth (mm)Flipper Length (mm)Body Mass (g)SexDelta 15 N (o/oo)Delta 13 C (o/oo)
0PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN1A1Yes2007-11-1139.118.7181.03750.0MALE8.733382-25.686292
1PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN1A2Yes2007-11-1139.517.4186.03800.0FEMALE8.949560-24.694540
2PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN2A1Yes2007-11-1640.318.0195.03250.0FEMALE8.368210-25.333020
3PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN3A1Yes2007-11-1636.719.3193.03450.0FEMALE8.766510-25.324260
4PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN3A2Yes2007-11-1639.320.6190.03650.0MALE8.664960-25.298050
..........................................
337PAL0910Gentoo penguin (Pygoscelis papua)BiscoeN38A1No2009-12-0147.213.7214.04925.0FEMALE7.991840-26.205380
338PAL0910Gentoo penguin (Pygoscelis papua)BiscoeN39A1Yes2009-11-2246.814.3215.04850.0FEMALE8.411510-26.138320
339PAL0910Gentoo penguin (Pygoscelis papua)BiscoeN39A2Yes2009-11-2250.415.7222.05750.0MALE8.301660-26.041170
340PAL0910Gentoo penguin (Pygoscelis papua)BiscoeN43A1Yes2009-11-2245.214.8212.05200.0FEMALE8.242460-26.119690
341PAL0910Gentoo penguin (Pygoscelis papua)BiscoeN43A2Yes2009-11-2249.916.1213.05400.0MALE8.363900-26.155310
+

341 rows × 13 columns

+
+ + + +### 10 Normalize numeric features + +Normalization is a common preprocessing step in machine learning that aims to scale features to have similar ranges and avoid that one feature dominates the others during training. By normalizing the data, we can ensure that each feature contributes equally to the model's training, leading to more accurate and robust models. Normalization can also improve the convergence of some machine learning algorithms, such as gradient descent, and reduce the computational complexity. + +References: TP02 - Data Preprocessing + +The most commons are: + +#### Min-max normalization + +Used to scale all values in a range between 0 and 1. Function to use: sklearn.preprocessing.MinMaxScaler. + +In general, the minmax normalization: + +- It's sensitive to outliers. Outliers could outscale the other values. +- It may not preserve the original shape of the data. +- It's good for distance based algorithms (Ex. k-means clustering, hierarchical clustering, and principal component analysis (PCA)). +- It's not good for non-linear data. +Could produce too small values. + +#### Z-score normalization + +Used to standardize values by scaling them to have a mean of 0 and a standard deviation of 1. Function to use: sklearn.preprocessing.StandardScaler. + +In general, the zscore normalization: + +- Helps remove outliers influence. +- Works well with normally distributed data. +- Sensitive to EXTREME outliers. +- It may not preserve the original shape of the data. + +#### Clipping + +This normalization method is used to clip the data between a min and a max value. It's used to remove outliers and to reduce the influence of extreme values. The data is not deleted, but it's replaced with the chosen min or max value if the data is outside the range. + +- Helps remove outliers influence. +- It can influence the model. +- Could remove important information that could contain useful information to modeling data + +#### Binning + +This normalization method is used to bin the data into a fixed number of bins. It's used to remove outliers and to reduce the influence of extreme values. + +Binning is a method of transforming continuous variables into discrete variables. It reduces the effects of minor observation errors. + +More info on binning: https://en.wikipedia.org/wiki/Data_binning + +And: TP02 - Data Preprocessing + +#### L1 normalization + +Used to normalize the data based on the sum of the absolute values of each observation. Function to use: sklearn.preprocessing.normalize with norm='l1'. + +#### L2 normalization + +Used to normalize the data based on the sum of the squared values of each observation. Function to use: sklearn.preprocessing.normalize with norm='l2'. + +#### Log transformation + +Used to scale the data and improve the linearity of relationships. Function to use: numpy.log or numpy.log1p. + +### Normalization + +For this step I will normalize with Min-Max since I checked before there are no important outliers and these normalizations, and it works well for the PCA which I will use later. The distributions tend to be normal, but the Min-Max normalization should be fine. + + +```python +df_numeric_ = penguin_manager.get_df().select_dtypes(include=[np.number]) + +df_numeric_.hist() +``` + + + + + array([[, + ], + [, + ], + [, + ]], dtype=object) + + + + + +![png](output_105_1.png) + + + + +```python +# normalize with Min-Max +df_normalized = penguin_manager.normalize("min-max", inplace=True).get_df() +df_normalized.select_dtypes(include=["float", "int"]).hist() +``` + + + + + array([[, + ], + [, + ], + [, + ]], dtype=object) + + + + + +![png](output_106_1.png) + + + +The result seems pretty good, the distributions are similar to the original ones, but the values are scaled between 0 and 1. + +## 11 Pandas Profiling + +Before going further, I will use the pandas profiling to get a quick overview of the data at this point. + + +```python +# pandas profiling +profile = ProfileReport(penguin_manager.get_df(), title="Pandas Profiling Report", explorative=True) +warnings.filterwarnings('ignore') +profile.to_file("profiling/profiling.html") +warnings.filterwarnings('default') +``` + + + Summarize dataset: 0%| | 0/5 [00:00 + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Body Mass (g)Flipper Length (mm)Culmen Length (mm)Culmen Depth (mm)Delta 15 N (o/oo)Delta 13 C (o/oo)Species
00.2916670.1525420.2545450.6666670.4601220.4123500
10.3055560.2372880.2690910.5119050.5504500.7193110
20.1527780.3898310.2981820.5833330.3075370.5216920
30.2083330.3559320.1672730.7380950.4739640.5244040
40.2638890.3050850.2618180.8928570.4315320.5325160
+ + + + + +```python +df_encoded_pca.shape +``` + + + + + (341, 7) + + + +Now I have 341 rows and 7 columns. I will use the elbow method to find the best number of clusters. + + +```python +pca = PCA() +data_pca = pca.fit_transform(df_encoded_pca) +df_encoded_pca['pca1'] = data_pca[:, 0] +df_encoded_pca['pca2'] = data_pca[:, 1] + +# Plot explained variance ratio +plt.plot(pca.explained_variance_ratio_) +plt.xlabel('Principal Component') +plt.ylabel('Explained Variance Ratio') +plt.show() + +# Plot first two principal components +sns.scatterplot(x='pca1', y='pca2', hue='Species', data=df_encoded_pca) +plt.title('Clustering des pingouins avec PCA') +plt.show() +``` + + + +![png](output_115_0.png) + + + + + +![png](output_115_1.png) + + + +I am not very confident with the PCA, but I think the best number components is 2 because the explained variance ratio is low and the number of component minimal. As we see with the PCA after all the scaling and encoding, it turned out that the result cluster are very clear. + + +```python +pca = PCA(n_components=2) +data_pca = pca.fit_transform(df_encoded_pca) +df_encoded_pca['pca1'] = data_pca[:, 0] +df_encoded_pca['pca2'] = data_pca[:, 1] + +# Plot explained variance ratio +plt.plot(pca.explained_variance_ratio_) +plt.xlabel('Principal Component') +plt.ylabel('Explained Variance Ratio') +plt.show() + +# Plot first two principal components +sns.scatterplot(x='pca1', y='pca2', hue='Species', data=df_encoded_pca) +plt.title('Clustering des pingouins avec PCA') +plt.show() +``` + + + +![png](output_117_0.png) + + + + + +![png](output_117_1.png) + + + + +```python +from sklearn.neighbors import KNeighborsClassifier +from sklearn.model_selection import train_test_split + +# Definire le feature e il target +X = df_encoded_pca[['pca1', 'pca2']] +y = df_encoded_pca['Species'] + +X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42) + +knn = KNeighborsClassifier(n_neighbors=5) + +knn.fit(X_train, y_train) + +accuracy = knn.score(X_test, y_test) +print("Accuracy: {:.2f}".format(accuracy)) +``` + + Accuracy: 1.00 + + +Using the PCA, the prediction is very good. + +### Reducing and visualizing using t-SNE + + +```python +df_encoded_tsne = df_encoded_pca.copy() +``` + + +```python +tsne = TSNE(n_components=2) + +# fit and transform the data to two dimensions +tsne_data = tsne.fit_transform(df_encoded_tsne) + +# create a scatter plot of the t-SNE representation of the data +plt.scatter(tsne_data[:, 0], tsne_data[:, 1]) +plt.xlabel('t-SNE Component 1') +plt.ylabel('t-SNE Component 2') +plt.title('t-SNE Scatter Plot') +plt.show() +``` + + + +![png](output_122_0.png) + + + + +```python +X = tsne_data[:, :2] +y = df_encoded_tsne['Species'] + +X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42) + +knn = KNeighborsClassifier(n_neighbors=5) + +knn.fit(X_train, y_train) + +accuracy = knn.score(X_test, y_test) +print("Accuracy: {:.2f}".format(accuracy)) +``` + + Accuracy: 1.00 + + +Also with the t-SNE the prediction is very good. + +Using the default values the result is strange, even with this method, the clusters pop out very well. + +## 12 Model selection and evaluation + +Based on the insights gained from EDA, choose the appropriate machine learning model(s) for your problem. Evaluate the performance of the model(s) using appropriate evaluation metrics and cross-validation techniques. Iterate on the model, features, or data preprocessing steps to improve performance, if necessary. + +For this step I will use the encoded and normalized dataset. I will use the KNN classifier. I will use the cross-validation to evaluate the model. + +At this point I use the KNN because I want a distance-based classifier, and I think it's the best choice for this dataset. I will use the cross-validation to evaluate the model. Moreover, This TP is not intended to train the perfect model, but to show the process of data analysis. However, I will with other models to see how they perform. + +I will try to predict the species. + + +```python +y_knn = penguin_manager.get_df(as_copy=True)["Species"] +X_knn = penguin_manager.get_df(as_copy=True).drop(columns=["Species"]) + +cols_to_label_encode_knn = ['Clutch Completion', 'Sex', 'Individual ID'] +cols_to_ordinal_encode_knn = ["Date Egg"] +cols_to_onehot_encode_knn = ['studyName', 'Island'] + +penguin_manager_knn = EncoderManager(X_knn, cols_to_label_encode_knn, cols_to_ordinal_encode_knn, cols_to_onehot_encode_knn) + +X_knn_encoded = penguin_manager_knn.encode(inplace=False) +X_knn_encoded.head() +``` + + + + +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Individual IDClutch CompletionDate EggCulmen Length (mm)Culmen Depth (mm)Flipper Length (mm)Body Mass (g)SexDelta 15 N (o/oo)Delta 13 C (o/oo)studyName_PAL0708studyName_PAL0809studyName_PAL0910Island_BiscoeIsland_DreamIsland_Torgersen
02212.00.2545450.6666670.1525420.29166720.4601220.4123501.00.00.00.00.01.0
12312.00.2690910.5119050.2372880.30555610.5504500.7193111.00.00.00.00.01.0
24416.00.2981820.5833330.3898310.15277810.3075370.5216921.00.00.00.00.01.0
36616.00.1672730.7380950.3559320.20833310.4739640.5244041.00.00.00.00.01.0
46716.00.2618180.8928570.3050850.26388920.4315320.5325161.00.00.00.00.01.0
+
+ + + + +```python +# split the data +X_train_model, X_test_model, y_train_model, y_test_model = train_test_split(X_knn_encoded, y_knn, test_size=0.2, random_state=42) +``` + + +```python +from sklearn.metrics import rand_score, adjusted_rand_score +from sklearn import svm +from sklearn.naive_bayes import GaussianNB +from sklearn.ensemble import RandomForestClassifier +from sklearn.linear_model import LogisticRegression +from sklearn.cluster import KMeans + +knn = KNeighborsClassifier(n_neighbors=5).fit(X_train_model, y_train_model) +y_pred_knn = knn.predict(X_test_model) +print(f"Knn score: {accuracy_score(y_pred_knn, y_test_model)}") + +warnings.filterwarnings("ignore") +kmeans = KMeans(n_clusters=3, random_state=42, n_init="auto").fit(X_train_model, y_train_model) +print(f"KMeans score: {adjusted_rand_score(y_train_model, kmeans.labels_)}") +warnings.filterwarnings("default") + +gnb = GaussianNB().fit(X_train_model, y_train_model) +y_pred_gnb = gnb.predict(X_test_model) +print(f"Gauss score: {accuracy_score(y_pred_gnb, y_test_model)}") + +rfc = RandomForestClassifier(n_estimators=50, criterion="gini").fit(X_train_model, y_train_model) +y_pred_rfc = rfc.predict(X_test_model) +print(f"RFC score: {accuracy_score(y_pred_rfc, y_test_model)}") + +reg = LogisticRegression(max_iter=50).fit(X_train_model, y_train_model) +y_pred_reg = reg.predict(X_test_model) +print(f"Logistic Regression: {accuracy_score(y_pred_reg, y_test_model)}") + +svc = svm.SVC(kernel="linear", C=1.0).fit(X_train_model, y_train_model) +y_pred_svc = svc.predict(X_test_model) +print(f"C-Support Vector: {accuracy_score(y_pred_svc, y_test_model)}") +``` + + Knn score: 0.9130434782608695 + KMeans score: 0.09537487102572052 + Gauss score: 0.8840579710144928 + RFC score: 0.9710144927536232 + Logistic Regression: 0.9710144927536232 + C-Support Vector: 1.0 + + + C:\Users\stefa\miniconda3\envs\MchineLearning\lib\site-packages\sklearn\linear_model\_logistic.py:458: ConvergenceWarning: lbfgs failed to converge (status=1): + STOP: TOTAL NO. of ITERATIONS REACHED LIMIT. + + Increase the number of iterations (max_iter) or scale the data as shown in: + https://scikit-learn.org/stable/modules/preprocessing.html + Please also refer to the documentation for alternative solver options: + https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression + n_iter_i = _check_optimize_result( + + +I think that this is already a good results for this TP. I will stick with the KNN even if it's not the best accuracy for this dataset, but it has a higher improvement margin. I will try to improve the model by tuning the hyperparameters (which i won't do). + +I will use the decision tree to find the most informative features. + + +```python +tree_clf = DecisionTreeClassifier() + +tree_clf.fit(X_knn_encoded, y_knn) + +feature_importances = tree_clf.feature_importances_ +feature_importances +``` + + + + + array([0.03380558, 0. , 0. , 0.35479631, 0.01317101, + 0.5319982 , 0. , 0. , 0. , 0.0176711 , + 0. , 0. , 0. , 0.0485578 , 0. , + 0. ]) + + + + +```python +indices = feature_importances.argsort()[::-1] + +for f in range(X_knn_encoded.shape[1]): + print("%d. feature %d (%f)" % (f + 1, indices[f], feature_importances[indices[f]])) +``` + + 1. feature 5 (0.531998) + 2. feature 3 (0.354796) + 3. feature 13 (0.048558) + 4. feature 0 (0.033806) + 5. feature 9 (0.017671) + 6. feature 4 (0.013171) + 7. feature 15 (0.000000) + 8. feature 14 (0.000000) + 9. feature 12 (0.000000) + 10. feature 11 (0.000000) + 11. feature 10 (0.000000) + 12. feature 8 (0.000000) + 13. feature 7 (0.000000) + 14. feature 6 (0.000000) + 15. feature 2 (0.000000) + 16. feature 1 (0.000000) + + + +```python +fi = pd.DataFrame({ + 'feature': X_knn_encoded.columns, + 'importance': tree_clf.feature_importances_ +}) + +# ordina le feature importances in ordine decrescente +fi = fi.sort_values(by='importance', ascending=False) + +# crea un grafico delle feature importances +plt.figure(figsize=(10, 6)) +plt.bar(fi['feature'], fi['importance']) +plt.xticks(rotation=90) +plt.xlabel('Feature') +plt.ylabel('Importance') +plt.title('Feature Importances') +plt.show() +``` + + + +![png](output_132_0.png) + + + +it seems that only the 6 features are important, i will try to retrain the model only with them. + + +```python +X_train_knn_sim = X_train_model[["Flipper Length (mm)", "Culmen Length (mm)", "Island_Biscoe", "Individual ID", "Delta 13 C (o/oo)", "Delta 15 N (o/oo)", "Sex"]] + +X_test_knn_sim = X_test_model[["Flipper Length (mm)", "Culmen Length (mm)", "Island_Biscoe", "Individual ID", "Delta 13 C (o/oo)", "Delta 15 N (o/oo)", "Sex"]] + +X_test_knn_sim.head() +``` + + + + +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Flipper Length (mm)Culmen Length (mm)Island_BiscoeIndividual IDDelta 13 C (o/oo)Delta 15 N (o/oo)Sex
3220.9491530.6181821.0310.3796220.4291002
1160.4576270.1890910.01130.2017290.7789652
1130.3220340.2727271.01080.0708660.4919981
420.4067800.4363640.0390.7711730.6706392
1260.3898310.3418180.01310.3076690.3733272
+
+ + + + +```python +knn_sim = KNeighborsClassifier(n_neighbors=5) + +# fit the model +knn.fit(X_train_knn_sim, y_train_model) + +# predict +y_pred_knn = knn.predict(X_test_knn_sim) + +# evaluate +print("Accuracy:", accuracy_score(y_test_model, y_pred_knn)) +``` + + Accuracy: 0.5797101449275363 + + +I had to try, but this want a good idea. I will use the original dataset. + +## 14 Report and communicate findings + +Summarize your findings from the EDA and document any insights, patterns, or relationships discovered during the process. Use clear visualizations and concise language to communicate your results to stakeholders. + +### Summary + +This dataset contains data about penguins. Some features are useless and can be ignored, but the other are useful to some information. FOr instance the species of the penguin. But other columns could be predicted. Some correlation is present with the sex of the penguin, as well as the others like the island, the flipper length and the culmen length. Also, the BMI seems to have a good predictability index. + +I manged to predict the species with a good accuracy, but I think that the model could be improved. I think that the dataset may be too small to train a good model, and the client should sample more data. + +It would be nice to apply a classificator (class = day) on the date without the year, on the date egg date, to predict futures egg dates in the year, but it would require a lot more samples since the final classes would be 365. An interesting information to add could be the date the egg opened, this would allow the prediction the egg birthdate. + +No outliers were not found, but some missing data were present. + +Overall the missing data wasn't too much, and it was possible to manage it. Only 3 rows were dropped. + +A problem could be the imbalance to some feature, for instance, it would not be possible to predict the clutch completion because the model would be too biased, trying balance it would not be possible otherwise it would result in too few data. + +Moreover, the client should sample more data about the Chinstrap penguin. + +It could be interesting to have the data about the behaviour to see how they could help to predict others features, or how the other features could predict the behaviour. diff --git a/data/.gitkeep b/data/.gitkeep new file mode 100644 index 0000000..e69de29 diff --git a/data/Summer-Olympic-medals.csv b/data/Summer-Olympic-medals.csv new file mode 100644 index 0000000..60f302f --- /dev/null +++ b/data/Summer-Olympic-medals.csv @@ -0,0 +1,15434 @@ +City,Year,Sport,Discipline,Event,Athlete,Gender,Country_Code,Country,Event_gender,Medal +Montreal,1976,Aquatics,Diving,3m springboard,"KÖHLER, Christa",Women,GDR,East Germany,W,Silver +Montreal,1976,Aquatics,Diving,3m springboard,"KOSENKOV, Aleksandr",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Aquatics,Diving,3m springboard,"BOGGS, Philip George",Men,USA,United States,M,Gold +Montreal,1976,Aquatics,Diving,3m springboard,"CAGNOTTO, Giorgio Franco",Men,ITA,Italy,M,Silver +Montreal,1976,Aquatics,Diving,10m platform,"WILSON, Deborah Keplar",Women,USA,United States,W,Bronze +Montreal,1976,Aquatics,Diving,10m platform,"LOUGANIS, Gregory",Men,USA,United States,M,Silver +Montreal,1976,Aquatics,Diving,10m platform,"VAYTSEKHOVSKAYA, Elena",Women,URS,Soviet Union,W,Gold +Montreal,1976,Aquatics,Diving,3m springboard,"POTTER-MCINGVALE, Cynthia",Women,USA,United States,W,Bronze +Montreal,1976,Aquatics,Diving,10m platform,"DIBIASI, Klaus",Men,ITA,Italy,M,Gold +Montreal,1976,Aquatics,Diving,10m platform,"ALEINIK, Vladimir",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Aquatics,Diving,10m platform,"KNAPE-LINDBERGH, Ulrika",Women,SWE,Sweden,W,Silver +Montreal,1976,Aquatics,Diving,3m springboard,"CHANDLER, Jennifer Kay",Women,USA,United States,W,Gold +Montreal,1976,Aquatics,Swimming,4x100m freestyle relay,"BABASHOFF, Shirley Farber",Women,USA,United States,W,Gold +Montreal,1976,Aquatics,Swimming,400m freestyle,"SHAW, Timothy Andrew",Men,USA,United States,M,Silver +Montreal,1976,Aquatics,Swimming,4x100m freestyle relay,"PRIEMER, Petra",Women,GDR,East Germany,W,Silver +Montreal,1976,Aquatics,Swimming,1500m freestyle,"HOLLAND, Stephen",Men,AUS,Australia,M,Bronze +Montreal,1976,Aquatics,Swimming,400m individual medley,"SMIRNOV, Andrei",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Aquatics,Swimming,4x100m medley relay,"ANKE, Hannelore",Women,GDR,East Germany,W,Gold +Montreal,1976,Aquatics,Swimming,800m freestyle,"BABASHOFF, Shirley Farber",Women,USA,United States,W,Silver +Montreal,1976,Aquatics,Swimming,800m freestyle,"THÜMER, Petra",Women,GDR,East Germany,W,Gold +Montreal,1976,Aquatics,Swimming,4x100m freestyle relay,"SMITH, Rebecca",Women,CAN,Canada,W,Bronze +Montreal,1976,Aquatics,Swimming,200m backstroke,"ROCCA, Peter Drake",Men,USA,United States,M,Silver +Montreal,1976,Aquatics,Swimming,400m freestyle,"GOODELL, Brian Stuart",Men,USA,United States,M,Gold +Montreal,1976,Aquatics,Swimming,400m individual medley,"MCKEE, Alexander Timothy",Men,USA,United States,M,Silver +Montreal,1976,Aquatics,Swimming,4x100m medley relay,"EVANS, Clayton",Men,CAN,Canada,M,Silver +Montreal,1976,Aquatics,Swimming,200m freestyle,"MONTGOMERY, James Paul",Men,USA,United States,M,Bronze +Montreal,1976,Aquatics,Swimming,100m butterfly,"VOGEL, Matthew Haynes",Men,USA,United States,M,Gold +Montreal,1976,Aquatics,Swimming,100m backstroke,"MATTHES, Roland",Men,GDR,East Germany,M,Bronze +Montreal,1976,Aquatics,Swimming,100m backstroke,"NABER, John Phillips",Men,USA,United States,M,Gold +Montreal,1976,Aquatics,Swimming,100m backstroke,"ROCCA, Peter Drake",Men,USA,United States,M,Silver +Montreal,1976,Aquatics,Swimming,4x100m medley relay,"KRAUS, Michael",Men,FRG,West Germany,M,Bronze +Montreal,1976,Aquatics,Swimming,200m freestyle,"BRIGITHA, Enith",Women,NED,Netherlands,W,Bronze +Montreal,1976,Aquatics,Swimming,4x200m freestyle relay,"DUNNE, David Michael",Men,GBR,United Kingdom,M,Bronze +Montreal,1976,Aquatics,Swimming,4x200m freestyle relay,"NABER, John Phillips",Men,USA,United States,M,Gold +Montreal,1976,Aquatics,Swimming,4x100m freestyle relay,"HEMPEL, Claudia",Women,GDR,East Germany,W,Silver +Montreal,1976,Aquatics,Swimming,4x100m medley relay,"MAC DONALD, Gary",Men,CAN,Canada,M,Silver +Montreal,1976,Aquatics,Swimming,4x200m freestyle relay,"BOGDANOV, Andrei",Men,URS,Soviet Union,M,Silver +Montreal,1976,Aquatics,Swimming,100m butterfly,"HALL, Gary Wayne",Men,USA,United States,M,Bronze +Montreal,1976,Aquatics,Swimming,400m individual medley,"SMITH, Rebecca",Women,CAN,Canada,W,Bronze +Montreal,1976,Aquatics,Swimming,200m breaststroke,"KOSHEVAYA, Marina",Women,URS,Soviet Union,W,Gold +Montreal,1976,Aquatics,Swimming,200m backstroke,"GARAPICK, Nancy Ellen",Women,CAN,Canada,W,Bronze +Montreal,1976,Aquatics,Swimming,800m freestyle,"WEINBERG, Wendy Elizabeth",Women,USA,United States,W,Bronze +Montreal,1976,Aquatics,Swimming,4x200m freestyle relay,"MONTGOMERY, James Paul",Men,USA,United States,M,Gold +Montreal,1976,Aquatics,Swimming,4x200m freestyle relay,"RASKATOV, Vladimir",Men,URS,Soviet Union,M,Silver +Montreal,1976,Aquatics,Swimming,4x100m medley relay,"ENDER, Kornelia",Women,GDR,East Germany,W,Gold +Montreal,1976,Aquatics,Swimming,4x100m medley relay,"JARDIN, Anne Elizabeth",Women,CAN,Canada,W,Bronze +Montreal,1976,Aquatics,Swimming,100m breaststroke,"YOZAITIS, Arvidas",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Aquatics,Swimming,4x100m medley relay,"WRIGHT, Camille",Women,USA,United States,W,Silver +Montreal,1976,Aquatics,Swimming,4x200m freestyle relay,"KRYLOV, Andrei",Men,URS,Soviet Union,M,Silver +Montreal,1976,Aquatics,Swimming,4x200m freestyle relay,"DOWNIE, Gordon Hunter",Men,GBR,United Kingdom,M,Bronze +Montreal,1976,Aquatics,Swimming,200m breaststroke,"WILKIE, David Andrew",Men,GBR,United Kingdom,M,Gold +Montreal,1976,Aquatics,Swimming,4x100m freestyle relay,"PEYTON, Kim Marie",Women,USA,United States,W,Gold +Montreal,1976,Aquatics,Swimming,4x100m medley relay,"MONTGOMERY, James Paul",Men,USA,United States,M,Gold +Montreal,1976,Aquatics,Swimming,200m butterfly,"TAUBER, Ulrike",Women,GDR,East Germany,W,Silver +Montreal,1976,Aquatics,Swimming,4x100m freestyle relay,"CLARK, Barbara Lynny",Women,CAN,Canada,W,Bronze +Montreal,1976,Aquatics,Swimming,4x100m freestyle relay,"AMUNDRUD, Gail",Women,CAN,Canada,W,Bronze +Montreal,1976,Aquatics,Swimming,100m butterfly,"ENDER, Kornelia",Women,GDR,East Germany,W,Gold +Montreal,1976,Aquatics,Swimming,200m butterfly,"BRUNER, Michael Lee",Men,USA,United States,M,Gold +Montreal,1976,Aquatics,Swimming,400m individual medley,"GIBSON, Cheryl",Women,CAN,Canada,W,Silver +Montreal,1976,Aquatics,Swimming,200m backstroke,"NABER, John Phillips",Men,USA,United States,M,Gold +Montreal,1976,Aquatics,Swimming,200m freestyle,"ENDER, Kornelia",Women,GDR,East Germany,W,Gold +Montreal,1976,Aquatics,Swimming,100m butterfly,"BOGLIOLI, Wendy Lansbach",Women,USA,United States,W,Bronze +Montreal,1976,Aquatics,Swimming,4x100m medley relay,"SMITH, Graham",Men,CAN,Canada,M,Silver +Montreal,1976,Aquatics,Swimming,4x100m medley relay,"VOGEL, Matthew Haynes",Men,USA,United States,M,Gold +Montreal,1976,Aquatics,Swimming,4x100m medley relay,"SMITH-SLOAN, Susan Estelle",Women,CAN,Canada,W,Bronze +Montreal,1976,Aquatics,Swimming,4x100m medley relay,"COOK-HOGG, Wendy",Women,CAN,Canada,W,Bronze +Montreal,1976,Aquatics,Swimming,100m butterfly,"POLLACK, Andrea",Women,GDR,East Germany,W,Silver +Montreal,1976,Aquatics,Swimming,100m butterfly,"BOTTOM, Joseph Stuart",Men,USA,United States,M,Silver +Montreal,1976,Aquatics,Swimming,400m freestyle,"THÜMER, Petra",Women,GDR,East Germany,W,Gold +Montreal,1976,Aquatics,Swimming,4x100m medley relay,"RICHTER, Ulrike",Women,GDR,East Germany,W,Gold +Montreal,1976,Aquatics,Swimming,200m freestyle,"FURNISS, Bruce Macfarlane",Men,USA,United States,M,Gold +Montreal,1976,Aquatics,Swimming,100m breaststroke,"KOSHEVAYA, Marina",Women,URS,Soviet Union,W,Bronze +Montreal,1976,Aquatics,Swimming,200m butterfly,"GREGG, Steven Garrett",Men,USA,United States,M,Silver +Montreal,1976,Aquatics,Swimming,4x100m freestyle relay,"ENDER, Kornelia",Women,GDR,East Germany,W,Silver +Montreal,1976,Aquatics,Swimming,4x200m freestyle relay,"MCCLATCHEY, Alan",Men,GBR,United Kingdom,M,Bronze +Montreal,1976,Aquatics,Swimming,100m breaststroke,"RUSANOVA, Lyubov",Women,URS,Soviet Union,W,Silver +Montreal,1976,Aquatics,Swimming,400m individual medley,"STRACHAN, Rodney",Men,USA,United States,M,Gold +Montreal,1976,Aquatics,Swimming,400m freestyle,"RASKATOV, Vladimir",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Aquatics,Swimming,400m individual medley,"TAUBER, Ulrike",Women,GDR,East Germany,W,Gold +Montreal,1976,Aquatics,Swimming,1500m freestyle,"GOODELL, Brian Stuart",Men,USA,United States,M,Gold +Montreal,1976,Aquatics,Swimming,4x100m medley relay,"PICKELL, Stephen",Men,CAN,Canada,M,Silver +Montreal,1976,Aquatics,Swimming,200m backstroke,"HARRIGAN, Daniel Lee",Men,USA,United States,M,Bronze +Montreal,1976,Aquatics,Swimming,200m butterfly,"KOTHER-GABRIEL, Rosemarie",Women,GDR,East Germany,W,Bronze +Montreal,1976,Aquatics,Swimming,4x100m freestyle relay,"POLLACK, Andrea",Women,GDR,East Germany,W,Silver +Montreal,1976,Aquatics,Swimming,100m freestyle,"MONTGOMERY, James Paul",Men,USA,United States,M,Gold +Montreal,1976,Aquatics,Swimming,200m breaststroke,"YURCHENYA, Marina",Women,URS,Soviet Union,W,Silver +Montreal,1976,Aquatics,Swimming,200m backstroke,"TREIBER, Birgit",Women,GDR,East Germany,W,Silver +Montreal,1976,Aquatics,Swimming,200m breaststroke,"RUSANOVA, Lyubov",Women,URS,Soviet Union,W,Bronze +Montreal,1976,Aquatics,Swimming,4x100m freestyle relay,"BOGLIOLI, Wendy Lansbach",Women,USA,United States,W,Gold +Montreal,1976,Aquatics,Swimming,4x200m freestyle relay,"BRUNER, Michael Lee",Men,USA,United States,M,Gold +Montreal,1976,Aquatics,Swimming,4x100m medley relay,"BABASHOFF, Shirley Farber",Women,USA,United States,W,Silver +Montreal,1976,Aquatics,Swimming,100m backstroke,"TREIBER, Birgit",Women,GDR,East Germany,W,Silver +Montreal,1976,Aquatics,Swimming,200m breaststroke,"HENCKEN, John Frederick",Men,USA,United States,M,Silver +Montreal,1976,Aquatics,Swimming,100m freestyle,"BABASHOFF, Jack, Jr.",Men,USA,United States,M,Silver +Montreal,1976,Aquatics,Swimming,200m butterfly,"POLLACK, Andrea",Women,GDR,East Germany,W,Gold +Montreal,1976,Aquatics,Swimming,100m freestyle,"BRIGITHA, Enith",Women,NED,Netherlands,W,Bronze +Montreal,1976,Aquatics,Swimming,4x100m medley relay,"SIERING, Laura Gail",Women,USA,United States,W,Silver +Montreal,1976,Aquatics,Swimming,400m freestyle,"BABASHOFF, Shirley Farber",Women,USA,United States,W,Silver +Montreal,1976,Aquatics,Swimming,4x200m freestyle relay,"KOPLYAKOV, Sergei",Men,URS,Soviet Union,M,Silver +Montreal,1976,Aquatics,Swimming,200m breaststroke,"COLELLA, Richard Phillip Jr.",Men,USA,United States,M,Bronze +Montreal,1976,Aquatics,Swimming,4x100m medley relay,"NABER, John Phillips",Men,USA,United States,M,Gold +Montreal,1976,Aquatics,Swimming,200m freestyle,"BABASHOFF, Shirley Farber",Women,USA,United States,W,Silver +Montreal,1976,Aquatics,Swimming,100m backstroke,"GARAPICK, Nancy Ellen",Women,CAN,Canada,W,Bronze +Montreal,1976,Aquatics,Swimming,4x100m medley relay,"STEINBACH, Klaus",Men,FRG,West Germany,M,Bronze +Montreal,1976,Aquatics,Swimming,4x100m freestyle relay,"STERKEL, Gillian Ann",Women,USA,United States,W,Gold +Montreal,1976,Aquatics,Swimming,100m freestyle,"NOCKE, Peter",Men,FRG,West Germany,M,Bronze +Montreal,1976,Aquatics,Swimming,200m butterfly,"FORRESTER, William Ronald, Jr.",Men,USA,United States,M,Bronze +Montreal,1976,Aquatics,Swimming,4x100m medley relay,"NOCKE, Peter",Men,FRG,West Germany,M,Bronze +Montreal,1976,Aquatics,Swimming,4x100m medley relay,"HENCKEN, John Frederick",Men,USA,United States,M,Gold +Montreal,1976,Aquatics,Swimming,100m breaststroke,"ANKE, Hannelore",Women,GDR,East Germany,W,Gold +Montreal,1976,Aquatics,Swimming,4x100m medley relay,"POLLACK, Andrea",Women,GDR,East Germany,W,Gold +Montreal,1976,Aquatics,Swimming,4x100m medley relay,"KUSCH, Walter",Men,FRG,West Germany,M,Bronze +Montreal,1976,Aquatics,Swimming,400m freestyle,"SMITH, Shannon",Women,CAN,Canada,W,Bronze +Montreal,1976,Aquatics,Swimming,4x100m medley relay,"CORSIGLIA, Robin Marie",Women,CAN,Canada,W,Bronze +Montreal,1976,Aquatics,Swimming,100m backstroke,"RICHTER, Ulrike",Women,GDR,East Germany,W,Gold +Montreal,1976,Aquatics,Swimming,1500m freestyle,"HACKETT, Robert William",Men,USA,United States,M,Silver +Montreal,1976,Aquatics,Swimming,100m breaststroke,"WILKIE, David Andrew",Men,GBR,United Kingdom,M,Silver +Montreal,1976,Aquatics,Swimming,4x200m freestyle relay,"BRINKLEY, Brian",Men,GBR,United Kingdom,M,Bronze +Montreal,1976,Aquatics,Swimming,100m breaststroke,"HENCKEN, John Frederick",Men,USA,United States,M,Gold +Montreal,1976,Aquatics,Swimming,200m freestyle,"NABER, John Phillips",Men,USA,United States,M,Silver +Montreal,1976,Aquatics,Swimming,4x200m freestyle relay,"FURNISS, Bruce Macfarlane",Men,USA,United States,M,Gold +Montreal,1976,Aquatics,Swimming,4x100m medley relay,"JEZEK, Linda Louise",Women,USA,United States,W,Silver +Montreal,1976,Aquatics,Swimming,100m freestyle,"PRIEMER, Petra",Women,GDR,East Germany,W,Silver +Montreal,1976,Aquatics,Swimming,4x100m freestyle relay,"JARDIN, Anne Elizabeth",Women,CAN,Canada,W,Bronze +Montreal,1976,Aquatics,Swimming,200m backstroke,"RICHTER, Ulrike",Women,GDR,East Germany,W,Gold +Montreal,1976,Aquatics,Swimming,100m freestyle,"ENDER, Kornelia",Women,GDR,East Germany,W,Gold +Montreal,1976,Aquatics,Water polo,water polo,"DE ZWARTE, Pieter",Men,NED,Netherlands,M,Bronze +Montreal,1976,Aquatics,Water polo,water polo,"VEER, Jan Evert",Men,NED,Netherlands,M,Bronze +Montreal,1976,Aquatics,Water polo,water polo,"KROON, Evert Gerrit",Men,NED,Netherlands,M,Bronze +Montreal,1976,Aquatics,Water polo,water polo,"HORKAI, Gyorgy",Men,HUN,Hungary,M,Gold +Montreal,1976,Aquatics,Water polo,water polo,"CASTAGNOLA, Luigi",Men,ITA,Italy,M,Silver +Montreal,1976,Aquatics,Water polo,water polo,"SMITS, Hans",Men,NED,Netherlands,M,Bronze +Montreal,1976,Aquatics,Water polo,water polo,"STROBOER, Gijsbert (Gijs)",Men,NED,Netherlands,M,Bronze +Montreal,1976,Aquatics,Water polo,water polo,"CSAPO, Gabor",Men,HUN,Hungary,M,Gold +Montreal,1976,Aquatics,Water polo,water polo,"CSERVENYAK, Tibor",Men,HUN,Hungary,M,Gold +Montreal,1976,Aquatics,Water polo,water polo,"GERENDAS, Gyorgy",Men,HUN,Hungary,M,Gold +Montreal,1976,Aquatics,Water polo,water polo,"BUUNK, Antoon G.J.",Men,NED,Netherlands,M,Bronze +Montreal,1976,Aquatics,Water polo,water polo,"SUDAR, Attila",Men,HUN,Hungary,M,Gold +Montreal,1976,Aquatics,Water polo,water polo,"KENEZ, Gyorgy",Men,HUN,Hungary,M,Gold +Montreal,1976,Aquatics,Water polo,water polo,"MOLNAR, Endre",Men,HUN,Hungary,M,Gold +Montreal,1976,Aquatics,Water polo,water polo,"BOEGSCHOTEN, Alexander",Men,NED,Netherlands,M,Bronze +Montreal,1976,Aquatics,Water polo,water polo,"SAROSI, Laszlo",Men,HUN,Hungary,M,Gold +Montreal,1976,Aquatics,Water polo,water polo,"DEL DUCA, Marcello",Men,ITA,Italy,M,Silver +Montreal,1976,Aquatics,Water polo,water polo,"SIMEONI, Roldano",Men,ITA,Italy,M,Silver +Montreal,1976,Aquatics,Water polo,water polo,"ALBERANI SAMARITANI, Alberto",Men,ITA,Italy,M,Silver +Montreal,1976,Aquatics,Water polo,water polo,"BARACCHINI, Silvio",Men,ITA,Italy,M,Silver +Montreal,1976,Aquatics,Water polo,water polo,"PANERAI, Umberto",Men,ITA,Italy,M,Silver +Montreal,1976,Aquatics,Water polo,water polo,"MARSILI, Sante",Men,ITA,Italy,M,Silver +Montreal,1976,Aquatics,Water polo,water polo,"DE MAGISTRIS, Gianni",Men,ITA,Italy,M,Silver +Montreal,1976,Aquatics,Water polo,water polo,"KONRAD, Ferenc",Men,HUN,Hungary,M,Gold +Montreal,1976,Aquatics,Water polo,water polo,"TOONEN, Hendrik (Rik)",Men,NED,Netherlands,M,Bronze +Montreal,1976,Aquatics,Water polo,water polo,"DE MAGISTRIS, Riccardo",Men,ITA,Italy,M,Silver +Montreal,1976,Aquatics,Water polo,water polo,"SZIVOS, Istvan",Men,HUN,Hungary,M,Gold +Montreal,1976,Aquatics,Water polo,water polo,"LANDEWEERD, Nicolaas",Men,NED,Netherlands,M,Bronze +Montreal,1976,Aquatics,Water polo,water polo,"FARAGO, Tamas",Men,HUN,Hungary,M,Gold +Montreal,1976,Aquatics,Water polo,water polo,"HOEPELMAN, Andries",Men,NED,Netherlands,M,Bronze +Montreal,1976,Aquatics,Water polo,water polo,"GHIBELLINI, Alessandro",Men,ITA,Italy,M,Silver +Montreal,1976,Aquatics,Water polo,water polo,"D, Vincenzo",Men,ITA,Italy,M,Silver +Montreal,1976,Aquatics,Water polo,water polo,"VAN ZEELAND, Hans",Men,NED,Netherlands,M,Bronze +Montreal,1976,Archery,Archery,individual FITA round,"RYON, Luann Marie",Women,USA,United States,W,Gold +Montreal,1976,Archery,Archery,individual FITA round,"PACE, Darrell Owen",Men,USA,United States,M,Gold +Montreal,1976,Archery,Archery,individual FITA round,"MICHINAGA, Hiroshi",Men,JPN,Japan,M,Silver +Montreal,1976,Archery,Archery,individual FITA round,"FERRARI, Giancarlo",Men,ITA,Italy,M,Bronze +Montreal,1976,Archery,Archery,individual FITA round,"RUSTAMOVA, Zebiniso",Women,URS,Soviet Union,W,Bronze +Montreal,1976,Archery,Archery,individual FITA round,"KOVPAN, Valentina",Women,URS,Soviet Union,W,Silver +Montreal,1976,Athletics,Athletics,4x400m relay,"STROPAHL-STREIDT, Ellen",Women,GDR,East Germany,W,Gold +Montreal,1976,Athletics,Athletics,4x100m relay,"RICHTER-IRRGANG, Annegret",Women,FRG,West Germany,W,Silver +Montreal,1976,Athletics,Athletics,long jump,"ROBINSON, Arnie",Men,USA,United States,M,Gold +Montreal,1976,Athletics,Athletics,4x400m relay,"HERRMANN, Bernd",Men,FRG,West Germany,M,Bronze +Montreal,1976,Athletics,Athletics,4x400m relay,"FRAZIER, Herman Ronald",Men,USA,United States,M,Gold +Montreal,1976,Athletics,Athletics,high jump,"WITSCHAS-ACKERMANN, Rosemarie",Women,GDR,East Germany,W,Gold +Montreal,1976,Athletics,Athletics,100m hurdles,"SCHALLER-KLIER, Johanna",Women,GDR,East Germany,W,Gold +Montreal,1976,Athletics,Athletics,400m,"JUANTORENA, Alberto",Men,CUB,Cuba,M,Gold +Montreal,1976,Athletics,Athletics,5000m,"HILDENBRAND, Klaus-Peter",Men,FRG,West Germany,M,Bronze +Montreal,1976,Athletics,Athletics,100m,"STECHER, Renate",Women,GDR,East Germany,W,Silver +Montreal,1976,Athletics,Athletics,4x100m relay,"RIDDICK, Steven Earl",Men,USA,United States,M,Gold +Montreal,1976,Athletics,Athletics,pentathlon,"BODNER-LASER, Christine",Women,GDR,East Germany,W,Silver +Montreal,1976,Athletics,Athletics,long jump,"WARTENBERG, Frank",Men,GDR,East Germany,M,Bronze +Montreal,1976,Athletics,Athletics,200m,"EVANS, Dwayne Eugene",Men,USA,United States,M,Bronze +Montreal,1976,Athletics,Athletics,200m,"HAMPTON, Millard Frank Jr.",Men,USA,United States,M,Silver +Montreal,1976,Athletics,Athletics,hammer throw,"SEDYKH, Yuri",Men,URS,Soviet Union,M,Gold +Montreal,1976,Athletics,Athletics,pentathlon,"POLLAK, Burglinde",Women,GDR,East Germany,W,Bronze +Montreal,1976,Athletics,Athletics,decathlon,"AVILOV, Nikolai",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Athletics,Athletics,high jump,"STONES, Dwight Edwin",Men,USA,United States,M,Bronze +Montreal,1976,Athletics,Athletics,800m,"WOHLHUTER, Richard Charles",Men,USA,United States,M,Bronze +Montreal,1976,Athletics,Athletics,100m hurdles,"ANISIMOVA, Tatiana",Women,URS,Soviet Union,W,Silver +Montreal,1976,Athletics,Athletics,800m,"KAZANKINA, Tatiana",Women,URS,Soviet Union,W,Gold +Montreal,1976,Athletics,Athletics,4x400m relay,"WERNER, Jan",Men,POL,Poland,M,Silver +Montreal,1976,Athletics,Athletics,4x100m relay,"THIEME, Alexander",Men,GDR,East Germany,M,Silver +Montreal,1976,Athletics,Athletics,200m,"STECHER, Renate",Women,GDR,East Germany,W,Bronze +Montreal,1976,Athletics,Athletics,shot put,"BARYSHNIKOV, Aleksandr",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Athletics,Athletics,high jump,"JOY, Gregory",Men,CAN,Canada,M,Silver +Montreal,1976,Athletics,Athletics,hammer throw,"BONDARCHUK, Anatoli",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Athletics,Athletics,100m,"BORZOV, Valery",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Athletics,Athletics,800m,"CHTEREVA, Nikolina",Women,BUL,Bulgaria,W,Silver +Montreal,1976,Athletics,Athletics,3000m steeplechase,"MALINOWSKI, Bronislaw",Men,POL,Poland,M,Silver +Montreal,1976,Athletics,Athletics,1500m,"HOFFMEISTER, Gunhild",Women,GDR,East Germany,W,Silver +Montreal,1976,Athletics,Athletics,4x400m relay,"INGRAM, Sheila Rena",Women,USA,United States,W,Silver +Montreal,1976,Athletics,Athletics,triple jump,"BUTTS, James A.",Men,USA,United States,M,Silver +Montreal,1976,Athletics,Athletics,4x400m relay,"PARKS, Maxwell Lander",Men,USA,United States,M,Gold +Montreal,1976,Athletics,Athletics,4x100m relay,"ANISIMOVA, Vera",Women,URS,Soviet Union,W,Bronze +Montreal,1976,Athletics,Athletics,discus throw,"SCHMIDT, Wolfgang",Men,GDR,East Germany,M,Silver +Montreal,1976,Athletics,Athletics,javelin throw,"SCHMIDT, Kathryn Joan",Women,USA,United States,W,Bronze +Montreal,1976,Athletics,Athletics,4x400m relay,"BRYANT, Rosalyn Evette",Women,USA,United States,W,Silver +Montreal,1976,Athletics,Athletics,4x100m relay,"OELSNER-GÖHR, Marlies",Women,GDR,East Germany,W,Gold +Montreal,1976,Athletics,Athletics,1500m,"WELLMANN, Paul-Heinz",Men,FRG,West Germany,M,Bronze +Montreal,1976,Athletics,Athletics,discus throw,"POWELL, John Gates",Men,USA,United States,M,Bronze +Montreal,1976,Athletics,Athletics,4x100m relay,"BESFAMILNAYA, Nadezhda",Women,URS,Soviet Union,W,Bronze +Montreal,1976,Athletics,Athletics,4x400m relay,"PODLAS, Ryszard",Men,POL,Poland,M,Silver +Montreal,1976,Athletics,Athletics,4x100m relay,"KOLESNIKOV, Nikolai",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Athletics,Athletics,1500m,"WALKER, John",Men,NZL,New Zealand,M,Gold +Montreal,1976,Athletics,Athletics,800m,"ZINN, Elfi",Women,GDR,East Germany,W,Bronze +Montreal,1976,Athletics,Athletics,1500m,"KAZANKINA, Tatiana",Women,URS,Soviet Union,W,Gold +Montreal,1976,Athletics,Athletics,marathon,"CIERPINSKI, Waldemar",Men,GDR,East Germany,M,Gold +Montreal,1976,Athletics,Athletics,4x400m relay,"KRIEG, Lothar",Men,FRG,West Germany,M,Bronze +Montreal,1976,Athletics,Athletics,4x100m relay,"BODENDORF, Carla",Women,GDR,East Germany,W,Gold +Montreal,1976,Athletics,Athletics,4x100m relay,"PFEIFER, Jörg",Men,GDR,East Germany,M,Silver +Montreal,1976,Athletics,Athletics,800m,"VAN DAMME, Ivo",Men,BEL,Belgium,M,Silver +Montreal,1976,Athletics,Athletics,1500m,"VAN DAMME, Ivo",Men,BEL,Belgium,M,Silver +Montreal,1976,Athletics,Athletics,110m hurdles,"DAVENPORT, Willie",Men,USA,United States,M,Bronze +Montreal,1976,Athletics,Athletics,20km walk,"BAUTISTA ROCHA, Daniel",Men,MEX,Mexico,M,Gold +Montreal,1976,Athletics,Athletics,discus throw,"SCHLAAK-JAHL, Evelin",Women,GDR,East Germany,W,Gold +Montreal,1976,Athletics,Athletics,100m,"RICHTER-IRRGANG, Annegret",Women,FRG,West Germany,W,Gold +Montreal,1976,Athletics,Athletics,200m,"ECKERT-WÖCKEL, Bärbel",Women,GDR,East Germany,W,Gold +Montreal,1976,Athletics,Athletics,4x400m relay,"PIETRZYK, Jerzy",Men,POL,Poland,M,Silver +Montreal,1976,Athletics,Athletics,400m,"BREHMER-LATHAN, Christina",Women,GDR,East Germany,W,Silver +Montreal,1976,Athletics,Athletics,shot put,"CHRISTOVA-TODOROVA, Ivanka Mikailova",Women,BUL,Bulgaria,W,Gold +Montreal,1976,Athletics,Athletics,pentathlon,"SIEGL, Siegrun",Women,GDR,East Germany,W,Gold +Montreal,1976,Athletics,Athletics,4x400m relay,"MALETZKI, Doris",Women,GDR,East Germany,W,Gold +Montreal,1976,Athletics,Athletics,100m hurdles,"LEBEDEVA, Natalya",Women,URS,Soviet Union,W,Bronze +Montreal,1976,Athletics,Athletics,decathlon,"KRATSCHMER, Guido",Men,FRG,West Germany,M,Silver +Montreal,1976,Athletics,Athletics,shot put,"BEYER, Udo",Men,GDR,East Germany,M,Gold +Montreal,1976,Athletics,Athletics,3000m steeplechase,"BAUMGARTL, Frank",Men,GDR,East Germany,M,Bronze +Montreal,1976,Athletics,Athletics,4x400m relay,"CHISTYAKOVA-SOKOLOVA, Natalya",Women,URS,Soviet Union,W,Bronze +Montreal,1976,Athletics,Athletics,shot put,"MIRONOV, Yevgeni",Men,URS,Soviet Union,M,Silver +Montreal,1976,Athletics,Athletics,400m hurdles,"SHINE, Michael Lyle",Men,USA,United States,M,Silver +Montreal,1976,Athletics,Athletics,400m hurdles,"MOSES, Edwin",Men,USA,United States,M,Gold +Montreal,1976,Athletics,Athletics,decathlon,"JENNER, William Bruce",Men,USA,United States,M,Gold +Montreal,1976,Athletics,Athletics,3000m steeplechase,"GARDERUD, Anders",Men,SWE,Sweden,M,Gold +Montreal,1976,Athletics,Athletics,pole vault,"SLUSARSKI, Tadeusz",Men,POL,Poland,M,Gold +Montreal,1976,Athletics,Athletics,long jump,"VOIGT, Angela",Women,GDR,East Germany,W,Gold +Montreal,1976,Athletics,Athletics,4x100m relay,"HAMPTON, Millard Frank Jr.",Men,USA,United States,M,Gold +Montreal,1976,Athletics,Athletics,4x100m relay,"SILOVS, Yuris",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Athletics,Athletics,20km walk,"FRENKEL, Peter",Men,GDR,East Germany,M,Bronze +Montreal,1976,Athletics,Athletics,100m,"QUARRIE, Donald",Men,JAM,Jamaica,M,Silver +Montreal,1976,Athletics,Athletics,pole vault,"ROBERTS, David Luther",Men,USA,United States,M,Bronze +Montreal,1976,Athletics,Athletics,400m,"FRAZIER, Herman Ronald",Men,USA,United States,M,Bronze +Montreal,1976,Athletics,Athletics,4x100m relay,"HELTEN, Inge",Women,FRG,West Germany,W,Silver +Montreal,1976,Athletics,Athletics,triple jump,"SANEEV, Viktor",Men,URS,Soviet Union,M,Gold +Montreal,1976,Athletics,Athletics,400m,"STROPAHL-STREIDT, Ellen",Women,GDR,East Germany,W,Bronze +Montreal,1976,Athletics,Athletics,5000m,"VIREN, Lasse",Men,FIN,Finland,M,Gold +Montreal,1976,Athletics,Athletics,4x100m relay,"ECKERT-WÖCKEL, Bärbel",Women,GDR,East Germany,W,Gold +Montreal,1976,Athletics,Athletics,4x400m relay,"BREHMER-LATHAN, Christina",Women,GDR,East Germany,W,Gold +Montreal,1976,Athletics,Athletics,10000m,"VIREN, Lasse",Men,FIN,Finland,M,Gold +Montreal,1976,Athletics,Athletics,4x400m relay,"JAREMSKI, Zbigniew",Men,POL,Poland,M,Silver +Montreal,1976,Athletics,Athletics,long jump,"WILLIAMS, Randel Luvelle",Men,USA,United States,M,Silver +Montreal,1976,Athletics,Athletics,4x100m relay,"KURRAT, Klaus-Dieter",Men,GDR,East Germany,M,Silver +Montreal,1976,Athletics,Athletics,10000m,"FOSTER, Brendan",Men,GBR,United Kingdom,M,Bronze +Montreal,1976,Athletics,Athletics,javelin throw,"NEMETH, Miklos",Men,HUN,Hungary,M,Gold +Montreal,1976,Athletics,Athletics,4x400m relay,"KLIMOVOCHA, Inta",Women,URS,Soviet Union,W,Bronze +Montreal,1976,Athletics,Athletics,marathon,"SHORTER, Frank Charles",Men,USA,United States,M,Silver +Montreal,1976,Athletics,Athletics,shot put,"CHIZHOVA, Nadezhda",Women,URS,Soviet Union,W,Silver +Montreal,1976,Athletics,Athletics,4x400m relay,"AKSENOVA, Lyudmila",Women,URS,Soviet Union,W,Bronze +Montreal,1976,Athletics,Athletics,javelin throw,"MEGELEA, Gheorghe",Men,ROU,Romania,M,Bronze +Montreal,1976,Athletics,Athletics,5000m,"QUAX, Dick Theodorus",Men,NZL,New Zealand,M,Silver +Montreal,1976,Athletics,Athletics,20km walk,"REIMANN, Hans",Men,GDR,East Germany,M,Silver +Montreal,1976,Athletics,Athletics,high jump,"WSZOLA, Jacek",Men,POL,Poland,M,Gold +Montreal,1976,Athletics,Athletics,4x400m relay,"NEWHOUSE, Frederick Vaughn",Men,USA,United States,M,Gold +Montreal,1976,Athletics,Athletics,javelin throw,"FUCHS, Ruth",Women,GDR,East Germany,W,Gold +Montreal,1976,Athletics,Athletics,4x100m relay,"GLANCE, Harvey Edward",Men,USA,United States,M,Gold +Montreal,1976,Athletics,Athletics,4x400m relay,"ROHDE, Brigitte",Women,GDR,East Germany,W,Gold +Montreal,1976,Athletics,Athletics,long jump,"MCMILLAN, Catherine Laverne",Women,USA,United States,W,Silver +Montreal,1976,Athletics,Athletics,high jump,"BLAGOEVA-DIMITROVA, Yordanka",Women,BUL,Bulgaria,W,Bronze +Montreal,1976,Athletics,Athletics,400m hurdles,"GAVRILENKO, Yevgeni",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Athletics,Athletics,marathon,"LISMONT, Karel",Men,BEL,Belgium,M,Bronze +Montreal,1976,Athletics,Athletics,4x100m relay,"POSSEKEL, Elvira",Women,FRG,West Germany,W,Silver +Montreal,1976,Athletics,Athletics,4x100m relay,"STECHER, Renate",Women,GDR,East Germany,W,Gold +Montreal,1976,Athletics,Athletics,4x400m relay,"BROWN, Benjamin Gene",Men,USA,United States,M,Gold +Montreal,1976,Athletics,Athletics,200m,"RICHTER-IRRGANG, Annegret",Women,FRG,West Germany,W,Silver +Montreal,1976,Athletics,Athletics,200m,"QUARRIE, Donald",Men,JAM,Jamaica,M,Gold +Montreal,1976,Athletics,Athletics,10000m,"LOPES, Carlos",Men,POR,Portugal,M,Silver +Montreal,1976,Athletics,Athletics,400m,"NEWHOUSE, Frederick Vaughn",Men,USA,United States,M,Silver +Montreal,1976,Athletics,Athletics,javelin throw,"SIITONEN, Hannu Juhani",Men,FIN,Finland,M,Silver +Montreal,1976,Athletics,Athletics,pole vault,"KALLIOMÄKI, Antti Tapani",Men,FIN,Finland,M,Silver +Montreal,1976,Athletics,Athletics,4x400m relay,"KOLESNIKOVA-ILYINA, Nadezhda",Women,URS,Soviet Union,W,Bronze +Montreal,1976,Athletics,Athletics,110m hurdles,"DRUT, Guy",Men,FRA,France,M,Gold +Montreal,1976,Athletics,Athletics,triple jump,"DE OLIVEIRA, Joao Carlos",Men,BRA,Brazil,M,Bronze +Montreal,1976,Athletics,Athletics,hammer throw,"SPIRIDONOV, Aleksei",Men,URS,Soviet Union,M,Silver +Montreal,1976,Athletics,Athletics,discus throw,"HINZMANN, Gabriele",Women,GDR,East Germany,W,Bronze +Montreal,1976,Athletics,Athletics,4x100m relay,"BORZOV, Valery",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Athletics,Athletics,long jump,"ALFEEVA, Lidia",Women,URS,Soviet Union,W,Bronze +Montreal,1976,Athletics,Athletics,400m,"SZEWINSKA, Irena",Women,POL,Poland,W,Gold +Montreal,1976,Athletics,Athletics,shot put,"FIBINGEROVA, Helena",Women,TCH,Czechoslovakia,W,Bronze +Montreal,1976,Athletics,Athletics,4x100m relay,"KOKOT, Manfred",Men,GDR,East Germany,M,Silver +Montreal,1976,Athletics,Athletics,4x400m relay,"HOFMEISTER, Franz-Peter",Men,FRG,West Germany,M,Bronze +Montreal,1976,Athletics,Athletics,high jump,"SIMEONI, Sara",Women,ITA,Italy,W,Silver +Montreal,1976,Athletics,Athletics,4x400m relay,"SCHMID, Harald",Men,FRG,West Germany,M,Bronze +Montreal,1976,Athletics,Athletics,4x400m relay,"GREENE-JILES, Pamela",Women,USA,United States,W,Silver +Montreal,1976,Athletics,Athletics,discus throw,"VERGOVA-PETKOVA, Maria",Women,BUL,Bulgaria,W,Silver +Montreal,1976,Athletics,Athletics,800m,"JUANTORENA, Alberto",Men,CUB,Cuba,M,Gold +Montreal,1976,Athletics,Athletics,discus throw,"WILKINS, Malcolm Maurice",Men,USA,United States,M,Gold +Montreal,1976,Athletics,Athletics,4x400m relay,"SAPENTER, Deborah Elaine",Women,USA,United States,W,Silver +Montreal,1976,Athletics,Athletics,110m hurdles,"CASANAS RAMIREZ, Alejandro",Men,CUB,Cuba,M,Silver +Montreal,1976,Athletics,Athletics,1500m,"KLAPEZYNSKI-BRUNS, Ulrike",Women,GDR,East Germany,W,Bronze +Montreal,1976,Athletics,Athletics,4x100m relay,"JONES, John Wesley",Men,USA,United States,M,Gold +Montreal,1976,Athletics,Athletics,100m,"HELTEN, Inge",Women,FRG,West Germany,W,Bronze +Montreal,1976,Athletics,Athletics,4x100m relay,"AKSININ, Aleksandr",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Athletics,Athletics,4x100m relay,"PROROCHENKO, Tatiana",Women,URS,Soviet Union,W,Bronze +Montreal,1976,Athletics,Athletics,100m,"CRAWFORD, Hasely",Men,TRI,Trinidad and Tobago,M,Gold +Montreal,1976,Athletics,Athletics,4x100m relay,"ZHARKOVA-MASLAKOVA, Liudmila",Women,URS,Soviet Union,W,Bronze +Montreal,1976,Athletics,Athletics,4x100m relay,"KRONIGER, Annegret",Women,FRG,West Germany,W,Silver +Montreal,1976,Athletics,Athletics,javelin throw,"BECKER-STEINER, Marion",Women,FRG,West Germany,W,Silver +Montreal,1976,Basketball,Basketball,basketball,"GEORGIJEVSKI, Blagoje",Men,YUG,Yugoslavia,M,Silver +Montreal,1976,Basketball,Basketball,basketball,"SKERLATOVA, Girgina",Women,BUL,Bulgaria,W,Bronze +Montreal,1976,Basketball,Basketball,basketball,"OVECHKINA, Tatiana",Women,URS,Soviet Union,W,Gold +Montreal,1976,Basketball,Basketball,basketball,"MIKHAILOVA, Snezhana",Women,BUL,Bulgaria,W,Bronze +Montreal,1976,Basketball,Basketball,basketball,"LIEBERMAN, Nancy Lizabeth",Women,USA,United States,W,Silver +Montreal,1976,Basketball,Basketball,basketball,"ZAKHAROVA-NADIROVA, Tatiana",Women,URS,Soviet Union,W,Gold +Montreal,1976,Basketball,Basketball,basketball,"MARQUIS, Gail Annette",Women,USA,United States,W,Silver +Montreal,1976,Basketball,Basketball,basketball,"MAY, Scott Glenn",Men,USA,United States,M,Gold +Montreal,1976,Basketball,Basketball,basketball,"LEWIS, Charlotte",Women,USA,United States,W,Silver +Montreal,1976,Basketball,Basketball,basketball,"KORKIYA, Mikhail",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Basketball,Basketball,basketball,"KUPCHAK, Mitchell",Men,USA,United States,M,Gold +Montreal,1976,Basketball,Basketball,basketball,"METODIEVA, Penka",Women,BUL,Bulgaria,W,Bronze +Montreal,1976,Basketball,Basketball,basketball,"DANTLEY, Adrian Delano",Men,USA,United States,M,Gold +Montreal,1976,Basketball,Basketball,basketball,"JELOVAC, Vinko",Men,YUG,Yugoslavia,M,Silver +Montreal,1976,Basketball,Basketball,basketball,"KURVYAKOVA, Raisa",Women,URS,Soviet Union,W,Gold +Montreal,1976,Basketball,Basketball,basketball,"GIUROVA, Krassimira",Women,BUL,Bulgaria,W,Bronze +Montreal,1976,Basketball,Basketball,basketball,"COSIC, Kresimir",Men,YUG,Yugoslavia,M,Silver +Montreal,1976,Basketball,Basketball,basketball,"SHEPPARD, Steven",Men,USA,United States,M,Gold +Montreal,1976,Basketball,Basketball,basketball,"FERYABNIKOVA, Nelli",Women,URS,Soviet Union,W,Gold +Montreal,1976,Basketball,Basketball,basketball,"RUPSHENE, Angelia",Women,URS,Soviet Union,W,Gold +Montreal,1976,Basketball,Basketball,basketball,"FORD, Philip Jackson, Jr.",Men,USA,United States,M,Gold +Montreal,1976,Basketball,Basketball,basketball,"ROJCEWICZ, Susan Marie",Women,USA,United States,W,Silver +Montreal,1976,Basketball,Basketball,basketball,"CARR, Kenneth Alan",Men,USA,United States,M,Gold +Montreal,1976,Basketball,Basketball,basketball,"MYSHKIN, Anatoli",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Basketball,Basketball,basketball,"MAKAVEEVA, Petkana",Women,BUL,Bulgaria,W,Bronze +Montreal,1976,Basketball,Basketball,basketball,"ARZAMASKOV, Vladimir",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Basketball,Basketball,basketball,"SHUVAEVA-OLKHOVA, Nadezhda",Women,URS,Soviet Union,W,Gold +Montreal,1976,Basketball,Basketball,basketball,"DAVIS, Walter Paul",Men,USA,United States,M,Gold +Montreal,1976,Basketball,Basketball,basketball,"BOGDANOVA, Krasimira",Women,BUL,Bulgaria,W,Bronze +Montreal,1976,Basketball,Basketball,basketball,"BROGDEN, Cinderella Jane",Women,USA,United States,W,Silver +Montreal,1976,Basketball,Basketball,basketball,"SOLMAN, Damir",Men,YUG,Yugoslavia,M,Silver +Montreal,1976,Basketball,Basketball,basketball,"BARISHEVA-KOROSTELEVA, Olga",Women,URS,Soviet Union,W,Gold +Montreal,1976,Basketball,Basketball,basketball,"BELOV, Sergei",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Basketball,Basketball,basketball,"SLAVNIC, Zoran",Men,YUG,Yugoslavia,M,Silver +Montreal,1976,Basketball,Basketball,basketball,"DELIBASIC, Mirza",Men,YUG,Yugoslavia,M,Silver +Montreal,1976,Basketball,Basketball,basketball,"GRUNFELD, Ernest",Men,USA,United States,M,Gold +Montreal,1976,Basketball,Basketball,basketball,"DILOVA-BRAYNOVA, Diana",Women,BUL,Bulgaria,W,Bronze +Montreal,1976,Basketball,Basketball,basketball,"SUKHARNOVA, Olga",Women,URS,Soviet Union,W,Gold +Montreal,1976,Basketball,Basketball,basketball,"SEMENOVA, Iuliana",Women,URS,Soviet Union,W,Gold +Montreal,1976,Basketball,Basketball,basketball,"VARAJIC, Zarko",Men,YUG,Yugoslavia,M,Silver +Montreal,1976,Basketball,Basketball,basketball,"LAGARDE, Thomas Joseph",Men,USA,United States,M,Gold +Montreal,1976,Basketball,Basketball,basketball,"BUCKNER, William Quinn",Men,USA,United States,M,Gold +Montreal,1976,Basketball,Basketball,basketball,"ZAKHAROVA, Nadezhda",Women,URS,Soviet Union,W,Gold +Montreal,1976,Basketball,Basketball,basketball,"EDESHKO, Ivan",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Basketball,Basketball,basketball,"TKACHENKO, Vladimir",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Basketball,Basketball,basketball,"ZHARMUKHAMEDOV, Alzhan",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Basketball,Basketball,basketball,"KNEGO, Andro",Men,YUG,Yugoslavia,M,Silver +Montreal,1976,Basketball,Basketball,basketball,"GOLTCHEVA, Nadka",Women,BUL,Bulgaria,W,Bronze +Montreal,1976,Basketball,Basketball,basketball,"ROBERTS, Patricia Ann",Women,USA,United States,W,Silver +Montreal,1976,Basketball,Basketball,basketball,"BELOV, Aleksandr",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Basketball,Basketball,basketball,"ZIZIC, Rajko",Men,YUG,Yugoslavia,M,Silver +Montreal,1976,Basketball,Basketball,basketball,"HARRIS, Lusia Mae",Women,USA,United States,W,Silver +Montreal,1976,Basketball,Basketball,basketball,"HEAD, Patricia Sue",Women,USA,United States,W,Silver +Montreal,1976,Basketball,Basketball,basketball,"HUBBARD, Phillip Gregory",Men,USA,United States,M,Gold +Montreal,1976,Basketball,Basketball,basketball,"MAKEEV, Andrei",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Basketball,Basketball,basketball,"DUNKLE, Nancy Lynn",Women,USA,United States,W,Silver +Montreal,1976,Basketball,Basketball,basketball,"MEYERS, Ann Elizabeth",Women,USA,United States,W,Silver +Montreal,1976,Basketball,Basketball,basketball,"JERKOV, Zeljko",Men,YUG,Yugoslavia,M,Silver +Montreal,1976,Basketball,Basketball,basketball,"STOYANOVA, Maria",Women,BUL,Bulgaria,W,Bronze +Montreal,1976,Basketball,Basketball,basketball,"O'CONNOR, Mary Anne",Women,USA,United States,W,Silver +Montreal,1976,Basketball,Basketball,basketball,"STOYANOVA, Penka",Women,BUL,Bulgaria,W,Bronze +Montreal,1976,Basketball,Basketball,basketball,"SALNIKOV, Aleksandr",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Basketball,Basketball,basketball,"ARMSTRONG, Michael Taylor (Tate)",Men,USA,United States,M,Gold +Montreal,1976,Basketball,Basketball,basketball,"KICANOVIC, Dragan",Men,YUG,Yugoslavia,M,Silver +Montreal,1976,Basketball,Basketball,basketball,"KLIMOVA, Natalya",Women,URS,Soviet Union,W,Gold +Montreal,1976,Basketball,Basketball,basketball,"MILOSERDOV, Valeri",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Basketball,Basketball,basketball,"ZHIGILY, Vladimir",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Basketball,Basketball,basketball,"DAUNENE, Tamara",Women,URS,Soviet Union,W,Gold +Montreal,1976,Basketball,Basketball,basketball,"DALIPAGIC, Drazen",Men,YUG,Yugoslavia,M,Silver +Montreal,1976,Basketball,Basketball,basketball,"YORDANOVA, Todorka",Women,BUL,Bulgaria,W,Bronze +Montreal,1976,Basketball,Basketball,basketball,"CHTARKELOVA, Margarita",Women,BUL,Bulgaria,W,Bronze +Montreal,1976,Basketball,Basketball,basketball,"SIMPSON, Julienne Brazinski",Women,USA,United States,W,Silver +Montreal,1976,Boxing,Boxing,63.5 - 67kg (welterweight),"GAMARRO, Pedro José",Men,VEN,Venezuela,M,Silver +Montreal,1976,Boxing,Boxing,67 - 71kg (light-middleweight),"SAVCHENKO, Viktor",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Boxing,Boxing,60 - 63.5kg (light-welterweight),"SZCZERBA, Kazimierz",Men,POL,Poland,M,Bronze +Montreal,1976,Boxing,Boxing,60 - 63.5kg (light-welterweight),"KOLEV, Vladimir",Men,BUL,Bulgaria,M,Bronze +Montreal,1976,Boxing,Boxing,71-75kg,"MARTINEZ SANCHEZ, Luis Felipe",Men,CUB,Cuba,M,Bronze +Montreal,1976,Boxing,Boxing,57 - 60kg (lightweight),"DAVIS, Howard Edward, Jr.",Men,USA,United States,M,Gold +Montreal,1976,Boxing,Boxing,75 - 81kg (light-heavyweight),"SPINKS, Leonard, Jr.",Men,USA,United States,M,Gold +Montreal,1976,Boxing,Boxing,+ 81kg (heavyweight),"TATE, John",Men,USA,United States,M,Bronze +Montreal,1976,Boxing,Boxing,54 - 57kg (featherweight),"KOSEDOWSKI, Leszek",Men,POL,Poland,M,Bronze +Montreal,1976,Boxing,Boxing,48 - 51kg (flyweight),"TOROSYAN, David",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Boxing,Boxing,60 - 63.5kg (light-welterweight),"LEONARD, Ray Charles",Men,USA,United States,M,Gold +Montreal,1976,Boxing,Boxing,51 - 54kg (bantamweight),"COWDELL, Patrick",Men,GBR,United Kingdom,M,Bronze +Montreal,1976,Boxing,Boxing,+ 81kg (heavyweight),"STEVENSON, Teofilo",Men,CUB,Cuba,M,Gold +Montreal,1976,Boxing,Boxing,54 - 57kg (featherweight),"PAREDES, Juan",Men,MEX,Mexico,M,Bronze +Montreal,1976,Boxing,Boxing,- 48kg (light-flyweight),"MALDONADO, Orlando",Men,PUR,Puerto Rico*,M,Bronze +Montreal,1976,Boxing,Boxing,54 - 57kg (featherweight),"HERRERA VERA, Angel",Men,CUB,Cuba,M,Gold +Montreal,1976,Boxing,Boxing,48 - 51kg (flyweight),"DUVALON CARRION, Ramon",Men,CUB,Cuba,M,Silver +Montreal,1976,Boxing,Boxing,71-75kg,"SPINKS, Michael L.",Men,USA,United States,M,Gold +Montreal,1976,Boxing,Boxing,75 - 81kg (light-heavyweight),"DAFINOIU, Costica",Men,ROU,Romania,M,Bronze +Montreal,1976,Boxing,Boxing,48 - 51kg (flyweight),"RANDOLPH, Leonard",Men,USA,United States,M,Gold +Montreal,1976,Boxing,Boxing,- 48kg (light-flyweight),"HERNANDEZ PADRON, Jorge",Men,CUB,Cuba,M,Gold +Montreal,1976,Boxing,Boxing,+ 81kg (heavyweight),"SIMON, Mircea",Men,ROU,Romania,M,Silver +Montreal,1976,Boxing,Boxing,57 - 60kg (lightweight),"RUSEVSKI, Ace",Men,YUG,Yugoslavia,M,Bronze +Montreal,1976,Boxing,Boxing,63.5 - 67kg (welterweight),"ZILBERMAN, Victor",Men,ROU,Romania,M,Bronze +Montreal,1976,Boxing,Boxing,67 - 71kg (light-middleweight),"GARBEY, Rolando",Men,CUB,Cuba,M,Bronze +Montreal,1976,Boxing,Boxing,51 - 54kg (bantamweight),"GU, Young Jo",Men,PRK,"Korea, North",M,Gold +Montreal,1976,Boxing,Boxing,71-75kg,"RISKIEV, Rufat",Men,URS,Soviet Union,M,Silver +Montreal,1976,Boxing,Boxing,+ 81kg (heavyweight),"HILL, Clarence",Men,BER,Bermuda*,M,Bronze +Montreal,1976,Boxing,Boxing,60 - 63.5kg (light-welterweight),"ALDAMA CABRERA, Andres",Men,CUB,Cuba,M,Silver +Montreal,1976,Boxing,Boxing,48 - 51kg (flyweight),"BLAZYNSKI, Leszek",Men,POL,Poland,M,Bronze +Montreal,1976,Boxing,Boxing,63.5 - 67kg (welterweight),"BACHFELD, Jochen",Men,GDR,East Germany,M,Gold +Montreal,1976,Boxing,Boxing,57 - 60kg (lightweight),"SOLOMIN, Vasili",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Boxing,Boxing,- 48kg (light-flyweight),"LI, Byong Uk",Men,PRK,"Korea, North",M,Silver +Montreal,1976,Boxing,Boxing,67 - 71kg (light-middleweight),"KACAR, Tadija",Men,YUG,Yugoslavia,M,Silver +Montreal,1976,Boxing,Boxing,75 - 81kg (light-heavyweight),"GORTAT, Janusz",Men,POL,Poland,M,Bronze +Montreal,1976,Boxing,Boxing,- 48kg (light-flyweight),"POOLTARAT, Payao",Men,THA,Thailand,M,Bronze +Montreal,1976,Boxing,Boxing,51 - 54kg (bantamweight),"MOONEY, Charles Michael",Men,USA,United States,M,Silver +Montreal,1976,Boxing,Boxing,54 - 57kg (featherweight),"NOWAKOWSKI, Richard",Men,GDR,East Germany,M,Silver +Montreal,1976,Boxing,Boxing,57 - 60kg (lightweight),"CUTOV, Simion",Men,ROU,Romania,M,Silver +Montreal,1976,Boxing,Boxing,67 - 71kg (light-middleweight),"RYBICKI, Jerzy",Men,POL,Poland,M,Gold +Montreal,1976,Boxing,Boxing,75 - 81kg (light-heavyweight),"SORIA CABRERA, Sixto",Men,CUB,Cuba,M,Silver +Montreal,1976,Boxing,Boxing,71-75kg,"NASTAC, Alexandru",Men,ROU,Romania,M,Bronze +Montreal,1976,Boxing,Boxing,51 - 54kg (bantamweight),"RYBAKOV, Viktor",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Boxing,Boxing,63.5 - 67kg (welterweight),"SKRICEK, Reinhard",Men,FRG,West Germany,M,Bronze +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"HELM, Rüdiger",Men,GDR,East Germany,M,Bronze +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,C-1 500m (canoe single),"ROGOV, Aleksandr",Men,URS,Soviet Union,M,Gold +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"OPARA, Jerzy",Men,POL,Poland,M,Silver +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"DEGTYAREV, Aleksandr",Men,URS,Soviet Union,M,Gold +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,K-1 1000m (kayak single),"DIBA, Vasile",Men,ROU,Romania,M,Bronze +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"GOPOVA-TROFIMOVA, Nina",Women,URS,Soviet Union,W,Gold +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"CHUKHRAI, Sergei",Men,URS,Soviet Union,M,Gold +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"DIBA, Vasile",Men,ROU,Romania,M,Gold +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"BISCHOF, Frank-Peter",Men,GDR,East Germany,M,Bronze +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,C-1 1000m (canoe single),"LJUBEK, Matija",Men,YUG,Yugoslavia,M,Gold +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"MENENDEZ RODRIGUEZ, Herminio",Men,ESP,Spain,M,Silver +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"ZIRZOW, Carola",Women,GDR,East Germany,W,Gold +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"ROMANOVSKY, Vladimir",Men,URS,Soviet Union,M,Gold +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"MATTERN, Joachim",Men,GDR,East Germany,M,Silver +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"BAKO, Zoltan",Men,HUN,Hungary,M,Bronze +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"DUVIGNEAU, Bernd",Men,GDR,East Germany,M,Bronze +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"PFEFFER, Anna",Women,HUN,Hungary,W,Silver +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"PETRENKO, Sergei",Men,URS,Soviet Union,M,Gold +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"SERHEI, Larion",Men,ROU,Romania,M,Bronze +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"LEHNERT, Jürgen",Men,GDR,East Germany,M,Bronze +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"SZABO, Istvan",Men,HUN,Hungary,M,Bronze +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,C-1 1000m (canoe single),"YURCHENKO, Vasili",Men,URS,Soviet Union,M,Silver +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"FILATOV, Yuri",Men,URS,Soviet Union,M,Gold +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"OLBRICHT, Bernd",Men,GDR,East Germany,M,Silver +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,K-1 1000m (kayak single),"CSAPO, Geza",Men,HUN,Hungary,M,Silver +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"BUDAY, Tamas",Men,HUN,Hungary,M,Bronze +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"NAGORNYI, Sergei",Men,URS,Soviet Union,M,Silver +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"NAGORNYI, Sergei",Men,URS,Soviet Union,M,Gold +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"VINOGRADOV, Aleksandr",Men,URS,Soviet Union,M,Gold +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"SIMIONOV, Gheorghe",Men,ROU,Romania,M,Silver +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"KÖSTER, Bärbel",Women,GDR,East Germany,W,Bronze +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"MOROZOV, Vladimir",Men,URS,Soviet Union,M,Gold +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"RAJNAI, Klara",Women,HUN,Hungary,W,Bronze +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"KORSHUNOVA, Tatyana",Women,URS,Soviet Union,W,Silver +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,K-1 1000m (kayak single),"HELM, Rüdiger",Men,GDR,East Germany,M,Gold +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"FREY, Oszkar",Men,HUN,Hungary,M,Bronze +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,C-1 500m (canoe single),"LJUBEK, Matija",Men,YUG,Yugoslavia,M,Bronze +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"MALIHIN, Policarp",Men,ROU,Romania,M,Bronze +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"BUDAY, Tamas",Men,HUN,Hungary,M,Bronze +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"RAJNAI, Klara",Women,HUN,Hungary,W,Silver +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"RAMOS MISIONE, Luis Gregorio",Men,ESP,Spain,M,Silver +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"ZIRZOW, Carola",Women,GDR,East Germany,W,Bronze +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"ROMANOVSKY, Vladimir",Men,URS,Soviet Union,M,Silver +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"DANIELOV, Gheorghe",Men,ROU,Romania,M,Silver +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,C-1 500m (canoe single),"WOOD, John",Men,CAN,Canada,M,Silver +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"SZTANITY, Zoltan",Men,HUN,Hungary,M,Silver +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"HELM, Rüdiger",Men,GDR,East Germany,M,Bronze +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"FREY, Oszkar",Men,HUN,Hungary,M,Bronze +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"LOPEZ DIAZ FLOR, Jose Ramon",Men,ESP,Spain,M,Silver +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"OLBRICHT, Bernd",Men,GDR,East Germany,M,Gold +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"VINOGRADOV, Aleksandr",Men,URS,Soviet Union,M,Gold +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"MATTERN, Joachim",Men,GDR,East Germany,M,Gold +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,C-1 1000m (canoe single),"WICHMANN, Tamas",Men,HUN,Hungary,M,Bronze +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"ESTEBAN CELLORIO, Jose Maria",Men,ESP,Spain,M,Silver +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"GRONOWICZ, Andrzej",Men,POL,Poland,M,Silver +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"PETRENKO, Sergei",Men,URS,Soviet Union,M,Gold +Montreal,1976,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"KREFT-ALEKSEEVA, Galina",Women,URS,Soviet Union,W,Gold +Montreal,1976,Cycling,Cycling Road,individual road race,"MARTINELLI, Giuseppe",Men,ITA,Italy,M,Silver +Montreal,1976,Cycling,Cycling Road,team time trial,"SZURKOWSKI, Ryszard",Men,POL,Poland,M,Silver +Montreal,1976,Cycling,Cycling Road,team time trial,"NOWICKI, Mieczyslaw",Men,POL,Poland,M,Silver +Montreal,1976,Cycling,Cycling Road,team time trial,"CHAPLYGIN, Valeri",Men,URS,Soviet Union,M,Gold +Montreal,1976,Cycling,Cycling Road,team time trial,"BLAUDZUN, Verner",Men,DEN,Denmark,M,Bronze +Montreal,1976,Cycling,Cycling Road,team time trial,"MYTNIK, Tadeusz",Men,POL,Poland,M,Silver +Montreal,1976,Cycling,Cycling Road,team time trial,"LUND, Jorn",Men,DEN,Denmark,M,Bronze +Montreal,1976,Cycling,Cycling Road,team time trial,"HANSEN, Jorgen Emil",Men,DEN,Denmark,M,Bronze +Montreal,1976,Cycling,Cycling Road,team time trial,"CHUKANOV, Anatoli",Men,URS,Soviet Union,M,Gold +Montreal,1976,Cycling,Cycling Road,individual road race,"JOHANSSON, Bernt",Men,SWE,Sweden,M,Gold +Montreal,1976,Cycling,Cycling Road,team time trial,"SZOZDA, Stanislaw",Men,POL,Poland,M,Silver +Montreal,1976,Cycling,Cycling Road,team time trial,"KAMINSKY, Vladimir",Men,URS,Soviet Union,M,Gold +Montreal,1976,Cycling,Cycling Road,team time trial,"PIKKUUS, Aavo",Men,URS,Soviet Union,M,Gold +Montreal,1976,Cycling,Cycling Road,team time trial,"FRANK, Gert",Men,DEN,Denmark,M,Bronze +Montreal,1976,Cycling,Cycling Road,individual road race,"NOWICKI, Mieczyslaw",Men,POL,Poland,M,Bronze +Montreal,1976,Cycling,Cycling Track,Team Pursuit (4000m),"OSOKIN, Vladimir",Men,URS,Soviet Union,M,Silver +Montreal,1976,Cycling,Cycling Track,Sprint indivual,"TKAC, Anton",Men,TCH,Czechoslovakia,M,Gold +Montreal,1976,Cycling,Cycling Track,Team Pursuit (4000m),"HALLAM, Ian",Men,GBR,United Kingdom,M,Bronze +Montreal,1976,Cycling,Cycling Track,Sprint indivual,"MORELON, Daniel",Men,FRA,France,M,Silver +Montreal,1976,Cycling,Cycling Track,1km time trial,"GRÜNKE, Klaus-Jürgen",Men,GDR,East Germany,M,Gold +Montreal,1976,Cycling,Cycling Track,Individual Pursuit,"PONSTEEN, Herman",Men,NED,Netherlands,M,Silver +Montreal,1976,Cycling,Cycling Track,Individual Pursuit,"HUSCHKE, Thomas",Men,GDR,East Germany,M,Bronze +Montreal,1976,Cycling,Cycling Track,Sprint indivual,"GESCHKE, Hans-Jürgen",Men,GDR,East Germany,M,Bronze +Montreal,1976,Cycling,Cycling Track,Team Pursuit (4000m),"BENNETT, Michael John",Men,GBR,United Kingdom,M,Bronze +Montreal,1976,Cycling,Cycling Track,Team Pursuit (4000m),"VONHOF, Peter",Men,FRG,West Germany,M,Gold +Montreal,1976,Cycling,Cycling Track,Team Pursuit (4000m),"PEROV, Aleksandr",Men,URS,Soviet Union,M,Silver +Montreal,1976,Cycling,Cycling Track,Team Pursuit (4000m),"BANBURY, Ian",Men,GBR,United Kingdom,M,Bronze +Montreal,1976,Cycling,Cycling Track,Team Pursuit (4000m),"CROKER, Robin",Men,GBR,United Kingdom,M,Bronze +Montreal,1976,Cycling,Cycling Track,Individual Pursuit,"BRAUN, Gregor",Men,FRG,West Germany,M,Gold +Montreal,1976,Cycling,Cycling Track,Team Pursuit (4000m),"SCHUHMACHER, Günther",Men,FRG,West Germany,M,Gold +Montreal,1976,Cycling,Cycling Track,1km time trial,"VAARTEN, Michel",Men,BEL,Belgium,M,Silver +Montreal,1976,Cycling,Cycling Track,Team Pursuit (4000m),"LUTZ, Hans",Men,FRG,West Germany,M,Gold +Montreal,1976,Cycling,Cycling Track,Team Pursuit (4000m),"PETRAKOV, Vitali",Men,URS,Soviet Union,M,Silver +Montreal,1976,Cycling,Cycling Track,Team Pursuit (4000m),"SOKOLOV, Viktor",Men,URS,Soviet Union,M,Silver +Montreal,1976,Cycling,Cycling Track,Team Pursuit (4000m),"BRAUN, Gregor",Men,FRG,West Germany,M,Gold +Montreal,1976,Cycling,Cycling Track,1km time trial,"FREDBORG, Niels Christian",Men,DEN,Denmark,M,Bronze +Montreal,1976,Equestrian,Dressage,team,"STUECKELBERGER, Christine",Women,SUI,Switzerland,X,Silver +Montreal,1976,Equestrian,Dressage,team,"GURNEY, Hilda Carolyn",Women,USA,United States,X,Bronze +Montreal,1976,Equestrian,Dressage,individual,"BOLDT, Harry",Men,FRG,West Germany,X,Silver +Montreal,1976,Equestrian,Dressage,team,"RAMSEIER, Doris",Women,SUI,Switzerland,X,Silver +Montreal,1976,Equestrian,Dressage,team,"GRILLO, Gabriela",Women,FRG,West Germany,X,Gold +Montreal,1976,Equestrian,Dressage,individual,"STUECKELBERGER, Christine",Women,SUI,Switzerland,X,Gold +Montreal,1976,Equestrian,Dressage,team,"MORKIS, Dorothy Sarkis",Women,USA,United States,X,Bronze +Montreal,1976,Equestrian,Dressage,team,"LEHMANN, Ulrich",Men,SUI,Switzerland,X,Silver +Montreal,1976,Equestrian,Dressage,team,"MASTER, Edith Louise",Women,USA,United States,X,Bronze +Montreal,1976,Equestrian,Dressage,team,"BOLDT, Harry",Men,FRG,West Germany,X,Gold +Montreal,1976,Equestrian,Dressage,individual,"KLIMKE, Reiner",Men,FRG,West Germany,X,Bronze +Montreal,1976,Equestrian,Dressage,team,"KLIMKE, Reiner",Men,FRG,West Germany,X,Gold +Montreal,1976,Equestrian,Eventing,team,"PLUMB, John Michael",Men,USA,United States,X,Gold +Montreal,1976,Equestrian,Eventing,team,"DAVIDSON, Bruce Oram",Men,USA,United States,X,Gold +Montreal,1976,Equestrian,Eventing,team,"RETHEMEIER, Helmut",Men,FRG,West Germany,X,Silver +Montreal,1976,Equestrian,Eventing,individual,"PLUMB, John Michael",Men,USA,United States,X,Silver +Montreal,1976,Equestrian,Eventing,team,"COFFIN, Edmund Sloane",Men,USA,United States,X,Gold +Montreal,1976,Equestrian,Eventing,team,"ROYCROFT, Wayne",Men,AUS,Australia,X,Bronze +Montreal,1976,Equestrian,Eventing,team,"AMMERMANN, Otto",Men,FRG,West Germany,X,Silver +Montreal,1976,Equestrian,Eventing,team,"PIGOTT, Dennis",Men,AUS,Australia,X,Bronze +Montreal,1976,Equestrian,Eventing,team,"TAUSKEY, Mary Anne",Women,USA,United States,X,Gold +Montreal,1976,Equestrian,Eventing,team,"BLÖCKER, Herbert",Men,FRG,West Germany,X,Silver +Montreal,1976,Equestrian,Eventing,team,"ROYCROFT, William",Men,AUS,Australia,X,Bronze +Montreal,1976,Equestrian,Eventing,individual,"SCHULTZ, Karl",Men,FRG,West Germany,X,Bronze +Montreal,1976,Equestrian,Eventing,individual,"COFFIN, Edmund Sloane",Men,USA,United States,X,Gold +Montreal,1976,Equestrian,Eventing,team,"SCHULTZ, Karl",Men,FRG,West Germany,X,Silver +Montreal,1976,Equestrian,Eventing,team,"BENNETT, Mervyn",Men,AUS,Australia,X,Bronze +Montreal,1976,Equestrian,Jumping,team,"SCHOCKEMÖHLE, Alwin",Men,FRG,West Germany,X,Silver +Montreal,1976,Equestrian,Jumping,individual,"VAILLANCOURT, Michel",Men,CAN,Canada,X,Silver +Montreal,1976,Equestrian,Jumping,team,"SCHOCKEMÖHLE, Paul",Men,FRG,West Germany,X,Silver +Montreal,1976,Equestrian,Jumping,individual,"MATHY, Francois",Men,BEL,Belgium,X,Bronze +Montreal,1976,Equestrian,Jumping,team,"ROZIER, Jean Marcel",Men,FRA,France,X,Gold +Montreal,1976,Equestrian,Jumping,team,"CUEPPER, Edgar-Henri",Men,BEL,Belgium,X,Bronze +Montreal,1976,Equestrian,Jumping,individual,"SCHOCKEMÖHLE, Alwin",Men,FRG,West Germany,X,Gold +Montreal,1976,Equestrian,Jumping,team,"WINKLER, Hans Günter",Men,FRG,West Germany,X,Silver +Montreal,1976,Equestrian,Jumping,team,"MATHY, Francois",Men,BEL,Belgium,X,Bronze +Montreal,1976,Equestrian,Jumping,team,"VAN PAESSCHEN, Stanny",Men,BEL,Belgium,X,Bronze +Montreal,1976,Equestrian,Jumping,team,"SÖNKSEN, Sönke",Men,FRG,West Germany,X,Silver +Montreal,1976,Equestrian,Jumping,team,"ROGUET, Marc",Men,FRA,France,X,Gold +Montreal,1976,Equestrian,Jumping,team,"WAUTERS, Eric",Men,BEL,Belgium,X,Bronze +Montreal,1976,Equestrian,Jumping,team,"ROCHE, Michel",Men,FRA,France,X,Gold +Montreal,1976,Equestrian,Jumping,team,"PAROT, Hubert",Men,FRA,France,X,Gold +Montreal,1976,Fencing,Fencing,épée team,"PUSCH, Alexander",Men,FRG,West Germany,M,Silver +Montreal,1976,Fencing,Fencing,sabre team,"NILCA, Alexandru",Men,ROU,Romania,M,Bronze +Montreal,1976,Fencing,Fencing,foil team,"NOVIKOVA-BELOVA, Elena",Women,URS,Soviet Union,W,Gold +Montreal,1976,Fencing,Fencing,sabre team,"MONTANO, Mario Tullio",Men,ITA,Italy,M,Silver +Montreal,1976,Fencing,Fencing,sabre team,"MONTANO, Tommaso",Men,ITA,Italy,M,Silver +Montreal,1976,Fencing,Fencing,épée team,"FISCHER, Volker",Men,FRG,West Germany,M,Silver +Montreal,1976,Fencing,Fencing,foil team,"BACH, Thomas",Men,FRG,West Germany,M,Gold +Montreal,1976,Fencing,Fencing,épée team,"KAUTER, Christian",Men,SUI,Switzerland,M,Bronze +Montreal,1976,Fencing,Fencing,foil team,"HERBSTER-JOSLAND, Claudette",Women,FRA,France,W,Silver +Montreal,1976,Fencing,Fencing,foil team,"NIKONOVA, Valentina",Women,URS,Soviet Union,W,Gold +Montreal,1976,Fencing,Fencing,foil individual,"DAL ZOTTO, Fabio",Men,ITA,Italy,M,Gold +Montreal,1976,Fencing,Fencing,épée team,"VON ESSEN, Carl",Men,SWE,Sweden,M,Gold +Montreal,1976,Fencing,Fencing,épée team,"EVEQUOZ, Jean-Blaise",Men,SUI,Switzerland,M,Bronze +Montreal,1976,Fencing,Fencing,sabre team,"POP, Ioan",Men,ROU,Romania,M,Bronze +Montreal,1976,Fencing,Fencing,sabre team,"BURTSEV, Mikhail",Men,URS,Soviet Union,M,Gold +Montreal,1976,Fencing,Fencing,sabre team,"MARIN, Corneliu",Men,ROU,Romania,M,Bronze +Montreal,1976,Fencing,Fencing,foil team,"COLETTI, Giovanni Battista",Men,ITA,Italy,M,Silver +Montreal,1976,Fencing,Fencing,foil team,"PIETRUSZKA, Frederic",Men,FRA,France,M,Bronze +Montreal,1976,Fencing,Fencing,foil team,"TRINQUET, Veronique",Women,FRA,France,W,Silver +Montreal,1976,Fencing,Fencing,foil individual,"COLLINO, Maria Consolata",Women,ITA,Italy,W,Silver +Montreal,1976,Fencing,Fencing,foil team,"DAL ZOTTO, Fabio",Men,ITA,Italy,M,Silver +Montreal,1976,Fencing,Fencing,épée team,"POFFET, Michel",Men,SUI,Switzerland,M,Bronze +Montreal,1976,Fencing,Fencing,épée team,"BEHR, Reinhold",Men,FRG,West Germany,M,Silver +Montreal,1976,Fencing,Fencing,sabre individual,"NAZLYMOV, Vladimir",Men,URS,Soviet Union,M,Silver +Montreal,1976,Fencing,Fencing,épée team,"HÖGSTRÖM, Leif",Men,SWE,Sweden,M,Gold +Montreal,1976,Fencing,Fencing,épée team,"GIGER, Daniel",Men,SUI,Switzerland,M,Bronze +Montreal,1976,Fencing,Fencing,foil team,"MAROS, Magda",Women,HUN,Hungary,W,Bronze +Montreal,1976,Fencing,Fencing,foil team,"REVENU, Daniel",Men,FRA,France,M,Bronze +Montreal,1976,Fencing,Fencing,épée individual,"PUSCH, Alexander",Men,FRG,West Germany,M,Gold +Montreal,1976,Fencing,Fencing,sabre team,"VINOKUROV, Eduard",Men,URS,Soviet Union,M,Gold +Montreal,1976,Fencing,Fencing,sabre team,"MONTANO, Mario Aldo",Men,ITA,Italy,M,Silver +Montreal,1976,Fencing,Fencing,foil team,"REICHERT, Klaus",Men,FRG,West Germany,M,Gold +Montreal,1976,Fencing,Fencing,foil team,"HEIN, Harald",Men,FRG,West Germany,M,Gold +Montreal,1976,Fencing,Fencing,foil team,"TALVARD, Bernard",Men,FRA,France,M,Bronze +Montreal,1976,Fencing,Fencing,foil individual,"SCHWARCZENBERGER, Ildiko",Women,HUN,Hungary,W,Gold +Montreal,1976,Fencing,Fencing,sabre team,"ARCIDIACONO, Angelo",Men,ITA,Italy,M,Silver +Montreal,1976,Fencing,Fencing,épée team,"JACOBSON, Hans",Men,SWE,Sweden,M,Gold +Montreal,1976,Fencing,Fencing,épée individual,"HEHN, Hans-Jürgen",Men,FRG,West Germany,M,Silver +Montreal,1976,Fencing,Fencing,sabre individual,"KROVOPUSKOV, Viktor",Men,URS,Soviet Union,M,Gold +Montreal,1976,Fencing,Fencing,foil team,"KOVACS, Edit",Women,HUN,Hungary,W,Bronze +Montreal,1976,Fencing,Fencing,foil team,"KNYAZEVA, Olga",Women,URS,Soviet Union,W,Gold +Montreal,1976,Fencing,Fencing,foil individual,"NOVIKOVA-BELOVA, Elena",Women,URS,Soviet Union,W,Bronze +Montreal,1976,Fencing,Fencing,foil team,"NOËL, Christian",Men,FRA,France,M,Bronze +Montreal,1976,Fencing,Fencing,foil team,"MONTANO, Carlo",Men,ITA,Italy,M,Silver +Montreal,1976,Fencing,Fencing,foil team,"LATRILLE-GAUDIN, Brigitte",Women,FRA,France,W,Silver +Montreal,1976,Fencing,Fencing,épée individual,"KULCSAR, Gyözö",Men,HUN,Hungary,M,Bronze +Montreal,1976,Fencing,Fencing,foil team,"SIDOROVA, Valentina",Women,URS,Soviet Union,W,Gold +Montreal,1976,Fencing,Fencing,foil individual,"ROMANKOV, Aleksander",Men,URS,Soviet Union,M,Silver +Montreal,1976,Fencing,Fencing,épée team,"FLODSTRÖM, Göran",Men,SWE,Sweden,M,Gold +Montreal,1976,Fencing,Fencing,foil team,"SIMONCELLI, Stefano",Men,ITA,Italy,M,Silver +Montreal,1976,Fencing,Fencing,sabre team,"NAZLYMOV, Vladimir",Men,URS,Soviet Union,M,Gold +Montreal,1976,Fencing,Fencing,épée team,"HEHN, Hans-Jürgen",Men,FRG,West Germany,M,Silver +Montreal,1976,Fencing,Fencing,foil team,"CALATRONI, Attilio",Men,ITA,Italy,M,Silver +Montreal,1976,Fencing,Fencing,foil team,"GILIAZOVA, Nailia",Women,URS,Soviet Union,W,Gold +Montreal,1976,Fencing,Fencing,sabre team,"KROVOPUSKOV, Viktor",Men,URS,Soviet Union,M,Gold +Montreal,1976,Fencing,Fencing,sabre team,"IRIMICIUC, Daniel",Men,ROU,Romania,M,Bronze +Montreal,1976,Fencing,Fencing,sabre team,"MAFFEI, Michele",Men,ITA,Italy,M,Silver +Montreal,1976,Fencing,Fencing,épée team,"SUCHANECKI, Francois",Men,SUI,Switzerland,M,Bronze +Montreal,1976,Fencing,Fencing,foil team,"MUZIO, Christine",Women,FRA,France,W,Silver +Montreal,1976,Fencing,Fencing,sabre team,"MUSTATA, Marin",Men,ROU,Romania,M,Bronze +Montreal,1976,Fencing,Fencing,foil team,"BEHR, Matthias",Men,FRG,West Germany,M,Gold +Montreal,1976,Fencing,Fencing,foil team,"BOBIS-FERKASINSZKY, Ildiko",Women,HUN,Hungary,W,Bronze +Montreal,1976,Fencing,Fencing,sabre team,"SIDYAK, Viktor",Men,URS,Soviet Union,M,Gold +Montreal,1976,Fencing,Fencing,foil team,"SCHWARCZENBERGER, Ildiko",Women,HUN,Hungary,W,Bronze +Montreal,1976,Fencing,Fencing,foil team,"FLAMENT, Didier",Men,FRA,France,M,Bronze +Montreal,1976,Fencing,Fencing,foil team,"REJTO-UJLAKI, Ildiko",Women,HUN,Hungary,W,Bronze +Montreal,1976,Fencing,Fencing,foil team,"GAPAIS-DUMONT, Brigitte",Women,FRA,France,W,Silver +Montreal,1976,Fencing,Fencing,sabre individual,"SIDYAK, Viktor",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Fencing,Fencing,épée team,"EDLING, Rolf",Men,SWE,Sweden,M,Gold +Montreal,1976,Fencing,Fencing,foil team,"SENS-GORIUS, Erk",Men,FRG,West Germany,M,Gold +Montreal,1976,Fencing,Fencing,foil individual,"TALVARD, Bernard",Men,FRA,France,M,Bronze +Montreal,1976,Football,Football,football,"GRÖBNER, Wilfried",Men,GDR,East Germany,M,Gold +Montreal,1976,Football,Football,football,"RIEDIGER, Hans-Jürgen",Men,GDR,East Germany,M,Gold +Montreal,1976,Football,Football,football,"LÖWE, Wolfram",Men,GDR,East Germany,M,Gold +Montreal,1976,Football,Football,football,"RIEDEL, Dieter",Men,GDR,East Germany,M,Gold +Montreal,1976,Football,Football,football,"MOWLIK, Piotr",Men,POL,Poland,M,Silver +Montreal,1976,Football,Football,football,"BLOKHIN, Oleg",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Football,Football,football,"SZYMANOWSKI, Antoni",Men,POL,Poland,M,Silver +Montreal,1976,Football,Football,football,"NAZARENKO, Leonid",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Football,Football,football,"HOFFMANN, Martin",Men,GDR,East Germany,M,Gold +Montreal,1976,Football,Football,football,"RESHKO, Stefan",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Football,Football,football,"FOMENKO, Mikhail",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Football,Football,football,"OGAZA, Roman",Men,POL,Poland,M,Silver +Montreal,1976,Football,Football,football,"SCHADE, Hartmut",Men,GDR,East Germany,M,Gold +Montreal,1976,Football,Football,football,"KURBJUWEIT, Lothar",Men,GDR,East Germany,M,Gold +Montreal,1976,Football,Football,football,"HEIDLER, Gerd",Men,GDR,East Germany,M,Gold +Montreal,1976,Football,Football,football,"GRAPENTHIN, Hans-Ulrich",Men,GDR,East Germany,M,Gold +Montreal,1976,Football,Football,football,"KMIECIK, Kazimierz",Men,POL,Poland,M,Silver +Montreal,1976,Football,Football,football,"BENIGER, Jan",Men,POL,Poland,M,Silver +Montreal,1976,Football,Football,football,"KOLOTOV, Viktor",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Football,Football,football,"MINAEV, Aleksandr",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Football,Football,football,"HÄFNER, Reinhard",Men,GDR,East Germany,M,Gold +Montreal,1976,Football,Football,football,"ONISHCHENKO, Vladimir",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Football,Football,football,"LATO, Grzegorz",Men,POL,Poland,M,Silver +Montreal,1976,Football,Football,football,"FEDOROV, Vladimir",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Football,Football,football,"TOMASZEWSKI, Jan",Men,POL,Poland,M,Silver +Montreal,1976,Football,Football,football,"DÖRNER, Hans-Jürgen",Men,GDR,East Germany,M,Gold +Montreal,1976,Football,Football,football,"PROKHOROV, Aleksandr",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Football,Football,football,"BURYAK, Leonid",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Football,Football,football,"ZVYAGINTSEV, Viktor",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Football,Football,football,"ZMUDA, Wladyslaw",Men,POL,Poland,M,Silver +Montreal,1976,Football,Football,football,"WAWROWSKI, Henryk",Men,POL,Poland,M,Silver +Montreal,1976,Football,Football,football,"WEBER, Gerd",Men,GDR,East Germany,M,Gold +Montreal,1976,Football,Football,football,"DEYNA, Kazimierz",Men,POL,Poland,M,Silver +Montreal,1976,Football,Football,football,"SZARMACH, Andrzej",Men,POL,Poland,M,Silver +Montreal,1976,Football,Football,football,"RUDY, Wojciech",Men,POL,Poland,M,Silver +Montreal,1976,Football,Football,football,"MASZCZYK, Zygmunt",Men,POL,Poland,M,Silver +Montreal,1976,Football,Football,football,"VEREMEEV, Vladimir",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Football,Football,football,"CROY, Jürgen",Men,GDR,East Germany,M,Gold +Montreal,1976,Football,Football,football,"BRANSCH, Bernd",Men,GDR,East Germany,M,Gold +Montreal,1976,Football,Football,football,"CMIKIEWICZ, Leslaw",Men,POL,Poland,M,Silver +Montreal,1976,Football,Football,football,"KIPIANI, David",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Football,Football,football,"KASPERCZAK, Henryk",Men,POL,Poland,M,Silver +Montreal,1976,Football,Football,football,"KONKOV, Anatoli",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Football,Football,football,"ASTAPOVSKY, Vladimir",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Football,Football,football,"MATVIENKO, Viktor",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Football,Football,football,"WIECZOREK, Henryk",Men,POL,Poland,M,Silver +Montreal,1976,Football,Football,football,"GORGON, Jerzy",Men,POL,Poland,M,Silver +Montreal,1976,Football,Football,football,"LAUCK, Reinhard",Men,GDR,East Germany,M,Gold +Montreal,1976,Football,Football,football,"TROSHKIN, Vladimir",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Football,Football,football,"WEISE, Konrad",Men,GDR,East Germany,M,Gold +Montreal,1976,Football,Football,football,"KISCHE, Gerd",Men,GDR,East Germany,M,Gold +Montreal,1976,Gymnastics,Artistic G.,team competition,"KAJIYAMA, Hiroshi",Men,JPN,Japan,M,Gold +Montreal,1976,Gymnastics,Artistic G.,team competition,"CONSTANTIN, Mariana",Women,ROU,Romania,W,Silver +Montreal,1976,Gymnastics,Artistic G.,team competition,"KENMOTSU, Eizo",Men,JPN,Japan,M,Gold +Montreal,1976,Gymnastics,Artistic G.,individual all-round,"KIM, Nelli",Women,URS,Soviet Union,W,Silver +Montreal,1976,Gymnastics,Artistic G.,parallel bars,"ANDRIANOV, Nikolay",Men,URS,Soviet Union,M,Silver +Montreal,1976,Gymnastics,Artistic G.,team competition,"UNGUREANU, Teodora",Women,ROU,Romania,W,Silver +Montreal,1976,Gymnastics,Artistic G.,vault,"ANDRIANOV, Nikolay",Men,URS,Soviet Union,M,Gold +Montreal,1976,Gymnastics,Artistic G.,parallel bars,"KATO, Sawao",Men,JPN,Japan,M,Gold +Montreal,1976,Gymnastics,Artistic G.,team competition,"FUJIMOTO, Shun",Men,JPN,Japan,M,Gold +Montreal,1976,Gymnastics,Artistic G.,vault,"TURISCHEVA, Lyudmila",Women,URS,Soviet Union,W,Silver +Montreal,1976,Gymnastics,Artistic G.,pommel horse,"KENMOTSU, Eizo",Men,JPN,Japan,M,Silver +Montreal,1976,Gymnastics,Artistic G.,individual all-round,"TSUKAHARA, Mitsuo",Men,JPN,Japan,M,Bronze +Montreal,1976,Gymnastics,Artistic G.,vault,"DOMBECK, Carola",Women,GDR,East Germany,W,Silver +Montreal,1976,Gymnastics,Artistic G.,team competition,"MARCHENKO, Vladimir",Men,URS,Soviet Union,M,Silver +Montreal,1976,Gymnastics,Artistic G.,individual all-round,"TURISCHEVA, Lyudmila",Women,URS,Soviet Union,W,Bronze +Montreal,1976,Gymnastics,Artistic G.,team competition,"KRÄKER, Steffi",Women,GDR,East Germany,W,Bronze +Montreal,1976,Gymnastics,Artistic G.,team competition,"TRUSCA, Gabriela",Women,ROU,Romania,W,Silver +Montreal,1976,Gymnastics,Artistic G.,horizontal bar,"GIENGER, Eberhard",Men,FRG,West Germany,M,Bronze +Montreal,1976,Gymnastics,Artistic G.,team competition,"SAADI, Elvira",Women,URS,Soviet Union,W,Gold +Montreal,1976,Gymnastics,Artistic G.,uneven bars,"EGERVARY, Marta",Women,HUN,Hungary,W,Bronze +Montreal,1976,Gymnastics,Artistic G.,team competition,"TURISCHEVA, Lyudmila",Women,URS,Soviet Union,W,Gold +Montreal,1976,Gymnastics,Artistic G.,team competition,"GABOR, Georgeta",Women,ROU,Romania,W,Silver +Montreal,1976,Gymnastics,Artistic G.,balance beam,"COMANECI, Nadia",Women,ROU,Romania,W,Gold +Montreal,1976,Gymnastics,Artistic G.,horizontal bar,"BOERIO, Henry",Men,FRA,France,M,Bronze +Montreal,1976,Gymnastics,Artistic G.,vault,"KAJIYAMA, Hiroshi",Men,JPN,Japan,M,Bronze +Montreal,1976,Gymnastics,Artistic G.,team competition,"ESCHER, Gitta",Women,GDR,East Germany,W,Bronze +Montreal,1976,Gymnastics,Artistic G.,floor exercises,"KIM, Nelli",Women,URS,Soviet Union,W,Gold +Montreal,1976,Gymnastics,Artistic G.,individual all-round,"KATO, Sawao",Men,JPN,Japan,M,Silver +Montreal,1976,Gymnastics,Artistic G.,horizontal bar,"KENMOTSU, Eizo",Men,JPN,Japan,M,Silver +Montreal,1976,Gymnastics,Artistic G.,team competition,"FILATOVA, Maria",Women,URS,Soviet Union,W,Gold +Montreal,1976,Gymnastics,Artistic G.,floor exercises,"TURISCHEVA, Lyudmila",Women,URS,Soviet Union,W,Silver +Montreal,1976,Gymnastics,Artistic G.,rings,"GRECU, Danut",Men,ROU,Romania,M,Bronze +Montreal,1976,Gymnastics,Artistic G.,floor exercises,"KORMANN, Peter Martin",Men,USA,United States,M,Bronze +Montreal,1976,Gymnastics,Artistic G.,team competition,"HANSCHKE, Rainer",Men,GDR,East Germany,M,Bronze +Montreal,1976,Gymnastics,Artistic G.,team competition,"GRIGORAS, Anca",Women,ROU,Romania,W,Silver +Montreal,1976,Gymnastics,Artistic G.,balance beam,"UNGUREANU, Teodora",Women,ROU,Romania,W,Bronze +Montreal,1976,Gymnastics,Artistic G.,pommel horse,"MAGYAR, Zoltan",Men,HUN,Hungary,M,Gold +Montreal,1976,Gymnastics,Artistic G.,pommel horse,"NIKOLAY, Michael",Men,GDR,East Germany,M,Bronze +Montreal,1976,Gymnastics,Artistic G.,team competition,"TSUKAHARA, Mitsuo",Men,JPN,Japan,M,Gold +Montreal,1976,Gymnastics,Artistic G.,horizontal bar,"TSUKAHARA, Mitsuo",Men,JPN,Japan,M,Gold +Montreal,1976,Gymnastics,Artistic G.,team competition,"IGARASHI, Hisato",Men,JPN,Japan,M,Gold +Montreal,1976,Gymnastics,Artistic G.,balance beam,"KORBUT, Olga",Women,URS,Soviet Union,W,Silver +Montreal,1976,Gymnastics,Artistic G.,team competition,"KIM, Nelli",Women,URS,Soviet Union,W,Gold +Montreal,1976,Gymnastics,Artistic G.,vault,"KIM, Nelli",Women,URS,Soviet Union,W,Gold +Montreal,1976,Gymnastics,Artistic G.,team competition,"ANDRIANOV, Nikolay",Men,URS,Soviet Union,M,Silver +Montreal,1976,Gymnastics,Artistic G.,team competition,"KRYSSIN, Gennadi",Men,URS,Soviet Union,M,Silver +Montreal,1976,Gymnastics,Artistic G.,team competition,"HELLMANN, Angelika",Women,GDR,East Germany,W,Bronze +Montreal,1976,Gymnastics,Artistic G.,floor exercises,"ANDRIANOV, Nikolay",Men,URS,Soviet Union,M,Gold +Montreal,1976,Gymnastics,Artistic G.,team competition,"KISCHE, Marion",Women,GDR,East Germany,W,Bronze +Montreal,1976,Gymnastics,Artistic G.,team competition,"MACK, Lutz",Men,GDR,East Germany,M,Bronze +Montreal,1976,Gymnastics,Artistic G.,floor exercises,"COMANECI, Nadia",Women,ROU,Romania,W,Bronze +Montreal,1976,Gymnastics,Artistic G.,team competition,"DOMBECK, Carola",Women,GDR,East Germany,W,Bronze +Montreal,1976,Gymnastics,Artistic G.,uneven bars,"UNGUREANU, Teodora",Women,ROU,Romania,W,Silver +Montreal,1976,Gymnastics,Artistic G.,rings,"ANDRIANOV, Nikolay",Men,URS,Soviet Union,M,Gold +Montreal,1976,Gymnastics,Artistic G.,uneven bars,"COMANECI, Nadia",Women,ROU,Romania,W,Gold +Montreal,1976,Gymnastics,Artistic G.,team competition,"MARKELOV, Vladimir",Men,URS,Soviet Union,M,Silver +Montreal,1976,Gymnastics,Artistic G.,team competition,"BRÜCKNER, Roland",Men,GDR,East Germany,M,Bronze +Montreal,1976,Gymnastics,Artistic G.,vault,"TSUKAHARA, Mitsuo",Men,JPN,Japan,M,Silver +Montreal,1976,Gymnastics,Artistic G.,team competition,"KATO, Sawao",Men,JPN,Japan,M,Gold +Montreal,1976,Gymnastics,Artistic G.,team competition,"GROZDOVA, Svetlana",Women,URS,Soviet Union,W,Gold +Montreal,1976,Gymnastics,Artistic G.,floor exercises,"MARCHENKO, Vladimir",Men,URS,Soviet Union,M,Silver +Montreal,1976,Gymnastics,Artistic G.,pommel horse,"ANDRIANOV, Nikolay",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Gymnastics,Artistic G.,team competition,"DITYATIN, Aleksandr",Men,URS,Soviet Union,M,Silver +Montreal,1976,Gymnastics,Artistic G.,rings,"DITYATIN, Aleksandr",Men,URS,Soviet Union,M,Silver +Montreal,1976,Gymnastics,Artistic G.,team competition,"TIKHONOV, Vladimir",Men,URS,Soviet Union,M,Silver +Montreal,1976,Gymnastics,Artistic G.,team competition,"KORBUT, Olga",Women,URS,Soviet Union,W,Gold +Montreal,1976,Gymnastics,Artistic G.,team competition,"NIKOLAY, Michael",Men,GDR,East Germany,M,Bronze +Montreal,1976,Gymnastics,Artistic G.,team competition,"KLOTZ, Wolfgang",Men,GDR,East Germany,M,Bronze +Montreal,1976,Gymnastics,Artistic G.,team competition,"COMANECI, Nadia",Women,ROU,Romania,W,Silver +Montreal,1976,Gymnastics,Artistic G.,team competition,"GERSCHAU, Kerstin",Women,GDR,East Germany,W,Bronze +Montreal,1976,Gymnastics,Artistic G.,team competition,"JÄGER, Bernd",Men,GDR,East Germany,M,Bronze +Montreal,1976,Gymnastics,Artistic G.,parallel bars,"TSUKAHARA, Mitsuo",Men,JPN,Japan,M,Bronze +Montreal,1976,Gymnastics,Artistic G.,individual all-round,"ANDRIANOV, Nikolay",Men,URS,Soviet Union,M,Gold +Montreal,1976,Gymnastics,Artistic G.,individual all-round,"COMANECI, Nadia",Women,ROU,Romania,W,Gold +Montreal,1976,Handball,Handball,handball,"BERZSENYI, Maria",Women,HUN,Hungary,W,Bronze +Montreal,1976,Handball,Handball,handball,"KUSHNIRYUK, Sergei",Men,URS,Soviet Union,M,Gold +Montreal,1976,Handball,Handball,handball,"MEGYERI, Marta",Women,HUN,Hungary,W,Bronze +Montreal,1976,Handball,Handball,handball,"FEDYUKIN, Anatoli",Men,URS,Soviet Union,M,Gold +Montreal,1976,Handball,Handball,handball,"KUCHTA, Zygfryd",Men,POL,Poland,M,Bronze +Montreal,1976,Handball,Handball,handball,"BUJDOSO, Agota",Women,HUN,Hungary,W,Bronze +Montreal,1976,Handball,Handball,handball,"COSMA, Adrian",Men,ROU,Romania,M,Silver +Montreal,1976,Handball,Handball,handball,"RICHTER-HOCHMUT, Kristina",Women,GDR,East Germany,W,Silver +Montreal,1976,Handball,Handball,handball,"ANPILOGOV, Aleksandr",Men,URS,Soviet Union,M,Gold +Montreal,1976,Handball,Handball,handball,"PENU, Cornel",Men,ROU,Romania,M,Silver +Montreal,1976,Handball,Handball,handball,"KRAVTSOV, Vladimir",Men,URS,Soviet Union,M,Gold +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +,,,,,,,,,, +Montreal,1976,Handball,Handball,handball,"ISHCHENKO, Mikhail",Men,URS,Soviet Union,M,Gold +Montreal,1976,Handball,Handball,handball,"BUROSCH, Hannelore",Women,GDR,East Germany,W,Silver +Montreal,1976,Handball,Handball,handball,"BOBRUS-PARADNIK, Liudmila",Women,URS,Soviet Union,W,Gold +Montreal,1976,Handball,Handball,handball,"ILYIN, Vasili",Men,URS,Soviet Union,M,Gold +Montreal,1976,Handball,Handball,handball,"REZANOV, Aleksandr",Men,URS,Soviet Union,M,Gold +Montreal,1976,Handball,Handball,handball,"VOINEA, Radu",Men,ROU,Romania,M,Silver +Montreal,1976,Handball,Handball,handball,"NAGY, Ilona",Women,HUN,Hungary,W,Bronze +Montreal,1976,Handball,Handball,handball,"LITOSHCHENKO, Mariya",Women,URS,Soviet Union,W,Gold +Montreal,1976,Handball,Handball,handball,"SHABANOVA, Rafiga",Women,URS,Soviet Union,W,Gold +Montreal,1976,Handball,Handball,handball,"SHERSTYUK-TIMOSHKINA, Natalia",Women,URS,Soviet Union,W,Gold +Montreal,1976,Handball,Handball,handball,"KARLOVA, Larisa",Women,URS,Soviet Union,W,Gold +Montreal,1976,Handball,Handball,handball,"FOLKER, Alexandru",Men,ROU,Romania,M,Silver +Montreal,1976,Handball,Handball,handball,"VADASZ, Maria",Women,HUN,Hungary,W,Bronze +Montreal,1976,Handball,Handball,handball,"SHUBINA, Lyudmila",Women,URS,Soviet Union,W,Gold +Montreal,1976,Handball,Handball,handball,"KRETZSCHMAR, Waltraud",Women,GDR,East Germany,W,Silver +Montreal,1976,Handball,Handball,handball,"KLEMPEL, Jerzy",Men,POL,Poland,M,Bronze +Montreal,1976,Handball,Handball,handball,"STOCKL, Werner",Men,ROU,Romania,M,Silver +Montreal,1976,Handball,Handball,handball,"TOMIN, Nikolai",Men,URS,Soviet Union,M,Gold +Montreal,1976,Handball,Handball,handball,"LAGUTIN, Yuri",Men,URS,Soviet Union,M,Gold +Montreal,1976,Handball,Handball,handball,"TIETZ, Marion",Women,GDR,East Germany,W,Silver +Montreal,1976,Handball,Handball,handball,"GRABOVSCI, Mircea",Men,ROU,Romania,M,Silver +Montreal,1976,Handball,Handball,handball,"SZYMCZAK, Andrzej",Men,POL,Poland,M,Bronze +Montreal,1976,Handball,Handball,handball,"GASSY, Valeri",Men,URS,Soviet Union,M,Gold +Montreal,1976,Handball,Handball,handball,"PASKUY, Eva",Women,GDR,East Germany,W,Silver +Montreal,1976,Handball,Handball,handball,"TUDOSIE, Constantin",Men,ROU,Romania,M,Silver +Montreal,1976,Handball,Handball,handball,"MICHAELIS, Liane",Women,GDR,East Germany,W,Silver +Montreal,1976,Handball,Handball,handball,"MAKSIMOV, Vladimir",Men,URS,Soviet Union,M,Gold +Montreal,1976,Handball,Handball,handball,"GATU, Cristian",Men,ROU,Romania,M,Silver +Montreal,1976,Handball,Handball,handball,"NAGY, Marianna",Women,HUN,Hungary,W,Bronze +Montreal,1976,Handball,Handball,handball,"GLUSHCHENKO, Tatyana",Women,URS,Soviet Union,W,Gold +Montreal,1976,Handball,Handball,handball,"UHLIG, Petra",Women,GDR,East Germany,W,Silver +Montreal,1976,Handball,Handball,handball,"PANCHUK, Lyudmila",Women,URS,Soviet Union,W,Gold +Montreal,1976,Handball,Handball,handball,"BADOREK, Gabriele",Women,GDR,East Germany,W,Silver +Montreal,1976,Handball,Handball,handball,"TURCHINA, Zinaida",Women,URS,Soviet Union,W,Gold +Montreal,1976,Handball,Handball,handball,"KEZI, Zsuzsa",Women,HUN,Hungary,W,Bronze +Montreal,1976,Handball,Handball,handball,"KIDYAEV, Yuri",Men,URS,Soviet Union,M,Gold +Montreal,1976,Handball,Handball,handball,"ANTCZAK, Zdzislaw",Men,POL,Poland,M,Bronze +Montreal,1976,Handball,Handball,handball,"ANGYAL, Eva",Women,HUN,Hungary,W,Bronze +Montreal,1976,Handball,Handball,handball,"CHESAITITE-NENENENE, Aldona",Women,URS,Soviet Union,W,Gold +Montreal,1976,Handball,Handball,handball,"CHERNYSHOV, Evgeni",Men,URS,Soviet Union,M,Gold +Montreal,1976,Handball,Handball,handball,"LOBOVA, Nina",Women,URS,Soviet Union,W,Gold +Montreal,1976,Handball,Handball,handball,"CIESLA, Piotr",Men,POL,Poland,M,Bronze +Montreal,1976,Handball,Handball,handball,"ROZMIAREK, Henryk",Men,POL,Poland,M,Bronze +Montreal,1976,Handball,Handball,handball,"SOKOLOWSKI, Andrzej",Men,POL,Poland,M,Bronze +Montreal,1976,Handball,Handball,handball,"PRZYBYSZ, Ryszard",Men,POL,Poland,M,Bronze +Montreal,1976,Handball,Handball,handball,"ZIELINSKI, Wlodzimierz",Men,POL,Poland,M,Bronze +Montreal,1976,Handball,Handball,handball,"VOSS, Christina",Women,GDR,East Germany,W,Silver +Montreal,1976,Handball,Handball,handball,"MAKARETS-KOCHERGINA, Tatiana",Women,URS,Soviet Union,W,Gold +Montreal,1976,Handball,Handball,handball,"WOJCZAK, Mieczyslaw",Men,POL,Poland,M,Bronze +Montreal,1976,Handball,Handball,handball,"NEMETH, Erzsebet",Women,HUN,Hungary,W,Bronze +Montreal,1976,Handball,Handball,handball,"GUNES, Roland",Men,ROU,Romania,M,Silver +Montreal,1976,Handball,Handball,handball,"LICU, Ghita",Men,ROU,Romania,M,Silver +Montreal,1976,Handball,Handball,handball,"MUNTEANU, Nicolae",Men,ROU,Romania,M,Silver +Montreal,1976,Handball,Handball,handball,"TOTH-HARSANYI, Borbala",Women,HUN,Hungary,W,Bronze +Montreal,1976,Handball,Handball,handball,"MATZ, Evelyn",Women,GDR,East Germany,W,Silver +Montreal,1976,Handball,Handball,handball,"LELKES, Rozalia",Women,HUN,Hungary,W,Bronze +Montreal,1976,Handball,Handball,handball,"BRZOZOWSKI, Janusz",Men,POL,Poland,M,Bronze +Montreal,1976,Handball,Handball,handball,"ROST, Christina",Women,GDR,East Germany,W,Silver +Montreal,1976,Handball,Handball,handball,"KRAUSE, Roswitha",Women,GDR,East Germany,W,Silver +Montreal,1976,Handball,Handball,handball,"MELCER, Jerzy",Men,POL,Poland,M,Bronze +Montreal,1976,Handball,Handball,handball,"GMYREK, Jan",Men,POL,Poland,M,Bronze +Montreal,1976,Handball,Handball,handball,"BIRTALAN, Stefan",Men,ROU,Romania,M,Silver +Montreal,1976,Handball,Handball,handball,"KICSID, Gabriel",Men,ROU,Romania,M,Silver +Montreal,1976,Handball,Handball,handball,"SIEFERT, Silvia",Women,GDR,East Germany,W,Silver +Montreal,1976,Handball,Handball,handball,"CSIK, Klara",Women,HUN,Hungary,W,Bronze +Montreal,1976,Handball,Handball,handball,"STERBINSZKY, Amalia",Women,HUN,Hungary,W,Bronze +Montreal,1976,Handball,Handball,handball,"KALUZINSKI, Alfred",Men,POL,Poland,M,Bronze +Montreal,1976,Handball,Handball,handball,"KLIMOV, Yuri",Men,URS,Soviet Union,M,Gold +Montreal,1976,Handball,Handball,handball,"LAKI, Katalin",Women,HUN,Hungary,W,Bronze +Montreal,1976,Handball,Handball,handball,"DRAGANITA, Cezar",Men,ROU,Romania,M,Silver +Montreal,1976,Handball,Handball,handball,"ZAKHAROVA, Galina",Women,URS,Soviet Union,W,Gold +Montreal,1976,Handball,Handball,handball,"BEREZHNAYA-ODINOKOVA, Liubov",Women,URS,Soviet Union,W,Gold +Montreal,1976,Handball,Handball,handball,"ZOBER, Hannelore",Women,GDR,East Germany,W,Silver +Montreal,1976,Hockey,Hockey,hockey,"PARKIN, Arthur",Men,NZL,New Zealand,M,Gold +Montreal,1976,Hockey,Hockey,hockey,"WALSH, Terence",Men,AUS,Australia,M,Silver +Montreal,1976,Hockey,Hockey,hockey,"MARSHALL, Stephen",Men,AUS,Australia,M,Silver +Montreal,1976,Hockey,Hockey,hockey,"MAISTER, Selwyn Gerald",Men,NZL,New Zealand,M,Gold +Montreal,1976,Hockey,Hockey,hockey,"WILSON, Les",Men,NZL,New Zealand,M,Gold +Montreal,1976,Hockey,Hockey,hockey,"ACKERLEY, Paul",Men,NZL,New Zealand,M,Gold +Montreal,1976,Hockey,Hockey,hockey,"REID, Graham",Men,AUS,Australia,M,Silver +Montreal,1976,Hockey,Hockey,hockey,"BORREN, Thurman",Men,NZL,New Zealand,M,Gold +Montreal,1976,Hockey,Hockey,hockey,"CHAUDHRY, Arshad Ali",Men,PAK,Pakistan,M,Bronze +Montreal,1976,Hockey,Hockey,hockey,"MC INTYRE, Alan Lionel",Men,NZL,New Zealand,M,Gold +Montreal,1976,Hockey,Hockey,hockey,"IRVINE, James",Men,AUS,Australia,M,Silver +Montreal,1976,Hockey,Hockey,hockey,"SMITH, Trevor",Men,AUS,Australia,M,Silver +Montreal,1976,Hockey,Hockey,hockey,"BROWNING, Gregory",Men,AUS,Australia,M,Silver +Montreal,1976,Hockey,Hockey,hockey,"MUNAWAR, Uz-Zaman",Men,PAK,Pakistan,M,Bronze +Montreal,1976,Hockey,Hockey,hockey,"KHAN, Sami Ullah",Men,PAK,Pakistan,M,Bronze +Montreal,1976,Hockey,Hockey,hockey,"DANCER, Barry",Men,AUS,Australia,M,Silver +Montreal,1976,Hockey,Hockey,hockey,"HANEEF, Khan",Men,PAK,Pakistan,M,Bronze +Montreal,1976,Hockey,Hockey,hockey,"SALIM, Nazim",Men,PAK,Pakistan,M,Bronze +Montreal,1976,Hockey,Hockey,hockey,"MCLEOD, Neil",Men,NZL,New Zealand,M,Gold +Montreal,1976,Hockey,Hockey,hockey,"PROCTOR, Robert",Men,AUS,Australia,M,Silver +Montreal,1976,Hockey,Hockey,hockey,"BELL, David",Men,AUS,Australia,M,Silver +Montreal,1976,Hockey,Hockey,hockey,"MAISTER, Barry John",Men,NZL,New Zealand,M,Gold +Montreal,1976,Hockey,Hockey,hockey,"SHAIKH, Shahnaz",Men,PAK,Pakistan,M,Bronze +Montreal,1976,Hockey,Hockey,hockey,"ARSHAD, Mahmood",Men,PAK,Pakistan,M,Bronze +Montreal,1976,Hockey,Hockey,hockey,"RILEY, Ronald",Men,AUS,Australia,M,Silver +Montreal,1976,Hockey,Hockey,hockey,"MANNING, Trevor",Men,NZL,New Zealand,M,Gold +Montreal,1976,Hockey,Hockey,hockey,"ABDUL, Rashid III",Men,PAK,Pakistan,M,Bronze +Montreal,1976,Hockey,Hockey,hockey,"AKHTAR, Rasool",Men,PAK,Pakistan,M,Bronze +Montreal,1976,Hockey,Hockey,hockey,"SHERWANI, Saleem",Men,PAK,Pakistan,M,Bronze +Montreal,1976,Hockey,Hockey,hockey,"CHRISTENSEN, John Hansen",Men,NZL,New Zealand,M,Gold +Montreal,1976,Hockey,Hockey,hockey,"HAIGH, Robert",Men,AUS,Australia,M,Silver +Montreal,1976,Hockey,Hockey,hockey,"ISLAH, Ud Din",Men,PAK,Pakistan,M,Bronze +Montreal,1976,Hockey,Hockey,hockey,"PATEL, Ramesh",Men,NZL,New Zealand,M,Gold +Montreal,1976,Hockey,Hockey,hockey,"PATEL, Mohan",Men,NZL,New Zealand,M,Gold +Montreal,1976,Hockey,Hockey,hockey,"SYED, Mudassar Ashgar",Men,PAK,Pakistan,M,Bronze +Montreal,1976,Hockey,Hockey,hockey,"CHESNEY, Alan",Men,NZL,New Zealand,M,Gold +Montreal,1976,Hockey,Hockey,hockey,"DAMAN, Gregory",Men,NZL,New Zealand,M,Gold +Montreal,1976,Hockey,Hockey,hockey,"SYED, Iftikar Ahmed",Men,PAK,Pakistan,M,Bronze +Montreal,1976,Hockey,Hockey,hockey,"CHARLESWORTH, Richard",Men,AUS,Australia,M,Silver +Montreal,1976,Hockey,Hockey,hockey,"COOKE, Ian",Men,AUS,Australia,M,Silver +Montreal,1976,Hockey,Hockey,hockey,"MANZOOR, Hussain",Men,PAK,Pakistan,M,Bronze +Montreal,1976,Hockey,Hockey,hockey,"POOLE, Malcolm",Men,AUS,Australia,M,Silver +Montreal,1976,Hockey,Hockey,hockey,"MANZOOR, Hassan",Men,PAK,Pakistan,M,Bronze +Montreal,1976,Hockey,Hockey,hockey,"QAMAR, Zia",Men,PAK,Pakistan,M,Bronze +Montreal,1976,Hockey,Hockey,hockey,"INESON, Tony",Men,NZL,New Zealand,M,Gold +Montreal,1976,Hockey,Hockey,hockey,"HAMMOND, Wayne",Men,AUS,Australia,M,Silver +Montreal,1976,Hockey,Hockey,hockey,"GOLDER, Thomas Douglas",Men,AUS,Australia,M,Silver +Montreal,1976,Hockey,Hockey,hockey,"ARCHIBALD, Geoffrey",Men,NZL,New Zealand,M,Gold +Montreal,1976,Judo,Judo,70 - 80kg (middleweight),"DVOINIKOV, Valeri",Men,URS,Soviet Union,M,Silver +Montreal,1976,Judo,Judo,+ 93kg (heavyweight),"COAGE, Allen James",Men,USA,United States,M,Bronze +Montreal,1976,Judo,Judo,open category,"UEMURA, Haruki",Men,JPN,Japan,M,Gold +Montreal,1976,Judo,Judo,63 - 70kg (half-middleweight),"TALAJ, Marian",Men,POL,Poland,M,Bronze +Montreal,1976,Judo,Judo,80 - 93kg (half-heavyweight),"NINOMIYA, Kazuhiro",Men,JPN,Japan,M,Gold +Montreal,1976,Judo,Judo,open category,"CHOCHOSHVILI, Shota",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Judo,Judo,70 - 80kg (middleweight),"SONODA, Isamu",Men,JPN,Japan,M,Gold +Montreal,1976,Judo,Judo,open category,"REMFRY, Keith",Men,GBR,United Kingdom,M,Silver +Montreal,1976,Judo,Judo,- 63kg (lightweight),"RODRIGUEZ TORRES, Hector",Men,CUB,Cuba,M,Gold +Montreal,1976,Judo,Judo,+ 93kg (heavyweight),"ENDO, Sumio",Men,JPN,Japan,M,Bronze +Montreal,1976,Judo,Judo,open category,"CHO, Je-Aki",Men,KOR,"Korea, South",M,Bronze +Montreal,1976,Judo,Judo,63 - 70kg (half-middleweight),"KURAMOTO, Koji",Men,JPN,Japan,M,Silver +Montreal,1976,Judo,Judo,63 - 70kg (half-middleweight),"VIAL, Patrick",Men,FRA,France,M,Bronze +Montreal,1976,Judo,Judo,- 63kg (lightweight),"CHANG, Eun-Kyung",Men,KOR,"Korea, South",M,Silver +Montreal,1976,Judo,Judo,80 - 93kg (half-heavyweight),"RÖTHLISBERGER, Jürg",Men,SUI,Switzerland,M,Bronze +Montreal,1976,Judo,Judo,80 - 93kg (half-heavyweight),"STARBROOK, David Colin",Men,GBR,United Kingdom,M,Bronze +Montreal,1976,Judo,Judo,- 63kg (lightweight),"MARIANI, Felice",Men,ITA,Italy,M,Bronze +Montreal,1976,Judo,Judo,70 - 80kg (middleweight),"OBADOV, Slavko",Men,YUG,Yugoslavia,M,Bronze +Montreal,1976,Judo,Judo,+ 93kg (heavyweight),"NEUREUTHER, Günther",Men,FRG,West Germany,M,Silver +Montreal,1976,Judo,Judo,70 - 80kg (middleweight),"PARK, Young-Chul",Men,KOR,"Korea, South",M,Bronze +Montreal,1976,Judo,Judo,63 - 70kg (half-middleweight),"NEVZOROV, Vladimir",Men,URS,Soviet Union,M,Gold +Montreal,1976,Judo,Judo,+ 93kg (heavyweight),"NOVIKOV, Sergei",Men,URS,Soviet Union,M,Gold +Montreal,1976,Judo,Judo,- 63kg (lightweight),"TUNCSIK, Jozsef",Men,HUN,Hungary,M,Bronze +Montreal,1976,Judo,Judo,80 - 93kg (half-heavyweight),"KHARSHILADZE, Ramaz",Men,URS,Soviet Union,M,Silver +Montreal,1976,Modern Pentathlon,Modern Pentath.,Team competition,"ADAM, Jiri",Men,TCH,Czechoslovakia,M,Silver +Montreal,1976,Modern Pentathlon,Modern Pentath.,Individual competition,"LEDNEV, Pavel",Men,URS,Soviet Union,M,Silver +Montreal,1976,Modern Pentathlon,Modern Pentath.,Team competition,"FOX, Jeremy Robert",Men,GBR,United Kingdom,M,Gold +Montreal,1976,Modern Pentathlon,Modern Pentath.,Team competition,"KANCSAL, Tamas",Men,HUN,Hungary,M,Bronze +Montreal,1976,Modern Pentathlon,Modern Pentath.,Individual competition,"PYCIAK-PECIAK, Janusz",Men,POL,Poland,M,Gold +Montreal,1976,Modern Pentathlon,Modern Pentath.,Team competition,"PARKER, Adrian Philip",Men,GBR,United Kingdom,M,Gold +Montreal,1976,Modern Pentathlon,Modern Pentath.,Team competition,"STARNOVSKY, Bohumil",Men,TCH,Czechoslovakia,M,Silver +Montreal,1976,Modern Pentathlon,Modern Pentath.,Team competition,"SASICS, Szvetiszlav",Men,HUN,Hungary,M,Bronze +Montreal,1976,Modern Pentathlon,Modern Pentath.,Team competition,"MARACSKO, Tibor",Men,HUN,Hungary,M,Bronze +Montreal,1976,Modern Pentathlon,Modern Pentath.,Team competition,"BARTU, Jan",Men,TCH,Czechoslovakia,M,Silver +Montreal,1976,Modern Pentathlon,Modern Pentath.,Individual competition,"BARTU, Jan",Men,TCH,Czechoslovakia,M,Bronze +Montreal,1976,Modern Pentathlon,Modern Pentath.,Team competition,"NIGHTINGALE, Robert",Men,GBR,United Kingdom,M,Gold +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"LEHMANN, Helma",Women,GDR,East Germany,W,Gold +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"MATHESON, Hugh Patrick",Men,GBR,United Kingdom,M,Silver +Montreal,1976,Rowing,Rowing,quadruple sculls without coxswain (4x),"GÜLDENPFENNIG, Wolfgang",Men,GDR,East Germany,M,Gold +Montreal,1976,Rowing,Rowing,single sculls (1x),"DREIFKE, Joachim",Men,GDR,East Germany,M,Bronze +Montreal,1976,Rowing,Rowing,pair without coxswain (2-),"NOACK, Angelika",Women,GDR,East Germany,W,Silver +Montreal,1976,Rowing,Rowing,four-oared shell with coxswain (4-),"PASOKHA, Anna",Women,URS,Soviet Union,W,Bronze +Montreal,1976,Rowing,Rowing,four-oared shell with coxswain (4-),"SEVOSTYANOVA, Nadezhda",Women,URS,Soviet Union,W,Bronze +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"WILSON, Lindsay",Men,NZL,New Zealand,M,Bronze +Montreal,1976,Rowing,Rowing,quadruple sculls with coxswain (4x),"TUDORAN, Ioana",Women,ROU,Romania,W,Bronze +Montreal,1976,Rowing,Rowing,quadruple sculls with coxswain (4x),"LAU, Jutta",Women,GDR,East Germany,W,Gold +Montreal,1976,Rowing,Rowing,quadruple sculls without coxswain (4x),"YAKIMOV, Yuri",Men,URS,Soviet Union,M,Silver +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"PRUDÖHL, Karl-Heinz",Men,GDR,East Germany,M,Gold +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"COKER, Trevor",Men,NZL,New Zealand,M,Bronze +Montreal,1976,Rowing,Rowing,four-oared shell with coxswain (4-),"NIEHUSEN, Peter",Men,FRG,West Germany,M,Bronze +Montreal,1976,Rowing,Rowing,four without coxswain (4-),"KUZNETSOV, Nikolai",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Rowing,Rowing,quadruple sculls with coxswain (4x),"POLEY, Viola",Women,GDR,East Germany,W,Gold +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"PUGOVSKAYA, Olga",Women,URS,Soviet Union,W,Silver +Montreal,1976,Rowing,Rowing,four-oared shell with coxswain (4-),"KROKHINA, Lyudmila",Women,URS,Soviet Union,W,Bronze +Montreal,1976,Rowing,Rowing,four-oared shell with coxswain (4-),"YORDANOVA, Reni",Women,BUL,Bulgaria,W,Silver +Montreal,1976,Rowing,Rowing,single sculls (1x),"KARPPINEN, Pertti",Men,FIN,Finland,M,Gold +Montreal,1976,Rowing,Rowing,quadruple sculls without coxswain (4x),"DULEEV, Evgeni",Men,URS,Soviet Union,M,Silver +Montreal,1976,Rowing,Rowing,pair-oared shell with coxswain (2+),"LORENTSON, Yuri",Men,URS,Soviet Union,M,Silver +Montreal,1976,Rowing,Rowing,four-oared shell with coxswain (4-),"WENZEL, Hartmut",Men,FRG,West Germany,M,Bronze +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"KNETSCH-KÖPKE, Christiane",Women,GDR,East Germany,W,Gold +Montreal,1976,Rowing,Rowing,pair-oared shell with coxswain (2+),"JÄHRLING, Harald",Men,GDR,East Germany,M,Gold +Montreal,1976,Rowing,Rowing,quadruple sculls without coxswain (4x),"VOCHOSKA, Vaclav",Men,TCH,Czechoslovakia,M,Bronze +Montreal,1976,Rowing,Rowing,pair-oared shell with coxswain (2+),"SVOJANOVSKY, Pavel",Men,TCH,Czechoslovakia,M,Bronze +Montreal,1976,Rowing,Rowing,four-oared shell with coxswain (4-),"VASSEVA, Liliana",Women,BUL,Bulgaria,W,Silver +Montreal,1976,Rowing,Rowing,four-oared shell with coxswain (4-),"THOMAS, Johannes",Men,GDR,East Germany,M,Silver +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"SMALLBONE, Frederick John",Men,GBR,United Kingdom,M,Silver +Montreal,1976,Rowing,Rowing,single sculls (1x),"SCHEIBLICH, Christine",Women,GDR,East Germany,W,Gold +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"YALLOP, John C.",Men,GBR,United Kingdom,M,Silver +Montreal,1976,Rowing,Rowing,coxless pair (2-),"STAINES, Michael Laurence",Men,USA,United States,M,Silver +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"KLATT, Werner",Men,GDR,East Germany,M,Gold +Montreal,1976,Rowing,Rowing,single sculls (1x),"KOLBE, Peter-Michael",Men,FRG,West Germany,M,Silver +Montreal,1976,Rowing,Rowing,quadruple sculls with coxswain (4x),"MICSA-MACOVICIUC, Maria",Women,ROU,Romania,W,Bronze +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"CLARK, Richard James Scott",Men,GBR,United Kingdom,M,Silver +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"GUZENKO, Olga",Women,URS,Soviet Union,W,Silver +Montreal,1976,Rowing,Rowing,quadruple sculls with coxswain (4x),"WEIGELT-BUHR, Liane",Women,GDR,East Germany,W,Gold +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"MCCARTHY, Margaret Ann",Women,USA,United States,W,Bronze +Montreal,1976,Rowing,Rowing,quadruple sculls with coxswain (4x),"BRYUNINA, Mira",Women,URS,Soviet Union,W,Silver +Montreal,1976,Rowing,Rowing,quadruple sculls with coxswain (4x),"ZOBELT, Roswietha",Women,GDR,East Germany,W,Gold +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"EBERT, Henrietta",Women,GDR,East Germany,W,Gold +Montreal,1976,Rowing,Rowing,four-oared shell with coxswain (4-),"LOHS-KUHN, Gabriele",Women,GDR,East Germany,W,Gold +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"KARNATZ, Ulrich",Men,GDR,East Germany,M,Gold +Montreal,1976,Rowing,Rowing,quadruple sculls without coxswain (4x),"WOLFGRAMM, Michael",Men,GDR,East Germany,M,Gold +Montreal,1976,Rowing,Rowing,double sculls (2x),"YORDANOVA, Zdravka",Women,BUL,Bulgaria,W,Gold +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"DÖHN, Gottfried",Men,GDR,East Germany,M,Gold +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"CROOKS, Timothy John",Men,GBR,United Kingdom,M,Silver +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"MAXWELL, David Lindsay",Men,GBR,United Kingdom,M,Silver +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"KOSTULSKI, Roland",Men,GDR,East Germany,M,Gold +Montreal,1976,Rowing,Rowing,quadruple sculls with coxswain (4x),"ERMOLAEVA, Galina",Women,URS,Soviet Union,W,Silver +Montreal,1976,Rowing,Rowing,coxless pair (2-),"LANDVOIGT, Bernd",Men,GDR,East Germany,M,Gold +Montreal,1976,Rowing,Rowing,four-oared shell with coxswain (4-),"KUZNETSOV, Mikhail",Men,URS,Soviet Union,M,Gold +Montreal,1976,Rowing,Rowing,quadruple sculls with coxswain (4x),"BORCHMANN, Anke",Women,GDR,East Germany,W,Gold +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"AHRENHOLZ, Brigitte",Women,GDR,East Germany,W,Gold +Montreal,1976,Rowing,Rowing,pair-oared shell with coxswain (2+),"VEBR, Ludvik",Men,TCH,Czechoslovakia,M,Bronze +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"WILKE, Marina",Women,GDR,East Germany,W,Gold +Montreal,1976,Rowing,Rowing,quadruple sculls with coxswain (4x),"ALEXANDROVA-POPOVA, Larissa",Women,URS,Soviet Union,W,Silver +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"DIGMAN, Peter",Men,NZL,New Zealand,M,Bronze +Montreal,1976,Rowing,Rowing,single sculls (1x),"LIND, Joan Louise",Women,USA,United States,W,Silver +Montreal,1976,Rowing,Rowing,four without coxswain (4-),"BERGODD, Arne",Men,NOR,Norway,M,Silver +Montreal,1976,Rowing,Rowing,double sculls (2x),"BOESLER, Petra",Women,GDR,East Germany,W,Silver +Montreal,1976,Rowing,Rowing,double sculls (2x),"SCHMIED, Hans-Ulrich",Men,GDR,East Germany,M,Bronze +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"DICKIE, Simon Charles",Men,NZL,New Zealand,M,Bronze +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"WENDISCH, Dieter",Men,GDR,East Germany,M,Gold +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"KOZENKOVA, Klavdiya",Women,URS,Soviet Union,W,Silver +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"KOLKOVA, Olga",Women,URS,Soviet Union,W,Silver +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"MCLEAN, Alexander",Men,NZL,New Zealand,M,Bronze +Montreal,1976,Rowing,Rowing,quadruple sculls without coxswain (4x),"BUTKUS, Vitautas",Men,URS,Soviet Union,M,Silver +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"RODGER, David",Men,NZL,New Zealand,M,Bronze +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"DANIELOWSKI, Karl-Heinz",Men,GDR,East Germany,M,Gold +Montreal,1976,Rowing,Rowing,four-oared shell with coxswain (4-),"GUROVA, Ginka",Women,BUL,Bulgaria,W,Silver +Montreal,1976,Rowing,Rowing,four without coxswain (4-),"SEMMLER, Stefan",Men,GDR,East Germany,M,Gold +Montreal,1976,Rowing,Rowing,four-oared shell with coxswain (4-),"KUBAIL, Ralph",Men,FRG,West Germany,M,Bronze +Montreal,1976,Rowing,Rowing,four without coxswain (4-),"GASAN-DZHALALOV, Anushavan",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Rowing,Rowing,coxless pair (2-),"COFFEY, Calvin Thomas",Men,USA,United States,M,Silver +Montreal,1976,Rowing,Rowing,double sculls (2x),"KAMINSKAITE, Leonora",Women,URS,Soviet Union,W,Bronze +Montreal,1976,Rowing,Rowing,four without coxswain (4-),"MAGER, Wolfgang",Men,GDR,East Germany,M,Gold +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"BAUMGART, Bernd",Men,GDR,East Germany,M,Gold +Montreal,1976,Rowing,Rowing,pair without coxswain (2-),"GRUITCHEVA-KUBATOVA, Stoyanka",Women,BUL,Bulgaria,W,Gold +Montreal,1976,Rowing,Rowing,quadruple sculls without coxswain (4x),"HELLEBRAND, Jaroslav",Men,TCH,Czechoslovakia,M,Bronze +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"BROWN, Carol Page",Women,USA,United States,W,Bronze +Montreal,1976,Rowing,Rowing,four-oared shell with coxswain (4-),"METZE, Karin",Women,GDR,East Germany,W,Gold +Montreal,1976,Rowing,Rowing,coxless pair (2-),"STRAUSS, Thomas",Men,FRG,West Germany,M,Bronze +Montreal,1976,Rowing,Rowing,pair without coxswain (2-),"EINÖDER-STRAUBE, Thea",Women,FRG,West Germany,W,Bronze +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"GORETZKI, Viola",Women,GDR,East Germany,W,Gold +Montreal,1976,Rowing,Rowing,double sculls (2x),"JAHN, Sabine",Women,GDR,East Germany,W,Silver +Montreal,1976,Rowing,Rowing,quadruple sculls without coxswain (4x),"PECKA, Zdenek",Men,TCH,Czechoslovakia,M,Bronze +Montreal,1976,Rowing,Rowing,four-oared shell with coxswain (4-),"SCHULZ, Andreas",Men,GDR,East Germany,M,Silver +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"EARL, Athol",Men,NZL,New Zealand,M,Bronze +Montreal,1976,Rowing,Rowing,four-oared shell with coxswain (4-),"KRYLOVA, Lidiya",Women,URS,Soviet Union,W,Bronze +Montreal,1976,Rowing,Rowing,four-oared shell with coxswain (4-),"SCHWEDE, Bianka",Women,GDR,East Germany,W,Gold +Montreal,1976,Rowing,Rowing,pair without coxswain (2-),"ECKBAUER-BAUMANN, Edith",Women,FRG,West Germany,W,Bronze +Montreal,1976,Rowing,Rowing,quadruple sculls with coxswain (4x),"CHERNYSHOVA, Nadezhda",Women,URS,Soviet Union,W,Silver +Montreal,1976,Rowing,Rowing,four without coxswain (4-),"NAFSTAD, Ole Sverre",Men,NOR,Norway,M,Silver +Montreal,1976,Rowing,Rowing,quadruple sculls with coxswain (4x),"LAZAR, Elisabeta",Women,ROU,Romania,W,Bronze +Montreal,1976,Rowing,Rowing,four-oared shell with coxswain (4-),"LUKYANOV, Aleksandr",Men,URS,Soviet Union,M,Gold +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"GREIG, Marion",Women,USA,United States,W,Bronze +Montreal,1976,Rowing,Rowing,pair-oared shell with coxswain (2+),"ULRICH, Friedrich-Wilhelm",Men,GDR,East Germany,M,Gold +Montreal,1976,Rowing,Rowing,pair without coxswain (2-),"DÄHNE, Sabine",Women,GDR,East Germany,W,Silver +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"ZUBKO, Elena",Women,URS,Soviet Union,W,Silver +Montreal,1976,Rowing,Rowing,pair without coxswain (2-),"KELBETCHEVA-BARBULOVA, Siika",Women,BUL,Bulgaria,W,Gold +Montreal,1976,Rowing,Rowing,four-oared shell with coxswain (4-),"DIESSNER, Walter",Men,GDR,East Germany,M,Silver +Montreal,1976,Rowing,Rowing,four-oared shell with coxswain (4-),"FRICKE, Siegfried",Men,FRG,West Germany,M,Bronze +Montreal,1976,Rowing,Rowing,double sculls (2x),"OTZETOVA, Svetla",Women,BUL,Bulgaria,W,Gold +Montreal,1976,Rowing,Rowing,four without coxswain (4-),"DOLININ, Valeri",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Rowing,Rowing,four-oared shell with coxswain (4-),"HESS, Sabine",Women,GDR,East Germany,W,Gold +Montreal,1976,Rowing,Rowing,four-oared shell with coxswain (4-),"KLEPIKOV, Aleksandr",Men,URS,Soviet Union,M,Gold +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"SWEENEY, Patrick John",Men,GBR,United Kingdom,M,Silver +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"KALLIES, Monika",Women,GDR,East Germany,W,Gold +Montreal,1976,Rowing,Rowing,four-oared shell with coxswain (4-),"MODEVA, Mariika",Women,BUL,Bulgaria,W,Silver +Montreal,1976,Rowing,Rowing,four without coxswain (4-),"BRIETZKE, Siegfried",Men,GDR,East Germany,M,Gold +Montreal,1976,Rowing,Rowing,four-oared shell with coxswain (4-),"MISHENINA, Galina",Women,URS,Soviet Union,W,Bronze +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"GRAVES, Carolyn Brand",Women,USA,United States,W,Bronze +Montreal,1976,Rowing,Rowing,coxless pair (2-),"LANDVOIGT, Jörg",Men,GDR,East Germany,M,Gold +Montreal,1976,Rowing,Rowing,four without coxswain (4-),"DECKER, Andreas",Men,GDR,East Germany,M,Gold +Montreal,1976,Rowing,Rowing,double sculls (2x),"BERTOW, Jürgen",Men,GDR,East Germany,M,Bronze +Montreal,1976,Rowing,Rowing,quadruple sculls without coxswain (4x),"LAZDENIEKS, Aivar",Men,URS,Soviet Union,M,Silver +Montreal,1976,Rowing,Rowing,double sculls (2x),"HART, Michael John",Men,GBR,United Kingdom,M,Silver +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"RICHTER, Ilona",Women,GDR,East Germany,W,Gold +Montreal,1976,Rowing,Rowing,coxless pair (2-),"VANROYE, Peter",Men,FRG,West Germany,M,Bronze +Montreal,1976,Rowing,Rowing,four-oared shell with coxswain (4-),"KUNZE, Rüdiger",Men,GDR,East Germany,M,Silver +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"RICKETSON, Gail Susan",Women,USA,United States,W,Bronze +Montreal,1976,Rowing,Rowing,double sculls (2x),"BAILLIEU, Christopher",Men,GBR,United Kingdom,M,Silver +Montreal,1976,Rowing,Rowing,quadruple sculls with coxswain (4x),"AFRASILOAIA, Felicia",Women,ROU,Romania,W,Bronze +Montreal,1976,Rowing,Rowing,pair-oared shell with coxswain (2+),"SHURKALOV, Yuri",Men,URS,Soviet Union,M,Silver +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"HURT, Anthony",Men,NZL,New Zealand,M,Bronze +Montreal,1976,Rowing,Rowing,four without coxswain (4-),"TVETER, Finn Ivar",Men,NOR,Norway,M,Silver +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"ROBERTSON, Leonard David",Men,GBR,United Kingdom,M,Silver +Montreal,1976,Rowing,Rowing,four without coxswain (4-),"ARNEMANN, Raul",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Rowing,Rowing,four-oared shell with coxswain (4-),"FÄRBER, Hans-Johann",Men,FRG,West Germany,M,Bronze +Montreal,1976,Rowing,Rowing,quadruple sculls without coxswain (4x),"REICHE, Rüdiger",Men,GDR,East Germany,M,Gold +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"LESTER, Richard C.",Men,GBR,United Kingdom,M,Silver +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"MÜLLER, Irina",Women,GDR,East Germany,W,Gold +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"ROSHCHINA, Nadezhda",Women,URS,Soviet Union,W,Silver +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"ROZGON, Nadezhda",Women,URS,Soviet Union,W,Silver +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"SILLIMAN, Lynn",Women,USA,United States,W,Bronze +Montreal,1976,Rowing,Rowing,pair-oared shell with coxswain (2+),"SVOJANOVSKY, Oldrich",Men,TCH,Czechoslovakia,M,Bronze +Montreal,1976,Rowing,Rowing,double sculls (2x),"HANSEN, Frank",Men,NOR,Norway,M,Gold +Montreal,1976,Rowing,Rowing,pair-oared shell with coxswain (2+),"SPOHR, Georg",Men,GDR,East Germany,M,Gold +Montreal,1976,Rowing,Rowing,four-oared shell with coxswain (4-),"KURTH, Andrea",Women,GDR,East Germany,W,Gold +Montreal,1976,Rowing,Rowing,four-oared shell with coxswain (4-),"ESHINOV, Vladimir",Men,URS,Soviet Union,M,Gold +Montreal,1976,Rowing,Rowing,quadruple sculls without coxswain (4x),"LACINA, Vladek",Men,TCH,Czechoslovakia,M,Bronze +Montreal,1976,Rowing,Rowing,four-oared shell with coxswain (4-),"GEORGIEVA, Kapka",Women,BUL,Bulgaria,W,Silver +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"WARNER, Anne Elizabeth",Women,USA,United States,W,Bronze +Montreal,1976,Rowing,Rowing,quadruple sculls without coxswain (4x),"BUSSERT, Karl-Heinz",Men,GDR,East Germany,M,Gold +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"ZOCH, Jacqueline Jean",Women,USA,United States,W,Bronze +Montreal,1976,Rowing,Rowing,double sculls (2x),"HANSEN, Alf John",Men,NOR,Norway,M,Gold +Montreal,1976,Rowing,Rowing,quadruple sculls with coxswain (4x),"KONDRASHINA, Anna",Women,URS,Soviet Union,W,Silver +Montreal,1976,Rowing,Rowing,double sculls (2x),"RAMOSHKENE, Genovate",Women,URS,Soviet Union,W,Bronze +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"LÜCK, Hans-Joachim",Men,GDR,East Germany,M,Gold +Montreal,1976,Rowing,Rowing,four-oared shell with coxswain (4-),"DIESSNER, Ullrich",Men,GDR,East Germany,M,Silver +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"DEFRANTZ, Anita Luceete",Women,USA,United States,W,Bronze +Montreal,1976,Rowing,Rowing,pair-oared shell with coxswain (2+),"BEKHTEREV, Dmitri",Men,URS,Soviet Union,M,Silver +Montreal,1976,Rowing,Rowing,four-oared shell with coxswain (4-),"IVANOV, Nikolai",Men,URS,Soviet Union,M,Gold +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"SUTHERLAND, Ivan",Men,NZL,New Zealand,M,Bronze +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"TALALAEVA, Lyubov",Women,URS,Soviet Union,W,Silver +Montreal,1976,Rowing,Rowing,single sculls (1x),"ANTONOVA, Elena",Women,URS,Soviet Union,W,Bronze +Montreal,1976,Rowing,Rowing,eight with coxswain (8+),"TARAKANOVA, Nelli",Women,URS,Soviet Union,W,Silver +Montreal,1976,Rowing,Rowing,four without coxswain (4-),"ANDREASSEN, Rolf",Men,NOR,Norway,M,Silver +Montreal,1976,Rowing,Rowing,quadruple sculls with coxswain (4x),"GIURCA, Elena",Women,ROU,Romania,W,Bronze +Montreal,1976,Sailing,Sailing,fleet/match race keelboat open (Soling),"BELOW, Dieter",Men,GDR,East Germany,X,Bronze +Montreal,1976,Sailing,Sailing,tempest,"AKIMENKO, Vladislav",Men,URS,Soviet Union,X,Silver +Montreal,1976,Sailing,Sailing,flying dutchman,"BROOKE-HOUGHTON, Julian",Men,GBR,United Kingdom,X,Silver +Montreal,1976,Sailing,Sailing,470 - Two Person Dinghy,"RUFF, Ian",Men,AUS,Australia,M,Bronze +Montreal,1976,Sailing,Sailing,tempest,"ALBRECHTSON, John",Men,SWE,Sweden,X,Gold +Montreal,1976,Sailing,Sailing,470 - Two Person Dinghy,"BODE, Harro",Men,FRG,West Germany,M,Gold +Montreal,1976,Sailing,Sailing,fleet/match race keelboat open (Soling),"ENGELHARDT, Olaf",Men,GDR,East Germany,X,Bronze +Montreal,1976,Sailing,Sailing,fleet/match race keelboat open (Soling),"GLASGOW, Walter Merrill, Jr.",Men,USA,United States,X,Silver +Montreal,1976,Sailing,Sailing,tempest,"FINDLAY, Conrad Francis",Men,USA,United States,X,Bronze +Montreal,1976,Sailing,Sailing,fleet/match race keelboat open (Soling),"BANDOLOWSKI, Valdemar",Men,DEN,Denmark,X,Gold +Montreal,1976,Sailing,Sailing,470 - Two Person Dinghy,"MILLET SOLER, Pedro Luis",Men,ESP,Spain,M,Silver +Montreal,1976,Sailing,Sailing,fleet/match race keelboat open (Soling),"ZACHRIES, Michael",Men,GDR,East Germany,X,Bronze +Montreal,1976,Sailing,Sailing,flying dutchman,"DIESCH, Eckart",Men,FRG,West Germany,X,Gold +Montreal,1976,Sailing,Sailing,Tornado - Multihull,"OSBORN, John",Men,GBR,United Kingdom,X,Gold +Montreal,1976,Sailing,Sailing,Tornado - Multihull,"SPENGLER, Jörg",Men,FRG,West Germany,X,Bronze +Montreal,1976,Sailing,Sailing,single-handed dinghy (Finn),"BALASHOV, Andrei",Men,URS,Soviet Union,M,Silver +Montreal,1976,Sailing,Sailing,single-handed dinghy (Finn),"SCHÜMANN, Jochen",Men,GDR,East Germany,M,Gold +Montreal,1976,Sailing,Sailing,flying dutchman,"DIESCH, Jörg",Men,FRG,West Germany,X,Gold +Montreal,1976,Sailing,Sailing,tempest,"CONNER, Dennis Walter",Men,USA,United States,X,Bronze +Montreal,1976,Sailing,Sailing,Tornado - Multihull,"SCHMALL, Jörg",Men,FRG,West Germany,X,Bronze +Montreal,1976,Sailing,Sailing,flying dutchman,"CONRAD, Reinaldo",Men,BRA,Brazil,X,Bronze +Montreal,1976,Sailing,Sailing,single-handed dinghy (Finn),"BERTRAND, John Edwin",Men,AUS,Australia,M,Bronze +Montreal,1976,Sailing,Sailing,Tornado - Multihull,"ROTHWELL, Michael Jon",Men,USA,United States,X,Silver +Montreal,1976,Sailing,Sailing,fleet/match race keelboat open (Soling),"HOEPFNER, Richard H.",Men,USA,United States,X,Silver +Montreal,1976,Sailing,Sailing,flying dutchman,"FICKER, Peter",Men,BRA,Brazil,X,Bronze +Montreal,1976,Sailing,Sailing,Tornado - Multihull,"MCFAULL, David Rockwell",Men,USA,United States,X,Silver +Montreal,1976,Sailing,Sailing,470 - Two Person Dinghy,"HÜBNER, Frank",Men,FRG,West Germany,M,Gold +Montreal,1976,Sailing,Sailing,Tornado - Multihull,"WHITE, Reginald J.",Men,GBR,United Kingdom,X,Gold +Montreal,1976,Sailing,Sailing,fleet/match race keelboat open (Soling),"JENSEN, Poul Richard Hoj",Men,DEN,Denmark,X,Gold +Montreal,1976,Sailing,Sailing,fleet/match race keelboat open (Soling),"HANSEN, Erik Hermann",Men,DEN,Denmark,X,Gold +Montreal,1976,Sailing,Sailing,flying dutchman,"PATTISSON, Rodney Stuart",Men,GBR,United Kingdom,X,Silver +Montreal,1976,Sailing,Sailing,470 - Two Person Dinghy,"GOROSTEGUI CEBALLOS, Antonio",Men,ESP,Spain,M,Silver +Montreal,1976,Sailing,Sailing,tempest,"HANSSON, Ingvar",Men,SWE,Sweden,X,Gold +Montreal,1976,Sailing,Sailing,fleet/match race keelboat open (Soling),"KOLIUS, John Waldrip",Men,USA,United States,X,Silver +Montreal,1976,Sailing,Sailing,tempest,"MANKIN, Valentyn",Men,URS,Soviet Union,X,Silver +Montreal,1976,Sailing,Sailing,470 - Two Person Dinghy,"BROWN, Ian",Men,AUS,Australia,M,Bronze +Montreal,1976,Shooting,Shooting,50m running target (30+30 shots),"GRESZKIEWICZ, Jerzy",Men,POL,Poland,X,Bronze +Montreal,1976,Shooting,Shooting,trap (125 targets),"BALDI, Ubaldesco",Men,ITA,Italy,X,Bronze +Montreal,1976,Shooting,Shooting,50m rifle 3 positions (3x40 shots),"SEIBOLD, Werner",Men,FRG,West Germany,X,Bronze +Montreal,1976,Shooting,Shooting,skeet (125 targets),"SWINKELS, Eric",Men,NED,Netherlands,X,Silver +Montreal,1976,Shooting,Shooting,50m pistol (60 shots),"VOLLMAR, Harald",Men,GDR,East Germany,X,Silver +Montreal,1976,Shooting,Shooting,50m running target (30+30 shots),"GAZOV, Aleksandr",Men,URS,Soviet Union,X,Gold +Montreal,1976,Shooting,Shooting,50m pistol (60 shots),"DOLLINGER, Rudolf",Men,AUT,Austria,X,Bronze +Montreal,1976,Shooting,Shooting,trap (125 targets),"HALDEMAN, Donald Stanley",Men,USA,United States,X,Gold +Montreal,1976,Shooting,Shooting,skeet (125 targets),"PANACEK, Josef",Men,TCH,Czechoslovakia,X,Gold +Montreal,1976,Shooting,Shooting,50m rifle prone (60 shots),"SMIESZEK, Karlheinz",Men,FRG,West Germany,X,Gold +Montreal,1976,Shooting,Shooting,50m pistol (60 shots),"POTTECK, Uwe",Men,GDR,East Germany,X,Gold +Montreal,1976,Shooting,Shooting,trap (125 targets),"MARQUES, Armando Da Silva",Men,POR,Portugal,X,Silver +Montreal,1976,Shooting,Shooting,50m rifle 3 positions (3x40 shots),"THOMPSON-MURDOCK, Margaret",Women,USA,United States,X,Silver +Montreal,1976,Shooting,Shooting,50m running target (30+30 shots),"KEDYAROV, Aleksandr",Men,URS,Soviet Union,X,Silver +Montreal,1976,Shooting,Shooting,skeet (125 targets),"GAWLIKOWSKI, Wieslaw",Men,POL,Poland,X,Bronze +Montreal,1976,Shooting,Shooting,25m rapid fire pistol (60 shots),"KLAAR, Norbert",Men,GDR,East Germany,X,Gold +Montreal,1976,Shooting,Shooting,25m rapid fire pistol (60 shots),"FERRARIS, Roberto",Men,ITA,Italy,X,Bronze +Montreal,1976,Shooting,Shooting,50m rifle prone (60 shots),"LIND, Ulrich",Men,FRG,West Germany,X,Silver +Montreal,1976,Shooting,Shooting,50m rifle prone (60 shots),"LUSHCHIKOV, Gennadi",Men,URS,Soviet Union,X,Bronze +Montreal,1976,Shooting,Shooting,50m rifle 3 positions (3x40 shots),"BASSHAM, Lance Robert",Men,USA,United States,X,Gold +Montreal,1976,Shooting,Shooting,25m rapid fire pistol (60 shots),"WIEFEL, Jürgen",Men,GDR,East Germany,X,Silver +Montreal,1976,Volleyball,Volleyball,volleyball,"FIGUEREDO RICARDO, Alfredo",Men,CUB,Cuba,M,Bronze +Montreal,1976,Volleyball,Volleyball,volleyball,"STEFANSKI, Wlodzimierz",Men,POL,Poland,M,Gold +Montreal,1976,Volleyball,Volleyball,volleyball,"YOKOYAMA, Juri",Women,JPN,Japan,W,Gold +Montreal,1976,Volleyball,Volleyball,volleyball,"PEREZ VENTO MACHADO, Jorge",Men,CUB,Cuba,M,Bronze +Montreal,1976,Volleyball,Volleyball,volleyball,"SAVIGNE SAVIGNE, Jesus",Men,CUB,Cuba,M,Bronze +Montreal,1976,Volleyball,Volleyball,volleyball,"RYBACZEWSKI, Miroslaw",Men,POL,Poland,M,Gold +Montreal,1976,Volleyball,Volleyball,volleyball,"BAIK, Myung-Sun",Women,KOR,"Korea, South",W,Bronze +Montreal,1976,Volleyball,Volleyball,volleyball,"MURADYAN, Nina",Women,URS,Soviet Union,W,Silver +Montreal,1976,Volleyball,Volleyball,volleyball,"CHERNYSHOVA, Liudmila",Women,URS,Soviet Union,W,Silver +Montreal,1976,Volleyball,Volleyball,volleyball,"GARCIA CAMPOS, Victor",Men,CUB,Cuba,M,Bronze +Montreal,1976,Volleyball,Volleyball,volleyball,"BOSEK, Ryszard",Men,POL,Poland,M,Gold +Montreal,1976,Volleyball,Volleyball,volleyball,"JO, Hae-Chung",Women,KOR,"Korea, South",W,Bronze +Montreal,1976,Volleyball,Volleyball,volleyball,"LASKO, Lech",Men,POL,Poland,M,Gold +Montreal,1976,Volleyball,Volleyball,volleyball,"YANO, Hiromi",Women,JPN,Japan,W,Gold +Montreal,1976,Volleyball,Volleyball,volleyball,"ARAKIDA, Yuko",Women,JPN,Japan,W,Gold +Montreal,1976,Volleyball,Volleyball,volleyball,"RUDOVSKAYA, Lyubov",Women,URS,Soviet Union,W,Silver +Montreal,1976,Volleyball,Volleyball,volleyball,"YOSHIDA, Mariko",Women,JPN,Japan,W,Gold +Montreal,1976,Volleyball,Volleyball,volleyball,"KARBARZ, Marek",Men,POL,Poland,M,Gold +Montreal,1976,Volleyball,Volleyball,volleyball,"OKAMOTO, Mariko",Women,JPN,Japan,W,Gold +Montreal,1976,Volleyball,Volleyball,volleyball,"BYON, Kyung-Ja",Women,KOR,"Korea, South",W,Bronze +Montreal,1976,Volleyball,Volleyball,volleyball,"JUNG, Soon-Ok",Women,KOR,"Korea, South",W,Bronze +Montreal,1976,Volleyball,Volleyball,volleyball,"YU, Kyung-Hwa",Women,KOR,"Korea, South",W,Bronze +Montreal,1976,Volleyball,Volleyball,volleyball,"GAWLOWSKI, Wieslaw",Men,POL,Poland,M,Gold +Montreal,1976,Volleyball,Volleyball,volleyball,"POLISHCHUK, Anatoli",Men,URS,Soviet Union,M,Silver +Montreal,1976,Volleyball,Volleyball,volleyball,"MATSUDA, Noriko",Women,JPN,Japan,W,Gold +Montreal,1976,Volleyball,Volleyball,volleyball,"RODRIGUEZ AGUIRRE, Antonio",Men,CUB,Cuba,M,Bronze +Montreal,1976,Volleyball,Volleyball,volleyball,"YU, Jung-Hyae",Women,KOR,"Korea, South",W,Bronze +Montreal,1976,Volleyball,Volleyball,volleyball,"MA, Kum-Ja",Women,KOR,"Korea, South",W,Bronze +Montreal,1976,Volleyball,Volleyball,volleyball,"SARMIENTOS BIOS, Victoriano",Men,CUB,Cuba,M,Bronze +Montreal,1976,Volleyball,Volleyball,volleyball,"LEE, Soon-Bok",Women,KOR,"Korea, South",W,Bronze +Montreal,1976,Volleyball,Volleyball,volleyball,"MARTINEZ HERNANDEZ, Ernesto",Men,CUB,Cuba,M,Bronze +Montreal,1976,Volleyball,Volleyball,volleyball,"MOLIBOGA, Oleg",Men,URS,Soviet Union,M,Silver +Montreal,1976,Volleyball,Volleyball,volleyball,"YUSOVA, Zoya",Women,URS,Soviet Union,W,Silver +Montreal,1976,Volleyball,Volleyball,volleyball,"KUSHNIR, Natalya",Women,URS,Soviet Union,W,Silver +Montreal,1976,Volleyball,Volleyball,volleyball,"BERGEN, Larisa",Women,URS,Soviet Union,W,Silver +Montreal,1976,Volleyball,Volleyball,volleyball,"SAVIN, Aleksandr",Men,URS,Soviet Union,M,Silver +Montreal,1976,Volleyball,Volleyball,volleyball,"IIDA, Takako",Women,JPN,Japan,W,Gold +Montreal,1976,Volleyball,Volleyball,volleyball,"KATO, Kiyomi",Women,JPN,Japan,W,Gold +Montreal,1976,Volleyball,Volleyball,volleyball,"ULANOV, Vladimir",Men,URS,Soviet Union,M,Silver +Montreal,1976,Volleyball,Volleyball,volleyball,"LUBIEJEWSKI, Zbigniew",Men,POL,Poland,M,Gold +Montreal,1976,Volleyball,Volleyball,volleyball,"STARUNSKY, Yuri",Men,URS,Soviet Union,M,Silver +Montreal,1976,Volleyball,Volleyball,volleyball,"CHERNYSHEV, Vladimir",Men,URS,Soviet Union,M,Silver +Montreal,1976,Volleyball,Volleyball,volleyball,"OSADCHAYA, Liliya",Women,URS,Soviet Union,W,Silver +Montreal,1976,Volleyball,Volleyball,volleyball,"YOON, Young-Nae",Women,KOR,"Korea, South",W,Bronze +Montreal,1976,Volleyball,Volleyball,volleyball,"SHCHETININA, Lyudmila",Women,URS,Soviet Union,W,Silver +Montreal,1976,Volleyball,Volleyball,volleyball,"SHIRAI, Takako",Women,JPN,Japan,W,Gold +Montreal,1976,Volleyball,Volleyball,volleyball,"LAPERA SOTOLONGO, Diego",Men,CUB,Cuba,M,Bronze +Montreal,1976,Volleyball,Volleyball,volleyball,"MARTINEZ CORDERO, Lorenzo",Men,CUB,Cuba,M,Bronze +Montreal,1976,Volleyball,Volleyball,volleyball,"CHULAK, Yefim",Men,URS,Soviet Union,M,Silver +Montreal,1976,Volleyball,Volleyball,volleyball,"SALAS PEREZ, Carlos",Men,CUB,Cuba,M,Bronze +Montreal,1976,Volleyball,Volleyball,volleyball,"CHANG, Hee-Sook",Women,KOR,"Korea, South",W,Bronze +Montreal,1976,Volleyball,Volleyball,volleyball,"MAEDA, Echiko",Women,JPN,Japan,W,Gold +Montreal,1976,Volleyball,Volleyball,volleyball,"DOROKHOV, Vladimir",Men,URS,Soviet Union,M,Silver +Montreal,1976,Volleyball,Volleyball,volleyball,"KANESAKA, Katsuko",Women,JPN,Japan,W,Gold +Montreal,1976,Volleyball,Volleyball,volleyball,"VILCHES MORE, Raul",Men,CUB,Cuba,M,Bronze +Montreal,1976,Volleyball,Volleyball,volleyball,"SELIVANOV, Pavel",Men,URS,Soviet Union,M,Silver +Montreal,1976,Volleyball,Volleyball,volleyball,"ERMILOV, Aleksandr",Men,URS,Soviet Union,M,Silver +Montreal,1976,Volleyball,Volleyball,volleyball,"LEE, Soon-Ok",Women,KOR,"Korea, South",W,Bronze +Montreal,1976,Volleyball,Volleyball,volleyball,"WOJTOWICZ, Tomasz",Men,POL,Poland,M,Gold +Montreal,1976,Volleyball,Volleyball,volleyball,"KONDRA, Vladimir",Men,URS,Soviet Union,M,Silver +Montreal,1976,Volleyball,Volleyball,volleyball,"SADALSKI, Wlodzimierz",Men,POL,Poland,M,Gold +Montreal,1976,Volleyball,Volleyball,volleyball,"BEBEL, Bronislaw",Men,POL,Poland,M,Gold +Montreal,1976,Volleyball,Volleyball,volleyball,"ZARZYCKI, Zbigniew",Men,POL,Poland,M,Gold +Montreal,1976,Volleyball,Volleyball,volleyball,"PARK, Mi-Kum",Women,KOR,"Korea, South",W,Bronze +Montreal,1976,Volleyball,Volleyball,volleyball,"TAKAYANAGI, Shoko",Women,JPN,Japan,W,Gold +Montreal,1976,Volleyball,Volleyball,volleyball,"ZAITSEV, Viacheslav",Men,URS,Soviet Union,M,Silver +Montreal,1976,Volleyball,Volleyball,volleyball,"SKOREK, Edward",Men,POL,Poland,M,Gold +Montreal,1976,Volleyball,Volleyball,volleyball,"SMOLEEVA, Nina",Women,URS,Soviet Union,W,Silver +Montreal,1976,Volleyball,Volleyball,volleyball,"MARSHALL STEWARD, Leonel",Men,CUB,Cuba,M,Bronze +Montreal,1976,Volleyball,Volleyball,volleyball,"KOZAKOVA, Olga",Women,URS,Soviet Union,W,Silver +Montreal,1976,Volleyball,Volleyball,volleyball,"ROSTOVA, Anna",Women,URS,Soviet Union,W,Silver +Montreal,1976,Volleyball,Volleyball,volleyball,"RYSKAL, Inna",Women,URS,Soviet Union,W,Silver +Montreal,1976,Weightlifting,Weightlifting,"82.5 - 90kg, total (middle-heavyweight)","JAMES, Lee Roy, Jr.",Men,USA,United States,M,Silver +Montreal,1976,Weightlifting,Weightlifting,"+ 110kg, total (super heavyweight)","ALEKSEYEV, Vasily",Men,URS,Soviet Union,M,Gold +Montreal,1976,Weightlifting,Weightlifting,"+ 110kg, total (super heavyweight)","BONK, Gerd",Men,GDR,East Germany,M,Silver +Montreal,1976,Weightlifting,Weightlifting,"75 - 82.5kg, total (light-heavyweight)","BACZAKO, Peter",Men,HUN,Hungary,M,Bronze +Montreal,1976,Weightlifting,Weightlifting,"75 - 82.5kg, total (light-heavyweight)","STOITCHEV, Trendafil",Men,BUL,Bulgaria,M,Silver +Montreal,1976,Weightlifting,Weightlifting,"+ 110kg, total (super heavyweight)","LOSCH, Helmut",Men,GDR,East Germany,M,Bronze +Montreal,1976,Weightlifting,Weightlifting,"- 56kg, total (bantamweight)","CZIURA, Grzegorz",Men,POL,Poland,M,Silver +Montreal,1976,Weightlifting,Weightlifting,"60 - 67.5kg, total (lightweight)","CZARNECKI, Kazimierz",Men,POL,Poland,M,Bronze +Montreal,1976,Weightlifting,Weightlifting,"67.5 - 75kg, total (middleweight)","MITKOV, Yordan",Men,BUL,Bulgaria,M,Gold +Montreal,1976,Weightlifting,Weightlifting,"75 - 82.5kg, total (light-heavyweight)","SHARY, Valeri",Men,URS,Soviet Union,M,Gold +Montreal,1976,Weightlifting,Weightlifting,"- 52kg, total (flyweight)","KÖSZEGI, György",Men,HUN,Hungary,M,Silver +Montreal,1976,Weightlifting,Weightlifting,"- 52kg, total (flyweight)","VORONIN, Aleksandr",Men,URS,Soviet Union,M,Gold +Montreal,1976,Weightlifting,Weightlifting,"56 - 60kg, total (featherweight)","HIRAI, Kazumasa",Men,JPN,Japan,M,Bronze +Montreal,1976,Weightlifting,Weightlifting,"82.5 - 90kg, total (middle-heavyweight)","RIGERT, David",Men,URS,Soviet Union,M,Gold +Montreal,1976,Weightlifting,Weightlifting,"91 - 110kg, total (heavyweight)","ZAITSEV, Yuri",Men,URS,Soviet Union,M,Gold +Montreal,1976,Weightlifting,Weightlifting,"60 - 67.5kg, total (lightweight)","KOROL, Pyotr",Men,URS,Soviet Union,M,Gold +Montreal,1976,Weightlifting,Weightlifting,"67.5 - 75kg, total (middleweight)","WENZEL, Peter",Men,GDR,East Germany,M,Bronze +Montreal,1976,Weightlifting,Weightlifting,"- 56kg, total (bantamweight)","NURIKIAN, Norair",Men,BUL,Bulgaria,M,Gold +Montreal,1976,Weightlifting,Weightlifting,"- 56kg, total (bantamweight)","ANDO, Kenkichi",Men,JPN,Japan,M,Bronze +Montreal,1976,Weightlifting,Weightlifting,"56 - 60kg, total (featherweight)","TODOROV, Georghi",Men,BUL,Bulgaria,M,Silver +Montreal,1976,Weightlifting,Weightlifting,"82.5 - 90kg, total (middle-heavyweight)","SHOPOV, Atanas",Men,BUL,Bulgaria,M,Bronze +Montreal,1976,Weightlifting,Weightlifting,"91 - 110kg, total (heavyweight)","SEMERDJIEV, Krastio",Men,BUL,Bulgaria,M,Silver +Montreal,1976,Weightlifting,Weightlifting,"91 - 110kg, total (heavyweight)","RUTKOWSKI, Tadeusz",Men,POL,Poland,M,Bronze +Montreal,1976,Weightlifting,Weightlifting,"67.5 - 75kg, total (middleweight)","MILITOSYAN, Vartan",Men,URS,Soviet Union,M,Silver +Montreal,1976,Weightlifting,Weightlifting,"- 52kg, total (flyweight)","NASSIRI-SERESHT, Mohammad",Men,IRI,Iran,M,Bronze +Montreal,1976,Weightlifting,Weightlifting,"56 - 60kg, total (featherweight)","KOLESNIKOV, Nikolai",Men,URS,Soviet Union,M,Gold +Montreal,1976,Weightlifting,Weightlifting,"60 - 67.5kg, total (lightweight)","SENET, Daniel",Men,FRA,France,M,Silver +Montreal,1976,Wrestling,Wrestling Free.,57 - 62kg (featherweight),"OIDOV, Zevegying",Men,MGL,Mongolia,M,Silver +Montreal,1976,Wrestling,Wrestling Free.,62 - 68kg (lightweight),"SUGAWARA, Yasaburo",Men,JPN,Japan,M,Bronze +Montreal,1976,Wrestling,Wrestling Free.,74 - 82kg (middleweight),"PETERSON, John Allan",Men,USA,United States,M,Gold +Montreal,1976,Wrestling,Wrestling Free.,+ 100kg (super heavyweight),"BALLA, Jozsef",Men,HUN,Hungary,M,Silver +Montreal,1976,Wrestling,Wrestling Free.,74 - 82kg (middleweight),"SEGER, Adolf",Men,FRG,West Germany,M,Bronze +Montreal,1976,Wrestling,Wrestling Free.,48 - 52kg (flyweight),"IVANOV, Aleksandr",Men,URS,Soviet Union,M,Silver +Montreal,1976,Wrestling,Wrestling Free.,+ 100kg (super heavyweight),"ANDIEV, Soslan",Men,URS,Soviet Union,M,Gold +Montreal,1976,Wrestling,Wrestling Free.,48 - 52kg (flyweight),"JEON, Hae-Sup",Men,KOR,"Korea, South",M,Bronze +Montreal,1976,Wrestling,Wrestling Free.,+ 100kg (super heavyweight),"SIMON, Ladislau",Men,ROU,Romania,M,Bronze +Montreal,1976,Wrestling,Wrestling Free.,82 - 90kg (light-heavyweight),"PETERSON, Benjamin Lee",Men,USA,United States,M,Silver +Montreal,1976,Wrestling,Wrestling Free.,57 - 62kg (featherweight),"YANG, Jung-Mo",Men,KOR,"Korea, South",M,Gold +Montreal,1976,Wrestling,Wrestling Free.,57 - 62kg (featherweight),"DAVIS, Eugene Lee",Men,USA,United States,M,Bronze +Montreal,1976,Wrestling,Wrestling Free.,90 - 100kg (heavyweight),"KOSTOV, Dimov",Men,BUL,Bulgaria,M,Bronze +Montreal,1976,Wrestling,Wrestling Free.,68 - 74kg (welterweight),"DATE, Jiichiro",Men,JPN,Japan,M,Gold +Montreal,1976,Wrestling,Wrestling Free.,- 48kg (light-flyweight),"MURSELOV, Khassan Issaiev",Men,BUL,Bulgaria,M,Gold +Montreal,1976,Wrestling,Wrestling Free.,52 - 57kg (bantamweight),"ARAI, Masao",Men,JPN,Japan,M,Bronze +Montreal,1976,Wrestling,Wrestling Free.,90 - 100kg (heavyweight),"YARYGIN, Ivan",Men,URS,Soviet Union,M,Gold +Montreal,1976,Wrestling,Wrestling Free.,62 - 68kg (lightweight),"KEASER, Lloyd Weldon",Men,USA,United States,M,Silver +Montreal,1976,Wrestling,Wrestling Free.,82 - 90kg (light-heavyweight),"MORCOV, Stelica",Men,ROU,Romania,M,Bronze +Montreal,1976,Wrestling,Wrestling Free.,68 - 74kg (welterweight),"DZIEDZIC, Stanley Joseph, Jr.",Men,USA,United States,M,Bronze +Montreal,1976,Wrestling,Wrestling Free.,52 - 57kg (bantamweight),"BRÜCHERT, Hans-Dieter",Men,GDR,East Germany,M,Silver +Montreal,1976,Wrestling,Wrestling Free.,90 - 100kg (heavyweight),"HELLICKSON, Russell Owen",Men,USA,United States,M,Silver +Montreal,1976,Wrestling,Wrestling Free.,52 - 57kg (bantamweight),"YUMIN, Vladimir",Men,URS,Soviet Union,M,Gold +Montreal,1976,Wrestling,Wrestling Free.,68 - 74kg (welterweight),"BARZEGAR, Mansour",Men,IRI,Iran,M,Silver +Montreal,1976,Wrestling,Wrestling Free.,62 - 68kg (lightweight),"PINIGIN, Pavel",Men,URS,Soviet Union,M,Gold +Montreal,1976,Wrestling,Wrestling Free.,- 48kg (light-flyweight),"KUDO, Akira",Men,JPN,Japan,M,Bronze +Montreal,1976,Wrestling,Wrestling Free.,82 - 90kg (light-heavyweight),"TEDIASHVILI, Levan",Men,URS,Soviet Union,M,Gold +Montreal,1976,Wrestling,Wrestling Free.,- 48kg (light-flyweight),"DMITRIEV, Roman",Men,URS,Soviet Union,M,Silver +Montreal,1976,Wrestling,Wrestling Free.,74 - 82kg (middleweight),"NOVOZHILOV, Viktor",Men,URS,Soviet Union,M,Silver +Montreal,1976,Wrestling,Wrestling Free.,48 - 52kg (flyweight),"TAKADA, Yuji",Men,JPN,Japan,M,Gold +Montreal,1976,Wrestling,Wrestling Gre-R,62 - 68kg (lightweight),"RUSU, Stefan",Men,ROU,Romania,M,Silver +Montreal,1976,Wrestling,Wrestling Gre-R,68 - 74kg (welterweight),"BYKOV, Anatoli",Men,URS,Soviet Union,M,Gold +Montreal,1976,Wrestling,Wrestling Gre-R,- 48kg (light-flyweight),"BERCEANU, Gheorghe",Men,ROU,Romania,M,Silver +Montreal,1976,Wrestling,Wrestling Gre-R,62 - 68kg (lightweight),"WEHLING, Heinz-Helmut",Men,GDR,East Germany,M,Bronze +Montreal,1976,Wrestling,Wrestling Gre-R,52 - 57kg (bantamweight),"UKKOLA, Pertti Olavi",Men,FIN,Finland,M,Gold +Montreal,1976,Wrestling,Wrestling Gre-R,+ 100kg (super heavyweight),"KOLCHINSKY, Aleksandr",Men,URS,Soviet Union,M,Gold +Montreal,1976,Wrestling,Wrestling Gre-R,90 - 100kg (heavyweight),"SKRZYDLEWSKI, Andrzej",Men,POL,Poland,M,Bronze +Montreal,1976,Wrestling,Wrestling Gre-R,90 - 100kg (heavyweight),"GORANOV, Kamen",Men,BUL,Bulgaria,M,Silver +Montreal,1976,Wrestling,Wrestling Gre-R,+ 100kg (super heavyweight),"TOMOV, Aleksandr",Men,BUL,Bulgaria,M,Silver +Montreal,1976,Wrestling,Wrestling Gre-R,48 - 52kg (flyweight),"HIRAYAMA, Koichiro",Men,JPN,Japan,M,Bronze +Montreal,1976,Wrestling,Wrestling Gre-R,82 - 90kg (light-heavyweight),"REZANTSEV, Valeri",Men,URS,Soviet Union,M,Gold +Montreal,1976,Wrestling,Wrestling Gre-R,- 48kg (light-flyweight),"ANGELOV, Stefan",Men,BUL,Bulgaria,M,Bronze +Montreal,1976,Wrestling,Wrestling Gre-R,68 - 74kg (welterweight),"MACHA, Vitezslav",Men,TCH,Czechoslovakia,M,Silver +Montreal,1976,Wrestling,Wrestling Gre-R,57 - 62kg (featherweight),"DAVIDYAN, Nelson",Men,URS,Soviet Union,M,Silver +Montreal,1976,Wrestling,Wrestling Gre-R,74 - 82kg (middleweight),"CHEBOKSAROV, Vladimir",Men,URS,Soviet Union,M,Silver +Montreal,1976,Wrestling,Wrestling Gre-R,48 - 52kg (flyweight),"GINGA, Nicu",Men,ROU,Romania,M,Silver +Montreal,1976,Wrestling,Wrestling Gre-R,82 - 90kg (light-heavyweight),"KWIECINSKI, Czeslaw",Men,POL,Poland,M,Bronze +Montreal,1976,Wrestling,Wrestling Gre-R,57 - 62kg (featherweight),"RECZI, Laszlo",Men,HUN,Hungary,M,Bronze +Montreal,1976,Wrestling,Wrestling Gre-R,74 - 82kg (middleweight),"PETKOVIC, Momir",Men,YUG,Yugoslavia,M,Gold +Montreal,1976,Wrestling,Wrestling Gre-R,74 - 82kg (middleweight),"KOLEV, Ivan",Men,BUL,Bulgaria,M,Bronze +Montreal,1976,Wrestling,Wrestling Gre-R,57 - 62kg (featherweight),"LIPIEN, Kazimierz",Men,POL,Poland,M,Gold +Montreal,1976,Wrestling,Wrestling Gre-R,62 - 68kg (lightweight),"NALBANDYAN, Suren",Men,URS,Soviet Union,M,Gold +Montreal,1976,Wrestling,Wrestling Gre-R,82 - 90kg (light-heavyweight),"IVANOV, Stoyan",Men,BUL,Bulgaria,M,Silver +Montreal,1976,Wrestling,Wrestling Gre-R,+ 100kg (super heavyweight),"CODREANU, Roman",Men,ROU,Romania,M,Bronze +Montreal,1976,Wrestling,Wrestling Gre-R,52 - 57kg (bantamweight),"MUSTAFIN, Farkhad",Men,URS,Soviet Union,M,Bronze +Montreal,1976,Wrestling,Wrestling Gre-R,48 - 52kg (flyweight),"KONSTANTINOV, Vitali",Men,URS,Soviet Union,M,Gold +Montreal,1976,Wrestling,Wrestling Gre-R,90 - 100kg (heavyweight),"BALBOSHIN, Nikolai",Men,URS,Soviet Union,M,Gold +Montreal,1976,Wrestling,Wrestling Gre-R,68 - 74kg (welterweight),"HELBING, Karl-Heinz",Men,FRG,West Germany,M,Bronze +Montreal,1976,Wrestling,Wrestling Gre-R,52 - 57kg (bantamweight),"FRGIC, Ivan",Men,YUG,Yugoslavia,M,Silver +Montreal,1976,Wrestling,Wrestling Gre-R,- 48kg (light-flyweight),"SHUMAKOV, Aleksei",Men,URS,Soviet Union,M,Gold +Moscow,1980,Aquatics,Diving,3m springboard,"GUTHKE, Karin",Women,GDR,East Germany,W,Bronze +Moscow,1980,Aquatics,Diving,3m springboard,"PROEBER, Martina",Women,GDR,East Germany,W,Silver +Moscow,1980,Aquatics,Diving,3m springboard,"PORTNOV, Aleksandr",Men,URS,Soviet Union,M,Gold +Moscow,1980,Aquatics,Diving,10m platform,"AMBARTSUMYAN, David",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Aquatics,Diving,3m springboard,"GIRON, Carlos",Men,MEX,Mexico,M,Silver +Moscow,1980,Aquatics,Diving,10m platform,"JÄSCHKE, Martina",Women,GDR,East Germany,W,Gold +Moscow,1980,Aquatics,Diving,10m platform,"ALEINIK, Vladimir",Men,URS,Soviet Union,M,Silver +Moscow,1980,Aquatics,Diving,3m springboard,"KALININA, Irina",Women,URS,Soviet Union,W,Gold +Moscow,1980,Aquatics,Diving,3m springboard,"CAGNOTTO, Giorgio Franco",Men,ITA,Italy,M,Bronze +Moscow,1980,Aquatics,Diving,10m platform,"EMIRZIAN, Servard",Women,URS,Soviet Union,W,Silver +Moscow,1980,Aquatics,Diving,10m platform,"HOFFMANN, Falk",Men,GDR,East Germany,M,Gold +Moscow,1980,Aquatics,Diving,10m platform,"TSOTADZE, Liana",Women,URS,Soviet Union,W,Bronze +Moscow,1980,Aquatics,Swimming,200m breaststroke,"VERMES, Alban",Men,HUN,Hungary,M,Silver +Moscow,1980,Aquatics,Swimming,4x100m medley relay,"KOPLYAKOV, Sergei",Men,URS,Soviet Union,M,Silver +Moscow,1980,Aquatics,Swimming,100m butterfly,"METSCHUCK, Caren",Women,GDR,East Germany,W,Gold +Moscow,1980,Aquatics,Swimming,4x200m freestyle relay,"SALNIKOV, Vladimir",Men,URS,Soviet Union,M,Gold +Moscow,1980,Aquatics,Swimming,100m freestyle,"JOHANSSON, Per",Men,SWE,Sweden,M,Bronze +Moscow,1980,Aquatics,Swimming,200m freestyle,"KRYLOV, Andrei",Men,URS,Soviet Union,M,Silver +Moscow,1980,Aquatics,Swimming,100m breaststroke,"NIELSSON, Susanne Schultz",Women,DEN,Denmark,W,Bronze +Moscow,1980,Aquatics,Swimming,4x200m freestyle relay,"KRYLOV, Andrei",Men,URS,Soviet Union,M,Gold +Moscow,1980,Aquatics,Swimming,200m breaststroke,"BOGDANOVA, Yulia",Women,URS,Soviet Union,W,Bronze +Moscow,1980,Aquatics,Swimming,100m butterfly,"POLLACK, Andrea",Women,GDR,East Germany,W,Silver +Moscow,1980,Aquatics,Swimming,200m breaststroke,"VARGANOVA, Svetlana",Women,URS,Soviet Union,W,Silver +Moscow,1980,Aquatics,Swimming,4x200m freestyle relay,"FERNANDES, Jorge Luiz",Men,BRA,Brazil,M,Bronze +Moscow,1980,Aquatics,Swimming,200m freestyle,"BREWER, Graeme",Men,AUS,Australia,M,Bronze +Moscow,1980,Aquatics,Swimming,4x100m freestyle relay,"LJUNGDAHL, Carina",Women,SWE,Sweden,W,Silver +Moscow,1980,Aquatics,Swimming,4x100m medley relay,"STRUNNIKOVA, Natalia",Women,URS,Soviet Union,W,Bronze +Moscow,1980,Aquatics,Swimming,4x100m medley relay,"BROOKS, Neil",Men,AUS,Australia,M,Gold +Moscow,1980,Aquatics,Swimming,400m freestyle,"DIERS, Ines",Women,GDR,East Germany,W,Gold +Moscow,1980,Aquatics,Swimming,100m breaststroke,"GOODHEW, Dunkan",Men,GBR,United Kingdom,M,Gold +Moscow,1980,Aquatics,Swimming,100m backstroke,"RIEDEL, Petra",Women,GDR,East Germany,W,Bronze +Moscow,1980,Aquatics,Swimming,4x200m freestyle relay,"KOPLYAKOV, Sergei",Men,URS,Soviet Union,M,Gold +Moscow,1980,Aquatics,Swimming,100m freestyle,"KRAUSE, Barbara",Women,GDR,East Germany,W,Gold +Moscow,1980,Aquatics,Swimming,4x100m freestyle relay,"KRAUSE, Barbara",Women,GDR,East Germany,W,Gold +Moscow,1980,Aquatics,Swimming,200m backstroke,"KERRY, Mark",Men,AUS,Australia,M,Bronze +Moscow,1980,Aquatics,Swimming,4x100m medley relay,"LOWE, David",Men,GBR,United Kingdom,M,Bronze +Moscow,1980,Aquatics,Swimming,4x100m medley relay,"KRUGLOVA, Elena",Women,URS,Soviet Union,W,Bronze +Moscow,1980,Aquatics,Swimming,4x100m medley relay,"GOODHEW, Dunkan",Men,GBR,United Kingdom,M,Bronze +Moscow,1980,Aquatics,Swimming,400m freestyle,"SCHNEIDER, Petra",Women,GDR,East Germany,W,Silver +Moscow,1980,Aquatics,Swimming,400m individual medley,"VERRASZTO, Zoltan",Men,HUN,Hungary,M,Bronze +Moscow,1980,Aquatics,Swimming,200m breaststroke,"ZHULPA, Robertas",Men,URS,Soviet Union,M,Gold +Moscow,1980,Aquatics,Swimming,200m breaststroke,"KACHUSHITE, Lina",Women,URS,Soviet Union,W,Gold +Moscow,1980,Aquatics,Swimming,4x100m medley relay,"POLLACK, Andrea",Women,GDR,East Germany,W,Gold +Moscow,1980,Aquatics,Swimming,400m individual medley,"SIDORENKO, Aleksandr",Men,URS,Soviet Union,M,Gold +Moscow,1980,Aquatics,Swimming,200m breaststroke,"MISKAROV, Arsen",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Aquatics,Swimming,4x200m freestyle relay,"DELGADO, Ciro Marques",Men,BRA,Brazil,M,Bronze +Moscow,1980,Aquatics,Swimming,4x100m medley relay,"VASILKOVA, Elvira",Women,URS,Soviet Union,W,Bronze +Moscow,1980,Aquatics,Swimming,200m butterfly,"FORD, Michelle",Women,AUS,Australia,W,Bronze +Moscow,1980,Aquatics,Swimming,200m backstroke,"VERRASZTO, Zoltan",Men,HUN,Hungary,M,Silver +Moscow,1980,Aquatics,Swimming,1500m freestyle,"CHAEV, Aleksandr",Men,URS,Soviet Union,M,Silver +Moscow,1980,Aquatics,Swimming,4x100m freestyle relay,"DE JONG, Reggie",Women,NED,Netherlands,W,Bronze +Moscow,1980,Aquatics,Swimming,4x100m medley relay,"KELLY-HOHMANN, Margaret",Women,GBR,United Kingdom,W,Silver +Moscow,1980,Aquatics,Swimming,200m freestyle,"KOPLYAKOV, Sergei",Men,URS,Soviet Union,M,Gold +Moscow,1980,Aquatics,Swimming,200m butterfly,"HUBBLE, Philip",Men,GBR,United Kingdom,M,Silver +Moscow,1980,Aquatics,Swimming,4x100m medley relay,"GEWENIGER, Ute",Women,GDR,East Germany,W,Gold +Moscow,1980,Aquatics,Swimming,200m backstroke,"TREIBER, Birgit",Women,GDR,East Germany,W,Bronze +Moscow,1980,Aquatics,Swimming,1500m freestyle,"METZKER, Maxwell",Men,AUS,Australia,M,Bronze +Moscow,1980,Aquatics,Swimming,4x100m medley relay,"ABRAHAM, Gary",Men,GBR,United Kingdom,M,Bronze +Moscow,1980,Aquatics,Swimming,400m freestyle,"STUKOLKIN, Ivar",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Aquatics,Swimming,4x100m medley relay,"JAMESON, Helen",Women,GBR,United Kingdom,W,Silver +Moscow,1980,Aquatics,Swimming,400m freestyle,"KRYLOV, Andrei",Men,URS,Soviet Union,M,Silver +Moscow,1980,Aquatics,Swimming,1500m freestyle,"SALNIKOV, Vladimir",Men,URS,Soviet Union,M,Gold +Moscow,1980,Aquatics,Swimming,4x200m freestyle relay,"STROHBACH, Rainer",Men,GDR,East Germany,M,Silver +Moscow,1980,Aquatics,Swimming,400m individual medley,"DAVIES, Sharron Elizabeth",Women,GBR,United Kingdom,W,Silver +Moscow,1980,Aquatics,Swimming,4x100m freestyle relay,"ERIKSSON, Agneta",Women,SWE,Sweden,W,Silver +Moscow,1980,Aquatics,Swimming,4x200m freestyle relay,"WOITHE, Jörg",Men,GDR,East Germany,M,Silver +Moscow,1980,Aquatics,Swimming,4x100m medley relay,"MISKAROV, Arsen",Men,URS,Soviet Union,M,Silver +Moscow,1980,Aquatics,Swimming,100m backstroke,"BARON, Bengt",Men,SWE,Sweden,M,Gold +Moscow,1980,Aquatics,Swimming,100m backstroke,"KUZNETSOV, Viktor",Men,URS,Soviet Union,M,Silver +Moscow,1980,Aquatics,Swimming,4x100m freestyle relay,"MÄRTENSSON, Agneta",Women,SWE,Sweden,W,Silver +Moscow,1980,Aquatics,Swimming,4x100m medley relay,"TONELLI, Mark",Men,AUS,Australia,M,Gold +Moscow,1980,Aquatics,Swimming,4x100m medley relay,"METSCHUCK, Caren",Women,GDR,East Germany,W,Gold +Moscow,1980,Aquatics,Swimming,4x100m freestyle relay,"VAN VELSEN, Wilma",Women,NED,Netherlands,W,Bronze +Moscow,1980,Aquatics,Swimming,400m individual medley,"SCHNEIDER, Petra",Women,GDR,East Germany,W,Gold +Moscow,1980,Aquatics,Swimming,200m backstroke,"REINISCH, Rica",Women,GDR,East Germany,W,Gold +Moscow,1980,Aquatics,Swimming,4x100m medley relay,"KERRY, Mark",Men,AUS,Australia,M,Gold +Moscow,1980,Aquatics,Swimming,200m freestyle,"DIERS, Ines",Women,GDR,East Germany,W,Silver +Moscow,1980,Aquatics,Swimming,4x100m medley relay,"GRISHCHENKOVA, Alla",Women,URS,Soviet Union,W,Bronze +Moscow,1980,Aquatics,Swimming,4x100m freestyle relay,"METSCHUCK, Caren",Women,GDR,East Germany,W,Gold +Moscow,1980,Aquatics,Swimming,4x100m medley relay,"SEREDIN, Evgeni",Men,URS,Soviet Union,M,Silver +Moscow,1980,Aquatics,Swimming,200m butterfly,"GEISSLER, Ines",Women,GDR,East Germany,W,Gold +Moscow,1980,Aquatics,Swimming,4x200m freestyle relay,"STUKOLKIN, Ivar",Men,URS,Soviet Union,M,Gold +Moscow,1980,Aquatics,Swimming,100m butterfly,"ARVIDSSON, Pär",Men,SWE,Sweden,M,Gold +Moscow,1980,Aquatics,Swimming,4x100m medley relay,"OSGERBY, Ann",Women,GBR,United Kingdom,W,Silver +Moscow,1980,Aquatics,Swimming,100m backstroke,"KLEBER, Ina",Women,GDR,East Germany,W,Silver +Moscow,1980,Aquatics,Swimming,200m freestyle,"SCHMIDT, Carmela",Women,GDR,East Germany,W,Bronze +Moscow,1980,Aquatics,Swimming,4x100m freestyle relay,"DIERS, Ines",Women,GDR,East Germany,W,Gold +Moscow,1980,Aquatics,Swimming,4x200m freestyle relay,"PFÜTZE, Frank",Men,GDR,East Germany,M,Silver +Moscow,1980,Aquatics,Swimming,400m freestyle,"SALNIKOV, Vladimir",Men,URS,Soviet Union,M,Gold +Moscow,1980,Aquatics,Swimming,4x100m medley relay,"EVANS, Peter",Men,AUS,Australia,M,Gold +Moscow,1980,Aquatics,Swimming,800m freestyle,"DIERS, Ines",Women,GDR,East Germany,W,Silver +Moscow,1980,Aquatics,Swimming,800m freestyle,"FORD, Michelle",Women,AUS,Australia,W,Gold +Moscow,1980,Aquatics,Swimming,200m butterfly,"SCHÖNROCK, Sybille",Women,GDR,East Germany,W,Silver +Moscow,1980,Aquatics,Swimming,4x100m freestyle relay,"MAAS, Annelies",Women,NED,Netherlands,W,Bronze +Moscow,1980,Aquatics,Swimming,400m individual medley,"FESENKO, Sergei",Men,URS,Soviet Union,M,Silver +Moscow,1980,Aquatics,Swimming,100m breaststroke,"GEWENIGER, Ute",Women,GDR,East Germany,W,Gold +Moscow,1980,Aquatics,Swimming,200m butterfly,"FESENKO, Sergei",Men,URS,Soviet Union,M,Gold +Moscow,1980,Aquatics,Swimming,4x100m medley relay,"KUZNETSOV, Viktor",Men,URS,Soviet Union,M,Silver +Moscow,1980,Aquatics,Swimming,4x200m freestyle relay,"GRABS, Detlev",Men,GDR,East Germany,M,Silver +Moscow,1980,Aquatics,Swimming,100m freestyle,"HOLMERTZ, Per",Men,SWE,Sweden,M,Silver +Moscow,1980,Aquatics,Swimming,100m freestyle,"METSCHUCK, Caren",Women,GDR,East Germany,W,Silver +Moscow,1980,Aquatics,Swimming,200m freestyle,"KRAUSE, Barbara",Women,GDR,East Germany,W,Gold +Moscow,1980,Aquatics,Swimming,4x100m freestyle relay,"GUSTAFSSON, Tina",Women,SWE,Sweden,W,Silver +Moscow,1980,Aquatics,Swimming,100m breaststroke,"MISKAROV, Arsen",Men,URS,Soviet Union,M,Silver +Moscow,1980,Aquatics,Swimming,4x100m freestyle relay,"VAN BENTUM, Conny",Women,NED,Netherlands,W,Bronze +Moscow,1980,Aquatics,Swimming,100m butterfly,"KNACKE, Christiane",Women,GDR,East Germany,W,Bronze +Moscow,1980,Aquatics,Swimming,400m freestyle,"SCHMIDT, Carmela",Women,GDR,East Germany,W,Bronze +Moscow,1980,Aquatics,Swimming,4x100m medley relay,"SMITH, Martin",Men,GBR,United Kingdom,M,Bronze +Moscow,1980,Aquatics,Swimming,400m individual medley,"CZOPEK, Agnieszka",Women,POL,Poland,W,Bronze +Moscow,1980,Aquatics,Swimming,100m butterfly,"PYTTEL, Roger",Men,GDR,East Germany,M,Silver +Moscow,1980,Aquatics,Swimming,4x200m freestyle relay,"GARRIDO MADRUGA, Djan",Men,BRA,Brazil,M,Bronze +Moscow,1980,Aquatics,Swimming,100m freestyle,"DIERS, Ines",Women,GDR,East Germany,W,Bronze +Moscow,1980,Aquatics,Swimming,100m breaststroke,"VASILKOVA, Elvira",Women,URS,Soviet Union,W,Silver +Moscow,1980,Aquatics,Swimming,100m butterfly,"LOPEZ-ZUBERO PURCELL, David",Men,ESP,Spain,M,Bronze +Moscow,1980,Aquatics,Swimming,4x200m freestyle relay,"MATTIOLI, Marcus Laborne",Men,BRA,Brazil,M,Bronze +Moscow,1980,Aquatics,Swimming,800m freestyle,"DÄHNE, Heike",Women,GDR,East Germany,W,Bronze +Moscow,1980,Aquatics,Swimming,100m freestyle,"WOITHE, Jörg",Men,GDR,East Germany,M,Gold +Moscow,1980,Aquatics,Swimming,4x100m medley relay,"REINISCH, Rica",Women,GDR,East Germany,W,Gold +Moscow,1980,Aquatics,Swimming,100m breaststroke,"EVANS, Peter",Men,AUS,Australia,M,Bronze +Moscow,1980,Aquatics,Swimming,100m backstroke,"DOLGOV, Vladimir",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Aquatics,Swimming,4x100m medley relay,"CROFT, June",Women,GBR,United Kingdom,W,Silver +Moscow,1980,Aquatics,Swimming,4x100m freestyle relay,"HÜLSENBECK, Sarina",Women,GDR,East Germany,W,Gold +Moscow,1980,Aquatics,Swimming,100m backstroke,"REINISCH, Rica",Women,GDR,East Germany,W,Gold +Moscow,1980,Aquatics,Swimming,200m backstroke,"WLADAR, Sandor",Men,HUN,Hungary,M,Gold +Moscow,1980,Aquatics,Swimming,200m butterfly,"PYTTEL, Roger",Men,GDR,East Germany,M,Bronze +Moscow,1980,Aquatics,Swimming,200m backstroke,"POLIT, Cornelia",Women,GDR,East Germany,W,Silver +Moscow,1980,Aquatics,Water polo,water polo,"ROJE, Zoran",Men,YUG,Yugoslavia,M,Silver +Moscow,1980,Aquatics,Water polo,water polo,"RUDIC, Ratko",Men,YUG,Yugoslavia,M,Silver +Moscow,1980,Aquatics,Water polo,water polo,"LOZICA, Bosko",Men,YUG,Yugoslavia,M,Silver +Moscow,1980,Aquatics,Water polo,water polo,"MANOJLOVIC, Predrag",Men,YUG,Yugoslavia,M,Silver +Moscow,1980,Aquatics,Water polo,water polo,"VEZILIC, Luka",Men,YUG,Yugoslavia,M,Silver +Moscow,1980,Aquatics,Water polo,water polo,"FARAGO, Tamas",Men,HUN,Hungary,M,Bronze +Moscow,1980,Aquatics,Water polo,water polo,"POLIC, Damir",Men,YUG,Yugoslavia,M,Silver +Moscow,1980,Aquatics,Water polo,water polo,"GOPCEVIC, Zoran",Men,YUG,Yugoslavia,M,Silver +Moscow,1980,Aquatics,Water polo,water polo,"SHAGAEV, Erkin",Men,URS,Soviet Union,M,Gold +Moscow,1980,Aquatics,Water polo,water polo,"MOLNAR, Endre",Men,HUN,Hungary,M,Bronze +Moscow,1980,Aquatics,Water polo,water polo,"MUSTUR, Zoran",Men,YUG,Yugoslavia,M,Silver +Moscow,1980,Aquatics,Water polo,water polo,"HORKAI, Gyorgy",Men,HUN,Hungary,M,Bronze +Moscow,1980,Aquatics,Water polo,water polo,"IVANOV, Mikhail",Men,URS,Soviet Union,M,Gold +Moscow,1980,Aquatics,Water polo,water polo,"BEBIC, Milivoj",Men,YUG,Yugoslavia,M,Silver +Moscow,1980,Aquatics,Water polo,water polo,"SHARONOV, Evgeni",Men,URS,Soviet Union,M,Gold +Moscow,1980,Aquatics,Water polo,water polo,"TRIFUNOVIC, Slobodan",Men,YUG,Yugoslavia,M,Silver +Moscow,1980,Aquatics,Water polo,water polo,"SUDAR, Attila",Men,HUN,Hungary,M,Bronze +Moscow,1980,Aquatics,Water polo,water polo,"KOTENKO, Sergei",Men,URS,Soviet Union,M,Gold +Moscow,1980,Aquatics,Water polo,water polo,"MSCHVENIERADZE, Georgi",Men,URS,Soviet Union,M,Gold +Moscow,1980,Aquatics,Water polo,water polo,"BARKALOV, Aleksei",Men,URS,Soviet Union,M,Gold +Moscow,1980,Aquatics,Water polo,water polo,"KABANOV, Aleksandr",Men,URS,Soviet Union,M,Gold +Moscow,1980,Aquatics,Water polo,water polo,"AKIMOV, Vladimir",Men,URS,Soviet Union,M,Gold +Moscow,1980,Aquatics,Water polo,water polo,"HAUSZLER, Karoly",Men,HUN,Hungary,M,Bronze +Moscow,1980,Aquatics,Water polo,water polo,"UDVARDI, Istvan",Men,HUN,Hungary,M,Bronze +Moscow,1980,Aquatics,Water polo,water polo,"SOBCHENKO, Viacheslav",Men,URS,Soviet Union,M,Gold +Moscow,1980,Aquatics,Water polo,water polo,"KUNCZ, Laszlo",Men,HUN,Hungary,M,Bronze +Moscow,1980,Aquatics,Water polo,water polo,"CSAPO, Gabor",Men,HUN,Hungary,M,Bronze +Moscow,1980,Aquatics,Water polo,water polo,"KISS, Istvan",Men,HUN,Hungary,M,Bronze +Moscow,1980,Aquatics,Water polo,water polo,"KRIVOKAPIC, Milorad",Men,YUG,Yugoslavia,M,Silver +Moscow,1980,Aquatics,Water polo,water polo,"GRISHIN, Evgeni",Men,URS,Soviet Union,M,Gold +Moscow,1980,Aquatics,Water polo,water polo,"SZIVOS, Istvan",Men,HUN,Hungary,M,Bronze +Moscow,1980,Aquatics,Water polo,water polo,"GERENDAS, Gyorgy",Men,HUN,Hungary,M,Bronze +Moscow,1980,Aquatics,Water polo,water polo,"RIISMAN, Mait",Men,URS,Soviet Union,M,Gold +Moscow,1980,Archery,Archery,individual FITA round,"MERILUOTO-AALTONEN, Paivi",Women,FIN,Finland,W,Bronze +Moscow,1980,Archery,Archery,individual FITA round,"LOSABERIDZE, Keto",Women,URS,Soviet Union,W,Gold +Moscow,1980,Archery,Archery,individual FITA round,"BUTUZOVA, Natalia",Women,URS,Soviet Union,W,Silver +Moscow,1980,Archery,Archery,individual FITA round,"FERRARI, Giancarlo",Men,ITA,Italy,M,Bronze +Moscow,1980,Archery,Archery,individual FITA round,"POIKOLAINEN, Tomi",Men,FIN,Finland,M,Gold +Moscow,1980,Archery,Archery,individual FITA round,"ISACHENKO, Boris",Men,URS,Soviet Union,M,Silver +Moscow,1980,Athletics,Athletics,4x100m relay,"SMALLWOOD-COOK, Kathryn",Women,GBR,United Kingdom,W,Bronze +Moscow,1980,Athletics,Athletics,shot put,"KISELEV, Vladimir",Men,URS,Soviet Union,M,Gold +Moscow,1980,Athletics,Athletics,4x100m relay,"ECKERT-WÖCKEL, Bärbel",Women,GDR,East Germany,W,Gold +Moscow,1980,Athletics,Athletics,shot put,"BARYSHNIKOV, Aleksandr",Men,URS,Soviet Union,M,Silver +Moscow,1980,Athletics,Athletics,1500m,"OVETT, Steve",Men,GBR,United Kingdom,M,Bronze +Moscow,1980,Athletics,Athletics,4x100m relay,"AKSININ, Aleksandr",Men,URS,Soviet Union,M,Gold +Moscow,1980,Athletics,Athletics,high jump,"KIELAN, Urszula",Women,POL,Poland,W,Silver +Moscow,1980,Athletics,Athletics,4x100m relay,"PANZO, Herman",Men,FRA,France,M,Bronze +Moscow,1980,Athletics,Athletics,800m,"KIROV, Nikolai",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Athletics,Athletics,javelin throw,"MAKAROV, Aleksandr",Men,URS,Soviet Union,M,Silver +Moscow,1980,Athletics,Athletics,4x400m relay,"LÖWE, Gabriele",Women,GDR,East Germany,W,Silver +Moscow,1980,Athletics,Athletics,4x400m relay,"MACGREGOR, Janine",Women,GBR,United Kingdom,W,Bronze +Moscow,1980,Athletics,Athletics,javelin throw,"HOMMOLA, Ute",Women,GDR,East Germany,W,Bronze +Moscow,1980,Athletics,Athletics,1500m,"OLIZARENKO, Nadezhda",Women,URS,Soviet Union,W,Bronze +Moscow,1980,Athletics,Athletics,4x100m relay,"DUNECKI, Leszek",Men,POL,Poland,M,Silver +Moscow,1980,Athletics,Athletics,4x100m relay,"GODDARD-CALLENDER, Beverley",Women,GBR,United Kingdom,W,Bronze +Moscow,1980,Athletics,Athletics,10000m,"YIFTER, Miruts",Men,ETH,Ethiopia,M,Gold +Moscow,1980,Athletics,Athletics,4x100m relay,"SIDOROV, Nikolai",Men,URS,Soviet Union,M,Gold +Moscow,1980,Athletics,Athletics,javelin throw,"GUNBA, Saida",Women,URS,Soviet Union,W,Silver +Moscow,1980,Athletics,Athletics,long jump,"DOMBROWSKI, Lutz",Men,GDR,East Germany,M,Gold +Moscow,1980,Athletics,Athletics,4x400m relay,"MARKIN, Viktor",Men,URS,Soviet Union,M,Gold +Moscow,1980,Athletics,Athletics,4x400m relay,"MALINVERNI, Stefano",Men,ITA,Italy,M,Bronze +Moscow,1980,Athletics,Athletics,50km walk,"IVCHENKO, Evgeni",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Athletics,Athletics,marathon,"DZHUMANAZAROV, Setymkul",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Athletics,Athletics,hammer throw,"SEDYKH, Yuri",Men,URS,Soviet Union,M,Gold +Moscow,1980,Athletics,Athletics,4x100m relay,"KOMISOVA, Vera",Women,URS,Soviet Union,W,Silver +Moscow,1980,Athletics,Athletics,pole vault,"KOZAKIEWICZ, Wladyslaw",Men,POL,Poland,M,Gold +Moscow,1980,Athletics,Athletics,4x100m relay,"ZWOLINSKI, Krzysztof",Men,POL,Poland,M,Silver +Moscow,1980,Athletics,Athletics,1500m,"COE, Sebastian",Men,GBR,United Kingdom,M,Gold +Moscow,1980,Athletics,Athletics,high jump,"WESSIG, Gerd",Men,GDR,East Germany,M,Gold +Moscow,1980,Athletics,Athletics,pentathlon,"TKACHENKO, Nadezhda",Women,URS,Soviet Union,W,Gold +Moscow,1980,Athletics,Athletics,10000m,"KEDIR, Mohammed",Men,ETH,Ethiopia,M,Bronze +Moscow,1980,Athletics,Athletics,800m,"OLIZARENKO, Nadezhda",Women,URS,Soviet Union,W,Gold +Moscow,1980,Athletics,Athletics,triple jump,"SANEEV, Viktor",Men,URS,Soviet Union,M,Silver +Moscow,1980,Athletics,Athletics,50km walk,"GAUDER, Hartwig",Men,GDR,East Germany,M,Gold +Moscow,1980,Athletics,Athletics,long jump,"PODLUZHNYI, Valeri",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Athletics,Athletics,4x400m relay,"BREHMER-LATHAN, Christina",Women,GDR,East Germany,W,Silver +Moscow,1980,Athletics,Athletics,400m hurdles,"BECK, Volker",Men,GDR,East Germany,M,Gold +Moscow,1980,Athletics,Athletics,10000m,"MAANINKA, Kaarlo",Men,FIN,Finland,M,Silver +Moscow,1980,Athletics,Athletics,20km walk,"DAMILANO, Maurizio",Men,ITA,Italy,M,Gold +Moscow,1980,Athletics,Athletics,4x400m relay,"TOZZI, Roberto",Men,ITA,Italy,M,Bronze +Moscow,1980,Athletics,Athletics,4x400m relay,"ZULIANI, Mauro",Men,ITA,Italy,M,Bronze +Moscow,1980,Athletics,Athletics,discus throw,"SCHLAAK-JAHL, Evelin",Women,GDR,East Germany,W,Gold +Moscow,1980,Athletics,Athletics,200m,"ECKERT-WÖCKEL, Bärbel",Women,GDR,East Germany,W,Gold +Moscow,1980,Athletics,Athletics,4x100m relay,"ANISIMOVA, Vera",Women,URS,Soviet Union,W,Silver +Moscow,1980,Athletics,Athletics,5000m,"MAANINKA, Kaarlo",Men,FIN,Finland,M,Bronze +Moscow,1980,Athletics,Athletics,4x100m relay,"PROKOFIEV, Andrei",Men,URS,Soviet Union,M,Gold +Moscow,1980,Athletics,Athletics,3000m steeplechase,"TURA, Eshetu",Men,ETH,Ethiopia,M,Bronze +Moscow,1980,Athletics,Athletics,long jump,"WUJAK, Brigitte",Women,GDR,East Germany,W,Silver +Moscow,1980,Athletics,Athletics,hammer throw,"TAMM, Yuri",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Athletics,Athletics,800m,"PROVIDOKHINA, Tatiana",Women,URS,Soviet Union,W,Bronze +Moscow,1980,Athletics,Athletics,1500m,"STOLL-WARTENBERG, Christiane",Women,GDR,East Germany,W,Silver +Moscow,1980,Athletics,Athletics,400m hurdles,"OAKES, Gary",Men,GBR,United Kingdom,M,Bronze +Moscow,1980,Athletics,Athletics,4x400m relay,"MACDONALD, Linsey",Women,GBR,United Kingdom,W,Bronze +Moscow,1980,Athletics,Athletics,400m,"MARKIN, Viktor",Men,URS,Soviet Union,M,Gold +Moscow,1980,Athletics,Athletics,400m,"BREHMER-LATHAN, Christina",Women,GDR,East Germany,W,Bronze +Moscow,1980,Athletics,Athletics,discus throw,"RASHCHUPKIN, Viktor",Men,URS,Soviet Union,M,Gold +Moscow,1980,Athletics,Athletics,4x400m relay,"PROBERT-SCUTT, Michelle",Women,GBR,United Kingdom,W,Bronze +Moscow,1980,Athletics,Athletics,pole vault,"VOLKOV, Konstantin",Men,URS,Soviet Union,M,Silver +Moscow,1980,Athletics,Athletics,3000m steeplechase,"MALINOWSKI, Bronislaw",Men,POL,Poland,M,Gold +Moscow,1980,Athletics,Athletics,javelin throw,"KULA, Dainis",Men,URS,Soviet Union,M,Gold +Moscow,1980,Athletics,Athletics,shot put,"BEYER, Udo",Men,GDR,East Germany,M,Bronze +Moscow,1980,Athletics,Athletics,100m hurdles,"SCHALLER-KLIER, Johanna",Women,GDR,East Germany,W,Silver +Moscow,1980,Athletics,Athletics,4x400m relay,"NAZAROVA, Irina",Women,URS,Soviet Union,W,Gold +Moscow,1980,Athletics,Athletics,4x400m relay,"THIELE, Klaus",Men,GDR,East Germany,M,Silver +Moscow,1980,Athletics,Athletics,decathlon,"THOMPSON, Daley",Men,GBR,United Kingdom,M,Gold +Moscow,1980,Athletics,Athletics,discus throw,"LESOVAIA, Tatiana",Women,URS,Soviet Union,W,Bronze +Moscow,1980,Athletics,Athletics,hammer throw,"LITVINOV, Sergei",Men,URS,Soviet Union,M,Silver +Moscow,1980,Athletics,Athletics,4x400m relay,"BECK, Volker",Men,GDR,East Germany,M,Silver +Moscow,1980,Athletics,Athletics,pole vault,"SLUSARSKI, Tadeusz",Men,POL,Poland,M,Silver +Moscow,1980,Athletics,Athletics,100m,"WELLS, Allan",Men,GBR,United Kingdom,M,Gold +Moscow,1980,Athletics,Athletics,4x400m relay,"KRUG, Barbara",Women,GDR,East Germany,W,Silver +Moscow,1980,Athletics,Athletics,triple jump,"DE OLIVEIRA, Joao Carlos",Men,BRA,Brazil,M,Bronze +Moscow,1980,Athletics,Athletics,4x400m relay,"PROROCHENKO, Tatiana",Women,URS,Soviet Union,W,Gold +Moscow,1980,Athletics,Athletics,3000m steeplechase,"BAYI, Filbert",Men,TAN,Tanzania,M,Silver +Moscow,1980,Athletics,Athletics,100m hurdles,"LANGER, Lucyna",Women,POL,Poland,W,Bronze +Moscow,1980,Athletics,Athletics,400m hurdles,"ARKHIPENKO, Vasili",Men,URS,Soviet Union,M,Silver +Moscow,1980,Athletics,Athletics,marathon,"NIJBOER, Gerard",Men,NED,Netherlands,M,Silver +Moscow,1980,Athletics,Athletics,4x400m relay,"KOCH, Marita",Women,GDR,East Germany,W,Silver +Moscow,1980,Athletics,Athletics,4x100m relay,"LANNAMAN, Sonia",Women,GBR,United Kingdom,W,Bronze +Moscow,1980,Athletics,Athletics,20km walk,"WIESER, Roland",Men,GDR,East Germany,M,Bronze +Moscow,1980,Athletics,Athletics,4x100m relay,"HUNTE-OAKES, Heather",Women,GBR,United Kingdom,W,Bronze +Moscow,1980,Athletics,Athletics,200m,"OTTEY-PAGE, Merlene",Women,JAM,Jamaica,W,Bronze +Moscow,1980,Athletics,Athletics,pentathlon,"RUKAVISHNIKOVA, Olga",Women,URS,Soviet Union,W,Silver +Moscow,1980,Athletics,Athletics,5000m,"NYAMBUI, Suleiman",Men,TAN,Tanzania,M,Silver +Moscow,1980,Athletics,Athletics,800m,"COE, Sebastian",Men,GBR,United Kingdom,M,Silver +Moscow,1980,Athletics,Athletics,4x400m relay,"LINGE, Mikhail",Men,URS,Soviet Union,M,Gold +Moscow,1980,Athletics,Athletics,4x400m relay,"VALIULIS, Remigius",Men,URS,Soviet Union,M,Gold +Moscow,1980,Athletics,Athletics,110m hurdles,"CASANAS RAMIREZ, Alejandro",Men,CUB,Cuba,M,Silver +Moscow,1980,Athletics,Athletics,4x100m relay,"RICHARD, Antoine",Men,FRA,France,M,Bronze +Moscow,1980,Athletics,Athletics,4x100m relay,"BARRE, Patrick",Men,FRA,France,M,Bronze +Moscow,1980,Athletics,Athletics,long jump,"KOLPAKOVA, Tatiana",Women,URS,Soviet Union,W,Gold +Moscow,1980,Athletics,Athletics,5000m,"YIFTER, Miruts",Men,ETH,Ethiopia,M,Gold +Moscow,1980,Athletics,Athletics,discus throw,"BUGAR, Imrich",Men,TCH,Czechoslovakia,M,Silver +Moscow,1980,Athletics,Athletics,1500m,"KAZANKINA, Tatiana",Women,URS,Soviet Union,W,Gold +Moscow,1980,Athletics,Athletics,400m,"KRATOHVILOVA, Jarmila",Women,TCH,Czechoslovakia,W,Silver +Moscow,1980,Athletics,Athletics,100m,"KONDRATIEVA, Liudmila",Women,URS,Soviet Union,W,Gold +Moscow,1980,Athletics,Athletics,4x100m relay,"BOCHINA, Natalia",Women,URS,Soviet Union,W,Silver +Moscow,1980,Athletics,Athletics,pentathlon,"KURAGINA, Olga",Women,URS,Soviet Union,W,Bronze +Moscow,1980,Athletics,Athletics,4x400m relay,"KNEBEL, Andreas",Men,GDR,East Germany,M,Silver +Moscow,1980,Athletics,Athletics,110m hurdles,"MUNKELT, Thomas",Men,GDR,East Germany,M,Gold +Moscow,1980,Athletics,Athletics,triple jump,"UUDMAE, Yaak",Men,URS,Soviet Union,M,Gold +Moscow,1980,Athletics,Athletics,100m,"OELSNER-GÖHR, Marlies",Women,GDR,East Germany,W,Silver +Moscow,1980,Athletics,Athletics,4x100m relay,"LICZNERSKI, Zenon",Men,POL,Poland,M,Silver +Moscow,1980,Athletics,Athletics,200m,"MENNEA, Pietro",Men,ITA,Italy,M,Gold +Moscow,1980,Athletics,Athletics,800m,"OVETT, Steve",Men,GBR,United Kingdom,M,Gold +Moscow,1980,Athletics,Athletics,4x400m relay,"SCHAFFER, Frank",Men,GDR,East Germany,M,Silver +Moscow,1980,Athletics,Athletics,4x400m relay,"CHERNETSKI, Nikolai",Men,URS,Soviet Union,M,Gold +Moscow,1980,Athletics,Athletics,decathlon,"ZHELANOV, Sergei",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Athletics,Athletics,1500m,"STRAUB, Jürgen",Men,GDR,East Germany,M,Silver +Moscow,1980,Athletics,Athletics,long jump,"SKACHKO, Tatiana",Women,URS,Soviet Union,W,Bronze +Moscow,1980,Athletics,Athletics,20km walk,"POCHINCHUK, Piotr",Men,URS,Soviet Union,M,Silver +Moscow,1980,Athletics,Athletics,200m,"WELLS, Allan",Men,GBR,United Kingdom,M,Silver +Moscow,1980,Athletics,Athletics,shot put,"KRACHEVSKAIA, Svetlana",Women,URS,Soviet Union,W,Silver +Moscow,1980,Athletics,Athletics,javelin throw,"COLON, Maria",Women,CUB,Cuba,W,Gold +Moscow,1980,Athletics,Athletics,4x100m relay,"MURAVYOV, Vladimir",Men,URS,Soviet Union,M,Gold +Moscow,1980,Athletics,Athletics,long jump,"PASCHEK, Frank",Men,GDR,East Germany,M,Silver +Moscow,1980,Athletics,Athletics,4x100m relay,"BARRE, Pascal",Men,FRA,France,M,Bronze +Moscow,1980,Athletics,Athletics,50km walk,"LLOPART RIBAS, Jorge",Men,ESP,Spain,M,Silver +Moscow,1980,Athletics,Athletics,shot put,"SCHOKNECHT-SLUPIANEK, Ilona",Women,GDR,East Germany,W,Gold +Moscow,1980,Athletics,Athletics,shot put,"DROESE-PUFE, Margitta",Women,GDR,East Germany,W,Bronze +Moscow,1980,Athletics,Athletics,high jump,"WSZOLA, Jacek",Men,POL,Poland,M,Silver +Moscow,1980,Athletics,Athletics,100m,"LEONARD SARRIA, Silvio",Men,CUB,Cuba,M,Silver +Moscow,1980,Athletics,Athletics,discus throw,"DELIS, Luis",Men,CUB,Cuba,M,Bronze +Moscow,1980,Athletics,Athletics,400m,"MITCHELL, Richard",Men,AUS,Australia,M,Silver +Moscow,1980,Athletics,Athletics,200m,"BOCHINA, Natalia",Women,URS,Soviet Union,W,Silver +Moscow,1980,Athletics,Athletics,4x400m relay,"MENNEA, Pietro",Men,ITA,Italy,M,Bronze +Moscow,1980,Athletics,Athletics,4x100m relay,"ZHARKOVA-MASLAKOVA, Liudmila",Women,URS,Soviet Union,W,Silver +Moscow,1980,Athletics,Athletics,4x400m relay,"GOISHCHIK, Tatiana",Women,URS,Soviet Union,W,Gold +Moscow,1980,Athletics,Athletics,400m,"KOCH, Marita",Women,GDR,East Germany,W,Gold +Moscow,1980,Athletics,Athletics,100m,"AUERSWALD-LANGE, Ingrid",Women,GDR,East Germany,W,Bronze +Moscow,1980,Athletics,Athletics,100m,"PETROV, Peter",Men,BUL,Bulgaria,M,Bronze +Moscow,1980,Athletics,Athletics,4x100m relay,"MÜLLER, Romy",Women,GDR,East Germany,W,Gold +Moscow,1980,Athletics,Athletics,high jump,"SIMEONI, Sara",Women,ITA,Italy,W,Gold +Moscow,1980,Athletics,Athletics,4x400m relay,"ZIUSKOVA, Nina",Women,URS,Soviet Union,W,Gold +Moscow,1980,Athletics,Athletics,4x100m relay,"WORONIN, Marian",Men,POL,Poland,M,Silver +Moscow,1980,Athletics,Athletics,400m,"SCHAFFER, Frank",Men,GDR,East Germany,M,Bronze +Moscow,1980,Athletics,Athletics,200m,"QUARRIE, Donald",Men,JAM,Jamaica,M,Bronze +Moscow,1980,Athletics,Athletics,decathlon,"KUTSENKO, Yuri",Men,URS,Soviet Union,M,Silver +Moscow,1980,Athletics,Athletics,100m hurdles,"KOMISOVA, Vera",Women,URS,Soviet Union,W,Gold +Moscow,1980,Athletics,Athletics,4x100m relay,"AUERSWALD-LANGE, Ingrid",Women,GDR,East Germany,W,Gold +Moscow,1980,Athletics,Athletics,4x400m relay,"HOYTE-SMITH, Joslyn",Women,GBR,United Kingdom,W,Bronze +Moscow,1980,Athletics,Athletics,marathon,"CIERPINSKI, Waldemar",Men,GDR,East Germany,M,Gold +Moscow,1980,Athletics,Athletics,high jump,"FREIMUTH, Jörg",Men,GDR,East Germany,M,Bronze +Moscow,1980,Athletics,Athletics,discus throw,"VERGOVA-PETKOVA, Maria",Women,BUL,Bulgaria,W,Silver +Moscow,1980,Athletics,Athletics,110m hurdles,"PUCHKOV, Aleksandr",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Athletics,Athletics,javelin throw,"HANISCH, Wolfgang",Men,GDR,East Germany,M,Bronze +Moscow,1980,Athletics,Athletics,4x100m relay,"OELSNER-GÖHR, Marlies",Women,GDR,East Germany,W,Gold +Moscow,1980,Athletics,Athletics,high jump,"KIRST, Jutta",Women,GDR,East Germany,W,Bronze +Moscow,1980,Athletics,Athletics,800m,"MINEEVA, Olga",Women,URS,Soviet Union,W,Silver +Moscow,1980,Basketball,Basketball,basketball,"VECCHIATIO, Renzo",Men,ITA,Italy,M,Silver +Moscow,1980,Basketball,Basketball,basketball,"GENERALI, Pietro",Men,ITA,Italy,M,Silver +Moscow,1980,Basketball,Basketball,basketball,"SKROCE, Branko",Men,YUG,Yugoslavia,M,Gold +Moscow,1980,Basketball,Basketball,basketball,"BECIRSPAHIC, Mersada",Women,YUG,Yugoslavia,W,Bronze +Moscow,1980,Basketball,Basketball,basketball,"IVINSKAIA, Tatiana",Women,URS,Soviet Union,W,Gold +Moscow,1980,Basketball,Basketball,basketball,"OVECHKINA, Tatiana",Women,URS,Soviet Union,W,Gold +Moscow,1980,Basketball,Basketball,basketball,"SALNIKOV, Aleksandr",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Basketball,Basketball,basketball,"BJEDOV, Mira",Women,YUG,Yugoslavia,W,Bronze +Moscow,1980,Basketball,Basketball,basketball,"TKACHENKO, Vladimir",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Basketball,Basketball,basketball,"DERMENDJIEVA, Vania",Women,BUL,Bulgaria,W,Silver +Moscow,1980,Basketball,Basketball,basketball,"STOYANOVA, Penka",Women,BUL,Bulgaria,W,Silver +Moscow,1980,Basketball,Basketball,basketball,"BONAMICO, Marco",Men,ITA,Italy,M,Silver +Moscow,1980,Basketball,Basketball,basketball,"MILOSERDOV, Valeri",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Basketball,Basketball,basketball,"MAKAVEEVA, Petkana",Women,BUL,Bulgaria,W,Silver +Moscow,1980,Basketball,Basketball,basketball,"SHARMAI, Liubov",Women,URS,Soviet Union,W,Gold +Moscow,1980,Basketball,Basketball,basketball,"BESSELENE, Vida",Women,URS,Soviet Union,W,Gold +Moscow,1980,Basketball,Basketball,basketball,"SUKHARNOVA, Olga",Women,URS,Soviet Union,W,Gold +Moscow,1980,Basketball,Basketball,basketball,"EREMIN, Stanislav",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Basketball,Basketball,basketball,"MYSHKIN, Anatoli",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Basketball,Basketball,basketball,"KNEGO, Andro",Men,YUG,Yugoslavia,M,Gold +Moscow,1980,Basketball,Basketball,basketball,"SLAVTCHEVA-STEFANOVA, Evladia",Women,BUL,Bulgaria,W,Silver +Moscow,1980,Basketball,Basketball,basketball,"JERKOV, Zeljko",Men,YUG,Yugoslavia,M,Gold +Moscow,1980,Basketball,Basketball,basketball,"FERYABNIKOVA, Nelli",Women,URS,Soviet Union,W,Gold +Moscow,1980,Basketball,Basketball,basketball,"MARZORATI, Pierluigi",Men,ITA,Italy,M,Silver +Moscow,1980,Basketball,Basketball,basketball,"GILARDI, Enrico",Men,ITA,Italy,M,Silver +Moscow,1980,Basketball,Basketball,basketball,"SLAVNIC, Zoran",Men,YUG,Yugoslavia,M,Gold +Moscow,1980,Basketball,Basketball,basketball,"BARISHEVA-KOROSTELEVA, Olga",Women,URS,Soviet Union,W,Gold +Moscow,1980,Basketball,Basketball,basketball,"KRSTULOVIC, Duje",Men,YUG,Yugoslavia,M,Gold +Moscow,1980,Basketball,Basketball,basketball,"BRUNAMONTI, Roberto",Men,ITA,Italy,M,Silver +Moscow,1980,Basketball,Basketball,basketball,"MIKHAILOVA, Snezhana",Women,BUL,Bulgaria,W,Silver +Moscow,1980,Basketball,Basketball,basketball,"KICANOVIC, Dragan",Men,YUG,Yugoslavia,M,Gold +Moscow,1980,Basketball,Basketball,basketball,"DELLA FIORI, Fabrizio",Men,ITA,Italy,M,Silver +Moscow,1980,Basketball,Basketball,basketball,"BELOSTENNYI, Aleksandr",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Basketball,Basketball,basketball,"DELIBASIC, Mirza",Men,YUG,Yugoslavia,M,Gold +Moscow,1980,Basketball,Basketball,basketball,"KOMNENOVIC, Jelica",Women,YUG,Yugoslavia,W,Bronze +Moscow,1980,Basketball,Basketball,basketball,"METODIEVA, Penka",Women,BUL,Bulgaria,W,Silver +Moscow,1980,Basketball,Basketball,basketball,"RADKOVA, Kostadinka",Women,BUL,Bulgaria,W,Silver +Moscow,1980,Basketball,Basketball,basketball,"MIKHAILOVA, Angelina",Women,BUL,Bulgaria,W,Silver +Moscow,1980,Basketball,Basketball,basketball,"SEMENOVA, Iuliana",Women,URS,Soviet Union,W,Gold +Moscow,1980,Basketball,Basketball,basketball,"IOVAISHA, Sergei",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Basketball,Basketball,basketball,"VILLALTA, Renato",Men,ITA,Italy,M,Silver +Moscow,1980,Basketball,Basketball,basketball,"SOLFRINI, Marco",Men,ITA,Italy,M,Silver +Moscow,1980,Basketball,Basketball,basketball,"BOGDANOVA, Krasimira",Women,BUL,Bulgaria,W,Silver +Moscow,1980,Basketball,Basketball,basketball,"RADOVANOVIC, Ratko",Men,YUG,Yugoslavia,M,Gold +Moscow,1980,Basketball,Basketball,basketball,"ZAKHAROVA-NADIROVA, Tatiana",Women,URS,Soviet Union,W,Gold +Moscow,1980,Basketball,Basketball,basketball,"BRAINOVA, Diana",Women,BUL,Bulgaria,W,Silver +Moscow,1980,Basketball,Basketball,basketball,"TARAKANOV, Sergei",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Basketball,Basketball,basketball,"DJURASKOVIC, Vera",Women,YUG,Yugoslavia,W,Bronze +Moscow,1980,Basketball,Basketball,basketball,"GERMANOVA, Silvia",Women,BUL,Bulgaria,W,Silver +Moscow,1980,Basketball,Basketball,basketball,"DJURKOVIC, Zorica",Women,YUG,Yugoslavia,W,Bronze +Moscow,1980,Basketball,Basketball,basketball,"TONKOVIC, Marija",Women,YUG,Yugoslavia,W,Bronze +Moscow,1980,Basketball,Basketball,basketball,"MENEGHIN, Dino",Men,ITA,Italy,M,Silver +Moscow,1980,Basketball,Basketball,basketball,"PERAZIC, Jasmina",Women,YUG,Yugoslavia,W,Bronze +Moscow,1980,Basketball,Basketball,basketball,"LOPATOV, Andrei",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Basketball,Basketball,basketball,"ROGOZHINA, Liudmila",Women,URS,Soviet Union,W,Gold +Moscow,1980,Basketball,Basketball,basketball,"SACCHETTI, Romeo",Men,ITA,Italy,M,Silver +Moscow,1980,Basketball,Basketball,basketball,"RUPSHENE, Angelia",Women,URS,Soviet Union,W,Gold +Moscow,1980,Basketball,Basketball,basketball,"COSIC, Kresimir",Men,YUG,Yugoslavia,M,Gold +Moscow,1980,Basketball,Basketball,basketball,"GOLTCHEVA, Nadka",Women,BUL,Bulgaria,W,Silver +Moscow,1980,Basketball,Basketball,basketball,"ZHIGILY, Vladimir",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Basketball,Basketball,basketball,"MITIC, Vukica",Women,YUG,Yugoslavia,W,Bronze +Moscow,1980,Basketball,Basketball,basketball,"DERIUGIN, Nikolai",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Basketball,Basketball,basketball,"DALIPAGIC, Drazen",Men,YUG,Yugoslavia,M,Gold +Moscow,1980,Basketball,Basketball,basketball,"NAKIC-VOJNOVIC, Mihovil",Men,YUG,Yugoslavia,M,Gold +Moscow,1980,Basketball,Basketball,basketball,"ZIZIC, Rajko",Men,YUG,Yugoslavia,M,Gold +Moscow,1980,Basketball,Basketball,basketball,"MAJSTOROVIC, Biljana",Women,YUG,Yugoslavia,W,Bronze +Moscow,1980,Basketball,Basketball,basketball,"PEKIC, Sofija",Women,YUG,Yugoslavia,W,Bronze +Moscow,1980,Basketball,Basketball,basketball,"BELOV, Sergei",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Basketball,Basketball,basketball,"SYLVESTER, Michael",Men,ITA,Italy,M,Silver +Moscow,1980,Basketball,Basketball,basketball,"OZEGOVIC, Sanja",Women,YUG,Yugoslavia,W,Bronze +Moscow,1980,Basketball,Basketball,basketball,"SHUVAEVA-OLKHOVA, Nadezhda",Women,URS,Soviet Union,W,Gold +Moscow,1980,Basketball,Basketball,basketball,"DESPOTOVIC, Vesna",Women,YUG,Yugoslavia,W,Bronze +Moscow,1980,Boxing,Boxing,60 - 63.5kg (light-welterweight),"OLIVA, Patrizio",Men,ITA,Italy,M,Gold +Moscow,1980,Boxing,Boxing,75 - 81kg (light-heavyweight),"ROJAS, Ricardo",Men,CUB,Cuba,M,Bronze +Moscow,1980,Boxing,Boxing,- 48kg (light-flyweight),"LI, Byong Uk",Men,PRK,"Korea, North",M,Bronze +Moscow,1980,Boxing,Boxing,57 - 60kg (lightweight),"ADACH, Kazimierz",Men,POL,Poland,M,Bronze +Moscow,1980,Boxing,Boxing,- 48kg (light-flyweight),"MUSTAFOV, Ismail",Men,BUL,Bulgaria,M,Bronze +Moscow,1980,Boxing,Boxing,54 - 57kg (featherweight),"FINK, Rudi",Men,GDR,East Germany,M,Gold +Moscow,1980,Boxing,Boxing,51 - 54kg (bantamweight),"HERNANDEZ, Juan",Men,CUB,Cuba,M,Gold +Moscow,1980,Boxing,Boxing,51 - 54kg (bantamweight),"ANTHONY, Michael",Men,GUY,Guyana,M,Bronze +Moscow,1980,Boxing,Boxing,67 - 71kg (light-middleweight),"MARTINEZ, Armando",Men,CUB,Cuba,M,Gold +Moscow,1980,Boxing,Boxing,63.5 - 67kg (welterweight),"SZCZERBA, Kazimierz",Men,POL,Poland,M,Bronze +Moscow,1980,Boxing,Boxing,48 - 51kg (flyweight),"VARADI, Janos",Men,HUN,Hungary,M,Bronze +Moscow,1980,Boxing,Boxing,60 - 63.5kg (light-welterweight),"KONAKBAEV, Serik",Men,URS,Soviet Union,M,Silver +Moscow,1980,Boxing,Boxing,60 - 63.5kg (light-welterweight),"WILLIS, Anthony",Men,GBR,United Kingdom,M,Bronze +Moscow,1980,Boxing,Boxing,54 - 57kg (featherweight),"KOSEDOWSKI, Krzysztof",Men,POL,Poland,M,Bronze +Moscow,1980,Boxing,Boxing,51 - 54kg (bantamweight),"PINANGO, Bernardo Jose",Men,VEN,Venezuela,M,Silver +Moscow,1980,Boxing,Boxing,+ 81kg (heavyweight),"STEVENSON, Teofilo",Men,CUB,Cuba,M,Gold +Moscow,1980,Boxing,Boxing,67 - 71kg (light-middleweight),"FRANEK, Jan",Men,TCH,Czechoslovakia,M,Bronze +Moscow,1980,Boxing,Boxing,54 - 57kg (featherweight),"HORTA, Adolfo",Men,CUB,Cuba,M,Silver +Moscow,1980,Boxing,Boxing,67 - 71kg (light-middleweight),"KÄSTNER, Detlef",Men,GDR,East Germany,M,Bronze +Moscow,1980,Boxing,Boxing,57 - 60kg (lightweight),"NOWAKOWSKI, Richard",Men,GDR,East Germany,M,Bronze +Moscow,1980,Boxing,Boxing,57 - 60kg (lightweight),"DEMIANENKO, Viktor",Men,URS,Soviet Union,M,Silver +Moscow,1980,Boxing,Boxing,+ 81kg (heavyweight),"FANGHÄNEL, Jürgen",Men,GDR,East Germany,M,Bronze +Moscow,1980,Boxing,Boxing,48 - 51kg (flyweight),"LESOV, Petr",Men,BUL,Bulgaria,M,Gold +Moscow,1980,Boxing,Boxing,67 - 71kg (light-middleweight),"KOSHKIN, Aleksandr",Men,URS,Soviet Union,M,Silver +Moscow,1980,Boxing,Boxing,63.5 - 67kg (welterweight),"MUGABI, John",Men,UGA,Uganda,M,Silver +Moscow,1980,Boxing,Boxing,51 - 54kg (bantamweight),"CIPERE, Dumitru",Men,ROU,Romania,M,Bronze +Moscow,1980,Boxing,Boxing,71-75kg,"SILAGHI, Valentin",Men,ROU,Romania,M,Bronze +Moscow,1980,Boxing,Boxing,75 - 81kg (light-heavyweight),"BAUCH, Herbert",Men,GDR,East Germany,M,Bronze +Moscow,1980,Boxing,Boxing,+ 81kg (heavyweight),"ZAEV, Piotr",Men,URS,Soviet Union,M,Silver +Moscow,1980,Boxing,Boxing,+ 81kg (heavyweight),"LEVAI, Istvan",Men,HUN,Hungary,M,Bronze +Moscow,1980,Boxing,Boxing,71-75kg,"SAVCHENKO, Viktor",Men,URS,Soviet Union,M,Silver +Moscow,1980,Boxing,Boxing,- 48kg (light-flyweight),"RAMOS, Hipolito",Men,CUB,Cuba,M,Silver +Moscow,1980,Boxing,Boxing,71-75kg,"GOMEZ, Jose",Men,CUB,Cuba,M,Gold +Moscow,1980,Boxing,Boxing,60 - 63.5kg (light-welterweight),"AGUILAR, Jose",Men,CUB,Cuba,M,Bronze +Moscow,1980,Boxing,Boxing,75 - 81kg (light-heavyweight),"KACAR, Slobodan",Men,YUG,Yugoslavia,M,Gold +Moscow,1980,Boxing,Boxing,48 - 51kg (flyweight),"MIROSHNICHENKO, Viktor",Men,URS,Soviet Union,M,Silver +Moscow,1980,Boxing,Boxing,57 - 60kg (lightweight),"HERRERA VERA, Angel",Men,CUB,Cuba,M,Gold +Moscow,1980,Boxing,Boxing,63.5 - 67kg (welterweight),"ALDAMA CABRERA, Andres",Men,CUB,Cuba,M,Gold +Moscow,1980,Boxing,Boxing,63.5 - 67kg (welterweight),"KRÜGER, Karl-Heinz",Men,GDR,East Germany,M,Bronze +Moscow,1980,Boxing,Boxing,54 - 57kg (featherweight),"RYBAKOV, Viktor",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Boxing,Boxing,71-75kg,"RYBICKI, Jerzy",Men,POL,Poland,M,Bronze +Moscow,1980,Boxing,Boxing,75 - 81kg (light-heavyweight),"SKRZECZ, Pawel",Men,POL,Poland,M,Silver +Moscow,1980,Boxing,Boxing,- 48kg (light-flyweight),"SABIROV, Shamil",Men,URS,Soviet Union,M,Gold +Moscow,1980,Boxing,Boxing,48 - 51kg (flyweight),"RUSSELL, Hugh",Men,IRL,Ireland,M,Bronze +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"PATZAICHIN, Ivan",Men,ROU,Romania,M,Gold +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"MELNIKOVA, Antonina",Women,URS,Soviet Union,W,Bronze +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"SZABO, Istvan",Men,HUN,Hungary,M,Silver +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"VASKUTI, Istvan",Men,HUN,Hungary,M,Gold +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"RAMOS MISIONE, Luis Gregorio",Men,ESP,Spain,M,Bronze +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"PARFENOVICH, Vladimir",Men,URS,Soviet Union,M,Gold +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,C-1 1000m (canoe single),"POSTREKHIN, Sergei",Men,URS,Soviet Union,M,Silver +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,C-1 500m (canoe single),"HEUKRODT, Olaf",Men,GDR,East Germany,M,Bronze +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"DIBA, Vasile",Men,ROU,Romania,M,Bronze +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"BORISOV, Borislav",Men,BUL,Bulgaria,M,Bronze +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,C-1 500m (canoe single),"POSTREKHIN, Sergei",Men,URS,Soviet Union,M,Gold +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"MARG, Harald",Men,GDR,East Germany,M,Gold +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"FISCHER, Birgit",Women,GDR,East Germany,W,Gold +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"LOBANOV, Yuri",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"CHUKHRAI, Sergei",Men,URS,Soviet Union,M,Gold +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"MENENDEZ RODRIGUEZ, Herminio",Men,ESP,Spain,M,Silver +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"CHUKHRAI, Sergei",Men,URS,Soviet Union,M,Gold +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"DIBA, Vasile",Men,ROU,Romania,M,Silver +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"SUMEGI, John",Men,AUS,Australia,M,Silver +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"MENENDEZ RODRIGUEZ, Herminio",Men,ESP,Spain,M,Bronze +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"ILKOV, Nikolai",Men,BUL,Bulgaria,M,Bronze +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,K-1 1000m (kayak single),"BIRLADEANU, Ion",Men,ROU,Romania,M,Bronze +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,C-1 500m (canoe single),"LIUBENOV, Liubomir",Men,BUL,Bulgaria,M,Silver +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"GOPOVA-TROFIMOVA, Nina",Women,URS,Soviet Union,W,Silver +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"KHRISTOV, Lazar",Men,BUL,Bulgaria,M,Bronze +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"ZAKARIAS, Maria",Women,HUN,Hungary,W,Bronze +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"YURCHENKO, Vasili",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"ZAFIU, Mihai",Men,ROU,Romania,M,Silver +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"OLBRICHT, Bernd",Men,GDR,East Germany,M,Gold +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"OLBRICHT, Bernd",Men,GDR,East Germany,M,Bronze +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"FOLTAN, Laszlo",Men,HUN,Hungary,M,Gold +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"PARFENOVICH, Vladimir",Men,URS,Soviet Union,M,Gold +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"CAPUSTA, Petre",Men,ROU,Romania,M,Silver +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"DUVIGNEAU, Bernd",Men,GDR,East Germany,M,Gold +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"PARFENOVICH, Vladimir",Men,URS,Soviet Union,M,Gold +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"MILENKOV, Bojiar",Men,BUL,Bulgaria,M,Bronze +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"HEUKRODT, Olaf",Men,GDR,East Germany,M,Silver +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,C-1 1000m (canoe single),"LEUE, Eckhard",Men,GDR,East Germany,M,Bronze +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"GENÄUSS, Carsta",Women,GDR,East Germany,W,Gold +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,C-1 1000m (canoe single),"LIUBENOV, Liubomir",Men,BUL,Bulgaria,M,Gold +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,K-1 1000m (kayak single),"HELM, Rüdiger",Men,GDR,East Germany,M,Gold +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"SIMIONOV, Toma",Men,ROU,Romania,M,Gold +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"ESEANU, Nicusor",Men,ROU,Romania,M,Silver +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"KREFT-ALEKSEEVA, Galina",Women,URS,Soviet Union,W,Silver +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"ANANIEV, Borislav",Men,BUL,Bulgaria,M,Bronze +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"HELM, Rüdiger",Men,GDR,East Germany,M,Gold +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"JOOS, Istvan",Men,HUN,Hungary,M,Silver +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,K-1 1000m (kayak single),"LEBAS, Alain",Men,FRA,France,M,Silver +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"MADEJA, Uwe",Men,GDR,East Germany,M,Silver +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"GESHEVA, Vania",Women,BUL,Bulgaria,W,Silver +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"HELM, Rüdiger",Men,GDR,East Germany,M,Bronze +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"GEANTA, Ion",Men,ROU,Romania,M,Silver +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"DEL RIEGO GORDON, Guillermo",Men,ESP,Spain,M,Silver +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"RAKUSZ, Eva",Women,HUN,Hungary,W,Bronze +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"PATZAICHIN, Ivan",Men,ROU,Romania,M,Silver +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"MANEV, Ivan",Men,BUL,Bulgaria,M,Bronze +Moscow,1980,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"BISCHOF, Martina",Women,GDR,East Germany,W,Gold +Moscow,1980,Cycling,Cycling Road,team time trial,"KASHIRIN, Yuri",Men,URS,Soviet Union,M,Gold +Moscow,1980,Cycling,Cycling Road,team time trial,"SKODA, Jiri",Men,TCH,Czechoslovakia,M,Bronze +Moscow,1980,Cycling,Cycling Road,team time trial,"LOGVIN, Oleg",Men,URS,Soviet Union,M,Gold +Moscow,1980,Cycling,Cycling Road,individual road race,"SUKHORUCHENKOV, Sergei",Men,URS,Soviet Union,M,Gold +Moscow,1980,Cycling,Cycling Road,team time trial,"YARKIN, Anatoli",Men,URS,Soviet Union,M,Gold +Moscow,1980,Cycling,Cycling Road,individual road race,"BARINOV, Yuri",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Cycling,Cycling Road,team time trial,"DROGAN, Bernd",Men,GDR,East Germany,M,Silver +Moscow,1980,Cycling,Cycling Road,team time trial,"KLASA, Michal",Men,TCH,Czechoslovakia,M,Bronze +Moscow,1980,Cycling,Cycling Road,team time trial,"LUDWIG, Olaf",Men,GDR,East Germany,M,Silver +Moscow,1980,Cycling,Cycling Road,team time trial,"SHELPAKOV, Sergei",Men,URS,Soviet Union,M,Gold +Moscow,1980,Cycling,Cycling Road,team time trial,"HARTNICK, Hans-Joachim",Men,GDR,East Germany,M,Silver +Moscow,1980,Cycling,Cycling Road,team time trial,"BODEN, Falk",Men,GDR,East Germany,M,Silver +Moscow,1980,Cycling,Cycling Road,team time trial,"KONECNY, Vlastibor",Men,TCH,Czechoslovakia,M,Bronze +Moscow,1980,Cycling,Cycling Road,individual road race,"LANG, Stanislaw",Men,POL,Poland,M,Silver +Moscow,1980,Cycling,Cycling Road,team time trial,"KOSTADINOV, Alipi",Men,TCH,Czechoslovakia,M,Bronze +Moscow,1980,Cycling,Cycling Track,Individual Pursuit,"BONDUE, Alain",Men,FRA,France,M,Silver +Moscow,1980,Cycling,Cycling Track,Sprint indivual,"HESSLICH, Lutz",Men,GDR,East Germany,M,Gold +Moscow,1980,Cycling,Cycling Track,1km time trial,"WELLER, David",Men,JAM,Jamaica,M,Bronze +Moscow,1980,Cycling,Cycling Track,Sprint indivual,"CAHARD, Yave",Men,FRA,France,M,Silver +Moscow,1980,Cycling,Cycling Track,Team Pursuit (4000m),"POKORNY, Jiri",Men,TCH,Czechoslovakia,M,Bronze +Moscow,1980,Cycling,Cycling Track,Team Pursuit (4000m),"UNTERWALDER, Uwe",Men,GDR,East Germany,M,Silver +Moscow,1980,Cycling,Cycling Track,Team Pursuit (4000m),"WINKLER, Volker",Men,GDR,East Germany,M,Silver +Moscow,1980,Cycling,Cycling Track,Team Pursuit (4000m),"OSOKIN, Vladimir",Men,URS,Soviet Union,M,Gold +Moscow,1980,Cycling,Cycling Track,Team Pursuit (4000m),"MORTAG, Gerald",Men,GDR,East Germany,M,Silver +Moscow,1980,Cycling,Cycling Track,Individual Pursuit,"ÖRSTED, Hans-Henrik",Men,DEN,Denmark,M,Bronze +Moscow,1980,Cycling,Cycling Track,1km time trial,"PANFILOV, Aleksandr",Men,URS,Soviet Union,M,Silver +Moscow,1980,Cycling,Cycling Track,Team Pursuit (4000m),"MANAKOV, Viktor",Men,URS,Soviet Union,M,Gold +Moscow,1980,Cycling,Cycling Track,Team Pursuit (4000m),"PENC, Martin",Men,TCH,Czechoslovakia,M,Bronze +Moscow,1980,Cycling,Cycling Track,Team Pursuit (4000m),"PETRAKOV, Vitali",Men,URS,Soviet Union,M,Gold +Moscow,1980,Cycling,Cycling Track,Team Pursuit (4000m),"MOVCHAN, Valeri",Men,URS,Soviet Union,M,Gold +Moscow,1980,Cycling,Cycling Track,1km time trial,"THOMS, Lothar",Men,GDR,East Germany,M,Gold +Moscow,1980,Cycling,Cycling Track,Individual Pursuit,"DILL-BUNDI, Robert",Men,SUI,Switzerland,M,Gold +Moscow,1980,Cycling,Cycling Track,Sprint indivual,"KOPYLOV, Sergei",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Cycling,Cycling Track,Team Pursuit (4000m),"WIEGAND, Matthias",Men,GDR,East Germany,M,Silver +Moscow,1980,Cycling,Cycling Track,Team Pursuit (4000m),"SLAMA, Igor",Men,TCH,Czechoslovakia,M,Bronze +Moscow,1980,Cycling,Cycling Track,Team Pursuit (4000m),"CERNY, Teodor",Men,TCH,Czechoslovakia,M,Bronze +Moscow,1980,Equestrian,Dressage,team,PLOT,Men,URS,Soviet Union,X,Gold +Moscow,1980,Equestrian,Dressage,team,"GADZHEV, Georgi",Men,BUL,Bulgaria,X,Silver +Moscow,1980,Equestrian,Dressage,team,DERBIST,Men,ROU,Romania,X,Bronze +Moscow,1980,Equestrian,Dressage,individual,"THEURER-MAX, Elisabeth",Women,AUT,Austria,X,Gold +Moscow,1980,Equestrian,Dressage,team,IGROK,Men,URS,Soviet Union,X,Gold +Moscow,1980,Equestrian,Dressage,team,ALEKO,Men,BUL,Bulgaria,X,Silver +Moscow,1980,Equestrian,Dressage,team,"VELIKU, Dumitru",Men,ROU,Romania,X,Bronze +Moscow,1980,Equestrian,Dressage,individual,"KOVSHOV, Yuri",Men,URS,Soviet Union,X,Silver +Moscow,1980,Equestrian,Dressage,team,"MISEVICH, Vera",Women,URS,Soviet Union,X,Gold +Moscow,1980,Equestrian,Dressage,team,SCHIBOR,Men,BUL,Bulgaria,X,Silver +Moscow,1980,Equestrian,Dressage,individual,IGROK,Men,URS,Soviet Union,X,Silver +Moscow,1980,Equestrian,Dressage,team,"KOVSHOV, Yuri",Men,URS,Soviet Union,X,Gold +Moscow,1980,Equestrian,Dressage,team,"MANDADZHIEV, Petr",Men,BUL,Bulgaria,X,Silver +Moscow,1980,Equestrian,Dressage,team,DECEBAL,Men,ROU,Romania,X,Bronze +Moscow,1980,Equestrian,Dressage,team,"UGRYUMOV, Viktor",Men,URS,Soviet Union,X,Gold +Moscow,1980,Equestrian,Dressage,individual,"UGRYUMOV, Viktor",Men,URS,Soviet Union,X,Bronze +Moscow,1980,Equestrian,Dressage,team,"ROSCA, Petre",Men,ROU,Romania,X,Bronze +Moscow,1980,Equestrian,Dressage,team,"IVANOV, Svetoslav",Men,BUL,Bulgaria,X,Silver +Moscow,1980,Equestrian,Dressage,team,"DONESCU, Anghelache",Men,ROU,Romania,X,Bronze +Moscow,1980,Equestrian,Eventing,team,"SCIOCCHETTI, Marina",Women,ITA,Italy,X,Silver +Moscow,1980,Equestrian,Eventing,individual,PINTSET,Men,URS,Soviet Union,X,Bronze +Moscow,1980,Equestrian,Eventing,team,"ROMAN, Mauro",Men,ITA,Italy,X,Silver +Moscow,1980,Equestrian,Eventing,individual,GALZUN,Men,URS,Soviet Union,X,Silver +Moscow,1980,Equestrian,Eventing,team,"BLINOV, Aleksandr",Men,URS,Soviet Union,X,Gold +Moscow,1980,Equestrian,Eventing,team,"PEREZ SOTO, Soto Jose Luis",Men,MEX,Mexico,X,Bronze +Moscow,1980,Equestrian,Eventing,team,GELESPONT,Men,URS,Soviet Union,X,Gold +Moscow,1980,Equestrian,Eventing,team,PINTSET,Men,URS,Soviet Union,X,Gold +Moscow,1980,Equestrian,Eventing,team,"SALNIKOV, Yuri",Men,URS,Soviet Union,X,Gold +Moscow,1980,Equestrian,Eventing,team,BOMBONA,Women,MEX,Mexico,X,Bronze +Moscow,1980,Equestrian,Eventing,individual,"SALNIKOV, Yuri",Men,URS,Soviet Union,X,Bronze +Moscow,1980,Equestrian,Eventing,team,"VOLKOV, Valeri",Men,URS,Soviet Union,X,Gold +Moscow,1980,Equestrian,Eventing,team,"MENDIVIL YOCUPICIO, Manuel",Men,MEX,Mexico,X,Bronze +Moscow,1980,Equestrian,Eventing,team,"VAZQUEZ, Fabian",Men,MEX,Mexico,X,Bronze +Moscow,1980,Equestrian,Eventing,team,"ROMAN, Federico Euro",Men,ITA,Italy,X,Silver +Moscow,1980,Equestrian,Eventing,individual,"BLINOV, Aleksandr",Men,URS,Soviet Union,X,Silver +Moscow,1980,Equestrian,Eventing,team,"ROGOZHIN, Sergei",Men,URS,Soviet Union,X,Gold +Moscow,1980,Equestrian,Eventing,team,GALZUN,Men,URS,Soviet Union,X,Gold +Moscow,1980,Equestrian,Eventing,team,"CASAGRANDE, Anna",Women,ITA,Italy,X,Silver +Moscow,1980,Equestrian,Eventing,team,"BARCENA RIOS, David",Men,MEX,Mexico,X,Bronze +Moscow,1980,Equestrian,Eventing,individual,"ROMAN, Federico Euro",Men,ITA,Italy,X,Gold +Moscow,1980,Equestrian,Eventing,team,TSKHETI,Men,URS,Soviet Union,X,Gold +Moscow,1980,Equestrian,Jumping,individual,ESPADRON,Men,URS,Soviet Union,X,Silver +Moscow,1980,Equestrian,Jumping,team,"KOWALCZYK, Jan",Men,POL,Poland,X,Silver +Moscow,1980,Equestrian,Jumping,team,"HARTMAN, Wieslaw",Men,POL,Poland,X,Silver +Moscow,1980,Equestrian,Jumping,team,"KOZICKI, Marian",Men,POL,Poland,X,Silver +Moscow,1980,Equestrian,Jumping,team,GEPATIT,Men,URS,Soviet Union,X,Gold +Moscow,1980,Equestrian,Jumping,team,"BOBIK, Janusz",Men,POL,Poland,X,Silver +Moscow,1980,Equestrian,Jumping,team,REIS,Men,URS,Soviet Union,X,Gold +Moscow,1980,Equestrian,Jumping,team,"ASMAEV, Viktor",Men,URS,Soviet Union,X,Gold +Moscow,1980,Equestrian,Jumping,team,"CHUKANOV, Viacheslav",Men,URS,Soviet Union,X,Gold +Moscow,1980,Equestrian,Jumping,individual,"KOROLKOV, Nikolai",Men,URS,Soviet Union,X,Silver +Moscow,1980,Equestrian,Jumping,individual,"PEREZ DE LA HERAS, Joaquin",Men,MEX,Mexico,X,Bronze +Moscow,1980,Equestrian,Jumping,team,"GOMEZ PORTUGAL, Jesus",Men,MEX,Mexico,X,Bronze +Moscow,1980,Equestrian,Jumping,team,"PEREZ DE LA HERAS, Joaquin",Men,MEX,Mexico,X,Bronze +Moscow,1980,Equestrian,Jumping,team,LADY MIRKA,Women,MEX,Mexico,X,Bronze +Moscow,1980,Equestrian,Jumping,team,ESPADRON,Men,URS,Soviet Union,X,Gold +Moscow,1980,Equestrian,Jumping,team,"KOROLKOV, Nikolai",Men,URS,Soviet Union,X,Gold +Moscow,1980,Equestrian,Jumping,team,"TAZZER VALENCIA, Valencia Gerardo",Men,MEX,Mexico,X,Bronze +Moscow,1980,Equestrian,Jumping,individual,"KOWALCZYK, Jan",Men,POL,Poland,X,Gold +Moscow,1980,Equestrian,Jumping,team,TOPKI,Men,URS,Soviet Union,X,Gold +Moscow,1980,Equestrian,Jumping,team,"POGANOVSKI, Viktor",Men,URS,Soviet Union,X,Gold +Moscow,1980,Equestrian,Jumping,team,"VALDES LACARRA, Alberto",Men,MEX,Mexico,X,Bronze +Moscow,1980,Fencing,Fencing,sabre team,"SIDYAK, Viktor",Men,URS,Soviet Union,M,Gold +Moscow,1980,Fencing,Fencing,foil individual,"ROMANKOV, Aleksander",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Fencing,Fencing,foil team,"GILIAZOVA, Nailia",Women,URS,Soviet Union,W,Silver +Moscow,1980,Fencing,Fencing,sabre team,"NEBALD, György",Men,HUN,Hungary,M,Bronze +Moscow,1980,Fencing,Fencing,sabre individual,"KROVOPUSKOV, Viktor",Men,URS,Soviet Union,M,Gold +Moscow,1980,Fencing,Fencing,sabre team,"ROMANO, Marco",Men,ITA,Italy,M,Silver +Moscow,1980,Fencing,Fencing,foil individual,"WYSOCZANSKA, Barbara",Women,POL,Poland,W,Bronze +Moscow,1980,Fencing,Fencing,épée team,"KARAGIAN, Ashot",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Fencing,Fencing,épée team,"GARDAS, Hubert",Men,FRA,France,M,Gold +Moscow,1980,Fencing,Fencing,sabre team,"SCALZO, Giovanni",Men,ITA,Italy,M,Silver +Moscow,1980,Fencing,Fencing,foil team,"BOSCHERIE, Bruno",Men,FRA,France,M,Gold +Moscow,1980,Fencing,Fencing,foil team,"KOVACS, Edit",Women,HUN,Hungary,W,Bronze +Moscow,1980,Fencing,Fencing,foil team,"STEFANEK, Gertrud",Women,HUN,Hungary,W,Bronze +Moscow,1980,Fencing,Fencing,foil team,"PIETRUSZKA, Frederic",Men,FRA,France,M,Gold +Moscow,1980,Fencing,Fencing,épée team,"BOISSE, Philippe",Men,FRA,France,M,Gold +Moscow,1980,Fencing,Fencing,foil team,"BEGARD, Isabelle",Women,FRA,France,W,Gold +Moscow,1980,Fencing,Fencing,sabre team,"KROVOPUSKOV, Viktor",Men,URS,Soviet Union,M,Gold +Moscow,1980,Fencing,Fencing,foil team,"SCHWARCZENBERGER, Ildiko",Women,HUN,Hungary,W,Bronze +Moscow,1980,Fencing,Fencing,sabre team,"GEREVICH, Pal",Men,HUN,Hungary,M,Bronze +Moscow,1980,Fencing,Fencing,épée team,"LUKOMSKY, Boris",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Fencing,Fencing,foil team,"JOLYOT, Pascal",Men,FRA,France,M,Gold +Moscow,1980,Fencing,Fencing,sabre team,"MEGLIO, Ferdinando",Men,ITA,Italy,M,Silver +Moscow,1980,Fencing,Fencing,épée team,"RIBOUD, Philippe",Men,FRA,France,M,Gold +Moscow,1980,Fencing,Fencing,foil individual,"SMIRNOV, Vladimir",Men,URS,Soviet Union,M,Gold +Moscow,1980,Fencing,Fencing,épée team,"PICOT, Patrick",Men,FRA,France,M,Gold +Moscow,1980,Fencing,Fencing,foil team,"ROMANKOV, Aleksander",Men,URS,Soviet Union,M,Silver +Moscow,1980,Fencing,Fencing,foil team,"ROBAK, Adam",Men,POL,Poland,M,Bronze +Moscow,1980,Fencing,Fencing,foil team,"FLAMENT, Didier",Men,FRA,France,M,Gold +Moscow,1980,Fencing,Fencing,foil team,"TSAGARAEVA, Larisa",Women,URS,Soviet Union,W,Silver +Moscow,1980,Fencing,Fencing,foil individual,"JOLYOT, Pascal",Men,FRA,France,M,Silver +Moscow,1980,Fencing,Fencing,foil team,"LATRILLE-GAUDIN, Brigitte",Women,FRA,France,W,Gold +Moscow,1980,Fencing,Fencing,foil team,"RUZIEV, Sabirzhan",Men,URS,Soviet Union,M,Silver +Moscow,1980,Fencing,Fencing,sabre team,"MAFFEI, Michele",Men,ITA,Italy,M,Silver +Moscow,1980,Fencing,Fencing,foil team,"LAPITSKI, Vladimir",Men,URS,Soviet Union,M,Silver +Moscow,1980,Fencing,Fencing,foil team,"SMIRNOV, Vladimir",Men,URS,Soviet Union,M,Silver +Moscow,1980,Fencing,Fencing,épée individual,"RIBOUD, Philippe",Men,FRA,France,M,Bronze +Moscow,1980,Fencing,Fencing,sabre team,"BURTSEV, Mikhail",Men,URS,Soviet Union,M,Gold +Moscow,1980,Fencing,Fencing,foil team,"KARAGIAN, Ashot",Men,URS,Soviet Union,M,Silver +Moscow,1980,Fencing,Fencing,épée individual,"KOLSZONAY, Ernö",Men,HUN,Hungary,M,Silver +Moscow,1980,Fencing,Fencing,sabre individual,"BURTSEV, Mikhail",Men,URS,Soviet Union,M,Silver +Moscow,1980,Fencing,Fencing,foil team,"MAROS, Magda",Women,HUN,Hungary,W,Bronze +Moscow,1980,Fencing,Fencing,foil individual,"MAROS, Magda",Women,HUN,Hungary,W,Silver +Moscow,1980,Fencing,Fencing,foil team,"BROUQUIER, Veronique",Women,FRA,France,W,Gold +Moscow,1980,Fencing,Fencing,épée individual,"HARMENBERG, Johan",Men,SWE,Sweden,M,Gold +Moscow,1980,Fencing,Fencing,foil team,"NOVIKOVA-BELOVA, Elena",Women,URS,Soviet Union,W,Silver +Moscow,1980,Fencing,Fencing,épée team,"ABUSHAKHMETOV, Aleksandr",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Fencing,Fencing,épée team,"STRZALKA, Mariusz",Men,POL,Poland,M,Silver +Moscow,1980,Fencing,Fencing,sabre team,"GEDOVARI, Imre",Men,HUN,Hungary,M,Bronze +Moscow,1980,Fencing,Fencing,foil team,"ZYCH, Boguslaw",Men,POL,Poland,M,Bronze +Moscow,1980,Fencing,Fencing,foil team,"SIDOROVA, Valentina",Women,URS,Soviet Union,W,Silver +Moscow,1980,Fencing,Fencing,sabre team,"MONTANO, Mario Aldo",Men,ITA,Italy,M,Silver +Moscow,1980,Fencing,Fencing,épée team,"CHRONOWSKI, Ludomir",Men,POL,Poland,M,Silver +Moscow,1980,Fencing,Fencing,foil team,"SZOCS, Zsuzsa",Women,HUN,Hungary,W,Bronze +Moscow,1980,Fencing,Fencing,épée team,"MOZHAEV, Aleksandr",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Fencing,Fencing,épée team,"SWORNOWSKI, Leszek",Men,POL,Poland,M,Silver +Moscow,1980,Fencing,Fencing,foil team,"BONIN, Philippe",Men,FRA,France,M,Gold +Moscow,1980,Fencing,Fencing,foil individual,"TRINQUET-HACHIN, Pascale",Women,FRA,France,W,Gold +Moscow,1980,Fencing,Fencing,foil team,"TRINQUET-HACHIN, Pascale",Women,FRA,France,W,Gold +Moscow,1980,Fencing,Fencing,sabre team,"NEBALD, Rudolf",Men,HUN,Hungary,M,Bronze +Moscow,1980,Fencing,Fencing,foil team,"KOZIEJOWSKI, Lech",Men,POL,Poland,M,Bronze +Moscow,1980,Fencing,Fencing,sabre team,"NAZLYMOV, Vladimir",Men,URS,Soviet Union,M,Gold +Moscow,1980,Fencing,Fencing,foil team,"SYPNIEWSKI, Marian",Men,POL,Poland,M,Bronze +Moscow,1980,Fencing,Fencing,sabre team,"ALEKHIN, Nikolai",Men,URS,Soviet Union,M,Gold +Moscow,1980,Fencing,Fencing,sabre team,"HAMMANG, Ferenc",Men,HUN,Hungary,M,Bronze +Moscow,1980,Fencing,Fencing,épée team,"SALESSE, Michel",Men,FRA,France,M,Gold +Moscow,1980,Fencing,Fencing,foil team,"MUZIO, Christine",Women,FRA,France,W,Gold +Moscow,1980,Fencing,Fencing,épée team,"LIS, Andrzej",Men,POL,Poland,M,Silver +Moscow,1980,Fencing,Fencing,épée team,"JABLKOWSKI, Piotr",Men,POL,Poland,M,Silver +Moscow,1980,Fencing,Fencing,foil team,"USHAKOVA, Irina",Women,URS,Soviet Union,W,Silver +Moscow,1980,Fencing,Fencing,sabre individual,"GEDOVARI, Imre",Men,HUN,Hungary,M,Bronze +Moscow,1980,Football,Football,football,"GAZZAEV, Valeri",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Football,Football,football,"SREINER, Zdenek",Men,TCH,Czechoslovakia,M,Gold +Moscow,1980,Football,Football,football,"UHLIG, Frank",Men,GDR,East Germany,M,Silver +Moscow,1980,Football,Football,football,"LICKA, Werner",Men,TCH,Czechoslovakia,M,Gold +Moscow,1980,Football,Football,football,"PETER, Werner",Men,GDR,East Germany,M,Silver +Moscow,1980,Football,Football,football,"SHAVLO, Sergei",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Football,Football,football,"LIEBERS, Matthias",Men,GDR,East Germany,M,Silver +Moscow,1980,Football,Football,football,"BESSONOV, Vladimir",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Football,Football,football,"SVOBODA, Jindrich",Men,TCH,Czechoslovakia,M,Gold +Moscow,1980,Football,Football,football,"BERGER, Jan",Men,TCH,Czechoslovakia,M,Gold +Moscow,1980,Football,Football,football,"OGANESIAN, Khoren",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Football,Football,football,"GAVRILOV, Yuri",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Football,Football,football,"ROTT, Oldrich",Men,TCH,Czechoslovakia,M,Gold +Moscow,1980,Football,Football,football,"CHERENKOV, Fiodor",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Football,Football,football,"MAZURA, Josef",Men,TCH,Czechoslovakia,M,Gold +Moscow,1980,Football,Football,football,"PROKOPENKO, Aleksandr",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Football,Football,football,"BALTACHA, Sergei",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Football,Football,football,"CHIVADZE, Aleksandr",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Football,Football,football,"NETOLICHKA, Jaroslav",Men,TCH,Czechoslovakia,M,Gold +Moscow,1980,Football,Football,football,"RYGEL, Zdenek",Men,TCH,Czechoslovakia,M,Gold +Moscow,1980,Football,Football,football,"SULAKVELIDZE, Tengiz",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Football,Football,football,"RADIMEC, Libor",Men,TCH,Czechoslovakia,M,Gold +Moscow,1980,Football,Football,football,"MULLER, Matthias",Men,GDR,East Germany,M,Silver +Moscow,1980,Football,Football,football,"MACELA, Ludek",Men,TCH,Czechoslovakia,M,Gold +Moscow,1980,Football,Football,football,"DASAEV, Rinat",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Football,Football,football,"ANDREEV, Sergei",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Football,Football,football,"TRIELOFF, Norbert",Men,GDR,East Germany,M,Silver +Moscow,1980,Football,Football,football,"STEINBACH, Wolfgang",Men,GDR,East Germany,M,Silver +Moscow,1980,Football,Football,football,"STAMBACHR, Frantisek",Men,TCH,Czechoslovakia,M,Gold +Moscow,1980,Football,Football,football,"TERLETZKI, Frank",Men,GDR,East Germany,M,Silver +Moscow,1980,Football,Football,football,"CHELEBADZE, Revaz",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Football,Football,football,"KHIDIATULLIN, Vagiz",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Football,Football,football,"SEMAN, Stanislav",Men,TCH,Czechoslovakia,M,Gold +Moscow,1980,Football,Football,football,"VACLAVICEK, Rostislav",Men,TCH,Czechoslovakia,M,Gold +Moscow,1980,Football,Football,football,"KUHN, Dieter",Men,GDR,East Germany,M,Silver +Moscow,1980,Football,Football,football,"ROMANTSEV, Oleg",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Football,Football,football,"SCHNUPHASE, Rudiger",Men,GDR,East Germany,M,Silver +Moscow,1980,Football,Football,football,"HOUSE, Lothar",Men,GDR,East Germany,M,Silver +Moscow,1980,Football,Football,football,"JAKUBOWSKI, Bernd",Men,GDR,East Germany,M,Silver +Moscow,1980,Football,Football,football,"NIKULIN, Sergei",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Football,Football,football,"VIZEK, Ladislav",Men,TCH,Czechoslovakia,M,Gold +Moscow,1980,Football,Football,football,"PILGUI, Vladimir",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Football,Football,football,"KUNZO, Frantisek",Men,TCH,Czechoslovakia,M,Gold +Moscow,1980,Football,Football,football,"TRAUTMANN, Andreas",Men,GDR,East Germany,M,Silver +Moscow,1980,Football,Football,football,"BAUM, Frank",Men,GDR,East Germany,M,Silver +Moscow,1980,Football,Football,football,"NETZ, Wolf-Rudiger",Men,GDR,East Germany,M,Silver +Moscow,1980,Football,Football,football,"POKLUDA, Lubos",Men,TCH,Czechoslovakia,M,Gold +Moscow,1980,Football,Football,football,"NEMEC, Petr",Men,TCH,Czechoslovakia,M,Gold +Moscow,1980,Football,Football,football,"RUDWALEIT, Bodo",Men,GDR,East Germany,M,Silver +Moscow,1980,Football,Football,football,"BAHRINGER, Jurgen",Men,GDR,East Germany,M,Silver +Moscow,1980,Football,Football,football,"ULLRICH, Artur",Men,GDR,East Germany,M,Silver +Moscow,1980,Gymnastics,Artistic G.,vault,"KRÄKER, Steffi",Women,GDR,East Germany,W,Silver +Moscow,1980,Gymnastics,Artistic G.,pommel horse,"MAGYAR, Zoltan",Men,HUN,Hungary,M,Gold +Moscow,1980,Gymnastics,Artistic G.,team competition,"KRÄKER, Steffi",Women,GDR,East Germany,W,Bronze +Moscow,1980,Gymnastics,Artistic G.,team competition,"BRONST, Andreas",Men,GDR,East Germany,M,Silver +Moscow,1980,Gymnastics,Artistic G.,uneven bars,"KRÄKER, Steffi",Women,GDR,East Germany,W,Bronze +Moscow,1980,Gymnastics,Artistic G.,horizontal bar,"DELTCHEV, Stoyan",Men,BUL,Bulgaria,M,Gold +Moscow,1980,Gymnastics,Artistic G.,team competition,"EBERLE, Emilia",Women,ROU,Romania,W,Silver +Moscow,1980,Gymnastics,Artistic G.,individual all-round,"DITYATIN, Aleksandr",Men,URS,Soviet Union,M,Gold +Moscow,1980,Gymnastics,Artistic G.,floor exercises,"DITYATIN, Aleksandr",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Gymnastics,Artistic G.,floor exercises,"BRÜCKNER, Roland",Men,GDR,East Germany,M,Gold +Moscow,1980,Gymnastics,Artistic G.,team competition,"GRIGORAS, Cristina Elena",Women,ROU,Romania,W,Silver +Moscow,1980,Gymnastics,Artistic G.,balance beam,"DAVYDOVA, Elena",Women,URS,Soviet Union,W,Silver +Moscow,1980,Gymnastics,Artistic G.,horizontal bar,"ANDRIANOV, Nikolay",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Gymnastics,Artistic G.,individual all-round,"GNAUCK, Maxi",Women,GDR,East Germany,W,Silver +Moscow,1980,Gymnastics,Artistic G.,floor exercises,"KIM, Nelli",Women,URS,Soviet Union,W,Gold +Moscow,1980,Gymnastics,Artistic G.,pommel horse,"NIKOLAY, Michael",Men,GDR,East Germany,M,Bronze +Moscow,1980,Gymnastics,Artistic G.,team competition,"DUNKA, Rodica",Women,ROU,Romania,W,Silver +Moscow,1980,Gymnastics,Artistic G.,individual all-round,"COMANECI, Nadia",Women,ROU,Romania,W,Silver +Moscow,1980,Gymnastics,Artistic G.,floor exercises,"ANDRIANOV, Nikolay",Men,URS,Soviet Union,M,Silver +Moscow,1980,Gymnastics,Artistic G.,team competition,"HINDORFF, Silvia",Women,GDR,East Germany,W,Bronze +Moscow,1980,Gymnastics,Artistic G.,team competition,"MAKUTS, Bogdan",Men,URS,Soviet Union,M,Gold +Moscow,1980,Gymnastics,Artistic G.,team competition,"DAVYDOVA, Elena",Women,URS,Soviet Union,W,Gold +Moscow,1980,Gymnastics,Artistic G.,floor exercises,"GNAUCK, Maxi",Women,GDR,East Germany,W,Bronze +Moscow,1980,Gymnastics,Artistic G.,team competition,"GUCZOGHY, György",Men,HUN,Hungary,M,Bronze +Moscow,1980,Gymnastics,Artistic G.,team competition,"VAMOS, Istvan",Men,HUN,Hungary,M,Bronze +Moscow,1980,Gymnastics,Artistic G.,floor exercises,"COMANECI, Nadia",Women,ROU,Romania,W,Gold +Moscow,1980,Gymnastics,Artistic G.,team competition,"COMANECI, Nadia",Women,ROU,Romania,W,Silver +Moscow,1980,Gymnastics,Artistic G.,balance beam,"COMANECI, Nadia",Women,ROU,Romania,W,Gold +Moscow,1980,Gymnastics,Artistic G.,uneven bars,"EBERLE, Emilia",Women,ROU,Romania,W,Silver +Moscow,1980,Gymnastics,Artistic G.,team competition,"KOVACS, Peter",Men,HUN,Hungary,M,Bronze +Moscow,1980,Gymnastics,Artistic G.,rings,"DITYATIN, Aleksandr",Men,URS,Soviet Union,M,Gold +Moscow,1980,Gymnastics,Artistic G.,uneven bars,"GNAUCK, Maxi",Women,GDR,East Germany,W,Gold +Moscow,1980,Gymnastics,Artistic G.,vault,"DITYATIN, Aleksandr",Men,URS,Soviet Union,M,Silver +Moscow,1980,Gymnastics,Artistic G.,team competition,"RÜHN, Melita",Women,ROU,Romania,W,Silver +Moscow,1980,Gymnastics,Artistic G.,individual all-round,"DAVYDOVA, Elena",Women,URS,Soviet Union,W,Gold +Moscow,1980,Gymnastics,Artistic G.,team competition,"SÜSS, Birgit",Women,GDR,East Germany,W,Bronze +Moscow,1980,Gymnastics,Artistic G.,balance beam,"SHAPOSHNIKOVA, Natalia",Women,URS,Soviet Union,W,Bronze +Moscow,1980,Gymnastics,Artistic G.,team competition,"KIM, Nelli",Women,URS,Soviet Union,W,Gold +Moscow,1980,Gymnastics,Artistic G.,team competition,"RENSCH, Katharina",Women,GDR,East Germany,W,Bronze +Moscow,1980,Gymnastics,Artistic G.,team competition,"FILATOVA, Maria",Women,URS,Soviet Union,W,Gold +Moscow,1980,Gymnastics,Artistic G.,team competition,"ZAKHAROVA, Stella",Women,URS,Soviet Union,W,Gold +Moscow,1980,Gymnastics,Artistic G.,team competition,"SHAPOSHNIKOVA, Natalia",Women,URS,Soviet Union,W,Gold +Moscow,1980,Gymnastics,Artistic G.,team competition,"MAGYAR, Zoltan",Men,HUN,Hungary,M,Bronze +Moscow,1980,Gymnastics,Artistic G.,individual all-round,"ANDRIANOV, Nikolay",Men,URS,Soviet Union,M,Silver +Moscow,1980,Gymnastics,Artistic G.,parallel bars,"DITYATIN, Aleksandr",Men,URS,Soviet Union,M,Silver +Moscow,1980,Gymnastics,Artistic G.,vault,"SHAPOSHNIKOVA, Natalia",Women,URS,Soviet Union,W,Gold +Moscow,1980,Gymnastics,Artistic G.,uneven bars,"RÜHN, Melita",Women,ROU,Romania,W,Bronze +Moscow,1980,Gymnastics,Artistic G.,team competition,"BRÜCKNER, Roland",Men,GDR,East Germany,M,Silver +Moscow,1980,Gymnastics,Artistic G.,team competition,"AZARIAN, Eduard",Men,URS,Soviet Union,M,Gold +Moscow,1980,Gymnastics,Artistic G.,vault,"ANDRIANOV, Nikolay",Men,URS,Soviet Union,M,Gold +Moscow,1980,Gymnastics,Artistic G.,rings,"TKACHEV, Aleksandr",Men,URS,Soviet Union,M,Silver +Moscow,1980,Gymnastics,Artistic G.,team competition,"NIKOLAY, Michael",Men,GDR,East Germany,M,Silver +Moscow,1980,Gymnastics,Artistic G.,pommel horse,"DITYATIN, Aleksandr",Men,URS,Soviet Union,M,Silver +Moscow,1980,Gymnastics,Artistic G.,parallel bars,"BRÜCKNER, Roland",Men,GDR,East Germany,M,Bronze +Moscow,1980,Gymnastics,Artistic G.,vault,"BRÜCKNER, Roland",Men,GDR,East Germany,M,Bronze +Moscow,1980,Gymnastics,Artistic G.,team competition,"GNAUCK, Maxi",Women,GDR,East Germany,W,Bronze +Moscow,1980,Gymnastics,Artistic G.,uneven bars,"FILATOVA, Maria",Women,URS,Soviet Union,W,Bronze +Moscow,1980,Gymnastics,Artistic G.,rings,"TABAK, Jiri",Men,TCH,Czechoslovakia,M,Bronze +Moscow,1980,Gymnastics,Artistic G.,team competition,"ANDRIANOV, Nikolay",Men,URS,Soviet Union,M,Gold +Moscow,1980,Gymnastics,Artistic G.,team competition,"HEMMANN, Ralf-Peter",Men,GDR,East Germany,M,Silver +Moscow,1980,Gymnastics,Artistic G.,parallel bars,"TKACHEV, Aleksandr",Men,URS,Soviet Union,M,Gold +Moscow,1980,Gymnastics,Artistic G.,team competition,"MARKELOV, Vladimir",Men,URS,Soviet Union,M,Gold +Moscow,1980,Gymnastics,Artistic G.,team competition,"NAIMUSHINA, Elena",Women,URS,Soviet Union,W,Gold +Moscow,1980,Gymnastics,Artistic G.,floor exercises,"SHAPOSHNIKOVA, Natalia",Women,URS,Soviet Union,W,Bronze +Moscow,1980,Gymnastics,Artistic G.,team competition,"KELEMEN, Zoltan",Men,HUN,Hungary,M,Bronze +Moscow,1980,Gymnastics,Artistic G.,team competition,"HOFFMANN, Lutz",Men,GDR,East Germany,M,Silver +Moscow,1980,Gymnastics,Artistic G.,team competition,"DONATH, Ferenc",Men,HUN,Hungary,M,Bronze +Moscow,1980,Gymnastics,Artistic G.,team competition,"DITYATIN, Aleksandr",Men,URS,Soviet Union,M,Gold +Moscow,1980,Gymnastics,Artistic G.,team competition,"MACK, Lutz",Men,GDR,East Germany,M,Silver +Moscow,1980,Gymnastics,Artistic G.,team competition,"TKACHEV, Aleksandr",Men,URS,Soviet Union,M,Gold +Moscow,1980,Gymnastics,Artistic G.,team competition,"SUBE, Karola",Women,GDR,East Germany,W,Bronze +Moscow,1980,Gymnastics,Artistic G.,vault,"RÜHN, Melita",Women,ROU,Romania,W,Bronze +Moscow,1980,Gymnastics,Artistic G.,team competition,"TURNER, Dumitrita",Women,ROU,Romania,W,Silver +Moscow,1980,Gymnastics,Artistic G.,horizontal bar,"DITYATIN, Aleksandr",Men,URS,Soviet Union,M,Silver +Moscow,1980,Gymnastics,Artistic G.,individual all-round,"DELTCHEV, Stoyan",Men,BUL,Bulgaria,M,Bronze +Moscow,1980,Handball,Handball,handball,"KRÜGER, Katrin",Women,GDR,East Germany,W,Bronze +Moscow,1980,Handball,Handball,handball,"ANPILOGOV, Aleksandr",Men,URS,Soviet Union,M,Silver +Moscow,1980,Handball,Handball,handball,"MAKHORIN, Viktor",Men,URS,Soviet Union,M,Silver +Moscow,1980,Handball,Handball,handball,"ZHUK, Aleksei",Men,URS,Soviet Union,M,Silver +Moscow,1980,Handball,Handball,handball,"HOFT, Rainer",Men,GDR,East Germany,M,Gold +Moscow,1980,Handball,Handball,handball,"KIDYAEV, Yuri",Men,URS,Soviet Union,M,Silver +Moscow,1980,Handball,Handball,handball,"KRAUSE, Roswitha",Women,GDR,East Germany,W,Bronze +Moscow,1980,Handball,Handball,handball,"MAKARETS-KOCHERGINA, Tatiana",Women,URS,Soviet Union,W,Gold +Moscow,1980,Handball,Handball,handball,"MATZ, Evelyn",Women,GDR,East Germany,W,Bronze +Moscow,1980,Handball,Handball,handball,"FOLKER, Alexandru",Men,ROU,Romania,M,Bronze +Moscow,1980,Handball,Handball,handball,"BOROS, Iosif",Men,ROU,Romania,M,Bronze +Moscow,1980,Handball,Handball,handball,"DJURICA, Mirjana",Women,YUG,Yugoslavia,W,Silver +Moscow,1980,Handball,Handball,handball,"FEDYUKIN, Anatoli",Men,URS,Soviet Union,M,Silver +Moscow,1980,Handball,Handball,handball,"LUKIANENKO, Natalia",Women,URS,Soviet Union,W,Gold +Moscow,1980,Handball,Handball,handball,"KARSHAKEVICH, Aleksandr",Men,URS,Soviet Union,M,Silver +Moscow,1980,Handball,Handball,handball,"KUSHNIRYUK, Sergei",Men,URS,Soviet Union,M,Silver +Moscow,1980,Handball,Handball,handball,"SAVIC, Rada",Women,YUG,Yugoslavia,W,Silver +Moscow,1980,Handball,Handball,handball,"CHESAITITE-NENENENE, Aldona",Women,URS,Soviet Union,W,Gold +Moscow,1980,Handball,Handball,handball,"JAUNICH, Hans-Georg",Men,GDR,East Germany,M,Gold +Moscow,1980,Handball,Handball,handball,"RUDOLPH, Renate",Women,GDR,East Germany,W,Bronze +Moscow,1980,Handball,Handball,handball,"IONESCU, Claudiu Eugen",Men,ROU,Romania,M,Bronze +Moscow,1980,Handball,Handball,handball,"STINGA, Vasile",Men,ROU,Romania,M,Bronze +Moscow,1980,Handball,Handball,handball,"BEYER, Hans-Georg",Men,GDR,East Germany,M,Gold +Moscow,1980,Handball,Handball,handball,"RICHTER-HOCHMUT, Kristina",Women,GDR,East Germany,W,Bronze +Moscow,1980,Handball,Handball,handball,"WUNDERLICH, Claudia",Women,GDR,East Germany,W,Bronze +Moscow,1980,Handball,Handball,handball,"VOJINOVIC, Zorica",Women,YUG,Yugoslavia,W,Silver +Moscow,1980,Handball,Handball,handball,"ZUBAREVA, Olga",Women,URS,Soviet Union,W,Gold +Moscow,1980,Handball,Handball,handball,"DRAGANITA, Cezar",Men,ROU,Romania,M,Bronze +Moscow,1980,Handball,Handball,handball,"KRAVTSOV, Vladimir",Men,URS,Soviet Union,M,Silver +Moscow,1980,Handball,Handball,handball,"TOMIN, Nikolai",Men,URS,Soviet Union,M,Silver +Moscow,1980,Handball,Handball,handball,"REPIEV, Vladimir",Men,URS,Soviet Union,M,Silver +Moscow,1980,Handball,Handball,handball,"WAHL, Frank-Michael",Men,GDR,East Germany,M,Gold +Moscow,1980,Handball,Handball,handball,"TIETZ, Marion",Women,GDR,East Germany,W,Bronze +Moscow,1980,Handball,Handball,handball,"CHERNYSHOV, Evgeni",Men,URS,Soviet Union,M,Silver +Moscow,1980,Handball,Handball,handball,"VOINEA, Radu",Men,ROU,Romania,M,Bronze +Moscow,1980,Handball,Handball,handball,"DURAU, Cornel",Men,ROU,Romania,M,Bronze +Moscow,1980,Handball,Handball,handball,"VISNJIC, Biserka",Women,YUG,Yugoslavia,W,Silver +Moscow,1980,Handball,Handball,handball,"COSMA, Adrian",Men,ROU,Romania,M,Bronze +Moscow,1980,Handball,Handball,handball,"KARLOVA, Larisa",Women,URS,Soviet Union,W,Gold +Moscow,1980,Handball,Handball,handball,"BELOV, Vladimir",Men,URS,Soviet Union,M,Silver +Moscow,1980,Handball,Handball,handball,"HEINECKE, Birgit",Women,GDR,East Germany,W,Bronze +Moscow,1980,Handball,Handball,handball,"PALCHIKOVA, Irina",Women,URS,Soviet Union,W,Gold +Moscow,1980,Handball,Handball,handball,"VASILCA, Neculai",Men,ROU,Romania,M,Bronze +Moscow,1980,Handball,Handball,handball,"MERDAN-KOLAR, Jasna",Women,YUG,Yugoslavia,W,Silver +Moscow,1980,Handball,Handball,handball,"SCHMIDT, Wieland",Men,GDR,East Germany,M,Gold +Moscow,1980,Handball,Handball,handball,"SAVKINA, Larisa",Women,URS,Soviet Union,W,Gold +Moscow,1980,Handball,Handball,handball,"KRETZSCHMAR, Waltraud",Women,GDR,East Germany,W,Bronze +Moscow,1980,Handball,Handball,handball,"ANASTASOVSKI, Svetlana",Women,YUG,Yugoslavia,W,Silver +Moscow,1980,Handball,Handball,handball,"VOIGT, Siegfried",Men,GDR,East Germany,M,Gold +Moscow,1980,Handball,Handball,handball,"UHLIG, Petra",Women,GDR,East Germany,W,Bronze +Moscow,1980,Handball,Handball,handball,"BIRTALAN, Stefan",Men,ROU,Romania,M,Bronze +Moscow,1980,Handball,Handball,handball,"ILES, Katica",Women,YUG,Yugoslavia,W,Silver +Moscow,1980,Handball,Handball,handball,"KRUGER, Hartmut",Men,GDR,East Germany,M,Gold +Moscow,1980,Handball,Handball,handball,"TITLIC, Ana",Women,YUG,Yugoslavia,W,Silver +Moscow,1980,Handball,Handball,handball,"NOVITSKI, Valdemar",Men,URS,Soviet Union,M,Silver +Moscow,1980,Handball,Handball,handball,"SCHMIDT, Dietmar",Men,GDR,East Germany,M,Gold +Moscow,1980,Handball,Handball,handball,"ROST, Peter",Men,GDR,East Germany,M,Gold +Moscow,1980,Handball,Handball,handball,"DRLJACA, Radmila",Women,YUG,Yugoslavia,W,Silver +Moscow,1980,Handball,Handball,handball,"BEREZHNAYA-ODINOKOVA, Liubov",Women,URS,Soviet Union,W,Gold +Moscow,1980,Handball,Handball,handball,"OGNJENOVIC, Mirjana",Women,YUG,Yugoslavia,W,Silver +Moscow,1980,Handball,Handball,handball,"RÖTHER, Sabine",Women,GDR,East Germany,W,Bronze +Moscow,1980,Handball,Handball,handball,"ZOBER, Hannelore",Women,GDR,East Germany,W,Bronze +Moscow,1980,Handball,Handball,handball,"WIEGERT, Ingolf",Men,GDR,East Germany,M,Gold +Moscow,1980,Handball,Handball,handball,"DREIBRODT, Gunter",Men,GDR,East Germany,M,Gold +Moscow,1980,Handball,Handball,handball,"KUNISCH, Kornelia",Women,GDR,East Germany,W,Bronze +Moscow,1980,Handball,Handball,handball,"KITIC-DASIC, Svetlana",Women,YUG,Yugoslavia,W,Silver +Moscow,1980,Handball,Handball,handball,"VASILACHE, Lucian",Men,ROU,Romania,M,Bronze +Moscow,1980,Handball,Handball,handball,"TURCHINA, Zinaida",Women,URS,Soviet Union,W,Gold +Moscow,1980,Handball,Handball,handball,"ROST, Christina",Women,GDR,East Germany,W,Bronze +Moscow,1980,Handball,Handball,handball,"MUNTEANU, Nicolae",Men,ROU,Romania,M,Bronze +Moscow,1980,Handball,Handball,handball,"RADOVIC, Vesna",Women,YUG,Yugoslavia,W,Silver +Moscow,1980,Handball,Handball,handball,"VOINEA, Maricel",Men,ROU,Romania,M,Bronze +Moscow,1980,Handball,Handball,handball,"DOERING, Lothar",Men,GDR,East Germany,M,Gold +Moscow,1980,Handball,Handball,handball,"JEREMIC, Slavica",Women,YUG,Yugoslavia,W,Silver +Moscow,1980,Handball,Handball,handball,"GRUNER, Klaus",Men,GDR,East Germany,M,Gold +Moscow,1980,Handball,Handball,handball,"LUTAEVA, Valentina",Women,URS,Soviet Union,W,Gold +Moscow,1980,Handball,Handball,handball,"GERLACH, Ernst",Men,GDR,East Germany,M,Gold +Moscow,1980,Handball,Handball,handball,"DUMITRU, Marian",Men,ROU,Romania,M,Bronze +Moscow,1980,Handball,Handball,handball,"SAFINA, Yulia",Women,URS,Soviet Union,W,Gold +Moscow,1980,Handball,Handball,handball,"STRECHEN, Sigita",Women,URS,Soviet Union,W,Gold +Moscow,1980,Handball,Handball,handball,"MILOSEVIC, Vesna",Women,YUG,Yugoslavia,W,Silver +Moscow,1980,Handball,Handball,handball,"SHERSTYUK-TIMOSHKINA, Natalia",Women,URS,Soviet Union,W,Gold +Moscow,1980,Handball,Handball,handball,"ISHCHENKO, Mikhail",Men,URS,Soviet Union,M,Silver +Moscow,1980,Handball,Handball,handball,"BOBRUS-PARADNIK, Liudmila",Women,URS,Soviet Union,W,Gold +Moscow,1980,Hockey,Hockey,hockey,"SINGH, Singh",Men,IND,India,M,Gold +Moscow,1980,Hockey,Hockey,hockey,"FERNANDES, Mervyn",Men,IND,India,M,Gold +Moscow,1980,Hockey,Hockey,hockey,"SRANKOVA, Iveta",Women,TCH,Czechoslovakia,W,Silver +Moscow,1980,Hockey,Hockey,hockey,"GUSEV, Aleksandr",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Hockey,Hockey,hockey,"LAMPEEV, Viacheslav",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Hockey,Hockey,hockey,"MALGOSA MORERA, Santiago",Men,ESP,Spain,M,Silver +Moscow,1980,Hockey,Hockey,hockey,"GURMAIL, Singh",Men,IND,India,M,Gold +Moscow,1980,Hockey,Hockey,hockey,"KRIZOVA, Jirina",Women,TCH,Czechoslovakia,W,Silver +Moscow,1980,Hockey,Hockey,hockey,"ROCA PORTOLES, Carlos",Men,ESP,Spain,M,Silver +Moscow,1980,Hockey,Hockey,hockey,"AZIZOV, Minneula",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Hockey,Hockey,hockey,"HUGGETT, Susan",Women,ZIM,Zimbabwe,W,Gold +Moscow,1980,Hockey,Hockey,hockey,"KLEVTSOV, Sergei",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Hockey,Hockey,hockey,"ROBERTSON, Sonia",Women,ZIM,Zimbabwe,W,Gold +Moscow,1980,Hockey,Hockey,hockey,"PLESHAKOV, Vladimir",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Hockey,Hockey,hockey,"BASKARAN, Baskaran",Men,IND,India,M,Gold +Moscow,1980,Hockey,Hockey,hockey,"ZAFAR, Zafar",Men,IND,India,M,Gold +Moscow,1980,Hockey,Hockey,hockey,"KRASNIKOVA, Natella",Women,URS,Soviet Union,W,Bronze +Moscow,1980,Hockey,Hockey,hockey,"PODHANYIOVA, Viera",Women,TCH,Czechoslovakia,W,Silver +Moscow,1980,Hockey,Hockey,hockey,"KYSELICOVA, Alena",Women,TCH,Czechoslovakia,W,Silver +Moscow,1980,Hockey,Hockey,hockey,"MIASNIKOV, Aleksandr",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Hockey,Hockey,hockey,"GARCIA MESSEGUER, Jose",Men,ESP,Spain,M,Silver +Moscow,1980,Hockey,Hockey,hockey,"HAJKOVA, Jirina",Women,TCH,Czechoslovakia,W,Silver +Moscow,1980,Hockey,Hockey,hockey,"CHAVES, Miguel",Men,ESP,Spain,M,Silver +Moscow,1980,Hockey,Hockey,hockey,"NICHEPURENKO, Mikhail",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Hockey,Hockey,hockey,"OVECHKINA, Nadezhda",Women,URS,Soviet Union,W,Bronze +Moscow,1980,Hockey,Hockey,hockey,"MOHAMMAD, Shahid",Men,IND,India,M,Gold +Moscow,1980,Hockey,Hockey,hockey,"COWLEY, Gillian Margaret",Women,ZIM,Zimbabwe,W,Gold +Moscow,1980,Hockey,Hockey,hockey,"STEWART, Anthea Doreen",Women,ZIM,Zimbabwe,W,Gold +Moscow,1980,Hockey,Hockey,hockey,"GORBATKOVA, Nelli",Women,URS,Soviet Union,W,Bronze +Moscow,1980,Hockey,Hockey,hockey,"HUBACKOVA, Ida",Women,TCH,Czechoslovakia,W,Silver +Moscow,1980,Hockey,Hockey,hockey,"SHVYGANOVA, Tatiana",Women,URS,Soviet Union,W,Bronze +Moscow,1980,Hockey,Hockey,hockey,"KRALICKOVA, Jarmila",Women,TCH,Czechoslovakia,W,Silver +Moscow,1980,Hockey,Hockey,hockey,"SINGH, Singh",Men,IND,India,M,Gold +Moscow,1980,Hockey,Hockey,hockey,"AMAT FONTANALS, Juan",Men,ESP,Spain,M,Silver +Moscow,1980,Hockey,Hockey,hockey,"BELIAKOV, Valeri",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Hockey,Hockey,hockey,"PAVLOVSKI, Leonid",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Hockey,Hockey,hockey,"WATSON, Linda Margaret",Women,ZIM,Zimbabwe,W,Gold +Moscow,1980,Hockey,Hockey,hockey,"CHASE, Elizabeth Muriel",Women,ZIM,Zimbabwe,W,Gold +Moscow,1980,Hockey,Hockey,hockey,"PELLON FERNANDEZ, Juan",Men,ESP,Spain,M,Silver +Moscow,1980,Hockey,Hockey,hockey,"COGHEN, Juan Luis",Men,ESP,Spain,M,Silver +Moscow,1980,Hockey,Hockey,hockey,"DE PAZ PLA, Miguel",Men,ESP,Spain,M,Silver +Moscow,1980,Hockey,Hockey,hockey,"ARBOS PERARNAU, Juan",Men,ESP,Spain,M,Silver +Moscow,1980,Hockey,Hockey,hockey,"AKHMEROVA, Liailia",Women,URS,Soviet Union,W,Bronze +Moscow,1980,Hockey,Hockey,hockey,"URBANOVA, Marta",Women,TCH,Czechoslovakia,W,Silver +Moscow,1980,Hockey,Hockey,hockey,"ZAZDRAVNYKH, Valentina",Women,URS,Soviet Union,W,Bronze +Moscow,1980,Hockey,Hockey,hockey,"PETRICKOVA, Kveta",Women,TCH,Czechoslovakia,W,Silver +Moscow,1980,Hockey,Hockey,hockey,"SYKOROVA, Marie",Women,TCH,Czechoslovakia,W,Silver +Moscow,1980,Hockey,Hockey,hockey,"ARBOS SERRA, Jaime",Men,ESP,Spain,M,Silver +Moscow,1980,Hockey,Hockey,hockey,"GLUBOKOVA, Lidia",Women,URS,Soviet Union,W,Bronze +Moscow,1980,Hockey,Hockey,hockey,"PHILLIPS, Brenda Joan",Women,ZIM,Zimbabwe,W,Gold +Moscow,1980,Hockey,Hockey,hockey,"GRANT, Ann Marry Gwynne",Women,ZIM,Zimbabwe,W,Gold +Moscow,1980,Hockey,Hockey,hockey,"KAUSHIK, Maharaj Krishon",Men,IND,India,M,Gold +Moscow,1980,Hockey,Hockey,hockey,"ZUMALACARREGUI, Jaime",Men,ESP,Spain,M,Silver +Moscow,1980,Hockey,Hockey,hockey,"SURINDER, Singh",Men,IND,India,M,Gold +Moscow,1980,Hockey,Hockey,hockey,"GURYEVA, Elena",Women,URS,Soviet Union,W,Bronze +Moscow,1980,Hockey,Hockey,hockey,"GONCHAROV, Aleksandr",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Hockey,Hockey,hockey,"SYCHEV, Aleksandr",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Hockey,Hockey,hockey,"DAVIES, Patricia Joan",Women,ZIM,Zimbabwe,W,Gold +Moscow,1980,Hockey,Hockey,hockey,"ENGLISH, Sarah",Women,ZIM,Zimbabwe,W,Gold +Moscow,1980,Hockey,Hockey,hockey,"KUMAR, Charanjit",Men,IND,India,M,Gold +Moscow,1980,Hockey,Hockey,hockey,"SYLVANUS, Dung Dung",Men,IND,India,M,Gold +Moscow,1980,Hockey,Hockey,hockey,"MONSALVE, Paulino",Men,ESP,Spain,M,Silver +Moscow,1980,Hockey,Hockey,hockey,"DEAVINDER, Singh",Men,IND,India,M,Gold +Moscow,1980,Hockey,Hockey,hockey,"AIRAPETYAN, Sos",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Hockey,Hockey,hockey,"HRUBA, Berta",Women,TCH,Czechoslovakia,W,Silver +Moscow,1980,Hockey,Hockey,hockey,"CHICK, Sandra",Women,ZIM,Zimbabwe,W,Gold +Moscow,1980,Hockey,Hockey,hockey,"KADLECOVA, Jirina",Women,TCH,Czechoslovakia,W,Silver +Moscow,1980,Hockey,Hockey,hockey,"CERMAKOVA, Jirina",Women,TCH,Czechoslovakia,W,Silver +Moscow,1980,Hockey,Hockey,hockey,"FROLOVA, Liudmila",Women,URS,Soviet Union,W,Bronze +Moscow,1980,Hockey,Hockey,hockey,"GEORGE, Maureen Jean",Women,ZIM,Zimbabwe,W,Gold +Moscow,1980,Hockey,Hockey,hockey,"BLAZKOVA, Milada",Women,TCH,Czechoslovakia,W,Silver +Moscow,1980,Hockey,Hockey,hockey,"BYKOVA, Natalia",Women,URS,Soviet Union,W,Bronze +Moscow,1980,Hockey,Hockey,hockey,"FABREGAS BOSCH, Francisco",Men,ESP,Spain,M,Silver +Moscow,1980,Hockey,Hockey,hockey,"PRINSLOO, Christine",Women,ZIM,Zimbabwe,W,Gold +Moscow,1980,Hockey,Hockey,hockey,"EMBAKHTOVA, Tatiana",Women,URS,Soviet Union,W,Bronze +Moscow,1980,Hockey,Hockey,hockey,"VOLK, Helen",Women,ZIM,Zimbabwe,W,Gold +Moscow,1980,Hockey,Hockey,hockey,"CABOT DURAN, Javier",Men,ESP,Spain,M,Silver +Moscow,1980,Hockey,Hockey,hockey,"GARRALDA, Rafael",Men,ESP,Spain,M,Silver +Moscow,1980,Hockey,Hockey,hockey,"BOXHALL, Arlene Nadine",Women,ZIM,Zimbabwe,W,Gold +Moscow,1980,Hockey,Hockey,hockey,"ZAGORODNEV, Oleg",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Hockey,Hockey,hockey,"MCKILLOP, Patricia Jean",Women,ZIM,Zimbabwe,W,Gold +Moscow,1980,Hockey,Hockey,hockey,"ZIGANGIROV, Farit",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Hockey,Hockey,hockey,"AMARJIT RANA, Singh",Men,IND,India,M,Gold +Moscow,1980,Hockey,Hockey,hockey,"FILIPPOVA, Nadezhda",Women,URS,Soviet Union,W,Bronze +Moscow,1980,Hockey,Hockey,hockey,"LAHODOVA, Jana",Women,TCH,Czechoslovakia,W,Silver +Moscow,1980,Hockey,Hockey,hockey,"CABOT DURAN, Ricardo",Men,ESP,Spain,M,Silver +Moscow,1980,Hockey,Hockey,hockey,"DEPUTATOV, Viktor",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Hockey,Hockey,hockey,"ALLAN, Schofield",Men,IND,India,M,Gold +Moscow,1980,Hockey,Hockey,hockey,"PLESHAKOV, Sergei",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Hockey,Hockey,hockey,"CHETTRI, Chettri",Men,IND,India,M,Gold +Moscow,1980,Hockey,Hockey,hockey,"MANEYPANDA, Somaya",Men,IND,India,M,Gold +Moscow,1980,Hockey,Hockey,hockey,"VYMAZALOVA, Lenka",Women,TCH,Czechoslovakia,W,Silver +Moscow,1980,Hockey,Hockey,hockey,"BUZUNOVA, Natalia",Women,URS,Soviet Union,W,Bronze +Moscow,1980,Hockey,Hockey,hockey,"VIUZHANINA, Galina",Women,URS,Soviet Union,W,Bronze +Moscow,1980,Hockey,Hockey,hockey,"KHAM, Alina",Women,URS,Soviet Union,W,Bronze +Moscow,1980,Hockey,Hockey,hockey,"INZHUVATOVA, Galina",Women,URS,Soviet Union,W,Bronze +Moscow,1980,Judo,Judo,open category,"OZSVAR, Andras",Men,HUN,Hungary,M,Bronze +Moscow,1980,Judo,Judo,- 60 kg,"EMIZH, Arambi",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Judo,Judo,86 - 95kg (half-heavyweight),"LORENZ, Dietmar",Men,GDR,East Germany,M,Bronze +Moscow,1980,Judo,Judo,71 - 78kg (half-middleweight),"TCHOULLOUYAN, Bernard",Men,FRA,France,M,Bronze +Moscow,1980,Judo,Judo,open category,"PARISI, Angelo",Men,FRA,France,M,Silver +Moscow,1980,Judo,Judo,65 - 71kg (lightweight),"DAVAADALAI, Ravdan",Men,MGL,Mongolia,M,Bronze +Moscow,1980,Judo,Judo,- 60 kg,"REY, Thierry",Men,FRA,France,M,Gold +Moscow,1980,Judo,Judo,71 - 78kg (half-middleweight),"HEINKE, Harald",Men,GDR,East Germany,M,Bronze +Moscow,1980,Judo,Judo,+ 95kg (heavyweight),"PARISI, Angelo",Men,FRA,France,M,Gold +Moscow,1980,Judo,Judo,78 - 86kg (middleweight),"ULTSCH, Detlef",Men,GDR,East Germany,M,Bronze +Moscow,1980,Judo,Judo,- 60 kg,"KINCSES, Tibor",Men,HUN,Hungary,M,Bronze +Moscow,1980,Judo,Judo,86 - 95kg (half-heavyweight),"VAN DE WALLE, Robert",Men,BEL,Belgium,M,Gold +Moscow,1980,Judo,Judo,71 - 78kg (half-middleweight),"FERRER, Juan",Men,CUB,Cuba,M,Silver +Moscow,1980,Judo,Judo,60 - 65kg (half-lightweight),"NEDKOV, Ilian",Men,BUL,Bulgaria,M,Bronze +Moscow,1980,Judo,Judo,+ 95kg (heavyweight),"ZAPRIANOV, Dimitar",Men,BUL,Bulgaria,M,Silver +Moscow,1980,Judo,Judo,60 - 65kg (half-lightweight),"PAWLOWSKI, Janusz",Men,POL,Poland,M,Bronze +Moscow,1980,Judo,Judo,78 - 86kg (middleweight),"AZCUY OLIVA, Isaac",Men,CUB,Cuba,M,Silver +Moscow,1980,Judo,Judo,65 - 71kg (lightweight),"ADAMS, Neil",Men,GBR,United Kingdom,M,Silver +Moscow,1980,Judo,Judo,+ 95kg (heavyweight),"KOVACEVIC, Radomir",Men,YUG,Yugoslavia,M,Bronze +Moscow,1980,Judo,Judo,65 - 71kg (lightweight),"LEHMANN, Karl-Heinz",Men,GDR,East Germany,M,Bronze +Moscow,1980,Judo,Judo,- 60 kg,"RODRIGUEZ, Jose",Men,CUB,Cuba,M,Silver +Moscow,1980,Judo,Judo,60 - 65kg (half-lightweight),"DAMDIN, Tsendying",Men,MGL,Mongolia,M,Silver +Moscow,1980,Judo,Judo,78 - 86kg (middleweight),"RÖTHLISBERGER, Jürg",Men,SUI,Switzerland,M,Gold +Moscow,1980,Judo,Judo,60 - 65kg (half-lightweight),"SOLODUKHIN, Nikolai",Men,URS,Soviet Union,M,Gold +Moscow,1980,Judo,Judo,71 - 78kg (half-middleweight),"KHABARELI, Shota",Men,URS,Soviet Union,M,Gold +Moscow,1980,Judo,Judo,86 - 95kg (half-heavyweight),"KHUBULURI, Tengiz",Men,URS,Soviet Union,M,Silver +Moscow,1980,Judo,Judo,open category,"MAPP, Arthur",Men,GBR,United Kingdom,M,Bronze +Moscow,1980,Judo,Judo,+ 95kg (heavyweight),"KOCMAN, Vladimir",Men,TCH,Czechoslovakia,M,Bronze +Moscow,1980,Judo,Judo,65 - 71kg (lightweight),"GAMBA, Ezio",Men,ITA,Italy,M,Gold +Moscow,1980,Judo,Judo,86 - 95kg (half-heavyweight),"NUMAN, Henk",Men,NED,Netherlands,M,Bronze +Moscow,1980,Judo,Judo,78 - 86kg (middleweight),"YATSKEVICH, Aleksandr",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Judo,Judo,open category,"LORENZ, Dietmar",Men,GDR,East Germany,M,Gold +Moscow,1980,Modern Pentathlon,Modern Pentath.,Team competition,"SZOMBATHELYI, Tamas",Men,HUN,Hungary,M,Silver +Moscow,1980,Modern Pentathlon,Modern Pentath.,Team competition,"RASMUSON, Svante",Men,SWE,Sweden,M,Bronze +Moscow,1980,Modern Pentathlon,Modern Pentath.,Individual competition,"SZOMBATHELYI, Tamas",Men,HUN,Hungary,M,Silver +Moscow,1980,Modern Pentathlon,Modern Pentath.,Individual competition,"LEDNEV, Pavel",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Modern Pentathlon,Modern Pentath.,Team competition,"LIPEEV, Evgeni",Men,URS,Soviet Union,M,Gold +Moscow,1980,Modern Pentathlon,Modern Pentath.,Team competition,"STAROSTIN, Anatoli",Men,URS,Soviet Union,M,Gold +Moscow,1980,Modern Pentathlon,Modern Pentath.,Team competition,"MARACSKO, Tibor",Men,HUN,Hungary,M,Silver +Moscow,1980,Modern Pentathlon,Modern Pentath.,Team competition,"PETTERSSON, Lennart",Men,SWE,Sweden,M,Bronze +Moscow,1980,Modern Pentathlon,Modern Pentath.,Team competition,"HORVATH, George",Men,SWE,Sweden,M,Bronze +Moscow,1980,Modern Pentathlon,Modern Pentath.,Team competition,"HORVATH, Laszlo",Men,HUN,Hungary,M,Silver +Moscow,1980,Modern Pentathlon,Modern Pentath.,Team competition,"LEDNEV, Pavel",Men,URS,Soviet Union,M,Gold +Moscow,1980,Modern Pentathlon,Modern Pentath.,Individual competition,"STAROSTIN, Anatoli",Men,URS,Soviet Union,M,Gold +Moscow,1980,Rowing,Rowing,four-oared shell with coxswain (4-),"GREGOR, Andreas",Men,GDR,East Germany,M,Gold +Moscow,1980,Rowing,Rowing,four-oared shell with coxswain (4-),"FADEEVA, Maria",Women,URS,Soviet Union,W,Bronze +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"MAISTRENKO, Igor",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Rowing,Rowing,four without coxswain (4-),"DOLININ, Valeri",Men,URS,Soviet Union,M,Silver +Moscow,1980,Rowing,Rowing,quadruple sculls without coxswain (4x),"WINTER, Martin",Men,GDR,East Germany,M,Gold +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"BOESLER, Martina",Women,GDR,East Germany,W,Gold +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"TISHCHENKO, Andrei",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Rowing,Rowing,pair without coxswain (2-),"KELBETCHEVA-BARBULOVA, Siika",Women,BUL,Bulgaria,W,Bronze +Moscow,1980,Rowing,Rowing,quadruple sculls with coxswain (4x),"GEORGIEVA, Stanka",Women,BUL,Bulgaria,W,Bronze +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"PAZIUN, Maria",Women,URS,Soviet Union,W,Silver +Moscow,1980,Rowing,Rowing,four without coxswain (4-),"BEATTIE, John",Men,GBR,United Kingdom,M,Bronze +Moscow,1980,Rowing,Rowing,pair-oared shell with coxswain (2+),"PEREVERZEV, Viktor",Men,URS,Soviet Union,M,Silver +Moscow,1980,Rowing,Rowing,pair-oared shell with coxswain (2+),"REIC, Josip",Men,YUG,Yugoslavia,M,Bronze +Moscow,1980,Rowing,Rowing,quadruple sculls without coxswain (4x),"SHAPOCHKA, Yuri",Men,URS,Soviet Union,M,Silver +Moscow,1980,Rowing,Rowing,pair without coxswain (2-),"DLUZEWSKA, Malgorzata",Women,POL,Poland,W,Silver +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"STANHOPE, Richard",Men,GBR,United Kingdom,M,Silver +Moscow,1980,Rowing,Rowing,pair-oared shell with coxswain (2+),"ULRICH, Friedrich-Wilhelm",Men,GDR,East Germany,M,Gold +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"WILKE, Marina",Women,GDR,East Germany,W,Gold +Moscow,1980,Rowing,Rowing,double sculls (2x),"HOMEGHI-BULARDA, Olga",Women,ROU,Romania,W,Bronze +Moscow,1980,Rowing,Rowing,four-oared shell with coxswain (4-),"DIESSNER, Walter",Men,GDR,East Germany,M,Gold +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"JUSTICE, Andrew",Men,GBR,United Kingdom,M,Silver +Moscow,1980,Rowing,Rowing,single sculls (1x),"TOMA, Sanda",Women,ROU,Romania,W,Gold +Moscow,1980,Rowing,Rowing,double sculls (2x),"ROSCA-RASILA, Valeria",Women,ROU,Romania,W,Bronze +Moscow,1980,Rowing,Rowing,four-oared shell with coxswain (4-),"CHEREMISINA, Nina",Women,URS,Soviet Union,W,Bronze +Moscow,1980,Rowing,Rowing,double sculls (2x),"KRÖPPELIEN, Klaus",Men,GDR,East Germany,M,Gold +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"KOKOSHIN, Viktor",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"KRAUSS, Bernd",Men,GDR,East Germany,M,Gold +Moscow,1980,Rowing,Rowing,double sculls (2x),"LINSE, Cornelia",Women,GDR,East Germany,W,Silver +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"KONS, Ulrich",Men,GDR,East Germany,M,Gold +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"APOSTEANU, Angelica",Women,ROU,Romania,W,Bronze +Moscow,1980,Rowing,Rowing,four-oared shell with coxswain (4-),"STUDNEVA, Marina",Women,URS,Soviet Union,W,Bronze +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"BUCUR, Florica",Women,ROU,Romania,W,Bronze +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"FROLOVA, Nina",Women,URS,Soviet Union,W,Silver +Moscow,1980,Rowing,Rowing,pair-oared shell with coxswain (2+),"JÄHRLING, Harald",Men,GDR,East Germany,M,Gold +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"MAHONEY, Chris",Men,GBR,United Kingdom,M,Silver +Moscow,1980,Rowing,Rowing,quadruple sculls without coxswain (4x),"BARBAKOV, Evgeni",Men,URS,Soviet Union,M,Silver +Moscow,1980,Rowing,Rowing,four without coxswain (4-),"BRIETZKE, Siegfried",Men,GDR,East Germany,M,Gold +Moscow,1980,Rowing,Rowing,double sculls (2x),"PECKA, Zdenek",Men,TCH,Czechoslovakia,M,Bronze +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"DOBERSCHÜTZ, Jens",Men,GDR,East Germany,M,Gold +Moscow,1980,Rowing,Rowing,quadruple sculls with coxswain (4x),"PLOCH, Jutta",Women,GDR,East Germany,W,Gold +Moscow,1980,Rowing,Rowing,coxless pair (2-),"WIGGIN, Charles",Men,GBR,United Kingdom,M,Bronze +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"UMANETS, Nina",Women,URS,Soviet Union,W,Silver +Moscow,1980,Rowing,Rowing,coxless pair (2-),"PIMENOV, Nikolai",Men,URS,Soviet Union,M,Silver +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"NORMANTAS, Ionas",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Rowing,Rowing,quadruple sculls without coxswain (4x),"RUSEV, Ivo",Men,BUL,Bulgaria,M,Bronze +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"TKACHENKO, Aleksandr",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Rowing,Rowing,double sculls (2x),"KHLOPTSEVA, Elena",Women,URS,Soviet Union,W,Gold +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"PUSCATU-ARBA, Rodica",Women,ROU,Romania,W,Bronze +Moscow,1980,Rowing,Rowing,quadruple sculls with coxswain (4x),"LIUBIMOVA, Nadezhda",Women,URS,Soviet Union,W,Silver +Moscow,1980,Rowing,Rowing,pair-oared shell with coxswain (2+),"KRIUCHKIN, Gennadi",Men,URS,Soviet Union,M,Silver +Moscow,1980,Rowing,Rowing,pair-oared shell with coxswain (2+),"MRDULJAS, Dusko",Men,YUG,Yugoslavia,M,Bronze +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"LUGIN, Andrei",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"SCHÜTZ, Birgit",Women,GDR,East Germany,W,Gold +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"MANTSEVICH, Aleksandr",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Rowing,Rowing,four without coxswain (4-),"THIELE, Jürgen",Men,GDR,East Germany,M,Gold +Moscow,1980,Rowing,Rowing,four-oared shell with coxswain (4-),"NOACK, Angelika",Women,GDR,East Germany,W,Gold +Moscow,1980,Rowing,Rowing,four without coxswain (4-),"KAMKIN, Aleksei",Men,URS,Soviet Union,M,Silver +Moscow,1980,Rowing,Rowing,single sculls (1x),"KARPPINEN, Pertti",Men,FIN,Finland,M,Gold +Moscow,1980,Rowing,Rowing,quadruple sculls without coxswain (4x),"BUNK, Karsten",Men,GDR,East Germany,M,Gold +Moscow,1980,Rowing,Rowing,single sculls (1x),"SCHRÖTER, Martina",Women,GDR,East Germany,W,Bronze +Moscow,1980,Rowing,Rowing,quadruple sculls with coxswain (4x),"BONCHEVA, Rumeliana",Women,BUL,Bulgaria,W,Bronze +Moscow,1980,Rowing,Rowing,four-oared shell with coxswain (4-),"WENDISCH, Dieter",Men,GDR,East Germany,M,Gold +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"ZAGONI, Marlena",Women,ROU,Romania,W,Bronze +Moscow,1980,Rowing,Rowing,quadruple sculls with coxswain (4x),"NAKOVA, Dolores",Women,BUL,Bulgaria,W,Bronze +Moscow,1980,Rowing,Rowing,double sculls (2x),"ALEXANDROVA-POPOVA, Larissa",Women,URS,Soviet Union,W,Gold +Moscow,1980,Rowing,Rowing,quadruple sculls without coxswain (4x),"PETROV, Liubomir",Men,BUL,Bulgaria,M,Bronze +Moscow,1980,Rowing,Rowing,four-oared shell with coxswain (4-),"KAPHEIM, Ramona",Women,GDR,East Germany,W,Gold +Moscow,1980,Rowing,Rowing,four without coxswain (4-),"MCNUFF, Ian",Men,GBR,United Kingdom,M,Bronze +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"METZE, Karin",Women,GDR,East Germany,W,Gold +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"LUDWIG, Klaus-Dieter",Men,GDR,East Germany,M,Gold +Moscow,1980,Rowing,Rowing,four without coxswain (4-),"KULAGIN, Aleksandr",Men,URS,Soviet Union,M,Silver +Moscow,1980,Rowing,Rowing,four-oared shell with coxswain (4-),"KUBIAK, Ryszard",Men,POL,Poland,M,Bronze +Moscow,1980,Rowing,Rowing,quadruple sculls with coxswain (4x),"MATIEVSKAIA, Elena",Women,URS,Soviet Union,W,Silver +Moscow,1980,Rowing,Rowing,four without coxswain (4-),"CROSS, Martin",Men,GBR,United Kingdom,M,Bronze +Moscow,1980,Rowing,Rowing,quadruple sculls with coxswain (4x),"BAKOVA, Anka",Women,BUL,Bulgaria,W,Bronze +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"TERESHINA, Elena",Women,URS,Soviet Union,W,Silver +Moscow,1980,Rowing,Rowing,pair-oared shell with coxswain (2+),"SPOHR, Georg",Men,GDR,East Germany,M,Gold +Moscow,1980,Rowing,Rowing,single sculls (1x),"KERSTEN, Peter",Men,GDR,East Germany,M,Bronze +Moscow,1980,Rowing,Rowing,quadruple sculls without coxswain (4x),"DOVGAN, Nikolai",Men,URS,Soviet Union,M,Silver +Moscow,1980,Rowing,Rowing,quadruple sculls without coxswain (4x),"DOBREV, Bogdan",Men,BUL,Bulgaria,M,Bronze +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"DMITRIENKO, Grigori",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Rowing,Rowing,coxless pair (2-),"CARMICHAEL, Malcolm",Men,GBR,United Kingdom,M,Bronze +Moscow,1980,Rowing,Rowing,four-oared shell with coxswain (4-),"WENZEL, Kirsten",Women,GDR,East Germany,W,Gold +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"CONSTANTINESCU, Maria",Women,ROU,Romania,W,Bronze +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"STETSENKO, Tatiana",Women,URS,Soviet Union,W,Silver +Moscow,1980,Rowing,Rowing,four-oared shell with coxswain (4-),"GUROVA, Ginka",Women,BUL,Bulgaria,W,Silver +Moscow,1980,Rowing,Rowing,quadruple sculls with coxswain (4x),"ZOBELT, Roswietha",Women,GDR,East Germany,W,Gold +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"LOHS-KUHN, Gabriele",Women,GDR,East Germany,W,Gold +Moscow,1980,Rowing,Rowing,double sculls (2x),"PANCIC, Zoran",Men,YUG,Yugoslavia,M,Silver +Moscow,1980,Rowing,Rowing,quadruple sculls without coxswain (4x),"HEPPNER, Uwe",Men,GDR,East Germany,M,Gold +Moscow,1980,Rowing,Rowing,four-oared shell with coxswain (4-),"MODEVA, Mariika",Women,BUL,Bulgaria,W,Silver +Moscow,1980,Rowing,Rowing,quadruple sculls with coxswain (4x),"PUSTOVIT, Antonina",Women,URS,Soviet Union,W,Silver +Moscow,1980,Rowing,Rowing,coxless pair (2-),"LANDVOIGT, Bernd",Men,GDR,East Germany,M,Gold +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"FRIEDRICH, Jörg",Men,GDR,East Germany,M,Gold +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"PRITCHARD, John",Men,GBR,United Kingdom,M,Silver +Moscow,1980,Rowing,Rowing,four without coxswain (4-),"DECKER, Andreas",Men,GDR,East Germany,M,Gold +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"RICHTER, Ilona",Women,GDR,East Germany,W,Gold +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"ILIUTA, Ana",Women,ROU,Romania,W,Bronze +Moscow,1980,Rowing,Rowing,four-oared shell with coxswain (4-),"KRISHIANIS, Dimant",Men,URS,Soviet Union,M,Silver +Moscow,1980,Rowing,Rowing,single sculls (1x),"YAKUSHA, Vasili",Men,URS,Soviet Union,M,Silver +Moscow,1980,Rowing,Rowing,pair without coxswain (2-),"STEINDORF, Ute",Women,GDR,East Germany,W,Gold +Moscow,1980,Rowing,Rowing,four-oared shell with coxswain (4-),"FILIPOVA, Nadezhda",Women,BUL,Bulgaria,W,Silver +Moscow,1980,Rowing,Rowing,four-oared shell with coxswain (4-),"SEMENOVA, Svetlana",Women,URS,Soviet Union,W,Bronze +Moscow,1980,Rowing,Rowing,four-oared shell with coxswain (4-),"TIKMERS, Zhorzh",Men,URS,Soviet Union,M,Silver +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"KOPPE, Hans-Peter",Men,GDR,East Germany,M,Gold +Moscow,1980,Rowing,Rowing,quadruple sculls with coxswain (4x),"CHEREMISINA, Nina",Women,URS,Soviet Union,W,Silver +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"DÜHRING, Uwe",Men,GDR,East Germany,M,Gold +Moscow,1980,Rowing,Rowing,four-oared shell with coxswain (4-),"SAALFELD, Romy",Women,GDR,East Germany,W,Gold +Moscow,1980,Rowing,Rowing,four-oared shell with coxswain (4-),"STELLAK, Grzegorz",Men,POL,Poland,M,Bronze +Moscow,1980,Rowing,Rowing,pair without coxswain (2-),"KLIER, Cornelia",Women,GDR,East Germany,W,Gold +Moscow,1980,Rowing,Rowing,four-oared shell with coxswain (4-),"DÖHN, Gottfried",Men,GDR,East Germany,M,Gold +Moscow,1980,Rowing,Rowing,quadruple sculls with coxswain (4x),"REINHARD, Sybille",Women,GDR,East Germany,W,Gold +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"WHITWELL, Allan",Men,GBR,United Kingdom,M,Silver +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"BONDAR, Elena",Women,ROU,Romania,W,Bronze +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"NEISSER, Kersten",Women,GDR,East Germany,W,Gold +Moscow,1980,Rowing,Rowing,quadruple sculls with coxswain (4x),"SERBEZOVA, Mariana",Women,BUL,Bulgaria,W,Bronze +Moscow,1980,Rowing,Rowing,coxless pair (2-),"PIMENOV, Yuri",Men,URS,Soviet Union,M,Silver +Moscow,1980,Rowing,Rowing,four-oared shell with coxswain (4-),"KRISHIANIS, Dzintars",Men,URS,Soviet Union,M,Silver +Moscow,1980,Rowing,Rowing,pair without coxswain (2-),"KOSCIANSKA, Czeslawa",Women,POL,Poland,W,Silver +Moscow,1980,Rowing,Rowing,four-oared shell with coxswain (4-),"TOMASIAK, Adam",Men,POL,Poland,M,Bronze +Moscow,1980,Rowing,Rowing,four-oared shell with coxswain (4-),"FRÖHLICH, Silvia",Women,GDR,East Germany,W,Gold +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"PRISHCHEPA, Nadezhda",Women,URS,Soviet Union,W,Silver +Moscow,1980,Rowing,Rowing,four-oared shell with coxswain (4-),"VELINOVA, Iskra",Women,BUL,Bulgaria,W,Silver +Moscow,1980,Rowing,Rowing,double sculls (2x),"DREIFKE, Joachim",Men,GDR,East Germany,M,Gold +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"MCGOWAN, Malkolm",Men,GBR,United Kingdom,M,Silver +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"DOBRITOIU, Elena",Women,ROU,Romania,W,Bronze +Moscow,1980,Rowing,Rowing,four-oared shell with coxswain (4-),"GARONSKIS, Artur",Men,URS,Soviet Union,M,Silver +Moscow,1980,Rowing,Rowing,four without coxswain (4-),"TOWNSEND, David",Men,GBR,United Kingdom,M,Bronze +Moscow,1980,Rowing,Rowing,four-oared shell with coxswain (4-),"SOVETNIKOVA, Galina",Women,URS,Soviet Union,W,Bronze +Moscow,1980,Rowing,Rowing,double sculls (2x),"WESTPHAL, Heidi",Women,GDR,East Germany,W,Silver +Moscow,1980,Rowing,Rowing,four-oared shell with coxswain (4-),"STADNIUK, Ryszard",Men,POL,Poland,M,Bronze +Moscow,1980,Rowing,Rowing,quadruple sculls with coxswain (4x),"WEIGELT-BUHR, Liane",Women,GDR,East Germany,W,Gold +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"MCDOUGALL, Duncan",Men,GBR,United Kingdom,M,Silver +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"KARNATZ, Ulrich",Men,GDR,East Germany,M,Gold +Moscow,1980,Rowing,Rowing,quadruple sculls with coxswain (4x),"VASILCHENKO, Olga",Women,URS,Soviet Union,W,Silver +Moscow,1980,Rowing,Rowing,quadruple sculls with coxswain (4x),"LAU, Jutta",Women,GDR,East Germany,W,Gold +Moscow,1980,Rowing,Rowing,four-oared shell with coxswain (4-),"TODOROVA, Rita",Women,BUL,Bulgaria,W,Silver +Moscow,1980,Rowing,Rowing,four without coxswain (4-),"ELISEEV, Vitali",Men,URS,Soviet Union,M,Silver +Moscow,1980,Rowing,Rowing,double sculls (2x),"STANULOV, Milorad",Men,YUG,Yugoslavia,M,Silver +Moscow,1980,Rowing,Rowing,pair-oared shell with coxswain (2+),"LUKYANOV, Aleksandr",Men,URS,Soviet Union,M,Silver +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"HÖING, Bernd",Men,GDR,East Germany,M,Gold +Moscow,1980,Rowing,Rowing,single sculls (1x),"DUMCHEVA, Antonina",Women,URS,Soviet Union,W,Silver +Moscow,1980,Rowing,Rowing,coxless pair (2-),"LANDVOIGT, Jörg",Men,GDR,East Germany,M,Gold +Moscow,1980,Rowing,Rowing,quadruple sculls without coxswain (4x),"KLESHNEV, Valeri",Men,URS,Soviet Union,M,Silver +Moscow,1980,Rowing,Rowing,quadruple sculls without coxswain (4x),"DUNDR, Frank",Men,GDR,East Germany,M,Gold +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"CLAY, Henry",Men,GBR,United Kingdom,M,Silver +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"PIVOVAROVA, Olga",Women,URS,Soviet Union,W,Silver +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"PINTSKUS, Ionas",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Rowing,Rowing,four-oared shell with coxswain (4-),"NOWAK, Grzegorz",Men,POL,Poland,M,Bronze +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"ZHULINA, Valentina",Women,URS,Soviet Union,W,Silver +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"FRINTU, Rodica",Women,ROU,Romania,W,Bronze +Moscow,1980,Rowing,Rowing,four-oared shell with coxswain (4-),"DIESSNER, Ullrich",Men,GDR,East Germany,M,Gold +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"KNETSCH-KÖPKE, Christiane",Women,GDR,East Germany,W,Gold +Moscow,1980,Rowing,Rowing,pair without coxswain (2-),"GRUITCHEVA-KUBATOVA, Stoyanka",Women,BUL,Bulgaria,W,Bronze +Moscow,1980,Rowing,Rowing,four-oared shell with coxswain (4-),"BERZINSH, Yuris",Men,URS,Soviet Union,M,Silver +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"MOYNIHAN, Colin",Men,GBR,United Kingdom,M,Silver +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"PREOBRAZHENSKAIA, Nina",Women,URS,Soviet Union,W,Silver +Moscow,1980,Rowing,Rowing,quadruple sculls without coxswain (4x),"NIKOLOV, Mintcho",Men,BUL,Bulgaria,M,Bronze +Moscow,1980,Rowing,Rowing,four without coxswain (4-),"SEMMLER, Stefan",Men,GDR,East Germany,M,Gold +Moscow,1980,Rowing,Rowing,eight with coxswain (8+),"SANDIG, Marita",Women,GDR,East Germany,W,Gold +Moscow,1980,Rowing,Rowing,pair-oared shell with coxswain (2+),"CELENT, Zlatko",Men,YUG,Yugoslavia,M,Bronze +Moscow,1980,Rowing,Rowing,double sculls (2x),"VOCHOSKA, Vaclav",Men,TCH,Czechoslovakia,M,Bronze +Moscow,1980,Sailing,Sailing,Tornado - Multihull,"BJORKSTROM, Lars Sigurd",Men,BRA,Brazil,X,Gold +Moscow,1980,Sailing,Sailing,two-person keelboat open (Star),"MANKIN, Valentyn",Men,URS,Soviet Union,X,Gold +Moscow,1980,Sailing,Sailing,fleet/match race keelboat open (Soling),"POLYAKOV, Nikolai",Men,URS,Soviet Union,X,Silver +Moscow,1980,Sailing,Sailing,single-handed dinghy (Finn),"RECHARDT, Esko",Men,FIN,Finland,M,Gold +Moscow,1980,Sailing,Sailing,Tornado - Multihull,"KJERGARD, Per",Men,DEN,Denmark,X,Silver +Moscow,1980,Sailing,Sailing,470 - Two Person Dinghy,"LINDGREN, Jouko",Men,FIN,Finland,M,Bronze +Moscow,1980,Sailing,Sailing,470 - Two Person Dinghy,"PENIDO, Eduardo Henrique",Men,BRA,Brazil,M,Gold +Moscow,1980,Sailing,Sailing,Tornado - Multihull,"RAGNARSSON, Jörgen",Men,SWE,Sweden,X,Bronze +Moscow,1980,Sailing,Sailing,fleet/match race keelboat open (Soling),"BUDNIKOV, Aleksandr",Men,URS,Soviet Union,X,Silver +Moscow,1980,Sailing,Sailing,two-person keelboat open (Star),"MUZYCHENKO, Aleksandr",Men,URS,Soviet Union,X,Gold +Moscow,1980,Sailing,Sailing,single-handed dinghy (Finn),"BALASHOV, Andrei",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Sailing,Sailing,Tornado - Multihull,"MARSTRÖM, Göran",Men,SWE,Sweden,X,Bronze +Moscow,1980,Sailing,Sailing,fleet/match race keelboat open (Soling),"JENSEN, Poul Richard Hoj",Men,DEN,Denmark,X,Gold +Moscow,1980,Sailing,Sailing,flying dutchman,"ABASCAL GARCIA, Alejandro",Men,ESP,Spain,X,Gold +Moscow,1980,Sailing,Sailing,two-person keelboat open (Star),"FERSTL, Karl",Men,AUT,Austria,X,Silver +Moscow,1980,Sailing,Sailing,single-handed dinghy (Finn),"MAYRHOFER, Wolfgang",Men,AUT,Austria,M,Silver +Moscow,1980,Sailing,Sailing,flying dutchman,"WILKINSON, James",Men,IRL,Ireland,X,Silver +Moscow,1980,Sailing,Sailing,flying dutchman,"NOGUER CASTELLVI, Miguel",Men,ESP,Spain,X,Gold +Moscow,1980,Sailing,Sailing,470 - Two Person Dinghy,"SWENSSON, Egbert",Men,GDR,East Germany,M,Silver +Moscow,1980,Sailing,Sailing,fleet/match race keelboat open (Soling),"GAVRILIS, Anastassios",Men,GRE,Greece,X,Bronze +Moscow,1980,Sailing,Sailing,fleet/match race keelboat open (Soling),"RAPANAKIS, Aristidis",Men,GRE,Greece,X,Bronze +Moscow,1980,Sailing,Sailing,fleet/match race keelboat open (Soling),"BANDOLOWSKI, Valdemar",Men,DEN,Denmark,X,Gold +Moscow,1980,Sailing,Sailing,two-person keelboat open (Star),"RAUDASCHL, Hubert",Men,AUT,Austria,X,Silver +Moscow,1980,Sailing,Sailing,fleet/match race keelboat open (Soling),"HANSEN, Erik Hermann",Men,DEN,Denmark,X,Gold +Moscow,1980,Sailing,Sailing,flying dutchman,"DETRE, Zsolt",Men,HUN,Hungary,X,Bronze +Moscow,1980,Sailing,Sailing,470 - Two Person Dinghy,"TALLBERG, Georg",Men,FIN,Finland,M,Bronze +Moscow,1980,Sailing,Sailing,470 - Two Person Dinghy,"SOARES, Marcos Pinto Rizzo",Men,BRA,Brazil,M,Gold +Moscow,1980,Sailing,Sailing,flying dutchman,"WILKINS, David",Men,IRL,Ireland,X,Silver +Moscow,1980,Sailing,Sailing,Tornado - Multihull,"DUE, Peter",Men,DEN,Denmark,X,Silver +Moscow,1980,Sailing,Sailing,flying dutchman,"DETRE, Szabolcs",Men,HUN,Hungary,X,Bronze +Moscow,1980,Sailing,Sailing,two-person keelboat open (Star),"PERABONI, Alfio",Men,ITA,Italy,X,Bronze +Moscow,1980,Sailing,Sailing,fleet/match race keelboat open (Soling),"BOUDOURIS, Anastassios",Men,GRE,Greece,X,Bronze +Moscow,1980,Sailing,Sailing,470 - Two Person Dinghy,"BOROWSKI, Jörn",Men,GDR,East Germany,M,Silver +Moscow,1980,Sailing,Sailing,fleet/match race keelboat open (Soling),"BUDNIKOV, Boris",Men,URS,Soviet Union,X,Silver +Moscow,1980,Sailing,Sailing,Tornado - Multihull,"WELTER, Alexandre",Men,BRA,Brazil,X,Gold +Moscow,1980,Sailing,Sailing,two-person keelboat open (Star),"GORLA, Giorgio",Men,ITA,Italy,X,Bronze +Moscow,1980,Shooting,Shooting,25m rapid fire pistol (60 shots),"ION, Corneliu",Men,ROU,Romania,X,Gold +Moscow,1980,Shooting,Shooting,50m pistol (60 shots),"MELENTIEV, Aleksandr",Men,URS,Soviet Union,X,Gold +Moscow,1980,Shooting,Shooting,50m pistol (60 shots),"DIAKOV, Lubtcho",Men,BUL,Bulgaria,X,Bronze +Moscow,1980,Shooting,Shooting,50m pistol (60 shots),"VOLLMAR, Harald",Men,GDR,East Germany,X,Silver +Moscow,1980,Shooting,Shooting,trap (125 targets),"DAMME, Jörg",Men,GDR,East Germany,X,Bronze +Moscow,1980,Shooting,Shooting,skeet (125 targets),"CASTRILLO GARCIA, Roberto",Men,CUB,Cuba,X,Bronze +Moscow,1980,Shooting,Shooting,50m rifle prone (60 shots),"VARGA, Karoly",Men,HUN,Hungary,X,Gold +Moscow,1980,Shooting,Shooting,50m rifle 3 positions (3x40 shots),"VLASOV, Viktor",Men,URS,Soviet Union,X,Gold +Moscow,1980,Shooting,Shooting,trap (125 targets),"GIOVANNETTI, Luciano",Men,ITA,Italy,X,Gold +Moscow,1980,Shooting,Shooting,50m rifle 3 positions (3x40 shots),"HARTSTEIN, Bernd",Men,GDR,East Germany,X,Silver +Moscow,1980,Shooting,Shooting,skeet (125 targets),"RASMUSSEN, Hans Kjeld",Men,DEN,Denmark,X,Gold +Moscow,1980,Shooting,Shooting,50m rifle prone (60 shots),"ZAPRIANOV, Petar",Men,BUL,Bulgaria,X,Bronze +Moscow,1980,Shooting,Shooting,50m rifle 3 positions (3x40 shots),"JOHANSSON, Sven",Men,SWE,Sweden,X,Bronze +Moscow,1980,Shooting,Shooting,50m running target (30+30 shots),"PFEFFER, Thomas",Men,GDR,East Germany,X,Silver +Moscow,1980,Shooting,Shooting,skeet (125 targets),"CARLSSON, Lars-Göran",Men,SWE,Sweden,X,Silver +Moscow,1980,Shooting,Shooting,25m rapid fire pistol (60 shots),"PETRITSCH, Gerhard",Men,AUT,Austria,X,Bronze +Moscow,1980,Shooting,Shooting,50m rifle prone (60 shots),"HEILFORT, Hellfried",Men,GDR,East Germany,X,Silver +Moscow,1980,Shooting,Shooting,50m running target (30+30 shots),"GAZOV, Aleksandr",Men,URS,Soviet Union,X,Bronze +Moscow,1980,Shooting,Shooting,trap (125 targets),"YAMBULATOV, Rustam",Men,URS,Soviet Union,X,Silver +Moscow,1980,Shooting,Shooting,25m rapid fire pistol (60 shots),"WIEFEL, Jürgen",Men,GDR,East Germany,X,Silver +Moscow,1980,Shooting,Shooting,50m running target (30+30 shots),"SOKOLOV, Igor",Men,URS,Soviet Union,X,Gold +Moscow,1980,Volleyball,Volleyball,volleyball,"DIMITROVA, Rositsa",Women,BUL,Bulgaria,W,Bronze +Moscow,1980,Volleyball,Volleyball,volleyball,"STOIANOV, Khristo",Men,BUL,Bulgaria,M,Silver +Moscow,1980,Volleyball,Volleyball,volleyball,"RADZEVICH, Nadezhda",Women,URS,Soviet Union,W,Gold +Moscow,1980,Volleyball,Volleyball,volleyball,"LEHMANN, Heike",Women,GDR,East Germany,W,Silver +Moscow,1980,Volleyball,Volleyball,volleyball,"HEIM, Andrea",Women,GDR,East Germany,W,Silver +Moscow,1980,Volleyball,Volleyball,volleyball,"VALTCHEV, Emil",Men,BUL,Bulgaria,M,Silver +Moscow,1980,Volleyball,Volleyball,volleyball,"POP, Neculae Vasile",Men,ROU,Romania,M,Bronze +Moscow,1980,Volleyball,Volleyball,volleyball,"SIMEONOV, Kaspar",Men,BUL,Bulgaria,M,Silver +Moscow,1980,Volleyball,Volleyball,volleyball,"STANCHEVA, Galina",Women,BUL,Bulgaria,W,Bronze +Moscow,1980,Volleyball,Volleyball,volleyball,"MACAVEI, Sorin",Men,ROU,Romania,M,Bronze +Moscow,1980,Volleyball,Volleyball,volleyball,"STOIAN, Nicu",Men,ROU,Romania,M,Bronze +Moscow,1980,Volleyball,Volleyball,volleyball,"RAZUMOVA, Natalia",Women,URS,Soviet Union,W,Gold +Moscow,1980,Volleyball,Volleyball,volleyball,"MANOLE, Viorel",Men,ROU,Romania,M,Bronze +Moscow,1980,Volleyball,Volleyball,volleyball,"ZAITSEV, Viacheslav",Men,URS,Soviet Union,M,Gold +Moscow,1980,Volleyball,Volleyball,volleyball,"KAICHEVA, Rumiana",Women,BUL,Bulgaria,W,Bronze +Moscow,1980,Volleyball,Volleyball,volleyball,"GERASIMOVA, Margarita",Women,BUL,Bulgaria,W,Bronze +Moscow,1980,Volleyball,Volleyball,volleyball,"DOROKHOV, Vladimir",Men,URS,Soviet Union,M,Gold +Moscow,1980,Volleyball,Volleyball,volleyball,"PANCHENKO, Yuri",Men,URS,Soviet Union,M,Gold +Moscow,1980,Volleyball,Volleyball,volleyball,"CHERNYSHEV, Vladimir",Men,URS,Soviet Union,M,Gold +Moscow,1980,Volleyball,Volleyball,volleyball,"FETZER, Brigitte",Women,GDR,East Germany,W,Silver +Moscow,1980,Volleyball,Volleyball,volleyball,"SCHULTZ, Annette",Women,GDR,East Germany,W,Silver +Moscow,1980,Volleyball,Volleyball,volleyball,"MUMMHARDT, Christine",Women,GDR,East Germany,W,Silver +Moscow,1980,Volleyball,Volleyball,volleyball,"BULLIN, Katharina",Women,GDR,East Germany,W,Silver +Moscow,1980,Volleyball,Volleyball,volleyball,"LOGINOVA, Lidia",Women,URS,Soviet Union,W,Gold +Moscow,1980,Volleyball,Volleyball,volleyball,"STEREA, Constantin",Men,ROU,Romania,M,Bronze +Moscow,1980,Volleyball,Volleyball,volleyball,"KRIVOV, Valeri",Men,URS,Soviet Union,M,Gold +Moscow,1980,Volleyball,Volleyball,volleyball,"ILIEVA, Valentina",Women,BUL,Bulgaria,W,Bronze +Moscow,1980,Volleyball,Volleyball,volleyball,"WESTENDORF, Anke",Women,GDR,East Germany,W,Silver +Moscow,1980,Volleyball,Volleyball,volleyball,"ENESCU, Günther",Men,ROU,Romania,M,Bronze +Moscow,1980,Volleyball,Volleyball,volleyball,"GOGOVA, Tania",Women,BUL,Bulgaria,W,Bronze +Moscow,1980,Volleyball,Volleyball,volleyball,"TODOROV, Mitko",Men,BUL,Bulgaria,M,Silver +Moscow,1980,Volleyball,Volleyball,volleyball,"GIRLEANU, Dan",Men,ROU,Romania,M,Bronze +Moscow,1980,Volleyball,Volleyball,volleyball,"GUNCHEV, Stoian",Men,BUL,Bulgaria,M,Silver +Moscow,1980,Volleyball,Volleyball,volleyball,"KONDRA, Vladimir",Men,URS,Soviet Union,M,Gold +Moscow,1980,Volleyball,Volleyball,volleyball,"MOLIBOGA, Oleg",Men,URS,Soviet Union,M,Gold +Moscow,1980,Volleyball,Volleyball,volleyball,"LOOR, Viliar",Men,URS,Soviet Union,M,Gold +Moscow,1980,Volleyball,Volleyball,volleyball,"BORISOVA, Verka",Women,BUL,Bulgaria,W,Bronze +Moscow,1980,Volleyball,Volleyball,volleyball,"KOSTRZEWA, Ute",Women,GDR,East Germany,W,Silver +Moscow,1980,Volleyball,Volleyball,volleyball,"AKHAMINOVA, Elena",Women,URS,Soviet Union,W,Gold +Moscow,1980,Volleyball,Volleyball,volleyball,"DUMANOIU, Laurentiu",Men,ROU,Romania,M,Bronze +Moscow,1980,Volleyball,Volleyball,volleyball,"NIKISHINA, Svetlana",Women,URS,Soviet Union,W,Gold +Moscow,1980,Volleyball,Volleyball,volleyball,"ROFFEIS, Karla",Women,GDR,East Germany,W,Silver +Moscow,1980,Volleyball,Volleyball,volleyball,"MINA, Florin",Men,ROU,Romania,M,Bronze +Moscow,1980,Volleyball,Volleyball,volleyball,"PUSCHEL, Karin",Women,GDR,East Germany,W,Silver +Moscow,1980,Volleyball,Volleyball,volleyball,"ANGELOV, Yordan",Men,BUL,Bulgaria,M,Silver +Moscow,1980,Volleyball,Volleyball,volleyball,"DIMITROV, Stefan",Men,BUL,Bulgaria,M,Silver +Moscow,1980,Volleyball,Volleyball,volleyball,"PETKOV, Petko",Men,BUL,Bulgaria,M,Silver +Moscow,1980,Volleyball,Volleyball,volleyball,"BOZHURINA, Tsvetana",Women,BUL,Bulgaria,W,Bronze +Moscow,1980,Volleyball,Volleyball,volleyball,"ILIEV, Khristo",Men,BUL,Bulgaria,M,Silver +Moscow,1980,Volleyball,Volleyball,volleyball,"PETRUNOVA, Silva",Women,BUL,Bulgaria,W,Bronze +Moscow,1980,Volleyball,Volleyball,volleyball,"LASHCHENOV, Fiodor",Men,URS,Soviet Union,M,Gold +Moscow,1980,Volleyball,Volleyball,volleyball,"PAVLOVA, Larisa",Women,URS,Soviet Union,W,Gold +Moscow,1980,Volleyball,Volleyball,volleyball,"CHERNYSHOVA, Liudmila",Women,URS,Soviet Union,W,Gold +Moscow,1980,Volleyball,Volleyball,volleyball,"CATA-CHITIGA, Marius",Men,ROU,Romania,M,Bronze +Moscow,1980,Volleyball,Volleyball,volleyball,"DIMITROV, Dimitr",Men,BUL,Bulgaria,M,Silver +Moscow,1980,Volleyball,Volleyball,volleyball,"SELIVANOV, Pavel",Men,URS,Soviet Union,M,Gold +Moscow,1980,Volleyball,Volleyball,volleyball,"DIMITROVA, Tania",Women,BUL,Bulgaria,W,Bronze +Moscow,1980,Volleyball,Volleyball,volleyball,"KOZYREVA, Liubov",Women,URS,Soviet Union,W,Gold +Moscow,1980,Volleyball,Volleyball,volleyball,"SOLOVOVA, Olga",Women,URS,Soviet Union,W,Gold +Moscow,1980,Volleyball,Volleyball,volleyball,"OROS, Corneliu",Men,ROU,Romania,M,Bronze +Moscow,1980,Volleyball,Volleyball,volleyball,"SCHMIDT, Martina",Women,GDR,East Germany,W,Silver +Moscow,1980,Volleyball,Volleyball,volleyball,"BADULINA, Svetlana",Women,URS,Soviet Union,W,Gold +Moscow,1980,Volleyball,Volleyball,volleyball,"GEORGIEVA, Maia",Women,BUL,Bulgaria,W,Bronze +Moscow,1980,Volleyball,Volleyball,volleyball,"MAKOGONOVA, Irina",Women,URS,Soviet Union,W,Gold +Moscow,1980,Volleyball,Volleyball,volleyball,"TSANOV, Tsano",Men,BUL,Bulgaria,M,Silver +Moscow,1980,Volleyball,Volleyball,volleyball,"ERMILOV, Aleksandr",Men,URS,Soviet Union,M,Gold +Moscow,1980,Volleyball,Volleyball,volleyball,"CHIFU, Valter Corneliu",Men,ROU,Romania,M,Bronze +Moscow,1980,Volleyball,Volleyball,volleyball,"KHRISTOLOVA, Anka",Women,BUL,Bulgaria,W,Bronze +Moscow,1980,Volleyball,Volleyball,volleyball,"CZEKALLA, Barbara",Women,GDR,East Germany,W,Silver +Moscow,1980,Volleyball,Volleyball,volleyball,"SAVIN, Aleksandr",Men,URS,Soviet Union,M,Gold +Moscow,1980,Volleyball,Volleyball,volleyball,"ZLATANOV, Dimitr",Men,BUL,Bulgaria,M,Silver +Moscow,1980,Volleyball,Volleyball,volleyball,"ANDREIUK, Elena",Women,URS,Soviet Union,W,Gold +Moscow,1980,Weightlifting,Weightlifting,"82.5 - 90kg, total (middle-heavyweight)","BACZAKO, Peter",Men,HUN,Hungary,M,Gold +Moscow,1980,Weightlifting,Weightlifting,"75 - 82.5kg, total (light-heavyweight)","POLIACIK, Dusan",Men,TCH,Czechoslovakia,M,Bronze +Moscow,1980,Weightlifting,Weightlifting,"+ 110kg, total (super heavyweight)","RAKHMANOV, Sultan",Men,URS,Soviet Union,M,Gold +Moscow,1980,Weightlifting,Weightlifting,"56 - 60kg, total (featherweight)","DIMITROV, Stefan",Men,BUL,Bulgaria,M,Silver +Moscow,1980,Weightlifting,Weightlifting,"82.5 - 90kg, total (middle-heavyweight)","ALEKSANDROV, Rumen",Men,BUL,Bulgaria,M,Silver +Moscow,1980,Weightlifting,Weightlifting,"82.5 - 90kg, total (middle-heavyweight)","MANTEK, Frank",Men,GDR,East Germany,M,Bronze +Moscow,1980,Weightlifting,Weightlifting,"60 - 67.5kg, total (lightweight)","KUNZ, Joachim",Men,GDR,East Germany,M,Silver +Moscow,1980,Weightlifting,Weightlifting,"60 - 67.5kg, total (lightweight)","PASHEV, Mincho",Men,BUL,Bulgaria,M,Bronze +Moscow,1980,Weightlifting,Weightlifting,"90 - 100kg, total (first-heavyweight)","BLANCO FERNANDEZ, Alberto",Men,CUB,Cuba,M,Bronze +Moscow,1980,Weightlifting,Weightlifting,"- 52kg, total (flyweight)","OSMONALIEV, Kanybek",Men,URS,Soviet Union,M,Gold +Moscow,1980,Weightlifting,Weightlifting,"90 - 100kg, total (first-heavyweight)","NIKITIN, Igor",Men,URS,Soviet Union,M,Silver +Moscow,1980,Weightlifting,Weightlifting,"67.5 - 75kg, total (middleweight)","PERVI, Aleksandr",Men,URS,Soviet Union,M,Silver +Moscow,1980,Weightlifting,Weightlifting,"75 - 82.5kg, total (light-heavyweight)","BLAGOEV, Blagoi",Men,BUL,Bulgaria,M,Silver +Moscow,1980,Weightlifting,Weightlifting,"100 - 110kg, total (heavyweight)","CHRISTOV, Valentin",Men,BUL,Bulgaria,M,Silver +Moscow,1980,Weightlifting,Weightlifting,"- 52kg, total (flyweight)","HAN, Gyong Si",Men,PRK,"Korea, North",M,Bronze +Moscow,1980,Weightlifting,Weightlifting,"56 - 60kg, total (featherweight)","SEWERYN, Marek",Men,POL,Poland,M,Bronze +Moscow,1980,Weightlifting,Weightlifting,"+ 110kg, total (super heavyweight)","RUTKOWSKI, Tadeusz",Men,POL,Poland,M,Bronze +Moscow,1980,Weightlifting,Weightlifting,"90 - 100kg, total (first-heavyweight)","ZAREMBA, Ota",Men,TCH,Czechoslovakia,M,Gold +Moscow,1980,Weightlifting,Weightlifting,"+ 110kg, total (super heavyweight)","HEUSER, Jürgen",Men,GDR,East Germany,M,Silver +Moscow,1980,Weightlifting,Weightlifting,"67.5 - 75kg, total (middleweight)","KOLEV, Nedelcho",Men,BUL,Bulgaria,M,Bronze +Moscow,1980,Weightlifting,Weightlifting,"56 - 60kg, total (featherweight)","MAZIN, Viktor",Men,URS,Soviet Union,M,Gold +Moscow,1980,Weightlifting,Weightlifting,"- 56kg, total (bantamweight)","SARKISIAN, Yurik",Men,URS,Soviet Union,M,Silver +Moscow,1980,Weightlifting,Weightlifting,"100 - 110kg, total (heavyweight)","SZALAI, György",Men,HUN,Hungary,M,Bronze +Moscow,1980,Weightlifting,Weightlifting,"- 56kg, total (bantamweight)","DEMBONCZYK, Tadeusz",Men,POL,Poland,M,Bronze +Moscow,1980,Weightlifting,Weightlifting,"75 - 82.5kg, total (light-heavyweight)","VARDANIAN, Yurik",Men,URS,Soviet Union,M,Gold +Moscow,1980,Weightlifting,Weightlifting,"100 - 110kg, total (heavyweight)","TARANENKO, Leonid",Men,URS,Soviet Union,M,Gold +Moscow,1980,Weightlifting,Weightlifting,"67.5 - 75kg, total (middleweight)","ZLATEV, Asen",Men,BUL,Bulgaria,M,Gold +Moscow,1980,Weightlifting,Weightlifting,"- 52kg, total (flyweight)","HO, Bong Chol",Men,PRK,"Korea, North",M,Silver +Moscow,1980,Weightlifting,Weightlifting,"- 56kg, total (bantamweight)","NUNEZ AGUIAR, Daniel",Men,CUB,Cuba,M,Gold +Moscow,1980,Weightlifting,Weightlifting,"60 - 67.5kg, total (lightweight)","RUSEV, Yanko",Men,BUL,Bulgaria,M,Gold +Moscow,1980,Wrestling,Wrestling Free.,- 48kg (light-flyweight),"POLLIO, Claudio",Men,ITA,Italy,M,Gold +Moscow,1980,Wrestling,Wrestling Free.,48 - 52kg (flyweight),"BELOGLAZOV, Anatoli",Men,URS,Soviet Union,M,Gold +Moscow,1980,Wrestling,Wrestling Free.,- 48kg (light-flyweight),"KORNILAEV, Sergei",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Wrestling,Wrestling Free.,48 - 52kg (flyweight),"SELIMOV, Nermedin",Men,BUL,Bulgaria,M,Bronze +Moscow,1980,Wrestling,Wrestling Free.,+ 100kg (super heavyweight),"BALLA, Jozsef",Men,HUN,Hungary,M,Silver +Moscow,1980,Wrestling,Wrestling Free.,62 - 68kg (lightweight),"YANKOV, Ivan",Men,BUL,Bulgaria,M,Silver +Moscow,1980,Wrestling,Wrestling Free.,90 - 100kg (heavyweight),"STRNISKO, Julius",Men,TCH,Czechoslovakia,M,Bronze +Moscow,1980,Wrestling,Wrestling Free.,- 48kg (light-flyweight),"JANG, Se Hong",Men,PRK,"Korea, North",M,Silver +Moscow,1980,Wrestling,Wrestling Free.,57 - 62kg (featherweight),"HADJIIOANNIDIS, Georgios",Men,GRE,Greece,M,Bronze +Moscow,1980,Wrestling,Wrestling Free.,52 - 57kg (bantamweight),"OUINBOLD, Dugarsuren",Men,MGL,Mongolia,M,Bronze +Moscow,1980,Wrestling,Wrestling Free.,90 - 100kg (heavyweight),"MATE, Ilia",Men,URS,Soviet Union,M,Gold +Moscow,1980,Wrestling,Wrestling Free.,52 - 57kg (bantamweight),"BELOGLAZOV, Sergei",Men,URS,Soviet Union,M,Gold +Moscow,1980,Wrestling,Wrestling Free.,+ 100kg (super heavyweight),"SANDURSKI, Adam",Men,POL,Poland,M,Bronze +Moscow,1980,Wrestling,Wrestling Free.,62 - 68kg (lightweight),"SEJDI, Saban",Men,YUG,Yugoslavia,M,Bronze +Moscow,1980,Wrestling,Wrestling Free.,82 - 90kg (light-heavyweight),"OGANISIAN, Sanasar",Men,URS,Soviet Union,M,Gold +Moscow,1980,Wrestling,Wrestling Free.,57 - 62kg (featherweight),"DOUKOV, Mikho",Men,BUL,Bulgaria,M,Silver +Moscow,1980,Wrestling,Wrestling Free.,74 - 82kg (middleweight),"ABILOV, Ismail",Men,BUL,Bulgaria,M,Gold +Moscow,1980,Wrestling,Wrestling Free.,90 - 100kg (heavyweight),"CHERVENKOV, Slavcho",Men,BUL,Bulgaria,M,Silver +Moscow,1980,Wrestling,Wrestling Free.,68 - 74kg (welterweight),"KARABIN, Dan",Men,TCH,Czechoslovakia,M,Bronze +Moscow,1980,Wrestling,Wrestling Free.,74 - 82kg (middleweight),"ARATSILOV, Magomedkhan",Men,URS,Soviet Union,M,Silver +Moscow,1980,Wrestling,Wrestling Free.,+ 100kg (super heavyweight),"ANDIEV, Soslan",Men,URS,Soviet Union,M,Gold +Moscow,1980,Wrestling,Wrestling Free.,52 - 57kg (bantamweight),"LI, Ho Pyong",Men,PRK,"Korea, North",M,Silver +Moscow,1980,Wrestling,Wrestling Free.,74 - 82kg (middleweight),"KOVACS, Istvan",Men,HUN,Hungary,M,Bronze +Moscow,1980,Wrestling,Wrestling Free.,48 - 52kg (flyweight),"STECYK, Wladyslaw",Men,POL,Poland,M,Silver +Moscow,1980,Wrestling,Wrestling Free.,62 - 68kg (lightweight),"ABSAIDOV, Saipulla",Men,URS,Soviet Union,M,Gold +Moscow,1980,Wrestling,Wrestling Free.,82 - 90kg (light-heavyweight),"CICHON, Aleksander",Men,POL,Poland,M,Bronze +Moscow,1980,Wrestling,Wrestling Free.,57 - 62kg (featherweight),"ABUSHEV, Magomedgasan",Men,URS,Soviet Union,M,Gold +Moscow,1980,Wrestling,Wrestling Free.,82 - 90kg (light-heavyweight),"NEUPERT, Uwe",Men,GDR,East Germany,M,Silver +Moscow,1980,Wrestling,Wrestling Free.,68 - 74kg (welterweight),"RAICHEV, Valentin",Men,BUL,Bulgaria,M,Gold +Moscow,1980,Wrestling,Wrestling Free.,68 - 74kg (welterweight),"DAVAAJAV, Jamtsying",Men,MGL,Mongolia,M,Silver +Moscow,1980,Wrestling,Wrestling Gre-R,- 48kg (light-flyweight),"SERES, Ferenc",Men,HUN,Hungary,M,Bronze +Moscow,1980,Wrestling,Wrestling Gre-R,74 - 82kg (middleweight),"PAVLOV, Pavel",Men,BUL,Bulgaria,M,Bronze +Moscow,1980,Wrestling,Wrestling Gre-R,68 - 74kg (welterweight),"BYKOV, Anatoli",Men,URS,Soviet Union,M,Silver +Moscow,1980,Wrestling,Wrestling Gre-R,+ 100kg (super heavyweight),"TOMOV, Aleksandr",Men,BUL,Bulgaria,M,Silver +Moscow,1980,Wrestling,Wrestling Gre-R,82 - 90kg (light-heavyweight),"DICU, Petre",Men,ROU,Romania,M,Bronze +Moscow,1980,Wrestling,Wrestling Gre-R,48 - 52kg (flyweight),"RACZ, Lajos",Men,HUN,Hungary,M,Silver +Moscow,1980,Wrestling,Wrestling Gre-R,90 - 100kg (heavyweight),"ANDREI, Vasile",Men,ROU,Romania,M,Bronze +Moscow,1980,Wrestling,Wrestling Gre-R,57 - 62kg (featherweight),"TOTH, Istvan",Men,HUN,Hungary,M,Silver +Moscow,1980,Wrestling,Wrestling Gre-R,74 - 82kg (middleweight),"KORBAN, Gennadi",Men,URS,Soviet Union,M,Gold +Moscow,1980,Wrestling,Wrestling Gre-R,52 - 57kg (bantamweight),"LJUNGBECK, Benni",Men,SWE,Sweden,M,Bronze +Moscow,1980,Wrestling,Wrestling Gre-R,62 - 68kg (lightweight),"SKIOLD, Lars-Erik",Men,SWE,Sweden,M,Bronze +Moscow,1980,Wrestling,Wrestling Gre-R,68 - 74kg (welterweight),"KOCSIS, Ferenc",Men,HUN,Hungary,M,Gold +Moscow,1980,Wrestling,Wrestling Gre-R,68 - 74kg (welterweight),"HUHTALA, Mikko",Men,FIN,Finland,M,Bronze +Moscow,1980,Wrestling,Wrestling Gre-R,82 - 90kg (light-heavyweight),"NOTTNY, Norbert",Men,HUN,Hungary,M,Gold +Moscow,1980,Wrestling,Wrestling Gre-R,+ 100kg (super heavyweight),"BCHARA, Hassan",Men,LIB,Lebanon,M,Bronze +Moscow,1980,Wrestling,Wrestling Gre-R,74 - 82kg (middleweight),"DOLGOWICZ, Jan",Men,POL,Poland,M,Silver +Moscow,1980,Wrestling,Wrestling Gre-R,90 - 100kg (heavyweight),"BIERLA, Roman",Men,POL,Poland,M,Silver +Moscow,1980,Wrestling,Wrestling Gre-R,57 - 62kg (featherweight),"KRAMORENKO, Boris",Men,URS,Soviet Union,M,Bronze +Moscow,1980,Wrestling,Wrestling Gre-R,62 - 68kg (lightweight),"RUSU, Stefan",Men,ROU,Romania,M,Gold +Moscow,1980,Wrestling,Wrestling Gre-R,- 48kg (light-flyweight),"ALEXANDRU, Constantin",Men,ROU,Romania,M,Silver +Moscow,1980,Wrestling,Wrestling Gre-R,82 - 90kg (light-heavyweight),"KANYGIN, Igor",Men,URS,Soviet Union,M,Silver +Moscow,1980,Wrestling,Wrestling Gre-R,48 - 52kg (flyweight),"MLADENOV, Mladen",Men,BUL,Bulgaria,M,Bronze +Moscow,1980,Wrestling,Wrestling Gre-R,57 - 62kg (featherweight),"MIGIAKIS, Stilianos",Men,GRE,Greece,M,Gold +Moscow,1980,Wrestling,Wrestling Gre-R,90 - 100kg (heavyweight),"RAIKOV, Georgi",Men,BUL,Bulgaria,M,Gold +Moscow,1980,Wrestling,Wrestling Gre-R,48 - 52kg (flyweight),"BLAGIDZE, Vakhtang",Men,URS,Soviet Union,M,Gold +Moscow,1980,Wrestling,Wrestling Gre-R,+ 100kg (super heavyweight),"KOLCHINSKY, Aleksandr",Men,URS,Soviet Union,M,Gold +Moscow,1980,Wrestling,Wrestling Gre-R,62 - 68kg (lightweight),"SUPRON, Andrzej",Men,POL,Poland,M,Silver +Moscow,1980,Wrestling,Wrestling Gre-R,52 - 57kg (bantamweight),"LIPIEN, Josef",Men,POL,Poland,M,Silver +Moscow,1980,Wrestling,Wrestling Gre-R,- 48kg (light-flyweight),"USHKEMPIROV, Zhaksylyk",Men,URS,Soviet Union,M,Gold +Moscow,1980,Wrestling,Wrestling Gre-R,52 - 57kg (bantamweight),"SERIKOV, Shamil",Men,URS,Soviet Union,M,Gold +Los Angeles,1984,Aquatics,Diving,3m springboard,"MCCORMICK, Kelly Anne",Women,USA,United States,W,Silver +Los Angeles,1984,Aquatics,Diving,10m platform,"KIMBALL, Bruce D.",Men,USA,United States,M,Silver +Los Angeles,1984,Aquatics,Diving,3m springboard,"MERRIOTT, Ronald Marshall",Men,USA,United States,M,Bronze +Los Angeles,1984,Aquatics,Diving,3m springboard,"SEUFERT, Christina",Women,USA,United States,W,Bronze +Los Angeles,1984,Aquatics,Diving,3m springboard,"TAN, Liang-De",Men,CHN,China,M,Silver +Los Angeles,1984,Aquatics,Diving,3m springboard,"LOUGANIS, Gregory",Men,USA,United States,M,Gold +Los Angeles,1984,Aquatics,Diving,10m platform,"LI, Kong-Zheng",Men,CHN,China,M,Bronze +Los Angeles,1984,Aquatics,Diving,10m platform,"MITCHELL, Michele",Women,USA,United States,W,Silver +Los Angeles,1984,Aquatics,Diving,10m platform,"LOUGANIS, Gregory",Men,USA,United States,M,Gold +Los Angeles,1984,Aquatics,Diving,10m platform,"WYLAND-WILLIAMS, Wendy Lian",Women,USA,United States,W,Bronze +Los Angeles,1984,Aquatics,Diving,3m springboard,"BERNIER, Sylvie",Women,CAN,Canada,W,Gold +Los Angeles,1984,Aquatics,Diving,10m platform,"ZHOU, Ji-Hong",Women,CHN,China,W,Gold +Los Angeles,1984,Aquatics,Swimming,4x100m freestyle relay,"SEICK, Karin",Women,FRG,West Germany,W,Bronze +Los Angeles,1984,Aquatics,Swimming,4x200m freestyle relay,"FAHRNER, Thomas",Men,FRG,West Germany,M,Silver +Los Angeles,1984,Aquatics,Swimming,200m butterfly,"PHILLIPS, Karen",Women,AUS,Australia,W,Silver +Los Angeles,1984,Aquatics,Swimming,4x200m freestyle relay,"KORTHALS, Dirk",Men,FRG,West Germany,M,Silver +Los Angeles,1984,Aquatics,Swimming,200m backstroke,"HENNING, Cameron",Men,CAN,Canada,M,Bronze +Los Angeles,1984,Aquatics,Swimming,800m freestyle,"RICHARDSON, Michele",Women,USA,United States,W,Silver +Los Angeles,1984,Aquatics,Swimming,4x100m medley relay,"ANDREWS, Theresa",Women,USA,United States,W,Gold +Los Angeles,1984,Aquatics,Swimming,4x100m freestyle relay,"VERSTAPPEN, Annemarie",Women,NED,Netherlands,W,Silver +Los Angeles,1984,Aquatics,Swimming,200m backstroke,"CAREY, Richard John",Men,USA,United States,M,Gold +Los Angeles,1984,Aquatics,Swimming,4x100m medley relay,"KERRY, Mark",Men,AUS,Australia,M,Bronze +Los Angeles,1984,Aquatics,Swimming,4x100m medley relay,"STOCKWELL, Marcus",Men,AUS,Australia,M,Bronze +Los Angeles,1984,Aquatics,Swimming,4x100m medley relay,"HASSE, Ute",Women,FRG,West Germany,W,Silver +Los Angeles,1984,Aquatics,Swimming,4x100m medley relay,"MEAGHER, Mary T.",Women,USA,United States,W,Gold +Los Angeles,1984,Aquatics,Swimming,4x100m medley relay,"OTTENBRITE, Anne",Women,CAN,Canada,W,Bronze +Los Angeles,1984,Aquatics,Swimming,100m breaststroke,"LUNDQUIST, Steven K.",Men,USA,United States,M,Gold +Los Angeles,1984,Aquatics,Swimming,4x100m medley relay,"MORALES, Pablo",Men,USA,United States,M,Gold +Los Angeles,1984,Aquatics,Swimming,200m breaststroke,"DAGON, Etienne",Men,SUI,Switzerland,M,Bronze +Los Angeles,1984,Aquatics,Swimming,400m freestyle,"MYKKANEN, John Cary",Men,USA,United States,M,Silver +Los Angeles,1984,Aquatics,Swimming,4x100m medley relay,"BEYERMANN, Ina",Women,FRG,West Germany,W,Silver +Los Angeles,1984,Aquatics,Swimming,100m backstroke,"WEST, Michael",Men,CAN,Canada,M,Bronze +Los Angeles,1984,Aquatics,Swimming,400m freestyle,"CROFT, June",Women,GBR,United Kingdom,W,Bronze +Los Angeles,1984,Aquatics,Swimming,4x200m freestyle relay,"FLOAT, Jeffrey James",Men,USA,United States,M,Gold +Los Angeles,1984,Aquatics,Swimming,4x100m medley relay,"CAULKINS, Tracy Anne",Women,USA,United States,W,Gold +Los Angeles,1984,Aquatics,Swimming,4x100m medley relay,"LUNDQUIST, Steven K.",Men,USA,United States,M,Gold +Los Angeles,1984,Aquatics,Swimming,100m freestyle,"GAINES, Ambrose Iv",Men,USA,United States,M,Gold +Los Angeles,1984,Aquatics,Swimming,400m freestyle,"COHEN, Tiffany Lisa",Women,USA,United States,W,Gold +Los Angeles,1984,Aquatics,Swimming,4x200m freestyle relay,"HOWE, Paul Tony",Men,GBR,United Kingdom,M,Bronze +Los Angeles,1984,Aquatics,Swimming,100m backstroke,"CAREY, Richard John",Men,USA,United States,M,Gold +Los Angeles,1984,Aquatics,Swimming,4x100m freestyle relay,"ZSCHERPE, Iris",Women,FRG,West Germany,W,Bronze +Los Angeles,1984,Aquatics,Swimming,100m backstroke,"WILSON, David Dennis",Men,USA,United States,M,Silver +Los Angeles,1984,Aquatics,Swimming,200m freestyle,"HEATH, Michael Steward",Men,USA,United States,M,Silver +Los Angeles,1984,Aquatics,Swimming,4x100m medley relay,"RAI, Pamela",Women,CAN,Canada,W,Bronze +Los Angeles,1984,Aquatics,Swimming,4x100m freestyle relay,"REIJERS, Desi",Women,NED,Netherlands,W,Silver +Los Angeles,1984,Aquatics,Swimming,100m freestyle,"VERSTAPPEN, Annemarie",Women,NED,Netherlands,W,Bronze +Los Angeles,1984,Aquatics,Swimming,100m backstroke,"ANDREWS, Theresa",Women,USA,United States,W,Gold +Los Angeles,1984,Aquatics,Swimming,4x200m freestyle relay,"HEATH, Michael Steward",Men,USA,United States,M,Gold +Los Angeles,1984,Aquatics,Swimming,200m individual medley,"BAUMANN, Alexander",Men,CAN,Canada,M,Gold +Los Angeles,1984,Aquatics,Swimming,4x100m freestyle relay,"HOGSHEAD, Nancy Lynn",Women,USA,United States,W,Gold +Los Angeles,1984,Aquatics,Swimming,100m butterfly,"GROSS, Michael",Men,FRG,West Germany,M,Gold +Los Angeles,1984,Aquatics,Swimming,400m freestyle,"HARDCASTLE, Sarah",Women,GBR,United Kingdom,W,Silver +Los Angeles,1984,Aquatics,Swimming,1500m freestyle,"DICARLO, George Thomas",Men,USA,United States,M,Silver +Los Angeles,1984,Aquatics,Swimming,4x100m freestyle relay,"FASALA, Gregory",Men,AUS,Australia,M,Silver +Los Angeles,1984,Aquatics,Swimming,4x200m freestyle relay,"GROSS, Michael",Men,FRG,West Germany,M,Silver +Los Angeles,1984,Aquatics,Swimming,4x100m freestyle relay,"STOCKWELL, Marcus",Men,AUS,Australia,M,Silver +Los Angeles,1984,Aquatics,Swimming,200m breaststroke,"BERINGEN, Glenn",Men,AUS,Australia,M,Silver +Los Angeles,1984,Aquatics,Swimming,200m breaststroke,"OTTENBRITE, Anne",Women,CAN,Canada,W,Gold +Los Angeles,1984,Aquatics,Swimming,4x100m freestyle relay,"GAINES, Ambrose Iv",Men,USA,United States,M,Gold +Los Angeles,1984,Aquatics,Swimming,100m butterfly,"SEICK, Karin",Women,FRG,West Germany,W,Bronze +Los Angeles,1984,Aquatics,Swimming,4x100m freestyle relay,"BROOKS, Neil",Men,AUS,Australia,M,Silver +Los Angeles,1984,Aquatics,Swimming,100m breaststroke,"DAVIS, Victor",Men,CAN,Canada,M,Silver +Los Angeles,1984,Aquatics,Swimming,4x200m freestyle relay,"SCHOWTKA, Alexander",Men,FRG,West Germany,M,Silver +Los Angeles,1984,Aquatics,Swimming,4x100m medley relay,"BUCHANAN, Glenn",Men,AUS,Australia,M,Bronze +Los Angeles,1984,Aquatics,Swimming,100m freestyle,"JOHANSSON, Per",Men,SWE,Sweden,M,Bronze +Los Angeles,1984,Aquatics,Swimming,200m butterfly,"VIDAL CASTRO, Rafael Antonio",Men,VEN,Venezuela,M,Bronze +Los Angeles,1984,Aquatics,Swimming,4x100m medley relay,"ABDO, Reema",Women,CAN,Canada,W,Bronze +Los Angeles,1984,Aquatics,Swimming,100m butterfly,"JOHNSON, Jenna Leigh",Women,USA,United States,W,Silver +Los Angeles,1984,Aquatics,Swimming,4x100m freestyle relay,"JOHANSSON, Per",Men,SWE,Sweden,M,Bronze +Los Angeles,1984,Aquatics,Swimming,4x100m freestyle relay,"DELANY, Michael",Men,AUS,Australia,M,Silver +Los Angeles,1984,Aquatics,Swimming,200m backstroke,"WHITE, Amy Lee",Women,USA,United States,W,Silver +Los Angeles,1984,Aquatics,Swimming,400m individual medley,"PRADO, Ricardo",Men,BRA,Brazil,M,Silver +Los Angeles,1984,Aquatics,Swimming,200m freestyle,"GROSS, Michael",Men,FRG,West Germany,M,Gold +Los Angeles,1984,Aquatics,Swimming,4x100m medley relay,"CAREY, Richard John",Men,USA,United States,M,Gold +Los Angeles,1984,Aquatics,Swimming,100m butterfly,"MORALES, Pablo",Men,USA,United States,M,Silver +Los Angeles,1984,Aquatics,Swimming,100m breaststroke,"EVANS, Peter",Men,AUS,Australia,M,Bronze +Los Angeles,1984,Aquatics,Swimming,4x100m medley relay,"GAINES, Ambrose Iv",Men,USA,United States,M,Gold +Los Angeles,1984,Aquatics,Swimming,4x100m freestyle relay,"BARON, Bengt",Men,SWE,Sweden,M,Bronze +Los Angeles,1984,Aquatics,Swimming,4x100m medley relay,"SEICK, Karin",Women,FRG,West Germany,W,Silver +Los Angeles,1984,Aquatics,Swimming,4x100m medley relay,"WEST, Michael",Men,CAN,Canada,M,Silver +Los Angeles,1984,Aquatics,Swimming,200m backstroke,"DELCOURT, Frederic",Men,FRA,France,M,Silver +Los Angeles,1984,Aquatics,Swimming,400m individual medley,"CAULKINS, Tracy Anne",Women,USA,United States,W,Gold +Los Angeles,1984,Aquatics,Swimming,1500m freestyle,"O'BRIEN, Michael Jon",Men,USA,United States,M,Gold +Los Angeles,1984,Aquatics,Swimming,200m butterfly,"SIEBEN, Jonathan",Men,AUS,Australia,M,Gold +Los Angeles,1984,Aquatics,Swimming,100m breaststroke,"OTTENBRITE, Anne",Women,CAN,Canada,W,Silver +Los Angeles,1984,Aquatics,Swimming,4x200m freestyle relay,"COCHRAN, Neil",Men,GBR,United Kingdom,M,Bronze +Los Angeles,1984,Aquatics,Swimming,400m individual medley,"WOODHOUSE, Robert",Men,AUS,Australia,M,Bronze +Los Angeles,1984,Aquatics,Swimming,4x100m freestyle relay,"TORRES, Dara",Women,USA,United States,W,Gold +Los Angeles,1984,Aquatics,Swimming,4x100m medley relay,"PONTING, Thomas",Men,CAN,Canada,M,Silver +Los Angeles,1984,Aquatics,Swimming,200m breaststroke,"RAPP, Susan Gerard",Women,USA,United States,W,Silver +Los Angeles,1984,Aquatics,Swimming,800m freestyle,"COHEN, Tiffany Lisa",Women,USA,United States,W,Gold +Los Angeles,1984,Aquatics,Swimming,4x100m freestyle relay,"SCHUSTER, Susanne",Women,FRG,West Germany,W,Bronze +Los Angeles,1984,Aquatics,Swimming,4x100m medley relay,"HOGSHEAD, Nancy Lynn",Women,USA,United States,W,Gold +Los Angeles,1984,Aquatics,Swimming,4x100m freestyle relay,"VOSKES, Elles",Women,NED,Netherlands,W,Silver +Los Angeles,1984,Aquatics,Swimming,200m individual medley,"HOGSHEAD, Nancy Lynn",Women,USA,United States,W,Silver +Los Angeles,1984,Aquatics,Swimming,4x100m medley relay,"SCHLICHT, Svenja",Women,FRG,West Germany,W,Silver +Los Angeles,1984,Aquatics,Swimming,4x100m freestyle relay,"ORN, Mikael",Men,SWE,Sweden,M,Bronze +Los Angeles,1984,Aquatics,Swimming,4x100m freestyle relay,"HEATH, Michael Steward",Men,USA,United States,M,Gold +Los Angeles,1984,Aquatics,Swimming,800m freestyle,"HARDCASTLE, Sarah",Women,GBR,United Kingdom,W,Bronze +Los Angeles,1984,Aquatics,Swimming,4x100m medley relay,"GOSS, Donald Alexander",Men,CAN,Canada,M,Silver +Los Angeles,1984,Aquatics,Swimming,100m backstroke,"MITCHELL, Elizabeth",Women,USA,United States,W,Silver +Los Angeles,1984,Aquatics,Swimming,200m individual medley,"PEARSON, Michelle",Women,AUS,Australia,W,Bronze +Los Angeles,1984,Aquatics,Swimming,200m breaststroke,"LEMPEREUR, Ingrid",Women,BEL,Belgium,W,Bronze +Los Angeles,1984,Aquatics,Swimming,4x100m freestyle relay,"LEJDSTROM, Thomas",Men,SWE,Sweden,M,Bronze +Los Angeles,1984,Aquatics,Swimming,200m breaststroke,"DAVIS, Victor",Men,CAN,Canada,M,Gold +Los Angeles,1984,Aquatics,Swimming,200m butterfly,"GROSS, Michael",Men,FRG,West Germany,M,Silver +Los Angeles,1984,Aquatics,Swimming,4x100m freestyle relay,"VAN BENTUM, Conny",Women,NED,Netherlands,W,Silver +Los Angeles,1984,Aquatics,Swimming,4x100m medley relay,"DAVIS, Victor",Men,CAN,Canada,M,Silver +Los Angeles,1984,Aquatics,Swimming,200m butterfly,"MEAGHER, Mary T.",Women,USA,United States,W,Gold +Los Angeles,1984,Aquatics,Swimming,400m individual medley,"BAUMANN, Alexander",Men,CAN,Canada,M,Gold +Los Angeles,1984,Aquatics,Swimming,200m backstroke,"DE ROVER, Jolanda",Women,NED,Netherlands,W,Gold +Los Angeles,1984,Aquatics,Swimming,4x100m medley relay,"MAC PHERSON, Michelle",Women,CAN,Canada,W,Bronze +Los Angeles,1984,Aquatics,Swimming,4x100m medley relay,"EVANS, Peter",Men,AUS,Australia,M,Bronze +Los Angeles,1984,Aquatics,Swimming,100m breaststroke,"POIROT, Catherine",Women,FRA,France,W,Bronze +Los Angeles,1984,Aquatics,Swimming,200m individual medley,"CAULKINS, Tracy Anne",Women,USA,United States,W,Gold +Los Angeles,1984,Aquatics,Swimming,200m backstroke,"PATRASCOIU, Aneta",Women,ROU,Romania,W,Bronze +Los Angeles,1984,Aquatics,Swimming,200m individual medley,"MORALES, Pablo",Men,USA,United States,M,Silver +Los Angeles,1984,Aquatics,Swimming,4x200m freestyle relay,"ASTBURY, Andrew",Men,GBR,United Kingdom,M,Bronze +Los Angeles,1984,Aquatics,Swimming,200m freestyle,"VERSTAPPEN, Annemarie",Women,NED,Netherlands,W,Bronze +Los Angeles,1984,Aquatics,Swimming,4x200m freestyle relay,"HAYES, Lawrence Bruce",Men,USA,United States,M,Gold +Los Angeles,1984,Aquatics,Swimming,100m freestyle,"STOCKWELL, Marcus",Men,AUS,Australia,M,Silver +Los Angeles,1984,Aquatics,Swimming,100m freestyle,"HOGSHEAD, Nancy Lynn",Women,USA,United States,W,Gold +Los Angeles,1984,Aquatics,Swimming,100m breaststroke,"VAN STAVEREN, Petra",Women,NED,Netherlands,W,Gold +Los Angeles,1984,Aquatics,Swimming,200m freestyle,"FAHRNER, Thomas",Men,FRG,West Germany,M,Bronze +Los Angeles,1984,Aquatics,Swimming,4x100m freestyle relay,"STEINSEIFER, Carolyn",Women,USA,United States,W,Gold +Los Angeles,1984,Aquatics,Swimming,100m freestyle,"STEINSEIFER, Carolyn",Women,USA,United States,W,Gold +Los Angeles,1984,Aquatics,Swimming,4x200m freestyle relay,"EASTER, Paul Robert",Men,GBR,United Kingdom,M,Bronze +Los Angeles,1984,Aquatics,Swimming,200m freestyle,"WAYTE, Mary Alice",Women,USA,United States,W,Gold +Los Angeles,1984,Aquatics,Swimming,400m individual medley,"LANDELLS, Suzanne",Women,AUS,Australia,W,Silver +Los Angeles,1984,Aquatics,Swimming,4x200m freestyle relay,"LARSON, David Erwin",Men,USA,United States,M,Gold +Los Angeles,1984,Aquatics,Swimming,4x100m freestyle relay,"JOHNSON, Jenna Leigh",Women,USA,United States,W,Gold +Los Angeles,1984,Aquatics,Swimming,4x100m freestyle relay,"PIELKE, Christiane",Women,FRG,West Germany,W,Bronze +Los Angeles,1984,Aquatics,Swimming,1500m freestyle,"PFEIFFER, Stefan",Men,FRG,West Germany,M,Bronze +Los Angeles,1984,Aquatics,Swimming,4x100m freestyle relay,"BIONDI, Matthew",Men,USA,United States,M,Gold +Los Angeles,1984,Aquatics,Swimming,400m freestyle,"LEMBERG, Justin",Men,AUS,Australia,M,Bronze +Los Angeles,1984,Aquatics,Swimming,100m backstroke,"DE ROVER, Jolanda",Women,NED,Netherlands,W,Bronze +Los Angeles,1984,Aquatics,Swimming,200m freestyle,"WOODHEAD, Cynthia Lee",Women,USA,United States,W,Silver +Los Angeles,1984,Aquatics,Swimming,4x100m freestyle relay,"CAVANAUGH, Christopher Carl",Men,USA,United States,M,Gold +Los Angeles,1984,Aquatics,Swimming,400m freestyle,"DICARLO, George Thomas",Men,USA,United States,M,Gold +Los Angeles,1984,Aquatics,Swimming,200m individual medley,"COCHRAN, Neil",Men,GBR,United Kingdom,M,Bronze +Los Angeles,1984,Aquatics,Swimming,100m butterfly,"MEAGHER, Mary T.",Women,USA,United States,W,Gold +Los Angeles,1984,Aquatics,Swimming,400m individual medley,"ZINDLER, Petra",Women,FRG,West Germany,W,Bronze +Los Angeles,1984,Aquatics,Swimming,200m butterfly,"BEYERMANN, Ina",Women,FRG,West Germany,W,Bronze +Los Angeles,1984,Aquatics,Swimming,100m butterfly,"BUCHANAN, Glenn",Men,AUS,Australia,M,Bronze +Los Angeles,1984,Aquatics,Synchronized S.,solo,"RUIZ-CONFORTO, Tracie Lehuanani",Women,USA,United States,W,Gold +Los Angeles,1984,Aquatics,Synchronized S.,solo,"MOTOYOSHI, Miwako",Women,JPN,Japan,W,Bronze +Los Angeles,1984,Aquatics,Synchronized S.,duet,"KIMURA, Saeko",Women,JPN,Japan,W,Bronze +Los Angeles,1984,Aquatics,Synchronized S.,duet,"HAMBROOK, Sharon",Women,CAN,Canada,W,Silver +Los Angeles,1984,Aquatics,Synchronized S.,duet,"RUIZ-CONFORTO, Tracie Lehuanani",Women,USA,United States,W,Gold +Los Angeles,1984,Aquatics,Synchronized S.,solo,"WALDO, Carolyn",Women,CAN,Canada,W,Silver +Los Angeles,1984,Aquatics,Synchronized S.,duet,"COSTIE, Candace",Women,USA,United States,W,Gold +Los Angeles,1984,Aquatics,Synchronized S.,duet,"MOTOYOSHI, Miwako",Women,JPN,Japan,W,Bronze +Los Angeles,1984,Aquatics,Synchronized S.,duet,"KRYCZKA, Kelly",Women,CAN,Canada,W,Silver +Los Angeles,1984,Aquatics,Water polo,water polo,"FERNANDEZ, Armando",Men,FRG,West Germany,M,Bronze +Los Angeles,1984,Aquatics,Water polo,water polo,"FREUND, Roland",Men,FRG,West Germany,M,Bronze +Los Angeles,1984,Aquatics,Water polo,water polo,"OTTO, Frank",Men,FRG,West Germany,M,Bronze +Los Angeles,1984,Aquatics,Water polo,water polo,"SIMAN, John O'Connell",Men,USA,United States,M,Silver +Los Angeles,1984,Aquatics,Water polo,water polo,"DORST, Christopher Taylor",Men,USA,United States,M,Silver +Los Angeles,1984,Aquatics,Water polo,water polo,"BUKIC, Perica",Men,YUG,Yugoslavia,M,Gold +Los Angeles,1984,Aquatics,Water polo,water polo,"HUBER, Thomas",Men,FRG,West Germany,M,Bronze +Los Angeles,1984,Aquatics,Water polo,water polo,"LOEBB, Thomas",Men,FRG,West Germany,M,Bronze +Los Angeles,1984,Aquatics,Water polo,water polo,"SHAW, Timothy Andrew",Men,USA,United States,M,Silver +Los Angeles,1984,Aquatics,Water polo,water polo,"WILSON, Craig Martin",Men,USA,United States,M,Silver +Los Angeles,1984,Aquatics,Water polo,water polo,"ROBERTSON, Kevin George",Men,USA,United States,M,Silver +Los Angeles,1984,Aquatics,Water polo,water polo,"SCHRODER, Jurgen",Men,FRG,West Germany,M,Bronze +Los Angeles,1984,Aquatics,Water polo,water polo,"OBSCHERNIKAT, Werner",Men,FRG,West Germany,M,Bronze +Los Angeles,1984,Aquatics,Water polo,water polo,"ANDRIC, Dragan",Men,YUG,Yugoslavia,M,Gold +Los Angeles,1984,Aquatics,Water polo,water polo,"THEISMANN, Dirk",Men,FRG,West Germany,M,Bronze +Los Angeles,1984,Aquatics,Water polo,water polo,"MILANOVIC, Igor",Men,YUG,Yugoslavia,M,Gold +Los Angeles,1984,Aquatics,Water polo,water polo,"SUKNO, Goran",Men,YUG,Yugoslavia,M,Gold +Los Angeles,1984,Aquatics,Water polo,water polo,"OSSELMANN, Rainer",Men,FRG,West Germany,M,Bronze +Los Angeles,1984,Aquatics,Water polo,water polo,"ROJE, Zoran",Men,YUG,Yugoslavia,M,Gold +Los Angeles,1984,Aquatics,Water polo,water polo,"VULETIC, Bozo",Men,YUG,Yugoslavia,M,Gold +Los Angeles,1984,Aquatics,Water polo,water polo,"KRIVOKAPIC, Milorad",Men,YUG,Yugoslavia,M,Gold +Los Angeles,1984,Aquatics,Water polo,water polo,"DJUHO, Veselin",Men,YUG,Yugoslavia,M,Gold +Los Angeles,1984,Aquatics,Water polo,water polo,"BEBIC, Milivoj",Men,YUG,Yugoslavia,M,Gold +Los Angeles,1984,Aquatics,Water polo,water polo,"CAMPBELL, Jodocus David",Men,USA,United States,M,Silver +Los Angeles,1984,Aquatics,Water polo,water polo,"BURKE, Douglas Lambert",Men,USA,United States,M,Silver +Los Angeles,1984,Aquatics,Water polo,water polo,"MCDONALD, Andrew J.",Men,USA,United States,M,Silver +Los Angeles,1984,Aquatics,Water polo,water polo,"CAMPBELL, George Peter",Men,USA,United States,M,Silver +Los Angeles,1984,Aquatics,Water polo,water polo,"PASKVALIN, Tomislav",Men,YUG,Yugoslavia,M,Gold +Los Angeles,1984,Aquatics,Water polo,water polo,"CHALMOWSKY, Santiago",Men,FRG,West Germany,M,Bronze +Los Angeles,1984,Aquatics,Water polo,water polo,"SCHROEDER, Terence Alan",Men,USA,United States,M,Silver +Los Angeles,1984,Aquatics,Water polo,water polo,"POPOVIC, Andrija",Men,YUG,Yugoslavia,M,Gold +Los Angeles,1984,Aquatics,Water polo,water polo,"HOPPE, Rainer",Men,FRG,West Germany,M,Bronze +Los Angeles,1984,Aquatics,Water polo,water polo,"STAMM, Hagen",Men,FRG,West Germany,M,Bronze +Los Angeles,1984,Aquatics,Water polo,water polo,"FIGUEROA, Gary Lee",Men,USA,United States,M,Silver +Los Angeles,1984,Aquatics,Water polo,water polo,"RÖHLE, Peter",Men,FRG,West Germany,M,Bronze +Los Angeles,1984,Aquatics,Water polo,water polo,"PETROVIC, Zoran",Men,YUG,Yugoslavia,M,Gold +Los Angeles,1984,Aquatics,Water polo,water polo,"LUSIC, Deni",Men,YUG,Yugoslavia,M,Gold +Los Angeles,1984,Aquatics,Water polo,water polo,"VARGAS, Joseph Michael",Men,USA,United States,M,Silver +Los Angeles,1984,Aquatics,Water polo,water polo,"SVENDSEN, Jon Howard",Men,USA,United States,M,Silver +Los Angeles,1984,Archery,Archery,individual FITA round,"KIM, Jin-Ho",Women,KOR,"Korea, South",W,Bronze +Los Angeles,1984,Archery,Archery,individual FITA round,"MCKINNEY, Richard Lee",Men,USA,United States,M,Silver +Los Angeles,1984,Archery,Archery,individual FITA round,"YAMAMOTO, Hiroshi",Men,JPN,Japan,M,Bronze +Los Angeles,1984,Archery,Archery,individual FITA round,"SEO, Hyang-Soon",Women,KOR,"Korea, South",W,Gold +Los Angeles,1984,Archery,Archery,individual FITA round,"PACE, Darrell Owen",Men,USA,United States,M,Gold +Los Angeles,1984,Archery,Archery,individual FITA round,"LI, Ling-Juan",Women,CHN,China,W,Silver +Los Angeles,1984,Athletics,Athletics,4x400m relay,"PETERS, Rotimi",Men,NGR,Nigeria,M,Bronze +Los Angeles,1984,Athletics,Athletics,4x100m relay,"GODDARD-CALLENDER, Beverley",Women,GBR,United Kingdom,W,Bronze +Los Angeles,1984,Athletics,Athletics,high jump,"SJÖBERG, Patrick",Men,SWE,Sweden,M,Silver +Los Angeles,1984,Athletics,Athletics,4x100m relay,"TAYLOR-ISSAJENKO, Angella",Women,CAN,Canada,W,Silver +Los Angeles,1984,Athletics,Athletics,4x400m relay,"BRISCO-HOOKS, Valerie Ann",Women,USA,United States,W,Gold +Los Angeles,1984,Athletics,Athletics,100m hurdles,"STRONG, Shirley",Women,GBR,United Kingdom,W,Silver +Los Angeles,1984,Athletics,Athletics,hammer throw,"TIAINEN, Juha",Men,FIN,Finland,M,Gold +Los Angeles,1984,Athletics,Athletics,4x400m relay,"LEATHERWOOD-KING, Lillie Mae",Women,USA,United States,W,Gold +Los Angeles,1984,Athletics,Athletics,800m,"COE, Sebastian",Men,GBR,United Kingdom,M,Silver +Los Angeles,1984,Athletics,Athletics,4x100m relay,"HUNTE-OAKES, Heather",Women,GBR,United Kingdom,W,Bronze +Los Angeles,1984,Athletics,Athletics,shot put,"LOSCH, Claudia",Women,FRG,West Germany,W,Gold +Los Angeles,1984,Athletics,Athletics,20km walk,"GONZALEZ, Raul",Men,MEX,Mexico,M,Silver +Los Angeles,1984,Athletics,Athletics,100m,"OTTEY-PAGE, Merlene",Women,JAM,Jamaica,W,Bronze +Los Angeles,1984,Athletics,Athletics,400m hurdles,"BROWN, Judith Lynne",Women,USA,United States,W,Silver +Los Angeles,1984,Athletics,Athletics,4x100m relay,"GRADDY, Samuel Louis",Men,USA,United States,M,Gold +Los Angeles,1984,Athletics,Athletics,4x100m relay,"BROWN, Alice Regina",Women,USA,United States,W,Gold +Los Angeles,1984,Athletics,Athletics,shot put,"LOGHIN, Mihaela",Women,ROU,Romania,W,Silver +Los Angeles,1984,Athletics,Athletics,4x400m relay,"AKABUSI, Kriss Kezie Uche",Men,GBR,United Kingdom,M,Silver +Los Angeles,1984,Athletics,Athletics,1500m,"COE, Sebastian",Men,GBR,United Kingdom,M,Gold +Los Angeles,1984,Athletics,Athletics,long jump,"LEWIS, Carl",Men,USA,United States,M,Gold +Los Angeles,1984,Athletics,Athletics,800m,"LOVIN, Fita",Women,ROU,Romania,W,Bronze +Los Angeles,1984,Athletics,Athletics,shot put,"LAUT, David Lester",Men,USA,United States,M,Bronze +Los Angeles,1984,Athletics,Athletics,50km walk,"BELLUCCI, Sandro",Men,ITA,Italy,M,Bronze +Los Angeles,1984,Athletics,Athletics,4x400m relay,"COOK, Gary Peter",Men,GBR,United Kingdom,M,Silver +Los Angeles,1984,Athletics,Athletics,pole vault,"TULLY, Michael Scott",Men,USA,United States,M,Silver +Los Angeles,1984,Athletics,Athletics,high jump,"MEYFARTH, Ulrike",Women,FRG,West Germany,W,Gold +Los Angeles,1984,Athletics,Athletics,decathlon,"HINGSEN, Jurgen",Men,FRG,West Germany,M,Silver +Los Angeles,1984,Athletics,Athletics,decathlon,"WENTZ, Siegfried",Men,FRG,West Germany,M,Bronze +Los Angeles,1984,Athletics,Athletics,5000m,"LEITAO, Antonio",Men,POR,Portugal,M,Bronze +Los Angeles,1984,Athletics,Athletics,400m,"CHEESEBOROUGH, Chandra Danette",Women,USA,United States,W,Silver +Los Angeles,1984,Athletics,Athletics,marathon,"WAITZ-ANDERSEN, Grete",Women,NOR,Norway,W,Silver +Los Angeles,1984,Athletics,Athletics,800m,"BESLIU-MELINTE, Doina",Women,ROU,Romania,W,Gold +Los Angeles,1984,Athletics,Athletics,4x400m relay,"RICHARDSON-BRISCOE, Jillian",Women,CAN,Canada,W,Silver +Los Angeles,1984,Athletics,Athletics,discus throw,"DANNEBERG, Rolf",Men,FRG,West Germany,M,Gold +Los Angeles,1984,Athletics,Athletics,100m hurdles,"TURNER, Kim",Women,USA,United States,W,Bronze +Los Angeles,1984,Athletics,Athletics,200m,"BAPTISTE, Kirk",Men,USA,United States,M,Silver +Los Angeles,1984,Athletics,Athletics,400m,"BRISCO-HOOKS, Valerie Ann",Women,USA,United States,W,Gold +Los Angeles,1984,Athletics,Athletics,javelin throw,"ELDEBRINK, Kenth",Men,SWE,Sweden,M,Bronze +Los Angeles,1984,Athletics,Athletics,200m,"JEFFERSON, Thomas Theodore",Men,USA,United States,M,Bronze +Los Angeles,1984,Athletics,Athletics,1500m,"CRAM, Stephen",Men,GBR,United Kingdom,M,Silver +Los Angeles,1984,Athletics,Athletics,4x100m relay,"HINDS, Sterling",Men,CAN,Canada,M,Bronze +Los Angeles,1984,Athletics,Athletics,200m,"BRISCO-HOOKS, Valerie Ann",Women,USA,United States,W,Gold +Los Angeles,1984,Athletics,Athletics,100m hurdles,"CHARDONNET, Michele",Women,FRA,France,W,Bronze +Los Angeles,1984,Athletics,Athletics,100m,"ASHFORD, Evelyn",Women,USA,United States,W,Gold +Los Angeles,1984,Athletics,Athletics,4x400m relay,"NIX, Sunder L.",Men,USA,United States,M,Gold +Los Angeles,1984,Athletics,Athletics,100m,"LEWIS, Carl",Men,USA,United States,M,Gold +Los Angeles,1984,Athletics,Athletics,20km walk,"DAMILANO, Maurizio",Men,ITA,Italy,M,Bronze +Los Angeles,1984,Athletics,Athletics,4x400m relay,"UGBUSIEN, Moses",Men,NGR,Nigeria,M,Bronze +Los Angeles,1984,Athletics,Athletics,50km walk,"GUSTAFSSON, Bo",Men,SWE,Sweden,M,Silver +Los Angeles,1984,Athletics,Athletics,4x100m relay,"LAWRENCE, Albert",Men,JAM,Jamaica,M,Silver +Los Angeles,1984,Athletics,Athletics,marathon,"TREACY, John",Men,IRL,Ireland,M,Silver +Los Angeles,1984,Athletics,Athletics,hammer throw,"PLOGHAUS, Klaus",Men,FRG,West Germany,M,Bronze +Los Angeles,1984,Athletics,Athletics,triple jump,"CONNOR, Keith",Men,GBR,United Kingdom,M,Bronze +Los Angeles,1984,Athletics,Athletics,hammer throw,"RIEHM, Karl-Hans",Men,FRG,West Germany,M,Silver +Los Angeles,1984,Athletics,Athletics,3000m,"SLY, Wendy",Women,GBR,United Kingdom,W,Silver +Los Angeles,1984,Athletics,Athletics,400m,"MCKAY, Antonio Ricardo",Men,USA,United States,M,Bronze +Los Angeles,1984,Athletics,Athletics,4x100m relay,"WILLIAMS, Desai",Men,CAN,Canada,M,Bronze +Los Angeles,1984,Athletics,Athletics,1500m,"PUICA, Maricica",Women,ROU,Romania,W,Bronze +Los Angeles,1984,Athletics,Athletics,long jump,"IONESCU, Valeria (Vali)",Women,ROU,Romania,W,Silver +Los Angeles,1984,Athletics,Athletics,shot put,"CARTER, Michael D'Andrea",Men,USA,United States,M,Silver +Los Angeles,1984,Athletics,Athletics,3000m steeplechase,"KORIR, Julius",Men,KEN,Kenya,M,Gold +Los Angeles,1984,Athletics,Athletics,200m,"GRIFFITH-JOYNER, Florence",Women,USA,United States,W,Silver +Los Angeles,1984,Athletics,Athletics,50km walk,"GONZALEZ, Raul",Men,MEX,Mexico,M,Gold +Los Angeles,1984,Athletics,Athletics,4x400m relay,"MCKAY, Antonio Ricardo",Men,USA,United States,M,Gold +Los Angeles,1984,Athletics,Athletics,400m hurdles,"EL MOUTAWAKEL, Nawal",Women,MAR,Morocco,W,Gold +Los Angeles,1984,Athletics,Athletics,javelin throw,"SANDERSON, Teresa",Women,GBR,United Kingdom,W,Gold +Los Angeles,1984,Athletics,Athletics,discus throw,"TACU-CRAICIUNESCU, Florenta",Women,ROU,Romania,W,Bronze +Los Angeles,1984,Athletics,Athletics,4x100m relay,"BROWN, Ronald James",Men,USA,United States,M,Gold +Los Angeles,1984,Athletics,Athletics,4x100m relay,"JOHNSON, Ben",Men,CAN,Canada,M,Bronze +Los Angeles,1984,Athletics,Athletics,400m,"SMALLWOOD-COOK, Kathryn",Women,GBR,United Kingdom,W,Bronze +Los Angeles,1984,Athletics,Athletics,1500m,"BESLIU-MELINTE, Doina",Women,ROU,Romania,W,Silver +Los Angeles,1984,Athletics,Athletics,javelin throw,"OTTLEY, David",Men,GBR,United Kingdom,M,Silver +Los Angeles,1984,Athletics,Athletics,4x400m relay,"KILLINGBECK, Molly",Women,CAN,Canada,W,Silver +Los Angeles,1984,Athletics,Athletics,4x100m relay,"SHARPE, Anthony",Men,CAN,Canada,M,Bronze +Los Angeles,1984,Athletics,Athletics,800m,"GALLAGHER, Kimberley Ann",Women,USA,United States,W,Silver +Los Angeles,1984,Athletics,Athletics,100m,"JOHNSON, Ben",Men,CAN,Canada,M,Bronze +Los Angeles,1984,Athletics,Athletics,800m,"JONES, Earl",Men,USA,United States,M,Bronze +Los Angeles,1984,Athletics,Athletics,4x100m relay,"LEWIS, Carl",Men,USA,United States,M,Gold +Los Angeles,1984,Athletics,Athletics,heptathlon,"NUNN-SAUNDERS-CEARNS, Glyniss Leanne",Women,AUS,Australia,W,Gold +Los Angeles,1984,Athletics,Athletics,4x400m relay,"HOWARD, Sherryl Frances",Women,USA,United States,W,Gold +Los Angeles,1984,Athletics,Athletics,10000m,"MUSYOKI, Michael",Men,KEN,Kenya,M,Bronze +Los Angeles,1984,Athletics,Athletics,100m hurdles,"FITZGERALD-BROWN, Benita",Women,USA,United States,W,Gold +Los Angeles,1984,Athletics,Athletics,4x100m relay,"SMALLWOOD-COOK, Kathryn",Women,GBR,United Kingdom,W,Bronze +Los Angeles,1984,Athletics,Athletics,4x400m relay,"GAUGEL, Heidi-Elke",Women,FRG,West Germany,W,Bronze +Los Angeles,1984,Athletics,Athletics,4x100m relay,"BOLDEN, Jeanette",Women,USA,United States,W,Gold +Los Angeles,1984,Athletics,Athletics,discus throw,"DENIZ, Leslie Jean",Women,USA,United States,W,Silver +Los Angeles,1984,Athletics,Athletics,4x400m relay,"PAYNE-WIGGINS, Marita",Women,CAN,Canada,W,Silver +Los Angeles,1984,Athletics,Athletics,high jump,"ZHU, Jian-Hua",Men,CHN,China,M,Bronze +Los Angeles,1984,Athletics,Athletics,javelin throw,"LILLAK, Kristiina",Women,FIN,Finland,W,Silver +Los Angeles,1984,Athletics,Athletics,javelin throw,"HARKONEN, Arto",Men,FIN,Finland,M,Gold +Los Angeles,1984,Athletics,Athletics,200m,"OTTEY-PAGE, Merlene",Women,JAM,Jamaica,W,Bronze +Los Angeles,1984,Athletics,Athletics,4x100m relay,"STEWART, Ray",Men,JAM,Jamaica,M,Silver +Los Angeles,1984,Athletics,Athletics,4x400m relay,"BABERS, Alonzo C.",Men,USA,United States,M,Gold +Los Angeles,1984,Athletics,Athletics,4x400m relay,"UTI, Sunday",Men,NGR,Nigeria,M,Bronze +Los Angeles,1984,Athletics,Athletics,triple jump,"CONLEY, Mike",Men,USA,United States,M,Silver +Los Angeles,1984,Athletics,Athletics,400m,"BABERS, Alonzo C.",Men,USA,United States,M,Gold +Los Angeles,1984,Athletics,Athletics,4x400m relay,"ARMSTEAD, Raymond",Men,USA,United States,M,Gold +Los Angeles,1984,Athletics,Athletics,10000m,"COVA, Alberto",Men,ITA,Italy,M,Gold +Los Angeles,1984,Athletics,Athletics,4x400m relay,"THIMM-FINGER, Ute",Women,FRG,West Germany,W,Bronze +Los Angeles,1984,Athletics,Athletics,4x100m relay,"BAILEY, Angela",Women,CAN,Canada,W,Silver +Los Angeles,1984,Athletics,Athletics,high jump,"SIMEONI, Sara",Women,ITA,Italy,W,Silver +Los Angeles,1984,Athletics,Athletics,pole vault,"QUINON, Pierre",Men,FRA,France,M,Gold +Los Angeles,1984,Athletics,Athletics,4x400m relay,"BENNETT, Todd Anthony",Men,GBR,United Kingdom,M,Silver +Los Angeles,1984,Athletics,Athletics,shot put,"ANDREI, Alessandro",Men,ITA,Italy,M,Gold +Los Angeles,1984,Athletics,Athletics,1500m,"DORIO, Gabriella",Women,ITA,Italy,W,Gold +Los Angeles,1984,Athletics,Athletics,4x100m relay,"PAYNE-WIGGINS, Marita",Women,CAN,Canada,W,Silver +Los Angeles,1984,Athletics,Athletics,4x400m relay,"CROOKS, Charmaine",Women,CAN,Canada,W,Silver +Los Angeles,1984,Athletics,Athletics,marathon,"BENOIT, Joan",Women,USA,United States,W,Gold +Los Angeles,1984,Athletics,Athletics,110m hurdles,"BRYGGARE, Arto",Men,FIN,Finland,M,Bronze +Los Angeles,1984,Athletics,Athletics,marathon,"MOTA, Rosa",Women,POR,Portugal,W,Bronze +Los Angeles,1984,Athletics,Athletics,long jump,"HEARNSHAW, Susan",Women,GBR,United Kingdom,W,Bronze +Los Angeles,1984,Athletics,Athletics,4x100m relay,"QUARRIE, Donald",Men,JAM,Jamaica,M,Silver +Los Angeles,1984,Athletics,Athletics,discus throw,"WILKINS, Malcolm Maurice",Men,USA,United States,M,Silver +Los Angeles,1984,Athletics,Athletics,4x400m relay,"CHEESEBOROUGH, Chandra Danette",Women,USA,United States,W,Gold +Los Angeles,1984,Athletics,Athletics,marathon,"LOPES, Carlos",Men,POR,Portugal,M,Gold +Los Angeles,1984,Athletics,Athletics,400m hurdles,"MOSES, Edwin",Men,USA,United States,M,Gold +Los Angeles,1984,Athletics,Athletics,100m,"BROWN, Alice Regina",Women,USA,United States,W,Silver +Los Angeles,1984,Athletics,Athletics,400m hurdles,"COJOCARU, Cristina",Women,ROU,Romania,W,Bronze +Los Angeles,1984,Athletics,Athletics,20km walk,"CANTO GUDINO, Ernesto",Men,MEX,Mexico,M,Gold +Los Angeles,1984,Athletics,Athletics,4x100m relay,"CHEESEBOROUGH, Chandra Danette",Women,USA,United States,W,Gold +Los Angeles,1984,Athletics,Athletics,800m,"CRUZ, Joaquim",Men,BRA,Brazil,M,Gold +Los Angeles,1984,Athletics,Athletics,marathon,"SPEDDING, Charles",Men,GBR,United Kingdom,M,Bronze +Los Angeles,1984,Athletics,Athletics,pole vault,"BELL, Earl Holmes",Men,USA,United States,M,Bronze +Los Angeles,1984,Athletics,Athletics,4x100m relay,"GAREAU, France",Women,CAN,Canada,W,Silver +Los Angeles,1984,Athletics,Athletics,long jump,"HONEY, Gary",Men,AUS,Australia,M,Silver +Los Angeles,1984,Athletics,Athletics,3000m,"WILLIAMS, Lynn",Women,CAN,Canada,W,Bronze +Los Angeles,1984,Athletics,Athletics,3000m,"PUICA, Maricica",Women,ROU,Romania,W,Gold +Los Angeles,1984,Athletics,Athletics,4x100m relay,"SMITH, Calvin",Men,USA,United States,M,Gold +Los Angeles,1984,Athletics,Athletics,triple jump,"JOYNER, Alfredrick Alphonzo",Men,USA,United States,M,Gold +Los Angeles,1984,Athletics,Athletics,400m,"TIACOH, Gabriel",Men,CIV,Cote d'Ivoire,M,Silver +Los Angeles,1984,Athletics,Athletics,javelin throw,"WHITBREAD, Fatima",Women,GBR,United Kingdom,W,Bronze +Los Angeles,1984,Athletics,Athletics,heptathlon,"JOYNER-KERSEE, Jackie",Women,USA,United States,W,Silver +Los Angeles,1984,Athletics,Athletics,5000m,"AOUITA, Said",Men,MAR,Morocco,M,Gold +Los Angeles,1984,Athletics,Athletics,heptathlon,"EVERTS, Sabine",Women,FRG,West Germany,W,Bronze +Los Angeles,1984,Athletics,Athletics,discus throw,"STALMAN, Ria G.",Women,NED,Netherlands,W,Gold +Los Angeles,1984,Athletics,Athletics,4x100m relay,"JACOBS, Simmone",Women,GBR,United Kingdom,W,Bronze +Los Angeles,1984,Athletics,Athletics,3000m steeplechase,"DIEMER, Brian Lee",Men,USA,United States,M,Bronze +Los Angeles,1984,Athletics,Athletics,110m hurdles,"KINGDOM, Roger",Men,USA,United States,M,Gold +Los Angeles,1984,Athletics,Athletics,110m hurdles,"FOSTER, Gregory",Men,USA,United States,M,Silver +Los Angeles,1984,Athletics,Athletics,3000m steeplechase,"MAHMOUD, Joseph",Men,FRA,France,M,Silver +Los Angeles,1984,Athletics,Athletics,4x400m relay,"BROWN, Philip Andrew",Men,GBR,United Kingdom,M,Silver +Los Angeles,1984,Athletics,Athletics,high jump,"MÖGENBURG, Dietmar",Men,FRG,West Germany,M,Gold +Los Angeles,1984,Athletics,Athletics,1500m,"ABASCAL GOMEZ, Jose Manuel",Men,ESP,Spain,M,Bronze +Los Angeles,1984,Athletics,Athletics,400m hurdles,"HARRIS, Daniel Lee",Men,USA,United States,M,Silver +Los Angeles,1984,Athletics,Athletics,decathlon,"THOMPSON, Daley",Men,GBR,United Kingdom,M,Gold +Los Angeles,1984,Athletics,Athletics,100m,"GRADDY, Samuel Louis",Men,USA,United States,M,Silver +Los Angeles,1984,Athletics,Athletics,pole vault,"VIGNERON, Thierry",Men,FRA,France,M,Bronze +Los Angeles,1984,Athletics,Athletics,200m,"LEWIS, Carl",Men,USA,United States,M,Gold +Los Angeles,1984,Athletics,Athletics,long jump,"CUSMIR-STANCIU, Anisoara",Women,ROU,Romania,W,Gold +Los Angeles,1984,Athletics,Athletics,shot put,"MULHALL-MARTIN, Gael",Women,AUS,Australia,W,Bronze +Los Angeles,1984,Athletics,Athletics,long jump,"EVANGELISTI, Giovanni",Men,ITA,Italy,M,Bronze +Los Angeles,1984,Athletics,Athletics,5000m,"RYFFEL, Markus",Men,SUI,Switzerland,M,Silver +Los Angeles,1984,Athletics,Athletics,discus throw,"POWELL, John Gates",Men,USA,United States,M,Bronze +Los Angeles,1984,Athletics,Athletics,400m hurdles,"SCHMID, Harald",Men,FRG,West Germany,M,Bronze +Los Angeles,1984,Athletics,Athletics,4x100m relay,"ASHFORD, Evelyn",Women,USA,United States,W,Gold +Los Angeles,1984,Athletics,Athletics,4x400m relay,"EGBUNIKE, Innocent",Men,NGR,Nigeria,M,Bronze +Los Angeles,1984,Athletics,Athletics,high jump,"HUNTLEY, Johanna Luann",Women,USA,United States,W,Bronze +Los Angeles,1984,Athletics,Athletics,10000m,"MCLEOD, Michael",Men,GBR,United Kingdom,M,Silver +Los Angeles,1984,Athletics,Athletics,4x400m relay,"SCHULTE-MATTLER-SCHMIDT, Heike",Women,FRG,West Germany,W,Bronze +Los Angeles,1984,Athletics,Athletics,4x400m relay,"BUSSMANN, Gabriele",Women,FRG,West Germany,W,Bronze +Los Angeles,1984,Athletics,Athletics,4x100m relay,"MEGHOO, Gregory",Men,JAM,Jamaica,M,Silver +Los Angeles,1984,Basketball,Basketball,basketball,"MULLIN, Christopher Paul",Men,USA,United States,M,Gold +Los Angeles,1984,Basketball,Basketball,basketball,"PARK, Yang-Gae",Women,KOR,"Korea, South",W,Silver +Los Angeles,1984,Basketball,Basketball,basketball,"VUKICEVIC, Branko",Men,YUG,Yugoslavia,M,Bronze +Los Angeles,1984,Basketball,Basketball,basketball,"LEE, Hyung-Sook",Women,KOR,"Korea, South",W,Silver +Los Angeles,1984,Basketball,Basketball,basketball,"LLORENTE GENTO, Jose Luis",Men,ESP,Spain,M,Silver +Los Angeles,1984,Basketball,Basketball,basketball,"EDWARDS, Teresa",Women,USA,United States,W,Gold +Los Angeles,1984,Basketball,Basketball,basketball,"MILLER, Cheryl Deann",Women,USA,United States,W,Gold +Los Angeles,1984,Basketball,Basketball,basketball,"KLEINE, Joseph William",Men,USA,United States,M,Gold +Los Angeles,1984,Basketball,Basketball,basketball,"MARGALL TAULER, Jose Maria",Men,ESP,Spain,M,Silver +Los Angeles,1984,Basketball,Basketball,basketball,"MULKEY, Kimberly Duane",Women,USA,United States,W,Gold +Los Angeles,1984,Basketball,Basketball,basketball,"MOON, Kyung-Ja",Women,KOR,"Korea, South",W,Silver +Los Angeles,1984,Basketball,Basketball,basketball,"DE LA CRUZ FERMANELLI, Juan Domingo",Men,ESP,Spain,M,Silver +Los Angeles,1984,Basketball,Basketball,basketball,"MUTAPCIC, Emir",Men,YUG,Yugoslavia,M,Bronze +Los Angeles,1984,Basketball,Basketball,basketball,"LEE, Mi-Ja",Women,KOR,"Korea, South",W,Silver +Los Angeles,1984,Basketball,Basketball,basketball,"BOSWELL, Catherine La Ora",Women,USA,United States,W,Gold +Los Angeles,1984,Basketball,Basketball,basketball,"MCGEE, Pamela Denise",Women,USA,United States,W,Gold +Los Angeles,1984,Basketball,Basketball,basketball,"ZORKIC, Nebojsa",Men,YUG,Yugoslavia,M,Bronze +Los Angeles,1984,Basketball,Basketball,basketball,"JORDAN, Michael",Men,USA,United States,M,Gold +Los Angeles,1984,Basketball,Basketball,basketball,"ALFORD, Steven Todd",Men,USA,United States,M,Gold +Los Angeles,1984,Basketball,Basketball,basketball,"WOODARD, Lynette",Women,USA,United States,W,Gold +Los Angeles,1984,Basketball,Basketball,basketball,"TISDALE, Wayman Lawrence",Men,USA,United States,M,Gold +Los Angeles,1984,Basketball,Basketball,basketball,"XIU, Li-Juan",Women,CHN,China,W,Bronze +Los Angeles,1984,Basketball,Basketball,basketball,"SOLOZABAL, Ignacio",Men,ESP,Spain,M,Silver +Los Angeles,1984,Basketball,Basketball,basketball,"ZIZIC, Rajko",Men,YUG,Yugoslavia,M,Bronze +Los Angeles,1984,Basketball,Basketball,basketball,"MENKEN-SCHAUDT, Carol Jean",Women,USA,United States,W,Gold +Los Angeles,1984,Basketball,Basketball,basketball,"SUNG, Jung-A",Women,KOR,"Korea, South",W,Silver +Los Angeles,1984,Basketball,Basketball,basketball,"PETROVIC, Aleksandar",Men,YUG,Yugoslavia,M,Bronze +Los Angeles,1984,Basketball,Basketball,basketball,"LIU, Qing",Women,CHN,China,W,Bronze +Los Angeles,1984,Basketball,Basketball,basketball,"JIMENEZ FERNANDEZ, Andres",Men,ESP,Spain,M,Silver +Los Angeles,1984,Basketball,Basketball,basketball,"SAN EPIFANIO RUIZ, Juan Antonio",Men,ESP,Spain,M,Silver +Los Angeles,1984,Basketball,Basketball,basketball,"LOPEZ, Juan Maria",Men,ESP,Spain,M,Silver +Los Angeles,1984,Basketball,Basketball,basketball,"MARTIN ESPINA, Fernando",Men,ESP,Spain,M,Silver +Los Angeles,1984,Basketball,Basketball,basketball,"ROBERTSON, Alvin Cyrrale",Men,USA,United States,M,Gold +Los Angeles,1984,Basketball,Basketball,basketball,"KIM, Hwa-Soon",Women,KOR,"Korea, South",W,Silver +Los Angeles,1984,Basketball,Basketball,basketball,"KONCAK, Jon Francis",Men,USA,United States,M,Gold +Los Angeles,1984,Basketball,Basketball,basketball,"NOBLE, Cindy Jo.",Women,USA,United States,W,Gold +Los Angeles,1984,Basketball,Basketball,basketball,"WOOD, Leonard III",Men,USA,United States,M,Gold +Los Angeles,1984,Basketball,Basketball,basketball,"KIM, Young-Hee",Women,KOR,"Korea, South",W,Silver +Los Angeles,1984,Basketball,Basketball,basketball,"BEIRAN LOZANO, Jose Manuel",Men,ESP,Spain,M,Silver +Los Angeles,1984,Basketball,Basketball,basketball,"HENRY, Ludi ""Lea""",Women,USA,United States,W,Gold +Los Angeles,1984,Basketball,Basketball,basketball,"ZHENG, Haixia",Women,CHN,China,W,Bronze +Los Angeles,1984,Basketball,Basketball,basketball,"FLEMING, Vernon",Men,USA,United States,M,Gold +Los Angeles,1984,Basketball,Basketball,basketball,"ZHANG, Yue-Qin",Women,CHN,China,W,Bronze +Los Angeles,1984,Basketball,Basketball,basketball,"CHOI, Kyung-Hee",Women,KOR,"Korea, South",W,Silver +Los Angeles,1984,Basketball,Basketball,basketball,"BA, Yan",Women,CHN,China,W,Bronze +Los Angeles,1984,Basketball,Basketball,basketball,"CHOI, Aei-Young",Women,KOR,"Korea, South",W,Silver +Los Angeles,1984,Basketball,Basketball,basketball,"SONG, Xiao-Bo",Women,CHN,China,W,Bronze +Los Angeles,1984,Basketball,Basketball,basketball,"ROMAY PEREIRO, Fernando",Men,ESP,Spain,M,Silver +Los Angeles,1984,Basketball,Basketball,basketball,"RADOVANOVIC, Ratko",Men,YUG,Yugoslavia,M,Bronze +Los Angeles,1984,Basketball,Basketball,basketball,"ARCEGA APERTE, Fernando",Men,ESP,Spain,M,Silver +Los Angeles,1984,Basketball,Basketball,basketball,"PERKINS, Samuel Bruce",Men,USA,United States,M,Gold +Los Angeles,1984,Basketball,Basketball,basketball,"JEONG, Myung-Hee",Women,KOR,"Korea, South",W,Silver +Los Angeles,1984,Basketball,Basketball,basketball,"CONG, Xuedi",Women,CHN,China,W,Bronze +Los Angeles,1984,Basketball,Basketball,basketball,"KIM, Eun-Sook",Women,KOR,"Korea, South",W,Silver +Los Angeles,1984,Basketball,Basketball,basketball,"TURNER, Jeffrey Stephen",Men,USA,United States,M,Gold +Los Angeles,1984,Basketball,Basketball,basketball,"CORBALAN ALFOCER, Juan Antonio",Men,ESP,Spain,M,Silver +Los Angeles,1984,Basketball,Basketball,basketball,"QIU, Chen",Women,CHN,China,W,Bronze +Los Angeles,1984,Basketball,Basketball,basketball,"PARK, Chan-Sook",Women,KOR,"Korea, South",W,Silver +Los Angeles,1984,Basketball,Basketball,basketball,"CURRY, Denise Marie",Women,USA,United States,W,Gold +Los Angeles,1984,Basketball,Basketball,basketball,"NAKIC-VOJNOVIC, Mihovil",Men,YUG,Yugoslavia,M,Bronze +Los Angeles,1984,Basketball,Basketball,basketball,"LAWRENCE, Janice Faye",Women,USA,United States,W,Gold +Los Angeles,1984,Basketball,Basketball,basketball,"PETROVIC, Drazen",Men,YUG,Yugoslavia,M,Bronze +Los Angeles,1984,Basketball,Basketball,basketball,"WANG, Jun",Women,CHN,China,W,Bronze +Los Angeles,1984,Basketball,Basketball,basketball,"DALIPAGIC, Drazen",Men,YUG,Yugoslavia,M,Bronze +Los Angeles,1984,Basketball,Basketball,basketball,"SUNARA, Ivan",Men,YUG,Yugoslavia,M,Bronze +Los Angeles,1984,Basketball,Basketball,basketball,"ZHANG, Hui",Women,CHN,China,W,Bronze +Los Angeles,1984,Basketball,Basketball,basketball,"KNEGO, Andro",Men,YUG,Yugoslavia,M,Bronze +Los Angeles,1984,Basketball,Basketball,basketball,"LI, Xiao-Qin",Women,CHN,China,W,Bronze +Los Angeles,1984,Basketball,Basketball,basketball,"CHEN, Yue-Fang",Women,CHN,China,W,Bronze +Los Angeles,1984,Basketball,Basketball,basketball,"HADZIC, Saabit",Men,YUG,Yugoslavia,M,Bronze +Los Angeles,1984,Basketball,Basketball,basketball,"DONOVAN, Anne Theresa",Women,USA,United States,W,Gold +Los Angeles,1984,Basketball,Basketball,basketball,"EWING, Patrick Aloysius",Men,USA,United States,M,Gold +Los Angeles,1984,Boxing,Boxing,81 - 91kg (heavyweight),"DEWIT, Willie",Men,CAN,Canada,M,Silver +Los Angeles,1984,Boxing,Boxing,54 - 57kg (featherweight),"TAYLOR, Meldrick",Men,USA,United States,M,Gold +Los Angeles,1984,Boxing,Boxing,- 48kg (light-flyweight),"BOLIVAR, Jose Marcelino",Men,VEN,Venezuela,M,Bronze +Los Angeles,1984,Boxing,Boxing,48 - 51kg (flyweight),"REDZEPOVSKI, Redzep",Men,YUG,Yugoslavia,M,Silver +Los Angeles,1984,Boxing,Boxing,63.5 - 67kg (welterweight),"BRELAND, Mark Anthony",Men,USA,United States,M,Gold +Los Angeles,1984,Boxing,Boxing,71-75kg,"HILL, Virgil Eugene",Men,USA,United States,M,Silver +Los Angeles,1984,Boxing,Boxing,71-75kg,"SHIN, Joon-Sup",Men,KOR,"Korea, South",M,Gold +Los Angeles,1984,Boxing,Boxing,75 - 81kg (light-heavyweight),"JOSIPOVIC, Antun",Men,YUG,Yugoslavia,M,Gold +Los Angeles,1984,Boxing,Boxing,57 - 60kg (lightweight),"WHITAKER, Pernell",Men,USA,United States,M,Gold +Los Angeles,1984,Boxing,Boxing,60 - 63.5kg (light-welterweight),"PAGE, Jeremy Louis",Men,USA,United States,M,Gold +Los Angeles,1984,Boxing,Boxing,81 - 91kg (heavyweight),"VANDERLIJDE, Arnold",Men,NED,Netherlands,M,Bronze +Los Angeles,1984,Boxing,Boxing,51 - 54kg (bantamweight),"LOPEZ, Hector",Men,MEX,Mexico,M,Silver +Los Angeles,1984,Boxing,Boxing,71-75kg,"ZAOUI, Mohamed",Men,ALG,Algeria,M,Bronze +Los Angeles,1984,Boxing,Boxing,+ 91kg (super heavyweight),"DAMIANI, Francesco",Men,ITA,Italy,M,Silver +Los Angeles,1984,Boxing,Boxing,67 - 71kg (light-middleweight),"ZIELONKA, Manfred",Men,FRG,West Germany,M,Bronze +Los Angeles,1984,Boxing,Boxing,75 - 81kg (light-heavyweight),"BARRY, Kevin",Men,NZL,New Zealand,M,Silver +Los Angeles,1984,Boxing,Boxing,67 - 71kg (light-middleweight),"TATE, Frank",Men,USA,United States,M,Gold +Los Angeles,1984,Boxing,Boxing,+ 91kg (super heavyweight),"WELLS, Robert",Men,GBR,United Kingdom,M,Bronze +Los Angeles,1984,Boxing,Boxing,- 48kg (light-flyweight),"TODISCO, Salvatore",Men,ITA,Italy,M,Silver +Los Angeles,1984,Boxing,Boxing,63.5 - 67kg (welterweight),"NYMAN, Joni",Men,FIN,Finland,M,Bronze +Los Angeles,1984,Boxing,Boxing,63.5 - 67kg (welterweight),"BRUNO, Luciano",Men,ITA,Italy,M,Bronze +Los Angeles,1984,Boxing,Boxing,54 - 57kg (featherweight),"KONYEGWACHIE, Peter",Men,NGR,Nigeria,M,Silver +Los Angeles,1984,Boxing,Boxing,54 - 57kg (featherweight),"AYKAC, Turgut",Men,TUR,Turkey,M,Bronze +Los Angeles,1984,Boxing,Boxing,57 - 60kg (lightweight),"NDONGO-EBANGA, Martin",Men,CMR,Cameroon,M,Bronze +Los Angeles,1984,Boxing,Boxing,+ 91kg (super heavyweight),"SALIHU, Azis",Men,YUG,Yugoslavia,M,Bronze +Los Angeles,1984,Boxing,Boxing,48 - 51kg (flyweight),"MCCRORY, Steven D.",Men,USA,United States,M,Gold +Los Angeles,1984,Boxing,Boxing,81 - 91kg (heavyweight),"MUSONE, Angelo",Men,ITA,Italy,M,Bronze +Los Angeles,1984,Boxing,Boxing,67 - 71kg (light-middleweight),"TIOZZO, Christophe",Men,FRA,France,M,Bronze +Los Angeles,1984,Boxing,Boxing,60 - 63.5kg (light-welterweight),"UMPONMAHA, Dhawee",Men,THA,Thailand,M,Silver +Los Angeles,1984,Boxing,Boxing,81 - 91kg (heavyweight),"TILLMAN, Henry",Men,USA,United States,M,Gold +Los Angeles,1984,Boxing,Boxing,67 - 71kg (light-middleweight),"O'SULLIVAN, Shawn",Men,CAN,Canada,M,Silver +Los Angeles,1984,Boxing,Boxing,57 - 60kg (lightweight),"ORTIZ, Luis F.",Men,PUR,Puerto Rico*,M,Silver +Los Angeles,1984,Boxing,Boxing,- 48kg (light-flyweight),"MWILA, Keith",Men,ZAM,Zambia,M,Bronze +Los Angeles,1984,Boxing,Boxing,51 - 54kg (bantamweight),"NOLASCO, Pedres",Men,DOM,Dominican Republic,M,Bronze +Los Angeles,1984,Boxing,Boxing,63.5 - 67kg (welterweight),"AN, Young-Su",Men,KOR,"Korea, South",M,Silver +Los Angeles,1984,Boxing,Boxing,- 48kg (light-flyweight),"GONZALEZ, Paul Garza Jr.",Men,USA,United States,M,Gold +Los Angeles,1984,Boxing,Boxing,48 - 51kg (flyweight),"BILALI, Ibrahim",Men,KEN,Kenya,M,Bronze +Los Angeles,1984,Boxing,Boxing,60 - 63.5kg (light-welterweight),"FULGER, Mircea",Men,ROU,Romania,M,Bronze +Los Angeles,1984,Boxing,Boxing,57 - 60kg (lightweight),"CHUN, Chil-Sung",Men,KOR,"Korea, South",M,Bronze +Los Angeles,1984,Boxing,Boxing,51 - 54kg (bantamweight),"STECCA, Maurizio",Men,ITA,Italy,M,Gold +Los Angeles,1984,Boxing,Boxing,75 - 81kg (light-heavyweight),"HOLYFIELD, Evander",Men,USA,United States,M,Bronze +Los Angeles,1984,Boxing,Boxing,48 - 51kg (flyweight),"CAN, Eyup",Men,TUR,Turkey,M,Bronze +Los Angeles,1984,Boxing,Boxing,+ 91kg (super heavyweight),"BIGGS, Tyrell",Men,USA,United States,M,Gold +Los Angeles,1984,Boxing,Boxing,60 - 63.5kg (light-welterweight),"PUZOVIC, Mirko",Men,YUG,Yugoslavia,M,Bronze +Los Angeles,1984,Boxing,Boxing,51 - 54kg (bantamweight),"WALTERS, Dale",Men,CAN,Canada,M,Bronze +Los Angeles,1984,Boxing,Boxing,54 - 57kg (featherweight),"CATARI PERAZA, Omar",Men,VEN,Venezuela,M,Bronze +Los Angeles,1984,Boxing,Boxing,71-75kg,"GONZALEZ, Aristides",Men,PUR,Puerto Rico*,M,Bronze +Los Angeles,1984,Boxing,Boxing,75 - 81kg (light-heavyweight),"MOUSSA, Mustapha",Men,ALG,Algeria,M,Bronze +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"VAVASSEUR, Didier",Men,FRA,France,M,Bronze +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"PATZAICHIN, Ivan",Men,ROU,Romania,M,Silver +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,C-1 500m (canoe single),"CAIN, Lawrence",Men,CAN,Canada,M,Gold +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"HOLLOWAY, Susan",Women,CAN,Canada,W,Silver +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"MORRIS, Alwyn",Men,CAN,Canada,M,Gold +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,K-1 1000m (kayak single),"JANIC, Milan",Men,YUG,Yugoslavia,M,Silver +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"KELLY, Barry",Men,AUS,Australia,M,Bronze +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"MAC DONALD, Christopher Paul",Men,NZL,New Zealand,M,Gold +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,C-1 1000m (canoe single),"CAIN, Lawrence",Men,CAN,Canada,M,Silver +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"IDEM, Josefa",Women,FRG,West Germany,W,Bronze +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"MARINESCU, Tecla",Women,ROU,Romania,W,Gold +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"DERCKX, Annemarie",Women,NED,Netherlands,W,Bronze +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"FERGUSON, Ian Gordon",Men,NZL,New Zealand,M,Gold +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"FERGUSON, Ian Gordon",Men,NZL,New Zealand,M,Gold +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"ANDERSSON, Agneta",Women,SWE,Sweden,W,Silver +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"ANDERSSON, Agneta",Women,SWE,Sweden,W,Gold +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"NICHITOV-IONESCU, Nastasia",Women,ROU,Romania,W,Gold +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"SUAREZ AMADOR, Narciso",Men,ESP,Spain,M,Bronze +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"MOBERG, Lars-Erik",Men,SWE,Sweden,M,Silver +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,K-1 1000m (kayak single),"BARTON, Gregory Mark",Men,USA,United States,M,Bronze +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"MAC DONALD, Christopher Paul",Men,NZL,New Zealand,M,Gold +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"FISHER, Hugh",Men,CAN,Canada,M,Gold +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"OLMSTEAD, Barbara",Women,CAN,Canada,W,Bronze +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"LJUBEK, Matija",Men,YUG,Yugoslavia,M,Silver +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,C-1 1000m (canoe single),"EICKE, Ulrich",Men,FRG,West Germany,M,Gold +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"BENGTSSON, Per-Inge",Men,SWE,Sweden,M,Silver +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"OLSSON, Anna",Women,SWE,Sweden,W,Silver +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"BOUCHERIT, Pascal",Men,FRA,France,M,Bronze +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"HOLLOWAY, Susan",Women,CAN,Canada,W,Bronze +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"ANDERSSON, Agneta",Women,SWE,Sweden,W,Gold +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"MOBERG, Lars-Erik",Men,SWE,Sweden,M,Silver +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"LJUBEK, Matija",Men,YUG,Yugoslavia,M,Gold +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"NISOVIC, Mirko",Men,YUG,Yugoslavia,M,Gold +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"BREGEON, Bernard",Men,FRA,France,M,Silver +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"OHLSSON, Thomas",Men,SWE,Sweden,M,Silver +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"BOCCARA, Philippe",Men,FRA,France,M,Bronze +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,K-1 1000m (kayak single),"THOMPSON, Alan Blair",Men,NZL,New Zealand,M,Gold +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"FERGUSON, Ian Gordon",Men,NZL,New Zealand,M,Gold +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"BARRE, Alexandra",Women,CAN,Canada,W,Silver +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"KARLS, Tommy",Men,SWE,Sweden,M,Silver +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"WIBERG-GUNNARSSON, Susanne",Women,SWE,Sweden,W,Silver +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"SCHUTTPELZ, Barbara",Women,FRG,West Germany,W,Bronze +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"STEFAN, Maria",Women,ROU,Romania,W,Gold +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"SIMIONOV, Toma",Men,ROU,Romania,M,Gold +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,C-1 500m (canoe single),"JAKOBSEN, Henning Lynge",Men,DEN,Denmark,M,Silver +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,C-1 500m (canoe single),"OLARU, Costica",Men,ROU,Romania,M,Bronze +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"BAROUH, Francois",Men,FRA,France,M,Bronze +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"SIMIONOV, Toma",Men,ROU,Romania,M,Silver +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"CONSTANTIN, Agafia",Women,ROU,Romania,W,Gold +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"BRAMWELL, Grant",Men,NZL,New Zealand,M,Gold +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"SCHUTTPELZ, Barbara",Women,FRG,West Germany,W,Silver +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"KENNY, Grant",Men,AUS,Australia,M,Bronze +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"THOMPSON, Alan Blair",Men,NZL,New Zealand,M,Gold +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"BENGTSSON, Per-Inge",Men,SWE,Sweden,M,Silver +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"GUAY, Lucie",Women,CAN,Canada,W,Bronze +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"KARLSSON, Eva",Women,SWE,Sweden,W,Silver +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"FISHER, Hugh",Men,CAN,Canada,M,Bronze +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"MORRIS, Alwyn",Men,CAN,Canada,M,Bronze +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,C-1 1000m (canoe single),"JAKOBSEN, Henning Lynge",Men,DEN,Denmark,M,Bronze +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"PATZAICHIN, Ivan",Men,ROU,Romania,M,Gold +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"MIGUEZ GOMEZ, Enrique",Men,ESP,Spain,M,Bronze +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"HOYER, Didier",Men,FRA,France,M,Bronze +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"MOBERG, Lars-Erik",Men,SWE,Sweden,M,Silver +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"LEFOULON, Patrick",Men,FRA,France,M,Silver +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"BREGEON, Bernard",Men,FRA,France,M,Bronze +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"BARRE, Alexandra",Women,CAN,Canada,W,Bronze +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"NISOVIC, Mirko",Men,YUG,Yugoslavia,M,Silver +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"RENAUD, Eric",Men,FRA,France,M,Bronze +Los Angeles,1984,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"OLSSON, Anna",Women,SWE,Sweden,W,Gold +Los Angeles,1984,Cycling,Cycling Road,individual road race,"SCHUMACHER, Sandra",Women,FRG,West Germany,W,Bronze +Los Angeles,1984,Cycling,Cycling Road,team time trial,"WEAVER, Andrew Telsher",Men,USA,United States,M,Bronze +Los Angeles,1984,Cycling,Cycling Road,team time trial,"WISS, Benno",Men,SUI,Switzerland,M,Silver +Los Angeles,1984,Cycling,Cycling Road,individual road race,"LAURITZEN, Dag Otto",Men,NOR,Norway,M,Bronze +Los Angeles,1984,Cycling,Cycling Road,team time trial,"TRINKLER, Richard",Men,SUI,Switzerland,M,Silver +Los Angeles,1984,Cycling,Cycling Road,team time trial,"POLI, Eros",Men,ITA,Italy,M,Gold +Los Angeles,1984,Cycling,Cycling Road,individual road race,"BAUER, Stephen",Men,CAN,Canada,M,Silver +Los Angeles,1984,Cycling,Cycling Road,team time trial,"KIEFEL, Ronald Alexander",Men,USA,United States,M,Bronze +Los Angeles,1984,Cycling,Cycling Road,team time trial,"VIAL, Laurent",Men,SUI,Switzerland,M,Silver +Los Angeles,1984,Cycling,Cycling Road,individual road race,"TWIGG, Rebecca Lynne",Women,USA,United States,W,Silver +Los Angeles,1984,Cycling,Cycling Road,team time trial,"GIOVANNETTI, Marco",Men,ITA,Italy,M,Gold +Los Angeles,1984,Cycling,Cycling Road,individual road race,"GREWAL, Alexi S.",Men,USA,United States,M,Gold +Los Angeles,1984,Cycling,Cycling Road,team time trial,"ACHERMANN, Alfred",Men,SUI,Switzerland,M,Silver +Los Angeles,1984,Cycling,Cycling Road,team time trial,"PHINNEY, Davis Welsh",Men,USA,United States,M,Bronze +Los Angeles,1984,Cycling,Cycling Road,individual road race,"CARPENTER-PHINNEY, Helen Constance",Women,USA,United States,W,Gold +Los Angeles,1984,Cycling,Cycling Road,team time trial,"VANDELLI, Claudio",Men,ITA,Italy,M,Gold +Los Angeles,1984,Cycling,Cycling Road,team time trial,"BARTALINI, Marcello",Men,ITA,Italy,M,Gold +Los Angeles,1984,Cycling,Cycling Road,team time trial,"KNICKMAN, Clarence Roy",Men,USA,United States,M,Bronze +Los Angeles,1984,Cycling,Cycling Track,Individual Pursuit,"HEGG, Stephen Edward",Men,USA,United States,M,Gold +Los Angeles,1984,Cycling,Cycling Track,Sprint indivual,"VAILS, Nelson Beasley",Men,USA,United States,M,Silver +Los Angeles,1984,Cycling,Cycling Track,Team Pursuit (4000m),"ALBER, Reinhard",Men,FRG,West Germany,M,Bronze +Los Angeles,1984,Cycling,Cycling Track,Team Pursuit (4000m),"GOLZ, Rolf",Men,FRG,West Germany,M,Bronze +Los Angeles,1984,Cycling,Cycling Track,Team Pursuit (4000m),"GUNTHER, Roland",Men,FRG,West Germany,M,Bronze +Los Angeles,1984,Cycling,Cycling Track,Team Pursuit (4000m),"NICHOLS, Kevin",Men,AUS,Australia,M,Gold +Los Angeles,1984,Cycling,Cycling Track,Team Pursuit (4000m),"NITZ, Leonard Harvey",Men,USA,United States,M,Silver +Los Angeles,1984,Cycling,Cycling Track,Sprint indivual,"GORSKI, Mark Brian",Men,USA,United States,M,Gold +Los Angeles,1984,Cycling,Cycling Track,Team Pursuit (4000m),"MCDONOUGH, R.Patrick",Men,USA,United States,M,Silver +Los Angeles,1984,Cycling,Cycling Track,Team Pursuit (4000m),"GRYLLS, David Mills",Men,USA,United States,M,Silver +Los Angeles,1984,Cycling,Cycling Track,1km time trial,"SCHMIDTKE, Fredy",Men,FRG,West Germany,M,Gold +Los Angeles,1984,Cycling,Cycling Track,1km time trial,"HARNETT, Curtis",Men,CAN,Canada,M,Silver +Los Angeles,1984,Cycling,Cycling Track,Team Pursuit (4000m),"HEGG, Stephen Edward",Men,USA,United States,M,Silver +Los Angeles,1984,Cycling,Cycling Track,Sprint indivual,"SAKAMOTO, Tsutomu",Men,JPN,Japan,M,Bronze +Los Angeles,1984,Cycling,Cycling Track,Points Race,"MESSERSCHMIDT, Uwe",Men,FRG,West Germany,M,Silver +Los Angeles,1984,Cycling,Cycling Track,Team Pursuit (4000m),"TURTUR, Michael",Men,AUS,Australia,M,Gold +Los Angeles,1984,Cycling,Cycling Track,Individual Pursuit,"NITZ, Leonard Harvey",Men,USA,United States,M,Bronze +Los Angeles,1984,Cycling,Cycling Track,Team Pursuit (4000m),"WOODS, Dean",Men,AUS,Australia,M,Gold +Los Angeles,1984,Cycling,Cycling Track,1km time trial,"COLAS, Fabrice",Men,FRA,France,M,Bronze +Los Angeles,1984,Cycling,Cycling Track,Team Pursuit (4000m),"GRENDA, Michael",Men,AUS,Australia,M,Gold +Los Angeles,1984,Cycling,Cycling Track,Individual Pursuit,"GOLZ, Rolf",Men,FRG,West Germany,M,Silver +Los Angeles,1984,Cycling,Cycling Track,Points Race,"YOUSHIMATZ, Jose Manuel",Men,MEX,Mexico,M,Bronze +Los Angeles,1984,Cycling,Cycling Track,Points Race,"ILEGEMS, Roger",Men,BEL,Belgium,M,Gold +Los Angeles,1984,Cycling,Cycling Track,Team Pursuit (4000m),"MARX, Michael",Men,FRG,West Germany,M,Bronze +Los Angeles,1984,Equestrian,Dressage,team,"NATHORST, Louise",Women,SWE,Sweden,X,Bronze +Los Angeles,1984,Equestrian,Dressage,individual,H:: MARZOG,Women,DEN,Denmark,X,Silver +Los Angeles,1984,Equestrian,Dressage,individual,"KLIMKE, Reiner",Men,FRG,West Germany,X,Gold +Los Angeles,1984,Equestrian,Dressage,team,"DE BARY, Amy Catherine",Women,SUI,Switzerland,X,Silver +Los Angeles,1984,Equestrian,Dressage,individual,H:: LIMANDUS,Men,SUI,Switzerland,X,Bronze +Los Angeles,1984,Equestrian,Dressage,team,"HOFER, Otto Josef",Men,SUI,Switzerland,X,Silver +Los Angeles,1984,Equestrian,Dressage,team,"HAKANSSON, Ulla",Women,SWE,Sweden,X,Bronze +Los Angeles,1984,Equestrian,Dressage,team,"SAUER, Uwe",Men,FRG,West Germany,X,Gold +Los Angeles,1984,Equestrian,Dressage,team,"STUECKELBERGER, Christine",Women,SUI,Switzerland,X,Silver +Los Angeles,1984,Equestrian,Dressage,individual,"HOFER, Otto",Men,SUI,Switzerland,X,Bronze +Los Angeles,1984,Equestrian,Dressage,individual,H:: AHLERICH,Men,FRG,West Germany,X,Gold +Los Angeles,1984,Equestrian,Dressage,team,"BYLUND, Ingamay",Women,SWE,Sweden,X,Bronze +Los Angeles,1984,Equestrian,Dressage,team,"KLIMKE, Reiner",Men,FRG,West Germany,X,Gold +Los Angeles,1984,Equestrian,Dressage,team,"KRUG, Herbert",Men,FRG,West Germany,X,Gold +Los Angeles,1984,Equestrian,Dressage,individual,"HOFER, Otto Josef",Men,SUI,Switzerland,X,Bronze +Los Angeles,1984,Equestrian,Dressage,individual,"TORNBLAD-JENSEN, Anne",Women,DEN,Denmark,X,Silver +Los Angeles,1984,Equestrian,Dressage,individual,"JENSEN-TORNBLAD, Anne Grethe",Women,DEN,Denmark,X,Silver +Los Angeles,1984,Equestrian,Eventing,team,"PLUMB, John Michael",Men,USA,United States,X,Gold +Los Angeles,1984,Equestrian,Eventing,individual,"HOLGATE-LENG, Virginia",Women,GBR,United Kingdom,X,Bronze +Los Angeles,1984,Equestrian,Eventing,team,"STIVES-LENDE, Karen Elizabeth",Women,USA,United States,X,Gold +Los Angeles,1984,Equestrian,Eventing,team,"ERHORN, Claus",Men,FRG,West Germany,X,Bronze +Los Angeles,1984,Equestrian,Eventing,team,"STARK, Ian",Men,GBR,United Kingdom,X,Silver +Los Angeles,1984,Equestrian,Eventing,individual,"TODD, Mark",Men,NZL,New Zealand,X,Gold +Los Angeles,1984,Equestrian,Eventing,team,"HOGREFE, Dietmar",Men,FRG,West Germany,X,Bronze +Los Angeles,1984,Equestrian,Eventing,team,"FLEISCHMANN, Torrance Watkins",Men,USA,United States,X,Gold +Los Angeles,1984,Equestrian,Eventing,team,"OVERESCH-BOEKER, Bettina",Women,FRG,West Germany,X,Bronze +Los Angeles,1984,Equestrian,Eventing,team,"TESDORPF, Burkhard",Men,FRG,West Germany,X,Bronze +Los Angeles,1984,Equestrian,Eventing,team,"PRIOR-PALMER-GREEN, Lucinda",Women,GBR,United Kingdom,X,Silver +Los Angeles,1984,Equestrian,Eventing,individual,"STIVES-LENDE, Karen Elizabeth",Women,USA,United States,X,Silver +Los Angeles,1984,Equestrian,Eventing,team,"DAVIDSON, Bruce Oram",Men,USA,United States,X,Gold +Los Angeles,1984,Equestrian,Eventing,team,"CLAPHAM, Diana",Women,GBR,United Kingdom,X,Silver +Los Angeles,1984,Equestrian,Eventing,team,"HOLGATE-LENG, Virginia",Women,GBR,United Kingdom,X,Silver +Los Angeles,1984,Equestrian,Jumping,team,"SMITH, Steven",Men,GBR,United Kingdom,X,Silver +Los Angeles,1984,Equestrian,Jumping,team,"WHITAKER, John Edwin",Men,GBR,United Kingdom,X,Silver +Los Angeles,1984,Equestrian,Jumping,team,"FARGIS, Joseph Halpin, Iv",Men,USA,United States,X,Gold +Los Angeles,1984,Equestrian,Jumping,team,"HOMFELD, Conrad E.",Men,USA,United States,X,Gold +Los Angeles,1984,Equestrian,Jumping,team,"GRUBB, Timothy",Men,GBR,United Kingdom,X,Silver +Los Angeles,1984,Equestrian,Jumping,team,"SLOOTHAAK, Franke",Men,FRG,West Germany,X,Bronze +Los Angeles,1984,Equestrian,Jumping,team,"LIGGES, Fritz",Men,FRG,West Germany,X,Bronze +Los Angeles,1984,Equestrian,Jumping,team,"LUTHER, Peter",Men,FRG,West Germany,X,Bronze +Los Angeles,1984,Equestrian,Jumping,team,"BURR-HOWARD, Leslie Michele",Women,USA,United States,X,Gold +Los Angeles,1984,Equestrian,Jumping,team,"SMITH, Melanie Ashworth",Women,USA,United States,X,Gold +Los Angeles,1984,Equestrian,Jumping,individual,"FARGIS, Joseph Halpin, Iv",Men,USA,United States,X,Gold +Los Angeles,1984,Equestrian,Jumping,individual,"ROBBIANI, Adelheid",Women,SUI,Switzerland,X,Bronze +Los Angeles,1984,Equestrian,Jumping,team,"SCHOCKEMÖHLE, Paul",Men,FRG,West Germany,X,Bronze +Los Angeles,1984,Equestrian,Jumping,individual,"HOMFELD, Conrad E.",Men,USA,United States,X,Silver +Los Angeles,1984,Equestrian,Jumping,team,"WHITAKER, Michael",Men,GBR,United Kingdom,X,Silver +Los Angeles,1984,Fencing,Fencing,épée individual,"VÄGGÖ, Björne",Men,SWE,Sweden,M,Silver +Los Angeles,1984,Fencing,Fencing,foil team,"LATRILLE-GAUDIN, Brigitte",Women,FRA,France,W,Bronze +Los Angeles,1984,Fencing,Fencing,épée team,"BELLONE, Stefano",Men,ITA,Italy,M,Bronze +Los Angeles,1984,Fencing,Fencing,épée team,"RIBOUD, Philippe",Men,FRA,France,M,Silver +Los Angeles,1984,Fencing,Fencing,épée team,"FERRO, Cosimo",Men,ITA,Italy,M,Bronze +Los Angeles,1984,Fencing,Fencing,sabre individual,"LAMOUR, Jean-Francois",Men,FRA,France,M,Gold +Los Angeles,1984,Fencing,Fencing,foil team,"OMNES, Philippe",Men,FRA,France,M,Bronze +Los Angeles,1984,Fencing,Fencing,épée team,"BORRMANN, Elmar",Men,FRG,West Germany,M,Gold +Los Angeles,1984,Fencing,Fencing,épée individual,"BOISSE, Philippe",Men,FRA,France,M,Gold +Los Angeles,1984,Fencing,Fencing,sabre team,"DUCHEIX, Franck",Men,FRA,France,M,Silver +Los Angeles,1984,Fencing,Fencing,foil individual,"HANISCH, Cornelia",Women,FRG,West Germany,W,Silver +Los Angeles,1984,Fencing,Fencing,sabre team,"CHICULITA, Alexandru",Men,ROU,Romania,M,Bronze +Los Angeles,1984,Fencing,Fencing,foil team,"BEHR, Matthias",Men,FRG,West Germany,M,Silver +Los Angeles,1984,Fencing,Fencing,épée team,"BOISSE, Philippe",Men,FRA,France,M,Silver +Los Angeles,1984,Fencing,Fencing,sabre team,"LAMOUR, Jean-Francois",Men,FRA,France,M,Silver +Los Angeles,1984,Fencing,Fencing,sabre team,"MARIN, Marco",Men,ITA,Italy,M,Gold +Los Angeles,1984,Fencing,Fencing,épée team,"MANZI, Roberto",Men,ITA,Italy,M,Bronze +Los Angeles,1984,Fencing,Fencing,sabre team,"MUSTATA, Marin",Men,ROU,Romania,M,Bronze +Los Angeles,1984,Fencing,Fencing,foil team,"GROC, Patrick",Men,FRA,France,M,Bronze +Los Angeles,1984,Fencing,Fencing,épée team,"NICKEL, Rafael",Men,FRG,West Germany,M,Gold +Los Angeles,1984,Fencing,Fencing,épée team,"MAZZONI, Angelo",Men,ITA,Italy,M,Bronze +Los Angeles,1984,Fencing,Fencing,foil team,"GEY, Matthias",Men,FRG,West Germany,M,Silver +Los Angeles,1984,Fencing,Fencing,foil individual,"LUAN, Ju-Jie",Women,CHN,China,W,Gold +Los Angeles,1984,Fencing,Fencing,foil team,"BROUQUIER, Veronique",Women,FRA,France,W,Bronze +Los Angeles,1984,Fencing,Fencing,foil team,"GUZGANU-TUFAN, Elisabeta",Women,ROU,Romania,W,Silver +Los Angeles,1984,Fencing,Fencing,foil team,"MEYGRET, Anne",Women,FRA,France,W,Bronze +Los Angeles,1984,Fencing,Fencing,sabre team,"GUICHOT, Pierre",Men,FRA,France,M,Silver +Los Angeles,1984,Fencing,Fencing,foil team,"SCURI, Angelo",Men,ITA,Italy,M,Gold +Los Angeles,1984,Fencing,Fencing,foil individual,"NUMA, Mauro",Men,ITA,Italy,M,Gold +Los Angeles,1984,Fencing,Fencing,sabre team,"MEGLIO, Ferdinando",Men,ITA,Italy,M,Gold +Los Angeles,1984,Fencing,Fencing,sabre team,"MARIN, Corneliu",Men,ROU,Romania,M,Bronze +Los Angeles,1984,Fencing,Fencing,foil individual,"BEHR, Matthias",Men,FRG,West Germany,M,Silver +Los Angeles,1984,Fencing,Fencing,sabre team,"DALLA BARBA, Gianfranco",Men,ITA,Italy,M,Gold +Los Angeles,1984,Fencing,Fencing,foil team,"MOLDOVAN-ZSAK, Marcela",Women,ROU,Romania,W,Silver +Los Angeles,1984,Fencing,Fencing,foil team,"BECK, Frank",Men,FRG,West Germany,M,Silver +Los Angeles,1984,Fencing,Fencing,foil team,"REICHERT, Klaus",Men,FRG,West Germany,M,Silver +Los Angeles,1984,Fencing,Fencing,sabre team,"SZABO, Vilmos",Men,ROU,Romania,M,Bronze +Los Angeles,1984,Fencing,Fencing,sabre individual,"MARIN, Marco",Men,ITA,Italy,M,Silver +Los Angeles,1984,Fencing,Fencing,sabre team,"DELRIEU, Philippe",Men,FRA,France,M,Silver +Los Angeles,1984,Fencing,Fencing,foil team,"NUMA, Mauro",Men,ITA,Italy,M,Gold +Los Angeles,1984,Fencing,Fencing,foil team,"WEBER-KOSZTO, Monika",Women,ROU,Romania,W,Silver +Los Angeles,1984,Fencing,Fencing,foil team,"BISCHOFF, Sabine",Women,FRG,West Germany,W,Gold +Los Angeles,1984,Fencing,Fencing,foil team,"JOLYOT, Pascal",Men,FRA,France,M,Bronze +Los Angeles,1984,Fencing,Fencing,foil team,"FUNKENHAUSER, Zita-Eva",Women,FRG,West Germany,W,Gold +Los Angeles,1984,Fencing,Fencing,épée team,"HEER, Gerhard",Men,FRG,West Germany,M,Gold +Los Angeles,1984,Fencing,Fencing,sabre individual,"WESTBROOK, Peter Jonathan",Men,USA,United States,M,Bronze +Los Angeles,1984,Fencing,Fencing,foil team,"CERBONI, Marc",Men,FRA,France,M,Bronze +Los Angeles,1984,Fencing,Fencing,foil team,"BORELLA, Andrea",Men,ITA,Italy,M,Gold +Los Angeles,1984,Fencing,Fencing,foil team,"PIETRUSZKA, Frederic",Men,FRA,France,M,Bronze +Los Angeles,1984,Fencing,Fencing,sabre team,"SCALZO, Giovanni",Men,ITA,Italy,M,Gold +Los Angeles,1984,Fencing,Fencing,épée team,"FISCHER, Volker",Men,FRG,West Germany,M,Gold +Los Angeles,1984,Fencing,Fencing,foil team,"DAN, Aurora",Women,ROU,Romania,W,Silver +Los Angeles,1984,Fencing,Fencing,foil individual,"CERIONI, Stefano",Men,ITA,Italy,M,Bronze +Los Angeles,1984,Fencing,Fencing,sabre team,"POP, Ioan",Men,ROU,Romania,M,Bronze +Los Angeles,1984,Fencing,Fencing,foil team,"KIRCHEIS-WESSEL, Ute",Women,FRG,West Germany,W,Gold +Los Angeles,1984,Fencing,Fencing,épée team,"HENRY, Jean-Michel",Men,FRA,France,M,Silver +Los Angeles,1984,Fencing,Fencing,épée team,"PUSCH, Alexander",Men,FRG,West Germany,M,Gold +Los Angeles,1984,Fencing,Fencing,épée individual,"RIBOUD, Philippe",Men,FRA,France,M,Bronze +Los Angeles,1984,Fencing,Fencing,foil team,"TRINQUET-HACHIN, Pascale",Women,FRA,France,W,Bronze +Los Angeles,1984,Fencing,Fencing,foil team,"HEIN, Harald",Men,FRG,West Germany,M,Silver +Los Angeles,1984,Fencing,Fencing,épée team,"LENGLET, Olivier",Men,FRA,France,M,Silver +Los Angeles,1984,Fencing,Fencing,foil team,"CIPRESSA, Andrea",Men,ITA,Italy,M,Gold +Los Angeles,1984,Fencing,Fencing,foil individual,"VACCARONI, Dorina",Women,ITA,Italy,W,Bronze +Los Angeles,1984,Fencing,Fencing,foil team,"CERIONI, Stefano",Men,ITA,Italy,M,Gold +Los Angeles,1984,Fencing,Fencing,foil team,"MODAINE, Laurence",Women,FRA,France,W,Bronze +Los Angeles,1984,Fencing,Fencing,épée team,"CUOMO, Sandro",Men,ITA,Italy,M,Bronze +Los Angeles,1984,Fencing,Fencing,foil team,"WEBER, Christiane",Women,FRG,West Germany,W,Gold +Los Angeles,1984,Fencing,Fencing,épée team,"SALESSE, Michel",Men,FRA,France,M,Silver +Los Angeles,1984,Fencing,Fencing,foil team,"HANISCH, Cornelia",Women,FRG,West Germany,W,Gold +Los Angeles,1984,Fencing,Fencing,sabre team,"ARCIDIACONO, Angelo",Men,ITA,Italy,M,Gold +Los Angeles,1984,Fencing,Fencing,sabre team,"GRANGER-VEYRON, Herve",Men,FRA,France,M,Silver +Los Angeles,1984,Fencing,Fencing,foil team,"OROS, Rozalia",Women,ROU,Romania,W,Silver +Los Angeles,1984,Football,Football,football,"MILJUS, Branko",Men,YUG,Yugoslavia,M,Bronze +Los Angeles,1984,Football,Football,football,"GALVAO, Mauro",Men,BRA,Brazil,M,Silver +Los Angeles,1984,Football,Football,football,"PUDAR, Ivan",Men,YUG,Yugoslavia,M,Bronze +Los Angeles,1984,Football,Football,football,"CRUZ, Milton",Men,BRA,Brazil,M,Silver +Los Angeles,1984,Football,Football,football,"RINALDI, Gilmar",Men,BRA,Brazil,M,Silver +Los Angeles,1984,Football,Football,football,"GRACAN, Nenad",Men,YUG,Yugoslavia,M,Bronze +Los Angeles,1984,Football,Football,football,"BIBARD, Michel",Men,FRA,France,M,Gold +Los Angeles,1984,Football,Football,football,"GIL, Antonio Jose",Men,BRA,Brazil,M,Silver +Los Angeles,1984,Football,Football,football,"RUST, Albert",Men,FRA,France,M,Gold +Los Angeles,1984,Football,Football,football,"GARANDE, Patrice",Men,FRA,France,M,Gold +Los Angeles,1984,Football,Football,football,"CAPLJIC, Vlado",Men,YUG,Yugoslavia,M,Bronze +Los Angeles,1984,Football,Football,football,"ZANON, Jean Louis",Men,FRA,France,M,Gold +Los Angeles,1984,Football,Football,football,"BRISSON, Francois",Men,FRA,France,M,Gold +Los Angeles,1984,Football,Football,football,"CUBAYNES, Patrick",Men,FRA,France,M,Gold +Los Angeles,1984,Football,Football,football,"BENSOUSSAN, Michel",Men,FRA,France,M,Gold +Los Angeles,1984,Football,Football,football,"BAZDAREVIC, Mehmed",Men,YUG,Yugoslavia,M,Bronze +Los Angeles,1984,Football,Football,football,"DIAS, Luiz",Men,BRA,Brazil,M,Silver +Los Angeles,1984,Football,Football,football,"IVKOVIC, Tomislav",Men,YUG,Yugoslavia,M,Bronze +Los Angeles,1984,Football,Football,football,"KATANEC, Srecko",Men,YUG,Yugoslavia,M,Bronze +Los Angeles,1984,Football,Football,football,"PAIVA, Silvio",Men,BRA,Brazil,M,Silver +Los Angeles,1984,Football,Football,football,"LEIEHART NETO, Joao",Men,BRA,Brazil,M,Silver +Los Angeles,1984,Football,Football,football,"DEVERIC, Stjepan",Men,YUG,Yugoslavia,M,Bronze +Los Angeles,1984,Football,Football,football,"SILVA, Ronaldo",Men,BRA,Brazil,M,Silver +Los Angeles,1984,Football,Football,football,"BALJIC, Mirsad",Men,YUG,Yugoslavia,M,Bronze +Los Angeles,1984,Football,Football,football,"RADANOVIC, Ljubomir",Men,YUG,Yugoslavia,M,Bronze +Los Angeles,1984,Football,Football,football,"ROQUE KAEFER, Ademir",Men,BRA,Brazil,M,Silver +Los Angeles,1984,Football,Football,football,"CORTEZ SILVA, David",Men,BRA,Brazil,M,Silver +Los Angeles,1984,Football,Football,football,"VERRI, Carlos",Men,BRA,Brazil,M,Silver +Los Angeles,1984,Football,Football,football,"THOUVENEL, Jean Christophe",Men,FRA,France,M,Gold +Los Angeles,1984,Football,Football,football,"FERREIRA, Andre Luiz",Men,BRA,Brazil,M,Silver +Los Angeles,1984,Football,Football,football,"LACOMBE, Guy",Men,FRA,France,M,Gold +Los Angeles,1984,Football,Football,football,"LEMOULT, Jean-Claude",Men,FRA,France,M,Gold +Los Angeles,1984,Football,Football,football,"AYACHE, William",Men,FRA,France,M,Gold +Los Angeles,1984,Football,Football,football,"SMAJIC, Admir",Men,YUG,Yugoslavia,M,Bronze +Los Angeles,1984,Football,Football,football,"STOJKOVIC, Dragan",Men,YUG,Yugoslavia,M,Bronze +Los Angeles,1984,Football,Football,football,"SANTOS, Paulo",Men,BRA,Brazil,M,Silver +Los Angeles,1984,Football,Football,football,"BIJOTAT, Dominique",Men,FRA,France,M,Gold +Los Angeles,1984,Football,Football,football,"SENAC, Didier",Men,FRA,France,M,Gold +Los Angeles,1984,Football,Football,football,"VIDAL, Francisco",Men,BRA,Brazil,M,Silver +Los Angeles,1984,Football,Football,football,"WINCK, Luiz Carlos",Men,BRA,Brazil,M,Silver +Los Angeles,1984,Football,Football,football,"JEANNOL, Philippe",Men,FRA,France,M,Gold +Los Angeles,1984,Football,Football,football,"TOURE, Jose",Men,FRA,France,M,Gold +Los Angeles,1984,Football,Football,football,"OLIVEIRA, Aguilmar",Men,BRA,Brazil,M,Silver +Los Angeles,1984,Football,Football,football,"DJUROVSKI, Milko",Men,YUG,Yugoslavia,M,Bronze +Los Angeles,1984,Football,Football,football,"BRUM, Jorge Luiz",Men,BRA,Brazil,M,Silver +Los Angeles,1984,Football,Football,football,"XUEREB, Daniel",Men,FRA,France,M,Gold +Los Angeles,1984,Football,Football,football,"ELSNER, Marko",Men,YUG,Yugoslavia,M,Bronze +Los Angeles,1984,Football,Football,football,"ROHR, Jean Philippe",Men,FRA,France,M,Gold +Los Angeles,1984,Football,Football,football,"CVETKOVIC, Borislav",Men,YUG,Yugoslavia,M,Bronze +Los Angeles,1984,Football,Football,football,"MRKELA, Mitar",Men,YUG,Yugoslavia,M,Bronze +Los Angeles,1984,Football,Football,football,"NIKOLIC, Jovica",Men,YUG,Yugoslavia,M,Bronze +Los Angeles,1984,Gymnastics,Artistic G.,individual all-round,"SZABO, Ecaterina",Women,ROU,Romania,W,Silver +Los Angeles,1984,Gymnastics,Artistic G.,team competition,"LOU, Yun",Men,CHN,China,M,Silver +Los Angeles,1984,Gymnastics,Artistic G.,individual all-round,"GUSHIKEN, Koji",Men,JPN,Japan,M,Gold +Los Angeles,1984,Gymnastics,Artistic G.,team competition,"RETTON, Mary-Lou",Women,USA,United States,W,Silver +Los Angeles,1984,Gymnastics,Artistic G.,team competition,"HUANG, Qun",Women,CHN,China,W,Bronze +Los Angeles,1984,Gymnastics,Artistic G.,team competition,"YAMAWAKI, Kyoji",Men,JPN,Japan,M,Bronze +Los Angeles,1984,Gymnastics,Artistic G.,team competition,"KAJITANI, Nobuyuki",Men,JPN,Japan,M,Bronze +Los Angeles,1984,Gymnastics,Artistic G.,team competition,"MA, Yan-Hong",Women,CHN,China,W,Bronze +Los Angeles,1984,Gymnastics,Artistic G.,team competition,"JOHNSON, Scott Philip",Men,USA,United States,M,Gold +Los Angeles,1984,Gymnastics,Artistic G.,parallel bars,"KAJITANI, Nobuyuki",Men,JPN,Japan,M,Silver +Los Angeles,1984,Gymnastics,Artistic G.,team competition,"CUTINA, Laura",Women,ROU,Romania,W,Gold +Los Angeles,1984,Gymnastics,Artistic G.,team competition,"TONG, Fei",Men,CHN,China,M,Silver +Los Angeles,1984,Gymnastics,Artistic G.,rings,"GAYLORD, Mitchell Jay",Men,USA,United States,M,Bronze +Los Angeles,1984,Gymnastics,Artistic G.,team competition,"GUSHIKEN, Koji",Men,JPN,Japan,M,Bronze +Los Angeles,1984,Gymnastics,Artistic G.,vault,"GUSHIKEN, Koji",Men,JPN,Japan,M,Silver +Los Angeles,1984,Gymnastics,Artistic G.,team competition,"HARTUNG, James N.",Men,USA,United States,M,Gold +Los Angeles,1984,Gymnastics,Artistic G.,team competition,"CONNER, Barthold Wayne",Men,USA,United States,M,Gold +Los Angeles,1984,Gymnastics,Artistic G.,floor exercises,"LI, Ning",Men,CHN,China,M,Gold +Los Angeles,1984,Gymnastics,Artistic G.,floor exercises,"VATUONE, Philippe",Men,FRA,France,M,Bronze +Los Angeles,1984,Gymnastics,Artistic G.,floor exercises,"SZABO, Ecaterina",Women,ROU,Romania,W,Gold +Los Angeles,1984,Gymnastics,Artistic G.,team competition,"CHEN, Youg-Yan",Women,CHN,China,W,Bronze +Los Angeles,1984,Gymnastics,Artistic G.,balance beam,"PAUCA, Simona",Women,ROU,Romania,W,Gold +Los Angeles,1984,Gymnastics,Artistic G.,horizontal bar,"GUSHIKEN, Koji",Men,JPN,Japan,M,Bronze +Los Angeles,1984,Gymnastics,Artistic G.,team competition,"STANULET, Mihaela",Women,ROU,Romania,W,Gold +Los Angeles,1984,Gymnastics,Artistic G.,vault,"LOU, Yun",Men,CHN,China,M,Gold +Los Angeles,1984,Gymnastics,Artistic G.,vault,"GAYLORD, Mitchell Jay",Men,USA,United States,M,Silver +Los Angeles,1984,Gymnastics,Artistic G.,vault,"MORISUE, Shinji",Men,JPN,Japan,M,Silver +Los Angeles,1984,Gymnastics,Artistic G.,team competition,"GAYLORD, Mitchell Jay",Men,USA,United States,M,Gold +Los Angeles,1984,Gymnastics,Artistic G.,individual all-round,"LI, Ning",Men,CHN,China,M,Bronze +Los Angeles,1984,Gymnastics,Artistic G.,floor exercises,"SOTOMURA, Koji",Men,JPN,Japan,M,Bronze +Los Angeles,1984,Gymnastics,Artistic G.,team competition,"JOHNSON, Kathleen Ann",Women,USA,United States,W,Silver +Los Angeles,1984,Gymnastics,Artistic G.,team competition,"XU, Zhi-Qiang",Men,CHN,China,M,Silver +Los Angeles,1984,Gymnastics,Artistic G.,team competition,"LI, Ning",Men,CHN,China,M,Silver +Los Angeles,1984,Gymnastics,Artistic G.,team competition,"ZHOU, Qiu-Rui",Women,CHN,China,W,Bronze +Los Angeles,1984,Gymnastics,Artistic G.,team competition,"LI, Xiao-Ping",Men,CHN,China,M,Silver +Los Angeles,1984,Gymnastics,Artistic G.,team competition,"WU, Jia-Ni",Women,CHN,China,W,Bronze +Los Angeles,1984,Gymnastics,Artistic G.,team competition,"MCNAMARA, Julianne Lyn",Women,USA,United States,W,Silver +Los Angeles,1984,Gymnastics,Artistic G.,parallel bars,"GAYLORD, Mitchell Jay",Men,USA,United States,M,Bronze +Los Angeles,1984,Gymnastics,Artistic G.,vault,"SZABO, Ecaterina",Women,ROU,Romania,W,Gold +Los Angeles,1984,Gymnastics,Artistic G.,horizontal bar,"MORISUE, Shinji",Men,JPN,Japan,M,Gold +Los Angeles,1984,Gymnastics,Artistic G.,pommel horse,"VIDMAR, Peter Glen",Men,USA,United States,M,Gold +Los Angeles,1984,Gymnastics,Artistic G.,rings,"LI, Ning",Men,CHN,China,M,Gold +Los Angeles,1984,Gymnastics,Artistic G.,parallel bars,"CONNER, Barthold Wayne",Men,USA,United States,M,Gold +Los Angeles,1984,Gymnastics,Artistic G.,rings,"GUSHIKEN, Koji",Men,JPN,Japan,M,Gold +Los Angeles,1984,Gymnastics,Artistic G.,team competition,"DAGGETT, Timothy Patrick",Men,USA,United States,M,Gold +Los Angeles,1984,Gymnastics,Artistic G.,individual all-round,"VIDMAR, Peter Glen",Men,USA,United States,M,Silver +Los Angeles,1984,Gymnastics,Artistic G.,floor exercises,"RETTON, Mary-Lou",Women,USA,United States,W,Bronze +Los Angeles,1984,Gymnastics,Artistic G.,pommel horse,"DAGGETT, Timothy Patrick",Men,USA,United States,M,Bronze +Los Angeles,1984,Gymnastics,Artistic G.,team competition,"HIRATA, Noritoshi",Men,JPN,Japan,M,Bronze +Los Angeles,1984,Gymnastics,Artistic G.,uneven bars,"RETTON, Mary-Lou",Women,USA,United States,W,Bronze +Los Angeles,1984,Gymnastics,Artistic G.,team competition,"DUSSERRE, Michelle Hollis",Women,USA,United States,W,Silver +Los Angeles,1984,Gymnastics,Artistic G.,balance beam,"SZABO, Ecaterina",Women,ROU,Romania,W,Gold +Los Angeles,1984,Gymnastics,Artistic G.,vault,"LI, Ning",Men,CHN,China,M,Silver +Los Angeles,1984,Gymnastics,Artistic G.,team competition,"TALAVERA, Tracee Ann",Women,USA,United States,W,Silver +Los Angeles,1984,Gymnastics,Artistic G.,team competition,"MORISUE, Shinji",Men,JPN,Japan,M,Bronze +Los Angeles,1984,Gymnastics,Artistic G.,team competition,"SZABO, Ecaterina",Women,ROU,Romania,W,Gold +Los Angeles,1984,Gymnastics,Artistic G.,balance beam,"JOHNSON, Kathleen Ann",Women,USA,United States,W,Bronze +Los Angeles,1984,Gymnastics,Artistic G.,team competition,"VIDMAR, Peter Glen",Men,USA,United States,M,Gold +Los Angeles,1984,Gymnastics,Artistic G.,horizontal bar,"TONG, Fei",Men,CHN,China,M,Silver +Los Angeles,1984,Gymnastics,Artistic G.,floor exercises,"MCNAMARA, Julianne Lyn",Women,USA,United States,W,Silver +Los Angeles,1984,Gymnastics,Artistic G.,team competition,"SOTOMURA, Koji",Men,JPN,Japan,M,Bronze +Los Angeles,1984,Gymnastics,Artistic G.,floor exercises,"LOU, Yun",Men,CHN,China,M,Silver +Los Angeles,1984,Gymnastics,Artistic G.,pommel horse,"LI, Ning",Men,CHN,China,M,Gold +Los Angeles,1984,Gymnastics,Artistic G.,uneven bars,"MCNAMARA, Julianne Lyn",Women,USA,United States,W,Gold +Los Angeles,1984,Gymnastics,Artistic G.,team competition,"ZHOU, Ping",Women,CHN,China,W,Bronze +Los Angeles,1984,Gymnastics,Artistic G.,team competition,"GRIGORAS, Cristina Elena",Women,ROU,Romania,W,Gold +Los Angeles,1984,Gymnastics,Artistic G.,team competition,"BILEK, Pamela Jean",Women,USA,United States,W,Silver +Los Angeles,1984,Gymnastics,Artistic G.,individual all-round,"RETTON, Mary-Lou",Women,USA,United States,W,Gold +Los Angeles,1984,Gymnastics,Artistic G.,vault,"RETTON, Mary-Lou",Women,USA,United States,W,Silver +Los Angeles,1984,Gymnastics,Artistic G.,team competition,"AGACHE, Lavinia",Women,ROU,Romania,W,Gold +Los Angeles,1984,Gymnastics,Artistic G.,team competition,"LI, Yue-Jiu",Men,CHN,China,M,Silver +Los Angeles,1984,Gymnastics,Artistic G.,team competition,"PAUCA, Simona",Women,ROU,Romania,W,Gold +Los Angeles,1984,Gymnastics,Artistic G.,uneven bars,"MA, Yan-Hong",Women,CHN,China,W,Gold +Los Angeles,1984,Gymnastics,Artistic G.,vault,"AGACHE, Lavinia",Women,ROU,Romania,W,Bronze +Los Angeles,1984,Gymnastics,Artistic G.,individual all-round,"PAUCA, Simona",Women,ROU,Romania,W,Bronze +Los Angeles,1984,Gymnastics,Rhythmic G.,individual all-round,"WEBER, Regina",Women,FRG,West Germany,W,Bronze +Los Angeles,1984,Gymnastics,Rhythmic G.,individual all-round,"STAICULESCU, Doina",Women,ROU,Romania,W,Silver +Los Angeles,1984,Gymnastics,Rhythmic G.,individual all-round,"FUNG, Lori",Women,CAN,Canada,W,Gold +Los Angeles,1984,Handball,Handball,handball,"ELEZOVIC, Jovica",Men,YUG,Yugoslavia,M,Gold +Los Angeles,1984,Handball,Handball,handball,"OGNJENOVIC, Mirjana",Women,YUG,Yugoslavia,W,Gold +Los Angeles,1984,Handball,Handball,handball,"YOON, Byung-Soon",Women,KOR,"Korea, South",W,Silver +Los Angeles,1984,Handball,Handball,handball,"WANG, Lin-Wei",Women,CHN,China,W,Bronze +Los Angeles,1984,Handball,Handball,handball,"PTUJEC, Jasna",Women,YUG,Yugoslavia,W,Gold +Los Angeles,1984,Handball,Handball,handball,"SIMION, Adrian",Men,ROU,Romania,M,Bronze +Los Angeles,1984,Handball,Handball,handball,"KIM, Choon-Rye",Women,KOR,"Korea, South",W,Silver +Los Angeles,1984,Handball,Handball,handball,"ISAKOVIC, Mile",Men,YUG,Yugoslavia,M,Gold +Los Angeles,1984,Handball,Handball,handball,"ROTH, Michael",Men,FRG,West Germany,M,Silver +Los Angeles,1984,Handball,Handball,handball,"RNIC, Momir",Men,YUG,Yugoslavia,M,Gold +Los Angeles,1984,Handball,Handball,handball,"SUN, Xiu-Lan",Women,CHN,China,W,Bronze +Los Angeles,1984,Handball,Handball,handball,"HAN, Hwa-Soo",Women,KOR,"Korea, South",W,Silver +Los Angeles,1984,Handball,Handball,handball,"JEONG, Hyoi-Soon",Women,KOR,"Korea, South",W,Silver +Los Angeles,1984,Handball,Handball,handball,"WUNDERLICH, Erhard",Men,FRG,West Germany,M,Silver +Los Angeles,1984,Handball,Handball,handball,"LI, Lan",Women,CHN,China,W,Bronze +Los Angeles,1984,Handball,Handball,handball,"VOINEA, Maricel",Men,ROU,Romania,M,Bronze +Los Angeles,1984,Handball,Handball,handball,"KIM, Mi-Sook",Women,KOR,"Korea, South",W,Silver +Los Angeles,1984,Handball,Handball,handball,"STRBAC, Branko",Men,YUG,Yugoslavia,M,Gold +Los Angeles,1984,Handball,Handball,handball,"KIM, Kyung-Soon",Women,KOR,"Korea, South",W,Silver +Los Angeles,1984,Handball,Handball,handball,"DRAGESCU, George",Men,ROU,Romania,M,Bronze +Los Angeles,1984,Handball,Handball,handball,"LIU, Yu-Mei",Women,CHN,China,W,Bronze +Los Angeles,1984,Handball,Handball,handball,"SCHWENKER, Uwe",Men,FRG,West Germany,M,Silver +Los Angeles,1984,Handball,Handball,handball,"OPREA, Vasile",Men,ROU,Romania,M,Bronze +Los Angeles,1984,Handball,Handball,handball,"VUKOVIC, Veselin",Men,YUG,Yugoslavia,M,Gold +Los Angeles,1984,Handball,Handball,handball,"JANKOVIC, Ljubinka",Women,YUG,Yugoslavia,W,Gold +Los Angeles,1984,Handball,Handball,handball,"VUJOVIC, Veselin",Men,YUG,Yugoslavia,M,Gold +Los Angeles,1984,Handball,Handball,handball,"WANG, Ming-Xing",Women,CHN,China,W,Bronze +Los Angeles,1984,Handball,Handball,handball,"RADJENOVIC, Zdravko",Men,YUG,Yugoslavia,M,Gold +Los Angeles,1984,Handball,Handball,handball,"PAUL, Michael",Men,FRG,West Germany,M,Silver +Los Angeles,1984,Handball,Handball,handball,"LIU, Li-Ping",Women,CHN,China,W,Bronze +Los Angeles,1984,Handball,Handball,handball,"CHEN, Zhen",Women,CHN,China,W,Bronze +Los Angeles,1984,Handball,Handball,handball,"JURINA, Pavle",Men,YUG,Yugoslavia,M,Gold +Los Angeles,1984,Handball,Handball,handball,"WU, Xing-Jiang",Women,CHN,China,W,Bronze +Los Angeles,1984,Handball,Handball,handball,"FOLKER, Alexandru",Men,ROU,Romania,M,Bronze +Los Angeles,1984,Handball,Handball,handball,"MEFFLE, Arnulf",Men,FRG,West Germany,M,Silver +Los Angeles,1984,Handball,Handball,handball,"YOON, Soo-Kyung",Women,KOR,"Korea, South",W,Silver +Los Angeles,1984,Handball,Handball,handball,"SPRINGEL, Thomas",Men,FRG,West Germany,M,Silver +Los Angeles,1984,Handball,Handball,handball,"BERBECE, Dumitru",Men,ROU,Romania,M,Bronze +Los Angeles,1984,Handball,Handball,handball,"DURAU, Cornel",Men,ROU,Romania,M,Bronze +Los Angeles,1984,Handball,Handball,handball,"DJUKIC, Slavica",Women,YUG,Yugoslavia,W,Gold +Los Angeles,1984,Handball,Handball,handball,"DUMITRU, Marian",Men,ROU,Romania,M,Bronze +Los Angeles,1984,Handball,Handball,handball,"KIM, Ok-Hwa",Women,KOR,"Korea, South",W,Silver +Los Angeles,1984,Handball,Handball,handball,"SUNG, Kyung-Hwa",Women,KOR,"Korea, South",W,Silver +Los Angeles,1984,Handball,Handball,handball,"ANASTASOVSKI, Svetlana",Women,YUG,Yugoslavia,W,Gold +Los Angeles,1984,Handball,Handball,handball,"CUDERMAN, Alenka",Women,YUG,Yugoslavia,W,Gold +Los Angeles,1984,Handball,Handball,handball,"BASIC, Mirko",Men,YUG,Yugoslavia,M,Gold +Los Angeles,1984,Handball,Handball,handball,"ERCIC, Emilija",Women,YUG,Yugoslavia,W,Gold +Los Angeles,1984,Handball,Handball,handball,"ROCH, Siegfried",Men,FRG,West Germany,M,Silver +Los Angeles,1984,Handball,Handball,handball,"JEONG, Soon-Bok",Women,KOR,"Korea, South",W,Silver +Los Angeles,1984,Handball,Handball,handball,"NEITZEL, Rudiger",Men,FRG,West Germany,M,Silver +Los Angeles,1984,Handball,Handball,handball,"STINGA, Vasile",Men,ROU,Romania,M,Bronze +Los Angeles,1984,Handball,Handball,handball,"HAPPE, Thomas",Men,FRG,West Germany,M,Silver +Los Angeles,1984,Handball,Handball,handball,"KITIC-DASIC, Svetlana",Women,YUG,Yugoslavia,W,Gold +Los Angeles,1984,Handball,Handball,handball,"MERDAN-KOLAR, Jasna",Women,YUG,Yugoslavia,W,Gold +Los Angeles,1984,Handball,Handball,handball,"VISNJIC, Biserka",Women,YUG,Yugoslavia,W,Gold +Los Angeles,1984,Handball,Handball,handball,"ARNAUTOVIC, Zlatan",Men,YUG,Yugoslavia,M,Gold +Los Angeles,1984,Handball,Handball,handball,"KALINA, Milan",Men,YUG,Yugoslavia,M,Gold +Los Angeles,1984,Handball,Handball,handball,"MLADENOVIC, Dragan",Men,YUG,Yugoslavia,M,Gold +Los Angeles,1984,Handball,Handball,handball,"MUGOSA, Ljiljana",Women,YUG,Yugoslavia,W,Gold +Los Angeles,1984,Handball,Handball,handball,"BEDEVAN, Mircea",Men,ROU,Romania,M,Bronze +Los Angeles,1984,Handball,Handball,handball,"ZHU, Jue-Feng",Women,CHN,China,W,Bronze +Los Angeles,1984,Handball,Handball,handball,"PAVISEVIC, Zorica",Women,YUG,Yugoslavia,W,Gold +Los Angeles,1984,Handball,Handball,handball,"COVACIU, Gheorghe",Men,ROU,Romania,M,Bronze +Los Angeles,1984,Handball,Handball,handball,"WOLLER, Klaus",Men,FRG,West Germany,M,Silver +Los Angeles,1984,Handball,Handball,handball,"DJURICA, Mirjana",Women,YUG,Yugoslavia,W,Gold +Los Angeles,1984,Handball,Handball,handball,"FRAATZ, Jochen",Men,FRG,West Germany,M,Silver +Los Angeles,1984,Handball,Handball,handball,"LEE, Soon-Ei",Women,KOR,"Korea, South",W,Silver +Los Angeles,1984,Handball,Handball,handball,"HE, Jian-Ping",Women,CHN,China,W,Bronze +Los Angeles,1984,Handball,Handball,handball,"SON, Mi-Ha",Women,KOR,"Korea, South",W,Silver +Los Angeles,1984,Handball,Handball,handball,"SCHWALB, Martin",Men,FRG,West Germany,M,Silver +Los Angeles,1984,Handball,Handball,handball,"MUNTEANU, Nicolae",Men,ROU,Romania,M,Bronze +Los Angeles,1984,Handball,Handball,handball,"ZHANG, Wei-Hong",Women,CHN,China,W,Bronze +Los Angeles,1984,Handball,Handball,handball,"ZHANG, Pei-Jun",Women,CHN,China,W,Bronze +Los Angeles,1984,Handball,Handball,handball,"BULIGAN, Alexandru",Men,ROU,Romania,M,Bronze +Los Angeles,1984,Handball,Handball,handball,"KUZMANOVSKI, Slobodan",Men,YUG,Yugoslavia,M,Gold +Los Angeles,1984,Handball,Handball,handball,"LEE, Young-Ja",Women,KOR,"Korea, South",W,Silver +Los Angeles,1984,Handball,Handball,handball,"ROTH, Ulrich",Men,FRG,West Germany,M,Silver +Los Angeles,1984,Handball,Handball,handball,"VASILCA, Neculai",Men,ROU,Romania,M,Bronze +Los Angeles,1984,Handball,Handball,handball,"DJURIC, Dragica",Women,YUG,Yugoslavia,W,Gold +Los Angeles,1984,Handball,Handball,handball,"MUGOSA-ANTIT, Svetlana",Women,YUG,Yugoslavia,W,Gold +Los Angeles,1984,Handball,Handball,handball,"BOROS, Iosif",Men,ROU,Romania,M,Bronze +Los Angeles,1984,Handball,Handball,handball,"RAUIN, Dirk",Men,FRG,West Germany,M,Silver +Los Angeles,1984,Handball,Handball,handball,"ZOVKO, Zdravko",Men,YUG,Yugoslavia,M,Gold +Los Angeles,1984,Handball,Handball,handball,"GAO, Xiu-Min",Women,CHN,China,W,Bronze +Los Angeles,1984,Handball,Handball,handball,"THIEL, Andreas",Men,FRG,West Germany,M,Silver +Los Angeles,1984,Hockey,Hockey,hockey,"KALEEM, Ullah",Men,PAK,Pakistan,M,Gold +Los Angeles,1984,Hockey,Hockey,hockey,"HANEL, Horst-Ulrich",Men,FRG,West Germany,M,Silver +Los Angeles,1984,Hockey,Hockey,hockey,"POS, Alette",Women,NED,Netherlands,W,Gold +Los Angeles,1984,Hockey,Hockey,hockey,"KERLY, Sean Robin",Men,GBR,United Kingdom,M,Bronze +Los Angeles,1984,Hockey,Hockey,hockey,"MCCONNELL, William David Robert",Men,GBR,United Kingdom,M,Bronze +Los Angeles,1984,Hockey,Hockey,hockey,"MOYER, Diane Marie",Women,USA,United States,W,Bronze +Los Angeles,1984,Hockey,Hockey,hockey,"MORETT, Charlene Frances",Women,USA,United States,W,Bronze +Los Angeles,1984,Hockey,Hockey,hockey,"ROTH, Hella",Women,FRG,West Germany,W,Silver +Los Angeles,1984,Hockey,Hockey,hockey,"NAEEM, Akhtar",Men,PAK,Pakistan,M,Gold +Los Angeles,1984,Hockey,Hockey,hockey,"MARTIN, Stephen Alexander.",Men,GBR,United Kingdom,M,Bronze +Los Angeles,1984,Hockey,Hockey,hockey,"ANDERS, Elizabeth Rambo",Women,USA,United States,W,Bronze +Los Angeles,1984,Hockey,Hockey,hockey,"BRINKMANN, Dirk",Men,FRG,West Germany,M,Silver +Los Angeles,1984,Hockey,Hockey,hockey,"BOLHUIS-EIJSVOGEL, Maria Yolanda C.",Women,NED,Netherlands,W,Gold +Los Angeles,1984,Hockey,Hockey,hockey,"HUGHES, Norman",Men,GBR,United Kingdom,M,Bronze +Los Angeles,1984,Hockey,Hockey,hockey,"BREIKEN-BREMER, Dagmar",Women,FRG,West Germany,W,Silver +Los Angeles,1984,Hockey,Hockey,hockey,"RECK, Thomas Werner",Men,FRG,West Germany,M,Silver +Los Angeles,1984,Hockey,Hockey,hockey,"ISHTIAQ, Ahmed",Men,PAK,Pakistan,M,Gold +Los Angeles,1984,Hockey,Hockey,hockey,"BHAURA, Kulbir Singh",Men,GBR,United Kingdom,M,Bronze +Los Angeles,1984,Hockey,Hockey,hockey,"SCHMIDT-OPPER, Ekkhard",Men,FRG,West Germany,M,Silver +Los Angeles,1984,Hockey,Hockey,hockey,"DRULL, Elke",Women,FRG,West Germany,W,Silver +Los Angeles,1984,Hockey,Hockey,hockey,"MANZOOR, Hussain",Men,PAK,Pakistan,M,Gold +Los Angeles,1984,Hockey,Hockey,hockey,"BENNINGA, Carina",Women,NED,Netherlands,W,Gold +Los Angeles,1984,Hockey,Hockey,hockey,"SCHMID, Susanne Leonie",Women,FRG,West Germany,W,Silver +Los Angeles,1984,Hockey,Hockey,hockey,"BUGGY, Regina E.",Women,USA,United States,W,Bronze +Los Angeles,1984,Hockey,Hockey,hockey,"PAPPIN, Veryan Guy Henry",Men,GBR,United Kingdom,M,Bronze +Los Angeles,1984,Hockey,Hockey,hockey,"HASSAN, Sardar",Men,PAK,Pakistan,M,Gold +Los Angeles,1984,Hockey,Hockey,hockey,"POTTER, Jonathan Nicholas M.",Men,GBR,United Kingdom,M,Bronze +Los Angeles,1984,Hockey,Hockey,hockey,"BATCHELOR, Steven James",Men,GBR,United Kingdom,M,Bronze +Los Angeles,1984,Hockey,Hockey,hockey,"DOPP, Heiner",Men,FRG,West Germany,M,Silver +Los Angeles,1984,Hockey,Hockey,hockey,"SLAWYK, Markku",Men,FRG,West Germany,M,Silver +Los Angeles,1984,Hockey,Hockey,hockey,"MCCAHEY, Kathleen Ann",Women,USA,United States,W,Bronze +Los Angeles,1984,Hockey,Hockey,hockey,"FRANK, Tobias",Men,FRG,West Germany,M,Silver +Los Angeles,1984,Hockey,Hockey,hockey,"MOIN UD DIN, Ghulam",Men,PAK,Pakistan,M,Gold +Los Angeles,1984,Hockey,Hockey,hockey,"KELLER, Andreas",Men,FRG,West Germany,M,Silver +Los Angeles,1984,Hockey,Hockey,hockey,"BOEKHORST, Josephine",Women,NED,Netherlands,W,Gold +Los Angeles,1984,Hockey,Hockey,hockey,"APPEL, Gabriele Marion",Women,FRG,West Germany,W,Silver +Los Angeles,1984,Hockey,Hockey,hockey,"BLÖCHER, Stefan",Men,FRG,West Germany,M,Silver +Los Angeles,1984,Hockey,Hockey,hockey,"OTT, Patricia",Women,FRG,West Germany,W,Silver +Los Angeles,1984,Hockey,Hockey,hockey,"VON WEILER, Sophie Pauline",Women,NED,Netherlands,W,Gold +Los Angeles,1984,Hockey,Hockey,hockey,"HILLEN, Francisca",Women,NED,Netherlands,W,Gold +Los Angeles,1984,Hockey,Hockey,hockey,"THIELEMANN, Ursula",Women,FRG,West Germany,W,Silver +Los Angeles,1984,Hockey,Hockey,hockey,"MILLER, Anita Corl",Women,USA,United States,W,Bronze +Los Angeles,1984,Hockey,Hockey,hockey,"SCHLEY-SCHÖWE, Gabriele",Women,FRG,West Germany,W,Silver +Los Angeles,1984,Hockey,Hockey,hockey,"KHAN, Shahid Ali",Men,PAK,Pakistan,M,Gold +Los Angeles,1984,Hockey,Hockey,hockey,"KHALID, Hameed",Men,PAK,Pakistan,M,Gold +Los Angeles,1984,Hockey,Hockey,hockey,"GUNST, Thomas",Men,FRG,West Germany,M,Silver +Los Angeles,1984,Hockey,Hockey,hockey,"KHAN, Hanir",Men,PAK,Pakistan,M,Gold +Los Angeles,1984,Hockey,Hockey,hockey,"STAUFFER, Brenda Lee",Women,USA,United States,W,Bronze +Los Angeles,1984,Hockey,Hockey,hockey,"WILLEMSE, Laurien",Women,NED,Netherlands,W,Gold +Los Angeles,1984,Hockey,Hockey,hockey,"NIEUWEWNHUIZEN, Anne Lucia (Anneloes)",Women,NED,Netherlands,W,Gold +Los Angeles,1984,Hockey,Hockey,hockey,"VAN MANEN, Aletta",Women,NED,Netherlands,W,Gold +Los Angeles,1984,Hockey,Hockey,hockey,"DAR, Tauqeer",Men,PAK,Pakistan,M,Gold +Los Angeles,1984,Hockey,Hockey,hockey,"BEGLIN, Elizabeth Anne",Women,USA,United States,W,Bronze +Los Angeles,1984,Hockey,Hockey,hockey,"QASIM, Zia",Men,PAK,Pakistan,M,Gold +Los Angeles,1984,Hockey,Hockey,hockey,"LARSON-MASON, Christine",Women,USA,United States,W,Bronze +Los Angeles,1984,Hockey,Hockey,hockey,"OHR, Martine",Women,NED,Netherlands,W,Gold +Los Angeles,1984,Hockey,Hockey,hockey,"DODDS, Richard David Allan",Men,GBR,United Kingdom,M,Bronze +Los Angeles,1984,Hockey,Hockey,hockey,"LINGNAU, Corinna",Women,FRG,West Germany,W,Silver +Los Angeles,1984,Hockey,Hockey,hockey,"NASIR, Ali",Men,PAK,Pakistan,M,Gold +Los Angeles,1984,Hockey,Hockey,hockey,"MUSHTAQ, Ahmed",Men,PAK,Pakistan,M,Gold +Los Angeles,1984,Hockey,Hockey,hockey,"STRONG, Judith Ann",Women,USA,United States,W,Bronze +Los Angeles,1984,Hockey,Hockey,hockey,"HENDRIKS, Irene",Women,NED,Netherlands,W,Gold +Los Angeles,1984,Hockey,Hockey,hockey,"VAN DOORN, Marieke Birgitta",Women,NED,Netherlands,W,Gold +Los Angeles,1984,Hockey,Hockey,hockey,"MEHMOOD, Ayaz",Men,PAK,Pakistan,M,Gold +Los Angeles,1984,Hockey,Hockey,hockey,"WEIERMANN-LIETZ, Andrea",Women,FRG,West Germany,W,Silver +Los Angeles,1984,Hockey,Hockey,hockey,"KOCH-HALLMEN, Martina",Women,FRG,West Germany,W,Silver +Los Angeles,1984,Hockey,Hockey,hockey,"LE POOLE, Alexandra",Women,NED,Netherlands,W,Gold +Los Angeles,1984,Hockey,Hockey,hockey,"PLACE, Marcella Jeanette",Women,USA,United States,W,Bronze +Los Angeles,1984,Hockey,Hockey,hockey,"CHEESEMAN, Gwen Wentz",Women,USA,United States,W,Bronze +Los Angeles,1984,Hockey,Hockey,hockey,"LANDGRAF, Sigrid",Women,FRG,West Germany,W,Silver +Los Angeles,1984,Hockey,Hockey,hockey,"STAVER, Julia Ann",Women,USA,United States,W,Bronze +Los Angeles,1984,Hockey,Hockey,hockey,"MOSER, Christina",Women,FRG,West Germany,W,Silver +Los Angeles,1984,Hockey,Hockey,hockey,"BARBER, Paul Jason",Men,GBR,United Kingdom,M,Bronze +Los Angeles,1984,Hockey,Hockey,hockey,"MILNE, Leslie Woods",Women,USA,United States,W,Bronze +Los Angeles,1984,Hockey,Hockey,hockey,"HAGEN, Birgit",Women,FRG,West Germany,W,Silver +Los Angeles,1984,Hockey,Hockey,hockey,"DUTHIE, James Livingstone",Men,GBR,United Kingdom,M,Bronze +Los Angeles,1984,Hockey,Hockey,hockey,"PRECIOUS, Mark",Men,GBR,United Kingdom,M,Bronze +Los Angeles,1984,Hockey,Hockey,hockey,"WESTCOTT, David Guy",Men,GBR,United Kingdom,M,Bronze +Los Angeles,1984,Hockey,Hockey,hockey,"ABDUL, Rashid IV",Men,PAK,Pakistan,M,Gold +Los Angeles,1984,Hockey,Hockey,hockey,"DEININGER, Beate",Women,FRG,West Germany,W,Silver +Los Angeles,1984,Hockey,Hockey,hockey,"CATTRALL, Robert Lewis",Men,GBR,United Kingdom,M,Bronze +Los Angeles,1984,Hockey,Hockey,hockey,"SEVENS, Elisabeth Anthonius",Women,NED,Netherlands,W,Gold +Los Angeles,1984,Hockey,Hockey,hockey,"BASSEMIR, Christian",Men,FRG,West Germany,M,Silver +Los Angeles,1984,Hockey,Hockey,hockey,"SHELTON, Karen Christina",Women,USA,United States,W,Bronze +Los Angeles,1984,Hockey,Hockey,hockey,"TAYLOR, Ian Charles Boucher",Men,GBR,United Kingdom,M,Bronze +Los Angeles,1984,Hockey,Hockey,hockey,"SHERWANI, Saleem",Men,PAK,Pakistan,M,Gold +Los Angeles,1984,Hockey,Hockey,hockey,"HURTER, Karl-Joachim",Men,FRG,West Germany,M,Silver +Los Angeles,1984,Hockey,Hockey,hockey,"KRULL, Reinhard",Men,FRG,West Germany,M,Silver +Los Angeles,1984,Hockey,Hockey,hockey,"ZEGERS, Margriet",Women,NED,Netherlands,W,Gold +Los Angeles,1984,Hockey,Hockey,hockey,"HAHN, Birgit",Women,FRG,West Germany,W,Silver +Los Angeles,1984,Hockey,Hockey,hockey,"FRIED, Volker",Men,FRG,West Germany,M,Silver +Los Angeles,1984,Hockey,Hockey,hockey,"FISCHER, Carsten",Men,FRG,West Germany,M,Silver +Los Angeles,1984,Hockey,Hockey,hockey,"JOHNSON, Sheryl Ann",Women,USA,United States,W,Bronze +Los Angeles,1984,Hockey,Hockey,hockey,"LEMAN, Richard Alexander",Men,GBR,United Kingdom,M,Bronze +Los Angeles,1984,Hockey,Hockey,hockey,"DE BEUS, Bernadette",Women,NED,Netherlands,W,Gold +Los Angeles,1984,Hockey,Hockey,hockey,"PETER, Michael",Men,FRG,West Germany,M,Silver +Los Angeles,1984,Judo,Judo,86 - 95kg (half-heavyweight),"NEUREUTHER, Günther",Men,FRG,West Germany,M,Bronze +Los Angeles,1984,Judo,Judo,- 60 kg,"ECKERSLEY, Neil",Men,GBR,United Kingdom,M,Bronze +Los Angeles,1984,Judo,Judo,open category,"SCHNABEL, Arthur",Men,FRG,West Germany,M,Bronze +Los Angeles,1984,Judo,Judo,71 - 78kg (half-middleweight),"WIENEKE, Frank",Men,FRG,West Germany,M,Gold +Los Angeles,1984,Judo,Judo,+ 95kg (heavyweight),"SAITO, Hitoshi",Men,JPN,Japan,M,Gold +Los Angeles,1984,Judo,Judo,- 60 kg,"LIDDIE, Edward J.",Men,USA,United States,M,Bronze +Los Angeles,1984,Judo,Judo,60 - 65kg (half-lightweight),"ALEXANDRE, Marc",Men,FRA,France,M,Bronze +Los Angeles,1984,Judo,Judo,65 - 71kg (lightweight),"BROWN, Kerrith",Men,GBR,United Kingdom,M,Bronze +Los Angeles,1984,Judo,Judo,71 - 78kg (half-middleweight),"ADAMS, Neil",Men,GBR,United Kingdom,M,Silver +Los Angeles,1984,Judo,Judo,60 - 65kg (half-lightweight),"HWANG, Jun-Oh",Men,KOR,"Korea, South",M,Silver +Los Angeles,1984,Judo,Judo,71 - 78kg (half-middleweight),"NOWAK, Michel",Men,FRA,France,M,Bronze +Los Angeles,1984,Judo,Judo,71 - 78kg (half-middleweight),"FRATICA, Mircea",Men,ROU,Romania,M,Bronze +Los Angeles,1984,Judo,Judo,- 60 kg,"HOSOKAWA, Shinji",Men,JPN,Japan,M,Gold +Los Angeles,1984,Judo,Judo,- 60 kg,"KIM, Jae-Yup",Men,KOR,"Korea, South",M,Silver +Los Angeles,1984,Judo,Judo,+ 95kg (heavyweight),"BERGER, Marc",Men,CAN,Canada,M,Bronze +Los Angeles,1984,Judo,Judo,78 - 86kg (middleweight),"BERLAND, Robert Lee",Men,USA,United States,M,Silver +Los Angeles,1984,Judo,Judo,86 - 95kg (half-heavyweight),"FRIDRIKSSON, Bjarni",Men,ISL,Iceland,M,Bronze +Los Angeles,1984,Judo,Judo,78 - 86kg (middleweight),"NOSE, Seiki",Men,JPN,Japan,M,Bronze +Los Angeles,1984,Judo,Judo,+ 95kg (heavyweight),"PARISI, Angelo",Men,FRA,France,M,Silver +Los Angeles,1984,Judo,Judo,60 - 65kg (half-lightweight),"REITER, Josef",Men,AUT,Austria,M,Bronze +Los Angeles,1984,Judo,Judo,open category,"CIOC, Mihai",Men,ROU,Romania,M,Bronze +Los Angeles,1984,Judo,Judo,60 - 65kg (half-lightweight),"MATSUOKA, Yoshiyuki",Men,JPN,Japan,M,Gold +Los Angeles,1984,Judo,Judo,86 - 95kg (half-heavyweight),"HA, Hyung-Zoo",Men,KOR,"Korea, South",M,Gold +Los Angeles,1984,Judo,Judo,65 - 71kg (lightweight),"AHN, Byung-Keun",Men,KOR,"Korea, South",M,Gold +Los Angeles,1984,Judo,Judo,78 - 86kg (middleweight),"CARMONA, Walter",Men,BRA,Brazil,M,Bronze +Los Angeles,1984,Judo,Judo,65 - 71kg (lightweight),"GAMBA, Ezio",Men,ITA,Italy,M,Silver +Los Angeles,1984,Judo,Judo,86 - 95kg (half-heavyweight),"VIEIRA, Douglas",Men,BRA,Brazil,M,Silver +Los Angeles,1984,Judo,Judo,open category,"YAMASHITA, Yasuhiro",Men,JPN,Japan,M,Gold +Los Angeles,1984,Judo,Judo,open category,"RASHWAN, Mohamed",Men,EGY,Egypt,M,Silver +Los Angeles,1984,Judo,Judo,78 - 86kg (middleweight),"SEISENBACHER, Peter",Men,AUT,Austria,M,Gold +Los Angeles,1984,Judo,Judo,+ 95kg (heavyweight),"CHO, Yong-Chul",Men,KOR,"Korea, South",M,Bronze +Los Angeles,1984,Judo,Judo,65 - 71kg (lightweight),"YOSHIO ONMURA, Luiz Yoshio",Men,BRA,Brazil,M,Bronze +Los Angeles,1984,Modern Pentathlon,Modern Pentath.,Team competition,"GLENESK, Dean William",Men,USA,United States,M,Silver +Los Angeles,1984,Modern Pentathlon,Modern Pentath.,Individual competition,"MASALA, Daniele",Men,ITA,Italy,M,Gold +Los Angeles,1984,Modern Pentathlon,Modern Pentath.,Team competition,"MASALA, Daniele",Men,ITA,Italy,M,Gold +Los Angeles,1984,Modern Pentathlon,Modern Pentath.,Team competition,"FOUR, Paul",Men,FRA,France,M,Bronze +Los Angeles,1984,Modern Pentathlon,Modern Pentath.,Individual competition,"RASMUSON, Svante",Men,SWE,Sweden,M,Silver +Los Angeles,1984,Modern Pentathlon,Modern Pentath.,Team competition,"BOUZOU, Joel",Men,FRA,France,M,Bronze +Los Angeles,1984,Modern Pentathlon,Modern Pentath.,Team competition,"MASSULLO, Carlo",Men,ITA,Italy,M,Gold +Los Angeles,1984,Modern Pentathlon,Modern Pentath.,Individual competition,"MASSULLO, Carlo",Men,ITA,Italy,M,Bronze +Los Angeles,1984,Modern Pentathlon,Modern Pentath.,Team competition,"BOUBE, Didier",Men,FRA,France,M,Bronze +Los Angeles,1984,Modern Pentathlon,Modern Pentath.,Team competition,"CRISTOFORI, Pier Paolo",Men,ITA,Italy,M,Gold +Los Angeles,1984,Modern Pentathlon,Modern Pentath.,Team competition,"STORM, Michael Earle",Men,USA,United States,M,Silver +Los Angeles,1984,Modern Pentathlon,Modern Pentath.,Team competition,"LOSEY, Robert Gregory",Men,USA,United States,M,Silver +Los Angeles,1984,Rowing,Rowing,four without coxswain (4-),"ROBERTSON, Conrad",Men,NZL,New Zealand,M,Gold +Los Angeles,1984,Rowing,Rowing,four-oared shell with coxswain (4-),"CROSS, Martin",Men,GBR,United Kingdom,M,Gold +Los Angeles,1984,Rowing,Rowing,four-oared shell with coxswain (4-),"REDGRAVE, Steven",Men,GBR,United Kingdom,M,Gold +Los Angeles,1984,Rowing,Rowing,quadruple sculls with coxswain (4x),"ERIKSEN, Hanne Mandsfeldt",Women,DEN,Denmark,W,Bronze +Los Angeles,1984,Rowing,Rowing,pair-oared shell with coxswain (2+),"STILL, Kevin Raymond",Men,USA,United States,M,Bronze +Los Angeles,1984,Rowing,Rowing,quadruple sculls with coxswain (4x),"HANEL, Birgitte",Women,DEN,Denmark,W,Bronze +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"METCALF, Harriet Morris",Women,USA,United States,W,Gold +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"BOWER, Caroll Ann",Women,USA,United States,W,Gold +Los Angeles,1984,Rowing,Rowing,quadruple sculls without coxswain (4x),"GULLOCK, Gary",Men,AUS,Australia,M,Silver +Los Angeles,1984,Rowing,Rowing,coxless pair (2-),"LASURTEGUI BERRIDI, Luis Maria",Men,ESP,Spain,M,Silver +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"MIHALY, Aneta",Women,ROU,Romania,W,Silver +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"HORN, Blair J.H.",Men,CAN,Canada,M,Gold +Los Angeles,1984,Rowing,Rowing,four-oared shell with coxswain (4-),"APOSTOL, Chira",Women,ROU,Romania,W,Gold +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"LUBSEN, Walter Harry Jr.",Men,USA,United States,M,Silver +Los Angeles,1984,Rowing,Rowing,pair without coxswain (2-),"OPREA-HORVAT, Elena",Women,ROU,Romania,W,Gold +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"MAIN, Gerald Grant",Men,CAN,Canada,M,Gold +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"PATTEN, Samuel",Men,AUS,Australia,M,Bronze +Los Angeles,1984,Rowing,Rowing,four-oared shell with coxswain (4-),"BUDGETT, Richard Gordon M.",Men,GBR,United Kingdom,M,Gold +Los Angeles,1984,Rowing,Rowing,quadruple sculls with coxswain (4x),"KOEFOED, Inger Charlotte",Women,DEN,Denmark,W,Bronze +Los Angeles,1984,Rowing,Rowing,double sculls (2x),"HELLEMANS, Nicolette",Women,NED,Netherlands,W,Silver +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"EVANS, Stephen",Men,AUS,Australia,M,Bronze +Los Angeles,1984,Rowing,Rowing,quadruple sculls with coxswain (4x),"CORBAN, Sofia",Women,ROU,Romania,W,Gold +Los Angeles,1984,Rowing,Rowing,double sculls (2x),"DELOOF, Pierre Marie",Men,BEL,Belgium,M,Silver +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"PENNY, Christopher Gore",Men,USA,United States,M,Silver +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"EVANS, Mark",Men,CAN,Canada,M,Gold +Los Angeles,1984,Rowing,Rowing,single sculls (1x),"HAESEBROUCK, Ann",Women,BEL,Belgium,W,Bronze +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"HELLEMANS, Greet",Women,NED,Netherlands,W,Bronze +Los Angeles,1984,Rowing,Rowing,quadruple sculls with coxswain (4x),"SORENSEN, Jette Hejli",Women,DEN,Denmark,W,Bronze +Los Angeles,1984,Rowing,Rowing,four-oared shell with coxswain (4-),"ARMBRUST, Barbara",Women,CAN,Canada,W,Silver +Los Angeles,1984,Rowing,Rowing,double sculls (2x),"STANULOV, Milorad",Men,YUG,Yugoslavia,M,Bronze +Los Angeles,1984,Rowing,Rowing,pair-oared shell with coxswain (2+),"ESPESETH, Robert Douglas, Jr.",Men,USA,United States,M,Bronze +Los Angeles,1984,Rowing,Rowing,single sculls (1x),"KOLBE, Peter-Michael",Men,FRG,West Germany,M,Silver +Los Angeles,1984,Rowing,Rowing,four-oared shell with coxswain (4-),"MABBOTT, Barrie",Men,NZL,New Zealand,M,Bronze +Los Angeles,1984,Rowing,Rowing,four-oared shell with coxswain (4-),"SYMON, Donald",Men,NZL,New Zealand,M,Bronze +Los Angeles,1984,Rowing,Rowing,double sculls (2x),"HELLEMANS, Greet",Women,NED,Netherlands,W,Silver +Los Angeles,1984,Rowing,Rowing,four without coxswain (4-),"CLARK, David Robert",Men,USA,United States,M,Silver +Los Angeles,1984,Rowing,Rowing,four-oared shell with coxswain (4-),"HOMEGHI-BULARDA, Olga",Women,ROU,Romania,W,Gold +Los Angeles,1984,Rowing,Rowing,single sculls (1x),"KARPPINEN, Pertti",Men,FIN,Finland,M,Gold +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"CLAPP, Charles Elmer III.",Men,USA,United States,M,Silver +Los Angeles,1984,Rowing,Rowing,four-oared shell with coxswain (4-),"TONG, Ross",Men,NZL,New Zealand,M,Bronze +Los Angeles,1984,Rowing,Rowing,four-oared shell with coxswain (4-),"SPRINGER, Gregory T.",Men,USA,United States,M,Silver +Los Angeles,1984,Rowing,Rowing,four without coxswain (4-),"RASMUSSEN, Per",Men,DEN,Denmark,M,Bronze +Los Angeles,1984,Rowing,Rowing,four-oared shell with coxswain (4-),"CHAPMAN-POPA, Susan",Women,AUS,Australia,W,Bronze +Los Angeles,1984,Rowing,Rowing,quadruple sculls without coxswain (4x),"HUGHES, Michael",Men,CAN,Canada,M,Bronze +Los Angeles,1984,Rowing,Rowing,four without coxswain (4-),"CHRISTIANSEN, Erik",Men,DEN,Denmark,M,Bronze +Los Angeles,1984,Rowing,Rowing,four-oared shell with coxswain (4-),"THOMPSON, Lesley Allison",Women,CAN,Canada,W,Silver +Los Angeles,1984,Rowing,Rowing,quadruple sculls with coxswain (4x),"TARAN, Titie",Women,ROU,Romania,W,Gold +Los Angeles,1984,Rowing,Rowing,quadruple sculls with coxswain (4x),"MARDEN, Anne R.",Women,USA,United States,W,Silver +Los Angeles,1984,Rowing,Rowing,quadruple sculls with coxswain (4x),"RASMUSSEN, Bodil Steen",Women,DEN,Denmark,W,Bronze +Los Angeles,1984,Rowing,Rowing,four-oared shell with coxswain (4-),"ELLISON, Adrian Charles",Men,GBR,United Kingdom,M,Gold +Los Angeles,1984,Rowing,Rowing,pair without coxswain (2-),"CRAIG, Elizabeth",Women,CAN,Canada,W,Silver +Los Angeles,1984,Rowing,Rowing,coxless pair (2-),"GREPPERUD, Hans Magnus",Men,NOR,Norway,M,Bronze +Los Angeles,1984,Rowing,Rowing,four-oared shell with coxswain (4-),"FOSTER, Margot",Women,AUS,Australia,W,Bronze +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"QUIST, Anne-Marie",Women,NED,Netherlands,W,Bronze +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"EDMUNDS, Ian",Men,AUS,Australia,M,Bronze +Los Angeles,1984,Rowing,Rowing,four without coxswain (4-),"STEKL, Philip William",Men,USA,United States,M,Silver +Los Angeles,1984,Rowing,Rowing,four without coxswain (4-),"O'CONNELL, Leslie",Men,NZL,New Zealand,M,Gold +Los Angeles,1984,Rowing,Rowing,pair-oared shell with coxswain (2+),"ABBAGNALE, Carmine",Men,ITA,Italy,M,Gold +Los Angeles,1984,Rowing,Rowing,double sculls (2x),"LAUMANN, Silken Suzette",Women,CAN,Canada,W,Bronze +Los Angeles,1984,Rowing,Rowing,four-oared shell with coxswain (4-),"BRANCOURT-POLLOCK, Karen",Women,AUS,Australia,W,Bronze +Los Angeles,1984,Rowing,Rowing,coxless pair (2-),"LOKEN, Sverre Bertrand",Men,NOR,Norway,M,Bronze +Los Angeles,1984,Rowing,Rowing,pair-oared shell with coxswain (2+),"TOMOIAGA, Vasile",Men,ROU,Romania,M,Silver +Los Angeles,1984,Rowing,Rowing,double sculls (2x),"LIPA, Elisabeta",Women,ROU,Romania,W,Gold +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"VAN DROGENBROEK, Marieke",Women,NED,Netherlands,W,Bronze +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"BORCHERT, Earl Frederick",Men,USA,United States,M,Silver +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"JAUGSTETTER, Robert C.",Men,USA,United States,M,Silver +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"HELLEMANS, Nicolette",Women,NED,Netherlands,W,Bronze +Los Angeles,1984,Rowing,Rowing,coxless pair (2-),"CLIMENT HUERTA, Fernando",Men,ESP,Spain,M,Silver +Los Angeles,1984,Rowing,Rowing,quadruple sculls with coxswain (4x),"LIND, Joan Louise",Women,USA,United States,W,Silver +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"SAUCA, Lucia",Women,ROU,Romania,W,Silver +Los Angeles,1984,Rowing,Rowing,pair-oared shell with coxswain (2+),"RADUCANU, Dumitru",Men,ROU,Romania,M,Silver +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"VAN ETTEKOVEN, Harriet",Women,NED,Netherlands,W,Bronze +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"HEFER, Clyde",Men,AUS,Australia,M,Bronze +Los Angeles,1984,Rowing,Rowing,double sculls (2x),"LAUMANN, Daniele",Women,CAN,Canada,W,Bronze +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"NEELISSEN, Catalien",Women,NED,Netherlands,W,Bronze +Los Angeles,1984,Rowing,Rowing,quadruple sculls without coxswain (4x),"FORD, Bruce",Men,CAN,Canada,M,Bronze +Los Angeles,1984,Rowing,Rowing,double sculls (2x),"POPESCU, Marioara",Women,ROU,Romania,W,Gold +Los Angeles,1984,Rowing,Rowing,four-oared shell with coxswain (4-),"SCHNEIDER, Angela",Women,CAN,Canada,W,Silver +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"BALAN-SNEP, Doina Lilian",Women,ROU,Romania,W,Silver +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"MCMAHON, Robert Brian",Men,CAN,Canada,M,Gold +Los Angeles,1984,Rowing,Rowing,four-oared shell with coxswain (4-),"IVES, Edward Ashley",Men,USA,United States,M,Silver +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"DARLING, Thomas Ward",Men,USA,United States,M,Silver +Los Angeles,1984,Rowing,Rowing,quadruple sculls without coxswain (4x),"REEDY, Paul",Men,AUS,Australia,M,Silver +Los Angeles,1984,Rowing,Rowing,four without coxswain (4-),"SMITH, Jonathan S.",Men,USA,United States,M,Silver +Los Angeles,1984,Rowing,Rowing,pair-oared shell with coxswain (2+),"HERLAND, Douglas John",Men,USA,United States,M,Bronze +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"NORELIUS, Kristine Lee",Women,USA,United States,W,Gold +Los Angeles,1984,Rowing,Rowing,four without coxswain (4-),"TRASK, Keith",Men,NZL,New Zealand,M,Gold +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"FLANAGAN, Jeanne Ann",Women,USA,United States,W,Gold +Los Angeles,1984,Rowing,Rowing,pair without coxswain (2-),"SMITH, Patricia",Women,CAN,Canada,W,Silver +Los Angeles,1984,Rowing,Rowing,pair-oared shell with coxswain (2+),"ABBAGNALE, Giuseppe",Men,ITA,Italy,M,Gold +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"MULLER, Craig",Men,AUS,Australia,M,Bronze +Los Angeles,1984,Rowing,Rowing,four-oared shell with coxswain (4-),"HOLMES, Andrew John",Men,GBR,United Kingdom,M,Gold +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"BATTERSBY, James",Men,AUS,Australia,M,Bronze +Los Angeles,1984,Rowing,Rowing,four-oared shell with coxswain (4-),"LEE, Susan",Women,AUS,Australia,W,Bronze +Los Angeles,1984,Rowing,Rowing,four without coxswain (4-),"O'Brien, Shane",Men,NZL,New Zealand,M,Gold +Los Angeles,1984,Rowing,Rowing,four-oared shell with coxswain (4-),"TANASA-FRICIOIU, Maria",Women,ROU,Romania,W,Gold +Los Angeles,1984,Rowing,Rowing,quadruple sculls without coxswain (4x),"MCLAREN, Timothy",Men,AUS,Australia,M,Silver +Los Angeles,1984,Rowing,Rowing,quadruple sculls with coxswain (4x),"ROHDE, Lisa Diane",Women,USA,United States,W,Silver +Los Angeles,1984,Rowing,Rowing,double sculls (2x),"PANCIC, Zoran",Men,YUG,Yugoslavia,M,Bronze +Los Angeles,1984,Rowing,Rowing,four without coxswain (4-),"FORNEY, Alan Michael",Men,USA,United States,M,Silver +Los Angeles,1984,Rowing,Rowing,quadruple sculls without coxswain (4x),"HAMILTON, Douglas",Men,CAN,Canada,M,Bronze +Los Angeles,1984,Rowing,Rowing,four-oared shell with coxswain (4-),"BACH, Michael",Men,USA,United States,M,Silver +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"TERWILLIGER, John Richard",Men,USA,United States,M,Silver +Los Angeles,1984,Rowing,Rowing,quadruple sculls with coxswain (4x),"RICKON, Kelly Anne",Women,USA,United States,W,Silver +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"TRASCA, Marioara",Women,ROU,Romania,W,Silver +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"IBBETSON, Bruce Bernard",Men,USA,United States,M,Silver +Los Angeles,1984,Rowing,Rowing,four-oared shell with coxswain (4-),"HOLLISTER, Brett",Men,NZL,New Zealand,M,Bronze +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"CORNET, Lynda",Women,NED,Netherlands,W,Bronze +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"EVANS, Michael",Men,CAN,Canada,M,Gold +Los Angeles,1984,Rowing,Rowing,single sculls (1x),"MILLS, Robert",Men,CAN,Canada,M,Bronze +Los Angeles,1984,Rowing,Rowing,quadruple sculls without coxswain (4x),"MONCKTON, Philip",Men,CAN,Canada,M,Bronze +Los Angeles,1984,Rowing,Rowing,single sculls (1x),"GEER, Charlotte Mosher",Women,USA,United States,W,Silver +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"DIACONESCU, Camelia",Women,ROU,Romania,W,Silver +Los Angeles,1984,Rowing,Rowing,coxless pair (2-),"IOSUB, Petru",Men,ROU,Romania,M,Gold +Los Angeles,1984,Rowing,Rowing,single sculls (1x),"ROSCA-RASILA, Valeria",Women,ROU,Romania,W,Gold +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"POPA, Ion",Men,AUS,Australia,M,Bronze +Los Angeles,1984,Rowing,Rowing,pair without coxswain (2-),"PUSCATU-ARBA, Rodica",Women,ROU,Romania,W,Gold +Los Angeles,1984,Rowing,Rowing,quadruple sculls without coxswain (4x),"WIEDENMANN, Dieter",Men,FRG,West Germany,M,Gold +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"GRAVES, Carolyn Brand",Women,USA,United States,W,Gold +Los Angeles,1984,Rowing,Rowing,pair without coxswain (2-),"VOLKNER, Iris",Women,FRG,West Germany,W,Bronze +Los Angeles,1984,Rowing,Rowing,quadruple sculls with coxswain (4x),"SOROHAN-MINEA, Anisoara",Women,ROU,Romania,W,Gold +Los Angeles,1984,Rowing,Rowing,quadruple sculls without coxswain (4x),"LOVRICH, Anthony",Men,AUS,Australia,M,Silver +Los Angeles,1984,Rowing,Rowing,four-oared shell with coxswain (4-),"KIEFER, Thomas Nisbit",Men,USA,United States,M,Silver +Los Angeles,1984,Rowing,Rowing,quadruple sculls without coxswain (4x),"HEDDERICH, Albert",Men,FRG,West Germany,M,Gold +Los Angeles,1984,Rowing,Rowing,quadruple sculls with coxswain (4x),"OANCIA, Ecaterina",Women,ROU,Romania,W,Gold +Los Angeles,1984,Rowing,Rowing,four-oared shell with coxswain (4-),"LAWTON, Kevin",Men,NZL,New Zealand,M,Bronze +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"CRAWFORD, Dean",Men,CAN,Canada,M,Gold +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"BEARD, Elizabeth Ann",Women,USA,United States,W,Gold +Los Angeles,1984,Rowing,Rowing,pair without coxswain (2-),"BECKER, Ellen",Women,FRG,West Germany,W,Bronze +Los Angeles,1984,Rowing,Rowing,four-oared shell with coxswain (4-),"GREY-GARDNER, Robyn",Women,AUS,Australia,W,Bronze +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"STEELE, Paul",Men,CAN,Canada,M,Gold +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"NEUFELD, Kevin",Men,CAN,Canada,M,Gold +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"LAURIJSEN, Martha",Women,NED,Netherlands,W,Bronze +Los Angeles,1984,Rowing,Rowing,double sculls (2x),"LEWIS, Bradley Alan",Men,USA,United States,M,Gold +Los Angeles,1984,Rowing,Rowing,pair-oared shell with coxswain (2+),"POPESCU, Dimitrie",Men,ROU,Romania,M,Silver +Los Angeles,1984,Rowing,Rowing,double sculls (2x),"ENQUIST, Paul N.",Men,USA,United States,M,Gold +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"TURNER, Patrick",Men,CAN,Canada,M,Gold +Los Angeles,1984,Rowing,Rowing,four-oared shell with coxswain (4-),"LAVRIC, Florica",Women,ROU,Romania,W,Gold +Los Angeles,1984,Rowing,Rowing,quadruple sculls without coxswain (4x),"DURSCH, Michael",Men,FRG,West Germany,M,Gold +Los Angeles,1984,Rowing,Rowing,four without coxswain (4-),"JESSEN, Michael",Men,DEN,Denmark,M,Bronze +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"THORSSNESS, Kristen Joy",Women,USA,United States,W,Gold +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"IOJA, Viorica",Women,ROU,Romania,W,Silver +Los Angeles,1984,Rowing,Rowing,coxless pair (2-),"TOMA, Valer",Men,ROU,Romania,M,Gold +Los Angeles,1984,Rowing,Rowing,quadruple sculls with coxswain (4x),"BADEA, Ioana",Women,ROU,Romania,W,Gold +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"VAANDRAGER, Willemientje",Women,NED,Netherlands,W,Bronze +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"PLESCA, Aurora",Women,ROU,Romania,W,Silver +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"ARMASESCU, Mihaela",Women,ROU,Romania,W,Silver +Los Angeles,1984,Rowing,Rowing,four-oared shell with coxswain (4-),"BRAIN, Marilyn",Women,CAN,Canada,W,Silver +Los Angeles,1984,Rowing,Rowing,double sculls (2x),"CROIS, Dirk",Men,BEL,Belgium,M,Silver +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"THREDGOLD, Gavin",Men,AUS,Australia,M,Bronze +Los Angeles,1984,Rowing,Rowing,four-oared shell with coxswain (4-),"IOJA, Viorica",Women,ROU,Romania,W,Gold +Los Angeles,1984,Rowing,Rowing,quadruple sculls without coxswain (4x),"HORMANN, Raimund",Men,FRG,West Germany,M,Gold +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"O'STEEN, Shyril",Women,USA,United States,W,Gold +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"KEELER, Kathryn Elliott",Women,USA,United States,W,Gold +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"BAZON, Adriana",Women,ROU,Romania,W,Silver +Los Angeles,1984,Rowing,Rowing,quadruple sculls with coxswain (4x),"GILDER, Virginia Marie",Women,USA,United States,W,Silver +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"SUDDUTH, Andrew Hancock",Men,USA,United States,M,Silver +Los Angeles,1984,Rowing,Rowing,four-oared shell with coxswain (4-),"STILLINGS, John Stuart",Men,USA,United States,M,Silver +Los Angeles,1984,Rowing,Rowing,four without coxswain (4-),"NIELSEN, Lars",Men,DEN,Denmark,M,Bronze +Los Angeles,1984,Rowing,Rowing,eight with coxswain (8+),"WILLOUGHBY, Timothy",Men,AUS,Australia,M,Bronze +Los Angeles,1984,Rowing,Rowing,pair-oared shell with coxswain (2+),"DI CAPUA, Giuseppe",Men,ITA,Italy,M,Gold +Los Angeles,1984,Rowing,Rowing,four-oared shell with coxswain (4-),"TREGUNNO, Jane",Women,CAN,Canada,W,Silver +Los Angeles,1984,Sailing,Sailing,fleet/match race keelboat open (Soling),"FOGH, Hans Marius",Men,CAN,Canada,X,Bronze +Los Angeles,1984,Sailing,Sailing,Tornado - Multihull,"SMYTH, Randy",Men,USA,United States,X,Silver +Los Angeles,1984,Sailing,Sailing,Tornado - Multihull,"ANDERSON, John Scott",Men,AUS,Australia,X,Bronze +Los Angeles,1984,Sailing,Sailing,flying dutchman,"MCKEE, Jonathan Dunn",Men,USA,United States,X,Gold +Los Angeles,1984,Sailing,Sailing,470 - Two Person Dinghy,"STEINFELD, Hans Christopher",Men,USA,United States,M,Silver +Los Angeles,1984,Sailing,Sailing,two-person keelboat open (Star),"ERICKSON, Steven Richard",Men,USA,United States,X,Gold +Los Angeles,1984,Sailing,Sailing,470 - Two Person Dinghy,"PILLOT, Luc",Men,FRA,France,M,Bronze +Los Angeles,1984,Sailing,Sailing,board (windglider),"VAN DEN BERG, Stephan",Men,NED,Netherlands,M,Gold +Los Angeles,1984,Sailing,Sailing,two-person keelboat open (Star),"PERABONI, Alfio",Men,ITA,Italy,X,Bronze +Los Angeles,1984,Sailing,Sailing,board (windglider),"KENDALL, Anthony Bruce",Men,NZL,New Zealand,M,Bronze +Los Angeles,1984,Sailing,Sailing,fleet/match race keelboat open (Soling),"ADLER, Daniel",Men,BRA,Brazil,X,Silver +Los Angeles,1984,Sailing,Sailing,fleet/match race keelboat open (Soling),"DAVIS, Roderick Hopkins",Men,USA,United States,X,Gold +Los Angeles,1984,Sailing,Sailing,single-handed dinghy (Finn),"NEILSON, Terence",Men,CAN,Canada,M,Bronze +Los Angeles,1984,Sailing,Sailing,Tornado - Multihull,"TIMMS, Christopher",Men,NZL,New Zealand,X,Gold +Los Angeles,1984,Sailing,Sailing,flying dutchman,"ALLAM, Peter Frank",Men,GBR,United Kingdom,X,Bronze +Los Angeles,1984,Sailing,Sailing,two-person keelboat open (Star),"GORLA, Giorgio",Men,ITA,Italy,X,Bronze +Los Angeles,1984,Sailing,Sailing,single-handed dinghy (Finn),"BERTRAND, John Joseph",Men,USA,United States,M,Silver +Los Angeles,1984,Sailing,Sailing,470 - Two Person Dinghy,"PEPONNET, Thierry",Men,FRA,France,M,Bronze +Los Angeles,1984,Sailing,Sailing,single-handed dinghy (Finn),"COUTTS, Russell",Men,NZL,New Zealand,M,Gold +Los Angeles,1984,Sailing,Sailing,fleet/match race keelboat open (Soling),"GRAEL, Torben",Men,BRA,Brazil,X,Silver +Los Angeles,1984,Sailing,Sailing,470 - Two Person Dinghy,"BENJAMIN, Stephen Delancey",Men,USA,United States,M,Silver +Los Angeles,1984,Sailing,Sailing,fleet/match race keelboat open (Soling),"CALDER, Stephen",Men,CAN,Canada,X,Bronze +Los Angeles,1984,Sailing,Sailing,two-person keelboat open (Star),"BUCHAN, William E. Sr.",Men,USA,United States,X,Gold +Los Angeles,1984,Sailing,Sailing,Tornado - Multihull,"CAIRNS, Christopher",Men,AUS,Australia,X,Bronze +Los Angeles,1984,Sailing,Sailing,fleet/match race keelboat open (Soling),"TREVELYAN, Edward",Men,USA,United States,X,Gold +Los Angeles,1984,Sailing,Sailing,two-person keelboat open (Star),"MARCOUR, Michael",Men,FRG,West Germany,X,Silver +Los Angeles,1984,Sailing,Sailing,flying dutchman,"BASTET, Evert",Men,CAN,Canada,X,Silver +Los Angeles,1984,Sailing,Sailing,two-person keelboat open (Star),"GRIESE, Joachim",Men,FRG,West Germany,X,Silver +Los Angeles,1984,Sailing,Sailing,Tornado - Multihull,"SELLERS, Rex Samuel",Men,NZL,New Zealand,X,Gold +Los Angeles,1984,Sailing,Sailing,flying dutchman,"BUCHAN, William Carl Jr.",Men,USA,United States,X,Gold +Los Angeles,1984,Sailing,Sailing,fleet/match race keelboat open (Soling),"HAINES, Robert Bentley Jr.",Men,USA,United States,X,Gold +Los Angeles,1984,Sailing,Sailing,fleet/match race keelboat open (Soling),"KERR, John",Men,CAN,Canada,X,Bronze +Los Angeles,1984,Sailing,Sailing,flying dutchman,"MCLAUGHLIN, Terence",Men,CAN,Canada,X,Silver +Los Angeles,1984,Sailing,Sailing,470 - Two Person Dinghy,"MOLINA CARRASCO, Roberto",Men,ESP,Spain,M,Gold +Los Angeles,1984,Sailing,Sailing,fleet/match race keelboat open (Soling),"SENFFT, Ronaldo",Men,BRA,Brazil,X,Silver +Los Angeles,1984,Sailing,Sailing,board (windglider),"STEELE, Randal Scott",Men,USA,United States,M,Silver +Los Angeles,1984,Sailing,Sailing,470 - Two Person Dinghy,"DORESTE, Luis",Men,ESP,Spain,M,Gold +Los Angeles,1984,Sailing,Sailing,flying dutchman,"RICHARDS, Jonathan",Men,GBR,United Kingdom,X,Bronze +Los Angeles,1984,Sailing,Sailing,Tornado - Multihull,"GLASER, Jay",Men,USA,United States,X,Silver +Los Angeles,1984,Shooting,Shooting,25m pistol (30+30 shots),"FOX, Ruby Ellen",Women,USA,United States,W,Silver +Los Angeles,1984,Shooting,Shooting,50m running target (30+30 shots),"BELLINGRODT, Helmut",Men,COL,Colombia,M,Silver +Los Angeles,1984,Shooting,Shooting,50m running target (30+30 shots),"LI, Yu-Wei",Men,CHN,China,M,Gold +Los Angeles,1984,Shooting,Shooting,trap (125 targets),"GIOVANNETTI, Luciano",Men,ITA,Italy,X,Gold +Los Angeles,1984,Shooting,Shooting,10m air rifle (60 shots),"HEBERLE, Philippe",Men,FRA,France,M,Gold +Los Angeles,1984,Shooting,Shooting,10m air rifle (60 shots),"KRONTHALER, Andreas",Men,AUT,Austria,M,Silver +Los Angeles,1984,Shooting,Shooting,50m running target (30+30 shots),"HUANG, Shi-Ping",Men,CHN,China,M,Bronze +Los Angeles,1984,Shooting,Shooting,50m rifle 3 positions (3x20 shots),"HOLMER, Ulrike",Women,FRG,West Germany,W,Silver +Los Angeles,1984,Shooting,Shooting,50m rifle prone (60 shots),"ETZEL, Edward",Men,USA,United States,M,Gold +Los Angeles,1984,Shooting,Shooting,skeet (125 targets),"RASMUSSEN, Ole Riber",Men,DEN,Denmark,X,Silver +Los Angeles,1984,Shooting,Shooting,25m pistol (30+30 shots),"DENCH, Patricia",Women,AUS,Australia,W,Bronze +Los Angeles,1984,Shooting,Shooting,skeet (125 targets),"SCRIBANI ROSSI, Luca",Men,ITA,Italy,X,Bronze +Los Angeles,1984,Shooting,Shooting,50m rifle 3 positions (3x20 shots),"JEWELL, Wanda Rae",Women,USA,United States,W,Bronze +Los Angeles,1984,Shooting,Shooting,25m rapid fire pistol (60 shots),"BIES, Rauno",Men,FIN,Finland,M,Bronze +Los Angeles,1984,Shooting,Shooting,trap (125 targets),"BOZA, Francisco",Men,PER,Peru,X,Silver +Los Angeles,1984,Shooting,Shooting,10m air rifle (40 shots),"GUFLER, Edith",Women,ITA,Italy,W,Silver +Los Angeles,1984,Shooting,Shooting,25m rapid fire pistol (60 shots),"ION, Corneliu",Men,ROU,Romania,M,Silver +Los Angeles,1984,Shooting,Shooting,10m air rifle (60 shots),"DAGGER, Barry Edward",Men,GBR,United Kingdom,M,Bronze +Los Angeles,1984,Shooting,Shooting,trap (125 targets),"CARLISLE, Daniel Thomas",Men,USA,United States,X,Bronze +Los Angeles,1984,Shooting,Shooting,25m rapid fire pistol (60 shots),"KAMACHI, Takeo",Men,JPN,Japan,M,Gold +Los Angeles,1984,Shooting,Shooting,50m rifle prone (60 shots),"BURY, Michel",Men,FRA,France,M,Silver +Los Angeles,1984,Shooting,Shooting,50m pistol (60 shots),"XU, Haifeng",Men,CHN,China,M,Gold +Los Angeles,1984,Shooting,Shooting,50m rifle 3 positions (3x40 shots),"COOPER, Malcolm Douglas",Men,GBR,United Kingdom,M,Gold +Los Angeles,1984,Shooting,Shooting,25m pistol (30+30 shots),"THOM, Linda",Women,CAN,Canada,W,Gold +Los Angeles,1984,Shooting,Shooting,50m rifle 3 positions (3x40 shots),"NIPKOV, Daniel",Men,SUI,Switzerland,M,Silver +Los Angeles,1984,Shooting,Shooting,10m air rifle (40 shots),"WU, Xiao-Xuan",Women,CHN,China,W,Bronze +Los Angeles,1984,Shooting,Shooting,50m pistol (60 shots),"WANG, Yifu",Men,CHN,China,M,Bronze +Los Angeles,1984,Shooting,Shooting,50m pistol (60 shots),"SKANÄKER, Ragnar",Men,SWE,Sweden,M,Silver +Los Angeles,1984,Shooting,Shooting,50m rifle 3 positions (3x20 shots),"WU, Xiao-Xuan",Women,CHN,China,W,Gold +Los Angeles,1984,Shooting,Shooting,50m rifle prone (60 shots),"SULLIVAN, Michael",Men,GBR,United Kingdom,M,Bronze +Los Angeles,1984,Shooting,Shooting,skeet (125 targets),"DRYKE, Matthew Alexander",Men,USA,United States,X,Gold +Los Angeles,1984,Shooting,Shooting,50m rifle 3 positions (3x40 shots),"ALLAN, Alister Millar",Men,GBR,United Kingdom,M,Bronze +Los Angeles,1984,Shooting,Shooting,10m air rifle (40 shots),"SPURGIN, Karen Patricia",Women,USA,United States,W,Gold +Los Angeles,1984,Volleyball,Volleyball,volleyball,"HOU, Yu-Zhu",Women,CHN,China,W,Gold +Los Angeles,1984,Volleyball,Volleyball,volleyball,"CHISHOLM, Linda Rae",Women,USA,United States,W,Silver +Los Angeles,1984,Volleyball,Volleyball,volleyball,"LIANG, Yan",Women,CHN,China,W,Gold +Los Angeles,1984,Volleyball,Volleyball,volleyball,"ZHOU, Xiao-Lan",Women,CHN,China,W,Gold +Los Angeles,1984,Volleyball,Volleyball,volleyball,"BEAUPREY, Jeanne Marie",Women,USA,United States,W,Silver +Los Angeles,1984,Volleyball,Volleyball,volleyball,"WOODSTRA, Susan Jean",Women,USA,United States,W,Silver +Los Angeles,1984,Volleyball,Volleyball,volleyball,"LANG, Ping",Women,CHN,China,W,Gold +Los Angeles,1984,Volleyball,Volleyball,volleyball,"DE LUIGI, Guido",Men,ITA,Italy,M,Bronze +Los Angeles,1984,Volleyball,Volleyball,volleyball,"CROCKETT, Rita Louise",Women,USA,United States,W,Silver +Los Angeles,1984,Volleyball,Volleyball,volleyball,"REBAUDENGO, Piero",Men,ITA,Italy,M,Bronze +Los Angeles,1984,Volleyball,Volleyball,volleyball,"ODAKA, Emiko",Women,JPN,Japan,W,Bronze +Los Angeles,1984,Volleyball,Volleyball,volleyball,"EGAMI, Yumi",Women,JPN,Japan,W,Bronze +Los Angeles,1984,Volleyball,Volleyball,volleyball,"TIMMONS, Steve Dennis",Men,USA,United States,M,Gold +Los Angeles,1984,Volleyball,Volleyball,volleyball,"ZHANG, Rong-Fang",Women,CHN,China,W,Gold +Los Angeles,1984,Volleyball,Volleyball,volleyball,"LAMPARIELLO NETO, Domingo",Men,BRA,Brazil,M,Silver +Los Angeles,1984,Volleyball,Volleyball,volleyball,"BUCK, Craig Werner",Men,USA,United States,M,Gold +Los Angeles,1984,Volleyball,Volleyball,volleyball,"VECCHI, Paolo",Men,ITA,Italy,M,Bronze +Los Angeles,1984,Volleyball,Volleyball,volleyball,"ISHIDA, Kyoko",Women,JPN,Japan,W,Bronze +Los Angeles,1984,Volleyball,Volleyball,volleyball,"DAMETTO, Giancarlo",Men,ITA,Italy,M,Bronze +Los Angeles,1984,Volleyball,Volleyball,volleyball,"ZHENG, Mei-Zhu",Women,CHN,China,W,Gold +Los Angeles,1984,Volleyball,Volleyball,volleyball,"SUGIYAMA, Kayoko",Women,JPN,Japan,W,Bronze +Los Angeles,1984,Volleyball,Volleyball,volleyball,"GREEN, Deborah",Women,USA,United States,W,Silver +Los Angeles,1984,Volleyball,Volleyball,volleyball,"SU, Huijuan",Women,CHN,China,W,Gold +Los Angeles,1984,Volleyball,Volleyball,volleyball,"MITSUYA, Yuko",Women,JPN,Japan,W,Bronze +Los Angeles,1984,Volleyball,Volleyball,volleyball,"RIBEIRO, Amauri",Men,BRA,Brazil,M,Silver +Los Angeles,1984,Volleyball,Volleyball,volleyball,"RUDDINS, Kimberly Grace",Women,USA,United States,W,Silver +Los Angeles,1984,Volleyball,Volleyball,volleyball,"MARLOWE, Christian",Men,USA,United States,M,Gold +Los Angeles,1984,Volleyball,Volleyball,volleyball,"DUWELIUS, Richard Lloyd",Men,USA,United States,M,Gold +Los Angeles,1984,Volleyball,Volleyball,volleyball,"LANFRANCO, Giovanni",Men,ITA,Italy,M,Bronze +Los Angeles,1984,Volleyball,Volleyball,volleyball,"FREIRE, Marcus",Men,BRA,Brazil,M,Silver +Los Angeles,1984,Volleyball,Volleyball,volleyball,"YANG, Xiao-Jun",Women,CHN,China,W,Gold +Los Angeles,1984,Volleyball,Volleyball,volleyball,"SAUNDERS, David Patrick",Men,USA,United States,M,Gold +Los Angeles,1984,Volleyball,Volleyball,volleyball,"WALDIE, Mark",Men,USA,United States,M,Gold +Los Angeles,1984,Volleyball,Volleyball,volleyball,"KAGABU, Yoko",Women,JPN,Japan,W,Bronze +Los Angeles,1984,Volleyball,Volleyball,volleyball,"RIBEIRO, Antonio",Men,BRA,Brazil,M,Silver +Los Angeles,1984,Volleyball,Volleyball,volleyball,"WEISHOFF, Paula Jo",Women,USA,United States,W,Silver +Los Angeles,1984,Volleyball,Volleyball,volleyball,"JIANG, Ying",Women,CHN,China,W,Gold +Los Angeles,1984,Volleyball,Volleyball,volleyball,"NEGRI, Marco",Men,ITA,Italy,M,Bronze +Los Angeles,1984,Volleyball,Volleyball,volleyball,"ZHU, Ling",Women,CHN,China,W,Gold +Los Angeles,1984,Volleyball,Volleyball,volleyball,"DE AVILA, Fernando",Men,BRA,Brazil,M,Silver +Los Angeles,1984,Volleyball,Volleyball,volleyball,"BERZINS, Aldis Imants",Men,USA,United States,M,Gold +Los Angeles,1984,Volleyball,Volleyball,volleyball,"YANG, Xi-Lan",Women,CHN,China,W,Gold +Los Angeles,1984,Volleyball,Volleyball,volleyball,"LI, Yan-Jun",Women,CHN,China,W,Gold +Los Angeles,1984,Volleyball,Volleyball,volleyball,"CARVALHO DA SILVA, William Carvalho",Men,BRA,Brazil,M,Silver +Los Angeles,1984,Volleyball,Volleyball,volleyball,"CAMPOS NASCIMENTO, Rui",Men,BRA,Brazil,M,Silver +Los Angeles,1984,Volleyball,Volleyball,volleyball,"OTANI, Sachiko",Women,JPN,Japan,W,Bronze +Los Angeles,1984,Volleyball,Volleyball,volleyball,"HIRO, Norie",Women,JPN,Japan,W,Bronze +Los Angeles,1984,Volleyball,Volleyball,volleyball,"OLIVEIRA NEGO, Mario Xando",Men,BRA,Brazil,M,Silver +Los Angeles,1984,Volleyball,Volleyball,volleyball,"ERRICHIELLO, Giovanni",Men,ITA,Italy,M,Bronze +Los Angeles,1984,Volleyball,Volleyball,volleyball,"SALMONS, Steven Edward",Men,USA,United States,M,Gold +Los Angeles,1984,Volleyball,Volleyball,volleyball,"MAGERS, Rose Mary",Women,USA,United States,W,Silver +Los Angeles,1984,Volleyball,Volleyball,volleyball,"BECKER, Carolyn Marie",Women,USA,United States,W,Silver +Los Angeles,1984,Volleyball,Volleyball,volleyball,"RAJZMAN, Bernard",Men,BRA,Brazil,M,Silver +Los Angeles,1984,Volleyball,Volleyball,volleyball,"VULLO, Fabio",Men,ITA,Italy,M,Bronze +Los Angeles,1984,Volleyball,Volleyball,volleyball,"POWERS, Patrick Robert",Men,USA,United States,M,Gold +Los Angeles,1984,Volleyball,Volleyball,volleyball,"DVORAK, Douglas Scott",Men,USA,United States,M,Gold +Los Angeles,1984,Volleyball,Volleyball,volleyball,"DAL ZOTTO, Renan",Men,BRA,Brazil,M,Silver +Los Angeles,1984,Volleyball,Volleyball,volleyball,"VOLLERTSEN, Julie J.",Women,USA,United States,W,Silver +Los Angeles,1984,Volleyball,Volleyball,volleyball,"FLACHMEIER, Laura Jean",Women,USA,United States,W,Silver +Los Angeles,1984,Volleyball,Volleyball,volleyball,"BERTOLI, Franco",Men,ITA,Italy,M,Bronze +Los Angeles,1984,Volleyball,Volleyball,volleyball,"HIROSE, Miyoko",Women,JPN,Japan,W,Bronze +Los Angeles,1984,Volleyball,Volleyball,volleyball,"SUNDERLAND, Paul Benedict",Men,USA,United States,M,Gold +Los Angeles,1984,Volleyball,Volleyball,volleyball,"NAKADA, Kumi",Women,JPN,Japan,W,Bronze +Los Angeles,1984,Volleyball,Volleyball,volleyball,"MONTANARO, Jose",Men,BRA,Brazil,M,Silver +Los Angeles,1984,Volleyball,Volleyball,volleyball,"LUCCHETTA, Pier Paolo",Men,ITA,Italy,M,Bronze +Los Angeles,1984,Volleyball,Volleyball,volleyball,"LUCCHETTA, Andrea",Men,ITA,Italy,M,Bronze +Los Angeles,1984,Volleyball,Volleyball,volleyball,"MIYAJIMA, Keiko",Women,JPN,Japan,W,Bronze +Los Angeles,1984,Volleyball,Volleyball,volleyball,"ROCHA REZENDE, Bernardo Rocha",Men,BRA,Brazil,M,Silver +Los Angeles,1984,Volleyball,Volleyball,volleyball,"DALL'OLIO, Grancesco",Men,ITA,Italy,M,Bronze +Los Angeles,1984,Volleyball,Volleyball,volleyball,"MORITA, Kimie",Women,JPN,Japan,W,Bronze +Los Angeles,1984,Volleyball,Volleyball,volleyball,"HYMAN, Flora Jean",Women,USA,United States,W,Silver +Los Angeles,1984,Volleyball,Volleyball,volleyball,"KIRALY, Charles",Men,USA,United States,M,Gold +Los Angeles,1984,Weightlifting,Weightlifting,"90 - 100kg, total (first-heavyweight)","MILSER, Rolf",Men,FRG,West Germany,M,Gold +Los Angeles,1984,Weightlifting,Weightlifting,"100 - 110kg, total (heavyweight)","CARLTON, Guy Albert",Men,USA,United States,M,Bronze +Los Angeles,1984,Weightlifting,Weightlifting,"82.5 - 90kg, total (middle-heavyweight)","MERCER, David",Men,GBR,United Kingdom,M,Bronze +Los Angeles,1984,Weightlifting,Weightlifting,"60 - 67.5kg, total (lightweight)","SOCACI, Andrei",Men,ROU,Romania,M,Silver +Los Angeles,1984,Weightlifting,Weightlifting,"67.5 - 75kg, total (middleweight)","CIOROSLAN, Dragomir",Men,ROU,Romania,M,Bronze +Los Angeles,1984,Weightlifting,Weightlifting,"90 - 100kg, total (first-heavyweight)","GROAPA, Vasile",Men,ROU,Romania,M,Silver +Los Angeles,1984,Weightlifting,Weightlifting,"67.5 - 75kg, total (middleweight)","DEMERS, Jacques",Men,CAN,Canada,M,Silver +Los Angeles,1984,Weightlifting,Weightlifting,"75 - 82.5kg, total (light-heavyweight)","ISAOKA, Ryoji",Men,JPN,Japan,M,Bronze +Los Angeles,1984,Weightlifting,Weightlifting,"56 - 60kg, total (featherweight)","CHEN, Wei-Qiang",Men,CHN,China,M,Gold +Los Angeles,1984,Weightlifting,Weightlifting,"82.5 - 90kg, total (middle-heavyweight)","PETRE, Dumitru",Men,ROU,Romania,M,Silver +Los Angeles,1984,Weightlifting,Weightlifting,"- 56kg, total (bantamweight)","WU, Shu-De",Men,CHN,China,M,Gold +Los Angeles,1984,Weightlifting,Weightlifting,"100 - 110kg, total (heavyweight)","TASNADI, Stefan",Men,ROU,Romania,M,Silver +Los Angeles,1984,Weightlifting,Weightlifting,"- 56kg, total (bantamweight)","KOTAKA, Masahiro",Men,JPN,Japan,M,Bronze +Los Angeles,1984,Weightlifting,Weightlifting,"- 52kg, total (flyweight)","ZHOU, Pei-Shun",Men,CHN,China,M,Silver +Los Angeles,1984,Weightlifting,Weightlifting,"75 - 82.5kg, total (light-heavyweight)","BECHERU, Petre",Men,ROU,Romania,M,Gold +Los Angeles,1984,Weightlifting,Weightlifting,"+ 110kg, total (super heavyweight)","NERLINGER, Manfred",Men,FRG,West Germany,M,Bronze +Los Angeles,1984,Weightlifting,Weightlifting,"56 - 60kg, total (featherweight)","RADU, Gelu",Men,ROU,Romania,M,Silver +Los Angeles,1984,Weightlifting,Weightlifting,"60 - 67.5kg, total (lightweight)","GRONMAN, Jouni Johannes",Men,FIN,Finland,M,Bronze +Los Angeles,1984,Weightlifting,Weightlifting,"56 - 60kg, total (featherweight)","TSAI, Wen-Yee",Men,TPE,Taiwan,M,Bronze +Los Angeles,1984,Weightlifting,Weightlifting,"82.5 - 90kg, total (middle-heavyweight)","VLAD, Nicu",Men,ROU,Romania,M,Gold +Los Angeles,1984,Weightlifting,Weightlifting,"+ 110kg, total (super heavyweight)","MARTINEZ, Mario",Men,USA,United States,M,Silver +Los Angeles,1984,Weightlifting,Weightlifting,"100 - 110kg, total (heavyweight)","OBERBURGER, Norberto",Men,ITA,Italy,M,Gold +Los Angeles,1984,Weightlifting,Weightlifting,"- 52kg, total (flyweight)","MANABE, Kazushito",Men,JPN,Japan,M,Bronze +Los Angeles,1984,Weightlifting,Weightlifting,"67.5 - 75kg, total (middleweight)","RADSCHINSKY, Karl-Heinz",Men,FRG,West Germany,M,Gold +Los Angeles,1984,Weightlifting,Weightlifting,"90 - 100kg, total (first-heavyweight)","NIEMI, Pekka",Men,FIN,Finland,M,Bronze +Los Angeles,1984,Weightlifting,Weightlifting,"- 52kg, total (flyweight)","ZENG, Guo-Qiang",Men,CHN,China,M,Gold +Los Angeles,1984,Weightlifting,Weightlifting,"- 56kg, total (bantamweight)","LAI, Run-Ming",Men,CHN,China,M,Silver +Los Angeles,1984,Weightlifting,Weightlifting,"60 - 67.5kg, total (lightweight)","YAO, Jing-Yuan",Men,CHN,China,M,Gold +Los Angeles,1984,Weightlifting,Weightlifting,"+ 110kg, total (super heavyweight)","LUKIN, Dinko",Men,AUS,Australia,M,Gold +Los Angeles,1984,Weightlifting,Weightlifting,"75 - 82.5kg, total (light-heavyweight)","KABBAS, Robert",Men,AUS,Australia,M,Silver +Los Angeles,1984,Wrestling,Wrestling Free.,90 - 100kg (heavyweight),"ATIYEH, Josep",Men,SYR,Syria,M,Silver +Los Angeles,1984,Wrestling,Wrestling Free.,57 - 62kg (featherweight),"LEE, Jung-Keun",Men,KOR,"Korea, South",M,Bronze +Los Angeles,1984,Wrestling,Wrestling Free.,82 - 90kg (light-heavyweight),"BANACH, Edward Joseph",Men,USA,United States,M,Gold +Los Angeles,1984,Wrestling,Wrestling Free.,68 - 74kg (welterweight),"SEJDI, Saban",Men,YUG,Yugoslavia,M,Bronze +Los Angeles,1984,Wrestling,Wrestling Free.,48 - 52kg (flyweight),"TAKADA, Yuji",Men,JPN,Japan,M,Bronze +Los Angeles,1984,Wrestling,Wrestling Free.,- 48kg (light-flyweight),"WEAVER, Robert Brooks",Men,USA,United States,M,Gold +Los Angeles,1984,Wrestling,Wrestling Free.,82 - 90kg (light-heavyweight),"OTA, Akira",Men,JPN,Japan,M,Silver +Los Angeles,1984,Wrestling,Wrestling Free.,62 - 68kg (lightweight),"RAUHALA, Jukka",Men,FIN,Finland,M,Bronze +Los Angeles,1984,Wrestling,Wrestling Free.,57 - 62kg (featherweight),"AKAISHI, Kosei",Men,JPN,Japan,M,Silver +Los Angeles,1984,Wrestling,Wrestling Free.,+ 100kg (super heavyweight),"BAUMGARTNER, Bruce Robert",Men,USA,United States,M,Gold +Los Angeles,1984,Wrestling,Wrestling Free.,52 - 57kg (bantamweight),"TOMIYAMA, Hideaki",Men,JPN,Japan,M,Gold +Los Angeles,1984,Wrestling,Wrestling Free.,52 - 57kg (bantamweight),"KIM, Eui-Kon",Men,KOR,"Korea, South",M,Bronze +Los Angeles,1984,Wrestling,Wrestling Free.,62 - 68kg (lightweight),"YOU, In-Tak",Men,KOR,"Korea, South",M,Gold +Los Angeles,1984,Wrestling,Wrestling Free.,68 - 74kg (welterweight),"SCHULTZ, David Leslie",Men,USA,United States,M,Gold +Los Angeles,1984,Wrestling,Wrestling Free.,+ 100kg (super heavyweight),"MOLLE, Robert",Men,CAN,Canada,M,Silver +Los Angeles,1984,Wrestling,Wrestling Free.,74 - 82kg (middleweight),"NAGASHIMA, Hideyuki",Men,JPN,Japan,M,Silver +Los Angeles,1984,Wrestling,Wrestling Free.,48 - 52kg (flyweight),"KIM, Jong-Kyu",Men,KOR,"Korea, South",M,Silver +Los Angeles,1984,Wrestling,Wrestling Free.,57 - 62kg (featherweight),"LEWIS, Randall Scott",Men,USA,United States,M,Gold +Los Angeles,1984,Wrestling,Wrestling Free.,- 48kg (light-flyweight),"SON, Gab-Do",Men,KOR,"Korea, South",M,Bronze +Los Angeles,1984,Wrestling,Wrestling Free.,82 - 90kg (light-heavyweight),"LOBAN, Noel",Men,GBR,United Kingdom,M,Bronze +Los Angeles,1984,Wrestling,Wrestling Free.,62 - 68kg (lightweight),"REIN, Andrew Roland",Men,USA,United States,M,Silver +Los Angeles,1984,Wrestling,Wrestling Free.,74 - 82kg (middleweight),"RINKE, Christopher",Men,CAN,Canada,M,Bronze +Los Angeles,1984,Wrestling,Wrestling Free.,90 - 100kg (heavyweight),"PUSCASU, Vasile",Men,ROU,Romania,M,Bronze +Los Angeles,1984,Wrestling,Wrestling Free.,48 - 52kg (flyweight),"TRSTENA, Saban",Men,YUG,Yugoslavia,M,Gold +Los Angeles,1984,Wrestling,Wrestling Free.,74 - 82kg (middleweight),"SCHULTZ, Mark Philip",Men,USA,United States,M,Gold +Los Angeles,1984,Wrestling,Wrestling Free.,- 48kg (light-flyweight),"IRIE, Takashi",Men,JPN,Japan,M,Silver +Los Angeles,1984,Wrestling,Wrestling Free.,68 - 74kg (welterweight),"KNOSP, Martin",Men,FRG,West Germany,M,Silver +Los Angeles,1984,Wrestling,Wrestling Free.,90 - 100kg (heavyweight),"BANACH, Louis David",Men,USA,United States,M,Gold +Los Angeles,1984,Wrestling,Wrestling Free.,52 - 57kg (bantamweight),"DAVIS, Barry Alan",Men,USA,United States,M,Silver +Los Angeles,1984,Wrestling,Wrestling Free.,+ 100kg (super heavyweight),"TASKIN, Ayhan",Men,TUR,Turkey,M,Bronze +Los Angeles,1984,Wrestling,Wrestling Gre-R,90 - 100kg (heavyweight),"GIBSON, Gregory P.",Men,USA,United States,M,Silver +Los Angeles,1984,Wrestling,Wrestling Gre-R,+ 100kg (super heavyweight),"MEMISEVIC, Refik",Men,YUG,Yugoslavia,M,Silver +Los Angeles,1984,Wrestling,Wrestling Gre-R,74 - 82kg (middleweight),"THANOPOULOS, Demetrios",Men,GRE,Greece,M,Silver +Los Angeles,1984,Wrestling,Wrestling Gre-R,74 - 82kg (middleweight),"DRAICA, Ion",Men,ROU,Romania,M,Gold +Los Angeles,1984,Wrestling,Wrestling Gre-R,52 - 57kg (bantamweight),"ETO, Masaki",Men,JPN,Japan,M,Silver +Los Angeles,1984,Wrestling,Wrestling Gre-R,62 - 68kg (lightweight),"SIPILA, Tapio",Men,FIN,Finland,M,Silver +Los Angeles,1984,Wrestling,Wrestling Gre-R,90 - 100kg (heavyweight),"TERTELIJE, Jozef",Men,YUG,Yugoslavia,M,Bronze +Los Angeles,1984,Wrestling,Wrestling Gre-R,- 48kg (light-flyweight),"MAENZA, Vincenzo",Men,ITA,Italy,M,Gold +Los Angeles,1984,Wrestling,Wrestling Gre-R,- 48kg (light-flyweight),"SAITO, Ikuzo",Men,JPN,Japan,M,Bronze +Los Angeles,1984,Wrestling,Wrestling Gre-R,- 48kg (light-flyweight),"SCHERER, Markus",Men,FRG,West Germany,M,Silver +Los Angeles,1984,Wrestling,Wrestling Gre-R,68 - 74kg (welterweight),"TALLROTH, Roger",Men,SWE,Sweden,M,Silver +Los Angeles,1984,Wrestling,Wrestling Gre-R,48 - 52kg (flyweight),"ACEVES, Daniel",Men,MEX,Mexico,M,Silver +Los Angeles,1984,Wrestling,Wrestling Gre-R,68 - 74kg (welterweight),"SALOMAKI, Jouko",Men,FIN,Finland,M,Gold +Los Angeles,1984,Wrestling,Wrestling Gre-R,62 - 68kg (lightweight),"LISJAK, Vlado",Men,YUG,Yugoslavia,M,Gold +Los Angeles,1984,Wrestling,Wrestling Gre-R,82 - 90kg (light-heavyweight),"ANDERSSON, Frank",Men,SWE,Sweden,M,Bronze +Los Angeles,1984,Wrestling,Wrestling Gre-R,68 - 74kg (welterweight),"RUSU, Stefan",Men,ROU,Romania,M,Bronze +Los Angeles,1984,Wrestling,Wrestling Gre-R,82 - 90kg (light-heavyweight),"MATEI, Ilie",Men,ROU,Romania,M,Silver +Los Angeles,1984,Wrestling,Wrestling Gre-R,48 - 52kg (flyweight),"MIYAHARA, Atsuji",Men,JPN,Japan,M,Gold +Los Angeles,1984,Wrestling,Wrestling Gre-R,90 - 100kg (heavyweight),"ANDREI, Vasile",Men,ROU,Romania,M,Gold +Los Angeles,1984,Wrestling,Wrestling Gre-R,74 - 82kg (middleweight),"CLAESON, Soren",Men,SWE,Sweden,M,Bronze +Los Angeles,1984,Wrestling,Wrestling Gre-R,57 - 62kg (featherweight),"DIETSCHE, Hugo",Men,SUI,Switzerland,M,Bronze +Los Angeles,1984,Wrestling,Wrestling Gre-R,62 - 68kg (lightweight),"MARTINEZ, James Michael",Men,USA,United States,M,Bronze +Los Angeles,1984,Wrestling,Wrestling Gre-R,52 - 57kg (bantamweight),"HOLIDIS, Charalambos",Men,GRE,Greece,M,Bronze +Los Angeles,1984,Wrestling,Wrestling Gre-R,48 - 52kg (flyweight),"BANG, Dae-Du",Men,KOR,"Korea, South",M,Bronze +Los Angeles,1984,Wrestling,Wrestling Gre-R,+ 100kg (super heavyweight),"DOLIPSCHI, Victor",Men,ROU,Romania,M,Bronze +Los Angeles,1984,Wrestling,Wrestling Gre-R,57 - 62kg (featherweight),"KIM, Weon-Kee",Men,KOR,"Korea, South",M,Gold +Los Angeles,1984,Wrestling,Wrestling Gre-R,82 - 90kg (light-heavyweight),"FRASER, Steven Howard",Men,USA,United States,M,Gold +Los Angeles,1984,Wrestling,Wrestling Gre-R,52 - 57kg (bantamweight),"PASSARELLI, Pasquale",Men,FRG,West Germany,M,Gold +Los Angeles,1984,Wrestling,Wrestling Gre-R,57 - 62kg (featherweight),"JOHANSSON, Kent-Olle",Men,SWE,Sweden,M,Silver +Los Angeles,1984,Wrestling,Wrestling Gre-R,+ 100kg (super heavyweight),"BLATNICK, Jeffrey Carl",Men,USA,United States,M,Gold +Seoul,1988,Aquatics,Diving,3m springboard,"TAN, Liang-De",Men,CHN,China,M,Silver +Seoul,1988,Aquatics,Diving,3m springboard,"GAO, Min",Women,CHN,China,W,Gold +Seoul,1988,Aquatics,Diving,10m platform,"MENA CAMPOS, Jesus",Men,MEX,Mexico,M,Bronze +Seoul,1988,Aquatics,Diving,3m springboard,"LI, De-Liang",Men,CHN,China,M,Bronze +Seoul,1988,Aquatics,Diving,3m springboard,"MCCORMICK, Kelly Anne",Women,USA,United States,W,Bronze +Seoul,1988,Aquatics,Diving,10m platform,"XU, Yan-Mei",Women,CHN,China,W,Gold +Seoul,1988,Aquatics,Diving,3m springboard,"LI, Qing",Women,CHN,China,W,Silver +Seoul,1988,Aquatics,Diving,3m springboard,"LOUGANIS, Gregory",Men,USA,United States,M,Gold +Seoul,1988,Aquatics,Diving,10m platform,"XIONG, Ni",Men,CHN,China,M,Silver +Seoul,1988,Aquatics,Diving,10m platform,"MITCHELL, Michele",Women,USA,United States,W,Silver +Seoul,1988,Aquatics,Diving,10m platform,"WYLAND-WILLIAMS, Wendy Lian",Women,USA,United States,W,Bronze +Seoul,1988,Aquatics,Diving,10m platform,"LOUGANIS, Gregory",Men,USA,United States,M,Gold +Seoul,1988,Aquatics,Swimming,200m backstroke,"EGERSZEGI, Krisztina",Women,HUN,Hungary,W,Gold +Seoul,1988,Aquatics,Swimming,1500m freestyle,"DASSLER, Uwe",Men,GDR,East Germany,M,Bronze +Seoul,1988,Aquatics,Swimming,200m individual medley,"LUNG, Noemi Ildiko",Women,ROU,Romania,W,Bronze +Seoul,1988,Aquatics,Swimming,4x100m medley relay,"HIGSON, Allison Ann",Women,CAN,Canada,W,Bronze +Seoul,1988,Aquatics,Swimming,1500m freestyle,"SALNIKOV, Vladimir",Men,URS,Soviet Union,M,Gold +Seoul,1988,Aquatics,Swimming,800m freestyle,"EVANS, Janet",Women,USA,United States,W,Gold +Seoul,1988,Aquatics,Swimming,100m butterfly,"QIAN, Hong",Women,CHN,China,W,Bronze +Seoul,1988,Aquatics,Swimming,200m freestyle,"ARMSTRONG, Duncan John",Men,AUS,Australia,M,Gold +Seoul,1988,Aquatics,Swimming,400m individual medley,"LUNG, Noemi Ildiko",Women,ROU,Romania,W,Silver +Seoul,1988,Aquatics,Swimming,4x100m medley relay,"MEISSNER, Katrin",Women,GDR,East Germany,W,Gold +Seoul,1988,Aquatics,Swimming,4x100m medley relay,"JACOBS, Christopher Charles",Men,USA,United States,M,Gold +Seoul,1988,Aquatics,Swimming,4x100m medley relay,"BERKOFF, David Charles",Men,USA,United States,M,Gold +Seoul,1988,Aquatics,Swimming,200m breaststroke,"FRENKEVA, Antoaneta",Women,BUL,Bulgaria,W,Bronze +Seoul,1988,Aquatics,Swimming,400m freestyle,"DASSLER, Uwe",Men,GDR,East Germany,M,Gold +Seoul,1988,Aquatics,Swimming,200m breaststroke,"HUANG, Xiao-Min",Women,CHN,China,W,Silver +Seoul,1988,Aquatics,Swimming,800m freestyle,"MCDONALD, Julie",Women,AUS,Australia,W,Bronze +Seoul,1988,Aquatics,Swimming,4x100m freestyle relay,"KREMER, Mitzi Patricia",Women,USA,United States,W,Bronze +Seoul,1988,Aquatics,Swimming,4x100m freestyle relay,"FLEMMING, Thomas",Men,GDR,East Germany,M,Bronze +Seoul,1988,Aquatics,Swimming,4x100m freestyle relay,"DALBEY, Troy",Men,USA,United States,M,Gold +Seoul,1988,Aquatics,Swimming,200m butterfly,"WEIGANG, Birte",Women,GDR,East Germany,W,Silver +Seoul,1988,Aquatics,Swimming,4x100m medley relay,"MCFARLANE, Tracey",Women,USA,United States,W,Silver +Seoul,1988,Aquatics,Swimming,100m breaststroke,"MOORHOUSE, Adrian David",Men,GBR,United Kingdom,M,Gold +Seoul,1988,Aquatics,Swimming,4x200m freestyle relay,"GJERTSEN, Douglas S.",Men,USA,United States,M,Gold +Seoul,1988,Aquatics,Swimming,100m butterfly,"WEIGANG, Birte",Women,GDR,East Germany,W,Silver +Seoul,1988,Aquatics,Swimming,4x100m freestyle relay,"TORRES, Dara",Women,USA,United States,W,Bronze +Seoul,1988,Aquatics,Swimming,4x200m freestyle relay,"FLEMMING, Thomas",Men,GDR,East Germany,M,Silver +Seoul,1988,Aquatics,Swimming,4x100m medley relay,"YAROSHCHUK, Vadim",Men,URS,Soviet Union,M,Bronze +Seoul,1988,Aquatics,Swimming,4x200m freestyle relay,"DALBEY, Troy",Men,USA,United States,M,Gold +Seoul,1988,Aquatics,Swimming,100m backstroke,"SIRCH, Cornelia",Women,GDR,East Germany,W,Bronze +Seoul,1988,Aquatics,Swimming,4x100m medley relay,"MITCHELL, Elizabeth",Women,USA,United States,W,Silver +Seoul,1988,Aquatics,Swimming,50m freestyle,"MEISSNER, Katrin",Women,GDR,East Germany,W,Bronze +Seoul,1988,Aquatics,Swimming,4x200m freestyle relay,"CETLINSKI, Matthew J.",Men,USA,United States,M,Gold +Seoul,1988,Aquatics,Swimming,400m individual medley,"WHARTON, David Lee",Men,USA,United States,M,Silver +Seoul,1988,Aquatics,Swimming,50m freestyle,"OTTO, Kristin",Women,GDR,East Germany,W,Gold +Seoul,1988,Aquatics,Swimming,100m backstroke,"BERKOFF, David Charles",Men,USA,United States,M,Silver +Seoul,1988,Aquatics,Swimming,100m backstroke,"POLYANSKI, Igor",Men,URS,Soviet Union,M,Bronze +Seoul,1988,Aquatics,Swimming,4x100m medley relay,"JORGENSEN, Janet Simone",Women,USA,United States,W,Silver +Seoul,1988,Aquatics,Swimming,100m freestyle,"OTTO, Kristin",Women,GDR,East Germany,W,Gold +Seoul,1988,Aquatics,Swimming,100m breaststroke,"GUTTLER, Karoly",Men,HUN,Hungary,M,Silver +Seoul,1988,Aquatics,Swimming,4x100m medley relay,"MEAGHER, Mary T.",Women,USA,United States,W,Silver +Seoul,1988,Aquatics,Swimming,4x100m medley relay,"TEWKSBURY, Mark",Men,CAN,Canada,M,Silver +Seoul,1988,Aquatics,Swimming,4x200m freestyle relay,"HENKEL, Rainer",Men,FRG,West Germany,M,Bronze +Seoul,1988,Aquatics,Swimming,100m breaststroke,"FRENKEVA, Antoaneta",Women,BUL,Bulgaria,W,Silver +Seoul,1988,Aquatics,Swimming,100m backstroke,"SUZUKI, Daichi",Men,JPN,Japan,M,Gold +Seoul,1988,Aquatics,Swimming,4x100m medley relay,"HÖRNER, Silke",Women,GDR,East Germany,W,Gold +Seoul,1988,Aquatics,Swimming,4x100m freestyle relay,"MUIS, Mildred",Women,NED,Netherlands,W,Silver +Seoul,1988,Aquatics,Swimming,4x200m freestyle relay,"FAHRNER, Thomas",Men,FRG,West Germany,M,Bronze +Seoul,1988,Aquatics,Swimming,4x200m freestyle relay,"ZESNER, Steffen",Men,GDR,East Germany,M,Silver +Seoul,1988,Aquatics,Swimming,1500m freestyle,"PFEIFFER, Stefan",Men,FRG,West Germany,M,Silver +Seoul,1988,Aquatics,Swimming,4x100m medley relay,"WAYTE, Mary Alice",Women,USA,United States,W,Silver +Seoul,1988,Aquatics,Swimming,100m freestyle,"BIONDI, Matthew",Men,USA,United States,M,Gold +Seoul,1988,Aquatics,Swimming,4x100m freestyle relay,"BASHKATOV, Juri",Men,URS,Soviet Union,M,Silver +Seoul,1988,Aquatics,Swimming,4x100m freestyle relay,"WALKER, Laura Anne",Women,USA,United States,W,Bronze +Seoul,1988,Aquatics,Swimming,4x200m freestyle relay,"LODZIEWSKI, Sven",Men,GDR,East Germany,M,Silver +Seoul,1988,Aquatics,Swimming,4x100m medley relay,"TORRES, Dara",Women,USA,United States,W,Silver +Seoul,1988,Aquatics,Swimming,4x100m medley relay,"VOLKOV, Dmitri",Men,URS,Soviet Union,M,Bronze +Seoul,1988,Aquatics,Swimming,4x100m medley relay,"POLYANSKI, Igor",Men,URS,Soviet Union,M,Bronze +Seoul,1988,Aquatics,Swimming,4x100m freestyle relay,"PRIGODA, Guennadi",Men,URS,Soviet Union,M,Silver +Seoul,1988,Aquatics,Swimming,200m butterfly,"NORD, Kathleen",Women,GDR,East Germany,W,Gold +Seoul,1988,Aquatics,Swimming,4x100m freestyle relay,"ZESNER, Steffen",Men,GDR,East Germany,M,Bronze +Seoul,1988,Aquatics,Swimming,4x100m medley relay,"OTTO, Kristin",Women,GDR,East Germany,W,Gold +Seoul,1988,Aquatics,Swimming,100m backstroke,"EGERSZEGI, Krisztina",Women,HUN,Hungary,W,Silver +Seoul,1988,Aquatics,Swimming,800m freestyle,"STRAUSS, Astrid",Women,GDR,East Germany,W,Silver +Seoul,1988,Aquatics,Swimming,100m butterfly,"JAMESON, Andrew Dasvid",Men,GBR,United Kingdom,M,Bronze +Seoul,1988,Aquatics,Swimming,4x200m freestyle relay,"GROSS, Michael",Men,FRG,West Germany,M,Bronze +Seoul,1988,Aquatics,Swimming,100m freestyle,"PLEWINSKI, Catherine",Women,FRA,France,W,Bronze +Seoul,1988,Aquatics,Swimming,4x100m freestyle relay,"BIONDI, Matthew",Men,USA,United States,M,Gold +Seoul,1988,Aquatics,Swimming,4x100m freestyle relay,"JACOBS, Christopher Charles",Men,USA,United States,M,Gold +Seoul,1988,Aquatics,Swimming,50m freestyle,"BIONDI, Matthew",Men,USA,United States,M,Gold +Seoul,1988,Aquatics,Swimming,50m freestyle,"PRIGODA, Guennadi",Men,URS,Soviet Union,M,Bronze +Seoul,1988,Aquatics,Swimming,4x100m freestyle relay,"HINNEBURG, Lars",Men,GDR,East Germany,M,Bronze +Seoul,1988,Aquatics,Swimming,200m butterfly,"NIELSEN, Benny Leo",Men,DEN,Denmark,M,Silver +Seoul,1988,Aquatics,Swimming,400m freestyle,"MÖHRING, Anke",Women,GDR,East Germany,W,Bronze +Seoul,1988,Aquatics,Swimming,200m freestyle,"FRIEDRICH, Heike",Women,GDR,East Germany,W,Gold +Seoul,1988,Aquatics,Swimming,400m freestyle,"ARMSTRONG, Duncan John",Men,AUS,Australia,M,Silver +Seoul,1988,Aquatics,Swimming,4x100m medley relay,"SCHROEDER, Richard Alan",Men,USA,United States,M,Gold +Seoul,1988,Aquatics,Swimming,200m backstroke,"KINGSMAN, Paul",Men,NZL,New Zealand,M,Bronze +Seoul,1988,Aquatics,Swimming,4x100m freestyle relay,"HUNGER, Daniela",Women,GDR,East Germany,W,Gold +Seoul,1988,Aquatics,Swimming,400m individual medley,"DARNYI, Tamas",Men,HUN,Hungary,M,Gold +Seoul,1988,Aquatics,Swimming,4x100m medley relay,"NUGENT, Andrea",Women,CAN,Canada,W,Bronze +Seoul,1988,Aquatics,Swimming,200m breaststroke,"HÖRNER, Silke",Women,GDR,East Germany,W,Gold +Seoul,1988,Aquatics,Swimming,200m butterfly,"GROSS, Michael",Men,FRG,West Germany,M,Gold +Seoul,1988,Aquatics,Swimming,200m butterfly,"MEAGHER, Mary T.",Women,USA,United States,W,Bronze +Seoul,1988,Aquatics,Swimming,50m freestyle,"STERKEL, Gillian Ann",Women,USA,United States,W,Bronze +Seoul,1988,Aquatics,Swimming,100m butterfly,"OTTO, Kristin",Women,GDR,East Germany,W,Gold +Seoul,1988,Aquatics,Swimming,4x100m medley relay,"WEIGANG, Birte",Women,GDR,East Germany,W,Gold +Seoul,1988,Aquatics,Swimming,200m backstroke,"BALTRUSCH, Frank",Men,GDR,East Germany,M,Silver +Seoul,1988,Aquatics,Swimming,4x100m medley relay,"GOSS, Donald Alexander",Men,CAN,Canada,M,Silver +Seoul,1988,Aquatics,Swimming,100m backstroke,"OTTO, Kristin",Women,GDR,East Germany,W,Gold +Seoul,1988,Aquatics,Swimming,200m breaststroke,"LOPEZ MIRO, Sergio",Men,ESP,Spain,M,Bronze +Seoul,1988,Aquatics,Swimming,4x100m freestyle relay,"TKASHENKO, Vladimir",Men,URS,Soviet Union,M,Silver +Seoul,1988,Aquatics,Swimming,4x100m freestyle relay,"JAGER, Thomas Michael",Men,USA,United States,M,Gold +Seoul,1988,Aquatics,Swimming,4x100m medley relay,"PRIGODA, Guennadi",Men,URS,Soviet Union,M,Bronze +Seoul,1988,Aquatics,Swimming,200m individual medley,"YAROSHCHUK, Vadim",Men,URS,Soviet Union,M,Bronze +Seoul,1988,Aquatics,Swimming,200m freestyle,"POLL AHRENS, Silvia",Women,CRC,Costa Rica,W,Silver +Seoul,1988,Aquatics,Swimming,4x100m freestyle relay,"WAYTE, Mary Alice",Women,USA,United States,W,Bronze +Seoul,1988,Aquatics,Swimming,4x100m freestyle relay,"EVSEEV, Nikolai",Men,URS,Soviet Union,M,Silver +Seoul,1988,Aquatics,Swimming,4x200m freestyle relay,"HOCHSTEIN, Erik",Men,FRG,West Germany,M,Bronze +Seoul,1988,Aquatics,Swimming,100m breaststroke,"VOLKOV, Dmitri",Men,URS,Soviet Union,M,Bronze +Seoul,1988,Aquatics,Swimming,200m individual medley,"DENDEBEROVA, Elena",Women,URS,Soviet Union,W,Silver +Seoul,1988,Aquatics,Swimming,200m freestyle,"HOLMERTZ, Anders",Men,SWE,Sweden,M,Silver +Seoul,1988,Aquatics,Swimming,200m individual medley,"DARNYI, Tamas",Men,HUN,Hungary,M,Gold +Seoul,1988,Aquatics,Swimming,400m individual medley,"HUNGER, Daniela",Women,GDR,East Germany,W,Bronze +Seoul,1988,Aquatics,Swimming,50m freestyle,"YANG, Wenyi",Women,CHN,China,W,Silver +Seoul,1988,Aquatics,Swimming,4x100m medley relay,"BARR, Elizabeth Cynthia",Women,USA,United States,W,Silver +Seoul,1988,Aquatics,Swimming,4x100m medley relay,"DAVIS, Victor",Men,CAN,Canada,M,Silver +Seoul,1988,Aquatics,Swimming,400m freestyle,"WOJDAT, Artur",Men,POL,Poland,M,Bronze +Seoul,1988,Aquatics,Swimming,4x100m freestyle relay,"MUIS, Marianne",Women,NED,Netherlands,W,Silver +Seoul,1988,Aquatics,Swimming,100m freestyle,"ZHUANG, Yong",Women,CHN,China,W,Silver +Seoul,1988,Aquatics,Swimming,200m backstroke,"ZIMMERMANN, Kathrin",Women,GDR,East Germany,W,Silver +Seoul,1988,Aquatics,Swimming,4x100m medley relay,"BIONDI, Matthew",Men,USA,United States,M,Gold +Seoul,1988,Aquatics,Swimming,4x100m freestyle relay,"STELLMACH, Manuela",Women,GDR,East Germany,W,Gold +Seoul,1988,Aquatics,Swimming,100m breaststroke,"BOGOMILOVA-DANGALAKOVA, Tania",Women,BUL,Bulgaria,W,Gold +Seoul,1988,Aquatics,Swimming,200m individual medley,"HUNGER, Daniela",Women,GDR,East Germany,W,Gold +Seoul,1988,Aquatics,Swimming,400m freestyle,"EVANS, Janet",Women,USA,United States,W,Gold +Seoul,1988,Aquatics,Swimming,400m freestyle,"FRIEDRICH, Heike",Women,GDR,East Germany,W,Silver +Seoul,1988,Aquatics,Swimming,4x200m freestyle relay,"BIONDI, Matthew",Men,USA,United States,M,Gold +Seoul,1988,Aquatics,Swimming,4x100m freestyle relay,"VAN BENTUM, Conny",Women,NED,Netherlands,W,Silver +Seoul,1988,Aquatics,Swimming,4x200m freestyle relay,"DASSLER, Uwe",Men,GDR,East Germany,M,Silver +Seoul,1988,Aquatics,Swimming,200m backstroke,"POLYANSKI, Igor",Men,URS,Soviet Union,M,Gold +Seoul,1988,Aquatics,Swimming,4x100m freestyle relay,"BRIENESSE, Karin",Women,NED,Netherlands,W,Silver +Seoul,1988,Aquatics,Swimming,200m breaststroke,"GILLINGHAM, Nick",Men,GBR,United Kingdom,M,Silver +Seoul,1988,Aquatics,Swimming,100m butterfly,"BIONDI, Matthew",Men,USA,United States,M,Silver +Seoul,1988,Aquatics,Swimming,100m breaststroke,"HÖRNER, Silke",Women,GDR,East Germany,W,Bronze +Seoul,1988,Aquatics,Swimming,400m individual medley,"EVANS, Janet",Women,USA,United States,W,Gold +Seoul,1988,Aquatics,Swimming,4x100m medley relay,"MELIEN, Lori",Women,CAN,Canada,W,Bronze +Seoul,1988,Aquatics,Swimming,100m freestyle,"JACOBS, Christopher Charles",Men,USA,United States,M,Silver +Seoul,1988,Aquatics,Swimming,200m freestyle,"STELLMACH, Manuela",Women,GDR,East Germany,W,Bronze +Seoul,1988,Aquatics,Swimming,4x100m freestyle relay,"MEISSNER, Katrin",Women,GDR,East Germany,W,Gold +Seoul,1988,Aquatics,Swimming,50m freestyle,"JAGER, Thomas Michael",Men,USA,United States,M,Silver +Seoul,1988,Aquatics,Swimming,4x100m freestyle relay,"OTTO, Kristin",Women,GDR,East Germany,W,Gold +Seoul,1988,Aquatics,Swimming,100m butterfly,"NESTY, Anthony Conrad",Men,SUR,Suriname,M,Gold +Seoul,1988,Aquatics,Swimming,4x100m freestyle relay,"RICHTER, Dirk",Men,GDR,East Germany,M,Bronze +Seoul,1988,Aquatics,Swimming,200m individual medley,"KUHL, Patrick",Men,GDR,East Germany,M,Silver +Seoul,1988,Aquatics,Swimming,100m freestyle,"CARON, Stephan",Men,FRA,France,M,Bronze +Seoul,1988,Aquatics,Swimming,200m backstroke,"SIRCH, Cornelia",Women,GDR,East Germany,W,Bronze +Seoul,1988,Aquatics,Swimming,200m butterfly,"MOSSE, Anthony",Men,NZL,New Zealand,M,Bronze +Seoul,1988,Aquatics,Swimming,400m individual medley,"BATTISTELLI, Stefano",Men,ITA,Italy,M,Bronze +Seoul,1988,Aquatics,Swimming,200m breaststroke,"SZABO, Jozsef",Men,HUN,Hungary,M,Gold +Seoul,1988,Aquatics,Swimming,4x100m medley relay,"KERR, Jane",Women,CAN,Canada,W,Bronze +Seoul,1988,Aquatics,Swimming,200m freestyle,"BIONDI, Matthew",Men,USA,United States,M,Bronze +Seoul,1988,Aquatics,Swimming,4x100m medley relay,"PONTING, Thomas",Men,CAN,Canada,M,Silver +Seoul,1988,Aquatics,Synchronized S.,solo,"RUIZ-CONFORTO, Tracie Lehuanani",Women,USA,United States,W,Silver +Seoul,1988,Aquatics,Synchronized S.,duet,"JOSEPHSON, Sarah",Women,USA,United States,W,Silver +Seoul,1988,Aquatics,Synchronized S.,solo,"KOTANI, Mikako",Women,JPN,Japan,W,Bronze +Seoul,1988,Aquatics,Synchronized S.,duet,"JOSEPHSON, Karen",Women,USA,United States,W,Silver +Seoul,1988,Aquatics,Synchronized S.,solo,"WALDO, Carolyn",Women,CAN,Canada,W,Gold +Seoul,1988,Aquatics,Synchronized S.,duet,"TANAKA, Miyako",Women,JPN,Japan,W,Bronze +Seoul,1988,Aquatics,Synchronized S.,duet,"CAMERON, Michelle",Women,CAN,Canada,W,Gold +Seoul,1988,Aquatics,Synchronized S.,duet,"KOTANI, Mikako",Women,JPN,Japan,W,Bronze +Seoul,1988,Aquatics,Synchronized S.,duet,"WALDO, Carolyn",Women,CAN,Canada,W,Gold +Seoul,1988,Aquatics,Water polo,water polo,"SIMENC, Dubravko",Men,YUG,Yugoslavia,M,Gold +Seoul,1988,Aquatics,Water polo,water polo,"BEZMALINOVIC, Mislav",Men,YUG,Yugoslavia,M,Gold +Seoul,1988,Aquatics,Water polo,water polo,"SMIRNOV, Nikolai",Men,URS,Soviet Union,M,Bronze +Seoul,1988,Aquatics,Water polo,water polo,"DUPLANTY, Christopher",Men,USA,United States,M,Silver +Seoul,1988,Aquatics,Water polo,water polo,"MENDYGALIEV, Nurlan",Men,URS,Soviet Union,M,Bronze +Seoul,1988,Aquatics,Water polo,water polo,"DJUHO, Veselin",Men,YUG,Yugoslavia,M,Gold +Seoul,1988,Aquatics,Water polo,water polo,"BERENDYUGA, Viktor",Men,URS,Soviet Union,M,Bronze +Seoul,1988,Aquatics,Water polo,water polo,"SHARONOV, Evgeni",Men,URS,Soviet Union,M,Bronze +Seoul,1988,Aquatics,Water polo,water polo,"MSCHVENIERADZE, Georgi",Men,URS,Soviet Union,M,Bronze +Seoul,1988,Aquatics,Water polo,water polo,"KIMBELL, Douglas Burns",Men,USA,United States,M,Silver +Seoul,1988,Aquatics,Water polo,water polo,"BUKIC, Perica",Men,YUG,Yugoslavia,M,Gold +Seoul,1988,Aquatics,Water polo,water polo,"KLASS, Edward Craig",Men,USA,United States,M,Silver +Seoul,1988,Aquatics,Water polo,water polo,"EVANS, Michael Scott",Men,USA,United States,M,Silver +Seoul,1988,Aquatics,Water polo,water polo,"CAMPBELL, Jeff",Men,USA,United States,M,Silver +Seoul,1988,Aquatics,Water polo,water polo,"MILANOVIC, Igor",Men,YUG,Yugoslavia,M,Gold +Seoul,1988,Aquatics,Water polo,water polo,"SCHROEDER, Terence Alan",Men,USA,United States,M,Silver +Seoul,1988,Aquatics,Water polo,water polo,"ROBERTSON, Kevin George",Men,USA,United States,M,Silver +Seoul,1988,Aquatics,Water polo,water polo,"GRISHIN, Evgeni",Men,URS,Soviet Union,M,Bronze +Seoul,1988,Aquatics,Water polo,water polo,"NAUMOV, Sergey",Men,URS,Soviet Union,M,Bronze +Seoul,1988,Aquatics,Water polo,water polo,"ANDRIC, Dragan",Men,YUG,Yugoslavia,M,Gold +Seoul,1988,Aquatics,Water polo,water polo,"POSINKOVIC, Renco",Men,YUG,Yugoslavia,M,Gold +Seoul,1988,Aquatics,Water polo,water polo,"SOSTAR, Aleksandar",Men,YUG,Yugoslavia,M,Gold +Seoul,1988,Aquatics,Water polo,water polo,"APANASSENKO, Dmitri",Men,URS,Soviet Union,M,Bronze +Seoul,1988,Aquatics,Water polo,water polo,"IVANOV, Mikhail",Men,URS,Soviet Union,M,Bronze +Seoul,1988,Aquatics,Water polo,water polo,"PASKVALIN, Tomislav",Men,YUG,Yugoslavia,M,Gold +Seoul,1988,Aquatics,Water polo,water polo,"MARKOCH, Sergei",Men,URS,Soviet Union,M,Bronze +Seoul,1988,Aquatics,Water polo,water polo,"GOCANIN, Igor",Men,YUG,Yugoslavia,M,Gold +Seoul,1988,Aquatics,Water polo,water polo,"BERGESON, James Hubter",Men,USA,United States,M,Silver +Seoul,1988,Aquatics,Water polo,water polo,"VICEVIC, Mirko",Men,YUG,Yugoslavia,M,Gold +Seoul,1988,Aquatics,Water polo,water polo,"MOUCHAWAR, Alan Edward",Men,USA,United States,M,Silver +Seoul,1988,Aquatics,Water polo,water polo,"CAMPBELL, Jodocus David",Men,USA,United States,M,Silver +Seoul,1988,Aquatics,Water polo,water polo,"WILSON, Craig Martin",Men,USA,United States,M,Silver +Seoul,1988,Aquatics,Water polo,water polo,"BOYER, Gregory Vartl",Men,USA,United States,M,Silver +Seoul,1988,Aquatics,Water polo,water polo,"RADJENOVIC, Goran",Men,YUG,Yugoslavia,M,Gold +Seoul,1988,Aquatics,Water polo,water polo,"KOTENKO, Sergei",Men,URS,Soviet Union,M,Bronze +Seoul,1988,Aquatics,Water polo,water polo,"GIORGADZE, Mikhail",Men,URS,Soviet Union,M,Bronze +Seoul,1988,Aquatics,Water polo,water polo,"KOLOTOV, Aleksandr",Men,URS,Soviet Union,M,Bronze +Seoul,1988,Aquatics,Water polo,water polo,"LUSIC, Deni",Men,YUG,Yugoslavia,M,Gold +Seoul,1988,Aquatics,Water polo,water polo,"CAMPBELL, George Peter",Men,USA,United States,M,Silver +Seoul,1988,Archery,Archery,teams FITA round,"SKILLMAN, Melanie Soltysik",Women,USA,United States,W,Bronze +Seoul,1988,Archery,Archery,teams FITA round,"PACE, Darrell Owen",Men,USA,United States,M,Silver +Seoul,1988,Archery,Archery,teams FITA round,"CHUN, In-Soo",Men,KOR,"Korea, South",M,Gold +Seoul,1988,Archery,Archery,teams FITA round,"KIM, Soo-Nyung",Women,KOR,"Korea, South",W,Gold +Seoul,1988,Archery,Archery,teams FITA round,"YUN, Young-Sook",Women,KOR,"Korea, South",W,Gold +Seoul,1988,Archery,Archery,teams FITA round,"PRIESTMAN, Richard John",Men,GBR,United Kingdom,M,Bronze +Seoul,1988,Archery,Archery,individual FITA round,"KIM, Soo-Nyung",Women,KOR,"Korea, South",W,Gold +Seoul,1988,Archery,Archery,individual FITA round,"BARRS, Jay",Men,USA,United States,M,Gold +Seoul,1988,Archery,Archery,individual FITA round,"YUN, Young-Sook",Women,KOR,"Korea, South",W,Bronze +Seoul,1988,Archery,Archery,teams FITA round,"BARRS, Jay",Men,USA,United States,M,Silver +Seoul,1988,Archery,Archery,individual FITA round,"WANG, Hee-Kyung",Women,KOR,"Korea, South",W,Silver +Seoul,1988,Archery,Archery,teams FITA round,"HANDAYANI, Lilies",Women,INA,Indonesia,W,Silver +Seoul,1988,Archery,Archery,teams FITA round,"LEE, Han-Sup",Men,KOR,"Korea, South",M,Gold +Seoul,1988,Archery,Archery,teams FITA round,"WATSON, Leroy",Men,GBR,United Kingdom,M,Bronze +Seoul,1988,Archery,Archery,teams FITA round,"WARDHANI, Kusuma",Women,INA,Indonesia,W,Silver +Seoul,1988,Archery,Archery,teams FITA round,"OCHS, Deborah Lynn",Women,USA,United States,W,Bronze +Seoul,1988,Archery,Archery,teams FITA round,"PARKER, Denise",Women,USA,United States,W,Bronze +Seoul,1988,Archery,Archery,individual FITA round,"ESHEEV, Vladimir",Men,URS,Soviet Union,M,Bronze +Seoul,1988,Archery,Archery,teams FITA round,"PARK, Sung-Soo",Men,KOR,"Korea, South",M,Gold +Seoul,1988,Archery,Archery,teams FITA round,"MCKINNEY, Richard Lee",Men,USA,United States,M,Silver +Seoul,1988,Archery,Archery,teams FITA round,"HALLARD, Steven",Men,GBR,United Kingdom,M,Bronze +Seoul,1988,Archery,Archery,teams FITA round,"SAIMAN, Nurfitriyana",Women,INA,Indonesia,W,Silver +Seoul,1988,Archery,Archery,individual FITA round,"PARK, Sung-Soo",Men,KOR,"Korea, South",M,Silver +Seoul,1988,Archery,Archery,teams FITA round,"WANG, Hee-Kyung",Women,KOR,"Korea, South",W,Gold +Seoul,1988,Athletics,Athletics,javelin throw,"ZELEZNY, Jan",Men,TCH,Czechoslovakia,M,Silver +Seoul,1988,Athletics,Athletics,4x100m relay,"QUENEHERVE, Gilles",Men,FRA,France,M,Bronze +Seoul,1988,Athletics,Athletics,decathlon,"STEEN, David",Men,CAN,Canada,M,Bronze +Seoul,1988,Athletics,Athletics,shot put,"TIMMERMANN, Ulf",Men,GDR,East Germany,M,Gold +Seoul,1988,Athletics,Athletics,triple jump,"LAPSHIN, Igor",Men,URS,Soviet Union,M,Silver +Seoul,1988,Athletics,Athletics,javelin throw,"RATY, Seppo Henrik",Men,FIN,Finland,M,Bronze +Seoul,1988,Athletics,Athletics,long jump,"JOYNER-KERSEE, Jackie",Women,USA,United States,W,Gold +Seoul,1988,Athletics,Athletics,discus throw,"UBARTAS, Romas",Men,URS,Soviet Union,M,Silver +Seoul,1988,Athletics,Athletics,marathon,"MARTIN-ONDIEKI-O'DEA, Lisa",Women,AUS,Australia,W,Silver +Seoul,1988,Athletics,Athletics,50km walk,"WEIGEL, Ronald",Men,GDR,East Germany,M,Silver +Seoul,1988,Athletics,Athletics,1500m,"IVAN, Paula",Women,ROU,Romania,W,Gold +Seoul,1988,Athletics,Athletics,4x400m relay,"GRAHAM, Winthrop",Men,JAM,Jamaica,M,Silver +Seoul,1988,Athletics,Athletics,800m,"ERENG, Paul",Men,KEN,Kenya,M,Gold +Seoul,1988,Athletics,Athletics,4x100m relay,"MÖLLER, Silke",Women,GDR,East Germany,W,Silver +Seoul,1988,Athletics,Athletics,4x400m relay,"EMMELMANN, Kirsten",Women,GDR,East Germany,W,Bronze +Seoul,1988,Athletics,Athletics,4x400m relay,"REYNOLDS, Harry Butch .",Men,USA,United States,M,Gold +Seoul,1988,Athletics,Athletics,4x100m relay,"VORONOVA, Natalya",Women,URS,Soviet Union,W,Bronze +Seoul,1988,Athletics,Athletics,200m,"LEWIS, Carl",Men,USA,United States,M,Silver +Seoul,1988,Athletics,Athletics,400m,"LEWIS, Steve",Men,USA,United States,M,Gold +Seoul,1988,Athletics,Athletics,pole vault,"GATAULLIN, Rodion",Men,URS,Soviet Union,M,Silver +Seoul,1988,Athletics,Athletics,20km walk,"WEIGEL, Ronald",Men,GDR,East Germany,M,Silver +Seoul,1988,Athletics,Athletics,10000m,"MCCOLGAN-LYNCH, Elizabeth",Women,GBR,United Kingdom,W,Silver +Seoul,1988,Athletics,Athletics,heptathlon,"BEHMER, Anke",Women,GDR,East Germany,W,Bronze +Seoul,1988,Athletics,Athletics,pole vault,"BUBKA, Sergey",Men,URS,Soviet Union,M,Gold +Seoul,1988,Athletics,Athletics,4x100m relay,"ECHOLS, Sheila",Women,USA,United States,W,Gold +Seoul,1988,Athletics,Athletics,400m hurdles,"PHILLIPS, Andre Lamar",Men,USA,United States,M,Gold +Seoul,1988,Athletics,Athletics,long jump,"MYRICKS, Lawrence Ellwyne",Men,USA,United States,M,Bronze +Seoul,1988,Athletics,Athletics,marathon,"DÖRRE, Katrin",Women,GDR,East Germany,W,Bronze +Seoul,1988,Athletics,Athletics,4x400m relay,"PINIGINA, Mariya",Women,URS,Soviet Union,W,Gold +Seoul,1988,Athletics,Athletics,100m,"ASHFORD, Evelyn",Women,USA,United States,W,Silver +Seoul,1988,Athletics,Athletics,4x400m relay,"VAIHINGER, Jörg",Men,FRG,West Germany,M,Bronze +Seoul,1988,Athletics,Athletics,4x400m relay,"NEUBAUER, Dagmar",Women,GDR,East Germany,W,Bronze +Seoul,1988,Athletics,Athletics,5000m,"KUNZE, Hansjörg",Men,GDR,East Germany,M,Bronze +Seoul,1988,Athletics,Athletics,4x400m relay,"DIXON, Diane Lynn",Women,USA,United States,W,Silver +Seoul,1988,Athletics,Athletics,high jump,"CONWAY, Hollis",Men,USA,United States,M,Silver +Seoul,1988,Athletics,Athletics,marathon,"BORDIN, Gelindo",Men,ITA,Italy,M,Gold +Seoul,1988,Athletics,Athletics,400m,"NAZAROVA, Olga",Women,URS,Soviet Union,W,Bronze +Seoul,1988,Athletics,Athletics,discus throw,"HELLMANN, Martina",Women,GDR,East Germany,W,Gold +Seoul,1988,Athletics,Athletics,4x100m relay,"BROWN, Alice Regina",Women,USA,United States,W,Gold +Seoul,1988,Athletics,Athletics,4x400m relay,"NAZAROVA, Olga",Women,URS,Soviet Union,W,Gold +Seoul,1988,Athletics,Athletics,100m hurdles,"DONKOVA, Yordanka",Women,BUL,Bulgaria,W,Gold +Seoul,1988,Athletics,Athletics,triple jump,"KOVALENKO, Alexandre",Men,URS,Soviet Union,M,Bronze +Seoul,1988,Athletics,Athletics,200m,"JACKSON SMALL, Grace",Women,JAM,Jamaica,W,Silver +Seoul,1988,Athletics,Athletics,4x100m relay,"CHRISTIE, Linford",Men,GBR,United Kingdom,M,Silver +Seoul,1988,Athletics,Athletics,4x100m relay,"MC FARLANE, Michael",Men,GBR,United Kingdom,M,Silver +Seoul,1988,Athletics,Athletics,5000m,"NGUGI, John",Men,KEN,Kenya,M,Gold +Seoul,1988,Athletics,Athletics,long jump,"DRECHSLER, Heike",Women,GDR,East Germany,W,Silver +Seoul,1988,Athletics,Athletics,javelin throw,"WHITBREAD, Fatima",Women,GBR,United Kingdom,W,Silver +Seoul,1988,Athletics,Athletics,4x100m relay,"BUNNEY, Elliot John",Men,GBR,United Kingdom,M,Silver +Seoul,1988,Athletics,Athletics,4x400m relay,"MÜLLER, Petra",Women,GDR,East Germany,W,Bronze +Seoul,1988,Athletics,Athletics,4x400m relay,"MORRIS, Devon",Men,JAM,Jamaica,M,Silver +Seoul,1988,Athletics,Athletics,4x100m relay,"MALCHUGINA, Galina",Women,URS,Soviet Union,W,Bronze +Seoul,1988,Athletics,Athletics,4x400m relay,"CAMERON, Bertland",Men,JAM,Jamaica,M,Silver +Seoul,1988,Athletics,Athletics,800m,"CRUZ, Joaquim",Men,BRA,Brazil,M,Silver +Seoul,1988,Athletics,Athletics,10000m,"BOUTAYEB, Moulay Brahim",Men,MAR,Morocco,M,Gold +Seoul,1988,Athletics,Athletics,decathlon,"VOSS, Torsten",Men,GDR,East Germany,M,Silver +Seoul,1988,Athletics,Athletics,discus throw,"DANNEBERG, Rolf",Men,FRG,West Germany,M,Bronze +Seoul,1988,Athletics,Athletics,shot put,"BARNES, Eric Randolph",Men,USA,United States,M,Silver +Seoul,1988,Athletics,Athletics,50km walk,"GAUDER, Hartwig",Men,GDR,East Germany,M,Bronze +Seoul,1988,Athletics,Athletics,4x400m relay,"EVERETT, Daniel",Men,USA,United States,M,Gold +Seoul,1988,Athletics,Athletics,1500m,"ELLIOTT, Peter",Men,GBR,United Kingdom,M,Silver +Seoul,1988,Athletics,Athletics,400m hurdles,"LEDOVSKAYA, Tatiana",Women,URS,Soviet Union,W,Silver +Seoul,1988,Athletics,Athletics,4x100m relay,"OELSNER-GÖHR, Marlies",Women,GDR,East Germany,W,Silver +Seoul,1988,Athletics,Athletics,20km walk,"DAMILANO, Maurizio",Men,ITA,Italy,M,Bronze +Seoul,1988,Athletics,Athletics,100m,"DRECHSLER, Heike",Women,GDR,East Germany,W,Bronze +Seoul,1988,Athletics,Athletics,4x400m relay,"LUBKE, Ralf",Men,FRG,West Germany,M,Bronze +Seoul,1988,Athletics,Athletics,110m hurdles,"JACKSON, Colin",Men,GBR,United Kingdom,M,Silver +Seoul,1988,Athletics,Athletics,4x100m relay,"ZHIROVA, Marina",Women,URS,Soviet Union,W,Bronze +Seoul,1988,Athletics,Athletics,400m,"EVERETT, Daniel",Men,USA,United States,M,Bronze +Seoul,1988,Athletics,Athletics,hammer throw,"LITVINOV, Sergei",Men,URS,Soviet Union,M,Gold +Seoul,1988,Athletics,Athletics,hammer throw,"TAMM, Yuri",Men,URS,Soviet Union,M,Bronze +Seoul,1988,Athletics,Athletics,800m,"AOUITA, Said",Men,MAR,Morocco,M,Bronze +Seoul,1988,Athletics,Athletics,800m,"WODARS, Sigrun",Women,GDR,East Germany,W,Gold +Seoul,1988,Athletics,Athletics,long jump,"POWELL, Michael Anthony",Men,USA,United States,M,Silver +Seoul,1988,Athletics,Athletics,400m,"MÜLLER, Petra",Women,GDR,East Germany,W,Silver +Seoul,1988,Athletics,Athletics,long jump,"CHISTYAKOVA, Galina",Women,URS,Soviet Union,W,Bronze +Seoul,1988,Athletics,Athletics,4x100m relay,"BEHRENDT, Kerstin",Women,GDR,East Germany,W,Silver +Seoul,1988,Athletics,Athletics,heptathlon,"JOHN, Sabine",Women,GDR,East Germany,W,Silver +Seoul,1988,Athletics,Athletics,4x400m relay,"ITT, Edgar",Men,FRG,West Germany,M,Bronze +Seoul,1988,Athletics,Athletics,4x100m relay,"KONDRATIEVA, Liudmila",Women,URS,Soviet Union,W,Bronze +Seoul,1988,Athletics,Athletics,4x400m relay,"LEDOVSKAYA, Tatiana",Women,URS,Soviet Union,W,Gold +Seoul,1988,Athletics,Athletics,4x400m relay,"DAVIS, Howard",Men,JAM,Jamaica,M,Silver +Seoul,1988,Athletics,Athletics,javelin throw,"KORJUS, Tapio",Men,FIN,Finland,M,Gold +Seoul,1988,Athletics,Athletics,high jump,"KOSTADINOVA, Stefka",Women,BUL,Bulgaria,W,Silver +Seoul,1988,Athletics,Athletics,100m,"GRIFFITH-JOYNER, Florence",Women,USA,United States,W,Gold +Seoul,1988,Athletics,Athletics,800m,"GALLAGHER, Kimberley Ann",Women,USA,United States,W,Bronze +Seoul,1988,Athletics,Athletics,high jump,"RITTER, Dorothy Louise",Women,USA,United States,W,Gold +Seoul,1988,Athletics,Athletics,400m hurdles,"MOSES, Edwin",Men,USA,United States,M,Bronze +Seoul,1988,Athletics,Athletics,4x100m relay,"MARIE-ROSE, Bruno",Men,FRA,France,M,Bronze +Seoul,1988,Athletics,Athletics,3000m,"SAMOLENKO-DOROVSKIKH, Tatyana",Women,URS,Soviet Union,W,Gold +Seoul,1988,Athletics,Athletics,4x100m relay,"ASHFORD, Evelyn",Women,USA,United States,W,Gold +Seoul,1988,Athletics,Athletics,pole vault,"EGOROV, Grigori",Men,URS,Soviet Union,M,Bronze +Seoul,1988,Athletics,Athletics,discus throw,"KHRISTOVA, Tzvetanka Pavlova",Women,BUL,Bulgaria,W,Bronze +Seoul,1988,Athletics,Athletics,100m,"LEWIS, Carl",Men,USA,United States,M,Gold +Seoul,1988,Athletics,Athletics,4x100m relay,"SAVIN, Vitaly",Men,URS,Soviet Union,M,Gold +Seoul,1988,Athletics,Athletics,4x400m relay,"HOWARD-HILL, Denean Elizabeth",Women,USA,United States,W,Silver +Seoul,1988,Athletics,Athletics,10000m,"ANTIBO, Salvatore",Men,ITA,Italy,M,Silver +Seoul,1988,Athletics,Athletics,4x100m relay,"REGIS, John Paul Lyndon",Men,GBR,United Kingdom,M,Silver +Seoul,1988,Athletics,Athletics,4x400m relay,"DOBELEIT, Norbert",Men,FRG,West Germany,M,Bronze +Seoul,1988,Athletics,Athletics,4x100m relay,"MORINIERE, Max",Men,FRA,France,M,Bronze +Seoul,1988,Athletics,Athletics,4x100m relay,"AUERSWALD-LANGE, Ingrid",Women,GDR,East Germany,W,Silver +Seoul,1988,Athletics,Athletics,shot put,"LI, Mei-Su",Women,CHN,China,W,Bronze +Seoul,1988,Athletics,Athletics,400m hurdles,"FLINTOFF-KING, Deborah",Women,AUS,Australia,W,Gold +Seoul,1988,Athletics,Athletics,4x400m relay,"LEWIS, Steve",Men,USA,United States,M,Gold +Seoul,1988,Athletics,Athletics,110m hurdles,"CAMPBELL, Anthony Eugene",Men,USA,United States,M,Bronze +Seoul,1988,Athletics,Athletics,1500m,"HEROLD, Jens-Peter",Men,GDR,East Germany,M,Bronze +Seoul,1988,Athletics,Athletics,3000m steeplechase,"ROWLAND, Mark Robert",Men,GBR,United Kingdom,M,Bronze +Seoul,1988,Athletics,Athletics,triple jump,"MARKOV, Kristo Gantchev",Men,BUL,Bulgaria,M,Gold +Seoul,1988,Athletics,Athletics,110m hurdles,"KINGDOM, Roger",Men,USA,United States,M,Gold +Seoul,1988,Athletics,Athletics,1500m,"RONO, Peter",Men,KEN,Kenya,M,Gold +Seoul,1988,Athletics,Athletics,long jump,"LEWIS, Carl",Men,USA,United States,M,Gold +Seoul,1988,Athletics,Athletics,10000m,"KIMELI, Kipkemboi",Men,KEN,Kenya,M,Bronze +Seoul,1988,Athletics,Athletics,800m,"WACHTEL, Christine",Women,GDR,East Germany,W,Silver +Seoul,1988,Athletics,Athletics,4x400m relay,"GRIFFITH-JOYNER, Florence",Women,USA,United States,W,Silver +Seoul,1988,Athletics,Athletics,decathlon,"SCHENK, Christian",Men,GDR,East Germany,M,Gold +Seoul,1988,Athletics,Athletics,marathon,"MOTA, Rosa",Women,POR,Portugal,W,Gold +Seoul,1988,Athletics,Athletics,200m,"DRECHSLER, Heike",Women,GDR,East Germany,W,Bronze +Seoul,1988,Athletics,Athletics,shot put,"LISOVSKAYA, Natalya",Women,URS,Soviet Union,W,Gold +Seoul,1988,Athletics,Athletics,100m hurdles,"ZACZKIEWICZ-REIDICK, Claudia",Women,FRG,West Germany,W,Bronze +Seoul,1988,Athletics,Athletics,4x400m relay,"BRYZGINA, Olga",Women,URS,Soviet Union,W,Gold +Seoul,1988,Athletics,Athletics,4x100m relay,"KRYLOV, Vladimir",Men,URS,Soviet Union,M,Gold +Seoul,1988,Athletics,Athletics,javelin throw,"KOCH, Beate",Women,GDR,East Germany,W,Bronze +Seoul,1988,Athletics,Athletics,3000m,"MURRAY, Yvonne",Women,GBR,United Kingdom,W,Bronze +Seoul,1988,Athletics,Athletics,5000m,"BAUMANN, Dieter",Men,FRG,West Germany,M,Silver +Seoul,1988,Athletics,Athletics,100m hurdles,"SIEBERT, Gloria",Women,GDR,East Germany,W,Silver +Seoul,1988,Athletics,Athletics,4x100m relay,"BRYZGIN, Viktor",Men,URS,Soviet Union,M,Gold +Seoul,1988,Athletics,Athletics,400m,"BRYZGINA, Olga",Women,URS,Soviet Union,W,Gold +Seoul,1988,Athletics,Athletics,heptathlon,"JOYNER-KERSEE, Jackie",Women,USA,United States,W,Gold +Seoul,1988,Athletics,Athletics,4x100m relay,"MURAVYOV, Vladimir",Men,URS,Soviet Union,M,Gold +Seoul,1988,Athletics,Athletics,3000m steeplechase,"KOECH, Peter",Men,KEN,Kenya,M,Silver +Seoul,1988,Athletics,Athletics,4x400m relay,"BRISCO-HOOKS, Valerie Ann",Women,USA,United States,W,Silver +Seoul,1988,Athletics,Athletics,100m,"CHRISTIE, Linford",Men,GBR,United Kingdom,M,Silver +Seoul,1988,Athletics,Athletics,200m,"DELOACH, Joseph Nathaniel Jr.",Men,USA,United States,M,Gold +Seoul,1988,Athletics,Athletics,marathon,"AHMED SALAH, Hussein",Men,DJI,Djibouti,M,Bronze +Seoul,1988,Athletics,Athletics,high jump,"AVDEENKO, Gennadi",Men,URS,Soviet Union,M,Gold +Seoul,1988,Athletics,Athletics,20km walk,"PRIBILINEC, Jozef",Men,TCH,Czechoslovakia,M,Gold +Seoul,1988,Athletics,Athletics,400m,"REYNOLDS, Harry Butch .",Men,USA,United States,M,Silver +Seoul,1988,Athletics,Athletics,high jump,"BYKOVA, Tamara",Women,URS,Soviet Union,W,Bronze +Seoul,1988,Athletics,Athletics,high jump,"SJÖBERG, Patrick",Men,SWE,Sweden,M,Bronze +Seoul,1988,Athletics,Athletics,400m hurdles,"DIA BA, El Hadji Amadou",Men,SEN,Senegal,M,Silver +Seoul,1988,Athletics,Athletics,10000m,"ZHUPEEVA, Elena",Women,URS,Soviet Union,W,Bronze +Seoul,1988,Athletics,Athletics,200m,"GRIFFITH-JOYNER, Florence",Women,USA,United States,W,Gold +Seoul,1988,Athletics,Athletics,4x100m relay,"GRIFFITH-JOYNER, Florence",Women,USA,United States,W,Gold +Seoul,1988,Athletics,Athletics,3000m steeplechase,"KARIUKI, Julius",Men,KEN,Kenya,M,Gold +Seoul,1988,Athletics,Athletics,10000m,"BONDARENKO, Olga",Women,URS,Soviet Union,W,Gold +Seoul,1988,Athletics,Athletics,4x100m relay,"SANGOUMA, Daniel",Men,FRA,France,M,Bronze +Seoul,1988,Athletics,Athletics,4x400m relay,"ROBINZINE, Kevin Bernard",Men,USA,United States,M,Gold +Seoul,1988,Athletics,Athletics,3000m,"IVAN, Paula",Women,ROU,Romania,W,Silver +Seoul,1988,Athletics,Athletics,shot put,"GÜNTHÖR, Werner",Men,SUI,Switzerland,M,Bronze +Seoul,1988,Athletics,Athletics,javelin throw,"FELKE-MEIER, Petra",Women,GDR,East Germany,W,Gold +Seoul,1988,Athletics,Athletics,1500m,"SAMOLENKO-DOROVSKIKH, Tatyana",Women,URS,Soviet Union,W,Bronze +Seoul,1988,Athletics,Athletics,50km walk,"IVANENKO, Vyacheslav",Men,URS,Soviet Union,M,Gold +Seoul,1988,Athletics,Athletics,1500m,"BAIKAUSKAITE, Lailute",Women,URS,Soviet Union,W,Silver +Seoul,1988,Athletics,Athletics,high jump,"POVARNITSIN, Rudolf",Men,URS,Soviet Union,M,Bronze +Seoul,1988,Athletics,Athletics,discus throw,"SCHULT, Jürgen",Men,GDR,East Germany,M,Gold +Seoul,1988,Athletics,Athletics,hammer throw,"SEDYKH, Yuri",Men,URS,Soviet Union,M,Silver +Seoul,1988,Athletics,Athletics,400m hurdles,"FIEDLER, Ellen",Women,GDR,East Germany,W,Bronze +Seoul,1988,Athletics,Athletics,discus throw,"GANSKY, Diana",Women,GDR,East Germany,W,Silver +Seoul,1988,Athletics,Athletics,4x400m relay,"BUSCH, Sabine",Women,GDR,East Germany,W,Bronze +Seoul,1988,Athletics,Athletics,marathon,"WAKIIHURI, Douglas",Men,KEN,Kenya,M,Silver +Seoul,1988,Athletics,Athletics,100m,"SMITH, Calvin",Men,USA,United States,M,Bronze +Seoul,1988,Athletics,Athletics,shot put,"NEIMKE, Kathrin",Women,GDR,East Germany,W,Silver +Seoul,1988,Athletics,Athletics,200m,"DA SILVA, Robson",Men,BRA,Brazil,M,Bronze +Seoul,1988,Basketball,Basketball,basketball,"LAKIC, Mara",Women,YUG,Yugoslavia,W,Silver +Seoul,1988,Basketball,Basketball,basketball,"SABONIS, Arvydas",Men,URS,Soviet Union,M,Gold +Seoul,1988,Basketball,Basketball,basketball,"DONOVAN, Anne Theresa",Women,USA,United States,W,Gold +Seoul,1988,Basketball,Basketball,basketball,"CVJETICANIN, Danko",Men,YUG,Yugoslavia,M,Silver +Seoul,1988,Basketball,Basketball,basketball,"LLOYD, Andrea Lane",Women,USA,United States,W,Gold +Seoul,1988,Basketball,Basketball,basketball,"GORDON, Bridgette C.",Women,USA,United States,W,Gold +Seoul,1988,Basketball,Basketball,basketball,"AUGMON, Stacey O.",Men,USA,United States,M,Bronze +Seoul,1988,Basketball,Basketball,basketball,"BAREL, Olessya",Women,URS,Soviet Union,W,Bronze +Seoul,1988,Basketball,Basketball,basketball,"TIKHONENKO, Valeri",Men,URS,Soviet Union,M,Gold +Seoul,1988,Basketball,Basketball,basketball,"MCCLAIN, Katrina Felicia",Women,USA,United States,W,Gold +Seoul,1988,Basketball,Basketball,basketball,"ARAPOVIC, Franjo",Men,YUG,Yugoslavia,M,Silver +Seoul,1988,Basketball,Basketball,basketball,"MCCONNELL, Suzanne",Women,USA,United States,W,Gold +Seoul,1988,Basketball,Basketball,basketball,"BELOSTENNYI, Aleksandr",Men,URS,Soviet Union,M,Gold +Seoul,1988,Basketball,Basketball,basketball,"BULLETT, Victoria",Women,USA,United States,W,Gold +Seoul,1988,Basketball,Basketball,basketball,"WILD, Eleonora",Women,YUG,Yugoslavia,W,Silver +Seoul,1988,Basketball,Basketball,basketball,"NAKIC, Danira",Women,YUG,Yugoslavia,W,Silver +Seoul,1988,Basketball,Basketball,basketball,"GERLITS, Irina",Women,URS,Soviet Union,W,Bronze +Seoul,1988,Basketball,Basketball,basketball,"MILOSEVIC, Bojana",Women,YUG,Yugoslavia,W,Silver +Seoul,1988,Basketball,Basketball,basketball,"VRANKOVIC, Stojan",Men,YUG,Yugoslavia,M,Silver +Seoul,1988,Basketball,Basketball,basketball,"WEATHERSPOON, Teresa",Women,USA,United States,W,Gold +Seoul,1988,Basketball,Basketball,basketball,"ROBINSON, David Maurice",Men,USA,United States,M,Bronze +Seoul,1988,Basketball,Basketball,basketball,"RICHMOND, Mitchell J.",Men,USA,United States,M,Bronze +Seoul,1988,Basketball,Basketball,basketball,"MIGLIENIKS, Igors",Men,URS,Soviet Union,M,Gold +Seoul,1988,Basketball,Basketball,basketball,"DIVAC, Vladimir",Men,YUG,Yugoslavia,M,Silver +Seoul,1988,Basketball,Basketball,basketball,"SAVITSKAYA, Galina",Women,URS,Soviet Union,W,Bronze +Seoul,1988,Basketball,Basketball,basketball,"ANDERSON, William Lloyd",Men,USA,United States,M,Bronze +Seoul,1988,Basketball,Basketball,basketball,"GOLIC, Sladjana",Women,YUG,Yugoslavia,W,Silver +Seoul,1988,Basketball,Basketball,basketball,"ZASULSKAYA, Natalya",Women,URS,Soviet Union,W,Bronze +Seoul,1988,Basketball,Basketball,basketball,"ARBUTINA, Andjelija",Women,YUG,Yugoslavia,W,Silver +Seoul,1988,Basketball,Basketball,basketball,"DORNIK, Polona",Women,YUG,Yugoslavia,W,Silver +Seoul,1988,Basketball,Basketball,basketball,"OBRADOVIC, Zeljko",Men,YUG,Yugoslavia,M,Silver +Seoul,1988,Basketball,Basketball,basketball,"CUTURA, Zoran",Men,YUG,Yugoslavia,M,Silver +Seoul,1988,Basketball,Basketball,basketball,"GRAYER, Jeffrey",Men,USA,United States,M,Bronze +Seoul,1988,Basketball,Basketball,basketball,"LELAS, Zana",Women,YUG,Yugoslavia,W,Silver +Seoul,1988,Basketball,Basketball,basketball,"KUKOC, Toni",Men,YUG,Yugoslavia,M,Silver +Seoul,1988,Basketball,Basketball,basketball,"GILLOM, Jennifer",Women,USA,United States,W,Gold +Seoul,1988,Basketball,Basketball,basketball,"KHOMICHUS, Valdemaras",Men,URS,Soviet Union,M,Gold +Seoul,1988,Basketball,Basketball,basketball,"SOOK, Tiit",Men,URS,Soviet Union,M,Gold +Seoul,1988,Basketball,Basketball,basketball,"GOBOROV, Valeri",Men,URS,Soviet Union,M,Gold +Seoul,1988,Basketball,Basketball,basketball,"COOPER, Cynthia Lynne",Women,USA,United States,W,Gold +Seoul,1988,Basketball,Basketball,basketball,"BAJKUSA, Vesna",Women,YUG,Yugoslavia,W,Silver +Seoul,1988,Basketball,Basketball,basketball,"ZDOVC, Juri",Men,YUG,Yugoslavia,M,Silver +Seoul,1988,Basketball,Basketball,basketball,"MUJANOVIC, Razija",Women,YUG,Yugoslavia,W,Silver +Seoul,1988,Basketball,Basketball,basketball,"KVESIC, Kornelija",Women,YUG,Yugoslavia,W,Silver +Seoul,1988,Basketball,Basketball,basketball,"REID, Herman J.R. Jr.",Men,USA,United States,M,Bronze +Seoul,1988,Basketball,Basketball,basketball,"RADJA, Dino",Men,YUG,Yugoslavia,M,Silver +Seoul,1988,Basketball,Basketball,basketball,"EDWARDS, Teresa",Women,USA,United States,W,Gold +Seoul,1988,Basketball,Basketball,basketball,"TARAKANOV, Sergei",Men,URS,Soviet Union,M,Gold +Seoul,1988,Basketball,Basketball,basketball,"LEONOVA, Aleksandra",Women,URS,Soviet Union,W,Bronze +Seoul,1988,Basketball,Basketball,basketball,"RADULOVIC, Zdravko",Men,YUG,Yugoslavia,M,Silver +Seoul,1988,Basketball,Basketball,basketball,"KUDASHOVA, Elena",Women,URS,Soviet Union,W,Bronze +Seoul,1988,Basketball,Basketball,basketball,"VANGELOVSKA, Stojna",Women,YUG,Yugoslavia,W,Silver +Seoul,1988,Basketball,Basketball,basketball,"MINKH, Irina",Women,URS,Soviet Union,W,Bronze +Seoul,1988,Basketball,Basketball,basketball,"COLES, Vernell E.",Men,USA,United States,M,Bronze +Seoul,1988,Basketball,Basketball,basketball,"SUMNIKOVA, Irina",Women,URS,Soviet Union,W,Bronze +Seoul,1988,Basketball,Basketball,basketball,"PASPALJ, Zarko",Men,YUG,Yugoslavia,M,Silver +Seoul,1988,Basketball,Basketball,basketball,"MARCHULENIS, Raimundas",Men,URS,Soviet Union,M,Gold +Seoul,1988,Basketball,Basketball,basketball,"MANNING, Danniel Ricardo",Men,USA,United States,M,Bronze +Seoul,1988,Basketball,Basketball,basketball,"SMITH, Charles Daniel",Men,USA,United States,M,Bronze +Seoul,1988,Basketball,Basketball,basketball,"PANKRASHKIN, Viktor",Men,URS,Soviet Union,M,Gold +Seoul,1988,Basketball,Basketball,basketball,"BROWN, Cynthia Louise",Women,USA,United States,W,Gold +Seoul,1988,Basketball,Basketball,basketball,"YAKOVLEVA, Olga",Women,URS,Soviet Union,W,Bronze +Seoul,1988,Basketball,Basketball,basketball,"PETROVIC, Drazen",Men,YUG,Yugoslavia,M,Silver +Seoul,1988,Basketball,Basketball,basketball,"SMITH, Charles Edward Iv",Men,USA,United States,M,Bronze +Seoul,1988,Basketball,Basketball,basketball,"KURTINAITIS, Rimas",Men,URS,Soviet Union,M,Gold +Seoul,1988,Basketball,Basketball,basketball,"HAWKINS, Hersey",Men,USA,United States,M,Bronze +Seoul,1988,Basketball,Basketball,basketball,"VOLKOV, Aleksandr",Men,URS,Soviet Union,M,Gold +Seoul,1988,Basketball,Basketball,basketball,"TUOMAITE, Vitaliya",Women,URS,Soviet Union,W,Bronze +Seoul,1988,Basketball,Basketball,basketball,"ETHRIDGE, Mary Camille",Women,USA,United States,W,Gold +Seoul,1988,Basketball,Basketball,basketball,"ZHEVKOVA, Olga",Women,URS,Soviet Union,W,Bronze +Seoul,1988,Basketball,Basketball,basketball,"BURYAKINA, Olga",Women,URS,Soviet Union,W,Bronze +Seoul,1988,Basketball,Basketball,basketball,"MAJERLE, Daniel Lewis",Men,USA,United States,M,Bronze +Seoul,1988,Boxing,Boxing,81 - 91kg (heavyweight),"MERCER, Raymond A.",Men,USA,United States,M,Gold +Seoul,1988,Boxing,Boxing,60 - 63.5kg (light-welterweight),"MYRBERG, Lars",Men,SWE,Sweden,M,Bronze +Seoul,1988,Boxing,Boxing,51 - 54kg (bantamweight),"JULIO ROCHA, Jorge Eliecer",Men,COL,Colombia,M,Bronze +Seoul,1988,Boxing,Boxing,75 - 81kg (light-heavyweight),"SHANAVAZOV, Nurmagomed",Men,URS,Soviet Union,M,Silver +Seoul,1988,Boxing,Boxing,67 - 71kg (light-middleweight),"PARK, Si-Hun",Men,KOR,"Korea, South",M,Gold +Seoul,1988,Boxing,Boxing,57 - 60kg (lightweight),"ELLIS, Romallis",Men,USA,United States,M,Bronze +Seoul,1988,Boxing,Boxing,60 - 63.5kg (light-welterweight),"YANOVSKI, Vyacheslav",Men,URS,Soviet Union,M,Gold +Seoul,1988,Boxing,Boxing,54 - 57kg (featherweight),"LEE, Jae-Hyuk",Men,KOR,"Korea, South",M,Bronze +Seoul,1988,Boxing,Boxing,63.5 - 67kg (welterweight),"DYDAK, Jan",Men,POL,Poland,M,Bronze +Seoul,1988,Boxing,Boxing,81 - 91kg (heavyweight),"GOLOTA, Andrzej",Men,POL,Poland,M,Bronze +Seoul,1988,Boxing,Boxing,- 48kg (light-flyweight),"SERANTES, Leopoldo",Men,PHI,Philippines,M,Bronze +Seoul,1988,Boxing,Boxing,- 48kg (light-flyweight),"CARBAJAL, Michael",Men,USA,United States,M,Silver +Seoul,1988,Boxing,Boxing,71-75kg,"SANDE, Christopher",Men,KEN,Kenya,M,Bronze +Seoul,1988,Boxing,Boxing,48 - 51kg (flyweight),"GONZALEZ, Mario",Men,MEX,Mexico,M,Bronze +Seoul,1988,Boxing,Boxing,63.5 - 67kg (welterweight),"WANGILA, Robert",Men,KEN,Kenya,M,Gold +Seoul,1988,Boxing,Boxing,71-75kg,"SYED, Hussain Shah",Men,PAK,Pakistan,M,Bronze +Seoul,1988,Boxing,Boxing,+ 91kg (super heavyweight),"LEWIS, Lennox",Men,CAN,Canada,M,Gold +Seoul,1988,Boxing,Boxing,- 48kg (light-flyweight),"KHRISTOV, Ivailo Marinov",Men,BUL,Bulgaria,M,Gold +Seoul,1988,Boxing,Boxing,51 - 54kg (bantamweight),"KRISTOV, Aleksandar",Men,BUL,Bulgaria,M,Silver +Seoul,1988,Boxing,Boxing,48 - 51kg (flyweight),"SKRYABIN, Timofei",Men,URS,Soviet Union,M,Bronze +Seoul,1988,Boxing,Boxing,48 - 51kg (flyweight),"KIM, Kwang-Sun",Men,KOR,"Korea, South",M,Gold +Seoul,1988,Boxing,Boxing,57 - 60kg (lightweight),"ZÜLOW, Andreas",Men,GDR,East Germany,M,Gold +Seoul,1988,Boxing,Boxing,+ 91kg (super heavyweight),"MIROSHNICHENKO, Aleksandr",Men,URS,Soviet Union,M,Bronze +Seoul,1988,Boxing,Boxing,71-75kg,"MASKE, Henry",Men,GDR,East Germany,M,Gold +Seoul,1988,Boxing,Boxing,63.5 - 67kg (welterweight),"GOULD, Kenneth",Men,USA,United States,M,Bronze +Seoul,1988,Boxing,Boxing,+ 91kg (super heavyweight),"BOWE, Riddick Lamont",Men,USA,United States,M,Silver +Seoul,1988,Boxing,Boxing,67 - 71kg (light-middleweight),"WOODHALL, Richard",Men,GBR,United Kingdom,M,Bronze +Seoul,1988,Boxing,Boxing,54 - 57kg (featherweight),"PARISI, Giovanni",Men,ITA,Italy,M,Gold +Seoul,1988,Boxing,Boxing,51 - 54kg (bantamweight),"MOOLSAN, Phajol",Men,THA,Thailand,M,Bronze +Seoul,1988,Boxing,Boxing,57 - 60kg (lightweight),"CRAMNE, George",Men,SWE,Sweden,M,Silver +Seoul,1988,Boxing,Boxing,54 - 57kg (featherweight),"DUMITRESCU, Daniel",Men,ROU,Romania,M,Silver +Seoul,1988,Boxing,Boxing,81 - 91kg (heavyweight),"VANDERLIJDE, Arnold",Men,NED,Netherlands,M,Bronze +Seoul,1988,Boxing,Boxing,48 - 51kg (flyweight),"TEWS, Andreas",Men,GDR,East Germany,M,Silver +Seoul,1988,Boxing,Boxing,+ 91kg (super heavyweight),"ZARENKIEWICZ, Janusz",Men,POL,Poland,M,Bronze +Seoul,1988,Boxing,Boxing,51 - 54kg (bantamweight),"MCKINNEY, Kennedy",Men,USA,United States,M,Gold +Seoul,1988,Boxing,Boxing,60 - 63.5kg (light-welterweight),"CHENEY, Grahame",Men,AUS,Australia,M,Silver +Seoul,1988,Boxing,Boxing,57 - 60kg (lightweight),"ENKHBAT, Nerguy",Men,MGL,Mongolia,M,Bronze +Seoul,1988,Boxing,Boxing,67 - 71kg (light-middleweight),"DOWNEY, Raymond Tyler",Men,CAN,Canada,M,Bronze +Seoul,1988,Boxing,Boxing,60 - 63.5kg (light-welterweight),"GIES, Reiner",Men,FRG,West Germany,M,Bronze +Seoul,1988,Boxing,Boxing,75 - 81kg (light-heavyweight),"PETRICH, Henryk",Men,POL,Poland,M,Bronze +Seoul,1988,Boxing,Boxing,- 48kg (light-flyweight),"ISASZEGI, Robert",Men,HUN,Hungary,M,Bronze +Seoul,1988,Boxing,Boxing,63.5 - 67kg (welterweight),"BOUDOUANI, Laurent",Men,FRA,France,M,Silver +Seoul,1988,Boxing,Boxing,67 - 71kg (light-middleweight),"JONES, Roy L. Ilnd",Men,USA,United States,M,Silver +Seoul,1988,Boxing,Boxing,75 - 81kg (light-heavyweight),"SKARO, Damir",Men,YUG,Yugoslavia,M,Bronze +Seoul,1988,Boxing,Boxing,71-75kg,"MARCUS, Egerton",Men,CAN,Canada,M,Silver +Seoul,1988,Boxing,Boxing,75 - 81kg (light-heavyweight),"MAYNARD, Andrew Lester",Men,USA,United States,M,Gold +Seoul,1988,Boxing,Boxing,81 - 91kg (heavyweight),"BAIK, Hyun-Man",Men,KOR,"Korea, South",M,Silver +Seoul,1988,Boxing,Boxing,54 - 57kg (featherweight),"ACHIK, Abdelhak",Men,MAR,Morocco,M,Bronze +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"FOSTER, Peter",Men,AUS,Australia,M,Bronze +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"GYULAY, Zsolt",Men,HUN,Hungary,M,Gold +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"BLUHM, Kay",Men,GDR,East Germany,M,Bronze +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"JURAVSCHI, Nikolai",Men,URS,Soviet Union,M,Gold +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"GUECHEVA, Vania",Women,BUL,Bulgaria,W,Bronze +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"FERGUSON, Ian Gordon",Men,NZL,New Zealand,M,Silver +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"STAHLE, Andreas",Men,GDR,East Germany,M,Bronze +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"BELLINGHAM, Norman Dean",Men,USA,United States,M,Gold +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,K-1 1000m (kayak single),"WOHLLEBE, Andre",Men,GDR,East Germany,M,Bronze +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"FISCHER, Birgit",Women,GDR,East Germany,W,Silver +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"SINGER, Heike",Women,GDR,East Germany,W,Gold +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"PALIISKA, Diana",Women,BUL,Bulgaria,W,Silver +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"GYULAY, Zsolt",Men,HUN,Hungary,M,Gold +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,K-1 1000m (kayak single),"BARTON, Gregory Mark",Men,USA,United States,M,Gold +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"FISCHER, Birgit",Women,GDR,East Germany,W,Gold +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"HEUKRODT, Olaf",Men,GDR,East Germany,M,Silver +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"MOTUZENKO, Aleksandr",Men,URS,Soviet Union,M,Silver +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"ABRAHAM, Attila",Men,HUN,Hungary,M,Bronze +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,C-1 500m (canoe single),"SLIWINSKI, Michal",Men,URS,Soviet Union,M,Silver +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"MAC DONALD, Christopher Paul",Men,NZL,New Zealand,M,Gold +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"RENEYSKIY, Viktor",Men,URS,Soviet Union,M,Gold +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"CSIPES, Ferenc",Men,HUN,Hungary,M,Gold +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"FISCHER, Birgit",Women,GDR,East Germany,W,Gold +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"LBIK, Marek",Men,POL,Poland,M,Silver +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"MAC DONALD, Christopher Paul",Men,NZL,New Zealand,M,Bronze +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,C-1 1000m (canoe single),"KLEMENTYEV, Ivans",Men,URS,Soviet Union,M,Gold +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"DENISOV, Victor",Men,URS,Soviet Union,M,Silver +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"NOTHNAGEL-VON SECK, Anke",Women,GDR,East Germany,W,Gold +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"BARTON, Gregory Mark",Men,USA,United States,M,Gold +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"NAGAEV, Igor",Men,URS,Soviet Union,M,Silver +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"ABRAHAM, Attila",Men,HUN,Hungary,M,Gold +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"COX, Annemarie",Women,NED,Netherlands,W,Bronze +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"RENEYSKIY, Viktor",Men,URS,Soviet Union,M,Gold +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"DENISOV, Victor",Men,URS,Soviet Union,M,Silver +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"GUECHEVA, Vania",Women,BUL,Bulgaria,W,Silver +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"PETKOVA, Ogniana",Women,BUL,Bulgaria,W,Bronze +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"NOTHNAGEL-VON SECK, Anke",Women,GDR,East Germany,W,Gold +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"RAKUSZ, Eva",Women,HUN,Hungary,W,Silver +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"DOPIERALA, Marek",Men,POL,Poland,M,Bronze +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"PORTWICH, Ramona",Women,GDR,East Germany,W,Gold +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"GUECHEVA, Vania",Women,BUL,Bulgaria,W,Gold +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"MAC DONALD, Christopher Paul",Men,NZL,New Zealand,M,Silver +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"LBIK, Marek",Men,POL,Poland,M,Bronze +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"SPELLY, Ingo",Men,GDR,East Germany,M,Silver +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"MESZAROS, Erika",Women,HUN,Hungary,W,Silver +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"RENAUD, Philippe",Men,FRA,France,M,Bronze +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"FERGUSON, Ian Gordon",Men,NZL,New Zealand,M,Gold +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,C-1 1000m (canoe single),"SCHMIDT, Jorg",Men,GDR,East Germany,M,Silver +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"BLIESENER, Hans-Jorg",Men,GDR,East Germany,M,Bronze +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"DOPIERALA, Marek",Men,POL,Poland,M,Silver +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"BETTIN, Joel",Men,FRA,France,M,Bronze +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"JURAVSCHI, Nikolai",Men,URS,Soviet Union,M,Gold +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,C-1 500m (canoe single),"MARINOV, Martin Guerguiev",Men,BUL,Bulgaria,M,Bronze +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,C-1 1000m (canoe single),"BUKHALOV, Nikolai Petkov",Men,BUL,Bulgaria,M,Bronze +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"KIRSANOV, Sergei",Men,URS,Soviet Union,M,Silver +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"STAHLE, Andreas",Men,GDR,East Germany,M,Silver +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"HODOSI, Sandor",Men,HUN,Hungary,M,Gold +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"PALIISKA, Diana",Women,BUL,Bulgaria,W,Bronze +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"DERCKX, Annemarie",Women,NED,Netherlands,W,Bronze +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"GRAHAM, Kelvin John",Men,AUS,Australia,M,Bronze +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"CSIPES, Ferenc",Men,HUN,Hungary,M,Bronze +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"IVANOVA-MILKOVA, Borislava",Women,BUL,Bulgaria,W,Bronze +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"KOBAN, Rita",Women,HUN,Hungary,W,Silver +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,K-1 1000m (kayak single),"DAVIES, Grant",Men,AUS,Australia,M,Silver +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"GECZI, Erika",Women,HUN,Hungary,W,Silver +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"WOHLLEBE, Andre",Men,GDR,East Germany,M,Bronze +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"NAGAEV, Igor",Men,URS,Soviet Union,M,Silver +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,C-1 500m (canoe single),"HEUKRODT, Olaf",Men,GDR,East Germany,M,Gold +Seoul,1988,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"DYLEWSKA, Izabela",Women,POL,Poland,W,Bronze +Seoul,1988,Cycling,Cycling Road,team time trial,"SYPYTKOWSKI, Andrzej",Men,POL,Poland,M,Silver +Seoul,1988,Cycling,Cycling Road,team time trial,"JOHANSSON, Bjorn",Men,SWE,Sweden,M,Bronze +Seoul,1988,Cycling,Cycling Road,team time trial,"LESNIEWSKI, Marek",Men,POL,Poland,M,Silver +Seoul,1988,Cycling,Cycling Road,team time trial,"JARL, Anders",Men,SWE,Sweden,M,Bronze +Seoul,1988,Cycling,Cycling Road,team time trial,"SCHUR, Jan",Men,GDR,East Germany,M,Gold +Seoul,1988,Cycling,Cycling Road,team time trial,"LANDSMANN, Maik",Men,GDR,East Germany,M,Gold +Seoul,1988,Cycling,Cycling Road,individual road race,"GRONE, Bernd",Men,FRG,West Germany,M,Silver +Seoul,1988,Cycling,Cycling Road,individual road race,"HENN, Christian",Men,FRG,West Germany,M,Bronze +Seoul,1988,Cycling,Cycling Road,team time trial,"KARLSSON, Jan",Men,SWE,Sweden,M,Bronze +Seoul,1988,Cycling,Cycling Road,team time trial,"KUMMER, Mario",Men,GDR,East Germany,M,Gold +Seoul,1988,Cycling,Cycling Road,team time trial,"AMPLER, Uwe",Men,GDR,East Germany,M,Gold +Seoul,1988,Cycling,Cycling Road,team time trial,"JASKULA, Zenon",Men,POL,Poland,M,Silver +Seoul,1988,Cycling,Cycling Road,individual road race,"NIEHAUS, Judith",Women,FRG,West Germany,W,Silver +Seoul,1988,Cycling,Cycling Road,team time trial,"HALUPCZOK, Joachim",Men,POL,Poland,M,Silver +Seoul,1988,Cycling,Cycling Road,individual road race,"LUDWIG, Olaf",Men,GDR,East Germany,M,Gold +Seoul,1988,Cycling,Cycling Road,team time trial,"LAFIS, Michel",Men,SWE,Sweden,M,Bronze +Seoul,1988,Cycling,Cycling Road,individual road race,"ZILPORYTE, Laima",Women,URS,Soviet Union,W,Bronze +Seoul,1988,Cycling,Cycling Road,individual road race,"KNOL, Monique",Women,NED,Netherlands,W,Gold +Seoul,1988,Cycling,Cycling Track,Team Pursuit (4000m),"MEIER, Dirk",Men,GDR,East Germany,M,Silver +Seoul,1988,Cycling,Cycling Track,Individual Pursuit,"UMARAS, Gintautas",Men,URS,Soviet Union,M,Gold +Seoul,1988,Cycling,Cycling Track,Individual Pursuit,"WOODS, Dean",Men,AUS,Australia,M,Silver +Seoul,1988,Cycling,Cycling Track,Team Pursuit (4000m),"NELYUBIN, Dmitri",Men,URS,Soviet Union,M,Gold +Seoul,1988,Cycling,Cycling Track,Team Pursuit (4000m),"HENNIG, Roland",Men,GDR,East Germany,M,Silver +Seoul,1988,Cycling,Cycling Track,Points Race,"PEELEN, Leo",Men,NED,Netherlands,M,Silver +Seoul,1988,Cycling,Cycling Track,Team Pursuit (4000m),"WOLF, Carsten",Men,GDR,East Germany,M,Silver +Seoul,1988,Cycling,Cycling Track,Points Race,"FROST, Dan",Men,DEN,Denmark,M,Gold +Seoul,1988,Cycling,Cycling Track,Individual Pursuit,"DITTERT, Bernd",Men,GDR,East Germany,M,Bronze +Seoul,1988,Cycling,Cycling Track,Team Pursuit (4000m),"BLOCHWITZ, Steffen",Men,GDR,East Germany,M,Silver +Seoul,1988,Cycling,Cycling Track,Points Race,"GANEEV, Marat",Men,URS,Soviet Union,M,Bronze +Seoul,1988,Cycling,Cycling Track,Team Pursuit (4000m),"KASPUTIS, Arturas",Men,URS,Soviet Union,M,Gold +Seoul,1988,Cycling,Cycling Track,1km time trial,"VINNICOMBE, Martin",Men,AUS,Australia,M,Silver +Seoul,1988,Cycling,Cycling Track,Team Pursuit (4000m),"EKIMOV, Vyacheslav",Men,URS,Soviet Union,M,Gold +Seoul,1988,Cycling,Cycling Track,sprint,"LUDING, Christa",Women,GDR,East Germany,W,Silver +Seoul,1988,Cycling,Cycling Track,Team Pursuit (4000m),"UMARAS, Gintautas",Men,URS,Soviet Union,M,Gold +Seoul,1988,Cycling,Cycling Track,Team Pursuit (4000m),"DUTTON, Brett",Men,AUS,Australia,M,Bronze +Seoul,1988,Cycling,Cycling Track,Sprint indivual,"NEIWAND, Garry Malcolm",Men,AUS,Australia,M,Bronze +Seoul,1988,Cycling,Cycling Track,1km time trial,"LECHNER, Robert",Men,FRG,West Germany,M,Bronze +Seoul,1988,Cycling,Cycling Track,Team Pursuit (4000m),"MCCARNEY, Wayne",Men,AUS,Australia,M,Bronze +Seoul,1988,Cycling,Cycling Track,sprint,"SALUMAE, Erika",Women,URS,Soviet Union,W,Gold +Seoul,1988,Cycling,Cycling Track,Sprint indivual,"KOVSH, Nikolai",Men,URS,Soviet Union,M,Silver +Seoul,1988,Cycling,Cycling Track,1km time trial,"KIRICHENKO, Aleksandr",Men,URS,Soviet Union,M,Gold +Seoul,1988,Cycling,Cycling Track,Sprint indivual,"HESSLICH, Lutz",Men,GDR,East Germany,M,Gold +Seoul,1988,Cycling,Cycling Track,Team Pursuit (4000m),"MCGLEDE, Stephen John",Men,AUS,Australia,M,Bronze +Seoul,1988,Cycling,Cycling Track,sprint,"PARASKEVIN-YOUNG, Connie",Women,USA,United States,W,Bronze +Seoul,1988,Cycling,Cycling Track,Team Pursuit (4000m),"WOODS, Dean",Men,AUS,Australia,M,Bronze +Seoul,1988,Equestrian,Dressage,team,"HOFER, Otto Josef",Men,SUI,Switzerland,X,Silver +Seoul,1988,Equestrian,Dressage,team,"TEODORESCU, Monica",Women,FRG,West Germany,X,Gold +Seoul,1988,Equestrian,Dressage,team,"NICOLL, Ashley",Men,CAN,Canada,X,Bronze +Seoul,1988,Equestrian,Dressage,team,"SCHATZMANN, Samuel",Men,SUI,Switzerland,X,Silver +Seoul,1988,Equestrian,Dressage,team,"PRACHT, Eva Maria",Women,CAN,Canada,X,Bronze +Seoul,1988,Equestrian,Dressage,team,"RAMSEIER, Daniel",Men,SUI,Switzerland,X,Silver +Seoul,1988,Equestrian,Dressage,team,"LINSENHOFF, Ann-Kathrin",Women,FRG,West Germany,X,Gold +Seoul,1988,Equestrian,Dressage,individual,"UPHOFF-BECKER, Nicole",Women,FRG,West Germany,X,Gold +Seoul,1988,Equestrian,Dressage,team,"NEALE-ISHOY, Cynthia Margaret",Women,CAN,Canada,X,Bronze +Seoul,1988,Equestrian,Dressage,team,"UPHOFF-BECKER, Nicole",Women,FRG,West Germany,X,Gold +Seoul,1988,Equestrian,Dressage,individual,"STUECKELBERGER, Christine",Women,SUI,Switzerland,X,Bronze +Seoul,1988,Equestrian,Dressage,team,"KLIMKE, Reiner",Men,FRG,West Germany,X,Gold +Seoul,1988,Equestrian,Dressage,team,"STUECKELBERGER, Christine",Women,SUI,Switzerland,X,Silver +Seoul,1988,Equestrian,Dressage,team,"SMITH, Gina",Women,CAN,Canada,X,Bronze +Seoul,1988,Equestrian,Dressage,individual,"OTTO-CREPIN, Margit",Women,FRA,France,X,Silver +Seoul,1988,Equestrian,Eventing,team,"STRAKER, Karen",Women,GBR,United Kingdom,X,Silver +Seoul,1988,Equestrian,Eventing,team,"HOLGATE-LENG, Virginia",Women,GBR,United Kingdom,X,Silver +Seoul,1988,Equestrian,Eventing,team,"ERHORN, Claus",Men,FRG,West Germany,X,Gold +Seoul,1988,Equestrian,Eventing,team,"KNIGHTON, Margaret",Women,NZL,New Zealand,X,Bronze +Seoul,1988,Equestrian,Eventing,team,"TODD, Mark",Men,NZL,New Zealand,X,Bronze +Seoul,1988,Equestrian,Eventing,team,"BENNIE, Andrew",Men,NZL,New Zealand,X,Bronze +Seoul,1988,Equestrian,Eventing,team,"BAUMANN, Matthias Andreas",Men,FRG,West Germany,X,Gold +Seoul,1988,Equestrian,Eventing,individual,"STARK, Ian",Men,GBR,United Kingdom,X,Silver +Seoul,1988,Equestrian,Eventing,team,"POTTINGER, Tinks",Women,NZL,New Zealand,X,Bronze +Seoul,1988,Equestrian,Eventing,team,"STARK, Ian",Men,GBR,United Kingdom,X,Silver +Seoul,1988,Equestrian,Eventing,team,"PHILLIPS, Mark Anthony Peter",Men,GBR,United Kingdom,X,Silver +Seoul,1988,Equestrian,Eventing,individual,"TODD, Mark",Men,NZL,New Zealand,X,Gold +Seoul,1988,Equestrian,Eventing,individual,"HOLGATE-LENG, Virginia",Women,GBR,United Kingdom,X,Bronze +Seoul,1988,Equestrian,Eventing,team,"EHRENBRINK, Ralf",Men,FRG,West Germany,X,Gold +Seoul,1988,Equestrian,Eventing,team,"KASPAREIT, Thies",Men,FRG,West Germany,X,Gold +Seoul,1988,Equestrian,Jumping,team,"JACQUIN, Lisa Ann",Women,USA,United States,X,Silver +Seoul,1988,Equestrian,Jumping,individual,"BEST, Gregory Alan",Men,USA,United States,X,Silver +Seoul,1988,Equestrian,Jumping,team,"ROBERT, Michel",Men,FRA,France,X,Bronze +Seoul,1988,Equestrian,Jumping,team,"BRINKMANN, Wolfgang",Men,FRG,West Germany,X,Gold +Seoul,1988,Equestrian,Jumping,team,"COTTIER, Frederic",Men,FRA,France,X,Bronze +Seoul,1988,Equestrian,Jumping,team,"SLOOTHAAK, Franke",Men,FRG,West Germany,X,Gold +Seoul,1988,Equestrian,Jumping,team,"BEST, Gregory Alan",Men,USA,United States,X,Silver +Seoul,1988,Equestrian,Jumping,team,"DURAND JR., Pierre",Men,FRA,France,X,Bronze +Seoul,1988,Equestrian,Jumping,team,"BOURDY, Hubert",Men,FRA,France,X,Bronze +Seoul,1988,Equestrian,Jumping,team,"BEERBAUM, Ludger",Men,FRG,West Germany,X,Gold +Seoul,1988,Equestrian,Jumping,team,"KURSINSKI, Anne Kindig",Women,USA,United States,X,Silver +Seoul,1988,Equestrian,Jumping,individual,"DURAND JR., Pierre",Men,FRA,France,X,Gold +Seoul,1988,Equestrian,Jumping,individual,"HUCK, Karsten",Men,FRG,West Germany,X,Bronze +Seoul,1988,Equestrian,Jumping,team,"FARGIS, Joseph Halpin, Iv",Men,USA,United States,X,Silver +Seoul,1988,Equestrian,Jumping,team,"HAFEMEISTER, Dirk",Men,FRG,West Germany,X,Gold +Seoul,1988,Fencing,Fencing,foil team,"APTIAOURI, Vladimir",Men,URS,Soviet Union,M,Gold +Seoul,1988,Fencing,Fencing,foil team,"ERSEK, Zsolt",Men,HUN,Hungary,M,Bronze +Seoul,1988,Fencing,Fencing,épée team,"BORRMANN, Elmar",Men,FRG,West Germany,M,Silver +Seoul,1988,Fencing,Fencing,foil team,"GATAI, Robert",Men,HUN,Hungary,M,Bronze +Seoul,1988,Fencing,Fencing,foil team,"SCHRECK, Ulrich Rainer",Men,FRG,West Germany,M,Silver +Seoul,1988,Fencing,Fencing,épée team,"PUSCH, Alexander",Men,FRG,West Germany,M,Silver +Seoul,1988,Fencing,Fencing,foil team,"STEFANEK, Gertrud",Women,HUN,Hungary,W,Bronze +Seoul,1988,Fencing,Fencing,foil team,"GEY, Matthias",Men,FRG,West Germany,M,Silver +Seoul,1988,Fencing,Fencing,foil individual,"CERIONI, Stefano",Men,ITA,Italy,M,Gold +Seoul,1988,Fencing,Fencing,foil team,"IBRAGUIMOV, Anvar",Men,URS,Soviet Union,M,Gold +Seoul,1988,Fencing,Fencing,foil team,"FUNKENHAUSER, Zita-Eva",Women,FRG,West Germany,W,Gold +Seoul,1988,Fencing,Fencing,foil team,"ENDRES, Thomas",Men,FRG,West Germany,M,Silver +Seoul,1988,Fencing,Fencing,sabre team,"MEGLIO, Ferdinando",Men,ITA,Italy,M,Bronze +Seoul,1988,Fencing,Fencing,épée individual,"SCHMITT, Arnd Rüdiger",Men,FRG,West Germany,M,Gold +Seoul,1988,Fencing,Fencing,épée team,"REZNITCHENKO, Vladimir",Men,URS,Soviet Union,M,Bronze +Seoul,1988,Fencing,Fencing,sabre team,"BUJDOSO, Imre",Men,HUN,Hungary,M,Gold +Seoul,1988,Fencing,Fencing,épée team,"TIKHOMIROV, Igor",Men,URS,Soviet Union,M,Bronze +Seoul,1988,Fencing,Fencing,foil team,"BAU, Sabine Christiane",Women,FRG,West Germany,W,Gold +Seoul,1988,Fencing,Fencing,sabre team,"MARIN, Marco",Men,ITA,Italy,M,Bronze +Seoul,1988,Fencing,Fencing,foil team,"KORETSKI, Boris",Men,URS,Soviet Union,M,Gold +Seoul,1988,Fencing,Fencing,épée team,"CHOUVALOV, Andrei",Men,URS,Soviet Union,M,Bronze +Seoul,1988,Fencing,Fencing,épée team,"SCHMITT, Arnd Rüdiger",Men,FRG,West Germany,M,Silver +Seoul,1988,Fencing,Fencing,foil team,"KLUG, Anette",Women,FRG,West Germany,W,Gold +Seoul,1988,Fencing,Fencing,foil team,"MAMEDOV, Ilgar",Men,URS,Soviet Union,M,Gold +Seoul,1988,Fencing,Fencing,foil individual,"ROMANKOV, Aleksander",Men,URS,Soviet Union,M,Bronze +Seoul,1988,Fencing,Fencing,sabre individual,"LAMOUR, Jean-Francois",Men,FRA,France,M,Gold +Seoul,1988,Fencing,Fencing,sabre individual,"SCALZO, Giovanni",Men,ITA,Italy,M,Bronze +Seoul,1988,Fencing,Fencing,foil team,"TUSCHAK, Katalin",Women,HUN,Hungary,W,Bronze +Seoul,1988,Fencing,Fencing,épée team,"RIBOUD, Philippe",Men,FRA,France,M,Gold +Seoul,1988,Fencing,Fencing,sabre team,"NEBALD, György",Men,HUN,Hungary,M,Gold +Seoul,1988,Fencing,Fencing,foil team,"SZELEI, Istvan",Men,HUN,Hungary,M,Bronze +Seoul,1988,Fencing,Fencing,foil team,"ZALAFFI, Margherita",Women,ITA,Italy,W,Silver +Seoul,1988,Fencing,Fencing,sabre team,"DALLA BARBA, Gianfranco",Men,ITA,Italy,M,Bronze +Seoul,1988,Fencing,Fencing,foil team,"SZOCS, Zsuzsa",Women,HUN,Hungary,W,Bronze +Seoul,1988,Fencing,Fencing,épée team,"GERULL, Thomas",Men,FRG,West Germany,M,Silver +Seoul,1988,Fencing,Fencing,épée individual,"CHOUVALOV, Andrei",Men,URS,Soviet Union,M,Bronze +Seoul,1988,Fencing,Fencing,sabre team,"SCALZO, Giovanni",Men,ITA,Italy,M,Bronze +Seoul,1988,Fencing,Fencing,épée team,"SRECKI, Eric",Men,FRA,France,M,Gold +Seoul,1988,Fencing,Fencing,foil team,"KOVACS, Edit",Women,HUN,Hungary,W,Bronze +Seoul,1988,Fencing,Fencing,foil individual,"FICHTEL-MAURITZ, Anja",Women,FRG,West Germany,W,Gold +Seoul,1988,Fencing,Fencing,sabre team,"KORYAKIN, Sergei",Men,URS,Soviet Union,M,Silver +Seoul,1988,Fencing,Fencing,épée team,"KOLOBKOV, Pavel",Men,URS,Soviet Union,M,Bronze +Seoul,1988,Fencing,Fencing,sabre team,"GEDOVARI, Imre",Men,HUN,Hungary,M,Gold +Seoul,1988,Fencing,Fencing,foil team,"BUSA, Istvan",Men,HUN,Hungary,M,Bronze +Seoul,1988,Fencing,Fencing,épée team,"HENRY, Jean-Michel",Men,FRA,France,M,Gold +Seoul,1988,Fencing,Fencing,épée team,"LENGLET, Olivier",Men,FRA,France,M,Gold +Seoul,1988,Fencing,Fencing,sabre team,"SZABO, Bence",Men,HUN,Hungary,M,Gold +Seoul,1988,Fencing,Fencing,sabre team,"ALSHAN, Andrei",Men,URS,Soviet Union,M,Silver +Seoul,1988,Fencing,Fencing,foil team,"SZEKERES, Pal",Men,HUN,Hungary,M,Bronze +Seoul,1988,Fencing,Fencing,sabre team,"POGOSSOV, Gueorgui",Men,URS,Soviet Union,M,Silver +Seoul,1988,Fencing,Fencing,sabre team,"MINDIRGASOV, Sergei",Men,URS,Soviet Union,M,Silver +Seoul,1988,Fencing,Fencing,foil team,"WEBER, Christiane",Women,FRG,West Germany,W,Gold +Seoul,1988,Fencing,Fencing,foil team,"JANOSI-NEMETH, Zsuzsanna",Women,HUN,Hungary,W,Bronze +Seoul,1988,Fencing,Fencing,épée team,"TISHKO, Mikhail",Men,URS,Soviet Union,M,Bronze +Seoul,1988,Fencing,Fencing,foil individual,"BAU, Sabine Christiane",Women,FRG,West Germany,W,Silver +Seoul,1988,Fencing,Fencing,foil team,"ROMANKOV, Aleksander",Men,URS,Soviet Union,M,Gold +Seoul,1988,Fencing,Fencing,foil team,"VACCARONI, Dorina",Women,ITA,Italy,W,Silver +Seoul,1988,Fencing,Fencing,foil individual,"WAGNER, Udo",Men,GDR,East Germany,M,Silver +Seoul,1988,Fencing,Fencing,épée individual,"RIBOUD, Philippe",Men,FRA,France,M,Silver +Seoul,1988,Fencing,Fencing,épée team,"DELPLA, Frederic",Men,FRA,France,M,Gold +Seoul,1988,Fencing,Fencing,foil team,"GANDOLFI, Annapia",Women,ITA,Italy,W,Silver +Seoul,1988,Fencing,Fencing,sabre team,"CAVALIERE, Massimo",Men,ITA,Italy,M,Bronze +Seoul,1988,Fencing,Fencing,foil team,"BEHR, Matthias",Men,FRG,West Germany,M,Silver +Seoul,1988,Fencing,Fencing,foil team,"TRAVERSA, Lucia",Women,ITA,Italy,W,Silver +Seoul,1988,Fencing,Fencing,foil individual,"FUNKENHAUSER, Zita-Eva",Women,FRG,West Germany,W,Bronze +Seoul,1988,Fencing,Fencing,sabre individual,"OLECH, Janusz",Men,POL,Poland,M,Silver +Seoul,1988,Fencing,Fencing,épée team,"FISCHER, Volker",Men,FRG,West Germany,M,Silver +Seoul,1988,Fencing,Fencing,foil team,"BORTOLOZZI BORELLA, Francesca",Women,ITA,Italy,W,Silver +Seoul,1988,Fencing,Fencing,sabre team,"CSONGRADI, Laszlo",Men,HUN,Hungary,M,Gold +Seoul,1988,Fencing,Fencing,sabre team,"BURTSEV, Mikhail",Men,URS,Soviet Union,M,Silver +Seoul,1988,Fencing,Fencing,foil team,"FICHTEL-MAURITZ, Anja",Women,FRG,West Germany,W,Gold +Seoul,1988,Fencing,Fencing,foil team,"WEIDNER, Thorsten",Men,FRG,West Germany,M,Silver +Seoul,1988,Football,Football,football,"DOBROVOLSKI, Igor",Men,URS,Soviet Union,M,Gold +Seoul,1988,Football,Football,football,"FERREIRA, Jose",Men,BRA,Brazil,M,Silver +Seoul,1988,Football,Football,football,"KHARIN, Dmitri",Men,URS,Soviet Union,M,Gold +Seoul,1988,Football,Football,football,"ALVES, Aloisio",Men,BRA,Brazil,M,Silver +Seoul,1988,Football,Football,football,"TATARCHUK, Vladimir",Men,URS,Soviet Union,M,Gold +Seoul,1988,Football,Football,football,"FACH, Holger",Men,FRG,West Germany,M,Bronze +Seoul,1988,Football,Football,football,"WALTER, Fritz",Men,FRG,West Germany,M,Bronze +Seoul,1988,Football,Football,football,"BORODYUK, Aleksandr",Men,URS,Soviet Union,M,Gold +Seoul,1988,Football,Football,football,"YAROVENKO, Yevgeni",Men,URS,Soviet Union,M,Gold +Seoul,1988,Football,Football,football,"ANDRADE DA SILVA, Jorge Luiz",Men,BRA,Brazil,M,Silver +Seoul,1988,Football,Football,football,"CANDIDO, Valdo",Men,BRA,Brazil,M,Silver +Seoul,1988,Football,Football,football,"GORLUKOVICH, Sergei",Men,URS,Soviet Union,M,Gold +Seoul,1988,Football,Football,football,"BOMMER, Rudolf",Men,FRG,West Germany,M,Bronze +Seoul,1988,Football,Football,football,"HORSTER, Thomas",Men,FRG,West Germany,M,Bronze +Seoul,1988,Football,Football,football,"SAUER, Gunnar",Men,FRG,West Germany,M,Bronze +Seoul,1988,Football,Football,football,"SANTOS BATISTA, Joao",Men,BRA,Brazil,M,Silver +Seoul,1988,Football,Football,football,"WINCK, Luiz Carlos",Men,BRA,Brazil,M,Silver +Seoul,1988,Football,Football,football,"MERGEN TAFFAREL, Claudio Andre",Men,BRA,Brazil,M,Silver +Seoul,1988,Football,Football,football,"CHEREDNIK, Aleksei",Men,URS,Soviet Union,M,Gold +Seoul,1988,Football,Football,football,"SAVICHEV, Yuri",Men,URS,Soviet Union,M,Gold +Seoul,1988,Football,Football,football,"LOSEV, Viktor",Men,URS,Soviet Union,M,Gold +Seoul,1988,Football,Football,football,"SIEVERS, Ralf",Men,FRG,West Germany,M,Bronze +Seoul,1988,Football,Football,football,"HASSLER, Thomas",Men,FRG,West Germany,M,Bronze +Seoul,1988,Football,Football,football,"PONOMAREV, Igor",Men,URS,Soviet Union,M,Gold +Seoul,1988,Football,Football,football,"YANONIS, Arvidas",Men,URS,Soviet Union,M,Gold +Seoul,1988,Football,Football,football,"DE AMORIM CAMPOS, Jorge",Men,BRA,Brazil,M,Silver +Seoul,1988,Football,Football,football,"PRUDNIKOV, Aleksei",Men,URS,Soviet Union,M,Gold +Seoul,1988,Football,Football,football,"ARAUJO, Jose",Men,BRA,Brazil,M,Silver +Seoul,1988,Football,Football,football,"CRUZ, Andre",Men,BRA,Brazil,M,Silver +Seoul,1988,Football,Football,football,"FUNKEL, Wolfgang",Men,FRG,West Germany,M,Bronze +Seoul,1988,Football,Football,football,"NASCIMENTO, Iomar",Men,BRA,Brazil,M,Silver +Seoul,1988,Football,Football,football,"MIKHAILICHENKO, Aleksei",Men,URS,Soviet Union,M,Gold +Seoul,1988,Football,Football,football,"RECK, Oliver",Men,FRG,West Germany,M,Bronze +Seoul,1988,Football,Football,football,"GRAHAMMER, Roland",Men,FRG,West Germany,M,Bronze +Seoul,1988,Football,Football,football,"RAIMUNDO, Ricardo",Men,BRA,Brazil,M,Silver +Seoul,1988,Football,Football,football,"NARBEKOVAS, Arminas",Men,URS,Soviet Union,M,Gold +Seoul,1988,Football,Football,football,"WUTTKE, Wolfram",Men,FRG,West Germany,M,Bronze +Seoul,1988,Football,Football,football,"SCHULZ, Michael",Men,FRG,West Germany,M,Bronze +Seoul,1988,Football,Football,football,"KAMPS, Uwe",Men,FRG,West Germany,M,Bronze +Seoul,1988,Football,Football,football,"BERNARDES DOS SANTOS, Edmar",Men,BRA,Brazil,M,Silver +Seoul,1988,Football,Football,football,"DONIZETE LUIZ, Sergio",Men,BRA,Brazil,M,Silver +Seoul,1988,Football,Football,football,"RIEDLE, Karlheinz",Men,FRG,West Germany,M,Bronze +Seoul,1988,Football,Football,football,"BEBETO, Jose Roberto",Men,BRA,Brazil,M,Silver +Seoul,1988,Football,Football,football,"KUZNETSOV, Yevgeni",Men,URS,Soviet Union,M,Gold +Seoul,1988,Football,Football,football,"DE SOUZA FARIA, Romario",Men,BRA,Brazil,M,Silver +Seoul,1988,Football,Football,football,"FOKIN, Sergei",Men,URS,Soviet Union,M,Gold +Seoul,1988,Football,Football,football,"TISHCHENKO, Vadim",Men,URS,Soviet Union,M,Gold +Seoul,1988,Football,Football,football,"LYUTYI, Vladimir",Men,URS,Soviet Union,M,Gold +Seoul,1988,Football,Football,football,"MILL, Frank",Men,FRG,West Germany,M,Bronze +Seoul,1988,Football,Football,football,"DE SOUZA, Hamilton",Men,BRA,Brazil,M,Silver +Seoul,1988,Football,Football,football,"DE SOUZA FILHO, Milton",Men,BRA,Brazil,M,Silver +Seoul,1988,Football,Football,football,"KLINSMANN, Jurgen",Men,FRG,West Germany,M,Bronze +Seoul,1988,Football,Football,football,"KETASHVILI, Gela",Men,URS,Soviet Union,M,Gold +Seoul,1988,Football,Football,football,"KERCHNER, Nelson",Men,BRA,Brazil,M,Silver +Seoul,1988,Football,Football,football,"SCHREIER, Christian",Men,FRG,West Germany,M,Bronze +Seoul,1988,Football,Football,football,"ROQUE KAEFER, Ademir",Men,BRA,Brazil,M,Silver +Seoul,1988,Football,Football,football,"SILVA, Geovani",Men,BRA,Brazil,M,Silver +Seoul,1988,Football,Football,football,"SKLYAROV, Igor",Men,URS,Soviet Union,M,Gold +Seoul,1988,Football,Football,football,"KLEPPINGER, Gerhard",Men,FRG,West Germany,M,Bronze +Seoul,1988,Football,Football,football,"JANSSEN, Olaf",Men,FRG,West Germany,M,Bronze +Seoul,1988,Football,Football,football,"GOERTZ, Armin",Men,FRG,West Germany,M,Bronze +Seoul,1988,Gymnastics,Artistic G.,parallel bars,"ARTEMOV, Vladimir",Men,URS,Soviet Union,M,Gold +Seoul,1988,Gymnastics,Artistic G.,team competition,"SATO, Toshiharu",Men,JPN,Japan,M,Bronze +Seoul,1988,Gymnastics,Artistic G.,vault,"KROLL, Sylvio",Men,GDR,East Germany,M,Silver +Seoul,1988,Gymnastics,Artistic G.,floor exercises,"SILIVAS, Daniela",Women,ROU,Romania,W,Gold +Seoul,1988,Gymnastics,Artistic G.,horizontal bar,"BEHRENDT, Holger",Men,GDR,East Germany,M,Bronze +Seoul,1988,Gymnastics,Artistic G.,rings,"TIPPELT, Sven",Men,GDR,East Germany,M,Bronze +Seoul,1988,Gymnastics,Artistic G.,team competition,"BOGINSKAYA, Svetlana",Women,URS,Soviet Union,W,Gold +Seoul,1988,Gymnastics,Artistic G.,pommel horse,"BILOZERCHEV, Dmitri",Men,URS,Soviet Union,M,Gold +Seoul,1988,Gymnastics,Artistic G.,floor exercises,"IKETANI, Yukio",Men,JPN,Japan,M,Bronze +Seoul,1988,Gymnastics,Artistic G.,uneven bars,"SILIVAS, Daniela",Women,ROU,Romania,W,Gold +Seoul,1988,Gymnastics,Artistic G.,team competition,"STRAZHEVA, Olga",Women,URS,Soviet Union,W,Gold +Seoul,1988,Gymnastics,Artistic G.,team competition,"THÜMMLER, Dörte",Women,GDR,East Germany,W,Bronze +Seoul,1988,Gymnastics,Artistic G.,team competition,"POTORAC, Gabriela",Women,ROU,Romania,W,Silver +Seoul,1988,Gymnastics,Artistic G.,parallel bars,"TIPPELT, Sven",Men,GDR,East Germany,M,Bronze +Seoul,1988,Gymnastics,Artistic G.,team competition,"BAITOVA, Svetlana",Women,URS,Soviet Union,W,Gold +Seoul,1988,Gymnastics,Artistic G.,team competition,"SCHIEFERDECKER, Bettina",Women,GDR,East Germany,W,Bronze +Seoul,1988,Gymnastics,Artistic G.,rings,"BEHRENDT, Holger",Men,GDR,East Germany,M,Gold +Seoul,1988,Gymnastics,Artistic G.,team competition,"ARTEMOV, Vladimir",Men,URS,Soviet Union,M,Gold +Seoul,1988,Gymnastics,Artistic G.,vault,"POTORAC, Gabriela",Women,ROU,Romania,W,Silver +Seoul,1988,Gymnastics,Artistic G.,floor exercises,"DOUDEVA, Diana",Women,BUL,Bulgaria,W,Bronze +Seoul,1988,Gymnastics,Artistic G.,uneven bars,"KERSTEN, Dagmar",Women,GDR,East Germany,W,Silver +Seoul,1988,Gymnastics,Artistic G.,team competition,"KERSTEN, Dagmar",Women,GDR,East Germany,W,Bronze +Seoul,1988,Gymnastics,Artistic G.,team competition,"NOVIKOV, Vladimir",Men,URS,Soviet Union,M,Gold +Seoul,1988,Gymnastics,Artistic G.,team competition,"SHUSHUNOVA, Elena",Women,URS,Soviet Union,W,Gold +Seoul,1988,Gymnastics,Artistic G.,team competition,"HOFFMANN, Ulf",Men,GDR,East Germany,M,Silver +Seoul,1988,Gymnastics,Artistic G.,vault,"BOGINSKAYA, Svetlana",Women,URS,Soviet Union,W,Gold +Seoul,1988,Gymnastics,Artistic G.,balance beam,"SILIVAS, Daniela",Women,ROU,Romania,W,Gold +Seoul,1988,Gymnastics,Artistic G.,floor exercises,"KHARIKOV, Serguei",Men,URS,Soviet Union,M,Gold +Seoul,1988,Gymnastics,Artistic G.,vault,"PARK, Jong-Hoon",Men,KOR,"Korea, South",M,Bronze +Seoul,1988,Gymnastics,Artistic G.,team competition,"YAMADA, Takahiro",Men,JPN,Japan,M,Bronze +Seoul,1988,Gymnastics,Artistic G.,team competition,"BILOZERCHEV, Dmitri",Men,URS,Soviet Union,M,Gold +Seoul,1988,Gymnastics,Artistic G.,team competition,"KLOTZ, Ulrike",Women,GDR,East Germany,W,Bronze +Seoul,1988,Gymnastics,Artistic G.,team competition,"IKETANI, Yukio",Men,JPN,Japan,M,Bronze +Seoul,1988,Gymnastics,Artistic G.,individual all-round,"BOGINSKAYA, Svetlana",Women,URS,Soviet Union,W,Bronze +Seoul,1988,Gymnastics,Artistic G.,horizontal bar,"GHERMAN, Marius Costel",Men,ROU,Romania,M,Bronze +Seoul,1988,Gymnastics,Artistic G.,team competition,"MIZUSHIMA, Koichi",Men,JPN,Japan,M,Bronze +Seoul,1988,Gymnastics,Artistic G.,pommel horse,"BORKAI, Zsolt",Men,HUN,Hungary,M,Gold +Seoul,1988,Gymnastics,Artistic G.,team competition,"KHARIKOV, Serguei",Men,URS,Soviet Union,M,Gold +Seoul,1988,Gymnastics,Artistic G.,individual all-round,"ARTEMOV, Vladimir",Men,URS,Soviet Union,M,Gold +Seoul,1988,Gymnastics,Artistic G.,balance beam,"POTORAC, Gabriela",Women,ROU,Romania,W,Bronze +Seoul,1988,Gymnastics,Artistic G.,team competition,"TIPPELT, Sven",Men,GDR,East Germany,M,Silver +Seoul,1988,Gymnastics,Artistic G.,team competition,"KONISHI, Hiriyuki",Men,JPN,Japan,M,Bronze +Seoul,1988,Gymnastics,Artistic G.,pommel horse,"GERASKOV, Lubomir",Men,BUL,Bulgaria,M,Gold +Seoul,1988,Gymnastics,Artistic G.,floor exercises,"ARTEMOV, Vladimir",Men,URS,Soviet Union,M,Silver +Seoul,1988,Gymnastics,Artistic G.,uneven bars,"SHUSHUNOVA, Elena",Women,URS,Soviet Union,W,Bronze +Seoul,1988,Gymnastics,Artistic G.,team competition,"SILIVAS, Daniela",Women,ROU,Romania,W,Silver +Seoul,1988,Gymnastics,Artistic G.,parallel bars,"LIOUKINE, Valeri",Men,URS,Soviet Union,M,Silver +Seoul,1988,Gymnastics,Artistic G.,floor exercises,"BOGINSKAYA, Svetlana",Women,URS,Soviet Union,W,Silver +Seoul,1988,Gymnastics,Artistic G.,individual all-round,"SILIVAS, Daniela",Women,ROU,Romania,W,Silver +Seoul,1988,Gymnastics,Artistic G.,horizontal bar,"LIOUKINE, Valeri",Men,URS,Soviet Union,M,Gold +Seoul,1988,Gymnastics,Artistic G.,horizontal bar,"ARTEMOV, Vladimir",Men,URS,Soviet Union,M,Gold +Seoul,1988,Gymnastics,Artistic G.,individual all-round,"LIOUKINE, Valeri",Men,URS,Soviet Union,M,Silver +Seoul,1988,Gymnastics,Artistic G.,team competition,"POPA, Celestina",Women,ROU,Romania,W,Silver +Seoul,1988,Gymnastics,Artistic G.,team competition,"JENTSCH, Martina",Women,GDR,East Germany,W,Bronze +Seoul,1988,Gymnastics,Artistic G.,balance beam,"SHUSHUNOVA, Elena",Women,URS,Soviet Union,W,Silver +Seoul,1988,Gymnastics,Artistic G.,vault,"LOU, Yun",Men,CHN,China,M,Gold +Seoul,1988,Gymnastics,Artistic G.,team competition,"DOBRE, Aurelia",Women,ROU,Romania,W,Silver +Seoul,1988,Gymnastics,Artistic G.,balance beam,"MILLS, Phoebe Lan",Women,USA,United States,W,Bronze +Seoul,1988,Gymnastics,Artistic G.,floor exercises,"LOU, Yun",Men,CHN,China,M,Bronze +Seoul,1988,Gymnastics,Artistic G.,team competition,"BEHRENDT, Holger",Men,GDR,East Germany,M,Silver +Seoul,1988,Gymnastics,Artistic G.,team competition,"GOLEA, Eugenia",Women,ROU,Romania,W,Silver +Seoul,1988,Gymnastics,Artistic G.,team competition,"FÄHNRICH, Gabriele",Women,GDR,East Germany,W,Bronze +Seoul,1988,Gymnastics,Artistic G.,team competition,"KROLL, Sylvio",Men,GDR,East Germany,M,Silver +Seoul,1988,Gymnastics,Artistic G.,team competition,"BÜCHNER, Ralf",Men,GDR,East Germany,M,Silver +Seoul,1988,Gymnastics,Artistic G.,team competition,"WECKER, Andreas",Men,GDR,East Germany,M,Silver +Seoul,1988,Gymnastics,Artistic G.,rings,"BILOZERCHEV, Dmitri",Men,URS,Soviet Union,M,Gold +Seoul,1988,Gymnastics,Artistic G.,team competition,"SHEVCHENKO, Elena",Women,URS,Soviet Union,W,Gold +Seoul,1988,Gymnastics,Artistic G.,team competition,"GOGOLADZE, Vladimir",Men,URS,Soviet Union,M,Gold +Seoul,1988,Gymnastics,Artistic G.,team competition,"VOINEA, Camelia",Women,ROU,Romania,W,Silver +Seoul,1988,Gymnastics,Artistic G.,individual all-round,"SHUSHUNOVA, Elena",Women,URS,Soviet Union,W,Gold +Seoul,1988,Gymnastics,Artistic G.,vault,"SILIVAS, Daniela",Women,ROU,Romania,W,Bronze +Seoul,1988,Gymnastics,Artistic G.,individual all-round,"BILOZERCHEV, Dmitri",Men,URS,Soviet Union,M,Bronze +Seoul,1988,Gymnastics,Artistic G.,team competition,"LIOUKINE, Valeri",Men,URS,Soviet Union,M,Gold +Seoul,1988,Gymnastics,Artistic G.,team competition,"NISHIKAWA, Daisuke",Men,JPN,Japan,M,Bronze +Seoul,1988,Gymnastics,Artistic G.,team competition,"LACHTCHENOVA, Natalia",Women,URS,Soviet Union,W,Gold +Seoul,1988,Gymnastics,Rhythmic G.,individual all-round,"LOBATCH, Marina",Women,URS,Soviet Union,W,Gold +Seoul,1988,Gymnastics,Rhythmic G.,individual all-round,"DUNAVSKA, Adriana",Women,BUL,Bulgaria,W,Silver +Seoul,1988,Gymnastics,Rhythmic G.,individual all-round,"TIMOSHENKO, Alexandra",Women,URS,Soviet Union,W,Bronze +Seoul,1988,Handball,Handball,handball,"HAN, Hyun-Sook",Women,KOR,"Korea, South",W,Gold +Seoul,1988,Handball,Handball,handball,"HOLPERT, Jozef",Men,YUG,Yugoslavia,M,Bronze +Seoul,1988,Handball,Handball,handball,"LIM, Mi-Kyung",Women,KOR,"Korea, South",W,Gold +Seoul,1988,Handball,Handball,handball,"SHEVTSOV, Yuri",Men,URS,Soviet Union,M,Gold +Seoul,1988,Handball,Handball,handball,"HOGNESS, Hanne",Women,NOR,Norway,W,Silver +Seoul,1988,Handball,Handball,handball,"KIM, Hyun-Mee",Women,KOR,"Korea, South",W,Gold +Seoul,1988,Handball,Handball,handball,"SONG, Ji-Hyun",Women,KOR,"Korea, South",W,Gold +Seoul,1988,Handball,Handball,handball,"LAVROV, Andrey",Men,URS,Soviet Union,M,Gold +Seoul,1988,Handball,Handball,handball,"NOVITSKI, Valdemar",Men,URS,Soviet Union,M,Gold +Seoul,1988,Handball,Handball,handball,"KARSHAKEVICH, Aleksandr",Men,URS,Soviet Union,M,Gold +Seoul,1988,Handball,Handball,handball,"MIDTHUN, Kristin",Women,NOR,Norway,W,Silver +Seoul,1988,Handball,Handball,handball,"PETTERSEN, Karin",Women,NOR,Norway,W,Silver +Seoul,1988,Handball,Handball,handball,"HALTVIK, Trine",Women,NOR,Norway,W,Silver +Seoul,1988,Handball,Handball,handball,"PORTNER, Zlatko",Men,YUG,Yugoslavia,M,Bronze +Seoul,1988,Handball,Handball,handball,"SARACEVIC, Zlatko",Men,YUG,Yugoslavia,M,Bronze +Seoul,1988,Handball,Handball,handball,"MITRYUK, Natalya",Women,URS,Soviet Union,W,Bronze +Seoul,1988,Handball,Handball,handball,"VUJOVIC, Veselin",Men,YUG,Yugoslavia,M,Bronze +Seoul,1988,Handball,Handball,handball,"RYMANOV, Aleksandr",Men,URS,Soviet Union,M,Gold +Seoul,1988,Handball,Handball,handball,"YOON, Tae-Il",Men,KOR,"Korea, South",M,Silver +Seoul,1988,Handball,Handball,handball,"MANKOVA, Svetlana",Women,URS,Soviet Union,W,Bronze +Seoul,1988,Handball,Handball,handball,"MEMIC, Muhamed",Men,YUG,Yugoslavia,M,Bronze +Seoul,1988,Handball,Handball,handball,"ELIASSON, Marthe",Women,NOR,Norway,W,Silver +Seoul,1988,Handball,Handball,handball,"SUK, Min-Hee",Women,KOR,"Korea, South",W,Gold +Seoul,1988,Handball,Handball,handball,"PUSNIK, Rolando",Men,YUG,Yugoslavia,M,Bronze +Seoul,1988,Handball,Handball,handball,"KANG, Jae-Won",Men,KOR,"Korea, South",M,Silver +Seoul,1988,Handball,Handball,handball,"TOVSTOGAN, Yevgeniya",Women,URS,Soviet Union,W,Bronze +Seoul,1988,Handball,Handball,handball,"TUCHKIN, Alexandre",Men,URS,Soviet Union,M,Gold +Seoul,1988,Handball,Handball,handball,"SVIRIDENKO, Georgi",Men,URS,Soviet Union,M,Gold +Seoul,1988,Handball,Handball,handball,"LAPITSKAYA, Natalya",Women,URS,Soviet Union,W,Bronze +Seoul,1988,Handball,Handball,handball,"KIM, Myung-Soon",Women,KOR,"Korea, South",W,Gold +Seoul,1988,Handball,Handball,handball,"CHUMAK, Igor",Men,URS,Soviet Union,M,Gold +Seoul,1988,Handball,Handball,handball,"KUZMANOVSKI, Slobodan",Men,YUG,Yugoslavia,M,Bronze +Seoul,1988,Handball,Handball,handball,"SKOTVOLL, Annette",Women,NOR,Norway,W,Silver +Seoul,1988,Handball,Handball,handball,"JARAK, Boris",Men,YUG,Yugoslavia,M,Bronze +Seoul,1988,Handball,Handball,handball,"KARLOVA, Larisa",Women,URS,Soviet Union,W,Bronze +Seoul,1988,Handball,Handball,handball,"GUSEVA, Elina",Women,URS,Soviet Union,W,Bronze +Seoul,1988,Handball,Handball,handball,"STEEN, Ingrid",Women,NOR,Norway,W,Silver +Seoul,1988,Handball,Handball,handball,"PUC, Iztok",Men,YUG,Yugoslavia,M,Bronze +Seoul,1988,Handball,Handball,handball,"RNIC, Momir",Men,YUG,Yugoslavia,M,Bronze +Seoul,1988,Handball,Handball,handball,"SMAJLAGIC, Irfan",Men,YUG,Yugoslavia,M,Bronze +Seoul,1988,Handball,Handball,handball,"SHIM, Jae-Hong",Men,KOR,"Korea, South",M,Silver +Seoul,1988,Handball,Handball,handball,"SUNG, Kyung-Hwa",Women,KOR,"Korea, South",W,Gold +Seoul,1988,Handball,Handball,handball,"SON, Mi-Ha",Women,KOR,"Korea, South",W,Gold +Seoul,1988,Handball,Handball,handball,"ATAVIN, Vyacheslav",Men,URS,Soviet Union,M,Gold +Seoul,1988,Handball,Handball,handball,"GOKSOR, Susann",Women,NOR,Norway,W,Silver +Seoul,1988,Handball,Handball,handball,"NEMASHKALO, Elena",Women,URS,Soviet Union,W,Bronze +Seoul,1988,Handball,Handball,handball,"KIM, Kyung-Soon",Women,KOR,"Korea, South",W,Gold +Seoul,1988,Handball,Handball,handball,"ANDERSEN, Kjerstin",Women,NOR,Norway,W,Silver +Seoul,1988,Handball,Handball,handball,"PARK, Young-Dae",Men,KOR,"Korea, South",M,Silver +Seoul,1988,Handball,Handball,handball,"DIANDIGAVA, Tatyana",Women,URS,Soviet Union,W,Bronze +Seoul,1988,Handball,Handball,handball,"CHOI, Suk-Jae",Men,KOR,"Korea, South",M,Silver +Seoul,1988,Handball,Handball,handball,"KIM, Jae-Hwan",Men,KOR,"Korea, South",M,Silver +Seoul,1988,Handball,Handball,handball,"ANISIMOVA, Natalya",Women,URS,Soviet Union,W,Bronze +Seoul,1988,Handball,Handball,handball,"DIGRE, Berit",Women,NOR,Norway,W,Silver +Seoul,1988,Handball,Handball,handball,"GORB, Tatyana",Women,URS,Soviet Union,W,Bronze +Seoul,1988,Handball,Handball,handball,"LEE, Sang-Hyo",Men,KOR,"Korea, South",M,Silver +Seoul,1988,Handball,Handball,handball,"PARK, Do-Hun",Men,KOR,"Korea, South",M,Silver +Seoul,1988,Handball,Handball,handball,"VASILIEV, Mikhail",Men,URS,Soviet Union,M,Gold +Seoul,1988,Handball,Handball,handball,"LIM, Jin-Suk",Men,KOR,"Korea, South",M,Silver +Seoul,1988,Handball,Handball,handball,"HEGH, Hanne",Women,NOR,Norway,W,Silver +Seoul,1988,Handball,Handball,handball,"MORSKOVA, Natalia",Women,URS,Soviet Union,W,Bronze +Seoul,1988,Handball,Handball,handball,"KOH, Suk-Chang",Men,KOR,"Korea, South",M,Silver +Seoul,1988,Handball,Handball,handball,"SUNDAL, Heidi",Women,NOR,Norway,W,Silver +Seoul,1988,Handball,Handball,handball,"SINGSTAD, Karin",Women,NOR,Norway,W,Silver +Seoul,1988,Handball,Handball,handball,"SVENDSEN, Cathrine",Women,NOR,Norway,W,Silver +Seoul,1988,Handball,Handball,handball,"SHIN, Yung-Suk",Men,KOR,"Korea, South",M,Silver +Seoul,1988,Handball,Handball,handball,"TURCHINA, Zinaida",Women,URS,Soviet Union,W,Bronze +Seoul,1988,Handball,Handball,handball,"JOHNSEN, Vibeke",Women,NOR,Norway,W,Silver +Seoul,1988,Handball,Handball,handball,"BASIC, Mirko",Men,YUG,Yugoslavia,M,Bronze +Seoul,1988,Handball,Handball,handball,"SHAROVAROV, Konstantin",Men,URS,Soviet Union,M,Gold +Seoul,1988,Handball,Handball,handball,"ROH, Hyun-Suk",Men,KOR,"Korea, South",M,Silver +Seoul,1988,Handball,Handball,handball,"LEE, Ki-Soon",Women,KOR,"Korea, South",W,Gold +Seoul,1988,Handball,Handball,handball,"KIM, Choon-Rye",Women,KOR,"Korea, South",W,Gold +Seoul,1988,Handball,Handball,handball,"GOPIN, Valeri",Men,URS,Soviet Union,M,Gold +Seoul,1988,Handball,Handball,handball,"NESTEROV, Yuri",Men,URS,Soviet Union,M,Gold +Seoul,1988,Handball,Handball,handball,"SEMENOVA, Olga",Women,URS,Soviet Union,W,Bronze +Seoul,1988,Handball,Handball,handball,"BAZANOVA, Marina",Women,URS,Soviet Union,W,Bronze +Seoul,1988,Handball,Handball,handball,"VELIC, Ermin",Men,YUG,Yugoslavia,M,Bronze +Seoul,1988,Handball,Handball,handball,"PERKOVAC, Goran",Men,YUG,Yugoslavia,M,Bronze +Seoul,1988,Handball,Handball,handball,"NACINOVIC, Alvaro",Men,YUG,Yugoslavia,M,Bronze +Seoul,1988,Handball,Handball,handball,"OH, Young-Ki",Men,KOR,"Korea, South",M,Silver +Seoul,1988,Handball,Handball,handball,"RUSNACHENKO, Natalya",Women,URS,Soviet Union,W,Bronze +Seoul,1988,Handball,Handball,handball,"KIM, Mi-Sook",Women,KOR,"Korea, South",W,Gold +Seoul,1988,Handball,Handball,handball,"CHUMENTSEV, Andrei",Men,URS,Soviet Union,M,Gold +Seoul,1988,Hockey,Hockey,hockey,"CHO, Ki-Hyang",Women,KOR,"Korea, South",W,Silver +Seoul,1988,Hockey,Hockey,hockey,"BENNINGA, Marc Alexander",Men,NED,Netherlands,M,Bronze +Seoul,1988,Hockey,Hockey,hockey,"SEO, Hyo-Sun",Women,KOR,"Korea, South",W,Silver +Seoul,1988,Hockey,Hockey,hockey,"HAN, Ok-Kyung",Women,KOR,"Korea, South",W,Silver +Seoul,1988,Hockey,Hockey,hockey,"SMALL, Kim",Women,AUS,Australia,W,Gold +Seoul,1988,Hockey,Hockey,hockey,"FAULKNER, David Andrew Vince.",Men,GBR,United Kingdom,M,Gold +Seoul,1988,Hockey,Hockey,hockey,"GRIMLEY, Martyn Andrew",Men,GBR,United Kingdom,M,Gold +Seoul,1988,Hockey,Hockey,hockey,"BOWMAN, Deborah",Women,AUS,Australia,W,Gold +Seoul,1988,Hockey,Hockey,hockey,"DELISSEN, Marc",Men,NED,Netherlands,M,Bronze +Seoul,1988,Hockey,Hockey,hockey,"TOOTH, Liane Marianne",Women,AUS,Australia,W,Gold +Seoul,1988,Hockey,Hockey,hockey,"CLIFT, Robert",Men,GBR,United Kingdom,M,Gold +Seoul,1988,Hockey,Hockey,hockey,"DE BEUS, Bernadette",Women,NED,Netherlands,W,Bronze +Seoul,1988,Hockey,Hockey,hockey,"LEISTRA, Frank",Men,NED,Netherlands,M,Bronze +Seoul,1988,Hockey,Hockey,hockey,"FABER, Patrick Franciscus Maria",Men,NED,Netherlands,M,Bronze +Seoul,1988,Hockey,Hockey,hockey,"SCHLIEMANN, Christian",Men,FRG,West Germany,M,Silver +Seoul,1988,Hockey,Hockey,hockey,"SHERWANI, Imran Ahmed Khan",Men,GBR,United Kingdom,M,Gold +Seoul,1988,Hockey,Hockey,hockey,"VON WEILER, Sophie Pauline",Women,NED,Netherlands,W,Bronze +Seoul,1988,Hockey,Hockey,hockey,"PAPPIN, Veryan Guy Henry",Men,GBR,United Kingdom,M,Gold +Seoul,1988,Hockey,Hockey,hockey,"FASTRICH, Hans-Henning",Men,FRG,West Germany,M,Silver +Seoul,1988,Hockey,Hockey,hockey,"NIEUWEWNHUIZEN, Anne Lucia (Anneloes)",Women,NED,Netherlands,W,Bronze +Seoul,1988,Hockey,Hockey,hockey,"SCHLATMANN, Gert Jan",Men,NED,Netherlands,M,Bronze +Seoul,1988,Hockey,Hockey,hockey,"DOPP, Heiner",Men,FRG,West Germany,M,Silver +Seoul,1988,Hockey,Hockey,hockey,"MARTIN, Stephen Alexander.",Men,GBR,United Kingdom,M,Gold +Seoul,1988,Hockey,Hockey,hockey,"MOLLANDIN, Andreas",Men,FRG,West Germany,M,Silver +Seoul,1988,Hockey,Hockey,hockey,"JANSEN, Franciscus Ronaldus Maria",Men,NED,Netherlands,M,Bronze +Seoul,1988,Hockey,Hockey,hockey,"SCHMIDT-OPPER, Ekkhard",Men,FRG,West Germany,M,Silver +Seoul,1988,Hockey,Hockey,hockey,"GARCIA, Russell Simon",Men,GBR,United Kingdom,M,Gold +Seoul,1988,Hockey,Hockey,hockey,"DIEPEVEEN, Cees Jaan",Men,NED,Netherlands,M,Bronze +Seoul,1988,Hockey,Hockey,hockey,"BLÖCHER, Stefan",Men,FRG,West Germany,M,Silver +Seoul,1988,Hockey,Hockey,hockey,"HILLAS, Lorraine",Women,AUS,Australia,W,Gold +Seoul,1988,Hockey,Hockey,hockey,"HAWKES, Rechelle",Women,AUS,Australia,W,Gold +Seoul,1988,Hockey,Hockey,hockey,"RECK, Thomas Werner",Men,FRG,West Germany,M,Silver +Seoul,1988,Hockey,Hockey,hockey,"HAN, Gum Shil",Women,KOR,"Korea, South",W,Silver +Seoul,1988,Hockey,Hockey,hockey,"HILGERS, Michael",Men,FRG,West Germany,M,Silver +Seoul,1988,Hockey,Hockey,hockey,"CRUCQ, Maurits",Men,NED,Netherlands,M,Bronze +Seoul,1988,Hockey,Hockey,hockey,"LEMAN, Richard Alexander",Men,GBR,United Kingdom,M,Gold +Seoul,1988,Hockey,Hockey,hockey,"HANEL, Horst-Ulrich",Men,FRG,West Germany,M,Silver +Seoul,1988,Hockey,Hockey,hockey,"VAN MANEN, Aletta",Women,NED,Netherlands,W,Bronze +Seoul,1988,Hockey,Hockey,hockey,"BENNINGA, Carina",Women,NED,Netherlands,W,Bronze +Seoul,1988,Hockey,Hockey,hockey,"FRANK, Tobias",Men,FRG,West Germany,M,Silver +Seoul,1988,Hockey,Hockey,hockey,"BATCHELOR, Steven James",Men,GBR,United Kingdom,M,Gold +Seoul,1988,Hockey,Hockey,hockey,"POTTER, Jonathan Nicholas M.",Men,GBR,United Kingdom,M,Gold +Seoul,1988,Hockey,Hockey,hockey,"BOVELANDER, Floris Jan",Men,NED,Netherlands,M,Bronze +Seoul,1988,Hockey,Hockey,hockey,"CHOI, Choon-Ok",Women,KOR,"Korea, South",W,Silver +Seoul,1988,Hockey,Hockey,hockey,"KRUIZE, Jan Hidde",Men,NED,Netherlands,M,Bronze +Seoul,1988,Hockey,Hockey,hockey,"KERLY, Sean Robin",Men,GBR,United Kingdom,M,Gold +Seoul,1988,Hockey,Hockey,hockey,"BARBER, Paul Jason",Men,GBR,United Kingdom,M,Gold +Seoul,1988,Hockey,Hockey,hockey,"LEJEUNE VAN DER BEN, Helena Johanna",Women,NED,Netherlands,W,Bronze +Seoul,1988,Hockey,Hockey,hockey,"KIM, Mi-Sun",Women,KOR,"Korea, South",W,Silver +Seoul,1988,Hockey,Hockey,hockey,"VAN DEN HONERT, Taco",Men,NED,Netherlands,M,Bronze +Seoul,1988,Hockey,Hockey,hockey,"CHUNG, Eun-Kyung",Women,KOR,"Korea, South",W,Silver +Seoul,1988,Hockey,Hockey,hockey,"BUTER, Yvonne",Women,NED,Netherlands,W,Bronze +Seoul,1988,Hockey,Hockey,hockey,"KIM, Young-Sook",Women,KOR,"Korea, South",W,Silver +Seoul,1988,Hockey,Hockey,hockey,"CAPES-HAGER, Michelle Edith",Women,AUS,Australia,W,Gold +Seoul,1988,Hockey,Hockey,hockey,"OHR, Martine",Women,NED,Netherlands,W,Bronze +Seoul,1988,Hockey,Hockey,hockey,"HOLSBOER, Eleonoor Wendeline",Women,NED,Netherlands,W,Bronze +Seoul,1988,Hockey,Hockey,hockey,"KELLER, Andreas",Men,FRG,West Germany,M,Silver +Seoul,1988,Hockey,Hockey,hockey,"BRINKMANN, Dirk",Men,FRG,West Germany,M,Silver +Seoul,1988,Hockey,Hockey,hockey,"PEREIRA, Jacqueline Margaret",Women,AUS,Australia,W,Gold +Seoul,1988,Hockey,Hockey,hockey,"BHAURA, Kulbir Singh",Men,GBR,United Kingdom,M,Gold +Seoul,1988,Hockey,Hockey,hockey,"BRINKMANN, Thomas",Men,FRG,West Germany,M,Silver +Seoul,1988,Hockey,Hockey,hockey,"CARBON, Sally May",Women,AUS,Australia,W,Gold +Seoul,1988,Hockey,Hockey,hockey,"BRINKMAN, Jacques",Men,NED,Netherlands,M,Bronze +Seoul,1988,Hockey,Hockey,hockey,"SEO, Kwang-Mi",Women,KOR,"Korea, South",W,Silver +Seoul,1988,Hockey,Hockey,hockey,"DORMAN, Loretta",Women,AUS,Australia,W,Gold +Seoul,1988,Hockey,Hockey,hockey,"DODDS, Richard David Allan",Men,GBR,United Kingdom,M,Gold +Seoul,1988,Hockey,Hockey,hockey,"CAPES, Lee",Women,AUS,Australia,W,Gold +Seoul,1988,Hockey,Hockey,hockey,"TAYLOR, Ian Charles Boucher",Men,GBR,United Kingdom,M,Gold +Seoul,1988,Hockey,Hockey,hockey,"CLEMENT-DENNING, Elspeth",Women,AUS,Australia,W,Gold +Seoul,1988,Hockey,Hockey,hockey,"AARDENBURG, Willemien",Women,NED,Netherlands,W,Bronze +Seoul,1988,Hockey,Hockey,hockey,"PATMORE, Sharon",Women,AUS,Australia,W,Gold +Seoul,1988,Hockey,Hockey,hockey,"VAN DOORN, Marieke Birgitta",Women,NED,Netherlands,W,Bronze +Seoul,1988,Hockey,Hockey,hockey,"CHANG, Eun-Jung",Women,KOR,"Korea, South",W,Silver +Seoul,1988,Hockey,Hockey,hockey,"KOOIJMAN, Hendrik Jan",Men,NED,Netherlands,M,Bronze +Seoul,1988,Hockey,Hockey,hockey,"FOKKE, Annemieke",Women,NED,Netherlands,W,Bronze +Seoul,1988,Hockey,Hockey,hockey,"BELBIN, Tracey Lee",Women,AUS,Australia,W,Gold +Seoul,1988,Hockey,Hockey,hockey,"BOLHUIS-EIJSVOGEL, Maria Yolanda C.",Women,NED,Netherlands,W,Bronze +Seoul,1988,Hockey,Hockey,hockey,"FRIED, Volker",Men,FRG,West Germany,M,Silver +Seoul,1988,Hockey,Hockey,hockey,"WILLEMSE, Laurien",Women,NED,Netherlands,W,Bronze +Seoul,1988,Hockey,Hockey,hockey,"STEENS, Timotheus Bernardus",Men,NED,Netherlands,M,Bronze +Seoul,1988,Hockey,Hockey,hockey,"METZ, Michael",Men,FRG,West Germany,M,Silver +Seoul,1988,Hockey,Hockey,hockey,"HWANG, Keum-Sook",Women,KOR,"Korea, South",W,Silver +Seoul,1988,Hockey,Hockey,hockey,"FISH, Maree",Women,AUS,Australia,W,Gold +Seoul,1988,Hockey,Hockey,hockey,"PISANI, Alexandra",Women,AUS,Australia,W,Gold +Seoul,1988,Hockey,Hockey,hockey,"CHUNG, Sang-Hyun",Women,KOR,"Korea, South",W,Silver +Seoul,1988,Hockey,Hockey,hockey,"PARTRIDGE, Kathleen Anne",Women,AUS,Australia,W,Gold +Seoul,1988,Hockey,Hockey,hockey,"JIN, Won-Sim",Women,KOR,"Korea, South",W,Silver +Seoul,1988,Hockey,Hockey,hockey,"LIM, Kye-Sook",Women,KOR,"Korea, South",W,Silver +Seoul,1988,Hockey,Hockey,hockey,"PARLEVLIET, Erik Robbert",Men,NED,Netherlands,M,Bronze +Seoul,1988,Hockey,Hockey,hockey,"PARK, Soon-Ja",Women,KOR,"Korea, South",W,Silver +Seoul,1988,Hockey,Hockey,hockey,"KLAASSEN, Rene Nico Hubertus",Men,NED,Netherlands,M,Bronze +Seoul,1988,Hockey,Hockey,hockey,"KIM, Soon-Duk",Women,KOR,"Korea, South",W,Silver +Seoul,1988,Hockey,Hockey,hockey,"KIRKWOOD, James William",Men,GBR,United Kingdom,M,Gold +Seoul,1988,Hockey,Hockey,hockey,"LEJEUNE, Elisabeth Anne Marie",Women,NED,Netherlands,W,Bronze +Seoul,1988,Hockey,Hockey,hockey,"FISCHER, Carsten",Men,FRG,West Germany,M,Silver +Seoul,1988,Hockey,Hockey,hockey,"WOLFF, Ingrid Imelda",Women,NED,Netherlands,W,Bronze +Seoul,1988,Judo,Judo,60 - 65kg (half-lightweight),"PAWLOWSKI, Janusz",Men,POL,Poland,M,Silver +Seoul,1988,Judo,Judo,86 - 95kg (half-heavyweight),"MEILING, Marc",Men,FRG,West Germany,M,Silver +Seoul,1988,Judo,Judo,60 - 65kg (half-lightweight),"LEE, Kyung-Keun",Men,KOR,"Korea, South",M,Gold +Seoul,1988,Judo,Judo,86 - 95kg (half-heavyweight),"MIGUEL FERNANDEZ, Aurelio",Men,BRA,Brazil,M,Gold +Seoul,1988,Judo,Judo,+ 95kg (heavyweight),"CHO, Yong-Chul",Men,KOR,"Korea, South",M,Bronze +Seoul,1988,Judo,Judo,65 - 71kg (lightweight),"LOLL, Sven",Men,GDR,East Germany,M,Silver +Seoul,1988,Judo,Judo,- 60 kg,"TOTIKASHVILI, Amiran",Men,URS,Soviet Union,M,Bronze +Seoul,1988,Judo,Judo,71 - 78kg (half-middleweight),"WIENEKE, Frank",Men,FRG,West Germany,M,Silver +Seoul,1988,Judo,Judo,+ 95kg (heavyweight),"SAITO, Hitoshi",Men,JPN,Japan,M,Gold +Seoul,1988,Judo,Judo,+ 95kg (heavyweight),"STÖHR, Henry",Men,GDR,East Germany,M,Silver +Seoul,1988,Judo,Judo,65 - 71kg (lightweight),"ALEXANDRE, Marc",Men,FRA,France,M,Gold +Seoul,1988,Judo,Judo,- 60 kg,"HOSOKAWA, Shinji",Men,JPN,Japan,M,Bronze +Seoul,1988,Judo,Judo,78 - 86kg (middleweight),"SEISENBACHER, Peter",Men,AUT,Austria,M,Gold +Seoul,1988,Judo,Judo,78 - 86kg (middleweight),"SHESTAKOV, Vladimir",Men,URS,Soviet Union,M,Silver +Seoul,1988,Judo,Judo,+ 95kg (heavyweight),"VERICHEV, Grigori",Men,URS,Soviet Union,M,Bronze +Seoul,1988,Judo,Judo,71 - 78kg (half-middleweight),"LEGIEN, Waldemar",Men,POL,Poland,M,Gold +Seoul,1988,Judo,Judo,86 - 95kg (half-heavyweight),"VAN DE WALLE, Robert",Men,BEL,Belgium,M,Bronze +Seoul,1988,Judo,Judo,- 60 kg,"KIM, Jae-Yup",Men,KOR,"Korea, South",M,Gold +Seoul,1988,Judo,Judo,86 - 95kg (half-heavyweight),"STEWART, Dennis",Men,GBR,United Kingdom,M,Bronze +Seoul,1988,Judo,Judo,60 - 65kg (half-lightweight),"YAMAMOTO, Yosuke",Men,JPN,Japan,M,Bronze +Seoul,1988,Judo,Judo,65 - 71kg (lightweight),"SWAIN, Michael Lee",Men,USA,United States,M,Bronze +Seoul,1988,Judo,Judo,71 - 78kg (half-middleweight),"BRECHOT, Torsten",Men,GDR,East Germany,M,Bronze +Seoul,1988,Judo,Judo,60 - 65kg (half-lightweight),"CARABETTA, Bruno",Men,FRA,France,M,Bronze +Seoul,1988,Judo,Judo,71 - 78kg (half-middleweight),"VARAEV, Bashir",Men,URS,Soviet Union,M,Bronze +Seoul,1988,Judo,Judo,78 - 86kg (middleweight),"OSAKO, Akinobu",Men,JPN,Japan,M,Bronze +Seoul,1988,Judo,Judo,65 - 71kg (lightweight),"TENADZE, Georgi",Men,URS,Soviet Union,M,Bronze +Seoul,1988,Judo,Judo,78 - 86kg (middleweight),"SPIJKERS, Bernhard",Men,NED,Netherlands,M,Bronze +Seoul,1988,Judo,Judo,- 60 kg,"ASANO, Kevin Yoshimi",Men,USA,United States,M,Silver +Seoul,1988,Modern Pentathlon,Modern Pentath.,Team competition,"MIZSER, Attila",Men,HUN,Hungary,M,Gold +Seoul,1988,Modern Pentathlon,Modern Pentath.,Individual competition,"MARTINEK, Janos",Men,HUN,Hungary,M,Gold +Seoul,1988,Modern Pentathlon,Modern Pentath.,Team competition,"TIBERTI, Gianluca",Men,ITA,Italy,M,Silver +Seoul,1988,Modern Pentathlon,Modern Pentath.,Team competition,"MARTINEK, Janos",Men,HUN,Hungary,M,Gold +Seoul,1988,Modern Pentathlon,Modern Pentath.,Team competition,"PHELPS, Richard Lawson",Men,GBR,United Kingdom,M,Bronze +Seoul,1988,Modern Pentathlon,Modern Pentath.,Team competition,"MASSULLO, Carlo",Men,ITA,Italy,M,Silver +Seoul,1988,Modern Pentathlon,Modern Pentath.,Individual competition,"YAGORASHVILI, Vakhtang",Men,URS,Soviet Union,M,Bronze +Seoul,1988,Modern Pentathlon,Modern Pentath.,Team competition,"MASALA, Daniele",Men,ITA,Italy,M,Silver +Seoul,1988,Modern Pentathlon,Modern Pentath.,Team competition,"FABIAN, Laszlo",Men,HUN,Hungary,M,Gold +Seoul,1988,Modern Pentathlon,Modern Pentath.,Individual competition,"MASSULLO, Carlo",Men,ITA,Italy,M,Silver +Seoul,1988,Modern Pentathlon,Modern Pentath.,Team competition,"BROOKHOUSE, Graham Raymond",Men,GBR,United Kingdom,M,Bronze +Seoul,1988,Modern Pentathlon,Modern Pentath.,Team competition,"MAHONY, Dominic J.M.",Men,GBR,United Kingdom,M,Bronze +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"LUKYANOV, Aleksandr",Men,URS,Soviet Union,M,Silver +Seoul,1988,Rowing,Rowing,four-oared shell with coxswain (4-),"YANG, Xiao",Women,CHN,China,W,Silver +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"ANITAS, Herta",Women,ROU,Romania,W,Silver +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"PESCATORE, John A.",Men,USA,United States,M,Bronze +Seoul,1988,Rowing,Rowing,four-oared shell with coxswain (4-),"DOBERSCHÜTZ, Gerlinde",Women,GDR,East Germany,W,Gold +Seoul,1988,Rowing,Rowing,single sculls (1x),"VERDONK, Eric Franciscus",Men,NZL,New Zealand,M,Bronze +Seoul,1988,Rowing,Rowing,double sculls (2x),"NINOVA, Violeta",Women,BUL,Bulgaria,W,Bronze +Seoul,1988,Rowing,Rowing,coxless pair (2-),"MUJKIC, Sadik",Men,YUG,Yugoslavia,M,Bronze +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"BUT, Veniamin",Men,URS,Soviet Union,M,Silver +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"NECULA, Veronica",Women,ROU,Romania,W,Silver +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"HAN, Ya-Qin",Women,CHN,China,W,Bronze +Seoul,1988,Rowing,Rowing,four-oared shell with coxswain (4-),"BALAN-SNEP, Doina Lilian",Women,ROU,Romania,W,Bronze +Seoul,1988,Rowing,Rowing,four-oared shell with coxswain (4-),"ROSE, Sylvia",Women,GDR,East Germany,W,Gold +Seoul,1988,Rowing,Rowing,double sculls (2x),"COCHELEA, Veronica",Women,ROU,Romania,W,Silver +Seoul,1988,Rowing,Rowing,four-oared shell with coxswain (4-),"HU, Ya-Dong",Women,CHN,China,W,Silver +Seoul,1988,Rowing,Rowing,double sculls (2x),"MARCHENKO, Aleksandr",Men,URS,Soviet Union,M,Bronze +Seoul,1988,Rowing,Rowing,quadruple sculls without coxswain (4x),"COCHELEA, Veronica",Women,ROU,Romania,W,Bronze +Seoul,1988,Rowing,Rowing,double sculls (2x),"SCHRÖTER, Martina",Women,GDR,East Germany,W,Gold +Seoul,1988,Rowing,Rowing,double sculls (2x),"LIPA, Elisabeta",Women,ROU,Romania,W,Silver +Seoul,1988,Rowing,Rowing,four-oared shell with coxswain (4-),"ROBU, Valentin",Men,ROU,Romania,M,Silver +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"KOMAROV, Nikolai",Men,URS,Soviet Union,M,Silver +Seoul,1988,Rowing,Rowing,pair without coxswain (2-),"PUSCATU-ARBA, Rodica",Women,ROU,Romania,W,Gold +Seoul,1988,Rowing,Rowing,quadruple sculls without coxswain (4x),"LIPA, Elisabeta",Women,ROU,Romania,W,Bronze +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"PUSCATU-ARBA, Rodica",Women,ROU,Romania,W,Silver +Seoul,1988,Rowing,Rowing,four-oared shell with coxswain (4-),"LOVRENSCHI, Ladislau",Men,ROU,Romania,M,Silver +Seoul,1988,Rowing,Rowing,quadruple sculls without coxswain (4x),"FÖRSTER, Kerstin",Women,GDR,East Germany,W,Gold +Seoul,1988,Rowing,Rowing,four-oared shell with coxswain (4-),"TRASCA, Marioara",Women,ROU,Romania,W,Bronze +Seoul,1988,Rowing,Rowing,double sculls (2x),"FLORIJN, Ronald",Men,NED,Netherlands,M,Gold +Seoul,1988,Rowing,Rowing,single sculls (1x),"KOLBE, Peter-Michael",Men,FRG,West Germany,M,Silver +Seoul,1988,Rowing,Rowing,pair-oared shell with coxswain (2+),"STREIT, Mario",Men,GDR,East Germany,M,Silver +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"NEUNAST, Daniela",Women,GDR,East Germany,W,Gold +Seoul,1988,Rowing,Rowing,four without coxswain (4-),"KESSLAU, Norbert",Men,FRG,West Germany,M,Bronze +Seoul,1988,Rowing,Rowing,four-oared shell with coxswain (4-),"NIESECKE, Bernd",Men,GDR,East Germany,M,Gold +Seoul,1988,Rowing,Rowing,four without coxswain (4-),"KENNELLY, Richard",Men,USA,United States,M,Silver +Seoul,1988,Rowing,Rowing,pair without coxswain (2-),"BERBEROVA, Lalka Stoyanova",Women,BUL,Bulgaria,W,Silver +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"DIDUK, Viktor",Men,URS,Soviet Union,M,Silver +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"MCLAUGHLIN, Jeffrey Dean",Men,USA,United States,M,Bronze +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"GURKOVSKY, Pavel",Men,URS,Soviet Union,M,Silver +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"BURDEN, William Douglas",Men,USA,United States,M,Bronze +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"DUMCHEV, Aleksandr",Men,URS,Soviet Union,M,Silver +Seoul,1988,Rowing,Rowing,quadruple sculls without coxswain (4x),"KALIMBET, Irina",Women,URS,Soviet Union,W,Silver +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"KLEIN, Manfred Willi",Men,FRG,West Germany,M,Gold +Seoul,1988,Rowing,Rowing,quadruple sculls without coxswain (4x),"THORSEN, Rolf Bernt",Men,NOR,Norway,M,Silver +Seoul,1988,Rowing,Rowing,four-oared shell with coxswain (4-),"SNEP, Ioan Gabor",Men,ROU,Romania,M,Silver +Seoul,1988,Rowing,Rowing,pair without coxswain (2-),"HANNEN, Lynley",Women,NZL,New Zealand,W,Bronze +Seoul,1988,Rowing,Rowing,four without coxswain (4-),"SCHRÖDER, Roland",Men,GDR,East Germany,M,Gold +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"BALAN-SNEP, Doina Lilian",Women,ROU,Romania,W,Silver +Seoul,1988,Rowing,Rowing,double sculls (2x),"RIENKS, Nico",Men,NED,Netherlands,M,Gold +Seoul,1988,Rowing,Rowing,double sculls (2x),"YAKUSHA, Vasili",Men,URS,Soviet Union,M,Bronze +Seoul,1988,Rowing,Rowing,quadruple sculls without coxswain (4x),"BOGS, Steffen",Men,GDR,East Germany,M,Bronze +Seoul,1988,Rowing,Rowing,pair-oared shell with coxswain (2+),"SWEENEY, Patrick John",Men,GBR,United Kingdom,M,Bronze +Seoul,1988,Rowing,Rowing,quadruple sculls without coxswain (4x),"SORGERS, Jana",Women,GDR,East Germany,W,Gold +Seoul,1988,Rowing,Rowing,quadruple sculls without coxswain (4x),"DOBRE, Anisoara",Women,ROU,Romania,W,Bronze +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"OANCIA, Ecaterina",Women,ROU,Romania,W,Silver +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"TETI, Michael Francis",Men,USA,United States,M,Bronze +Seoul,1988,Rowing,Rowing,single sculls (1x),"GEORGIEVA, Magdalena",Women,BUL,Bulgaria,W,Bronze +Seoul,1988,Rowing,Rowing,pair-oared shell with coxswain (2+),"HOLMES, Andrew John",Men,GBR,United Kingdom,M,Bronze +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"ZHANG, Xiang-Hua",Women,CHN,China,W,Bronze +Seoul,1988,Rowing,Rowing,quadruple sculls without coxswain (4x),"TIZZANO, Davide",Men,ITA,Italy,M,Gold +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"MÖLLENKAMP, Thomas",Men,FRG,West Germany,M,Gold +Seoul,1988,Rowing,Rowing,four-oared shell with coxswain (4-),"BIRD, Andrew",Men,NZL,New Zealand,M,Bronze +Seoul,1988,Rowing,Rowing,quadruple sculls without coxswain (4x),"HABERMANN, Heiko",Men,GDR,East Germany,M,Bronze +Seoul,1988,Rowing,Rowing,quadruple sculls without coxswain (4x),"SCHRAMM, Beate",Women,GDR,East Germany,W,Gold +Seoul,1988,Rowing,Rowing,four-oared shell with coxswain (4-),"ZHOU, Shouying",Women,CHN,China,W,Silver +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"WESSLING, Ansgar",Men,FRG,West Germany,M,Gold +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"RABE, Bahne",Men,FRG,West Germany,M,Gold +Seoul,1988,Rowing,Rowing,pair-oared shell with coxswain (2+),"RENSCH, Rene",Men,GDR,East Germany,M,Silver +Seoul,1988,Rowing,Rowing,coxless pair (2-),"DOBRE, Danut",Men,ROU,Romania,M,Silver +Seoul,1988,Rowing,Rowing,four without coxswain (4-),"GREINER, Thomas",Men,GDR,East Germany,M,Gold +Seoul,1988,Rowing,Rowing,four-oared shell with coxswain (4-),"HORNIG, Carola",Women,GDR,East Germany,W,Gold +Seoul,1988,Rowing,Rowing,quadruple sculls without coxswain (4x),"MUNDT, Kristina",Women,GDR,East Germany,W,Gold +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"OMELYANOVICH, Viktor",Men,URS,Soviet Union,M,Silver +Seoul,1988,Rowing,Rowing,quadruple sculls without coxswain (4x),"ZÜHLKE, Steffen",Men,GDR,East Germany,M,Bronze +Seoul,1988,Rowing,Rowing,four without coxswain (4-),"GRABOW, Volker",Men,FRG,West Germany,M,Bronze +Seoul,1988,Rowing,Rowing,pair-oared shell with coxswain (2+),"KIRCHHOFF, Detlef",Men,GDR,East Germany,M,Silver +Seoul,1988,Rowing,Rowing,coxless pair (2-),"REDGRAVE, Steven",Men,GBR,United Kingdom,M,Gold +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"DOMAIN, Thomas",Men,FRG,West Germany,M,Gold +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"YANG, Xiao",Women,CHN,China,W,Bronze +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"SMITH, Jonathan S.",Men,USA,United States,M,Bronze +Seoul,1988,Rowing,Rowing,pair-oared shell with coxswain (2+),"DI CAPUA, Giuseppe",Men,ITA,Italy,M,Gold +Seoul,1988,Rowing,Rowing,quadruple sculls without coxswain (4x),"DUMCHEVA, Antonina",Women,URS,Soviet Union,W,Silver +Seoul,1988,Rowing,Rowing,single sculls (1x),"MARDEN, Anne R.",Women,USA,United States,W,Silver +Seoul,1988,Rowing,Rowing,four-oared shell with coxswain (4-),"JOHNSTON, Gregory",Men,NZL,New Zealand,M,Bronze +Seoul,1988,Rowing,Rowing,quadruple sculls without coxswain (4x),"MAZIY, Svetlana",Women,URS,Soviet Union,W,Silver +Seoul,1988,Rowing,Rowing,four-oared shell with coxswain (4-),"ANITAS, Herta",Women,ROU,Romania,W,Bronze +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"BAZON, Adriana",Women,ROU,Romania,W,Silver +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"SCHRÖR, Beatrix",Women,GDR,East Germany,W,Gold +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"HAACKER, Kathrin",Women,GDR,East Germany,W,Gold +Seoul,1988,Rowing,Rowing,four without coxswain (4-),"BRUDEL, Ralf",Men,GDR,East Germany,M,Gold +Seoul,1988,Rowing,Rowing,four-oared shell with coxswain (4-),"EICHWURZEL, Bernd",Men,GDR,East Germany,M,Gold +Seoul,1988,Rowing,Rowing,double sculls (2x),"PETER, Birgit",Women,GDR,East Germany,W,Gold +Seoul,1988,Rowing,Rowing,four-oared shell with coxswain (4-),"OANCIA, Ecaterina",Women,ROU,Romania,W,Bronze +Seoul,1988,Rowing,Rowing,coxless pair (2-),"NEAGU, Dragos",Men,ROU,Romania,M,Silver +Seoul,1988,Rowing,Rowing,pair-oared shell with coxswain (2+),"ABBAGNALE, Giuseppe",Men,ITA,Italy,M,Gold +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"WILD-WAGNER, Ute",Women,GDR,East Germany,W,Gold +Seoul,1988,Rowing,Rowing,four-oared shell with coxswain (4-),"TOMOIAGA, Vasile",Men,ROU,Romania,M,Silver +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"STANGE, Uta",Women,GDR,East Germany,W,Gold +Seoul,1988,Rowing,Rowing,four-oared shell with coxswain (4-),"WRIGHT, Ian Andrew",Men,NZL,New Zealand,M,Bronze +Seoul,1988,Rowing,Rowing,pair without coxswain (2-),"STOYANOVA, Radka",Women,BUL,Bulgaria,W,Silver +Seoul,1988,Rowing,Rowing,four-oared shell with coxswain (4-),"SCHMELING, Karsten",Men,GDR,East Germany,M,Gold +Seoul,1988,Rowing,Rowing,four-oared shell with coxswain (4-),"KEYS, George",Men,NZL,New Zealand,M,Bronze +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"KLUGE, Anja",Women,GDR,East Germany,W,Gold +Seoul,1988,Rowing,Rowing,four-oared shell with coxswain (4-),"NECULA, Veronica",Women,ROU,Romania,W,Bronze +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"ARMASESCU, Mihaela",Women,ROU,Romania,W,Silver +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"EICHHOLZ, Armin",Men,FRG,West Germany,M,Gold +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"HU, Ya-Dong",Women,CHN,China,W,Bronze +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"RUSHER, John Dunbar, Iv",Men,USA,United States,M,Bronze +Seoul,1988,Rowing,Rowing,four-oared shell with coxswain (4-),"SIECH, Birte",Women,GDR,East Germany,W,Gold +Seoul,1988,Rowing,Rowing,quadruple sculls without coxswain (4x),"FARINA, Gianluca",Men,ITA,Italy,M,Gold +Seoul,1988,Rowing,Rowing,double sculls (2x),"MADINA, Stefka",Women,BUL,Bulgaria,W,Bronze +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"STRAUCH, Annegret",Women,GDR,East Germany,W,Gold +Seoul,1988,Rowing,Rowing,quadruple sculls without coxswain (4x),"ABBAGNALE, Agostino",Men,ITA,Italy,M,Gold +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"ZEIDLER, Judith",Women,GDR,East Germany,W,Gold +Seoul,1988,Rowing,Rowing,double sculls (2x),"BODENMANN, Ueli",Men,SUI,Switzerland,M,Silver +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"SCHULTZ, Eckhardt",Men,FRG,West Germany,M,Gold +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"TRASCA, Marioara",Women,ROU,Romania,W,Silver +Seoul,1988,Rowing,Rowing,four without coxswain (4-),"PUTTLITZ, Jörg",Men,FRG,West Germany,M,Bronze +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"BAUER, Seth David",Men,USA,United States,M,Bronze +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"MÄNNIG, Wolfgang",Men,FRG,West Germany,M,Gold +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"PATTON, Edward Bickford",Men,USA,United States,M,Bronze +Seoul,1988,Rowing,Rowing,four-oared shell with coxswain (4-),"WHITE, Christopher S.",Men,NZL,New Zealand,M,Bronze +Seoul,1988,Rowing,Rowing,quadruple sculls without coxswain (4x),"BJÖNNESS, Lars",Men,NOR,Norway,M,Silver +Seoul,1988,Rowing,Rowing,four-oared shell with coxswain (4-),"POPESCU, Dimitrie",Men,ROU,Romania,M,Silver +Seoul,1988,Rowing,Rowing,pair-oared shell with coxswain (2+),"ABBAGNALE, Carmine",Men,ITA,Italy,M,Gold +Seoul,1988,Rowing,Rowing,four without coxswain (4-),"BOHRER, Thomas Robert",Men,USA,United States,M,Silver +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"BALTHASAR, Ramona",Women,GDR,East Germany,W,Gold +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"HE, Yanwen",Women,CHN,China,W,Bronze +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"ZHANG, Ya-Li",Women,CHN,China,W,Bronze +Seoul,1988,Rowing,Rowing,four without coxswain (4-),"GRABOW, Guido",Men,FRG,West Germany,M,Bronze +Seoul,1988,Rowing,Rowing,quadruple sculls without coxswain (4x),"POLI, Piero",Men,ITA,Italy,M,Gold +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"MELLINGHAUS, Matthias",Men,FRG,West Germany,M,Gold +Seoul,1988,Rowing,Rowing,coxless pair (2-),"PRESEREN, Bojan",Men,YUG,Yugoslavia,M,Bronze +Seoul,1988,Rowing,Rowing,pair-oared shell with coxswain (2+),"REDGRAVE, Steven",Men,GBR,United Kingdom,M,Bronze +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"NORDELL, Peter W.",Men,USA,United States,M,Bronze +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"TIKHANOV, Vasili",Men,URS,Soviet Union,M,Silver +Seoul,1988,Rowing,Rowing,quadruple sculls without coxswain (4x),"SOROHAN-MINEA, Anisoara",Women,ROU,Romania,W,Bronze +Seoul,1988,Rowing,Rowing,quadruple sculls without coxswain (4x),"KOPPEN, Jens",Men,GDR,East Germany,M,Bronze +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"ZHOU, Shouying",Women,CHN,China,W,Bronze +Seoul,1988,Rowing,Rowing,four-oared shell with coxswain (4-),"ZHANG, Xiang-Hua",Women,CHN,China,W,Silver +Seoul,1988,Rowing,Rowing,four without coxswain (4-),"KRMPOTICH, David Mattthew",Men,USA,United States,M,Silver +Seoul,1988,Rowing,Rowing,quadruple sculls without coxswain (4x),"VINJE, Vetle",Men,NOR,Norway,M,Silver +Seoul,1988,Rowing,Rowing,four-oared shell with coxswain (4-),"KLAWONN, Frank",Men,GDR,East Germany,M,Gold +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"VASILIEV, Andrei",Men,URS,Soviet Union,M,Silver +Seoul,1988,Rowing,Rowing,four without coxswain (4-),"FÖRSTER, Olaf",Men,GDR,East Germany,M,Gold +Seoul,1988,Rowing,Rowing,four-oared shell with coxswain (4-),"REIHER, Hendrik",Men,GDR,East Germany,M,Gold +Seoul,1988,Rowing,Rowing,four without coxswain (4-),"RODRIGUEZ, Raoul Pedro, Jr.",Men,USA,United States,M,Silver +Seoul,1988,Rowing,Rowing,quadruple sculls without coxswain (4x),"HANSEN, Alf John",Men,NOR,Norway,M,Silver +Seoul,1988,Rowing,Rowing,single sculls (1x),"LANGE, Thomas",Men,GDR,East Germany,M,Gold +Seoul,1988,Rowing,Rowing,double sculls (2x),"SCHWERZMANN, Beat",Men,SUI,Switzerland,M,Silver +Seoul,1988,Rowing,Rowing,four-oared shell with coxswain (4-),"LI, Rong-Hua",Women,CHN,China,W,Silver +Seoul,1988,Rowing,Rowing,pair without coxswain (2-),"HOMEGHI-BULARDA, Olga",Women,ROU,Romania,W,Gold +Seoul,1988,Rowing,Rowing,single sculls (1x),"BEHRENDT, Jutta",Women,GDR,East Germany,W,Gold +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"LI, Rong-Hua",Women,CHN,China,W,Bronze +Seoul,1988,Rowing,Rowing,pair without coxswain (2-),"PAYNE, Nicola",Women,NZL,New Zealand,W,Bronze +Seoul,1988,Rowing,Rowing,quadruple sculls without coxswain (4x),"FROLOVA, Inna",Women,URS,Soviet Union,W,Silver +Seoul,1988,Rowing,Rowing,four-oared shell with coxswain (4-),"WALTHER, Martina",Women,GDR,East Germany,W,Gold +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"HOMEGHI-BULARDA, Olga",Women,ROU,Romania,W,Silver +Seoul,1988,Rowing,Rowing,coxless pair (2-),"HOLMES, Andrew John",Men,GBR,United Kingdom,M,Gold +Seoul,1988,Rowing,Rowing,eight with coxswain (8+),"ZHOU, Xiu-Hua",Women,CHN,China,W,Bronze +Seoul,1988,Sailing,Sailing,flying dutchman,"MCLAUGHLIN, Frank Joseph",Men,CAN,Canada,X,Bronze +Seoul,1988,Sailing,Sailing,470 - Two Person Dinghy,"MOSKALENKO, Larisa",Women,URS,Soviet Union,W,Bronze +Seoul,1988,Sailing,Sailing,fleet/match race keelboat open (Soling),"JÄKEL, Bernd",Men,GDR,East Germany,X,Gold +Seoul,1988,Sailing,Sailing,fleet/match race keelboat open (Soling),"BILLINGHAM, Robert Iain Colin",Men,USA,United States,X,Silver +Seoul,1988,Sailing,Sailing,two-person keelboat open (Star),"GRAEL, Torben",Men,BRA,Brazil,X,Bronze +Seoul,1988,Sailing,Sailing,Tornado - Multihull,"FREITAS, Clinio",Men,BRA,Brazil,X,Bronze +Seoul,1988,Sailing,Sailing,fleet/match race keelboat open (Soling),"BAYLIS, William Henry",Men,USA,United States,X,Silver +Seoul,1988,Sailing,Sailing,Tornado - Multihull,"TIMMS, Christopher",Men,NZL,New Zealand,X,Silver +Seoul,1988,Sailing,Sailing,470 - Two Person Dinghy,"SHUNIKHOVSKAYA, Irina",Women,URS,Soviet Union,W,Bronze +Seoul,1988,Sailing,Sailing,board (division II),"KENDALL, Anthony Bruce",Men,NZL,New Zealand,M,Gold +Seoul,1988,Sailing,Sailing,flying dutchman,"MILLEN, John Charles",Men,CAN,Canada,X,Bronze +Seoul,1988,Sailing,Sailing,two-person keelboat open (Star),"HAENEL, Harold",Men,USA,United States,X,Silver +Seoul,1988,Sailing,Sailing,single-handed dinghy (Finn),"CUTLER, John",Men,NZL,New Zealand,M,Bronze +Seoul,1988,Sailing,Sailing,470 - Two Person Dinghy,"JOLLY, Allison Blair",Women,USA,United States,W,Gold +Seoul,1988,Sailing,Sailing,two-person keelboat open (Star),"VAILE, Philip Brynolf",Men,GBR,United Kingdom,X,Gold +Seoul,1988,Sailing,Sailing,470 - Two Person Dinghy,"SÖDERSTRÖM, Marit",Women,SWE,Sweden,W,Silver +Seoul,1988,Sailing,Sailing,single-handed dinghy (Finn),"DORESTE, Jose Luis",Men,ESP,Spain,M,Gold +Seoul,1988,Sailing,Sailing,fleet/match race keelboat open (Soling),"MATHIASEN, Jan Dupont",Men,DEN,Denmark,X,Bronze +Seoul,1988,Sailing,Sailing,two-person keelboat open (Star),"FALCAO, Nelson",Men,BRA,Brazil,X,Bronze +Seoul,1988,Sailing,Sailing,470 - Two Person Dinghy,"TONISTE, Toomas",Men,URS,Soviet Union,M,Silver +Seoul,1988,Sailing,Sailing,Tornado - Multihull,"LE DEROFF, Jean Yves",Men,FRA,France,X,Gold +Seoul,1988,Sailing,Sailing,flying dutchman,"MÖLLER, Jörgen Bojsen",Men,DEN,Denmark,X,Gold +Seoul,1988,Sailing,Sailing,flying dutchman,"BJÖRKUM, Erik",Men,NOR,Norway,X,Silver +Seoul,1988,Sailing,Sailing,470 - Two Person Dinghy,"TONISTE, Tonu",Men,URS,Soviet Union,M,Silver +Seoul,1988,Sailing,Sailing,fleet/match race keelboat open (Soling),"BANK, Jesper",Men,DEN,Denmark,X,Bronze +Seoul,1988,Sailing,Sailing,Tornado - Multihull,"SELLERS, Rex Samuel",Men,NZL,New Zealand,X,Silver +Seoul,1988,Sailing,Sailing,470 - Two Person Dinghy,"JEWELL, Lynne M.",Women,USA,United States,W,Gold +Seoul,1988,Sailing,Sailing,470 - Two Person Dinghy,"SHADDEN, John Thomas",Men,USA,United States,M,Bronze +Seoul,1988,Sailing,Sailing,two-person keelboat open (Star),"MCINTYRE, Michael Mackay",Men,GBR,United Kingdom,X,Gold +Seoul,1988,Sailing,Sailing,board (division II),"BOERSMA, Jan D.",Men,AHO,Netherlands Antilles*,M,Silver +Seoul,1988,Sailing,Sailing,single-handed dinghy (Finn),"HOLMBERG, Peter",Men,ISV,Virgin Islands*,M,Silver +Seoul,1988,Sailing,Sailing,flying dutchman,"POLLEN, Ole Petter",Men,NOR,Norway,X,Silver +Seoul,1988,Sailing,Sailing,two-person keelboat open (Star),"REYNOLDS, Mark Jeffrey",Men,USA,United States,X,Silver +Seoul,1988,Sailing,Sailing,Tornado - Multihull,"GRAEL SCHMIDT, Lars",Men,BRA,Brazil,X,Bronze +Seoul,1988,Sailing,Sailing,470 - Two Person Dinghy,"MCKEE, Charles",Men,USA,United States,M,Bronze +Seoul,1988,Sailing,Sailing,470 - Two Person Dinghy,"BENGTSSON, Birgitta",Women,SWE,Sweden,W,Silver +Seoul,1988,Sailing,Sailing,fleet/match race keelboat open (Soling),"SCHÜMANN, Jochen",Men,GDR,East Germany,X,Gold +Seoul,1988,Sailing,Sailing,Tornado - Multihull,"HENARD, Nicolas",Men,FRA,France,X,Gold +Seoul,1988,Sailing,Sailing,fleet/match race keelboat open (Soling),"KOSTECKI, John Paul",Men,USA,United States,X,Silver +Seoul,1988,Sailing,Sailing,flying dutchman,"GRÖNBORG, Christian",Men,DEN,Denmark,X,Gold +Seoul,1988,Sailing,Sailing,fleet/match race keelboat open (Soling),"SECHER, Steen Klaaborg",Men,DEN,Denmark,X,Bronze +Seoul,1988,Sailing,Sailing,board (division II),"GEBHARDT, Michael William",Men,USA,United States,M,Bronze +Seoul,1988,Sailing,Sailing,fleet/match race keelboat open (Soling),"FLACH, Thomas",Men,GDR,East Germany,X,Gold +Seoul,1988,Sailing,Sailing,470 - Two Person Dinghy,"PEPONNET, Thierry",Men,FRA,France,M,Gold +Seoul,1988,Sailing,Sailing,470 - Two Person Dinghy,"PILLOT, Luc",Men,FRA,France,M,Gold +Seoul,1988,Shooting,Shooting,50m running target (30+30 shots),"HEIESTAD, Tor",Men,NOR,Norway,M,Gold +Seoul,1988,Shooting,Shooting,50m rifle prone (60 shots),"CHA, Young-Chul",Men,KOR,"Korea, South",M,Silver +Seoul,1988,Shooting,Shooting,50m rifle 3 positions (3x40 shots),"IVANOV, Kirill",Men,URS,Soviet Union,M,Bronze +Seoul,1988,Shooting,Shooting,10m air pistol (60 shots),"KIRIAKOV, Tanyu",Men,BUL,Bulgaria,M,Gold +Seoul,1988,Shooting,Shooting,10m air rifle (40 shots),"SHILOVA, Irina",Women,URS,Soviet Union,W,Gold +Seoul,1988,Shooting,Shooting,50m rifle prone (60 shots),"VARGA, Miroslav",Men,TCH,Czechoslovakia,M,Gold +Seoul,1988,Shooting,Shooting,25m rapid fire pistol (60 shots),"SCHUMANN, Ralf",Men,GDR,East Germany,M,Silver +Seoul,1988,Shooting,Shooting,25m rapid fire pistol (60 shots),"KOVACS, Zoltan",Men,HUN,Hungary,M,Bronze +Seoul,1988,Shooting,Shooting,50m rifle 3 positions (3x40 shots),"ALLAN, Alister Millar",Men,GBR,United Kingdom,M,Silver +Seoul,1988,Shooting,Shooting,50m rifle 3 positions (3x20 shots),"SPERBER, Silvia",Women,FRG,West Germany,W,Gold +Seoul,1988,Shooting,Shooting,50m running target (30+30 shots),"AVRAMENKO, Gennadi",Men,URS,Soviet Union,M,Bronze +Seoul,1988,Shooting,Shooting,50m running target (30+30 shots),"HUANG, Shi-Ping",Men,CHN,China,M,Silver +Seoul,1988,Shooting,Shooting,10m air rifle (60 shots),"MAKSIMOVIC, Goran",Men,YUG,Yugoslavia,M,Gold +Seoul,1988,Shooting,Shooting,10m air pistol (40 shots),"SEKARIC, Jasna",Women,YUG,Yugoslavia,W,Gold +Seoul,1988,Shooting,Shooting,25m rapid fire pistol (60 shots),"KUZMINS, Afanasijs",Men,URS,Soviet Union,M,Gold +Seoul,1988,Shooting,Shooting,50m rifle 3 positions (3x40 shots),"COOPER, Malcolm Douglas",Men,GBR,United Kingdom,M,Gold +Seoul,1988,Shooting,Shooting,10m air rifle (60 shots),"BERTHELOT, Nicolas",Men,FRA,France,M,Silver +Seoul,1988,Shooting,Shooting,trap (125 targets),"BEDNARIK, Miloslav",Men,TCH,Czechoslovakia,X,Silver +Seoul,1988,Shooting,Shooting,50m pistol (60 shots),"BASINSKI, Igor",Men,URS,Soviet Union,M,Bronze +Seoul,1988,Shooting,Shooting,skeet (125 targets),"WEGNER, Axel",Men,GDR,East Germany,X,Gold +Seoul,1988,Shooting,Shooting,25m pistol (30+30 shots),"SEKARIC, Jasna",Women,YUG,Yugoslavia,W,Bronze +Seoul,1988,Shooting,Shooting,50m rifle 3 positions (3x20 shots),"CHERKASOVA, Valentina",Women,URS,Soviet Union,W,Bronze +Seoul,1988,Shooting,Shooting,10m air pistol (60 shots),"BULJUNG, Erich",Men,USA,United States,M,Silver +Seoul,1988,Shooting,Shooting,50m rifle 3 positions (3x20 shots),"LETCHEVA, Vessela Nikolaeva",Women,BUL,Bulgaria,W,Silver +Seoul,1988,Shooting,Shooting,skeet (125 targets),"DE IRRUARRIZAGA, Alfonso",Men,CHI,Chile,X,Silver +Seoul,1988,Shooting,Shooting,10m air pistol (60 shots),"XU, Haifeng",Men,CHN,China,M,Bronze +Seoul,1988,Shooting,Shooting,trap (125 targets),"MONAKOV, Dmitri",Men,URS,Soviet Union,X,Gold +Seoul,1988,Shooting,Shooting,10m air pistol (40 shots),"SALUKVADZE, Nino",Women,URS,Soviet Union,W,Silver +Seoul,1988,Shooting,Shooting,50m pistol (60 shots),"SKANÄKER, Ragnar",Men,SWE,Sweden,M,Silver +Seoul,1988,Shooting,Shooting,10m air rifle (60 shots),"RIEDERER, Johann",Men,FRG,West Germany,M,Bronze +Seoul,1988,Shooting,Shooting,50m pistol (60 shots),"BABII, Sorin",Men,ROU,Romania,M,Gold +Seoul,1988,Shooting,Shooting,trap (125 targets),"PEETERS, Frans",Men,BEL,Belgium,X,Bronze +Seoul,1988,Shooting,Shooting,25m pistol (30+30 shots),"SALUKVADZE, Nino",Women,URS,Soviet Union,W,Gold +Seoul,1988,Shooting,Shooting,10m air rifle (40 shots),"MALUKHINA, Anna",Women,URS,Soviet Union,W,Bronze +Seoul,1988,Shooting,Shooting,10m air pistol (40 shots),"LOGVINENKO, Marina",Women,URS,Soviet Union,W,Bronze +Seoul,1988,Shooting,Shooting,skeet (125 targets),"GUARDIOLA HAY, Jorge",Men,ESP,Spain,X,Bronze +Seoul,1988,Shooting,Shooting,25m pistol (30+30 shots),"HASEGAWA, Tomoko",Women,JPN,Japan,W,Silver +Seoul,1988,Shooting,Shooting,50m rifle prone (60 shots),"ZAHONYI, Attila",Men,HUN,Hungary,M,Bronze +Seoul,1988,Shooting,Shooting,10m air rifle (40 shots),"SPERBER, Silvia",Women,FRG,West Germany,W,Silver +Seoul,1988,Table Tennis,Table Tennis,doubles,"PERKUCIN, Gordana",Women,YUG,Yugoslavia,W,Bronze +Seoul,1988,Table Tennis,Table Tennis,doubles,"CHEN, Jing",Women,CHN,China,W,Silver +Seoul,1988,Table Tennis,Table Tennis,singles,"KIM, Ki Taik",Men,KOR,"Korea, South",M,Silver +Seoul,1988,Table Tennis,Table Tennis,doubles,"HYUN, Jung Hwa",Women,KOR,"Korea, South",W,Gold +Seoul,1988,Table Tennis,Table Tennis,doubles,"YANG, Young-Ja",Women,KOR,"Korea, South",W,Gold +Seoul,1988,Table Tennis,Table Tennis,singles,"LI, Hui-Fen",Women,CHN,China,W,Silver +Seoul,1988,Table Tennis,Table Tennis,doubles,"LUPULESKU, Ilija",Men,YUG,Yugoslavia,M,Silver +Seoul,1988,Table Tennis,Table Tennis,doubles,"WEI, Qing-Guang",Men,CHN,China,M,Gold +Seoul,1988,Table Tennis,Table Tennis,doubles,"AN, Jae Hyung",Men,KOR,"Korea, South",M,Bronze +Seoul,1988,Table Tennis,Table Tennis,doubles,"CHEN, Long-Can",Men,CHN,China,M,Gold +Seoul,1988,Table Tennis,Table Tennis,doubles,"PRIMORAC, Zoran",Men,YUG,Yugoslavia,M,Silver +Seoul,1988,Table Tennis,Table Tennis,doubles,"JIAO, Zhi-Min",Women,CHN,China,W,Silver +Seoul,1988,Table Tennis,Table Tennis,singles,"JIAO, Zhi-Min",Women,CHN,China,W,Bronze +Seoul,1988,Table Tennis,Table Tennis,doubles,"REED, Jasna",Women,YUG,Yugoslavia,W,Bronze +Seoul,1988,Table Tennis,Table Tennis,doubles,"YOO, Nam-Kyu",Men,KOR,"Korea, South",M,Bronze +Seoul,1988,Table Tennis,Table Tennis,singles,"YOO, Nam-Kyu",Men,KOR,"Korea, South",M,Gold +Seoul,1988,Table Tennis,Table Tennis,singles,"CHEN, Jing",Women,CHN,China,W,Gold +Seoul,1988,Table Tennis,Table Tennis,singles,"LINDH, Erik",Men,SWE,Sweden,M,Bronze +Seoul,1988,Tennis,Tennis,doubles,"SANCHEZ, Emilio",Men,ESP,Spain,M,Silver +Seoul,1988,Tennis,Tennis,doubles,"SMYLIE, Elizabeth",Women,AUS,Australia,W,Bronze +Seoul,1988,Tennis,Tennis,singles,"GARRISON, Zina",Women,USA,United States,W,Bronze +Seoul,1988,Tennis,Tennis,doubles,"SREJBER, Milan",Men,TCH,Czechoslovakia,M,Bronze +Seoul,1988,Tennis,Tennis,singles,"GILBERT, Bradley N.",Men,USA,United States,M,Bronze +Seoul,1988,Tennis,Tennis,doubles,"NOVOTNA, Jana",Women,TCH,Czechoslovakia,W,Silver +Seoul,1988,Tennis,Tennis,doubles,"KOHDE-KILSCH, Claudia",Women,FRG,West Germany,W,Bronze +Seoul,1988,Tennis,Tennis,singles,"GRAF, Steffi",Women,FRG,West Germany,W,Gold +Seoul,1988,Tennis,Tennis,doubles,"CASAL MARTINEZ, Sergio",Men,ESP,Spain,M,Silver +Seoul,1988,Tennis,Tennis,singles,"MALEEVA-FRAGNIERE, Manuela",Women,BUL,Bulgaria,W,Bronze +Seoul,1988,Tennis,Tennis,doubles,"FLACH, Kenneth",Men,USA,United States,M,Gold +Seoul,1988,Tennis,Tennis,doubles,"JARRYD, Anders",Men,SWE,Sweden,M,Bronze +Seoul,1988,Tennis,Tennis,doubles,"SHRIVER, Pamela Howard",Women,USA,United States,W,Gold +Seoul,1988,Tennis,Tennis,doubles,"GARRISON, Zina",Women,USA,United States,W,Gold +Seoul,1988,Tennis,Tennis,doubles,"SEGUSO, Robert A.",Men,USA,United States,M,Gold +Seoul,1988,Tennis,Tennis,doubles,"MECIR, Miloslav",Men,TCH,Czechoslovakia,M,Bronze +Seoul,1988,Tennis,Tennis,singles,"MAYOTTE, Timothy C.",Men,USA,United States,M,Silver +Seoul,1988,Tennis,Tennis,singles,"MECIR, Miloslav",Men,TCH,Czechoslovakia,M,Gold +Seoul,1988,Tennis,Tennis,singles,"EDBERG, Stefan",Men,SWE,Sweden,M,Bronze +Seoul,1988,Tennis,Tennis,doubles,"TURNBULL, Wendy",Women,AUS,Australia,W,Bronze +Seoul,1988,Tennis,Tennis,doubles,"SUKOVA, Helena",Women,TCH,Czechoslovakia,W,Silver +Seoul,1988,Tennis,Tennis,doubles,"EDBERG, Stefan",Men,SWE,Sweden,M,Bronze +Seoul,1988,Tennis,Tennis,doubles,"GRAF, Steffi",Women,FRG,West Germany,W,Bronze +Seoul,1988,Tennis,Tennis,singles,"SABATINI, Gabriela",Women,ARG,Argentina,W,Silver +Seoul,1988,Volleyball,Volleyball,volleyball,"ZHENG, Mei-Zhu",Women,CHN,China,W,Bronze +Seoul,1988,Volleyball,Volleyball,volleyball,"URIARTE, Jon Emili",Men,ARG,Argentina,M,Bronze +Seoul,1988,Volleyball,Volleyball,volleyball,"CASTELLANI, Daniel Jorge",Men,ARG,Argentina,M,Bronze +Seoul,1988,Volleyball,Volleyball,volleyball,"YANG, Xi-Lan",Women,CHN,China,W,Bronze +Seoul,1988,Volleyball,Volleyball,volleyball,"TIMMONS, Steve Dennis",Men,USA,United States,M,Gold +Seoul,1988,Volleyball,Volleyball,volleyball,"KORYTOVA, Svetlana",Women,URS,Soviet Union,W,Gold +Seoul,1988,Volleyball,Volleyball,volleyball,"WEBER, Carlos",Men,ARG,Argentina,M,Bronze +Seoul,1988,Volleyball,Volleyball,volleyball,"KRASILNIKOV, Yevgeni",Men,URS,Soviet Union,M,Silver +Seoul,1988,Volleyball,Volleyball,volleyball,"TANNER, Troy R.",Men,USA,United States,M,Gold +Seoul,1988,Volleyball,Volleyball,volleyball,"SHKURNOVA, Olga",Women,URS,Soviet Union,W,Gold +Seoul,1988,Volleyball,Volleyball,volleyball,"CONTE, Hugo Nestor",Men,ARG,Argentina,M,Bronze +Seoul,1988,Volleyball,Volleyball,volleyball,"KRAINOVA, Tatyana",Women,URS,Soviet Union,W,Gold +Seoul,1988,Volleyball,Volleyball,volleyball,"ROOT, Jonathan Edward",Men,USA,United States,M,Gold +Seoul,1988,Volleyball,Volleyball,volleyball,"GARCIA, Rosa",Women,PER,Peru,W,Silver +Seoul,1988,Volleyball,Volleyball,volleyball,"MALAGA, Natalia",Women,PER,Peru,W,Silver +Seoul,1988,Volleyball,Volleyball,volleyball,"MARTINEZ, Esteban Eduardo",Men,ARG,Argentina,M,Bronze +Seoul,1988,Volleyball,Volleyball,volleyball,"LOSEV, Valeri",Men,URS,Soviet Union,M,Silver +Seoul,1988,Volleyball,Volleyball,volleyball,"GALLARDO, Miriam",Women,PER,Peru,W,Silver +Seoul,1988,Volleyball,Volleyball,volleyball,"CUI, Yong-Mei",Women,CHN,China,W,Bronze +Seoul,1988,Volleyball,Volleyball,volleyball,"PEREZ DEL SOLAR, Gabriela",Women,PER,Peru,W,Silver +Seoul,1988,Volleyball,Volleyball,volleyball,"HORNY, Katherine",Women,PER,Peru,W,Silver +Seoul,1988,Volleyball,Volleyball,volleyball,"WU, Dan",Women,CHN,China,W,Bronze +Seoul,1988,Volleyball,Volleyball,volleyball,"JIANG, Ying",Women,CHN,China,W,Bronze +Seoul,1988,Volleyball,Volleyball,volleyball,"VOLKOVA, Elena",Women,URS,Soviet Union,W,Gold +Seoul,1988,Volleyball,Volleyball,volleyball,"FORTUNE, Scott Thomas",Men,USA,United States,M,Gold +Seoul,1988,Volleyball,Volleyball,volleyball,"HOU, Yu-Zhu",Women,CHN,China,W,Bronze +Seoul,1988,Volleyball,Volleyball,volleyball,"DE LA GUERRA, Alejandra",Women,PER,Peru,W,Silver +Seoul,1988,Volleyball,Volleyball,volleyball,"QUIROGA, Raul Nicolas",Men,ARG,Argentina,M,Bronze +Seoul,1988,Volleyball,Volleyball,volleyball,"YANG, Xiao-Jun",Women,CHN,China,W,Bronze +Seoul,1988,Volleyball,Volleyball,volleyball,"CHEREDNIK, Yuri",Men,URS,Soviet Union,M,Silver +Seoul,1988,Volleyball,Volleyball,volleyball,"NIKULINA, Marina",Women,URS,Soviet Union,W,Gold +Seoul,1988,Volleyball,Volleyball,volleyball,"SATO, Eric",Men,USA,United States,M,Gold +Seoul,1988,Volleyball,Volleyball,volleyball,"DE PALMA, Esteban",Men,ARG,Argentina,M,Bronze +Seoul,1988,Volleyball,Volleyball,volleyball,"TORREALVA, Gina",Women,PER,Peru,W,Silver +Seoul,1988,Volleyball,Volleyball,volleyball,"ANTONOV, Yaroslav",Men,URS,Soviet Union,M,Silver +Seoul,1988,Volleyball,Volleyball,volleyball,"KANTOR, Waldo Ariel",Men,ARG,Argentina,M,Bronze +Seoul,1988,Volleyball,Volleyball,volleyball,"URIBE, Cenaida",Women,PER,Peru,W,Silver +Seoul,1988,Volleyball,Volleyball,volleyball,"HEREDIA, Isabel",Women,PER,Peru,W,Silver +Seoul,1988,Volleyball,Volleyball,volleyball,"KUMYSH, Marina",Women,URS,Soviet Union,W,Gold +Seoul,1988,Volleyball,Volleyball,volleyball,"LI, Yue-Ming",Women,CHN,China,W,Bronze +Seoul,1988,Volleyball,Volleyball,volleyball,"CUMINETTI, Juan Carlos",Men,ARG,Argentina,M,Bronze +Seoul,1988,Volleyball,Volleyball,volleyball,"SIDORENKO, Tatyana",Women,URS,Soviet Union,W,Gold +Seoul,1988,Volleyball,Volleyball,volleyball,"STORK, Jeffrey Malcolm",Men,USA,United States,M,Gold +Seoul,1988,Volleyball,Volleyball,volleyball,"SU, Huijuan",Women,CHN,China,W,Bronze +Seoul,1988,Volleyball,Volleyball,volleyball,"ZULIANELLO, Claudio F.",Men,ARG,Argentina,M,Bronze +Seoul,1988,Volleyball,Volleyball,volleyball,"OVCHINNIKOVA, Elena",Women,URS,Soviet Union,W,Gold +Seoul,1988,Volleyball,Volleyball,volleyball,"SOROKOLET, Aleksandr",Men,URS,Soviet Union,M,Silver +Seoul,1988,Volleyball,Volleyball,volleyball,"PARKHOMCHUK, Irina",Women,URS,Soviet Union,W,Gold +Seoul,1988,Volleyball,Volleyball,volleyball,"KRIVOSHEEVA, Olga",Women,URS,Soviet Union,W,Gold +Seoul,1988,Volleyball,Volleyball,volleyball,"COLLA, Daniel M.",Men,ARG,Argentina,M,Bronze +Seoul,1988,Volleyball,Volleyball,volleyball,"CERVERA, Luisa",Women,PER,Peru,W,Silver +Seoul,1988,Volleyball,Volleyball,volleyball,"FAJARDO, Denisse",Women,PER,Peru,W,Silver +Seoul,1988,Volleyball,Volleyball,volleyball,"LI, Guo-Jun",Women,CHN,China,W,Bronze +Seoul,1988,Volleyball,Volleyball,volleyball,"SAUNDERS, David Patrick",Men,USA,United States,M,Gold +Seoul,1988,Volleyball,Volleyball,volleyball,"BUCK, Craig Werner",Men,USA,United States,M,Gold +Seoul,1988,Volleyball,Volleyball,volleyball,"PARTIE, Robert Douglas",Men,USA,United States,M,Gold +Seoul,1988,Volleyball,Volleyball,volleyball,"TAIT, Cecilia",Women,PER,Peru,W,Silver +Seoul,1988,Volleyball,Volleyball,volleyball,"KUZNETSOV, Andrei",Men,URS,Soviet Union,M,Silver +Seoul,1988,Volleyball,Volleyball,volleyball,"PANCHENKO, Yuri",Men,URS,Soviet Union,M,Silver +Seoul,1988,Volleyball,Volleyball,volleyball,"DIZ, Alejandro",Men,ARG,Argentina,M,Bronze +Seoul,1988,Volleyball,Volleyball,volleyball,"KIRALY, Charles",Men,USA,United States,M,Gold +Seoul,1988,Volleyball,Volleyball,volleyball,"SHKURIKHIN, Vladimir",Men,URS,Soviet Union,M,Silver +Seoul,1988,Volleyball,Volleyball,volleyball,"ZHAO, Hong",Women,CHN,China,W,Bronze +Seoul,1988,Volleyball,Volleyball,volleyball,"RUNOV, Igor",Men,URS,Soviet Union,M,Silver +Seoul,1988,Volleyball,Volleyball,volleyball,"WANG, Ya-Jun",Women,CHN,China,W,Bronze +Seoul,1988,Volleyball,Volleyball,volleyball,"ZAITSEV, Viacheslav",Men,URS,Soviet Union,M,Silver +Seoul,1988,Volleyball,Volleyball,volleyball,"OGIENKO, Valentina",Women,URS,Soviet Union,W,Gold +Seoul,1988,Volleyball,Volleyball,volleyball,"SAPEGA, Yuri",Men,URS,Soviet Union,M,Silver +Seoul,1988,Volleyball,Volleyball,volleyball,"VILDE, Raimundas",Men,URS,Soviet Union,M,Silver +Seoul,1988,Volleyball,Volleyball,volleyball,"LUYTIES, Ricci Judson",Men,USA,United States,M,Gold +Seoul,1988,Volleyball,Volleyball,volleyball,"SMIRNOVA, Irina",Women,URS,Soviet Union,W,Gold +Seoul,1988,Volleyball,Volleyball,volleyball,"CTVRTLIK, Robert Jan",Men,USA,United States,M,Gold +Seoul,1988,Weightlifting,Weightlifting,"+ 110kg, total (super heavyweight)","KURLOVICH, Alexandre",Men,URS,Soviet Union,M,Gold +Seoul,1988,Weightlifting,Weightlifting,"+ 110kg, total (super heavyweight)","ZAWIEJA, Martin",Men,FRG,West Germany,M,Bronze +Seoul,1988,Weightlifting,Weightlifting,"67.5 - 75kg, total (middleweight)","STEINHOEFEL, Ingo",Men,GDR,East Germany,M,Silver +Seoul,1988,Weightlifting,Weightlifting,"- 52kg, total (flyweight)","CHUN, Byung-Kwan",Men,KOR,"Korea, South",M,Silver +Seoul,1988,Weightlifting,Weightlifting,"82.5 - 90kg, total (middle-heavyweight)","MUKHAMEDYAROV, Nail",Men,URS,Soviet Union,M,Silver +Seoul,1988,Weightlifting,Weightlifting,"100 - 110kg, total (heavyweight)","WELLER, Ronny",Men,GDR,East Germany,M,Bronze +Seoul,1988,Weightlifting,Weightlifting,"90 - 100kg, total (first-heavyweight)","KUZNETSOV, Pavel",Men,URS,Soviet Union,M,Gold +Seoul,1988,Weightlifting,Weightlifting,"75 - 82.5kg, total (light-heavyweight)","LEE, Kyung-Kun",Men,KOR,"Korea, South",M,Bronze +Seoul,1988,Weightlifting,Weightlifting,"- 56kg, total (bantamweight)","LIU, Shoubin",Men,CHN,China,M,Bronze +Seoul,1988,Weightlifting,Weightlifting,"100 - 110kg, total (heavyweight)","JACSO, Jozsef",Men,HUN,Hungary,M,Silver +Seoul,1988,Weightlifting,Weightlifting,"56 - 60kg, total (featherweight)","YE, Huan-Ming",Men,CHN,China,M,Bronze +Seoul,1988,Weightlifting,Weightlifting,"90 - 100kg, total (first-heavyweight)","VLAD, Nicu",Men,ROU,Romania,M,Silver +Seoul,1988,Weightlifting,Weightlifting,"+ 110kg, total (super heavyweight)","NERLINGER, Manfred",Men,FRG,West Germany,M,Silver +Seoul,1988,Weightlifting,Weightlifting,"67.5 - 75kg, total (middleweight)","VARBANOV, Aleksander",Men,BUL,Bulgaria,M,Bronze +Seoul,1988,Weightlifting,Weightlifting,"60 - 67.5kg, total (lightweight)","LI, Jin-He",Men,CHN,China,M,Bronze +Seoul,1988,Weightlifting,Weightlifting,"82.5 - 90kg, total (middle-heavyweight)","ZAWADA, Slawomir",Men,POL,Poland,M,Bronze +Seoul,1988,Weightlifting,Weightlifting,"60 - 67.5kg, total (lightweight)","MILITOSIAN, Israel",Men,URS,Soviet Union,M,Silver +Seoul,1988,Weightlifting,Weightlifting,"56 - 60kg, total (featherweight)","SULEYMANOGLU, Naim",Men,TUR,Turkey,M,Gold +Seoul,1988,Weightlifting,Weightlifting,"67.5 - 75kg, total (middleweight)","GIDIKOV, Borislav",Men,BUL,Bulgaria,M,Gold +Seoul,1988,Weightlifting,Weightlifting,"90 - 100kg, total (first-heavyweight)","IMMESBERGER, Peter",Men,FRG,West Germany,M,Bronze +Seoul,1988,Weightlifting,Weightlifting,"56 - 60kg, total (featherweight)","TOPUROV, Stefan",Men,BUL,Bulgaria,M,Silver +Seoul,1988,Weightlifting,Weightlifting,"75 - 82.5kg, total (light-heavyweight)","MESSZI, Istvan",Men,HUN,Hungary,M,Silver +Seoul,1988,Weightlifting,Weightlifting,"- 56kg, total (bantamweight)","MIRZOYAN, Oksen",Men,URS,Soviet Union,M,Gold +Seoul,1988,Weightlifting,Weightlifting,"- 52kg, total (flyweight)","MARINOV, Sevdalin",Men,BUL,Bulgaria,M,Gold +Seoul,1988,Weightlifting,Weightlifting,"100 - 110kg, total (heavyweight)","ZAKHAREVICH, Yuri",Men,URS,Soviet Union,M,Gold +Seoul,1988,Weightlifting,Weightlifting,"75 - 82.5kg, total (light-heavyweight)","ARSAMAKOV, Israil",Men,URS,Soviet Union,M,Gold +Seoul,1988,Weightlifting,Weightlifting,"- 56kg, total (bantamweight)","HE, Ying-Qiang",Men,CHN,China,M,Silver +Seoul,1988,Weightlifting,Weightlifting,"- 52kg, total (flyweight)","HE, Zhuo-Qiang",Men,CHN,China,M,Bronze +Seoul,1988,Weightlifting,Weightlifting,"82.5 - 90kg, total (middle-heavyweight)","KHRAPATY, Anatoli",Men,URS,Soviet Union,M,Gold +Seoul,1988,Weightlifting,Weightlifting,"60 - 67.5kg, total (lightweight)","KUNZ, Joachim",Men,GDR,East Germany,M,Gold +Seoul,1988,Wrestling,Wrestling Free.,82 - 90kg (light-heavyweight),"OTA, Akira",Men,JPN,Japan,M,Silver +Seoul,1988,Wrestling,Wrestling Free.,82 - 90kg (light-heavyweight),"KHADARTSEV, Makharbek",Men,URS,Soviet Union,M,Gold +Seoul,1988,Wrestling,Wrestling Free.,52 - 57kg (bantamweight),"MOHAMMADIAN, Asgari",Men,IRI,Iran,M,Silver +Seoul,1988,Wrestling,Wrestling Free.,90 - 100kg (heavyweight),"KHABELOV, Yuri",Men,URS,Soviet Union,M,Silver +Seoul,1988,Wrestling,Wrestling Free.,90 - 100kg (heavyweight),"SCHERR, William Edwin",Men,USA,United States,M,Bronze +Seoul,1988,Wrestling,Wrestling Free.,57 - 62kg (featherweight),"CHTEREV, Simeon",Men,BUL,Bulgaria,M,Bronze +Seoul,1988,Wrestling,Wrestling Free.,74 - 82kg (middleweight),"GENCALP, Necmi",Men,TUR,Turkey,M,Silver +Seoul,1988,Wrestling,Wrestling Free.,74 - 82kg (middleweight),"LOHYNA, Jozef",Men,TCH,Czechoslovakia,M,Bronze +Seoul,1988,Wrestling,Wrestling Free.,74 - 82kg (middleweight),"HAN, Myung-Woo",Men,KOR,"Korea, South",M,Gold +Seoul,1988,Wrestling,Wrestling Free.,62 - 68kg (lightweight),"FADZAEV, Arsen",Men,URS,Soviet Union,M,Gold +Seoul,1988,Wrestling,Wrestling Free.,100 - 130kg (super heavyweight),"BAUMGARTNER, Bruce Robert",Men,USA,United States,M,Silver +Seoul,1988,Wrestling,Wrestling Free.,68 - 74kg (welterweight),"VARAEV, Adlan",Men,URS,Soviet Union,M,Silver +Seoul,1988,Wrestling,Wrestling Free.,68 - 74kg (welterweight),"SOFIADI-RAKHMAT, Sukra",Men,BUL,Bulgaria,M,Bronze +Seoul,1988,Wrestling,Wrestling Free.,62 - 68kg (lightweight),"CARR, Nathaniel",Men,USA,United States,M,Bronze +Seoul,1988,Wrestling,Wrestling Free.,- 48kg (light-flyweight),"KOBAYASHI, Takashi",Men,JPN,Japan,M,Gold +Seoul,1988,Wrestling,Wrestling Free.,52 - 57kg (bantamweight),"BELOGLAZOV, Sergei",Men,URS,Soviet Union,M,Gold +Seoul,1988,Wrestling,Wrestling Free.,90 - 100kg (heavyweight),"PUSCASU, Vasile",Men,ROU,Romania,M,Gold +Seoul,1988,Wrestling,Wrestling Free.,48 - 52kg (flyweight),"TRSTENA, Saban",Men,YUG,Yugoslavia,M,Silver +Seoul,1988,Wrestling,Wrestling Free.,48 - 52kg (flyweight),"TOHUZOV, Vladimir",Men,URS,Soviet Union,M,Bronze +Seoul,1988,Wrestling,Wrestling Free.,68 - 74kg (welterweight),"MONDAY, Kenneth",Men,USA,United States,M,Gold +Seoul,1988,Wrestling,Wrestling Free.,57 - 62kg (featherweight),"SMITH, John",Men,USA,United States,M,Gold +Seoul,1988,Wrestling,Wrestling Free.,57 - 62kg (featherweight),"SARKISYAN, Stepan",Men,URS,Soviet Union,M,Silver +Seoul,1988,Wrestling,Wrestling Free.,62 - 68kg (lightweight),"PARK, Jang-Soon",Men,KOR,"Korea, South",M,Silver +Seoul,1988,Wrestling,Wrestling Free.,52 - 57kg (bantamweight),"NOH, Kyung-Sun",Men,KOR,"Korea, South",M,Bronze +Seoul,1988,Wrestling,Wrestling Free.,- 48kg (light-flyweight),"TZONOV, Ivan",Men,BUL,Bulgaria,M,Silver +Seoul,1988,Wrestling,Wrestling Free.,- 48kg (light-flyweight),"KARAMCHAKOV, Sergei",Men,URS,Soviet Union,M,Bronze +Seoul,1988,Wrestling,Wrestling Free.,100 - 130kg (super heavyweight),"GOBEDJICHVILI, David",Men,URS,Soviet Union,M,Gold +Seoul,1988,Wrestling,Wrestling Free.,48 - 52kg (flyweight),"SATO, Mitsuru",Men,JPN,Japan,M,Gold +Seoul,1988,Wrestling,Wrestling Free.,82 - 90kg (light-heavyweight),"KIM, Tae-Woo",Men,KOR,"Korea, South",M,Bronze +Seoul,1988,Wrestling,Wrestling Free.,100 - 130kg (super heavyweight),"SCHRÖDER, Andreas",Men,GDR,East Germany,M,Bronze +Seoul,1988,Wrestling,Wrestling Gre-R,74 - 82kg (middleweight),"KOMAROMI, Tibor",Men,HUN,Hungary,M,Silver +Seoul,1988,Wrestling,Wrestling Gre-R,82 - 90kg (light-heavyweight),"POPOV, Vladimir",Men,URS,Soviet Union,M,Bronze +Seoul,1988,Wrestling,Wrestling Gre-R,48 - 52kg (flyweight),"MIYAHARA, Atsuji",Men,JPN,Japan,M,Silver +Seoul,1988,Wrestling,Wrestling Gre-R,62 - 68kg (lightweight),"KIM, Sung-Moon",Men,KOR,"Korea, South",M,Silver +Seoul,1988,Wrestling,Wrestling Gre-R,90 - 100kg (heavyweight),"WRONSKI, Andrzej",Men,POL,Poland,M,Gold +Seoul,1988,Wrestling,Wrestling Gre-R,68 - 74kg (welterweight),"TURLYKHANOV, Daulet",Men,URS,Soviet Union,M,Silver +Seoul,1988,Wrestling,Wrestling Gre-R,100 - 130kg (super heavyweight),"KARELIN, Aleksandr",Men,URS,Soviet Union,M,Gold +Seoul,1988,Wrestling,Wrestling Gre-R,74 - 82kg (middleweight),"MAMIASHVILI, Mikhail",Men,URS,Soviet Union,M,Gold +Seoul,1988,Wrestling,Wrestling Gre-R,- 48kg (light-flyweight),"GLAB, Andrzej",Men,POL,Poland,M,Silver +Seoul,1988,Wrestling,Wrestling Gre-R,57 - 62kg (featherweight),"AN, Dae-Hyun",Men,KOR,"Korea, South",M,Bronze +Seoul,1988,Wrestling,Wrestling Gre-R,57 - 62kg (featherweight),"VANGELOV, Jivko",Men,BUL,Bulgaria,M,Silver +Seoul,1988,Wrestling,Wrestling Gre-R,90 - 100kg (heavyweight),"HIMMEL, Gerhard",Men,FRG,West Germany,M,Silver +Seoul,1988,Wrestling,Wrestling Gre-R,100 - 130kg (super heavyweight),"JOHANSSON, Tomas",Men,SWE,Sweden,M,Bronze +Seoul,1988,Wrestling,Wrestling Gre-R,57 - 62kg (featherweight),"MADZHIDOV, Kamandar",Men,URS,Soviet Union,M,Gold +Seoul,1988,Wrestling,Wrestling Gre-R,- 48kg (light-flyweight),"MAENZA, Vincenzo",Men,ITA,Italy,M,Gold +Seoul,1988,Wrestling,Wrestling Gre-R,90 - 100kg (heavyweight),"KOSLOWSKI, Dennis Marvin",Men,USA,United States,M,Bronze +Seoul,1988,Wrestling,Wrestling Gre-R,52 - 57kg (bantamweight),"BALOV, Stoyan",Men,BUL,Bulgaria,M,Silver +Seoul,1988,Wrestling,Wrestling Gre-R,62 - 68kg (lightweight),"SIPILA, Tapio",Men,FIN,Finland,M,Bronze +Seoul,1988,Wrestling,Wrestling Gre-R,82 - 90kg (light-heavyweight),"KOSKELA, Harri Matias",Men,FIN,Finland,M,Silver +Seoul,1988,Wrestling,Wrestling Gre-R,82 - 90kg (light-heavyweight),"KOMCHEV, Atanas Slavov",Men,BUL,Bulgaria,M,Gold +Seoul,1988,Wrestling,Wrestling Gre-R,48 - 52kg (flyweight),"RÖNNINGEN, Jon",Men,NOR,Norway,M,Gold +Seoul,1988,Wrestling,Wrestling Gre-R,74 - 82kg (middleweight),"KIM, Sang-Kyu",Men,KOR,"Korea, South",M,Bronze +Seoul,1988,Wrestling,Wrestling Gre-R,- 48kg (light-flyweight),"TSENOV, Bratan Tzenov",Men,BUL,Bulgaria,M,Bronze +Seoul,1988,Wrestling,Wrestling Gre-R,68 - 74kg (welterweight),"TRACZ, Jozef",Men,POL,Poland,M,Bronze +Seoul,1988,Wrestling,Wrestling Gre-R,68 - 74kg (welterweight),"KIM, Young-Nam",Men,KOR,"Korea, South",M,Gold +Seoul,1988,Wrestling,Wrestling Gre-R,48 - 52kg (flyweight),"LEE, Jae-Suk",Men,KOR,"Korea, South",M,Bronze +Seoul,1988,Wrestling,Wrestling Gre-R,62 - 68kg (lightweight),"DJULFALAKIAN, Levon",Men,URS,Soviet Union,M,Gold +Seoul,1988,Wrestling,Wrestling Gre-R,52 - 57kg (bantamweight),"SIKE, Andras",Men,HUN,Hungary,M,Gold +Seoul,1988,Wrestling,Wrestling Gre-R,52 - 57kg (bantamweight),"HOLIDIS, Charalambos",Men,GRE,Greece,M,Bronze +Seoul,1988,Wrestling,Wrestling Gre-R,100 - 130kg (super heavyweight),"GEROVSKI, Rangel Ivanov",Men,BUL,Bulgaria,M,Silver +Barcelona,1992,Aquatics,Diving,3m springboard,"LENZI, Mark Edward",Men,USA,United States,M,Gold +Barcelona,1992,Aquatics,Diving,10m platform,"XIONG, Ni",Men,CHN,China,M,Bronze +Barcelona,1992,Aquatics,Diving,3m springboard,"LACHKO, Irina",Women,EUN,Unified team,W,Silver +Barcelona,1992,Aquatics,Diving,3m springboard,"SAUTIN, Dmitry",Men,EUN,Unified team,M,Bronze +Barcelona,1992,Aquatics,Diving,10m platform,"FU, Mingxia",Women,CHN,China,W,Gold +Barcelona,1992,Aquatics,Diving,3m springboard,"BALDUS, Brita Pia",Women,GER,Germany,W,Bronze +Barcelona,1992,Aquatics,Diving,10m platform,"SUN, Shuwei",Men,CHN,China,M,Gold +Barcelona,1992,Aquatics,Diving,10m platform,"MIROCHINA, Elena",Women,EUN,Unified team,W,Silver +Barcelona,1992,Aquatics,Diving,3m springboard,"TAN, Liang-De",Men,CHN,China,M,Silver +Barcelona,1992,Aquatics,Diving,10m platform,"CLARK, Mary Ellen",Women,USA,United States,W,Bronze +Barcelona,1992,Aquatics,Diving,3m springboard,"GAO, Min",Women,CHN,China,W,Gold +Barcelona,1992,Aquatics,Diving,10m platform,"DONIE, Scott R.",Men,USA,United States,M,Silver +Barcelona,1992,Aquatics,Swimming,4x100m medley relay,"VAN ALMSICK, Franziska",Women,GER,Germany,W,Silver +Barcelona,1992,Aquatics,Swimming,200m freestyle,"KIELGASS, Kerstin",Women,GER,Germany,W,Bronze +Barcelona,1992,Aquatics,Swimming,800m freestyle,"HENKE, Jana",Women,GER,Germany,W,Bronze +Barcelona,1992,Aquatics,Swimming,4x100m freestyle relay,"THOMPSON, Jenny",Women,USA,United States,W,Gold +Barcelona,1992,Aquatics,Swimming,4x100m freestyle relay,"ZIKARSKY, Bengt",Men,GER,Germany,M,Bronze +Barcelona,1992,Aquatics,Swimming,100m freestyle,"BORGES, Gustavo",Men,BRA,Brazil,M,Silver +Barcelona,1992,Aquatics,Swimming,200m backstroke,"EGERSZEGI, Krisztina",Women,HUN,Hungary,W,Gold +Barcelona,1992,Aquatics,Swimming,1500m freestyle,"HOUSMAN, Glen Clifford",Men,AUS,Australia,M,Silver +Barcelona,1992,Aquatics,Swimming,50m freestyle,"ZHUANG, Yong",Women,CHN,China,W,Silver +Barcelona,1992,Aquatics,Swimming,4x100m freestyle relay,"ZHAO, Kun",Women,CHN,China,W,Silver +Barcelona,1992,Aquatics,Swimming,200m individual medley,"DARNYI, Tamas",Men,HUN,Hungary,M,Gold +Barcelona,1992,Aquatics,Swimming,200m backstroke,"LOPEZ-ZUBERO, Martin",Men,ESP,Spain,M,Gold +Barcelona,1992,Aquatics,Swimming,200m freestyle,"HAISLETT, Nicole Lee",Women,USA,United States,W,Gold +Barcelona,1992,Aquatics,Swimming,400m individual medley,"DARNYI, Tamas",Men,HUN,Hungary,M,Gold +Barcelona,1992,Aquatics,Swimming,4x100m medley relay,"IVANOV, Vassili",Men,EUN,Unified team,M,Silver +Barcelona,1992,Aquatics,Swimming,100m breaststroke,"NALL, Anita",Women,USA,United States,W,Silver +Barcelona,1992,Aquatics,Swimming,800m freestyle,"LEWIS, Hayley Jane",Women,AUS,Australia,W,Silver +Barcelona,1992,Aquatics,Swimming,4x100m medley relay,"ZHIVANEVSKAYA, Nina Alexandrovna",Women,EUN,Unified team,W,Bronze +Barcelona,1992,Aquatics,Swimming,4x100m freestyle relay,"HUNGER, Daniela",Women,GER,Germany,W,Bronze +Barcelona,1992,Aquatics,Swimming,200m freestyle,"SADOVYI, Evgueni",Men,EUN,Unified team,M,Gold +Barcelona,1992,Aquatics,Swimming,4x100m medley relay,"OSYGUS, Simone",Women,GER,Germany,W,Silver +Barcelona,1992,Aquatics,Swimming,4x100m medley relay,"VOLKOV, Dmitri",Men,EUN,Unified team,M,Silver +Barcelona,1992,Aquatics,Swimming,100m butterfly,"SZUKALA, Rafal",Men,POL,Poland,M,Silver +Barcelona,1992,Aquatics,Swimming,4x100m medley relay,"HAISLETT, Nicole Lee",Women,USA,United States,W,Gold +Barcelona,1992,Aquatics,Swimming,4x100m freestyle relay,"LU, Bin",Women,CHN,China,W,Silver +Barcelona,1992,Aquatics,Swimming,100m breaststroke,"ROGERS, Philip John",Men,AUS,Australia,M,Bronze +Barcelona,1992,Aquatics,Swimming,4x100m medley relay,"DERSCH, Hans",Men,USA,United States,M,Gold +Barcelona,1992,Aquatics,Swimming,4x100m medley relay,"THOMPSON, Jenny",Women,USA,United States,W,Gold +Barcelona,1992,Aquatics,Swimming,100m freestyle,"CARON, Stephan",Men,FRA,France,M,Bronze +Barcelona,1992,Aquatics,Swimming,4x200m freestyle relay,"HOLMERTZ, Anders",Men,SWE,Sweden,M,Silver +Barcelona,1992,Aquatics,Swimming,4x100m medley relay,"HUNGER, Daniela",Women,GER,Germany,W,Silver +Barcelona,1992,Aquatics,Swimming,100m freestyle,"ZHUANG, Yong",Women,CHN,China,W,Gold +Barcelona,1992,Aquatics,Swimming,400m freestyle,"PERKINS, Kieren John",Men,AUS,Australia,M,Silver +Barcelona,1992,Aquatics,Swimming,4x100m freestyle relay,"BASHKATOV, Juri",Men,EUN,Unified team,M,Silver +Barcelona,1992,Aquatics,Swimming,200m backstroke,"BATTISTELLI, Stefano",Men,ITA,Italy,M,Bronze +Barcelona,1992,Aquatics,Swimming,200m backstroke,"STEVENSON, Nicole Dawn",Women,AUS,Australia,W,Bronze +Barcelona,1992,Aquatics,Swimming,100m butterfly,"PLEWINSKI, Catherine",Women,FRA,France,W,Bronze +Barcelona,1992,Aquatics,Swimming,400m individual medley,"SACCHI, Luca",Men,ITA,Italy,M,Bronze +Barcelona,1992,Aquatics,Swimming,100m freestyle,"POPOV, Alexander",Men,EUN,Unified team,M,Gold +Barcelona,1992,Aquatics,Swimming,4x200m freestyle relay,"TAIANOVITCH, Veniamin",Men,EUN,Unified team,M,Gold +Barcelona,1992,Aquatics,Swimming,4x100m medley relay,"PONTING, Thomas",Men,CAN,Canada,M,Bronze +Barcelona,1992,Aquatics,Swimming,4x200m freestyle relay,"GJERTSEN, Douglas S.",Men,USA,United States,M,Bronze +Barcelona,1992,Aquatics,Swimming,200m breaststroke,"BARROWMAN, Mike",Men,USA,United States,M,Gold +Barcelona,1992,Aquatics,Swimming,100m freestyle,"THOMPSON, Jenny",Women,USA,United States,W,Silver +Barcelona,1992,Aquatics,Swimming,4x100m freestyle relay,"SZIGAT, Andreas",Men,GER,Germany,M,Bronze +Barcelona,1992,Aquatics,Swimming,4x100m freestyle relay,"PRIGODA, Guennadi",Men,EUN,Unified team,M,Silver +Barcelona,1992,Aquatics,Swimming,200m breaststroke,"IWASAKI, Kyoko",Women,JPN,Japan,W,Gold +Barcelona,1992,Aquatics,Swimming,4x100m medley relay,"KLEINE, Megan A.",Women,USA,United States,W,Gold +Barcelona,1992,Aquatics,Swimming,4x100m medley relay,"WAGSTAFF, Elizabeth",Women,USA,United States,W,Gold +Barcelona,1992,Aquatics,Swimming,100m backstroke,"SZABO, Tunde",Women,HUN,Hungary,W,Silver +Barcelona,1992,Aquatics,Swimming,4x100m freestyle relay,"PINGER, Mark",Men,GER,Germany,M,Bronze +Barcelona,1992,Aquatics,Swimming,4x100m freestyle relay,"YANG, Wenyi",Women,CHN,China,W,Silver +Barcelona,1992,Aquatics,Swimming,100m backstroke,"TEWKSBURY, Mark",Men,CAN,Canada,M,Gold +Barcelona,1992,Aquatics,Swimming,4x100m medley relay,"GERY, Marcel",Men,CAN,Canada,M,Bronze +Barcelona,1992,Aquatics,Swimming,200m freestyle,"KASVIO, Antti Alexander",Men,FIN,Finland,M,Bronze +Barcelona,1992,Aquatics,Swimming,200m butterfly,"STEWART, Melvin",Men,USA,United States,M,Gold +Barcelona,1992,Aquatics,Swimming,4x100m medley relay,"PYSHNENKO, Vladimir",Men,EUN,Unified team,M,Silver +Barcelona,1992,Aquatics,Swimming,200m freestyle,"HOLMERTZ, Anders",Men,SWE,Sweden,M,Silver +Barcelona,1992,Aquatics,Swimming,400m individual medley,"EGERSZEGI, Krisztina",Women,HUN,Hungary,W,Gold +Barcelona,1992,Aquatics,Swimming,4x100m medley relay,"CLARKE, Stephen",Men,CAN,Canada,M,Bronze +Barcelona,1992,Aquatics,Swimming,4x100m freestyle relay,"OLSEN, Jon",Men,USA,United States,M,Gold +Barcelona,1992,Aquatics,Swimming,200m breaststroke,"LIN, Li",Women,CHN,China,W,Silver +Barcelona,1992,Aquatics,Swimming,4x200m freestyle relay,"STEWART, Melvin",Men,USA,United States,M,Bronze +Barcelona,1992,Aquatics,Swimming,100m freestyle,"VAN ALMSICK, Franziska",Women,GER,Germany,W,Bronze +Barcelona,1992,Aquatics,Swimming,4x100m freestyle relay,"PYSHNENKO, Vladimir",Men,EUN,Unified team,M,Silver +Barcelona,1992,Aquatics,Swimming,4x100m freestyle relay,"HUDEPOHL, Joseph",Men,USA,United States,M,Gold +Barcelona,1992,Aquatics,Swimming,4x200m freestyle relay,"WALLIN, Christer",Men,SWE,Sweden,M,Silver +Barcelona,1992,Aquatics,Swimming,4x100m medley relay,"POPOV, Alexander",Men,EUN,Unified team,M,Silver +Barcelona,1992,Aquatics,Swimming,4x100m medley relay,"KHNYKIN, Pavlo",Men,EUN,Unified team,M,Silver +Barcelona,1992,Aquatics,Swimming,4x100m medley relay,"NALL, Anita",Women,USA,United States,W,Gold +Barcelona,1992,Aquatics,Swimming,200m breaststroke,"NALL, Anita",Women,USA,United States,W,Bronze +Barcelona,1992,Aquatics,Swimming,4x200m freestyle relay,"PYSHNENKO, Vladimir",Men,EUN,Unified team,M,Gold +Barcelona,1992,Aquatics,Swimming,4x100m freestyle relay,"OSYGUS, Simone",Women,GER,Germany,W,Bronze +Barcelona,1992,Aquatics,Swimming,200m butterfly,"O'NEILL, Susan",Women,AUS,Australia,W,Bronze +Barcelona,1992,Aquatics,Swimming,4x100m freestyle relay,"TORRES, Dara",Women,USA,United States,W,Gold +Barcelona,1992,Aquatics,Swimming,4x100m medley relay,"CHOUBINA, Elena",Women,EUN,Unified team,W,Bronze +Barcelona,1992,Aquatics,Swimming,50m freestyle,"POPOV, Alexander",Men,EUN,Unified team,M,Gold +Barcelona,1992,Aquatics,Swimming,4x100m freestyle relay,"AHMANN-LEIGHTON, Christine",Women,USA,United States,W,Gold +Barcelona,1992,Aquatics,Swimming,4x100m medley relay,"STEWART, Melvin",Men,USA,United States,M,Gold +Barcelona,1992,Aquatics,Swimming,200m freestyle,"VAN ALMSICK, Franziska",Women,GER,Germany,W,Silver +Barcelona,1992,Aquatics,Swimming,4x200m freestyle relay,"FROLANDER, Lars",Men,SWE,Sweden,M,Silver +Barcelona,1992,Aquatics,Swimming,200m individual medley,"CZENE, Attila",Men,HUN,Hungary,M,Bronze +Barcelona,1992,Aquatics,Swimming,200m individual medley,"BURGESS, Gregory",Men,USA,United States,M,Silver +Barcelona,1992,Aquatics,Swimming,4x100m medley relay,"SANDERS, Summer",Women,USA,United States,W,Gold +Barcelona,1992,Aquatics,Swimming,4x100m medley relay,"DÖRRIS, Jana",Women,GER,Germany,W,Silver +Barcelona,1992,Aquatics,Swimming,4x100m freestyle relay,"HADDING, Annette",Women,GER,Germany,W,Bronze +Barcelona,1992,Aquatics,Swimming,100m breaststroke,"DIEBEL, Nelson",Men,USA,United States,M,Gold +Barcelona,1992,Aquatics,Swimming,50m freestyle,"BIONDI, Matthew",Men,USA,United States,M,Silver +Barcelona,1992,Aquatics,Swimming,50m freestyle,"YANG, Wenyi",Women,CHN,China,W,Gold +Barcelona,1992,Aquatics,Swimming,200m backstroke,"HASE, Dagmar",Women,GER,Germany,W,Silver +Barcelona,1992,Aquatics,Swimming,200m breaststroke,"GILLINGHAM, Nick",Men,GBR,United Kingdom,M,Bronze +Barcelona,1992,Aquatics,Swimming,4x100m freestyle relay,"ZESNER, Steffen",Men,GER,Germany,M,Bronze +Barcelona,1992,Aquatics,Swimming,4x100m medley relay,"ROUSE, Jeff Norman",Men,USA,United States,M,Gold +Barcelona,1992,Aquatics,Swimming,4x100m freestyle relay,"JORDAN, Shaun",Men,USA,United States,M,Gold +Barcelona,1992,Aquatics,Swimming,4x100m freestyle relay,"POPOV, Alexander",Men,EUN,Unified team,M,Silver +Barcelona,1992,Aquatics,Swimming,1500m freestyle,"PERKINS, Kieren John",Men,AUS,Australia,M,Gold +Barcelona,1992,Aquatics,Swimming,400m individual medley,"LIN, Li",Women,CHN,China,W,Silver +Barcelona,1992,Aquatics,Swimming,400m freestyle,"EVANS, Janet",Women,USA,United States,W,Silver +Barcelona,1992,Aquatics,Swimming,4x100m medley relay,"DIEBEL, Nelson",Men,USA,United States,M,Gold +Barcelona,1992,Aquatics,Swimming,4x100m medley relay,"MORALES, Pablo",Men,USA,United States,M,Gold +Barcelona,1992,Aquatics,Swimming,50m freestyle,"MARTINO, Angel",Women,USA,United States,W,Bronze +Barcelona,1992,Aquatics,Swimming,200m individual medley,"SANDERS, Summer",Women,USA,United States,W,Silver +Barcelona,1992,Aquatics,Swimming,100m breaststroke,"ROZSA, Norbert",Men,HUN,Hungary,M,Silver +Barcelona,1992,Aquatics,Swimming,800m freestyle,"EVANS, Janet",Women,USA,United States,W,Gold +Barcelona,1992,Aquatics,Swimming,100m breaststroke,"RUDKOVSKAYA, Elena",Women,EUN,Unified team,W,Gold +Barcelona,1992,Aquatics,Swimming,4x100m medley relay,"TEWKSBURY, Mark",Men,CAN,Canada,M,Bronze +Barcelona,1992,Aquatics,Swimming,4x100m freestyle relay,"BIONDI, Matthew",Men,USA,United States,M,Gold +Barcelona,1992,Aquatics,Swimming,4x100m medley relay,"HASE, Dagmar",Women,GER,Germany,W,Silver +Barcelona,1992,Aquatics,Swimming,4x100m medley relay,"KULIKOV, Vladislav",Men,EUN,Unified team,M,Silver +Barcelona,1992,Aquatics,Swimming,4x100m medley relay,"AHMANN-LEIGHTON, Christine",Women,USA,United States,W,Gold +Barcelona,1992,Aquatics,Swimming,200m individual medley,"LIN, Li",Women,CHN,China,W,Gold +Barcelona,1992,Aquatics,Swimming,4x100m freestyle relay,"TAIANOVITCH, Veniamin",Men,EUN,Unified team,M,Silver +Barcelona,1992,Aquatics,Swimming,4x200m freestyle relay,"HUDEPOHL, Joseph",Men,USA,United States,M,Bronze +Barcelona,1992,Aquatics,Swimming,4x200m freestyle relay,"LEPIKOV, Dmitri",Men,EUN,Unified team,M,Gold +Barcelona,1992,Aquatics,Swimming,400m freestyle,"HASE, Dagmar",Women,GER,Germany,W,Gold +Barcelona,1992,Aquatics,Swimming,200m breaststroke,"ROZSA, Norbert",Men,HUN,Hungary,M,Silver +Barcelona,1992,Aquatics,Swimming,4x100m freestyle relay,"HAISLETT, Nicole Lee",Women,USA,United States,W,Gold +Barcelona,1992,Aquatics,Swimming,4x200m freestyle relay,"JAFFE, Scott",Men,USA,United States,M,Bronze +Barcelona,1992,Aquatics,Swimming,4x100m medley relay,"BIONDI, Matthew",Men,USA,United States,M,Gold +Barcelona,1992,Aquatics,Swimming,4x100m freestyle relay,"LE, Jingyi",Women,CHN,China,W,Silver +Barcelona,1992,Aquatics,Swimming,200m butterfly,"LOADER, Danyon Joseph",Men,NZL,New Zealand,M,Silver +Barcelona,1992,Aquatics,Swimming,400m freestyle,"LEWIS, Hayley Jane",Women,AUS,Australia,W,Bronze +Barcelona,1992,Aquatics,Swimming,4x100m freestyle relay,"MARTINO, Angel",Women,USA,United States,W,Gold +Barcelona,1992,Aquatics,Swimming,100m butterfly,"MORALES, Pablo",Men,USA,United States,M,Gold +Barcelona,1992,Aquatics,Swimming,4x200m freestyle relay,"SADOVYI, Evgueni",Men,EUN,Unified team,M,Gold +Barcelona,1992,Aquatics,Swimming,100m backstroke,"EGERSZEGI, Krisztina",Women,HUN,Hungary,W,Gold +Barcelona,1992,Aquatics,Swimming,400m individual medley,"NAMESNIK, Eric",Men,USA,United States,M,Silver +Barcelona,1992,Aquatics,Swimming,4x100m freestyle relay,"VAN ALMSICK, Franziska",Women,GER,Germany,W,Bronze +Barcelona,1992,Aquatics,Swimming,4x100m medley relay,"RUDKOVSKAYA, Elena",Women,EUN,Unified team,W,Bronze +Barcelona,1992,Aquatics,Swimming,4x100m freestyle relay,"THOMAS, Joel",Men,USA,United States,M,Gold +Barcelona,1992,Aquatics,Swimming,400m individual medley,"SANDERS, Summer",Women,USA,United States,W,Bronze +Barcelona,1992,Aquatics,Swimming,4x100m freestyle relay,"TAPPIN, Ashley T",Women,USA,United States,W,Gold +Barcelona,1992,Aquatics,Swimming,4x100m freestyle relay,"JAGER, Thomas Michael",Men,USA,United States,M,Gold +Barcelona,1992,Aquatics,Swimming,100m butterfly,"QIAN, Hong",Women,CHN,China,W,Gold +Barcelona,1992,Aquatics,Swimming,4x100m medley relay,"SELKOV, Vladimir",Men,EUN,Unified team,M,Silver +Barcelona,1992,Aquatics,Swimming,200m butterfly,"WANG, Xiaohong",Women,CHN,China,W,Silver +Barcelona,1992,Aquatics,Swimming,4x200m freestyle relay,"OLSEN, Jon",Men,USA,United States,M,Bronze +Barcelona,1992,Aquatics,Swimming,200m butterfly,"SANDERS, Summer",Women,USA,United States,W,Gold +Barcelona,1992,Aquatics,Swimming,4x200m freestyle relay,"MOUKHINE, Jouri",Men,EUN,Unified team,M,Gold +Barcelona,1992,Aquatics,Swimming,50m freestyle,"JAGER, Thomas Michael",Men,USA,United States,M,Bronze +Barcelona,1992,Aquatics,Swimming,100m breaststroke,"RILEY, Samantha Linette",Women,AUS,Australia,W,Bronze +Barcelona,1992,Aquatics,Swimming,200m butterfly,"ESPOSITO, Franck",Men,FRA,France,M,Bronze +Barcelona,1992,Aquatics,Swimming,4x100m freestyle relay,"KHNYKIN, Pavlo",Men,EUN,Unified team,M,Silver +Barcelona,1992,Aquatics,Swimming,4x100m medley relay,"LOVELESS, Lea",Women,USA,United States,W,Gold +Barcelona,1992,Aquatics,Swimming,4x100m medley relay,"BRENDEL, Daniela",Women,GER,Germany,W,Silver +Barcelona,1992,Aquatics,Swimming,4x200m freestyle relay,"WERNER, Tommy",Men,SWE,Sweden,M,Silver +Barcelona,1992,Aquatics,Swimming,100m backstroke,"ROUSE, Jeff Norman",Men,USA,United States,M,Silver +Barcelona,1992,Aquatics,Swimming,1500m freestyle,"HOFFMANN, Jörg",Men,GER,Germany,M,Bronze +Barcelona,1992,Aquatics,Swimming,4x100m freestyle relay,"TRÖGER, Christian",Men,GER,Germany,M,Bronze +Barcelona,1992,Aquatics,Swimming,100m butterfly,"AHMANN-LEIGHTON, Christine",Women,USA,United States,W,Silver +Barcelona,1992,Aquatics,Swimming,4x100m freestyle relay,"ZHUANG, Yong",Women,CHN,China,W,Silver +Barcelona,1992,Aquatics,Swimming,4x200m freestyle relay,"KOUDRIAVTSEV, Alexei",Men,EUN,Unified team,M,Gold +Barcelona,1992,Aquatics,Swimming,100m backstroke,"LOVELESS, Lea",Women,USA,United States,W,Bronze +Barcelona,1992,Aquatics,Swimming,4x100m medley relay,"CLEVELAND, Jonathan Thomas",Men,CAN,Canada,M,Bronze +Barcelona,1992,Aquatics,Swimming,4x100m medley relay,"USTROWSKI, Bettina",Women,GER,Germany,W,Silver +Barcelona,1992,Aquatics,Swimming,400m freestyle,"SADOVYI, Evgueni",Men,EUN,Unified team,M,Gold +Barcelona,1992,Aquatics,Swimming,100m backstroke,"BERKOFF, David Charles",Men,USA,United States,M,Bronze +Barcelona,1992,Aquatics,Swimming,4x100m freestyle relay,"STELLMACH, Manuela",Women,GER,Germany,W,Bronze +Barcelona,1992,Aquatics,Swimming,200m backstroke,"SELKOV, Vladimir",Men,EUN,Unified team,M,Silver +Barcelona,1992,Aquatics,Swimming,400m freestyle,"HOLMERTZ, Anders",Men,SWE,Sweden,M,Bronze +Barcelona,1992,Aquatics,Swimming,4x100m medley relay,"BERKOFF, David Charles",Men,USA,United States,M,Gold +Barcelona,1992,Aquatics,Swimming,4x100m freestyle relay,"KIELGASS, Kerstin",Women,GER,Germany,W,Bronze +Barcelona,1992,Aquatics,Swimming,4x100m medley relay,"OLSEN, Jon",Men,USA,United States,M,Gold +Barcelona,1992,Aquatics,Swimming,200m individual medley,"HUNGER, Daniela",Women,GER,Germany,W,Bronze +Barcelona,1992,Aquatics,Swimming,4x100m medley relay,"KIRITCHENKO, Olga",Women,EUN,Unified team,W,Bronze +Barcelona,1992,Aquatics,Swimming,100m butterfly,"NESTY, Anthony Conrad",Men,SUR,Suriname,M,Bronze +Barcelona,1992,Aquatics,Swimming,4x100m freestyle relay,"RICHTER, Dirk",Men,GER,Germany,M,Bronze +Barcelona,1992,Aquatics,Swimming,4x200m freestyle relay,"JORGENSEN, Daniel Plong",Men,USA,United States,M,Bronze +Barcelona,1992,Aquatics,Swimming,4x100m medley relay,"MESHCHERYAKOVA, Natalia",Women,EUN,Unified team,W,Bronze +Barcelona,1992,Aquatics,Synchronized S.,duet,"JOSEPHSON, Karen",Women,USA,United States,W,Gold +Barcelona,1992,Aquatics,Synchronized S.,duet,"JOSEPHSON, Sarah",Women,USA,United States,W,Gold +Barcelona,1992,Aquatics,Synchronized S.,duet,"TAKAYAMA, Aki",Women,JPN,Japan,W,Bronze +Barcelona,1992,Aquatics,Synchronized S.,solo,"FRECHETTE, Sylvie",Women,CAN,Canada,W,Gold +Barcelona,1992,Aquatics,Synchronized S.,solo,"OKUNO, Fumiko",Women,JPN,Japan,W,Bronze +Barcelona,1992,Aquatics,Synchronized S.,solo,"BABB-SPRAGUE, Kristen",Women,USA,United States,W,Gold +Barcelona,1992,Aquatics,Synchronized S.,duet,"OKUNO, Fumiko",Women,JPN,Japan,W,Bronze +Barcelona,1992,Aquatics,Synchronized S.,duet,"VILAGOS, Penny",Women,CAN,Canada,W,Silver +Barcelona,1992,Aquatics,Synchronized S.,duet,"VILAGOS, Vicky",Women,CAN,Canada,W,Silver +Barcelona,1992,Aquatics,Water polo,water polo,"KARABOUTOV, Vladimir",Men,EUN,Unified team,M,Bronze +Barcelona,1992,Aquatics,Water polo,water polo,"OGORODNIKOV, Alexandre",Men,EUN,Unified team,M,Bronze +Barcelona,1992,Aquatics,Water polo,water polo,"PEDREROL, Sergi",Men,ESP,Spain,M,Silver +Barcelona,1992,Aquatics,Water polo,water polo,"BELOFASTOV, Andrei",Men,EUN,Unified team,M,Bronze +Barcelona,1992,Aquatics,Water polo,water polo,"PORZIO, Giuseppe",Men,ITA,Italy,M,Gold +Barcelona,1992,Aquatics,Water polo,water polo,"GONZALEZ JUNQUERA, Marco Antonio",Men,ESP,Spain,M,Silver +Barcelona,1992,Aquatics,Water polo,water polo,"SANCHEZ ALARCON, Ricardo",Men,ESP,Spain,M,Silver +Barcelona,1992,Aquatics,Water polo,water polo,"POMILIO, Amedeo",Men,ITA,Italy,M,Gold +Barcelona,1992,Aquatics,Water polo,water polo,"NAUMOV, Sergey",Men,EUN,Unified team,M,Bronze +Barcelona,1992,Aquatics,Water polo,water polo,"MICHAVILA JOVER, Ruben",Men,ESP,Spain,M,Silver +Barcelona,1992,Aquatics,Water polo,water polo,"OCA, Miguel Angel",Men,ESP,Spain,M,Silver +Barcelona,1992,Aquatics,Water polo,water polo,"BALLART, Daniel",Men,ESP,Spain,M,Silver +Barcelona,1992,Aquatics,Water polo,water polo,"GARCIA AGUADO, Pedro",Men,ESP,Spain,M,Silver +Barcelona,1992,Aquatics,Water polo,water polo,"SANS, Jordi",Men,ESP,Spain,M,Silver +Barcelona,1992,Aquatics,Water polo,water polo,"GANDOLFI, Ferdinando",Men,ITA,Italy,M,Gold +Barcelona,1992,Aquatics,Water polo,water polo,"KOVALENKO, Alexandre",Men,EUN,Unified team,M,Bronze +Barcelona,1992,Aquatics,Water polo,water polo,"FIORILLO, Mario",Men,ITA,Italy,M,Gold +Barcelona,1992,Aquatics,Water polo,water polo,"GOMEZ, Salvador",Men,ESP,Spain,M,Silver +Barcelona,1992,Aquatics,Water polo,water polo,"CAMPAGNA, Alessandro",Men,ITA,Italy,M,Gold +Barcelona,1992,Aquatics,Water polo,water polo,"AVERAIMO, Gianni",Men,ITA,Italy,M,Gold +Barcelona,1992,Aquatics,Water polo,water polo,"BOVO, Alessandro",Men,ITA,Italy,M,Gold +Barcelona,1992,Aquatics,Water polo,water polo,"CALDARELLA, Paolo",Men,ITA,Italy,M,Gold +Barcelona,1992,Aquatics,Water polo,water polo,"D'ALTRUI, Marco",Men,ITA,Italy,M,Gold +Barcelona,1992,Aquatics,Water polo,water polo,"CHARONOV, Evgueni",Men,EUN,Unified team,M,Bronze +Barcelona,1992,Aquatics,Water polo,water polo,"APANASSENKO, Dmitri",Men,EUN,Unified team,M,Bronze +Barcelona,1992,Aquatics,Water polo,water polo,"SILIPO, Carlo",Men,ITA,Italy,M,Gold +Barcelona,1992,Aquatics,Water polo,water polo,"GORSHKOV, Dmitry",Men,EUN,Unified team,M,Bronze +Barcelona,1992,Aquatics,Water polo,water polo,"ESTIARTE, Manuel",Men,ESP,Spain,M,Silver +Barcelona,1992,Aquatics,Water polo,water polo,"TCHIGUIR, Alexandre",Men,EUN,Unified team,M,Bronze +Barcelona,1992,Aquatics,Water polo,water polo,"PICO LLADO, Jose",Men,ESP,Spain,M,Silver +Barcelona,1992,Aquatics,Water polo,water polo,"KOLOTOV, Aleksandr",Men,EUN,Unified team,M,Bronze +Barcelona,1992,Aquatics,Water polo,water polo,"KOZLOV, Nikolai",Men,EUN,Unified team,M,Bronze +Barcelona,1992,Aquatics,Water polo,water polo,"FERRETTI, Massimiliano",Men,ITA,Italy,M,Gold +Barcelona,1992,Aquatics,Water polo,water polo,"MARKOTCH, Serguei",Men,EUN,Unified team,M,Bronze +Barcelona,1992,Aquatics,Water polo,water polo,"ATTOLICO, Francesco",Men,ITA,Italy,M,Gold +Barcelona,1992,Aquatics,Water polo,water polo,"ROLLAN, Jesus",Men,ESP,Spain,M,Silver +Barcelona,1992,Aquatics,Water polo,water polo,"PORZIO, Francesco",Men,ITA,Italy,M,Gold +Barcelona,1992,Aquatics,Water polo,water polo,"SILVESTRE SANCHEZ, Manuel",Men,ESP,Spain,M,Silver +Barcelona,1992,Archery,Archery,team (FITA Olympic round - 70m),"WANG, Hong",Women,CHN,China,W,Silver +Barcelona,1992,Archery,Archery,individual (FITA Olympic round - 70m),"CHUNG, Jae-Hun",Men,KOR,"Korea, South",M,Silver +Barcelona,1992,Archery,Archery,team (FITA Olympic round - 70m),"VALEEVA, Natalia",Women,EUN,Unified team,W,Bronze +Barcelona,1992,Archery,Archery,team (FITA Olympic round - 70m),"ARZHANNIKOVA, Lyudmila",Women,EUN,Unified team,W,Bronze +Barcelona,1992,Archery,Archery,individual (FITA Olympic round - 70m),"CHO, Youn-Jeong",Women,KOR,"Korea, South",W,Gold +Barcelona,1992,Archery,Archery,team (FITA Olympic round - 70m),"LEE, Eun Kyung",Women,KOR,"Korea, South",W,Gold +Barcelona,1992,Archery,Archery,team (FITA Olympic round - 70m),"HOLGADO ROMERO, Juan Carlos",Men,ESP,Spain,M,Gold +Barcelona,1992,Archery,Archery,team (FITA Olympic round - 70m),"LIPPONEN, Jari",Men,FIN,Finland,M,Silver +Barcelona,1992,Archery,Archery,individual (FITA Olympic round - 70m),"FLUTE, Sebastien",Men,FRA,France,M,Gold +Barcelona,1992,Archery,Archery,team (FITA Olympic round - 70m),"VAZQUEZ, Antonio",Men,ESP,Spain,M,Gold +Barcelona,1992,Archery,Archery,team (FITA Olympic round - 70m),"WANG, Xiaozhu",Women,CHN,China,W,Silver +Barcelona,1992,Archery,Archery,individual (FITA Olympic round - 70m),"TERRY, Simon",Men,GBR,United Kingdom,M,Bronze +Barcelona,1992,Archery,Archery,individual (FITA Olympic round - 70m),"KIM, Soo-Nyung",Women,KOR,"Korea, South",W,Silver +Barcelona,1992,Archery,Archery,team (FITA Olympic round - 70m),"KIM, Soo-Nyung",Women,KOR,"Korea, South",W,Gold +Barcelona,1992,Archery,Archery,team (FITA Olympic round - 70m),"KVRIVICHVILI, Khatouna",Women,EUN,Unified team,W,Bronze +Barcelona,1992,Archery,Archery,team (FITA Olympic round - 70m),"CHO, Youn-Jeong",Women,KOR,"Korea, South",W,Gold +Barcelona,1992,Archery,Archery,team (FITA Olympic round - 70m),"TERRY, Simon",Men,GBR,United Kingdom,M,Bronze +Barcelona,1992,Archery,Archery,team (FITA Olympic round - 70m),"HALLARD, Steven",Men,GBR,United Kingdom,M,Bronze +Barcelona,1992,Archery,Archery,individual (FITA Olympic round - 70m),"VALEEVA, Natalia",Women,EUN,Unified team,W,Bronze +Barcelona,1992,Archery,Archery,team (FITA Olympic round - 70m),"MENENDEZ VALLIN, Alfonso",Men,ESP,Spain,M,Gold +Barcelona,1992,Archery,Archery,team (FITA Olympic round - 70m),"FALCK, Ismo Kalevi",Men,FIN,Finland,M,Silver +Barcelona,1992,Archery,Archery,team (FITA Olympic round - 70m),"PRIESTMAN, Richard John",Men,GBR,United Kingdom,M,Bronze +Barcelona,1992,Archery,Archery,team (FITA Olympic round - 70m),"POIKOLAINEN, Tomi",Men,FIN,Finland,M,Silver +Barcelona,1992,Archery,Archery,team (FITA Olympic round - 70m),"MA, Xiangjun",Women,CHN,China,W,Silver +Barcelona,1992,Athletics,Athletics,400m,"WATTS, Quincy",Men,USA,United States,M,Gold +Barcelona,1992,Athletics,Athletics,4x100m relay,"BURRELL, Leroy",Men,USA,United States,M,Gold +Barcelona,1992,Athletics,Athletics,discus throw,"KHRISTOVA, Tzvetanka Pavlova",Women,BUL,Bulgaria,W,Silver +Barcelona,1992,Athletics,Athletics,5000m,"BITOK, Paul",Men,KEN,Kenya,M,Silver +Barcelona,1992,Athletics,Athletics,110m hurdles,"DEES, Tony",Men,USA,United States,M,Silver +Barcelona,1992,Athletics,Athletics,4x400m relay,"HILL, Denean",Women,USA,United States,W,Silver +Barcelona,1992,Athletics,Athletics,hammer throw,"NIKOULINE, Igor",Men,EUN,Unified team,M,Bronze +Barcelona,1992,Athletics,Athletics,20km walk,"LEBLANC, Guillaume",Men,CAN,Canada,M,Silver +Barcelona,1992,Athletics,Athletics,4x100m relay,"EZINWA, Osmond",Men,NGR,Nigeria,M,Silver +Barcelona,1992,Athletics,Athletics,4x100m relay,"MALTCHOUGUINA, Galina",Women,EUN,Unified team,W,Silver +Barcelona,1992,Athletics,Athletics,10000m walk,"LI, Chunxiu",Women,CHN,China,W,Bronze +Barcelona,1992,Athletics,Athletics,triple jump,"CONLEY, Mike",Men,USA,United States,M,Gold +Barcelona,1992,Athletics,Athletics,20km walk,"PLAZA MONTERO, Daniel",Men,ESP,Spain,M,Gold +Barcelona,1992,Athletics,Athletics,4x400m relay,"JENKINS, Charles L.",Men,USA,United States,M,Gold +Barcelona,1992,Athletics,Athletics,400m hurdles,"AKABUSI, Kriss Kezie Uche",Men,GBR,United Kingdom,M,Bronze +Barcelona,1992,Athletics,Athletics,4x400m relay,"WATTS, Quincy",Men,USA,United States,M,Gold +Barcelona,1992,Athletics,Athletics,high jump,"PARTYKA, Artur",Men,POL,Poland,M,Bronze +Barcelona,1992,Athletics,Athletics,3000m steeplechase,"BIRIR, Mathew",Men,KEN,Kenya,M,Gold +Barcelona,1992,Athletics,Athletics,4x100m relay,"UTONDU, Beatrice",Women,NGR,Nigeria,W,Bronze +Barcelona,1992,Athletics,Athletics,4x100m relay,"ISASI, Joel",Men,CUB,Cuba,M,Bronze +Barcelona,1992,Athletics,Athletics,20km walk,"DE BENEDICTIS, Giovanni",Men,ITA,Italy,M,Bronze +Barcelona,1992,Athletics,Athletics,4x400m relay,"TELLEZ, Norberto",Men,CUB,Cuba,M,Silver +Barcelona,1992,Athletics,Athletics,400m hurdles,"FARMER-PATRICK, Sandra",Women,USA,United States,W,Silver +Barcelona,1992,Athletics,Athletics,pole vault,"TRANDENKOV, Igor",Men,EUN,Unified team,M,Silver +Barcelona,1992,Athletics,Athletics,400m,"KITUR, Samson",Men,KEN,Kenya,M,Bronze +Barcelona,1992,Athletics,Athletics,400m hurdles,"VICKERS, Janeene",Women,USA,United States,W,Bronze +Barcelona,1992,Athletics,Athletics,1500m,"QU, Yunxia",Women,CHN,China,W,Bronze +Barcelona,1992,Athletics,Athletics,1500m,"BOULMERKA, Hassiba",Women,ALG,Algeria,W,Gold +Barcelona,1992,Athletics,Athletics,4x100m relay,"BOGOSLOVSKAYA, Olga",Women,EUN,Unified team,W,Silver +Barcelona,1992,Athletics,Athletics,800m,"KIPROTICH, Nixon",Men,KEN,Kenya,M,Silver +Barcelona,1992,Athletics,Athletics,4x100m relay,"GUIDRY-WHITE, Carlette D.",Women,USA,United States,W,Gold +Barcelona,1992,Athletics,Athletics,heptathlon,"JOYNER-KERSEE, Jackie",Women,USA,United States,W,Gold +Barcelona,1992,Athletics,Athletics,10000m walk,"NIKOLAYEVA, Yelena",Women,EUN,Unified team,W,Silver +Barcelona,1992,Athletics,Athletics,marathon,"ARIMORI, Yuko",Women,JPN,Japan,W,Silver +Barcelona,1992,Athletics,Athletics,1500m,"EL BASIR, Rachid",Men,MAR,Morocco,M,Silver +Barcelona,1992,Athletics,Athletics,high jump,"HENKEL, Heike",Women,GER,Germany,W,Gold +Barcelona,1992,Athletics,Athletics,shot put,"HUANG, Zhihong",Women,CHN,China,W,Silver +Barcelona,1992,Athletics,Athletics,javelin throw,"RATY, Seppo Henrik",Men,FIN,Finland,M,Silver +Barcelona,1992,Athletics,Athletics,4x400m relay,"DOUGLAS, Sandra Marie",Women,GBR,United Kingdom,W,Bronze +Barcelona,1992,Athletics,Athletics,10000m,"SKAH, Khalid",Men,MAR,Morocco,M,Gold +Barcelona,1992,Athletics,Athletics,4x400m relay,"JOHNSON, Michael",Men,USA,United States,M,Gold +Barcelona,1992,Athletics,Athletics,marathon,"MORISHITA, Koichi",Men,JPN,Japan,M,Silver +Barcelona,1992,Athletics,Athletics,high jump,"QUINTERO, Joanet",Women,CUB,Cuba,W,Bronze +Barcelona,1992,Athletics,Athletics,4x100m relay,"JETT, James",Men,USA,United States,M,Gold +Barcelona,1992,Athletics,Athletics,100m,"PRIVALOVA, Irina",Women,EUN,Unified team,W,Bronze +Barcelona,1992,Athletics,Athletics,10000m,"CHELIMO, Richard",Men,KEN,Kenya,M,Silver +Barcelona,1992,Athletics,Athletics,800m,"TANUI, William",Men,KEN,Kenya,M,Gold +Barcelona,1992,Athletics,Athletics,4x400m relay,"GUNNELL, Sally Janet Jane",Women,GBR,United Kingdom,W,Bronze +Barcelona,1992,Athletics,Athletics,800m,"NURUTDINOVA, Lilia",Women,EUN,Unified team,W,Silver +Barcelona,1992,Athletics,Athletics,4x400m relay,"DJIGALOVA, Lioudmila",Women,EUN,Unified team,W,Gold +Barcelona,1992,Athletics,Athletics,hammer throw,"ABDUVALIEV, Andrey",Men,EUN,Unified team,M,Gold +Barcelona,1992,Athletics,Athletics,decathlon,"ZMELIK, Robert",Men,TCH,Czechoslovakia,M,Gold +Barcelona,1992,Athletics,Athletics,200m,"BATES, Michael D.",Men,USA,United States,M,Bronze +Barcelona,1992,Athletics,Athletics,4x100m relay,"ASHFORD, Evelyn",Women,USA,United States,W,Gold +Barcelona,1992,Athletics,Athletics,4x400m relay,"MILES, Jearl",Women,USA,United States,W,Silver +Barcelona,1992,Athletics,Athletics,javelin throw,"BACKLEY, Steve",Men,GBR,United Kingdom,M,Bronze +Barcelona,1992,Athletics,Athletics,110m hurdles,"PIERCE, Jack",Men,USA,United States,M,Bronze +Barcelona,1992,Athletics,Athletics,triple jump,"RUTHERFORD, Frank",Men,BAH,Bahamas,M,Bronze +Barcelona,1992,Athletics,Athletics,long jump,"JOYNER-KERSEE, Jackie",Women,USA,United States,W,Bronze +Barcelona,1992,Athletics,Athletics,high jump,"SOTOMAYOR, Javier",Men,CUB,Cuba,M,Gold +Barcelona,1992,Athletics,Athletics,4x100m relay,"KAYODE, Oluyemi",Men,NGR,Nigeria,M,Silver +Barcelona,1992,Athletics,Athletics,decathlon,"JOHNSON, David Allan",Men,USA,United States,M,Bronze +Barcelona,1992,Athletics,Athletics,discus throw,"COSTIAN, Daniela",Women,AUS,Australia,W,Bronze +Barcelona,1992,Athletics,Athletics,high jump,"FORSYTH, Timothy",Men,AUS,Australia,M,Bronze +Barcelona,1992,Athletics,Athletics,3000m,"ROMANOVA, Elena",Women,EUN,Unified team,W,Gold +Barcelona,1992,Athletics,Athletics,4x100m relay,"AGUILERA RUIZ, Jorge Luis",Men,CUB,Cuba,M,Bronze +Barcelona,1992,Athletics,Athletics,discus throw,"SCHULT, Jürgen",Men,GER,Germany,M,Silver +Barcelona,1992,Athletics,Athletics,10000m,"MEYER, Elana",Women,RSA,South Africa,W,Silver +Barcelona,1992,Athletics,Athletics,shot put,"KRIVELYOVA, Svetlana",Women,EUN,Unified team,W,Gold +Barcelona,1992,Athletics,Athletics,4x400m relay,"NURUTDINOVA, Lilia",Women,EUN,Unified team,W,Gold +Barcelona,1992,Athletics,Athletics,4x400m relay,"SMITH, Phylis",Women,GBR,United Kingdom,W,Bronze +Barcelona,1992,Athletics,Athletics,400m hurdles,"YOUNG, Kevin Curtis",Men,USA,United States,M,Gold +Barcelona,1992,Athletics,Athletics,4x400m relay,"KAISER, Natasha",Women,USA,United States,W,Silver +Barcelona,1992,Athletics,Athletics,marathon,"MOLLER, Lorraine Mary",Women,NZL,New Zealand,W,Bronze +Barcelona,1992,Athletics,Athletics,4x400m relay,"LEWIS, Steve",Men,USA,United States,M,Gold +Barcelona,1992,Athletics,Athletics,4x400m relay,"CHMONINA, Marina",Women,EUN,Unified team,W,Gold +Barcelona,1992,Athletics,Athletics,4x100m relay,"MITCHELL, Dennis",Men,USA,United States,M,Gold +Barcelona,1992,Athletics,Athletics,400m,"PEREC, Marie-Jose",Women,FRA,France,W,Gold +Barcelona,1992,Athletics,Athletics,javelin throw,"SHIKOLENKO, Natalia",Women,EUN,Unified team,W,Silver +Barcelona,1992,Athletics,Athletics,4x100m relay,"SIMON, Andres",Men,CUB,Cuba,M,Bronze +Barcelona,1992,Athletics,Athletics,1500m,"ROGACHEVA, Liudmila",Women,EUN,Unified team,W,Silver +Barcelona,1992,Athletics,Athletics,4x400m relay,"YOUNG, Dannette",Women,USA,United States,W,Silver +Barcelona,1992,Athletics,Athletics,50km walk,"WEIGEL, Ronald",Men,GER,Germany,M,Bronze +Barcelona,1992,Athletics,Athletics,800m,"QUIROT, Ana Fidelia",Women,CUB,Cuba,W,Bronze +Barcelona,1992,Athletics,Athletics,200m,"FREDERICKS, Frank",Men,NAM,Namibia,M,Silver +Barcelona,1992,Athletics,Athletics,4x100m relay,"MARSH, Michael",Men,USA,United States,M,Gold +Barcelona,1992,Athletics,Athletics,200m,"OTTEY-PAGE, Merlene",Women,JAM,Jamaica,W,Bronze +Barcelona,1992,Athletics,Athletics,400m hurdles,"GUNNELL, Sally Janet Jane",Women,GBR,United Kingdom,W,Gold +Barcelona,1992,Athletics,Athletics,4x100m relay,"IDEHEN, Faith",Women,NGR,Nigeria,W,Bronze +Barcelona,1992,Athletics,Athletics,shot put,"LYKHO, Viatcheslav",Men,EUN,Unified team,M,Bronze +Barcelona,1992,Athletics,Athletics,200m,"CUTHBERT, Juliet",Women,JAM,Jamaica,W,Silver +Barcelona,1992,Athletics,Athletics,4x100m relay,"LAMELA, Joel",Men,CUB,Cuba,M,Bronze +Barcelona,1992,Athletics,Athletics,4x400m relay,"RICHARDSON, Mark Ashton",Men,GBR,United Kingdom,M,Bronze +Barcelona,1992,Athletics,Athletics,decathlon,"PENALVER ASENSIO, Antonio",Men,ESP,Spain,M,Silver +Barcelona,1992,Athletics,Athletics,200m,"TORRENCE, Gwen",Women,USA,United States,W,Gold +Barcelona,1992,Athletics,Athletics,long jump,"KRAVETS, Inessa",Women,EUN,Unified team,W,Silver +Barcelona,1992,Athletics,Athletics,3000m,"DOROVSKIH, Tatiana",Women,EUN,Unified team,W,Silver +Barcelona,1992,Athletics,Athletics,4x100m relay,"IMOH, Chidi",Men,NGR,Nigeria,M,Silver +Barcelona,1992,Athletics,Athletics,heptathlon,"BRAUN, Sabine",Women,GER,Germany,W,Bronze +Barcelona,1992,Athletics,Athletics,discus throw,"MOYA, Roberto S.",Men,CUB,Cuba,M,Bronze +Barcelona,1992,Athletics,Athletics,4x400m relay,"BRYZGINA, Olga",Women,EUN,Unified team,W,Gold +Barcelona,1992,Athletics,Athletics,4x400m relay,"HERNANDEZ PRENDES, Roberto",Men,CUB,Cuba,M,Silver +Barcelona,1992,Athletics,Athletics,50km walk,"MERCENARIO CARBAJAL, Carlos",Men,MEX,Mexico,M,Silver +Barcelona,1992,Athletics,Athletics,5000m,"BAYISA, Fita",Men,ETH,Ethiopia,M,Bronze +Barcelona,1992,Athletics,Athletics,triple jump,"SIMPKINS, Charles",Men,USA,United States,M,Silver +Barcelona,1992,Athletics,Athletics,long jump,"DRECHSLER, Heike",Women,GER,Germany,W,Gold +Barcelona,1992,Athletics,Athletics,4x100m relay,"OPARA-THOMPSON, Christy Thompson",Women,NGR,Nigeria,W,Bronze +Barcelona,1992,Athletics,Athletics,long jump,"POWELL, Michael Anthony",Men,USA,United States,M,Silver +Barcelona,1992,Athletics,Athletics,3000m,"CHALMERS, Angela Frances",Women,CAN,Canada,W,Bronze +Barcelona,1992,Athletics,Athletics,javelin throw,"RENK, Silke",Women,GER,Germany,W,Gold +Barcelona,1992,Athletics,Athletics,4x100m relay,"ADENIKEN, Olapade",Men,NGR,Nigeria,M,Silver +Barcelona,1992,Athletics,Athletics,10000m,"JENNINGS, Lynn A.",Women,USA,United States,W,Bronze +Barcelona,1992,Athletics,Athletics,800m,"GRAY, Johnny Lee Jr",Men,USA,United States,M,Bronze +Barcelona,1992,Athletics,Athletics,hammer throw,"ASTAPKOVICH, Igor",Men,EUN,Unified team,M,Silver +Barcelona,1992,Athletics,Athletics,discus throw,"MARTEN, Maritza",Women,CUB,Cuba,W,Gold +Barcelona,1992,Athletics,Athletics,high jump,"CONWAY, Hollis",Men,USA,United States,M,Bronze +Barcelona,1992,Athletics,Athletics,100m hurdles,"MARTIN, La Vona Ann",Women,USA,United States,W,Silver +Barcelona,1992,Athletics,Athletics,4x400m relay,"STEVENS, Rochelle",Women,USA,United States,W,Silver +Barcelona,1992,Athletics,Athletics,4x400m relay,"HALL, Darnell",Men,USA,United States,M,Gold +Barcelona,1992,Athletics,Athletics,4x400m relay,"STOUTE, Jennifer",Women,GBR,United Kingdom,W,Bronze +Barcelona,1992,Athletics,Athletics,4x400m relay,"LADEJO, Duaine",Men,GBR,United Kingdom,M,Bronze +Barcelona,1992,Athletics,Athletics,4x100m relay,"TORRENCE, Gwen",Women,USA,United States,W,Gold +Barcelona,1992,Athletics,Athletics,1500m,"CACHO RUIZ, Fermin",Men,ESP,Spain,M,Gold +Barcelona,1992,Athletics,Athletics,4x400m relay,"REGIS, John Paul Lyndon",Men,GBR,United Kingdom,M,Bronze +Barcelona,1992,Athletics,Athletics,shot put,"STULCE, Michael D.",Men,USA,United States,M,Gold +Barcelona,1992,Athletics,Athletics,100m,"DEVERS, Gail",Women,USA,United States,W,Gold +Barcelona,1992,Athletics,Athletics,1500m,"SULAIMAN, Mohamed Ahmed",Men,QAT,Qatar,M,Bronze +Barcelona,1992,Athletics,Athletics,400m,"BRYZGINA, Olga",Women,EUN,Unified team,W,Silver +Barcelona,1992,Athletics,Athletics,4x400m relay,"HERRERA ORTIZ, Hector",Men,CUB,Cuba,M,Silver +Barcelona,1992,Athletics,Athletics,4x100m relay,"FINN, Michelle",Women,USA,United States,W,Gold +Barcelona,1992,Athletics,Athletics,heptathlon,"BELOVA, Irina",Women,EUN,Unified team,W,Silver +Barcelona,1992,Athletics,Athletics,pole vault,"GARCIA CHICO, Javier",Men,ESP,Spain,M,Bronze +Barcelona,1992,Athletics,Athletics,100m,"CHRISTIE, Linford",Men,GBR,United Kingdom,M,Gold +Barcelona,1992,Athletics,Athletics,javelin throw,"ZELEZNY, Jan",Men,TCH,Czechoslovakia,M,Gold +Barcelona,1992,Athletics,Athletics,4x400m relay,"GRINDLEY, David Allan",Men,GBR,United Kingdom,M,Bronze +Barcelona,1992,Athletics,Athletics,high jump,"SJÖBERG, Patrick",Men,SWE,Sweden,M,Silver +Barcelona,1992,Athletics,Athletics,4x400m relay,"BLACK, Roger",Men,GBR,United Kingdom,M,Bronze +Barcelona,1992,Athletics,Athletics,4x100m relay,"LEWIS, Carl",Men,USA,United States,M,Gold +Barcelona,1992,Athletics,Athletics,4x400m relay,"AKABUSI, Kriss Kezie Uche",Men,GBR,United Kingdom,M,Bronze +Barcelona,1992,Athletics,Athletics,marathon,"HWANG, Young-Cho",Men,KOR,"Korea, South",M,Gold +Barcelona,1992,Athletics,Athletics,800m,"VAN LANGEN, Ellen",Women,NED,Netherlands,W,Gold +Barcelona,1992,Athletics,Athletics,long jump,"LEWIS, Carl",Men,USA,United States,M,Gold +Barcelona,1992,Athletics,Athletics,marathon,"YEGOROVA, Valentina",Women,EUN,Unified team,W,Gold +Barcelona,1992,Athletics,Athletics,100m,"CUTHBERT, Juliet",Women,JAM,Jamaica,W,Silver +Barcelona,1992,Athletics,Athletics,4x400m relay,"TORRENCE, Gwen",Women,USA,United States,W,Silver +Barcelona,1992,Athletics,Athletics,50km walk,"PERLOV, Andrey",Men,EUN,Unified team,M,Gold +Barcelona,1992,Athletics,Athletics,javelin throw,"FORKEL, Karen",Women,GER,Germany,W,Bronze +Barcelona,1992,Athletics,Athletics,100m hurdles,"DONKOVA, Yordanka",Women,BUL,Bulgaria,W,Bronze +Barcelona,1992,Athletics,Athletics,4x100m relay,"TRANDENKOVA, Marina",Women,EUN,Unified team,W,Silver +Barcelona,1992,Athletics,Athletics,shot put,"DOEHRING, James",Men,USA,United States,M,Silver +Barcelona,1992,Athletics,Athletics,4x400m relay,"MARTINEZ DESPAIGNE, Lazaro",Men,CUB,Cuba,M,Silver +Barcelona,1992,Athletics,Athletics,long jump,"GREENE, Joe",Men,USA,United States,M,Bronze +Barcelona,1992,Athletics,Athletics,200m,"MARSH, Michael",Men,USA,United States,M,Gold +Barcelona,1992,Athletics,Athletics,4x100m relay,"JONES, Esther",Women,USA,United States,W,Gold +Barcelona,1992,Athletics,Athletics,pole vault,"TARASOV, Maksim",Men,EUN,Unified team,M,Gold +Barcelona,1992,Athletics,Athletics,4x400m relay,"ROUZINA, Yelena",Women,EUN,Unified team,W,Gold +Barcelona,1992,Athletics,Athletics,4x100m relay,"PRIVALOVA, Irina",Women,EUN,Unified team,W,Silver +Barcelona,1992,Athletics,Athletics,100m,"FREDERICKS, Frank",Men,NAM,Namibia,M,Silver +Barcelona,1992,Athletics,Athletics,10000m walk,"CHEN, Yueling",Women,CHN,China,W,Gold +Barcelona,1992,Athletics,Athletics,10000m,"ABEBE, Addis",Men,ETH,Ethiopia,M,Bronze +Barcelona,1992,Athletics,Athletics,4x100m relay,"EZINWA, Davidson",Men,NGR,Nigeria,M,Silver +Barcelona,1992,Athletics,Athletics,110m hurdles,"MCKOY, Mark",Men,CAN,Canada,M,Gold +Barcelona,1992,Athletics,Athletics,100m hurdles,"PATOULIDOU, Paraskevi Voula",Women,GRE,Greece,W,Gold +Barcelona,1992,Athletics,Athletics,400m hurdles,"GRAHAM, Winthrop",Men,JAM,Jamaica,M,Silver +Barcelona,1992,Athletics,Athletics,3000m steeplechase,"SANG, Patrick",Men,KEN,Kenya,M,Silver +Barcelona,1992,Athletics,Athletics,4x400m relay,"NAZAROVA, Olga",Women,EUN,Unified team,W,Gold +Barcelona,1992,Athletics,Athletics,4x100m relay,"ONYALI, Mary",Women,NGR,Nigeria,W,Bronze +Barcelona,1992,Athletics,Athletics,10000m,"TULU, Derartu",Women,ETH,Ethiopia,W,Gold +Barcelona,1992,Athletics,Athletics,4x400m relay,"VALMON, Andrew",Men,USA,United States,M,Gold +Barcelona,1992,Athletics,Athletics,discus throw,"UBARTAS, Romas",Men,LTU,Lithuania,M,Gold +Barcelona,1992,Athletics,Athletics,3000m steeplechase,"MUTWOL, William",Men,KEN,Kenya,M,Bronze +Barcelona,1992,Athletics,Athletics,100m,"MITCHELL, Dennis",Men,USA,United States,M,Bronze +Barcelona,1992,Athletics,Athletics,400m,"LEWIS, Steve",Men,USA,United States,M,Silver +Barcelona,1992,Athletics,Athletics,marathon,"FREIGANG, Stephan Timo",Men,GER,Germany,M,Bronze +Barcelona,1992,Athletics,Athletics,high jump,"ASTAFEI, Galina",Women,ROU,Romania,W,Silver +Barcelona,1992,Athletics,Athletics,5000m,"BAUMANN, Dieter",Men,GER,Germany,M,Gold +Barcelona,1992,Athletics,Athletics,shot put,"NEIMKE, Kathrin",Women,GER,Germany,W,Bronze +Barcelona,1992,Athletics,Athletics,400m,"RESTREPO GAVIRIA, Ximena",Women,COL,Colombia,W,Bronze +Barcelona,1992,Badminton,Badminton,singles,"BANG, Soo-Hyun",Women,KOR,"Korea, South",W,Silver +Barcelona,1992,Badminton,Badminton,doubles,"SIDEK, Razif",Men,MAS,Malaysia,M,Bronze +Barcelona,1992,Badminton,Badminton,doubles,"LIN, Yanfen",Women,CHN,China,W,Bronze +Barcelona,1992,Badminton,Badminton,doubles,"YAO, Fen",Women,CHN,China,W,Bronze +Barcelona,1992,Badminton,Badminton,singles,"WIRANATA, Ardy Bernardus",Men,INA,Indonesia,M,Silver +Barcelona,1992,Badminton,Badminton,doubles,"TIAN, Bingyi",Men,CHN,China,M,Bronze +Barcelona,1992,Badminton,Badminton,doubles,"HWANG, Hae-Young",Women,KOR,"Korea, South",W,Gold +Barcelona,1992,Badminton,Badminton,singles,"TANG, Jiuhong",Women,CHN,China,W,Bronze +Barcelona,1992,Badminton,Badminton,doubles,"SHIM, Eun-Jung",Women,KOR,"Korea, South",W,Bronze +Barcelona,1992,Badminton,Badminton,doubles,"LI, Yongbo",Men,CHN,China,M,Bronze +Barcelona,1992,Badminton,Badminton,singles,"BUDI KUSUMA, Alan",Men,INA,Indonesia,M,Gold +Barcelona,1992,Badminton,Badminton,doubles,"GIL, Young-Ah",Women,KOR,"Korea, South",W,Bronze +Barcelona,1992,Badminton,Badminton,doubles,"SIDEK, Rashid",Men,MAS,Malaysia,M,Bronze +Barcelona,1992,Badminton,Badminton,doubles,"NONG, Qunhua",Women,CHN,China,W,Silver +Barcelona,1992,Badminton,Badminton,doubles,"KIM, Moon-Soo",Men,KOR,"Korea, South",M,Gold +Barcelona,1992,Badminton,Badminton,singles,"STUER-LAURIDSEN, Thomas",Men,DEN,Denmark,M,Bronze +Barcelona,1992,Badminton,Badminton,doubles,"GUAN, Weizhen",Women,CHN,China,W,Silver +Barcelona,1992,Badminton,Badminton,doubles,"GUNAWAN, Rudy",Men,INA,Indonesia,M,Silver +Barcelona,1992,Badminton,Badminton,singles,"SUSANTO, Hermawan",Men,INA,Indonesia,M,Bronze +Barcelona,1992,Badminton,Badminton,doubles,"PARK, Joo-Bong",Men,KOR,"Korea, South",M,Gold +Barcelona,1992,Badminton,Badminton,doubles,"CHUNG, So-Young",Women,KOR,"Korea, South",W,Gold +Barcelona,1992,Badminton,Badminton,doubles,"HARTONO, Eddy",Men,INA,Indonesia,M,Silver +Barcelona,1992,Badminton,Badminton,singles,"HUANG, Hua",Women,CHN,China,W,Bronze +Barcelona,1992,Badminton,Badminton,singles,"SUSANTI, Susi",Women,INA,Indonesia,W,Gold +Barcelona,1992,Baseball,Baseball,baseball,"KINDELAN, Orestes",Men,CUB,Cuba,M,Gold +Barcelona,1992,Baseball,Baseball,baseball,"ESTRADA, Jose Antonio",Men,CUB,Cuba,M,Gold +Barcelona,1992,Baseball,Baseball,baseball,"KAWABATA, Shinichiro",Men,JPN,Japan,M,Bronze +Barcelona,1992,Baseball,Baseball,baseball,"NAKAMOTO, Hiroshi",Men,JPN,Japan,M,Bronze +Barcelona,1992,Baseball,Baseball,baseball,"ARROJO AVILA, Rolando",Men,CUB,Cuba,M,Gold +Barcelona,1992,Baseball,Baseball,baseball,"KUO LEE, Chien-Fu",Men,TPE,Taiwan,M,Silver +Barcelona,1992,Baseball,Baseball,baseball,"HERNANDEZ, Alberto",Men,CUB,Cuba,M,Gold +Barcelona,1992,Baseball,Baseball,baseball,"GURRIEL DELGADO, Lourdes",Men,CUB,Cuba,M,Gold +Barcelona,1992,Baseball,Baseball,baseball,"CHIANG, Tai-Chuan",Men,TPE,Taiwan,M,Silver +Barcelona,1992,Baseball,Baseball,baseball,"WU, Shih-Hsih",Men,TPE,Taiwan,M,Silver +Barcelona,1992,Baseball,Baseball,baseball,"LINARES, Omar",Men,CUB,Cuba,M,Gold +Barcelona,1992,Baseball,Baseball,baseball,"SATO, Shinichi",Men,JPN,Japan,M,Bronze +Barcelona,1992,Baseball,Baseball,baseball,"KU, Kuo-Chian",Men,TPE,Taiwan,M,Silver +Barcelona,1992,Baseball,Baseball,baseball,"AJETE, Omar",Men,CUB,Cuba,M,Gold +Barcelona,1992,Baseball,Baseball,baseball,"CHANG, Cheng-Hsien",Men,TPE,Taiwan,M,Silver +Barcelona,1992,Baseball,Baseball,baseball,"CHEN, Chi-Hsin",Men,TPE,Taiwan,M,Silver +Barcelona,1992,Baseball,Baseball,baseball,"CHANG, Wen-Chung",Men,TPE,Taiwan,M,Silver +Barcelona,1992,Baseball,Baseball,baseball,"LO, Chen-Jung",Men,TPE,Taiwan,M,Silver +Barcelona,1992,Baseball,Baseball,baseball,"NISHI, Masafumi",Men,JPN,Japan,M,Bronze +Barcelona,1992,Baseball,Baseball,baseball,"HUANG, Wen-Po",Men,TPE,Taiwan,M,Silver +Barcelona,1992,Baseball,Baseball,baseball,"KOJIMA, Hirotami",Men,JPN,Japan,M,Bronze +Barcelona,1992,Baseball,Baseball,baseball,"HUANG, Chung-Yi",Men,TPE,Taiwan,M,Silver +Barcelona,1992,Baseball,Baseball,baseball,"DELGADO DIEZ, Jose Raul",Men,CUB,Cuba,M,Gold +Barcelona,1992,Baseball,Baseball,baseball,"PACHECO, Antonio",Men,CUB,Cuba,M,Gold +Barcelona,1992,Baseball,Baseball,baseball,"PADILLA, Juan",Men,CUB,Cuba,M,Gold +Barcelona,1992,Baseball,Baseball,baseball,"FERNANDEZ RODRIGUEZ, Osvaldo",Men,CUB,Cuba,M,Gold +Barcelona,1992,Baseball,Baseball,baseball,"WAKABAYASHI, Shigeki",Men,JPN,Japan,M,Bronze +Barcelona,1992,Baseball,Baseball,baseball,"SAKAGUCHI, Hiroyuki",Men,JPN,Japan,M,Bronze +Barcelona,1992,Baseball,Baseball,baseball,"NISHIYAMA, Kazutaka",Men,JPN,Japan,M,Bronze +Barcelona,1992,Baseball,Baseball,baseball,"PEREZ RONDON, Juan Carlos",Men,CUB,Cuba,M,Gold +Barcelona,1992,Baseball,Baseball,baseball,"TAKAMI, Yasunori",Men,JPN,Japan,M,Bronze +Barcelona,1992,Baseball,Baseball,baseball,"VALDES BERRIEL, Jorge Luis",Men,CUB,Cuba,M,Gold +Barcelona,1992,Baseball,Baseball,baseball,"WATANABE, Katsumi",Men,JPN,Japan,M,Bronze +Barcelona,1992,Baseball,Baseball,baseball,"KOKUBO, Hiroki",Men,JPN,Japan,M,Bronze +Barcelona,1992,Baseball,Baseball,baseball,"LIN, Kun-Han",Men,TPE,Taiwan,M,Silver +Barcelona,1992,Baseball,Baseball,baseball,"ITO, Tomohito",Men,JPN,Japan,M,Bronze +Barcelona,1992,Baseball,Baseball,baseball,"MESA FRESNEDA, German",Men,CUB,Cuba,M,Gold +Barcelona,1992,Baseball,Baseball,baseball,"CHEN, Wei-Chen",Men,TPE,Taiwan,M,Silver +Barcelona,1992,Baseball,Baseball,baseball,"ULACIA, Luis",Men,CUB,Cuba,M,Gold +Barcelona,1992,Baseball,Baseball,baseball,"VARGAS, Lazaro",Men,CUB,Cuba,M,Gold +Barcelona,1992,Baseball,Baseball,baseball,"CHANG, Yaw-Teing",Men,TPE,Taiwan,M,Silver +Barcelona,1992,Baseball,Baseball,baseball,"TSAI, Ming-Hung",Men,TPE,Taiwan,M,Silver +Barcelona,1992,Baseball,Baseball,baseball,"KOHIYAMA, Masahito",Men,JPN,Japan,M,Bronze +Barcelona,1992,Baseball,Baseball,baseball,"DIAZ LOREN, Giorge",Men,CUB,Cuba,M,Gold +Barcelona,1992,Baseball,Baseball,baseball,"WANG, Kuang-Shih",Men,TPE,Taiwan,M,Silver +Barcelona,1992,Baseball,Baseball,baseball,"SUGIYAMA, Kento",Men,JPN,Japan,M,Bronze +Barcelona,1992,Baseball,Baseball,baseball,"JONG, Yeu-Jeng",Men,TPE,Taiwan,M,Silver +Barcelona,1992,Baseball,Baseball,baseball,"HERNANDEZ PEDROSO, Orlando",Men,CUB,Cuba,M,Gold +Barcelona,1992,Baseball,Baseball,baseball,"URRUTIA QUIROGA, Ermidelio",Men,CUB,Cuba,M,Gold +Barcelona,1992,Baseball,Baseball,baseball,"LIN, Chao-Huang",Men,TPE,Taiwan,M,Silver +Barcelona,1992,Baseball,Baseball,baseball,"MESA MARTINEZ, Victor",Men,CUB,Cuba,M,Gold +Barcelona,1992,Baseball,Baseball,baseball,"LIAO, Ming-Hsiung",Men,TPE,Taiwan,M,Silver +Barcelona,1992,Baseball,Baseball,baseball,"SATO, Yasuhiro",Men,JPN,Japan,M,Bronze +Barcelona,1992,Baseball,Baseball,baseball,"TOGO, Akihiro",Men,JPN,Japan,M,Bronze +Barcelona,1992,Baseball,Baseball,baseball,"LO, Kuo-Chong",Men,TPE,Taiwan,M,Silver +Barcelona,1992,Baseball,Baseball,baseball,"MIWA, Takashi",Men,JPN,Japan,M,Bronze +Barcelona,1992,Baseball,Baseball,baseball,"OSHIMA, Koichi",Men,JPN,Japan,M,Bronze +Barcelona,1992,Baseball,Baseball,baseball,"TOKUNAGA, Koji",Men,JPN,Japan,M,Bronze +Barcelona,1992,Baseball,Baseball,baseball,"SUGIURA, Masanori",Men,JPN,Japan,M,Bronze +Barcelona,1992,Baseball,Baseball,baseball,"PAI, Kun-Hong",Men,TPE,Taiwan,M,Silver +Barcelona,1992,Basketball,Basketball,basketball,"CVJETICANIN, Danko",Men,CRO,Croatia,M,Silver +Barcelona,1992,Basketball,Basketball,basketball,"PAZDRAZDIS, Alvydas",Men,LTU,Lithuania,M,Bronze +Barcelona,1992,Basketball,Basketball,basketball,"ZHAN, Shuping",Women,CHN,China,W,Silver +Barcelona,1992,Basketball,Basketball,basketball,"LI, Xin",Women,CHN,China,W,Silver +Barcelona,1992,Basketball,Basketball,basketball,"ZHENG, Dongmei",Women,CHN,China,W,Silver +Barcelona,1992,Basketball,Basketball,basketball,"JOVAISA, Sergejus",Men,LTU,Lithuania,M,Bronze +Barcelona,1992,Basketball,Basketball,basketball,"EWING, Patrick Aloysius",Men,USA,United States,M,Gold +Barcelona,1992,Basketball,Basketball,basketball,"MALONE, Karl",Men,USA,United States,M,Gold +Barcelona,1992,Basketball,Basketball,basketball,"LI, Dongmei",Women,CHN,China,W,Silver +Barcelona,1992,Basketball,Basketball,basketball,"JACKSON, Tammy",Women,USA,United States,W,Bronze +Barcelona,1992,Basketball,Basketball,basketball,"PIPPEN, Scottie",Men,USA,United States,M,Gold +Barcelona,1992,Basketball,Basketball,basketball,"MCCONNELL, Suzanne",Women,USA,United States,W,Bronze +Barcelona,1992,Basketball,Basketball,basketball,"BULLETT, Victoria",Women,USA,United States,W,Bronze +Barcelona,1992,Basketball,Basketball,basketball,"DIMAVICIUS, Darius",Men,LTU,Lithuania,M,Bronze +Barcelona,1992,Basketball,Basketball,basketball,"JOHNSON, Earvin",Men,USA,United States,M,Gold +Barcelona,1992,Basketball,Basketball,basketball,"DIXON, Medina",Women,USA,United States,W,Bronze +Barcelona,1992,Basketball,Basketball,basketball,"SOUMNIKOVA, Irina",Women,EUN,Unified team,W,Gold +Barcelona,1992,Basketball,Basketball,basketball,"LAETTNER, Christian D.",Men,USA,United States,M,Gold +Barcelona,1992,Basketball,Basketball,basketball,"SABONIS, Arvydas",Men,LTU,Lithuania,M,Bronze +Barcelona,1992,Basketball,Basketball,basketball,"EDWARDS, Teresa",Women,USA,United States,W,Bronze +Barcelona,1992,Basketball,Basketball,basketball,"TORNIKIDOU, Elena",Women,EUN,Unified team,W,Gold +Barcelona,1992,Basketball,Basketball,basketball,"PETROVIC, Drazen",Men,CRO,Croatia,M,Silver +Barcelona,1992,Basketball,Basketball,basketball,"KOMAZEC, Arijan",Men,CRO,Croatia,M,Silver +Barcelona,1992,Basketball,Basketball,basketball,"KUKOC, Toni",Men,CRO,Croatia,M,Silver +Barcelona,1992,Basketball,Basketball,basketball,"BARKLEY, Charles",Men,USA,United States,M,Gold +Barcelona,1992,Basketball,Basketball,basketball,"LIU, Jun",Women,CHN,China,W,Silver +Barcelona,1992,Basketball,Basketball,basketball,"RADJA, Dino",Men,CRO,Croatia,M,Silver +Barcelona,1992,Basketball,Basketball,basketball,"NAGLIC, Aramis",Men,CRO,Croatia,M,Silver +Barcelona,1992,Basketball,Basketball,basketball,"BOUNATIANTS, Elen",Women,EUN,Unified team,W,Gold +Barcelona,1992,Basketball,Basketball,basketball,"BARANOVA, Elena",Women,EUN,Unified team,W,Gold +Barcelona,1992,Basketball,Basketball,basketball,"DAVIS, Clarissa",Women,USA,United States,W,Bronze +Barcelona,1992,Basketball,Basketball,basketball,"JONES, Carolyn",Women,USA,United States,W,Bronze +Barcelona,1992,Basketball,Basketball,basketball,"BIRD, Larry",Men,USA,United States,M,Gold +Barcelona,1992,Basketball,Basketball,basketball,"KRAPIKAS, Gintaras",Men,LTU,Lithuania,M,Bronze +Barcelona,1992,Basketball,Basketball,basketball,"MARCIULIONIS, Sarunas",Men,LTU,Lithuania,M,Bronze +Barcelona,1992,Basketball,Basketball,basketball,"KARNISOVAS, Arturas",Men,LTU,Lithuania,M,Bronze +Barcelona,1992,Basketball,Basketball,basketball,"MINKH, Irina",Women,EUN,Unified team,W,Gold +Barcelona,1992,Basketball,Basketball,basketball,"WEATHERSPOON, Teresa",Women,USA,United States,W,Bronze +Barcelona,1992,Basketball,Basketball,basketball,"MULLIN, Christopher Paul",Men,USA,United States,M,Gold +Barcelona,1992,Basketball,Basketball,basketball,"PERASOVIC, Velimir",Men,CRO,Croatia,M,Silver +Barcelona,1992,Basketball,Basketball,basketball,"BRAZDAUSKIS, Romanas",Men,LTU,Lithuania,M,Bronze +Barcelona,1992,Basketball,Basketball,basketball,"TKACHENKO, Marina",Women,EUN,Unified team,W,Gold +Barcelona,1992,Basketball,Basketball,basketball,"ROBINSON, David Maurice",Men,USA,United States,M,Gold +Barcelona,1992,Basketball,Basketball,basketball,"CHOMICIUS, Valdemaras",Men,LTU,Lithuania,M,Bronze +Barcelona,1992,Basketball,Basketball,basketball,"GREGOV, Alan",Men,CRO,Croatia,M,Silver +Barcelona,1992,Basketball,Basketball,basketball,"CHARLES, Daedra",Women,USA,United States,W,Bronze +Barcelona,1992,Basketball,Basketball,basketball,"ZHENG, Xiulin",Women,CHN,China,W,Silver +Barcelona,1992,Basketball,Basketball,basketball,"JORDAN, Michael",Men,USA,United States,M,Gold +Barcelona,1992,Basketball,Basketball,basketball,"ALANOVIC, Vladan",Men,CRO,Croatia,M,Silver +Barcelona,1992,Basketball,Basketball,basketball,"STOCKTON, John Houston",Men,USA,United States,M,Gold +Barcelona,1992,Basketball,Basketball,basketball,"GERLITS, Irina",Women,EUN,Unified team,W,Gold +Barcelona,1992,Basketball,Basketball,basketball,"KURTINAITIS, Rimas",Men,LTU,Lithuania,M,Bronze +Barcelona,1992,Basketball,Basketball,basketball,"VRANKOVIC, Stojko",Men,CRO,Croatia,M,Silver +Barcelona,1992,Basketball,Basketball,basketball,"MCCLAIN, Katrina Felicia",Women,USA,United States,W,Bronze +Barcelona,1992,Basketball,Basketball,basketball,"DREXLER, Clyde",Men,USA,United States,M,Gold +Barcelona,1992,Basketball,Basketball,basketball,"CHVAIBOVITCH, Elena",Women,EUN,Unified team,W,Gold +Barcelona,1992,Basketball,Basketball,basketball,"TABAK, Zan",Men,CRO,Croatia,M,Silver +Barcelona,1992,Basketball,Basketball,basketball,"ORR, Victoria",Women,USA,United States,W,Bronze +Barcelona,1992,Basketball,Basketball,basketball,"ARAPOVIC, Franjo",Men,CRO,Croatia,M,Silver +Barcelona,1992,Basketball,Basketball,basketball,"CONG, Xuedi",Women,CHN,China,W,Silver +Barcelona,1992,Basketball,Basketball,basketball,"EINIKIS, Gintaras",Men,LTU,Lithuania,M,Bronze +Barcelona,1992,Basketball,Basketball,basketball,"ZABOLOUEVA, Svetlana",Women,EUN,Unified team,W,Gold +Barcelona,1992,Basketball,Basketball,basketball,"VISOCKAS, Arunas",Men,LTU,Lithuania,M,Bronze +Barcelona,1992,Basketball,Basketball,basketball,"LIU, Qing",Women,CHN,China,W,Silver +Barcelona,1992,Basketball,Basketball,basketball,"ZHIRKO, Elena",Women,EUN,Unified team,W,Gold +Barcelona,1992,Basketball,Basketball,basketball,"PENG, Ping",Women,CHN,China,W,Silver +Barcelona,1992,Basketball,Basketball,basketball,"KHOUDACHOVA, Elena",Women,EUN,Unified team,W,Gold +Barcelona,1992,Basketball,Basketball,basketball,"ZHENG, Haixia",Women,CHN,China,W,Silver +Barcelona,1992,Basketball,Basketball,basketball,"ZASSOULSKAIA, Natalia",Women,EUN,Unified team,W,Gold +Barcelona,1992,Basketball,Basketball,basketball,"HE, Jun",Women,CHN,China,W,Silver +Barcelona,1992,Basketball,Basketball,basketball,"WANG, Fang",Women,CHN,China,W,Silver +Barcelona,1992,Basketball,Basketball,basketball,"COOPER, Cynthia",Women,USA,United States,W,Bronze +Barcelona,1992,Boxing,Boxing,60 - 63.5kg (light-welterweight),"KJALL, Jyri Göran",Men,FIN,Finland,M,Bronze +Barcelona,1992,Boxing,Boxing,+ 91kg (super heavyweight),"BALADO MENDEZ, Roberto",Men,CUB,Cuba,M,Gold +Barcelona,1992,Boxing,Boxing,75 - 81kg (light-heavyweight),"BERES, Zoltan",Men,HUN,Hungary,M,Bronze +Barcelona,1992,Boxing,Boxing,+ 91kg (super heavyweight),"ROUSSINOV, Svilen Aldinov",Men,BUL,Bulgaria,M,Bronze +Barcelona,1992,Boxing,Boxing,75 - 81kg (light-heavyweight),"ZAOULITCHNI, Rostislav",Men,EUN,Unified team,M,Silver +Barcelona,1992,Boxing,Boxing,63.5 - 67kg (welterweight),"ACEVEDO SANTIAGO, Anibal",Men,PUR,Puerto Rico*,M,Bronze +Barcelona,1992,Boxing,Boxing,71-75kg,"JOHNSON, Christopher",Men,CAN,Canada,M,Bronze +Barcelona,1992,Boxing,Boxing,60 - 63.5kg (light-welterweight),"VINENT, Hector",Men,CUB,Cuba,M,Gold +Barcelona,1992,Boxing,Boxing,+ 91kg (super heavyweight),"NIELSEN, Brian",Men,DEN,Denmark,M,Bronze +Barcelona,1992,Boxing,Boxing,+ 91kg (super heavyweight),"IGBINEGHU, Richard",Men,NGR,Nigeria,M,Silver +Barcelona,1992,Boxing,Boxing,- 48kg (light-flyweight),"VELASCO, Roel",Men,PHI,Philippines,M,Bronze +Barcelona,1992,Boxing,Boxing,67 - 71kg (light-middleweight),"DELIBAS, Orhan",Men,NED,Netherlands,M,Silver +Barcelona,1992,Boxing,Boxing,54 - 57kg (featherweight),"TEWS, Andreas",Men,GER,Germany,M,Gold +Barcelona,1992,Boxing,Boxing,57 - 60kg (lightweight),"RUDOLPH, Marco",Men,GER,Germany,M,Silver +Barcelona,1992,Boxing,Boxing,54 - 57kg (featherweight),"PALIANI, Ramazi",Men,EUN,Unified team,M,Bronze +Barcelona,1992,Boxing,Boxing,81 - 91kg (heavyweight),"VANDERLIJDE, Arnold",Men,NED,Netherlands,M,Bronze +Barcelona,1992,Boxing,Boxing,- 48kg (light-flyweight),"QUAST, Jan",Men,GER,Germany,M,Bronze +Barcelona,1992,Boxing,Boxing,71-75kg,"HERNANDEZ ASCUY, Ariel",Men,CUB,Cuba,M,Gold +Barcelona,1992,Boxing,Boxing,67 - 71kg (light-middleweight),"LEMUS GARCIA, Juan Carlos",Men,CUB,Cuba,M,Gold +Barcelona,1992,Boxing,Boxing,- 48kg (light-flyweight),"BOJINOV, Daniel Petrov",Men,BUL,Bulgaria,M,Silver +Barcelona,1992,Boxing,Boxing,48 - 51kg (flyweight),"CHOI, Chol Su",Men,PRK,"Korea, North",M,Gold +Barcelona,1992,Boxing,Boxing,81 - 91kg (heavyweight),"SAVON, Felix",Men,CUB,Cuba,M,Gold +Barcelona,1992,Boxing,Boxing,54 - 57kg (featherweight),"REYES LOPEZ, Faustino",Men,ESP,Spain,M,Silver +Barcelona,1992,Boxing,Boxing,60 - 63.5kg (light-welterweight),"LEDUC, Mark",Men,CAN,Canada,M,Silver +Barcelona,1992,Boxing,Boxing,- 48kg (light-flyweight),"MARCELO GARCIA, Rogelio",Men,CUB,Cuba,M,Gold +Barcelona,1992,Boxing,Boxing,57 - 60kg (lightweight),"HONG, Sung Sik",Men,KOR,"Korea, South",M,Bronze +Barcelona,1992,Boxing,Boxing,60 - 63.5kg (light-welterweight),"DOROFTEI, Leonard Dorin",Men,ROU,Romania,M,Bronze +Barcelona,1992,Boxing,Boxing,63.5 - 67kg (welterweight),"CHENGLAI, Arkom",Men,THA,Thailand,M,Bronze +Barcelona,1992,Boxing,Boxing,51 - 54kg (bantamweight),"ACHIK, Mohamed",Men,MAR,Morocco,M,Bronze +Barcelona,1992,Boxing,Boxing,48 - 51kg (flyweight),"KOVACS, Istvan",Men,HUN,Hungary,M,Bronze +Barcelona,1992,Boxing,Boxing,81 - 91kg (heavyweight),"TUA, David",Men,NZL,New Zealand,M,Bronze +Barcelona,1992,Boxing,Boxing,57 - 60kg (lightweight),"BAYARSAIKHAN, Namjil",Men,MGL,Mongolia,M,Bronze +Barcelona,1992,Boxing,Boxing,54 - 57kg (featherweight),"SOLTANI, Hocine",Men,ALG,Algeria,M,Bronze +Barcelona,1992,Boxing,Boxing,48 - 51kg (flyweight),"AUSTIN, Timothy",Men,USA,United States,M,Bronze +Barcelona,1992,Boxing,Boxing,75 - 81kg (light-heavyweight),"MAY, Torsten",Men,GER,Germany,M,Gold +Barcelona,1992,Boxing,Boxing,51 - 54kg (bantamweight),"LI, Gwang Sik",Men,PRK,"Korea, North",M,Bronze +Barcelona,1992,Boxing,Boxing,71-75kg,"LEE, Seung Bae",Men,KOR,"Korea, South",M,Bronze +Barcelona,1992,Boxing,Boxing,51 - 54kg (bantamweight),"CASAMAYOR JOHNSON, Joel",Men,CUB,Cuba,M,Gold +Barcelona,1992,Boxing,Boxing,63.5 - 67kg (welterweight),"HERNANDEZ SIERRA, Juan",Men,CUB,Cuba,M,Silver +Barcelona,1992,Boxing,Boxing,75 - 81kg (light-heavyweight),"BARTNIK, Wojciech",Men,POL,Poland,M,Bronze +Barcelona,1992,Boxing,Boxing,71-75kg,"BYRD, Christopher",Men,USA,United States,M,Silver +Barcelona,1992,Boxing,Boxing,67 - 71kg (light-middleweight),"REID, Robin David",Men,GBR,United Kingdom,M,Bronze +Barcelona,1992,Boxing,Boxing,63.5 - 67kg (welterweight),"CARRUTH, Michael",Men,IRL,Ireland,M,Gold +Barcelona,1992,Boxing,Boxing,48 - 51kg (flyweight),"GONZALEZ SANCHEZ, Raul",Men,CUB,Cuba,M,Silver +Barcelona,1992,Boxing,Boxing,51 - 54kg (bantamweight),"MCCULLOUGH, Wayne",Men,IRL,Ireland,M,Silver +Barcelona,1992,Boxing,Boxing,57 - 60kg (lightweight),"DE LA HOYA, Oscar",Men,USA,United States,M,Gold +Barcelona,1992,Boxing,Boxing,67 - 71kg (light-middleweight),"MIZSEI, Gyorgy",Men,HUN,Hungary,M,Bronze +Barcelona,1992,Boxing,Boxing,81 - 91kg (heavyweight),"IZONRITEI, David",Men,NGR,Nigeria,M,Silver +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"FREDERIKSEN, Christian Wigeo",Men,DEN,Denmark,M,Silver +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"PAPKE, Ulrich",Men,GER,Germany,M,Gold +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"ROSENQVIST, Susanne",Women,SWE,Sweden,W,Bronze +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"PORTWICH, Ramona",Women,GER,Germany,W,Silver +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"FISCHER, Birgit",Women,GER,Germany,W,Silver +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"PAPKE, Ulrich",Men,GER,Germany,M,Silver +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"KOBAN, Rita",Women,HUN,Hungary,W,Silver +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"FREIMUT, Maciej",Men,POL,Poland,M,Silver +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"MASSEIKOV, Alexandre",Men,EUN,Unified team,M,Gold +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"GUTSCHE, Torsten Rene",Men,GER,Germany,M,Gold +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,C-1 1000m (canoe single),"BUKHALOV, Nikolai Petkov",Men,BUL,Bulgaria,M,Gold +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"NIELSSON, Arne",Men,DEN,Denmark,M,Silver +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"SPELLY, Ingo",Men,GER,Germany,M,Silver +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,K-1 1000m (kayak single),"ROBINSON, Clint",Men,AUS,Australia,M,Gold +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"BLUHM, Kay",Men,GER,Germany,M,Gold +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"ANDERSSON, Agneta",Women,SWE,Sweden,W,Bronze +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"MARINOV, Martin Guerguiev",Men,BUL,Bulgaria,M,Bronze +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"DYLEWSKA-SWIATOWIAK, Izabella",Women,POL,Poland,W,Bronze +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"CSIPES, Ferenc",Men,HUN,Hungary,M,Silver +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"DONUSZ, Eva",Women,HUN,Hungary,W,Bronze +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"VON APPEN, Mario",Men,GER,Germany,M,Gold +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"VON SECK, Anke",Women,GER,Germany,W,Gold +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"HOLMANN, Knut",Men,NOR,Norway,M,Bronze +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"HAGLUND, Maria",Women,SWE,Sweden,W,Bronze +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"ANDERSSON, Agneta",Women,SWE,Sweden,W,Silver +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"STOYANOV, Blagovest Nikolov",Men,BUL,Bulgaria,M,Bronze +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"BORCHERT, Katrin",Women,GER,Germany,W,Silver +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,C-1 500m (canoe single),"BUKHALOV, Nikolai Petkov",Men,BUL,Bulgaria,M,Gold +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"CZIGANY, Kinga",Women,HUN,Hungary,W,Gold +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"DREOSSI, Bruno",Men,ITA,Italy,M,Bronze +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"DONUSZ, Eva",Women,HUN,Hungary,W,Gold +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"OLSSON, Anna",Women,SWE,Sweden,W,Bronze +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"KOLEHMAINEN, Mikko Yrjö",Men,FIN,Finland,M,Gold +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"KOTOWICZ, Grzegorz",Men,POL,Poland,M,Bronze +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"REINECK, Thomas",Men,GER,Germany,M,Gold +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"VON SECK, Anke",Women,GER,Germany,W,Silver +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"HOYER, Didier",Men,FRA,France,M,Bronze +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"SUNDQVIST, Karl",Men,SWE,Sweden,M,Silver +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"ROSSI, Antonio",Men,ITA,Italy,M,Bronze +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,K-1 1000m (kayak single),"HOLMANN, Knut",Men,NOR,Norway,M,Silver +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"GRAHAM, Kelvin John",Men,AUS,Australia,M,Bronze +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"WOOD, Steven Michael",Men,AUS,Australia,M,Bronze +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"GYULAY, Zsolt",Men,HUN,Hungary,M,Silver +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"BLUHM, Kay",Men,GER,Germany,M,Gold +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"PORTWICH, Ramona",Women,GER,Germany,W,Gold +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,C-1 1000m (canoe single),"KLEMENTYEV, Ivans",Men,LAT,Latvia,M,Silver +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"BIALKOWSKI, Dariusz",Men,POL,Poland,M,Bronze +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"GUTSCHE, Torsten Rene",Men,GER,Germany,M,Gold +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,K-1 1000m (kayak single),"BARTON, Gregory Mark",Men,USA,United States,M,Bronze +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"BOIVIN, Olivier",Men,FRA,France,M,Bronze +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"KOBAN, Rita",Women,HUN,Hungary,W,Bronze +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,C-1 500m (canoe single),"SLIWINSKI, Michal",Men,EUN,Unified team,M,Silver +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,C-1 1000m (canoe single),"ZALA, Gyorgy",Men,HUN,Hungary,M,Bronze +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,C-1 500m (canoe single),"HEUKRODT, Olaf",Men,GER,Germany,M,Bronze +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"FIDEL, Laszlo",Men,HUN,Hungary,M,Silver +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"WOHLLEBE, Andre Gerhard",Men,GER,Germany,M,Gold +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"MESZAROS, Erika",Women,HUN,Hungary,W,Gold +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"DOVGALYONOK, Dmitri",Men,EUN,Unified team,M,Gold +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"SPELLY, Ingo",Men,GER,Germany,M,Gold +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"ABRAHAM, Attila",Men,HUN,Hungary,M,Silver +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"KURPIEWSKI, Wojciech",Men,POL,Poland,M,Silver +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"OLSSON, Gunnar",Men,SWE,Sweden,M,Silver +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"GUNNARSSON, Susanne",Women,SWE,Sweden,W,Silver +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"KEGEL, Oliver Michael",Men,GER,Germany,M,Gold +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"FISCHER, Birgit",Women,GER,Germany,W,Gold +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"ANDERSSON, Ramon Dean",Men,AUS,Australia,M,Bronze +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"ROWLING, Ian Mark",Men,AUS,Australia,M,Bronze +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"GYULAY, Zsolt",Men,HUN,Hungary,M,Silver +Barcelona,1992,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"KOBAN, Rita",Women,HUN,Hungary,W,Gold +Barcelona,1992,Canoe / Kayak,Canoe / Kayak S,C-2 (canoe double),"STRAUSBAUGH, Scott",Men,USA,United States,M,Gold +Barcelona,1992,Canoe / Kayak,Canoe / Kayak S,C-1 (canoe single),"AVRIL, Jacky",Men,FRA,France,M,Bronze +Barcelona,1992,Canoe / Kayak,Canoe / Kayak S,K-1 (kayak single),"WOODWARD, Danielle Anne",Women,AUS,Australia,W,Silver +Barcelona,1992,Canoe / Kayak,Canoe / Kayak S,K-1 (kayak single),"LETTMANN, Jochen",Men,GER,Germany,M,Bronze +Barcelona,1992,Canoe / Kayak,Canoe / Kayak S,C-1 (canoe single),"POLLERT, Lukas",Men,TCH,Czechoslovakia,M,Gold +Barcelona,1992,Canoe / Kayak,Canoe / Kayak S,C-1 (canoe single),"MARRIOTT, Gareth John",Men,GBR,United Kingdom,M,Silver +Barcelona,1992,Canoe / Kayak,Canoe / Kayak S,C-2 (canoe double),"ADISSON, Franck",Men,FRA,France,M,Bronze +Barcelona,1992,Canoe / Kayak,Canoe / Kayak S,K-1 (kayak single),"MICHELER-JONES, Elisabeth",Women,GER,Germany,W,Gold +Barcelona,1992,Canoe / Kayak,Canoe / Kayak S,K-1 (kayak single),"CURINIER, Sylvain",Men,FRA,France,M,Silver +Barcelona,1992,Canoe / Kayak,Canoe / Kayak S,K-1 (kayak single),"FERRAZZI, Pierpaolo",Men,ITA,Italy,M,Gold +Barcelona,1992,Canoe / Kayak,Canoe / Kayak S,C-2 (canoe double),"ROHAN, Jiri",Men,TCH,Czechoslovakia,M,Silver +Barcelona,1992,Canoe / Kayak,Canoe / Kayak S,C-2 (canoe double),"JACOBI, Joe",Men,USA,United States,M,Gold +Barcelona,1992,Canoe / Kayak,Canoe / Kayak S,C-2 (canoe double),"FORGUES, Wilfrid",Men,FRA,France,M,Bronze +Barcelona,1992,Canoe / Kayak,Canoe / Kayak S,K-1 (kayak single),"CHLADEK, Dana",Women,USA,United States,W,Bronze +Barcelona,1992,Canoe / Kayak,Canoe / Kayak S,C-2 (canoe double),"SIMEK, Miroslav",Men,TCH,Czechoslovakia,M,Silver +Barcelona,1992,Cycling,Cycling Road,team time trial,"PESCHEL, Uwe",Men,GER,Germany,M,Gold +Barcelona,1992,Cycling,Cycling Road,individual road race,"OZOLS, Dainis",Men,LAT,Latvia,M,Bronze +Barcelona,1992,Cycling,Cycling Road,individual road race,"DEKKER, Erik",Men,NED,Netherlands,M,Silver +Barcelona,1992,Cycling,Cycling Road,team time trial,"RICH, Michael",Men,GER,Germany,M,Gold +Barcelona,1992,Cycling,Cycling Road,team time trial,"ANASTASIA, Flavio",Men,ITA,Italy,M,Silver +Barcelona,1992,Cycling,Cycling Road,individual road race,"LONGO-CIPRELLI, Jeannie",Women,FRA,France,W,Silver +Barcelona,1992,Cycling,Cycling Road,team time trial,"COLOMBO, Luca",Men,ITA,Italy,M,Silver +Barcelona,1992,Cycling,Cycling Road,team time trial,"GAUMONT, Philippe",Men,FRA,France,M,Bronze +Barcelona,1992,Cycling,Cycling Road,team time trial,"PERON, Andrea",Men,ITA,Italy,M,Silver +Barcelona,1992,Cycling,Cycling Road,team time trial,"CONTRI, Gianfranco",Men,ITA,Italy,M,Silver +Barcelona,1992,Cycling,Cycling Road,team time trial,"DITTERT, Bernd",Men,GER,Germany,M,Gold +Barcelona,1992,Cycling,Cycling Road,individual road race,"KNOL, Monique",Women,NED,Netherlands,W,Bronze +Barcelona,1992,Cycling,Cycling Road,team time trial,"BOUSSARD, Herve",Men,FRA,France,M,Bronze +Barcelona,1992,Cycling,Cycling Road,team time trial,"MEYER, Christian",Men,GER,Germany,M,Gold +Barcelona,1992,Cycling,Cycling Road,team time trial,"HAREL, Jean-Louis",Men,FRA,France,M,Bronze +Barcelona,1992,Cycling,Cycling Road,individual road race,"CASARTELLI, Fabio",Men,ITA,Italy,M,Gold +Barcelona,1992,Cycling,Cycling Road,team time trial,"FAIVRE-PIERRET, Didier",Men,FRA,France,M,Bronze +Barcelona,1992,Cycling,Cycling Road,individual road race,"WATT, Kathryn Anne",Women,AUS,Australia,W,Gold +Barcelona,1992,Cycling,Cycling Track,individual pursuit,"ROSSNER, Petra",Women,GER,Germany,W,Gold +Barcelona,1992,Cycling,Cycling Track,sprint,"SALUMAE, Erika",Women,EST,Estonia,W,Gold +Barcelona,1992,Cycling,Cycling Track,Team Pursuit (4000m),"FULST, Guido",Men,GER,Germany,M,Gold +Barcelona,1992,Cycling,Cycling Track,1km time trial,"HARTWELL, Erin W.",Men,USA,United States,M,Bronze +Barcelona,1992,Cycling,Cycling Track,Points Race,"MATHY, Cedric",Men,BEL,Belgium,M,Bronze +Barcelona,1992,Cycling,Cycling Track,sprint,"HARINGA, Ingrid",Women,NED,Netherlands,W,Bronze +Barcelona,1992,Cycling,Cycling Track,Team Pursuit (4000m),"FROST, Ken",Men,DEN,Denmark,M,Bronze +Barcelona,1992,Cycling,Cycling Track,Team Pursuit (4000m),"GLÖCKNER, Michael",Men,GER,Germany,M,Gold +Barcelona,1992,Cycling,Cycling Track,sprint,"NEUMANN, Annett",Women,GER,Germany,W,Silver +Barcelona,1992,Cycling,Cycling Track,1km time trial,"KELLY, Shane",Men,AUS,Australia,M,Silver +Barcelona,1992,Cycling,Cycling Track,individual pursuit,"TWIGG, Rebecca Lynne",Women,USA,United States,W,Bronze +Barcelona,1992,Cycling,Cycling Track,Team Pursuit (4000m),"LEHMANN, Jens",Men,GER,Germany,M,Gold +Barcelona,1992,Cycling,Cycling Track,Individual Pursuit,"LEHMANN, Jens",Men,GER,Germany,M,Silver +Barcelona,1992,Cycling,Cycling Track,Team Pursuit (4000m),"MCGLEDE, Stephen John",Men,AUS,Australia,M,Silver +Barcelona,1992,Cycling,Cycling Track,Team Pursuit (4000m),"O'GRADY, Stuart",Men,AUS,Australia,M,Silver +Barcelona,1992,Cycling,Cycling Track,Sprint indivual,"FIEDLER, Jens",Men,GER,Germany,M,Gold +Barcelona,1992,Cycling,Cycling Track,1km time trial,"MORENO PERINAN, Jose Manuel",Men,ESP,Spain,M,Gold +Barcelona,1992,Cycling,Cycling Track,Sprint indivual,"HARNETT, Curtis",Men,CAN,Canada,M,Bronze +Barcelona,1992,Cycling,Cycling Track,Individual Pursuit,"BOARDMAN, Christopher Miles",Men,GBR,United Kingdom,M,Gold +Barcelona,1992,Cycling,Cycling Track,Points Race,"LOMBARDI, Giovanni",Men,ITA,Italy,M,Gold +Barcelona,1992,Cycling,Cycling Track,Team Pursuit (4000m),"MADSEN, Jimmi",Men,DEN,Denmark,M,Bronze +Barcelona,1992,Cycling,Cycling Track,Individual Pursuit,"ANDERSON, Gary John",Men,NZL,New Zealand,M,Bronze +Barcelona,1992,Cycling,Cycling Track,Team Pursuit (4000m),"SANDSTOD, Michael",Men,DEN,Denmark,M,Bronze +Barcelona,1992,Cycling,Cycling Track,Sprint indivual,"NEIWAND, Garry Malcolm",Men,AUS,Australia,M,Silver +Barcelona,1992,Cycling,Cycling Track,Team Pursuit (4000m),"NILSEN, Klaus Kynde",Men,DEN,Denmark,M,Bronze +Barcelona,1992,Cycling,Cycling Track,Team Pursuit (4000m),"WALZER, Andreas",Men,GER,Germany,M,Gold +Barcelona,1992,Cycling,Cycling Track,Points Race,"VAN BON, Leon",Men,NED,Netherlands,M,Silver +Barcelona,1992,Cycling,Cycling Track,Team Pursuit (4000m),"O'BRIEN, Shaun William",Men,AUS,Australia,M,Silver +Barcelona,1992,Cycling,Cycling Track,Team Pursuit (4000m),"AITKEN, Brett",Men,AUS,Australia,M,Silver +Barcelona,1992,Cycling,Cycling Track,individual pursuit,"WATT, Kathryn Anne",Women,AUS,Australia,W,Silver +Barcelona,1992,Cycling,Cycling Track,Team Pursuit (4000m),"STEINWEG, Stefan",Men,GER,Germany,M,Gold +Barcelona,1992,Cycling,Cycling Track,Team Pursuit (4000m),"PETERSEN, Jan Bo",Men,DEN,Denmark,M,Bronze +Barcelona,1992,Equestrian,Dressage,team,"TEODORESCU, Monica",Women,GER,Germany,X,Gold +Barcelona,1992,Equestrian,Dressage,individual,"BALKENHOL, Klaus",Men,GER,Germany,X,Bronze +Barcelona,1992,Equestrian,Dressage,team,"BONTJE, Ellen",Women,NED,Netherlands,X,Silver +Barcelona,1992,Equestrian,Dressage,team,"BREDAHL, Charlotte",Women,USA,United States,X,Bronze +Barcelona,1992,Equestrian,Dressage,team,"WERTH, Isabell",Women,GER,Germany,X,Gold +Barcelona,1992,Equestrian,Dressage,team,"BALKENHOL, Klaus",Men,GER,Germany,X,Gold +Barcelona,1992,Equestrian,Dressage,team,"DOVER, Robert Jeffrey",Men,USA,United States,X,Bronze +Barcelona,1992,Equestrian,Dressage,individual,"WERTH, Isabell",Women,GER,Germany,X,Silver +Barcelona,1992,Equestrian,Dressage,individual,"UPHOFF-BECKER, Nicole",Women,GER,Germany,X,Gold +Barcelona,1992,Equestrian,Dressage,team,"POULIN, Michael",Men,USA,United States,X,Bronze +Barcelona,1992,Equestrian,Dressage,team,"LAVELL, Carol",Women,USA,United States,X,Bronze +Barcelona,1992,Equestrian,Dressage,team,"BARTELS DE VRIES, Maria Anna",Women,NED,Netherlands,X,Silver +Barcelona,1992,Equestrian,Dressage,team,"VAN GRUNSVEN, Anky",Women,NED,Netherlands,X,Silver +Barcelona,1992,Equestrian,Dressage,team,"UPHOFF-BECKER, Nicole",Women,GER,Germany,X,Gold +Barcelona,1992,Equestrian,Dressage,team,"SANDERS-KEYZER, Annemarie",Women,NED,Netherlands,X,Silver +Barcelona,1992,Equestrian,Eventing,team,"ROLTON, Gillian",Women,AUS,Australia,X,Gold +Barcelona,1992,Equestrian,Eventing,team,"TAIT, Blyth",Men,NZL,New Zealand,X,Silver +Barcelona,1992,Equestrian,Eventing,individual,"BLÖCKER, Herbert",Men,GER,Germany,X,Silver +Barcelona,1992,Equestrian,Eventing,team,"GREEN, David Michael",Men,AUS,Australia,X,Gold +Barcelona,1992,Equestrian,Eventing,individual,"TAIT, Blyth",Men,NZL,New Zealand,X,Bronze +Barcelona,1992,Equestrian,Eventing,individual,"RYAN, Matthew Morgan",Men,AUS,Australia,X,Gold +Barcelona,1992,Equestrian,Eventing,team,"RYAN, Matthew Morgan",Men,AUS,Australia,X,Gold +Barcelona,1992,Equestrian,Eventing,team,"EHRENBRINK, Ralf",Men,GER,Germany,X,Bronze +Barcelona,1992,Equestrian,Eventing,team,"TODD, Mark",Men,NZL,New Zealand,X,Silver +Barcelona,1992,Equestrian,Eventing,team,"LATTA, Victoria Jean",Women,NZL,New Zealand,X,Silver +Barcelona,1992,Equestrian,Eventing,team,"BLÖCKER, Herbert",Men,GER,Germany,X,Bronze +Barcelona,1992,Equestrian,Eventing,team,"BAUMANN, Matthias Andreas",Men,GER,Germany,X,Bronze +Barcelona,1992,Equestrian,Eventing,team,"NICHOLSON, Andrew",Men,NZL,New Zealand,X,Silver +Barcelona,1992,Equestrian,Eventing,team,"MYSEGAES, Cord Hermann",Men,GER,Germany,X,Bronze +Barcelona,1992,Equestrian,Eventing,team,"HOY, Andrew",Men,AUS,Australia,X,Gold +Barcelona,1992,Equestrian,Jumping,team,"BOURDY, Hubert",Men,FRA,France,X,Bronze +Barcelona,1992,Equestrian,Jumping,individual,"BEERBAUM, Ludger",Men,GER,Germany,X,Gold +Barcelona,1992,Equestrian,Jumping,team,"TOPS, Jan",Men,NED,Netherlands,X,Gold +Barcelona,1992,Equestrian,Jumping,team,"ROMP, Bert",Men,NED,Netherlands,X,Gold +Barcelona,1992,Equestrian,Jumping,team,"GODIGNON, Herve",Men,FRA,France,X,Bronze +Barcelona,1992,Equestrian,Jumping,team,"MUNZNER, Joerg",Men,AUT,Austria,X,Silver +Barcelona,1992,Equestrian,Jumping,team,"LANSINK, Jos",Men,NED,Netherlands,X,Gold +Barcelona,1992,Equestrian,Jumping,individual,"RAYMAKERS, Piet",Men,NED,Netherlands,X,Silver +Barcelona,1992,Equestrian,Jumping,individual,"DELLO JOIO, Norman",Men,USA,United States,X,Bronze +Barcelona,1992,Equestrian,Jumping,team,"BOOR, Boris",Men,AUT,Austria,X,Silver +Barcelona,1992,Equestrian,Jumping,team,"ROBERT, Michel",Men,FRA,France,X,Bronze +Barcelona,1992,Equestrian,Jumping,team,"SIMON, Hugo",Men,AUT,Austria,X,Silver +Barcelona,1992,Equestrian,Jumping,team,"FRUHMANN, Thomas",Men,AUT,Austria,X,Silver +Barcelona,1992,Equestrian,Jumping,team,"NAVET, Eric",Men,FRA,France,X,Bronze +Barcelona,1992,Equestrian,Jumping,team,"RAYMAKERS, Piet",Men,NED,Netherlands,X,Gold +Barcelona,1992,Fencing,Fencing,sabre team,"CHIRCHOV, Aleksander",Men,EUN,Unified team,M,Gold +Barcelona,1992,Fencing,Fencing,épée team,"FELISIAK, Robert",Men,GER,Germany,M,Gold +Barcelona,1992,Fencing,Fencing,foil team,"GARCIA PEREZ, Oscar",Men,CUB,Cuba,M,Silver +Barcelona,1992,Fencing,Fencing,épée team,"KOLCZONAI, Erno",Men,HUN,Hungary,M,Silver +Barcelona,1992,Fencing,Fencing,épée team,"PROSKE, Uwe Gerhard",Men,GER,Germany,M,Gold +Barcelona,1992,Fencing,Fencing,sabre team,"KOVES, Csaba",Men,HUN,Hungary,M,Silver +Barcelona,1992,Fencing,Fencing,foil team,"SOBCZAK, Ryszard",Men,POL,Poland,M,Bronze +Barcelona,1992,Fencing,Fencing,sabre team,"POGOSSOV, Gueorgui",Men,EUN,Unified team,M,Gold +Barcelona,1992,Fencing,Fencing,foil team,"VACCARONI, Dorina",Women,ITA,Italy,W,Gold +Barcelona,1992,Fencing,Fencing,foil team,"GREGORY, Elvis",Men,CUB,Cuba,M,Silver +Barcelona,1992,Fencing,Fencing,foil individual,"GREGORY, Elvis",Men,CUB,Cuba,M,Bronze +Barcelona,1992,Fencing,Fencing,épée team,"KRAVTCHOUK, Serguei",Men,EUN,Unified team,M,Bronze +Barcelona,1992,Fencing,Fencing,épée individual,"KOLOBKOV, Pavel",Men,EUN,Unified team,M,Silver +Barcelona,1992,Fencing,Fencing,épée individual,"HENRY, Jean-Michel",Men,FRA,France,M,Bronze +Barcelona,1992,Fencing,Fencing,épée team,"HEGEDUS, Ferenc",Men,HUN,Hungary,M,Silver +Barcelona,1992,Fencing,Fencing,sabre team,"SZABO, Bence",Men,HUN,Hungary,M,Silver +Barcelona,1992,Fencing,Fencing,épée team,"CHOUVALOV, Andrei",Men,EUN,Unified team,M,Bronze +Barcelona,1992,Fencing,Fencing,épée team,"ZAKHAREVITCH, Valeri",Men,EUN,Unified team,M,Bronze +Barcelona,1992,Fencing,Fencing,sabre team,"GUICHOT, Pierre",Men,FRA,France,M,Bronze +Barcelona,1992,Fencing,Fencing,sabre team,"DUCHEIX, Franck",Men,FRA,France,M,Bronze +Barcelona,1992,Fencing,Fencing,sabre individual,"SZABO, Bence",Men,HUN,Hungary,M,Gold +Barcelona,1992,Fencing,Fencing,sabre team,"BUJDOSO, Imre",Men,HUN,Hungary,M,Silver +Barcelona,1992,Fencing,Fencing,foil individual,"WANG, Huifeng",Women,CHN,China,W,Silver +Barcelona,1992,Fencing,Fencing,foil team,"WEISSENBORN, Ingo",Men,GER,Germany,M,Gold +Barcelona,1992,Fencing,Fencing,foil team,"TRILLINI, Giovanna",Women,ITA,Italy,W,Gold +Barcelona,1992,Fencing,Fencing,foil team,"BAU, Sabine Christiane",Women,GER,Germany,W,Silver +Barcelona,1992,Fencing,Fencing,foil team,"SIESS, Cezary",Men,POL,Poland,M,Bronze +Barcelona,1992,Fencing,Fencing,sabre team,"DAURELLE, Jean-Philippe",Men,FRA,France,M,Bronze +Barcelona,1992,Fencing,Fencing,sabre team,"GUTTSAYT, Vadim",Men,EUN,Unified team,M,Gold +Barcelona,1992,Fencing,Fencing,épée team,"KOLOBKOV, Pavel",Men,EUN,Unified team,M,Bronze +Barcelona,1992,Fencing,Fencing,sabre team,"KIRIYENKO, Grigorii",Men,EUN,Unified team,M,Gold +Barcelona,1992,Fencing,Fencing,foil team,"SZABO-LAZAR, Reka Zsofia",Women,ROU,Romania,W,Bronze +Barcelona,1992,Fencing,Fencing,sabre team,"GRANGER-VEYRON, Herve",Men,FRA,France,M,Bronze +Barcelona,1992,Fencing,Fencing,sabre individual,"MARIN, Marco",Men,ITA,Italy,M,Silver +Barcelona,1992,Fencing,Fencing,sabre team,"NEBALD, György",Men,HUN,Hungary,M,Silver +Barcelona,1992,Fencing,Fencing,foil team,"DOBMEIER, Annette",Women,GER,Germany,W,Silver +Barcelona,1992,Fencing,Fencing,épée team,"KOSTAREV, Serguei",Men,EUN,Unified team,M,Bronze +Barcelona,1992,Fencing,Fencing,foil team,"CARLESCU BADEA, Laura Gabriela",Women,ROU,Romania,W,Bronze +Barcelona,1992,Fencing,Fencing,foil team,"SCHRECK, Ulrich Rainer",Men,GER,Germany,M,Gold +Barcelona,1992,Fencing,Fencing,foil team,"KRZESINSKI, Adam",Men,POL,Poland,M,Bronze +Barcelona,1992,Fencing,Fencing,épée individual,"SRECKI, Eric",Men,FRA,France,M,Gold +Barcelona,1992,Fencing,Fencing,foil team,"WEIDNER, Thorsten",Men,GER,Germany,M,Gold +Barcelona,1992,Fencing,Fencing,foil team,"GARCIA MARTURELL, Hermenegildo",Men,CUB,Cuba,M,Silver +Barcelona,1992,Fencing,Fencing,foil team,"BORTOLOZZI BORELLA, Francesca",Women,ITA,Italy,W,Gold +Barcelona,1992,Fencing,Fencing,épée team,"BORRMANN, Elmar",Men,GER,Germany,M,Gold +Barcelona,1992,Fencing,Fencing,foil team,"DUMITRESCU, Roxana Daniela",Women,ROU,Romania,W,Bronze +Barcelona,1992,Fencing,Fencing,foil individual,"OMNES, Philippe",Men,FRA,France,M,Gold +Barcelona,1992,Fencing,Fencing,foil team,"WEBER-KOSZTO, Monika",Women,GER,Germany,W,Silver +Barcelona,1992,Fencing,Fencing,foil team,"SYPNIEWSKI, Marian",Men,POL,Poland,M,Bronze +Barcelona,1992,Fencing,Fencing,foil team,"BETANCOURT SCULL, Guillermo",Men,CUB,Cuba,M,Silver +Barcelona,1992,Fencing,Fencing,sabre individual,"LAMOUR, Jean-Francois",Men,FRA,France,M,Bronze +Barcelona,1992,Fencing,Fencing,foil team,"TUFAN, Elisabeta",Women,ROU,Romania,W,Bronze +Barcelona,1992,Fencing,Fencing,foil team,"GRIGORESCU, Claudia Laura",Women,ROU,Romania,W,Bronze +Barcelona,1992,Fencing,Fencing,foil team,"FUNKENHAUSER, Zita-Eva",Women,GER,Germany,W,Silver +Barcelona,1992,Fencing,Fencing,épée team,"KOVACS, Ivan",Men,HUN,Hungary,M,Silver +Barcelona,1992,Fencing,Fencing,épée team,"REZNITCHENKO, Vladimir",Men,GER,Germany,M,Gold +Barcelona,1992,Fencing,Fencing,épée team,"TOTOLA, Gabor",Men,HUN,Hungary,M,Silver +Barcelona,1992,Fencing,Fencing,foil team,"WAGNER, Udo",Men,GER,Germany,M,Gold +Barcelona,1992,Fencing,Fencing,foil team,"FICHTEL-MAURITZ, Anja",Women,GER,Germany,W,Silver +Barcelona,1992,Fencing,Fencing,foil team,"KIELPIKOWSKI, Piotr",Men,POL,Poland,M,Bronze +Barcelona,1992,Fencing,Fencing,foil individual,"GOLUBYTSKY, Serguei",Men,EUN,Unified team,M,Silver +Barcelona,1992,Fencing,Fencing,sabre team,"ABAY, Peter",Men,HUN,Hungary,M,Silver +Barcelona,1992,Fencing,Fencing,foil individual,"SADOVSKAIA, Tatiana",Women,EUN,Unified team,W,Bronze +Barcelona,1992,Fencing,Fencing,épée team,"SCHMITT, Arnd Rüdiger",Men,GER,Germany,M,Gold +Barcelona,1992,Fencing,Fencing,épée team,"KULCSAR, Krisztian",Men,HUN,Hungary,M,Silver +Barcelona,1992,Fencing,Fencing,foil team,"DIAZ BABIER, Tulio",Men,CUB,Cuba,M,Silver +Barcelona,1992,Fencing,Fencing,foil team,"ZALAFFI, Margherita",Women,ITA,Italy,W,Gold +Barcelona,1992,Fencing,Fencing,foil individual,"TRILLINI, Giovanna",Women,ITA,Italy,W,Gold +Barcelona,1992,Fencing,Fencing,sabre team,"LAMOUR, Jean-Francois",Men,FRA,France,M,Bronze +Barcelona,1992,Fencing,Fencing,foil team,"KOCH, Alexander",Men,GER,Germany,M,Gold +Barcelona,1992,Fencing,Fencing,sabre team,"POZDNYAKOV, Stanislav",Men,EUN,Unified team,M,Gold +Barcelona,1992,Fencing,Fencing,foil team,"BIANCHEDI, Diana",Women,ITA,Italy,W,Gold +Barcelona,1992,Football,Football,football,"SWIERCZEWSKI, Piotr",Men,POL,Poland,M,Silver +Barcelona,1992,Football,Football,football,"PREKO, Yaw",Men,GHA,Ghana,M,Bronze +Barcelona,1992,Football,Football,football,"FERRER LLOPIS, Albert",Men,ESP,Spain,M,Gold +Barcelona,1992,Football,Football,football,"LASA GOICOECHEA, Mikel",Men,ESP,Spain,M,Gold +Barcelona,1992,Football,Football,football,"AYEW, Kwame",Men,GHA,Ghana,M,Bronze +Barcelona,1992,Football,Football,football,"JALOCHA, Marcin",Men,POL,Poland,M,Silver +Barcelona,1992,Football,Football,football,"KUMAH, Samuel Ablade",Men,GHA,Ghana,M,Bronze +Barcelona,1992,Football,Football,football,"SOLOZABAL VILLANUEVA, Roberto",Men,ESP,Spain,M,Gold +Barcelona,1992,Football,Football,football,"KOZMINSKI, Marek",Men,POL,Poland,M,Silver +Barcelona,1992,Football,Football,football,"ASARE, Isaac",Men,GHA,Ghana,M,Bronze +Barcelona,1992,Football,Football,football,"KLAK, Aleksander",Men,POL,Poland,M,Silver +Barcelona,1992,Football,Football,football,"FERNANDEZ ANTUÑA, Abelardo",Men,ESP,Spain,M,Gold +Barcelona,1992,Football,Football,football,"WALDOCH, Tomasz",Men,POL,Poland,M,Silver +Barcelona,1992,Football,Football,football,"KOWALCZYK, Wojciech",Men,POL,Poland,M,Silver +Barcelona,1992,Football,Football,football,"AMANKWAH, Frank",Men,GHA,Ghana,M,Bronze +Barcelona,1992,Football,Football,football,"ARYEE, Bernard Nii",Men,GHA,Ghana,M,Bronze +Barcelona,1992,Football,Football,football,"KOBYLANSKI, Andrzej",Men,POL,Poland,M,Silver +Barcelona,1992,Football,Football,football,"PEREZ MUÑOZ, Alfonso",Men,ESP,Spain,M,Gold +Barcelona,1992,Football,Football,football,"LAPINSKI, Tomasz",Men,POL,Poland,M,Silver +Barcelona,1992,Football,Football,football,"LAMPTEY, Nii Odartey",Men,GHA,Ghana,M,Bronze +Barcelona,1992,Football,Football,football,"JUSKOWIAK, Andrzej",Men,POL,Poland,M,Silver +Barcelona,1992,Football,Football,football,"QUAYE, Shamo",Men,GHA,Ghana,M,Bronze +Barcelona,1992,Football,Football,football,"ACHEAMPONG, Joachin Yaw",Men,GHA,Ghana,M,Bronze +Barcelona,1992,Football,Football,football,"LOPEZ MARTINEZ, Juan",Men,ESP,Spain,M,Gold +Barcelona,1992,Football,Football,football,"ADDO, Simon",Men,GHA,Ghana,M,Bronze +Barcelona,1992,Football,Football,football,"JIMENEZ SISTACHS, Antonio",Men,ESP,Spain,M,Gold +Barcelona,1992,Football,Football,football,"GARGO, Mohammed",Men,GHA,Ghana,M,Bronze +Barcelona,1992,Football,Football,football,"AMAVISCA GARATE, Jose",Men,ESP,Spain,M,Gold +Barcelona,1992,Football,Football,football,"BERGES MARIN, Rafael",Men,ESP,Spain,M,Gold +Barcelona,1992,Football,Football,football,"NARVAEZ, Quico",Men,ESP,Spain,M,Gold +Barcelona,1992,Football,Football,football,"GUARDIOLA SALA, Josep",Men,ESP,Spain,M,Gold +Barcelona,1992,Football,Football,football,"STANIEK, Ryszard",Men,POL,Poland,M,Silver +Barcelona,1992,Football,Football,football,"ADJEI, Sammi",Men,GHA,Ghana,M,Bronze +Barcelona,1992,Football,Football,football,"BRZECZEK, Jerzy",Men,POL,Poland,M,Silver +Barcelona,1992,Football,Football,football,"GESIOR, Dariusz",Men,POL,Poland,M,Silver +Barcelona,1992,Football,Football,football,"MARTINEZ GARCIA, Luis Enrique",Men,ESP,Spain,M,Gold +Barcelona,1992,Football,Football,football,"DOSSEY, Ibrahim",Men,GHA,Ghana,M,Bronze +Barcelona,1992,Gymnastics,Artistic G.,vault,"MILOSOVICI, Lavinia Corina",Women,ROU,Romania,W,Gold +Barcelona,1992,Gymnastics,Artistic G.,individual all-round,"MILLER, Shannon",Women,USA,United States,W,Silver +Barcelona,1992,Gymnastics,Artistic G.,team competition,"GROUDNEVA, Elena",Women,EUN,Unified team,W,Gold +Barcelona,1992,Gymnastics,Artistic G.,individual all-round,"SCHERBO, Vitaly",Men,EUN,Unified team,M,Gold +Barcelona,1992,Gymnastics,Artistic G.,parallel bars,"MATSUNAGA, Masayuki",Men,JPN,Japan,M,Bronze +Barcelona,1992,Gymnastics,Artistic G.,team competition,"CHUSOVITINA, Oxana.",Women,EUN,Unified team,W,Gold +Barcelona,1992,Gymnastics,Artistic G.,floor exercises,"BONTAS, Cristina",Women,ROU,Romania,W,Bronze +Barcelona,1992,Gymnastics,Artistic G.,team competition,"BOGUINSKAIA, Svetlana",Women,EUN,Unified team,W,Gold +Barcelona,1992,Gymnastics,Artistic G.,parallel bars,"KOROBCHINSKI, Igor",Men,EUN,Unified team,M,Bronze +Barcelona,1992,Gymnastics,Artistic G.,individual all-round,"MILOSOVICI, Lavinia Corina",Women,ROU,Romania,W,Bronze +Barcelona,1992,Gymnastics,Artistic G.,team competition,"LI, Jing",Men,CHN,China,M,Silver +Barcelona,1992,Gymnastics,Artistic G.,pommel horse,"SCHERBO, Vitaly",Men,EUN,Unified team,M,Gold +Barcelona,1992,Gymnastics,Artistic G.,team competition,"NECULITA, Maria",Women,ROU,Romania,W,Silver +Barcelona,1992,Gymnastics,Artistic G.,team competition,"ZMESKAL, Kim",Women,USA,United States,W,Bronze +Barcelona,1992,Gymnastics,Artistic G.,team competition,"GALIEVA, Roza",Women,EUN,Unified team,W,Gold +Barcelona,1992,Gymnastics,Artistic G.,team competition,"BONTAS, Cristina",Women,ROU,Romania,W,Silver +Barcelona,1992,Gymnastics,Artistic G.,team competition,"OKINO, Betty",Women,USA,United States,W,Bronze +Barcelona,1992,Gymnastics,Artistic G.,team competition,"LI, Xiaosahuang",Men,CHN,China,M,Silver +Barcelona,1992,Gymnastics,Artistic G.,floor exercises,"LI, Xiaosahuang",Men,CHN,China,M,Gold +Barcelona,1992,Gymnastics,Artistic G.,team competition,"GOUTSOU, Tatiana",Women,EUN,Unified team,W,Gold +Barcelona,1992,Gymnastics,Artistic G.,parallel bars,"LI, Jing",Men,CHN,China,M,Silver +Barcelona,1992,Gymnastics,Artistic G.,team competition,"BELENKI, Valeri",Men,EUN,Unified team,M,Gold +Barcelona,1992,Gymnastics,Artistic G.,floor exercises,"GOUTSOU, Tatiana",Women,EUN,Unified team,W,Bronze +Barcelona,1992,Gymnastics,Artistic G.,team competition,"DAWES, Dominique",Women,USA,United States,W,Bronze +Barcelona,1992,Gymnastics,Artistic G.,team competition,"MISUTIN, Grigori",Men,EUN,Unified team,M,Gold +Barcelona,1992,Gymnastics,Artistic G.,team competition,"NISHIKAWA, Daisuke",Men,JPN,Japan,M,Bronze +Barcelona,1992,Gymnastics,Artistic G.,uneven bars,"GOUTSOU, Tatiana",Women,EUN,Unified team,W,Silver +Barcelona,1992,Gymnastics,Artistic G.,team competition,"KOROBCHINSKI, Igor",Men,EUN,Unified team,M,Gold +Barcelona,1992,Gymnastics,Artistic G.,team competition,"MILLER, Shannon",Women,USA,United States,W,Bronze +Barcelona,1992,Gymnastics,Artistic G.,balance beam,"LU, Li",Women,CHN,China,W,Silver +Barcelona,1992,Gymnastics,Artistic G.,team competition,"CHINEN, Takashi",Men,JPN,Japan,M,Bronze +Barcelona,1992,Gymnastics,Artistic G.,individual all-round,"GOUTSOU, Tatiana",Women,EUN,Unified team,W,Gold +Barcelona,1992,Gymnastics,Artistic G.,team competition,"GUO, Linyao",Men,CHN,China,M,Silver +Barcelona,1992,Gymnastics,Artistic G.,rings,"LI, Xiaosahuang",Men,CHN,China,M,Bronze +Barcelona,1992,Gymnastics,Artistic G.,floor exercises,"ONODI, Henrietta",Women,HUN,Hungary,W,Silver +Barcelona,1992,Gymnastics,Artistic G.,uneven bars,"LU, Li",Women,CHN,China,W,Gold +Barcelona,1992,Gymnastics,Artistic G.,floor exercises,"IKETANI, Yukio",Men,JPN,Japan,M,Silver +Barcelona,1992,Gymnastics,Artistic G.,individual all-round,"BELENKI, Valeri",Men,EUN,Unified team,M,Bronze +Barcelona,1992,Gymnastics,Artistic G.,team competition,"STRUG, Kerri",Women,USA,United States,W,Bronze +Barcelona,1992,Gymnastics,Artistic G.,team competition,"AIHARA, Yutaka",Men,JPN,Japan,M,Bronze +Barcelona,1992,Gymnastics,Artistic G.,vault,"ONODI, Henrietta",Women,HUN,Hungary,W,Gold +Barcelona,1992,Gymnastics,Artistic G.,rings,"WECKER, Andreas",Men,GER,Germany,M,Bronze +Barcelona,1992,Gymnastics,Artistic G.,team competition,"BRUCE, Wendy",Women,USA,United States,W,Bronze +Barcelona,1992,Gymnastics,Artistic G.,parallel bars,"SCHERBO, Vitaly",Men,EUN,Unified team,M,Gold +Barcelona,1992,Gymnastics,Artistic G.,balance beam,"MILLER, Shannon",Women,USA,United States,W,Silver +Barcelona,1992,Gymnastics,Artistic G.,balance beam,"LYSSENKO, Tatiana",Women,EUN,Unified team,W,Gold +Barcelona,1992,Gymnastics,Artistic G.,team competition,"GOGEAN, Gina Elena",Women,ROU,Romania,W,Silver +Barcelona,1992,Gymnastics,Artistic G.,vault,"YOO, Ok Ryul",Men,KOR,"Korea, South",M,Bronze +Barcelona,1992,Gymnastics,Artistic G.,individual all-round,"MISUTIN, Grigori",Men,EUN,Unified team,M,Silver +Barcelona,1992,Gymnastics,Artistic G.,pommel horse,"WECKER, Andreas",Men,GER,Germany,M,Bronze +Barcelona,1992,Gymnastics,Artistic G.,team competition,"SCHERBO, Vitaly",Men,EUN,Unified team,M,Gold +Barcelona,1992,Gymnastics,Artistic G.,parallel bars,"GUO, Linyao",Men,CHN,China,M,Bronze +Barcelona,1992,Gymnastics,Artistic G.,horizontal bar,"MISUTIN, Grigori",Men,EUN,Unified team,M,Silver +Barcelona,1992,Gymnastics,Artistic G.,team competition,"LI, Dashuang",Men,CHN,China,M,Silver +Barcelona,1992,Gymnastics,Artistic G.,floor exercises,"MILOSOVICI, Lavinia Corina",Women,ROU,Romania,W,Gold +Barcelona,1992,Gymnastics,Artistic G.,uneven bars,"MILLER, Shannon",Women,USA,United States,W,Bronze +Barcelona,1992,Gymnastics,Artistic G.,rings,"LI, Jing",Men,CHN,China,M,Silver +Barcelona,1992,Gymnastics,Artistic G.,team competition,"LI, Chunyang",Men,CHN,China,M,Silver +Barcelona,1992,Gymnastics,Artistic G.,team competition,"MILOSOVICI, Lavinia Corina",Women,ROU,Romania,W,Silver +Barcelona,1992,Gymnastics,Artistic G.,pommel horse,"PAE, Gil-Su",Men,PRK,"Korea, North",M,Gold +Barcelona,1992,Gymnastics,Artistic G.,floor exercises,"MILLER, Shannon",Women,USA,United States,W,Bronze +Barcelona,1992,Gymnastics,Artistic G.,horizontal bar,"DIMAS, Trent",Men,USA,United States,M,Gold +Barcelona,1992,Gymnastics,Artistic G.,floor exercises,"MISUTIN, Grigori",Men,EUN,Unified team,M,Silver +Barcelona,1992,Gymnastics,Artistic G.,team competition,"PASCA, Mirela Ana",Women,ROU,Romania,W,Silver +Barcelona,1992,Gymnastics,Artistic G.,vault,"LYSSENKO, Tatiana",Women,EUN,Unified team,W,Bronze +Barcelona,1992,Gymnastics,Artistic G.,team competition,"HADAREAN, Vanda Maria",Women,ROU,Romania,W,Silver +Barcelona,1992,Gymnastics,Artistic G.,team competition,"HATAKEDA, Yoshiaki",Men,JPN,Japan,M,Bronze +Barcelona,1992,Gymnastics,Artistic G.,team competition,"SHARIPOV, Roustam",Men,EUN,Unified team,M,Gold +Barcelona,1992,Gymnastics,Artistic G.,vault,"SCHERBO, Vitaly",Men,EUN,Unified team,M,Gold +Barcelona,1992,Gymnastics,Artistic G.,team competition,"VOROPAEV, Aleksei",Men,EUN,Unified team,M,Gold +Barcelona,1992,Gymnastics,Artistic G.,team competition,"LI, Ge",Men,CHN,China,M,Silver +Barcelona,1992,Gymnastics,Artistic G.,team competition,"LYSSENKO, Tatiana",Women,EUN,Unified team,W,Gold +Barcelona,1992,Gymnastics,Artistic G.,team competition,"IKETANI, Yukio",Men,JPN,Japan,M,Bronze +Barcelona,1992,Gymnastics,Artistic G.,team competition,"MATSUNAGA, Masayuki",Men,JPN,Japan,M,Bronze +Barcelona,1992,Gymnastics,Artistic G.,rings,"SCHERBO, Vitaly",Men,EUN,Unified team,M,Gold +Barcelona,1992,Gymnastics,Artistic G.,vault,"MISUTIN, Grigori",Men,EUN,Unified team,M,Silver +Barcelona,1992,Gymnastics,Artistic G.,horizontal bar,"WECKER, Andreas",Men,GER,Germany,M,Silver +Barcelona,1992,Gymnastics,Rhythmic G.,individual all-round,"SKALDINA, Oksana",Women,EUN,Unified team,W,Bronze +Barcelona,1992,Gymnastics,Rhythmic G.,individual all-round,"PASCUAL GRACIA, Carolina",Women,ESP,Spain,W,Silver +Barcelona,1992,Gymnastics,Rhythmic G.,individual all-round,"TIMOSHENKO, Alexandra",Women,EUN,Unified team,W,Gold +Barcelona,1992,Handball,Handball,handball,"MORSKOVA, Natalia",Women,EUN,Unified team,W,Bronze +Barcelona,1992,Handball,Handball,handball,"GOKSOR, Susann",Women,NOR,Norway,W,Silver +Barcelona,1992,Handball,Handball,handball,"MAHE, Pascal",Men,FRA,France,M,Bronze +Barcelona,1992,Handball,Handball,handball,"GOUDZ, Lioudmila",Women,EUN,Unified team,W,Bronze +Barcelona,1992,Handball,Handball,handball,"LEE, Ho-Youn",Women,KOR,"Korea, South",W,Gold +Barcelona,1992,Handball,Handball,handball,"GOUSSEVA, Elina",Women,EUN,Unified team,W,Bronze +Barcelona,1992,Handball,Handball,handball,"STOECKLIN, Stephane",Men,FRA,France,M,Bronze +Barcelona,1992,Handball,Handball,handball,"LATHOUD, Denis",Men,FRA,France,M,Bronze +Barcelona,1992,Handball,Handball,handball,"SAGSTUEN, Tonje",Women,NOR,Norway,W,Silver +Barcelona,1992,Handball,Handball,handball,"GOPINE, Valeri",Men,EUN,Unified team,M,Gold +Barcelona,1992,Handball,Handball,handball,"SUORANIEMI, Tommy",Men,SWE,Sweden,M,Silver +Barcelona,1992,Handball,Handball,handball,"BACKEGREN, Anders",Men,SWE,Sweden,M,Silver +Barcelona,1992,Handball,Handball,handball,"CHA, Jae-Kyung",Women,KOR,"Korea, South",W,Gold +Barcelona,1992,Handball,Handball,handball,"LAVROV, Andrey",Men,EUN,Unified team,M,Gold +Barcelona,1992,Handball,Handball,handball,"SVENDSEN, Cathrine",Women,NOR,Norway,W,Silver +Barcelona,1992,Handball,Handball,handball,"HOGNESS, Hanne",Women,NOR,Norway,W,Silver +Barcelona,1992,Handball,Handball,handball,"DAHLE, Mona",Women,NOR,Norway,W,Silver +Barcelona,1992,Handball,Handball,handball,"DEBUREAU, Philippe",Men,FRA,France,M,Bronze +Barcelona,1992,Handball,Handball,handball,"LIM, O Kyeong",Women,KOR,"Korea, South",W,Gold +Barcelona,1992,Handball,Handball,handball,"TRISTANT, Denis",Men,FRA,France,M,Bronze +Barcelona,1992,Handball,Handball,handball,"MOON, Hyang-Ja",Women,KOR,"Korea, South",W,Gold +Barcelona,1992,Handball,Handball,handball,"HAJAS, Erik",Men,SWE,Sweden,M,Silver +Barcelona,1992,Handball,Handball,handball,"BOGDANOVA, Svetlana",Women,EUN,Unified team,W,Bronze +Barcelona,1992,Handball,Handball,handball,"GORB, Tatiana",Women,EUN,Unified team,W,Bronze +Barcelona,1992,Handball,Handball,handball,"MUNIER, Laurent",Men,FRA,France,M,Bronze +Barcelona,1992,Handball,Handball,handball,"DOUICHEBAEV, Talant",Men,EUN,Unified team,M,Gold +Barcelona,1992,Handball,Handball,handball,"RICHARDSON, Jackson",Men,FRA,France,M,Bronze +Barcelona,1992,Handball,Handball,handball,"PORTES, Alain",Men,FRA,France,M,Bronze +Barcelona,1992,Handball,Handball,handball,"NAM, Eun-Young",Women,KOR,"Korea, South",W,Gold +Barcelona,1992,Handball,Handball,handball,"PARK, Kap-Sook",Women,KOR,"Korea, South",W,Gold +Barcelona,1992,Handball,Handball,handball,"OLSSON, Staffan",Men,SWE,Sweden,M,Silver +Barcelona,1992,Handball,Handball,handball,"DERIOUGUINA, Natalia",Women,EUN,Unified team,W,Bronze +Barcelona,1992,Handball,Handball,handball,"MIN, Hye-Sook",Women,KOR,"Korea, South",W,Gold +Barcelona,1992,Handball,Handball,handball,"KISSELEV, Oleg",Men,EUN,Unified team,M,Gold +Barcelona,1992,Handball,Handball,handball,"BAZANOVA, Marina",Women,EUN,Unified team,W,Bronze +Barcelona,1992,Handball,Handball,handball,"GREBNEV, Oleg",Men,EUN,Unified team,M,Gold +Barcelona,1992,Handball,Handball,handball,"TCHOUMAK, Igor",Men,EUN,Unified team,M,Gold +Barcelona,1992,Handball,Handball,handball,"BEBECHKO, Serguei",Men,EUN,Unified team,M,Gold +Barcelona,1992,Handball,Handball,handball,"LILJESTRAND, Patrik",Men,SWE,Sweden,M,Silver +Barcelona,1992,Handball,Handball,handball,"TJUGUM, Heidi Maire",Women,NOR,Norway,W,Silver +Barcelona,1992,Handball,Handball,handball,"ANDERSSON, Robert",Men,SWE,Sweden,M,Silver +Barcelona,1992,Handball,Handball,handball,"PERREUX, Thierry",Men,FRA,France,M,Bronze +Barcelona,1992,Handball,Handball,handball,"ONOPRIENKO, Galina",Women,EUN,Unified team,W,Bronze +Barcelona,1992,Handball,Handball,handball,"PEREZ, Frederic",Men,FRA,France,M,Bronze +Barcelona,1992,Handball,Handball,handball,"DUVHOLT, Kristine",Women,NOR,Norway,W,Silver +Barcelona,1992,Handball,Handball,handball,"KOUDINOV, Vassili",Men,EUN,Unified team,M,Gold +Barcelona,1992,Handball,Handball,handball,"ANISIMOVA, Natalya",Women,EUN,Unified team,W,Bronze +Barcelona,1992,Handball,Handball,handball,"HENRIKSEN, Henriette",Women,NOR,Norway,W,Silver +Barcelona,1992,Handball,Handball,handball,"SJOEBLAD, Axel",Men,SWE,Sweden,M,Silver +Barcelona,1992,Handball,Handball,handball,"EFTEDAL, Siri",Women,NOR,Norway,W,Silver +Barcelona,1992,Handball,Handball,handball,"HONG, Jeong-Ho",Women,KOR,"Korea, South",W,Gold +Barcelona,1992,Handball,Handball,handball,"JANG, Ri-Ra",Women,KOR,"Korea, South",W,Gold +Barcelona,1992,Handball,Handball,handball,"OH, Seongok",Women,KOR,"Korea, South",W,Gold +Barcelona,1992,Handball,Handball,handball,"KISSELEVA, Larissa",Women,EUN,Unified team,W,Bronze +Barcelona,1992,Handball,Handball,handball,"CATO, Magnus",Men,SWE,Sweden,M,Silver +Barcelona,1992,Handball,Handball,handball,"LEE, Mi-Young",Women,KOR,"Korea, South",W,Gold +Barcelona,1992,Handball,Handball,handball,"SUNDAL, Heidi",Women,NOR,Norway,W,Silver +Barcelona,1992,Handball,Handball,handball,"KIM, Hwa-Sook",Women,KOR,"Korea, South",W,Gold +Barcelona,1992,Handball,Handball,handball,"BORZENKOVA, Galina",Women,EUN,Unified team,W,Bronze +Barcelona,1992,Handball,Handball,handball,"ANDERSSON, Magnus",Men,SWE,Sweden,M,Silver +Barcelona,1992,Handball,Handball,handball,"STEEN, Ingrid",Women,NOR,Norway,W,Silver +Barcelona,1992,Handball,Handball,handball,"LINDGREN, Ola",Men,SWE,Sweden,M,Silver +Barcelona,1992,Handball,Handball,handball,"FROSETH, Hege Kirsti",Women,NOR,Norway,W,Silver +Barcelona,1992,Handball,Handball,handball,"QUINTIN, Eric",Men,FRA,France,M,Bronze +Barcelona,1992,Handball,Handball,handball,"SKOTVOLL, Annette",Women,NOR,Norway,W,Silver +Barcelona,1992,Handball,Handball,handball,"HEDIN, Robert",Men,SWE,Sweden,M,Silver +Barcelona,1992,Handball,Handball,handball,"DJANDJGAVA, Tatiana",Women,EUN,Unified team,W,Bronze +Barcelona,1992,Handball,Handball,handball,"PARK, Jeong-Lim",Women,KOR,"Korea, South",W,Gold +Barcelona,1992,Handball,Handball,handball,"PRIAHINA, Svetlana",Women,EUN,Unified team,W,Bronze +Barcelona,1992,Handball,Handball,handball,"SVENSSON, Tomas",Men,SWE,Sweden,M,Silver +Barcelona,1992,Handball,Handball,handball,"MEDARD, Philippe",Men,FRA,France,M,Bronze +Barcelona,1992,Handball,Handball,handball,"CARLEM, Per",Men,SWE,Sweden,M,Silver +Barcelona,1992,Handball,Handball,handball,"IAKIMOVITCH, Mikhail",Men,EUN,Unified team,M,Gold +Barcelona,1992,Handball,Handball,handball,"PETTERSEN, Karin",Women,NOR,Norway,W,Silver +Barcelona,1992,Handball,Handball,handball,"GARDENT, Philippe",Men,FRA,France,M,Bronze +Barcelona,1992,Handball,Handball,handball,"MONTHUREL, Gael",Men,FRA,France,M,Bronze +Barcelona,1992,Handball,Handball,handball,"WISLANDER, Magnus",Men,SWE,Sweden,M,Silver +Barcelona,1992,Handball,Handball,handball,"VASSILIEV, Igor",Men,EUN,Unified team,M,Gold +Barcelona,1992,Handball,Handball,handball,"BARBACHINSKI, Andrei",Men,EUN,Unified team,M,Gold +Barcelona,1992,Handball,Handball,handball,"VOLLE, Frederic",Men,FRA,France,M,Bronze +Barcelona,1992,Handball,Handball,handball,"OLSSON, Mats",Men,SWE,Sweden,M,Silver +Barcelona,1992,Handball,Handball,handball,"THORSSON, Pierre",Men,SWE,Sweden,M,Silver +Barcelona,1992,Handball,Handball,handball,"GAVRILOV, Yuri",Men,EUN,Unified team,M,Gold +Barcelona,1992,Handball,Handball,handball,"THIEBAUT, Jean-Luc",Men,FRA,France,M,Bronze +Barcelona,1992,Hockey,Hockey,hockey,"BIRMINGHAM, Warren",Men,AUS,Australia,M,Silver +Barcelona,1992,Hockey,Hockey,hockey,"BAYLISS, Lisa Jayne",Women,GBR,United Kingdom,W,Bronze +Barcelona,1992,Hockey,Hockey,hockey,"BLUNCK, Christian",Men,GER,Germany,M,Gold +Barcelona,1992,Hockey,Hockey,hockey,"FARHAT, Hasan Khan",Men,PAK,Pakistan,M,Bronze +Barcelona,1992,Hockey,Hockey,hockey,"ANJUM, Saeed",Men,PAK,Pakistan,M,Bronze +Barcelona,1992,Hockey,Hockey,hockey,"WARK, Kenneth",Men,AUS,Australia,M,Silver +Barcelona,1992,Hockey,Hockey,hockey,"SIXSMITH, Jane Theresa",Women,GBR,United Kingdom,W,Bronze +Barcelona,1992,Hockey,Hockey,hockey,"CORRES GINER, Celia",Women,ESP,Spain,W,Gold +Barcelona,1992,Hockey,Hockey,hockey,"TEWES, Stefan",Men,GER,Germany,M,Gold +Barcelona,1992,Hockey,Hockey,hockey,"JOHNSON, Kathryn Louise",Women,GBR,United Kingdom,W,Bronze +Barcelona,1992,Hockey,Hockey,hockey,"DIXON, Victoria Jane",Women,GBR,United Kingdom,W,Bronze +Barcelona,1992,Hockey,Hockey,hockey,"WILD, Anke",Women,GER,Germany,W,Silver +Barcelona,1992,Hockey,Hockey,hockey,"STACEY, Jay Jason",Men,AUS,Australia,M,Silver +Barcelona,1992,Hockey,Hockey,hockey,"MUHAMMAD, Qamar Ibrahim",Men,PAK,Pakistan,M,Bronze +Barcelona,1992,Hockey,Hockey,hockey,"KURTZ, Oliver Michael",Men,GER,Germany,M,Gold +Barcelona,1992,Hockey,Hockey,hockey,"KHAWAJA, Muhammad Junaid",Men,PAK,Pakistan,M,Bronze +Barcelona,1992,Hockey,Hockey,hockey,"REID, Graham",Men,AUS,Australia,M,Silver +Barcelona,1992,Hockey,Hockey,hockey,"WANSBROUGH, David",Men,AUS,Australia,M,Silver +Barcelona,1992,Hockey,Hockey,hockey,"ERNSTING-KRIENKE, Nadine",Women,GER,Germany,W,Silver +Barcelona,1992,Hockey,Hockey,hockey,"KNAUTH, Michael",Men,GER,Germany,M,Gold +Barcelona,1992,Hockey,Hockey,hockey,"ELMER, Lachlan",Men,AUS,Australia,M,Silver +Barcelona,1992,Hockey,Hockey,hockey,"MILLER, Tammy Kelly",Women,GBR,United Kingdom,W,Bronze +Barcelona,1992,Hockey,Hockey,hockey,"TAHIR, Zaman",Men,PAK,Pakistan,M,Bronze +Barcelona,1992,Hockey,Hockey,hockey,"BODIMEADE, Lee",Men,AUS,Australia,M,Silver +Barcelona,1992,Hockey,Hockey,hockey,"DREHER, Lachlan",Men,AUS,Australia,M,Silver +Barcelona,1992,Hockey,Hockey,hockey,"GONZALEZ, Maria",Women,ESP,Spain,W,Gold +Barcelona,1992,Hockey,Hockey,hockey,"RODRIGUEZ SUAREZ, Maria",Women,ESP,Spain,W,Gold +Barcelona,1992,Hockey,Hockey,hockey,"DICKENSCHEID, Tanja Roswitha",Women,GER,Germany,W,Silver +Barcelona,1992,Hockey,Hockey,hockey,"DAVIES, Stephen",Men,AUS,Australia,M,Silver +Barcelona,1992,Hockey,Hockey,hockey,"MAIQUES DERN, Ana",Women,ESP,Spain,W,Gold +Barcelona,1992,Hockey,Hockey,hockey,"KUHNT, Irina",Women,GER,Germany,W,Silver +Barcelona,1992,Hockey,Hockey,hockey,"BECKER, Britta",Women,GER,Germany,W,Silver +Barcelona,1992,Hockey,Hockey,hockey,"LEWIS, Paul Snowden",Men,AUS,Australia,M,Silver +Barcelona,1992,Hockey,Hockey,hockey,"HILGERS, Michael",Men,GER,Germany,M,Gold +Barcelona,1992,Hockey,Hockey,hockey,"THOMASCHINSKI, Simone Heike",Women,GER,Germany,W,Silver +Barcelona,1992,Hockey,Hockey,hockey,"BECKER, Andreas",Men,GER,Germany,M,Gold +Barcelona,1992,Hockey,Hockey,hockey,"MORGAN, Helen Jane",Women,GBR,United Kingdom,W,Bronze +Barcelona,1992,Hockey,Hockey,hockey,"NEVILL, Mary Elizabeth",Women,GBR,United Kingdom,W,Bronze +Barcelona,1992,Hockey,Hockey,hockey,"LISTER, Sandie",Women,GBR,United Kingdom,W,Bronze +Barcelona,1992,Hockey,Hockey,hockey,"BARRIO, Sonia",Women,ESP,Spain,W,Gold +Barcelona,1992,Hockey,Hockey,hockey,"MARAGALL VERGE, Elisabeth",Women,ESP,Spain,W,Gold +Barcelona,1992,Hockey,Hockey,hockey,"GABELLANES, Nagore",Women,ESP,Spain,W,Gold +Barcelona,1992,Hockey,Hockey,hockey,"MUHAMMAD, Ikhlaq",Men,PAK,Pakistan,M,Bronze +Barcelona,1992,Hockey,Hockey,hockey,"FRASER, Susan Barbara",Women,GBR,United Kingdom,W,Bronze +Barcelona,1992,Hockey,Hockey,hockey,"MANSOOR, Ahmed",Men,PAK,Pakistan,M,Bronze +Barcelona,1992,Hockey,Hockey,hockey,"COGHEN ALBERDINGO, Mercedes",Women,ESP,Spain,W,Gold +Barcelona,1992,Hockey,Hockey,hockey,"SALIGER, Stefan",Men,GER,Germany,M,Gold +Barcelona,1992,Hockey,Hockey,hockey,"HAGENBÄUMER, Eva",Women,GER,Germany,W,Silver +Barcelona,1992,Hockey,Hockey,hockey,"JUNGJOHANN, Caren",Women,GER,Germany,W,Silver +Barcelona,1992,Hockey,Hockey,hockey,"TEWES, Jan-Peter",Men,GER,Germany,M,Gold +Barcelona,1992,Hockey,Hockey,hockey,"LAETZSCH, Heike",Women,GER,Germany,W,Silver +Barcelona,1992,Hockey,Hockey,hockey,"MEINHARDT, Sven",Men,GER,Germany,M,Gold +Barcelona,1992,Hockey,Hockey,hockey,"BROWN, Karen",Women,GBR,United Kingdom,W,Bronze +Barcelona,1992,Hockey,Hockey,hockey,"METZ, Michael",Men,GER,Germany,M,Gold +Barcelona,1992,Hockey,Hockey,hockey,"SHAHBAZ, Ahmed",Men,PAK,Pakistan,M,Bronze +Barcelona,1992,Hockey,Hockey,hockey,"BESTALL, John Roderick",Men,AUS,Australia,M,Silver +Barcelona,1992,Hockey,Hockey,hockey,"RAMIREZ MERINO, Virginia",Women,ESP,Spain,W,Gold +Barcelona,1992,Hockey,Hockey,hockey,"YORK, Michael",Men,AUS,Australia,M,Silver +Barcelona,1992,Hockey,Hockey,hockey,"ATKINS, Gillian",Women,GBR,United Kingdom,W,Bronze +Barcelona,1992,Hockey,Hockey,hockey,"THOMPSON, Joanne Sarah",Women,GBR,United Kingdom,W,Bronze +Barcelona,1992,Hockey,Hockey,hockey,"MARTINEZ DE MURGUIA, Maria",Women,ESP,Spain,W,Gold +Barcelona,1992,Hockey,Hockey,hockey,"FERNECK, Christina Stephanie",Women,GER,Germany,W,Silver +Barcelona,1992,Hockey,Hockey,hockey,"KELLER, Andreas",Men,GER,Germany,M,Gold +Barcelona,1992,Hockey,Hockey,hockey,"EVANS, Dean",Men,AUS,Australia,M,Silver +Barcelona,1992,Hockey,Hockey,hockey,"MÜLLER, Susanne",Women,GER,Germany,W,Silver +Barcelona,1992,Hockey,Hockey,hockey,"MCWILLIAMS, Jackie Amanda",Women,GBR,United Kingdom,W,Bronze +Barcelona,1992,Hockey,Hockey,hockey,"CORBITT, Gregory",Men,AUS,Australia,M,Silver +Barcelona,1992,Hockey,Hockey,hockey,"WEISS, Bianca Margot",Women,GER,Germany,W,Silver +Barcelona,1992,Hockey,Hockey,hockey,"MUHAMMAD, Asif Bajwa",Men,PAK,Pakistan,M,Bronze +Barcelona,1992,Hockey,Hockey,hockey,"WOLLSCHLAGER, Susanne",Women,GER,Germany,W,Silver +Barcelona,1992,Hockey,Hockey,hockey,"MICHLER, Klaus",Men,GER,Germany,M,Gold +Barcelona,1992,Hockey,Hockey,hockey,"NICHOLLS, Mandy",Women,GBR,United Kingdom,W,Bronze +Barcelona,1992,Hockey,Hockey,hockey,"MUHAMMAD, Khalid",Men,PAK,Pakistan,M,Bronze +Barcelona,1992,Hockey,Hockey,hockey,"KHALID, Bashir",Men,PAK,Pakistan,M,Bronze +Barcelona,1992,Hockey,Hockey,hockey,"SHAHID, Ali Khan",Men,PAK,Pakistan,M,Bronze +Barcelona,1992,Hockey,Hockey,hockey,"RAMSAY, Alison Gail",Women,GBR,United Kingdom,W,Bronze +Barcelona,1992,Hockey,Hockey,hockey,"DORADO, Natalia",Women,ESP,Spain,W,Gold +Barcelona,1992,Hockey,Hockey,hockey,"FRIED, Volker",Men,GER,Germany,M,Gold +Barcelona,1992,Hockey,Hockey,hockey,"DILETTI, Damon",Men,AUS,Australia,M,Silver +Barcelona,1992,Hockey,Hockey,hockey,"KAUSCHKE, Katrin",Women,GER,Germany,W,Silver +Barcelona,1992,Hockey,Hockey,hockey,"REITZ, Christopher",Men,GER,Germany,M,Gold +Barcelona,1992,Hockey,Hockey,hockey,"MANRIQUE, Silvia",Women,ESP,Spain,W,Gold +Barcelona,1992,Hockey,Hockey,hockey,"PETERS, Kristina",Women,GER,Germany,W,Silver +Barcelona,1992,Hockey,Hockey,hockey,"SHAHBAZ, Muhammad",Men,PAK,Pakistan,M,Bronze +Barcelona,1992,Hockey,Hockey,hockey,"FRASER, Wendy Katrina",Women,GBR,United Kingdom,W,Bronze +Barcelona,1992,Hockey,Hockey,hockey,"TELLERIA, Maider",Women,ESP,Spain,W,Gold +Barcelona,1992,Hockey,Hockey,hockey,"MAYERHÖFER, Christian",Men,GER,Germany,M,Gold +Barcelona,1992,Hockey,Hockey,hockey,"OLIVE VANCELLS, Nuria",Women,ESP,Spain,W,Gold +Barcelona,1992,Hockey,Hockey,hockey,"MOTOS, Teresa",Women,ESP,Spain,W,Gold +Barcelona,1992,Hockey,Hockey,hockey,"WASIM, Feroz",Men,PAK,Pakistan,M,Bronze +Barcelona,1992,Hockey,Hockey,hockey,"BAREA, Maria Del Carme N",Women,ESP,Spain,W,Gold +Barcelona,1992,Hockey,Hockey,hockey,"RANA, Mujahid Ali",Men,PAK,Pakistan,M,Bronze +Barcelona,1992,Hockey,Hockey,hockey,"HENTSCHEL, Franziska",Women,GER,Germany,W,Silver +Barcelona,1992,Hockey,Hockey,hockey,"FISCHER, Carsten",Men,GER,Germany,M,Gold +Barcelona,1992,Hockey,Hockey,hockey,"CAREY, Ashley",Men,AUS,Australia,M,Silver +Barcelona,1992,Hockey,Hockey,hockey,"MUSADDAQ, Hussain",Men,PAK,Pakistan,M,Bronze +Barcelona,1992,Judo,Judo,+ 95kg (heavyweight),"OGAWA, Naoya",Men,JPN,Japan,M,Silver +Barcelona,1992,Judo,Judo,61 - 66kg (middleweight),"REVE JIMENEZ, Odalis",Women,CUB,Cuba,W,Gold +Barcelona,1992,Judo,Judo,52 - 56kg (lightweight),"TATENO, Chiyori",Women,JPN,Japan,W,Bronze +Barcelona,1992,Judo,Judo,56 - 61kg (half-middleweight),"ZHANG, Di",Women,CHN,China,W,Bronze +Barcelona,1992,Judo,Judo,+ 72kg (heavyweight),"LUPINO, Natalia",Women,FRA,France,W,Bronze +Barcelona,1992,Judo,Judo,52 - 56kg (lightweight),"BLASCO SOTO, Miriam",Women,ESP,Spain,W,Gold +Barcelona,1992,Judo,Judo,71 - 78kg (half-middleweight),"KIM, Byung Joo",Men,KOR,"Korea, South",M,Bronze +Barcelona,1992,Judo,Judo,66 - 72kg (half-heavyweight),"TANABE, Yoko",Women,JPN,Japan,W,Silver +Barcelona,1992,Judo,Judo,+ 72kg (heavyweight),"ZHUANG, Xiaoyan",Women,CHN,China,W,Gold +Barcelona,1992,Judo,Judo,86 - 95kg (half-heavyweight),"SERGUEEV, Dmitri",Men,EUN,Unified team,M,Bronze +Barcelona,1992,Judo,Judo,61 - 66kg (middleweight),"RAKELS, Heidi",Women,BEL,Belgium,W,Bronze +Barcelona,1992,Judo,Judo,78 - 86kg (middleweight),"TAYOT, Pascal",Men,FRA,France,M,Silver +Barcelona,1992,Judo,Judo,+ 72kg (heavyweight),"RODRIGUEZ VILLANUEVA, Estela",Women,CUB,Cuba,W,Silver +Barcelona,1992,Judo,Judo,+ 72kg (heavyweight),"SAKAUE, Yoko",Women,JPN,Japan,W,Bronze +Barcelona,1992,Judo,Judo,- 48kg (extra-lightweight),"SENYURT, Hulya",Women,TUR,Turkey,W,Bronze +Barcelona,1992,Judo,Judo,48 - 52kg (half-lightweight),"MUNOZ MARTINEZ, Almudena",Women,ESP,Spain,W,Gold +Barcelona,1992,Judo,Judo,65 - 71kg (lightweight),"CHUNG, Hoon",Men,KOR,"Korea, South",M,Bronze +Barcelona,1992,Judo,Judo,+ 95kg (heavyweight),"CSOSZ, Imre",Men,HUN,Hungary,M,Bronze +Barcelona,1992,Judo,Judo,65 - 71kg (lightweight),"HAJTOS, Bertalan",Men,HUN,Hungary,M,Silver +Barcelona,1992,Judo,Judo,+ 95kg (heavyweight),"DOUILLET, David",Men,FRA,France,M,Bronze +Barcelona,1992,Judo,Judo,66 - 72kg (half-heavyweight),"DE KOK, Irene",Women,NED,Netherlands,W,Bronze +Barcelona,1992,Judo,Judo,61 - 66kg (middleweight),"HOWEY, Kate",Women,GBR,United Kingdom,W,Bronze +Barcelona,1992,Judo,Judo,78 - 86kg (middleweight),"LEGIEN, Waldemar",Men,POL,Poland,M,Gold +Barcelona,1992,Judo,Judo,- 48kg (extra-lightweight),"SAVON, Amarilys",Women,CUB,Cuba,W,Bronze +Barcelona,1992,Judo,Judo,60 - 65kg (half-lightweight),"CSAK, Jozsef",Men,HUN,Hungary,M,Silver +Barcelona,1992,Judo,Judo,48 - 52kg (half-lightweight),"RENDLE, Sharon Susan",Women,GBR,United Kingdom,W,Bronze +Barcelona,1992,Judo,Judo,- 48kg (extra-lightweight),"TANI, Ryoko",Women,JPN,Japan,W,Silver +Barcelona,1992,Judo,Judo,71 - 78kg (half-middleweight),"MORRIS, Jason Newth",Men,USA,United States,M,Silver +Barcelona,1992,Judo,Judo,86 - 95kg (half-heavyweight),"MEIJER, Theo",Men,NED,Netherlands,M,Bronze +Barcelona,1992,Judo,Judo,56 - 61kg (half-middleweight),"ARAD, Yael",Women,ISR,Israel,W,Silver +Barcelona,1992,Judo,Judo,65 - 71kg (lightweight),"KOGA, Toshihiko",Men,JPN,Japan,M,Gold +Barcelona,1992,Judo,Judo,52 - 56kg (lightweight),"FAIRBROTHER, Nicola Kim",Women,GBR,United Kingdom,W,Silver +Barcelona,1992,Judo,Judo,48 - 52kg (half-lightweight),"LI, Zhongyun",Women,CHN,China,W,Bronze +Barcelona,1992,Judo,Judo,52 - 56kg (lightweight),"GONZALEZ, Driulys",Women,CUB,Cuba,W,Bronze +Barcelona,1992,Judo,Judo,48 - 52kg (half-lightweight),"MIZOGUCHI, Noriko",Women,JPN,Japan,W,Silver +Barcelona,1992,Judo,Judo,78 - 86kg (middleweight),"GILL, Nicolas",Men,CAN,Canada,M,Bronze +Barcelona,1992,Judo,Judo,66 - 72kg (half-heavyweight),"MEIGNAN, Laetitia",Women,FRA,France,W,Bronze +Barcelona,1992,Judo,Judo,66 - 72kg (half-heavyweight),"KIM, Mi-Jung",Women,KOR,"Korea, South",W,Gold +Barcelona,1992,Judo,Judo,60 - 65kg (half-lightweight),"SAMPAIO CARDOSO, Rogerio",Men,BRA,Brazil,M,Gold +Barcelona,1992,Judo,Judo,86 - 95kg (half-heavyweight),"KOVACS, Antal",Men,HUN,Hungary,M,Gold +Barcelona,1992,Judo,Judo,60 - 65kg (half-lightweight),"QUELLMALZ, Udo",Men,GER,Germany,M,Bronze +Barcelona,1992,Judo,Judo,71 - 78kg (half-middleweight),"YOSHIDA, Hidehiko",Men,JPN,Japan,M,Gold +Barcelona,1992,Judo,Judo,+ 95kg (heavyweight),"KHAKHALEICHVILI, David",Men,EUN,Unified team,M,Gold +Barcelona,1992,Judo,Judo,- 48kg (extra-lightweight),"NOWAK, Cecile",Women,FRA,France,W,Gold +Barcelona,1992,Judo,Judo,65 - 71kg (lightweight),"SMADJA, Shay Oren",Men,ISR,Israel,M,Bronze +Barcelona,1992,Judo,Judo,- 60 kg,"TRAUTMANN, Richard",Men,GER,Germany,M,Bronze +Barcelona,1992,Judo,Judo,78 - 86kg (middleweight),"OKADA, Hirotaka",Men,JPN,Japan,M,Bronze +Barcelona,1992,Judo,Judo,56 - 61kg (half-middleweight),"FLEURY-VACHON, Catherine",Women,FRA,France,W,Gold +Barcelona,1992,Judo,Judo,- 60 kg,"KOSHINO, Tadanori",Men,JPN,Japan,M,Bronze +Barcelona,1992,Judo,Judo,61 - 66kg (middleweight),"PIERANTOZZI, Emanuela",Women,ITA,Italy,W,Silver +Barcelona,1992,Judo,Judo,60 - 65kg (half-lightweight),"HERNANDEZ PLANA, Israel",Men,CUB,Cuba,M,Bronze +Barcelona,1992,Judo,Judo,- 60 kg,"YOON, Hyun",Men,KOR,"Korea, South",M,Silver +Barcelona,1992,Judo,Judo,86 - 95kg (half-heavyweight),"STEVENS, Raymond",Men,GBR,United Kingdom,M,Silver +Barcelona,1992,Judo,Judo,71 - 78kg (half-middleweight),"DAMAISIN, Bertrand",Men,FRA,France,M,Bronze +Barcelona,1992,Judo,Judo,- 60 kg,"GUSEYNOV, Nazim",Men,EUN,Unified team,M,Gold +Barcelona,1992,Judo,Judo,56 - 61kg (half-middleweight),"PETROVA, Elena",Women,EUN,Unified team,W,Bronze +Barcelona,1992,Modern Pentathlon,Modern Pentath.,Individual competition,"ZENOVKA, Edouard",Men,EUN,Unified team,M,Bronze +Barcelona,1992,Modern Pentathlon,Modern Pentath.,Team competition,"TIBERTI, Gianluca",Men,ITA,Italy,M,Bronze +Barcelona,1992,Modern Pentathlon,Modern Pentath.,Team competition,"CZYZOWICZ, Maciej",Men,POL,Poland,M,Gold +Barcelona,1992,Modern Pentathlon,Modern Pentath.,Team competition,"MASSULLO, Carlo",Men,ITA,Italy,M,Bronze +Barcelona,1992,Modern Pentathlon,Modern Pentath.,Individual competition,"MIZSER, Attila",Men,HUN,Hungary,M,Silver +Barcelona,1992,Modern Pentathlon,Modern Pentath.,Team competition,"SKRZYPASZEK, Arkadiusz",Men,POL,Poland,M,Gold +Barcelona,1992,Modern Pentathlon,Modern Pentath.,Individual competition,"SKRZYPASZEK, Arkadiusz",Men,POL,Poland,M,Gold +Barcelona,1992,Modern Pentathlon,Modern Pentath.,Team competition,"ZENOVKA, Edouard",Men,EUN,Unified team,M,Silver +Barcelona,1992,Modern Pentathlon,Modern Pentath.,Team competition,"GOZDZIAK, Dariusz",Men,POL,Poland,M,Gold +Barcelona,1992,Modern Pentathlon,Modern Pentath.,Team competition,"STAROSTIN, Anatoli",Men,EUN,Unified team,M,Silver +Barcelona,1992,Modern Pentathlon,Modern Pentath.,Team competition,"SVATKOVSKIY, Dmitri",Men,EUN,Unified team,M,Silver +Barcelona,1992,Modern Pentathlon,Modern Pentath.,Team competition,"BOMPREZZI, Roberto",Men,ITA,Italy,M,Bronze +Barcelona,1992,Rowing,Rowing,quadruple sculls without coxswain (4x),"MUNDT, Kristina",Women,GER,Germany,W,Gold +Barcelona,1992,Rowing,Rowing,four without coxswain (4-),"JANSA, Milan",Men,SLO,Slovenia,M,Bronze +Barcelona,1992,Rowing,Rowing,quadruple sculls without coxswain (4x),"HAJEK, Andreas",Men,GER,Germany,M,Gold +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"BULIE, Iulia",Women,ROU,Romania,W,Silver +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"PYRITZ, Dana",Women,GER,Germany,W,Bronze +Barcelona,1992,Rowing,Rowing,four without coxswain (4-),"BOHRER, Thomas Robert",Men,USA,United States,M,Silver +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"CROSBY, Andrew",Men,CAN,Canada,M,Gold +Barcelona,1992,Rowing,Rowing,four-oared shell with coxswain (4-),"TALAPAN, Viorel",Men,ROU,Romania,M,Gold +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"HAACKER, Kathrin",Women,GER,Germany,W,Bronze +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"KLEIN, Manfred Willi",Men,GER,Germany,M,Bronze +Barcelona,1992,Rowing,Rowing,four-oared shell with coxswain (4-),"FINGER, Karsten",Men,GER,Germany,M,Silver +Barcelona,1992,Rowing,Rowing,coxless four (4-),"BARNES, Jennifer Kirsten",Women,CAN,Canada,W,Gold +Barcelona,1992,Rowing,Rowing,coxless pair (2-),"HÖLTZENBEIN, Peter",Men,GER,Germany,M,Silver +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"THOMPSON, Lesley Allison",Women,CAN,Canada,W,Gold +Barcelona,1992,Rowing,Rowing,single sculls (1x),"LANGE, Thomas",Men,GER,Germany,M,Gold +Barcelona,1992,Rowing,Rowing,double sculls (2x),"HAWKINS, Stephen Mark",Men,AUS,Australia,M,Gold +Barcelona,1992,Rowing,Rowing,four-oared shell with coxswain (4-),"REIHER, Hendrik",Men,GER,Germany,M,Silver +Barcelona,1992,Rowing,Rowing,pair without coxswain (2-),"SCHWERZMANN, Ingeburg",Women,GER,Germany,W,Silver +Barcelona,1992,Rowing,Rowing,single sculls (1x),"BRONIEWSKI, Kajetan",Men,POL,Poland,M,Bronze +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"ZEIDLER, Judith",Women,GER,Germany,W,Bronze +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"MARLAND, Robert Davies",Men,CAN,Canada,M,Gold +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"NECULAI, Viorica",Women,ROU,Romania,W,Silver +Barcelona,1992,Rowing,Rowing,four-oared shell with coxswain (4-),"STREICH, Jacek",Men,POL,Poland,M,Bronze +Barcelona,1992,Rowing,Rowing,pair-oared shell with coxswain (2+),"HERBERT, Garry Gerard Paul",Men,GBR,United Kingdom,M,Gold +Barcelona,1992,Rowing,Rowing,four without coxswain (4-),"KLEMENCIC, Janez",Men,SLO,Slovenia,M,Bronze +Barcelona,1992,Rowing,Rowing,coxless four (4-),"FULLER, Amy",Women,USA,United States,W,Silver +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"SNEP, Doina Liliana",Women,ROU,Romania,W,Silver +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"KIRCHHOFF, Detlef",Men,GER,Germany,M,Bronze +Barcelona,1992,Rowing,Rowing,double sculls (2x),"LIPA, Elisabeta",Women,ROU,Romania,W,Silver +Barcelona,1992,Rowing,Rowing,four without coxswain (4-),"MUJKIC, Sadik",Men,SLO,Slovenia,M,Bronze +Barcelona,1992,Rowing,Rowing,quadruple sculls without coxswain (4x),"VOLKERT, Stephan",Men,GER,Germany,M,Gold +Barcelona,1992,Rowing,Rowing,double sculls (2x),"ANTONIE, Peter",Men,AUS,Australia,M,Gold +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"MCBEAN, Marnie Elizabeth",Women,CAN,Canada,W,Gold +Barcelona,1992,Rowing,Rowing,four-oared shell with coxswain (4-),"LASICKI, Maciej",Men,POL,Poland,M,Bronze +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"WESSLING, Ansgar",Men,GER,Germany,M,Bronze +Barcelona,1992,Rowing,Rowing,single sculls (1x),"LAUMANN, Silken Suzette",Women,CAN,Canada,W,Bronze +Barcelona,1992,Rowing,Rowing,coxless pair (2-),"ZVEGELJ, Denis",Men,SLO,Slovenia,M,Bronze +Barcelona,1992,Rowing,Rowing,four-oared shell with coxswain (4-),"JANKOWSKI, Wojciech",Men,POL,Poland,M,Bronze +Barcelona,1992,Rowing,Rowing,double sculls (2x),"KÖPPEN, Kerstin",Women,GER,Germany,W,Gold +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"WALLACE, John William",Men,CAN,Canada,M,Gold +Barcelona,1992,Rowing,Rowing,quadruple sculls without coxswain (4x),"THORSEN, Rolf Bernt",Men,NOR,Norway,M,Silver +Barcelona,1992,Rowing,Rowing,quadruple sculls without coxswain (4x),"SOFFICI, Filippo",Men,ITA,Italy,M,Bronze +Barcelona,1992,Rowing,Rowing,four without coxswain (4-),"BURDEN, William Douglas",Men,USA,United States,M,Silver +Barcelona,1992,Rowing,Rowing,coxless four (4-),"TAYLOR, Brenda Susan",Women,CAN,Canada,W,Gold +Barcelona,1992,Rowing,Rowing,four-oared shell with coxswain (4-),"POPESCU, Dimitrie",Men,ROU,Romania,M,Gold +Barcelona,1992,Rowing,Rowing,quadruple sculls without coxswain (4x),"STEINBACH, Michael",Men,GER,Germany,M,Gold +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"VIZITIU, Ioan Iulian",Men,ROU,Romania,M,Silver +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"RICHTER, Frank Joerg",Men,GER,Germany,M,Bronze +Barcelona,1992,Rowing,Rowing,quadruple sculls without coxswain (4x),"SÄTERSDAL, Per Albert",Men,NOR,Norway,M,Silver +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"MONROE, Jessica",Women,CAN,Canada,W,Gold +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"HEDDLE, Kathleen",Women,CAN,Canada,W,Gold +Barcelona,1992,Rowing,Rowing,four-oared shell with coxswain (4-),"CIESLAK, Michal",Men,POL,Poland,M,Bronze +Barcelona,1992,Rowing,Rowing,pair-oared shell with coxswain (2+),"POPESCU, Dimitrie",Men,ROU,Romania,M,Bronze +Barcelona,1992,Rowing,Rowing,quadruple sculls without coxswain (4x),"BJÖNNESS, Lars",Men,NOR,Norway,M,Silver +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"STREPPELHOFF, Thorsten",Men,GER,Germany,M,Bronze +Barcelona,1992,Rowing,Rowing,quadruple sculls without coxswain (4x),"CORONA, Alessandro",Men,ITA,Italy,M,Bronze +Barcelona,1992,Rowing,Rowing,pair-oared shell with coxswain (2+),"SEARLE, Gregory Mark Pascol",Men,GBR,United Kingdom,M,Gold +Barcelona,1992,Rowing,Rowing,double sculls (2x),"ZERBST, Christoph",Men,AUT,Austria,M,Silver +Barcelona,1992,Rowing,Rowing,coxless pair (2-),"ETTINGSHAUSEN, Colin",Men,GER,Germany,M,Silver +Barcelona,1992,Rowing,Rowing,double sculls (2x),"JONKE, Arnold",Men,AUT,Austria,M,Silver +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"NASTASE, Vasile Dorel",Men,ROU,Romania,M,Silver +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"BAAR, Roland",Men,GER,Germany,M,Bronze +Barcelona,1992,Rowing,Rowing,four without coxswain (4-),"GREEN, Nicholas",Men,AUS,Australia,M,Gold +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"RASCHER, Michael G.",Men,CAN,Canada,M,Gold +Barcelona,1992,Rowing,Rowing,single sculls (1x),"BREDAEL, Annelies",Women,BEL,Belgium,W,Silver +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"MASTACAN, Vasile Ionel",Men,ROU,Romania,M,Silver +Barcelona,1992,Rowing,Rowing,four without coxswain (4-),"MANNING, Patrick Francis Jr.",Men,USA,United States,M,Silver +Barcelona,1992,Rowing,Rowing,four-oared shell with coxswain (4-),"KELLNER, Uwe Jörg",Men,GER,Germany,M,Silver +Barcelona,1992,Rowing,Rowing,coxless pair (2-),"COP, Iztok",Men,SLO,Slovenia,M,Bronze +Barcelona,1992,Rowing,Rowing,four without coxswain (4-),"TOMKINS, James",Men,AUS,Australia,M,Gold +Barcelona,1992,Rowing,Rowing,four without coxswain (4-),"MIRJANIC, Saso",Men,SLO,Slovenia,M,Bronze +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"FORGERON, Michael Joseph",Men,CAN,Canada,M,Gold +Barcelona,1992,Rowing,Rowing,single sculls (1x),"LIPA, Elisabeta",Women,ROU,Romania,W,Gold +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"MARIN, Claudiu Gabriel",Men,ROU,Romania,M,Silver +Barcelona,1992,Rowing,Rowing,pair-oared shell with coxswain (2+),"DI CAPUA, Giuseppe",Men,ITA,Italy,M,Silver +Barcelona,1992,Rowing,Rowing,pair without coxswain (2-),"WERREMEIER, Stefani",Women,GER,Germany,W,Silver +Barcelona,1992,Rowing,Rowing,quadruple sculls without coxswain (4x),"MÜLLER, Kerstin",Women,GER,Germany,W,Gold +Barcelona,1992,Rowing,Rowing,quadruple sculls without coxswain (4x),"FARINA, Gianluca",Men,ITA,Italy,M,Bronze +Barcelona,1992,Rowing,Rowing,quadruple sculls without coxswain (4x),"BURCICA, Constanta",Women,ROU,Romania,W,Silver +Barcelona,1992,Rowing,Rowing,four-oared shell with coxswain (4-),"RUICAN, Iulica",Men,ROU,Romania,M,Gold +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"EICHHOLZ, Armin",Men,GER,Germany,M,Bronze +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"TALAPAN, Viorel",Men,ROU,Romania,M,Silver +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"TAYLOR, Brenda Susan",Women,CAN,Canada,W,Gold +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"DELEHANTY, Megan Catherine",Women,CAN,Canada,W,Gold +Barcelona,1992,Rowing,Rowing,single sculls (1x),"CHALUPA, Vaclav",Men,TCH,Czechoslovakia,M,Silver +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"PORTER, Derek",Men,CAN,Canada,M,Gold +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"BARNES, Jennifer Kirsten",Women,CAN,Canada,W,Gold +Barcelona,1992,Rowing,Rowing,quadruple sculls without coxswain (4x),"SCHMIDT, Sybille",Women,GER,Germany,W,Gold +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"DOBRE, Danut",Men,ROU,Romania,M,Silver +Barcelona,1992,Rowing,Rowing,coxless four (4-),"WORTHINGTON, Kay Frances",Women,CAN,Canada,W,Gold +Barcelona,1992,Rowing,Rowing,quadruple sculls without coxswain (4x),"WILLMS, Andre",Men,GER,Germany,M,Gold +Barcelona,1992,Rowing,Rowing,pair-oared shell with coxswain (2+),"ABBAGNALE, Giuseppe",Men,ITA,Italy,M,Silver +Barcelona,1992,Rowing,Rowing,quadruple sculls without coxswain (4x),"ZELIKOVITCH, Antonina",Women,EUN,Unified team,W,Bronze +Barcelona,1992,Rowing,Rowing,quadruple sculls without coxswain (4x),"KARSTEN, Ekaterina",Women,EUN,Unified team,W,Bronze +Barcelona,1992,Rowing,Rowing,coxless four (4-),"SIECH, Birte",Women,GER,Germany,W,Bronze +Barcelona,1992,Rowing,Rowing,double sculls (2x),"LU, Huali",Women,CHN,China,W,Bronze +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"GEORGESCU, Elena",Women,ROU,Romania,W,Silver +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"OLTEANU, Ioana",Women,ROU,Romania,W,Silver +Barcelona,1992,Rowing,Rowing,pair without coxswain (2-),"HEDDLE, Kathleen",Women,CAN,Canada,W,Gold +Barcelona,1992,Rowing,Rowing,quadruple sculls without coxswain (4x),"PETER, Birgit",Women,GER,Germany,W,Gold +Barcelona,1992,Rowing,Rowing,coxless four (4-),"ECKERT, Cynthia L.",Women,USA,United States,W,Silver +Barcelona,1992,Rowing,Rowing,pair-oared shell with coxswain (2+),"RADUCANU, Dumitru",Men,ROU,Romania,M,Bronze +Barcelona,1992,Rowing,Rowing,double sculls (2x),"BORON, Kathrin",Women,GER,Germany,W,Gold +Barcelona,1992,Rowing,Rowing,four-oared shell with coxswain (4-),"TAGA, Nicolaie",Men,ROU,Romania,M,Gold +Barcelona,1992,Rowing,Rowing,pair without coxswain (2-),"SEATON, Anna B.",Women,USA,United States,W,Bronze +Barcelona,1992,Rowing,Rowing,quadruple sculls without coxswain (4x),"IGNAT, Doina",Women,ROU,Romania,W,Silver +Barcelona,1992,Rowing,Rowing,pair without coxswain (2-),"MAXWELL PIERSON, Stephanie",Women,USA,United States,W,Bronze +Barcelona,1992,Rowing,Rowing,quadruple sculls without coxswain (4x),"COCHELEA, Veronica",Women,ROU,Romania,W,Silver +Barcelona,1992,Rowing,Rowing,quadruple sculls without coxswain (4x),"UNDSET, Kjetil",Men,NOR,Norway,M,Silver +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"LEPADATU, Victoria",Women,ROU,Romania,W,Silver +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"CRAWFORD, Shannon",Women,CAN,Canada,W,Gold +Barcelona,1992,Rowing,Rowing,four without coxswain (4-),"MCLAUGHLIN, Jeffrey Dean",Men,USA,United States,M,Silver +Barcelona,1992,Rowing,Rowing,four without coxswain (4-),"COOPER, Andrew",Men,AUS,Australia,M,Gold +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"DÖRDELMANN, Sylvia",Women,GER,Germany,W,Bronze +Barcelona,1992,Rowing,Rowing,coxless pair (2-),"PINSENT, Matthew",Men,GBR,United Kingdom,M,Gold +Barcelona,1992,Rowing,Rowing,four-oared shell with coxswain (4-),"BRUDEL, Ralf",Men,GER,Germany,M,Silver +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"PAUL, Terence Michael",Men,CAN,Canada,M,Gold +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"PADURARIU, Maria",Women,ROU,Romania,W,Silver +Barcelona,1992,Rowing,Rowing,double sculls (2x),"ZWOLLE, Hendrik Jan",Men,NED,Netherlands,M,Bronze +Barcelona,1992,Rowing,Rowing,pair-oared shell with coxswain (2+),"TAGA, Nicolaie",Men,ROU,Romania,M,Bronze +Barcelona,1992,Rowing,Rowing,coxless four (4-),"FRANK, Antje",Women,GER,Germany,W,Bronze +Barcelona,1992,Rowing,Rowing,coxless four (4-),"DONOHOE, Shelagh",Women,USA,United States,W,Silver +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"HARZENDORF, Christiane",Women,GER,Germany,W,Bronze +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"PETERSMANN, Cerstin",Women,GER,Germany,W,Bronze +Barcelona,1992,Rowing,Rowing,coxless pair (2-),"REDGRAVE, Steven",Men,GBR,United Kingdom,M,Gold +Barcelona,1992,Rowing,Rowing,four without coxswain (4-),"MCKAY, Mike",Men,AUS,Australia,M,Gold +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"GHEORGHE, Marin",Men,ROU,Romania,M,Silver +Barcelona,1992,Rowing,Rowing,quadruple sculls without coxswain (4x),"KHLOPTSEVA, Elena",Women,EUN,Unified team,W,Bronze +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"BAZON, Adriana",Women,ROU,Romania,W,Silver +Barcelona,1992,Rowing,Rowing,pair-oared shell with coxswain (2+),"SEARLE, Jonathan William",Men,GBR,United Kingdom,M,Gold +Barcelona,1992,Rowing,Rowing,four-oared shell with coxswain (4-),"TOMIAK, Tomasz",Men,POL,Poland,M,Bronze +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"SCHELL, Ute",Women,GER,Germany,W,Bronze +Barcelona,1992,Rowing,Rowing,double sculls (2x),"GU, Xiaoli",Women,CHN,China,W,Bronze +Barcelona,1992,Rowing,Rowing,coxless four (4-),"HOHN, Annette",Women,GER,Germany,W,Bronze +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"SENNEWALD, Hans",Men,GER,Germany,M,Bronze +Barcelona,1992,Rowing,Rowing,four-oared shell with coxswain (4-),"PETERS, Thoralf",Men,GER,Germany,M,Silver +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"WORTHINGTON, Kay Frances",Women,CAN,Canada,W,Gold +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"ROBERTSON, Bruce",Men,CAN,Canada,M,Gold +Barcelona,1992,Rowing,Rowing,quadruple sculls without coxswain (4x),"GALTAROSSA, Rossano",Men,ITA,Italy,M,Bronze +Barcelona,1992,Rowing,Rowing,coxless four (4-),"MEHL, Gabriele",Women,GER,Germany,W,Bronze +Barcelona,1992,Rowing,Rowing,quadruple sculls without coxswain (4x),"USTYUZHANINA, Tatiana",Women,EUN,Unified team,W,Bronze +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"RUICAN, Iulica",Men,ROU,Romania,M,Silver +Barcelona,1992,Rowing,Rowing,double sculls (2x),"COCHELEA, Veronica",Women,ROU,Romania,W,Silver +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"STRAUCH, Annegret",Women,GER,Germany,W,Bronze +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"BARBER, Darren",Men,CAN,Canada,M,Gold +Barcelona,1992,Rowing,Rowing,pair-oared shell with coxswain (2+),"ABBAGNALE, Carmine",Men,ITA,Italy,M,Silver +Barcelona,1992,Rowing,Rowing,four-oared shell with coxswain (4-),"RADUCANU, Dumitru",Men,ROU,Romania,M,Gold +Barcelona,1992,Rowing,Rowing,coxless four (4-),"MONROE, Jessica",Women,CAN,Canada,W,Gold +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"ROBU, Valentin",Men,ROU,Romania,M,Silver +Barcelona,1992,Rowing,Rowing,quadruple sculls without coxswain (4x),"DOBRE, Anisoara",Women,ROU,Romania,W,Silver +Barcelona,1992,Rowing,Rowing,coxless four (4-),"FEENEY, Carol",Women,USA,United States,W,Silver +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"NEUNAST, Daniela",Women,GER,Germany,W,Bronze +Barcelona,1992,Rowing,Rowing,pair without coxswain (2-),"MCBEAN, Marnie Elizabeth",Women,CAN,Canada,W,Gold +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"RABE, Bahne",Men,GER,Germany,M,Bronze +Barcelona,1992,Rowing,Rowing,eight with coxswain (8+),"ROBU, Doina",Women,ROU,Romania,W,Silver +Barcelona,1992,Rowing,Rowing,double sculls (2x),"RIENKS, Nico",Men,NED,Netherlands,M,Bronze +Barcelona,1992,Sailing,Sailing,flying dutchman,"BOJSEN-MOELLER, Jens",Men,DEN,Denmark,X,Bronze +Barcelona,1992,Sailing,Sailing,fleet/match race keelboat open (Soling),"SMITH, Lawrie",Men,GBR,United Kingdom,X,Bronze +Barcelona,1992,Sailing,Sailing,470 - Two Person Dinghy,"BURNHAM, Kevin",Men,USA,United States,M,Silver +Barcelona,1992,Sailing,Sailing,single-handed dinghy (Finn),"VAN DER PLOEG, Jose",Men,ESP,Spain,M,Gold +Barcelona,1992,Sailing,Sailing,board (lechner),"ZHANG, Xiaodong",Women,CHN,China,W,Silver +Barcelona,1992,Sailing,Sailing,fleet/match race keelboat open (Soling),"SEIER, Jesper",Men,DEN,Denmark,X,Gold +Barcelona,1992,Sailing,Sailing,fleet/match race keelboat open (Soling),"MAHANEY, Kevin",Men,USA,United States,X,Silver +Barcelona,1992,Sailing,Sailing,470 - Two Person Dinghy,"REESER, Morgan",Men,USA,United States,M,Silver +Barcelona,1992,Sailing,Sailing,two-person keelboat open (Star),"MACDONALD, Ross David",Men,CAN,Canada,X,Bronze +Barcelona,1992,Sailing,Sailing,single-handed dinghy (Europe),"TROTMAN, Julia",Women,USA,United States,W,Bronze +Barcelona,1992,Sailing,Sailing,two-person keelboat open (Star),"REYNOLDS, Mark Jeffrey",Men,USA,United States,X,Gold +Barcelona,1992,Sailing,Sailing,board (lechner),"KLEPPICH, Lars Detlef",Men,AUS,Australia,M,Bronze +Barcelona,1992,Sailing,Sailing,fleet/match race keelboat open (Soling),"CRUIKSHANK, Robert Gordon",Men,GBR,United Kingdom,X,Bronze +Barcelona,1992,Sailing,Sailing,fleet/match race keelboat open (Soling),"SECHER, Steen Klaaborg",Men,DEN,Denmark,X,Gold +Barcelona,1992,Sailing,Sailing,fleet/match race keelboat open (Soling),"BRADY, James",Men,USA,United States,X,Silver +Barcelona,1992,Sailing,Sailing,470 - Two Person Dinghy,"GUERRA CABRERA, Patricia",Women,ESP,Spain,W,Gold +Barcelona,1992,Sailing,Sailing,fleet/match race keelboat open (Soling),"KERN, Douglas",Men,USA,United States,X,Silver +Barcelona,1992,Sailing,Sailing,flying dutchman,"DORESTE, Luis",Men,ESP,Spain,X,Gold +Barcelona,1992,Sailing,Sailing,two-person keelboat open (Star),"DAVIS, Roderick Hopkins",Men,NZL,New Zealand,X,Silver +Barcelona,1992,Sailing,Sailing,two-person keelboat open (Star),"JESPERSEN, Eric Albert",Men,CAN,Canada,X,Bronze +Barcelona,1992,Sailing,Sailing,470 - Two Person Dinghy,"ZABELL, Theresa",Women,ESP,Spain,W,Gold +Barcelona,1992,Sailing,Sailing,Tornado - Multihull,"SMYTH, Randy",Men,USA,United States,X,Silver +Barcelona,1992,Sailing,Sailing,470 - Two Person Dinghy,"ISLER, Jennifer",Women,USA,United States,W,Bronze +Barcelona,1992,Sailing,Sailing,Tornado - Multihull,"HENARD, Nicolas",Men,FRA,France,X,Gold +Barcelona,1992,Sailing,Sailing,flying dutchman,"FOERSTER, Paul",Men,USA,United States,X,Silver +Barcelona,1992,Sailing,Sailing,Tornado - Multihull,"FORBES, John",Men,AUS,Australia,X,Bronze +Barcelona,1992,Sailing,Sailing,single-handed dinghy (Europe),"ANDERSEN, Linda",Women,NOR,Norway,W,Gold +Barcelona,1992,Sailing,Sailing,two-person keelboat open (Star),"COWIE, Donald John",Men,NZL,New Zealand,X,Silver +Barcelona,1992,Sailing,Sailing,two-person keelboat open (Star),"HAENEL, Harold",Men,USA,United States,X,Gold +Barcelona,1992,Sailing,Sailing,board (lechner),"DAVID, Franck",Men,FRA,France,M,Gold +Barcelona,1992,Sailing,Sailing,470 - Two Person Dinghy,"SHEARER, Janet Lee",Women,NZL,New Zealand,W,Silver +Barcelona,1992,Sailing,Sailing,Tornado - Multihull,"NOTARY, Keith",Men,USA,United States,X,Silver +Barcelona,1992,Sailing,Sailing,flying dutchman,"BOURDOW, Stephen",Men,USA,United States,X,Silver +Barcelona,1992,Sailing,Sailing,board (lechner),"GEBHARDT, Mike",Men,USA,United States,M,Silver +Barcelona,1992,Sailing,Sailing,470 - Two Person Dinghy,"EGNOT, Leslie Jean",Women,NZL,New Zealand,W,Silver +Barcelona,1992,Sailing,Sailing,single-handed dinghy (Europe),"VIA DUFRESNE, Natalia",Women,ESP,Spain,W,Silver +Barcelona,1992,Sailing,Sailing,470 - Two Person Dinghy,"SANCHEZ LUNA, Francisco",Men,ESP,Spain,M,Gold +Barcelona,1992,Sailing,Sailing,470 - Two Person Dinghy,"TONISTE, Tonu",Men,EST,Estonia,M,Bronze +Barcelona,1992,Sailing,Sailing,flying dutchman,"MANRIQUE, Domingo",Men,ESP,Spain,X,Gold +Barcelona,1992,Sailing,Sailing,board (lechner),"DE VRIES, Dorien",Women,NED,Netherlands,W,Bronze +Barcelona,1992,Sailing,Sailing,470 - Two Person Dinghy,"TONISTE, Toomas",Men,EST,Estonia,M,Bronze +Barcelona,1992,Sailing,Sailing,fleet/match race keelboat open (Soling),"STEWART, Ossie",Men,GBR,United Kingdom,X,Bronze +Barcelona,1992,Sailing,Sailing,single-handed dinghy (Finn),"LEDBETTER, Brian Richard",Men,USA,United States,M,Silver +Barcelona,1992,Sailing,Sailing,flying dutchman,"BOJSEN MOLLER, Jorgen",Men,DEN,Denmark,X,Bronze +Barcelona,1992,Sailing,Sailing,single-handed dinghy (Finn),"MONK, Craig John",Men,NZL,New Zealand,M,Bronze +Barcelona,1992,Sailing,Sailing,470 - Two Person Dinghy,"CALAFAT, Jordi",Men,ESP,Spain,M,Gold +Barcelona,1992,Sailing,Sailing,Tornado - Multihull,"LODAY, Yves",Men,FRA,France,X,Gold +Barcelona,1992,Sailing,Sailing,Tornado - Multihull,"BOOTH, Mitch",Men,AUS,Australia,X,Bronze +Barcelona,1992,Sailing,Sailing,fleet/match race keelboat open (Soling),"BANK, Jesper",Men,DEN,Denmark,X,Gold +Barcelona,1992,Sailing,Sailing,board (lechner),"KENDALL, Barbara",Women,NZL,New Zealand,W,Gold +Barcelona,1992,Sailing,Sailing,470 - Two Person Dinghy,"HEALY, Pamela",Women,USA,United States,W,Bronze +Barcelona,1992,Shooting,Shooting,25m rapid fire pistol (60 shots),"KUZMINS, Afanasijs",Men,LAT,Latvia,M,Silver +Barcelona,1992,Shooting,Shooting,trap (125 targets),"HRDLICKA, Petr",Men,TCH,Czechoslovakia,X,Gold +Barcelona,1992,Shooting,Shooting,10m air rifle (40 shots),"YEO, Kab-Soon",Women,KOR,"Korea, South",W,Gold +Barcelona,1992,Shooting,Shooting,50m rifle prone (60 shots),"LEE, Eun-Chul",Men,KOR,"Korea, South",M,Gold +Barcelona,1992,Shooting,Shooting,skeet (125 targets),"ZHANG, Shan",Women,CHN,China,X,Gold +Barcelona,1992,Shooting,Shooting,50m rifle 3 positions (3x20 shots),"MATOVA, Nonka Detcheva",Women,BUL,Bulgaria,W,Silver +Barcelona,1992,Shooting,Shooting,trap (125 targets),"VENTURINI, Marco",Men,ITA,Italy,X,Bronze +Barcelona,1992,Shooting,Shooting,10m air rifle (60 shots),"BADIOU, Franck",Men,FRA,France,M,Silver +Barcelona,1992,Shooting,Shooting,50m rifle prone (60 shots),"STENVAAG, Harald",Men,NOR,Norway,M,Silver +Barcelona,1992,Shooting,Shooting,10m air rifle (40 shots),"BINDER, Aranka",Women,IOP,Independent Olympic Participants (1992),W,Bronze +Barcelona,1992,Shooting,Shooting,25m rapid fire pistol (60 shots),"SCHUMANN, Ralf",Men,GER,Germany,M,Gold +Barcelona,1992,Shooting,Shooting,skeet (125 targets),"ROSSETTI, Bruno Mario",Men,ITA,Italy,X,Bronze +Barcelona,1992,Shooting,Shooting,50m rifle 3 positions (3x40 shots),"FOTH, Robert James",Men,USA,United States,M,Silver +Barcelona,1992,Shooting,Shooting,50m running target (30+30 shots),"RACANSKY, Lubos",Men,TCH,Czechoslovakia,M,Bronze +Barcelona,1992,Shooting,Shooting,50m rifle 3 positions (3x20 shots),"MEILI, Launi Kay",Women,USA,United States,W,Gold +Barcelona,1992,Shooting,Shooting,10m air pistol (60 shots),"PYZHYANOV, Serguei",Men,EUN,Unified team,M,Silver +Barcelona,1992,Shooting,Shooting,50m rifle prone (60 shots),"PLETIKOSIC, Stevan",Men,IOP,Independent Olympic Participants (1992),M,Bronze +Barcelona,1992,Shooting,Shooting,25m rapid fire pistol (60 shots),"VOKHMIANINE, Vladimir",Men,EUN,Unified team,M,Bronze +Barcelona,1992,Shooting,Shooting,10m air pistol (40 shots),"GROZDEVA, Maria",Women,BUL,Bulgaria,W,Bronze +Barcelona,1992,Shooting,Shooting,25m pistol (30+30 shots),"LOGVINENKO, Marina",Women,EUN,Unified team,W,Gold +Barcelona,1992,Shooting,Shooting,25m pistol (30+30 shots),"LI, Duihong",Women,CHN,China,W,Silver +Barcelona,1992,Shooting,Shooting,50m pistol (60 shots),"SKANÄKER, Ragnar",Men,SWE,Sweden,M,Bronze +Barcelona,1992,Shooting,Shooting,50m rifle 3 positions (3x40 shots),"PETIKYAN, Gratchia Gratsian Hrachya",Men,EUN,Unified team,M,Gold +Barcelona,1992,Shooting,Shooting,25m pistol (30+30 shots),"MUNKHBAYAR, Dorzhsuren",Women,MGL,Mongolia,W,Bronze +Barcelona,1992,Shooting,Shooting,50m rifle 3 positions (3x40 shots),"KOBA, Ryohei",Men,JPN,Japan,M,Bronze +Barcelona,1992,Shooting,Shooting,10m air rifle (60 shots),"RIEDERER, Johann",Men,GER,Germany,M,Bronze +Barcelona,1992,Shooting,Shooting,50m running target (30+30 shots),"JAKOSITS, Michael",Men,GER,Germany,M,Gold +Barcelona,1992,Shooting,Shooting,50m pistol (60 shots),"LOUKACHIK, Konstantine",Men,EUN,Unified team,M,Gold +Barcelona,1992,Shooting,Shooting,50m rifle 3 positions (3x20 shots),"KSIAZKIEWICZ, Malgorzata",Women,POL,Poland,W,Bronze +Barcelona,1992,Shooting,Shooting,50m running target (30+30 shots),"ASRABAEV, Anatoli",Men,EUN,Unified team,M,Silver +Barcelona,1992,Shooting,Shooting,10m air pistol (60 shots),"BABII, Sorin",Men,ROU,Romania,M,Bronze +Barcelona,1992,Shooting,Shooting,skeet (125 targets),"GIHA, Juan Jorge Yarve Jr.",Men,PER,Peru,X,Silver +Barcelona,1992,Shooting,Shooting,10m air rifle (40 shots),"LETCHEVA, Vessela Nikolaeva",Women,BUL,Bulgaria,W,Silver +Barcelona,1992,Shooting,Shooting,10m air pistol (40 shots),"LOGVINENKO, Marina",Women,EUN,Unified team,W,Gold +Barcelona,1992,Shooting,Shooting,10m air pistol (40 shots),"SEKARIC, Jasna",Women,IOP,Independent Olympic Participants (1992),W,Silver +Barcelona,1992,Shooting,Shooting,10m air pistol (60 shots),"WANG, Yifu",Men,CHN,China,M,Gold +Barcelona,1992,Shooting,Shooting,50m pistol (60 shots),"WANG, Yifu",Men,CHN,China,M,Silver +Barcelona,1992,Shooting,Shooting,10m air rifle (60 shots),"FEDKINE, Iouri",Men,EUN,Unified team,M,Gold +Barcelona,1992,Shooting,Shooting,trap (125 targets),"WATANABE, Kazumi",Men,JPN,Japan,X,Silver +Barcelona,1992,Table Tennis,Table Tennis,singles,"GATIEN, Jean-Philippe",Men,FRA,France,M,Silver +Barcelona,1992,Table Tennis,Table Tennis,singles,"KIM, Taek Soo",Men,KOR,"Korea, South",M,Bronze +Barcelona,1992,Table Tennis,Table Tennis,doubles,"HYUN, Jung Hwa",Women,KOR,"Korea, South",W,Bronze +Barcelona,1992,Table Tennis,Table Tennis,doubles,"YU, Sun Bok",Women,PRK,"Korea, North",W,Bronze +Barcelona,1992,Table Tennis,Table Tennis,doubles,"KIM, Taek Soo",Men,KOR,"Korea, South",M,Bronze +Barcelona,1992,Table Tennis,Table Tennis,doubles,"ROSSKOPF, Jörg",Men,GER,Germany,M,Silver +Barcelona,1992,Table Tennis,Table Tennis,doubles,"QIAO, Hong",Women,CHN,China,W,Gold +Barcelona,1992,Table Tennis,Table Tennis,singles,"DENG, Yaping",Women,CHN,China,W,Gold +Barcelona,1992,Table Tennis,Table Tennis,doubles,"FETZNER, Steffen",Men,GER,Germany,M,Silver +Barcelona,1992,Table Tennis,Table Tennis,doubles,"HONG, Cha Ok",Women,KOR,"Korea, South",W,Bronze +Barcelona,1992,Table Tennis,Table Tennis,doubles,"LEE, Chul Seung",Men,KOR,"Korea, South",M,Bronze +Barcelona,1992,Table Tennis,Table Tennis,doubles,"WANG, Tao",Men,CHN,China,M,Gold +Barcelona,1992,Table Tennis,Table Tennis,singles,"QIAO, Hong",Women,CHN,China,W,Silver +Barcelona,1992,Table Tennis,Table Tennis,doubles,"DENG, Yaping",Women,CHN,China,W,Gold +Barcelona,1992,Table Tennis,Table Tennis,doubles,"KANG, Hee Chan",Men,KOR,"Korea, South",M,Bronze +Barcelona,1992,Table Tennis,Table Tennis,doubles,"LU, Lin",Men,CHN,China,M,Gold +Barcelona,1992,Table Tennis,Table Tennis,doubles,"CHEN, Zihe",Women,CHN,China,W,Silver +Barcelona,1992,Table Tennis,Table Tennis,singles,"LI, Bun Hui",Women,PRK,"Korea, North",W,Bronze +Barcelona,1992,Table Tennis,Table Tennis,singles,"WALDNER, Jan-Ove",Men,SWE,Sweden,M,Gold +Barcelona,1992,Table Tennis,Table Tennis,doubles,"YOO, Nam-Kyu",Men,KOR,"Korea, South",M,Bronze +Barcelona,1992,Table Tennis,Table Tennis,doubles,"GAO, Jun",Women,CHN,China,W,Silver +Barcelona,1992,Table Tennis,Table Tennis,doubles,"LI, Bun Hui",Women,PRK,"Korea, North",W,Bronze +Barcelona,1992,Table Tennis,Table Tennis,singles,"MA, Wenge",Men,CHN,China,M,Bronze +Barcelona,1992,Table Tennis,Table Tennis,singles,"HYUN, Jung Hwa",Women,KOR,"Korea, South",W,Bronze +Barcelona,1992,Tennis,Tennis,singles,"CHERKASOV, Andrei",Men,EUN,Unified team,M,Bronze +Barcelona,1992,Tennis,Tennis,doubles,"FRANA, Javier",Men,ARG,Argentina,M,Bronze +Barcelona,1992,Tennis,Tennis,doubles,"FERNANDEZ, Gigi",Women,USA,United States,W,Gold +Barcelona,1992,Tennis,Tennis,singles,"CAPRIATI, Jennifer",Women,USA,United States,W,Gold +Barcelona,1992,Tennis,Tennis,singles,"ARRESE, Jordi",Men,ESP,Spain,M,Silver +Barcelona,1992,Tennis,Tennis,doubles,"FERREIRA, Wayne",Men,RSA,South Africa,M,Silver +Barcelona,1992,Tennis,Tennis,singles,"GRAF, Steffi",Women,GER,Germany,W,Silver +Barcelona,1992,Tennis,Tennis,doubles,"FERNANDEZ, Mary Joe",Women,USA,United States,W,Gold +Barcelona,1992,Tennis,Tennis,doubles,"MCQUILLAN, Rachel Jane",Women,AUS,Australia,W,Bronze +Barcelona,1992,Tennis,Tennis,singles,"ROSSET, Marc",Men,SUI,Switzerland,M,Gold +Barcelona,1992,Tennis,Tennis,doubles,"SANCHEZ-VICARIO, Arantxa",Women,ESP,Spain,W,Silver +Barcelona,1992,Tennis,Tennis,doubles,"MINIUSSI, Christian Carlos",Men,ARG,Argentina,M,Bronze +Barcelona,1992,Tennis,Tennis,doubles,"BRADTKE, Nicole Anne Louise",Women,AUS,Australia,W,Bronze +Barcelona,1992,Tennis,Tennis,singles,"IVANISEVIC, Goran",Men,CRO,Croatia,M,Bronze +Barcelona,1992,Tennis,Tennis,doubles,"PRPIC, Goran",Men,CRO,Croatia,M,Bronze +Barcelona,1992,Tennis,Tennis,doubles,"NORVAL, Piet",Men,RSA,South Africa,M,Silver +Barcelona,1992,Tennis,Tennis,singles,"FERNANDEZ, Mary Joe",Women,USA,United States,W,Bronze +Barcelona,1992,Tennis,Tennis,doubles,"STICH, Michael",Men,GER,Germany,M,Gold +Barcelona,1992,Tennis,Tennis,singles,"SANCHEZ-VICARIO, Arantxa",Women,ESP,Spain,W,Bronze +Barcelona,1992,Tennis,Tennis,doubles,"MESKHI, Leila",Women,EUN,Unified team,W,Bronze +Barcelona,1992,Tennis,Tennis,doubles,"IVANISEVIC, Goran",Men,CRO,Croatia,M,Bronze +Barcelona,1992,Tennis,Tennis,doubles,"BECKER, Boris Franz",Men,GER,Germany,M,Gold +Barcelona,1992,Tennis,Tennis,doubles,"MARTINEZ, Conchita",Women,ESP,Spain,W,Silver +Barcelona,1992,Tennis,Tennis,doubles,"ZVEREVA, Natalya",Women,EUN,Unified team,W,Bronze +Barcelona,1992,Volleyball,Volleyball,volleyball,"GREENBAUM, Daniel Robert",Men,USA,United States,M,Bronze +Barcelona,1992,Volleyball,Volleyball,volleyball,"SATO, Eric",Men,USA,United States,M,Bronze +Barcelona,1992,Volleyball,Volleyball,volleyball,"NEGRAO, Marcelo",Men,BRA,Brazil,M,Gold +Barcelona,1992,Volleyball,Volleyball,volleyball,"ODEN, Elaina Joyce",Women,USA,United States,W,Bronze +Barcelona,1992,Volleyball,Volleyball,volleyball,"KEMNER, Caren Marie Alexis",Women,USA,United States,W,Bronze +Barcelona,1992,Volleyball,Volleyball,volleyball,"SELINGER, Avital",Men,NED,Netherlands,M,Silver +Barcelona,1992,Volleyball,Volleyball,volleyball,"LATAMBLET DAUDINOT, Norka",Women,CUB,Cuba,W,Gold +Barcelona,1992,Volleyball,Volleyball,volleyball,"FORTUNE, Scott Thomas",Men,USA,United States,M,Bronze +Barcelona,1992,Volleyball,Volleyball,volleyball,"LAWANSON, Ruth Modupe",Women,USA,United States,W,Bronze +Barcelona,1992,Volleyball,Volleyball,volleyball,"MOROZOVA, Natalia",Women,EUN,Unified team,W,Silver +Barcelona,1992,Volleyball,Volleyball,volleyball,"OLIVEIRA, Talmo",Men,BRA,Brazil,M,Gold +Barcelona,1992,Volleyball,Volleyball,volleyball,"HELD, Henk-Jan",Men,NED,Netherlands,M,Silver +Barcelona,1992,Volleyball,Volleyball,volleyball,"IZQUIERDO, Lilia",Women,CUB,Cuba,W,Gold +Barcelona,1992,Volleyball,Volleyball,volleyball,"BRICENO, Carlos Martin",Men,USA,United States,M,Bronze +Barcelona,1992,Volleyball,Volleyball,volleyball,"STORK, Jeffrey Malcolm",Men,USA,United States,M,Bronze +Barcelona,1992,Volleyball,Volleyball,volleyball,"FERREIRA, Andre Felippe",Men,BRA,Brazil,M,Gold +Barcelona,1992,Volleyball,Volleyball,volleyball,"MENCHOVA, Tatiana",Women,EUN,Unified team,W,Silver +Barcelona,1992,Volleyball,Volleyball,volleyball,"BENNE, Edwin",Men,NED,Netherlands,M,Silver +Barcelona,1992,Volleyball,Volleyball,volleyball,"SMIRNOVA, Irina",Women,EUN,Unified team,W,Silver +Barcelona,1992,Volleyball,Volleyball,volleyball,"KORITOVA, Svetlana",Women,EUN,Unified team,W,Silver +Barcelona,1992,Volleyball,Volleyball,volleyball,"BLANGE, Peter",Men,NED,Netherlands,M,Silver +Barcelona,1992,Volleyball,Volleyball,volleyball,"BOUDRIE, Ronald",Men,NED,Netherlands,M,Silver +Barcelona,1992,Volleyball,Volleyball,volleyball,"CARVAJAL, Magaly Esther",Women,CUB,Cuba,W,Gold +Barcelona,1992,Volleyball,Volleyball,volleyball,"IVIE, Bryan Eric",Men,USA,United States,M,Bronze +Barcelona,1992,Volleyball,Volleyball,volleyball,"BELL, Regla Maritza",Women,CUB,Cuba,W,Gold +Barcelona,1992,Volleyball,Volleyball,volleyball,"HILLIARD, Brent William",Men,USA,United States,M,Bronze +Barcelona,1992,Volleyball,Volleyball,volleyball,"CTVRTLIK, Robert Jan",Men,USA,United States,M,Bronze +Barcelona,1992,Volleyball,Volleyball,volleyball,"WILLIAMS, Tonya",Women,USA,United States,W,Bronze +Barcelona,1992,Volleyball,Volleyball,volleyball,"POSTHUMA, Jan",Men,NED,Netherlands,M,Silver +Barcelona,1992,Volleyball,Volleyball,volleyball,"COSTA, Marlenis",Women,CUB,Cuba,W,Gold +Barcelona,1992,Volleyball,Volleyball,volleyball,"CALDERON MARTINEZ, Mercedes",Women,CUB,Cuba,W,Gold +Barcelona,1992,Volleyball,Volleyball,volleyball,"TIMMONS, Steve Dennis",Men,USA,United States,M,Bronze +Barcelona,1992,Volleyball,Volleyball,volleyball,"TORRES, Regla",Women,CUB,Cuba,W,Gold +Barcelona,1992,Volleyball,Volleyball,volleyball,"VAN DER MEULEN, Olof",Men,NED,Netherlands,M,Silver +Barcelona,1992,Volleyball,Volleyball,volleyball,"ODEN, Kimberly Yvette",Women,USA,United States,W,Bronze +Barcelona,1992,Volleyball,Volleyball,volleyball,"SATO, Liane Lissa",Women,USA,United States,W,Bronze +Barcelona,1992,Volleyball,Volleyball,volleyball,"LIMA, Mauricio",Men,BRA,Brazil,M,Gold +Barcelona,1992,Volleyball,Volleyball,volleyball,"ZETTERLUND, Yoko Karin",Women,USA,United States,W,Bronze +Barcelona,1992,Volleyball,Volleyball,volleyball,"RIBEIRO, Amauri",Men,BRA,Brazil,M,Gold +Barcelona,1992,Volleyball,Volleyball,volleyball,"SAMUEL, Alexandre",Men,BRA,Brazil,M,Gold +Barcelona,1992,Volleyball,Volleyball,volleyball,"GAVIO, Giovane",Men,BRA,Brazil,M,Gold +Barcelona,1992,Volleyball,Volleyball,volleyball,"TEFFER, Martin",Men,NED,Netherlands,M,Silver +Barcelona,1992,Volleyball,Volleyball,volleyball,"NIKOULINA, Marina",Women,EUN,Unified team,W,Silver +Barcelona,1992,Volleyball,Volleyball,volleyball,"O'FARRILL, Raisa",Women,CUB,Cuba,W,Gold +Barcelona,1992,Volleyball,Volleyball,volleyball,"LEBEDEVA, Galina",Women,EUN,Unified team,W,Silver +Barcelona,1992,Volleyball,Volleyball,volleyball,"GOUVEIA, Antonio Carlos",Men,BRA,Brazil,M,Gold +Barcelona,1992,Volleyball,Volleyball,volleyball,"GATO, Idalmis",Women,CUB,Cuba,W,Gold +Barcelona,1992,Volleyball,Volleyball,volleyball,"ENDICOTT, Lori Ann",Women,USA,United States,W,Bronze +Barcelona,1992,Volleyball,Volleyball,volleyball,"ZWERVER, Ronald",Men,NED,Netherlands,M,Silver +Barcelona,1992,Volleyball,Volleyball,volleyball,"BRITO, Jorge Edson",Men,BRA,Brazil,M,Gold +Barcelona,1992,Volleyball,Volleyball,volleyball,"SIDORENKO, Tatyana",Women,EUN,Unified team,W,Silver +Barcelona,1992,Volleyball,Volleyball,volleyball,"ZOODSMA, Ronald",Men,NED,Netherlands,M,Silver +Barcelona,1992,Volleyball,Volleyball,volleyball,"COBBS, Janet Marie",Women,USA,United States,W,Bronze +Barcelona,1992,Volleyball,Volleyball,volleyball,"ARTAMONOVA, Evgenya",Women,EUN,Unified team,W,Silver +Barcelona,1992,Volleyball,Volleyball,volleyball,"CROSS-BATTLE, Tara",Women,USA,United States,W,Bronze +Barcelona,1992,Volleyball,Volleyball,volleyball,"VASSILEVSKAIA, Svetlana",Women,EUN,Unified team,W,Silver +Barcelona,1992,Volleyball,Volleyball,volleyball,"LILEY, Tammy",Women,USA,United States,W,Bronze +Barcelona,1992,Volleyball,Volleyball,volleyball,"SAMUELSON, Robert Lewis",Men,USA,United States,M,Bronze +Barcelona,1992,Volleyball,Volleyball,volleyball,"LUIS, Alejandrina",Women,CUB,Cuba,W,Gold +Barcelona,1992,Volleyball,Volleyball,volleyball,"CARVALHO, Janelson",Men,BRA,Brazil,M,Gold +Barcelona,1992,Volleyball,Volleyball,volleyball,"KLOK, Marko",Men,NED,Netherlands,M,Silver +Barcelona,1992,Volleyball,Volleyball,volleyball,"CHIAROTTI, Douglas",Men,BRA,Brazil,M,Gold +Barcelona,1992,Volleyball,Volleyball,volleyball,"SILVA, Paulo Andre",Men,BRA,Brazil,M,Gold +Barcelona,1992,Volleyball,Volleyball,volleyball,"ORTIZ CALVO, Tania",Women,CUB,Cuba,W,Gold +Barcelona,1992,Volleyball,Volleyball,volleyball,"PARTIE, Robert Douglas",Men,USA,United States,M,Bronze +Barcelona,1992,Volleyball,Volleyball,volleyball,"OGIENKO, Valentina",Women,EUN,Unified team,W,Silver +Barcelona,1992,Volleyball,Volleyball,volleyball,"FERNANDEZ, Ana Ibis",Women,CUB,Cuba,W,Gold +Barcelona,1992,Volleyball,Volleyball,volleyball,"BECKER, Nick Adrian",Men,USA,United States,M,Bronze +Barcelona,1992,Volleyball,Volleyball,volleyball,"WEISHOFF, Paula Jo",Women,USA,United States,W,Bronze +Barcelona,1992,Volleyball,Volleyball,volleyball,"VAN DER HORST, Martin",Men,NED,Netherlands,M,Silver +Barcelona,1992,Volleyball,Volleyball,volleyball,"TYURINA, Elena",Women,EUN,Unified team,W,Silver +Barcelona,1992,Volleyball,Volleyball,volleyball,"TCHEBOUKINA, Elena",Women,EUN,Unified team,W,Silver +Barcelona,1992,Weightlifting,Weightlifting,"100 - 110kg, total (heavyweight)","BOTEV, Stefan",Men,BUL,Bulgaria,M,Bronze +Barcelona,1992,Weightlifting,Weightlifting,"82.5 - 90kg, total (middle-heavyweight)","SYRTSOV, Serguei",Men,EUN,Unified team,M,Silver +Barcelona,1992,Weightlifting,Weightlifting,"- 56kg, total (bantamweight)","CHUN, Byung-Kwan",Men,KOR,"Korea, South",M,Gold +Barcelona,1992,Weightlifting,Weightlifting,"75 - 82.5kg, total (light-heavyweight)","SIEMION, Krzysztof",Men,POL,Poland,M,Silver +Barcelona,1992,Weightlifting,Weightlifting,"56 - 60kg, total (featherweight)","PECHALOV, Nikolay",Men,BUL,Bulgaria,M,Silver +Barcelona,1992,Weightlifting,Weightlifting,"60 - 67.5kg, total (lightweight)","YOTOV, Yoto Vassilev",Men,BUL,Bulgaria,M,Silver +Barcelona,1992,Weightlifting,Weightlifting,"56 - 60kg, total (featherweight)","HE, Ying-Qiang",Men,CHN,China,M,Bronze +Barcelona,1992,Weightlifting,Weightlifting,"90 - 100kg, total (first-heavyweight)","MALAK, Waldemar",Men,POL,Poland,M,Bronze +Barcelona,1992,Weightlifting,Weightlifting,"- 56kg, total (bantamweight)","LUO, Jianming",Men,CHN,China,M,Bronze +Barcelona,1992,Weightlifting,Weightlifting,"- 52kg, total (flyweight)","IVANOV, Ivan Ivanov",Men,BUL,Bulgaria,M,Gold +Barcelona,1992,Weightlifting,Weightlifting,"67.5 - 75kg, total (middleweight)","LARA, Pablo",Men,CUB,Cuba,M,Silver +Barcelona,1992,Weightlifting,Weightlifting,"67.5 - 75kg, total (middleweight)","KIM, Myong Nam",Men,PRK,"Korea, North",M,Bronze +Barcelona,1992,Weightlifting,Weightlifting,"- 52kg, total (flyweight)","LIN, Qisheng",Men,CHN,China,M,Silver +Barcelona,1992,Weightlifting,Weightlifting,"- 52kg, total (flyweight)","CIHAREAN, Traian Ioachim",Men,ROU,Romania,M,Bronze +Barcelona,1992,Weightlifting,Weightlifting,"75 - 82.5kg, total (light-heavyweight)","DIMAS, Pyrros",Men,GRE,Greece,M,Gold +Barcelona,1992,Weightlifting,Weightlifting,"100 - 110kg, total (heavyweight)","AKOEV, Artour",Men,EUN,Unified team,M,Silver +Barcelona,1992,Weightlifting,Weightlifting,"+ 110kg, total (super heavyweight)","KURLOVICH, Alexandre",Men,EUN,Unified team,M,Gold +Barcelona,1992,Weightlifting,Weightlifting,"56 - 60kg, total (featherweight)","SULEYMANOGLU, Naim",Men,TUR,Turkey,M,Gold +Barcelona,1992,Weightlifting,Weightlifting,"+ 110kg, total (super heavyweight)","TARANENKO, Leonid",Men,EUN,Unified team,M,Silver +Barcelona,1992,Weightlifting,Weightlifting,"82.5 - 90kg, total (middle-heavyweight)","KAKIASVILIS, Akakios",Men,EUN,Unified team,M,Gold +Barcelona,1992,Weightlifting,Weightlifting,"60 - 67.5kg, total (lightweight)","BEHM, Andreas",Men,GER,Germany,M,Bronze +Barcelona,1992,Weightlifting,Weightlifting,"82.5 - 90kg, total (middle-heavyweight)","WOLCZANIECKI, Sergiusz",Men,POL,Poland,M,Bronze +Barcelona,1992,Weightlifting,Weightlifting,"90 - 100kg, total (first-heavyweight)","TREGOUBOV, Victor",Men,EUN,Unified team,M,Gold +Barcelona,1992,Weightlifting,Weightlifting,"- 56kg, total (bantamweight)","LIU, Shoubin",Men,CHN,China,M,Silver +Barcelona,1992,Weightlifting,Weightlifting,"67.5 - 75kg, total (middleweight)","KASSAPU, Fedor",Men,EUN,Unified team,M,Gold +Barcelona,1992,Weightlifting,Weightlifting,"90 - 100kg, total (first-heavyweight)","TAIMAZOV, Timour",Men,EUN,Unified team,M,Silver +Barcelona,1992,Weightlifting,Weightlifting,"100 - 110kg, total (heavyweight)","WELLER, Ronny",Men,GER,Germany,M,Gold +Barcelona,1992,Weightlifting,Weightlifting,"60 - 67.5kg, total (lightweight)","MILITOSIAN, Israel",Men,EUN,Unified team,M,Gold +Barcelona,1992,Weightlifting,Weightlifting,"+ 110kg, total (super heavyweight)","NERLINGER, Manfred",Men,GER,Germany,M,Bronze +Barcelona,1992,Wrestling,Wrestling Free.,74 - 82kg (middleweight),"JACKSON, Kevin",Men,USA,United States,M,Gold +Barcelona,1992,Wrestling,Wrestling Free.,82 - 90kg (light-heavyweight),"CAMPBELL, Christopher",Men,USA,United States,M,Bronze +Barcelona,1992,Wrestling,Wrestling Free.,- 48kg (light-flyweight),"ORUDZHOV, Vougar",Men,EUN,Unified team,M,Bronze +Barcelona,1992,Wrestling,Wrestling Free.,- 48kg (light-flyweight),"KIM, Il",Men,PRK,"Korea, North",M,Gold +Barcelona,1992,Wrestling,Wrestling Free.,100 - 130kg (super heavyweight),"BAUMGARTNER, Bruce Robert",Men,USA,United States,M,Gold +Barcelona,1992,Wrestling,Wrestling Free.,100 - 130kg (super heavyweight),"THUE, Jeffrey James Milton",Men,CAN,Canada,M,Silver +Barcelona,1992,Wrestling,Wrestling Free.,62 - 68kg (lightweight),"GETZOV, Valentin Dotchev",Men,BUL,Bulgaria,M,Silver +Barcelona,1992,Wrestling,Wrestling Free.,57 - 62kg (featherweight),"REINOSO MARTINEZ, Lazaro",Men,CUB,Cuba,M,Bronze +Barcelona,1992,Wrestling,Wrestling Free.,68 - 74kg (welterweight),"PARK, Jang-Soon",Men,KOR,"Korea, South",M,Gold +Barcelona,1992,Wrestling,Wrestling Free.,52 - 57kg (bantamweight),"SMAL, Serguei",Men,EUN,Unified team,M,Silver +Barcelona,1992,Wrestling,Wrestling Free.,62 - 68kg (lightweight),"FADZAEV, Arsen",Men,EUN,Unified team,M,Gold +Barcelona,1992,Wrestling,Wrestling Free.,57 - 62kg (featherweight),"MOHAMMADIAN, Asgari",Men,IRI,Iran,M,Silver +Barcelona,1992,Wrestling,Wrestling Free.,68 - 74kg (welterweight),"MONDAY, Kenneth",Men,USA,United States,M,Silver +Barcelona,1992,Wrestling,Wrestling Free.,90 - 100kg (heavyweight),"KAYALI, Ali",Men,TUR,Turkey,M,Bronze +Barcelona,1992,Wrestling,Wrestling Free.,74 - 82kg (middleweight),"JABRAILOV, Elmadi",Men,EUN,Unified team,M,Silver +Barcelona,1992,Wrestling,Wrestling Free.,48 - 52kg (flyweight),"LI, Hak-Son",Men,PRK,"Korea, North",M,Gold +Barcelona,1992,Wrestling,Wrestling Free.,90 - 100kg (heavyweight),"BALZ, Heiko",Men,GER,Germany,M,Silver +Barcelona,1992,Wrestling,Wrestling Free.,48 - 52kg (flyweight),"DIMITROV, Valentin Yordanov",Men,BUL,Bulgaria,M,Bronze +Barcelona,1992,Wrestling,Wrestling Free.,52 - 57kg (bantamweight),"KIM, Yong Sik",Men,PRK,"Korea, North",M,Bronze +Barcelona,1992,Wrestling,Wrestling Free.,90 - 100kg (heavyweight),"KHABELOV, Leri",Men,EUN,Unified team,M,Gold +Barcelona,1992,Wrestling,Wrestling Free.,57 - 62kg (featherweight),"SMITH, John",Men,USA,United States,M,Gold +Barcelona,1992,Wrestling,Wrestling Free.,52 - 57kg (bantamweight),"PUERTO DIAZ, Alejandro",Men,CUB,Cuba,M,Gold +Barcelona,1992,Wrestling,Wrestling Free.,82 - 90kg (light-heavyweight),"SIMSEK, Kenan",Men,TUR,Turkey,M,Silver +Barcelona,1992,Wrestling,Wrestling Free.,74 - 82kg (middleweight),"KHADEM AZGHADI, Rasul",Men,IRI,Iran,M,Bronze +Barcelona,1992,Wrestling,Wrestling Free.,- 48kg (light-flyweight),"KIM, Jong-Shin",Men,KOR,"Korea, South",M,Silver +Barcelona,1992,Wrestling,Wrestling Free.,82 - 90kg (light-heavyweight),"KHADARTSEV, Makharbek",Men,EUN,Unified team,M,Gold +Barcelona,1992,Wrestling,Wrestling Free.,100 - 130kg (super heavyweight),"GOBEDJICHVILI, David",Men,EUN,Unified team,M,Bronze +Barcelona,1992,Wrestling,Wrestling Free.,68 - 74kg (welterweight),"KHADEM AZGHADI, Amir Reza",Men,IRI,Iran,M,Bronze +Barcelona,1992,Wrestling,Wrestling Free.,48 - 52kg (flyweight),"JONES, Larry Lee",Men,USA,United States,M,Silver +Barcelona,1992,Wrestling,Wrestling Free.,62 - 68kg (lightweight),"AKAISHI, Kosei",Men,JPN,Japan,M,Bronze +Barcelona,1992,Wrestling,Wrestling Gre-R,68 - 74kg (welterweight),"ISKANDARIAN, Mnatsakan",Men,EUN,Unified team,M,Gold +Barcelona,1992,Wrestling,Wrestling Gre-R,90 - 100kg (heavyweight),"KOSLOWSKI, Dennis Marvin",Men,USA,United States,M,Silver +Barcelona,1992,Wrestling,Wrestling Gre-R,82 - 90kg (light-heavyweight),"BULLMANN, Maik",Men,GER,Germany,M,Gold +Barcelona,1992,Wrestling,Wrestling Gre-R,100 - 130kg (super heavyweight),"GRIGORAS, Ioan",Men,ROU,Romania,M,Bronze +Barcelona,1992,Wrestling,Wrestling Gre-R,48 - 52kg (flyweight),"MIN, Kyung-Kap",Men,KOR,"Korea, South",M,Bronze +Barcelona,1992,Wrestling,Wrestling Gre-R,48 - 52kg (flyweight),"TER-MKRTCHYAN, Alfred",Men,EUN,Unified team,M,Silver +Barcelona,1992,Wrestling,Wrestling Gre-R,- 48kg (light-flyweight),"MAENZA, Vincenzo",Men,ITA,Italy,M,Silver +Barcelona,1992,Wrestling,Wrestling Gre-R,62 - 68kg (lightweight),"DOUGOUTCHIEV, Islam",Men,EUN,Unified team,M,Silver +Barcelona,1992,Wrestling,Wrestling Gre-R,52 - 57kg (bantamweight),"SHENG, Zetian",Men,CHN,China,M,Bronze +Barcelona,1992,Wrestling,Wrestling Gre-R,74 - 82kg (middleweight),"FARKAS, Peter",Men,HUN,Hungary,M,Gold +Barcelona,1992,Wrestling,Wrestling Gre-R,68 - 74kg (welterweight),"KORNBAKK, Torbjoern",Men,SWE,Sweden,M,Bronze +Barcelona,1992,Wrestling,Wrestling Gre-R,74 - 82kg (middleweight),"TOURLYKHANOV, Daoulet",Men,EUN,Unified team,M,Bronze +Barcelona,1992,Wrestling,Wrestling Gre-R,90 - 100kg (heavyweight),"MILIAN PEREZ, Hector",Men,CUB,Cuba,M,Gold +Barcelona,1992,Wrestling,Wrestling Gre-R,82 - 90kg (light-heavyweight),"BASAR, Hakki",Men,TUR,Turkey,M,Silver +Barcelona,1992,Wrestling,Wrestling Gre-R,57 - 62kg (featherweight),"MARTYNOV, Serguei",Men,EUN,Unified team,M,Silver +Barcelona,1992,Wrestling,Wrestling Gre-R,- 48kg (light-flyweight),"KOUTCHERENKO, Oleg",Men,EUN,Unified team,M,Gold +Barcelona,1992,Wrestling,Wrestling Gre-R,100 - 130kg (super heavyweight),"JOHANSSON, Tomas",Men,SWE,Sweden,M,Silver +Barcelona,1992,Wrestling,Wrestling Gre-R,52 - 57kg (bantamweight),"AN, Han-Bong",Men,KOR,"Korea, South",M,Gold +Barcelona,1992,Wrestling,Wrestling Gre-R,74 - 82kg (middleweight),"STEPIEN, Piotr",Men,POL,Poland,M,Silver +Barcelona,1992,Wrestling,Wrestling Gre-R,68 - 74kg (welterweight),"TRACZ, Jozef",Men,POL,Poland,M,Silver +Barcelona,1992,Wrestling,Wrestling Gre-R,90 - 100kg (heavyweight),"DEMIACHKIEVITCH, Serguei",Men,EUN,Unified team,M,Bronze +Barcelona,1992,Wrestling,Wrestling Gre-R,62 - 68kg (lightweight),"SMITH, Rodney",Men,USA,United States,M,Bronze +Barcelona,1992,Wrestling,Wrestling Gre-R,52 - 57kg (bantamweight),"YILDIZ, Rifat",Men,GER,Germany,M,Silver +Barcelona,1992,Wrestling,Wrestling Gre-R,57 - 62kg (featherweight),"PIRIM, Akif",Men,TUR,Turkey,M,Gold +Barcelona,1992,Wrestling,Wrestling Gre-R,- 48kg (light-flyweight),"SANCHEZ AMITA, Wilber",Men,CUB,Cuba,M,Bronze +Barcelona,1992,Wrestling,Wrestling Gre-R,57 - 62kg (featherweight),"MAREN, Juan Luis",Men,CUB,Cuba,M,Bronze +Barcelona,1992,Wrestling,Wrestling Gre-R,82 - 90kg (light-heavyweight),"KOGOUACHVILI, Gogui",Men,EUN,Unified team,M,Bronze +Barcelona,1992,Wrestling,Wrestling Gre-R,100 - 130kg (super heavyweight),"KARELIN, Aleksandr",Men,EUN,Unified team,M,Gold +Barcelona,1992,Wrestling,Wrestling Gre-R,48 - 52kg (flyweight),"RÖNNINGEN, Jon",Men,NOR,Norway,M,Gold +Barcelona,1992,Wrestling,Wrestling Gre-R,62 - 68kg (lightweight),"REPKA, Attila",Men,HUN,Hungary,M,Gold +Atlanta,1996,Aquatics,Diving,3m springboard,"YU, Zhuocheng",Men,CHN,China,M,Silver +Atlanta,1996,Aquatics,Diving,3m springboard,"XIONG, Ni",Men,CHN,China,M,Gold +Atlanta,1996,Aquatics,Diving,10m platform,"HEMPEL, Jan",Men,GER,Germany,M,Silver +Atlanta,1996,Aquatics,Diving,10m platform,"CLARK, Mary Ellen",Women,USA,United States,W,Bronze +Atlanta,1996,Aquatics,Diving,3m springboard,"LASHKO, Irina",Women,RUS,Russia,W,Silver +Atlanta,1996,Aquatics,Diving,10m platform,"SAUTIN, Dmitry",Men,RUS,Russia,M,Gold +Atlanta,1996,Aquatics,Diving,3m springboard,"PELLETIER, Annie",Women,CAN,Canada,W,Bronze +Atlanta,1996,Aquatics,Diving,3m springboard,"FU, Mingxia",Women,CHN,China,W,Gold +Atlanta,1996,Aquatics,Diving,10m platform,"FU, Mingxia",Women,CHN,China,W,Gold +Atlanta,1996,Aquatics,Diving,3m springboard,"LENZI, Mark Edward",Men,USA,United States,M,Bronze +Atlanta,1996,Aquatics,Diving,10m platform,"WALTER, Annika",Women,GER,Germany,W,Silver +Atlanta,1996,Aquatics,Diving,10m platform,"XIAO, Hailiang",Men,CHN,China,M,Bronze +Atlanta,1996,Aquatics,Swimming,4x200m freestyle relay,"STEVENSON, Nicole Dawn",Women,AUS,Australia,W,Bronze +Atlanta,1996,Aquatics,Swimming,4x200m freestyle relay,"HEILMANN, Aimo",Men,GER,Germany,M,Bronze +Atlanta,1996,Aquatics,Swimming,100m breaststroke,"LINN, Jeremy",Men,USA,United States,M,Silver +Atlanta,1996,Aquatics,Swimming,200m individual medley,"SMITH, Michelle Marie",Women,IRL,Ireland,W,Gold +Atlanta,1996,Aquatics,Swimming,200m breaststroke,"HEYNS, Penelope",Women,RSA,South Africa,W,Gold +Atlanta,1996,Aquatics,Swimming,100m freestyle,"LE, Jingyi",Women,CHN,China,W,Gold +Atlanta,1996,Aquatics,Swimming,4x100m medley relay,"POPOV, Alexander",Men,RUS,Russia,M,Silver +Atlanta,1996,Aquatics,Swimming,4x100m medley relay,"BOTSFORD, Beth",Women,USA,United States,W,Gold +Atlanta,1996,Aquatics,Swimming,200m freestyle,"LOADER, Danyon Joseph",Men,NZL,New Zealand,M,Gold +Atlanta,1996,Aquatics,Swimming,4x100m medley relay,"SHAN, Ying",Women,CHN,China,W,Bronze +Atlanta,1996,Aquatics,Swimming,100m backstroke,"FALCON CABRERA, Rodolfo",Men,CUB,Cuba,M,Silver +Atlanta,1996,Aquatics,Swimming,4x100m medley relay,"ROGERS, Philip John",Men,AUS,Australia,M,Bronze +Atlanta,1996,Aquatics,Swimming,50m freestyle,"SCHERER, Fernando",Men,BRA,Brazil,M,Bronze +Atlanta,1996,Aquatics,Swimming,200m butterfly,"GOODMAN, Scott",Men,AUS,Australia,M,Bronze +Atlanta,1996,Aquatics,Swimming,4x100m freestyle relay,"PYSHNENKO, Vladimir",Men,RUS,Russia,M,Silver +Atlanta,1996,Aquatics,Swimming,4x100m freestyle relay,"TUCKER, Scott",Men,USA,United States,M,Gold +Atlanta,1996,Aquatics,Swimming,4x100m freestyle relay,"FOX, David",Men,USA,United States,M,Gold +Atlanta,1996,Aquatics,Swimming,4x100m medley relay,"BEARD, Amanda",Women,USA,United States,W,Gold +Atlanta,1996,Aquatics,Swimming,4x100m medley relay,"STEVENSON, Nicole Dawn",Women,AUS,Australia,W,Silver +Atlanta,1996,Aquatics,Swimming,50m freestyle,"POPOV, Alexander",Men,RUS,Russia,M,Gold +Atlanta,1996,Aquatics,Swimming,200m butterfly,"O'NEILL, Susan",Women,AUS,Australia,W,Gold +Atlanta,1996,Aquatics,Swimming,4x100m medley relay,"SELKOV, Vladimir",Men,RUS,Russia,M,Silver +Atlanta,1996,Aquatics,Swimming,4x100m medley relay,"HAENEN, Toby Christian",Men,AUS,Australia,M,Bronze +Atlanta,1996,Aquatics,Swimming,200m freestyle,"VAN ALMSICK, Franziska",Women,GER,Germany,W,Silver +Atlanta,1996,Aquatics,Swimming,4x200m freestyle relay,"ZESNER, Steffen",Men,GER,Germany,M,Bronze +Atlanta,1996,Aquatics,Swimming,400m individual medley,"NAMESNIK, Eric",Men,USA,United States,M,Silver +Atlanta,1996,Aquatics,Swimming,100m backstroke,"HEDGEPETH, Whitney L.",Women,USA,United States,W,Silver +Atlanta,1996,Aquatics,Swimming,4x200m freestyle relay,"OLSEN, Jon",Men,USA,United States,M,Gold +Atlanta,1996,Aquatics,Swimming,4x100m freestyle relay,"FREITAG, Meike",Women,GER,Germany,W,Bronze +Atlanta,1996,Aquatics,Swimming,800m freestyle,"VLIEGHUIS, Kirsten",Women,NED,Netherlands,W,Bronze +Atlanta,1996,Aquatics,Swimming,1500m freestyle,"SMITH, Graeme",Men,GBR,United Kingdom,M,Bronze +Atlanta,1996,Aquatics,Swimming,4x100m medley relay,"IVANOVSKIY, Roman",Men,RUS,Russia,M,Silver +Atlanta,1996,Aquatics,Swimming,4x100m medley relay,"MILLER, Scott",Men,AUS,Australia,M,Bronze +Atlanta,1996,Aquatics,Swimming,4x100m freestyle relay,"OSYGUS, Simone",Women,GER,Germany,W,Bronze +Atlanta,1996,Aquatics,Swimming,4x100m freestyle relay,"SCHUMACHER, Bradley",Men,USA,United States,M,Gold +Atlanta,1996,Aquatics,Swimming,4x200m freestyle relay,"KELLER, Christian",Men,GER,Germany,M,Bronze +Atlanta,1996,Aquatics,Swimming,200m butterfly,"MALCHOW, Tom",Men,USA,United States,M,Silver +Atlanta,1996,Aquatics,Swimming,200m individual medley,"LIMPERT, Marianne Luise",Women,CAN,Canada,W,Silver +Atlanta,1996,Aquatics,Swimming,4x100m freestyle relay,"ZIKARSKY, Björn",Men,GER,Germany,M,Bronze +Atlanta,1996,Aquatics,Swimming,200m backstroke,"RUND, Cathleen",Women,GER,Germany,W,Bronze +Atlanta,1996,Aquatics,Swimming,4x100m medley relay,"PANKRATOV, Denis",Men,RUS,Russia,M,Silver +Atlanta,1996,Aquatics,Swimming,100m butterfly,"MILLER, Scott",Men,AUS,Australia,M,Silver +Atlanta,1996,Aquatics,Swimming,4x100m freestyle relay,"VALERIO, Melanie",Women,USA,United States,W,Gold +Atlanta,1996,Aquatics,Swimming,4x100m medley relay,"DEWICK, Steven",Men,AUS,Australia,M,Bronze +Atlanta,1996,Aquatics,Swimming,4x100m medley relay,"QUANCE, Kristine",Women,USA,United States,W,Gold +Atlanta,1996,Aquatics,Swimming,4x100m freestyle relay,"NIAN, Yun",Women,CHN,China,W,Silver +Atlanta,1996,Aquatics,Swimming,4x100m medley relay,"KLIM, Michael",Men,AUS,Australia,M,Bronze +Atlanta,1996,Aquatics,Swimming,200m individual medley,"MYDEN, Curtis Allen",Men,CAN,Canada,M,Bronze +Atlanta,1996,Aquatics,Swimming,4x100m freestyle relay,"USHKOV, Konstantin",Men,RUS,Russia,M,Silver +Atlanta,1996,Aquatics,Swimming,4x100m medley relay,"VAN DYKEN, Amy",Women,USA,United States,W,Gold +Atlanta,1996,Aquatics,Swimming,4x200m freestyle relay,"JACKSON, Trina",Women,USA,United States,W,Gold +Atlanta,1996,Aquatics,Swimming,100m breaststroke,"RILEY, Samantha Linette",Women,AUS,Australia,W,Bronze +Atlanta,1996,Aquatics,Swimming,4x200m freestyle relay,"TAORMINA, Sheila",Women,USA,United States,W,Gold +Atlanta,1996,Aquatics,Swimming,50m freestyle,"VAN DYKEN, Amy",Women,USA,United States,W,Gold +Atlanta,1996,Aquatics,Swimming,4x200m freestyle relay,"SCHUMACHER, Bradley",Men,USA,United States,M,Gold +Atlanta,1996,Aquatics,Swimming,4x100m medley relay,"HAN, Xue",Women,CHN,China,W,Bronze +Atlanta,1996,Aquatics,Swimming,4x100m medley relay,"LOPUKHOV, Stanislav",Men,RUS,Russia,M,Silver +Atlanta,1996,Aquatics,Swimming,4x100m freestyle relay,"POPOV, Alexander",Men,RUS,Russia,M,Silver +Atlanta,1996,Aquatics,Swimming,4x200m freestyle relay,"LAMPE, Oliver",Men,GER,Germany,M,Bronze +Atlanta,1996,Aquatics,Swimming,4x100m freestyle relay,"BUSCHSCHULTE, Antje",Women,GER,Germany,W,Bronze +Atlanta,1996,Aquatics,Swimming,4x200m freestyle relay,"MACKIE, Lise Maree",Women,AUS,Australia,W,Bronze +Atlanta,1996,Aquatics,Swimming,200m backstroke,"SCHWENK, Tripp",Men,USA,United States,M,Silver +Atlanta,1996,Aquatics,Swimming,800m freestyle,"BENNETT, Brooke",Women,USA,United States,W,Gold +Atlanta,1996,Aquatics,Swimming,400m freestyle,"HASE, Dagmar",Women,GER,Germany,W,Silver +Atlanta,1996,Aquatics,Swimming,4x200m freestyle relay,"GREVILLE, Julia",Women,AUS,Australia,W,Bronze +Atlanta,1996,Aquatics,Swimming,100m freestyle,"VOELKER, Sandra",Women,GER,Germany,W,Silver +Atlanta,1996,Aquatics,Swimming,4x100m medley relay,"YEGOROV, Roman",Men,RUS,Russia,M,Silver +Atlanta,1996,Aquatics,Swimming,100m butterfly,"PANKRATOV, Denis",Men,RUS,Russia,M,Gold +Atlanta,1996,Aquatics,Swimming,400m individual medley,"DOLAN, Tom",Men,USA,United States,M,Gold +Atlanta,1996,Aquatics,Swimming,4x200m freestyle relay,"BERUBE, Ryan",Men,USA,United States,M,Gold +Atlanta,1996,Aquatics,Swimming,4x200m freestyle relay,"OSYGUS, Simone",Women,GER,Germany,W,Silver +Atlanta,1996,Aquatics,Swimming,400m individual medley,"MYDEN, Curtis Allen",Men,CAN,Canada,M,Bronze +Atlanta,1996,Aquatics,Swimming,4x200m freestyle relay,"JACOB, Lisa",Women,USA,United States,W,Gold +Atlanta,1996,Aquatics,Swimming,400m freestyle,"PALMER, Paul Rory",Men,GBR,United Kingdom,M,Silver +Atlanta,1996,Aquatics,Swimming,100m freestyle,"POPOV, Alexander",Men,RUS,Russia,M,Gold +Atlanta,1996,Aquatics,Swimming,100m butterfly,"KULIKOV, Vladislav",Men,RUS,Russia,M,Bronze +Atlanta,1996,Aquatics,Swimming,4x100m medley relay,"GROTE, Kurt",Men,USA,United States,M,Gold +Atlanta,1996,Aquatics,Swimming,4x200m freestyle relay,"SCHOLZ, Anke",Women,GER,Germany,W,Silver +Atlanta,1996,Aquatics,Swimming,50m freestyle,"LE, Jingyi",Women,CHN,China,W,Silver +Atlanta,1996,Aquatics,Swimming,4x100m medley relay,"ROUSE, Jeff Norman",Men,USA,United States,M,Gold +Atlanta,1996,Aquatics,Swimming,200m individual medley,"LIN, Li",Women,CHN,China,W,Bronze +Atlanta,1996,Aquatics,Swimming,200m backstroke,"MERISI, Emanuele",Men,ITA,Italy,M,Bronze +Atlanta,1996,Aquatics,Swimming,4x100m freestyle relay,"LUDERITZ, Alexander",Men,GER,Germany,M,Bronze +Atlanta,1996,Aquatics,Swimming,200m butterfly,"THOMAS, Petria",Women,AUS,Australia,W,Silver +Atlanta,1996,Aquatics,Swimming,4x100m medley relay,"MARTINO, Angel",Women,USA,United States,W,Gold +Atlanta,1996,Aquatics,Swimming,200m breaststroke,"GUTTLER, Karoly",Men,HUN,Hungary,M,Silver +Atlanta,1996,Aquatics,Swimming,200m breaststroke,"BEARD, Amanda",Women,USA,United States,W,Silver +Atlanta,1996,Aquatics,Swimming,200m freestyle,"BORGES, Gustavo",Men,BRA,Brazil,M,Silver +Atlanta,1996,Aquatics,Swimming,4x100m medley relay,"SCHWENK, Tripp",Men,USA,United States,M,Gold +Atlanta,1996,Aquatics,Swimming,50m freestyle,"HALL, Gary Jr.",Men,USA,United States,M,Silver +Atlanta,1996,Aquatics,Swimming,400m individual medley,"WAGNER, Allison",Women,USA,United States,W,Silver +Atlanta,1996,Aquatics,Swimming,800m freestyle,"HASE, Dagmar",Women,GER,Germany,W,Silver +Atlanta,1996,Aquatics,Swimming,200m individual medley,"CZENE, Attila",Men,HUN,Hungary,M,Gold +Atlanta,1996,Aquatics,Swimming,4x200m freestyle relay,"LYRBRING, Anders",Men,SWE,Sweden,M,Silver +Atlanta,1996,Aquatics,Swimming,4x100m medley relay,"O'NEILL, Susan",Women,AUS,Australia,W,Silver +Atlanta,1996,Aquatics,Swimming,4x100m medley relay,"HARGIS, John",Men,USA,United States,M,Gold +Atlanta,1996,Aquatics,Swimming,4x100m medley relay,"KENNEDY, Angela",Women,AUS,Australia,W,Silver +Atlanta,1996,Aquatics,Swimming,4x100m freestyle relay,"OLSEN, Jon",Men,USA,United States,M,Gold +Atlanta,1996,Aquatics,Swimming,4x100m medley relay,"FOX, Catherine",Women,USA,United States,W,Gold +Atlanta,1996,Aquatics,Swimming,1500m freestyle,"PERKINS, Kieren John",Men,AUS,Australia,M,Gold +Atlanta,1996,Aquatics,Swimming,4x100m freestyle relay,"PIMANKOV, Denis",Men,RUS,Russia,M,Silver +Atlanta,1996,Aquatics,Swimming,100m breaststroke,"BEARD, Amanda",Women,USA,United States,W,Silver +Atlanta,1996,Aquatics,Swimming,400m freestyle,"VLIEGHUIS, Kirsten",Women,NED,Netherlands,W,Bronze +Atlanta,1996,Aquatics,Swimming,4x100m medley relay,"RILEY, Samantha Linette",Women,AUS,Australia,W,Silver +Atlanta,1996,Aquatics,Swimming,4x200m freestyle relay,"HUDEPOHL, Joseph",Men,USA,United States,M,Gold +Atlanta,1996,Aquatics,Swimming,400m individual medley,"EGERSZEGI, Krisztina",Women,HUN,Hungary,W,Bronze +Atlanta,1996,Aquatics,Swimming,200m butterfly,"PANKRATOV, Denis",Men,RUS,Russia,M,Gold +Atlanta,1996,Aquatics,Swimming,4x100m freestyle relay,"HALL, Gary Jr.",Men,USA,United States,M,Gold +Atlanta,1996,Aquatics,Swimming,4x100m freestyle relay,"TRÖGER, Christian",Men,GER,Germany,M,Bronze +Atlanta,1996,Aquatics,Swimming,4x100m medley relay,"LINN, Jeremy",Men,USA,United States,M,Gold +Atlanta,1996,Aquatics,Swimming,100m freestyle,"MARTINO, Angel",Women,USA,United States,W,Bronze +Atlanta,1996,Aquatics,Swimming,4x100m medley relay,"THOMPSON, Jenny",Women,USA,United States,W,Gold +Atlanta,1996,Aquatics,Swimming,200m freestyle,"POLL AHRENS, Claudia",Women,CRC,Costa Rica,W,Gold +Atlanta,1996,Aquatics,Swimming,4x200m freestyle relay,"WALLIN, Christer",Men,SWE,Sweden,M,Silver +Atlanta,1996,Aquatics,Swimming,4x200m freestyle relay,"HOLMERTZ, Anders",Men,SWE,Sweden,M,Silver +Atlanta,1996,Aquatics,Swimming,4x100m freestyle relay,"LE, Jingyi",Women,CHN,China,W,Silver +Atlanta,1996,Aquatics,Swimming,4x100m freestyle relay,"VAN ALMSICK, Franziska",Women,GER,Germany,W,Bronze +Atlanta,1996,Aquatics,Swimming,200m freestyle,"KOWALSKI, Daniel",Men,AUS,Australia,M,Bronze +Atlanta,1996,Aquatics,Swimming,200m backstroke,"HEDGEPETH, Whitney L.",Women,USA,United States,W,Silver +Atlanta,1996,Aquatics,Swimming,4x100m freestyle relay,"JACOB, Lisa",Women,USA,United States,W,Gold +Atlanta,1996,Aquatics,Swimming,200m butterfly,"SMITH, Michelle Marie",Women,IRL,Ireland,W,Bronze +Atlanta,1996,Aquatics,Swimming,4x100m medley relay,"KULIKOV, Vladislav",Men,RUS,Russia,M,Silver +Atlanta,1996,Aquatics,Swimming,4x100m freestyle relay,"PREDKIN, Vladimir",Men,RUS,Russia,M,Silver +Atlanta,1996,Aquatics,Swimming,4x200m freestyle relay,"JOHNSON, Emma",Women,AUS,Australia,W,Bronze +Atlanta,1996,Aquatics,Swimming,4x200m freestyle relay,"FREITAG, Meike",Women,GER,Germany,W,Silver +Atlanta,1996,Aquatics,Swimming,4x100m freestyle relay,"PINGER, Mark",Men,GER,Germany,M,Bronze +Atlanta,1996,Aquatics,Swimming,4x100m freestyle relay,"VAN DYKEN, Amy",Women,USA,United States,W,Gold +Atlanta,1996,Aquatics,Swimming,4x100m medley relay,"HENDERSON, Mark",Men,USA,United States,M,Gold +Atlanta,1996,Aquatics,Swimming,1500m freestyle,"KOWALSKI, Daniel",Men,AUS,Australia,M,Silver +Atlanta,1996,Aquatics,Swimming,200m breaststroke,"KORNEYEV, Andrey",Men,RUS,Russia,M,Bronze +Atlanta,1996,Aquatics,Swimming,200m backstroke,"BRIDGEWATER, Brad",Men,USA,United States,M,Gold +Atlanta,1996,Aquatics,Swimming,4x200m freestyle relay,"DAVIS, Josh",Men,USA,United States,M,Gold +Atlanta,1996,Aquatics,Swimming,400m freestyle,"KOWALSKI, Daniel",Men,AUS,Australia,M,Bronze +Atlanta,1996,Aquatics,Swimming,4x200m freestyle relay,"HASE, Dagmar",Women,GER,Germany,W,Silver +Atlanta,1996,Aquatics,Swimming,4x100m freestyle relay,"MARTINO, Angel",Women,USA,United States,W,Gold +Atlanta,1996,Aquatics,Swimming,100m backstroke,"BENT, Neisser",Men,CUB,Cuba,M,Bronze +Atlanta,1996,Aquatics,Swimming,4x100m freestyle relay,"DAVIS, Josh",Men,USA,United States,M,Gold +Atlanta,1996,Aquatics,Swimming,4x200m freestyle relay,"THOMPSON, Jenny",Women,USA,United States,W,Gold +Atlanta,1996,Aquatics,Swimming,200m breaststroke,"ROZSA, Norbert",Men,HUN,Hungary,M,Gold +Atlanta,1996,Aquatics,Swimming,4x100m freestyle relay,"THOMPSON, Jenny",Women,USA,United States,W,Gold +Atlanta,1996,Aquatics,Swimming,4x100m freestyle relay,"SHAN, Ying",Women,CHN,China,W,Silver +Atlanta,1996,Aquatics,Swimming,100m butterfly,"MARTINO, Angel",Women,USA,United States,W,Bronze +Atlanta,1996,Aquatics,Swimming,4x100m medley relay,"HEDGEPETH, Whitney L.",Women,USA,United States,W,Gold +Atlanta,1996,Aquatics,Swimming,4x200m freestyle relay,"DUBROVIN, Konstantin",Men,GER,Germany,M,Bronze +Atlanta,1996,Aquatics,Swimming,4x100m medley relay,"DENMAN, Helen",Women,AUS,Australia,W,Silver +Atlanta,1996,Aquatics,Swimming,4x100m freestyle relay,"FOX, Catherine",Women,USA,United States,W,Gold +Atlanta,1996,Aquatics,Swimming,4x100m freestyle relay,"CHAO, Na",Women,CHN,China,W,Silver +Atlanta,1996,Aquatics,Swimming,4x200m freestyle relay,"TRÖGER, Christian",Men,GER,Germany,M,Bronze +Atlanta,1996,Aquatics,Swimming,4x200m freestyle relay,"TEUSCHER, Cristina",Women,USA,United States,W,Gold +Atlanta,1996,Aquatics,Swimming,4x200m freestyle relay,"WHITNEY, Ashley",Women,USA,United States,W,Gold +Atlanta,1996,Aquatics,Swimming,4x100m freestyle relay,"VOELKER, Sandra",Women,GER,Germany,W,Bronze +Atlanta,1996,Aquatics,Swimming,4x200m freestyle relay,"KIELGASS, Kerstin",Women,GER,Germany,W,Silver +Atlanta,1996,Aquatics,Swimming,100m breaststroke,"DEBURGHGRAEVE, Frederik",Men,BEL,Belgium,M,Gold +Atlanta,1996,Aquatics,Swimming,4x200m freestyle relay,"SALMEEN, Annette",Women,USA,United States,W,Gold +Atlanta,1996,Aquatics,Swimming,200m freestyle,"HASE, Dagmar",Women,GER,Germany,W,Bronze +Atlanta,1996,Aquatics,Swimming,4x200m freestyle relay,"O'NEILL, Susan",Women,AUS,Australia,W,Bronze +Atlanta,1996,Aquatics,Swimming,400m freestyle,"SMITH, Michelle Marie",Women,IRL,Ireland,W,Gold +Atlanta,1996,Aquatics,Swimming,100m backstroke,"ROUSE, Jeff Norman",Men,USA,United States,M,Gold +Atlanta,1996,Aquatics,Swimming,4x100m medley relay,"DAVIS, Josh",Men,USA,United States,M,Gold +Atlanta,1996,Aquatics,Swimming,4x100m medley relay,"HALL, Gary Jr.",Men,USA,United States,M,Gold +Atlanta,1996,Aquatics,Swimming,100m freestyle,"HALL, Gary Jr.",Men,USA,United States,M,Silver +Atlanta,1996,Aquatics,Swimming,100m butterfly,"VAN DYKEN, Amy",Women,USA,United States,W,Gold +Atlanta,1996,Aquatics,Swimming,100m breaststroke,"WARNECKE, Mark",Men,GER,Germany,M,Bronze +Atlanta,1996,Aquatics,Swimming,100m backstroke,"KRIEL, Marianne",Women,RSA,South Africa,W,Bronze +Atlanta,1996,Aquatics,Swimming,4x100m medley relay,"RYAN, Sarah",Women,AUS,Australia,W,Silver +Atlanta,1996,Aquatics,Swimming,50m freestyle,"VOELKER, Sandra",Women,GER,Germany,W,Bronze +Atlanta,1996,Aquatics,Swimming,100m breaststroke,"HEYNS, Penelope",Women,RSA,South Africa,W,Gold +Atlanta,1996,Aquatics,Swimming,400m freestyle,"LOADER, Danyon Joseph",Men,NZL,New Zealand,M,Gold +Atlanta,1996,Aquatics,Swimming,4x200m freestyle relay,"FROLANDER, Lars",Men,SWE,Sweden,M,Silver +Atlanta,1996,Aquatics,Swimming,100m butterfly,"LIU, Limin",Women,CHN,China,W,Silver +Atlanta,1996,Aquatics,Swimming,4x200m freestyle relay,"VAN ALMSICK, Franziska",Women,GER,Germany,W,Silver +Atlanta,1996,Aquatics,Swimming,4x100m freestyle relay,"YEGOROV, Roman",Men,RUS,Russia,M,Silver +Atlanta,1996,Aquatics,Swimming,400m individual medley,"SMITH, Michelle Marie",Women,IRL,Ireland,W,Gold +Atlanta,1996,Aquatics,Swimming,4x100m medley relay,"CAI, Huijue",Women,CHN,China,W,Bronze +Atlanta,1996,Aquatics,Swimming,100m backstroke,"BOTSFORD, Beth",Women,USA,United States,W,Gold +Atlanta,1996,Aquatics,Swimming,200m individual medley,"SIEVINEN, Jani",Men,FIN,Finland,M,Silver +Atlanta,1996,Aquatics,Swimming,200m breaststroke,"KOVACS, Agnes",Women,HUN,Hungary,W,Bronze +Atlanta,1996,Aquatics,Swimming,4x100m medley relay,"CHEN, Yan",Women,CHN,China,W,Bronze +Atlanta,1996,Aquatics,Swimming,200m backstroke,"EGERSZEGI, Krisztina",Women,HUN,Hungary,W,Gold +Atlanta,1996,Aquatics,Swimming,100m freestyle,"BORGES, Gustavo",Men,BRA,Brazil,M,Bronze +Atlanta,1996,Aquatics,Swimming,4x100m freestyle relay,"ZIKARSKY, Bengt",Men,GER,Germany,M,Bronze +Atlanta,1996,Aquatics,Synchronized S.,team,"HOULD-MARCHAND, Valerie",Women,CAN,Canada,W,Silver +Atlanta,1996,Aquatics,Synchronized S.,team,"TACHIBANA, Miya",Women,JPN,Japan,W,Bronze +Atlanta,1996,Aquatics,Synchronized S.,team,"NAKAJIMA, Riho",Women,JPN,Japan,W,Bronze +Atlanta,1996,Aquatics,Synchronized S.,team,"CLARK, Karen",Women,CAN,Canada,W,Silver +Atlanta,1996,Aquatics,Synchronized S.,team,"READ, Cari",Women,CAN,Canada,W,Silver +Atlanta,1996,Aquatics,Synchronized S.,team,"KULESZA, Kasia",Women,CAN,Canada,W,Silver +Atlanta,1996,Aquatics,Synchronized S.,team,"BIANCO, Suzannah",Women,USA,United States,W,Gold +Atlanta,1996,Aquatics,Synchronized S.,team,"LESUEUR, Emily",Women,USA,United States,W,Gold +Atlanta,1996,Aquatics,Synchronized S.,team,"TAKEDA, Miho",Women,JPN,Japan,W,Bronze +Atlanta,1996,Aquatics,Synchronized S.,team,"PEASE, Heather",Women,USA,United States,W,Gold +Atlanta,1996,Aquatics,Synchronized S.,team,"WOODLEY, Erin",Women,CAN,Canada,W,Silver +Atlanta,1996,Aquatics,Synchronized S.,team,"CLELAND, Tammy",Women,USA,United States,W,Gold +Atlanta,1996,Aquatics,Synchronized S.,team,"SUDDUTH, Jill",Women,USA,United States,W,Gold +Atlanta,1996,Aquatics,Synchronized S.,team,"LARSEN, Christine",Women,CAN,Canada,W,Silver +Atlanta,1996,Aquatics,Synchronized S.,team,"TAKAHASHI, Kaori",Women,JPN,Japan,W,Bronze +Atlanta,1996,Aquatics,Synchronized S.,team,"THIEN, Margot",Women,USA,United States,W,Gold +Atlanta,1996,Aquatics,Synchronized S.,team,"SIMMONS-CARRASCO, Heather",Women,USA,United States,W,Gold +Atlanta,1996,Aquatics,Synchronized S.,team,"DYROEN-LANCER, Becky",Women,USA,United States,W,Gold +Atlanta,1996,Aquatics,Synchronized S.,team,"SAVERY, Jill",Women,USA,United States,W,Gold +Atlanta,1996,Aquatics,Synchronized S.,team,"FRECHETTE, Sylvie",Women,CAN,Canada,W,Silver +Atlanta,1996,Aquatics,Synchronized S.,team,"JIMBO, Rei",Women,JPN,Japan,W,Bronze +Atlanta,1996,Aquatics,Synchronized S.,team,"SCHNEYDER, Nathalie",Women,USA,United States,W,Gold +Atlanta,1996,Aquatics,Synchronized S.,team,"FONTEYNE, Karen",Women,CAN,Canada,W,Silver +Atlanta,1996,Aquatics,Synchronized S.,team,"FUJIKI, Mayuko",Women,JPN,Japan,W,Bronze +Atlanta,1996,Aquatics,Synchronized S.,team,"ALEXANDER, Lisa",Women,CAN,Canada,W,Silver +Atlanta,1996,Aquatics,Synchronized S.,team,"FUJII, Raika",Women,JPN,Japan,W,Bronze +Atlanta,1996,Aquatics,Synchronized S.,team,"TANAKA, Junko",Women,JPN,Japan,W,Bronze +Atlanta,1996,Aquatics,Synchronized S.,team,"KAWASE, Akiko",Women,JPN,Japan,W,Bronze +Atlanta,1996,Aquatics,Synchronized S.,team,"BREMNER, Janice",Women,CAN,Canada,W,Silver +Atlanta,1996,Aquatics,Synchronized S.,team,"KAWABE, Miho",Women,JPN,Japan,W,Bronze +Atlanta,1996,Aquatics,Water polo,water polo,"SKOLNEKOVIC, Sinisa",Men,CRO,Croatia,M,Silver +Atlanta,1996,Aquatics,Water polo,water polo,"CALCATERRA, Alessandro",Men,ITA,Italy,M,Bronze +Atlanta,1996,Aquatics,Water polo,water polo,"POMILIO, Amedeo",Men,ITA,Italy,M,Bronze +Atlanta,1996,Aquatics,Water polo,water polo,"SANZ, Carlos",Men,ESP,Spain,M,Gold +Atlanta,1996,Aquatics,Water polo,water polo,"BOVO, Alessandro",Men,ITA,Italy,M,Bronze +Atlanta,1996,Aquatics,Water polo,water polo,"MORO, Ivan",Men,ESP,Spain,M,Gold +Atlanta,1996,Aquatics,Water polo,water polo,"VRDOLJAK, Zdeslav",Men,CRO,Croatia,M,Silver +Atlanta,1996,Aquatics,Water polo,water polo,"SIMENC, Dubravko",Men,CRO,Croatia,M,Silver +Atlanta,1996,Aquatics,Water polo,water polo,"VRBICIC, Renato",Men,CRO,Croatia,M,Silver +Atlanta,1996,Aquatics,Water polo,water polo,"BUKIC, Perica",Men,CRO,Croatia,M,Silver +Atlanta,1996,Aquatics,Water polo,water polo,"PEDREROL, Sergi",Men,ESP,Spain,M,Gold +Atlanta,1996,Aquatics,Water polo,water polo,"GARCIA AGUADO, Pedro",Men,ESP,Spain,M,Gold +Atlanta,1996,Aquatics,Water polo,water polo,"GIUSTOLISI, Luca",Men,ITA,Italy,M,Bronze +Atlanta,1996,Aquatics,Water polo,water polo,"ESTIARTE, Manuel",Men,ESP,Spain,M,Gold +Atlanta,1996,Aquatics,Water polo,water polo,"VEGAR, Tino",Men,CRO,Croatia,M,Silver +Atlanta,1996,Aquatics,Water polo,water polo,"KREKOVIC, Josko",Men,CRO,Croatia,M,Silver +Atlanta,1996,Aquatics,Water polo,water polo,"SOTTANI, Leonardo",Men,ITA,Italy,M,Bronze +Atlanta,1996,Aquatics,Water polo,water polo,"STRITOF, Ratko",Men,CRO,Croatia,M,Silver +Atlanta,1996,Aquatics,Water polo,water polo,"ANGELINI, Alberto",Men,ITA,Italy,M,Bronze +Atlanta,1996,Aquatics,Water polo,water polo,"GOMEZ, Salvador",Men,ESP,Spain,M,Gold +Atlanta,1996,Aquatics,Water polo,water polo,"GLAVAN, Damir",Men,CRO,Croatia,M,Silver +Atlanta,1996,Aquatics,Water polo,water polo,"HINIC, Igor",Men,CRO,Croatia,M,Silver +Atlanta,1996,Aquatics,Water polo,water polo,"GERINI, Marco",Men,ITA,Italy,M,Bronze +Atlanta,1996,Aquatics,Water polo,water polo,"SANS, Jordi",Men,ESP,Spain,M,Gold +Atlanta,1996,Aquatics,Water polo,water polo,"KRZIC, Ognjen",Men,CRO,Croatia,M,Silver +Atlanta,1996,Aquatics,Water polo,water polo,"ABARCA, Jose Maria",Men,ESP,Spain,M,Gold +Atlanta,1996,Aquatics,Water polo,water polo,"KOBESCAK, Vjekoslav",Men,CRO,Croatia,M,Silver +Atlanta,1996,Aquatics,Water polo,water polo,"BALIC, Maro",Men,CRO,Croatia,M,Silver +Atlanta,1996,Aquatics,Water polo,water polo,"GHIBELLINI, Alberto",Men,ITA,Italy,M,Bronze +Atlanta,1996,Aquatics,Water polo,water polo,"BALLART, Daniel",Men,ESP,Spain,M,Gold +Atlanta,1996,Aquatics,Water polo,water polo,"ANDREO, Angel",Men,ESP,Spain,M,Gold +Atlanta,1996,Aquatics,Water polo,water polo,"OCA, Miguel Angel",Men,ESP,Spain,M,Gold +Atlanta,1996,Aquatics,Water polo,water polo,"ATTOLICO, Francesco",Men,ITA,Italy,M,Bronze +Atlanta,1996,Aquatics,Water polo,water polo,"CALCATERRA, Roberto",Men,ITA,Italy,M,Bronze +Atlanta,1996,Aquatics,Water polo,water polo,"PAYA, Jorge",Men,ESP,Spain,M,Gold +Atlanta,1996,Aquatics,Water polo,water polo,"ROLLAN, Jesus",Men,ESP,Spain,M,Gold +Atlanta,1996,Aquatics,Water polo,water polo,"BENCIVENGA, Fabio",Men,ITA,Italy,M,Bronze +Atlanta,1996,Aquatics,Water polo,water polo,"POSTIGLIONE, Francesco",Men,ITA,Italy,M,Bronze +Atlanta,1996,Aquatics,Water polo,water polo,"SILIPO, Carlo",Men,ITA,Italy,M,Bronze +Atlanta,1996,Archery,Archery,team (FITA Olympic round - 70m),"NOWICKA, Joanna",Women,POL,Poland,W,Bronze +Atlanta,1996,Archery,Archery,team (FITA Olympic round - 70m),"KIM, Jo-Sun",Women,KOR,"Korea, South",W,Gold +Atlanta,1996,Archery,Archery,team (FITA Olympic round - 70m),"YOUN, Hye-Young",Women,KOR,"Korea, South",W,Gold +Atlanta,1996,Archery,Archery,team (FITA Olympic round - 70m),"JANG, Yong-Ho",Men,KOR,"Korea, South",M,Silver +Atlanta,1996,Archery,Archery,team (FITA Olympic round - 70m),"JOHNSON, Richard",Men,USA,United States,M,Gold +Atlanta,1996,Archery,Archery,individual (FITA Olympic round - 70m),"KIM, Kyung-Wook",Women,KOR,"Korea, South",W,Gold +Atlanta,1996,Archery,Archery,individual (FITA Olympic round - 70m),"OH, Kyo-Moon",Men,KOR,"Korea, South",M,Bronze +Atlanta,1996,Archery,Archery,team (FITA Olympic round - 70m),"OH, Kyo-Moon",Men,KOR,"Korea, South",M,Silver +Atlanta,1996,Archery,Archery,team (FITA Olympic round - 70m),"DZIECIOL, Iwona",Women,POL,Poland,W,Bronze +Atlanta,1996,Archery,Archery,team (FITA Olympic round - 70m),"KIM, Kyung-Wook",Women,KOR,"Korea, South",W,Gold +Atlanta,1996,Archery,Archery,team (FITA Olympic round - 70m),"BISIANI, Matteo",Men,ITA,Italy,M,Bronze +Atlanta,1996,Archery,Archery,team (FITA Olympic round - 70m),"HUISH, Justin",Men,USA,United States,M,Gold +Atlanta,1996,Archery,Archery,team (FITA Olympic round - 70m),"WHITE, Rodney",Men,USA,United States,M,Gold +Atlanta,1996,Archery,Archery,team (FITA Olympic round - 70m),"PARENTI, Andrea",Men,ITA,Italy,M,Bronze +Atlanta,1996,Archery,Archery,individual (FITA Olympic round - 70m),"SADOVNYCHA, Olena",Women,UKR,Ukraine,W,Bronze +Atlanta,1996,Archery,Archery,team (FITA Olympic round - 70m),"WAGNER, Sandra",Women,GER,Germany,W,Silver +Atlanta,1996,Archery,Archery,team (FITA Olympic round - 70m),"PFOHL, Cornelia",Women,GER,Germany,W,Silver +Atlanta,1996,Archery,Archery,team (FITA Olympic round - 70m),"KLATA, Katarzyna",Women,POL,Poland,W,Bronze +Atlanta,1996,Archery,Archery,individual (FITA Olympic round - 70m),"PETERSSON, Magnus",Men,SWE,Sweden,M,Silver +Atlanta,1996,Archery,Archery,individual (FITA Olympic round - 70m),"HE, Ying",Women,CHN,China,W,Silver +Atlanta,1996,Archery,Archery,individual (FITA Olympic round - 70m),"HUISH, Justin",Men,USA,United States,M,Gold +Atlanta,1996,Archery,Archery,team (FITA Olympic round - 70m),"KIM, Bo-Ram",Men,KOR,"Korea, South",M,Silver +Atlanta,1996,Archery,Archery,team (FITA Olympic round - 70m),"FRANGILLI, Michele",Men,ITA,Italy,M,Bronze +Atlanta,1996,Archery,Archery,team (FITA Olympic round - 70m),"MENSING, Barbara",Women,GER,Germany,W,Silver +Atlanta,1996,Athletics,Athletics,long jump,"LEWIS, Carl",Men,USA,United States,M,Gold +Atlanta,1996,Athletics,Athletics,100m,"TORRENCE, Gwen",Women,USA,United States,W,Bronze +Atlanta,1996,Athletics,Athletics,400m hurdles,"BATTEN, Kim",Women,USA,United States,W,Silver +Atlanta,1996,Athletics,Athletics,discus throw,"KAPTYUKH, Vasiliy",Men,BLR,Belarus,M,Bronze +Atlanta,1996,Athletics,Athletics,4x400m relay,"GRAHAM, Kim",Women,USA,United States,W,Gold +Atlanta,1996,Athletics,Athletics,5000m,"BRUNET, Roberta",Women,ITA,Italy,W,Bronze +Atlanta,1996,Athletics,Athletics,800m,"RODAL, Vebjorn",Men,NOR,Norway,M,Gold +Atlanta,1996,Athletics,Athletics,heptathlon,"SAZANOVICH, Natalya",Women,BLR,Belarus,W,Silver +Atlanta,1996,Athletics,Athletics,triple jump,"EDWARDS, Jonathan David",Men,GBR,United Kingdom,M,Silver +Atlanta,1996,Athletics,Athletics,100m,"OTTEY-PAGE, Merlene",Women,JAM,Jamaica,W,Silver +Atlanta,1996,Athletics,Athletics,5000m,"BOULAMI, Khalid",Men,MAR,Morocco,M,Bronze +Atlanta,1996,Athletics,Athletics,4x100m relay,"MONTGOMERY, Tim",Men,USA,United States,M,Silver +Atlanta,1996,Athletics,Athletics,high jump,"AUSTIN, Charles",Men,USA,United States,M,Gold +Atlanta,1996,Athletics,Athletics,shot put,"KHUDOROZHKINA, Irina",Women,RUS,Russia,W,Bronze +Atlanta,1996,Athletics,Athletics,discus throw,"SADOVA, Natalya",Women,RUS,Russia,W,Silver +Atlanta,1996,Athletics,Athletics,4x400m relay,"MCDONALD, Michael",Men,JAM,Jamaica,M,Bronze +Atlanta,1996,Athletics,Athletics,1500m,"SZABO, Gabriela",Women,ROU,Romania,W,Silver +Atlanta,1996,Athletics,Athletics,5000m,"WANG, Junxia",Women,CHN,China,W,Gold +Atlanta,1996,Athletics,Athletics,400m hurdles,"DAVIS, Calvin",Men,USA,United States,M,Bronze +Atlanta,1996,Athletics,Athletics,long jump,"AJUNWA, Chioma",Women,NGR,Nigeria,W,Gold +Atlanta,1996,Athletics,Athletics,pole vault,"GALFIONE, Jean",Men,FRA,France,M,Gold +Atlanta,1996,Athletics,Athletics,long jump,"GREENE, Joe",Men,USA,United States,M,Bronze +Atlanta,1996,Athletics,Athletics,shot put,"BAGACH, Oleksandr",Men,UKR,Ukraine,M,Bronze +Atlanta,1996,Athletics,Athletics,javelin throw,"RATY, Seppo Henrik",Men,FIN,Finland,M,Bronze +Atlanta,1996,Athletics,Athletics,4x400m relay,"ROUSER, Jason",Men,USA,United States,M,Gold +Atlanta,1996,Athletics,Athletics,4x100m relay,"MILLER, Inger",Women,USA,United States,W,Gold +Atlanta,1996,Athletics,Athletics,decathlon,"O'BRIEN, Dan",Men,USA,United States,M,Gold +Atlanta,1996,Athletics,Athletics,marathon,"THUGWANE, Josia",Men,RSA,South Africa,M,Gold +Atlanta,1996,Athletics,Athletics,4x400m relay,"HAUGHTON, Greg",Men,JAM,Jamaica,M,Bronze +Atlanta,1996,Athletics,Athletics,high jump,"BABAKOVA, Inha",Women,UKR,Ukraine,W,Bronze +Atlanta,1996,Athletics,Athletics,javelin throw,"HATTESTAD, Trine",Women,NOR,Norway,W,Bronze +Atlanta,1996,Athletics,Athletics,100m hurdles,"ENGQUIST, Ludmila",Women,SWE,Sweden,W,Gold +Atlanta,1996,Athletics,Athletics,long jump,"BECKFORD, James",Men,JAM,Jamaica,M,Silver +Atlanta,1996,Athletics,Athletics,4x100m relay,"DEVERS, Gail",Women,USA,United States,W,Gold +Atlanta,1996,Athletics,Athletics,marathon,"ROBA, Fatuma",Women,ETH,Ethiopia,W,Gold +Atlanta,1996,Athletics,Athletics,4x400m relay,"ROBINSON, Garth",Men,JAM,Jamaica,M,Bronze +Atlanta,1996,Athletics,Athletics,heptathlon,"LEWIS, Denise",Women,GBR,United Kingdom,W,Bronze +Atlanta,1996,Athletics,Athletics,400m hurdles,"HEMMINGS, Deon Marie",Women,JAM,Jamaica,W,Gold +Atlanta,1996,Athletics,Athletics,200m,"BOLDON, Ato",Men,TRI,Trinidad and Tobago,M,Bronze +Atlanta,1996,Athletics,Athletics,4x100m relay,"MITCHELL, Nikole",Women,JAM,Jamaica,W,Bronze +Atlanta,1996,Athletics,Athletics,4x400m relay,"OPARA, Charity",Women,NGR,Nigeria,W,Silver +Atlanta,1996,Athletics,Athletics,200m,"FREDERICKS, Frank",Men,NAM,Namibia,M,Silver +Atlanta,1996,Athletics,Athletics,110m hurdles,"SCHWARTHOFF, Florian",Men,GER,Germany,M,Bronze +Atlanta,1996,Athletics,Athletics,200m,"OTTEY-PAGE, Merlene",Women,JAM,Jamaica,W,Silver +Atlanta,1996,Athletics,Athletics,high jump,"PARTYKA, Artur",Men,POL,Poland,M,Silver +Atlanta,1996,Athletics,Athletics,4x400m relay,"STEVENS, Rochelle",Women,USA,United States,W,Gold +Atlanta,1996,Athletics,Athletics,4x400m relay,"WILSON, Linetta",Women,USA,United States,W,Gold +Atlanta,1996,Athletics,Athletics,400m hurdles,"MATETE, Samuel",Men,ZAM,Zambia,M,Silver +Atlanta,1996,Athletics,Athletics,4x100m relay,"CHAMBERS, Carlton",Men,CAN,Canada,M,Gold +Atlanta,1996,Athletics,Athletics,200m,"ONYALI, Mary",Women,NGR,Nigeria,W,Bronze +Atlanta,1996,Athletics,Athletics,4x100m relay,"RIBEIRO, Edson",Men,BRA,Brazil,M,Bronze +Atlanta,1996,Athletics,Athletics,hammer throw,"KRYKUN, Oleksiy",Men,UKR,Ukraine,M,Bronze +Atlanta,1996,Athletics,Athletics,javelin throw,"BACKLEY, Steve",Men,GBR,United Kingdom,M,Silver +Atlanta,1996,Athletics,Athletics,4x100m relay,"SURIN, Bruny",Men,CAN,Canada,M,Gold +Atlanta,1996,Athletics,Athletics,shot put,"KUMBERNUSS, Astrid",Women,GER,Germany,W,Gold +Atlanta,1996,Athletics,Athletics,10000m,"WANG, Junxia",Women,CHN,China,W,Silver +Atlanta,1996,Athletics,Athletics,800m,"ONYANCHA, Fred",Men,KEN,Kenya,M,Bronze +Atlanta,1996,Athletics,Athletics,javelin throw,"MCPAUL, Louise",Women,AUS,Australia,W,Silver +Atlanta,1996,Athletics,Athletics,4x100m relay,"HARDEN, Tim",Men,USA,United States,M,Silver +Atlanta,1996,Athletics,Athletics,hammer throw,"KISS, Balazs",Men,HUN,Hungary,M,Gold +Atlanta,1996,Athletics,Athletics,4x400m relay,"SMITH, Lamont",Men,USA,United States,M,Gold +Atlanta,1996,Athletics,Athletics,shot put,"BARNES, Eric Randolph",Men,USA,United States,M,Gold +Atlanta,1996,Athletics,Athletics,4x400m relay,"BLACK, Roger",Men,GBR,United Kingdom,M,Silver +Atlanta,1996,Athletics,Athletics,4x400m relay,"LADEJO, Duaine",Men,GBR,United Kingdom,M,Silver +Atlanta,1996,Athletics,Athletics,800m,"QUIROT, Ana Fidelia",Women,CUB,Cuba,W,Silver +Atlanta,1996,Athletics,Athletics,100m hurdles,"BUKOVEC, Brigitta",Women,SLO,Slovenia,W,Silver +Atlanta,1996,Athletics,Athletics,100m,"FREDERICKS, Frank",Men,NAM,Namibia,M,Silver +Atlanta,1996,Athletics,Athletics,4x100m relay,"FERGUSON-MCKENZIE, Debbie",Women,BAH,Bahamas,W,Silver +Atlanta,1996,Athletics,Athletics,3000m steeplechase,"LAMBRUSCHINI, Alessandro",Men,ITA,Italy,M,Bronze +Atlanta,1996,Athletics,Athletics,4x400m relay,"YUSUF, Fatima",Women,NGR,Nigeria,W,Silver +Atlanta,1996,Athletics,Athletics,long jump,"MAY, Fiona",Women,ITA,Italy,W,Silver +Atlanta,1996,Athletics,Athletics,4x100m relay,"RUSSELL, Gillian Claire",Women,JAM,Jamaica,W,Bronze +Atlanta,1996,Athletics,Athletics,decathlon,"BUSEMANN, Frank",Men,GER,Germany,M,Silver +Atlanta,1996,Athletics,Athletics,heptathlon,"SHOUAA, Ghada",Women,SYR,Syria,W,Gold +Atlanta,1996,Athletics,Athletics,high jump,"SMITH, Stephen James",Men,GBR,United Kingdom,M,Bronze +Atlanta,1996,Athletics,Athletics,discus throw,"WYLUDDA, Ilke",Women,GER,Germany,W,Gold +Atlanta,1996,Athletics,Athletics,100m,"BAILEY, Donovan",Men,CAN,Canada,M,Gold +Atlanta,1996,Athletics,Athletics,5000m,"NIYONGABO, Venuste",Men,BDI,Burundi,M,Gold +Atlanta,1996,Athletics,Athletics,pole vault,"TRANDENKOV, Igor",Men,RUS,Russia,M,Silver +Atlanta,1996,Athletics,Athletics,800m,"SEPENG, Hezekiel",Men,RSA,South Africa,M,Silver +Atlanta,1996,Athletics,Athletics,4x100m relay,"LLOYD, Andrea",Women,JAM,Jamaica,W,Bronze +Atlanta,1996,Athletics,Athletics,20km walk,"PEREZ, Jefferson",Men,ECU,Ecuador,M,Gold +Atlanta,1996,Athletics,Athletics,400m,"FREEMAN, Cathy",Women,AUS,Australia,W,Silver +Atlanta,1996,Athletics,Athletics,50km walk,"KORZENIOWSKI, Robert",Men,POL,Poland,M,Gold +Atlanta,1996,Athletics,Athletics,5000m,"BITOK, Paul",Men,KEN,Kenya,M,Silver +Atlanta,1996,Athletics,Athletics,4x400m relay,"KISABAKA, Linda",Women,GER,Germany,W,Bronze +Atlanta,1996,Athletics,Athletics,10000m,"RIBEIRO, Fernanda",Women,POR,Portugal,W,Gold +Atlanta,1996,Athletics,Athletics,1500m,"MORCELI, Nourredine",Men,ALG,Algeria,M,Gold +Atlanta,1996,Athletics,Athletics,high jump,"BAKOGIANNI, Niki",Women,GRE,Greece,W,Silver +Atlanta,1996,Athletics,Athletics,4x100m relay,"STURRUP, Chandra",Women,BAH,Bahamas,W,Silver +Atlanta,1996,Athletics,Athletics,4x400m relay,"HARRISON, Alvin",Men,USA,United States,M,Gold +Atlanta,1996,Athletics,Athletics,800m,"MUTOLA, Maria",Women,MOZ,Mozambique,W,Bronze +Atlanta,1996,Athletics,Athletics,4x100m relay,"BAILEY, Donovan",Men,CAN,Canada,M,Gold +Atlanta,1996,Athletics,Athletics,400m,"KAMOGA, Davis",Men,UGA,Uganda,M,Bronze +Atlanta,1996,Athletics,Athletics,10000m walk,"WANG, Yan",Women,CHN,China,W,Bronze +Atlanta,1996,Athletics,Athletics,400m hurdles,"BUFORD-BAILEY, Tonja",Women,USA,United States,W,Bronze +Atlanta,1996,Athletics,Athletics,400m hurdles,"ADKINS, Derrick",Men,USA,United States,M,Gold +Atlanta,1996,Athletics,Athletics,100m,"BOLDON, Ato",Men,TRI,Trinidad and Tobago,M,Bronze +Atlanta,1996,Athletics,Athletics,10000m walk,"PERRONE, Elisabetta",Women,ITA,Italy,W,Silver +Atlanta,1996,Athletics,Athletics,4x100m relay,"SILVA, Andre Domingos",Men,BRA,Brazil,M,Bronze +Atlanta,1996,Athletics,Athletics,discus throw,"RIEDEL, Lars",Men,GER,Germany,M,Gold +Atlanta,1996,Athletics,Athletics,decathlon,"DVORAK, Tomas",Men,CZE,Czech Republic,M,Bronze +Atlanta,1996,Athletics,Athletics,4x100m relay,"CUTHBERT, Juliet",Women,JAM,Jamaica,W,Bronze +Atlanta,1996,Athletics,Athletics,hammer throw,"DEAL, Lance Earl",Men,USA,United States,M,Silver +Atlanta,1996,Athletics,Athletics,400m,"OGUNKOYA, Falilat",Women,NGR,Nigeria,W,Bronze +Atlanta,1996,Athletics,Athletics,4x100m relay,"DA SILVA, Arnaldo",Men,BRA,Brazil,M,Bronze +Atlanta,1996,Athletics,Athletics,4x400m relay,"ROHLANDER, Uta",Women,GER,Germany,W,Bronze +Atlanta,1996,Athletics,Athletics,4x100m relay,"ESMIE, Robert",Men,CAN,Canada,M,Gold +Atlanta,1996,Athletics,Athletics,marathon,"WAINAINA, Erick",Men,KEN,Kenya,M,Bronze +Atlanta,1996,Athletics,Athletics,1500m,"KIPKORIR, Stephen",Men,KEN,Kenya,M,Bronze +Atlanta,1996,Athletics,Athletics,4x100m relay,"DRUMMOND, Jon",Men,USA,United States,M,Silver +Atlanta,1996,Athletics,Athletics,10000m,"GEBRSELASSIE, Haile",Men,ETH,Ethiopia,M,Gold +Atlanta,1996,Athletics,Athletics,4x100m relay,"CLARKE, Eldece",Women,BAH,Bahamas,W,Silver +Atlanta,1996,Athletics,Athletics,shot put,"SUI, Xinmei",Women,CHN,China,W,Silver +Atlanta,1996,Athletics,Athletics,4x400m relay,"RÜCKER, Anja",Women,GER,Germany,W,Bronze +Atlanta,1996,Athletics,Athletics,4x400m relay,"RICHARDSON, Mark Ashton",Men,GBR,United Kingdom,M,Silver +Atlanta,1996,Athletics,Athletics,100m,"DEVERS, Gail",Women,USA,United States,W,Gold +Atlanta,1996,Athletics,Athletics,marathon,"LEE, Bong-Ju",Men,KOR,"Korea, South",M,Silver +Atlanta,1996,Athletics,Athletics,400m,"JOHNSON, Michael",Men,USA,United States,M,Gold +Atlanta,1996,Athletics,Athletics,20km walk,"MARKOV, Ilya",Men,RUS,Russia,M,Silver +Atlanta,1996,Athletics,Athletics,4x100m relay,"FREEMAN, Michele",Women,JAM,Jamaica,W,Bronze +Atlanta,1996,Athletics,Athletics,4x400m relay,"MAYBANK, Anthuan",Men,USA,United States,M,Gold +Atlanta,1996,Athletics,Athletics,discus throw,"ZVEREVA, Ellina",Women,BLR,Belarus,W,Bronze +Atlanta,1996,Athletics,Athletics,4x400m relay,"OGUNKOYA, Falilat",Women,NGR,Nigeria,W,Silver +Atlanta,1996,Athletics,Athletics,4x100m relay,"GUIDRY-WHITE, Carlette D.",Women,USA,United States,W,Gold +Atlanta,1996,Athletics,Athletics,4x400m relay,"THOMAS, Iwan",Men,GBR,United Kingdom,M,Silver +Atlanta,1996,Athletics,Athletics,4x100m relay,"OTTEY-PAGE, Merlene",Women,JAM,Jamaica,W,Bronze +Atlanta,1996,Athletics,Athletics,marathon,"ARIMORI, Yuko",Women,JPN,Japan,W,Bronze +Atlanta,1996,Athletics,Athletics,marathon,"YEGOROVA, Valentina",Women,RUS,Russia,W,Silver +Atlanta,1996,Athletics,Athletics,400m,"PEREC, Marie-Jose",Women,FRA,France,W,Gold +Atlanta,1996,Athletics,Athletics,1500m,"CACHO RUIZ, Fermin",Men,ESP,Spain,M,Silver +Atlanta,1996,Athletics,Athletics,10000m walk,"NIKOLAYEVA, Yelena",Women,RUS,Russia,W,Gold +Atlanta,1996,Athletics,Athletics,4x400m relay,"BREUER, Grit",Women,GER,Germany,W,Bronze +Atlanta,1996,Athletics,Athletics,4x100m relay,"MARSH, Michael",Men,USA,United States,M,Silver +Atlanta,1996,Athletics,Athletics,4x400m relay,"BAULCH, Jamie",Men,GBR,United Kingdom,M,Silver +Atlanta,1996,Athletics,Athletics,4x100m relay,"DA SILVA, Robson",Men,BRA,Brazil,M,Bronze +Atlanta,1996,Athletics,Athletics,110m hurdles,"CREAR, Mark",Men,USA,United States,M,Silver +Atlanta,1996,Athletics,Athletics,discus throw,"DUBROVSHCHIK, Vladimir",Men,BLR,Belarus,M,Silver +Atlanta,1996,Athletics,Athletics,4x400m relay,"HYLTON, Mark",Men,GBR,United Kingdom,M,Silver +Atlanta,1996,Athletics,Athletics,800m,"MASTERKOVA, Svetlana",Women,RUS,Russia,W,Gold +Atlanta,1996,Athletics,Athletics,javelin throw,"ZELEZNY, Jan",Men,CZE,Czech Republic,M,Gold +Atlanta,1996,Athletics,Athletics,triple jump,"LASOVSKAYA, Inna",Women,RUS,Russia,W,Silver +Atlanta,1996,Athletics,Athletics,high jump,"KOSTADINOVA, Stefka",Women,BUL,Bulgaria,W,Gold +Atlanta,1996,Athletics,Athletics,1500m,"MASTERKOVA, Svetlana",Women,RUS,Russia,W,Gold +Atlanta,1996,Athletics,Athletics,4x100m relay,"MITCHELL, Dennis",Men,USA,United States,M,Silver +Atlanta,1996,Athletics,Athletics,4x100m relay,"GAINES, Chryste",Women,USA,United States,W,Gold +Atlanta,1996,Athletics,Athletics,pole vault,"TIVONTCHIK, Andrei",Men,GER,Germany,M,Bronze +Atlanta,1996,Athletics,Athletics,200m,"PEREC, Marie-Jose",Women,FRA,France,W,Gold +Atlanta,1996,Athletics,Athletics,long jump,"JOYNER-KERSEE, Jackie",Women,USA,United States,W,Bronze +Atlanta,1996,Athletics,Athletics,triple jump,"QUESADA, Yoelvis",Men,CUB,Cuba,M,Bronze +Atlanta,1996,Athletics,Athletics,1500m,"KIESL, Theresia",Women,AUT,Austria,W,Bronze +Atlanta,1996,Athletics,Athletics,3000m steeplechase,"KETER, Joseph",Men,KEN,Kenya,M,Gold +Atlanta,1996,Athletics,Athletics,4x400m relay,"MILES, Jearl",Women,USA,United States,W,Gold +Atlanta,1996,Athletics,Athletics,100m hurdles,"GIRARD, Patricia",Women,FRA,France,W,Bronze +Atlanta,1996,Athletics,Athletics,4x400m relay,"MALONE, Maicel",Women,USA,United States,W,Gold +Atlanta,1996,Athletics,Athletics,4x100m relay,"DAVIS, Pauline Elaine",Women,BAH,Bahamas,W,Silver +Atlanta,1996,Athletics,Athletics,shot put,"GODINA, John",Men,USA,United States,M,Silver +Atlanta,1996,Athletics,Athletics,50km walk,"MASSANA, Valentin",Men,ESP,Spain,M,Bronze +Atlanta,1996,Athletics,Athletics,10000m,"HISSOU, Salah",Men,MAR,Morocco,M,Bronze +Atlanta,1996,Athletics,Athletics,10000m,"WAMI, Gete",Women,ETH,Ethiopia,W,Bronze +Atlanta,1996,Athletics,Athletics,4x100m relay,"GILBERT, Glenroy",Men,CAN,Canada,M,Gold +Atlanta,1996,Athletics,Athletics,3000m steeplechase,"KIPTANUI, Moses",Men,KEN,Kenya,M,Silver +Atlanta,1996,Athletics,Athletics,triple jump,"HARRISON, Kenny",Men,USA,United States,M,Gold +Atlanta,1996,Athletics,Athletics,200m,"JOHNSON, Michael",Men,USA,United States,M,Gold +Atlanta,1996,Athletics,Athletics,4x100m relay,"FYNES, Sevatheda",Women,BAH,Bahamas,W,Silver +Atlanta,1996,Athletics,Athletics,20km walk,"SEGURA, Bernardo",Men,MEX,Mexico,M,Bronze +Atlanta,1996,Athletics,Athletics,10000m,"TERGAT, Paul",Men,KEN,Kenya,M,Silver +Atlanta,1996,Athletics,Athletics,110m hurdles,"JOHNSON, Allen",Men,USA,United States,M,Gold +Atlanta,1996,Athletics,Athletics,4x400m relay,"MILLS, Derek",Men,USA,United States,M,Gold +Atlanta,1996,Athletics,Athletics,javelin throw,"RANTANEN, Heli Orvokki",Women,FIN,Finland,W,Gold +Atlanta,1996,Athletics,Athletics,50km walk,"SHCHENNIKOV, Mikhail",Men,RUS,Russia,M,Silver +Atlanta,1996,Athletics,Athletics,4x400m relay,"BLAKE, Dennis Anthony",Men,JAM,Jamaica,M,Bronze +Atlanta,1996,Athletics,Athletics,4x400m relay,"MARTIN, Roxbert",Men,JAM,Jamaica,M,Bronze +Atlanta,1996,Athletics,Athletics,5000m,"KONGA, Pauline",Women,KEN,Kenya,W,Silver +Atlanta,1996,Athletics,Athletics,triple jump,"KASPARKOVA, Sarka",Women,CZE,Czech Republic,W,Bronze +Atlanta,1996,Athletics,Athletics,4x400m relay,"CLARKE, Davian",Men,JAM,Jamaica,M,Bronze +Atlanta,1996,Athletics,Athletics,triple jump,"KRAVETS, Inessa",Women,UKR,Ukraine,W,Gold +Atlanta,1996,Athletics,Athletics,4x400m relay,"AFOLABI, Bisi",Women,NGR,Nigeria,W,Silver +Atlanta,1996,Athletics,Athletics,4x100m relay,"TORRENCE, Gwen",Women,USA,United States,W,Gold +Atlanta,1996,Athletics,Athletics,400m,"BLACK, Roger",Men,GBR,United Kingdom,M,Silver +Atlanta,1996,Badminton,Badminton,doubles,"TANG, Yongshu",Women,CHN,China,W,Bronze +Atlanta,1996,Badminton,Badminton,singles,"SIDEK, Rashid",Men,MAS,Malaysia,M,Bronze +Atlanta,1996,Badminton,Badminton,singles,"AUDINA, Mia",Women,INA,Indonesia,W,Silver +Atlanta,1996,Badminton,Badminton,doubles,"YAP, Kim Hock",Men,MAS,Malaysia,M,Silver +Atlanta,1996,Badminton,Badminton,doubles,"CHEAH, Soon Kit",Men,MAS,Malaysia,M,Silver +Atlanta,1996,Badminton,Badminton,singles,"HOYER-LARSEN, Poul Erik",Men,DEN,Denmark,M,Gold +Atlanta,1996,Badminton,Badminton,singles,"DONG, Jiong",Men,CHN,China,M,Silver +Atlanta,1996,Badminton,Badminton,doubles,"KANTONO, Denny",Men,INA,Indonesia,M,Bronze +Atlanta,1996,Badminton,Badminton,doubles,"JANG, Hye Ock",Women,KOR,"Korea, South",W,Silver +Atlanta,1996,Badminton,Badminton,doubles,"MAINAKY, Rexy Ronald",Men,INA,Indonesia,M,Gold +Atlanta,1996,Badminton,Badminton,doubles,"SUN, Man",Women,CHN,China,X,Bronze +Atlanta,1996,Badminton,Badminton,doubles,"GU, Jun",Women,CHN,China,W,Gold +Atlanta,1996,Badminton,Badminton,doubles,"PARK, Joo-Bong",Men,KOR,"Korea, South",X,Silver +Atlanta,1996,Badminton,Badminton,doubles,"GIL, Young-Ah",Women,KOR,"Korea, South",X,Gold +Atlanta,1996,Badminton,Badminton,doubles,"KIM, Dong Moon",Men,KOR,"Korea, South",X,Gold +Atlanta,1996,Badminton,Badminton,doubles,"LIU, Jianjun",Men,CHN,China,X,Bronze +Atlanta,1996,Badminton,Badminton,doubles,"SUBAGJA, Ricky Achmad",Men,INA,Indonesia,M,Gold +Atlanta,1996,Badminton,Badminton,doubles,"QIN, Yiyuan",Women,CHN,China,W,Bronze +Atlanta,1996,Badminton,Badminton,singles,"BANG, Soo-Hyun",Women,KOR,"Korea, South",W,Gold +Atlanta,1996,Badminton,Badminton,singles,"SUSANTI, Susi",Women,INA,Indonesia,W,Bronze +Atlanta,1996,Badminton,Badminton,doubles,"GIL, Young-Ah",Women,KOR,"Korea, South",W,Silver +Atlanta,1996,Badminton,Badminton,doubles,"RA, Kyung-Min",Women,KOR,"Korea, South",X,Silver +Atlanta,1996,Badminton,Badminton,doubles,"IRIANTO, Antonius",Men,INA,Indonesia,M,Bronze +Atlanta,1996,Badminton,Badminton,doubles,"GE, Fei",Women,CHN,China,W,Gold +Atlanta,1996,Baseball,Baseball,baseball,"SATO, Tomoaki",Men,JPN,Japan,M,Silver +Atlanta,1996,Baseball,Baseball,baseball,"NOJIMA, Masahiro",Men,JPN,Japan,M,Silver +Atlanta,1996,Baseball,Baseball,baseball,"PADILLA, Juan",Men,CUB,Cuba,M,Gold +Atlanta,1996,Baseball,Baseball,baseball,"KINDELAN, Orestes",Men,CUB,Cuba,M,Gold +Atlanta,1996,Baseball,Baseball,baseball,"KUROSU, Takashi",Men,JPN,Japan,M,Silver +Atlanta,1996,Baseball,Baseball,baseball,"SUGIURA, Masanori",Men,JPN,Japan,M,Silver +Atlanta,1996,Baseball,Baseball,baseball,"LUIS, Omar",Men,CUB,Cuba,M,Gold +Atlanta,1996,Baseball,Baseball,baseball,"OKUBO, Hideaki",Men,JPN,Japan,M,Silver +Atlanta,1996,Baseball,Baseball,baseball,"CALDES, Miguel",Men,CUB,Cuba,M,Gold +Atlanta,1996,Baseball,Baseball,baseball,"DICKEY, R.A.",Men,USA,United States,M,Bronze +Atlanta,1996,Baseball,Baseball,baseball,"PARET, Eduardo",Men,CUB,Cuba,M,Gold +Atlanta,1996,Baseball,Baseball,baseball,"MORRIS, Warren",Men,USA,United States,M,Bronze +Atlanta,1996,Baseball,Baseball,baseball,"KUWAMOTO, Takao",Men,JPN,Japan,M,Silver +Atlanta,1996,Baseball,Baseball,baseball,"ALLEN, Chad",Men,USA,United States,M,Bronze +Atlanta,1996,Baseball,Baseball,baseball,"WILLIAMS, Jason",Men,USA,United States,M,Bronze +Atlanta,1996,Baseball,Baseball,baseball,"GREISINGER, Seth",Men,USA,United States,M,Bronze +Atlanta,1996,Baseball,Baseball,baseball,"MISAWA, Koichi",Men,JPN,Japan,M,Silver +Atlanta,1996,Baseball,Baseball,baseball,"ISAAC, Rey",Men,CUB,Cuba,M,Gold +Atlanta,1996,Baseball,Baseball,baseball,"SAIGO, Yasuyuki",Men,JPN,Japan,M,Silver +Atlanta,1996,Baseball,Baseball,baseball,"LEE, Travis",Men,USA,United States,M,Bronze +Atlanta,1996,Baseball,Baseball,baseball,"ONO, Hitoshi",Men,JPN,Japan,M,Silver +Atlanta,1996,Baseball,Baseball,baseball,"GREEN, Chad",Men,USA,United States,M,Bronze +Atlanta,1996,Baseball,Baseball,baseball,"PARQUE, Jim",Men,USA,United States,M,Bronze +Atlanta,1996,Baseball,Baseball,baseball,"FUMERO, Jorge",Men,CUB,Cuba,M,Gold +Atlanta,1996,Baseball,Baseball,baseball,"BENSON, Kris",Men,USA,United States,M,Bronze +Atlanta,1996,Baseball,Baseball,baseball,"JONES, Jacque",Men,USA,United States,M,Bronze +Atlanta,1996,Baseball,Baseball,baseball,"MANRIQUE, Juan",Men,CUB,Cuba,M,Gold +Atlanta,1996,Baseball,Baseball,baseball,"IGUCHI, Tadahito",Men,JPN,Japan,M,Silver +Atlanta,1996,Baseball,Baseball,baseball,"ULACIA, Luis",Men,CUB,Cuba,M,Gold +Atlanta,1996,Baseball,Baseball,baseball,"GLAUS, Troy",Men,USA,United States,M,Bronze +Atlanta,1996,Baseball,Baseball,baseball,"TAKABAYASHI, Takayuki",Men,JPN,Japan,M,Silver +Atlanta,1996,Baseball,Baseball,baseball,"IMAOKA, Makoto",Men,JPN,Japan,M,Silver +Atlanta,1996,Baseball,Baseball,baseball,"KOTSAY, Mark",Men,USA,United States,M,Bronze +Atlanta,1996,Baseball,Baseball,baseball,"MORINAKA, Masao",Men,JPN,Japan,M,Silver +Atlanta,1996,Baseball,Baseball,baseball,"TANI, Yoshitomo",Men,JPN,Japan,M,Silver +Atlanta,1996,Baseball,Baseball,baseball,"LINARES, Omar",Men,CUB,Cuba,M,Gold +Atlanta,1996,Baseball,Baseball,baseball,"MONTES DE OCA, Eliecer",Men,CUB,Cuba,M,Gold +Atlanta,1996,Baseball,Baseball,baseball,"MORI, Masahiko",Men,JPN,Japan,M,Silver +Atlanta,1996,Baseball,Baseball,baseball,"CONTRERAS, Jose Ariel",Men,CUB,Cuba,M,Gold +Atlanta,1996,Baseball,Baseball,baseball,"KOCH, Billy",Men,USA,United States,M,Bronze +Atlanta,1996,Baseball,Baseball,baseball,"LAZO, Pedro Luis",Men,CUB,Cuba,M,Gold +Atlanta,1996,Baseball,Baseball,baseball,"LOOPER, Braden",Men,USA,United States,M,Bronze +Atlanta,1996,Baseball,Baseball,baseball,"ROMERO, Osmany",Men,CUB,Cuba,M,Gold +Atlanta,1996,Baseball,Baseball,baseball,"HINCH, A.J.",Men,USA,United States,M,Bronze +Atlanta,1996,Baseball,Baseball,baseball,"SCULL, Antonio",Men,CUB,Cuba,M,Gold +Atlanta,1996,Baseball,Baseball,baseball,"FUKUDOME, Kosuke",Men,JPN,Japan,M,Silver +Atlanta,1996,Baseball,Baseball,baseball,"HERNANDEZ, Alberto",Men,CUB,Cuba,M,Gold +Atlanta,1996,Baseball,Baseball,baseball,"WEAVER, Jeff",Men,USA,United States,M,Bronze +Atlanta,1996,Baseball,Baseball,baseball,"PACHECO, Antonio",Men,CUB,Cuba,M,Gold +Atlanta,1996,Baseball,Baseball,baseball,"OJEDA, Augie",Men,USA,United States,M,Bronze +Atlanta,1996,Baseball,Baseball,baseball,"KAWAMURA, Takeo",Men,JPN,Japan,M,Silver +Atlanta,1996,Baseball,Baseball,baseball,"KIMURA, Jutaro",Men,JPN,Japan,M,Silver +Atlanta,1996,Baseball,Baseball,baseball,"NAKAMURA, Daishin",Men,JPN,Japan,M,Silver +Atlanta,1996,Baseball,Baseball,baseball,"LOYD, Brian",Men,USA,United States,M,Bronze +Atlanta,1996,Baseball,Baseball,baseball,"HARKRIDER, Kip",Men,USA,United States,M,Bronze +Atlanta,1996,Baseball,Baseball,baseball,"LECROY, Matt",Men,USA,United States,M,Bronze +Atlanta,1996,Baseball,Baseball,baseball,"MATSUNAKA, Nobuhiko",Men,JPN,Japan,M,Silver +Atlanta,1996,Baseball,Baseball,baseball,"ESTRADA, Jose Antonio",Men,CUB,Cuba,M,Gold +Atlanta,1996,Baseball,Baseball,baseball,"AJETE, Omar",Men,CUB,Cuba,M,Gold +Atlanta,1996,Baseball,Baseball,baseball,"VARGAS, Lazaro",Men,CUB,Cuba,M,Gold +Atlanta,1996,Basketball,Basketball,basketball,"HILL, Grant",Men,USA,United States,M,Gold +Atlanta,1996,Basketball,Basketball,basketball,"STOCKTON, John Houston",Men,USA,United States,M,Gold +Atlanta,1996,Basketball,Basketball,basketball,"OLAJUWON, Hakeem",Men,USA,United States,M,Gold +Atlanta,1996,Basketball,Basketball,basketball,"ZUKAUSKAS, Mindaugas",Men,LTU,Lithuania,M,Bronze +Atlanta,1996,Basketball,Basketball,basketball,"PIPPEN, Scottie",Men,USA,United States,M,Gold +Atlanta,1996,Basketball,Basketball,basketball,"OBRADOVIC, Sasa",Men,YUG,Yugoslavia,M,Silver +Atlanta,1996,Basketball,Basketball,basketball,"MCGHEE, Carla",Women,USA,United States,W,Gold +Atlanta,1996,Basketball,Basketball,basketball,"LUKMINAS, Darius",Men,LTU,Lithuania,M,Bronze +Atlanta,1996,Basketball,Basketball,basketball,"COOK, Allison",Women,AUS,Australia,W,Bronze +Atlanta,1996,Basketball,Basketball,basketball,"JURKUNAS, Andrius",Men,LTU,Lithuania,M,Bronze +Atlanta,1996,Basketball,Basketball,basketball,"KURTINAITIS, Rimas",Men,LTU,Lithuania,M,Bronze +Atlanta,1996,Basketball,Basketball,basketball,"ROBINSON, Fiona",Women,AUS,Australia,W,Bronze +Atlanta,1996,Basketball,Basketball,basketball,"LUZ, Silvia",Women,BRA,Brazil,W,Silver +Atlanta,1996,Basketball,Basketball,basketball,"MAHER, Robyn",Women,AUS,Australia,W,Bronze +Atlanta,1996,Basketball,Basketball,basketball,"PASPALJ, Zarko",Men,YUG,Yugoslavia,M,Silver +Atlanta,1996,Basketball,Basketball,basketball,"ZUKAUSKAS, Eurelijus",Men,LTU,Lithuania,M,Bronze +Atlanta,1996,Basketball,Basketball,basketball,"BRONDELLO, Alexandra",Women,AUS,Australia,W,Bronze +Atlanta,1996,Basketball,Basketball,basketball,"OLIVA, Hortencia Marcari",Women,BRA,Brazil,W,Silver +Atlanta,1996,Basketball,Basketball,basketball,"O'NEAL, Shaquille",Men,USA,United States,M,Gold +Atlanta,1996,Basketball,Basketball,basketball,"MCCLAIN, Katrina Felicia",Women,USA,United States,W,Gold +Atlanta,1996,Basketball,Basketball,basketball,"ROBINSON, David Maurice",Men,USA,United States,M,Gold +Atlanta,1996,Basketball,Basketball,basketball,"LESLIE, Lisa",Women,USA,United States,W,Gold +Atlanta,1996,Basketball,Basketball,basketball,"TOMASEVIC, Dejan",Men,YUG,Yugoslavia,M,Silver +Atlanta,1996,Basketball,Basketball,basketball,"STEDING, Katy",Women,USA,United States,W,Gold +Atlanta,1996,Basketball,Basketball,basketball,"SOBRAL, Leila",Women,BRA,Brazil,W,Silver +Atlanta,1996,Basketball,Basketball,basketball,"STALEY, Dawn",Women,USA,United States,W,Gold +Atlanta,1996,Basketball,Basketball,basketball,"SILVA, Maria Paula",Women,BRA,Brazil,W,Silver +Atlanta,1996,Basketball,Basketball,basketball,"WHITTLE, Jennifer",Women,AUS,Australia,W,Bronze +Atlanta,1996,Basketball,Basketball,basketball,"SAVIC, Zoran",Men,YUG,Yugoslavia,M,Silver +Atlanta,1996,Basketball,Basketball,basketball,"MCCRAY, Nikki",Women,USA,United States,W,Gold +Atlanta,1996,Basketball,Basketball,basketball,"RICHMOND, Mitchell J.",Men,USA,United States,M,Gold +Atlanta,1996,Basketball,Basketball,basketball,"STOMBERGAS, Saulius",Men,LTU,Lithuania,M,Bronze +Atlanta,1996,Basketball,Basketball,basketball,"EINIKIS, Gintaras",Men,LTU,Lithuania,M,Bronze +Atlanta,1996,Basketball,Basketball,basketball,"OLIVEIRA, Alessandra",Women,BRA,Brazil,W,Silver +Atlanta,1996,Basketball,Basketball,basketball,"FALLON, Trish",Women,AUS,Australia,W,Bronze +Atlanta,1996,Basketball,Basketball,basketball,"MARCIULIONIS, Sarunas",Men,LTU,Lithuania,M,Bronze +Atlanta,1996,Basketball,Basketball,basketball,"SABONIS, Arvydas",Men,LTU,Lithuania,M,Bronze +Atlanta,1996,Basketball,Basketball,basketball,"LACEY, Venus",Women,USA,United States,W,Gold +Atlanta,1996,Basketball,Basketball,basketball,"TIMMS, Michelle",Women,AUS,Australia,W,Bronze +Atlanta,1996,Basketball,Basketball,basketball,"BOLTON, Ruthie",Women,USA,United States,W,Gold +Atlanta,1996,Basketball,Basketball,basketball,"BROGAN, Michelle",Women,AUS,Australia,W,Bronze +Atlanta,1996,Basketball,Basketball,basketball,"ANGELICA, Maria",Women,BRA,Brazil,W,Silver +Atlanta,1996,Basketball,Basketball,basketball,"TOPIC, Milenko",Men,YUG,Yugoslavia,M,Silver +Atlanta,1996,Basketball,Basketball,basketball,"SANDIE, Shelley",Women,AUS,Australia,W,Bronze +Atlanta,1996,Basketball,Basketball,basketball,"GUSTAVO, Roseli",Women,BRA,Brazil,W,Silver +Atlanta,1996,Basketball,Basketball,basketball,"EDWARDS, Teresa",Women,USA,United States,W,Gold +Atlanta,1996,Basketball,Basketball,basketball,"SPORN, Rachael",Women,AUS,Australia,W,Bronze +Atlanta,1996,Basketball,Basketball,basketball,"PASTOR, Claudia Maria",Women,BRA,Brazil,W,Silver +Atlanta,1996,Basketball,Basketball,basketball,"BODIROGA, Dejan",Men,YUG,Yugoslavia,M,Silver +Atlanta,1996,Basketball,Basketball,basketball,"PACESAS, Tomas",Men,LTU,Lithuania,M,Bronze +Atlanta,1996,Basketball,Basketball,basketball,"LONCAR, Nikola",Men,YUG,Yugoslavia,M,Silver +Atlanta,1996,Basketball,Basketball,basketball,"MALONE, Karl",Men,USA,United States,M,Gold +Atlanta,1996,Basketball,Basketball,basketball,"SOBRAL, Marta",Women,BRA,Brazil,W,Silver +Atlanta,1996,Basketball,Basketball,basketball,"BERIC, Miroslav",Men,YUG,Yugoslavia,M,Silver +Atlanta,1996,Basketball,Basketball,basketball,"HARDAWAY, Anfernee",Men,USA,United States,M,Gold +Atlanta,1996,Basketball,Basketball,basketball,"SWOOPES, Sheryl",Women,USA,United States,W,Gold +Atlanta,1996,Basketball,Basketball,basketball,"BARKLEY, Charles",Men,USA,United States,M,Gold +Atlanta,1996,Basketball,Basketball,basketball,"PAYTON, Gary",Men,USA,United States,M,Gold +Atlanta,1996,Basketball,Basketball,basketball,"CHANDLER, Michelle",Women,AUS,Australia,W,Bronze +Atlanta,1996,Basketball,Basketball,basketball,"AZZI, Jennifer",Women,USA,United States,W,Gold +Atlanta,1996,Basketball,Basketball,basketball,"DJORDJEVIC, Aleksandar",Men,YUG,Yugoslavia,M,Silver +Atlanta,1996,Basketball,Basketball,basketball,"MILLER, Reggie",Men,USA,United States,M,Gold +Atlanta,1996,Basketball,Basketball,basketball,"REBRACA, Zeljko",Men,YUG,Yugoslavia,M,Silver +Atlanta,1996,Basketball,Basketball,basketball,"ARCAIN, Janeth",Women,BRA,Brazil,W,Silver +Atlanta,1996,Basketball,Basketball,basketball,"KARNISOVAS, Arturas",Men,LTU,Lithuania,M,Bronze +Atlanta,1996,Basketball,Basketball,basketball,"DANILOVIC, Predrag",Men,YUG,Yugoslavia,M,Silver +Atlanta,1996,Basketball,Basketball,basketball,"SANTOS, Adriana Aparecida",Women,BRA,Brazil,W,Silver +Atlanta,1996,Basketball,Basketball,basketball,"VAISVILA, Rytis",Men,LTU,Lithuania,M,Bronze +Atlanta,1996,Basketball,Basketball,basketball,"SANTOS, Cintia",Women,BRA,Brazil,W,Silver +Atlanta,1996,Basketball,Basketball,basketball,"LOBO, Rebecca",Women,USA,United States,W,Gold +Atlanta,1996,Basketball,Basketball,basketball,"BOYD, Carla",Women,AUS,Australia,W,Bronze +Atlanta,1996,Basketball,Basketball,basketball,"DIVAC, Vladimir",Men,YUG,Yugoslavia,M,Silver +Atlanta,1996,Boxing,Boxing,51 - 54kg (bantamweight),"MESA, Arnaldo",Men,CUB,Cuba,M,Silver +Atlanta,1996,Boxing,Boxing,63.5 - 67kg (welterweight),"SAITOV, Oleg",Men,RUS,Russia,M,Gold +Atlanta,1996,Boxing,Boxing,75 - 81kg (light-heavyweight),"ULRICH, Thomas",Men,GER,Germany,M,Bronze +Atlanta,1996,Boxing,Boxing,81 - 91kg (heavyweight),"DEFIAGBON, David",Men,CAN,Canada,M,Silver +Atlanta,1996,Boxing,Boxing,54 - 57kg (featherweight),"KAMSING, Somluck",Men,THA,Thailand,M,Gold +Atlanta,1996,Boxing,Boxing,48 - 51kg (flyweight),"LUNKA, Zoltan",Men,GER,Germany,M,Bronze +Atlanta,1996,Boxing,Boxing,63.5 - 67kg (welterweight),"SIMION, Marian",Men,ROU,Romania,M,Bronze +Atlanta,1996,Boxing,Boxing,57 - 60kg (lightweight),"TONTCHEV TONTCHO, Dimitrov",Men,BUL,Bulgaria,M,Silver +Atlanta,1996,Boxing,Boxing,63.5 - 67kg (welterweight),"HERNANDEZ SIERRA, Juan",Men,CUB,Cuba,M,Silver +Atlanta,1996,Boxing,Boxing,51 - 54kg (bantamweight),"KOVACS, Istvan",Men,HUN,Hungary,M,Gold +Atlanta,1996,Boxing,Boxing,63.5 - 67kg (welterweight),"SANTOS, Daniel",Men,PUR,Puerto Rico*,M,Bronze +Atlanta,1996,Boxing,Boxing,+ 91kg (super heavyweight),"KLICHKO, Vladimir",Men,UKR,Ukraine,M,Gold +Atlanta,1996,Boxing,Boxing,57 - 60kg (lightweight),"CAUTHEN, Terrance",Men,USA,United States,M,Bronze +Atlanta,1996,Boxing,Boxing,75 - 81kg (light-heavyweight),"TARVER, Antonio",Men,USA,United States,M,Bronze +Atlanta,1996,Boxing,Boxing,- 48kg (light-flyweight),"LOZANO MUÑOZ, Rafael",Men,ESP,Spain,M,Bronze +Atlanta,1996,Boxing,Boxing,60 - 63.5kg (light-welterweight),"MISSAOUI, Fathi",Men,TUN,Tunisia,M,Bronze +Atlanta,1996,Boxing,Boxing,60 - 63.5kg (light-welterweight),"URKAL, Oktay",Men,GER,Germany,M,Silver +Atlanta,1996,Boxing,Boxing,48 - 51kg (flyweight),"DZUMADILOV, Bulat",Men,KAZ,Kazakhstan,M,Silver +Atlanta,1996,Boxing,Boxing,71-75kg,"HERNANDEZ, Ariel",Men,CUB,Cuba,M,Gold +Atlanta,1996,Boxing,Boxing,54 - 57kg (featherweight),"MAYWEATHER, Floyd",Men,USA,United States,M,Bronze +Atlanta,1996,Boxing,Boxing,71-75kg,"WELLS, Rhoshii",Men,USA,United States,M,Bronze +Atlanta,1996,Boxing,Boxing,57 - 60kg (lightweight),"DOROFTEI, Leonard Dorin",Men,ROU,Romania,M,Bronze +Atlanta,1996,Boxing,Boxing,60 - 63.5kg (light-welterweight),"NIYAZYMBETOV, Bolat",Men,KAZ,Kazakhstan,M,Bronze +Atlanta,1996,Boxing,Boxing,54 - 57kg (featherweight),"TODOROV, Serafim",Men,BUL,Bulgaria,M,Silver +Atlanta,1996,Boxing,Boxing,75 - 81kg (light-heavyweight),"LEE, Seung Bae",Men,KOR,"Korea, South",M,Silver +Atlanta,1996,Boxing,Boxing,+ 91kg (super heavyweight),"WOLFGRAM, Paea",Men,TGA,Tonga,M,Silver +Atlanta,1996,Boxing,Boxing,71-75kg,"BEYLEROGLU, Malik",Men,TUR,Turkey,M,Silver +Atlanta,1996,Boxing,Boxing,60 - 63.5kg (light-welterweight),"VINENT, Hector",Men,CUB,Cuba,M,Gold +Atlanta,1996,Boxing,Boxing,57 - 60kg (lightweight),"SOLTANI, Hocine",Men,ALG,Algeria,M,Gold +Atlanta,1996,Boxing,Boxing,- 48kg (light-flyweight),"VELASCO, Mansueto",Men,PHI,Philippines,M,Silver +Atlanta,1996,Boxing,Boxing,- 48kg (light-flyweight),"BOJINOV, Daniel Petrov",Men,BUL,Bulgaria,M,Gold +Atlanta,1996,Boxing,Boxing,81 - 91kg (heavyweight),"KRASNIQI, Luan",Men,GER,Germany,M,Bronze +Atlanta,1996,Boxing,Boxing,67 - 71kg (light-middleweight),"IBZAIMOV, Ezmouhan",Men,KAZ,Kazakhstan,M,Bronze +Atlanta,1996,Boxing,Boxing,81 - 91kg (heavyweight),"JONES, Nate",Men,USA,United States,M,Bronze +Atlanta,1996,Boxing,Boxing,+ 91kg (super heavyweight),"DOKIWARI, Duncan",Men,NGR,Nigeria,M,Bronze +Atlanta,1996,Boxing,Boxing,51 - 54kg (bantamweight),"MALAKHBEKOV, Raimkul",Men,RUS,Russia,M,Bronze +Atlanta,1996,Boxing,Boxing,+ 91kg (super heavyweight),"LEZIN, Alexei",Men,RUS,Russia,M,Bronze +Atlanta,1996,Boxing,Boxing,75 - 81kg (light-heavyweight),"JIROV, Vasilii",Men,KAZ,Kazakhstan,M,Gold +Atlanta,1996,Boxing,Boxing,51 - 54kg (bantamweight),"KHADPO, Vichai",Men,THA,Thailand,M,Bronze +Atlanta,1996,Boxing,Boxing,67 - 71kg (light-middleweight),"TULAGANOV, Karim",Men,UZB,Uzbekistan,M,Bronze +Atlanta,1996,Boxing,Boxing,- 48kg (light-flyweight),"KIRYUKHIN, Oleg",Men,UKR,Ukraine,M,Bronze +Atlanta,1996,Boxing,Boxing,48 - 51kg (flyweight),"PAKEEV, Albert",Men,RUS,Russia,M,Bronze +Atlanta,1996,Boxing,Boxing,71-75kg,"BAHARI, Mohamed",Men,ALG,Algeria,M,Bronze +Atlanta,1996,Boxing,Boxing,48 - 51kg (flyweight),"ROMERO, Maikro",Men,CUB,Cuba,M,Gold +Atlanta,1996,Boxing,Boxing,67 - 71kg (light-middleweight),"REID, David",Men,USA,United States,M,Gold +Atlanta,1996,Boxing,Boxing,81 - 91kg (heavyweight),"SAVON, Felix",Men,CUB,Cuba,M,Gold +Atlanta,1996,Boxing,Boxing,67 - 71kg (light-middleweight),"DUVERGEL, Alfredo",Men,CUB,Cuba,M,Silver +Atlanta,1996,Boxing,Boxing,54 - 57kg (featherweight),"CHACON, Pablo",Men,ARG,Argentina,M,Bronze +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,C-1 500m (canoe single),"DOKTOR, Martin",Men,CZE,Czech Republic,M,Gold +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"TISHCHENKO, Anatoly",Men,RUS,Russia,M,Bronze +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"BORSAN, Antonel",Men,ROU,Romania,M,Silver +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,C-1 500m (canoe single),"PULAI, Imre",Men,HUN,Hungary,M,Bronze +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,K-1 1000m (kayak single),"ROBINSON, Clint",Men,AUS,Australia,M,Bronze +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"SCARPA, Daniele",Men,ITA,Italy,M,Silver +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"GLAVAN, Marcel",Men,ROU,Romania,M,Silver +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"GUTSCHE, Torsten Rene",Men,GER,Germany,M,Gold +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"TSYBULNIKOV, Georgiy",Men,RUS,Russia,M,Bronze +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"KOBAN, Rita",Women,HUN,Hungary,W,Gold +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"EICHENBERGER, Sabine",Women,SUI,Switzerland,W,Silver +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"OLSSON, Anna",Women,SWE,Sweden,W,Bronze +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"REINECK, Thomas",Men,GER,Germany,M,Gold +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"ROSSI, Antonio",Men,ITA,Italy,M,Gold +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"OBREJA, Grigore",Men,ROU,Romania,M,Bronze +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"ROSSI, Antonio",Men,ITA,Italy,M,Gold +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"KAZANOV, Milko",Men,BUL,Bulgaria,M,Bronze +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,C-1 500m (canoe single),"KNAZOVICKY, Slavomir",Men,SVK,Slovakia,M,Silver +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"HOFMANN, Detlef",Men,GER,Germany,M,Gold +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"MUCKE, Manuela",Women,GER,Germany,W,Gold +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,C-1 1000m (canoe single),"ZALA, Gyorgy",Men,HUN,Hungary,M,Bronze +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"BLUHM, Kay",Men,GER,Germany,M,Gold +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,K-1 1000m (kayak single),"BONOMI, Beniamino",Men,ITA,Italy,M,Silver +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"VERLIN, Sergey",Men,RUS,Russia,M,Bronze +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"ADROVICZ, Attila",Men,HUN,Hungary,M,Silver +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"IDEM, Josefa",Women,ITA,Italy,W,Bronze +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"RENEYSKIY, Viktor",Men,MDA,Moldova,M,Silver +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"ERICSSON, Ingela",Women,SWE,Sweden,W,Bronze +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"FISCHER, Birgit",Women,GER,Germany,W,Silver +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"SCHUCK, Anett",Women,GER,Germany,W,Gold +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"HOLMANN, Knut",Men,NOR,Norway,M,Silver +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"MUELLER, Gabi",Women,SUI,Switzerland,W,Silver +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"KOLONICS, Gyorgy",Men,HUN,Hungary,M,Gold +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"COLLINS, Daniel",Men,AUS,Australia,M,Bronze +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"HORVATH, Csaba",Men,HUN,Hungary,M,Bronze +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"PORTWICH, Ramona",Women,GER,Germany,W,Gold +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"CSIPES, Ferenc",Men,HUN,Hungary,M,Silver +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"HARALAMOW, Ingrid",Women,SUI,Switzerland,W,Silver +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"BAUMER, Daniela",Women,SUI,Switzerland,W,Silver +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"HORVATH, Gabor",Men,HUN,Hungary,M,Silver +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,C-1 1000m (canoe single),"KLEMENTYEV, Ivans",Men,LAT,Latvia,M,Silver +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"BRUNET, Caroline",Women,CAN,Canada,W,Silver +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"BONOMI, Beniamino",Men,ITA,Italy,M,Silver +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,C-1 1000m (canoe single),"DOKTOR, Martin",Men,CZE,Czech Republic,M,Gold +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"RAJNA, Andras",Men,HUN,Hungary,M,Silver +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,K-1 1000m (kayak single),"HOLMANN, Knut",Men,NOR,Norway,M,Gold +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"KIRCHBACH, Gunar",Men,GER,Germany,M,Gold +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"JURAVSCHI, Nikolai",Men,MDA,Moldova,M,Silver +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"DUSHEV, Andrian",Men,BUL,Bulgaria,M,Bronze +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"BORCHERT, Katrin",Women,AUS,Australia,W,Bronze +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"FISCHER, Birgit",Women,GER,Germany,W,Gold +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"ANDRIEV, Gheorghe",Men,ROU,Romania,M,Bronze +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"DITTMER, Andreas",Men,GER,Germany,M,Gold +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"WINTER, Olaf",Men,GER,Germany,M,Gold +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"ZABEL, Mark",Men,GER,Germany,M,Gold +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"MARKIEWICZ, Piotr",Men,POL,Poland,M,Bronze +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"ROSENQVIST, Susanne",Women,SWE,Sweden,W,Bronze +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"BLUHM, Kay",Men,GER,Germany,M,Silver +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"GUNNARSSON, Susanne",Women,SWE,Sweden,W,Gold +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"ANDERSSON, Agneta",Women,SWE,Sweden,W,Gold +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"HORVATH, Csaba",Men,HUN,Hungary,M,Gold +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"ANDERSSON, Agneta",Women,SWE,Sweden,W,Bronze +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"GUTSCHE, Torsten Rene",Men,GER,Germany,M,Silver +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"SCARPA, Daniele",Men,ITA,Italy,M,Gold +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"GOROBIY, Oleg",Men,RUS,Russia,M,Bronze +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"KOLONICS, Gyorgy",Men,HUN,Hungary,M,Bronze +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"WOOD, Anna Maria",Women,AUS,Australia,W,Bronze +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"TRIM, Andrew Lawrence",Men,AUS,Australia,M,Bronze +Atlanta,1996,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"PORTWICH, Ramona",Women,GER,Germany,W,Silver +Atlanta,1996,Canoe / Kayak,Canoe / Kayak S,C-1 (canoe single),"POLLERT, Lukas",Men,CZE,Czech Republic,M,Silver +Atlanta,1996,Canoe / Kayak,Canoe / Kayak S,C-2 (canoe double),"SENFT, Michael",Men,GER,Germany,M,Bronze +Atlanta,1996,Canoe / Kayak,Canoe / Kayak S,C-2 (canoe double),"ADISSON, Franck",Men,FRA,France,M,Gold +Atlanta,1996,Canoe / Kayak,Canoe / Kayak S,C-2 (canoe double),"SIMEK, Miroslav",Men,CZE,Czech Republic,M,Silver +Atlanta,1996,Canoe / Kayak,Canoe / Kayak S,K-1 (kayak single),"VEHOVAR, Andraz",Men,SLO,Slovenia,M,Silver +Atlanta,1996,Canoe / Kayak,Canoe / Kayak S,C-1 (canoe single),"MARTIKAN, Michal",Men,SVK,Slovakia,M,Gold +Atlanta,1996,Canoe / Kayak,Canoe / Kayak S,K-1 (kayak single),"FOX-JERUSALMI, Myriam",Women,FRA,France,W,Bronze +Atlanta,1996,Canoe / Kayak,Canoe / Kayak S,C-1 (canoe single),"ESTANGUET, Patrice",Men,FRA,France,M,Bronze +Atlanta,1996,Canoe / Kayak,Canoe / Kayak S,C-2 (canoe double),"EHRENBERG, Andre",Men,GER,Germany,M,Bronze +Atlanta,1996,Canoe / Kayak,Canoe / Kayak S,K-1 (kayak single),"FIX, Oliver",Men,GER,Germany,M,Gold +Atlanta,1996,Canoe / Kayak,Canoe / Kayak S,C-2 (canoe double),"FORGUES, Wilfrid",Men,FRA,France,M,Gold +Atlanta,1996,Canoe / Kayak,Canoe / Kayak S,C-2 (canoe double),"ROHAN, Jiri",Men,CZE,Czech Republic,M,Silver +Atlanta,1996,Canoe / Kayak,Canoe / Kayak S,K-1 (kayak single),"BECKER, Thomas",Men,GER,Germany,M,Bronze +Atlanta,1996,Canoe / Kayak,Canoe / Kayak S,K-1 (kayak single),"HILGERTOVA, Stepanka",Women,CZE,Czech Republic,W,Gold +Atlanta,1996,Canoe / Kayak,Canoe / Kayak S,K-1 (kayak single),"CHLADEK, Dana",Women,USA,United States,W,Silver +Atlanta,1996,Cycling,Cycling Road,individual road race,"CHIAPPA, Imelda",Women,ITA,Italy,W,Silver +Atlanta,1996,Cycling,Cycling Road,individual road race,"RICHARD, Pascal",Men,SUI,Switzerland,M,Gold +Atlanta,1996,Cycling,Cycling Road,individual time trial,"LONGO-CIPRELLI, Jeannie",Women,FRA,France,W,Silver +Atlanta,1996,Cycling,Cycling Road,individual time trial,"INDURAIN, Miguel",Men,ESP,Spain,M,Gold +Atlanta,1996,Cycling,Cycling Road,individual road race,"HUGHES, Clara",Women,CAN,Canada,W,Bronze +Atlanta,1996,Cycling,Cycling Road,individual road race,"SCIANDRI, Max",Men,GBR,United Kingdom,M,Bronze +Atlanta,1996,Cycling,Cycling Road,individual time trial,"OLANO, Abraham",Men,ESP,Spain,M,Silver +Atlanta,1996,Cycling,Cycling Road,individual time trial,"ZABIROVA, Zoulfia",Women,RUS,Russia,W,Gold +Atlanta,1996,Cycling,Cycling Road,individual road race,"LONGO-CIPRELLI, Jeannie",Women,FRA,France,W,Gold +Atlanta,1996,Cycling,Cycling Road,individual time trial,"HUGHES, Clara",Women,CAN,Canada,W,Bronze +Atlanta,1996,Cycling,Cycling Road,individual time trial,"BOARDMAN, Christopher Miles",Men,GBR,United Kingdom,M,Bronze +Atlanta,1996,Cycling,Cycling Road,individual road race,"SOERENSEN, Rolf",Men,DEN,Denmark,M,Silver +Atlanta,1996,Cycling,Cycling Track,points race,"HARINGA, Ingrid",Women,NED,Netherlands,W,Silver +Atlanta,1996,Cycling,Cycling Track,sprint,"HARINGA, Ingrid",Women,NED,Netherlands,W,Bronze +Atlanta,1996,Cycling,Cycling Track,Sprint indivual,"NOTHSTEIN, Marty",Men,USA,United States,M,Silver +Atlanta,1996,Cycling,Cycling Track,points race,"LANCIEN, Nathalie",Women,FRA,France,W,Gold +Atlanta,1996,Cycling,Cycling Track,Individual Pursuit,"MCGEE, Bradley",Men,AUS,Australia,M,Bronze +Atlanta,1996,Cycling,Cycling Track,Points Race,"O'GRADY, Stuart",Men,AUS,Australia,M,Bronze +Atlanta,1996,Cycling,Cycling Track,individual pursuit,"ARNDT, Judith",Women,GER,Germany,W,Bronze +Atlanta,1996,Cycling,Cycling Track,Team Pursuit (4000m),"MCGEE, Bradley",Men,AUS,Australia,M,Bronze +Atlanta,1996,Cycling,Cycling Track,Individual Pursuit,"COLLINELLI, Andrea",Men,ITA,Italy,M,Gold +Atlanta,1996,Cycling,Cycling Track,individual pursuit,"BELLUTTI, Antonella",Women,ITA,Italy,W,Gold +Atlanta,1996,Cycling,Cycling Track,Team Pursuit (4000m),"MOREAU, Francis",Men,FRA,France,M,Gold +Atlanta,1996,Cycling,Cycling Track,Team Pursuit (4000m),"MARKOV, Alexei",Men,RUS,Russia,M,Silver +Atlanta,1996,Cycling,Cycling Track,Team Pursuit (4000m),"KUZNETSOV, Nikolai",Men,RUS,Russia,M,Silver +Atlanta,1996,Cycling,Cycling Track,Sprint indivual,"FIEDLER, Jens",Men,GER,Germany,M,Gold +Atlanta,1996,Cycling,Cycling Track,1km time trial,"HARTWELL, Erin W.",Men,USA,United States,M,Silver +Atlanta,1996,Cycling,Cycling Track,Team Pursuit (4000m),"CHANTYR, Anton",Men,RUS,Russia,M,Silver +Atlanta,1996,Cycling,Cycling Track,individual pursuit,"CLIGNET, Marion",Women,FRA,France,W,Silver +Atlanta,1996,Cycling,Cycling Track,Team Pursuit (4000m),"O'GRADY, Stuart",Men,AUS,Australia,M,Bronze +Atlanta,1996,Cycling,Cycling Track,Team Pursuit (4000m),"CAPELLE, Christophe",Men,FRA,France,M,Gold +Atlanta,1996,Cycling,Cycling Track,Points Race,"MARTINELLO, Silvio",Men,ITA,Italy,M,Gold +Atlanta,1996,Cycling,Cycling Track,Sprint indivual,"HARNETT, Curtis",Men,CAN,Canada,M,Bronze +Atlanta,1996,Cycling,Cycling Track,Team Pursuit (4000m),"MONIN, Jean-Michel",Men,FRA,France,M,Gold +Atlanta,1996,Cycling,Cycling Track,1km time trial,"JUMONJI, Takanobu",Men,JPN,Japan,M,Bronze +Atlanta,1996,Cycling,Cycling Track,Team Pursuit (4000m),"O'SHANNESSEY, Timothy",Men,AUS,Australia,M,Bronze +Atlanta,1996,Cycling,Cycling Track,sprint,"BALLANGER, Felicia",Women,FRA,France,W,Gold +Atlanta,1996,Cycling,Cycling Track,Individual Pursuit,"ERMENAULT, Philippe",Men,FRA,France,M,Silver +Atlanta,1996,Cycling,Cycling Track,Team Pursuit (4000m),"ERMENAULT, Philippe",Men,FRA,France,M,Gold +Atlanta,1996,Cycling,Cycling Track,points race,"TYLER SHARMAN, Lucy",Women,AUS,Australia,W,Bronze +Atlanta,1996,Cycling,Cycling Track,Points Race,"WALTON, Brian",Men,CAN,Canada,M,Silver +Atlanta,1996,Cycling,Cycling Track,sprint,"FERRIS, Michelle",Women,AUS,Australia,W,Silver +Atlanta,1996,Cycling,Cycling Track,1km time trial,"ROUSSEAU, Florian",Men,FRA,France,M,Gold +Atlanta,1996,Cycling,Cycling Track,Team Pursuit (4000m),"WOODS, Dean",Men,AUS,Australia,M,Bronze +Atlanta,1996,Cycling,Cycling Track,Team Pursuit (4000m),"AITKEN, Brett",Men,AUS,Australia,M,Bronze +Atlanta,1996,Cycling,Cycling Track,Team Pursuit (4000m),"GRITSUN, Eduard",Men,RUS,Russia,M,Silver +Atlanta,1996,Cycling,Mountain Bike,cross-country,"DEMATTEI, Susan",Women,USA,United States,W,Bronze +Atlanta,1996,Cycling,Mountain Bike,cross-country,"BRENTJENS, Bart",Men,NED,Netherlands,M,Gold +Atlanta,1996,Cycling,Mountain Bike,cross-country,"MARTINEZ, Miguel",Men,FRA,France,M,Bronze +Atlanta,1996,Cycling,Mountain Bike,cross-country,"SYDOR, Alison",Women,CAN,Canada,W,Silver +Atlanta,1996,Cycling,Mountain Bike,cross-country,"FRISCHKNECHT, Thomas",Men,SUI,Switzerland,M,Silver +Atlanta,1996,Cycling,Mountain Bike,cross-country,"PEZZO, Paola",Women,ITA,Italy,W,Gold +Atlanta,1996,Equestrian,Dressage,team,"TEODORESCU, Monica",Women,GER,Germany,X,Gold +Atlanta,1996,Equestrian,Dressage,team,"SCHAUDT, Martin",Men,GER,Germany,X,Gold +Atlanta,1996,Equestrian,Dressage,team,"VAN GRUNSVEN, Anky",Women,NED,Netherlands,X,Silver +Atlanta,1996,Equestrian,Dressage,team,"BARTELS DE VRIES, Maria Anna",Women,NED,Netherlands,X,Silver +Atlanta,1996,Equestrian,Dressage,team,"SEIDEL, Guenter",Men,USA,United States,X,Bronze +Atlanta,1996,Equestrian,Dressage,individual,"ROTHENBERGER, Sven",Men,NED,Netherlands,X,Bronze +Atlanta,1996,Equestrian,Dressage,team,"PETERS, Steffen",Women,USA,United States,X,Bronze +Atlanta,1996,Equestrian,Dressage,individual,"WERTH, Isabell",Women,GER,Germany,X,Gold +Atlanta,1996,Equestrian,Dressage,individual,"VAN GRUNSVEN, Anky",Women,NED,Netherlands,X,Silver +Atlanta,1996,Equestrian,Dressage,team,"ROTHENBERGER, Sven",Men,NED,Netherlands,X,Silver +Atlanta,1996,Equestrian,Dressage,team,"GIBSON, Michelle",Women,USA,United States,X,Bronze +Atlanta,1996,Equestrian,Dressage,team,"DOVER, Robert Jeffrey",Men,USA,United States,X,Bronze +Atlanta,1996,Equestrian,Dressage,team,"BALKENHOL, Klaus",Men,GER,Germany,X,Gold +Atlanta,1996,Equestrian,Dressage,team,"ROTHENBERGER, Gonnelien",Women,NED,Netherlands,X,Silver +Atlanta,1996,Equestrian,Dressage,team,"WERTH, Isabell",Women,GER,Germany,X,Gold +Atlanta,1996,Equestrian,Eventing,individual,"MILLIKIN, Kerry",Women,USA,United States,X,Bronze +Atlanta,1996,Equestrian,Eventing,team,"O'CONNOR, Karen",Women,USA,United States,X,Silver +Atlanta,1996,Equestrian,Eventing,team,"NICHOLSON, Andrew",Men,NZL,New Zealand,X,Bronze +Atlanta,1996,Equestrian,Eventing,team,"ROLTON, Gillian",Women,AUS,Australia,X,Gold +Atlanta,1996,Equestrian,Eventing,individual,"TAIT, Blyth",Men,NZL,New Zealand,X,Gold +Atlanta,1996,Equestrian,Eventing,team,"HOY, Andrew",Men,AUS,Australia,X,Gold +Atlanta,1996,Equestrian,Eventing,team,"JEFFERIS, Vaughn",Men,NZL,New Zealand,X,Bronze +Atlanta,1996,Equestrian,Eventing,team,"DUTTON, Phillip",Men,AUS,Australia,X,Gold +Atlanta,1996,Equestrian,Eventing,team,"LATTA, Victoria Jean",Women,NZL,New Zealand,X,Bronze +Atlanta,1996,Equestrian,Eventing,team,"TAIT, Blyth",Men,NZL,New Zealand,X,Bronze +Atlanta,1996,Equestrian,Eventing,team,"HENNEBERG, Jill",Women,USA,United States,X,Silver +Atlanta,1996,Equestrian,Eventing,individual,"CLARK, Sally",Women,NZL,New Zealand,X,Silver +Atlanta,1996,Equestrian,Eventing,team,"SCHAEFFER, Wendy",Women,AUS,Australia,X,Gold +Atlanta,1996,Equestrian,Eventing,team,"O'CONNOR, David",Men,USA,United States,X,Silver +Atlanta,1996,Equestrian,Eventing,team,"DAVIDSON, Bruce Oram",Men,USA,United States,X,Silver +Atlanta,1996,Equestrian,Jumping,team,"MATZ, Michael",Men,USA,United States,X,Silver +Atlanta,1996,Equestrian,Jumping,team,"BEERBAUM, Ludger",Men,GER,Germany,X,Gold +Atlanta,1996,Equestrian,Jumping,team,"LEONE, Peter",Men,USA,United States,X,Silver +Atlanta,1996,Equestrian,Jumping,individual,"MELLIGER, Wilhelm",Men,SUI,Switzerland,X,Silver +Atlanta,1996,Equestrian,Jumping,individual,"KIRCHHOFF, Ulrich",Men,GER,Germany,X,Gold +Atlanta,1996,Equestrian,Jumping,team,"SLOOTHAAK, Franke",Men,GER,Germany,X,Gold +Atlanta,1996,Equestrian,Jumping,individual,"LEDERMANN, Alexandra",Women,FRA,France,X,Bronze +Atlanta,1996,Equestrian,Jumping,team,"NIEBERG, Lars",Men,GER,Germany,X,Gold +Atlanta,1996,Equestrian,Jumping,team,"MIRANDA NETO, Alvaro",Men,BRA,Brazil,X,Bronze +Atlanta,1996,Equestrian,Jumping,team,"PESSOA, Rodrigo",Men,BRA,Brazil,X,Bronze +Atlanta,1996,Equestrian,Jumping,team,"JOHANNPETER, Andre",Men,BRA,Brazil,X,Bronze +Atlanta,1996,Equestrian,Jumping,team,"BURR-HOWARD, Leslie Michele",Women,USA,United States,X,Silver +Atlanta,1996,Equestrian,Jumping,team,"AZEVEDO, Luiz Felipe",Men,BRA,Brazil,X,Bronze +Atlanta,1996,Equestrian,Jumping,team,"KURSINSKI, Anne Kindig",Women,USA,United States,X,Silver +Atlanta,1996,Equestrian,Jumping,team,"KIRCHHOFF, Ulrich",Men,GER,Germany,X,Gold +Atlanta,1996,Fencing,Fencing,foil team,"KRZESINSKI, Adam",Men,POL,Poland,M,Silver +Atlanta,1996,Fencing,Fencing,foil team,"SHEVCHENKO, Dmitri",Men,RUS,Russia,M,Gold +Atlanta,1996,Fencing,Fencing,foil team,"GREGORY, Elvis",Men,CUB,Cuba,M,Bronze +Atlanta,1996,Fencing,Fencing,foil team,"CARLESCU BADEA, Laura Gabriela",Women,ROU,Romania,W,Silver +Atlanta,1996,Fencing,Fencing,sabre team,"POZDNYAKOV, Stanislav",Men,RUS,Russia,M,Gold +Atlanta,1996,Fencing,Fencing,épée individual,"TREVEJO, Ivan",Men,CUB,Cuba,M,Silver +Atlanta,1996,Fencing,Fencing,sabre team,"KOVES, Csaba",Men,HUN,Hungary,M,Silver +Atlanta,1996,Fencing,Fencing,épée individual,"SZALAY HORVATHNE, Gyoengyi",Women,HUN,Hungary,W,Bronze +Atlanta,1996,Fencing,Fencing,épée individual,"BARLOIS, Valerie",Women,FRA,France,W,Silver +Atlanta,1996,Fencing,Fencing,foil team,"MAMEDOV, Ilgar",Men,RUS,Russia,M,Gold +Atlanta,1996,Fencing,Fencing,épée team,"BARLOIS, Valerie",Women,FRA,France,W,Gold +Atlanta,1996,Fencing,Fencing,foil individual,"PLUMENAIL, Lionel",Men,FRA,France,M,Silver +Atlanta,1996,Fencing,Fencing,épée team,"CUOMO, Sandro",Men,ITA,Italy,M,Gold +Atlanta,1996,Fencing,Fencing,épée team,"MORESEE-PICHOT, Sophie",Women,FRA,France,W,Gold +Atlanta,1996,Fencing,Fencing,sabre individual,"TOUYA, Damien",Men,FRA,France,M,Bronze +Atlanta,1996,Fencing,Fencing,épée team,"BEKETOV, Aleksandr",Men,RUS,Russia,M,Silver +Atlanta,1996,Fencing,Fencing,foil team,"BORTOLOZZI BORELLA, Francesca",Women,ITA,Italy,W,Gold +Atlanta,1996,Fencing,Fencing,foil individual,"VEZZALI, Valentina",Women,ITA,Italy,W,Silver +Atlanta,1996,Fencing,Fencing,foil individual,"CARLESCU BADEA, Laura Gabriela",Women,ROU,Romania,W,Gold +Atlanta,1996,Fencing,Fencing,foil team,"TRILLINI, Giovanna",Women,ITA,Italy,W,Gold +Atlanta,1996,Fencing,Fencing,sabre team,"SZABO, Bence",Men,HUN,Hungary,M,Silver +Atlanta,1996,Fencing,Fencing,foil team,"PAVLOVICH, Vladislav",Men,RUS,Russia,M,Gold +Atlanta,1996,Fencing,Fencing,épée team,"MAZZONI, Angelo",Men,ITA,Italy,M,Gold +Atlanta,1996,Fencing,Fencing,épée team,"FLESSEL-COLOVIC, Laura",Women,FRA,France,W,Gold +Atlanta,1996,Fencing,Fencing,épée team,"RANDAZZO, Maurizio",Men,ITA,Italy,M,Gold +Atlanta,1996,Fencing,Fencing,foil individual,"PUCCINI, Alessandro",Men,ITA,Italy,M,Gold +Atlanta,1996,Fencing,Fencing,épée team,"ZALAFFI, Margherita",Women,ITA,Italy,W,Silver +Atlanta,1996,Fencing,Fencing,foil team,"BAU, Sabine Christiane",Women,GER,Germany,W,Bronze +Atlanta,1996,Fencing,Fencing,sabre team,"TARANTINO, Luigi",Men,ITA,Italy,M,Bronze +Atlanta,1996,Fencing,Fencing,épée team,"SRECKI, Eric",Men,FRA,France,M,Bronze +Atlanta,1996,Fencing,Fencing,épée team,"AZNAVOURIAN, Karina",Women,RUS,Russia,W,Bronze +Atlanta,1996,Fencing,Fencing,foil team,"KIELPIKOWSKI, Piotr",Men,POL,Poland,M,Silver +Atlanta,1996,Fencing,Fencing,foil team,"FICHTEL-MAURITZ, Anja",Women,GER,Germany,W,Bronze +Atlanta,1996,Fencing,Fencing,sabre individual,"POZDNYAKOV, Stanislav",Men,RUS,Russia,M,Gold +Atlanta,1996,Fencing,Fencing,épée team,"UGA, Elisa",Women,ITA,Italy,W,Silver +Atlanta,1996,Fencing,Fencing,épée team,"KOLOBKOV, Pavel",Men,RUS,Russia,M,Silver +Atlanta,1996,Fencing,Fencing,sabre team,"KIRIYENKO, Grigorii",Men,RUS,Russia,M,Gold +Atlanta,1996,Fencing,Fencing,foil team,"SOBCZAK, Ryszard",Men,POL,Poland,M,Silver +Atlanta,1996,Fencing,Fencing,sabre individual,"CHARIKOV, Serguei",Men,RUS,Russia,M,Silver +Atlanta,1996,Fencing,Fencing,foil team,"VEZZALI, Valentina",Women,ITA,Italy,W,Gold +Atlanta,1996,Fencing,Fencing,épée team,"HENRY, Jean-Michel",Men,FRA,France,M,Bronze +Atlanta,1996,Fencing,Fencing,épée team,"ZAKHAREVITCH, Valeri",Men,RUS,Russia,M,Silver +Atlanta,1996,Fencing,Fencing,sabre team,"NAVARRETE, Jozsef",Men,HUN,Hungary,M,Silver +Atlanta,1996,Fencing,Fencing,foil team,"GARCIA PEREZ, Oscar",Men,CUB,Cuba,M,Bronze +Atlanta,1996,Fencing,Fencing,épée individual,"IMRE, Geza",Men,HUN,Hungary,M,Bronze +Atlanta,1996,Fencing,Fencing,épée individual,"FLESSEL-COLOVIC, Laura",Women,FRA,France,W,Gold +Atlanta,1996,Fencing,Fencing,foil team,"SCARLAT, Roxana",Women,ROU,Romania,W,Silver +Atlanta,1996,Fencing,Fencing,foil team,"TUCKER LEON, Rolando Samuel",Men,CUB,Cuba,M,Bronze +Atlanta,1996,Fencing,Fencing,foil individual,"BOIDIN, Franck",Men,FRA,France,M,Bronze +Atlanta,1996,Fencing,Fencing,foil team,"SZABO-LAZAR, Reka Zsofia",Women,ROU,Romania,W,Silver +Atlanta,1996,Fencing,Fencing,sabre team,"CASERTA, Raffaello",Men,ITA,Italy,M,Bronze +Atlanta,1996,Fencing,Fencing,sabre team,"TERENZI, Tonhi",Men,ITA,Italy,M,Bronze +Atlanta,1996,Fencing,Fencing,épée team,"MAZINA, Mariya",Women,RUS,Russia,W,Bronze +Atlanta,1996,Fencing,Fencing,foil individual,"TRILLINI, Giovanna",Women,ITA,Italy,W,Bronze +Atlanta,1996,Fencing,Fencing,sabre team,"CHARIKOV, Serguei",Men,RUS,Russia,M,Gold +Atlanta,1996,Fencing,Fencing,épée team,"LEROUX, Robert",Men,FRA,France,M,Bronze +Atlanta,1996,Fencing,Fencing,épée team,"GARAYEVA, Yuliya",Women,RUS,Russia,W,Bronze +Atlanta,1996,Fencing,Fencing,épée individual,"BEKETOV, Aleksandr",Men,RUS,Russia,M,Gold +Atlanta,1996,Fencing,Fencing,épée team,"CHIESA, Laura",Women,ITA,Italy,W,Silver +Atlanta,1996,Fencing,Fencing,foil team,"WEBER-KOSZTO, Monika",Women,GER,Germany,W,Bronze +Atlanta,1996,Football,Football,football,LUIZAO,Men,BRA,Brazil,M,Bronze +Atlanta,1996,Football,Football,football,AMARAL,Men,BRA,Brazil,M,Bronze +Atlanta,1996,Football,Football,football,"OLISEH, Sunday",Men,NGR,Nigeria,M,Gold +Atlanta,1996,Football,Football,football,DANRLEI,Men,BRA,Brazil,M,Bronze +Atlanta,1996,Football,Football,football,"VENTURINI, Tisha",Women,USA,United States,W,Gold +Atlanta,1996,Football,Football,football,"GUIARO, RONALDO",Men,BRA,Brazil,M,Bronze +Atlanta,1996,Football,Football,football,"WANG, Liping",Women,CHN,China,W,Silver +Atlanta,1996,Football,Football,football,"LIU, Ying",Women,CHN,China,W,Silver +Atlanta,1996,Football,Football,football,"OKOCHA, Augustine",Men,NGR,Nigeria,M,Gold +Atlanta,1996,Football,Football,football,"ORUMA, Wilson",Men,NGR,Nigeria,M,Gold +Atlanta,1996,Football,Football,football,"OBARAKU, Mobi",Men,NGR,Nigeria,M,Gold +Atlanta,1996,Football,Football,football,"ZHONG, Honglian",Women,CHN,China,W,Silver +Atlanta,1996,Football,Football,football,"ZHAO, Lihong",Women,CHN,China,W,Silver +Atlanta,1996,Football,Football,football,"FRUSTOL, Tone Gunn",Women,NOR,Norway,W,Bronze +Atlanta,1996,Football,Football,football,"SCURRY, Briana",Women,USA,United States,W,Gold +Atlanta,1996,Football,Football,football,"OVERBECK, Carla",Women,USA,United States,W,Gold +Atlanta,1996,Football,Football,football,"MORALES, Hugo",Men,ARG,Argentina,M,Silver +Atlanta,1996,Football,Football,football,"FATUSI, Teslim",Men,NGR,Nigeria,M,Gold +Atlanta,1996,Football,Football,football,FLAVIO CONCEICAO,Men,BRA,Brazil,M,Bronze +Atlanta,1996,Football,Football,football,"CHASTAIN, Brandi",Women,USA,United States,W,Gold +Atlanta,1996,Football,Football,football,"ALMEYDA, Matias",Men,ARG,Argentina,M,Silver +Atlanta,1996,Football,Football,football,"LILLY, Kristine",Women,USA,United States,W,Gold +Atlanta,1996,Football,Football,football,"OBIEKWU, Kingsley",Men,NGR,Nigeria,M,Gold +Atlanta,1996,Football,Football,football,"CARLSEN, Agnete",Women,NOR,Norway,W,Bronze +Atlanta,1996,Football,Football,football,ZE MARIA,Men,BRA,Brazil,M,Bronze +Atlanta,1996,Football,Football,football,"NYMARK ANDERSEN, Nina",Women,NOR,Norway,W,Bronze +Atlanta,1996,Football,Football,football,"AMUNIKE, Emmanuel",Men,NGR,Nigeria,M,Gold +Atlanta,1996,Football,Football,football,"CAVALLERO, Pablo",Men,ARG,Argentina,M,Silver +Atlanta,1996,Football,Football,football,"SHUI, Qingxia",Women,CHN,China,W,Silver +Atlanta,1996,Football,Football,football,"CHAMOT, Jose Antonio",Men,ARG,Argentina,M,Silver +Atlanta,1996,Football,Football,football,"OBAFEMI, Abiodon",Men,NGR,Nigeria,M,Gold +Atlanta,1996,Football,Football,football,"GAO, Hong",Women,CHN,China,W,Silver +Atlanta,1996,Football,Football,football,"AMOKACHI, Daniel",Men,NGR,Nigeria,M,Gold +Atlanta,1996,Football,Football,football,DIDA,Men,BRA,Brazil,M,Bronze +Atlanta,1996,Football,Football,football,"ROBERTS, Tiffany",Women,USA,United States,W,Gold +Atlanta,1996,Football,Football,football,"ORTEGA, Ariel",Men,ARG,Argentina,M,Silver +Atlanta,1996,Football,Football,football,MARCELINHO PAULISTA,Men,BRA,Brazil,M,Bronze +Atlanta,1996,Football,Football,football,"IKPEBA, Victor",Men,NGR,Nigeria,M,Gold +Atlanta,1996,Football,Football,football,"RIISE, Hege",Women,NOR,Norway,W,Bronze +Atlanta,1996,Football,Football,football,"RONALDO, Ronaldo Luis Nazario de LIMA",Men,BRA,Brazil,M,Bronze +Atlanta,1996,Football,Football,football,NARCISO,Men,BRA,Brazil,M,Bronze +Atlanta,1996,Football,Football,football,"KANU, Nwankwo",Men,NGR,Nigeria,M,Gold +Atlanta,1996,Football,Football,football,"LAWAL, Garba",Men,NGR,Nigeria,M,Gold +Atlanta,1996,Football,Football,football,"DOSU, Joseph",Men,NGR,Nigeria,M,Gold +Atlanta,1996,Football,Football,football,"BABAYARO, Celestine",Men,NGR,Nigeria,M,Gold +Atlanta,1996,Football,Football,football,"YU, Hongqi",Women,CHN,China,W,Silver +Atlanta,1996,Football,Football,football,"LIU, Ailing",Women,CHN,China,W,Silver +Atlanta,1996,Football,Football,football,"AYALA, Roberto",Men,ARG,Argentina,M,Silver +Atlanta,1996,Football,Football,football,SAVIO,Men,BRA,Brazil,M,Bronze +Atlanta,1996,Football,Football,football,"BABAYARO, Emmanuel",Men,NGR,Nigeria,M,Gold +Atlanta,1996,Football,Football,football,"MACMILLAN, Shannon",Women,USA,United States,W,Gold +Atlanta,1996,Football,Football,football,"MYKLEBUST, Merete",Women,NOR,Norway,W,Bronze +Atlanta,1996,Football,Football,football,"WILSON, Staci",Women,USA,United States,W,Gold +Atlanta,1996,Football,Football,football,"BEBETO, Jose Roberto",Men,BRA,Brazil,M,Bronze +Atlanta,1996,Football,Football,football,"SENSINI, Roberto",Men,ARG,Argentina,M,Silver +Atlanta,1996,Football,Football,football,"DELGADO, Marcelo",Men,ARG,Argentina,M,Silver +Atlanta,1996,Football,Football,football,"FAWCETT, Joy",Women,USA,United States,W,Gold +Atlanta,1996,Football,Football,football,ANDRE LUIZ,Men,BRA,Brazil,M,Bronze +Atlanta,1996,Football,Football,football,"GALLARDO, Marcelo",Men,ARG,Argentina,M,Silver +Atlanta,1996,Football,Football,football,"SANDAUNE, Brit",Women,NOR,Norway,W,Bronze +Atlanta,1996,Football,Football,football,"AKERS, Michelle",Women,USA,United States,W,Gold +Atlanta,1996,Football,Football,football,"XIE, Huilin",Women,CHN,China,W,Silver +Atlanta,1996,Football,Football,football,"WEST, Taribo",Men,NGR,Nigeria,M,Gold +Atlanta,1996,Football,Football,football,"ESPESETH, Gro",Women,NOR,Norway,W,Bronze +Atlanta,1996,Football,Football,football,ALDAIR,Men,BRA,Brazil,M,Bronze +Atlanta,1996,Football,Football,football,"AARONES, Ann Kristin",Women,NOR,Norway,W,Bronze +Atlanta,1996,Football,Football,football,"CRESPO, Hernan",Men,ARG,Argentina,M,Silver +Atlanta,1996,Football,Football,football,"GABARRA, Carin",Women,USA,United States,W,Gold +Atlanta,1996,Football,Football,football,"SUN, Qingmei",Women,CHN,China,W,Silver +Atlanta,1996,Football,Football,football,"SVENSSON, Tina",Women,NOR,Norway,W,Bronze +Atlanta,1996,Football,Football,football,"HAMM, Mia",Women,USA,United States,W,Gold +Atlanta,1996,Football,Football,football,"FOUDY, Julie",Women,USA,United States,W,Gold +Atlanta,1996,Football,Football,football,"PINEDA, Hector",Men,ARG,Argentina,M,Silver +Atlanta,1996,Football,Football,football,RIVALDO,Men,BRA,Brazil,M,Bronze +Atlanta,1996,Football,Football,football,"PARLOW, Cindy",Women,USA,United States,W,Gold +Atlanta,1996,Football,Football,football,ZE ELIAS,Men,BRA,Brazil,M,Bronze +Atlanta,1996,Football,Football,football,"LOPEZ, Claudio",Men,ARG,Argentina,M,Silver +Atlanta,1996,Football,Football,football,"MILBRETT, Tiffeny",Women,USA,United States,W,Gold +Atlanta,1996,Football,Football,football,"MEDALEN, Linda",Women,NOR,Norway,W,Bronze +Atlanta,1996,Football,Football,football,"UCHE, Okechukwu",Men,NGR,Nigeria,M,Gold +Atlanta,1996,Football,Football,football,"PAZ, Pablo",Men,ARG,Argentina,M,Silver +Atlanta,1996,Football,Football,football,"PETTERSEN, Marianne",Women,NOR,Norway,W,Bronze +Atlanta,1996,Football,Football,football,"TANGERAAS, Trine",Women,NOR,Norway,W,Bronze +Atlanta,1996,Football,Football,football,"HAUGEN, Tone",Women,NOR,Norway,W,Bronze +Atlanta,1996,Football,Football,football,"THUN, Kjersti",Women,NOR,Norway,W,Bronze +Atlanta,1996,Football,Football,football,"WEN, Lirong",Women,CHN,China,W,Silver +Atlanta,1996,Football,Football,football,"BABANGIDA, Tijani",Men,NGR,Nigeria,M,Gold +Atlanta,1996,Football,Football,football,"HARVEY, Mary",Women,USA,United States,W,Gold +Atlanta,1996,Football,Football,football,"WEI, Haiying",Women,CHN,China,W,Silver +Atlanta,1996,Football,Football,football,"SUN, Wen",Women,CHN,China,W,Silver +Atlanta,1996,Football,Football,football,"SIMEONE, Diego",Men,ARG,Argentina,M,Silver +Atlanta,1996,Football,Football,football,JUNINHO,Men,BRA,Brazil,M,Bronze +Atlanta,1996,Football,Football,football,"LOPEZ, Gustavo",Men,ARG,Argentina,M,Silver +Atlanta,1996,Football,Football,football,ROBERTO CARLOS,Men,BRA,Brazil,M,Bronze +Atlanta,1996,Football,Football,football,"SETH, Reidun",Women,NOR,Norway,W,Bronze +Atlanta,1996,Football,Football,football,"ZANETTI, Javier",Men,ARG,Argentina,M,Silver +Atlanta,1996,Football,Football,football,"BASSEDAS, Christian",Men,ARG,Argentina,M,Silver +Atlanta,1996,Football,Football,football,"BOSSIO, Carlos",Men,ARG,Argentina,M,Silver +Atlanta,1996,Football,Football,football,"SHI, Guihong",Women,CHN,China,W,Silver +Atlanta,1996,Football,Football,football,"NORDBY, Bente",Women,NOR,Norway,W,Bronze +Atlanta,1996,Football,Football,football,"CHEN, Yufeng",Women,CHN,China,W,Silver +Atlanta,1996,Football,Football,football,"STOERE, Heidi",Women,NOR,Norway,W,Bronze +Atlanta,1996,Football,Football,football,"FAN, Yunjie",Women,CHN,China,W,Silver +Atlanta,1996,Football,Football,football,"NYMARK ANDERSEN, Anne",Women,NOR,Norway,W,Bronze +Atlanta,1996,Gymnastics,Artistic G.,team competition,"HUANG, Liping",Men,CHN,China,M,Silver +Atlanta,1996,Gymnastics,Artistic G.,individual all-round,"MILOSOVICI, Lavinia Corina",Women,ROU,Romania,W,Bronze +Atlanta,1996,Gymnastics,Artistic G.,horizontal bar,"WECKER, Andreas",Men,GER,Germany,M,Gold +Atlanta,1996,Gymnastics,Artistic G.,uneven bars,"KHORKINA, Svetlana",Women,RUS,Russia,W,Gold +Atlanta,1996,Gymnastics,Artistic G.,team competition,"BORDEN, Amanda",Women,USA,United States,W,Gold +Atlanta,1996,Gymnastics,Artistic G.,horizontal bar,"FAN, Bin",Men,CHN,China,M,Bronze +Atlanta,1996,Gymnastics,Artistic G.,floor exercises,"LI, Xiaosahuang",Men,CHN,China,M,Silver +Atlanta,1996,Gymnastics,Artistic G.,horizontal bar,"NEMOV, Alexei",Men,RUS,Russia,M,Bronze +Atlanta,1996,Gymnastics,Artistic G.,team competition,"KHORKINA, Svetlana",Women,RUS,Russia,W,Silver +Atlanta,1996,Gymnastics,Artistic G.,team competition,"MILOSOVICI, Lavinia Corina",Women,ROU,Romania,W,Bronze +Atlanta,1996,Gymnastics,Artistic G.,team competition,"ZHANG, Jinjing",Men,CHN,China,M,Silver +Atlanta,1996,Gymnastics,Artistic G.,uneven bars,"CHOW, Amy",Women,USA,United States,W,Silver +Atlanta,1996,Gymnastics,Artistic G.,team competition,"KUZNETSOVA, Eugenia",Women,RUS,Russia,W,Silver +Atlanta,1996,Gymnastics,Artistic G.,vault,"SCHERBO, Vitaly",Men,BLR,Belarus,M,Bronze +Atlanta,1996,Gymnastics,Artistic G.,team competition,"GALIYEVA, Rozalia",Women,RUS,Russia,W,Silver +Atlanta,1996,Gymnastics,Artistic G.,team competition,"MOCEANU, Dominique",Women,USA,United States,W,Gold +Atlanta,1996,Gymnastics,Artistic G.,floor exercises,"AMANAR, Simona",Women,ROU,Romania,W,Silver +Atlanta,1996,Gymnastics,Artistic G.,individual all-round,"AMANAR, Simona",Women,ROU,Romania,W,Bronze +Atlanta,1996,Gymnastics,Artistic G.,rings,"CSOLLANY, Szilveszter",Men,HUN,Hungary,M,Silver +Atlanta,1996,Gymnastics,Artistic G.,pommel horse,"LI, Donghua",Men,SUI,Switzerland,M,Gold +Atlanta,1996,Gymnastics,Artistic G.,team competition,"AMANAR, Simona",Women,ROU,Romania,W,Bronze +Atlanta,1996,Gymnastics,Artistic G.,pommel horse,"URZICA, Marius Daniel",Men,ROU,Romania,M,Silver +Atlanta,1996,Gymnastics,Artistic G.,team competition,"MILLER, Shannon",Women,USA,United States,W,Gold +Atlanta,1996,Gymnastics,Artistic G.,uneven bars,"BI, Wenjiing",Women,CHN,China,W,Silver +Atlanta,1996,Gymnastics,Artistic G.,team competition,"LI, Xiaosahuang",Men,CHN,China,M,Silver +Atlanta,1996,Gymnastics,Artistic G.,horizontal bar,"DOUNEV, Krassimir Nikolaev",Men,BUL,Bulgaria,M,Silver +Atlanta,1996,Gymnastics,Artistic G.,balance beam,"MILLER, Shannon",Women,USA,United States,W,Gold +Atlanta,1996,Gymnastics,Artistic G.,vault,"NEMOV, Alexei",Men,RUS,Russia,M,Gold +Atlanta,1996,Gymnastics,Artistic G.,team competition,"SHARIPOV, Roustam",Men,UKR,Ukraine,M,Bronze +Atlanta,1996,Gymnastics,Artistic G.,team competition,"PODGORNYI, Evgueni",Men,RUS,Russia,M,Gold +Atlanta,1996,Gymnastics,Artistic G.,pommel horse,"NEMOV, Alexei",Men,RUS,Russia,M,Bronze +Atlanta,1996,Gymnastics,Artistic G.,team competition,"LOAIES, Ionela",Women,ROU,Romania,W,Bronze +Atlanta,1996,Gymnastics,Artistic G.,team competition,"GOGEAN, Gina Elena",Women,ROU,Romania,W,Bronze +Atlanta,1996,Gymnastics,Artistic G.,floor exercises,"PODKOPAYEVA, Lilia",Women,UKR,Ukraine,W,Gold +Atlanta,1996,Gymnastics,Artistic G.,parallel bars,"LYNCH, Jair",Men,USA,United States,M,Silver +Atlanta,1996,Gymnastics,Artistic G.,team competition,"CHOW, Amy",Women,USA,United States,W,Gold +Atlanta,1996,Gymnastics,Artistic G.,team competition,"MISUTIN, Grigori",Men,UKR,Ukraine,M,Bronze +Atlanta,1996,Gymnastics,Artistic G.,team competition,"SVETLICHNYI, Alexandre",Men,UKR,Ukraine,M,Bronze +Atlanta,1996,Gymnastics,Artistic G.,floor exercises,"DAWES, Dominique",Women,USA,United States,W,Bronze +Atlanta,1996,Gymnastics,Artistic G.,individual all-round,"GOGEAN, Gina Elena",Women,ROU,Romania,W,Silver +Atlanta,1996,Gymnastics,Artistic G.,team competition,"TUGURLAN, Mirela",Women,ROU,Romania,W,Bronze +Atlanta,1996,Gymnastics,Artistic G.,balance beam,"PODKOPAYEVA, Lilia",Women,UKR,Ukraine,W,Silver +Atlanta,1996,Gymnastics,Artistic G.,team competition,"CHARKOV, Sergei",Men,RUS,Russia,M,Gold +Atlanta,1996,Gymnastics,Artistic G.,parallel bars,"SCHERBO, Vitaly",Men,BLR,Belarus,M,Bronze +Atlanta,1996,Gymnastics,Artistic G.,team competition,"VASILENKO, Dmitri",Men,RUS,Russia,M,Gold +Atlanta,1996,Gymnastics,Artistic G.,team competition,"YERMAKOV, Yuri",Men,UKR,Ukraine,M,Bronze +Atlanta,1996,Gymnastics,Artistic G.,team competition,"FAN, Bin",Men,CHN,China,M,Silver +Atlanta,1996,Gymnastics,Artistic G.,team competition,"FAN, Hongbin",Men,CHN,China,M,Silver +Atlanta,1996,Gymnastics,Artistic G.,team competition,"HUANG, Huadong",Men,CHN,China,M,Silver +Atlanta,1996,Gymnastics,Artistic G.,team competition,"PHELPS, Jaycie",Women,USA,United States,W,Gold +Atlanta,1996,Gymnastics,Artistic G.,team competition,"VOROPAEV, Aleksei",Men,RUS,Russia,M,Gold +Atlanta,1996,Gymnastics,Artistic G.,vault,"MO, Huilan",Women,CHN,China,W,Silver +Atlanta,1996,Gymnastics,Artistic G.,team competition,"DAWES, Dominique",Women,USA,United States,W,Gold +Atlanta,1996,Gymnastics,Artistic G.,team competition,"KOROBCHINSKI, Igor",Men,UKR,Ukraine,M,Bronze +Atlanta,1996,Gymnastics,Artistic G.,individual all-round,"LI, Xiaosahuang",Men,CHN,China,M,Gold +Atlanta,1996,Gymnastics,Artistic G.,vault,"GOGEAN, Gina Elena",Women,ROU,Romania,W,Bronze +Atlanta,1996,Gymnastics,Artistic G.,team competition,"SHAMENKO, Vladimir",Men,UKR,Ukraine,M,Bronze +Atlanta,1996,Gymnastics,Artistic G.,individual all-round,"NEMOV, Alexei",Men,RUS,Russia,M,Silver +Atlanta,1996,Gymnastics,Artistic G.,vault,"YEO, Hong-Chul",Men,KOR,"Korea, South",M,Silver +Atlanta,1996,Gymnastics,Artistic G.,team competition,"TRUSH, Dmitriy",Men,RUS,Russia,M,Gold +Atlanta,1996,Gymnastics,Artistic G.,team competition,"KOCHETKOVA, Dina",Women,RUS,Russia,W,Silver +Atlanta,1996,Gymnastics,Artistic G.,rings,"CHECHI, Juri",Men,ITA,Italy,M,Gold +Atlanta,1996,Gymnastics,Artistic G.,team competition,"NEMOV, Alexei",Men,RUS,Russia,M,Gold +Atlanta,1996,Gymnastics,Artistic G.,team competition,"LIAPINA, Oksana",Women,RUS,Russia,W,Silver +Atlanta,1996,Gymnastics,Artistic G.,floor exercises,"MELISSANIDIS, Ioannis",Men,GRE,Greece,M,Gold +Atlanta,1996,Gymnastics,Artistic G.,rings,"BURINCA, Dan",Men,ROU,Romania,M,Silver +Atlanta,1996,Gymnastics,Artistic G.,team competition,"KOSIAK, Oleg",Men,UKR,Ukraine,M,Bronze +Atlanta,1996,Gymnastics,Artistic G.,floor exercises,"NEMOV, Alexei",Men,RUS,Russia,M,Bronze +Atlanta,1996,Gymnastics,Artistic G.,team competition,"GROSHEVA, Elena",Women,RUS,Russia,W,Silver +Atlanta,1996,Gymnastics,Artistic G.,team competition,"STRUG, Kerri",Women,USA,United States,W,Gold +Atlanta,1996,Gymnastics,Artistic G.,team competition,"SHEN, Jian",Men,CHN,China,M,Silver +Atlanta,1996,Gymnastics,Artistic G.,horizontal bar,"SCHERBO, Vitaly",Men,BLR,Belarus,M,Bronze +Atlanta,1996,Gymnastics,Artistic G.,team competition,"DOLGOPOLOVA, Elena",Women,RUS,Russia,W,Silver +Atlanta,1996,Gymnastics,Artistic G.,team competition,"MARINESCU, Alexandra",Women,ROU,Romania,W,Bronze +Atlanta,1996,Gymnastics,Artistic G.,individual all-round,"PODKOPAYEVA, Lilia",Women,UKR,Ukraine,W,Gold +Atlanta,1996,Gymnastics,Artistic G.,balance beam,"GOGEAN, Gina Elena",Women,ROU,Romania,W,Bronze +Atlanta,1996,Gymnastics,Artistic G.,vault,"AMANAR, Simona",Women,ROU,Romania,W,Gold +Atlanta,1996,Gymnastics,Artistic G.,individual all-round,"SCHERBO, Vitaly",Men,BLR,Belarus,M,Bronze +Atlanta,1996,Gymnastics,Artistic G.,team competition,"KRUKOV, Nikolay",Men,RUS,Russia,M,Gold +Atlanta,1996,Gymnastics,Artistic G.,parallel bars,"SHARIPOV, Roustam",Men,UKR,Ukraine,M,Gold +Atlanta,1996,Gymnastics,Rhythmic G.,group competition,"DZIOUBA, Irina",Women,RUS,Russia,W,Bronze +Atlanta,1996,Gymnastics,Rhythmic G.,group competition,"MARTINEZ, Estibaliz",Women,ESP,Spain,W,Gold +Atlanta,1996,Gymnastics,Rhythmic G.,group competition,"BALDO, Marta",Women,ESP,Spain,W,Gold +Atlanta,1996,Gymnastics,Rhythmic G.,group competition,"CHTYRENKO, Olga",Women,RUS,Russia,W,Bronze +Atlanta,1996,Gymnastics,Rhythmic G.,group competition,"BOTCHKAREVA, Evguenia",Women,RUS,Russia,W,Bronze +Atlanta,1996,Gymnastics,Rhythmic G.,group competition,"VATACHKA, Vjara",Women,BUL,Bulgaria,W,Silver +Atlanta,1996,Gymnastics,Rhythmic G.,group competition,"IOUCHKOVA, Angelina",Women,RUS,Russia,W,Bronze +Atlanta,1996,Gymnastics,Rhythmic G.,individual all-round,"SEREBRYANSKAYA, Ekaterina",Women,UKR,Ukraine,W,Gold +Atlanta,1996,Gymnastics,Rhythmic G.,group competition,"TALEVA, Ivelina",Women,BUL,Bulgaria,W,Silver +Atlanta,1996,Gymnastics,Rhythmic G.,group competition,"TABAKOVA, Maja",Women,BUL,Bulgaria,W,Silver +Atlanta,1996,Gymnastics,Rhythmic G.,group competition,"KRIVOCHEI, Elena",Women,RUS,Russia,W,Bronze +Atlanta,1996,Gymnastics,Rhythmic G.,group competition,"KEVLIAN, Valentina",Women,BUL,Bulgaria,W,Silver +Atlanta,1996,Gymnastics,Rhythmic G.,group competition,"KOLEVA, Maria",Women,BUL,Bulgaria,W,Silver +Atlanta,1996,Gymnastics,Rhythmic G.,group competition,"GURENDEZ, Lorena",Women,ESP,Spain,W,Gold +Atlanta,1996,Gymnastics,Rhythmic G.,group competition,"GIMENEZ, Estela",Women,ESP,Spain,W,Gold +Atlanta,1996,Gymnastics,Rhythmic G.,group competition,"DELTCHEVA, Ina",Women,BUL,Bulgaria,W,Silver +Atlanta,1996,Gymnastics,Rhythmic G.,individual all-round,"VITRICHENKO, Elena",Women,UKR,Ukraine,W,Bronze +Atlanta,1996,Gymnastics,Rhythmic G.,group competition,"LAMARCA, Tania",Women,ESP,Spain,W,Gold +Atlanta,1996,Gymnastics,Rhythmic G.,individual all-round,"BATYRCHINA, Ianina",Women,RUS,Russia,W,Silver +Atlanta,1996,Gymnastics,Rhythmic G.,group competition,"IVANOVA, Ioulia",Women,RUS,Russia,W,Bronze +Atlanta,1996,Gymnastics,Rhythmic G.,group competition,"CABANILLAS, Nuria",Women,ESP,Spain,W,Gold +Atlanta,1996,Handball,Handball,handball,"DOUICHEBAEV, Talant",Men,ESP,Spain,M,Bronze +Atlanta,1996,Handball,Handball,handball,"KOCSIS, Erzsebet",Women,HUN,Hungary,W,Bronze +Atlanta,1996,Handball,Handball,handball,"URDANGARIN, Ignacio",Men,ESP,Spain,M,Bronze +Atlanta,1996,Handball,Handball,handball,"PUC, Iztok",Men,CRO,Croatia,M,Gold +Atlanta,1996,Handball,Handball,handball,"SZILAGYI, Katalin",Women,HUN,Hungary,W,Bronze +Atlanta,1996,Handball,Handball,handball,"OLSSON, Staffan",Men,SWE,Sweden,M,Silver +Atlanta,1996,Handball,Handball,handball,"HOFFMANN, Beata",Women,HUN,Hungary,W,Bronze +Atlanta,1996,Handball,Handball,handball,"LIM, O Kyeong",Women,KOR,"Korea, South",W,Silver +Atlanta,1996,Handball,Handball,handball,"SUNESEN, Gitte",Women,DEN,Denmark,W,Gold +Atlanta,1996,Handball,Handball,handball,"TANDERUP, Dorthe",Women,DEN,Denmark,W,Gold +Atlanta,1996,Handball,Handball,handball,"URDIALES, Alberto",Men,ESP,Spain,M,Bronze +Atlanta,1996,Handball,Handball,handball,"ERDOS, Eva",Women,HUN,Hungary,W,Bronze +Atlanta,1996,Handball,Handball,handball,"KIM, Cheong-Shim",Women,KOR,"Korea, South",W,Silver +Atlanta,1996,Handball,Handball,handball,"ASTRUP, Heidi",Women,DEN,Denmark,W,Gold +Atlanta,1996,Handball,Handball,handball,"FARKAS, Andrea",Women,HUN,Hungary,W,Bronze +Atlanta,1996,Handball,Handball,handball,"KIM, Eun-Mi",Women,KOR,"Korea, South",W,Silver +Atlanta,1996,Handball,Handball,handball,"NUNEZ, Jordi",Men,ESP,Spain,M,Bronze +Atlanta,1996,Handball,Handball,handball,"NAGY, Aniko",Women,HUN,Hungary,W,Bronze +Atlanta,1996,Handball,Handball,handball,"PARK, Jeong-Lim",Women,KOR,"Korea, South",W,Silver +Atlanta,1996,Handball,Handball,handball,"KOLLING, Janne",Women,DEN,Denmark,W,Gold +Atlanta,1996,Handball,Handball,handball,"ANDERSEN, Kristine",Women,DEN,Denmark,W,Gold +Atlanta,1996,Handball,Handball,handball,"HOMBRADOS, Jose",Men,ESP,Spain,M,Bronze +Atlanta,1996,Handball,Handball,handball,"KANTOR, Aniko",Women,HUN,Hungary,W,Bronze +Atlanta,1996,Handball,Handball,handball,"HOFFMAN, Anette",Women,DEN,Denmark,W,Gold +Atlanta,1996,Handball,Handball,handball,"CAVAR, Patrik",Men,CRO,Croatia,M,Gold +Atlanta,1996,Handball,Handball,handball,"MIKULIC, Zoran",Men,CRO,Croatia,M,Gold +Atlanta,1996,Handball,Handball,handball,"KWAG, Hye-Jeong",Women,KOR,"Korea, South",W,Silver +Atlanta,1996,Handball,Handball,handball,"OLSSON, Mats",Men,SWE,Sweden,M,Silver +Atlanta,1996,Handball,Handball,handball,"SIVERTSSON, Thomas",Men,SWE,Sweden,M,Silver +Atlanta,1996,Handball,Handball,handball,"LOSERT, Venio",Men,CRO,Croatia,M,Gold +Atlanta,1996,Handball,Handball,handball,"PETTERSSON, Johan",Men,SWE,Sweden,M,Silver +Atlanta,1996,Handball,Handball,handball,"OH, Seongok",Women,KOR,"Korea, South",W,Silver +Atlanta,1996,Handball,Handball,handball,"GONZALEZ, Raul",Men,ESP,Spain,M,Bronze +Atlanta,1996,Handball,Handball,handball,"HANSEN, Anja",Women,DEN,Denmark,W,Gold +Atlanta,1996,Handball,Handball,handball,"CHO, Eun-Hee",Women,KOR,"Korea, South",W,Silver +Atlanta,1996,Handball,Handball,handball,"MADSEN, Gitte",Women,DEN,Denmark,W,Gold +Atlanta,1996,Handball,Handball,handball,"TOTH, Beatrix",Women,HUN,Hungary,W,Bronze +Atlanta,1996,Handball,Handball,handball,"LEE, Sang-Eun",Women,KOR,"Korea, South",W,Silver +Atlanta,1996,Handball,Handball,handball,"KJAERGAARD, Tonje",Women,DEN,Denmark,W,Gold +Atlanta,1996,Handball,Handball,handball,"LINDGREN, Ola",Men,SWE,Sweden,M,Silver +Atlanta,1996,Handball,Handball,handball,"LOFGREN, Stefan",Men,SWE,Sweden,M,Silver +Atlanta,1996,Handball,Handball,handball,"WISLANDER, Magnus",Men,SWE,Sweden,M,Silver +Atlanta,1996,Handball,Handball,handball,"MATOSEVIC, Valter",Men,CRO,Croatia,M,Gold +Atlanta,1996,Handball,Handball,handball,"KIM, Mi-Sim",Women,KOR,"Korea, South",W,Silver +Atlanta,1996,Handball,Handball,handball,"ETXABURU, Aitor",Men,ESP,Spain,M,Bronze +Atlanta,1996,Handball,Handball,handball,"NEMETH, Helga",Women,HUN,Hungary,W,Bronze +Atlanta,1996,Handball,Handball,handball,"NACINOVIC, Alvaro",Men,CRO,Croatia,M,Gold +Atlanta,1996,Handball,Handball,handball,"ANDERSEN, Anja Jul",Women,DEN,Denmark,W,Gold +Atlanta,1996,Handball,Handball,handball,"RANTALA, Lene",Women,DEN,Denmark,W,Gold +Atlanta,1996,Handball,Handball,handball,"MATEFI, Eszter",Women,HUN,Hungary,W,Bronze +Atlanta,1996,Handball,Handball,handball,"JELCIC, Vladimir",Men,CRO,Croatia,M,Gold +Atlanta,1996,Handball,Handball,handball,"KLJAIC, Nenad",Men,CRO,Croatia,M,Gold +Atlanta,1996,Handball,Handball,handball,"GUDELJ, Bruno",Men,CRO,Croatia,M,Gold +Atlanta,1996,Handball,Handball,handball,"MATYAS, Auguszta",Women,HUN,Hungary,W,Bronze +Atlanta,1996,Handball,Handball,handball,"PADAR, Ildiko",Women,HUN,Hungary,W,Bronze +Atlanta,1996,Handball,Handball,handball,"JOVIC, Bozidar",Men,CRO,Croatia,M,Gold +Atlanta,1996,Handball,Handball,handball,"LOZANO, Demetrio",Men,ESP,Spain,M,Bronze +Atlanta,1996,Handball,Handball,handball,"OLALLA, Jesus",Men,ESP,Spain,M,Bronze +Atlanta,1996,Handball,Handball,handball,"FERNANDEZ, Jesus",Men,ESP,Spain,M,Bronze +Atlanta,1996,Handball,Handball,handball,"FLORMAN, Marianne",Women,DEN,Denmark,W,Gold +Atlanta,1996,Handball,Handball,handball,"GARRALDA, Mateo",Men,ESP,Spain,M,Bronze +Atlanta,1996,Handball,Handball,handball,"CARLEN, Per",Men,SWE,Sweden,M,Silver +Atlanta,1996,Handball,Handball,handball,"GUIJOSA, Rafael",Men,ESP,Spain,M,Bronze +Atlanta,1996,Handball,Handball,handball,"ANDERSSON, Magnus",Men,SWE,Sweden,M,Silver +Atlanta,1996,Handball,Handball,handball,"LARSSON, Andreas",Men,SWE,Sweden,M,Silver +Atlanta,1996,Handball,Handball,handball,"FRANDESJO, Martin",Men,SWE,Sweden,M,Silver +Atlanta,1996,Handball,Handball,handball,"HAN, Sun-Hee",Women,KOR,"Korea, South",W,Silver +Atlanta,1996,Handball,Handball,handball,"MEKSZ, Aniko",Women,HUN,Hungary,W,Bronze +Atlanta,1996,Handball,Handball,handball,"THORSSON, Pierre",Men,SWE,Sweden,M,Silver +Atlanta,1996,Handball,Handball,handball,"FORT MAURI, Jaume",Men,ESP,Spain,M,Bronze +Atlanta,1996,Handball,Handball,handball,"SUJSTER, Vladimir",Men,CRO,Croatia,M,Gold +Atlanta,1996,Handball,Handball,handball,"SVENSSON, Tomas",Men,SWE,Sweden,M,Silver +Atlanta,1996,Handball,Handball,handball,"KOKENY, Beatrix",Women,HUN,Hungary,W,Bronze +Atlanta,1996,Handball,Handball,handball,"ANDERSSON, Robert",Men,SWE,Sweden,M,Silver +Atlanta,1996,Handball,Handball,handball,"HERNANDEZ, Fernando",Men,ESP,Spain,M,Bronze +Atlanta,1996,Handball,Handball,handball,"HUH, Soonyoung",Women,KOR,"Korea, South",W,Silver +Atlanta,1996,Handball,Handball,handball,"HAJAS, Erik",Men,SWE,Sweden,M,Silver +Atlanta,1996,Handball,Handball,handball,"LAURITSEN, Susanne",Women,DEN,Denmark,W,Gold +Atlanta,1996,Handball,Handball,handball,"HEDIN, Robert",Men,SWE,Sweden,M,Silver +Atlanta,1996,Handball,Handball,handball,"PERKOVAC, Goran",Men,CRO,Croatia,M,Gold +Atlanta,1996,Handball,Handball,handball,"PEREZ, Juan",Men,ESP,Spain,M,Bronze +Atlanta,1996,Handball,Handball,handball,"BOTTZAU, Tina",Women,DEN,Denmark,W,Gold +Atlanta,1996,Handball,Handball,handball,"ESQUER, Salvador",Men,ESP,Spain,M,Bronze +Atlanta,1996,Handball,Handball,handball,"GOLUZA, Slavko",Men,CRO,Croatia,M,Gold +Atlanta,1996,Handball,Handball,handball,"KIM, Rang",Women,KOR,"Korea, South",W,Silver +Atlanta,1996,Handball,Handball,handball,"SZANTO, Anna",Women,HUN,Hungary,W,Bronze +Atlanta,1996,Handball,Handball,handball,"FRANKOVIC, Valner",Men,CRO,Croatia,M,Gold +Atlanta,1996,Handball,Handball,handball,"HONG, Jeong-Ho",Women,KOR,"Korea, South",W,Silver +Atlanta,1996,Handball,Handball,handball,"SITI, Beata",Women,HUN,Hungary,W,Bronze +Atlanta,1996,Handball,Handball,handball,"SARACEVIC, Zlatko",Men,CRO,Croatia,M,Gold +Atlanta,1996,Handball,Handball,handball,"ANDERSEN, Camilla",Women,DEN,Denmark,W,Gold +Atlanta,1996,Handball,Handball,handball,"MOON, Hyang-Ja",Women,KOR,"Korea, South",W,Silver +Atlanta,1996,Handball,Handball,handball,"HAMANN, Conny",Women,DEN,Denmark,W,Gold +Atlanta,1996,Handball,Handball,handball,"SMAJLAGIC, Irfan",Men,CRO,Croatia,M,Gold +Atlanta,1996,Handball,Handball,handball,"KIM, Jeong-Mi",Women,KOR,"Korea, South",W,Silver +Atlanta,1996,Handball,Handball,handball,"OH, Yong Ran",Women,KOR,"Korea, South",W,Silver +Atlanta,1996,Hockey,Hockey,hockey,"LOMANS, Bram",Men,NED,Netherlands,M,Gold +Atlanta,1996,Hockey,Hockey,hockey,"ESCUDE TORRENTE, Xavier",Men,ESP,Spain,M,Silver +Atlanta,1996,Hockey,Hockey,hockey,"JIN, Deok San",Women,KOR,"Korea, South",W,Silver +Atlanta,1996,Hockey,Hockey,hockey,"VAN DER WIELEN, Suzan",Women,NED,Netherlands,W,Bronze +Atlanta,1996,Hockey,Hockey,hockey,"LEWIN, Jeannette",Women,NED,Netherlands,W,Bronze +Atlanta,1996,Hockey,Hockey,hockey,"TOXOPEUS, Jacqueline",Women,NED,Netherlands,W,Bronze +Atlanta,1996,Hockey,Hockey,hockey,"JANSEN, Franciscus Ronaldus Maria",Men,NED,Netherlands,M,Gold +Atlanta,1996,Hockey,Hockey,hockey,"DE NOOIJER, Teun",Men,NED,Netherlands,M,Gold +Atlanta,1996,Hockey,Hockey,hockey,"CARRUTHERS, Stuart",Men,AUS,Australia,M,Bronze +Atlanta,1996,Hockey,Hockey,hockey,"VOGELS, Guus",Men,NED,Netherlands,M,Gold +Atlanta,1996,Hockey,Hockey,hockey,"DELISSEN, Marc",Men,NED,Netherlands,M,Gold +Atlanta,1996,Hockey,Hockey,hockey,"KOWN, Soo-Hyun",Women,KOR,"Korea, South",W,Silver +Atlanta,1996,Hockey,Hockey,hockey,"HAWKES, Rechelle",Women,AUS,Australia,W,Gold +Atlanta,1996,Hockey,Hockey,hockey,"VAN WIJK, Remco",Men,NED,Netherlands,M,Gold +Atlanta,1996,Hockey,Hockey,hockey,"DREHER, Lachlan",Men,AUS,Australia,M,Bronze +Atlanta,1996,Hockey,Hockey,hockey,"LIM, Jeong-Sook",Women,KOR,"Korea, South",W,Silver +Atlanta,1996,Hockey,Hockey,hockey,"DOBSON, Louise",Women,AUS,Australia,W,Gold +Atlanta,1996,Hockey,Hockey,hockey,"VAN DEN BOOGAARD, Dillianne",Women,NED,Netherlands,W,Bronze +Atlanta,1996,Hockey,Hockey,hockey,"THATE, Carole",Women,NED,Netherlands,W,Bronze +Atlanta,1996,Hockey,Hockey,hockey,"SPROULE, Daniel",Men,AUS,Australia,M,Bronze +Atlanta,1996,Hockey,Hockey,hockey,"GARCIA MAURINO, Juantxo",Men,ESP,Spain,M,Silver +Atlanta,1996,Hockey,Hockey,hockey,"PEREIRA, Jacqueline Margaret",Women,AUS,Australia,W,Gold +Atlanta,1996,Hockey,Hockey,hockey,"USOZ, Pablo",Men,ESP,Spain,M,Silver +Atlanta,1996,Hockey,Hockey,hockey,"VAN DE KIEFT, Fleur",Women,NED,Netherlands,W,Bronze +Atlanta,1996,Hockey,Hockey,hockey,"SMITH, Matthew",Men,AUS,Australia,M,Bronze +Atlanta,1996,Hockey,Hockey,hockey,"ANDREWS, Michelle",Women,AUS,Australia,W,Gold +Atlanta,1996,Hockey,Hockey,hockey,"ELMER, Lachlan",Men,AUS,Australia,M,Bronze +Atlanta,1996,Hockey,Hockey,hockey,"TOOTH, Liane Marianne",Women,AUS,Australia,W,Gold +Atlanta,1996,Hockey,Hockey,hockey,"ARNAU, Jordi",Men,ESP,Spain,M,Silver +Atlanta,1996,Hockey,Hockey,hockey,"SALA, Ramon",Men,ESP,Spain,M,Silver +Atlanta,1996,Hockey,Hockey,hockey,"DUYSTER, Willemijn",Women,NED,Netherlands,W,Bronze +Atlanta,1996,Hockey,Hockey,hockey,"LEE, Eun-Young",Women,KOR,"Korea, South",W,Silver +Atlanta,1996,Hockey,Hockey,hockey,"HOLSBOER, Eleonoor Wendeline",Women,NED,Netherlands,W,Bronze +Atlanta,1996,Hockey,Hockey,hockey,"CRUCQ, Maurits",Men,NED,Netherlands,M,Gold +Atlanta,1996,Hockey,Hockey,hockey,"BOVELANDER, Floris Jan",Men,NED,Netherlands,M,Gold +Atlanta,1996,Hockey,Hockey,hockey,"JAZET, Erik",Men,NED,Netherlands,M,Gold +Atlanta,1996,Hockey,Hockey,hockey,"DAVIES, Stephen",Men,AUS,Australia,M,Bronze +Atlanta,1996,Hockey,Hockey,hockey,"DE RUITER, Wietske",Women,NED,Netherlands,W,Bronze +Atlanta,1996,Hockey,Hockey,hockey,"FARRELL, Renita",Women,AUS,Australia,W,Gold +Atlanta,1996,Hockey,Hockey,hockey,"BARRENA, Oscar",Men,ESP,Spain,M,Silver +Atlanta,1996,Hockey,Hockey,hockey,"GARARD, Brendan",Men,AUS,Australia,M,Bronze +Atlanta,1996,Hockey,Hockey,hockey,"DE HEIJ, Stella",Women,NED,Netherlands,W,Bronze +Atlanta,1996,Hockey,Hockey,hockey,"DILETTI, Damon",Men,AUS,Australia,M,Bronze +Atlanta,1996,Hockey,Hockey,hockey,"MALGOSA, Joaquin",Men,ESP,Spain,M,Silver +Atlanta,1996,Hockey,Hockey,hockey,"JUFRESA, Ramon",Men,ESP,Spain,M,Silver +Atlanta,1996,Hockey,Hockey,hockey,"WOO, Hyun-Jung",Women,KOR,"Korea, South",W,Silver +Atlanta,1996,Hockey,Hockey,hockey,"PERIS-KNEEBONE, Nova",Women,AUS,Australia,W,Gold +Atlanta,1996,Hockey,Hockey,hockey,"GONZALEZ, Antonio",Men,ESP,Spain,M,Silver +Atlanta,1996,Hockey,Hockey,hockey,"OH, Seung-Shin",Women,KOR,"Korea, South",W,Silver +Atlanta,1996,Hockey,Hockey,hockey,"KLEIN GEBBINK, Leo",Men,NED,Netherlands,M,Gold +Atlanta,1996,Hockey,Hockey,hockey,"ANNAN, Alyson Regina",Women,AUS,Australia,W,Gold +Atlanta,1996,Hockey,Hockey,hockey,"AMAT, Jaime",Men,ESP,Spain,M,Silver +Atlanta,1996,Hockey,Hockey,hockey,"DELMEE, Jeroen",Men,NED,Netherlands,M,Gold +Atlanta,1996,Hockey,Hockey,hockey,"ARNAU, Xavi",Men,ESP,Spain,M,Silver +Atlanta,1996,Hockey,Hockey,hockey,"TEEUWEN, Josepha",Women,NED,Netherlands,W,Bronze +Atlanta,1996,Hockey,Hockey,hockey,"VAN MEER, Tycho",Men,NED,Netherlands,M,Gold +Atlanta,1996,Hockey,Hockey,hockey,"LEWIS, Paul Snowden",Men,AUS,Australia,M,Bronze +Atlanta,1996,Hockey,Hockey,hockey,"COBOS, Ignacio",Men,ESP,Spain,M,Silver +Atlanta,1996,Hockey,Hockey,hockey,"DINARES, Juan",Men,ESP,Spain,M,Silver +Atlanta,1996,Hockey,Hockey,hockey,"STARRE, Katie",Women,AUS,Australia,W,Gold +Atlanta,1996,Hockey,Hockey,hockey,"VAN PELT, Wouter",Men,NED,Netherlands,M,Gold +Atlanta,1996,Hockey,Hockey,hockey,"LEE, Eun Kyung",Women,KOR,"Korea, South",W,Silver +Atlanta,1996,Hockey,Hockey,hockey,"KWON, Chang Sook",Women,KOR,"Korea, South",W,Silver +Atlanta,1996,Hockey,Hockey,hockey,"ESCARRE, Juan",Men,ESP,Spain,M,Silver +Atlanta,1996,Hockey,Hockey,hockey,"STACEY, Jay Jason",Men,AUS,Australia,M,Bronze +Atlanta,1996,Hockey,Hockey,hockey,"KOOLEN, Nicole",Women,NED,Netherlands,W,Bronze +Atlanta,1996,Hockey,Hockey,hockey,"SMITH, Grant",Men,AUS,Australia,M,Bronze +Atlanta,1996,Hockey,Hockey,hockey,"POWELL, Katrina",Women,AUS,Australia,W,Gold +Atlanta,1996,Hockey,Hockey,hockey,"CHOPPY, Baeden",Men,AUS,Australia,M,Bronze +Atlanta,1996,Hockey,Hockey,hockey,"PUJOL, Victor",Men,ESP,Spain,M,Silver +Atlanta,1996,Hockey,Hockey,hockey,"MORRIS, Jenny",Women,AUS,Australia,W,Gold +Atlanta,1996,Hockey,Hockey,hockey,"MARSDEN, Karen",Women,AUS,Australia,W,Gold +Atlanta,1996,Hockey,Hockey,hockey,"WARK, Kenneth",Men,AUS,Australia,M,Bronze +Atlanta,1996,Hockey,Hockey,hockey,"VAN DEN HONERT, Taco",Men,NED,Netherlands,M,Gold +Atlanta,1996,Hockey,Hockey,hockey,"JEON, Young-Sun",Women,KOR,"Korea, South",W,Silver +Atlanta,1996,Hockey,Hockey,hockey,"CHOI, Mi-Soon",Women,KOR,"Korea, South",W,Silver +Atlanta,1996,Hockey,Hockey,hockey,"YORK, Michael",Men,AUS,Australia,M,Bronze +Atlanta,1996,Hockey,Hockey,hockey,"DONNERS, Wilhelmina",Women,NED,Netherlands,W,Bronze +Atlanta,1996,Hockey,Hockey,hockey,"MAITLAND, Clover",Women,AUS,Australia,W,Gold +Atlanta,1996,Hockey,Hockey,hockey,"CHOI, Eun-Kyung",Women,KOR,"Korea, South",W,Silver +Atlanta,1996,Hockey,Hockey,hockey,"ROCHE, Danni",Women,AUS,Australia,W,Gold +Atlanta,1996,Hockey,Hockey,hockey,"STEENBERGHE, Florentine",Women,NED,Netherlands,W,Bronze +Atlanta,1996,Hockey,Hockey,hockey,"BRINKMAN, Jacques",Men,NED,Netherlands,M,Gold +Atlanta,1996,Hockey,Hockey,hockey,"HASLAM, Juliet",Women,AUS,Australia,W,Gold +Atlanta,1996,Hockey,Hockey,hockey,"HAGER, Marcus",Men,AUS,Australia,M,Bronze +Atlanta,1996,Hockey,Hockey,hockey,"PLESMAN, Suzanne",Women,NED,Netherlands,W,Bronze +Atlanta,1996,Hockey,Hockey,hockey,"CHANG, Eun-Jung",Women,KOR,"Korea, South",W,Silver +Atlanta,1996,Hockey,Hockey,hockey,"GAUDOIN, Paul",Men,AUS,Australia,M,Bronze +Atlanta,1996,Hockey,Hockey,hockey,"AMAT, Pablo Pol",Men,ESP,Spain,M,Silver +Atlanta,1996,Hockey,Hockey,hockey,"CHO, Eun-Jung",Women,KOR,"Korea, South",W,Silver +Atlanta,1996,Hockey,Hockey,hockey,"POWELL, Lisa Josephine",Women,AUS,Australia,W,Gold +Atlanta,1996,Hockey,Hockey,hockey,"YOU, Jae Sook",Women,KOR,"Korea, South",W,Silver +Atlanta,1996,Hockey,Hockey,hockey,"KIM, Myung-Ok",Women,KOR,"Korea, South",W,Silver +Atlanta,1996,Hockey,Hockey,hockey,"VEEN, Stephan",Men,NED,Netherlands,M,Gold +Atlanta,1996,Hockey,Hockey,hockey,"LEE, Ji-Young",Women,KOR,"Korea, South",W,Silver +Atlanta,1996,Hockey,Hockey,hockey,"KUIPERS, Ellen",Women,NED,Netherlands,W,Bronze +Atlanta,1996,Judo,Judo,48 - 52kg (half-lightweight),"RESTOUX, Marie-Claire",Women,FRA,France,W,Gold +Atlanta,1996,Judo,Judo,66 - 72kg (half-heavyweight),"LUNA CASTELLANO, Diadenis",Women,CUB,Cuba,W,Bronze +Atlanta,1996,Judo,Judo,- 48kg (extra-lightweight),"KYE, Sun Hui",Women,PRK,"Korea, North",W,Gold +Atlanta,1996,Judo,Judo,90 - 100kg (half-heavyweight),"KIM, Min-Soo",Men,KOR,"Korea, South",M,Silver +Atlanta,1996,Judo,Judo,66 - 72kg (half-heavyweight),"SCAPIN, Ylenia",Women,ITA,Italy,W,Bronze +Atlanta,1996,Judo,Judo,48 - 52kg (half-lightweight),"HYUN, Sook-Hee",Women,KOR,"Korea, South",W,Silver +Atlanta,1996,Judo,Judo,+ 72kg (heavyweight),"RODRIGUEZ VILLANUEVA, Estela",Women,CUB,Cuba,W,Silver +Atlanta,1996,Judo,Judo,66 - 72kg (half-heavyweight),"WERBROUCK, Ulla",Women,BEL,Belgium,W,Gold +Atlanta,1996,Judo,Judo,73 - 81kg (half-middleweight),"CHO, In-Chul",Men,KOR,"Korea, South",M,Bronze +Atlanta,1996,Judo,Judo,61 - 66kg (middleweight),"SZCZEPANSKA, Aneta",Women,POL,Poland,W,Silver +Atlanta,1996,Judo,Judo,60 - 66kg (half-lightweight),"HERNANDEZ PLANA, Israel",Men,CUB,Cuba,M,Bronze +Atlanta,1996,Judo,Judo,52 - 56kg (lightweight),"LOMBA, Marisabel",Women,BEL,Belgium,W,Bronze +Atlanta,1996,Judo,Judo,66 - 73kg (lightweight),"NAKAMURA, Kenzo",Men,JPN,Japan,M,Gold +Atlanta,1996,Judo,Judo,56 - 61kg (half-middleweight),"EMOTO, Yuko",Women,JPN,Japan,W,Gold +Atlanta,1996,Judo,Judo,56 - 61kg (half-middleweight),"GAL, Jenny",Women,NED,Netherlands,W,Bronze +Atlanta,1996,Judo,Judo,- 48kg (extra-lightweight),"SOLER, Yolanda",Women,ESP,Spain,W,Bronze +Atlanta,1996,Judo,Judo,+ 72kg (heavyweight),"HAGN, Johanna",Women,GER,Germany,W,Bronze +Atlanta,1996,Judo,Judo,- 60 kg,"NARMANDAKH, Dorjpalam",Men,MGL,Mongolia,M,Bronze +Atlanta,1996,Judo,Judo,+ 100kg (heavyweight),"VAN BARNEVELD, Harry",Men,BEL,Belgium,M,Bronze +Atlanta,1996,Judo,Judo,60 - 66kg (half-lightweight),"NAKAMURA, Yukimasa",Men,JPN,Japan,M,Silver +Atlanta,1996,Judo,Judo,60 - 66kg (half-lightweight),"QUELLMALZ, Udo",Men,GER,Germany,M,Gold +Atlanta,1996,Judo,Judo,66 - 73kg (lightweight),"KWAK, Dae-Sung",Men,KOR,"Korea, South",M,Silver +Atlanta,1996,Judo,Judo,+ 72kg (heavyweight),"CICOT, Christine",Women,FRA,France,W,Bronze +Atlanta,1996,Judo,Judo,52 - 56kg (lightweight),"FERNANDEZ, Isabel",Women,ESP,Spain,W,Bronze +Atlanta,1996,Judo,Judo,61 - 66kg (middleweight),"CHO, Min-Sun",Women,KOR,"Korea, South",W,Gold +Atlanta,1996,Judo,Judo,- 60 kg,"NOMURA, Tadahiro",Men,JPN,Japan,M,Gold +Atlanta,1996,Judo,Judo,61 - 66kg (middleweight),"ZWIERS, Claudia",Women,NED,Netherlands,W,Bronze +Atlanta,1996,Judo,Judo,81 - 90kg (middleweight),"SPITTKA, Marko",Men,GER,Germany,M,Bronze +Atlanta,1996,Judo,Judo,+ 72kg (heavyweight),"SUN, Fuming",Women,CHN,China,W,Gold +Atlanta,1996,Judo,Judo,- 60 kg,"GIOVINAZZO, Girolamo",Men,ITA,Italy,M,Silver +Atlanta,1996,Judo,Judo,73 - 81kg (half-middleweight),"KOGA, Toshihiko",Men,JPN,Japan,M,Silver +Atlanta,1996,Judo,Judo,73 - 81kg (half-middleweight),"LIPARTELIANI, Soso",Men,GEO,Georgia,M,Bronze +Atlanta,1996,Judo,Judo,- 60 kg,"TRAUTMANN, Richard",Men,GER,Germany,M,Bronze +Atlanta,1996,Judo,Judo,66 - 73kg (lightweight),"GAGLIANO, Christophe",Men,FRA,France,M,Bronze +Atlanta,1996,Judo,Judo,- 48kg (extra-lightweight),"TANI, Ryoko",Women,JPN,Japan,W,Silver +Atlanta,1996,Judo,Judo,73 - 81kg (half-middleweight),"BOURAS, Djamel",Men,FRA,France,M,Gold +Atlanta,1996,Judo,Judo,48 - 52kg (half-lightweight),"VERDECIA, Legna",Women,CUB,Cuba,W,Bronze +Atlanta,1996,Judo,Judo,90 - 100kg (half-heavyweight),"TRAINEAU, Stephane",Men,FRA,France,M,Bronze +Atlanta,1996,Judo,Judo,48 - 52kg (half-lightweight),"NARAZAKI, Noriko",Women,JPN,Japan,W,Bronze +Atlanta,1996,Judo,Judo,+ 100kg (heavyweight),"PEREZ LOBO, Ernesto",Men,ESP,Spain,M,Silver +Atlanta,1996,Judo,Judo,+ 100kg (heavyweight),"MOELLER, Frank",Men,GER,Germany,M,Bronze +Atlanta,1996,Judo,Judo,60 - 66kg (half-lightweight),"GUIMARAES, Henrique",Men,BRA,Brazil,M,Bronze +Atlanta,1996,Judo,Judo,66 - 72kg (half-heavyweight),"TANABE, Yoko",Women,JPN,Japan,W,Silver +Atlanta,1996,Judo,Judo,81 - 90kg (middleweight),"BAGDASAROV, Armen",Men,UZB,Uzbekistan,M,Silver +Atlanta,1996,Judo,Judo,81 - 90kg (middleweight),"JEON, Ki-Young",Men,KOR,"Korea, South",M,Gold +Atlanta,1996,Judo,Judo,- 48kg (extra-lightweight),"SAVON, Amarilys",Women,CUB,Cuba,W,Bronze +Atlanta,1996,Judo,Judo,56 - 61kg (half-middleweight),"VANDECAVEYE, Gella",Women,BEL,Belgium,W,Silver +Atlanta,1996,Judo,Judo,61 - 66kg (middleweight),"WANG, Xianbo",Women,CHN,China,W,Bronze +Atlanta,1996,Judo,Judo,56 - 61kg (half-middleweight),"JUNG, Sung-Sook",Women,KOR,"Korea, South",W,Bronze +Atlanta,1996,Judo,Judo,+ 100kg (heavyweight),"DOUILLET, David",Men,FRA,France,M,Gold +Atlanta,1996,Judo,Judo,66 - 73kg (lightweight),"PEDRO, James",Men,USA,United States,M,Bronze +Atlanta,1996,Judo,Judo,90 - 100kg (half-heavyweight),"NASTULA, Pawel",Men,POL,Poland,M,Gold +Atlanta,1996,Judo,Judo,90 - 100kg (half-heavyweight),"MIGUEL FERNANDEZ, Aurelio",Men,BRA,Brazil,M,Bronze +Atlanta,1996,Judo,Judo,52 - 56kg (lightweight),"GONZALEZ, Driulys",Women,CUB,Cuba,W,Gold +Atlanta,1996,Judo,Judo,81 - 90kg (middleweight),"HUIZINGA, Mark",Men,NED,Netherlands,M,Bronze +Atlanta,1996,Judo,Judo,52 - 56kg (lightweight),"JUNG, Sun Yong",Women,KOR,"Korea, South",W,Silver +Atlanta,1996,Modern Pentathlon,Modern Pentath.,Individual competition,"PARYGIN, Alexander",Men,KAZ,Kazakhstan,M,Gold +Atlanta,1996,Modern Pentathlon,Modern Pentath.,Individual competition,"ZENOVKA, Edouard",Men,RUS,Russia,M,Silver +Atlanta,1996,Modern Pentathlon,Modern Pentath.,Individual competition,"MARTINEK, Janos",Men,HUN,Hungary,M,Bronze +Atlanta,1996,Rowing,Rowing,single sculls (1x),"LANGE, Thomas",Men,GER,Germany,M,Bronze +Atlanta,1996,Rowing,Rowing,lightweight double sculls (2x),"GIER, Markus",Men,SUI,Switzerland,M,Gold +Atlanta,1996,Rowing,Rowing,four without coxswain (4-),"GINN, Drew",Men,AUS,Australia,M,Gold +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"WEBER, Marc",Men,GER,Germany,M,Silver +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"MIKULICH, Yelena",Women,BLR,Belarus,W,Bronze +Atlanta,1996,Rowing,Rowing,single sculls (1x),"PORTER, Derek",Men,CAN,Canada,M,Silver +Atlanta,1996,Rowing,Rowing,lightweight double sculls (2x),"AARDEWIJN, Pepijn",Men,NED,Netherlands,M,Silver +Atlanta,1996,Rowing,Rowing,single sculls (1x),"HANSEN, Trine",Women,DEN,Denmark,W,Bronze +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"GEORGESCU, Elena",Women,ROU,Romania,W,Gold +Atlanta,1996,Rowing,Rowing,lightweight double sculls (2x),"LEE, Virginia",Women,AUS,Australia,W,Bronze +Atlanta,1996,Rowing,Rowing,quadruple sculls without coxswain (4x),"YOUNG, Tim",Men,USA,United States,M,Silver +Atlanta,1996,Rowing,Rowing,lightweight coxless four (4-),"CARLUCCI, William",Men,USA,United States,M,Bronze +Atlanta,1996,Rowing,Rowing,lightweight coxless four (4-),"BOYES, Dave",Men,CAN,Canada,M,Silver +Atlanta,1996,Rowing,Rowing,single sculls (1x),"LAUMANN, Silken Suzette",Women,CAN,Canada,W,Silver +Atlanta,1996,Rowing,Rowing,double sculls (2x),"VAN NES, Eeke",Women,NED,Netherlands,W,Bronze +Atlanta,1996,Rowing,Rowing,four without coxswain (4-),"MCKAY, Mike",Men,AUS,Australia,M,Gold +Atlanta,1996,Rowing,Rowing,quadruple sculls without coxswain (4x),"WILLMS, Andre",Men,GER,Germany,M,Gold +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"VIEFERS, Ulrich",Men,GER,Germany,M,Silver +Atlanta,1996,Rowing,Rowing,quadruple sculls without coxswain (4x),"MIFTAKHUTDINOVA, Diana",Women,UKR,Ukraine,W,Silver +Atlanta,1996,Rowing,Rowing,four without coxswain (4-),"TOMKINS, James",Men,AUS,Australia,M,Gold +Atlanta,1996,Rowing,Rowing,four without coxswain (4-),"BOSQUET, Gilles",Men,FRA,France,M,Silver +Atlanta,1996,Rowing,Rowing,lightweight coxless four (4-),"LAY, Jeffrey",Men,CAN,Canada,M,Silver +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"DUYSTER, Jeroen",Men,NED,Netherlands,M,Gold +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"GLUKHOV, Andrey",Men,RUS,Russia,M,Bronze +Atlanta,1996,Rowing,Rowing,quadruple sculls without coxswain (4x),"O'GRADY, Diane",Women,CAN,Canada,W,Bronze +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"CHERMASHENTSEV, Anton",Men,RUS,Russia,M,Bronze +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"TANASE, Anca",Women,ROU,Romania,W,Gold +Atlanta,1996,Rowing,Rowing,quadruple sculls without coxswain (4x),"JAMIESON, Brian",Men,USA,United States,M,Silver +Atlanta,1996,Rowing,Rowing,four without coxswain (4-),"OBHOLZER, Rupert John",Men,GBR,United Kingdom,M,Bronze +Atlanta,1996,Rowing,Rowing,lightweight double sculls (2x),"EDWARDS, Anthony",Men,AUS,Australia,M,Bronze +Atlanta,1996,Rowing,Rowing,single sculls (1x),"KARSTEN, Ekaterina",Women,BLR,Belarus,W,Gold +Atlanta,1996,Rowing,Rowing,four without coxswain (4-),"FAUCHE, Daniel",Men,FRA,France,M,Silver +Atlanta,1996,Rowing,Rowing,quadruple sculls without coxswain (4x),"MUELLER, Eric",Men,USA,United States,M,Silver +Atlanta,1996,Rowing,Rowing,pair without coxswain (2-),"SLATTER, Kate Elizabeth",Women,AUS,Australia,W,Gold +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"STASYUK, Natalia",Women,BLR,Belarus,W,Bronze +Atlanta,1996,Rowing,Rowing,double sculls (2x),"BARATHAY, Samuel",Men,FRA,France,M,Bronze +Atlanta,1996,Rowing,Rowing,quadruple sculls without coxswain (4x),"RUTSCHOW, Katrin",Women,GER,Germany,W,Gold +Atlanta,1996,Rowing,Rowing,quadruple sculls without coxswain (4x),"HEDDLE, Kathleen",Women,CAN,Canada,W,Bronze +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"MCDERMID, Heather",Women,CAN,Canada,W,Silver +Atlanta,1996,Rowing,Rowing,double sculls (2x),"CAO, Mianying",Women,CHN,China,W,Silver +Atlanta,1996,Rowing,Rowing,lightweight double sculls (2x),"HICK, Bruce",Men,AUS,Australia,M,Bronze +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"COCHELEA, Veronica",Women,ROU,Romania,W,Gold +Atlanta,1996,Rowing,Rowing,lightweight double sculls (2x),"JOYCE, Rebecca",Women,AUS,Australia,W,Bronze +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"IGNAT, Doina",Women,ROU,Romania,W,Gold +Atlanta,1996,Rowing,Rowing,double sculls (2x),"TIZZANO, Davide",Men,ITA,Italy,M,Gold +Atlanta,1996,Rowing,Rowing,quadruple sculls without coxswain (4x),"RONZHINA, Olena",Women,UKR,Ukraine,W,Silver +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"VAN DER ZWAN, Niels",Men,NED,Netherlands,M,Gold +Atlanta,1996,Rowing,Rowing,coxless pair (2-),"ANDRIEUX, Michel",Men,FRA,France,M,Bronze +Atlanta,1996,Rowing,Rowing,quadruple sculls without coxswain (4x),"VOLKERT, Stephan",Men,GER,Germany,M,Gold +Atlanta,1996,Rowing,Rowing,four without coxswain (4-),"GREEN, Nicholas",Men,AUS,Australia,M,Gold +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"STREPPELHOFF, Thorsten",Men,GER,Germany,M,Silver +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"KLEINSCHMIDT, Mark",Men,GER,Germany,M,Silver +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"THOMPSON, Lesley Allison",Women,CAN,Canada,W,Silver +Atlanta,1996,Rowing,Rowing,quadruple sculls without coxswain (4x),"KÖPPEN, Kerstin",Women,GER,Germany,W,Gold +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"SIMON, Diederik",Men,NED,Netherlands,M,Gold +Atlanta,1996,Rowing,Rowing,single sculls (1x),"MUELLER, Xeno",Men,SUI,Switzerland,M,Gold +Atlanta,1996,Rowing,Rowing,lightweight double sculls (2x),"MACOVICIUC, Camelia",Women,ROU,Romania,W,Gold +Atlanta,1996,Rowing,Rowing,quadruple sculls without coxswain (4x),"FROLOVA, Inna",Women,UKR,Ukraine,W,Silver +Atlanta,1996,Rowing,Rowing,double sculls (2x),"HEDDLE, Kathleen",Women,CAN,Canada,W,Gold +Atlanta,1996,Rowing,Rowing,quadruple sculls without coxswain (4x),"HOOKER, Janusz",Men,AUS,Australia,M,Bronze +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"VOLODENKOV, Vladimir",Men,RUS,Russia,M,Bronze +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"ROZINKEVICH, Dmitriy",Men,RUS,Russia,M,Bronze +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"THIEDE, Peter",Men,GER,Germany,M,Silver +Atlanta,1996,Rowing,Rowing,lightweight double sculls (2x),"BURNS, Lindsay",Women,USA,United States,W,Silver +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"LUKYANOV, Aleksandr",Men,RUS,Russia,M,Bronze +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"LAVRINENKO, Natalya",Women,BLR,Belarus,W,Bronze +Atlanta,1996,Rowing,Rowing,four without coxswain (4-),"MONCELET, Olivier",Men,FRA,France,M,Silver +Atlanta,1996,Rowing,Rowing,quadruple sculls without coxswain (4x),"BORON, Kathrin",Women,GER,Germany,W,Gold +Atlanta,1996,Rowing,Rowing,quadruple sculls without coxswain (4x),"MCBEAN, Marnie Elizabeth",Women,CAN,Canada,W,Bronze +Atlanta,1996,Rowing,Rowing,four without coxswain (4-),"FOSTER, Tim James",Men,GBR,United Kingdom,M,Bronze +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"KORN, Alison",Women,CAN,Canada,W,Silver +Atlanta,1996,Rowing,Rowing,quadruple sculls without coxswain (4x),"BIESENTHAL, Laryssa",Women,CAN,Canada,W,Bronze +Atlanta,1996,Rowing,Rowing,lightweight coxless four (4-),"COLLINS, David",Men,USA,United States,M,Bronze +Atlanta,1996,Rowing,Rowing,lightweight coxless four (4-),"EBBESEN, Eskild Balschmidt",Men,DEN,Denmark,M,Gold +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"BAAR, Roland",Men,GER,Germany,M,Silver +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"MATVEYEV, Sergeij",Men,RUS,Russia,M,Bronze +Atlanta,1996,Rowing,Rowing,double sculls (2x),"KOWAL, Frederic",Men,FRA,France,M,Bronze +Atlanta,1996,Rowing,Rowing,double sculls (2x),"ABBAGNALE, Agostino",Men,ITA,Italy,M,Gold +Atlanta,1996,Rowing,Rowing,coxless pair (2-),"SCOTT, Robert Geoffrey",Men,AUS,Australia,M,Silver +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"AKSYONOV, Nikolay",Men,RUS,Russia,M,Bronze +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"KIRCHHOFF, Detlef",Men,GER,Germany,M,Silver +Atlanta,1996,Rowing,Rowing,quadruple sculls without coxswain (4x),"STEINER, Andre",Men,GER,Germany,M,Gold +Atlanta,1996,Rowing,Rowing,quadruple sculls without coxswain (4x),"HANSON, Boden Joseph",Men,AUS,Australia,M,Bronze +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"SKRABATUN, Valentina",Women,BLR,Belarus,W,Bronze +Atlanta,1996,Rowing,Rowing,coxless pair (2-),"WEIGHTMAN, David",Men,AUS,Australia,M,Silver +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"VOLCHEK, Natalya",Women,BLR,Belarus,W,Bronze +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"PANKINA, Aleksandra",Women,BLR,Belarus,W,Bronze +Atlanta,1996,Rowing,Rowing,lightweight double sculls (2x),"BURCICA, Constanta",Women,ROU,Romania,W,Gold +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"MELNIKOV, Pavel",Men,RUS,Russia,M,Bronze +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"MONCHENKO, Roman",Men,RUS,Russia,M,Bronze +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"MAUNDER, Maria",Women,CAN,Canada,W,Silver +Atlanta,1996,Rowing,Rowing,lightweight double sculls (2x),"GIER, Michael",Men,SUI,Switzerland,M,Gold +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"LIPA, Elisabeta",Women,ROU,Romania,W,Gold +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"TSANG, Tosha",Women,CAN,Canada,W,Silver +Atlanta,1996,Rowing,Rowing,double sculls (2x),"UNDSET, Kjetil",Men,NOR,Norway,M,Silver +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"GAFENCU, Liliana",Women,ROU,Romania,W,Gold +Atlanta,1996,Rowing,Rowing,lightweight coxless four (4-),"PFAENDTNER, Jeff",Men,USA,United States,M,Bronze +Atlanta,1996,Rowing,Rowing,lightweight double sculls (2x),"BELL, Teresa Z.",Women,USA,United States,W,Silver +Atlanta,1996,Rowing,Rowing,pair without coxswain (2-),"CORTIN, Helene",Women,FRA,France,W,Bronze +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"POPESCU, Marioara",Women,ROU,Romania,W,Gold +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"BARTMAN, Michiel",Men,NED,Netherlands,M,Gold +Atlanta,1996,Rowing,Rowing,double sculls (2x),"MCBEAN, Marnie Elizabeth",Women,CAN,Canada,W,Gold +Atlanta,1996,Rowing,Rowing,lightweight double sculls (2x),"VAN DER LINDEN, Maarten",Men,NED,Netherlands,M,Silver +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"VAN STEENIS, Niels",Men,NED,Netherlands,M,Gold +Atlanta,1996,Rowing,Rowing,lightweight coxless four (4-),"FEDDERSEN, Victor",Men,DEN,Denmark,M,Gold +Atlanta,1996,Rowing,Rowing,lightweight coxless four (4-),"SCHNEIDER, Marc",Men,USA,United States,M,Bronze +Atlanta,1996,Rowing,Rowing,coxless pair (2-),"PINSENT, Matthew",Men,GBR,United Kingdom,M,Gold +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"DAVYDENKO, Tamara",Women,BLR,Belarus,W,Bronze +Atlanta,1996,Rowing,Rowing,quadruple sculls without coxswain (4x),"HAJEK, Andreas",Men,GER,Germany,M,Gold +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"VAN DER KAMP, Anna",Women,CAN,Canada,W,Silver +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"ZNAK, Marina",Women,BLR,Belarus,W,Bronze +Atlanta,1996,Rowing,Rowing,pair without coxswain (2-),"GOSSE, Christine",Women,FRA,France,W,Bronze +Atlanta,1996,Rowing,Rowing,pair without coxswain (2-),"KRAFT, Karen",Women,USA,United States,W,Silver +Atlanta,1996,Rowing,Rowing,quadruple sculls without coxswain (4x),"SNOOK, Ronald",Men,AUS,Australia,M,Bronze +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"PAVLOVICH, Yaroslava",Women,BLR,Belarus,W,Bronze +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"FLORIJN, Ronald",Men,NED,Netherlands,M,Gold +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"LUKE, Theresa",Women,CAN,Canada,W,Silver +Atlanta,1996,Rowing,Rowing,coxless pair (2-),"ROLLAND, Jean Christophe",Men,FRA,France,M,Bronze +Atlanta,1996,Rowing,Rowing,lightweight coxless four (4-),"HASSETT, Gavin",Men,CAN,Canada,M,Silver +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"OLTEANU, Ioana",Women,ROU,Romania,W,Gold +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"SPIRCU, Doina",Women,ROU,Romania,W,Gold +Atlanta,1996,Rowing,Rowing,lightweight coxless four (4-),"PEAKER, Brian",Men,CAN,Canada,M,Silver +Atlanta,1996,Rowing,Rowing,double sculls (2x),"ZHANG, Xiuyun",Women,CHN,China,W,Silver +Atlanta,1996,Rowing,Rowing,quadruple sculls without coxswain (4x),"MAZIY, Svetlana",Women,UKR,Ukraine,W,Silver +Atlanta,1996,Rowing,Rowing,pair without coxswain (2-),"STILL, Megan Leanne",Women,AUS,Australia,W,Gold +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"MAASDIJK, Koos",Men,NED,Netherlands,M,Gold +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"RIENKS, Nico",Men,NED,Netherlands,M,Gold +Atlanta,1996,Rowing,Rowing,lightweight coxless four (4-),"POULSEN, Thomas",Men,DEN,Denmark,M,Gold +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"RICHTER, Frank Joerg",Men,GER,Germany,M,Silver +Atlanta,1996,Rowing,Rowing,lightweight coxless four (4-),"HENRIKSEN, Niels",Men,DEN,Denmark,M,Gold +Atlanta,1996,Rowing,Rowing,four without coxswain (4-),"VECTEN, Bertrand",Men,FRA,France,M,Silver +Atlanta,1996,Rowing,Rowing,double sculls (2x),"EIJS, Irene",Women,NED,Netherlands,W,Bronze +Atlanta,1996,Rowing,Rowing,coxless pair (2-),"REDGRAVE, Steven",Men,GBR,United Kingdom,M,Gold +Atlanta,1996,Rowing,Rowing,quadruple sculls without coxswain (4x),"SORGERS, Jana",Women,GER,Germany,W,Gold +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"MONROE, Jessica",Women,CAN,Canada,W,Silver +Atlanta,1996,Rowing,Rowing,quadruple sculls without coxswain (4x),"GAILES, Jason",Men,USA,United States,M,Silver +Atlanta,1996,Rowing,Rowing,four without coxswain (4-),"SEARLE, Jonathan William",Men,GBR,United Kingdom,M,Bronze +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"ZWOLLE, Hendrik Jan",Men,NED,Netherlands,M,Gold +Atlanta,1996,Rowing,Rowing,quadruple sculls without coxswain (4x),"FREE, Duncan",Men,AUS,Australia,M,Bronze +Atlanta,1996,Rowing,Rowing,four without coxswain (4-),"SEARLE, Gregory Mark Pascol",Men,GBR,United Kingdom,M,Bronze +Atlanta,1996,Rowing,Rowing,double sculls (2x),"STOERSETH, Steffen",Men,NOR,Norway,M,Silver +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"HUHN, Wolfram",Men,GER,Germany,M,Silver +Atlanta,1996,Rowing,Rowing,eight with coxswain (8+),"ROBINSON, Emma",Women,CAN,Canada,W,Silver +Atlanta,1996,Rowing,Rowing,pair without coxswain (2-),"SCHWEN, Missy",Women,USA,United States,W,Silver +Atlanta,1996,Sailing,Sailing,fleet/match race keelboat open (Soling),"BARTON, Jim",Men,USA,United States,X,Bronze +Atlanta,1996,Sailing,Sailing,fleet/match race keelboat open (Soling),"SHAYDUKO, Gueorgi",Men,RUS,Russia,X,Silver +Atlanta,1996,Sailing,Sailing,board (Mistral),"LEE, Lai Shan",Women,HKG,Hong Kong*,W,Gold +Atlanta,1996,Sailing,Sailing,fleet/match race keelboat open (Soling),"MASSEY, Kent",Men,USA,United States,X,Bronze +Atlanta,1996,Sailing,Sailing,470 - Two Person Dinghy,"KINOSHITA, Yurie Alicia",Women,JPN,Japan,W,Silver +Atlanta,1996,Sailing,Sailing,470 - Two Person Dinghy,"ZABELL, Theresa",Women,ESP,Spain,W,Gold +Atlanta,1996,Sailing,Sailing,two-person keelboat open (Star),"BEASHEL, Colin",Men,AUS,Australia,X,Bronze +Atlanta,1996,Sailing,Sailing,board (Mistral),"FRIDMAN, Gal",Men,ISR,Israel,M,Bronze +Atlanta,1996,Sailing,Sailing,board (Mistral),"KENDALL, Barbara",Women,NZL,New Zealand,W,Silver +Atlanta,1996,Sailing,Sailing,board (Mistral),"KAKLAMANAKIS, Nikolaos",Men,GRE,Greece,M,Gold +Atlanta,1996,Sailing,Sailing,Tornado - Multihull,"BALLESTER TULTESA, Jose Luis",Men,ESP,Spain,X,Gold +Atlanta,1996,Sailing,Sailing,single-handed dinghy (Europe),"ROUG, Kristine",Women,DEN,Denmark,W,Gold +Atlanta,1996,Sailing,Sailing,Tornado - Multihull,"BOOTH, Mitch",Men,AUS,Australia,X,Silver +Atlanta,1996,Sailing,Sailing,two-person keelboat open (Star),"FERREIRA, Marcelo",Men,BRA,Brazil,X,Gold +Atlanta,1996,Sailing,Sailing,two-person keelboat open (Star),"WALLEN, Hans",Men,SWE,Sweden,X,Silver +Atlanta,1996,Sailing,Sailing,single-handed dinghy (Finn),"KUSZNIEREWICZ, Mateusz",Men,POL,Poland,M,Gold +Atlanta,1996,Sailing,Sailing,470 - Two Person Dinghy,"SHIGE, Yumiko",Women,JPN,Japan,W,Silver +Atlanta,1996,Sailing,Sailing,single-handed dinghy (Europe),"MATTHIJSSE, Margriet",Women,NED,Netherlands,W,Silver +Atlanta,1996,Sailing,Sailing,fleet/match race keelboat open (Soling),"SCHÜMANN, Jochen",Men,GER,Germany,X,Gold +Atlanta,1996,Sailing,Sailing,470 - Two Person Dinghy,"TARAN, Ruslana",Women,UKR,Ukraine,W,Bronze +Atlanta,1996,Sailing,Sailing,single-handed dinghy (Finn),"GODEFROID, Sebastien",Men,BEL,Belgium,M,Silver +Atlanta,1996,Sailing,Sailing,fleet/match race keelboat open (Soling),"FLACH, Thomas",Men,GER,Germany,X,Gold +Atlanta,1996,Sailing,Sailing,two-person keelboat open (Star),"GILES, David",Men,AUS,Australia,X,Bronze +Atlanta,1996,Sailing,Sailing,board (Mistral),"SENSINI, Alessandra",Women,ITA,Italy,W,Bronze +Atlanta,1996,Sailing,Sailing,fleet/match race keelboat open (Soling),"MADRIGALI, Jeff",Men,USA,United States,X,Bronze +Atlanta,1996,Sailing,Sailing,single-handed dinghy open (Laser),"AINSLIE, Ben",Men,GBR,United Kingdom,X,Silver +Atlanta,1996,Sailing,Sailing,470 - Two Person Dinghy,"MERRICKS, John",Men,GBR,United Kingdom,M,Silver +Atlanta,1996,Sailing,Sailing,board (Mistral),"ESPINOLA, Carlos",Men,ARG,Argentina,M,Silver +Atlanta,1996,Sailing,Sailing,two-person keelboat open (Star),"GRAEL, Torben",Men,BRA,Brazil,X,Gold +Atlanta,1996,Sailing,Sailing,two-person keelboat open (Star),"LOHSE, Bobby",Men,SWE,Sweden,X,Silver +Atlanta,1996,Sailing,Sailing,470 - Two Person Dinghy,"BRASLAVETS, Yevhen",Men,UKR,Ukraine,M,Gold +Atlanta,1996,Sailing,Sailing,fleet/match race keelboat open (Soling),"SKALIN, Igor",Men,RUS,Russia,X,Silver +Atlanta,1996,Sailing,Sailing,fleet/match race keelboat open (Soling),"SHABANOV, Dmitriy",Men,RUS,Russia,X,Silver +Atlanta,1996,Sailing,Sailing,470 - Two Person Dinghy,"BARRETO, Nuno",Men,POR,Portugal,M,Bronze +Atlanta,1996,Sailing,Sailing,470 - Two Person Dinghy,"VIA DUFRESNE, Begona",Women,ESP,Spain,W,Gold +Atlanta,1996,Sailing,Sailing,single-handed dinghy (Europe),"BECKER-DEY, Courtenay",Women,USA,United States,W,Bronze +Atlanta,1996,Sailing,Sailing,single-handed dinghy (Finn),"HEINER, Roy",Men,NED,Netherlands,M,Bronze +Atlanta,1996,Sailing,Sailing,470 - Two Person Dinghy,"WALKER, Ian",Men,GBR,United Kingdom,M,Silver +Atlanta,1996,Sailing,Sailing,single-handed dinghy open (Laser),"SCHEIDT, Robert",Men,BRA,Brazil,X,Gold +Atlanta,1996,Sailing,Sailing,470 - Two Person Dinghy,"MATVIYENKO, Ihor",Men,UKR,Ukraine,M,Gold +Atlanta,1996,Sailing,Sailing,Tornado - Multihull,"GRAEL, Lars",Men,BRA,Brazil,X,Bronze +Atlanta,1996,Sailing,Sailing,fleet/match race keelboat open (Soling),"JÄKEL, Bernd",Men,GER,Germany,X,Gold +Atlanta,1996,Sailing,Sailing,Tornado - Multihull,"LEON, Fernando",Men,ESP,Spain,X,Gold +Atlanta,1996,Sailing,Sailing,single-handed dinghy open (Laser),"MOBERG, Peer",Men,NOR,Norway,X,Bronze +Atlanta,1996,Sailing,Sailing,Tornado - Multihull,"LANDENBERGER, Andrew",Men,AUS,Australia,X,Silver +Atlanta,1996,Sailing,Sailing,Tornado - Multihull,"PELLICANO, Kiko",Men,BRA,Brazil,X,Bronze +Atlanta,1996,Sailing,Sailing,470 - Two Person Dinghy,"ROCHA, Victor Hugo",Men,POR,Portugal,M,Bronze +Atlanta,1996,Sailing,Sailing,470 - Two Person Dinghy,"PAKHOLCHIK, Olena",Women,UKR,Ukraine,W,Bronze +Atlanta,1996,Shooting,Shooting,50m pistol (60 shots),"DI DONNA, Roberto",Men,ITA,Italy,M,Bronze +Atlanta,1996,Shooting,Shooting,double trap (120 targets),"HUDDLESTON, Deserie",Women,AUS,Australia,W,Bronze +Atlanta,1996,Shooting,Shooting,50m rifle 3 positions (3x40 shots),"WAIBEL JR, Wolfram",Men,AUT,Austria,M,Bronze +Atlanta,1996,Shooting,Shooting,50m rifle 3 positions (3x20 shots),"MAUER, Renata",Women,POL,Poland,W,Bronze +Atlanta,1996,Shooting,Shooting,10m air pistol (60 shots),"KIRIAKOV, Tanyu",Men,BUL,Bulgaria,M,Bronze +Atlanta,1996,Shooting,Shooting,double trap (120 targets),"RHODE, Kimberly",Women,USA,United States,W,Gold +Atlanta,1996,Shooting,Shooting,10m air rifle (60 shots),"WAIBEL JR, Wolfram",Men,AUT,Austria,M,Silver +Atlanta,1996,Shooting,Shooting,50m running target (30+30 shots),"XIAO, Jun",Men,CHN,China,M,Silver +Atlanta,1996,Shooting,Shooting,10m air rifle (60 shots),"KHADJIBEKOV, Artem",Men,RUS,Russia,M,Gold +Atlanta,1996,Shooting,Shooting,10m air pistol (60 shots),"WANG, Yifu",Men,CHN,China,M,Silver +Atlanta,1996,Shooting,Shooting,25m pistol (30+30 shots),"YORGOVA, Diana Vassileva",Women,BUL,Bulgaria,W,Silver +Atlanta,1996,Shooting,Shooting,50m running target (30+30 shots),"JANUS, Miroslav",Men,CZE,Czech Republic,M,Bronze +Atlanta,1996,Shooting,Shooting,50m rifle prone (60 shots),"GONCI, Jozef",Men,SVK,Slovakia,M,Bronze +Atlanta,1996,Shooting,Shooting,skeet (125 targets),"RZEPKOWSKI, Miroslaw",Men,POL,Poland,M,Silver +Atlanta,1996,Shooting,Shooting,10m air rifle (60 shots),"AMAT, Jean Pierre",Men,FRA,France,M,Bronze +Atlanta,1996,Shooting,Shooting,50m pistol (60 shots),"KOKOREV, Boris",Men,RUS,Russia,M,Gold +Atlanta,1996,Shooting,Shooting,50m rifle prone (60 shots),"BELIAEV, Sergey",Men,KAZ,Kazakhstan,M,Silver +Atlanta,1996,Shooting,Shooting,double trap (120 targets),"KIERMAYER, Susanne",Women,GER,Germany,W,Silver +Atlanta,1996,Shooting,Shooting,10m air pistol (60 shots),"DI DONNA, Roberto",Men,ITA,Italy,M,Gold +Atlanta,1996,Shooting,Shooting,skeet (125 targets),"BENELLI, Andrea",Men,ITA,Italy,M,Bronze +Atlanta,1996,Shooting,Shooting,50m rifle 3 positions (3x20 shots),"GERASIMENOK, Irina",Women,RUS,Russia,W,Silver +Atlanta,1996,Shooting,Shooting,50m rifle 3 positions (3x40 shots),"BELIAEV, Sergey",Men,KAZ,Kazakhstan,M,Silver +Atlanta,1996,Shooting,Shooting,50m rifle 3 positions (3x40 shots),"AMAT, Jean Pierre",Men,FRA,France,M,Gold +Atlanta,1996,Shooting,Shooting,10m air pistol (40 shots),"KLOCHNEVA, Olga",Women,RUS,Russia,W,Gold +Atlanta,1996,Shooting,Shooting,10m air pistol (40 shots),"LOGVINENKO, Marina",Women,RUS,Russia,W,Silver +Atlanta,1996,Shooting,Shooting,25m rapid fire pistol (60 shots),"SCHUMANN, Ralf",Men,GER,Germany,M,Gold +Atlanta,1996,Shooting,Shooting,50m rifle prone (60 shots),"KLEES, Christian",Men,GER,Germany,M,Gold +Atlanta,1996,Shooting,Shooting,25m rapid fire pistol (60 shots),"VOKHMIANINE, Vladimir",Men,KAZ,Kazakhstan,M,Bronze +Atlanta,1996,Shooting,Shooting,double trap (150 targets),"PERA, Albano",Men,ITA,Italy,M,Silver +Atlanta,1996,Shooting,Shooting,double trap (150 targets),"ZHANG, Bing",Men,CHN,China,M,Bronze +Atlanta,1996,Shooting,Shooting,10m air rifle (40 shots),"HORNEBER, Petra",Women,GER,Germany,W,Silver +Atlanta,1996,Shooting,Shooting,skeet (125 targets),"FALCO, Ennio",Men,ITA,Italy,M,Gold +Atlanta,1996,Shooting,Shooting,10m air pistol (40 shots),"GROZDEVA, Maria",Women,BUL,Bulgaria,W,Bronze +Atlanta,1996,Shooting,Shooting,trap (125 targets),"DIAMOND, Michael",Men,AUS,Australia,M,Gold +Atlanta,1996,Shooting,Shooting,trap (125 targets),"LAKATOS, Josh",Men,USA,United States,M,Silver +Atlanta,1996,Shooting,Shooting,trap (125 targets),"BADE, Lance",Men,USA,United States,M,Bronze +Atlanta,1996,Shooting,Shooting,10m air rifle (40 shots),"MAUER, Renata",Women,POL,Poland,W,Gold +Atlanta,1996,Shooting,Shooting,50m rifle 3 positions (3x20 shots),"IVOSEV, Aleksandra",Women,YUG,Yugoslavia,W,Gold +Atlanta,1996,Shooting,Shooting,50m pistol (60 shots),"BASINSKI, Igor",Men,BLR,Belarus,M,Silver +Atlanta,1996,Shooting,Shooting,10m air rifle (40 shots),"IVOSEV, Aleksandra",Women,YUG,Yugoslavia,W,Bronze +Atlanta,1996,Shooting,Shooting,25m pistol (30+30 shots),"LI, Duihong",Women,CHN,China,W,Gold +Atlanta,1996,Shooting,Shooting,25m pistol (30+30 shots),"LOGVINENKO, Marina",Women,RUS,Russia,W,Bronze +Atlanta,1996,Shooting,Shooting,50m running target (30+30 shots),"YANG, Ling",Men,CHN,China,M,Gold +Atlanta,1996,Shooting,Shooting,25m rapid fire pistol (60 shots),"MILEV, Emil Ivanov",Men,BUL,Bulgaria,M,Silver +Atlanta,1996,Shooting,Shooting,double trap (150 targets),"MARK, Russell",Men,AUS,Australia,M,Gold +Atlanta,1996,Softball,Softball,softball,"WANG, Ying",Women,CHN,China,W,Silver +Atlanta,1996,Softball,Softball,softball,"HOLLIDAY, Jennifer",Women,AUS,Australia,W,Bronze +Atlanta,1996,Softball,Softball,softball,"HARRIGAN, Lori",Women,USA,United States,W,Gold +Atlanta,1996,Softball,Softball,softball,"TYLER, Danielle",Women,USA,United States,W,Gold +Atlanta,1996,Softball,Softball,softball,"CORNELL, Sheila",Women,USA,United States,W,Gold +Atlanta,1996,Softball,Softball,softball,"RICHARDSON, Dorothy",Women,USA,United States,W,Gold +Atlanta,1996,Softball,Softball,softball,"LEI, Li",Women,CHN,China,W,Silver +Atlanta,1996,Softball,Softball,softball,"ROCHE, Melanie",Women,AUS,Australia,W,Bronze +Atlanta,1996,Softball,Softball,softball,"EDEBONE, Peta",Women,AUS,Australia,W,Bronze +Atlanta,1996,Softball,Softball,softball,"ZHANG, Chunfang",Women,CHN,China,W,Silver +Atlanta,1996,Softball,Softball,softball,"YAN, Fang",Women,CHN,China,W,Silver +Atlanta,1996,Softball,Softball,softball,"CRUDGINGTON, Carolyn",Women,AUS,Australia,W,Bronze +Atlanta,1996,Softball,Softball,softball,"WARD, Natalie",Women,AUS,Australia,W,Bronze +Atlanta,1996,Softball,Softball,softball,"XU, Jian",Women,CHN,China,W,Silver +Atlanta,1996,Softball,Softball,softball,"WILKINS, Brooke",Women,AUS,Australia,W,Bronze +Atlanta,1996,Softball,Softball,softball,"MCRAE, Francine",Women,AUS,Australia,W,Bronze +Atlanta,1996,Softball,Softball,softball,"BROWN, Joanne",Women,AUS,Australia,W,Bronze +Atlanta,1996,Softball,Softball,softball,"HARRIS, Dionna",Women,USA,United States,W,Gold +Atlanta,1996,Softball,Softball,softball,"MA, Ying",Women,CHN,China,W,Silver +Atlanta,1996,Softball,Softball,softball,"GRANGER, Michele",Women,USA,United States,W,Gold +Atlanta,1996,Softball,Softball,softball,"LIU, Xuqing",Women,CHN,China,W,Silver +Atlanta,1996,Softball,Softball,softball,"WILLIAMS, Christa Lee",Women,USA,United States,W,Gold +Atlanta,1996,Softball,Softball,softball,"LIU, Yaju",Women,CHN,China,W,Silver +Atlanta,1996,Softball,Softball,softball,"PETRIE, Haylea",Women,AUS,Australia,W,Bronze +Atlanta,1996,Softball,Softball,softball,"CHEN, Hong",Women,CHN,China,W,Silver +Atlanta,1996,Softball,Softball,softball,"HARDING, Tanya",Women,AUS,Australia,W,Bronze +Atlanta,1996,Softball,Softball,softball,"BERG, Laura",Women,USA,United States,W,Gold +Atlanta,1996,Softball,Softball,softball,"SMITH, Michele",Women,USA,United States,W,Gold +Atlanta,1996,Softball,Softball,softball,"SMITH, Julie",Women,USA,United States,W,Gold +Atlanta,1996,Softball,Softball,softball,"WANG, Lihong",Women,CHN,China,W,Silver +Atlanta,1996,Softball,Softball,softball,"MCDERMID, Sally",Women,AUS,Australia,W,Bronze +Atlanta,1996,Softball,Softball,softball,"AN, Zhongxin",Women,CHN,China,W,Silver +Atlanta,1996,Softball,Softball,softball,"COOPER, Kim",Women,AUS,Australia,W,Bronze +Atlanta,1996,Softball,Softball,softball,"LESTER, Jocelyn",Women,AUS,Australia,W,Bronze +Atlanta,1996,Softball,Softball,softball,"O'BRIEN, Leah",Women,USA,United States,W,Gold +Atlanta,1996,Softball,Softball,softball,"WEI, Qiang",Women,CHN,China,W,Silver +Atlanta,1996,Softball,Softball,softball,"FERNANDEZ, Lisa",Women,USA,United States,W,Gold +Atlanta,1996,Softball,Softball,softball,"RICHARDSON, Nicole",Women,AUS,Australia,W,Bronze +Atlanta,1996,Softball,Softball,softball,"OU, Jingbai",Women,CHN,China,W,Silver +Atlanta,1996,Softball,Softball,softball,"DIENELT, Kerry",Women,AUS,Australia,W,Bronze +Atlanta,1996,Softball,Softball,softball,"BOXX, Gillian",Women,USA,United States,W,Gold +Atlanta,1996,Softball,Softball,softball,"MAHER, Kim",Women,USA,United States,W,Gold +Atlanta,1996,Softball,Softball,softball,"STOKES, Shelly",Women,USA,United States,W,Gold +Atlanta,1996,Softball,Softball,softball,"TAO, Hua",Women,CHN,China,W,Silver +Atlanta,1996,Softball,Softball,softball,"HE, Liping",Women,CHN,China,W,Silver +Atlanta,1996,Table Tennis,Table Tennis,singles,"ROSSKOPF, Jörg",Men,GER,Germany,M,Bronze +Atlanta,1996,Table Tennis,Table Tennis,singles,"WANG, Tao",Men,CHN,China,M,Silver +Atlanta,1996,Table Tennis,Table Tennis,doubles,"PARK, Hae-Jung",Women,KOR,"Korea, South",W,Bronze +Atlanta,1996,Table Tennis,Table Tennis,singles,"CHEN, Jing",Women,TPE,Taiwan,W,Silver +Atlanta,1996,Table Tennis,Table Tennis,doubles,"KONG, Linghui",Men,CHN,China,M,Gold +Atlanta,1996,Table Tennis,Table Tennis,singles,"DENG, Yaping",Women,CHN,China,W,Gold +Atlanta,1996,Table Tennis,Table Tennis,doubles,"LIU, Wei",Women,CHN,China,W,Silver +Atlanta,1996,Table Tennis,Table Tennis,singles,"LIU, Guoliang",Men,CHN,China,M,Gold +Atlanta,1996,Table Tennis,Table Tennis,doubles,"QIAO, Yunping",Women,CHN,China,W,Silver +Atlanta,1996,Table Tennis,Table Tennis,doubles,"LU, Lin",Men,CHN,China,M,Silver +Atlanta,1996,Table Tennis,Table Tennis,singles,"QIAO, Hong",Women,CHN,China,W,Bronze +Atlanta,1996,Table Tennis,Table Tennis,doubles,"YOO, Nam-Kyu",Men,KOR,"Korea, South",M,Bronze +Atlanta,1996,Table Tennis,Table Tennis,doubles,"LIU, Guoliang",Men,CHN,China,M,Gold +Atlanta,1996,Table Tennis,Table Tennis,doubles,"RYU, Ji-Hye",Women,KOR,"Korea, South",W,Bronze +Atlanta,1996,Table Tennis,Table Tennis,doubles,"WANG, Tao",Men,CHN,China,M,Silver +Atlanta,1996,Table Tennis,Table Tennis,doubles,"DENG, Yaping",Women,CHN,China,W,Gold +Atlanta,1996,Table Tennis,Table Tennis,doubles,"LEE, Chul Seung",Men,KOR,"Korea, South",M,Bronze +Atlanta,1996,Table Tennis,Table Tennis,doubles,"QIAO, Hong",Women,CHN,China,W,Gold +Atlanta,1996,Tennis,Tennis,singles,"SANCHEZ-VICARIO, Arantxa",Women,ESP,Spain,W,Silver +Atlanta,1996,Tennis,Tennis,doubles,"SUKOVA, Helena",Women,CZE,Czech Republic,W,Silver +Atlanta,1996,Tennis,Tennis,doubles,"WOODBRIDGE, Todd",Men,AUS,Australia,M,Gold +Atlanta,1996,Tennis,Tennis,doubles,"MARTINEZ, Conchita",Women,ESP,Spain,W,Bronze +Atlanta,1996,Tennis,Tennis,doubles,"WOODFORDE, Mark",Men,AUS,Australia,M,Gold +Atlanta,1996,Tennis,Tennis,singles,"PAES, Leander",Men,IND,India,M,Bronze +Atlanta,1996,Tennis,Tennis,doubles,"GOELLNER, Marc-Kevin",Men,GER,Germany,M,Bronze +Atlanta,1996,Tennis,Tennis,doubles,"PRINOSIL, David",Men,GER,Germany,M,Bronze +Atlanta,1996,Tennis,Tennis,doubles,"FERNANDEZ, Gigi",Women,USA,United States,W,Gold +Atlanta,1996,Tennis,Tennis,singles,"AGASSI, Andre",Men,USA,United States,M,Gold +Atlanta,1996,Tennis,Tennis,doubles,"NOVOTNA, Jana",Women,CZE,Czech Republic,W,Silver +Atlanta,1996,Tennis,Tennis,singles,"DAVENPORT, Lindsay",Women,USA,United States,W,Gold +Atlanta,1996,Tennis,Tennis,singles,"NOVOTNA, Jana",Women,CZE,Czech Republic,W,Bronze +Atlanta,1996,Tennis,Tennis,doubles,"FERNANDEZ, Mary Joe",Women,USA,United States,W,Gold +Atlanta,1996,Tennis,Tennis,doubles,"SANCHEZ-VICARIO, Arantxa",Women,ESP,Spain,W,Bronze +Atlanta,1996,Tennis,Tennis,doubles,"HENMAN, Tim",Men,GBR,United Kingdom,M,Silver +Atlanta,1996,Tennis,Tennis,doubles,"BROAD, Neil",Men,GBR,United Kingdom,M,Silver +Atlanta,1996,Tennis,Tennis,singles,"BRUGUERA, Sergi",Men,ESP,Spain,M,Silver +Atlanta,1996,Volleyball,Beach volley.,beach volleyball,"DODD, Michael",Men,USA,United States,M,Silver +Atlanta,1996,Volleyball,Beach volley.,beach volleyball,"HEESE, Mark",Men,CAN,Canada,M,Bronze +Atlanta,1996,Volleyball,Beach volley.,beach volleyball,"STEFFES, Kent",Men,USA,United States,M,Gold +Atlanta,1996,Volleyball,Beach volley.,beach volleyball,"COOK, Natalie",Women,AUS,Australia,W,Bronze +Atlanta,1996,Volleyball,Beach volley.,beach volleyball,"RODRIGUES, Monica",Women,BRA,Brazil,W,Silver +Atlanta,1996,Volleyball,Beach volley.,beach volleyball,"POTTHARST, Kerri",Women,AUS,Australia,W,Bronze +Atlanta,1996,Volleyball,Beach volley.,beach volleyball,"SAMUEL RAMOS, Adriana",Women,BRA,Brazil,W,Silver +Atlanta,1996,Volleyball,Beach volley.,beach volleyball,"KIRALY, Charles",Men,USA,United States,M,Gold +Atlanta,1996,Volleyball,Beach volley.,beach volleyball,"CHILD, John",Men,CAN,Canada,M,Bronze +Atlanta,1996,Volleyball,Beach volley.,beach volleyball,"WHITMARSH, Mike",Men,USA,United States,M,Silver +Atlanta,1996,Volleyball,Beach volley.,beach volleyball,"SILVA CRUZ, Jacqueline Cruz",Women,BRA,Brazil,W,Gold +Atlanta,1996,Volleyball,Beach volley.,beach volleyball,"PIRES, Sandra",Women,BRA,Brazil,W,Gold +Atlanta,1996,Volleyball,Volleyball,volleyball,"GATO, Idalmis",Women,CUB,Cuba,W,Gold +Atlanta,1996,Volleyball,Volleyball,volleyball,"LI, Yan",Women,CHN,China,W,Silver +Atlanta,1996,Volleyball,Volleyball,volleyball,"O'FARRILL, Raisa",Women,CUB,Cuba,W,Gold +Atlanta,1996,Volleyball,Volleyball,volleyball,"WANG, Yi",Women,CHN,China,W,Silver +Atlanta,1996,Volleyball,Volleyball,volleyball,"DIAS, Virna",Women,BRA,Brazil,W,Bronze +Atlanta,1996,Volleyball,Volleyball,volleyball,"GERIC, Andrija",Men,YUG,Yugoslavia,M,Bronze +Atlanta,1996,Volleyball,Volleyball,volleyball,"VAN DER MEULEN, Olof",Men,NED,Netherlands,M,Gold +Atlanta,1996,Volleyball,Volleyball,volleyball,"SCHUIL, Richard",Men,NED,Netherlands,M,Gold +Atlanta,1996,Volleyball,Volleyball,volleyball,"TANASKOVIC, Zeljko",Men,YUG,Yugoslavia,M,Bronze +Atlanta,1996,Volleyball,Volleyball,volleyball,"HELD, Henk-Jan",Men,NED,Netherlands,M,Gold +Atlanta,1996,Volleyball,Volleyball,volleyball,"CARVAJAL, Magaly Esther",Women,CUB,Cuba,W,Gold +Atlanta,1996,Volleyball,Volleyball,volleyball,"RUIZ, Yumilka",Women,CUB,Cuba,W,Gold +Atlanta,1996,Volleyball,Volleyball,volleyball,"WU, Yongmei",Women,CHN,China,W,Silver +Atlanta,1996,Volleyball,Volleyball,volleyball,"ZWERVER, Ronald",Men,NED,Netherlands,M,Gold +Atlanta,1996,Volleyball,Volleyball,volleyball,"GIANI, Andrea",Men,ITA,Italy,M,Silver +Atlanta,1996,Volleyball,Volleyball,volleyball,"FRANCIA, Mirka",Women,CUB,Cuba,W,Gold +Atlanta,1996,Volleyball,Volleyball,volleyball,"LAI, Yawen",Women,CHN,China,W,Silver +Atlanta,1996,Volleyball,Volleyball,volleyball,"JOKANOVIC, Rajko",Men,YUG,Yugoslavia,M,Bronze +Atlanta,1996,Volleyball,Volleyball,volleyball,"GARDINI, Andrea",Men,ITA,Italy,M,Silver +Atlanta,1996,Volleyball,Volleyball,volleyball,"AGUERO, Taimaris",Women,CUB,Cuba,W,Gold +Atlanta,1996,Volleyball,Volleyball,volleyball,"GORTZEN, Guido",Men,NED,Netherlands,M,Gold +Atlanta,1996,Volleyball,Volleyball,volleyball,"BRDJOVIC, Dejan",Men,YUG,Yugoslavia,M,Bronze +Atlanta,1996,Volleyball,Volleyball,volleyball,"VAN DE GOOR, Mike",Men,NED,Netherlands,M,Gold +Atlanta,1996,Volleyball,Volleyball,volleyball,"PETROVIC, Zarko",Men,YUG,Yugoslavia,M,Bronze +Atlanta,1996,Volleyball,Volleyball,volleyball,"BATEZ, Vladimir",Men,YUG,Yugoslavia,M,Bronze +Atlanta,1996,Volleyball,Volleyball,volleyball,"BLANGE, Peter",Men,NED,Netherlands,M,Gold +Atlanta,1996,Volleyball,Volleyball,volleyball,"TORRES, Regla",Women,CUB,Cuba,W,Gold +Atlanta,1996,Volleyball,Volleyball,volleyball,"RODENBURG, Brecht",Men,NED,Netherlands,M,Gold +Atlanta,1996,Volleyball,Volleyball,volleyball,"GRABERT, Rob",Men,NED,Netherlands,M,Gold +Atlanta,1996,Volleyball,Volleyball,volleyball,"TOFOLI, Paolo",Men,ITA,Italy,M,Silver +Atlanta,1996,Volleyball,Volleyball,volleyball,"CUI, Yong-Mei",Women,CHN,China,W,Silver +Atlanta,1996,Volleyball,Volleyball,volleyball,"LIU, Xiaoning",Women,CHN,China,W,Silver +Atlanta,1996,Volleyball,Volleyball,volleyball,"GRAVINA, Pasquale",Men,ITA,Italy,M,Silver +Atlanta,1996,Volleyball,Volleyball,volleyball,"GRBIC, Nikola",Men,YUG,Yugoslavia,M,Bronze +Atlanta,1996,Volleyball,Volleyball,volleyball,"ALVARES, Ana Margarita",Women,BRA,Brazil,W,Bronze +Atlanta,1996,Volleyball,Volleyball,volleyball,"CUNHA, Marcia Regina",Women,BRA,Brazil,W,Bronze +Atlanta,1996,Volleyball,Volleyball,volleyball,"BRACCI, Marco",Men,ITA,Italy,M,Silver +Atlanta,1996,Volleyball,Volleyball,volleyball,"HE, Qi",Women,CHN,China,W,Silver +Atlanta,1996,Volleyball,Volleyball,volleyball,"DJURIC, Djordje",Men,YUG,Yugoslavia,M,Bronze +Atlanta,1996,Volleyball,Volleyball,volleyball,"SANGLARD, Ana Flavia",Women,BRA,Brazil,W,Bronze +Atlanta,1996,Volleyball,Volleyball,volleyball,"FERNANDEZ, Ana Ibis",Women,CUB,Cuba,W,Gold +Atlanta,1996,Volleyball,Volleyball,volleyball,"SURUAGY, Sandra",Women,BRA,Brazil,W,Bronze +Atlanta,1996,Volleyball,Volleyball,volleyball,"VUJEVIC, Goran",Men,YUG,Yugoslavia,M,Bronze +Atlanta,1996,Volleyball,Volleyball,volleyball,"GRBIC, Vladimir",Men,YUG,Yugoslavia,M,Bronze +Atlanta,1996,Volleyball,Volleyball,volleyball,"KOVAC, Slobodan",Men,YUG,Yugoslavia,M,Bronze +Atlanta,1996,Volleyball,Volleyball,volleyball,"MOSER, Ana Beatriz",Women,BRA,Brazil,W,Bronze +Atlanta,1996,Volleyball,Volleyball,volleyball,"VENTURINI, Fernanda",Women,BRA,Brazil,W,Bronze +Atlanta,1996,Volleyball,Volleyball,volleyball,"CONNELLY, Ana Paula",Women,BRA,Brazil,W,Bronze +Atlanta,1996,Volleyball,Volleyball,volleyball,"LATUHIHIN, Misha",Men,NED,Netherlands,M,Gold +Atlanta,1996,Volleyball,Volleyball,volleyball,"POSTHUMA, Jan",Men,NED,Netherlands,M,Gold +Atlanta,1996,Volleyball,Volleyball,volleyball,"SUN, Yue",Women,CHN,China,W,Silver +Atlanta,1996,Volleyball,Volleyball,volleyball,"COSTA, Marlenis",Women,CUB,Cuba,W,Gold +Atlanta,1996,Volleyball,Volleyball,volleyball,"BOVOLENTA, Vigor",Men,ITA,Italy,M,Silver +Atlanta,1996,Volleyball,Volleyball,volleyball,"BODZIAK, Ericleia ""Filo""",Women,BRA,Brazil,W,Bronze +Atlanta,1996,Volleyball,Volleyball,volleyball,"CALDEIRA, Hilma Aparecida",Women,BRA,Brazil,W,Bronze +Atlanta,1996,Volleyball,Volleyball,volleyball,"ZORZI, Andrea",Men,ITA,Italy,M,Silver +Atlanta,1996,Volleyball,Volleyball,volleyball,"VAN DE GOOR, Bas",Men,NED,Netherlands,M,Gold +Atlanta,1996,Volleyball,Volleyball,volleyball,"MESTER, Djula",Men,YUG,Yugoslavia,M,Bronze +Atlanta,1996,Volleyball,Volleyball,volleyball,"PAN, Wenli",Women,CHN,China,W,Silver +Atlanta,1996,Volleyball,Volleyball,volleyball,"CANTAGALLI, Luca",Men,ITA,Italy,M,Silver +Atlanta,1996,Volleyball,Volleyball,volleyball,"BERNARDI, Lorenzo",Men,ITA,Italy,M,Silver +Atlanta,1996,Volleyball,Volleyball,volleyball,"PAPI, Samuele",Men,ITA,Italy,M,Silver +Atlanta,1996,Volleyball,Volleyball,volleyball,"BARROS, Leila",Women,BRA,Brazil,W,Bronze +Atlanta,1996,Volleyball,Volleyball,volleyball,"WANG, Lina",Women,CHN,China,W,Silver +Atlanta,1996,Volleyball,Volleyball,volleyball,"WANG, Ziling",Women,CHN,China,W,Silver +Atlanta,1996,Volleyball,Volleyball,volleyball,"BELL, Regla Maritza",Women,CUB,Cuba,W,Gold +Atlanta,1996,Volleyball,Volleyball,volleyball,"IZQUIERDO, Lilia",Women,CUB,Cuba,W,Gold +Atlanta,1996,Volleyball,Volleyball,volleyball,"ZHU, Yunying",Women,CHN,China,W,Silver +Atlanta,1996,Volleyball,Volleyball,volleyball,"SARTORETTI, Andrea",Men,ITA,Italy,M,Silver +Atlanta,1996,Volleyball,Volleyball,volleyball,"MEONI, Marco",Men,ITA,Italy,M,Silver +Atlanta,1996,Volleyball,Volleyball,volleyball,"LUIS, Alejandrina",Women,CUB,Cuba,W,Gold +Atlanta,1996,Volleyball,Volleyball,volleyball,"SOUZA, Helia",Women,BRA,Brazil,W,Bronze +Atlanta,1996,Weightlifting,Weightlifting,"76 - 83kg, total (light-heavyweight)","DIMAS, Pyrros",Men,GRE,Greece,M,Gold +Atlanta,1996,Weightlifting,Weightlifting,"64 - 70kg, total (lightweight)","FERI, Attila",Men,HUN,Hungary,M,Bronze +Atlanta,1996,Weightlifting,Weightlifting,"99 - 108kg, total (heavyweight)","TAIMAZOV, Timour",Men,UKR,Ukraine,M,Gold +Atlanta,1996,Weightlifting,Weightlifting,"64 - 70kg, total (lightweight)","KIM, Myong Nam",Men,PRK,"Korea, North",M,Silver +Atlanta,1996,Weightlifting,Weightlifting,"70 - 76kg, total (middleweight)","LARA, Pablo",Men,CUB,Cuba,M,Gold +Atlanta,1996,Weightlifting,Weightlifting,"99 - 108kg, total (heavyweight)","VLAD, Nicu",Men,ROU,Romania,M,Bronze +Atlanta,1996,Weightlifting,Weightlifting,"- 54kg, total (flyweight)","ZHANG, Xiangsen",Men,CHN,China,M,Silver +Atlanta,1996,Weightlifting,Weightlifting,"59 - 64kg, total (featherweight)","SULEYMANOGLU, Naim",Men,TUR,Turkey,M,Gold +Atlanta,1996,Weightlifting,Weightlifting,"91 - 99kg, total (first-heavyweight)","KAKIASVILIS, Akakios",Men,GRE,Greece,M,Gold +Atlanta,1996,Weightlifting,Weightlifting,"83 - 91kg, total (middle-heavyweight)","KOKAS, Leonidas",Men,GRE,Greece,M,Silver +Atlanta,1996,Weightlifting,Weightlifting,"+ 108kg, total (super heavyweight)","BOTEV, Stefan",Men,AUS,Australia,M,Bronze +Atlanta,1996,Weightlifting,Weightlifting,"70 - 76kg, total (middleweight)","YOTOV, Yoto Vassilev",Men,BUL,Bulgaria,M,Silver +Atlanta,1996,Weightlifting,Weightlifting,"83 - 91kg, total (middle-heavyweight)","PETROV, Aleksey",Men,RUS,Russia,M,Gold +Atlanta,1996,Weightlifting,Weightlifting,"91 - 99kg, total (first-heavyweight)","HORDIYCHUK, Mykola",Men,UKR,Ukraine,M,Bronze +Atlanta,1996,Weightlifting,Weightlifting,"- 54kg, total (flyweight)","MUTLU, Halil",Men,TUR,Turkey,M,Gold +Atlanta,1996,Weightlifting,Weightlifting,"91 - 99kg, total (first-heavyweight)","KHRAPATY, Anatoli",Men,KAZ,Kazakhstan,M,Silver +Atlanta,1996,Weightlifting,Weightlifting,"59 - 64kg, total (featherweight)","XIAO, Jiangang",Men,CHN,China,M,Bronze +Atlanta,1996,Weightlifting,Weightlifting,"- 54kg, total (flyweight)","MINCHEV, Sevdalin",Men,BUL,Bulgaria,M,Bronze +Atlanta,1996,Weightlifting,Weightlifting,"+ 108kg, total (super heavyweight)","WELLER, Ronny",Men,GER,Germany,M,Silver +Atlanta,1996,Weightlifting,Weightlifting,"70 - 76kg, total (middleweight)","JON, Chol Ho",Men,PRK,"Korea, North",M,Bronze +Atlanta,1996,Weightlifting,Weightlifting,"+ 108kg, total (super heavyweight)","CHEMERKIN, Andrey",Men,RUS,Russia,M,Gold +Atlanta,1996,Weightlifting,Weightlifting,"54 - 59kg, total (bantamweight)","SAMPANIS, Leonidas",Men,GRE,Greece,M,Silver +Atlanta,1996,Weightlifting,Weightlifting,"76 - 83kg, total (light-heavyweight)","COFALIK, Andrzej",Men,POL,Poland,M,Bronze +Atlanta,1996,Weightlifting,Weightlifting,"64 - 70kg, total (lightweight)","ZHAN, Xugang",Men,CHN,China,M,Gold +Atlanta,1996,Weightlifting,Weightlifting,"54 - 59kg, total (bantamweight)","PECHALOV, Nikolay",Men,BUL,Bulgaria,M,Bronze +Atlanta,1996,Weightlifting,Weightlifting,"83 - 91kg, total (middle-heavyweight)","CARUSO, Oliver",Men,GER,Germany,M,Bronze +Atlanta,1996,Weightlifting,Weightlifting,"59 - 64kg, total (featherweight)","LEONIDIS, Valerios",Men,GRE,Greece,M,Silver +Atlanta,1996,Weightlifting,Weightlifting,"54 - 59kg, total (bantamweight)","TANG, Ningsheng",Men,CHN,China,M,Gold +Atlanta,1996,Weightlifting,Weightlifting,"76 - 83kg, total (light-heavyweight)","HUSTER, Marc",Men,GER,Germany,M,Silver +Atlanta,1996,Weightlifting,Weightlifting,"99 - 108kg, total (heavyweight)","SYRTSOV, Serguei",Men,RUS,Russia,M,Silver +Atlanta,1996,Wrestling,Wrestling Free.,62 - 68kg (lightweight),"ZOZIROV, Zaza",Men,UKR,Ukraine,M,Bronze +Atlanta,1996,Wrestling,Wrestling Free.,48 - 52kg (flyweight),"DIMITROV, Valentin Yordanov",Men,BUL,Bulgaria,M,Gold +Atlanta,1996,Wrestling,Wrestling Free.,82 - 90kg (light-heavyweight),"KHADARTSEV, Makharbek",Men,RUS,Russia,M,Silver +Atlanta,1996,Wrestling,Wrestling Free.,57 - 62kg (featherweight),"TEDEYEV, Elbrus",Men,UKR,Ukraine,M,Bronze +Atlanta,1996,Wrestling,Wrestling Free.,68 - 74kg (welterweight),"OTA, Takuya",Men,JPN,Japan,M,Bronze +Atlanta,1996,Wrestling,Wrestling Free.,68 - 74kg (welterweight),"SAYTIEV, Buvaysa",Men,RUS,Russia,M,Gold +Atlanta,1996,Wrestling,Wrestling Free.,90 - 100kg (heavyweight),"ANGLE, Kurt",Men,USA,United States,M,Gold +Atlanta,1996,Wrestling,Wrestling Free.,- 48kg (light-flyweight),"MKRCHYAN, Armen",Men,ARM,Armenia,M,Silver +Atlanta,1996,Wrestling,Wrestling Free.,48 - 52kg (flyweight),"MAMYROV, Maulen",Men,KAZ,Kazakhstan,M,Bronze +Atlanta,1996,Wrestling,Wrestling Free.,52 - 57kg (bantamweight),"RI, Yong Sam",Men,PRK,"Korea, North",M,Bronze +Atlanta,1996,Wrestling,Wrestling Free.,62 - 68kg (lightweight),"BOGIYEV, Vadim",Men,RUS,Russia,M,Gold +Atlanta,1996,Wrestling,Wrestling Free.,74 - 82kg (middleweight),"YANG, Hyun-Mo",Men,KOR,"Korea, South",M,Silver +Atlanta,1996,Wrestling,Wrestling Free.,68 - 74kg (welterweight),"PARK, Jang-Soon",Men,KOR,"Korea, South",M,Silver +Atlanta,1996,Wrestling,Wrestling Free.,90 - 100kg (heavyweight),"SABEJEW, Arawat",Men,GER,Germany,M,Bronze +Atlanta,1996,Wrestling,Wrestling Free.,62 - 68kg (lightweight),"SAUNDERS, Townsend",Men,USA,United States,M,Silver +Atlanta,1996,Wrestling,Wrestling Free.,100 - 130kg (super heavyweight),"BAUMGARTNER, Bruce Robert",Men,USA,United States,M,Bronze +Atlanta,1996,Wrestling,Wrestling Free.,74 - 82kg (middleweight),"MAGOMEDOV, Khadzhimurad",Men,RUS,Russia,M,Gold +Atlanta,1996,Wrestling,Wrestling Free.,57 - 62kg (featherweight),"JANG, Jae-Sung",Men,KOR,"Korea, South",M,Silver +Atlanta,1996,Wrestling,Wrestling Free.,- 48kg (light-flyweight),"KIM, Il",Men,PRK,"Korea, North",M,Gold +Atlanta,1996,Wrestling,Wrestling Free.,52 - 57kg (bantamweight),"CROSS, Kendall Duane",Men,USA,United States,M,Gold +Atlanta,1996,Wrestling,Wrestling Free.,48 - 52kg (flyweight),"ABDULLAYEV, Namig",Men,AZE,Azerbaijan,M,Silver +Atlanta,1996,Wrestling,Wrestling Free.,100 - 130kg (super heavyweight),"MEDVEDEV, Aleksey",Men,BLR,Belarus,M,Silver +Atlanta,1996,Wrestling,Wrestling Free.,82 - 90kg (light-heavyweight),"KURTANIDZE, Eldari",Men,GEO,Georgia,M,Bronze +Atlanta,1996,Wrestling,Wrestling Free.,52 - 57kg (bantamweight),"SISSAOURI, Giuvi",Men,CAN,Canada,M,Silver +Atlanta,1996,Wrestling,Wrestling Free.,100 - 130kg (super heavyweight),"DEMIR, Mahmut",Men,TUR,Turkey,M,Gold +Atlanta,1996,Wrestling,Wrestling Free.,74 - 82kg (middleweight),"KHADEM AZGHADI, Amir Reza",Men,IRI,Iran,M,Bronze +Atlanta,1996,Wrestling,Wrestling Free.,- 48kg (light-flyweight),"VILA, Alexis",Men,CUB,Cuba,M,Bronze +Atlanta,1996,Wrestling,Wrestling Free.,57 - 62kg (featherweight),"BRANDS, Tom",Men,USA,United States,M,Gold +Atlanta,1996,Wrestling,Wrestling Free.,82 - 90kg (light-heavyweight),"KHADEM AZGHADI, Rasul",Men,IRI,Iran,M,Gold +Atlanta,1996,Wrestling,Wrestling Free.,90 - 100kg (heavyweight),"JADIDI, Abbas",Men,IRI,Iran,M,Silver +Atlanta,1996,Wrestling,Wrestling Gre-R,90 - 100kg (heavyweight),"LJUNGBERG, Mikael",Men,SWE,Sweden,M,Bronze +Atlanta,1996,Wrestling,Wrestling Gre-R,48 - 52kg (flyweight),"NAZARYAN, Armen",Men,ARM,Armenia,M,Gold +Atlanta,1996,Wrestling,Wrestling Gre-R,48 - 52kg (flyweight),"KALASHNIKOV, Andriy",Men,UKR,Ukraine,M,Bronze +Atlanta,1996,Wrestling,Wrestling Gre-R,57 - 62kg (featherweight),"PIRIM, Akif",Men,TUR,Turkey,M,Bronze +Atlanta,1996,Wrestling,Wrestling Gre-R,74 - 82kg (middleweight),"TSILENT, Valeriy",Men,BLR,Belarus,M,Bronze +Atlanta,1996,Wrestling,Wrestling Gre-R,57 - 62kg (featherweight),"ZAWADZKI, Wlodzimierz",Men,POL,Poland,M,Gold +Atlanta,1996,Wrestling,Wrestling Gre-R,74 - 82kg (middleweight),"YERLIKAYA, Hamza",Men,TUR,Turkey,M,Gold +Atlanta,1996,Wrestling,Wrestling Gre-R,90 - 100kg (heavyweight),"WRONSKI, Andrzej",Men,POL,Poland,M,Gold +Atlanta,1996,Wrestling,Wrestling Gre-R,57 - 62kg (featherweight),"MAREN, Juan Luis",Men,CUB,Cuba,M,Silver +Atlanta,1996,Wrestling,Wrestling Gre-R,74 - 82kg (middleweight),"ZANDER, Thomas",Men,GER,Germany,M,Silver +Atlanta,1996,Wrestling,Wrestling Gre-R,- 48kg (light-flyweight),"SIM, Kwon-Ho",Men,KOR,"Korea, South",M,Gold +Atlanta,1996,Wrestling,Wrestling Gre-R,100 - 130kg (super heavyweight),"KARELIN, Aleksandr",Men,RUS,Russia,M,Gold +Atlanta,1996,Wrestling,Wrestling Gre-R,82 - 90kg (light-heavyweight),"BULLMANN, Maik",Men,GER,Germany,M,Bronze +Atlanta,1996,Wrestling,Wrestling Gre-R,82 - 90kg (light-heavyweight),"OLEYNYK, Vyacheslav",Men,UKR,Ukraine,M,Gold +Atlanta,1996,Wrestling,Wrestling Gre-R,62 - 68kg (lightweight),"TRETYAKOV, Aleksandr",Men,RUS,Russia,M,Bronze +Atlanta,1996,Wrestling,Wrestling Gre-R,82 - 90kg (light-heavyweight),"FAFINSKI, Jacek",Men,POL,Poland,M,Silver +Atlanta,1996,Wrestling,Wrestling Gre-R,90 - 100kg (heavyweight),"LISHTVAN, Sergey",Men,BLR,Belarus,M,Silver +Atlanta,1996,Wrestling,Wrestling Gre-R,100 - 130kg (super heavyweight),"MOUREIKO, Serguei",Men,MDA,Moldova,M,Bronze +Atlanta,1996,Wrestling,Wrestling Gre-R,52 - 57kg (bantamweight),"HALL, Dennis",Men,USA,United States,M,Silver +Atlanta,1996,Wrestling,Wrestling Gre-R,52 - 57kg (bantamweight),"SHENG, Zetian",Men,CHN,China,M,Bronze +Atlanta,1996,Wrestling,Wrestling Gre-R,100 - 130kg (super heavyweight),"GHAFFARI, Siamak",Men,USA,United States,M,Silver +Atlanta,1996,Wrestling,Wrestling Gre-R,- 48kg (light-flyweight),"PAVLOV, Aleksandr",Men,BLR,Belarus,M,Silver +Atlanta,1996,Wrestling,Wrestling Gre-R,52 - 57kg (bantamweight),"MELNICHENKO, Yuriy",Men,KAZ,Kazakhstan,M,Gold +Atlanta,1996,Wrestling,Wrestling Gre-R,62 - 68kg (lightweight),"WOLNY, Ryszard",Men,POL,Poland,M,Gold +Atlanta,1996,Wrestling,Wrestling Gre-R,- 48kg (light-flyweight),"GULYOV, Zafar",Men,RUS,Russia,M,Bronze +Atlanta,1996,Wrestling,Wrestling Gre-R,62 - 68kg (lightweight),"YOLOUZ, Ghani",Men,FRA,France,M,Silver +Atlanta,1996,Wrestling,Wrestling Gre-R,68 - 74kg (welterweight),"ASCUY AGUILERA, Feliberto",Men,CUB,Cuba,M,Gold +Atlanta,1996,Wrestling,Wrestling Gre-R,68 - 74kg (welterweight),"TRACZ, Jozef",Men,POL,Poland,M,Bronze +Atlanta,1996,Wrestling,Wrestling Gre-R,48 - 52kg (flyweight),"PAULSON, Brandon",Men,USA,United States,M,Silver +Atlanta,1996,Wrestling,Wrestling Gre-R,68 - 74kg (welterweight),"ASELL, Marko",Men,FIN,Finland,M,Silver +Sydney,2000,Aquatics,Diving,10m platform,"HU, Jia",Men,CHN,China,M,Silver +Sydney,2000,Aquatics,Diving,synchronized diving 10m platform,"GILMORE, Rebecca",Women,AUS,Australia,W,Bronze +Sydney,2000,Aquatics,Diving,synchronized diving 3m springboard,"ILYINA, Vera",Women,RUS,Russia,W,Gold +Sydney,2000,Aquatics,Diving,synchronized diving 10m platform,"TOURKY, Loudy",Women,AUS,Australia,W,Bronze +Sydney,2000,Aquatics,Diving,10m platform,"WILKINSON, Laura",Women,USA,United States,W,Gold +Sydney,2000,Aquatics,Diving,3m springboard,"GUO, Jingjing",Women,CHN,China,W,Silver +Sydney,2000,Aquatics,Diving,10m platform,"SAUTIN, Dmitry",Men,RUS,Russia,M,Bronze +Sydney,2000,Aquatics,Diving,synchronized diving 10m platform,"HU, Jia",Men,CHN,China,M,Silver +Sydney,2000,Aquatics,Diving,synchronized diving 3m springboard,"PULLAR, Dean",Men,AUS,Australia,M,Bronze +Sydney,2000,Aquatics,Diving,synchronized diving 3m springboard,"XIONG, Ni",Men,CHN,China,M,Gold +Sydney,2000,Aquatics,Diving,synchronized diving 10m platform,"HEMPEL, Jan",Men,GER,Germany,M,Bronze +Sydney,2000,Aquatics,Diving,synchronized diving 3m springboard,"XIAO, Hailiang",Men,CHN,China,M,Gold +Sydney,2000,Aquatics,Diving,synchronized diving 10m platform,"LI, Na",Women,CHN,China,W,Gold +Sydney,2000,Aquatics,Diving,10m platform,"MONTMINY, Anne Katherine",Women,CAN,Canada,W,Bronze +Sydney,2000,Aquatics,Diving,10m platform,"LI, Na",Women,CHN,China,W,Silver +Sydney,2000,Aquatics,Diving,3m springboard,"PLATAS, Fernando",Men,MEX,Mexico,M,Silver +Sydney,2000,Aquatics,Diving,synchronized diving 10m platform,"SANG, Xue",Women,CHN,China,W,Gold +Sydney,2000,Aquatics,Diving,3m springboard,"FU, Mingxia",Women,CHN,China,W,Gold +Sydney,2000,Aquatics,Diving,synchronized diving 3m springboard,"PAKHALINA, Ioulia",Women,RUS,Russia,W,Gold +Sydney,2000,Aquatics,Diving,synchronized diving 10m platform,"LOUKACHINE, Igor",Men,RUS,Russia,M,Gold +Sydney,2000,Aquatics,Diving,10m platform,"TIAN, Liang",Men,CHN,China,M,Gold +Sydney,2000,Aquatics,Diving,synchronized diving 3m springboard,"NEWBERY, Robert",Men,AUS,Australia,M,Bronze +Sydney,2000,Aquatics,Diving,synchronized diving 10m platform,"SAUTIN, Dmitry",Men,RUS,Russia,M,Gold +Sydney,2000,Aquatics,Diving,3m springboard,"LINDNER, Doerte",Women,GER,Germany,W,Bronze +Sydney,2000,Aquatics,Diving,synchronized diving 3m springboard,"FU, Mingxia",Women,CHN,China,W,Silver +Sydney,2000,Aquatics,Diving,synchronized diving 3m springboard,"SOROKINA, Ganna",Women,UKR,Ukraine,W,Bronze +Sydney,2000,Aquatics,Diving,synchronized diving 3m springboard,"GUO, Jingjing",Women,CHN,China,W,Silver +Sydney,2000,Aquatics,Diving,synchronized diving 3m springboard,"SAUTIN, Dmitry",Men,RUS,Russia,M,Silver +Sydney,2000,Aquatics,Diving,3m springboard,"XIONG, Ni",Men,CHN,China,M,Gold +Sydney,2000,Aquatics,Diving,3m springboard,"SAUTIN, Dmitry",Men,RUS,Russia,M,Bronze +Sydney,2000,Aquatics,Diving,synchronized diving 3m springboard,"DOBROSKOK, Alexandre",Men,RUS,Russia,M,Silver +Sydney,2000,Aquatics,Diving,synchronized diving 10m platform,"MEYER, Heiko",Men,GER,Germany,M,Bronze +Sydney,2000,Aquatics,Diving,synchronized diving 10m platform,"MONTMINY, Anne Katherine",Women,CAN,Canada,W,Silver +Sydney,2000,Aquatics,Diving,synchronized diving 3m springboard,"ZHUPINA, Olena",Women,UKR,Ukraine,W,Bronze +Sydney,2000,Aquatics,Diving,synchronized diving 10m platform,"HEYMANS, Emilie",Women,CAN,Canada,W,Silver +Sydney,2000,Aquatics,Diving,synchronized diving 10m platform,"TIAN, Liang",Men,CHN,China,M,Silver +Sydney,2000,Aquatics,Swimming,4x100m medley relay,"THOMPSON, Jenny",Women,USA,United States,W,Gold +Sydney,2000,Aquatics,Swimming,4x200m freestyle relay,"HACKETT, Grant",Men,AUS,Australia,M,Gold +Sydney,2000,Aquatics,Swimming,100m freestyle,"HALL, Gary Jr.",Men,USA,United States,M,Bronze +Sydney,2000,Aquatics,Swimming,4x100m freestyle relay,"ALSHAMMAR, Therese",Women,SWE,Sweden,W,Bronze +Sydney,2000,Aquatics,Swimming,4x200m freestyle relay,"STEFFEN, Britta",Women,GER,Germany,W,Bronze +Sydney,2000,Aquatics,Swimming,200m freestyle,"O'NEILL, Susan",Women,AUS,Australia,W,Gold +Sydney,2000,Aquatics,Swimming,200m individual medley,"CASLARU, Beatrice",Women,ROU,Romania,W,Silver +Sydney,2000,Aquatics,Swimming,400m individual medley,"TAJIMA, Yasuko",Women,JPN,Japan,W,Silver +Sydney,2000,Aquatics,Swimming,4x200m freestyle relay,"DAVIS, Josh",Men,USA,United States,M,Silver +Sydney,2000,Aquatics,Swimming,4x100m medley relay,"TANAKA, Masami",Women,JPN,Japan,W,Bronze +Sydney,2000,Aquatics,Swimming,4x200m freestyle relay,"THOMPSON, Jenny",Women,USA,United States,W,Gold +Sydney,2000,Aquatics,Swimming,100m backstroke,"MOCANU, Diana",Women,ROU,Romania,W,Gold +Sydney,2000,Aquatics,Swimming,4x100m freestyle relay,"JAYME, Carlos",Men,BRA,Brazil,M,Bronze +Sydney,2000,Aquatics,Swimming,4x100m medley relay,"ONISHI, Junko",Women,JPN,Japan,W,Bronze +Sydney,2000,Aquatics,Swimming,4x100m freestyle relay,"VAN DYKEN, Amy",Women,USA,United States,W,Gold +Sydney,2000,Aquatics,Swimming,100m butterfly,"HUEGILL, Geoff",Men,AUS,Australia,M,Bronze +Sydney,2000,Aquatics,Swimming,4x100m freestyle relay,"VAN RIJN, Wilma",Women,NED,Netherlands,W,Silver +Sydney,2000,Aquatics,Swimming,50m freestyle,"TORRES, Dara",Women,USA,United States,W,Bronze +Sydney,2000,Aquatics,Swimming,400m individual medley,"MYDEN, Curtis Allen",Men,CAN,Canada,M,Bronze +Sydney,2000,Aquatics,Swimming,4x100m medley relay,"THORPE, Ian",Men,AUS,Australia,M,Silver +Sydney,2000,Aquatics,Swimming,4x100m freestyle relay,"FYDLER, Christopher John",Men,AUS,Australia,M,Gold +Sydney,2000,Aquatics,Swimming,200m backstroke,"KRAYZELBURG, Lenny",Men,USA,United States,M,Gold +Sydney,2000,Aquatics,Swimming,4x200m freestyle relay,"VAN DEN HOOGENBAND, Pieter",Men,NED,Netherlands,M,Bronze +Sydney,2000,Aquatics,Swimming,200m freestyle,"THORPE, Ian",Men,AUS,Australia,M,Silver +Sydney,2000,Aquatics,Swimming,4x100m freestyle relay,"KLIM, Michael",Men,AUS,Australia,M,Gold +Sydney,2000,Aquatics,Swimming,200m individual medley,"ROSOLINO, Massimiliano",Men,ITA,Italy,M,Gold +Sydney,2000,Aquatics,Swimming,4x100m freestyle relay,"SILVA FILHO, Edvaldo",Men,BRA,Brazil,M,Bronze +Sydney,2000,Aquatics,Swimming,4x100m freestyle relay,"HALL, Gary Jr.",Men,USA,United States,M,Silver +Sydney,2000,Aquatics,Swimming,4x100m freestyle relay,"ERVIN, Anthony",Men,USA,United States,M,Silver +Sydney,2000,Aquatics,Swimming,4x100m freestyle relay,"SCHERER, Fernando",Men,BRA,Brazil,M,Bronze +Sydney,2000,Aquatics,Swimming,200m breaststroke,"KOWAL, Kristy",Women,USA,United States,W,Silver +Sydney,2000,Aquatics,Swimming,4x100m medley relay,"SPANNEBERG, Torsten",Men,GER,Germany,M,Bronze +Sydney,2000,Aquatics,Swimming,50m freestyle,"HALL, Gary Jr.",Men,USA,United States,M,Gold +Sydney,2000,Aquatics,Swimming,200m backstroke,"WELSH, Matthew",Men,AUS,Australia,M,Bronze +Sydney,2000,Aquatics,Swimming,200m freestyle,"VAN DEN HOOGENBAND, Pieter",Men,NED,Netherlands,M,Gold +Sydney,2000,Aquatics,Swimming,4x200m freestyle relay,"ARSENAULT, Samantha",Women,USA,United States,W,Gold +Sydney,2000,Aquatics,Swimming,4x200m freestyle relay,"ZUIJDWEG, Martijn",Men,NED,Netherlands,M,Bronze +Sydney,2000,Aquatics,Swimming,4x200m freestyle relay,"THORPE, Ian",Men,AUS,Australia,M,Gold +Sydney,2000,Aquatics,Swimming,800m freestyle,"SANDENO, Kaitlin",Women,USA,United States,W,Bronze +Sydney,2000,Aquatics,Swimming,50m freestyle,"ERVIN, Anthony",Men,USA,United States,M,Gold +Sydney,2000,Aquatics,Swimming,200m breaststroke,"FIORAVANTI, Domenico",Men,ITA,Italy,M,Gold +Sydney,2000,Aquatics,Swimming,4x100m medley relay,"THOMAS, Petria",Women,AUS,Australia,W,Silver +Sydney,2000,Aquatics,Swimming,100m breaststroke,"JONES, Leisel",Women,AUS,Australia,W,Silver +Sydney,2000,Aquatics,Swimming,4x200m freestyle relay,"ROONEY, Giaan",Women,AUS,Australia,W,Silver +Sydney,2000,Aquatics,Swimming,4x100m freestyle relay,"KAMMERLING, Anna-Karin",Women,SWE,Sweden,W,Bronze +Sydney,2000,Aquatics,Swimming,4x100m medley relay,"KLIM, Michael",Men,AUS,Australia,M,Silver +Sydney,2000,Aquatics,Swimming,4x200m freestyle relay,"KLIM, Michael",Men,AUS,Australia,M,Gold +Sydney,2000,Aquatics,Swimming,100m freestyle,"TORRES, Dara",Women,USA,United States,W,Bronze +Sydney,2000,Aquatics,Swimming,4x200m freestyle relay,"MUNZ, Diana",Women,USA,United States,W,Gold +Sydney,2000,Aquatics,Swimming,200m freestyle,"MORAVCOVA, Martina",Women,SVK,Slovakia,W,Silver +Sydney,2000,Aquatics,Swimming,4x100m freestyle relay,"VAN ROOIJEN, Manon",Women,NED,Netherlands,W,Silver +Sydney,2000,Aquatics,Swimming,4x100m freestyle relay,"SJOBERG, Johanna",Women,SWE,Sweden,W,Bronze +Sydney,2000,Aquatics,Swimming,200m butterfly,"O'NEILL, Susan",Women,AUS,Australia,W,Silver +Sydney,2000,Aquatics,Swimming,100m freestyle,"VAN DEN HOOGENBAND, Pieter",Men,NED,Netherlands,M,Gold +Sydney,2000,Aquatics,Swimming,200m breaststroke,"KOVACS, Agnes",Women,HUN,Hungary,W,Gold +Sydney,2000,Aquatics,Swimming,4x100m medley relay,"STITTS, Staciana",Women,USA,United States,W,Gold +Sydney,2000,Aquatics,Swimming,4x100m medley relay,"RUPPRATH, Thomas",Men,GER,Germany,M,Bronze +Sydney,2000,Aquatics,Swimming,200m backstroke,"MOCANU, Diana",Women,ROU,Romania,W,Gold +Sydney,2000,Aquatics,Swimming,400m freestyle,"MUNZ, Diana",Women,USA,United States,W,Silver +Sydney,2000,Aquatics,Swimming,4x200m freestyle relay,"THOMSON, Kirsten",Women,AUS,Australia,W,Silver +Sydney,2000,Aquatics,Swimming,4x100m medley relay,"O'NEILL, Susan",Women,AUS,Australia,W,Silver +Sydney,2000,Aquatics,Swimming,50m freestyle,"ALSHAMMAR, Therese",Women,SWE,Sweden,W,Silver +Sydney,2000,Aquatics,Swimming,200m breaststroke,"BEARD, Amanda",Women,USA,United States,W,Bronze +Sydney,2000,Aquatics,Swimming,100m backstroke,"ZHIVANEVSKAYA, Nina Alexandrovna",Women,ESP,Spain,W,Bronze +Sydney,2000,Aquatics,Swimming,4x100m medley relay,"WATSON, Josh",Men,AUS,Australia,M,Silver +Sydney,2000,Aquatics,Swimming,4x100m freestyle relay,"DE BRUIJN, Inge",Women,NED,Netherlands,W,Silver +Sydney,2000,Aquatics,Swimming,100m breaststroke,"MOSES, Ed",Men,USA,United States,M,Silver +Sydney,2000,Aquatics,Swimming,100m butterfly,"FROLANDER, Lars",Men,SWE,Sweden,M,Gold +Sydney,2000,Aquatics,Swimming,4x200m freestyle relay,"FREITAG, Meike",Women,GER,Germany,W,Bronze +Sydney,2000,Aquatics,Swimming,4x200m freestyle relay,"KELLER, Klete",Men,USA,United States,M,Silver +Sydney,2000,Aquatics,Swimming,400m freestyle,"ROSOLINO, Massimiliano",Men,ITA,Italy,M,Silver +Sydney,2000,Aquatics,Swimming,4x200m freestyle relay,"KIELGASS, Kerstin",Women,GER,Germany,W,Bronze +Sydney,2000,Aquatics,Swimming,4x100m medley relay,"HARRISON, Regan",Men,AUS,Australia,M,Silver +Sydney,2000,Aquatics,Swimming,4x100m medley relay,"WELSH, Matthew",Men,AUS,Australia,M,Silver +Sydney,2000,Aquatics,Swimming,100m breaststroke,"SLUDNOV, Roman",Men,RUS,Russia,M,Bronze +Sydney,2000,Aquatics,Swimming,4x100m medley relay,"NAKAMURA, Mai",Women,JPN,Japan,W,Bronze +Sydney,2000,Aquatics,Swimming,4x200m freestyle relay,"KIRBY, William",Men,AUS,Australia,M,Gold +Sydney,2000,Aquatics,Swimming,4x100m medley relay,"THELOKE, Stev",Men,GER,Germany,M,Bronze +Sydney,2000,Aquatics,Swimming,4x100m medley relay,"CALUB, Dyana",Women,AUS,Australia,W,Silver +Sydney,2000,Aquatics,Swimming,100m butterfly,"TORRES, Dara",Women,USA,United States,W,Bronze +Sydney,2000,Aquatics,Swimming,100m freestyle,"POPOV, Alexander",Men,RUS,Russia,M,Silver +Sydney,2000,Aquatics,Swimming,100m backstroke,"THELOKE, Stev",Men,GER,Germany,M,Bronze +Sydney,2000,Aquatics,Swimming,200m butterfly,"SYLANTYEV, Denys",Men,UKR,Ukraine,M,Silver +Sydney,2000,Aquatics,Swimming,4x200m freestyle relay,"PEARSON, Todd",Men,AUS,Australia,M,Gold +Sydney,2000,Aquatics,Swimming,4x100m medley relay,"CROCKER, Ian",Men,USA,United States,M,Gold +Sydney,2000,Aquatics,Swimming,4x100m medley relay,"KRUPPA, Jens",Men,GER,Germany,M,Bronze +Sydney,2000,Aquatics,Swimming,4x100m freestyle relay,"THOMPSON, Jenny",Women,USA,United States,W,Gold +Sydney,2000,Aquatics,Swimming,4x100m freestyle relay,"BORGES, Gustavo",Men,BRA,Brazil,M,Bronze +Sydney,2000,Aquatics,Swimming,4x100m medley relay,"WHITE, Tarnee",Women,AUS,Australia,W,Silver +Sydney,2000,Aquatics,Swimming,100m freestyle,"DE BRUIJN, Inge",Women,NED,Netherlands,W,Gold +Sydney,2000,Aquatics,Swimming,4x200m freestyle relay,"VAN ALMSICK, Franziska",Women,GER,Germany,W,Bronze +Sydney,2000,Aquatics,Swimming,800m freestyle,"KLOCHKOVA, Yana",Women,UKR,Ukraine,W,Silver +Sydney,2000,Aquatics,Swimming,1500m freestyle,"THOMPSON, Chris",Men,USA,United States,M,Bronze +Sydney,2000,Aquatics,Swimming,200m individual medley,"KLOCHKOVA, Yana",Women,UKR,Ukraine,W,Gold +Sydney,2000,Aquatics,Swimming,4x100m freestyle relay,"LEZAK, Jason",Men,USA,United States,M,Silver +Sydney,2000,Aquatics,Swimming,200m freestyle,"ROSOLINO, Massimiliano",Men,ITA,Italy,M,Bronze +Sydney,2000,Aquatics,Swimming,4x100m freestyle relay,"LILLHAGE, Josefin",Women,SWE,Sweden,W,Bronze +Sydney,2000,Aquatics,Swimming,4x200m freestyle relay,"THOMAS, Petria",Women,AUS,Australia,W,Silver +Sydney,2000,Aquatics,Swimming,4x100m medley relay,"MITCHELL, Ryan",Men,AUS,Australia,M,Silver +Sydney,2000,Aquatics,Swimming,4x200m freestyle relay,"GRAHAM, Elka",Women,AUS,Australia,W,Silver +Sydney,2000,Aquatics,Swimming,4x100m medley relay,"LEZAK, Jason",Men,USA,United States,M,Gold +Sydney,2000,Aquatics,Swimming,200m individual medley,"TEUSCHER, Cristina",Women,USA,United States,W,Bronze +Sydney,2000,Aquatics,Swimming,400m freestyle,"BENNETT, Brooke",Women,USA,United States,W,Gold +Sydney,2000,Aquatics,Swimming,200m breaststroke,"PARKIN, Terence",Men,RSA,South Africa,M,Silver +Sydney,2000,Aquatics,Swimming,4x100m medley relay,"QUANN, Megan",Women,USA,United States,W,Gold +Sydney,2000,Aquatics,Swimming,4x100m freestyle relay,"WALKER, Neil",Men,USA,United States,M,Silver +Sydney,2000,Aquatics,Swimming,100m backstroke,"NAKAMURA, Mai",Women,JPN,Japan,W,Silver +Sydney,2000,Aquatics,Swimming,4x100m freestyle relay,"PINE, Adam",Men,AUS,Australia,M,Gold +Sydney,2000,Aquatics,Swimming,4x100m medley relay,"HANNAN, Tommy",Men,USA,United States,M,Gold +Sydney,2000,Aquatics,Swimming,100m breaststroke,"QUANN, Megan",Women,USA,United States,W,Gold +Sydney,2000,Aquatics,Swimming,4x200m freestyle relay,"RAUCH, Jamie",Men,USA,United States,M,Silver +Sydney,2000,Aquatics,Swimming,400m individual medley,"CASLARU, Beatrice",Women,ROU,Romania,W,Bronze +Sydney,2000,Aquatics,Swimming,4x100m medley relay,"SHEALY, Courtney",Women,USA,United States,W,Gold +Sydney,2000,Aquatics,Swimming,200m butterfly,"THOMAS, Petria",Women,AUS,Australia,W,Bronze +Sydney,2000,Aquatics,Swimming,4x100m freestyle relay,"CALLUS, Ashley",Men,AUS,Australia,M,Gold +Sydney,2000,Aquatics,Swimming,200m butterfly,"HYMAN, Misty",Women,USA,United States,W,Gold +Sydney,2000,Aquatics,Swimming,400m individual medley,"VENDT, Erik",Men,USA,United States,M,Silver +Sydney,2000,Aquatics,Swimming,200m backstroke,"NAKAO, Miki",Women,JPN,Japan,W,Bronze +Sydney,2000,Aquatics,Swimming,400m freestyle,"POLL AHRENS, Claudia",Women,CRC,Costa Rica,W,Bronze +Sydney,2000,Aquatics,Swimming,4x200m freestyle relay,"KOWALSKI, Daniel",Men,AUS,Australia,M,Gold +Sydney,2000,Aquatics,Swimming,100m freestyle,"THOMPSON, Jenny",Women,USA,United States,W,Bronze +Sydney,2000,Aquatics,Swimming,400m freestyle,"THORPE, Ian",Men,AUS,Australia,M,Gold +Sydney,2000,Aquatics,Swimming,1500m freestyle,"HACKETT, Grant",Men,AUS,Australia,M,Gold +Sydney,2000,Aquatics,Swimming,200m breaststroke,"RUMMOLO, Davide",Men,ITA,Italy,M,Bronze +Sydney,2000,Aquatics,Swimming,400m individual medley,"KLOCHKOVA, Yana",Women,UKR,Ukraine,W,Gold +Sydney,2000,Aquatics,Swimming,4x200m freestyle relay,"BUSCHSCHULTE, Antje",Women,GER,Germany,W,Bronze +Sydney,2000,Aquatics,Swimming,4x100m freestyle relay,"THORPE, Ian",Men,AUS,Australia,M,Gold +Sydney,2000,Aquatics,Swimming,4x200m freestyle relay,"GOLDBLATT, Scott",Men,USA,United States,M,Silver +Sydney,2000,Aquatics,Swimming,100m butterfly,"MORAVCOVA, Martina",Women,SVK,Slovakia,W,Silver +Sydney,2000,Aquatics,Swimming,800m freestyle,"BENNETT, Brooke",Women,USA,United States,W,Gold +Sydney,2000,Aquatics,Swimming,4x100m freestyle relay,"DAVIS, Josh",Men,USA,United States,M,Silver +Sydney,2000,Aquatics,Swimming,200m butterfly,"NORRIS, Justin",Men,AUS,Australia,M,Bronze +Sydney,2000,Aquatics,Swimming,100m backstroke,"KRAYZELBURG, Lenny",Men,USA,United States,M,Gold +Sydney,2000,Aquatics,Swimming,1500m freestyle,"PERKINS, Kieren John",Men,AUS,Australia,M,Silver +Sydney,2000,Aquatics,Swimming,4x100m medley relay,"HALL, Gary Jr.",Men,USA,United States,M,Gold +Sydney,2000,Aquatics,Swimming,4x100m medley relay,"MOSES, Ed",Men,USA,United States,M,Gold +Sydney,2000,Aquatics,Swimming,4x200m freestyle relay,"KENKHUIS, Johan",Men,NED,Netherlands,M,Bronze +Sydney,2000,Aquatics,Swimming,100m butterfly,"KLIM, Michael",Men,AUS,Australia,M,Silver +Sydney,2000,Aquatics,Swimming,4x200m freestyle relay,"O'NEILL, Susan",Women,AUS,Australia,W,Silver +Sydney,2000,Aquatics,Swimming,4x100m medley relay,"KRAYZELBURG, Lenny",Men,USA,United States,M,Gold +Sydney,2000,Aquatics,Swimming,100m backstroke,"WELSH, Matthew",Men,AUS,Australia,M,Silver +Sydney,2000,Aquatics,Swimming,4x100m medley relay,"RYAN, Sarah",Women,AUS,Australia,W,Silver +Sydney,2000,Aquatics,Swimming,4x100m freestyle relay,"TAPPIN, Ashley T",Women,USA,United States,W,Gold +Sydney,2000,Aquatics,Swimming,200m backstroke,"MARACINEANU, Roxana",Women,FRA,France,W,Silver +Sydney,2000,Aquatics,Swimming,4x100m medley relay,"VAN DYKEN, Amy",Women,USA,United States,W,Gold +Sydney,2000,Aquatics,Swimming,4x100m freestyle relay,"TORRES, Dara",Women,USA,United States,W,Gold +Sydney,2000,Aquatics,Swimming,4x100m medley relay,"TORRES, Dara",Women,USA,United States,W,Gold +Sydney,2000,Aquatics,Swimming,4x100m freestyle relay,"GROOT, Chantal",Women,NED,Netherlands,W,Silver +Sydney,2000,Aquatics,Swimming,200m backstroke,"PEIRSOL, Aaron",Men,USA,United States,M,Silver +Sydney,2000,Aquatics,Swimming,4x100m medley relay,"BEDFORD, B J",Women,USA,United States,W,Gold +Sydney,2000,Aquatics,Swimming,4x200m freestyle relay,"WOUDA, Marcel",Men,NED,Netherlands,M,Bronze +Sydney,2000,Aquatics,Swimming,4x100m freestyle relay,"SHEALY, Courtney",Women,USA,United States,W,Gold +Sydney,2000,Aquatics,Swimming,4x100m freestyle relay,"JOHNCKE, Louise",Women,SWE,Sweden,W,Bronze +Sydney,2000,Aquatics,Swimming,400m individual medley,"DOLAN, Tom",Men,USA,United States,M,Gold +Sydney,2000,Aquatics,Swimming,200m individual medley,"DOLAN, Tom",Men,USA,United States,M,Silver +Sydney,2000,Aquatics,Swimming,4x200m freestyle relay,"VAN DER ZIJDEN, Mark",Men,NED,Netherlands,M,Bronze +Sydney,2000,Aquatics,Swimming,4x100m freestyle relay,"PEARSON, Todd",Men,AUS,Australia,M,Gold +Sydney,2000,Aquatics,Swimming,4x100m freestyle relay,"PHENIX, Erin Ashley",Women,USA,United States,W,Gold +Sydney,2000,Aquatics,Swimming,4x200m freestyle relay,"BLACK, Kim",Women,USA,United States,W,Gold +Sydney,2000,Aquatics,Swimming,100m breaststroke,"HEYNS, Penelope",Women,RSA,South Africa,W,Bronze +Sydney,2000,Aquatics,Swimming,4x200m freestyle relay,"DUSING, Nate",Men,USA,United States,M,Silver +Sydney,2000,Aquatics,Swimming,4x200m freestyle relay,"VAN LINT, Jacinta",Women,AUS,Australia,W,Silver +Sydney,2000,Aquatics,Swimming,4x100m medley relay,"TAPPIN, Ashley T",Women,USA,United States,W,Gold +Sydney,2000,Aquatics,Swimming,4x100m medley relay,"ROONEY, Giaan",Women,AUS,Australia,W,Silver +Sydney,2000,Aquatics,Swimming,4x200m freestyle relay,"STOWERS, Julia",Women,USA,United States,W,Gold +Sydney,2000,Aquatics,Swimming,100m freestyle,"ALSHAMMAR, Therese",Women,SWE,Sweden,W,Silver +Sydney,2000,Aquatics,Swimming,200m individual medley,"WILKENS, Tom",Men,USA,United States,M,Bronze +Sydney,2000,Aquatics,Swimming,100m breaststroke,"FIORAVANTI, Domenico",Men,ITA,Italy,M,Gold +Sydney,2000,Aquatics,Swimming,50m freestyle,"VAN DEN HOOGENBAND, Pieter",Men,NED,Netherlands,M,Bronze +Sydney,2000,Aquatics,Swimming,4x200m freestyle relay,"HARSTICK, Sara",Women,GER,Germany,W,Bronze +Sydney,2000,Aquatics,Swimming,4x100m freestyle relay,"HENNEKEN, Thamar",Women,NED,Netherlands,W,Silver +Sydney,2000,Aquatics,Swimming,200m butterfly,"MALCHOW, Tom",Men,USA,United States,M,Gold +Sydney,2000,Aquatics,Swimming,4x200m freestyle relay,"CARVIN, Chad",Men,USA,United States,M,Silver +Sydney,2000,Aquatics,Swimming,4x100m medley relay,"PINE, Adam",Men,AUS,Australia,M,Silver +Sydney,2000,Aquatics,Swimming,4x100m medley relay,"HUEGILL, Geoff",Men,AUS,Australia,M,Silver +Sydney,2000,Aquatics,Swimming,4x100m medley relay,"JONES, Leisel",Women,AUS,Australia,W,Silver +Sydney,2000,Aquatics,Swimming,200m freestyle,"POLL AHRENS, Claudia",Women,CRC,Costa Rica,W,Bronze +Sydney,2000,Aquatics,Swimming,400m freestyle,"KELLER, Klete",Men,USA,United States,M,Bronze +Sydney,2000,Aquatics,Swimming,50m freestyle,"DE BRUIJN, Inge",Women,NED,Netherlands,W,Gold +Sydney,2000,Aquatics,Swimming,4x100m freestyle relay,"TUCKER, Scott",Men,USA,United States,M,Silver +Sydney,2000,Aquatics,Swimming,4x200m freestyle relay,"BENKO, Lindsay",Women,USA,United States,W,Gold +Sydney,2000,Aquatics,Swimming,4x100m medley relay,"WALKER, Neil",Men,USA,United States,M,Gold +Sydney,2000,Aquatics,Swimming,4x100m freestyle relay,"SVAHNSTROM, Malin",Women,SWE,Sweden,W,Bronze +Sydney,2000,Aquatics,Swimming,100m butterfly,"DE BRUIJN, Inge",Women,NED,Netherlands,W,Gold +Sydney,2000,Aquatics,Swimming,4x100m medley relay,"MINAMOTO, Sumika",Women,JPN,Japan,W,Bronze +Sydney,2000,Aquatics,Synchronized S.,duet,"LIGNOT, Myriam",Women,FRA,France,W,Bronze +Sydney,2000,Aquatics,Synchronized S.,team,"CARVER-DIAS, Claire",Women,CAN,Canada,W,Bronze +Sydney,2000,Aquatics,Synchronized S.,duet,"DEDIEU, Virginie",Women,FRA,France,W,Bronze +Sydney,2000,Aquatics,Synchronized S.,duet,"KISSELEVA, Maria",Women,RUS,Russia,W,Gold +Sydney,2000,Aquatics,Synchronized S.,team,"TAILLON, Jacinthe",Women,CAN,Canada,W,Bronze +Sydney,2000,Aquatics,Synchronized S.,team,"NOVOKSHCHENOVA, Olga",Women,RUS,Russia,W,Gold +Sydney,2000,Aquatics,Synchronized S.,team,"BRUSNIKINA, Olga",Women,RUS,Russia,W,Gold +Sydney,2000,Aquatics,Synchronized S.,team,"TACHIBANA, Miya",Women,JPN,Japan,W,Silver +Sydney,2000,Aquatics,Synchronized S.,team,"VASILIEVA, Yulia",Women,RUS,Russia,W,Gold +Sydney,2000,Aquatics,Synchronized S.,team,"BEAUMONT, Lyne",Women,CAN,Canada,W,Bronze +Sydney,2000,Aquatics,Synchronized S.,duet,"TACHIBANA, Miya",Women,JPN,Japan,W,Silver +Sydney,2000,Aquatics,Synchronized S.,team,"SOIA, Elena",Women,RUS,Russia,W,Gold +Sydney,2000,Aquatics,Synchronized S.,team,"CHAN, Erin",Women,CAN,Canada,W,Bronze +Sydney,2000,Aquatics,Synchronized S.,team,"EGAMI, Ayano",Women,JPN,Japan,W,Silver +Sydney,2000,Aquatics,Synchronized S.,team,"ISODA, Yoko",Women,JPN,Japan,W,Silver +Sydney,2000,Aquatics,Synchronized S.,team,"TATHAM, Reidun",Women,CAN,Canada,W,Bronze +Sydney,2000,Aquatics,Synchronized S.,team,"JIMBO, Rei",Women,JPN,Japan,W,Silver +Sydney,2000,Aquatics,Synchronized S.,duet,"BRUSNIKINA, Olga",Women,RUS,Russia,W,Gold +Sydney,2000,Aquatics,Synchronized S.,team,"AZAROVA, Elena",Women,RUS,Russia,W,Gold +Sydney,2000,Aquatics,Synchronized S.,team,"TAKEDA, Miho",Women,JPN,Japan,W,Silver +Sydney,2000,Aquatics,Synchronized S.,team,"KISSELEVA, Maria",Women,RUS,Russia,W,Gold +Sydney,2000,Aquatics,Synchronized S.,team,"LETOURNEAU, Fanny",Women,CAN,Canada,W,Bronze +Sydney,2000,Aquatics,Synchronized S.,team,"FUJII, Raika",Women,JPN,Japan,W,Silver +Sydney,2000,Aquatics,Synchronized S.,duet,"TAKEDA, Miho",Women,JPN,Japan,W,Silver +Sydney,2000,Aquatics,Synchronized S.,team,"VASSIOUKOVA, Olga",Women,RUS,Russia,W,Gold +Sydney,2000,Aquatics,Synchronized S.,team,"NORMAND, Kirstin",Women,CAN,Canada,W,Bronze +Sydney,2000,Aquatics,Synchronized S.,team,"PERCHINA, Irina",Women,RUS,Russia,W,Gold +Sydney,2000,Aquatics,Synchronized S.,team,"YONEDA, Yoko",Women,JPN,Japan,W,Silver +Sydney,2000,Aquatics,Synchronized S.,team,"GARCEAU, Catherine",Women,CAN,Canada,W,Bronze +Sydney,2000,Aquatics,Synchronized S.,team,"YONEDA, Yuko",Women,JPN,Japan,W,Silver +Sydney,2000,Aquatics,Water polo,water polo,"HIGGINS, Yvette",Women,AUS,Australia,W,Gold +Sydney,2000,Aquatics,Water polo,water polo,"SZECSI, Zoltan",Men,HUN,Hungary,M,Gold +Sydney,2000,Aquatics,Water polo,water polo,"CASTLE, Naomi",Women,AUS,Australia,W,Gold +Sydney,2000,Aquatics,Water polo,water polo,"REKETCHINSKI, Andrei",Men,RUS,Russia,M,Silver +Sydney,2000,Aquatics,Water polo,water polo,"SMUROVA, Elena",Women,RUS,Russia,W,Bronze +Sydney,2000,Aquatics,Water polo,water polo,"VARI, Attila",Men,HUN,Hungary,M,Gold +Sydney,2000,Aquatics,Water polo,water polo,"WATSON, Debbie",Women,AUS,Australia,W,Gold +Sydney,2000,Aquatics,Water polo,water polo,"FOX, Joanne",Women,AUS,Australia,W,Gold +Sydney,2000,Aquatics,Water polo,water polo,"KONOUKH, Sofia",Women,RUS,Russia,W,Bronze +Sydney,2000,Aquatics,Water polo,water polo,"SHEEHY, Kathy",Women,USA,United States,W,Silver +Sydney,2000,Aquatics,Water polo,water polo,"VASSILIEVA, Ekaterina",Women,RUS,Russia,W,Bronze +Sydney,2000,Aquatics,Water polo,water polo,"TRBOJEVIC, Petar",Men,YUG,Yugoslavia,M,Bronze +Sydney,2000,Aquatics,Water polo,water polo,"SWAIL, Julie",Women,USA,United States,W,Silver +Sydney,2000,Aquatics,Water polo,water polo,"PAYNE, Nicolle",Women,USA,United States,W,Silver +Sydney,2000,Aquatics,Water polo,water polo,"MARCZ, Tamas",Men,HUN,Hungary,M,Gold +Sydney,2000,Aquatics,Water polo,water polo,"GARBOUZOV, Serguei",Men,RUS,Russia,M,Silver +Sydney,2000,Aquatics,Water polo,water polo,"KULJACA, Nikola",Men,YUG,Yugoslavia,M,Bronze +Sydney,2000,Aquatics,Water polo,water polo,"WOODHOUSE, Danielle",Women,AUS,Australia,W,Gold +Sydney,2000,Aquatics,Water polo,water polo,"MAYER, Bronwyn",Women,AUS,Australia,W,Gold +Sydney,2000,Aquatics,Water polo,water polo,"ORWIG, Bernice",Women,USA,United States,W,Silver +Sydney,2000,Aquatics,Water polo,water polo,"PETRI, Heather",Women,USA,United States,W,Silver +Sydney,2000,Aquatics,Water polo,water polo,"MILLS, Melissa",Women,AUS,Australia,W,Gold +Sydney,2000,Aquatics,Water polo,water polo,"WEEKES, Liz",Women,AUS,Australia,W,Gold +Sydney,2000,Aquatics,Water polo,water polo,"GUSTERSON, Bridgette",Women,AUS,Australia,W,Gold +Sydney,2000,Aquatics,Water polo,water polo,"KOROLEVA, Maria",Women,RUS,Russia,W,Bronze +Sydney,2000,Aquatics,Water polo,water polo,"ANIKEEVA, Ekaterina",Women,RUS,Russia,W,Bronze +Sydney,2000,Aquatics,Water polo,water polo,"KASAS, Tamas",Men,HUN,Hungary,M,Gold +Sydney,2000,Aquatics,Water polo,water polo,"RYTOVA, Galina",Women,RUS,Russia,W,Bronze +Sydney,2000,Aquatics,Water polo,water polo,"HOOPER, Kate",Women,AUS,Australia,W,Gold +Sydney,2000,Aquatics,Water polo,water polo,"USKOKOVIC, Veljko",Men,YUG,Yugoslavia,M,Bronze +Sydney,2000,Aquatics,Water polo,water polo,"STRATAN, Dmitri",Men,RUS,Russia,M,Silver +Sydney,2000,Aquatics,Water polo,water polo,"ERYSHOV, Alexandre",Men,RUS,Russia,M,Silver +Sydney,2000,Aquatics,Water polo,water polo,"PETROVA, Ioulia",Women,RUS,Russia,W,Bronze +Sydney,2000,Aquatics,Water polo,water polo,"KOSZ, Zoltan",Men,HUN,Hungary,M,Gold +Sydney,2000,Aquatics,Water polo,water polo,"HANKIN, Simone",Women,AUS,Australia,W,Gold +Sydney,2000,Aquatics,Water polo,water polo,"VASOVIC, Jugoslav",Men,YUG,Yugoslavia,M,Bronze +Sydney,2000,Aquatics,Water polo,water polo,"VUJASINOVIC, Vladimir",Men,YUG,Yugoslavia,M,Bronze +Sydney,2000,Aquatics,Water polo,water polo,"GORSHKOV, Dmitry",Men,RUS,Russia,M,Silver +Sydney,2000,Aquatics,Water polo,water polo,"WOODS, Taryn",Women,AUS,Australia,W,Gold +Sydney,2000,Aquatics,Water polo,water polo,"SAVIC, Dejan",Men,YUG,Yugoslavia,M,Bronze +Sydney,2000,Aquatics,Water polo,water polo,"BENEDEK, Tibor",Men,HUN,Hungary,M,Gold +Sydney,2000,Aquatics,Water polo,water polo,"PETROVA, Tatiana",Women,RUS,Russia,W,Bronze +Sydney,2000,Aquatics,Water polo,water polo,"VARGA, Zsolt",Men,HUN,Hungary,M,Gold +Sydney,2000,Aquatics,Water polo,water polo,"SAPIC, Aleksandar",Men,YUG,Yugoslavia,M,Bronze +Sydney,2000,Aquatics,Water polo,water polo,"CIRIC, Aleksandar",Men,YUG,Yugoslavia,M,Bronze +Sydney,2000,Aquatics,Water polo,water polo,"MAXIMOV, Nikolai",Men,RUS,Russia,M,Silver +Sydney,2000,Aquatics,Water polo,water polo,"ESTES, Ellen",Women,USA,United States,W,Silver +Sydney,2000,Aquatics,Water polo,water polo,"SOSTAR, Aleksandar",Men,YUG,Yugoslavia,M,Bronze +Sydney,2000,Aquatics,Water polo,water polo,"MILLER, Gail",Women,AUS,Australia,W,Gold +Sydney,2000,Aquatics,Water polo,water polo,"LORENZ, Ericka",Women,USA,United States,W,Silver +Sydney,2000,Aquatics,Water polo,water polo,"MOLNAR, Tamas",Men,HUN,Hungary,M,Gold +Sydney,2000,Aquatics,Water polo,water polo,"ZINNOUROV, Irek",Men,RUS,Russia,M,Silver +Sydney,2000,Aquatics,Water polo,water polo,"JOHNSON, Courtney",Women,USA,United States,W,Silver +Sydney,2000,Aquatics,Water polo,water polo,"SZEKELY, Bulcsu",Men,HUN,Hungary,M,Gold +Sydney,2000,Aquatics,Water polo,water polo,"KOUTOUZOVA, Natalia",Women,RUS,Russia,W,Bronze +Sydney,2000,Aquatics,Water polo,water polo,"MOODY, Heather",Women,USA,United States,W,Silver +Sydney,2000,Aquatics,Water polo,water polo,"ZIMONJIC, Predrag",Men,YUG,Yugoslavia,M,Bronze +Sydney,2000,Aquatics,Water polo,water polo,"ZAKIROV, Marat",Men,RUS,Russia,M,Silver +Sydney,2000,Aquatics,Water polo,water polo,"STEINMETZ, Barnabas",Men,HUN,Hungary,M,Gold +Sydney,2000,Aquatics,Water polo,water polo,"AKOBIA, Marina",Women,RUS,Russia,W,Bronze +Sydney,2000,Aquatics,Water polo,water polo,"TOKOUN, Elena",Women,RUS,Russia,W,Bronze +Sydney,2000,Aquatics,Water polo,water polo,"JELENIC, Viktor",Men,YUG,Yugoslavia,M,Bronze +Sydney,2000,Aquatics,Water polo,water polo,"KOUZINA, Svetlana",Women,RUS,Russia,W,Bronze +Sydney,2000,Aquatics,Water polo,water polo,"IKODINOVIC, Danilo",Men,YUG,Yugoslavia,M,Bronze +Sydney,2000,Aquatics,Water polo,water polo,"VILLA, Brenda",Women,USA,United States,W,Silver +Sydney,2000,Aquatics,Water polo,water polo,"KISS, Gergely",Men,HUN,Hungary,M,Gold +Sydney,2000,Aquatics,Water polo,water polo,"FODOR, Rajmund",Men,HUN,Hungary,M,Gold +Sydney,2000,Aquatics,Water polo,water polo,"TCHOMAKHIDZE, Revaz",Men,RUS,Russia,M,Silver +Sydney,2000,Aquatics,Water polo,water polo,"BIROS, Peter",Men,HUN,Hungary,M,Gold +Sydney,2000,Aquatics,Water polo,water polo,"TOLKOUNOVA, Irina",Women,RUS,Russia,W,Bronze +Sydney,2000,Aquatics,Water polo,water polo,"KOZLOV, Nikolai",Men,RUS,Russia,M,Silver +Sydney,2000,Aquatics,Water polo,water polo,"VUKANIC, Nenad",Men,YUG,Yugoslavia,M,Bronze +Sydney,2000,Aquatics,Water polo,water polo,"IATSEV, Iouri",Men,RUS,Russia,M,Silver +Sydney,2000,Aquatics,Water polo,water polo,"DOUGUINE, Dmitri",Men,RUS,Russia,M,Silver +Sydney,2000,Aquatics,Water polo,water polo,"BEAUREGARD, Robin",Women,USA,United States,W,Silver +Sydney,2000,Aquatics,Water polo,water polo,"SIMMONS, Coralie",Women,USA,United States,W,Silver +Sydney,2000,Aquatics,Water polo,water polo,"BALACHOV, Roman",Men,RUS,Russia,M,Silver +Sydney,2000,Aquatics,Water polo,water polo,"O'TOOLE, Maureen",Women,USA,United States,W,Silver +Sydney,2000,Archery,Archery,team (FITA Olympic round - 70m),"KIM, Soo-Nyung",Women,KOR,"Korea, South",W,Gold +Sydney,2000,Archery,Archery,team (FITA Olympic round - 70m),"BISIANI, Matteo",Men,ITA,Italy,M,Silver +Sydney,2000,Archery,Archery,team (FITA Olympic round - 70m),"JOHNSON, Richard",Men,USA,United States,M,Bronze +Sydney,2000,Archery,Archery,individual (FITA Olympic round - 70m),"YUN, Mi-Jin",Women,KOR,"Korea, South",W,Gold +Sydney,2000,Archery,Archery,team (FITA Olympic round - 70m),"KIM, Nam-Soon",Women,KOR,"Korea, South",W,Gold +Sydney,2000,Archery,Archery,team (FITA Olympic round - 70m),"YUN, Mi-Jin",Women,KOR,"Korea, South",W,Gold +Sydney,2000,Archery,Archery,individual (FITA Olympic round - 70m),"KIM, Nam-Soon",Women,KOR,"Korea, South",W,Silver +Sydney,2000,Archery,Archery,team (FITA Olympic round - 70m),"MENSING, Barbara",Women,GER,Germany,W,Bronze +Sydney,2000,Archery,Archery,team (FITA Olympic round - 70m),"WAGNER, Sandra",Women,GER,Germany,W,Bronze +Sydney,2000,Archery,Archery,individual (FITA Olympic round - 70m),"FAIRWEATHER, Simon",Men,AUS,Australia,M,Gold +Sydney,2000,Archery,Archery,team (FITA Olympic round - 70m),"SERDYUK, Kateryna",Women,UKR,Ukraine,W,Silver +Sydney,2000,Archery,Archery,team (FITA Olympic round - 70m),"OH, Kyo-Moon",Men,KOR,"Korea, South",M,Gold +Sydney,2000,Archery,Archery,team (FITA Olympic round - 70m),"BURDEYNA, Nataliya",Women,UKR,Ukraine,W,Silver +Sydney,2000,Archery,Archery,individual (FITA Olympic round - 70m),"VAN ALTEN, Wietse",Men,NED,Netherlands,M,Bronze +Sydney,2000,Archery,Archery,team (FITA Olympic round - 70m),"DI BUO, Ilario",Men,ITA,Italy,M,Silver +Sydney,2000,Archery,Archery,team (FITA Olympic round - 70m),"SADOVNYCHA, Olena",Women,UKR,Ukraine,W,Silver +Sydney,2000,Archery,Archery,team (FITA Olympic round - 70m),"FRANGILLI, Michele",Men,ITA,Italy,M,Silver +Sydney,2000,Archery,Archery,individual (FITA Olympic round - 70m),"WUNDERLE, Victor",Men,USA,United States,M,Silver +Sydney,2000,Archery,Archery,team (FITA Olympic round - 70m),"WHITE, Rodney",Men,USA,United States,M,Bronze +Sydney,2000,Archery,Archery,team (FITA Olympic round - 70m),"PFOHL, Cornelia",Women,GER,Germany,W,Bronze +Sydney,2000,Archery,Archery,individual (FITA Olympic round - 70m),"KIM, Soo-Nyung",Women,KOR,"Korea, South",W,Bronze +Sydney,2000,Archery,Archery,team (FITA Olympic round - 70m),"JANG, Yong-Ho",Men,KOR,"Korea, South",M,Gold +Sydney,2000,Archery,Archery,team (FITA Olympic round - 70m),"KIM, Chung-Tae",Men,KOR,"Korea, South",M,Gold +Sydney,2000,Archery,Archery,team (FITA Olympic round - 70m),"WUNDERLE, Victor",Men,USA,United States,M,Bronze +Sydney,2000,Athletics,Athletics,discus throw,"ALEKNA, Virgilijus",Men,LTU,Lithuania,M,Gold +Sydney,2000,Athletics,Athletics,high jump,"SOTOMAYOR, Javier",Men,CUB,Cuba,M,Silver +Sydney,2000,Athletics,Athletics,400m hurdles,"SOMAYLI, Hadi",Men,KSA,Saudi Arabia,M,Silver +Sydney,2000,Athletics,Athletics,800m,"KIPKETER, Wilson",Men,DEN,Denmark,M,Silver +Sydney,2000,Athletics,Athletics,400m hurdles,"HERBERT, Llewellyn",Men,RSA,South Africa,M,Bronze +Sydney,2000,Athletics,Athletics,4x400m relay,"HAUGHTON, Greg",Men,JAM,Jamaica,M,Bronze +Sydney,2000,Athletics,Athletics,4x100m relay,"RICHARDSON, Passion",Women,USA,United States,W,Bronze +Sydney,2000,Athletics,Athletics,high jump,"KLIUGIN, Sergey",Men,RUS,Russia,M,Gold +Sydney,2000,Athletics,Athletics,1500m,"SZABO, Gabriela",Women,ROU,Romania,W,Bronze +Sydney,2000,Athletics,Athletics,long jump,"DRECHSLER, Heike",Women,GER,Germany,W,Gold +Sydney,2000,Athletics,Athletics,50km walk,"FADEJEVS, Aigars",Men,LAT,Latvia,M,Silver +Sydney,2000,Athletics,Athletics,4x100m relay,"SILVA, Claudinei",Men,BRA,Brazil,M,Silver +Sydney,2000,Athletics,Athletics,hammer throw,"SKOLIMOWSKA, Kamila",Women,POL,Poland,W,Gold +Sydney,2000,Athletics,Athletics,4x400m relay,"MONYE, Jude",Men,NGR,Nigeria,M,Silver +Sydney,2000,Athletics,Athletics,discus throw,"KRUGER, Frantz",Men,RSA,South Africa,M,Bronze +Sydney,2000,Athletics,Athletics,100m hurdles,"SHISHIGINA, Olga",Women,KAZ,Kazakhstan,W,Gold +Sydney,2000,Athletics,Athletics,10000m,"GEBRSELASSIE, Haile",Men,ETH,Ethiopia,M,Gold +Sydney,2000,Athletics,Athletics,5000m,"SZABO, Gabriela",Women,ROU,Romania,W,Gold +Sydney,2000,Athletics,Athletics,high jump,"CLOETE, Hestrie",Women,RSA,South Africa,W,Silver +Sydney,2000,Athletics,Athletics,javelin throw,"HATTESTAD, Trine",Women,NOR,Norway,W,Gold +Sydney,2000,Athletics,Athletics,10000m,"WAMI, Gete",Women,ETH,Ethiopia,W,Silver +Sydney,2000,Athletics,Athletics,4x100m relay,"MAYOLA, Freddy",Men,CUB,Cuba,M,Bronze +Sydney,2000,Athletics,Athletics,triple jump,"KAPUSTIN, Denis",Men,RUS,Russia,M,Bronze +Sydney,2000,Athletics,Athletics,4x400m relay,"SCOTT-POMALES, Catherine",Women,JAM,Jamaica,W,Silver +Sydney,2000,Athletics,Athletics,400m,"HAUGHTON, Greg",Men,JAM,Jamaica,M,Bronze +Sydney,2000,Athletics,Athletics,heptathlon,"SAZANOVICH, Natalya",Women,BLR,Belarus,W,Bronze +Sydney,2000,Athletics,Athletics,4x100m relay,"PEREZ, Luis Alberto",Men,CUB,Cuba,M,Bronze +Sydney,2000,Athletics,Athletics,4x100m relay,"LEWIS, Brian",Men,USA,United States,M,Gold +Sydney,2000,Athletics,Athletics,long jump,"SCHURENKO, Roman",Men,UKR,Ukraine,M,Bronze +Sydney,2000,Athletics,Athletics,10000m,"TULU, Derartu",Women,ETH,Ethiopia,W,Gold +Sydney,2000,Athletics,Athletics,4x400m relay,"BLACKWOOD, Michael",Men,JAM,Jamaica,M,Bronze +Sydney,2000,Athletics,Athletics,20km race walk,"VASCO, Maria",Women,ESP,Spain,W,Bronze +Sydney,2000,Athletics,Athletics,javelin throw,"MANIANI-TZELILI, Mirella",Women,GRE,Greece,W,Silver +Sydney,2000,Athletics,Athletics,4x400m relay,"COLANDER, LaTasha",Women,USA,United States,W,Gold +Sydney,2000,Athletics,Athletics,4x400m relay,"GONCHARENKO, Svetlana",Women,RUS,Russia,W,Bronze +Sydney,2000,Athletics,Athletics,4x100m relay,"FYNES, Sevatheda",Women,BAH,Bahamas,W,Gold +Sydney,2000,Athletics,Athletics,3000m steeplechase,"EZZINE, Ali",Men,MAR,Morocco,M,Bronze +Sydney,2000,Athletics,Athletics,10000m,"MEZGEBU, Assefa",Men,ETH,Ethiopia,M,Bronze +Sydney,2000,Athletics,Athletics,110m hurdles,"GARCIA, Anier",Men,CUB,Cuba,M,Gold +Sydney,2000,Athletics,Athletics,4x100m relay,"SOUZA, Claudio Roberto",Men,BRA,Brazil,M,Silver +Sydney,2000,Athletics,Athletics,pole vault,"HYSONG, Nick",Men,USA,United States,M,Gold +Sydney,2000,Athletics,Athletics,4x100m relay,"LAWRENCE, Tanya",Women,JAM,Jamaica,W,Silver +Sydney,2000,Athletics,Athletics,hammer throw,"VIZZONI, Nicola",Men,ITA,Italy,M,Silver +Sydney,2000,Athletics,Athletics,hammer throw,"KUZENKOVA, Olga",Women,RUS,Russia,W,Silver +Sydney,2000,Athletics,Athletics,5000m,"WOLDE, Millon",Men,ETH,Ethiopia,M,Gold +Sydney,2000,Athletics,Athletics,4x400m relay,"WILLIAMS, Christopher",Men,JAM,Jamaica,M,Bronze +Sydney,2000,Athletics,Athletics,pole vault,"TARASOV, Maksim",Men,RUS,Russia,M,Bronze +Sydney,2000,Athletics,Athletics,400m,"GRAHAM, Lorraine",Women,JAM,Jamaica,W,Silver +Sydney,2000,Athletics,Athletics,javelin throw,"MENENDEZ, Osleidys",Women,CUB,Cuba,W,Bronze +Sydney,2000,Athletics,Athletics,200m,"DAVIS, Pauline Elaine",Women,BAH,Bahamas,W,Gold +Sydney,2000,Athletics,Athletics,4x100m relay,"CESAR, Jose Angel",Men,CUB,Cuba,M,Bronze +Sydney,2000,Athletics,Athletics,decathlon,"NOOL, Erki",Men,EST,Estonia,M,Gold +Sydney,2000,Athletics,Athletics,shot put,"KAROLCHIK, Yanina",Women,BLR,Belarus,W,Gold +Sydney,2000,Athletics,Athletics,long jump,"PEDROSO, Ivan",Men,CUB,Cuba,M,Gold +Sydney,2000,Athletics,Athletics,4x400m relay,"HEMMINGS, Deon Marie",Women,JAM,Jamaica,W,Silver +Sydney,2000,Athletics,Athletics,hammer throw,"ZIOLKOWSKI, Szymon",Men,POL,Poland,M,Gold +Sydney,2000,Athletics,Athletics,100m,"BOLDON, Ato",Men,TRI,Trinidad and Tobago,M,Silver +Sydney,2000,Athletics,Athletics,400m,"HARRISON, Alvin",Men,USA,United States,M,Silver +Sydney,2000,Athletics,Athletics,200m,"BOLDON, Ato",Men,TRI,Trinidad and Tobago,M,Bronze +Sydney,2000,Athletics,Athletics,discus throw,"RIEDEL, Lars",Men,GER,Germany,M,Silver +Sydney,2000,Athletics,Athletics,marathon,"TAKAHASHI, Naoko",Women,JPN,Japan,W,Gold +Sydney,2000,Athletics,Athletics,long jump,"TAURIMA, Jai",Men,AUS,Australia,M,Silver +Sydney,2000,Athletics,Athletics,pole vault,"FLOSADOTTIR, Vala",Women,ISL,Iceland,W,Bronze +Sydney,2000,Athletics,Athletics,4x100m relay,"MONTGOMERY, Tim",Men,USA,United States,M,Gold +Sydney,2000,Athletics,Athletics,800m,"HOLMES, Kelly",Women,GBR,United Kingdom,W,Bronze +Sydney,2000,Athletics,Athletics,shot put,"GODINA, John",Men,USA,United States,M,Bronze +Sydney,2000,Athletics,Athletics,long jump,"MAY, Fiona",Women,ITA,Italy,W,Silver +Sydney,2000,Athletics,Athletics,high jump,"PANTELIMON, Oana",Women,ROU,Romania,W,Bronze +Sydney,2000,Athletics,Athletics,marathon,"CHEPCHUMBA, Joyce",Men,KEN,Kenya,W,Bronze +Sydney,2000,Athletics,Athletics,100m,"THOMPSON, Obadele",Men,BAR,Barbados,M,Bronze +Sydney,2000,Athletics,Athletics,4x400m relay,"PRIVALOVA, Irina",Women,RUS,Russia,W,Bronze +Sydney,2000,Athletics,Athletics,4x400m relay,"KOTLYAROVA, Olga",Women,RUS,Russia,W,Bronze +Sydney,2000,Athletics,Athletics,4x400m relay,"MILES, Jearl",Women,USA,United States,W,Gold +Sydney,2000,Athletics,Athletics,20km race walk,"PLAETZER, Kjersti",Women,NOR,Norway,W,Silver +Sydney,2000,Athletics,Athletics,200m,"KENTERIS, Konstantinos",Men,GRE,Greece,M,Gold +Sydney,2000,Athletics,Athletics,4x100m relay,"FRAZER, Merlene",Women,JAM,Jamaica,W,Silver +Sydney,2000,Athletics,Athletics,3000m steeplechase,"KIPKETER, Wilson Boit",Men,KEN,Kenya,M,Silver +Sydney,2000,Athletics,Athletics,triple jump,"MARINOVA, Tereza",Women,BUL,Bulgaria,W,Gold +Sydney,2000,Athletics,Athletics,100m,"OTTEY-PAGE, Merlene",Women,JAM,Jamaica,W,Bronze +Sydney,2000,Athletics,Athletics,heptathlon,"LEWIS, Denise",Women,GBR,United Kingdom,W,Gold +Sydney,2000,Athletics,Athletics,4x400m relay,"AYRE, Sanjay",Men,JAM,Jamaica,M,Bronze +Sydney,2000,Athletics,Athletics,1500m,"LAGAT, Bernard",Men,KEN,Kenya,M,Bronze +Sydney,2000,Athletics,Athletics,discus throw,"ZVEREVA, Ellina",Women,BLR,Belarus,W,Gold +Sydney,2000,Athletics,Athletics,1500m,"SZEKELY, Violeta",Women,ROU,Romania,W,Silver +Sydney,2000,Athletics,Athletics,triple jump,"HOVOROVA, Olena",Women,UKR,Ukraine,W,Bronze +Sydney,2000,Athletics,Athletics,4x400m relay,"GADZAMA, Fidelis",Men,NGR,Nigeria,M,Silver +Sydney,2000,Athletics,Athletics,5000m,"O'SULLIVAN, Sonia",Women,IRL,Ireland,W,Silver +Sydney,2000,Athletics,Athletics,1500m,"NGENYI, Noah Kiprono",Men,KEN,Kenya,M,Gold +Sydney,2000,Athletics,Athletics,800m,"SAID GUERNI, Djabir",Men,ALG,Algeria,M,Bronze +Sydney,2000,Athletics,Athletics,4x400m relay,"BURGHER, Michelle",Women,JAM,Jamaica,W,Silver +Sydney,2000,Athletics,Athletics,pole vault,"GRIGORIEVA, Tatiana",Women,AUS,Australia,W,Silver +Sydney,2000,Athletics,Athletics,200m,"JAYASINGHE, Susanthika",Women,SRI,Sri Lanka,W,Silver +Sydney,2000,Athletics,Athletics,4x100m relay,"BROKENBURR, Kenneth",Men,USA,United States,M,Gold +Sydney,2000,Athletics,Athletics,4x400m relay,"GRAHAM, Lorraine",Women,JAM,Jamaica,W,Silver +Sydney,2000,Athletics,Athletics,4x100m relay,"WILLIAMS III, Bernard",Men,USA,United States,M,Gold +Sydney,2000,Athletics,Athletics,4x400m relay,"MCFARLANE, Danny",Men,JAM,Jamaica,M,Bronze +Sydney,2000,Athletics,Athletics,100m hurdles,"ALOZIE, Gloria",Women,NGR,Nigeria,W,Silver +Sydney,2000,Athletics,Athletics,400m,"JOHNSON, Michael",Men,USA,United States,M,Gold +Sydney,2000,Athletics,Athletics,4x400m relay,"HENNAGAN, Monique",Women,USA,United States,W,Gold +Sydney,2000,Athletics,Athletics,4x100m relay,"CAMPBELL-BROWN, Veronica",Women,JAM,Jamaica,W,Silver +Sydney,2000,Athletics,Athletics,marathon,"TOLA, Tesfaye",Men,ETH,Ethiopia,M,Bronze +Sydney,2000,Athletics,Athletics,400m hurdles,"BIDOUANE, Nouzha",Women,MAR,Morocco,W,Bronze +Sydney,2000,Athletics,Athletics,4x100m relay,"STURRUP, Chandra",Women,BAH,Bahamas,W,Gold +Sydney,2000,Athletics,Athletics,triple jump,"GARCIA, Yoel",Men,CUB,Cuba,M,Silver +Sydney,2000,Athletics,Athletics,100m,"LAWRENCE, Tanya",Women,JAM,Jamaica,W,Silver +Sydney,2000,Athletics,Athletics,pole vault,"JOHNSON, Lawrence",Men,USA,United States,M,Silver +Sydney,2000,Athletics,Athletics,discus throw,"YATCHENKO, Iryna",Women,BLR,Belarus,W,Bronze +Sydney,2000,Athletics,Athletics,100m,"THANOU, Ekaterini",Women,GRE,Greece,W,Silver +Sydney,2000,Athletics,Athletics,20km walk,"KORZENIOWSKI, Robert",Men,POL,Poland,M,Gold +Sydney,2000,Athletics,Athletics,discus throw,"KELESIDOU, Anastasia",Women,GRE,Greece,W,Silver +Sydney,2000,Athletics,Athletics,high jump,"HAMMAD, Abderrahmane",Men,ALG,Algeria,M,Bronze +Sydney,2000,Athletics,Athletics,4x100m relay,"GARCIA, Ivan",Men,CUB,Cuba,M,Bronze +Sydney,2000,Athletics,Athletics,decathlon,"SEBRLE, Roman",Men,CZE,Czech Republic,M,Silver +Sydney,2000,Athletics,Athletics,high jump,"BERGQVIST, Kajsa",Women,SWE,Sweden,W,Bronze +Sydney,2000,Athletics,Athletics,4x100m relay,"DRUMMOND, Jon",Men,USA,United States,M,Gold +Sydney,2000,Athletics,Athletics,pole vault,"DRAGILA, Stacy",Women,USA,United States,W,Gold +Sydney,2000,Athletics,Athletics,20km race walk,"WANG, Liping",Women,CHN,China,W,Gold +Sydney,2000,Athletics,Athletics,1500m,"EL GUERROUJ, Hicham",Men,MAR,Morocco,M,Silver +Sydney,2000,Athletics,Athletics,4x100m relay,"PERRY, Nanceen",Women,USA,United States,W,Bronze +Sydney,2000,Athletics,Athletics,100m,"GREENE, Maurice",Men,USA,United States,M,Gold +Sydney,2000,Athletics,Athletics,4x100m relay,"DAVIS, Pauline Elaine",Women,BAH,Bahamas,W,Gold +Sydney,2000,Athletics,Athletics,decathlon,"HUFFINS, Chris",Men,USA,United States,M,Bronze +Sydney,2000,Athletics,Athletics,javelin throw,"MAKAROV, Sergey",Men,RUS,Russia,M,Bronze +Sydney,2000,Athletics,Athletics,4x100m relay,"GAINES, Chryste",Women,USA,United States,W,Bronze +Sydney,2000,Athletics,Athletics,4x100m relay,"MCDONALD, Beverly",Women,JAM,Jamaica,W,Silver +Sydney,2000,Athletics,Athletics,marathon,"WAINAINA, Erick",Men,KEN,Kenya,M,Silver +Sydney,2000,Athletics,Athletics,1500m,"MERAH-BENIDA, Nouria",Women,ALG,Algeria,W,Gold +Sydney,2000,Athletics,Athletics,110m hurdles,"CREAR, Mark",Men,USA,United States,M,Bronze +Sydney,2000,Athletics,Athletics,4x400m relay,"NAZAROVA, Natalya",Women,RUS,Russia,W,Bronze +Sydney,2000,Athletics,Athletics,10000m,"TERGAT, Paul",Men,KEN,Kenya,M,Silver +Sydney,2000,Athletics,Athletics,4x400m relay,"SOTNIKOVA, Yulia",Women,RUS,Russia,W,Bronze +Sydney,2000,Athletics,Athletics,4x100m relay,"EDWARDS, Torri",Women,USA,United States,W,Bronze +Sydney,2000,Athletics,Athletics,hammer throw,"ASTAPKOVICH, Igor",Men,BLR,Belarus,M,Bronze +Sydney,2000,Athletics,Athletics,20km walk,"HERNANDEZ, Noe",Men,MEX,Mexico,M,Silver +Sydney,2000,Athletics,Athletics,4x400m relay,"UDO OBONG, Enefiok",Men,NGR,Nigeria,M,Silver +Sydney,2000,Athletics,Athletics,800m,"MUTOLA, Maria",Women,MOZ,Mozambique,W,Gold +Sydney,2000,Athletics,Athletics,4x400m relay,"HOWELL, Charmaine",Women,JAM,Jamaica,W,Silver +Sydney,2000,Athletics,Athletics,4x400m relay,"AWAZIE, Nduka",Men,NGR,Nigeria,M,Silver +Sydney,2000,Athletics,Athletics,triple jump,"LEBEDEVA, Tatyana",Women,RUS,Russia,W,Silver +Sydney,2000,Athletics,Athletics,400m hurdles,"PRIVALOVA, Irina",Women,RUS,Russia,W,Gold +Sydney,2000,Athletics,Athletics,400m hurdles,"HEMMINGS, Deon Marie",Women,JAM,Jamaica,W,Silver +Sydney,2000,Athletics,Athletics,triple jump,"EDWARDS, Jonathan David",Men,GBR,United Kingdom,M,Gold +Sydney,2000,Athletics,Athletics,shot put,"PELESHENKO, Larisa",Women,RUS,Russia,W,Silver +Sydney,2000,Athletics,Athletics,long jump,"KOTOVA, Tatyana",Women,RUS,Russia,W,Bronze +Sydney,2000,Athletics,Athletics,4x100m relay,"OTTEY-PAGE, Merlene",Women,JAM,Jamaica,W,Silver +Sydney,2000,Athletics,Athletics,400m hurdles,"TAYLOR, Angelo",Men,USA,United States,M,Gold +Sydney,2000,Athletics,Athletics,400m,"FREEMAN, Cathy",Women,AUS,Australia,W,Gold +Sydney,2000,Athletics,Athletics,4x100m relay,"GREENE, Maurice",Men,USA,United States,M,Gold +Sydney,2000,Athletics,Athletics,400m,"MERRY, Katharine",Women,GBR,United Kingdom,W,Bronze +Sydney,2000,Athletics,Athletics,4x400m relay,"CHUKWU, Clement",Men,NGR,Nigeria,M,Silver +Sydney,2000,Athletics,Athletics,50km walk,"KORZENIOWSKI, Robert",Men,POL,Poland,M,Gold +Sydney,2000,Athletics,Athletics,4x100m relay,"RIBEIRO, Edson",Men,BRA,Brazil,M,Silver +Sydney,2000,Athletics,Athletics,200m,"MCDONALD, Beverly",Women,JAM,Jamaica,W,Bronze +Sydney,2000,Athletics,Athletics,3000m steeplechase,"KOSGEI, Reuben",Men,KEN,Kenya,M,Gold +Sydney,2000,Athletics,Athletics,marathon,"ABERA, Gezahegne",Men,ETH,Ethiopia,M,Gold +Sydney,2000,Athletics,Athletics,800m,"SCHUMANN, Nils",Men,GER,Germany,M,Gold +Sydney,2000,Athletics,Athletics,javelin throw,"ZELEZNY, Jan",Men,CZE,Czech Republic,M,Gold +Sydney,2000,Athletics,Athletics,4x100m relay,"FERGUSON-MCKENZIE, Debbie",Women,BAH,Bahamas,W,Gold +Sydney,2000,Athletics,Athletics,4x400m relay,"RICHARDS, Sandie",Women,JAM,Jamaica,W,Silver +Sydney,2000,Athletics,Athletics,shot put,"NELSON, Adam",Men,USA,United States,M,Silver +Sydney,2000,Athletics,Athletics,800m,"GRAF, Stephanie",Women,AUT,Austria,W,Silver +Sydney,2000,Athletics,Athletics,shot put,"KUMBERNUSS, Astrid",Women,GER,Germany,W,Bronze +Sydney,2000,Athletics,Athletics,marathon,"SIMON, Lidia Elena",Women,ROU,Romania,W,Silver +Sydney,2000,Athletics,Athletics,100m hurdles,"MORRISON, Melissa",Women,USA,United States,W,Bronze +Sydney,2000,Athletics,Athletics,high jump,"YELESINA, Yelena",Women,RUS,Russia,W,Gold +Sydney,2000,Athletics,Athletics,110m hurdles,"TRAMMELL, Terrence",Men,USA,United States,M,Silver +Sydney,2000,Athletics,Athletics,4x400m relay,"ZYKINA, Olesya",Women,RUS,Russia,W,Bronze +Sydney,2000,Athletics,Athletics,20km walk,"ANDREYEV, Vladimir",Men,RUS,Russia,M,Bronze +Sydney,2000,Athletics,Athletics,10000m,"RIBEIRO, Fernanda",Women,POR,Portugal,W,Bronze +Sydney,2000,Athletics,Athletics,shot put,"HARJU, Arsi",Men,FIN,Finland,M,Gold +Sydney,2000,Athletics,Athletics,4x400m relay,"ANDERSON, Andrea",Women,USA,United States,W,Gold +Sydney,2000,Athletics,Athletics,javelin throw,"BACKLEY, Steve",Men,GBR,United Kingdom,M,Silver +Sydney,2000,Athletics,Athletics,4x100m relay,"SILVA, Andre Domingos",Men,BRA,Brazil,M,Silver +Sydney,2000,Athletics,Athletics,4x400m relay,"BADA, Sunday",Men,NGR,Nigeria,M,Silver +Sydney,2000,Athletics,Athletics,4x400m relay,"MCDONALD, Michael",Men,JAM,Jamaica,M,Bronze +Sydney,2000,Athletics,Athletics,5000m,"LAHLAFI, Brahim",Men,MAR,Morocco,M,Bronze +Sydney,2000,Athletics,Athletics,hammer throw,"MUENCHOW, Kirsten",Women,GER,Germany,W,Bronze +Sydney,2000,Athletics,Athletics,50km walk,"SANCHEZ GUERRERO, Joel",Men,MEX,Mexico,M,Bronze +Sydney,2000,Athletics,Athletics,5000m,"WAMI, Gete",Women,ETH,Ethiopia,W,Bronze +Sydney,2000,Athletics,Athletics,200m,"CAMPBELL, Darren",Men,GBR,United Kingdom,M,Silver +Sydney,2000,Athletics,Athletics,5000m,"SAIDI-SIEF, Ali",Men,ALG,Algeria,M,Silver +Sydney,2000,Athletics,Athletics,heptathlon,"PROKHOROVA, Yelena",Women,RUS,Russia,W,Silver +Sydney,2000,Athletics,Athletics,4x100m relay,"DE LIMA, Vicente",Men,BRA,Brazil,M,Silver +Sydney,2000,Athletics,Athletics,4x100m relay,"LEWIS, Eldice",Women,BAH,Bahamas,W,Gold +Sydney,2000,Badminton,Badminton,singles,"YE, Zhaoying",Women,CHN,China,W,Bronze +Sydney,2000,Badminton,Badminton,doubles,"GU, Jun",Women,CHN,China,W,Gold +Sydney,2000,Badminton,Badminton,doubles,"HA, Tae-Kwon",Men,KOR,"Korea, South",M,Bronze +Sydney,2000,Badminton,Badminton,singles,"MARTIN, Camilla",Women,DEN,Denmark,W,Silver +Sydney,2000,Badminton,Badminton,doubles,"KIM, Dong Moon",Men,KOR,"Korea, South",M,Bronze +Sydney,2000,Badminton,Badminton,doubles,"KUSHANJANTO, Tri",Men,INA,Indonesia,X,Silver +Sydney,2000,Badminton,Badminton,doubles,"GOODE, Joanne",Women,GBR,United Kingdom,X,Bronze +Sydney,2000,Badminton,Badminton,doubles,"GUNAWAN, Tony",Men,INA,Indonesia,M,Gold +Sydney,2000,Badminton,Badminton,singles,"XIA, Xuanze",Men,CHN,China,M,Bronze +Sydney,2000,Badminton,Badminton,singles,"GONG, Zhichao",Women,CHN,China,W,Gold +Sydney,2000,Badminton,Badminton,doubles,"GE, Fei",Women,CHN,China,W,Gold +Sydney,2000,Badminton,Badminton,doubles,"YOO, Yong-Sung",Men,KOR,"Korea, South",M,Silver +Sydney,2000,Badminton,Badminton,doubles,"QIN, Yiyuan",Women,CHN,China,W,Bronze +Sydney,2000,Badminton,Badminton,doubles,"GAO, Ling",Women,CHN,China,W,Bronze +Sydney,2000,Badminton,Badminton,doubles,"WIJAYA, Candra",Men,INA,Indonesia,M,Gold +Sydney,2000,Badminton,Badminton,doubles,"HUANG, Nanyan",Women,CHN,China,W,Silver +Sydney,2000,Badminton,Badminton,singles,"JI, Xinpeng",Men,CHN,China,M,Gold +Sydney,2000,Badminton,Badminton,doubles,"GAO, Ling",Women,CHN,China,X,Gold +Sydney,2000,Badminton,Badminton,doubles,"TIMUR, Minarti",Women,INA,Indonesia,X,Silver +Sydney,2000,Badminton,Badminton,singles,HENDRAWAN,Men,INA,Indonesia,M,Silver +Sydney,2000,Badminton,Badminton,doubles,"ARCHER, Simon",Men,GBR,United Kingdom,X,Bronze +Sydney,2000,Badminton,Badminton,doubles,"LEE, Dong Soo",Men,KOR,"Korea, South",M,Silver +Sydney,2000,Badminton,Badminton,doubles,"YANG, Wei",Women,CHN,China,W,Silver +Sydney,2000,Badminton,Badminton,doubles,"ZHANG, Jun",Men,CHN,China,X,Gold +Sydney,2000,Baseball,Baseball,baseball,"MESA FRESNEDA, German",Men,CUB,Cuba,M,Silver +Sydney,2000,Baseball,Baseball,baseball,"WILLIAMS, Todd",Men,USA,United States,M,Gold +Sydney,2000,Baseball,Baseball,baseball,"PACHECO, Antonio",Men,CUB,Cuba,M,Silver +Sydney,2000,Baseball,Baseball,baseball,"LAZO, Pedro Luis",Men,CUB,Cuba,M,Silver +Sydney,2000,Baseball,Baseball,baseball,"PARK, Seok-Jin",Men,KOR,"Korea, South",M,Bronze +Sydney,2000,Baseball,Baseball,baseball,"KIM, Dong-Joo",Men,KOR,"Korea, South",M,Bronze +Sydney,2000,Baseball,Baseball,baseball,"ULACIA, Luis",Men,CUB,Cuba,M,Silver +Sydney,2000,Baseball,Baseball,baseball,"PIERRE, Gabriel",Men,CUB,Cuba,M,Silver +Sydney,2000,Baseball,Baseball,baseball,"PARK, Jinman",Men,KOR,"Korea, South",M,Bronze +Sydney,2000,Baseball,Baseball,baseball,"SONG, Jin-Woo",Men,KOR,"Korea, South",M,Bronze +Sydney,2000,Baseball,Baseball,baseball,"SEAY, Bobby",Men,USA,United States,M,Gold +Sydney,2000,Baseball,Baseball,baseball,"IBAR, Jose",Men,CUB,Cuba,M,Silver +Sydney,2000,Baseball,Baseball,baseball,"KIM, Ki-Tae",Men,KOR,"Korea, South",M,Bronze +Sydney,2000,Baseball,Baseball,baseball,"LIM, Sun-Dong",Men,KOR,"Korea, South",M,Bronze +Sydney,2000,Baseball,Baseball,baseball,"RAUCH, Jon",Men,USA,United States,M,Gold +Sydney,2000,Baseball,Baseball,baseball,"LEE, Seung-Yub",Men,KOR,"Korea, South",M,Bronze +Sydney,2000,Baseball,Baseball,baseball,"EVERETT, Adam",Men,USA,United States,M,Gold +Sydney,2000,Baseball,Baseball,baseball,"CALDES, Miguel",Men,CUB,Cuba,M,Silver +Sydney,2000,Baseball,Baseball,baseball,"PESTANO, Ariel",Men,CUB,Cuba,M,Silver +Sydney,2000,Baseball,Baseball,baseball,"VERA, Norge Luis",Men,CUB,Cuba,M,Silver +Sydney,2000,Baseball,Baseball,baseball,"SON, Min-Han",Men,KOR,"Korea, South",M,Bronze +Sydney,2000,Baseball,Baseball,baseball,"KIM, Han-Soo",Men,KOR,"Korea, South",M,Bronze +Sydney,2000,Baseball,Baseball,baseball,"LINARES, Omar",Men,CUB,Cuba,M,Silver +Sydney,2000,Baseball,Baseball,baseball,"CHANG, Song-Ho",Men,KOR,"Korea, South",M,Bronze +Sydney,2000,Baseball,Baseball,baseball,"CONTRERAS, Jose Ariel",Men,CUB,Cuba,M,Silver +Sydney,2000,Baseball,Baseball,baseball,"BORDERS, Pat",Men,USA,United States,M,Gold +Sydney,2000,Baseball,Baseball,baseball,"YOUNG, Ernie",Men,USA,United States,M,Gold +Sydney,2000,Baseball,Baseball,baseball,"GEORGE, Chris",Men,USA,United States,M,Gold +Sydney,2000,Baseball,Baseball,baseball,"AJETE, Omar",Men,CUB,Cuba,M,Silver +Sydney,2000,Baseball,Baseball,baseball,"MERINO, Rolando",Men,CUB,Cuba,M,Silver +Sydney,2000,Baseball,Baseball,baseball,"MACIAS, Oscar",Men,CUB,Cuba,M,Silver +Sydney,2000,Baseball,Baseball,baseball,"JENSEN, Marcus",Men,USA,United States,M,Gold +Sydney,2000,Baseball,Baseball,baseball,"CHUNG, Soo-Keun",Men,KOR,"Korea, South",M,Bronze +Sydney,2000,Baseball,Baseball,baseball,"KRIVDA, Rick",Men,USA,United States,M,Gold +Sydney,2000,Baseball,Baseball,baseball,"SHEETS, Ben",Men,USA,United States,M,Gold +Sydney,2000,Baseball,Baseball,baseball,"ABERNATHY, Brent",Men,USA,United States,M,Gold +Sydney,2000,Baseball,Baseball,baseball,"KIM, Tae-Gyun",Men,KOR,"Korea, South",M,Bronze +Sydney,2000,Baseball,Baseball,baseball,"MENDEZ, Javier",Men,CUB,Cuba,M,Silver +Sydney,2000,Baseball,Baseball,baseball,"KINKADE, Mike",Men,USA,United States,M,Gold +Sydney,2000,Baseball,Baseball,baseball,"JIN, Pil-Jung",Men,KOR,"Korea, South",M,Bronze +Sydney,2000,Baseball,Baseball,baseball,"HEAMS, Shane",Men,USA,United States,M,Gold +Sydney,2000,Baseball,Baseball,baseball,"PARK, Jae-Hong",Men,KOR,"Korea, South",M,Bronze +Sydney,2000,Baseball,Baseball,baseball,"AINSWORTH, Kurt",Men,USA,United States,M,Gold +Sydney,2000,Baseball,Baseball,baseball,"MIENTKIEWICZ, Doug",Men,USA,United States,M,Gold +Sydney,2000,Baseball,Baseball,baseball,"GOMEZ, Yasser",Men,CUB,Cuba,M,Silver +Sydney,2000,Baseball,Baseball,baseball,"VALLE, Lazaro",Men,CUB,Cuba,M,Silver +Sydney,2000,Baseball,Baseball,baseball,"KINDELAN, Orestes",Men,CUB,Cuba,M,Silver +Sydney,2000,Baseball,Baseball,baseball,"CHONG, Tae-Hyon",Men,KOR,"Korea, South",M,Bronze +Sydney,2000,Baseball,Baseball,baseball,"HONG, Sung-Heon",Men,KOR,"Korea, South",M,Bronze +Sydney,2000,Baseball,Baseball,baseball,"SANDERS, Anthony",Men,USA,United States,M,Gold +Sydney,2000,Baseball,Baseball,baseball,"WILKERSON, Brad",Men,USA,United States,M,Gold +Sydney,2000,Baseball,Baseball,baseball,"KIM, Soo-Kyung",Men,KOR,"Korea, South",M,Bronze +Sydney,2000,Baseball,Baseball,baseball,"SCULL, Antonio",Men,CUB,Cuba,M,Silver +Sydney,2000,Baseball,Baseball,baseball,"COTTON, John",Men,USA,United States,M,Gold +Sydney,2000,Baseball,Baseball,baseball,"LIM, Chang-Yong",Men,KOR,"Korea, South",M,Bronze +Sydney,2000,Baseball,Baseball,baseball,"PARK, Jong-Ho",Men,KOR,"Korea, South",M,Bronze +Sydney,2000,Baseball,Baseball,baseball,"MANRIQUE, Juan",Men,CUB,Cuba,M,Silver +Sydney,2000,Baseball,Baseball,baseball,"FRANKLIN, Ryan",Men,USA,United States,M,Gold +Sydney,2000,Baseball,Baseball,baseball,"KOO, Dae-Sung",Men,KOR,"Korea, South",M,Bronze +Sydney,2000,Baseball,Baseball,baseball,"YOUNG, Tim",Men,USA,United States,M,Gold +Sydney,2000,Baseball,Baseball,baseball,"PARK, Kyung-Oan",Men,KOR,"Korea, South",M,Bronze +Sydney,2000,Baseball,Baseball,baseball,"RODRIGUEZ, Maels",Men,CUB,Cuba,M,Silver +Sydney,2000,Baseball,Baseball,baseball,"LEE, Byoung-Kyu",Men,KOR,"Korea, South",M,Bronze +Sydney,2000,Baseball,Baseball,baseball,"ARAGON, Yovany",Men,CUB,Cuba,M,Silver +Sydney,2000,Baseball,Baseball,baseball,"LEE, Seung-Ho",Men,KOR,"Korea, South",M,Bronze +Sydney,2000,Baseball,Baseball,baseball,"NEILL, Mike",Men,USA,United States,M,Gold +Sydney,2000,Baseball,Baseball,baseball,"CASTRO, Danel",Men,CUB,Cuba,M,Silver +Sydney,2000,Baseball,Baseball,baseball,"DUENAS, Yobal",Men,CUB,Cuba,M,Silver +Sydney,2000,Baseball,Baseball,baseball,"BURROUGHS, Sean",Men,USA,United States,M,Gold +Sydney,2000,Baseball,Baseball,baseball,"DAWKINS, Travis",Men,USA,United States,M,Gold +Sydney,2000,Baseball,Baseball,baseball,"CHUNG, Min-Tae",Men,KOR,"Korea, South",M,Bronze +Sydney,2000,Baseball,Baseball,baseball,"OSWALT, Roy",Men,USA,United States,M,Gold +Sydney,2000,Basketball,Basketball,basketball,"CARTER, Vince",Men,USA,United States,M,Gold +Sydney,2000,Basketball,Basketball,basketball,"GARNETT, Kevin",Men,USA,United States,M,Gold +Sydney,2000,Basketball,Basketball,basketball,"BILBA, Jim",Men,FRA,France,M,Silver +Sydney,2000,Basketball,Basketball,basketball,"KIDD, Jason",Men,USA,United States,M,Gold +Sydney,2000,Basketball,Basketball,basketball,"BROGAN, Michelle",Women,AUS,Australia,W,Silver +Sydney,2000,Basketball,Basketball,basketball,"SMITH, Steve",Men,USA,United States,M,Gold +Sydney,2000,Basketball,Basketball,basketball,"SANDIE, Shelley",Women,AUS,Australia,W,Silver +Sydney,2000,Basketball,Basketball,basketball,"ABDUR-RAHIM, Shareef",Men,USA,United States,M,Gold +Sydney,2000,Basketball,Basketball,basketball,"ALLEN, Ray",Men,USA,United States,M,Gold +Sydney,2000,Basketball,Basketball,basketball,"GONCALVES, Lilian Cristina",Women,BRA,Brazil,W,Bronze +Sydney,2000,Basketball,Basketball,basketball,"PAYTON, Gary",Men,USA,United States,M,Gold +Sydney,2000,Basketball,Basketball,basketball,"WEIS, Frederic",Men,FRA,France,M,Silver +Sydney,2000,Basketball,Basketball,basketball,"MASIULIS, Tomas",Men,LTU,Lithuania,M,Bronze +Sydney,2000,Basketball,Basketball,basketball,"RIGAUDEAU, Antoine",Men,FRA,France,M,Silver +Sydney,2000,Basketball,Basketball,basketball,"DAVID, Ilisaine Karen",Women,BRA,Brazil,W,Bronze +Sydney,2000,Basketball,Basketball,basketball,"GRIFFITH, Yolanda",Women,USA,United States,W,Gold +Sydney,2000,Basketball,Basketball,basketball,"SCIARRA, Laurent",Men,FRA,France,M,Silver +Sydney,2000,Basketball,Basketball,basketball,"BOLTON, Ruthie",Women,USA,United States,W,Gold +Sydney,2000,Basketball,Basketball,basketball,"LUZ, Silvia",Women,BRA,Brazil,W,Bronze +Sydney,2000,Basketball,Basketball,basketball,"ZUKAUSKAS, Eurelijus",Men,LTU,Lithuania,M,Bronze +Sydney,2000,Basketball,Basketball,basketball,"SOBRAL, Marta",Women,BRA,Brazil,W,Bronze +Sydney,2000,Basketball,Basketball,basketball,"JULIAN, Cyril",Men,FRA,France,M,Silver +Sydney,2000,Basketball,Basketball,basketball,"RISACHER, Stephane",Men,FRA,France,M,Silver +Sydney,2000,Basketball,Basketball,basketball,"SPORN, Rachael",Women,AUS,Australia,W,Silver +Sydney,2000,Basketball,Basketball,basketball,"SONGAILA, Darius",Men,LTU,Lithuania,M,Bronze +Sydney,2000,Basketball,Basketball,basketball,"WHITTLE, Jennifer",Women,AUS,Australia,W,Silver +Sydney,2000,Basketball,Basketball,basketball,"EINIKIS, Gintaras",Men,LTU,Lithuania,M,Bronze +Sydney,2000,Basketball,Basketball,basketball,"PALMER, Henry Crawford",Men,FRA,France,M,Silver +Sydney,2000,Basketball,Basketball,basketball,"TIMINSKAS, Mindaugas",Men,LTU,Lithuania,M,Bronze +Sydney,2000,Basketball,Basketball,basketball,"MCDYESS, Antonio",Men,USA,United States,M,Gold +Sydney,2000,Basketball,Basketball,basketball,"JASIKEVICIUS, Sarunas",Men,LTU,Lithuania,M,Bronze +Sydney,2000,Basketball,Basketball,basketball,"SISKAUSKAS, Ramunas",Men,LTU,Lithuania,M,Bronze +Sydney,2000,Basketball,Basketball,basketball,"OLIVEIRA, Alessandra",Women,BRA,Brazil,W,Bronze +Sydney,2000,Basketball,Basketball,basketball,"ARCAIN, Janeth",Women,BRA,Brazil,W,Bronze +Sydney,2000,Basketball,Basketball,basketball,"BAKER, Vin",Men,USA,United States,M,Gold +Sydney,2000,Basketball,Basketball,basketball,"HOLDSCLAW, Chamique",Women,USA,United States,W,Gold +Sydney,2000,Basketball,Basketball,basketball,"GIEDRAITIS, Audrius",Men,LTU,Lithuania,M,Bronze +Sydney,2000,Basketball,Basketball,basketball,"GADOU, Thierry",Men,FRA,France,M,Silver +Sydney,2000,Basketball,Basketball,basketball,"BRONDELLO, Alexandra",Women,AUS,Australia,W,Silver +Sydney,2000,Basketball,Basketball,basketball,"LA FLEUR, Annie",Women,AUS,Australia,W,Silver +Sydney,2000,Basketball,Basketball,basketball,"DIOUMASSI, Makan",Men,FRA,France,M,Silver +Sydney,2000,Basketball,Basketball,basketball,"SANTOS, Adriana Aparecida",Women,BRA,Brazil,W,Bronze +Sydney,2000,Basketball,Basketball,basketball,"SANTOS, Kelly",Women,BRA,Brazil,W,Bronze +Sydney,2000,Basketball,Basketball,basketball,"WOLTERS, Kara",Women,USA,United States,W,Gold +Sydney,2000,Basketball,Basketball,basketball,"SMITH, Katie",Women,USA,United States,W,Gold +Sydney,2000,Basketball,Basketball,basketball,"HILL, Jo",Women,AUS,Australia,W,Silver +Sydney,2000,Basketball,Basketball,basketball,"MASKOLIUNAS, Darius",Men,LTU,Lithuania,M,Bronze +Sydney,2000,Basketball,Basketball,basketball,"ADOMAITIS, Dainius",Men,LTU,Lithuania,M,Bronze +Sydney,2000,Basketball,Basketball,basketball,"TIMMS, Michelle",Women,AUS,Australia,W,Silver +Sydney,2000,Basketball,Basketball,basketball,"JACKSON, Lauren",Women,AUS,Australia,W,Silver +Sydney,2000,Basketball,Basketball,basketball,"FALLON, Trish",Women,AUS,Australia,W,Silver +Sydney,2000,Basketball,Basketball,basketball,"HARROWER, Kristi",Women,AUS,Australia,W,Silver +Sydney,2000,Basketball,Basketball,basketball,"LUZ, Helen Cristina",Women,BRA,Brazil,W,Bronze +Sydney,2000,Basketball,Basketball,basketball,"PINTO, Adriana",Women,BRA,Brazil,W,Bronze +Sydney,2000,Basketball,Basketball,basketball,"HARDAWAY, Tim",Men,USA,United States,M,Gold +Sydney,2000,Basketball,Basketball,basketball,"MOURNING, Alonzo",Men,USA,United States,M,Gold +Sydney,2000,Basketball,Basketball,basketball,"MILTON, Delisha",Women,USA,United States,W,Gold +Sydney,2000,Basketball,Basketball,basketball,"FOIREST, Laurent",Men,FRA,France,M,Silver +Sydney,2000,Basketball,Basketball,basketball,"EDWARDS, Teresa",Women,USA,United States,W,Gold +Sydney,2000,Basketball,Basketball,basketball,"SANTOS, Cintia",Women,BRA,Brazil,W,Bronze +Sydney,2000,Basketball,Basketball,basketball,"BONATO, Yann",Men,FRA,France,M,Silver +Sydney,2000,Basketball,Basketball,basketball,"SONKO, Mustapha",Men,FRA,France,M,Silver +Sydney,2000,Basketball,Basketball,basketball,"HOUSTON, Allan",Men,USA,United States,M,Gold +Sydney,2000,Basketball,Basketball,basketball,"BOYD, Carla",Women,AUS,Australia,W,Silver +Sydney,2000,Basketball,Basketball,basketball,"MCCRAY, Nikki",Women,USA,United States,W,Gold +Sydney,2000,Basketball,Basketball,basketball,"STALEY, Dawn",Women,USA,United States,W,Gold +Sydney,2000,Basketball,Basketball,basketball,"STOMBERGAS, Saulius",Men,LTU,Lithuania,M,Bronze +Sydney,2000,Basketball,Basketball,basketball,"MARCIULIONIS, Kestutis",Men,LTU,Lithuania,M,Bronze +Sydney,2000,Basketball,Basketball,basketball,"LESLIE, Lisa",Women,USA,United States,W,Gold +Sydney,2000,Basketball,Basketball,basketball,"SWOOPES, Sheryl",Women,USA,United States,W,Gold +Sydney,2000,Basketball,Basketball,basketball,"NEVES, Claudia",Women,BRA,Brazil,W,Bronze +Sydney,2000,Basketball,Basketball,basketball,"WILLIAMS, Natalie",Women,USA,United States,W,Gold +Sydney,2000,Boxing,Boxing,63.5 - 67kg (welterweight),"GRUSAC, Vitalie",Men,MDA,Moldova,M,Bronze +Sydney,2000,Boxing,Boxing,- 48kg (light-flyweight),"ASLOUM, Brahim",Men,FRA,France,M,Gold +Sydney,2000,Boxing,Boxing,67 - 71kg (light-middleweight),"SIMION, Marian",Men,ROU,Romania,M,Silver +Sydney,2000,Boxing,Boxing,67 - 71kg (light-middleweight),"THONGBURAN, Pornchai",Men,THA,Thailand,M,Bronze +Sydney,2000,Boxing,Boxing,54 - 57kg (featherweight),"TAMSAMANI, Tahar",Men,MAR,Morocco,M,Bronze +Sydney,2000,Boxing,Boxing,71-75kg,"ALAKPAROV, Vugar",Men,AZE,Azerbaijan,M,Bronze +Sydney,2000,Boxing,Boxing,57 - 60kg (lightweight),"KOTELNYK, Andriy",Men,UKR,Ukraine,M,Silver +Sydney,2000,Boxing,Boxing,71-75kg,"ERDEI, Zsolt",Men,HUN,Hungary,M,Bronze +Sydney,2000,Boxing,Boxing,75 - 81kg (light-heavyweight),"KRAJ, Rudolf",Men,CZE,Czech Republic,M,Silver +Sydney,2000,Boxing,Boxing,81 - 91kg (heavyweight),"IBRAGUIMOV, Soultanakhmed",Men,RUS,Russia,M,Silver +Sydney,2000,Boxing,Boxing,51 - 54kg (bantamweight),"RIGONDEAUX ORTIZ, Guillermo",Men,CUB,Cuba,M,Gold +Sydney,2000,Boxing,Boxing,63.5 - 67kg (welterweight),"DOTSENKO, Sergey",Men,UKR,Ukraine,M,Silver +Sydney,2000,Boxing,Boxing,57 - 60kg (lightweight),"BEJARANO, Cristian",Men,MEX,Mexico,M,Bronze +Sydney,2000,Boxing,Boxing,48 - 51kg (flyweight),"SYDORENKO, Volodymyr",Men,UKR,Ukraine,M,Bronze +Sydney,2000,Boxing,Boxing,+ 91kg (super heavyweight),"SAIDOV, Rustam",Men,UZB,Uzbekistan,M,Bronze +Sydney,2000,Boxing,Boxing,67 - 71kg (light-middleweight),"TAYLOR, Jermain",Men,USA,United States,M,Bronze +Sydney,2000,Boxing,Boxing,60 - 63.5kg (light-welterweight),"ABDOOLLAYEV, Mahammatkodir",Men,UZB,Uzbekistan,M,Gold +Sydney,2000,Boxing,Boxing,54 - 57kg (featherweight),"JUAREZ, Ricardo",Men,USA,United States,M,Silver +Sydney,2000,Boxing,Boxing,71-75kg,"GAIDARBEKOV, Gaidarbek",Men,RUS,Russia,M,Silver +Sydney,2000,Boxing,Boxing,48 - 51kg (flyweight),"THOMAS, Jerome",Men,FRA,France,M,Bronze +Sydney,2000,Boxing,Boxing,+ 91kg (super heavyweight),"VIDOZ, Paolo",Men,ITA,Italy,M,Bronze +Sydney,2000,Boxing,Boxing,63.5 - 67kg (welterweight),"SAITOV, Oleg",Men,RUS,Russia,M,Gold +Sydney,2000,Boxing,Boxing,- 48kg (light-flyweight),"KIM, Un Chol",Men,PRK,"Korea, North",M,Bronze +Sydney,2000,Boxing,Boxing,81 - 91kg (heavyweight),"TCHANTURIA, Vladimer",Men,GEO,Georgia,M,Bronze +Sydney,2000,Boxing,Boxing,57 - 60kg (lightweight),"MALETINE, Alexandre",Men,RUS,Russia,M,Bronze +Sydney,2000,Boxing,Boxing,75 - 81kg (light-heavyweight),"FEDCHUK, Andriy",Men,UKR,Ukraine,M,Bronze +Sydney,2000,Boxing,Boxing,81 - 91kg (heavyweight),"KOEBER, Sebastian",Men,GER,Germany,M,Bronze +Sydney,2000,Boxing,Boxing,60 - 63.5kg (light-welterweight),"WILLIAMS JR, Ricardo",Men,USA,United States,M,Silver +Sydney,2000,Boxing,Boxing,54 - 57kg (featherweight),"DJAMALOUDINOV, Kamil",Men,RUS,Russia,M,Bronze +Sydney,2000,Boxing,Boxing,48 - 51kg (flyweight),"JUMADILOV, Bulat",Men,KAZ,Kazakhstan,M,Silver +Sydney,2000,Boxing,Boxing,54 - 57kg (featherweight),"SATTARKHANOV, Bekzat",Men,KAZ,Kazakhstan,M,Gold +Sydney,2000,Boxing,Boxing,75 - 81kg (light-heavyweight),"LEBZIAK, Alexandre",Men,RUS,Russia,M,Gold +Sydney,2000,Boxing,Boxing,+ 91kg (super heavyweight),"DILDABEKOV, Mukhtarkhan",Men,KAZ,Kazakhstan,M,Silver +Sydney,2000,Boxing,Boxing,63.5 - 67kg (welterweight),"SIMION, Dorel",Men,ROU,Romania,M,Bronze +Sydney,2000,Boxing,Boxing,60 - 63.5kg (light-welterweight),"ALLALOU, Mohamed",Men,ALG,Algeria,M,Bronze +Sydney,2000,Boxing,Boxing,+ 91kg (super heavyweight),"HARRISON, Audley",Men,GBR,United Kingdom,M,Gold +Sydney,2000,Boxing,Boxing,48 - 51kg (flyweight),"PONLID, Wijan",Men,THA,Thailand,M,Gold +Sydney,2000,Boxing,Boxing,67 - 71kg (light-middleweight),"IBRAIMOV, Yermakhan",Men,KAZ,Kazakhstan,M,Gold +Sydney,2000,Boxing,Boxing,81 - 91kg (heavyweight),"SAVON, Felix",Men,CUB,Cuba,M,Gold +Sydney,2000,Boxing,Boxing,51 - 54kg (bantamweight),"VINSON, Clarence",Men,USA,United States,M,Bronze +Sydney,2000,Boxing,Boxing,- 48kg (light-flyweight),"LOZANO MUÑOZ, Rafael",Men,ESP,Spain,M,Silver +Sydney,2000,Boxing,Boxing,57 - 60kg (lightweight),"KINDELAN, Mario",Men,CUB,Cuba,M,Gold +Sydney,2000,Boxing,Boxing,51 - 54kg (bantamweight),"DANYLCHENKO, Sergiy",Men,UKR,Ukraine,M,Bronze +Sydney,2000,Boxing,Boxing,71-75kg,"GUTIERREZ, Jorge",Men,CUB,Cuba,M,Gold +Sydney,2000,Boxing,Boxing,60 - 63.5kg (light-welterweight),"LUNA, Diogenes",Men,CUB,Cuba,M,Bronze +Sydney,2000,Boxing,Boxing,75 - 81kg (light-heavyweight),"MIHAYLOV, Sergey",Men,UZB,Uzbekistan,M,Bronze +Sydney,2000,Boxing,Boxing,51 - 54kg (bantamweight),"MALAKHBEKOV, Raimkul",Men,RUS,Russia,M,Silver +Sydney,2000,Boxing,Boxing,- 48kg (light-flyweight),"ROMERO, Maikro",Men,CUB,Cuba,M,Bronze +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,K-1 1000m (kayak single),"HOLMANN, Knut",Men,NOR,Norway,M,Gold +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"TOMA, Sanda",Women,ROU,Romania,W,Bronze +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"PULAI, Imre",Men,HUN,Hungary,M,Gold +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,C-1 500m (canoe single),"DITTMER, Andreas",Men,GER,Germany,M,Bronze +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"KOTOWICZ, Grzegorz",Men,POL,Poland,M,Bronze +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"BONOMI, Beniamino",Men,ITA,Italy,M,Gold +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"VERECKEI, Akos",Men,HUN,Hungary,M,Gold +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,K-1 1000m (kayak single),"BRABANTS, Tim",Men,GBR,United Kingdom,M,Bronze +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"KAMMERER, Zoltan",Men,HUN,Hungary,M,Gold +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"KOVACS, Katalin",Women,HUN,Hungary,W,Silver +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"BRUNET, Caroline",Women,CAN,Canada,W,Silver +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"VISKI, Erzsebet",Women,HUN,Hungary,W,Silver +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"FISCHER, Birgit",Women,GER,Germany,W,Gold +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"BIALKOWSKI, Dariusz",Men,POL,Poland,M,Bronze +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"HOLMANN, Knut",Men,NOR,Norway,M,Gold +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"WAGNER-AUGUSTIN, Katrin",Women,GER,Germany,W,Gold +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"NILSSON, Henrik",Men,SWE,Sweden,M,Silver +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"STORCZ, Botond",Men,HUN,Hungary,M,Gold +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"ROJAS, Ibrahin",Men,CUB,Cuba,M,Silver +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"IONITA, Raluca",Women,ROU,Romania,W,Bronze +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"LIMBAU, Mariana",Women,ROU,Romania,W,Bronze +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"ROSSI, Antonio",Men,ITA,Italy,M,Gold +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"COLLINS, Daniel",Men,AUS,Australia,M,Silver +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,K-1 1000m (kayak single),"MERKOV, Petar",Men,BUL,Bulgaria,M,Silver +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,C-1 1000m (canoe single),"DITTMER, Andreas",Men,GER,Germany,M,Gold +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"UTESS, Stefan",Men,GER,Germany,M,Bronze +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"NOVAK, Ferenc",Men,HUN,Hungary,M,Gold +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"KOBAN, Rita",Women,HUN,Hungary,W,Silver +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"STORCZ, Botond",Men,HUN,Hungary,M,Gold +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"MERKOV, Petar",Men,BUL,Bulgaria,M,Silver +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"KOVACS, Katalin",Women,HUN,Hungary,W,Silver +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"ZABEL, Mark",Men,GER,Germany,M,Silver +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"PASTUSZKA, Aneta",Women,POL,Poland,W,Bronze +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,C-1 500m (canoe single),"OPALEV, Maxim",Men,RUS,Russia,M,Silver +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"PRICOP, Mitica",Men,ROU,Romania,M,Gold +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"POPESCU, Florin",Men,ROU,Romania,M,Bronze +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,C-1 1000m (canoe single),"BALCEIRO, Ledys Frank",Men,CUB,Cuba,M,Silver +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"SZABO, Szilvia",Women,HUN,Hungary,W,Silver +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"RADU, Elena",Women,ROU,Romania,W,Bronze +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"JEDRASZKO, Daniel",Men,POL,Poland,M,Silver +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"WITKOWSKI, Marek",Men,POL,Poland,M,Bronze +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"FISCHER, Birgit",Women,GER,Germany,W,Gold +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"BARASZKIEWICZ, Pawel",Men,POL,Poland,M,Silver +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"IDEM, Josefa",Women,ITA,Italy,W,Gold +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"SZABO, Szilvia",Women,HUN,Hungary,W,Silver +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"ULM, Stefan",Men,GER,Germany,M,Silver +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"KOBER, Lars",Men,GER,Germany,M,Bronze +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"VEREB, Krisztian",Men,HUN,Hungary,M,Bronze +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"PRICOP, Mitica",Men,ROU,Romania,M,Bronze +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"WAGNER-AUGUSTIN, Katrin",Women,GER,Germany,W,Gold +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"TRIM, Andrew Lawrence",Men,AUS,Australia,M,Silver +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"PEREIRA, Leobaldo",Men,CUB,Cuba,M,Silver +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"BARTFAI, Krisztian",Men,HUN,Hungary,M,Bronze +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"BORCHERT, Katrin",Women,AUS,Australia,W,Bronze +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"SOKOLOWSKA KULESZA, Beata",Women,POL,Poland,W,Bronze +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"POPESCU, Florin",Men,ROU,Romania,M,Gold +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"OSCARSSON, Markus",Men,SWE,Sweden,M,Silver +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"BACH, Bjoern",Men,GER,Germany,M,Silver +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"KAMMERER, Zoltan",Men,HUN,Hungary,M,Gold +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"WIESKOETTER, Tim",Men,GER,Germany,M,Bronze +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"RAUHE, Ronald",Men,GER,Germany,M,Bronze +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,C-1 1000m (canoe single),"GILES, Stephen Cory",Men,CAN,Canada,M,Bronze +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"SCHUCK, Anett",Women,GER,Germany,W,Gold +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"SEROCZYNSKI, Adam",Men,POL,Poland,M,Bronze +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"HORVATH, Gabor",Men,HUN,Hungary,M,Gold +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,C-1 500m (canoe single),"KOLONICS, Gyorgy",Men,HUN,Hungary,M,Gold +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"SCHAEFER, Jan",Men,GER,Germany,M,Silver +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"MUCKE, Manuela",Women,GER,Germany,W,Gold +Sydney,2000,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"KOLGANOV, Michael",Men,ISR,Israel,M,Bronze +Sydney,2000,Canoe / Kayak,Canoe / Kayak S,K-1 (kayak single),"BARDET, Anne-Lise",Women,FRA,France,W,Bronze +Sydney,2000,Canoe / Kayak,Canoe / Kayak S,K-1 (kayak single),"HILGERTOVA, Stepanka",Women,CZE,Czech Republic,W,Gold +Sydney,2000,Canoe / Kayak,Canoe / Kayak S,C-1 (canoe single),"MARTIKAN, Michal",Men,SVK,Slovakia,M,Silver +Sydney,2000,Canoe / Kayak,Canoe / Kayak S,C-2 (canoe double),"KOLOMANSKI, Krzysztof",Men,POL,Poland,M,Silver +Sydney,2000,Canoe / Kayak,Canoe / Kayak S,C-2 (canoe double),"HOCHSCHORNER, Peter",Men,SVK,Slovakia,M,Gold +Sydney,2000,Canoe / Kayak,Canoe / Kayak S,C-2 (canoe double),"MADER, Tomas",Men,CZE,Czech Republic,M,Bronze +Sydney,2000,Canoe / Kayak,Canoe / Kayak S,C-2 (canoe double),"STANISZEWSKI, Michal",Men,POL,Poland,M,Silver +Sydney,2000,Canoe / Kayak,Canoe / Kayak S,K-1 (kayak single),"RATCLIFFE, Paul",Men,GBR,United Kingdom,M,Silver +Sydney,2000,Canoe / Kayak,Canoe / Kayak S,K-1 (kayak single),"SCHMIDT, Thomas",Men,GER,Germany,M,Gold +Sydney,2000,Canoe / Kayak,Canoe / Kayak S,C-1 (canoe single),"ESTANGUET, Tony",Men,FRA,France,M,Gold +Sydney,2000,Canoe / Kayak,Canoe / Kayak S,C-2 (canoe double),"JIRAS, Marek",Men,CZE,Czech Republic,M,Bronze +Sydney,2000,Canoe / Kayak,Canoe / Kayak S,K-1 (kayak single),"FERRAZZI, Pierpaolo",Men,ITA,Italy,M,Bronze +Sydney,2000,Canoe / Kayak,Canoe / Kayak S,K-1 (kayak single),"GUIBAL, Brigitte",Women,FRA,France,W,Silver +Sydney,2000,Canoe / Kayak,Canoe / Kayak S,C-1 (canoe single),"MINCIK, Juraj",Men,SVK,Slovakia,M,Bronze +Sydney,2000,Canoe / Kayak,Canoe / Kayak S,C-2 (canoe double),"HOCHSCHORNER, Pavol",Men,SVK,Slovakia,M,Gold +Sydney,2000,Cycling,Cycling Road,individual time trial,"HOLDEN, Mari",Women,USA,United States,W,Silver +Sydney,2000,Cycling,Cycling Road,individual road race,"KUPFERNAGEL, Hanka",Women,GER,Germany,W,Silver +Sydney,2000,Cycling,Cycling Road,individual time trial,"ZIJLAARD-VAN MOORSEL, Leontien",Women,NED,Netherlands,W,Gold +Sydney,2000,Cycling,Cycling Road,individual road race,"ULLRICH, Jan",Men,GER,Germany,M,Gold +Sydney,2000,Cycling,Cycling Road,individual time trial,"LONGO-CIPRELLI, Jeannie",Women,FRA,France,W,Bronze +Sydney,2000,Cycling,Cycling Road,individual road race,"VINOKUROV, Alexandr",Men,KAZ,Kazakhstan,M,Silver +Sydney,2000,Cycling,Cycling Road,individual road race,"ZIJLAARD-VAN MOORSEL, Leontien",Women,NED,Netherlands,W,Gold +Sydney,2000,Cycling,Cycling Road,individual time trial,"EKIMOV, Vyacheslav",Men,RUS,Russia,M,Gold +Sydney,2000,Cycling,Cycling Road,individual road race,"ZILIUTE, Diana",Women,LTU,Lithuania,W,Bronze +Sydney,2000,Cycling,Cycling Road,individual time trial,"ULLRICH, Jan",Men,GER,Germany,M,Silver +Sydney,2000,Cycling,Cycling Road,individual road race,"KLODEN, Andreas",Men,GER,Germany,M,Bronze +Sydney,2000,Cycling,Cycling Road,individual time trial,"ARMSTRONG, Lance E.",Men,USA,United States,M,Bronze +Sydney,2000,Cycling,Cycling Track,Sprint indivual,"FIEDLER, Jens",Men,GER,Germany,M,Bronze +Sydney,2000,Cycling,Cycling Track,Team Pursuit (4000m),"WIGGINS, Bradley",Men,GBR,United Kingdom,M,Bronze +Sydney,2000,Cycling,Cycling Track,Team Pursuit (4000m),"LEHMANN, Jens",Men,GER,Germany,M,Gold +Sydney,2000,Cycling,Cycling Track,Team Pursuit (4000m),"BECKE, Daniel",Men,GER,Germany,M,Gold +Sydney,2000,Cycling,Cycling Track,Individual Pursuit,"MCGEE, Bradley",Men,AUS,Australia,M,Bronze +Sydney,2000,Cycling,Cycling Track,Olympic Sprint,"HOY, Chris",Men,GBR,United Kingdom,M,Silver +Sydney,2000,Cycling,Cycling Track,Points Race,"LLANERAS, Joan",Men,ESP,Spain,M,Gold +Sydney,2000,Cycling,Cycling Track,Team Pursuit (4000m),"STEEL, Bryan",Men,GBR,United Kingdom,M,Bronze +Sydney,2000,Cycling,Cycling Track,Team Pursuit (4000m),"MATVEYEV, Sergiy",Men,UKR,Ukraine,M,Silver +Sydney,2000,Cycling,Cycling Track,500m time trial,"JIANG, Cuihua",Women,CHN,China,W,Bronze +Sydney,2000,Cycling,Cycling Track,500m time trial,"BALLANGER, Felicia",Women,FRA,France,W,Gold +Sydney,2000,Cycling,Cycling Track,Madison,"AITKEN, Brett",Men,AUS,Australia,M,Gold +Sydney,2000,Cycling,Cycling Track,Keirin,"NEIWAND, Garry Malcolm",Men,AUS,Australia,M,Silver +Sydney,2000,Cycling,Cycling Track,Olympic Sprint,"ROUSSEAU, Florian",Men,FRA,France,M,Gold +Sydney,2000,Cycling,Cycling Track,Team Pursuit (4000m),"POLLACK, Olaf",Men,GER,Germany,M,Gold +Sydney,2000,Cycling,Cycling Track,Olympic Sprint,"GANE, Laurent",Men,FRA,France,M,Gold +Sydney,2000,Cycling,Cycling Track,Points Race,"WYNANTS, Milton Ariel",Men,URU,Uruguay,M,Silver +Sydney,2000,Cycling,Cycling Track,Olympic Sprint,"MACLEAN, Craig",Men,GBR,United Kingdom,M,Silver +Sydney,2000,Cycling,Cycling Track,Team Pursuit (4000m),"NEWTON, Chris",Men,GBR,United Kingdom,M,Bronze +Sydney,2000,Cycling,Cycling Track,Madison,"MCGRORY, Scott",Men,AUS,Australia,M,Gold +Sydney,2000,Cycling,Cycling Track,Keirin,"ROUSSEAU, Florian",Men,FRA,France,M,Gold +Sydney,2000,Cycling,Cycling Track,Keirin,"FIEDLER, Jens",Men,GER,Germany,M,Bronze +Sydney,2000,Cycling,Cycling Track,Team Pursuit (4000m),"CHERNYAVSKYY, Sergiy",Men,UKR,Ukraine,M,Silver +Sydney,2000,Cycling,Cycling Track,points race,"ZIJLAARD-VAN MOORSEL, Leontien",Women,NED,Netherlands,W,Silver +Sydney,2000,Cycling,Cycling Track,sprint,"BALLANGER, Felicia",Women,FRA,France,W,Gold +Sydney,2000,Cycling,Cycling Track,Points Race,"MARKOV, Alexei",Men,RUS,Russia,M,Bronze +Sydney,2000,Cycling,Cycling Track,Madison,"DE WILDE, Etienne",Men,BEL,Belgium,M,Silver +Sydney,2000,Cycling,Cycling Track,1km time trial,"KELLY, Shane",Men,AUS,Australia,M,Bronze +Sydney,2000,Cycling,Cycling Track,Individual Pursuit,"BARTKO, Robert",Men,GER,Germany,M,Gold +Sydney,2000,Cycling,Cycling Track,Madison,"MARTINELLO, Silvio",Men,ITA,Italy,M,Bronze +Sydney,2000,Cycling,Cycling Track,points race,"BELLUTTI, Antonella",Women,ITA,Italy,W,Gold +Sydney,2000,Cycling,Cycling Track,Madison,"GILMORE, Matthew",Men,BEL,Belgium,M,Silver +Sydney,2000,Cycling,Cycling Track,individual pursuit,"ZIJLAARD-VAN MOORSEL, Leontien",Women,NED,Netherlands,W,Gold +Sydney,2000,Cycling,Cycling Track,500m time trial,"FERRIS, Michelle",Women,AUS,Australia,W,Silver +Sydney,2000,Cycling,Cycling Track,Team Pursuit (4000m),"FULST, Guido",Men,GER,Germany,M,Gold +Sydney,2000,Cycling,Cycling Track,Individual Pursuit,"LEHMANN, Jens",Men,GER,Germany,M,Silver +Sydney,2000,Cycling,Cycling Track,1km time trial,"NIMKE, Stefan",Men,GER,Germany,M,Silver +Sydney,2000,Cycling,Cycling Track,Team Pursuit (4000m),"MANNING, Paul",Men,GBR,United Kingdom,M,Bronze +Sydney,2000,Cycling,Cycling Track,Madison,"VILLA, Marco",Men,ITA,Italy,M,Bronze +Sydney,2000,Cycling,Cycling Track,Olympic Sprint,"TOURNANT, Arnaud",Men,FRA,France,M,Gold +Sydney,2000,Cycling,Cycling Track,Team Pursuit (4000m),"SIMONENKO, Alexander",Men,UKR,Ukraine,M,Silver +Sydney,2000,Cycling,Cycling Track,sprint,"GRISHINA, Oksana",Women,RUS,Russia,W,Silver +Sydney,2000,Cycling,Cycling Track,points race,"SLIOUSSAREVA, Olga",Women,RUS,Russia,W,Bronze +Sydney,2000,Cycling,Cycling Track,Team Pursuit (4000m),"CLAY, Jonny",Men,GBR,United Kingdom,M,Bronze +Sydney,2000,Cycling,Cycling Track,Team Pursuit (4000m),"BARTKO, Robert",Men,GER,Germany,M,Gold +Sydney,2000,Cycling,Cycling Track,Olympic Sprint,"NEIWAND, Garry Malcolm",Men,AUS,Australia,M,Bronze +Sydney,2000,Cycling,Cycling Track,Olympic Sprint,"HILL, Darryn",Men,AUS,Australia,M,Bronze +Sydney,2000,Cycling,Cycling Track,Sprint indivual,"NOTHSTEIN, Marty",Men,USA,United States,M,Gold +Sydney,2000,Cycling,Cycling Track,Olympic Sprint,"QUEALLY, Jason",Men,GBR,United Kingdom,M,Silver +Sydney,2000,Cycling,Cycling Track,Team Pursuit (4000m),"HAYLES, Rob",Men,GBR,United Kingdom,M,Bronze +Sydney,2000,Cycling,Cycling Track,Olympic Sprint,"EADIE, Sean",Men,AUS,Australia,M,Bronze +Sydney,2000,Cycling,Cycling Track,individual pursuit,"MCGREGOR, Yvonne",Women,GBR,United Kingdom,W,Bronze +Sydney,2000,Cycling,Cycling Track,1km time trial,"QUEALLY, Jason",Men,GBR,United Kingdom,M,Gold +Sydney,2000,Cycling,Cycling Track,Team Pursuit (4000m),"FEDENKO, Oleksandr",Men,UKR,Ukraine,M,Silver +Sydney,2000,Cycling,Cycling Track,sprint,"YANOVYCH, Iryna",Women,UKR,Ukraine,W,Bronze +Sydney,2000,Cycling,Cycling Track,Sprint indivual,"ROUSSEAU, Florian",Men,FRA,France,M,Silver +Sydney,2000,Cycling,Cycling Track,individual pursuit,"CLIGNET, Marion",Women,FRA,France,W,Silver +Sydney,2000,Cycling,Mountain Bike,cross-country,"PEZZO, Paola",Women,ITA,Italy,W,Gold +Sydney,2000,Cycling,Mountain Bike,cross-country,"BLATTER, Barbara",Women,SUI,Switzerland,W,Silver +Sydney,2000,Cycling,Mountain Bike,cross-country,"MARTINEZ, Miguel",Men,FRA,France,M,Gold +Sydney,2000,Cycling,Mountain Bike,cross-country,"MEIRHAEGHE, Filip",Men,BEL,Belgium,M,Silver +Sydney,2000,Cycling,Mountain Bike,cross-country,"FULLANA, Marga",Women,ESP,Spain,W,Bronze +Sydney,2000,Cycling,Mountain Bike,cross-country,"SAUSER, Christoph",Men,SUI,Switzerland,M,Bronze +Sydney,2000,Equestrian,Dressage,individual,"SALZGEBER, Ulla",Women,GER,Germany,X,Bronze +Sydney,2000,Equestrian,Dressage,individual,"WERTH, Isabell",Women,GER,Germany,X,Silver +Sydney,2000,Equestrian,Dressage,team,"DOVER, Robert",Men,USA,United States,X,Bronze +Sydney,2000,Equestrian,Dressage,team,"TEEUWISSEN, Arjen",Men,NED,Netherlands,X,Silver +Sydney,2000,Equestrian,Dressage,team,"BONTJE, Ellen",Women,NED,Netherlands,X,Silver +Sydney,2000,Equestrian,Dressage,team,"VAN BAALEN, Coby",Women,NED,Netherlands,X,Silver +Sydney,2000,Equestrian,Dressage,team,"SEIDEL, Guenter",Men,USA,United States,X,Bronze +Sydney,2000,Equestrian,Dressage,team,"CAPELLMANN, Nadine",Women,GER,Germany,X,Gold +Sydney,2000,Equestrian,Dressage,team,"SALZGEBER, Ulla",Women,GER,Germany,X,Gold +Sydney,2000,Equestrian,Dressage,individual,"VAN GRUNSVEN, Anky",Women,NED,Netherlands,X,Gold +Sydney,2000,Equestrian,Dressage,team,"VAN GRUNSVEN, Anky",Women,NED,Netherlands,X,Silver +Sydney,2000,Equestrian,Dressage,team,"TRAURIG, Christine",Women,USA,United States,X,Bronze +Sydney,2000,Equestrian,Dressage,team,"BLINKS, Susan",Women,USA,United States,X,Bronze +Sydney,2000,Equestrian,Dressage,team,"WERTH, Isabell",Women,GER,Germany,X,Gold +Sydney,2000,Equestrian,Dressage,team,"SIMONS DE RIDDER, Alexandra",Women,GER,Germany,X,Gold +Sydney,2000,Equestrian,Eventing,team,"STARK, Ian",Men,GBR,United Kingdom,X,Silver +Sydney,2000,Equestrian,Eventing,team,"DUTTON, Phillip",Men,AUS,Australia,X,Gold +Sydney,2000,Equestrian,Eventing,individual,"O'CONNOR, David",Men,USA,United States,X,Gold +Sydney,2000,Equestrian,Eventing,team,"O'CONNOR, David",Men,USA,United States,X,Bronze +Sydney,2000,Equestrian,Eventing,team,"BRAKEWELL, Jeanette",Women,GBR,United Kingdom,X,Silver +Sydney,2000,Equestrian,Eventing,team,"RYAN, Matthew Morgan",Men,AUS,Australia,X,Gold +Sydney,2000,Equestrian,Eventing,individual,"HOY, Andrew",Men,AUS,Australia,X,Silver +Sydney,2000,Equestrian,Eventing,team,"TINNEY, Stuart",Men,AUS,Australia,X,Gold +Sydney,2000,Equestrian,Eventing,team,"HOY, Andrew",Men,AUS,Australia,X,Gold +Sydney,2000,Equestrian,Eventing,team,"O'CONNOR, Karen",Women,USA,United States,X,Bronze +Sydney,2000,Equestrian,Eventing,team,"FUNNELL, Pippa",Women,GBR,United Kingdom,X,Silver +Sydney,2000,Equestrian,Eventing,team,"FOUT, Nina",Women,USA,United States,X,Bronze +Sydney,2000,Equestrian,Eventing,individual,"TODD, Mark",Men,NZL,New Zealand,X,Bronze +Sydney,2000,Equestrian,Eventing,team,"LAW, Leslie",Men,GBR,United Kingdom,X,Silver +Sydney,2000,Equestrian,Eventing,team,"WIESMAN, Linden",Women,USA,United States,X,Bronze +Sydney,2000,Equestrian,Jumping,individual,"DUBBELDAM, Jeroen",Men,NED,Netherlands,X,Gold +Sydney,2000,Equestrian,Jumping,team,"AZEVEDO, Luiz Felipe",Men,BRA,Brazil,X,Bronze +Sydney,2000,Equestrian,Jumping,team,"PESSOA, Rodrigo",Men,BRA,Brazil,X,Bronze +Sydney,2000,Equestrian,Jumping,team,"FUCHS, Markus",Men,SUI,Switzerland,X,Silver +Sydney,2000,Equestrian,Jumping,team,"MIRANDA NETO, Alvaro",Men,BRA,Brazil,X,Bronze +Sydney,2000,Equestrian,Jumping,team,"MCNAUGHT, Lesley",Women,SUI,Switzerland,X,Silver +Sydney,2000,Equestrian,Jumping,team,"BECKER, Otto",Men,GER,Germany,X,Gold +Sydney,2000,Equestrian,Jumping,team,"EHNING, Marcus",Men,GER,Germany,X,Gold +Sydney,2000,Equestrian,Jumping,team,"BEERBAUM, Ludger",Men,GER,Germany,X,Gold +Sydney,2000,Equestrian,Jumping,team,"MANDLI, Beat",Men,SUI,Switzerland,X,Silver +Sydney,2000,Equestrian,Jumping,team,"MELLIGER, Wilhelm",Men,SUI,Switzerland,X,Silver +Sydney,2000,Equestrian,Jumping,individual,"VOORN, Albert",Men,NED,Netherlands,X,Silver +Sydney,2000,Equestrian,Jumping,individual,"ALEID, Khaled",Men,KSA,Saudi Arabia,X,Bronze +Sydney,2000,Equestrian,Jumping,team,"JOHANNPETER, Andre",Men,BRA,Brazil,X,Bronze +Sydney,2000,Equestrian,Jumping,team,"NIEBERG, Lars",Men,GER,Germany,X,Gold +Sydney,2000,Fencing,Fencing,foil team,"KOENIG, Rita",Women,GER,Germany,W,Bronze +Sydney,2000,Fencing,Fencing,épée team,"MAZZONI, Angelo",Men,ITA,Italy,M,Gold +Sydney,2000,Fencing,Fencing,sabre individual,"GOURDAIN, Mathieu",Men,FRA,France,M,Silver +Sydney,2000,Fencing,Fencing,sabre team,"WEBER, Alexander",Men,GER,Germany,M,Bronze +Sydney,2000,Fencing,Fencing,sabre team,"POZDNYAKOV, Stanislav",Men,RUS,Russia,M,Gold +Sydney,2000,Fencing,Fencing,foil team,"WANG, Haibin",Men,CHN,China,M,Silver +Sydney,2000,Fencing,Fencing,épée individual,"BUERKI, Gianna",Women,SUI,Switzerland,W,Silver +Sydney,2000,Fencing,Fencing,sabre team,"PILLET, Julien",Men,FRA,France,M,Silver +Sydney,2000,Fencing,Fencing,foil individual,"TRILLINI, Giovanna",Women,ITA,Italy,W,Bronze +Sydney,2000,Fencing,Fencing,épée individual,"OBRY, Hughes",Men,FRA,France,M,Silver +Sydney,2000,Fencing,Fencing,sabre team,"SEGUIN, Cedric",Men,FRA,France,M,Silver +Sydney,2000,Fencing,Fencing,épée team,"SRECKI, Eric",Men,FRA,France,M,Silver +Sydney,2000,Fencing,Fencing,sabre team,"BAUER, Dennis",Men,GER,Germany,M,Bronze +Sydney,2000,Fencing,Fencing,foil team,"VEZZALI, Valentina",Women,ITA,Italy,W,Gold +Sydney,2000,Fencing,Fencing,épée team,"LAMON, Sophie",Women,SUI,Switzerland,W,Silver +Sydney,2000,Fencing,Fencing,épée team,"YANG, Shaoqi",Women,CHN,China,W,Bronze +Sydney,2000,Fencing,Fencing,épée team,"ERMAKOVA, Oxana",Women,RUS,Russia,W,Gold +Sydney,2000,Fencing,Fencing,épée team,"LIANG, Qin",Women,CHN,China,W,Bronze +Sydney,2000,Fencing,Fencing,foil individual,"KIM, Young Ho",Men,KOR,"Korea, South",M,Gold +Sydney,2000,Fencing,Fencing,épée team,"LI, Na",Women,CHN,China,W,Bronze +Sydney,2000,Fencing,Fencing,foil team,"DONG, Zhaozhi",Men,CHN,China,M,Silver +Sydney,2000,Fencing,Fencing,épée individual,"NAGY, Timea",Women,HUN,Hungary,W,Gold +Sydney,2000,Fencing,Fencing,épée individual,"FLESSEL-COLOVIC, Laura",Women,FRA,France,W,Bronze +Sydney,2000,Fencing,Fencing,foil team,"GUYART, Brice",Men,FRA,France,M,Gold +Sydney,2000,Fencing,Fencing,épée team,"MILANOLI, Paolo",Men,ITA,Italy,M,Gold +Sydney,2000,Fencing,Fencing,foil individual,"VEZZALI, Valentina",Women,ITA,Italy,W,Gold +Sydney,2000,Fencing,Fencing,épée team,"PEDROSO, Carlos",Men,CUB,Cuba,M,Bronze +Sydney,2000,Fencing,Fencing,foil team,"SZEWCZYK, Barbara",Women,POL,Poland,W,Silver +Sydney,2000,Fencing,Fencing,sabre individual,"KOTHNY, Wiradech",Men,GER,Germany,M,Bronze +Sydney,2000,Fencing,Fencing,épée individual,"KOLOBKOV, Pavel",Men,RUS,Russia,M,Gold +Sydney,2000,Fencing,Fencing,foil team,"WEBER-KOSZTO, Monika",Women,GER,Germany,W,Bronze +Sydney,2000,Fencing,Fencing,épée team,"ROMAGNOLI, Diana",Women,SUI,Switzerland,W,Silver +Sydney,2000,Fencing,Fencing,sabre team,"TOUYA, Damien",Men,FRA,France,M,Silver +Sydney,2000,Fencing,Fencing,foil team,"BAU, Sabine Christiane",Women,GER,Germany,W,Bronze +Sydney,2000,Fencing,Fencing,épée team,"RANDAZZO, Maurizio",Men,ITA,Italy,M,Gold +Sydney,2000,Fencing,Fencing,foil team,"MROCZKIEWICZ, Magdalena",Women,POL,Poland,W,Silver +Sydney,2000,Fencing,Fencing,foil team,"RYBICKA, Anna",Women,POL,Poland,W,Silver +Sydney,2000,Fencing,Fencing,foil team,"ZENNARO, Matteo",Men,ITA,Italy,M,Bronze +Sydney,2000,Fencing,Fencing,foil team,"YE, Chong",Men,CHN,China,M,Silver +Sydney,2000,Fencing,Fencing,épée team,"LOGOUNOVA, Tatiana",Women,RUS,Russia,W,Gold +Sydney,2000,Fencing,Fencing,sabre team,"CHARIKOV, Serguei",Men,RUS,Russia,M,Gold +Sydney,2000,Fencing,Fencing,épée team,"ROTA, Alfredo",Men,ITA,Italy,M,Gold +Sydney,2000,Fencing,Fencing,foil team,"LHOTELLIER, Patrice",Men,FRA,France,M,Gold +Sydney,2000,Fencing,Fencing,sabre team,"GOURDAIN, Mathieu",Men,FRA,France,M,Silver +Sydney,2000,Fencing,Fencing,épée team,"DI MARTINO, Jean-Francois",Men,FRA,France,M,Silver +Sydney,2000,Fencing,Fencing,sabre team,"KOTHNY, Wiradech",Men,GER,Germany,M,Bronze +Sydney,2000,Fencing,Fencing,foil team,"SANZO, Salvatore",Men,ITA,Italy,M,Bronze +Sydney,2000,Fencing,Fencing,épée team,"MAZINA, Mariya",Women,RUS,Russia,W,Gold +Sydney,2000,Fencing,Fencing,épée team,"BUERKI, Gianna",Women,SUI,Switzerland,W,Silver +Sydney,2000,Fencing,Fencing,foil individual,"KOENIG, Rita",Women,GER,Germany,W,Silver +Sydney,2000,Fencing,Fencing,foil team,"BIANCHEDI, Diana",Women,ITA,Italy,W,Gold +Sydney,2000,Fencing,Fencing,foil team,"GRUCHALA, Sylwia",Women,POL,Poland,W,Silver +Sydney,2000,Fencing,Fencing,foil individual,"BISSDORF, Ralf",Men,GER,Germany,M,Silver +Sydney,2000,Fencing,Fencing,sabre individual,"COVALIU, Mihai",Men,ROU,Romania,M,Gold +Sydney,2000,Fencing,Fencing,épée team,"AZNAVOURIAN, Karina",Women,RUS,Russia,W,Gold +Sydney,2000,Fencing,Fencing,épée team,"LOYOLA, Nelson",Men,CUB,Cuba,M,Bronze +Sydney,2000,Fencing,Fencing,épée team,"TREVEJO, Ivan",Men,CUB,Cuba,M,Bronze +Sydney,2000,Fencing,Fencing,sabre team,"FROSSINE, Alexei",Men,RUS,Russia,M,Gold +Sydney,2000,Fencing,Fencing,foil team,"FERRARI, Jean-Noel",Men,FRA,France,M,Gold +Sydney,2000,Fencing,Fencing,foil team,"PLUMENAIL, Lionel",Men,FRA,France,M,Gold +Sydney,2000,Fencing,Fencing,foil team,"MAGNI, Gabriele",Men,ITA,Italy,M,Bronze +Sydney,2000,Fencing,Fencing,foil team,"CROSTA, Daniele",Men,ITA,Italy,M,Bronze +Sydney,2000,Fencing,Fencing,foil team,"TRILLINI, Giovanna",Women,ITA,Italy,W,Gold +Sydney,2000,Fencing,Fencing,foil individual,"SHEVCHENKO, Dmitri",Men,RUS,Russia,M,Bronze +Sydney,2000,Fencing,Fencing,épée team,"OBRY, Hughes",Men,FRA,France,M,Silver +Sydney,2000,Fencing,Fencing,épée individual,"LEE, Sang-Ki",Men,KOR,"Korea, South",M,Bronze +Sydney,2000,Football,Football,football,"NGOME KOME, Daniel",Men,CMR,Cameroon,M,Gold +Sydney,2000,Football,Football,football,"HERNANDEZ, Xavier",Men,ESP,Spain,M,Silver +Sydney,2000,Football,Football,football,"ARRUE, Francisco",Men,CHI,Chile,M,Bronze +Sydney,2000,Football,Football,football,"ARANZUBIA, Daniel",Men,ESP,Spain,M,Silver +Sydney,2000,Football,Football,football,"ROMERO, Jose Maria",Men,ESP,Spain,M,Silver +Sydney,2000,Football,Football,football,"PIZARRO, David",Men,CHI,Chile,M,Bronze +Sydney,2000,Football,Football,football,"STEGEMANN, Kerstin",Women,GER,Germany,W,Bronze +Sydney,2000,Football,Football,football,"GULBRANDSEN, Solveig",Women,NOR,Norway,W,Gold +Sydney,2000,Football,Football,football,"DI GREGORIO, Javier",Men,CHI,Chile,M,Bronze +Sydney,2000,Football,Football,football,"MIMPO, Serge",Men,CMR,Cameroon,M,Gold +Sydney,2000,Football,Football,football,"KRINGEN, Goeril",Women,NOR,Norway,W,Gold +Sydney,2000,Football,Football,football,"MINNERT, Sandra",Women,GER,Germany,W,Bronze +Sydney,2000,Football,Football,football,"OVERBECK, Carla",Women,USA,United States,W,Silver +Sydney,2000,Football,Football,football,"BEKONO NDENE, Daniel",Men,CMR,Cameroon,M,Gold +Sydney,2000,Football,Football,football,"MUELLER, Claudia",Women,GER,Germany,W,Bronze +Sydney,2000,Football,Football,football,"TAMUDO, Raul",Men,ESP,Spain,M,Silver +Sydney,2000,Football,Football,football,"MEYONG ZE, Albert",Men,CMR,Cameroon,M,Gold +Sydney,2000,Football,Football,football,"LINGOR, Renate",Women,GER,Germany,W,Bronze +Sydney,2000,Football,Football,football,"FAWCETT, Joy",Women,USA,United States,W,Silver +Sydney,2000,Football,Football,football,"ESPESETH, Gro",Women,NOR,Norway,W,Gold +Sydney,2000,Football,Football,football,"FAIR, Lorrie",Women,USA,United States,W,Silver +Sydney,2000,Football,Football,football,"LUQUE, Alberto",Men,ESP,Spain,M,Silver +Sydney,2000,Football,Football,football,"HOFFMANN, Melanie",Women,GER,Germany,W,Bronze +Sydney,2000,Football,Football,football,"GRINGS, Inka",Women,GER,Germany,W,Bronze +Sydney,2000,Football,Football,football,"GOTTSCHLICH, Stefanie",Women,GER,Germany,W,Bronze +Sydney,2000,Football,Football,football,"ETO'O FILS, Samuel",Men,CMR,Cameroon,M,Gold +Sydney,2000,Football,Football,football,"NAVIA, Reinaldo",Men,CHI,Chile,M,Bronze +Sydney,2000,Football,Football,football,"MBOMA DEM, Patrick",Men,CMR,Cameroon,M,Gold +Sydney,2000,Football,Football,football,"ZAMORANO, Ivan",Men,CHI,Chile,M,Bronze +Sydney,2000,Football,Football,football,"GOETTE, Jeannette",Women,GER,Germany,W,Bronze +Sydney,2000,Football,Football,football,"OLARRA, Rafael",Men,CHI,Chile,M,Bronze +Sydney,2000,Football,Football,football,"HINGST, Ariane",Women,GER,Germany,W,Bronze +Sydney,2000,Football,Football,football,"SANDAUNE, Brit",Women,NOR,Norway,W,Gold +Sydney,2000,Football,Football,football,"ANGULO, Miguel Angel",Men,ESP,Spain,M,Silver +Sydney,2000,Football,Football,football,"PEARCE, Christie",Women,USA,United States,W,Silver +Sydney,2000,Football,Football,football,"MEINERT, Maren",Women,GER,Germany,W,Bronze +Sydney,2000,Football,Football,football,"NGUIMBAT, Aaron",Men,CMR,Cameroon,M,Gold +Sydney,2000,Football,Football,football,"ALVAREZ, Cristian",Men,CHI,Chile,M,Bronze +Sydney,2000,Football,Football,football,"NORDBY, Bente",Women,NOR,Norway,W,Gold +Sydney,2000,Football,Football,football,"RAPP, Anita",Women,NOR,Norway,W,Gold +Sydney,2000,Football,Football,football,"KAMENI, Idriss C",Men,CMR,Cameroon,M,Gold +Sydney,2000,Football,Football,football,"GONZALEZ, Sebastian",Men,CHI,Chile,M,Bronze +Sydney,2000,Football,Football,football,"MARCHENA, Carlos",Men,ESP,Spain,M,Silver +Sydney,2000,Football,Football,football,"FOUDY, Julie",Women,USA,United States,W,Silver +Sydney,2000,Football,Football,football,"FITSCHEN, Doris",Women,GER,Germany,W,Bronze +Sydney,2000,Football,Football,football,"IBARRA, Manuel",Men,CHI,Chile,M,Bronze +Sydney,2000,Football,Football,football,"ETAME MAYER, Lawren",Men,CMR,Cameroon,M,Gold +Sydney,2000,Football,Football,football,"CAPDEVILA, Juan",Men,ESP,Spain,M,Silver +Sydney,2000,Football,Football,football,"ORTIZ, Felipe",Men,ESP,Spain,M,Silver +Sydney,2000,Football,Football,football,"MELLGREN, Dagny",Women,NOR,Norway,W,Gold +Sydney,2000,Football,Football,football,"ORMAZABAL, Patricio",Men,CHI,Chile,M,Bronze +Sydney,2000,Football,Football,football,"BRANDEBUSEMEYER, Nicole",Women,GER,Germany,W,Bronze +Sydney,2000,Football,Football,football,"HENRIQUEZ, David",Men,CHI,Chile,M,Bronze +Sydney,2000,Football,Football,football,"SLATON, Danielle",Women,USA,United States,W,Silver +Sydney,2000,Football,Football,football,"ROTTENBERG, Silke",Women,GER,Germany,W,Bronze +Sydney,2000,Football,Football,football,"ALNOUDJI, Nicolas",Men,CMR,Cameroon,M,Gold +Sydney,2000,Football,Football,football,"GARCIA, Gabriel",Men,ESP,Spain,M,Silver +Sydney,2000,Football,Football,football,"MALDONADO, Claudio",Men,CHI,Chile,M,Bronze +Sydney,2000,Football,Football,football,"FRENCH, Michelle",Women,USA,United States,W,Silver +Sydney,2000,Football,Football,football,"SCURRY, Briana",Women,USA,United States,W,Silver +Sydney,2000,Football,Football,football,"VELAMAZAN, Antonio",Men,ESP,Spain,M,Silver +Sydney,2000,Football,Football,football,"ALBELDA, David",Men,ESP,Spain,M,Silver +Sydney,2000,Football,Football,football,"BEKKEVOLD, Kristin",Women,NOR,Norway,W,Gold +Sydney,2000,Football,Football,football,"HAUGENES, Margunn",Women,NOR,Norway,W,Gold +Sydney,2000,Football,Football,football,"FERRON, Jordi",Men,ESP,Spain,M,Silver +Sydney,2000,Football,Football,football,"SOBRERO, Kate",Women,USA,United States,W,Silver +Sydney,2000,Football,Football,football,"PETTERSEN, Marianne",Women,NOR,Norway,W,Gold +Sydney,2000,Football,Football,football,"KVITLAND, Bente",Women,NOR,Norway,W,Gold +Sydney,2000,Football,Football,football,"TAPIA, Nelson",Men,CHI,Chile,M,Bronze +Sydney,2000,Football,Football,football,"HOVLAND, Ingeborg",Women,NOR,Norway,W,Gold +Sydney,2000,Football,Football,football,"HAMM, Mia",Women,USA,United States,W,Silver +Sydney,2000,Football,Football,football,"REYES, Pedro",Men,CHI,Chile,M,Bronze +Sydney,2000,Football,Football,football,"GULBRANDSEN, Ragnhild",Women,NOR,Norway,W,Gold +Sydney,2000,Football,Football,football,"JONES, Steffi",Women,GER,Germany,W,Bronze +Sydney,2000,Football,Football,football,"MBAMI, Modeste",Men,CMR,Cameroon,M,Gold +Sydney,2000,Football,Football,football,"TELLO, Rodrigo",Men,CHI,Chile,M,Bronze +Sydney,2000,Football,Football,football,"MACMILLAN, Shannon",Women,USA,United States,W,Silver +Sydney,2000,Football,Football,football,"NUNEZ, Rodrigo",Men,CHI,Chile,M,Bronze +Sydney,2000,Football,Football,football,"LEHN, Unni",Women,NOR,Norway,W,Gold +Sydney,2000,Football,Football,football,"SUFFO K, Patrick",Men,CMR,Cameroon,M,Gold +Sydney,2000,Football,Football,football,"PARLOW, Cindy",Women,USA,United States,W,Silver +Sydney,2000,Football,Football,football,"ROJAS, Mauricio",Men,CHI,Chile,M,Bronze +Sydney,2000,Football,Football,football,"WUNDERLICH, Tina",Women,GER,Germany,W,Bronze +Sydney,2000,Football,Football,football,"SERLENGA, Nikki",Women,USA,United States,W,Silver +Sydney,2000,Football,Football,football,"BRANCO, Serge",Men,CMR,Cameroon,M,Gold +Sydney,2000,Football,Football,football,"CONTRERAS, Pablo",Men,CHI,Chile,M,Bronze +Sydney,2000,Football,Football,football,"VERGARA, Unai",Men,ESP,Spain,M,Silver +Sydney,2000,Football,Football,football,"RIISE, Hege",Women,NOR,Norway,W,Gold +Sydney,2000,Football,Football,football,"PRINZ, Birgit",Women,GER,Germany,W,Bronze +Sydney,2000,Football,Football,football,"KNUDSEN, Monica",Women,NOR,Norway,W,Gold +Sydney,2000,Football,Football,football,"JOERGENSEN, Silje",Women,NOR,Norway,W,Gold +Sydney,2000,Football,Football,football,"WOME NLEND, Pierre",Men,CMR,Cameroon,M,Gold +Sydney,2000,Football,Football,football,"MULLINIX, Siri",Women,USA,United States,W,Silver +Sydney,2000,Football,Football,football,"LILLY, Kristine",Women,USA,United States,W,Silver +Sydney,2000,Football,Football,football,"PUYOL, Carlos",Men,ESP,Spain,M,Silver +Sydney,2000,Football,Football,football,"JENSEN, Christine Boe",Women,NOR,Norway,W,Gold +Sydney,2000,Football,Football,football,"RUIZ, Ismael",Men,ESP,Spain,M,Silver +Sydney,2000,Football,Football,football,"WIEGMANN, Bettina",Women,GER,Germany,W,Bronze +Sydney,2000,Football,Football,football,"ABANDA ETONG, Patrice",Men,CMR,Cameroon,M,Gold +Sydney,2000,Football,Football,football,"NJITAP FOTSO, Geremi",Men,CMR,Cameroon,M,Gold +Sydney,2000,Football,Football,football,"MILBRETT, Tiffeny",Women,USA,United States,W,Silver +Sydney,2000,Football,Football,football,"BEAUD, Clement",Men,CMR,Cameroon,M,Gold +Sydney,2000,Football,Football,football,"WHALEN, Sara",Women,USA,United States,W,Silver +Sydney,2000,Football,Football,football,"CHASTAIN, Brandi",Women,USA,United States,W,Silver +Sydney,2000,Football,Football,football,"ANGERER, Nadine",Women,GER,Germany,W,Bronze +Sydney,2000,Football,Football,football,"AMAYA, Ivan",Men,ESP,Spain,M,Silver +Sydney,2000,Football,Football,football,"EPALLE, Joel",Men,CMR,Cameroon,M,Gold +Sydney,2000,Football,Football,football,"LACRUZ, Jesus Maria",Men,ESP,Spain,M,Silver +Sydney,2000,Gymnastics,Artistic G.,vault,"DEFERR, Gervasio",Men,ESP,Spain,M,Gold +Sydney,2000,Gymnastics,Artistic G.,team competition,"PERESHKURA, Valeriy",Men,UKR,Ukraine,M,Silver +Sydney,2000,Gymnastics,Artistic G.,vault,"BONDARENKO, Alexei",Men,RUS,Russia,M,Silver +Sydney,2000,Gymnastics,Artistic G.,team competition,"KRUKOV, Nikolay",Men,RUS,Russia,M,Bronze +Sydney,2000,Gymnastics,Artistic G.,floor exercises,"AMANAR, Simona",Women,ROU,Romania,W,Bronze +Sydney,2000,Gymnastics,Artistic G.,team competition,"PODGORNYI, Evgueni",Men,RUS,Russia,M,Bronze +Sydney,2000,Gymnastics,Artistic G.,team competition,"TCHEPELEVA, Anna",Women,RUS,Russia,W,Silver +Sydney,2000,Gymnastics,Artistic G.,team competition,"BERESH, Oleksandr",Men,UKR,Ukraine,M,Silver +Sydney,2000,Gymnastics,Artistic G.,team competition,"RAY, Elise",Women,USA,United States,W,Bronze +Sydney,2000,Gymnastics,Artistic G.,individual all-round,"LIU, Xuan",Women,CHN,China,W,Bronze +Sydney,2000,Gymnastics,Artistic G.,floor exercises,"IOVTCHEV, Iordan",Men,BUL,Bulgaria,M,Bronze +Sydney,2000,Gymnastics,Artistic G.,individual all-round,"AMANAR, Simona",Women,ROU,Romania,W,Gold +Sydney,2000,Gymnastics,Artistic G.,team competition,"AMANAR, Simona",Women,ROU,Romania,W,Gold +Sydney,2000,Gymnastics,Artistic G.,rings,"CSOLLANY, Szilveszter",Men,HUN,Hungary,M,Gold +Sydney,2000,Gymnastics,Artistic G.,uneven bars,"LING, Jie",Women,CHN,China,W,Silver +Sydney,2000,Gymnastics,Artistic G.,pommel horse,"POUJADE, Eric",Men,FRA,France,M,Silver +Sydney,2000,Gymnastics,Artistic G.,team competition,"SCHWIKERT-WARREN, Tasha",Women,USA,United States,W,Bronze +Sydney,2000,Gymnastics,Artistic G.,floor exercises,"ZAMOLODCHIKOVA, Elena",Women,RUS,Russia,W,Gold +Sydney,2000,Gymnastics,Artistic G.,uneven bars,"YANG, Yun",Women,CHN,China,W,Bronze +Sydney,2000,Gymnastics,Artistic G.,team competition,"MYEZYENTSEV, Ruslan",Men,UKR,Ukraine,M,Silver +Sydney,2000,Gymnastics,Artistic G.,parallel bars,"LEE, Joo Hyung",Men,KOR,"Korea, South",M,Silver +Sydney,2000,Gymnastics,Artistic G.,floor exercises,"VIHROVS, Igors",Men,LAT,Latvia,M,Gold +Sydney,2000,Gymnastics,Artistic G.,team competition,"PRESACAN, Maria Claudia",Women,ROU,Romania,W,Gold +Sydney,2000,Gymnastics,Artistic G.,individual all-round,"BERESH, Oleksandr",Men,UKR,Ukraine,M,Bronze +Sydney,2000,Gymnastics,Artistic G.,team competition,"ZHENG, Lihui",Men,CHN,China,M,Gold +Sydney,2000,Gymnastics,Artistic G.,team competition,"YANG, Wey",Men,CHN,China,M,Gold +Sydney,2000,Gymnastics,Artistic G.,team competition,"ISARESCU, Andreea Florenta",Women,ROU,Romania,W,Gold +Sydney,2000,Gymnastics,Artistic G.,floor exercises,"KHORKINA, Svetlana",Women,RUS,Russia,W,Silver +Sydney,2000,Gymnastics,Artistic G.,team competition,"GONCHAROV, Valeri",Men,UKR,Ukraine,M,Silver +Sydney,2000,Gymnastics,Artistic G.,team competition,"CHOW, Amy",Women,USA,United States,W,Bronze +Sydney,2000,Gymnastics,Artistic G.,team competition,"XIAO, Junfeng",Men,CHN,China,M,Gold +Sydney,2000,Gymnastics,Artistic G.,floor exercises,"NEMOV, Alexei",Men,RUS,Russia,M,Silver +Sydney,2000,Gymnastics,Artistic G.,vault,"ZAMOLODCHIKOVA, Elena",Women,RUS,Russia,W,Gold +Sydney,2000,Gymnastics,Artistic G.,balance beam,"LOBAZNIOUK, Ekaterina",Women,RUS,Russia,W,Silver +Sydney,2000,Gymnastics,Artistic G.,individual all-round,"NEMOV, Alexei",Men,RUS,Russia,M,Gold +Sydney,2000,Gymnastics,Artistic G.,horizontal bar,"NEMOV, Alexei",Men,RUS,Russia,M,Gold +Sydney,2000,Gymnastics,Artistic G.,horizontal bar,"VARONIAN, Benjamin",Men,FRA,France,M,Silver +Sydney,2000,Gymnastics,Artistic G.,individual all-round,"OLARU, Maria",Women,ROU,Romania,W,Silver +Sydney,2000,Gymnastics,Artistic G.,parallel bars,"LI, Xiaopeng",Men,CHN,China,M,Gold +Sydney,2000,Gymnastics,Artistic G.,vault,"LOBAZNIOUK, Ekaterina",Women,RUS,Russia,W,Bronze +Sydney,2000,Gymnastics,Artistic G.,team competition,"DAWES, Dominique",Women,USA,United States,W,Bronze +Sydney,2000,Gymnastics,Artistic G.,team competition,"MALONEY, Kristin",Women,USA,United States,W,Bronze +Sydney,2000,Gymnastics,Artistic G.,team competition,"LI, Xiaopeng",Men,CHN,China,M,Gold +Sydney,2000,Gymnastics,Artistic G.,team competition,"KOLESNIKOVA, Anastassia",Women,RUS,Russia,W,Silver +Sydney,2000,Gymnastics,Artistic G.,vault,"BLANIK, Leszek",Men,POL,Poland,M,Bronze +Sydney,2000,Gymnastics,Artistic G.,team competition,"BONDARENKO, Alexei",Men,RUS,Russia,M,Bronze +Sydney,2000,Gymnastics,Artistic G.,uneven bars,"KHORKINA, Svetlana",Women,RUS,Russia,W,Gold +Sydney,2000,Gymnastics,Artistic G.,vault,"RADUCAN, Andreea Madalina",Women,ROU,Romania,W,Silver +Sydney,2000,Gymnastics,Artistic G.,rings,"TAMPAKOS, Dimosthenis",Men,GRE,Greece,M,Silver +Sydney,2000,Gymnastics,Artistic G.,team competition,"KHORKINA, Svetlana",Women,RUS,Russia,W,Silver +Sydney,2000,Gymnastics,Artistic G.,team competition,"BOBOC, Loredana",Women,ROU,Romania,W,Gold +Sydney,2000,Gymnastics,Artistic G.,team competition,"ZOZULIA, Roman",Men,UKR,Ukraine,M,Silver +Sydney,2000,Gymnastics,Artistic G.,team competition,"PRODOUNOVA, Elena",Women,RUS,Russia,W,Silver +Sydney,2000,Gymnastics,Artistic G.,team competition,"NEMOV, Alexei",Men,RUS,Russia,M,Bronze +Sydney,2000,Gymnastics,Artistic G.,team competition,"OLARU, Maria",Women,ROU,Romania,W,Gold +Sydney,2000,Gymnastics,Artistic G.,team competition,"XING, Aowei",Men,CHN,China,M,Gold +Sydney,2000,Gymnastics,Artistic G.,rings,"IOVTCHEV, Iordan",Men,BUL,Bulgaria,M,Bronze +Sydney,2000,Gymnastics,Artistic G.,team competition,"ALECHINE, Maxim",Men,RUS,Russia,M,Bronze +Sydney,2000,Gymnastics,Artistic G.,team competition,"RADUCAN, Andreea Madalina",Women,ROU,Romania,W,Gold +Sydney,2000,Gymnastics,Artistic G.,pommel horse,"URZICA, Marius Daniel",Men,ROU,Romania,M,Gold +Sydney,2000,Gymnastics,Artistic G.,team competition,"LOBAZNIOUK, Ekaterina",Women,RUS,Russia,W,Silver +Sydney,2000,Gymnastics,Artistic G.,team competition,"DANTZSCHER, Jamie",Women,USA,United States,W,Bronze +Sydney,2000,Gymnastics,Artistic G.,team competition,"HUANG, Xu",Men,CHN,China,M,Gold +Sydney,2000,Gymnastics,Artistic G.,parallel bars,"NEMOV, Alexei",Men,RUS,Russia,M,Bronze +Sydney,2000,Gymnastics,Artistic G.,team competition,"SVETLICHNYI, Alexandre",Men,UKR,Ukraine,M,Silver +Sydney,2000,Gymnastics,Artistic G.,horizontal bar,"LEE, Joo Hyung",Men,KOR,"Korea, South",M,Bronze +Sydney,2000,Gymnastics,Artistic G.,balance beam,"PRODOUNOVA, Elena",Women,RUS,Russia,W,Bronze +Sydney,2000,Gymnastics,Artistic G.,pommel horse,"NEMOV, Alexei",Men,RUS,Russia,M,Bronze +Sydney,2000,Gymnastics,Artistic G.,balance beam,"LIU, Xuan",Women,CHN,China,W,Gold +Sydney,2000,Gymnastics,Artistic G.,individual all-round,"YANG, Wey",Men,CHN,China,M,Silver +Sydney,2000,Gymnastics,Artistic G.,team competition,"ZAMOLODCHIKOVA, Elena",Women,RUS,Russia,W,Silver +Sydney,2000,Gymnastics,Artistic G.,team competition,"DREVINE, Dmitri",Men,RUS,Russia,M,Bronze +Sydney,2000,Gymnastics,Rhythmic G.,group competition,"POLLATOU, Anna",Women,GRE,Greece,W,Bronze +Sydney,2000,Gymnastics,Rhythmic G.,group competition,"CHALAMOVA, Elena",Women,RUS,Russia,W,Gold +Sydney,2000,Gymnastics,Rhythmic G.,group competition,"GLAZKOVA, Anna",Women,BLR,Belarus,W,Silver +Sydney,2000,Gymnastics,Rhythmic G.,group competition,"LAZUK, Maria",Women,BLR,Belarus,W,Silver +Sydney,2000,Gymnastics,Rhythmic G.,group competition,"CHRISTODOULOU, Evangelia",Women,GRE,Greece,W,Bronze +Sydney,2000,Gymnastics,Rhythmic G.,group competition,"AINDILI, Eirini",Women,GRE,Greece,W,Bronze +Sydney,2000,Gymnastics,Rhythmic G.,group competition,"PANTAZI, Charikleia",Women,GRE,Greece,W,Bronze +Sydney,2000,Gymnastics,Rhythmic G.,individual all-round,"KABAEVA, Alina",Women,RUS,Russia,W,Bronze +Sydney,2000,Gymnastics,Rhythmic G.,group competition,"KARYAMI, Zacharoula",Women,GRE,Greece,W,Bronze +Sydney,2000,Gymnastics,Rhythmic G.,group competition,"ANANKO, Tatyana",Women,BLR,Belarus,W,Silver +Sydney,2000,Gymnastics,Rhythmic G.,group competition,"PUZHEVICH, Olga",Women,BLR,Belarus,W,Silver +Sydney,2000,Gymnastics,Rhythmic G.,group competition,"ZILBER, Irina",Women,RUS,Russia,W,Gold +Sydney,2000,Gymnastics,Rhythmic G.,group competition,"BELOVA, Irina",Women,RUS,Russia,W,Gold +Sydney,2000,Gymnastics,Rhythmic G.,group competition,"LAVROVA, Natalia",Women,RUS,Russia,W,Gold +Sydney,2000,Gymnastics,Rhythmic G.,group competition,"GEORGATOU, Maria",Women,GRE,Greece,W,Bronze +Sydney,2000,Gymnastics,Rhythmic G.,group competition,"ILYENKOVA, Irina",Women,BLR,Belarus,W,Silver +Sydney,2000,Gymnastics,Rhythmic G.,group competition,"SHIMANSKAYA, Vera",Women,RUS,Russia,W,Gold +Sydney,2000,Gymnastics,Rhythmic G.,individual all-round,"RASKINA, Yulia",Women,BLR,Belarus,W,Silver +Sydney,2000,Gymnastics,Rhythmic G.,individual all-round,"BARSLUKOVA, Yulia",Women,RUS,Russia,W,Gold +Sydney,2000,Gymnastics,Rhythmic G.,group competition,"NETESSOVA, Maria",Women,RUS,Russia,W,Gold +Sydney,2000,Gymnastics,Rhythmic G.,group competition,"BELAN, Tatyana",Women,BLR,Belarus,W,Silver +Sydney,2000,Gymnastics,Trampoline,individual,"KARAVAEVA, Irina",Women,RUS,Russia,W,Gold +Sydney,2000,Gymnastics,Trampoline,individual,"WALLACE, Ji",Men,AUS,Australia,M,Silver +Sydney,2000,Gymnastics,Trampoline,individual,"TSYHULEVA, Oksana",Women,UKR,Ukraine,W,Silver +Sydney,2000,Gymnastics,Trampoline,individual,"COCKBURN, Karen",Women,CAN,Canada,W,Bronze +Sydney,2000,Gymnastics,Trampoline,individual,"MOSKALENKO, Alexander",Men,RUS,Russia,M,Gold +Sydney,2000,Gymnastics,Trampoline,individual,"TURGEON, Mathieu",Men,CAN,Canada,M,Bronze +Sydney,2000,Handball,Handball,handball,"OLSSON, Staffan",Men,SWE,Sweden,M,Silver +Sydney,2000,Handball,Handball,handball,"TUCHKIN, Alexandre",Men,RUS,Russia,M,Gold +Sydney,2000,Handball,Handball,handball,"THORSSON, Pierre",Men,SWE,Sweden,M,Silver +Sydney,2000,Handball,Handball,handball,"FILIPPOV, Dmitriy",Men,RUS,Russia,M,Gold +Sydney,2000,Handball,Handball,handball,"PEREZ, Juan",Men,ESP,Spain,M,Bronze +Sydney,2000,Handball,Handball,handball,"LAVROV, Andrey",Men,RUS,Russia,M,Gold +Sydney,2000,Handball,Handball,handball,"KOUZELEV, Dmitri",Men,RUS,Russia,M,Gold +Sydney,2000,Handball,Handball,handball,"KOLLING, Janne",Women,DEN,Denmark,W,Gold +Sydney,2000,Handball,Handball,handball,"PIGNICZKI, Krisztina",Women,HUN,Hungary,W,Silver +Sydney,2000,Handball,Handball,handball,"FRANZEN, Mathias",Men,SWE,Sweden,M,Silver +Sydney,2000,Handball,Handball,handball,"NILSEN, Jeanette",Women,NOR,Norway,W,Bronze +Sydney,2000,Handball,Handball,handball,"ORTEGA, Antonio",Men,ESP,Spain,M,Bronze +Sydney,2000,Handball,Handball,handball,"SANDVE, Monica",Women,NOR,Norway,W,Bronze +Sydney,2000,Handball,Handball,handball,"SUKOSSIAN, Pavel",Men,RUS,Russia,M,Gold +Sydney,2000,Handball,Handball,handball,"SIVERTSSON, Thomas",Men,SWE,Sweden,M,Silver +Sydney,2000,Handball,Handball,handball,"MORTENSEN, Karin",Women,DEN,Denmark,W,Gold +Sydney,2000,Handball,Handball,handball,"DOUICHEBAEV, Talant",Men,ESP,Spain,M,Bronze +Sydney,2000,Handball,Handball,handball,"LOZANO, Demetrio",Men,ESP,Spain,M,Bronze +Sydney,2000,Handball,Handball,handball,"O'CALLAGHAN, Xavier",Men,ESP,Spain,M,Bronze +Sydney,2000,Handball,Handball,handball,"KIAERSKOU, Lotte",Women,DEN,Denmark,W,Gold +Sydney,2000,Handball,Handball,handball,"ZSEMBERY, Tamasne",Women,HUN,Hungary,W,Silver +Sydney,2000,Handball,Handball,handball,"ANDERSSON, Magnus",Men,SWE,Sweden,M,Silver +Sydney,2000,Handball,Handball,handball,"SAETTEM, Birgitte",Women,NOR,Norway,W,Bronze +Sydney,2000,Handball,Handball,handball,"ANDERSEN, Camilla",Women,DEN,Denmark,W,Gold +Sydney,2000,Handball,Handball,handball,"BJERKRHEIM, Susann Goksoer",Women,NOR,Norway,W,Bronze +Sydney,2000,Handball,Handball,handball,"DELI, Rita",Women,HUN,Hungary,W,Silver +Sydney,2000,Handball,Handball,handball,"LEGANGER, Cecilie",Women,NOR,Norway,W,Bronze +Sydney,2000,Handball,Handball,handball,"URDANGARIN, Ignacio",Men,ESP,Spain,M,Bronze +Sydney,2000,Handball,Handball,handball,"TJUGUM, Heidi Maire",Women,NOR,Norway,W,Bronze +Sydney,2000,Handball,Handball,handball,"FRANDESJO, Martin",Men,SWE,Sweden,M,Silver +Sydney,2000,Handball,Handball,handball,"OLALLA, Jesus",Men,ESP,Spain,M,Bronze +Sydney,2000,Handball,Handball,handball,"URDIALES, Alberto",Men,ESP,Spain,M,Bronze +Sydney,2000,Handball,Handball,handball,"FARKAS, Agnes",Women,HUN,Hungary,W,Silver +Sydney,2000,Handball,Handball,handball,"KOULINTCHENKO, Stanislav",Men,RUS,Russia,M,Gold +Sydney,2000,Handball,Handball,handball,"HALTVIK, Trine",Women,NOR,Norway,W,Bronze +Sydney,2000,Handball,Handball,handball,"KRIVOSHLYKOV, Denis",Men,RUS,Russia,M,Gold +Sydney,2000,Handball,Handball,handball,"MASIP BORRAS, Enric",Men,ESP,Spain,M,Bronze +Sydney,2000,Handball,Handball,handball,"HANSEN, Christina Roslyng",Women,DEN,Denmark,W,Gold +Sydney,2000,Handball,Handball,handball,"KOUDINOV, Vassili",Men,RUS,Russia,M,Gold +Sydney,2000,Handball,Handball,handball,"BARRUFET, David",Men,ESP,Spain,M,Bronze +Sydney,2000,Handball,Handball,handball,"BRODSGAARD, Karen",Women,DEN,Denmark,W,Gold +Sydney,2000,Handball,Handball,handball,"LINDGREN, Ola",Men,SWE,Sweden,M,Silver +Sydney,2000,Handball,Handball,handball,"DUVHOLT, Kristine",Women,NOR,Norway,W,Bronze +Sydney,2000,Handball,Handball,handball,"FARKAS, Andrea",Women,HUN,Hungary,W,Silver +Sydney,2000,Handball,Handball,handball,"WISLANDER, Magnus",Men,SWE,Sweden,M,Silver +Sydney,2000,Handball,Handball,handball,"BOQUIST, Martin",Men,SWE,Sweden,M,Silver +Sydney,2000,Handball,Handball,handball,"VESTERGAARD LARSEN, Mette",Women,DEN,Denmark,W,Gold +Sydney,2000,Handball,Handball,handball,"KJAERGAARD, Tonje",Women,DEN,Denmark,W,Gold +Sydney,2000,Handball,Handball,handball,"TORGOVANOV, Dmitri",Men,RUS,Russia,M,Gold +Sydney,2000,Handball,Handball,handball,"SITI, Beata",Women,HUN,Hungary,W,Silver +Sydney,2000,Handball,Handball,handball,"GENTZEL, Peter",Men,SWE,Sweden,M,Silver +Sydney,2000,Handball,Handball,handball,"BALOGH, Beatrix",Women,HUN,Hungary,W,Silver +Sydney,2000,Handball,Handball,handball,"SVENSSON, Tomas",Men,SWE,Sweden,M,Silver +Sydney,2000,Handball,Handball,handball,"KANTOR, Aniko",Women,HUN,Hungary,W,Silver +Sydney,2000,Handball,Handball,handball,"FRUELUND, Katrine",Women,DEN,Denmark,W,Gold +Sydney,2000,Handball,Handball,handball,"GRONBEK, Maja",Women,DEN,Denmark,W,Gold +Sydney,2000,Handball,Handball,handball,"GARRALDA, Mateo",Men,ESP,Spain,M,Bronze +Sydney,2000,Handball,Handball,handball,"POGORELOV, Serguei",Men,RUS,Russia,M,Gold +Sydney,2000,Handball,Handball,handball,"KHODKOV, Oleg",Men,RUS,Russia,M,Gold +Sydney,2000,Handball,Handball,handball,"LOWY, Dora",Women,HUN,Hungary,W,Silver +Sydney,2000,Handball,Handball,handball,"KULCSAR, Anita",Women,HUN,Hungary,W,Silver +Sydney,2000,Handball,Handball,handball,"LARSSON, Andreas",Men,SWE,Sweden,M,Silver +Sydney,2000,Handball,Handball,handball,"GRINI, Kjersti",Women,NOR,Norway,W,Bronze +Sydney,2000,Handball,Handball,handball,"LARSEN, Tonje",Women,NOR,Norway,W,Bronze +Sydney,2000,Handball,Handball,handball,"VRANJES, Ljubomir",Men,SWE,Sweden,M,Silver +Sydney,2000,Handball,Handball,handball,"ERIKSEN, Ann",Women,NOR,Norway,W,Bronze +Sydney,2000,Handball,Handball,handball,"NAGY, Aniko",Women,HUN,Hungary,W,Silver +Sydney,2000,Handball,Handball,handball,"RANTALA, Lene",Women,DEN,Denmark,W,Gold +Sydney,2000,Handball,Handball,handball,"GORPICHIN, Viatcheslav",Men,RUS,Russia,M,Gold +Sydney,2000,Handball,Handball,handball,"SOERLIE, Else-Marthe",Women,NOR,Norway,W,Bronze +Sydney,2000,Handball,Handball,handball,"UGALDE, Antonio",Men,ESP,Spain,M,Bronze +Sydney,2000,Handball,Handball,handball,"PADAR, Ildiko",Women,HUN,Hungary,W,Silver +Sydney,2000,Handball,Handball,handball,"BOTTZAU, Tina",Women,DEN,Denmark,W,Gold +Sydney,2000,Handball,Handball,handball,"KOKENY, Beatrix",Women,HUN,Hungary,W,Silver +Sydney,2000,Handball,Handball,handball,"KOKCHAROV, Edouard",Men,RUS,Russia,M,Gold +Sydney,2000,Handball,Handball,handball,"NUNEZ, Jordi",Men,ESP,Spain,M,Bronze +Sydney,2000,Handball,Handball,handball,"XEPKIN, Andriy",Men,ESP,Spain,M,Bronze +Sydney,2000,Handball,Handball,handball,"VORONIN, Lev",Men,RUS,Russia,M,Gold +Sydney,2000,Handball,Handball,handball,"ROKNE, Marianne",Women,NOR,Norway,W,Bronze +Sydney,2000,Handball,Handball,handball,"GUIJOSA, Rafael",Men,ESP,Spain,M,Bronze +Sydney,2000,Handball,Handball,handball,"RADULOVICS, Bojana",Women,HUN,Hungary,W,Silver +Sydney,2000,Handball,Handball,handball,"PETERSEN, Rikke",Women,DEN,Denmark,W,Gold +Sydney,2000,Handball,Handball,handball,"PETTERSSON, Johan",Men,SWE,Sweden,M,Silver +Sydney,2000,Handball,Handball,handball,"HOFFMAN, Anette",Women,DEN,Denmark,W,Gold +Sydney,2000,Handball,Handball,handball,"HUNDVIN, Mia",Women,NOR,Norway,W,Bronze +Sydney,2000,Handball,Handball,handball,"HILMO, Elisabeth",Women,NOR,Norway,W,Bronze +Sydney,2000,Handball,Handball,handball,"LAVROV, Igor",Men,RUS,Russia,M,Gold +Sydney,2000,Handball,Handball,handball,"NIELSEN, Anja",Women,DEN,Denmark,W,Gold +Sydney,2000,Handball,Handball,handball,"PALINGER, Katalin",Women,HUN,Hungary,W,Silver +Sydney,2000,Handball,Handball,handball,"LOFGREN, Stefan",Men,SWE,Sweden,M,Silver +Sydney,2000,Hockey,Hockey,hockey,"BRINKMAN, Jacques",Men,NED,Netherlands,M,Gold +Sydney,2000,Hockey,Hockey,hockey,"TOUW, Daphne",Women,NED,Netherlands,W,Bronze +Sydney,2000,Hockey,Hockey,hockey,"MITCHELL-TAVERNER, Claire",Women,AUS,Australia,W,Gold +Sydney,2000,Hockey,Hockey,hockey,"KIM, Jung-Chul",Men,KOR,"Korea, South",M,Silver +Sydney,2000,Hockey,Hockey,hockey,"VAN PELT, Wouter",Men,NED,Netherlands,M,Gold +Sydney,2000,Hockey,Hockey,hockey,"FERRARI, Maria Paz",Women,ARG,Argentina,W,Silver +Sydney,2000,Hockey,Hockey,hockey,"JI, Seong-Hwan",Men,KOR,"Korea, South",M,Silver +Sydney,2000,Hockey,Hockey,hockey,"STACEY, Jay Jason",Men,AUS,Australia,M,Bronze +Sydney,2000,Hockey,Hockey,hockey,"MORRIS, Jenny",Women,AUS,Australia,W,Gold +Sydney,2000,Hockey,Hockey,hockey,"STARRE, Katie",Women,AUS,Australia,W,Gold +Sydney,2000,Hockey,Hockey,hockey,"VAN WEEL, Diederik",Men,NED,Netherlands,M,Gold +Sydney,2000,Hockey,Hockey,hockey,"LIM, Jong-Chun",Men,KOR,"Korea, South",M,Silver +Sydney,2000,Hockey,Hockey,hockey,"AYMAR, Luciana",Women,ARG,Argentina,W,Silver +Sydney,2000,Hockey,Hockey,hockey,"DAVIES, Stephen",Men,AUS,Australia,M,Bronze +Sydney,2000,Hockey,Hockey,hockey,"TOWERS, Julie",Women,AUS,Australia,W,Gold +Sydney,2000,Hockey,Hockey,hockey,"VAN DER VAART, Macha",Women,NED,Netherlands,W,Bronze +Sydney,2000,Hockey,Hockey,hockey,"ANTONISKA, Mariela",Women,ARG,Argentina,W,Silver +Sydney,2000,Hockey,Hockey,hockey,"STEPNIK, Ayelen Iara",Women,ARG,Argentina,W,Silver +Sydney,2000,Hockey,Hockey,hockey,"BUMA, Jaap Derk",Men,NED,Netherlands,M,Gold +Sydney,2000,Hockey,Hockey,hockey,"HAWKES, Rechelle",Women,AUS,Australia,W,Gold +Sydney,2000,Hockey,Hockey,hockey,"TEEUWEN, Josepha",Women,NED,Netherlands,W,Bronze +Sydney,2000,Hockey,Hockey,hockey,"GARCIA, Agustina",Women,ARG,Argentina,W,Silver +Sydney,2000,Hockey,Hockey,hockey,"ARRONDO, Ines",Women,ARG,Argentina,W,Silver +Sydney,2000,Hockey,Hockey,hockey,"YORK, Michael",Men,AUS,Australia,M,Bronze +Sydney,2000,Hockey,Hockey,hockey,"MOREIRA DE MELO, Fatima",Women,NED,Netherlands,W,Bronze +Sydney,2000,Hockey,Hockey,hockey,"SPROULE, Daniel",Men,AUS,Australia,M,Bronze +Sydney,2000,Hockey,Hockey,hockey,"LIM, Jung-Woo",Men,KOR,"Korea, South",M,Silver +Sydney,2000,Hockey,Hockey,hockey,"JEON, Jong-Ha",Men,KOR,"Korea, South",M,Silver +Sydney,2000,Hockey,Hockey,hockey,"JEON, Hong-Kwon",Men,KOR,"Korea, South",M,Silver +Sydney,2000,Hockey,Hockey,hockey,"VAN DER WIELEN, Suzan",Women,NED,Netherlands,W,Bronze +Sydney,2000,Hockey,Hockey,hockey,"LIVERMORE, Brent",Men,AUS,Australia,M,Bronze +Sydney,2000,Hockey,Hockey,hockey,"JANSEN, Franciscus Ronaldus Maria",Men,NED,Netherlands,M,Gold +Sydney,2000,Hockey,Hockey,hockey,"GEERIS, Piet-Hein",Men,NED,Netherlands,M,Gold +Sydney,2000,Hockey,Hockey,hockey,"DEITERS, Julie",Women,NED,Netherlands,W,Bronze +Sydney,2000,Hockey,Hockey,hockey,"VAN WIJK, Remco",Men,NED,Netherlands,M,Gold +Sydney,2000,Hockey,Hockey,hockey,"KIM, Yong-Bae",Men,KOR,"Korea, South",M,Silver +Sydney,2000,Hockey,Hockey,hockey,"RIMOLDI PUIG, Jorgelina",Women,ARG,Argentina,W,Silver +Sydney,2000,Hockey,Hockey,hockey,"DONNERS, Wilhelmina",Women,NED,Netherlands,W,Bronze +Sydney,2000,Hockey,Hockey,hockey,"DREHER, Lachlan",Men,AUS,Australia,M,Bronze +Sydney,2000,Hockey,Hockey,hockey,"BOOMGAARDT, Ageeth",Women,NED,Netherlands,W,Bronze +Sydney,2000,Hockey,Hockey,hockey,"AICEGA, Magdalena",Women,ARG,Argentina,W,Silver +Sydney,2000,Hockey,Hockey,hockey,"YEO, Woon-Kon",Men,KOR,"Korea, South",M,Silver +Sydney,2000,Hockey,Hockey,hockey,"ROGNONI, Maria Cecilia",Women,ARG,Argentina,W,Silver +Sydney,2000,Hockey,Hockey,hockey,"HAN, Hyung-Bae",Men,KOR,"Korea, South",M,Silver +Sydney,2000,Hockey,Hockey,hockey,"EIKELBOOM, Marten",Men,NED,Netherlands,M,Gold +Sydney,2000,Hockey,Hockey,hockey,"VAN DER WEIDE, Sander",Men,NED,Netherlands,M,Gold +Sydney,2000,Hockey,Hockey,hockey,"FARRELL, Renita",Women,AUS,Australia,W,Gold +Sydney,2000,Hockey,Hockey,hockey,"KANG, Keon-Wook",Men,KOR,"Korea, South",M,Silver +Sydney,2000,Hockey,Hockey,hockey,"VUKOJICIC, Paola",Women,ARG,Argentina,W,Silver +Sydney,2000,Hockey,Hockey,hockey,"VAN DEN BOOGAARD, Dillianne",Women,NED,Netherlands,W,Bronze +Sydney,2000,Hockey,Hockey,hockey,"COMMENS, Adam",Men,AUS,Australia,M,Bronze +Sydney,2000,Hockey,Hockey,hockey,"POWELL, Katrina",Women,AUS,Australia,W,Gold +Sydney,2000,Hockey,Hockey,hockey,"VEENSTRA, Myrna",Women,NED,Netherlands,W,Bronze +Sydney,2000,Hockey,Hockey,hockey,"ALLEN, Katie",Women,AUS,Australia,W,Gold +Sydney,2000,Hockey,Hockey,hockey,"SONG, Seung-Tae",Men,KOR,"Korea, South",M,Silver +Sydney,2000,Hockey,Hockey,hockey,"IMISON, Rachel",Women,AUS,Australia,W,Gold +Sydney,2000,Hockey,Hockey,hockey,"HWANG, Jong-Hyun",Men,KOR,"Korea, South",M,Silver +Sydney,2000,Hockey,Hockey,hockey,"SMABERS, Minke",Women,NED,Netherlands,W,Bronze +Sydney,2000,Hockey,Hockey,hockey,"LOMANS, Bram",Men,NED,Netherlands,M,Gold +Sydney,2000,Hockey,Hockey,hockey,"WELLS, Matthew",Men,AUS,Australia,M,Bronze +Sydney,2000,Hockey,Hockey,hockey,"SKIRVING, Angie",Women,AUS,Australia,W,Gold +Sydney,2000,Hockey,Hockey,hockey,"ELDER, Troy",Men,AUS,Australia,M,Bronze +Sydney,2000,Hockey,Hockey,hockey,"ELMER, James",Men,AUS,Australia,M,Bronze +Sydney,2000,Hockey,Hockey,hockey,"GAUDOIN, Paul",Men,AUS,Australia,M,Bronze +Sydney,2000,Hockey,Hockey,hockey,"KIM, Yoon",Men,KOR,"Korea, South",M,Silver +Sydney,2000,Hockey,Hockey,hockey,"VEEN, Stephan",Men,NED,Netherlands,M,Gold +Sydney,2000,Hockey,Hockey,hockey,"HUDSON, Nicole",Women,AUS,Australia,W,Gold +Sydney,2000,Hockey,Hockey,hockey,"MAITLAND, Clover",Women,AUS,Australia,W,Gold +Sydney,2000,Hockey,Hockey,hockey,"MARGALOT, Mercedes",Women,ARG,Argentina,W,Silver +Sydney,2000,Hockey,Hockey,hockey,"KIM, Kyung Seok",Men,KOR,"Korea, South",M,Silver +Sydney,2000,Hockey,Hockey,hockey,"DILETTI, Damon",Men,AUS,Australia,M,Bronze +Sydney,2000,Hockey,Hockey,hockey,"SEO, Jong-Ho",Men,KOR,"Korea, South",M,Silver +Sydney,2000,Hockey,Hockey,hockey,"BOOIJ, Minke",Women,NED,Netherlands,W,Bronze +Sydney,2000,Hockey,Hockey,hockey,"THATE, Carole",Women,NED,Netherlands,W,Bronze +Sydney,2000,Hockey,Hockey,hockey,"MAIZTEGUI, Laura",Women,ARG,Argentina,W,Silver +Sydney,2000,Hockey,Hockey,hockey,"DELMEE, Jeroen",Men,NED,Netherlands,M,Gold +Sydney,2000,Hockey,Hockey,hockey,"MASOTTA, Paula Karina",Women,ARG,Argentina,W,Silver +Sydney,2000,Hockey,Hockey,hockey,"JAZET, Erik",Men,NED,Netherlands,M,Gold +Sydney,2000,Hockey,Hockey,hockey,"WIND, Peter",Men,NED,Netherlands,M,Gold +Sydney,2000,Hockey,Hockey,hockey,"DE NOOIJER, Teun",Men,NED,Netherlands,M,Gold +Sydney,2000,Hockey,Hockey,hockey,"ANNAN, Alyson",Women,AUS,Australia,W,Gold +Sydney,2000,Hockey,Hockey,hockey,"HASLAM, Juliet",Women,AUS,Australia,W,Gold +Sydney,2000,Hockey,Hockey,hockey,"VAN DE KIEFT, Fleur",Women,NED,Netherlands,W,Bronze +Sydney,2000,Hockey,Hockey,hockey,"VICTORY, Craig",Men,AUS,Australia,M,Bronze +Sydney,2000,Hockey,Hockey,hockey,"HERNANDEZ, Maria de la Paz",Women,ARG,Argentina,W,Silver +Sydney,2000,Hockey,Hockey,hockey,"DUFF, Jason",Men,AUS,Australia,M,Bronze +Sydney,2000,Hockey,Hockey,hockey,"ONETO, Vanina Paula",Women,ARG,Argentina,W,Silver +Sydney,2000,Hockey,Hockey,hockey,"HOLT, Stephen",Men,AUS,Australia,M,Bronze +Sydney,2000,Hockey,Hockey,hockey,"SMABERS, Hanneke",Women,NED,Netherlands,W,Bronze +Sydney,2000,Hockey,Hockey,hockey,"KIM, Chel-Hwan",Men,KOR,"Korea, South",M,Silver +Sydney,2000,Hockey,Hockey,hockey,"SINNIGE, Clarinda",Women,NED,Netherlands,W,Bronze +Sydney,2000,Hockey,Hockey,hockey,"PEEK, Alison Louise",Women,AUS,Australia,W,Gold +Sydney,2000,Hockey,Hockey,hockey,"VOGELS, Guus",Men,NED,Netherlands,M,Gold +Sydney,2000,Hockey,Hockey,hockey,"GAMBERO, Ana",Women,ARG,Argentina,W,Silver +Sydney,2000,Hockey,Hockey,hockey,"BRENNAN, Michael",Men,AUS,Australia,M,Bronze +Sydney,2000,Hockey,Hockey,hockey,"CARRUTHERS, Lisa",Women,AUS,Australia,W,Gold +Sydney,2000,Judo,Judo,90 - 100kg (half-heavyweight),"GILL, Nicolas",Men,CAN,Canada,M,Silver +Sydney,2000,Judo,Judo,81 - 90kg (middleweight),"HUIZINGA, Mark",Men,NED,Netherlands,M,Gold +Sydney,2000,Judo,Judo,+ 78kg (heavyweight),"KIM, Seon-Young",Women,KOR,"Korea, South",W,Bronze +Sydney,2000,Judo,Judo,57 - 63kg (half-middleweight),"VANDECAVEYE, Gella",Women,BEL,Belgium,W,Bronze +Sydney,2000,Judo,Judo,73 - 81kg (half-middleweight),"TAKIMOTO, Makoto",Men,JPN,Japan,M,Gold +Sydney,2000,Judo,Judo,60 - 66kg (half-lightweight),"BENBOUDAOUD, Larbi",Men,FRA,France,M,Silver +Sydney,2000,Judo,Judo,63 - 70kg (middleweight),"VERANES, Sibelis",Women,CUB,Cuba,W,Gold +Sydney,2000,Judo,Judo,66 - 73kg (lightweight),"LARYUKOV, Anatoly",Men,BLR,Belarus,M,Bronze +Sydney,2000,Judo,Judo,52 - 57kg (lightweight),"PEKLI, Maria",Women,AUS,Australia,W,Bronze +Sydney,2000,Judo,Judo,- 48kg (extra-lightweight),"GRADANTE, Anna-Maria",Women,GER,Germany,W,Bronze +Sydney,2000,Judo,Judo,90 - 100kg (half-heavyweight),"TRAINEAU, Stephane",Men,FRA,France,M,Bronze +Sydney,2000,Judo,Judo,- 48kg (extra-lightweight),"TANI, Ryoko",Women,JPN,Japan,W,Gold +Sydney,2000,Judo,Judo,90 - 100kg (half-heavyweight),"INOUE, Kosei",Men,JPN,Japan,M,Gold +Sydney,2000,Judo,Judo,60 - 66kg (half-lightweight),"OZKAN, Huseyin",Men,TUR,Turkey,M,Gold +Sydney,2000,Judo,Judo,57 - 63kg (half-middleweight),"JUNG, Sung-Sook",Women,KOR,"Korea, South",W,Bronze +Sydney,2000,Judo,Judo,48 - 52kg (half-lightweight),"NARAZAKI, Noriko",Women,JPN,Japan,W,Silver +Sydney,2000,Judo,Judo,+ 78kg (heavyweight),"YAMASHITA, Mayumi",Women,JPN,Japan,W,Bronze +Sydney,2000,Judo,Judo,- 60 kg,"NOMURA, Tadahiro",Men,JPN,Japan,M,Gold +Sydney,2000,Judo,Judo,- 60 kg,"POULOT RAMOS, Manolo",Men,CUB,Cuba,M,Bronze +Sydney,2000,Judo,Judo,60 - 66kg (half-lightweight),"VAZAGASHVILI, Giorgi",Men,GEO,Georgia,M,Bronze +Sydney,2000,Judo,Judo,90 - 100kg (half-heavyweight),"STEPKINE, Iouri",Men,RUS,Russia,M,Bronze +Sydney,2000,Judo,Judo,66 - 73kg (lightweight),"ZELONIJS, Vsevolods",Men,LAT,Latvia,M,Bronze +Sydney,2000,Judo,Judo,- 48kg (extra-lightweight),"BROULETOVA, Lioubov",Women,RUS,Russia,W,Silver +Sydney,2000,Judo,Judo,48 - 52kg (half-lightweight),"KYE, Sun Hui",Women,PRK,"Korea, North",W,Bronze +Sydney,2000,Judo,Judo,70 - 78kg (half-heavyweight),"RICHTER, Simona Marcela",Women,ROU,Romania,W,Bronze +Sydney,2000,Judo,Judo,+ 78kg (heavyweight),"YUAN, Hua",Women,CHN,China,W,Gold +Sydney,2000,Judo,Judo,+ 78kg (heavyweight),"BELTRAN, Daima Mayelis",Women,CUB,Cuba,W,Silver +Sydney,2000,Judo,Judo,63 - 70kg (middleweight),"HOWEY, Kate",Women,GBR,United Kingdom,W,Silver +Sydney,2000,Judo,Judo,- 60 kg,"SMAGULOV, Aidyn",Men,KGZ,Kyrgyzstan,M,Bronze +Sydney,2000,Judo,Judo,+ 100kg (heavyweight),"PERTELSON, Indrek",Men,EST,Estonia,M,Bronze +Sydney,2000,Judo,Judo,+ 100kg (heavyweight),"TMENOV, Tamerlan",Men,RUS,Russia,M,Bronze +Sydney,2000,Judo,Judo,63 - 70kg (middleweight),"SCAPIN, Ylenia",Women,ITA,Italy,W,Bronze +Sydney,2000,Judo,Judo,81 - 90kg (middleweight),"HONORATO, Carlos",Men,BRA,Brazil,M,Silver +Sydney,2000,Judo,Judo,66 - 73kg (lightweight),"MADDALONI, Giuseppe",Men,ITA,Italy,M,Gold +Sydney,2000,Judo,Judo,66 - 73kg (lightweight),"CAMILO, Tiago",Men,BRA,Brazil,M,Silver +Sydney,2000,Judo,Judo,63 - 70kg (middleweight),"CHO, Min-Sun",Women,KOR,"Korea, South",W,Bronze +Sydney,2000,Judo,Judo,73 - 81kg (half-middleweight),"BUDOLIN, Aleksei",Men,EST,Estonia,M,Bronze +Sydney,2000,Judo,Judo,+ 100kg (heavyweight),"DOUILLET, David",Men,FRA,France,M,Gold +Sydney,2000,Judo,Judo,73 - 81kg (half-middleweight),"CHO, In-Chul",Men,KOR,"Korea, South",M,Silver +Sydney,2000,Judo,Judo,57 - 63kg (half-middleweight),"VANDENHENDE, Severine",Women,FRA,France,W,Gold +Sydney,2000,Judo,Judo,52 - 57kg (lightweight),"GONZALEZ, Driulys",Women,CUB,Cuba,W,Silver +Sydney,2000,Judo,Judo,52 - 57kg (lightweight),"FERNANDEZ, Isabel",Women,ESP,Spain,W,Gold +Sydney,2000,Judo,Judo,52 - 57kg (lightweight),"KUSAKABE, Kie",Women,JPN,Japan,W,Bronze +Sydney,2000,Judo,Judo,- 48kg (extra-lightweight),"SIMONS, Ann",Women,BEL,Belgium,W,Bronze +Sydney,2000,Judo,Judo,70 - 78kg (half-heavyweight),"PIERANTOZZI, Emanuela",Women,ITA,Italy,W,Bronze +Sydney,2000,Judo,Judo,48 - 52kg (half-lightweight),"LIU, Yuxiang",Women,CHN,China,W,Bronze +Sydney,2000,Judo,Judo,70 - 78kg (half-heavyweight),"TANG, Lin",Women,CHN,China,W,Gold +Sydney,2000,Judo,Judo,73 - 81kg (half-middleweight),"DELGADO, Nuno",Men,POR,Portugal,M,Bronze +Sydney,2000,Judo,Judo,81 - 90kg (middleweight),"DEMONTFAUCON, Frederic",Men,FRA,France,M,Bronze +Sydney,2000,Judo,Judo,57 - 63kg (half-middleweight),"LI, Shufang",Women,CHN,China,W,Silver +Sydney,2000,Judo,Judo,+ 100kg (heavyweight),"SHINOHARA, Shinichi",Men,JPN,Japan,M,Silver +Sydney,2000,Judo,Judo,70 - 78kg (half-heavyweight),"LEBRUN, Celine",Women,FRA,France,W,Silver +Sydney,2000,Judo,Judo,- 60 kg,"JUNG, Bu-Kyung",Men,KOR,"Korea, South",M,Silver +Sydney,2000,Judo,Judo,48 - 52kg (half-lightweight),"VERDECIA, Legna",Women,CUB,Cuba,W,Gold +Sydney,2000,Judo,Judo,60 - 66kg (half-lightweight),"GIOVINAZZO, Girolamo",Men,ITA,Italy,M,Bronze +Sydney,2000,Judo,Judo,81 - 90kg (middleweight),"MASHURENKO, Ruslan",Men,UKR,Ukraine,M,Bronze +Sydney,2000,Modern Pentathlon,Modern Pentath.,Individual competition,"COOK, Stephanie",Women,GBR,United Kingdom,W,Gold +Sydney,2000,Modern Pentathlon,Modern Pentath.,Individual competition,"ALLENBY, Kate",Women,GBR,United Kingdom,W,Bronze +Sydney,2000,Modern Pentathlon,Modern Pentath.,Individual competition,"SVATKOVSKIY, Dmitri",Men,RUS,Russia,M,Gold +Sydney,2000,Modern Pentathlon,Modern Pentath.,Individual competition,"BALOGH, Gabor",Men,HUN,Hungary,M,Silver +Sydney,2000,Modern Pentathlon,Modern Pentath.,Individual competition,"DE RIEL, Emily",Women,USA,United States,W,Silver +Sydney,2000,Modern Pentathlon,Modern Pentath.,Individual competition,"DOVGAL, Pavel",Men,BLR,Belarus,M,Bronze +Sydney,2000,Rowing,Rowing,lightweight coxless four (4-),"HOCDE, Yves",Men,FRA,France,M,Gold +Sydney,2000,Rowing,Rowing,quadruple sculls without coxswain (4x),"BATTEN, Guin",Women,GBR,United Kingdom,W,Silver +Sydney,2000,Rowing,Rowing,quadruple sculls without coxswain (4x),"VOLKERT, Stephan",Men,GER,Germany,M,Bronze +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"PENNINX, Nelleke",Women,NED,Netherlands,W,Silver +Sydney,2000,Rowing,Rowing,coxless pair (2-),"MURPHY, Edward",Men,USA,United States,M,Silver +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"WEST, Kieran",Men,GBR,United Kingdom,M,Gold +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"SUSANU, Viorica",Women,ROU,Romania,W,Gold +Sydney,2000,Rowing,Rowing,single sculls (1x),"HACKER, Marcel",Men,GER,Germany,M,Bronze +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"LUKE, Theresa",Women,CAN,Canada,W,Bronze +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"MCDERMID, Heather",Women,CAN,Canada,W,Bronze +Sydney,2000,Rowing,Rowing,pair without coxswain (2-),"KRAFT, Karen",Women,USA,United States,W,Bronze +Sydney,2000,Rowing,Rowing,double sculls (2x),"POPLAVSKAJA, Kristina",Women,LTU,Lithuania,W,Bronze +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"TRAPMORE, Steve",Men,GBR,United Kingdom,M,Gold +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"DENNIS, Simon",Men,GBR,United Kingdom,M,Gold +Sydney,2000,Rowing,Rowing,double sculls (2x),"TUFTE, Olaf",Men,NOR,Norway,M,Silver +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"ROBINSON, Emma",Women,CAN,Canada,W,Bronze +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"SKELIN, Niksa",Men,CRO,Croatia,M,Bronze +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"ATTRILL, Louis",Men,GBR,United Kingdom,M,Gold +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"GEORGESCU, Elena",Women,ROU,Romania,W,Gold +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"VAN DISHOECK, Pieta",Women,NED,Netherlands,W,Silver +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"GRUBOR, Luka",Men,GBR,United Kingdom,M,Gold +Sydney,2000,Rowing,Rowing,four without coxswain (4-),"REDGRAVE, Steven",Men,GBR,United Kingdom,M,Gold +Sydney,2000,Rowing,Rowing,quadruple sculls without coxswain (4x),"BATTEN, Miriam",Women,GBR,United Kingdom,W,Silver +Sydney,2000,Rowing,Rowing,single sculls (1x),"RUTSCHOW, Katrin",Women,GER,Germany,W,Bronze +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"COCHELEA, Veronica",Women,ROU,Romania,W,Gold +Sydney,2000,Rowing,Rowing,single sculls (1x),"NEYKOVA, Rumyana",Women,BUL,Bulgaria,W,Silver +Sydney,2000,Rowing,Rowing,coxless pair (2-),"LONG, Matthew",Men,AUS,Australia,M,Bronze +Sydney,2000,Rowing,Rowing,lightweight double sculls (2x),"LUINI, Elia",Men,ITA,Italy,M,Silver +Sydney,2000,Rowing,Rowing,double sculls (2x),"COP, Iztok",Men,SLO,Slovenia,M,Gold +Sydney,2000,Rowing,Rowing,pair without coxswain (2-),"TAYLOR, Rachael",Women,AUS,Australia,W,Silver +Sydney,2000,Rowing,Rowing,lightweight double sculls (2x),"GARNER, Sarah",Women,USA,United States,W,Bronze +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"RYAN, Christian",Men,AUS,Australia,M,Silver +Sydney,2000,Rowing,Rowing,four without coxswain (4-),"DEI ROSSI, Riccardo",Men,ITA,Italy,M,Silver +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"ANDRUNACHE, Georgeta",Women,ROU,Romania,W,Gold +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"QUIK, Martijntje",Women,NED,Netherlands,W,Silver +Sydney,2000,Rowing,Rowing,double sculls (2x),"BORON, Kathrin",Women,GER,Germany,W,Gold +Sydney,2000,Rowing,Rowing,pair without coxswain (2-),"SLATTER, Kate Elizabeth",Women,AUS,Australia,W,Silver +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"HAYMAN, Brett",Men,AUS,Australia,M,Silver +Sydney,2000,Rowing,Rowing,double sculls (2x),"SARTORI, Nicola",Men,ITA,Italy,M,Bronze +Sydney,2000,Rowing,Rowing,quadruple sculls without coxswain (4x),"ABBAGNALE, Agostino",Men,ITA,Italy,M,Gold +Sydney,2000,Rowing,Rowing,quadruple sculls without coxswain (4x),"BARTMAN, Michiel",Men,NED,Netherlands,M,Silver +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"MEIJER, Elien",Women,NED,Netherlands,W,Silver +Sydney,2000,Rowing,Rowing,lightweight double sculls (2x),"BURCICA, Constanta",Women,ROU,Romania,W,Gold +Sydney,2000,Rowing,Rowing,four without coxswain (4-),"FOSTER, Tim James",Men,GBR,United Kingdom,M,Gold +Sydney,2000,Rowing,Rowing,four without coxswain (4-),"STEWART, Geoff",Men,AUS,Australia,M,Bronze +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"DUMITRACHE, Maria Magdalena",Women,ROU,Romania,W,Gold +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"IGNAT, Doina",Women,ROU,Romania,W,Gold +Sydney,2000,Rowing,Rowing,quadruple sculls without coxswain (4x),"WILLMS, Andre",Men,GER,Germany,M,Bronze +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"SKELIN, Sinisa",Men,CRO,Croatia,M,Bronze +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"JAHRLING, Rob",Men,AUS,Australia,M,Silver +Sydney,2000,Rowing,Rowing,pair without coxswain (2-),"ANDRUNACHE, Georgeta",Women,ROU,Romania,W,Gold +Sydney,2000,Rowing,Rowing,double sculls (2x),"CALABRESE, Giovanni",Men,ITA,Italy,M,Bronze +Sydney,2000,Rowing,Rowing,quadruple sculls without coxswain (4x),"GRAINGER, Katherine",Women,GBR,United Kingdom,W,Silver +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"VAN NES, Eeke",Women,NED,Netherlands,W,Silver +Sydney,2000,Rowing,Rowing,coxless pair (2-),"TOMKINS, James",Men,AUS,Australia,M,Bronze +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"HUNT-DAVIS, Ben",Men,GBR,United Kingdom,M,Gold +Sydney,2000,Rowing,Rowing,four without coxswain (4-),"HANSON, Boden Joseph",Men,AUS,Australia,M,Bronze +Sydney,2000,Rowing,Rowing,four without coxswain (4-),"PINSENT, Matthew",Men,GBR,United Kingdom,M,Gold +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"BEEK TER, Carin",Women,NED,Netherlands,W,Silver +Sydney,2000,Rowing,Rowing,quadruple sculls without coxswain (4x),"KOWALSKI, Kerstin",Women,GER,Germany,W,Gold +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"KORN, Alison",Women,CAN,Canada,W,Bronze +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"MCKAY, Mike",Men,AUS,Australia,M,Silver +Sydney,2000,Rowing,Rowing,lightweight coxless four (4-),"FEDDERSEN, Victor",Men,DEN,Denmark,M,Bronze +Sydney,2000,Rowing,Rowing,pair without coxswain (2-),"IGNAT, Doina",Women,ROU,Romania,W,Gold +Sydney,2000,Rowing,Rowing,double sculls (2x),"VAN NES, Eeke",Women,NED,Netherlands,W,Silver +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"LIPA, Elisabeta",Women,ROU,Romania,W,Gold +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"BORASKA, Igor",Men,CRO,Croatia,M,Bronze +Sydney,2000,Rowing,Rowing,lightweight coxless four (4-),"EBERT, Thomas",Men,DEN,Denmark,M,Bronze +Sydney,2000,Rowing,Rowing,quadruple sculls without coxswain (4x),"MERK, Larisa",Women,RUS,Russia,W,Bronze +Sydney,2000,Rowing,Rowing,double sculls (2x),"VAN DISHOECK, Pieta",Women,NED,Netherlands,W,Silver +Sydney,2000,Rowing,Rowing,quadruple sculls without coxswain (4x),"LINDSAY, Gillian Anne",Women,GBR,United Kingdom,W,Silver +Sydney,2000,Rowing,Rowing,quadruple sculls without coxswain (4x),"DORODNOVA, Oxana",Women,RUS,Russia,W,Bronze +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"URBANIAK, Dorota",Women,CAN,Canada,W,Bronze +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"PETRISKO, Silvijo",Men,CRO,Croatia,M,Bronze +Sydney,2000,Rowing,Rowing,lightweight coxless four (4-),"DORFMANN, Xavier",Men,FRA,France,M,Gold +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"THOMPSON, Lesley Allison",Women,CAN,Canada,W,Bronze +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"DAVIS, Heather",Women,CAN,Canada,W,Bronze +Sydney,2000,Rowing,Rowing,lightweight double sculls (2x),"COLLINS, Christine",Women,USA,United States,W,Bronze +Sydney,2000,Rowing,Rowing,lightweight double sculls (2x),"SYCZ, Robert",Men,POL,Poland,M,Gold +Sydney,2000,Rowing,Rowing,quadruple sculls without coxswain (4x),"GEISLER, Marco",Men,GER,Germany,M,Bronze +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"BIESENTHAL, Laryssa",Women,CAN,Canada,W,Bronze +Sydney,2000,Rowing,Rowing,four without coxswain (4-),"DODWELL, Ben Philip",Men,AUS,Australia,M,Bronze +Sydney,2000,Rowing,Rowing,lightweight double sculls (2x),"PETTINARI, Leonardo",Men,ITA,Italy,M,Silver +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"FRANKOVIC, Tihomir",Men,CRO,Croatia,M,Bronze +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"FERNANDEZ, Jaime",Men,AUS,Australia,M,Silver +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"WELCH, Stuart",Men,AUS,Australia,M,Silver +Sydney,2000,Rowing,Rowing,quadruple sculls without coxswain (4x),"FEDOTOVA, Irina",Women,RUS,Russia,W,Bronze +Sydney,2000,Rowing,Rowing,quadruple sculls without coxswain (4x),"SARTORI, Alessio",Men,ITA,Italy,M,Gold +Sydney,2000,Rowing,Rowing,single sculls (1x),"WADDELL, Rob",Men,NZL,New Zealand,M,Gold +Sydney,2000,Rowing,Rowing,lightweight coxless four (4-),"BETTE, Jean-Christophe",Men,FRA,France,M,Gold +Sydney,2000,Rowing,Rowing,quadruple sculls without coxswain (4x),"GALTAROSSA, Rossano",Men,ITA,Italy,M,Gold +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"VUJEVIC, Branimir",Men,CRO,Croatia,M,Bronze +Sydney,2000,Rowing,Rowing,lightweight double sculls (2x),"KUCHARSKI, Tomasz",Men,POL,Poland,M,Gold +Sydney,2000,Rowing,Rowing,single sculls (1x),"KARSTEN, Ekaterina",Women,BLR,Belarus,W,Gold +Sydney,2000,Rowing,Rowing,lightweight coxless four (4-),"EBBESEN, Eskild Balschmidt",Men,DEN,Denmark,M,Bronze +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"OLTEANU, Ioana",Women,ROU,Romania,W,Gold +Sydney,2000,Rowing,Rowing,lightweight coxless four (4-),"EDWARDS, Anthony",Men,AUS,Australia,M,Silver +Sydney,2000,Rowing,Rowing,double sculls (2x),"THIEME, Jana",Women,GER,Germany,W,Gold +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"FRANCETIC, Igor",Men,CRO,Croatia,M,Bronze +Sydney,2000,Rowing,Rowing,double sculls (2x),"SAKICKIENE, Birute",Women,LTU,Lithuania,W,Bronze +Sydney,2000,Rowing,Rowing,lightweight double sculls (2x),"CHAPELLE, Thibaud",Men,FRA,France,M,Bronze +Sydney,2000,Rowing,Rowing,four without coxswain (4-),"MOLEA, Walter",Men,ITA,Italy,M,Silver +Sydney,2000,Rowing,Rowing,lightweight double sculls (2x),"BLASBERG, Claudia",Women,GER,Germany,W,Silver +Sydney,2000,Rowing,Rowing,coxless pair (2-),"ROLLAND, Jean Christophe",Men,FRA,France,M,Gold +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"BURKE, Daniel",Men,AUS,Australia,M,Silver +Sydney,2000,Rowing,Rowing,lightweight double sculls (2x),"ALUPEI, Angela",Women,ROU,Romania,W,Gold +Sydney,2000,Rowing,Rowing,four without coxswain (4-),"MORNATI, Carlo",Men,ITA,Italy,M,Silver +Sydney,2000,Rowing,Rowing,quadruple sculls without coxswain (4x),"VERBERNE, Jochem",Men,NED,Netherlands,M,Silver +Sydney,2000,Rowing,Rowing,lightweight double sculls (2x),"VIEHOFF, Valerie",Women,GER,Germany,W,Silver +Sydney,2000,Rowing,Rowing,coxless pair (2-),"ANDRIEUX, Michel",Men,FRA,France,M,Gold +Sydney,2000,Rowing,Rowing,four without coxswain (4-),"CARBONCINI, Lorenzo",Men,ITA,Italy,M,Silver +Sydney,2000,Rowing,Rowing,lightweight coxless four (4-),"BURGESS, Simon",Men,AUS,Australia,M,Silver +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"DOUGLAS, Rowley",Men,GBR,United Kingdom,M,Gold +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"APPELDOORN, Tessa",Women,NED,Netherlands,W,Silver +Sydney,2000,Rowing,Rowing,quadruple sculls without coxswain (4x),"KOWALSKI, Manja",Women,GER,Germany,W,Gold +Sydney,2000,Rowing,Rowing,four without coxswain (4-),"STEWART, James",Men,AUS,Australia,M,Bronze +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"PORZIG, Nicholas",Men,AUS,Australia,M,Silver +Sydney,2000,Rowing,Rowing,quadruple sculls without coxswain (4x),"SIMON, Diederik",Men,NED,Netherlands,M,Silver +Sydney,2000,Rowing,Rowing,single sculls (1x),"MUELLER, Xeno",Men,SUI,Switzerland,M,Silver +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"VENEMA, Anneke",Women,NED,Netherlands,W,Silver +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"CULJAK, Kresimir",Men,CRO,Croatia,M,Bronze +Sydney,2000,Rowing,Rowing,lightweight coxless four (4-),"RICHARDS, Robert",Men,AUS,Australia,M,Silver +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"SMOLJANOVIC, Tomislav",Men,CRO,Croatia,M,Bronze +Sydney,2000,Rowing,Rowing,quadruple sculls without coxswain (4x),"RAINERI, Simone",Men,ITA,Italy,M,Gold +Sydney,2000,Rowing,Rowing,double sculls (2x),"BEKKEN, Fredrik",Men,NOR,Norway,M,Silver +Sydney,2000,Rowing,Rowing,lightweight coxless four (4-),"PORCHIER, Laurent",Men,FRA,France,M,Gold +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"GORDON, Alastair",Men,AUS,Australia,M,Silver +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"SCARLETT, Fred",Men,GBR,United Kingdom,M,Gold +Sydney,2000,Rowing,Rowing,coxless pair (2-),"BEA, Sebastian",Men,USA,United States,M,Silver +Sydney,2000,Rowing,Rowing,lightweight coxless four (4-),"BALMFORTH, Darren",Men,AUS,Australia,M,Silver +Sydney,2000,Rowing,Rowing,quadruple sculls without coxswain (4x),"EVERS, Meike",Women,GER,Germany,W,Gold +Sydney,2000,Rowing,Rowing,quadruple sculls without coxswain (4x),"LUTZE, Manuela",Women,GER,Germany,W,Gold +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"ALEXANDER, Buffy",Women,CAN,Canada,W,Bronze +Sydney,2000,Rowing,Rowing,double sculls (2x),"SPIK, Luka",Men,SLO,Slovenia,M,Gold +Sydney,2000,Rowing,Rowing,lightweight coxless four (4-),"MADSEN, Soren",Men,DEN,Denmark,M,Bronze +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"GAFENCU, Liliana",Women,ROU,Romania,W,Gold +Sydney,2000,Rowing,Rowing,lightweight double sculls (2x),"TOURON, Pascal",Men,FRA,France,M,Bronze +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"LINDSAY, Andrew",Men,GBR,United Kingdom,M,Gold +Sydney,2000,Rowing,Rowing,four without coxswain (4-),"CRACKNELL, James",Men,GBR,United Kingdom,M,Gold +Sydney,2000,Rowing,Rowing,quadruple sculls without coxswain (4x),"LEVINA, Yulia",Women,RUS,Russia,W,Bronze +Sydney,2000,Rowing,Rowing,eight with coxswain (8+),"WESTERHOF, Marieke",Women,NED,Netherlands,W,Silver +Sydney,2000,Rowing,Rowing,quadruple sculls without coxswain (4x),"HAJEK, Andreas",Men,GER,Germany,M,Bronze +Sydney,2000,Rowing,Rowing,quadruple sculls without coxswain (4x),"LIPPITS, Dirk",Men,NED,Netherlands,M,Silver +Sydney,2000,Rowing,Rowing,pair without coxswain (2-),"RYAN, Melissa",Women,USA,United States,W,Bronze +Sydney,2000,Sailing,Sailing,two-person keelboat open (Star),"FERREIRA, Marcelo",Men,BRA,Brazil,X,Bronze +Sydney,2000,Sailing,Sailing,Tornado - Multihull,"BUNDOCK, Darren",Men,AUS,Australia,X,Silver +Sydney,2000,Sailing,Sailing,two-person keelboat open (Star),"GRAEL, Torben",Men,BRA,Brazil,X,Bronze +Sydney,2000,Sailing,Sailing,fleet/match race keelboat open (Soling),"BLAKSKJAER, Henrik",Men,DEN,Denmark,X,Gold +Sydney,2000,Sailing,Sailing,470 - Two Person Dinghy,"PAKHOLCHIK, Olena",Women,UKR,Ukraine,W,Bronze +Sydney,2000,Sailing,Sailing,Tornado - Multihull,"SCHWALL, Rene",Men,GER,Germany,X,Bronze +Sydney,2000,Sailing,Sailing,49er - Skiff,"JARVI, Jyrki",Men,FIN,Finland,X,Gold +Sydney,2000,Sailing,Sailing,board (Mistral),"MCINTOSH, Aaron",Men,NZL,New Zealand,M,Bronze +Sydney,2000,Sailing,Sailing,two-person keelboat open (Star),"LILJEDAHL, Magnus",Men,USA,United States,X,Gold +Sydney,2000,Sailing,Sailing,single-handed dinghy open (Laser),"BLACKBURN, Michael",Men,AUS,Australia,X,Bronze +Sydney,2000,Sailing,Sailing,two-person keelboat open (Star),"REYNOLDS, Mark Jeffrey",Men,USA,United States,X,Gold +Sydney,2000,Sailing,Sailing,Tornado - Multihull,"STEINACHER, Hans Peter",Men,AUT,Austria,X,Gold +Sydney,2000,Sailing,Sailing,fleet/match race keelboat open (Soling),"BANK, Jesper",Men,DEN,Denmark,X,Gold +Sydney,2000,Sailing,Sailing,470 - Two Person Dinghy,"KING, Tom",Men,AUS,Australia,M,Gold +Sydney,2000,Sailing,Sailing,two-person keelboat open (Star),"WALKER, Ian",Men,GBR,United Kingdom,X,Silver +Sydney,2000,Sailing,Sailing,board (Mistral),"LUX, Amelie",Women,GER,Germany,W,Silver +Sydney,2000,Sailing,Sailing,470 - Two Person Dinghy,"TURNBULL, Mark",Men,AUS,Australia,M,Gold +Sydney,2000,Sailing,Sailing,Tornado - Multihull,"GAEBLER, Roland",Men,GER,Germany,X,Bronze +Sydney,2000,Sailing,Sailing,fleet/match race keelboat open (Soling),"SCHÜMANN, Jochen",Men,GER,Germany,X,Silver +Sydney,2000,Sailing,Sailing,49er - Skiff,"MCKEE, Charles",Men,USA,United States,X,Bronze +Sydney,2000,Sailing,Sailing,board (Mistral),"KENDALL, Barbara",Women,NZL,New Zealand,W,Bronze +Sydney,2000,Sailing,Sailing,Tornado - Multihull,"FORBES, John",Men,AUS,Australia,X,Silver +Sydney,2000,Sailing,Sailing,fleet/match race keelboat open (Soling),"JOHANNESSEN, Herman Horn",Men,NOR,Norway,X,Bronze +Sydney,2000,Sailing,Sailing,single-handed dinghy open (Laser),"AINSLIE, Ben",Men,GBR,United Kingdom,X,Gold +Sydney,2000,Sailing,Sailing,single-handed dinghy open (Laser),"SCHEIDT, Robert",Men,BRA,Brazil,X,Silver +Sydney,2000,Sailing,Sailing,49er - Skiff,"HISCOCKS, Simon",Men,GBR,United Kingdom,X,Silver +Sydney,2000,Sailing,Sailing,470 - Two Person Dinghy,"STOWELL, Belinda",Women,AUS,Australia,W,Gold +Sydney,2000,Sailing,Sailing,470 - Two Person Dinghy,"DE LA FUENTE, Juan",Men,ARG,Argentina,M,Bronze +Sydney,2000,Sailing,Sailing,49er - Skiff,"BARKER, Ian",Men,GBR,United Kingdom,X,Silver +Sydney,2000,Sailing,Sailing,board (Mistral),"SENSINI, Alessandra",Women,ITA,Italy,W,Gold +Sydney,2000,Sailing,Sailing,fleet/match race keelboat open (Soling),"DAVIS, Paul",Men,NOR,Norway,X,Bronze +Sydney,2000,Sailing,Sailing,470 - Two Person Dinghy,"GLASER, Sarah",Women,USA,United States,W,Silver +Sydney,2000,Sailing,Sailing,49er - Skiff,"JOHANSON, Thomas",Men,FIN,Finland,X,Gold +Sydney,2000,Sailing,Sailing,470 - Two Person Dinghy,"TARAN, Ruslana",Women,UKR,Ukraine,W,Bronze +Sydney,2000,Sailing,Sailing,single-handed dinghy (Europe),"MATTHIJSSE, Margriet",Women,NED,Netherlands,W,Silver +Sydney,2000,Sailing,Sailing,Tornado - Multihull,"HAGARA, Roman",Men,AUT,Austria,X,Gold +Sydney,2000,Sailing,Sailing,two-person keelboat open (Star),"COVELL, Mark",Men,GBR,United Kingdom,X,Silver +Sydney,2000,Sailing,Sailing,fleet/match race keelboat open (Soling),"STOKKELAND, Espen",Men,NOR,Norway,X,Bronze +Sydney,2000,Sailing,Sailing,single-handed dinghy (Finn),"LOOF, Fredrik",Men,SWE,Sweden,M,Bronze +Sydney,2000,Sailing,Sailing,470 - Two Person Dinghy,"CONTE, Javier",Men,ARG,Argentina,M,Bronze +Sydney,2000,Sailing,Sailing,board (Mistral),"SIEBER, Christoph",Men,AUT,Austria,M,Gold +Sydney,2000,Sailing,Sailing,fleet/match race keelboat open (Soling),"BAHR, Gunnar",Men,GER,Germany,X,Silver +Sydney,2000,Sailing,Sailing,49er - Skiff,"MCKEE, Jonathan Dunn",Men,USA,United States,X,Bronze +Sydney,2000,Sailing,Sailing,single-handed dinghy (Europe),"ROBERTSON, Shirley",Women,GBR,United Kingdom,W,Gold +Sydney,2000,Sailing,Sailing,fleet/match race keelboat open (Soling),"JACOBSEN, Thomas",Men,DEN,Denmark,X,Gold +Sydney,2000,Sailing,Sailing,470 - Two Person Dinghy,"ARMSTRONG, Jenny",Women,AUS,Australia,W,Gold +Sydney,2000,Sailing,Sailing,single-handed dinghy (Europe),"AMATO, Serena",Women,ARG,Argentina,W,Bronze +Sydney,2000,Sailing,Sailing,board (Mistral),"ESPINOLA, Carlos",Men,ARG,Argentina,M,Silver +Sydney,2000,Sailing,Sailing,470 - Two Person Dinghy,"FOERSTER, Paul",Men,USA,United States,M,Silver +Sydney,2000,Sailing,Sailing,470 - Two Person Dinghy,"ISLER, Jennifer",Women,USA,United States,W,Silver +Sydney,2000,Sailing,Sailing,single-handed dinghy (Finn),"DEVOTI, Luca",Men,ITA,Italy,M,Silver +Sydney,2000,Sailing,Sailing,single-handed dinghy (Finn),"PERCY, Iain",Men,GBR,United Kingdom,M,Gold +Sydney,2000,Sailing,Sailing,fleet/match race keelboat open (Soling),"BORKOWSKI, Ingo",Men,GER,Germany,X,Silver +Sydney,2000,Sailing,Sailing,470 - Two Person Dinghy,"MERRICK, Robert",Men,USA,United States,M,Silver +Sydney,2000,Shooting,Shooting,double trap (120 targets),"HANSEN, Pia",Women,SWE,Sweden,W,Gold +Sydney,2000,Shooting,Shooting,25m pistol (30+30 shots),"TAO, Luna",Women,CHN,China,W,Silver +Sydney,2000,Shooting,Shooting,trap (125 targets),"PELLIELO, Giovanni",Men,ITA,Italy,M,Bronze +Sydney,2000,Shooting,Shooting,50m rifle 3 positions (3x20 shots),"FEKLISTOVA, Maria",Women,RUS,Russia,W,Bronze +Sydney,2000,Shooting,Shooting,10m air pistol (40 shots),"SEKARIC, Jasna",Women,YUG,Yugoslavia,W,Silver +Sydney,2000,Shooting,Shooting,10m air rifle (60 shots),"ALEINIKOV, Evgeni",Men,RUS,Russia,M,Bronze +Sydney,2000,Shooting,Shooting,25m pistol (30+30 shots),"EVGLEVSKAYA, Lolita",Women,BLR,Belarus,W,Bronze +Sydney,2000,Shooting,Shooting,25m pistol (30+30 shots),"GROZDEVA, Maria",Women,BUL,Bulgaria,W,Gold +Sydney,2000,Shooting,Shooting,50m rifle 3 positions (3x40 shots),"STENVAAG, Harald",Men,NOR,Norway,M,Bronze +Sydney,2000,Shooting,Shooting,25m rapid fire pistol (60 shots),"ALIFIRENKO, Sergei",Men,RUS,Russia,M,Gold +Sydney,2000,Shooting,Shooting,25m rapid fire pistol (60 shots),"ANSERMET, Michel",Men,SUI,Switzerland,M,Silver +Sydney,2000,Shooting,Shooting,10m air rifle (40 shots),"KANG, Cho-Hyun",Women,KOR,"Korea, South",W,Silver +Sydney,2000,Shooting,Shooting,10m air pistol (60 shots),"DUMOULIN, Franck",Men,FRA,France,M,Gold +Sydney,2000,Shooting,Shooting,10m air rifle (40 shots),"JOHNSON, Nancy",Women,USA,United States,W,Gold +Sydney,2000,Shooting,Shooting,10m running target (30+30 shots),"NIU, Zhiyuan",Men,CHN,China,M,Bronze +Sydney,2000,Shooting,Shooting,double trap (150 targets),"ALDEEHANI, Fehaid",Men,KUW,Kuwait,M,Bronze +Sydney,2000,Shooting,Shooting,trap (125 targets),"DIAMOND, Michael",Men,AUS,Australia,M,Gold +Sydney,2000,Shooting,Shooting,trap (75 targets),"GAO, E",Women,CHN,China,W,Bronze +Sydney,2000,Shooting,Shooting,50m rifle 3 positions (3x40 shots),"DEBEVEC, Rajmond",Men,SLO,Slovenia,M,Gold +Sydney,2000,Shooting,Shooting,50m rifle 3 positions (3x20 shots),"MAUER, Renata",Women,POL,Poland,W,Gold +Sydney,2000,Shooting,Shooting,50m rifle prone (60 shots),"MARTYNOV, Sergei",Men,BLR,Belarus,M,Bronze +Sydney,2000,Shooting,Shooting,10m running target (30+30 shots),"MOLDOVAN, Oleg",Men,MDA,Moldova,M,Silver +Sydney,2000,Shooting,Shooting,10m air rifle (60 shots),"CAI, Yalin",Men,CHN,China,M,Gold +Sydney,2000,Shooting,Shooting,10m air pistol (60 shots),"WANG, Yifu",Men,CHN,China,M,Silver +Sydney,2000,Shooting,Shooting,skeet (125 targets),"GRAVES, James",Men,USA,United States,M,Bronze +Sydney,2000,Shooting,Shooting,trap (75 targets),"GUDZINEVICIUTE, Daina",Women,LTU,Lithuania,W,Gold +Sydney,2000,Shooting,Shooting,double trap (150 targets),"FAULDS, Richard",Men,GBR,United Kingdom,M,Gold +Sydney,2000,Shooting,Shooting,50m pistol (60 shots),"BASINSKI, Igor",Men,BLR,Belarus,M,Silver +Sydney,2000,Shooting,Shooting,10m air rifle (40 shots),"GAO, Jing",Women,CHN,China,W,Bronze +Sydney,2000,Shooting,Shooting,10m air rifle (60 shots),"KHADJIBEKOV, Artem",Men,RUS,Russia,M,Silver +Sydney,2000,Shooting,Shooting,trap (75 targets),"RACINET, Delphine",Women,FRA,France,W,Silver +Sydney,2000,Shooting,Shooting,skeet (75 targets),"IGALY, Diana",Women,HUN,Hungary,W,Bronze +Sydney,2000,Shooting,Shooting,10m running target (30+30 shots),"YANG, Ling",Men,CHN,China,M,Gold +Sydney,2000,Shooting,Shooting,50m pistol (60 shots),"TENK, Martin",Men,CZE,Czech Republic,M,Bronze +Sydney,2000,Shooting,Shooting,trap (125 targets),"PEEL, Ian",Men,GBR,United Kingdom,M,Silver +Sydney,2000,Shooting,Shooting,10m air pistol (40 shots),"TAO, Luna",Women,CHN,China,W,Gold +Sydney,2000,Shooting,Shooting,10m air pistol (40 shots),"FORDER, Annemarie",Women,AUS,Australia,W,Bronze +Sydney,2000,Shooting,Shooting,50m pistol (60 shots),"KIRIAKOV, Tanyu",Men,BUL,Bulgaria,M,Gold +Sydney,2000,Shooting,Shooting,double trap (150 targets),"MARK, Russell",Men,AUS,Australia,M,Silver +Sydney,2000,Shooting,Shooting,skeet (125 targets),"MILCHEV, Mykola",Men,UKR,Ukraine,M,Gold +Sydney,2000,Shooting,Shooting,10m air pistol (60 shots),"BASINSKI, Igor",Men,BLR,Belarus,M,Bronze +Sydney,2000,Shooting,Shooting,50m rifle prone (60 shots),"EDMAN, Jonas",Men,SWE,Sweden,M,Gold +Sydney,2000,Shooting,Shooting,skeet (75 targets),"MEFTAKHETDINOVA, Zemfira",Women,AZE,Azerbaijan,W,Gold +Sydney,2000,Shooting,Shooting,50m rifle 3 positions (3x40 shots),"HIRVI, Juha",Men,FIN,Finland,M,Silver +Sydney,2000,Shooting,Shooting,skeet (125 targets),"MALEK, Petr",Men,CZE,Czech Republic,M,Silver +Sydney,2000,Shooting,Shooting,25m rapid fire pistol (60 shots),"RAICEA, Iulian",Men,ROU,Romania,M,Bronze +Sydney,2000,Shooting,Shooting,50m rifle prone (60 shots),"GRIMMEL, Torben",Men,DEN,Denmark,M,Silver +Sydney,2000,Shooting,Shooting,skeet (75 targets),"DEMINA, Svetlana",Women,RUS,Russia,W,Silver +Sydney,2000,Shooting,Shooting,double trap (120 targets),"GELISIO, Deborah",Women,ITA,Italy,W,Silver +Sydney,2000,Shooting,Shooting,double trap (120 targets),"RHODE, Kimberly",Women,USA,United States,W,Bronze +Sydney,2000,Shooting,Shooting,50m rifle 3 positions (3x20 shots),"GOLDOBINA, Tatiana",Women,RUS,Russia,W,Silver +Sydney,2000,Softball,Softball,softball,"YAMAJI, Noriko",Women,JPN,Japan,W,Silver +Sydney,2000,Softball,Softball,softball,"MASUBUCHI, Mariko",Women,JPN,Japan,W,Silver +Sydney,2000,Softball,Softball,softball,"HARDING, Tanya",Women,AUS,Australia,W,Bronze +Sydney,2000,Softball,Softball,softball,"TAMOTO, Hiroko",Women,JPN,Japan,W,Silver +Sydney,2000,Softball,Softball,softball,"O'BRIEN, Leah",Women,USA,United States,W,Gold +Sydney,2000,Softball,Softball,softball,"KOBAYASHI, Yoshimi",Women,JPN,Japan,W,Silver +Sydney,2000,Softball,Softball,softball,"ALLEN, Sandra",Women,AUS,Australia,W,Bronze +Sydney,2000,Softball,Softball,softball,"WARD, Natalie",Women,AUS,Australia,W,Bronze +Sydney,2000,Softball,Softball,softball,"BUSTOS, Crystl",Women,USA,United States,W,Gold +Sydney,2000,Softball,Softball,softball,"MATSUMOTO, Naomi",Women,JPN,Japan,W,Silver +Sydney,2000,Softball,Softball,softball,"ROCHE, Melanie",Women,AUS,Australia,W,Bronze +Sydney,2000,Softball,Softball,softball,"FUJII, Yumiko",Women,JPN,Japan,W,Silver +Sydney,2000,Softball,Softball,softball,"YAMADA, Miyo",Women,JPN,Japan,W,Silver +Sydney,2000,Softball,Softball,softball,"EDEBONE, Peta",Women,AUS,Australia,W,Bronze +Sydney,2000,Softball,Softball,softball,"ISHIKAWA, Taeko",Women,JPN,Japan,W,Silver +Sydney,2000,Softball,Softball,softball,"MCDERMID, Sally",Women,AUS,Australia,W,Bronze +Sydney,2000,Softball,Softball,softball,"WILKINS, Brooke",Women,AUS,Australia,W,Bronze +Sydney,2000,Softball,Softball,softball,"BERG, Laura",Women,USA,United States,W,Gold +Sydney,2000,Softball,Softball,softball,"FOLLAS, Selina",Women,AUS,Australia,W,Bronze +Sydney,2000,Softball,Softball,softball,"MORROW, Simmone",Women,AUS,Australia,W,Bronze +Sydney,2000,Softball,Softball,softball,"SMITH, Michele",Women,USA,United States,W,Gold +Sydney,2000,Softball,Softball,softball,"NAITO, Emi",Women,JPN,Japan,W,Silver +Sydney,2000,Softball,Softball,softball,"HENDERSON, Danielle",Women,USA,United States,W,Gold +Sydney,2000,Softball,Softball,softball,"NUVEMAN, Stacey",Women,USA,United States,W,Gold +Sydney,2000,Softball,Softball,softball,"FERNANDEZ, Lisa",Women,USA,United States,W,Gold +Sydney,2000,Softball,Softball,softball,"TAKAYAMA, Juri",Women,JPN,Japan,W,Silver +Sydney,2000,Softball,Softball,softball,"KOSEKI, Shiori",Women,JPN,Japan,W,Silver +Sydney,2000,Softball,Softball,softball,"DIENELT, Kerry",Women,AUS,Australia,W,Bronze +Sydney,2000,Softball,Softball,softball,"AMBROSI, Christie",Women,USA,United States,W,Gold +Sydney,2000,Softball,Softball,softball,"CORNELL, Sheila",Women,USA,United States,W,Gold +Sydney,2000,Softball,Softball,softball,"SAITO, Haruka",Women,JPN,Japan,W,Silver +Sydney,2000,Softball,Softball,softball,"ITO, Kazue",Women,JPN,Japan,W,Silver +Sydney,2000,Softball,Softball,softball,"TITCUME, Natalie",Women,AUS,Australia,W,Bronze +Sydney,2000,Softball,Softball,softball,"VENTURELLA, Michelle",Women,USA,United States,W,Gold +Sydney,2000,Softball,Softball,softball,"RICHARDSON, Dorothy",Women,USA,United States,W,Gold +Sydney,2000,Softball,Softball,softball,"HARDIE, Kelly",Women,AUS,Australia,W,Bronze +Sydney,2000,Softball,Softball,softball,"ANDO, Misako",Women,JPN,Japan,W,Silver +Sydney,2000,Softball,Softball,softball,"HARRIGAN, Lori",Women,USA,United States,W,Gold +Sydney,2000,Softball,Softball,softball,"FAIRHURST, Sue",Women,AUS,Australia,W,Bronze +Sydney,2000,Softball,Softball,softball,"BROWN, Joanne",Women,AUS,Australia,W,Bronze +Sydney,2000,Softball,Softball,softball,"BRUNDAGE, Jennifer",Women,USA,United States,W,Gold +Sydney,2000,Softball,Softball,softball,"WILLIAMS, Christa Lee",Women,USA,United States,W,Gold +Sydney,2000,Softball,Softball,softball,"MCFALLS, Jennifer",Women,USA,United States,W,Gold +Sydney,2000,Softball,Softball,softball,"HANES, Fiona",Women,AUS,Australia,W,Bronze +Sydney,2000,Softball,Softball,softball,"UTSUGI, Reika",Women,JPN,Japan,W,Silver +Sydney,2000,Table Tennis,Table Tennis,doubles,"LIU, Guoliang",Men,CHN,China,M,Silver +Sydney,2000,Table Tennis,Table Tennis,singles,"KONG, Linghui",Men,CHN,China,M,Gold +Sydney,2000,Table Tennis,Table Tennis,doubles,"YAN, Sen",Men,CHN,China,M,Gold +Sydney,2000,Table Tennis,Table Tennis,doubles,"GATIEN, Jean-Philippe",Men,FRA,France,M,Bronze +Sydney,2000,Table Tennis,Table Tennis,doubles,"RYU, Ji-Hye",Women,KOR,"Korea, South",W,Bronze +Sydney,2000,Table Tennis,Table Tennis,singles,"WANG, Nan",Women,CHN,China,W,Gold +Sydney,2000,Table Tennis,Table Tennis,doubles,"SUN, Jin",Women,CHN,China,W,Silver +Sydney,2000,Table Tennis,Table Tennis,doubles,"LI, Ju",Women,CHN,China,W,Gold +Sydney,2000,Table Tennis,Table Tennis,doubles,"KONG, Linghui",Men,CHN,China,M,Silver +Sydney,2000,Table Tennis,Table Tennis,singles,"CHEN, Jing",Women,TPE,Taiwan,W,Bronze +Sydney,2000,Table Tennis,Table Tennis,singles,"LI, Ju",Women,CHN,China,W,Silver +Sydney,2000,Table Tennis,Table Tennis,singles,"WALDNER, Jan-Ove",Men,SWE,Sweden,M,Silver +Sydney,2000,Table Tennis,Table Tennis,doubles,"KIM, Moo-Kyo",Women,KOR,"Korea, South",W,Bronze +Sydney,2000,Table Tennis,Table Tennis,singles,"LIU, Guoliang",Men,CHN,China,M,Bronze +Sydney,2000,Table Tennis,Table Tennis,doubles,"CHILA, Patrick Antoine Edouard",Men,FRA,France,M,Bronze +Sydney,2000,Table Tennis,Table Tennis,doubles,"YANG, Ying",Women,CHN,China,W,Silver +Sydney,2000,Table Tennis,Table Tennis,doubles,"WANG, Liqin",Men,CHN,China,M,Gold +Sydney,2000,Table Tennis,Table Tennis,doubles,"WANG, Nan",Women,CHN,China,W,Gold +Sydney,2000,Taekwondo,Taekwondo,58 - 68 kg,"SIN, Joon-Sik",Men,KOR,"Korea, South",M,Silver +Sydney,2000,Taekwondo,Taekwondo,+ 67 kg,"BOSSHART, Dominique",Women,CAN,Canada,W,Bronze +Sydney,2000,Taekwondo,Taekwondo,+ 80 kg,"TRENTON, Daniel",Men,AUS,Australia,M,Silver +Sydney,2000,Taekwondo,Taekwondo,57 - 67 kg,"LEE, Sun-Hee",Women,KOR,"Korea, South",W,Gold +Sydney,2000,Taekwondo,Taekwondo,- 49 kg,"CHI, Shu-Ju",Women,TPE,Taiwan,W,Bronze +Sydney,2000,Taekwondo,Taekwondo,- 49 kg,"MELENDEZ RODRIGUEZ, Urbia",Women,CUB,Cuba,W,Silver +Sydney,2000,Taekwondo,Taekwondo,+ 67 kg,"CHEN, Zhong",Women,CHN,China,W,Gold +Sydney,2000,Taekwondo,Taekwondo,- 49 kg,"BURNS, Lauren",Women,AUS,Australia,W,Gold +Sydney,2000,Taekwondo,Taekwondo,57 - 67 kg,"OKAMOTO, Yoriko",Women,JPN,Japan,W,Bronze +Sydney,2000,Taekwondo,Taekwondo,68 - 80 kg,"ESTRADA GARIBAY, Victor Manuel",Men,MEX,Mexico,M,Bronze +Sydney,2000,Taekwondo,Taekwondo,58 - 68 kg,"LOPEZ, Steven",Men,USA,United States,M,Gold +Sydney,2000,Taekwondo,Taekwondo,49 - 57 kg,"BIKCIN, Hamide",Women,TUR,Turkey,W,Bronze +Sydney,2000,Taekwondo,Taekwondo,- 58 kg,"ESPARZA, Gabriel",Men,ESP,Spain,M,Silver +Sydney,2000,Taekwondo,Taekwondo,49 - 57 kg,"TRAN, Hieu Ngan",Women,VIE,Vietnam,W,Silver +Sydney,2000,Taekwondo,Taekwondo,+ 80 kg,"GENTIL, Pascal",Men,FRA,France,M,Bronze +Sydney,2000,Taekwondo,Taekwondo,- 58 kg,"HUANG, Chih Hsiung",Men,TPE,Taiwan,M,Bronze +Sydney,2000,Taekwondo,Taekwondo,68 - 80 kg,"MATOS, Angel Valodia",Men,CUB,Cuba,M,Gold +Sydney,2000,Taekwondo,Taekwondo,+ 80 kg,"KIM, Kyong-Hun",Men,KOR,"Korea, South",M,Gold +Sydney,2000,Taekwondo,Taekwondo,68 - 80 kg,"EBNOUTALIB, Faissal",Men,GER,Germany,M,Silver +Sydney,2000,Taekwondo,Taekwondo,57 - 67 kg,"GUNDERSEN, Trude",Women,NOR,Norway,W,Silver +Sydney,2000,Taekwondo,Taekwondo,49 - 57 kg,"JUNG, Jae-Eun",Women,KOR,"Korea, South",W,Gold +Sydney,2000,Taekwondo,Taekwondo,+ 67 kg,"IVANOVA, Natalia",Women,RUS,Russia,W,Silver +Sydney,2000,Taekwondo,Taekwondo,- 58 kg,"MOUROUTSOS, Michail",Men,GRE,Greece,M,Gold +Sydney,2000,Taekwondo,Taekwondo,58 - 68 kg,"SAEI, Hadi",Men,IRI,Iran,M,Bronze +Sydney,2000,Tennis,Tennis,singles,"DEMENTIEVA, Elena",Women,RUS,Russia,W,Silver +Sydney,2000,Tennis,Tennis,doubles,"VAN ROOST, Dominique",Women,BEL,Belgium,W,Bronze +Sydney,2000,Tennis,Tennis,doubles,"WOODBRIDGE, Todd",Men,AUS,Australia,M,Silver +Sydney,2000,Tennis,Tennis,doubles,"CALLENS, Els",Women,BEL,Belgium,W,Bronze +Sydney,2000,Tennis,Tennis,doubles,"COSTA, Alberto",Men,ESP,Spain,M,Bronze +Sydney,2000,Tennis,Tennis,singles,"WILLIAMS, Venus",Women,USA,United States,W,Gold +Sydney,2000,Tennis,Tennis,singles,"DI PASQUALE, Arnaud",Men,FRA,France,M,Bronze +Sydney,2000,Tennis,Tennis,doubles,"CORRETJA, Alex",Men,ESP,Spain,M,Bronze +Sydney,2000,Tennis,Tennis,singles,"HAAS, Tommy",Men,GER,Germany,M,Silver +Sydney,2000,Tennis,Tennis,doubles,"NESTOR, Daniel",Men,CAN,Canada,M,Gold +Sydney,2000,Tennis,Tennis,singles,"KAFELNIKOV, Eugueni",Men,RUS,Russia,M,Gold +Sydney,2000,Tennis,Tennis,doubles,"LAREAU, Sebastien",Men,CAN,Canada,M,Gold +Sydney,2000,Tennis,Tennis,singles,"SELES, Monica",Women,USA,United States,W,Bronze +Sydney,2000,Tennis,Tennis,doubles,"WILLIAMS, Serena",Women,USA,United States,W,Gold +Sydney,2000,Tennis,Tennis,doubles,"WOODFORDE, Mark",Men,AUS,Australia,M,Silver +Sydney,2000,Tennis,Tennis,doubles,"BOOGERT, Kristie",Women,NED,Netherlands,W,Silver +Sydney,2000,Tennis,Tennis,doubles,"OREMANS, Miriam",Women,NED,Netherlands,W,Silver +Sydney,2000,Tennis,Tennis,doubles,"WILLIAMS, Venus",Women,USA,United States,W,Gold +Sydney,2000,Triathlon,Triathlon,Individual,"VUCKOVIC, Stephan",Men,GER,Germany,M,Silver +Sydney,2000,Triathlon,Triathlon,Individual,"REHULA, Jan",Men,CZE,Czech Republic,M,Bronze +Sydney,2000,Triathlon,Triathlon,Individual,"MESSMER, Magali",Women,SUI,Switzerland,W,Bronze +Sydney,2000,Triathlon,Triathlon,Individual,"JONES, Michellie",Women,AUS,Australia,W,Silver +Sydney,2000,Triathlon,Triathlon,Individual,"MCMAHON, Brigitte",Women,SUI,Switzerland,W,Gold +Sydney,2000,Triathlon,Triathlon,Individual,"WHITFIELD, Simon",Men,CAN,Canada,M,Gold +Sydney,2000,Volleyball,Beach volley.,beach volleyball,"BEHAR, Adriana",Women,BRA,Brazil,W,Silver +Sydney,2000,Volleyball,Beach volley.,beach volleyball,"SANTOS, Ricardo",Men,BRA,Brazil,M,Silver +Sydney,2000,Volleyball,Beach volley.,beach volleyball,"SAMUEL RAMOS, Adriana",Women,BRA,Brazil,W,Bronze +Sydney,2000,Volleyball,Beach volley.,beach volleyball,"BLANTON, Dain",Men,USA,United States,M,Gold +Sydney,2000,Volleyball,Beach volley.,beach volleyball,"FONOIMOANA, Eric",Men,USA,United States,M,Gold +Sydney,2000,Volleyball,Beach volley.,beach volleyball,"MELO, Jose Marco",Men,BRA,Brazil,M,Silver +Sydney,2000,Volleyball,Beach volley.,beach volleyball,"POTTHARST, Kerri",Women,AUS,Australia,W,Gold +Sydney,2000,Volleyball,Beach volley.,beach volleyball,"BEDE, Shelda",Women,BRA,Brazil,W,Silver +Sydney,2000,Volleyball,Beach volley.,beach volleyball,"PIRES, Sandra",Women,BRA,Brazil,W,Bronze +Sydney,2000,Volleyball,Beach volley.,beach volleyball,"AHMANN, Jörg",Men,GER,Germany,M,Bronze +Sydney,2000,Volleyball,Beach volley.,beach volleyball,"HAGER, Axel",Men,GER,Germany,M,Bronze +Sydney,2000,Volleyball,Beach volley.,beach volleyball,"COOK, Natalie",Women,AUS,Australia,W,Gold +Sydney,2000,Volleyball,Volleyball,volleyball,"PAPI, Samuele",Men,ITA,Italy,M,Bronze +Sydney,2000,Volleyball,Volleyball,volleyball,"CONCEICAO, Janina",Women,BRA,Brazil,W,Bronze +Sydney,2000,Volleyball,Volleyball,volleyball,"RODRIGUES, Karin",Women,BRA,Brazil,W,Bronze +Sydney,2000,Volleyball,Volleyball,volleyball,"TICHTCHENKO, Elizaveta",Women,RUS,Russia,W,Silver +Sydney,2000,Volleyball,Volleyball,volleyball,"GAMOVA, Ekaterina",Women,RUS,Russia,W,Silver +Sydney,2000,Volleyball,Volleyball,volleyball,"VUSUROVIC, Igor",Men,YUG,Yugoslavia,M,Gold +Sydney,2000,Volleyball,Volleyball,volleyball,"KAZAKOV, Alexei",Men,RUS,Russia,M,Silver +Sydney,2000,Volleyball,Volleyball,volleyball,"MEONI, Marco",Men,ITA,Italy,M,Bronze +Sydney,2000,Volleyball,Volleyball,volleyball,"TETYUKHIN, Sergey",Men,RUS,Russia,M,Silver +Sydney,2000,Volleyball,Volleyball,volleyball,"CHOULEPOV, Igor",Men,RUS,Russia,M,Silver +Sydney,2000,Volleyball,Volleyball,volleyball,"CHACHKOVA, Lioubov",Women,RUS,Russia,W,Silver +Sydney,2000,Volleyball,Volleyball,volleyball,"TYURINA, Elena",Women,RUS,Russia,W,Silver +Sydney,2000,Volleyball,Volleyball,volleyball,"GODINA, Elena",Women,RUS,Russia,W,Silver +Sydney,2000,Volleyball,Volleyball,volleyball,"BOSKAN, Slobodan",Men,YUG,Yugoslavia,M,Gold +Sydney,2000,Volleyball,Volleyball,volleyball,"GIANI, Andrea",Men,ITA,Italy,M,Bronze +Sydney,2000,Volleyball,Volleyball,volleyball,"GRAVINA, Pasquale",Men,ITA,Italy,M,Bronze +Sydney,2000,Volleyball,Volleyball,volleyball,"BELIKOVA, Anastassia",Women,RUS,Russia,W,Silver +Sydney,2000,Volleyball,Volleyball,volleyball,"MITKOV, Evgueni",Men,RUS,Russia,M,Silver +Sydney,2000,Volleyball,Volleyball,volleyball,"FRANCIA, Mirka",Women,CUB,Cuba,W,Gold +Sydney,2000,Volleyball,Volleyball,volleyball,"BARROS, Leila",Women,BRA,Brazil,W,Bronze +Sydney,2000,Volleyball,Volleyball,volleyball,"IZQUIERDO, Lilia",Women,CUB,Cuba,W,Gold +Sydney,2000,Volleyball,Volleyball,volleyball,"LOPES, Katia",Women,BRA,Brazil,W,Bronze +Sydney,2000,Volleyball,Volleyball,volleyball,"TOFOLI, Paolo",Men,ITA,Italy,M,Bronze +Sydney,2000,Volleyball,Volleyball,volleyball,"OLIKHVER, Ruslan",Men,RUS,Russia,M,Silver +Sydney,2000,Volleyball,Volleyball,volleyball,"GATO, Idalmis",Women,CUB,Cuba,W,Gold +Sydney,2000,Volleyball,Volleyball,volleyball,"BELL, Regla Maritza",Women,CUB,Cuba,W,Gold +Sydney,2000,Volleyball,Volleyball,volleyball,"BARROS, Zoila",Women,CUB,Cuba,W,Gold +Sydney,2000,Volleyball,Volleyball,volleyball,"PETKOVIC, Veljko",Men,YUG,Yugoslavia,M,Gold +Sydney,2000,Volleyball,Volleyball,volleyball,"IAKOVLEV, Roman",Men,RUS,Russia,M,Silver +Sydney,2000,Volleyball,Volleyball,volleyball,"GERIC, Andrija",Men,YUG,Yugoslavia,M,Gold +Sydney,2000,Volleyball,Volleyball,volleyball,"LUIS, Alejandrina",Women,CUB,Cuba,W,Gold +Sydney,2000,Volleyball,Volleyball,volleyball,"KHAMUTTSKIKH, Vadim",Men,RUS,Russia,M,Silver +Sydney,2000,Volleyball,Volleyball,volleyball,"GRATCHEVA, Tatiana",Women,RUS,Russia,W,Silver +Sydney,2000,Volleyball,Volleyball,volleyball,"FRAGA, Kely",Women,BRA,Brazil,W,Bronze +Sydney,2000,Volleyball,Volleyball,volleyball,"FEI, Alessandro",Men,ITA,Italy,M,Bronze +Sydney,2000,Volleyball,Volleyball,volleyball,"SARTORETTI, Andrea",Men,ITA,Italy,M,Bronze +Sydney,2000,Volleyball,Volleyball,volleyball,"MOROZOVA, Natalia",Women,RUS,Russia,W,Silver +Sydney,2000,Volleyball,Volleyball,volleyball,"GRBIC, Nikola",Men,YUG,Yugoslavia,M,Gold +Sydney,2000,Volleyball,Volleyball,volleyball,"LIMA, Ricarda",Women,BRA,Brazil,W,Bronze +Sydney,2000,Volleyball,Volleyball,volleyball,"SOUZA, Helia",Women,BRA,Brazil,W,Bronze +Sydney,2000,Volleyball,Volleyball,volleyball,"OLIVEIRA, Elisangela",Women,BRA,Brazil,W,Bronze +Sydney,2000,Volleyball,Volleyball,volleyball,"VUJEVIC, Goran",Men,YUG,Yugoslavia,M,Gold +Sydney,2000,Volleyball,Volleyball,volleyball,"DIAS, Virna",Women,BRA,Brazil,W,Bronze +Sydney,2000,Volleyball,Volleyball,volleyball,"RUIZ, Yumilka",Women,CUB,Cuba,W,Gold +Sydney,2000,Volleyball,Volleyball,volleyball,"MASTRANGELO, Luigi",Men,ITA,Italy,M,Bronze +Sydney,2000,Volleyball,Volleyball,volleyball,"CORSANO, Mirko",Men,ITA,Italy,M,Bronze +Sydney,2000,Volleyball,Volleyball,volleyball,"FERNANDEZ, Ana Ibis",Women,CUB,Cuba,W,Gold +Sydney,2000,Volleyball,Volleyball,volleyball,"TORRES, Regla",Women,CUB,Cuba,W,Gold +Sydney,2000,Volleyball,Volleyball,volleyball,"KULESHOV, Alexey",Men,RUS,Russia,M,Silver +Sydney,2000,Volleyball,Volleyball,volleyball,"GRBIC, Vladimir",Men,YUG,Yugoslavia,M,Gold +Sydney,2000,Volleyball,Volleyball,volleyball,"ROSALBA, Simone",Men,ITA,Italy,M,Bronze +Sydney,2000,Volleyball,Volleyball,volleyball,"COSTA, Marlenis",Women,CUB,Cuba,W,Gold +Sydney,2000,Volleyball,Volleyball,volleyball,"GARDINI, Andrea",Men,ITA,Italy,M,Bronze +Sydney,2000,Volleyball,Volleyball,volleyball,"VASSILEVSKAIA, Elena",Women,RUS,Russia,W,Silver +Sydney,2000,Volleyball,Volleyball,volleyball,"GORYUSHEV, Valeriy",Men,RUS,Russia,M,Silver +Sydney,2000,Volleyball,Volleyball,volleyball,"SARGSIAN, Inessa",Women,RUS,Russia,W,Silver +Sydney,2000,Volleyball,Volleyball,volleyball,"SAVELIEV, Ilia",Men,RUS,Russia,M,Silver +Sydney,2000,Volleyball,Volleyball,volleyball,"ARTAMONOVA, Evgenya",Women,RUS,Russia,W,Silver +Sydney,2000,Volleyball,Volleyball,volleyball,"POTACHOVA, Olga",Women,RUS,Russia,W,Silver +Sydney,2000,Volleyball,Volleyball,volleyball,"MESTER, Djula",Men,YUG,Yugoslavia,M,Gold +Sydney,2000,Volleyball,Volleyball,volleyball,"BRACCI, Marco",Men,ITA,Italy,M,Bronze +Sydney,2000,Volleyball,Volleyball,volleyball,"USHAKOV, Konstantin",Men,RUS,Russia,M,Silver +Sydney,2000,Volleyball,Volleyball,volleyball,"SANCHEZ SALFRAN, Martha",Women,CUB,Cuba,W,Gold +Sydney,2000,Volleyball,Volleyball,volleyball,"COIMBRA, Erika",Women,BRA,Brazil,W,Bronze +Sydney,2000,Volleyball,Volleyball,volleyball,"BATEZ, Vladimir",Men,YUG,Yugoslavia,M,Gold +Sydney,2000,Volleyball,Volleyball,volleyball,"GUERASSIMOV, Alexandre",Men,RUS,Russia,M,Silver +Sydney,2000,Volleyball,Volleyball,volleyball,"OLIVEIRA, Walewska",Women,BRA,Brazil,W,Bronze +Sydney,2000,Volleyball,Volleyball,volleyball,"SILVA, Raquel",Women,BRA,Brazil,W,Bronze +Sydney,2000,Volleyball,Volleyball,volleyball,"KOVAC, Slobodan",Men,YUG,Yugoslavia,M,Gold +Sydney,2000,Volleyball,Volleyball,volleyball,"MIJIC, Vasa",Men,YUG,Yugoslavia,M,Gold +Sydney,2000,Volleyball,Volleyball,volleyball,"MILJKOVIC, Ivan",Men,YUG,Yugoslavia,M,Gold +Sydney,2000,Volleyball,Volleyball,volleyball,"AGUERO, Taimaris",Women,CUB,Cuba,W,Gold +Sydney,2000,Weightlifting,Weightlifting,48kg,"INDRIYANI, Sri",Women,INA,Indonesia,W,Bronze +Sydney,2000,Weightlifting,Weightlifting,75kg,"KUO, Yi-Hang",Women,TPE,Taiwan,W,Bronze +Sydney,2000,Weightlifting,Weightlifting,63kg,"POPOVA, Valentina",Women,RUS,Russia,W,Silver +Sydney,2000,Weightlifting,Weightlifting,63kg,"CHEN, Xiaomin",Women,CHN,China,W,Gold +Sydney,2000,Weightlifting,Weightlifting,75kg,"URRUTIA, Maria Isabel",Women,COL,Colombia,W,Gold +Sydney,2000,Weightlifting,Weightlifting,+ 105kg,"WELLER, Ronny",Men,GER,Germany,M,Silver +Sydney,2000,Weightlifting,Weightlifting,+ 75kg,"DING, Meiyuan",Women,CHN,China,W,Gold +Sydney,2000,Weightlifting,Weightlifting,48kg,"NOTT, Tara",Women,USA,United States,W,Gold +Sydney,2000,Weightlifting,Weightlifting,+ 75kg,"HAWORTH, Cheryl",Women,USA,United States,W,Bronze +Sydney,2000,Weightlifting,Weightlifting,58kg,"RI, Song Hui",Women,PRK,"Korea, North",W,Silver +Sydney,2000,Weightlifting,Weightlifting,53kg,"SLAMET, Winarni Binti",Women,INA,Indonesia,W,Bronze +Sydney,2000,Weightlifting,Weightlifting,+ 75kg,"WROBEL, Agata",Women,POL,Poland,W,Silver +Sydney,2000,Weightlifting,Weightlifting,53kg,"YANG, Xia",Women,CHN,China,W,Gold +Sydney,2000,Weightlifting,Weightlifting,77kg,"MITROU, Viktor",Men,GRE,Greece,M,Silver +Sydney,2000,Weightlifting,Weightlifting,63kg,"CHATZIIOANNOU, Ioanna",Women,GRE,Greece,W,Bronze +Sydney,2000,Weightlifting,Weightlifting,62kg,"OLESHCHUK, Gennady",Men,BLR,Belarus,M,Bronze +Sydney,2000,Weightlifting,Weightlifting,94kg,"KAKIASVILIS, Akakios",Men,GRE,Greece,M,Gold +Sydney,2000,Weightlifting,Weightlifting,77kg,"ZHAN, Xugang",Men,CHN,China,M,Gold +Sydney,2000,Weightlifting,Weightlifting,94kg,"PETROV, Aleksey",Men,RUS,Russia,M,Bronze +Sydney,2000,Weightlifting,Weightlifting,69kg,"LIN, Weining",Women,CHN,China,W,Gold +Sydney,2000,Weightlifting,Weightlifting,62kg,"SAMPANIS, Leonidas",Men,GRE,Greece,M,Silver +Sydney,2000,Weightlifting,Weightlifting,56kg,"ZHANG, Xiangxiang",Men,CHN,China,M,Bronze +Sydney,2000,Weightlifting,Weightlifting,85kg,"HUSTER, Marc",Men,GER,Germany,M,Silver +Sydney,2000,Weightlifting,Weightlifting,105kg,"TAVAKOLI, Hossein",Men,IRI,Iran,M,Gold +Sydney,2000,Weightlifting,Weightlifting,69kg,"MALLESWARI, Karnam",Women,IND,India,W,Bronze +Sydney,2000,Weightlifting,Weightlifting,94kg,"KOLECKI, Szymon",Men,POL,Poland,M,Silver +Sydney,2000,Weightlifting,Weightlifting,85kg,"DIMAS, Pyrros",Men,GRE,Greece,M,Gold +Sydney,2000,Weightlifting,Weightlifting,75kg,"OGBEIFO, Ruth",Women,NGR,Nigeria,W,Silver +Sydney,2000,Weightlifting,Weightlifting,48kg,"RUMBEWAS, Raema Lisa",Women,INA,Indonesia,W,Silver +Sydney,2000,Weightlifting,Weightlifting,105kg,"TSAGAEV, Alan",Men,BUL,Bulgaria,M,Silver +Sydney,2000,Weightlifting,Weightlifting,69kg,"LAVRENOV, Sergei",Men,BLR,Belarus,M,Bronze +Sydney,2000,Weightlifting,Weightlifting,56kg,"MUTLU, Halil",Men,TUR,Turkey,M,Gold +Sydney,2000,Weightlifting,Weightlifting,62kg,"PECHALOV, Nikolay",Men,CRO,Croatia,M,Gold +Sydney,2000,Weightlifting,Weightlifting,77kg,"MELIKYAN, Arsen",Men,ARM,Armenia,M,Bronze +Sydney,2000,Weightlifting,Weightlifting,58kg,"SUTA, Khassaraporn",Women,THA,Thailand,W,Bronze +Sydney,2000,Weightlifting,Weightlifting,+ 105kg,"REZA ZADEH, Hossein",Men,IRI,Iran,M,Gold +Sydney,2000,Weightlifting,Weightlifting,69kg,"PERESZTEGINE MARKUS, Erzsebet",Women,HUN,Hungary,W,Silver +Sydney,2000,Weightlifting,Weightlifting,105kg,"ASAAD, Said Saif",Men,QAT,Qatar,M,Bronze +Sydney,2000,Weightlifting,Weightlifting,+ 105kg,"CHEMERKIN, Andrey",Men,RUS,Russia,M,Bronze +Sydney,2000,Weightlifting,Weightlifting,85kg,"ASANIDZE, George",Men,GEO,Georgia,M,Bronze +Sydney,2000,Weightlifting,Weightlifting,69kg,"BOEVSKI, Galabin",Men,BUL,Bulgaria,M,Gold +Sydney,2000,Weightlifting,Weightlifting,53kg,"LI, Feng-Ying",Women,TPE,Taiwan,W,Silver +Sydney,2000,Weightlifting,Weightlifting,69kg,"MARKOV, Georgi",Men,BUL,Bulgaria,M,Silver +Sydney,2000,Weightlifting,Weightlifting,56kg,"WU, Wenxiong",Men,CHN,China,M,Silver +Sydney,2000,Weightlifting,Weightlifting,58kg,"JIMENEZ MENDIVIL, Soraya",Women,MEX,Mexico,W,Gold +Sydney,2000,Wrestling,Wrestling Free.,54 - 58kg,"BUSLOVYCH, Yevgen",Men,UKR,Ukraine,M,Silver +Sydney,2000,Wrestling,Wrestling Free.,97 - 130kg,"TAYMAZOV, Artur",Men,UZB,Uzbekistan,M,Silver +Sydney,2000,Wrestling,Wrestling Free.,54 - 58kg,"BRANDS, Terry",Men,USA,United States,M,Bronze +Sydney,2000,Wrestling,Wrestling Free.,58 - 63kg,"OUMAKHANOV, Mourad",Men,RUS,Russia,M,Gold +Sydney,2000,Wrestling,Wrestling Free.,69 - 76kg,"SLAY, Brandon",Men,USA,United States,M,Gold +Sydney,2000,Wrestling,Wrestling Free.,76 - 85kg,"ROMERO, Yoel",Men,CUB,Cuba,M,Silver +Sydney,2000,Wrestling,Wrestling Free.,85 - 97kg,"KURTANIDZE, Eldari",Men,GEO,Georgia,M,Bronze +Sydney,2000,Wrestling,Wrestling Free.,85 - 97kg,"BAIRAMUKOV, Islam",Men,KAZ,Kazakhstan,M,Silver +Sydney,2000,Wrestling,Wrestling Free.,48 - 54kg,"ABDULLAYEV, Namig",Men,AZE,Azerbaijan,M,Gold +Sydney,2000,Wrestling,Wrestling Free.,63 - 69kg,"MCILRAVY, Lincoln",Men,USA,United States,M,Bronze +Sydney,2000,Wrestling,Wrestling Free.,97 - 130kg,"MOUSSOULBES, David",Men,RUS,Russia,M,Gold +Sydney,2000,Wrestling,Wrestling Free.,63 - 69kg,"GITINOV, Arsen",Men,RUS,Russia,M,Silver +Sydney,2000,Wrestling,Wrestling Free.,48 - 54kg,"HENSON, Samuel",Men,USA,United States,M,Silver +Sydney,2000,Wrestling,Wrestling Free.,97 - 130kg,"RODRIGUEZ, Alexis",Men,CUB,Cuba,M,Bronze +Sydney,2000,Wrestling,Wrestling Free.,76 - 85kg,"IBRAGIMOV, Mogamed",Men,MKD,Macedonia,M,Bronze +Sydney,2000,Wrestling,Wrestling Free.,48 - 54kg,"KARNTANOV, Amiran",Men,GRE,Greece,M,Bronze +Sydney,2000,Wrestling,Wrestling Free.,63 - 69kg,"IGALI, Daniel",Men,CAN,Canada,M,Gold +Sydney,2000,Wrestling,Wrestling Free.,54 - 58kg,"DABIR, Alireza",Men,IRI,Iran,M,Gold +Sydney,2000,Wrestling,Wrestling Free.,69 - 76kg,"MOON, Eui Jae",Men,KOR,"Korea, South",M,Silver +Sydney,2000,Wrestling,Wrestling Free.,76 - 85kg,"SAITIEV, Adam",Men,RUS,Russia,M,Gold +Sydney,2000,Wrestling,Wrestling Free.,85 - 97kg,"MOURTASALIYEV, Saghid",Men,RUS,Russia,M,Gold +Sydney,2000,Wrestling,Wrestling Free.,58 - 63kg,"JANG, Jae-Sung",Men,KOR,"Korea, South",M,Bronze +Sydney,2000,Wrestling,Wrestling Free.,69 - 76kg,"BEREKET, Adem",Men,TUR,Turkey,M,Bronze +Sydney,2000,Wrestling,Wrestling Free.,58 - 63kg,"BARZAKOV, Serafim",Men,BUL,Bulgaria,M,Silver +Sydney,2000,Wrestling,Wrestling Gre-R,63 - 69kg,"NAGATA, Katsuhiko",Men,JPN,Japan,M,Silver +Sydney,2000,Wrestling,Wrestling Gre-R,97 - 130kg,"DEBELKA, Dmitry",Men,BLR,Belarus,M,Bronze +Sydney,2000,Wrestling,Wrestling Gre-R,85 - 97kg,"LOWNEY, Steven",Men,USA,United States,M,Bronze +Sydney,2000,Wrestling,Wrestling Gre-R,48 - 54kg,"RIVAS, Lazaro",Men,CUB,Cuba,M,Silver +Sydney,2000,Wrestling,Wrestling Gre-R,85 - 97kg,"LJUNGBERG, Mikael",Men,SWE,Sweden,M,Gold +Sydney,2000,Wrestling,Wrestling Gre-R,76 - 85kg,"BARDOSI, Sandor Istvan",Men,HUN,Hungary,M,Silver +Sydney,2000,Wrestling,Wrestling Gre-R,69 - 76kg,"YLI-HANNUKSELA, Marko",Men,FIN,Finland,M,Bronze +Sydney,2000,Wrestling,Wrestling Gre-R,69 - 76kg,"KARDANOV, Mourat",Men,RUS,Russia,M,Gold +Sydney,2000,Wrestling,Wrestling Gre-R,63 - 69kg,"ASCUY AGUILERA, Feliberto",Men,CUB,Cuba,M,Gold +Sydney,2000,Wrestling,Wrestling Gre-R,97 - 130kg,"GARDNER, Rulon",Men,USA,United States,M,Gold +Sydney,2000,Wrestling,Wrestling Gre-R,58 - 63kg,"CHACHUA, Akaki",Men,GEO,Georgia,M,Bronze +Sydney,2000,Wrestling,Wrestling Gre-R,85 - 97kg,"SALDADZE, Davyd",Men,UKR,Ukraine,M,Silver +Sydney,2000,Wrestling,Wrestling Gre-R,54 - 58kg,"NAZARIAN, Armen",Men,BUL,Bulgaria,M,Gold +Sydney,2000,Wrestling,Wrestling Gre-R,58 - 63kg,"SAMURGASHEV, Varteres",Men,RUS,Russia,M,Gold +Sydney,2000,Wrestling,Wrestling Gre-R,63 - 69kg,"GLOUCHKOV, Alexei",Men,RUS,Russia,M,Bronze +Sydney,2000,Wrestling,Wrestling Gre-R,48 - 54kg,"SIM, Kwon-Ho",Men,KOR,"Korea, South",M,Gold +Sydney,2000,Wrestling,Wrestling Gre-R,76 - 85kg,"VAKHTANGADZE, Mukhran",Men,GEO,Georgia,M,Bronze +Sydney,2000,Wrestling,Wrestling Gre-R,48 - 54kg,"KANG, Yong Gyun",Men,PRK,"Korea, North",M,Bronze +Sydney,2000,Wrestling,Wrestling Gre-R,54 - 58kg,"SHENG, Zetian",Men,CHN,China,M,Bronze +Sydney,2000,Wrestling,Wrestling Gre-R,69 - 76kg,"LINDLAND, Matt James",Men,USA,United States,M,Silver +Sydney,2000,Wrestling,Wrestling Gre-R,97 - 130kg,"KARELIN, Aleksandr",Men,RUS,Russia,M,Silver +Sydney,2000,Wrestling,Wrestling Gre-R,76 - 85kg,"YERLIKAYA, Hamza",Men,TUR,Turkey,M,Gold +Sydney,2000,Wrestling,Wrestling Gre-R,54 - 58kg,"KIM, In-Sub",Men,KOR,"Korea, South",M,Silver +Sydney,2000,Wrestling,Wrestling Gre-R,58 - 63kg,"MAREN, Juan Luis",Men,CUB,Cuba,M,Silver +Athens,2004,Aquatics,Diving,3m springboard,"DESPATIE, Alexandre",Men,CAN,Canada,M,Silver +Athens,2004,Aquatics,Diving,3m springboard,"SAUTIN, Dmitry",Men,RUS,Russia,M,Bronze +Athens,2004,Aquatics,Diving,3m springboard,"PAKHALINA, Ioulia",Women,RUS,Russia,W,Bronze +Athens,2004,Aquatics,Diving,synchronized diving 3m springboard,"NEWBERY, Robert",Men,AUS,Australia,M,Bronze +Athens,2004,Aquatics,Diving,synchronized diving 3m springboard,"BIMIS, Thomas",Men,GRE,Greece,M,Gold +Athens,2004,Aquatics,Diving,synchronized diving 3m springboard,"ILYINA, Vera",Women,RUS,Russia,W,Silver +Athens,2004,Aquatics,Diving,synchronized diving 10m platform,"LI, Ting",Women,CHN,China,W,Gold +Athens,2004,Aquatics,Diving,synchronized diving 3m springboard,"LASHKO, Irina",Women,AUS,Australia,W,Bronze +Athens,2004,Aquatics,Diving,10m platform,"LAO, Lishi",Women,CHN,China,W,Silver +Athens,2004,Aquatics,Diving,synchronized diving 3m springboard,"GUO, Jingjing",Women,CHN,China,W,Gold +Athens,2004,Aquatics,Diving,synchronized diving 10m platform,"HARTLEY, Blythe",Women,CAN,Canada,W,Bronze +Athens,2004,Aquatics,Diving,10m platform,"HELM, Mathew",Men,AUS,Australia,M,Silver +Athens,2004,Aquatics,Diving,synchronized diving 10m platform,"HELM, Mathew",Men,AUS,Australia,M,Bronze +Athens,2004,Aquatics,Diving,synchronized diving 10m platform,"HEYMANS, Emilie",Women,CAN,Canada,W,Bronze +Athens,2004,Aquatics,Diving,3m springboard,"PENG, Bo",Men,CHN,China,M,Gold +Athens,2004,Aquatics,Diving,synchronized diving 10m platform,"TAYLOR, Leon",Men,GBR,United Kingdom,M,Silver +Athens,2004,Aquatics,Diving,synchronized diving 10m platform,"TIAN, Liang",Men,CHN,China,M,Gold +Athens,2004,Aquatics,Diving,synchronized diving 10m platform,"KOLTUNOVA, Yulia",Women,RUS,Russia,W,Silver +Athens,2004,Aquatics,Diving,synchronized diving 10m platform,"GONCHAROVA, Natalia",Women,RUS,Russia,W,Silver +Athens,2004,Aquatics,Diving,10m platform,"NEWBERY, Chantelle",Women,AUS,Australia,W,Gold +Athens,2004,Aquatics,Diving,synchronized diving 10m platform,"NEWBERY, Robert",Men,AUS,Australia,M,Bronze +Athens,2004,Aquatics,Diving,synchronized diving 3m springboard,"SCHELLENBERG, Tobias",Men,GER,Germany,M,Silver +Athens,2004,Aquatics,Diving,synchronized diving 10m platform,"YANG, Jinghui",Men,CHN,China,M,Gold +Athens,2004,Aquatics,Diving,synchronized diving 3m springboard,"BARNETT, Steven",Men,AUS,Australia,M,Bronze +Athens,2004,Aquatics,Diving,synchronized diving 3m springboard,"PAKHALINA, Ioulia",Women,RUS,Russia,W,Silver +Athens,2004,Aquatics,Diving,3m springboard,"GUO, Jingjing",Women,CHN,China,W,Gold +Athens,2004,Aquatics,Diving,synchronized diving 3m springboard,"NEWBERY, Chantelle",Women,AUS,Australia,W,Bronze +Athens,2004,Aquatics,Diving,synchronized diving 10m platform,"WATERFIELD, Peter",Men,GBR,United Kingdom,M,Silver +Athens,2004,Aquatics,Diving,synchronized diving 10m platform,"LAO, Lishi",Women,CHN,China,W,Gold +Athens,2004,Aquatics,Diving,10m platform,"TIAN, Liang",Men,CHN,China,M,Bronze +Athens,2004,Aquatics,Diving,10m platform,"TOURKY, Loudy",Women,AUS,Australia,W,Bronze +Athens,2004,Aquatics,Diving,3m springboard,"WU, Minxia",Women,CHN,China,W,Silver +Athens,2004,Aquatics,Diving,synchronized diving 3m springboard,"WELS, Andreas",Men,GER,Germany,M,Silver +Athens,2004,Aquatics,Diving,10m platform,"HU, Jia",Men,CHN,China,M,Gold +Athens,2004,Aquatics,Diving,synchronized diving 3m springboard,"WU, Minxia",Women,CHN,China,W,Gold +Athens,2004,Aquatics,Diving,synchronized diving 3m springboard,"SIRANIDIS, Nikolaos",Men,GRE,Greece,M,Gold +Athens,2004,Aquatics,Swimming,200m individual medley,"COVENTRY, Kirsty",Women,ZIM,Zimbabwe,W,Bronze +Athens,2004,Aquatics,Swimming,200m butterfly,"YAMAMOTO, Takashi",Men,JPN,Japan,M,Silver +Athens,2004,Aquatics,Swimming,4x100m freestyle relay,"TRICKETT, Lisbeth",Women,AUS,Australia,W,Gold +Athens,2004,Aquatics,Swimming,4x100m medley relay,"MORITA, Tomomi",Men,JPN,Japan,M,Bronze +Athens,2004,Aquatics,Swimming,4x100m medley relay,"HENRY, Jodie",Women,AUS,Australia,W,Gold +Athens,2004,Aquatics,Swimming,200m breaststroke,"POLESKA, Anne",Women,GER,Germany,W,Bronze +Athens,2004,Aquatics,Swimming,4x100m freestyle relay,"BENKO, Lindsay",Women,USA,United States,W,Silver +Athens,2004,Aquatics,Swimming,400m freestyle,"HACKETT, Grant",Men,AUS,Australia,M,Silver +Athens,2004,Aquatics,Swimming,100m freestyle,"COUGHLIN, Natalie",Women,USA,United States,W,Bronze +Athens,2004,Aquatics,Swimming,4x200m freestyle relay,"MATKOVICH, Antony",Men,AUS,Australia,M,Silver +Athens,2004,Aquatics,Swimming,100m freestyle,"VAN DEN HOOGENBAND, Pieter",Men,NED,Netherlands,M,Gold +Athens,2004,Aquatics,Swimming,4x100m freestyle relay,"VAN DEN HOOGENBAND, Pieter",Men,NED,Netherlands,M,Silver +Athens,2004,Aquatics,Swimming,100m breaststroke,"LUO, Xuejuan",Women,CHN,China,W,Gold +Athens,2004,Aquatics,Swimming,4x100m medley relay,"COUGHLIN, Natalie",Women,USA,United States,W,Silver +Athens,2004,Aquatics,Swimming,4x200m freestyle relay,"PELLICIARI, Matteo",Men,ITA,Italy,M,Bronze +Athens,2004,Aquatics,Swimming,100m butterfly,"PHELPS, Michael",Men,USA,United States,M,Gold +Athens,2004,Aquatics,Swimming,100m butterfly,"JEDRZEJCZAK, Otylia",Women,POL,Poland,W,Silver +Athens,2004,Aquatics,Swimming,4x100m medley relay,"WEIR, Amanda",Women,USA,United States,W,Silver +Athens,2004,Aquatics,Swimming,200m individual medley,"PHELPS, Michael",Men,USA,United States,M,Gold +Athens,2004,Aquatics,Swimming,100m breaststroke,"DUBOSCQ, Hugues",Men,FRA,France,M,Bronze +Athens,2004,Aquatics,Swimming,200m breaststroke,"KITAJIMA, Kosuke",Men,JPN,Japan,M,Gold +Athens,2004,Aquatics,Swimming,200m freestyle,"VAN DEN HOOGENBAND, Pieter",Men,NED,Netherlands,M,Silver +Athens,2004,Aquatics,Swimming,200m freestyle,"FIGUES, Solenne",Women,FRA,France,W,Bronze +Athens,2004,Aquatics,Swimming,4x100m medley relay,"YAMAMOTO, Takashi",Men,JPN,Japan,M,Bronze +Athens,2004,Aquatics,Swimming,200m backstroke,"NAKAMURA, Reiko",Women,JPN,Japan,W,Bronze +Athens,2004,Aquatics,Swimming,4x100m freestyle relay,"WOODWARD, Gabe",Men,USA,United States,M,Bronze +Athens,2004,Aquatics,Swimming,4x100m medley relay,"POEWE, Sarah",Women,GER,Germany,W,Bronze +Athens,2004,Aquatics,Swimming,100m backstroke,"COVENTRY, Kirsty",Women,ZIM,Zimbabwe,W,Silver +Athens,2004,Aquatics,Swimming,4x100m freestyle relay,"FERNS, Lyndon",Men,RSA,South Africa,M,Gold +Athens,2004,Aquatics,Swimming,200m backstroke,"ROGAN, Markus",Men,AUT,Austria,M,Silver +Athens,2004,Aquatics,Swimming,4x100m medley relay,"OKUMURA, Yoshihiro",Men,JPN,Japan,M,Bronze +Athens,2004,Aquatics,Swimming,100m freestyle,"HENRY, Jodie",Women,AUS,Australia,W,Gold +Athens,2004,Aquatics,Swimming,4x200m freestyle relay,"VOLLMER, Dana",Women,USA,United States,W,Gold +Athens,2004,Aquatics,Swimming,200m backstroke,"PEIRSOL, Aaron",Men,USA,United States,M,Gold +Athens,2004,Aquatics,Swimming,200m individual medley,"BEARD, Amanda",Women,USA,United States,W,Silver +Athens,2004,Aquatics,Swimming,4x100m medley relay,"WALKER, Neil",Men,USA,United States,M,Gold +Athens,2004,Aquatics,Swimming,4x200m freestyle relay,"KETCHUM, Dan",Men,USA,United States,M,Gold +Athens,2004,Aquatics,Swimming,400m individual medley,"PHELPS, Michael",Men,USA,United States,M,Gold +Athens,2004,Aquatics,Swimming,4x200m freestyle relay,"THORPE, Ian",Men,AUS,Australia,M,Silver +Athens,2004,Aquatics,Swimming,400m freestyle,"SANDENO, Kaitlin",Women,USA,United States,W,Bronze +Athens,2004,Aquatics,Swimming,200m freestyle,"POTEC, Camelia",Women,ROU,Romania,W,Gold +Athens,2004,Aquatics,Swimming,200m butterfly,"JEDRZEJCZAK, Otylia",Women,POL,Poland,W,Gold +Athens,2004,Aquatics,Swimming,4x200m freestyle relay,"SPRENGER, Nicholas",Men,AUS,Australia,M,Silver +Athens,2004,Aquatics,Swimming,4x100m freestyle relay,"THOMPSON, Jenny",Women,USA,United States,W,Silver +Athens,2004,Aquatics,Swimming,4x100m freestyle relay,"LEZAK, Jason",Men,USA,United States,M,Bronze +Athens,2004,Aquatics,Swimming,4x100m medley relay,"MEEUW, Helge",Men,GER,Germany,M,Silver +Athens,2004,Aquatics,Swimming,4x100m medley relay,"DRIESEN, Steffen",Men,GER,Germany,M,Silver +Athens,2004,Aquatics,Swimming,4x100m medley relay,"BUSCHSCHULTE, Antje",Women,GER,Germany,W,Bronze +Athens,2004,Aquatics,Swimming,4x100m freestyle relay,"THOMAS, Petria",Women,AUS,Australia,W,Gold +Athens,2004,Aquatics,Swimming,4x100m freestyle relay,"WALKER, Neil",Men,USA,United States,M,Bronze +Athens,2004,Aquatics,Swimming,50m freestyle,"METELLA, Malia",Women,FRA,France,W,Silver +Athens,2004,Aquatics,Swimming,4x200m freestyle relay,"PHELPS, Michael",Men,USA,United States,M,Gold +Athens,2004,Aquatics,Swimming,4x100m freestyle relay,"DUSING, Nate",Men,USA,United States,M,Bronze +Athens,2004,Aquatics,Swimming,4x100m freestyle relay,"MILLS, Alice",Women,AUS,Australia,W,Gold +Athens,2004,Aquatics,Swimming,800m freestyle,"MANAUDOU, Laure",Women,FRA,France,W,Silver +Athens,2004,Aquatics,Swimming,4x200m freestyle relay,"HARSTICK, Sara",Women,GER,Germany,W,Bronze +Athens,2004,Aquatics,Swimming,100m butterfly,"THOMAS, Petria",Women,AUS,Australia,W,Gold +Athens,2004,Aquatics,Swimming,4x100m freestyle relay,"PHELPS, Michael",Men,USA,United States,M,Bronze +Athens,2004,Aquatics,Swimming,50m freestyle,"HALL, Gary Jr.",Men,USA,United States,M,Gold +Athens,2004,Aquatics,Swimming,4x200m freestyle relay,"PANG, Jiaying",Women,CHN,China,W,Silver +Athens,2004,Aquatics,Swimming,4x200m freestyle relay,"HACKETT, Grant",Men,AUS,Australia,M,Silver +Athens,2004,Aquatics,Swimming,100m butterfly,"CROCKER, Ian",Men,USA,United States,M,Silver +Athens,2004,Aquatics,Swimming,4x100m freestyle relay,"GROOT, Chantal",Women,NED,Netherlands,W,Bronze +Athens,2004,Aquatics,Swimming,4x100m medley relay,"KOMISARZ, Rachel",Women,USA,United States,W,Silver +Athens,2004,Aquatics,Swimming,4x100m freestyle relay,"SCHOEMAN, Roland",Men,RSA,South Africa,M,Gold +Athens,2004,Aquatics,Swimming,200m backstroke,"BUSCHSCHULTE, Antje",Women,GER,Germany,W,Bronze +Athens,2004,Aquatics,Swimming,4x200m freestyle relay,"BUSCHSCHULTE, Antje",Women,GER,Germany,W,Bronze +Athens,2004,Aquatics,Swimming,4x100m medley relay,"JONES, Leisel",Women,AUS,Australia,W,Gold +Athens,2004,Aquatics,Swimming,4x100m freestyle relay,"RYAN, Sarah",Women,AUS,Australia,W,Gold +Athens,2004,Aquatics,Swimming,100m backstroke,"PEIRSOL, Aaron",Men,USA,United States,M,Gold +Athens,2004,Aquatics,Swimming,400m individual medley,"KLOCHKOVA, Yana",Women,UKR,Ukraine,W,Gold +Athens,2004,Aquatics,Swimming,4x100m medley relay,"PHELPS, Michael",Men,USA,United States,M,Gold +Athens,2004,Aquatics,Swimming,4x200m freestyle relay,"GOETZ, Janina Kristin",Women,GER,Germany,W,Bronze +Athens,2004,Aquatics,Swimming,4x100m medley relay,"KRUPPA, Jens",Men,GER,Germany,M,Silver +Athens,2004,Aquatics,Swimming,4x100m medley relay,"GANGLOFF, Mark",Men,USA,United States,M,Gold +Athens,2004,Aquatics,Swimming,4x100m medley relay,"JOYCE, Kara Lynn",Women,USA,United States,W,Silver +Athens,2004,Aquatics,Swimming,4x200m freestyle relay,"KOMISARZ, Rachel",Women,USA,United States,W,Gold +Athens,2004,Aquatics,Swimming,4x100m medley relay,"BEARD, Amanda",Women,USA,United States,W,Silver +Athens,2004,Aquatics,Swimming,200m individual medley,"KLOCHKOVA, Yana",Women,UKR,Ukraine,W,Gold +Athens,2004,Aquatics,Swimming,4x200m freestyle relay,"PIPER, Carly",Women,USA,United States,W,Gold +Athens,2004,Aquatics,Swimming,4x100m freestyle relay,"NEETHLING, Ryk",Men,RSA,South Africa,M,Gold +Athens,2004,Aquatics,Swimming,4x100m freestyle relay,"TOWNSEND, Darian",Men,RSA,South Africa,M,Gold +Athens,2004,Aquatics,Swimming,4x100m medley relay,"CROCKER, Ian",Men,USA,United States,M,Gold +Athens,2004,Aquatics,Swimming,200m individual medley,"LOCHTE, Ryan",Men,USA,United States,M,Silver +Athens,2004,Aquatics,Swimming,4x200m freestyle relay,"LOCHTE, Ryan",Men,USA,United States,M,Gold +Athens,2004,Aquatics,Swimming,50m freestyle,"SCHOEMAN, Roland",Men,RSA,South Africa,M,Bronze +Athens,2004,Aquatics,Swimming,4x100m medley relay,"SCHIPPER, Jess",Women,AUS,Australia,W,Gold +Athens,2004,Aquatics,Swimming,200m backstroke,"KOMAROVA, Stanislava",Women,RUS,Russia,W,Silver +Athens,2004,Aquatics,Swimming,4x200m freestyle relay,"ZHU, Yingwen",Women,CHN,China,W,Silver +Athens,2004,Aquatics,Swimming,4x100m medley relay,"VAN ALMSICK, Franziska",Women,GER,Germany,W,Bronze +Athens,2004,Aquatics,Swimming,4x100m medley relay,"MILLS, Alice",Women,AUS,Australia,W,Gold +Athens,2004,Aquatics,Swimming,4x100m freestyle relay,"VEENS, Mark Hermanus",Men,NED,Netherlands,M,Silver +Athens,2004,Aquatics,Swimming,4x100m freestyle relay,"VELDHUIS, Marleen",Women,NED,Netherlands,W,Bronze +Athens,2004,Aquatics,Swimming,100m backstroke,"COUGHLIN, Natalie",Women,USA,United States,W,Gold +Athens,2004,Aquatics,Swimming,4x200m freestyle relay,"MAGNINI, Filippo",Men,ITA,Italy,M,Bronze +Athens,2004,Aquatics,Swimming,4x100m medley relay,"COPE, Haley",Women,USA,United States,W,Silver +Athens,2004,Aquatics,Swimming,100m backstroke,"MANAUDOU, Laure",Women,FRA,France,W,Bronze +Athens,2004,Aquatics,Swimming,400m freestyle,"THORPE, Ian",Men,AUS,Australia,M,Gold +Athens,2004,Aquatics,Swimming,4x100m freestyle relay,"ZWERING, Klaas-Erik",Men,NED,Netherlands,M,Silver +Athens,2004,Aquatics,Swimming,200m backstroke,"COVENTRY, Kirsty",Women,ZIM,Zimbabwe,W,Gold +Athens,2004,Aquatics,Swimming,4x100m freestyle relay,"DEKKER, Inge",Women,NED,Netherlands,W,Bronze +Athens,2004,Aquatics,Swimming,200m butterfly,"PHELPS, Michael",Men,USA,United States,M,Gold +Athens,2004,Aquatics,Swimming,400m individual medley,"VENDT, Erik",Men,USA,United States,M,Silver +Athens,2004,Aquatics,Swimming,4x200m freestyle relay,"VAN ALMSICK, Franziska",Women,GER,Germany,W,Bronze +Athens,2004,Aquatics,Swimming,4x100m medley relay,"THOMPSON, Jenny",Women,USA,United States,W,Silver +Athens,2004,Aquatics,Swimming,4x200m freestyle relay,"GOLDBLATT, Scott",Men,USA,United States,M,Gold +Athens,2004,Aquatics,Swimming,100m backstroke,"MORITA, Tomomi",Men,JPN,Japan,M,Bronze +Athens,2004,Aquatics,Swimming,200m breaststroke,"JONES, Leisel",Women,AUS,Australia,W,Silver +Athens,2004,Aquatics,Swimming,100m breaststroke,"JONES, Leisel",Women,AUS,Australia,W,Bronze +Athens,2004,Aquatics,Swimming,200m backstroke,"FLOREA, Razvan Ionut",Men,ROU,Romania,M,Bronze +Athens,2004,Aquatics,Swimming,200m freestyle,"PELLEGRINI, Federica",Women,ITA,Italy,W,Silver +Athens,2004,Aquatics,Swimming,100m butterfly,"SERDINOV, Andriy",Men,UKR,Ukraine,M,Bronze +Athens,2004,Aquatics,Swimming,400m freestyle,"JEDRZEJCZAK, Otylia",Women,POL,Poland,W,Silver +Athens,2004,Aquatics,Swimming,200m breaststroke,"GYURTA, Daniel",Men,HUN,Hungary,M,Silver +Athens,2004,Aquatics,Swimming,100m butterfly,"DE BRUIJN, Inge",Women,NED,Netherlands,W,Bronze +Athens,2004,Aquatics,Swimming,4x100m medley relay,"KITAJIMA, Kosuke",Men,JPN,Japan,M,Bronze +Athens,2004,Aquatics,Swimming,200m butterfly,"NAKANISHI, Yuko",Women,JPN,Japan,W,Bronze +Athens,2004,Aquatics,Swimming,4x200m freestyle relay,"BREMBILLA, Emiliano",Men,ITA,Italy,M,Bronze +Athens,2004,Aquatics,Swimming,4x200m freestyle relay,"LI, Ji",Women,CHN,China,W,Silver +Athens,2004,Aquatics,Swimming,4x100m medley relay,"HANSEN, Brendan",Men,USA,United States,M,Gold +Athens,2004,Aquatics,Swimming,100m backstroke,"ROGAN, Markus",Men,AUT,Austria,M,Silver +Athens,2004,Aquatics,Swimming,800m freestyle,"SHIBATA, Ai",Women,JPN,Japan,W,Gold +Athens,2004,Aquatics,Swimming,4x200m freestyle relay,"STEVENS, Craig",Men,AUS,Australia,M,Silver +Athens,2004,Aquatics,Swimming,800m freestyle,"MUNZ, Diana",Women,USA,United States,W,Bronze +Athens,2004,Aquatics,Swimming,4x200m freestyle relay,"YANG, Yu",Women,CHN,China,W,Silver +Athens,2004,Aquatics,Swimming,4x100m medley relay,"RUPPRATH, Thomas",Men,GER,Germany,M,Silver +Athens,2004,Aquatics,Swimming,50m freestyle,"TRICKETT, Lisbeth",Women,AUS,Australia,W,Bronze +Athens,2004,Aquatics,Swimming,4x200m freestyle relay,"KELLER, Klete",Men,USA,United States,M,Gold +Athens,2004,Aquatics,Swimming,100m freestyle,"THORPE, Ian",Men,AUS,Australia,M,Bronze +Athens,2004,Aquatics,Swimming,4x200m freestyle relay,"COUGHLIN, Natalie",Women,USA,United States,W,Gold +Athens,2004,Aquatics,Swimming,50m freestyle,"DRAGANJA, Duje",Men,CRO,Croatia,M,Silver +Athens,2004,Aquatics,Swimming,400m freestyle,"MANAUDOU, Laure",Women,FRA,France,W,Gold +Athens,2004,Aquatics,Swimming,400m individual medley,"BARDACH, Georgina",Women,ARG,Argentina,W,Bronze +Athens,2004,Aquatics,Swimming,200m freestyle,"THORPE, Ian",Men,AUS,Australia,M,Gold +Athens,2004,Aquatics,Swimming,100m breaststroke,"HANSEN, Brendan",Men,USA,United States,M,Silver +Athens,2004,Aquatics,Swimming,4x100m medley relay,"THOMAS, Petria",Women,AUS,Australia,W,Gold +Athens,2004,Aquatics,Swimming,200m breaststroke,"BEARD, Amanda",Women,USA,United States,W,Gold +Athens,2004,Aquatics,Swimming,4x200m freestyle relay,"CAPPELLAZZO, Federico",Men,ITA,Italy,M,Bronze +Athens,2004,Aquatics,Swimming,1500m freestyle,"JENSEN, Larsen",Men,USA,United States,M,Silver +Athens,2004,Aquatics,Swimming,400m freestyle,"KELLER, Klete",Men,USA,United States,M,Bronze +Athens,2004,Aquatics,Swimming,4x200m freestyle relay,"XU, Yanwei",Women,CHN,China,W,Silver +Athens,2004,Aquatics,Swimming,4x100m freestyle relay,"ZASTROW, Mitja",Men,NED,Netherlands,M,Silver +Athens,2004,Aquatics,Swimming,4x100m freestyle relay,"CROCKER, Ian",Men,USA,United States,M,Bronze +Athens,2004,Aquatics,Swimming,200m breaststroke,"HANSEN, Brendan",Men,USA,United States,M,Bronze +Athens,2004,Aquatics,Swimming,4x200m freestyle relay,"JEFFREY, Rhi",Women,USA,United States,W,Gold +Athens,2004,Aquatics,Swimming,1500m freestyle,"HACKETT, Grant",Men,AUS,Australia,M,Gold +Athens,2004,Aquatics,Swimming,50m freestyle,"DE BRUIJN, Inge",Women,NED,Netherlands,W,Gold +Athens,2004,Aquatics,Swimming,200m freestyle,"PHELPS, Michael",Men,USA,United States,M,Bronze +Athens,2004,Aquatics,Swimming,200m butterfly,"PARRY, Stephen",Men,GBR,United Kingdom,M,Bronze +Athens,2004,Aquatics,Swimming,4x100m freestyle relay,"JOYCE, Kara Lynn",Women,USA,United States,W,Silver +Athens,2004,Aquatics,Swimming,100m freestyle,"SCHOEMAN, Roland",Men,RSA,South Africa,M,Silver +Athens,2004,Aquatics,Swimming,4x100m medley relay,"GOTZ, Daniela",Women,GER,Germany,W,Bronze +Athens,2004,Aquatics,Swimming,4x100m medley relay,"CONRAD, Lars",Men,GER,Germany,M,Silver +Athens,2004,Aquatics,Swimming,4x100m freestyle relay,"KENKHUIS, Johan",Men,NED,Netherlands,M,Silver +Athens,2004,Aquatics,Swimming,4x100m freestyle relay,"HALL, Gary Jr.",Men,USA,United States,M,Bronze +Athens,2004,Aquatics,Swimming,200m butterfly,"THOMAS, Petria",Women,AUS,Australia,W,Silver +Athens,2004,Aquatics,Swimming,100m breaststroke,"HANSON, Brooke",Women,AUS,Australia,W,Silver +Athens,2004,Aquatics,Swimming,4x200m freestyle relay,"DALLMANN, Petra",Women,GER,Germany,W,Bronze +Athens,2004,Aquatics,Swimming,4x100m freestyle relay,"DE BRUIJN, Inge",Women,NED,Netherlands,W,Bronze +Athens,2004,Aquatics,Swimming,4x200m freestyle relay,"CERCATO, Simone",Men,ITA,Italy,M,Bronze +Athens,2004,Aquatics,Swimming,4x100m freestyle relay,"WEIR, Amanda",Women,USA,United States,W,Silver +Athens,2004,Aquatics,Swimming,4x100m freestyle relay,"COUGHLIN, Natalie",Women,USA,United States,W,Silver +Athens,2004,Aquatics,Swimming,4x100m medley relay,"KRAYZELBURG, Lenny",Men,USA,United States,M,Gold +Athens,2004,Aquatics,Swimming,4x100m freestyle relay,"HENRY, Jodie",Women,AUS,Australia,W,Gold +Athens,2004,Aquatics,Swimming,200m individual medley,"BOVELL, George",Men,TRI,Trinidad and Tobago,M,Bronze +Athens,2004,Aquatics,Swimming,4x200m freestyle relay,"KLIM, Michael",Men,AUS,Australia,M,Silver +Athens,2004,Aquatics,Swimming,4x100m medley relay,"ROONEY, Giaan",Women,AUS,Australia,W,Gold +Athens,2004,Aquatics,Swimming,4x100m freestyle relay,"CORREIA, Maritza",Women,USA,United States,W,Silver +Athens,2004,Aquatics,Swimming,100m freestyle,"DE BRUIJN, Inge",Women,NED,Netherlands,W,Silver +Athens,2004,Aquatics,Swimming,4x200m freestyle relay,"BENKO, Lindsay",Women,USA,United States,W,Gold +Athens,2004,Aquatics,Swimming,4x100m medley relay,"KIRK, Tara",Women,USA,United States,W,Silver +Athens,2004,Aquatics,Swimming,4x200m freestyle relay,"STOCKBAUER, Hannah",Women,GER,Germany,W,Bronze +Athens,2004,Aquatics,Swimming,4x200m freestyle relay,"SANDENO, Kaitlin",Women,USA,United States,W,Gold +Athens,2004,Aquatics,Swimming,4x100m medley relay,"LEZAK, Jason",Men,USA,United States,M,Gold +Athens,2004,Aquatics,Swimming,4x100m freestyle relay,"KOSTEN, Annabel",Women,NED,Netherlands,W,Bronze +Athens,2004,Aquatics,Swimming,400m individual medley,"SANDENO, Kaitlin",Women,USA,United States,W,Silver +Athens,2004,Aquatics,Swimming,4x200m freestyle relay,"PEARSON, Todd",Men,AUS,Australia,M,Silver +Athens,2004,Aquatics,Swimming,100m breaststroke,"KITAJIMA, Kosuke",Men,JPN,Japan,M,Gold +Athens,2004,Aquatics,Swimming,4x200m freestyle relay,"VANDERKAAY, Peter",Men,USA,United States,M,Gold +Athens,2004,Aquatics,Swimming,1500m freestyle,"DAVIES, David",Men,GBR,United Kingdom,M,Bronze +Athens,2004,Aquatics,Swimming,4x200m freestyle relay,"ROSOLINO, Massimiliano",Men,ITA,Italy,M,Bronze +Athens,2004,Aquatics,Swimming,4x100m medley relay,"PEIRSOL, Aaron",Men,USA,United States,M,Gold +Athens,2004,Aquatics,Swimming,400m individual medley,"CSEH, Laszlo",Men,HUN,Hungary,M,Bronze +Athens,2004,Aquatics,Swimming,4x100m medley relay,"HANSON, Brooke",Women,AUS,Australia,W,Gold +Athens,2004,Aquatics,Swimming,4x100m freestyle relay,"LANNE, Colleen",Women,USA,United States,W,Silver +Athens,2004,Aquatics,Synchronized S.,team,"ZANOTTO, Kendra",Women,USA,United States,W,Bronze +Athens,2004,Aquatics,Synchronized S.,team,"BRUSNIKINA, Olga",Women,RUS,Russia,W,Gold +Athens,2004,Aquatics,Synchronized S.,team,"SUZUKI, Emiko",Women,JPN,Japan,W,Silver +Athens,2004,Aquatics,Synchronized S.,team,"SHORINA, Anna",Women,RUS,Russia,W,Gold +Athens,2004,Aquatics,Synchronized S.,team,"BARTOSIK, Alison",Women,USA,United States,W,Bronze +Athens,2004,Aquatics,Synchronized S.,team,"KISSELEVA, Maria",Women,RUS,Russia,W,Gold +Athens,2004,Aquatics,Synchronized S.,team,"FUJIMARU, Michiyo",Women,JPN,Japan,W,Silver +Athens,2004,Aquatics,Synchronized S.,team,"JASONTEK, Rebecca",Women,USA,United States,W,Bronze +Athens,2004,Aquatics,Synchronized S.,team,"MCFALL, Lauren",Women,USA,United States,W,Bronze +Athens,2004,Aquatics,Synchronized S.,duet,"ERMAKOVA, Anastasia",Women,RUS,Russia,W,Gold +Athens,2004,Aquatics,Synchronized S.,team,"GROMOVA, Maria",Women,RUS,Russia,W,Gold +Athens,2004,Aquatics,Synchronized S.,duet,"TACHIBANA, Miya",Women,JPN,Japan,W,Silver +Athens,2004,Aquatics,Synchronized S.,team,"DAVYDOVA, Anastasia",Women,RUS,Russia,W,Gold +Athens,2004,Aquatics,Synchronized S.,duet,"BARTOSIK, Alison",Women,USA,United States,W,Bronze +Athens,2004,Aquatics,Synchronized S.,team,"LOWE, Sara",Women,USA,United States,W,Bronze +Athens,2004,Aquatics,Synchronized S.,team,"KITAO, Kanako",Women,JPN,Japan,W,Silver +Athens,2004,Aquatics,Synchronized S.,team,"HARADA, Saho",Women,JPN,Japan,W,Silver +Athens,2004,Aquatics,Synchronized S.,team,"TATSUMI, Juri",Women,JPN,Japan,W,Silver +Athens,2004,Aquatics,Synchronized S.,team,"DOBRATZ, Erin",Women,USA,United States,W,Bronze +Athens,2004,Aquatics,Synchronized S.,team,"KHASYANOVA, Elvira",Women,RUS,Russia,W,Gold +Athens,2004,Aquatics,Synchronized S.,team,"NOVOKSHCHENOVA, Olga",Women,RUS,Russia,W,Gold +Athens,2004,Aquatics,Synchronized S.,team,"TACHIBANA, Miya",Women,JPN,Japan,W,Silver +Athens,2004,Aquatics,Synchronized S.,team,"KAWASHIMA, Naoko",Women,JPN,Japan,W,Silver +Athens,2004,Aquatics,Synchronized S.,team,"CROW, Tamara",Women,USA,United States,W,Bronze +Athens,2004,Aquatics,Synchronized S.,duet,"DAVYDOVA, Anastasia",Women,RUS,Russia,W,Gold +Athens,2004,Aquatics,Synchronized S.,team,"YONEDA, Yoko",Women,JPN,Japan,W,Silver +Athens,2004,Aquatics,Synchronized S.,duet,"KOZLOVA, Anna",Women,USA,United States,W,Bronze +Athens,2004,Aquatics,Synchronized S.,team,"AZAROVA, Elena",Women,RUS,Russia,W,Gold +Athens,2004,Aquatics,Synchronized S.,duet,"TAKEDA, Miho",Women,JPN,Japan,W,Silver +Athens,2004,Aquatics,Synchronized S.,team,"TAKEDA, Miho",Women,JPN,Japan,W,Silver +Athens,2004,Aquatics,Synchronized S.,team,"NESBITT, Stephanie",Women,USA,United States,W,Bronze +Athens,2004,Aquatics,Synchronized S.,team,"KOZLOVA, Anna",Women,USA,United States,W,Bronze +Athens,2004,Aquatics,Synchronized S.,team,"ERMAKOVA, Anastasia",Women,RUS,Russia,W,Gold +Athens,2004,Aquatics,Water polo,water polo,"CIRIC, Aleksandar",Men,SCG,Serbia,M,Silver +Athens,2004,Aquatics,Water polo,water polo,"VILLA, Brenda",Women,USA,United States,W,Bronze +Athens,2004,Aquatics,Water polo,water polo,"MICELI, Martina",Women,ITA,Italy,W,Gold +Athens,2004,Aquatics,Water polo,water polo,"BOSURGI, Silvia",Women,ITA,Italy,W,Gold +Athens,2004,Aquatics,Water polo,water polo,"BALASHOV, Roman",Men,RUS,Russia,M,Bronze +Athens,2004,Aquatics,Water polo,water polo,"SAVIC, Dejan",Men,SCG,Serbia,M,Silver +Athens,2004,Aquatics,Water polo,water polo,"NIKIC, Slobodan",Men,SCG,Serbia,M,Silver +Athens,2004,Aquatics,Water polo,water polo,"GIGLI, Elena",Women,ITA,Italy,W,Gold +Athens,2004,Aquatics,Water polo,water polo,"TOTH, Noemi",Women,ITA,Italy,W,Gold +Athens,2004,Aquatics,Water polo,water polo,"MADARAS, Norbert",Men,HUN,Hungary,M,Gold +Athens,2004,Aquatics,Water polo,water polo,"OIKONOMOPOULOU, Aikaterini",Women,GRE,Greece,W,Silver +Athens,2004,Aquatics,Water polo,water polo,"MYLONAKI, Anthoula",Women,GRE,Greece,W,Silver +Athens,2004,Aquatics,Water polo,water polo,"LARA, Georgia",Women,GRE,Greece,W,Silver +Athens,2004,Aquatics,Water polo,water polo,"VARI, Attila",Men,HUN,Hungary,M,Gold +Athens,2004,Aquatics,Water polo,water polo,"MORAITIDOU, Evangelia",Women,GRE,Greece,W,Silver +Athens,2004,Aquatics,Water polo,water polo,"MOODY, Heather",Women,USA,United States,W,Bronze +Athens,2004,Aquatics,Water polo,water polo,"STEINMETZ, Adam",Men,HUN,Hungary,M,Gold +Athens,2004,Aquatics,Water polo,water polo,"KOZLOV, Nikolai",Men,RUS,Russia,M,Bronze +Athens,2004,Aquatics,Water polo,water polo,"GOLDA, Natalie",Women,USA,United States,W,Bronze +Athens,2004,Aquatics,Water polo,water polo,"FRANK, Jacqueline",Women,USA,United States,W,Bronze +Athens,2004,Aquatics,Water polo,water polo,"ERYSHOV, Alexandre",Men,RUS,Russia,M,Bronze +Athens,2004,Aquatics,Water polo,water polo,"UDOVICIC, Vanja",Men,SCG,Serbia,M,Silver +Athens,2004,Aquatics,Water polo,water polo,"MUNRO, Thalia",Women,USA,United States,W,Bronze +Athens,2004,Aquatics,Water polo,water polo,"GORSHKOV, Dmitry",Men,RUS,Russia,M,Bronze +Athens,2004,Aquatics,Water polo,water polo,"KULJACA, Nikola",Men,SCG,Serbia,M,Silver +Athens,2004,Aquatics,Water polo,water polo,"STRATAN, Dmitry",Men,RUS,Russia,M,Bronze +Athens,2004,Aquatics,Water polo,water polo,"ROUMPESI, Antigoni",Women,GRE,Greece,W,Silver +Athens,2004,Aquatics,Water polo,water polo,"FEDOROV, Alexander",Men,RUS,Russia,M,Bronze +Athens,2004,Aquatics,Water polo,water polo,"DI MARIO, Tania",Women,ITA,Italy,W,Gold +Athens,2004,Aquatics,Water polo,water polo,"BEAUREGARD, Robin",Women,USA,United States,W,Bronze +Athens,2004,Aquatics,Water polo,water polo,"KARAGIANNI, Eftychia",Women,GRE,Greece,W,Silver +Athens,2004,Aquatics,Water polo,water polo,"RAGUSA, Cinzia",Women,ITA,Italy,W,Gold +Athens,2004,Aquatics,Water polo,water polo,"MUSUMECI, Maddalena",Women,ITA,Italy,W,Gold +Athens,2004,Aquatics,Water polo,water polo,"CHOMAKHIDZE, Revaz",Men,RUS,Russia,M,Bronze +Athens,2004,Aquatics,Water polo,water polo,"JELENIC, Viktor",Men,SCG,Serbia,M,Silver +Athens,2004,Aquatics,Water polo,water polo,"GARBOUZOV, Serguei",Men,RUS,Russia,M,Bronze +Athens,2004,Aquatics,Water polo,water polo,"MALATO, Giusy",Women,ITA,Italy,W,Gold +Athens,2004,Aquatics,Water polo,water polo,"MOLNAR, Tamas",Men,HUN,Hungary,M,Gold +Athens,2004,Aquatics,Water polo,water polo,"ALLUCCI, Carmela",Women,ITA,Italy,W,Gold +Athens,2004,Aquatics,Water polo,water polo,"SEFIK, Denis",Men,SCG,Serbia,M,Silver +Athens,2004,Aquatics,Water polo,water polo,"LORENZ, Ericka",Women,USA,United States,W,Bronze +Athens,2004,Aquatics,Water polo,water polo,"MORAITI, Antonia",Women,GRE,Greece,W,Silver +Athens,2004,Aquatics,Water polo,water polo,"GOJKOVIC, Vladimir",Men,SCG,Serbia,M,Silver +Athens,2004,Aquatics,Water polo,water polo,"TRBOJEVIC, Petar",Men,SCG,Serbia,M,Silver +Athens,2004,Aquatics,Water polo,water polo,"ESTES, Ellen",Women,USA,United States,W,Bronze +Athens,2004,Aquatics,Water polo,water polo,"DINGELDEIN, Margaret",Women,USA,United States,W,Bronze +Athens,2004,Aquatics,Water polo,water polo,"STEINMETZ, Barnabas",Men,HUN,Hungary,M,Gold +Athens,2004,Aquatics,Water polo,water polo,"BENEDEK, Tibor",Men,HUN,Hungary,M,Gold +Athens,2004,Aquatics,Water polo,water polo,"SAPIC, Aleksandar",Men,SCG,Serbia,M,Silver +Athens,2004,Aquatics,Water polo,water polo,"FODOR, Rajmund",Men,HUN,Hungary,M,Gold +Athens,2004,Aquatics,Water polo,water polo,"ZAKIROV, Marat",Men,RUS,Russia,M,Bronze +Athens,2004,Aquatics,Water polo,water polo,"SZECSI, Zoltan",Men,HUN,Hungary,M,Gold +Athens,2004,Aquatics,Water polo,water polo,"VARGA, Tamas",Men,HUN,Hungary,M,Gold +Athens,2004,Aquatics,Water polo,water polo,"ZANCHI, Manuela",Women,ITA,Italy,W,Gold +Athens,2004,Aquatics,Water polo,water polo,"MAKSIMOV, Nikolay",Men,RUS,Russia,M,Bronze +Athens,2004,Aquatics,Water polo,water polo,"STACHOWSKI, Amber",Women,USA,United States,W,Bronze +Athens,2004,Aquatics,Water polo,water polo,"CONTI, Francesca",Women,ITA,Italy,W,Gold +Athens,2004,Aquatics,Water polo,water polo,"GREGO, Melania",Women,ITA,Italy,W,Gold +Athens,2004,Aquatics,Water polo,water polo,"REKETCHINSKI, Andrei",Men,RUS,Russia,M,Bronze +Athens,2004,Aquatics,Water polo,water polo,"IKODINOVIC, Danilo",Men,SCG,Serbia,M,Silver +Athens,2004,Aquatics,Water polo,water polo,"YURCHIK, Vitaly",Men,RUS,Russia,M,Bronze +Athens,2004,Aquatics,Water polo,water polo,"GERGELY, Istvan",Men,HUN,Hungary,M,Gold +Athens,2004,Aquatics,Water polo,water polo,"PETRI, Heather",Women,USA,United States,W,Bronze +Athens,2004,Aquatics,Water polo,water polo,"JOKIC, Predrag",Men,SCG,Serbia,M,Silver +Athens,2004,Aquatics,Water polo,water polo,"RULON, Kelly",Women,USA,United States,W,Bronze +Athens,2004,Aquatics,Water polo,water polo,"PAYNE, Nicolle",Women,USA,United States,W,Bronze +Athens,2004,Aquatics,Water polo,water polo,"ASILIAN, Dimitra",Women,GRE,Greece,W,Silver +Athens,2004,Aquatics,Water polo,water polo,"ZINNUROV, Irek",Men,RUS,Russia,M,Bronze +Athens,2004,Aquatics,Water polo,water polo,"KISS, Gergely",Men,HUN,Hungary,M,Gold +Athens,2004,Aquatics,Water polo,water polo,"BIROS, Peter",Men,HUN,Hungary,M,Gold +Athens,2004,Aquatics,Water polo,water polo,"KOZOMPOLI, Stavroula",Women,GRE,Greece,W,Silver +Athens,2004,Aquatics,Water polo,water polo,"MELIDONI, Aniopi",Women,GRE,Greece,W,Silver +Athens,2004,Aquatics,Water polo,water polo,"ELLINAKI, Georgia",Women,GRE,Greece,W,Silver +Athens,2004,Aquatics,Water polo,water polo,"KASAS, Tamas",Men,HUN,Hungary,M,Gold +Athens,2004,Aquatics,Water polo,water polo,"LIOSI, Kyriaki",Women,GRE,Greece,W,Silver +Athens,2004,Aquatics,Water polo,water polo,"KARAPATAKI, Angeliki",Women,GRE,Greece,W,Silver +Athens,2004,Aquatics,Water polo,water polo,"VUJASINOVIC, Vladimir",Men,SCG,Serbia,M,Silver +Athens,2004,Aquatics,Water polo,water polo,"ARAUJO, Alexandra",Women,ITA,Italy,W,Gold +Athens,2004,Archery,Archery,individual (FITA Olympic round - 70m),"YAMAMOTO, Hiroshi",Men,JPN,Japan,M,Silver +Athens,2004,Archery,Archery,team (FITA Olympic round - 70m),"PARK, Sung-Hyun",Women,KOR,"Korea, South",W,Gold +Athens,2004,Archery,Archery,team (FITA Olympic round - 70m),"CHEN, Szu Yuan",Men,TPE,Taiwan,M,Silver +Athens,2004,Archery,Archery,team (FITA Olympic round - 70m),"LIN, Sang",Women,CHN,China,W,Silver +Athens,2004,Archery,Archery,team (FITA Olympic round - 70m),"IM, Dong Hyun",Men,KOR,"Korea, South",M,Gold +Athens,2004,Archery,Archery,individual (FITA Olympic round - 70m),"PARK, Sung-Hyun",Women,KOR,"Korea, South",W,Gold +Athens,2004,Archery,Archery,team (FITA Olympic round - 70m),"YUAN, Shu Chi",Women,TPE,Taiwan,W,Bronze +Athens,2004,Archery,Archery,team (FITA Olympic round - 70m),"SERDYUK, Oleksandr",Men,UKR,Ukraine,M,Bronze +Athens,2004,Archery,Archery,team (FITA Olympic round - 70m),"HRACHOV, Dmytro",Men,UKR,Ukraine,M,Bronze +Athens,2004,Archery,Archery,individual (FITA Olympic round - 70m),"GALIAZZO, Marco",Men,ITA,Italy,M,Gold +Athens,2004,Archery,Archery,team (FITA Olympic round - 70m),"HE, Ying",Women,CHN,China,W,Silver +Athens,2004,Archery,Archery,team (FITA Olympic round - 70m),"JANG, Yong-Ho",Men,KOR,"Korea, South",M,Gold +Athens,2004,Archery,Archery,team (FITA Olympic round - 70m),"RUBAN, Viktor",Men,UKR,Ukraine,M,Bronze +Athens,2004,Archery,Archery,team (FITA Olympic round - 70m),"LIU, Ming Huang",Men,TPE,Taiwan,M,Silver +Athens,2004,Archery,Archery,team (FITA Olympic round - 70m),"PARK, Kyung Mo",Men,KOR,"Korea, South",M,Gold +Athens,2004,Archery,Archery,team (FITA Olympic round - 70m),"CHEN, Li Ju",Women,TPE,Taiwan,W,Bronze +Athens,2004,Archery,Archery,team (FITA Olympic round - 70m),"WU, Hui Ju",Women,TPE,Taiwan,W,Bronze +Athens,2004,Archery,Archery,team (FITA Olympic round - 70m),"YUN, Mi-Jin",Women,KOR,"Korea, South",W,Gold +Athens,2004,Archery,Archery,team (FITA Olympic round - 70m),"ZHANG, Juan Juan",Women,CHN,China,W,Silver +Athens,2004,Archery,Archery,team (FITA Olympic round - 70m),"LEE, Sung Jin",Women,KOR,"Korea, South",W,Gold +Athens,2004,Archery,Archery,individual (FITA Olympic round - 70m),"LEE, Sung Jin",Women,KOR,"Korea, South",W,Silver +Athens,2004,Archery,Archery,team (FITA Olympic round - 70m),"WANG, Cheng Pang",Men,TPE,Taiwan,M,Silver +Athens,2004,Archery,Archery,individual (FITA Olympic round - 70m),"WILLIAMSON, Alison",Women,GBR,United Kingdom,W,Bronze +Athens,2004,Archery,Archery,individual (FITA Olympic round - 70m),"CUDDIHY, Tim",Men,AUS,Australia,M,Bronze +Athens,2004,Athletics,Athletics,1500m,"CIONCAN, Maria",Women,ROU,Romania,W,Bronze +Athens,2004,Athletics,Athletics,long jump,"SIMAGINA, Irina",Women,RUS,Russia,W,Silver +Athens,2004,Athletics,Athletics,100m,"WILLIAMS, Lauryn",Women,USA,United States,W,Silver +Athens,2004,Athletics,Athletics,hammer throw,"KUZENKOVA, Olga",Women,RUS,Russia,W,Gold +Athens,2004,Athletics,Athletics,50km walk,"KORZENIOWSKI, Robert",Men,POL,Poland,M,Gold +Athens,2004,Athletics,Athletics,4x400m relay,"HENDERSON, Monique",Women,USA,United States,W,Gold +Athens,2004,Athletics,Athletics,200m,"FERGUSON-MCKENZIE, Debbie",Women,BAH,Bahamas,W,Bronze +Athens,2004,Athletics,Athletics,4x100m relay,"FYODOROVA, Olga",Women,RUS,Russia,W,Silver +Athens,2004,Athletics,Athletics,hammer throw,"MUROFUSHI, Koji",Men,JPN,Japan,M,Gold +Athens,2004,Athletics,Athletics,4x100m relay,"LAWRENCE, Tanya",Women,JAM,Jamaica,W,Gold +Athens,2004,Athletics,Athletics,triple jump,"OLSSON, Christian",Men,SWE,Sweden,M,Gold +Athens,2004,Athletics,Athletics,4x400m relay,"ZYKINA, Olesya",Women,RUS,Russia,W,Silver +Athens,2004,Athletics,Athletics,4x100m relay,"EGBELE, Aaron",Men,NGR,Nigeria,M,Bronze +Athens,2004,Athletics,Athletics,marathon,"DE LIMA, Vanderlei",Men,BRA,Brazil,M,Bronze +Athens,2004,Athletics,Athletics,3000m steeplechase,"KOECH, Paul Kipsiele",Men,KEN,Kenya,M,Bronze +Athens,2004,Athletics,Athletics,100m hurdles,"KRASOVSKA, Olena",Women,UKR,Ukraine,W,Silver +Athens,2004,Athletics,Athletics,100m,"GREENE, Maurice",Men,USA,United States,M,Bronze +Athens,2004,Athletics,Athletics,50km walk,"VOYEVODIN, Aleksey",Men,RUS,Russia,M,Bronze +Athens,2004,Athletics,Athletics,hammer throw,"TIKHON, Ivan",Men,BLR,Belarus,M,Silver +Athens,2004,Athletics,Athletics,4x400m relay,"KRASNOMOVETS, Olesya",Women,RUS,Russia,W,Silver +Athens,2004,Athletics,Athletics,4x400m relay,"WILLIAMS, Novelene",Women,JAM,Jamaica,W,Bronze +Athens,2004,Athletics,Athletics,pole vault,"ROGOWSKA, Anna",Women,POL,Poland,W,Bronze +Athens,2004,Athletics,Athletics,discus throw,"KOVAGO, Zoltan",Men,HUN,Hungary,M,Silver +Athens,2004,Athletics,Athletics,4x400m relay,"BREW, Derrick",Men,USA,United States,M,Gold +Athens,2004,Athletics,Athletics,100m hurdles,"HAYES, Joanna",Women,USA,United States,W,Gold +Athens,2004,Athletics,Athletics,3000m steeplechase,"KEMBOI, Ezekiel",Men,KEN,Kenya,M,Gold +Athens,2004,Athletics,Athletics,4x400m relay,"IVANOVA, Natalya",Women,RUS,Russia,W,Silver +Athens,2004,Athletics,Athletics,shot put,"KLEINERT, Nadine",Women,GER,Germany,W,Silver +Athens,2004,Athletics,Athletics,long jump,"LEBEDEVA, Tatyana",Women,RUS,Russia,W,Gold +Athens,2004,Athletics,Athletics,pole vault,"ISINBAEVA, Elena",Women,RUS,Russia,W,Gold +Athens,2004,Athletics,Athletics,4x100m relay,"LEWIS-FRANCIS, Mark",Men,GBR,United Kingdom,M,Gold +Athens,2004,Athletics,Athletics,800m,"MULAUDZI, Mbulaeni",Men,RSA,South Africa,M,Silver +Athens,2004,Athletics,Athletics,100m,"OBIKWELU, Francis",Men,POR,Portugal,M,Silver +Athens,2004,Athletics,Athletics,200m,"FELIX, Allyson",Women,USA,United States,W,Silver +Athens,2004,Athletics,Athletics,4x100m relay,"ARRON, Christine",Women,FRA,France,W,Bronze +Athens,2004,Athletics,Athletics,hammer throw,"APAK, Esref",Men,TUR,Turkey,M,Bronze +Athens,2004,Athletics,Athletics,400m,"WARINER, Jeremy",Men,USA,United States,M,Gold +Athens,2004,Athletics,Athletics,4x400m relay,"WEIGOPWA, Saul",Men,NGR,Nigeria,M,Bronze +Athens,2004,Athletics,Athletics,5000m,"DEFAR, Meseret",Women,ETH,Ethiopia,W,Gold +Athens,2004,Athletics,Athletics,4x400m relay,"AUDU, Musa",Men,NGR,Nigeria,M,Bronze +Athens,2004,Athletics,Athletics,4x100m relay,"GARDENER, Jason",Men,GBR,United Kingdom,M,Gold +Athens,2004,Athletics,Athletics,800m,"CEPLAK, Jolanda",Women,SLO,Slovenia,W,Bronze +Athens,2004,Athletics,Athletics,4x400m relay,"WILLIAMSON, Darold",Men,USA,United States,M,Gold +Athens,2004,Athletics,Athletics,4x400m relay,"STEFFENSEN, John",Men,AUS,Australia,M,Silver +Athens,2004,Athletics,Athletics,heptathlon,"SOTHERTON, Kelly",Women,GBR,United Kingdom,W,Bronze +Athens,2004,Athletics,Athletics,triple jump,"MBANGO ETONE, Francoise",Women,CMR,Cameroon,W,Gold +Athens,2004,Athletics,Athletics,4x400m relay,"ROCK, Andrew",Men,AUS,Australia,M,Silver +Athens,2004,Athletics,Athletics,400m hurdles,"CHALKIA, Fani",Women,GRE,Greece,W,Gold +Athens,2004,Athletics,Athletics,5000m,"DIBABA, Tirunesh",Women,ETH,Ethiopia,W,Bronze +Athens,2004,Athletics,Athletics,discus throw,"KELESIDOU, Anastasia",Women,GRE,Greece,W,Silver +Athens,2004,Athletics,Athletics,800m,"BENHASSI, Hasna",Women,MAR,Morocco,W,Silver +Athens,2004,Athletics,Athletics,4x100m relay,"KHABAROVA, Irina",Women,RUS,Russia,W,Silver +Athens,2004,Athletics,Athletics,4x100m relay,"SIMPSON, Sherone",Women,JAM,Jamaica,W,Gold +Athens,2004,Athletics,Athletics,4x100m relay,"DEVONISH, Marlon",Men,GBR,United Kingdom,M,Gold +Athens,2004,Athletics,Athletics,10000m,"SIHINE, Sileshi",Men,ETH,Ethiopia,M,Silver +Athens,2004,Athletics,Athletics,decathlon,"KARPOV, Dmitriy",Men,KAZ,Kazakhstan,M,Bronze +Athens,2004,Athletics,Athletics,4x400m relay,"HENNAGAN, Monique",Women,USA,United States,W,Gold +Athens,2004,Athletics,Athletics,4x100m relay,"CAMPBELL-BROWN, Veronica",Women,JAM,Jamaica,W,Gold +Athens,2004,Athletics,Athletics,4x100m relay,"CRAWFORD, Shawn",Men,USA,United States,M,Silver +Athens,2004,Athletics,Athletics,pole vault,"FEOFANOVA, Svetlana",Women,RUS,Russia,W,Silver +Athens,2004,Athletics,Athletics,pole vault,"STEVENSON, Toby",Men,USA,United States,M,Silver +Athens,2004,Athletics,Athletics,1500m,"HOLMES, Kelly",Women,GBR,United Kingdom,W,Gold +Athens,2004,Athletics,Athletics,4x100m relay,"HURTIS-HOUAIRI, Muriel",Women,FRA,France,W,Bronze +Athens,2004,Athletics,Athletics,800m,"BORZAKOVSKIY, Yuriy",Men,RUS,Russia,M,Gold +Athens,2004,Athletics,Athletics,5000m,"BEKELE, Kenenisa",Men,ETH,Ethiopia,M,Silver +Athens,2004,Athletics,Athletics,400m hurdles,"SANCHEZ, Felix",Men,DOM,Dominican Republic,M,Gold +Athens,2004,Athletics,Athletics,400m,"WILLIAMS-DARLING, Tonique",Women,BAH,Bahamas,W,Gold +Athens,2004,Athletics,Athletics,4x400m relay,"ORMROD, Mark",Men,AUS,Australia,M,Silver +Athens,2004,Athletics,Athletics,100m hurdles,"MORRISON, Melissa",Women,USA,United States,W,Bronze +Athens,2004,Athletics,Athletics,4x400m relay,"HILL, Clinton",Men,AUS,Australia,M,Silver +Athens,2004,Athletics,Athletics,50km walk,"NIZHEGORODOV, Denis",Men,RUS,Russia,M,Silver +Athens,2004,Athletics,Athletics,4x400m relay,"UDO OBONG, Enefiok",Men,NGR,Nigeria,M,Bronze +Athens,2004,Athletics,Athletics,high jump,"HEMINGWAY, Matt",Men,USA,United States,M,Silver +Athens,2004,Athletics,Athletics,10000m,"BEKELE, Kenenisa",Men,ETH,Ethiopia,M,Gold +Athens,2004,Athletics,Athletics,200m,"CRAWFORD, Shawn",Men,USA,United States,M,Gold +Athens,2004,Athletics,Athletics,discus throw,"SADOVA, Natalya",Women,RUS,Russia,W,Gold +Athens,2004,Athletics,Athletics,marathon,"KASTOR, Deena",Women,USA,United States,W,Bronze +Athens,2004,Athletics,Athletics,4x100m relay,"ALIU, Deji",Men,NGR,Nigeria,M,Bronze +Athens,2004,Athletics,Athletics,javelin throw,"NERIUS, Steffi",Women,GER,Germany,W,Silver +Athens,2004,Athletics,Athletics,110m hurdles,"TRAMMELL, Terrence",Men,USA,United States,M,Silver +Athens,2004,Athletics,Athletics,400m hurdles,"TERESHCHUK-ANTIPOVA, Tetiana",Women,UKR,Ukraine,W,Bronze +Athens,2004,Athletics,Athletics,110m hurdles,"GARCIA, Anier",Men,CUB,Cuba,M,Bronze +Athens,2004,Athletics,Athletics,hammer throw,"CRAWFORD, Yunaika",Women,CUB,Cuba,W,Bronze +Athens,2004,Athletics,Athletics,4x100m relay,"MILLER, Coby",Men,USA,United States,M,Silver +Athens,2004,Athletics,Athletics,1500m,"SILVA, Rui",Men,POR,Portugal,M,Bronze +Athens,2004,Athletics,Athletics,1500m,"EL GUERROUJ, Hicham",Men,MAR,Morocco,M,Gold +Athens,2004,Athletics,Athletics,shot put,"CUMBA, Yumileidi",Women,CUB,Cuba,W,Gold +Athens,2004,Athletics,Athletics,20km walk,"BRUGNETTI, Ivano",Men,ITA,Italy,M,Gold +Athens,2004,Athletics,Athletics,5000m,"EL GUERROUJ, Hicham",Men,MAR,Morocco,M,Gold +Athens,2004,Athletics,Athletics,triple jump,"BURKENYA, Danila",Men,RUS,Russia,M,Bronze +Athens,2004,Athletics,Athletics,shot put,"BILONOG, Yuriy",Men,UKR,Ukraine,M,Gold +Athens,2004,Athletics,Athletics,long jump,"PHILLIPS, Dwight",Men,USA,United States,M,Gold +Athens,2004,Athletics,Athletics,4x400m relay,"GODDAY, James",Men,NGR,Nigeria,M,Bronze +Athens,2004,Athletics,Athletics,4x400m relay,"FIROVA, Tatyana",Women,RUS,Russia,W,Silver +Athens,2004,Athletics,Athletics,decathlon,"SEBRLE, Roman",Men,CZE,Czech Republic,M,Gold +Athens,2004,Athletics,Athletics,20km walk,"DEAKES, Nathan",Men,AUS,Australia,M,Bronze +Athens,2004,Athletics,Athletics,20km walk,"FERNANDEZ, Francisco Javier",Men,ESP,Spain,M,Silver +Athens,2004,Athletics,Athletics,4x400m relay,"WILLIE, Kelly",Men,USA,United States,M,Gold +Athens,2004,Athletics,Athletics,100m,"CAMPBELL-BROWN, Veronica",Women,JAM,Jamaica,W,Bronze +Athens,2004,Athletics,Athletics,long jump,"MOFFITT, John",Men,USA,United States,M,Silver +Athens,2004,Athletics,Athletics,javelin throw,"THORKILDSEN, Andreas",Men,NOR,Norway,M,Gold +Athens,2004,Athletics,Athletics,4x400m relay,"NAZAROVA, Natalya",Women,RUS,Russia,W,Silver +Athens,2004,Athletics,Athletics,4x100m relay,"MCDONALD, Beverly",Women,JAM,Jamaica,W,Gold +Athens,2004,Athletics,Athletics,1500m,"LAGAT, Bernard",Men,KEN,Kenya,M,Silver +Athens,2004,Athletics,Athletics,marathon,"KEFLEZIGHI, Mebrahtom",Men,USA,United States,M,Silver +Athens,2004,Athletics,Athletics,triple jump,"DEVETZI, Hrysopiyi",Women,GRE,Greece,W,Silver +Athens,2004,Athletics,Athletics,4x100m relay,"FELIX, Sylviane",Women,FRA,France,W,Bronze +Athens,2004,Athletics,Athletics,long jump,"MARTINEZ, Joan Lino",Men,ESP,Spain,M,Bronze +Athens,2004,Athletics,Athletics,javelin throw,"MAKAROV, Sergey",Men,RUS,Russia,M,Bronze +Athens,2004,Athletics,Athletics,4x400m relay,"DWYER, Patrick",Men,AUS,Australia,M,Silver +Athens,2004,Athletics,Athletics,10000m,"TADESSE, Zersenay",Men,ERI,Eritrea,M,Bronze +Athens,2004,Athletics,Athletics,pole vault,"MACK, Timothy",Men,USA,United States,M,Gold +Athens,2004,Athletics,Athletics,10000m,"DIBABA, Ejegayehu",Women,ETH,Ethiopia,W,Silver +Athens,2004,Athletics,Athletics,discus throw,"YATCHENKO, Iryna",Women,BLR,Belarus,W,Bronze +Athens,2004,Athletics,Athletics,marathon,"BALDINI, Stefano",Men,ITA,Italy,M,Gold +Athens,2004,Athletics,Athletics,triple jump,"OPREA, Marian",Men,ROU,Romania,M,Silver +Athens,2004,Athletics,Athletics,20km race walk,"TSOUMELEKA, Athanasia",Women,GRE,Greece,W,Gold +Athens,2004,Athletics,Athletics,1500m,"TOMASHEVA, Tatyana",Women,RUS,Russia,W,Silver +Athens,2004,Athletics,Athletics,decathlon,"CLAY, Bryan",Men,USA,United States,M,Silver +Athens,2004,Athletics,Athletics,4x400m relay,"RICHARDS, Sandie",Women,JAM,Jamaica,W,Bronze +Athens,2004,Athletics,Athletics,javelin throw,"MANIANI-TZELILI, Mirella",Women,GRE,Greece,W,Bronze +Athens,2004,Athletics,Athletics,400m hurdles,"TIRLEA-MANOLACHE, Ionela",Women,ROU,Romania,W,Silver +Athens,2004,Athletics,Athletics,4x100m relay,"CAMPBELL, Darren",Men,GBR,United Kingdom,M,Gold +Athens,2004,Athletics,Athletics,4x400m relay,"ROBINSON, Moushaumi",Women,USA,United States,W,Gold +Athens,2004,Athletics,Athletics,10000m,"XING, Huina",Women,CHN,China,W,Gold +Athens,2004,Athletics,Athletics,400m hurdles,"MCFARLANE, Danny",Men,JAM,Jamaica,M,Silver +Athens,2004,Athletics,Athletics,4x400m relay,"RICHARDS, Sanya",Women,USA,United States,W,Gold +Athens,2004,Athletics,Athletics,4x400m relay,"COX, Crystal",Women,USA,United States,W,Gold +Athens,2004,Athletics,Athletics,4x400m relay,"ANTYUKH, Natalya",Women,RUS,Russia,W,Silver +Athens,2004,Athletics,Athletics,4x400m relay,"SMITH, Ronetta",Women,JAM,Jamaica,W,Bronze +Athens,2004,Athletics,Athletics,heptathlon,"KLUFT, Carolina",Women,SWE,Sweden,W,Gold +Athens,2004,Athletics,Athletics,4x100m relay,"GATLIN, Justin",Men,USA,United States,M,Silver +Athens,2004,Athletics,Athletics,110m hurdles,"LIU, Xiang",Men,CHN,China,M,Gold +Athens,2004,Athletics,Athletics,10000m,"TULU, Derartu",Women,ETH,Ethiopia,W,Bronze +Athens,2004,Athletics,Athletics,high jump,"SLESARENKO, Elena",Women,RUS,Russia,W,Gold +Athens,2004,Athletics,Athletics,heptathlon,"SKUJYTE, Austra",Women,LTU,Lithuania,W,Silver +Athens,2004,Athletics,Athletics,4x100m relay,"MANG, Veronique",Women,FRA,France,W,Bronze +Athens,2004,Athletics,Athletics,shot put,"NELSON, Adam",Men,USA,United States,M,Silver +Athens,2004,Athletics,Athletics,discus throw,"ALEKNA, Virgilijus",Men,LTU,Lithuania,M,Gold +Athens,2004,Athletics,Athletics,5000m,"KIPCHOGE, Eliud",Men,KEN,Kenya,M,Bronze +Athens,2004,Athletics,Athletics,4x100m relay,"KRUGLOVA, Larisa",Women,RUS,Russia,W,Silver +Athens,2004,Athletics,Athletics,4x400m relay,"WARINER, Jeremy",Men,USA,United States,M,Gold +Athens,2004,Athletics,Athletics,4x100m relay,"TABAKOVA, Yuliya",Women,RUS,Russia,W,Silver +Athens,2004,Athletics,Athletics,triple jump,"LEBEDEVA, Tatyana",Women,RUS,Russia,W,Bronze +Athens,2004,Athletics,Athletics,400m,"ANTYUKH, Natalya",Women,RUS,Russia,W,Bronze +Athens,2004,Athletics,Athletics,long jump,"KOTOVA, Tatyana",Women,RUS,Russia,W,Bronze +Athens,2004,Athletics,Athletics,high jump,"BABA, Jaroslav",Men,CZE,Czech Republic,M,Bronze +Athens,2004,Athletics,Athletics,javelin throw,"MENENDEZ, Osleidys",Women,CUB,Cuba,W,Gold +Athens,2004,Athletics,Athletics,800m,"HOLMES, Kelly",Women,GBR,United Kingdom,W,Gold +Athens,2004,Athletics,Athletics,5000m,"OCHICHI, Isabella",Women,KEN,Kenya,W,Silver +Athens,2004,Athletics,Athletics,shot put,"OLSEN, Joachim Broechner",Men,DEN,Denmark,M,Bronze +Athens,2004,Athletics,Athletics,shot put,"KRIVELYOVA, Svetlana",Women,RUS,Russia,W,Bronze +Athens,2004,Athletics,Athletics,100m,"GATLIN, Justin",Men,USA,United States,M,Gold +Athens,2004,Athletics,Athletics,400m,"GUEVARA, Ana",Women,MEX,Mexico,W,Silver +Athens,2004,Athletics,Athletics,3000m steeplechase,"KIPRUTO, Brimin Kiprop",Men,KEN,Kenya,M,Silver +Athens,2004,Athletics,Athletics,200m,"WILLIAMS, Bernard",Men,USA,United States,M,Silver +Athens,2004,Athletics,Athletics,high jump,"STYOPINA, Viktoriya",Women,UKR,Ukraine,W,Bronze +Athens,2004,Athletics,Athletics,4x400m relay,"HARRIS, Otis",Men,USA,United States,M,Gold +Athens,2004,Athletics,Athletics,4x100m relay,"PATTON, Darvis",Men,USA,United States,M,Silver +Athens,2004,Athletics,Athletics,100m,"NESTERENKO, Yuliya",Women,BLR,Belarus,W,Gold +Athens,2004,Athletics,Athletics,4x100m relay,"BAILEY, Aleen",Women,JAM,Jamaica,W,Gold +Athens,2004,Athletics,Athletics,pole vault,"GIBILISCO, Giuseppe",Men,ITA,Italy,M,Bronze +Athens,2004,Athletics,Athletics,20km race walk,"IVANOVA, Olimpiada",Women,RUS,Russia,W,Silver +Athens,2004,Athletics,Athletics,800m,"KIPKETER, Wilson",Men,DEN,Denmark,M,Bronze +Athens,2004,Athletics,Athletics,400m,"BREW, Derrick",Men,USA,United States,M,Bronze +Athens,2004,Athletics,Athletics,high jump,"HOLM, Stefan",Men,SWE,Sweden,M,Gold +Athens,2004,Athletics,Athletics,4x400m relay,"DAVY, Nadia",Women,JAM,Jamaica,W,Bronze +Athens,2004,Athletics,Athletics,marathon,"NOGUCHI, Mizuki",Women,JPN,Japan,W,Gold +Athens,2004,Athletics,Athletics,200m,"GATLIN, Justin",Men,USA,United States,M,Bronze +Athens,2004,Athletics,Athletics,discus throw,"TAMMERT, Aleksander",Men,EST,Estonia,M,Bronze +Athens,2004,Athletics,Athletics,200m,"CAMPBELL-BROWN, Veronica",Women,JAM,Jamaica,W,Gold +Athens,2004,Athletics,Athletics,hammer throw,"MORENO, Yipsi",Women,CUB,Cuba,W,Silver +Athens,2004,Athletics,Athletics,400m hurdles,"KEITA, Naman",Men,FRA,France,M,Bronze +Athens,2004,Athletics,Athletics,4x400m relay,"TROTTER, Deedee",Women,USA,United States,W,Gold +Athens,2004,Athletics,Athletics,high jump,"CLOETE, Hestrie",Women,RSA,South Africa,W,Silver +Athens,2004,Athletics,Athletics,4x400m relay,"BURGHER, Michelle",Women,JAM,Jamaica,W,Bronze +Athens,2004,Athletics,Athletics,javelin throw,"VASILEVSKIS, Vadims",Men,LAT,Latvia,M,Silver +Athens,2004,Athletics,Athletics,20km race walk,"SAVILLE, Jane",Women,AUS,Australia,W,Bronze +Athens,2004,Athletics,Athletics,400m,"HARRIS, Otis",Men,USA,United States,M,Silver +Athens,2004,Athletics,Athletics,4x100m relay,"GREENE, Maurice",Men,USA,United States,M,Silver +Athens,2004,Athletics,Athletics,marathon,"NDEREBA, Catherine",Women,KEN,Kenya,W,Silver +Athens,2004,Athletics,Athletics,4x100m relay,"EMEDOLU, Uchenna",Men,NGR,Nigeria,M,Bronze +Athens,2004,Athletics,Athletics,4x100m relay,"FASUBA, Olusoji",Men,NGR,Nigeria,M,Bronze +Athens,2004,Badminton,Badminton,doubles,"GAO, Ling",Women,CHN,China,W,Silver +Athens,2004,Badminton,Badminton,doubles,"ZHANG, Jiewen",Women,CHN,China,W,Gold +Athens,2004,Badminton,Badminton,doubles,"ZHANG, Jun",Men,CHN,China,X,Gold +Athens,2004,Badminton,Badminton,doubles,"YOO, Yong-Sung",Men,KOR,"Korea, South",M,Silver +Athens,2004,Badminton,Badminton,doubles,"YANG, Wei",Women,CHN,China,W,Gold +Athens,2004,Badminton,Badminton,doubles,"ROBERTSON, Nathan",Men,GBR,United Kingdom,X,Silver +Athens,2004,Badminton,Badminton,singles,"AUDINA, Mia",Women,NED,Netherlands,W,Silver +Athens,2004,Badminton,Badminton,doubles,"LEE, Kyungwon",Women,KOR,"Korea, South",W,Bronze +Athens,2004,Badminton,Badminton,singles,"ZHOU, Mi",Women,CHN,China,W,Bronze +Athens,2004,Badminton,Badminton,doubles,"RA, Kyung-Min",Women,KOR,"Korea, South",W,Bronze +Athens,2004,Badminton,Badminton,doubles,"LIMPELE, Flandy",Men,INA,Indonesia,M,Bronze +Athens,2004,Badminton,Badminton,singles,"HIDAYAT, Taufik",Men,INA,Indonesia,M,Gold +Athens,2004,Badminton,Badminton,doubles,"HIAN, Eng",Men,INA,Indonesia,M,Bronze +Athens,2004,Badminton,Badminton,doubles,"ERIKSEN, Jens Dyrloev",Men,DEN,Denmark,X,Bronze +Athens,2004,Badminton,Badminton,singles,"KUNCORO, Soni Dwi",Men,INA,Indonesia,M,Bronze +Athens,2004,Badminton,Badminton,doubles,"LEE, Dong Soo",Men,KOR,"Korea, South",M,Silver +Athens,2004,Badminton,Badminton,doubles,"HUANG, Sui",Women,CHN,China,W,Silver +Athens,2004,Badminton,Badminton,doubles,"HA, Tae-Kwon",Men,KOR,"Korea, South",M,Gold +Athens,2004,Badminton,Badminton,doubles,"SCHJOLDAGER, Mette",Women,DEN,Denmark,X,Bronze +Athens,2004,Badminton,Badminton,singles,"SHON, Seung Mo",Men,KOR,"Korea, South",M,Silver +Athens,2004,Badminton,Badminton,doubles,"GAO, Ling",Women,CHN,China,X,Gold +Athens,2004,Badminton,Badminton,doubles,"EMMS, Gail",Women,GBR,United Kingdom,X,Silver +Athens,2004,Badminton,Badminton,singles,"ZHANG, Ning",Women,CHN,China,W,Gold +Athens,2004,Badminton,Badminton,doubles,"KIM, Dong Moon",Men,KOR,"Korea, South",M,Gold +Athens,2004,Baseball,Baseball,baseball,"URRUTIA, Osmanis",Men,CUB,Cuba,M,Gold +Athens,2004,Baseball,Baseball,baseball,"FINGLESON, Gavin",Men,AUS,Australia,M,Silver +Athens,2004,Baseball,Baseball,baseball,"BETANCOURT CHACON, Danny",Men,CUB,Cuba,M,Gold +Athens,2004,Baseball,Baseball,baseball,"KOBAYASHI, Masahide",Men,JPN,Japan,M,Bronze +Athens,2004,Baseball,Baseball,baseball,"SHIMIZU, Naoyuki",Men,JPN,Japan,M,Bronze +Athens,2004,Baseball,Baseball,baseball,"KURODA, Hiroki",Men,JPN,Japan,M,Bronze +Athens,2004,Baseball,Baseball,baseball,"IWAKUMA, Hisashi",Men,JPN,Japan,M,Bronze +Athens,2004,Baseball,Baseball,baseball,"WIGMORE, Ben",Men,AUS,Australia,M,Silver +Athens,2004,Baseball,Baseball,baseball,"IWASE, Hitoki",Men,JPN,Japan,M,Bronze +Athens,2004,Baseball,Baseball,baseball,"OELTJEN, Trent",Men,AUS,Australia,M,Silver +Athens,2004,Baseball,Baseball,baseball,"FUKUDOME, Kosuke",Men,JPN,Japan,M,Bronze +Athens,2004,Baseball,Baseball,baseball,"NILSSON, David",Men,AUS,Australia,M,Silver +Athens,2004,Baseball,Baseball,baseball,"AIKAWA, Ryoji",Men,JPN,Japan,M,Bronze +Athens,2004,Baseball,Baseball,baseball,"ROWLAND SMITH, Ryan",Men,AUS,Australia,M,Silver +Athens,2004,Baseball,Baseball,baseball,"ANDO, Yuya",Men,JPN,Japan,M,Bronze +Athens,2004,Baseball,Baseball,baseball,"PESTANO, Ariel",Men,CUB,Cuba,M,Gold +Athens,2004,Baseball,Baseball,baseball,"TAKAHASHI, Yoshinobu",Men,JPN,Japan,M,Bronze +Athens,2004,Baseball,Baseball,baseball,"GOURRIEL CASTILLO, Yulieski",Men,CUB,Cuba,M,Gold +Athens,2004,Baseball,Baseball,baseball,"WADA, Tsuyoshi",Men,JPN,Japan,M,Bronze +Athens,2004,Baseball,Baseball,baseball,"GONZALEZ, Norberto",Men,CUB,Cuba,M,Gold +Athens,2004,Baseball,Baseball,baseball,"ANDERSON, Craig",Men,AUS,Australia,M,Silver +Athens,2004,Baseball,Baseball,baseball,"GONZALEZ, Paul",Men,AUS,Australia,M,Silver +Athens,2004,Baseball,Baseball,baseball,"PALMA, Adiel",Men,CUB,Cuba,M,Gold +Athens,2004,Baseball,Baseball,baseball,"MACHADO MORALES, Roger",Men,CUB,Cuba,M,Gold +Athens,2004,Baseball,Baseball,baseball,"THOMPSON, Richard",Men,AUS,Australia,M,Silver +Athens,2004,Baseball,Baseball,baseball,"TABARES PADILLA, Carlos Alberto",Men,CUB,Cuba,M,Gold +Athens,2004,Baseball,Baseball,baseball,"WILLIAMS, Jeff",Men,AUS,Australia,M,Silver +Athens,2004,Baseball,Baseball,baseball,"MATSUZAKA, Daisuke",Men,JPN,Japan,M,Bronze +Athens,2004,Baseball,Baseball,baseball,"STOCKMAN, Phil",Men,AUS,Australia,M,Silver +Athens,2004,Baseball,Baseball,baseball,"UEHARA, Koji",Men,JPN,Japan,M,Bronze +Athens,2004,Baseball,Baseball,baseball,"UTTING, Andrew",Men,AUS,Australia,M,Silver +Athens,2004,Baseball,Baseball,baseball,"FUJIMOTO, Atsushi",Men,JPN,Japan,M,Bronze +Athens,2004,Baseball,Baseball,baseball,"CHARLES MARTINEZ, Yorelvis",Men,CUB,Cuba,M,Gold +Athens,2004,Baseball,Baseball,baseball,"BURNSIDE, Adrian",Men,AUS,Australia,M,Silver +Athens,2004,Baseball,Baseball,baseball,"ISHII, Hirotoshi",Men,JPN,Japan,M,Bronze +Athens,2004,Baseball,Baseball,baseball,"RONEBERG, Brett",Men,AUS,Australia,M,Silver +Athens,2004,Baseball,Baseball,baseball,"OGASAWARA, Michihiro",Men,JPN,Japan,M,Bronze +Athens,2004,Baseball,Baseball,baseball,"SCULL, Antonio",Men,CUB,Cuba,M,Gold +Athens,2004,Baseball,Baseball,baseball,"OXSPRING, Chris",Men,AUS,Australia,M,Silver +Athens,2004,Baseball,Baseball,baseball,"BRICE, Thomas",Men,AUS,Australia,M,Silver +Athens,2004,Baseball,Baseball,baseball,"LAZO, Pedro Luis",Men,CUB,Cuba,M,Gold +Athens,2004,Baseball,Baseball,baseball,"KINGMAN, Brendan",Men,AUS,Australia,M,Silver +Athens,2004,Baseball,Baseball,baseball,"MONTIETH HERRERA, Frank Andy",Men,CUB,Cuba,M,Gold +Athens,2004,Baseball,Baseball,baseball,"BORROTO JIMENEZ, Luis",Men,CUB,Cuba,M,Gold +Athens,2004,Baseball,Baseball,baseball,"VEGA TAMAYO, Manuel Alberto",Men,CUB,Cuba,M,Gold +Athens,2004,Baseball,Baseball,baseball,"VAN BUIZEN, Rodney",Men,AUS,Australia,M,Silver +Athens,2004,Baseball,Baseball,baseball,"MURAMATSU, Arihito",Men,JPN,Japan,M,Bronze +Athens,2004,Baseball,Baseball,baseball,"TAMBURRINO, Brett",Men,AUS,Australia,M,Silver +Athens,2004,Baseball,Baseball,baseball,"KIMURA, Takuya",Men,JPN,Japan,M,Bronze +Athens,2004,Baseball,Baseball,baseball,"ENRIQUEZ TAMAYO, Michel",Men,CUB,Cuba,M,Gold +Athens,2004,Baseball,Baseball,baseball,"WILLIAMS, Glenn",Men,AUS,Australia,M,Silver +Athens,2004,Baseball,Baseball,baseball,"KIMPTON, Nick",Men,AUS,Australia,M,Silver +Athens,2004,Baseball,Baseball,baseball,"JOJIMA, Kenji",Men,JPN,Japan,M,Bronze +Athens,2004,Baseball,Baseball,baseball,"KANEKO, Makoto",Men,JPN,Japan,M,Bronze +Athens,2004,Baseball,Baseball,baseball,"MARTINEZ MARTINEZ, Jonder",Men,CUB,Cuba,M,Gold +Athens,2004,Baseball,Baseball,baseball,"MIURA, Daisuke",Men,JPN,Japan,M,Bronze +Athens,2004,Baseball,Baseball,baseball,"VERA, Norge Luis",Men,CUB,Cuba,M,Gold +Athens,2004,Baseball,Baseball,baseball,"PARET, Eduardo",Men,CUB,Cuba,M,Gold +Athens,2004,Baseball,Baseball,baseball,"WADA, Kazuhiro",Men,JPN,Japan,M,Bronze +Athens,2004,Baseball,Baseball,baseball,"OUGH, Wayne",Men,AUS,Australia,M,Silver +Athens,2004,Baseball,Baseball,baseball,"RAMIREZ RODRIGUEZ, Alexei",Men,CUB,Cuba,M,Gold +Athens,2004,Baseball,Baseball,baseball,"SANCHEZ, Eriel",Men,CUB,Cuba,M,Gold +Athens,2004,Baseball,Baseball,baseball,"NAKAMURA, Norihiro",Men,JPN,Japan,M,Bronze +Athens,2004,Baseball,Baseball,baseball,"STEPHENS, John",Men,AUS,Australia,M,Silver +Athens,2004,Baseball,Baseball,baseball,"LEWIS, Craig",Men,AUS,Australia,M,Silver +Athens,2004,Baseball,Baseball,baseball,"MIYAMOTO, Shinya",Men,JPN,Japan,M,Bronze +Athens,2004,Baseball,Baseball,baseball,"CEPEDA CRUZ, Frederich",Men,CUB,Cuba,M,Gold +Athens,2004,Baseball,Baseball,baseball,"LLOYD, Graeme",Men,AUS,Australia,M,Silver +Athens,2004,Baseball,Baseball,baseball,"ODELIN SANAME, Vicyohandri",Men,CUB,Cuba,M,Gold +Athens,2004,Baseball,Baseball,baseball,"URGELLES, Yoandry",Men,CUB,Cuba,M,Gold +Athens,2004,Baseball,Baseball,baseball,"TANI, Yoshitomo",Men,JPN,Japan,M,Bronze +Athens,2004,Basketball,Basketball,basketball,"GALANDA, Giacomo",Men,ITA,Italy,M,Silver +Athens,2004,Basketball,Basketball,basketball,"ARTESHINA, Olga",Women,RUS,Russia,W,Bronze +Athens,2004,Basketball,Basketball,basketball,"ARKHIPOVA, Anna",Women,RUS,Russia,W,Bronze +Athens,2004,Basketball,Basketball,basketball,"CHIACIG, Roberto",Men,ITA,Italy,M,Silver +Athens,2004,Basketball,Basketball,basketball,"STEPANOVA, Maria",Women,RUS,Russia,W,Bronze +Athens,2004,Basketball,Basketball,basketball,"ANTHONY, Carmelo",Men,USA,United States,M,Bronze +Athens,2004,Basketball,Basketball,basketball,"JACKSON, Lauren",Women,AUS,Australia,W,Silver +Athens,2004,Basketball,Basketball,basketball,"JAMES, Lebron",Men,USA,United States,M,Bronze +Athens,2004,Basketball,Basketball,basketball,"RAKHMATULINA, Oxana",Women,RUS,Russia,W,Bronze +Athens,2004,Basketball,Basketball,basketball,"FERNANDEZ, Gabriel Diego",Men,ARG,Argentina,M,Gold +Athens,2004,Basketball,Basketball,basketball,"RIGHETTI, Alex",Men,ITA,Italy,M,Silver +Athens,2004,Basketball,Basketball,basketball,"BARANOVA, Elena",Women,RUS,Russia,W,Bronze +Athens,2004,Basketball,Basketball,basketball,"TAURASI, Diana",Women,USA,United States,W,Gold +Athens,2004,Basketball,Basketball,basketball,"OSIPOVA, Irina",Women,RUS,Russia,W,Bronze +Athens,2004,Basketball,Basketball,basketball,"STOUDEMIRE, Amare",Men,USA,United States,M,Bronze +Athens,2004,Basketball,Basketball,basketball,"NOCIONI, Andres Marcelo",Men,ARG,Argentina,M,Gold +Athens,2004,Basketball,Basketball,basketball,"DELFINO, Carlos Francisco",Men,ARG,Argentina,M,Gold +Athens,2004,Basketball,Basketball,basketball,"BULLERI, Massimo",Men,ITA,Italy,M,Silver +Athens,2004,Basketball,Basketball,basketball,"GINOBILI, Emanuel David",Men,ARG,Argentina,M,Gold +Athens,2004,Basketball,Basketball,basketball,"SPORN, Rachael",Women,AUS,Australia,W,Silver +Athens,2004,Basketball,Basketball,basketball,"MIAN, Michele",Men,ITA,Italy,M,Silver +Athens,2004,Basketball,Basketball,basketball,"WADE JR, Dwyane",Men,USA,United States,M,Bronze +Athens,2004,Basketball,Basketball,basketball,"BASILE, Gianluca",Men,ITA,Italy,M,Silver +Athens,2004,Basketball,Basketball,basketball,"BATKOVIC, Suzy",Women,AUS,Australia,W,Silver +Athens,2004,Basketball,Basketball,basketball,"SANCHEZ, Juan Ignacio",Men,ARG,Argentina,M,Gold +Athens,2004,Basketball,Basketball,basketball,"GARRI, Luca",Men,ITA,Italy,M,Silver +Athens,2004,Basketball,Basketball,basketball,"DUNCAN, Timothy",Men,USA,United States,M,Bronze +Athens,2004,Basketball,Basketball,basketball,"SMITH, Katie",Women,USA,United States,W,Gold +Athens,2004,Basketball,Basketball,basketball,"VODOPYANOVA, Natalia",Women,RUS,Russia,W,Bronze +Athens,2004,Basketball,Basketball,basketball,"RADULOVIC, Nikola",Men,ITA,Italy,M,Silver +Athens,2004,Basketball,Basketball,basketball,"SHCHEGOLEVA, Tatiana",Women,RUS,Russia,W,Bronze +Athens,2004,Basketball,Basketball,basketball,"WOLKOWYSKI, Ruben",Men,ARG,Argentina,M,Gold +Athens,2004,Basketball,Basketball,basketball,"JEFFERSON, Richard",Men,USA,United States,M,Bronze +Athens,2004,Basketball,Basketball,basketball,"TAYLOR, Penny",Women,AUS,Australia,W,Silver +Athens,2004,Basketball,Basketball,basketball,"JOHNSON, Shannon",Women,USA,United States,W,Gold +Athens,2004,Basketball,Basketball,basketball,"FALLON, Trish",Women,AUS,Australia,W,Silver +Athens,2004,Basketball,Basketball,basketball,"SNELL, Belinda",Women,AUS,Australia,W,Silver +Athens,2004,Basketball,Basketball,basketball,"KALMYKOVA, Maria",Women,RUS,Russia,W,Bronze +Athens,2004,Basketball,Basketball,basketball,"GRIFFITH, Yolanda",Women,USA,United States,W,Gold +Athens,2004,Basketball,Basketball,basketball,"GUSTILINA, Diana",Women,RUS,Russia,W,Bronze +Athens,2004,Basketball,Basketball,basketball,"BRONDELLO, Sandra",Women,AUS,Australia,W,Silver +Athens,2004,Basketball,Basketball,basketball,"TRANQUILLI, Allison",Women,AUS,Australia,W,Silver +Athens,2004,Basketball,Basketball,basketball,"MARBURY, Stephon",Men,USA,United States,M,Bronze +Athens,2004,Basketball,Basketball,basketball,"RILEY, Ruth",Women,USA,United States,W,Gold +Athens,2004,Basketball,Basketball,basketball,"THOMPSON, Tina",Women,USA,United States,W,Gold +Athens,2004,Basketball,Basketball,basketball,"HERRMANN, Walter",Men,ARG,Argentina,M,Gold +Athens,2004,Basketball,Basketball,basketball,"LESLIE, Lisa",Women,USA,United States,W,Gold +Athens,2004,Basketball,Basketball,basketball,"MONTECCHIA, Alejandro Ariel",Men,ARG,Argentina,M,Gold +Athens,2004,Basketball,Basketball,basketball,"HARROWER, Kristi",Women,AUS,Australia,W,Silver +Athens,2004,Basketball,Basketball,basketball,"SWOOPES, Sheryl",Women,USA,United States,W,Gold +Athens,2004,Basketball,Basketball,basketball,"SCONOCHINI, Hugo Ariel",Men,ARG,Argentina,M,Gold +Athens,2004,Basketball,Basketball,basketball,"OBERTO, Fabricio",Men,ARG,Argentina,M,Gold +Athens,2004,Basketball,Basketball,basketball,"BOOZER, Carlos",Men,USA,United States,M,Bronze +Athens,2004,Basketball,Basketball,basketball,"SORAGNA, Matteo",Men,ITA,Italy,M,Silver +Athens,2004,Basketball,Basketball,basketball,"CATCHINGS, Tamika",Women,USA,United States,W,Gold +Athens,2004,Basketball,Basketball,basketball,"IVERSON, Allen",Men,USA,United States,M,Bronze +Athens,2004,Basketball,Basketball,basketball,"GUTIERREZ, Leonardo Martin",Men,ARG,Argentina,M,Gold +Athens,2004,Basketball,Basketball,basketball,"BIRD, Suzanne",Women,USA,United States,W,Gold +Athens,2004,Basketball,Basketball,basketball,"OKAFOR, Emeka",Men,USA,United States,M,Bronze +Athens,2004,Basketball,Basketball,basketball,"PORTER, Natalie",Women,AUS,Australia,W,Silver +Athens,2004,Basketball,Basketball,basketball,"SCOLA, Luis Alberto",Men,ARG,Argentina,M,Gold +Athens,2004,Basketball,Basketball,basketball,"ODOM, Lamar",Men,USA,United States,M,Bronze +Athens,2004,Basketball,Basketball,basketball,"ROMBALDONI, Rodolfo",Men,ITA,Italy,M,Silver +Athens,2004,Basketball,Basketball,basketball,"STALEY, Dawn",Women,USA,United States,W,Gold +Athens,2004,Basketball,Basketball,basketball,"POTO, Alicia",Women,AUS,Australia,W,Silver +Athens,2004,Basketball,Basketball,basketball,"CASH, Swintayla",Women,USA,United States,W,Gold +Athens,2004,Basketball,Basketball,basketball,"KORSTIN, Ilona",Women,RUS,Russia,W,Bronze +Athens,2004,Basketball,Basketball,basketball,"MARION, Shawn",Men,USA,United States,M,Bronze +Athens,2004,Basketball,Basketball,basketball,"MARCONATO, Denis",Men,ITA,Italy,M,Silver +Athens,2004,Basketball,Basketball,basketball,"SUMMERTON, Laura",Women,AUS,Australia,W,Silver +Athens,2004,Boxing,Boxing,54 - 57kg (featherweight),"TISHCHENKO, Alexey",Men,RUS,Russia,M,Gold +Athens,2004,Boxing,Boxing,51 - 54kg (bantamweight),"PETCHKOOM, Worapoj",Men,THA,Thailand,M,Silver +Athens,2004,Boxing,Boxing,60 - 64 kg,"JOHNSON CEDENO, Yudel",Men,CUB,Cuba,M,Silver +Athens,2004,Boxing,Boxing,54 - 57kg (featherweight),"JO, Seok Hwan",Men,KOR,"Korea, South",M,Bronze +Athens,2004,Boxing,Boxing,69 - 75 kg,"GOLOVKIN, Gennadiy",Men,KAZ,Kazakhstan,M,Silver +Athens,2004,Boxing,Boxing,48 - 51kg (flyweight),"ASLANOV, Fuad",Men,AZE,Azerbaijan,M,Bronze +Athens,2004,Boxing,Boxing,60 - 64 kg,"GHEORGHE, Ionut",Men,ROU,Romania,M,Bronze +Athens,2004,Boxing,Boxing,48 - 51kg (flyweight),"THOMAS, Jerome",Men,FRA,France,M,Silver +Athens,2004,Boxing,Boxing,75 - 81kg (light-heavyweight),"HAYDAROV, Utkirbek",Men,UZB,Uzbekistan,M,Bronze +Athens,2004,Boxing,Boxing,48kg (light flywieght),"KAZAKOV, Sergey",Men,RUS,Russia,M,Bronze +Athens,2004,Boxing,Boxing,+ 91kg (super heavyweight),"POVETKIN, Alexander",Men,RUS,Russia,M,Gold +Athens,2004,Boxing,Boxing,51 - 54kg (bantamweight),"MAMMADOV, Aghasi",Men,AZE,Azerbaijan,M,Bronze +Athens,2004,Boxing,Boxing,75 - 81kg (light-heavyweight),"ISMAIL, Ahmed",Men,EGY,Egypt,M,Bronze +Athens,2004,Boxing,Boxing,69 - 75 kg,"GAYDARBEKOV, Gaydarbek",Men,RUS,Russia,M,Gold +Athens,2004,Boxing,Boxing,57 - 60kg (lightweight),"KHAN, Amir",Men,GBR,United Kingdom,M,Silver +Athens,2004,Boxing,Boxing,51 - 54kg (bantamweight),"SOOLTONOV, Bahodirjon",Men,UZB,Uzbekistan,M,Bronze +Athens,2004,Boxing,Boxing,64 - 69 kg,"KIM, Jung Joo",Men,KOR,"Korea, South",M,Bronze +Athens,2004,Boxing,Boxing,+ 91kg (super heavyweight),"LOPEZ NUNEZ, Michel",Men,CUB,Cuba,M,Bronze +Athens,2004,Boxing,Boxing,75 - 81kg (light-heavyweight),"ARIPGADJIEV, Magomed",Men,BLR,Belarus,M,Silver +Athens,2004,Boxing,Boxing,54 - 57kg (featherweight),"TAJBERT, Vitali",Men,GER,Germany,M,Bronze +Athens,2004,Boxing,Boxing,48 - 51kg (flyweight),"RAHIMOV, Rustamhodza",Men,GER,Germany,M,Bronze +Athens,2004,Boxing,Boxing,57 - 60kg (lightweight),"KHRACHEV, Murat",Men,RUS,Russia,M,Bronze +Athens,2004,Boxing,Boxing,60 - 64 kg,"BOONJUMNONG, Manus",Men,THA,Thailand,M,Gold +Athens,2004,Boxing,Boxing,48kg (light flywieght),"ZOU, Shiming",Men,CHN,China,M,Bronze +Athens,2004,Boxing,Boxing,48kg (light flywieght),"YALCINKAYA, Atagun",Men,TUR,Turkey,M,Silver +Athens,2004,Boxing,Boxing,54 - 57kg (featherweight),"KIM, Song Guk",Men,PRK,"Korea, North",M,Silver +Athens,2004,Boxing,Boxing,81 - 91kg (heavyweight),"AL SHAMI, Naser",Men,SYR,Syria,M,Bronze +Athens,2004,Boxing,Boxing,57 - 60kg (lightweight),"YELEUOV, Serik",Men,KAZ,Kazakhstan,M,Bronze +Athens,2004,Boxing,Boxing,57 - 60kg (lightweight),"KINDELAN MESA, Mario Cesar",Men,CUB,Cuba,M,Gold +Athens,2004,Boxing,Boxing,69 - 75 kg,"PRASATHINPHIMAI, Suriya",Men,THA,Thailand,M,Bronze +Athens,2004,Boxing,Boxing,60 - 64 kg,"GEORGIEV, Boris",Men,BUL,Bulgaria,M,Bronze +Athens,2004,Boxing,Boxing,81 - 91kg (heavyweight),"ELSAYED, Mohamed",Men,EGY,Egypt,M,Bronze +Athens,2004,Boxing,Boxing,64 - 69 kg,"SAITOV, Oleg",Men,RUS,Russia,M,Bronze +Athens,2004,Boxing,Boxing,64 - 69 kg,"ARAGON, Lorenzo",Men,CUB,Cuba,M,Silver +Athens,2004,Boxing,Boxing,64 - 69 kg,"ARTAYEV, Bakhtiyar",Men,KAZ,Kazakhstan,M,Gold +Athens,2004,Boxing,Boxing,+ 91kg (super heavyweight),"ALY, Mohamed",Men,EGY,Egypt,M,Silver +Athens,2004,Boxing,Boxing,81 - 91kg (heavyweight),"ZUYEV, Viktar",Men,BLR,Belarus,M,Silver +Athens,2004,Boxing,Boxing,51 - 54kg (bantamweight),"RIGONDEAUX ORTIZ, Guillermo",Men,CUB,Cuba,M,Gold +Athens,2004,Boxing,Boxing,48 - 51kg (flyweight),"GAMBOA TOLEDANO, Yuriorkis",Men,CUB,Cuba,M,Gold +Athens,2004,Boxing,Boxing,+ 91kg (super heavyweight),"CAMMARELLE, Roberto",Men,ITA,Italy,M,Bronze +Athens,2004,Boxing,Boxing,69 - 75 kg,"DIRRELL, Andre",Men,USA,United States,M,Bronze +Athens,2004,Boxing,Boxing,48kg (light flywieght),"BHARTELEMY VARELA, Yan",Men,CUB,Cuba,M,Gold +Athens,2004,Boxing,Boxing,81 - 91kg (heavyweight),"SOLIS FONTE, Odlanier",Men,CUB,Cuba,M,Gold +Athens,2004,Boxing,Boxing,75 - 81kg (light-heavyweight),"WARD, Andre",Men,USA,United States,M,Gold +Athens,2004,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"VAN KOEVERDEN, Adam",Men,CAN,Canada,M,Gold +Athens,2004,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"KOVACS, Katalin",Women,HUN,Hungary,W,Silver +Athens,2004,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"JANIC, Natasa",Women,HUN,Hungary,W,Gold +Athens,2004,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"PIATRUSHENKA, Raman",Men,BLR,Belarus,M,Bronze +Athens,2004,Canoe / Kayak,Canoe / Kayak F,K-1 1000m (kayak single),"VAN KOEVERDEN, Adam",Men,CAN,Canada,M,Bronze +Athens,2004,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"KOLONICS, Gyorgy",Men,HUN,Hungary,M,Bronze +Athens,2004,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"LEONHARDT, Carolin",Women,GER,Germany,W,Gold +Athens,2004,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"BOTA, Kinga",Women,HUN,Hungary,W,Silver +Athens,2004,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"HORVATH, Gabor",Men,HUN,Hungary,M,Gold +Athens,2004,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"IHLE, Andreas",Men,GER,Germany,M,Silver +Athens,2004,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"RAUHE, Ronald",Men,GER,Germany,M,Gold +Athens,2004,Canoe / Kayak,Canoe / Kayak F,K-1 1000m (kayak single),"FOUHY, Ben",Men,NZL,New Zealand,M,Silver +Athens,2004,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"OSYPENKO, Inna",Women,UKR,Ukraine,W,Bronze +Athens,2004,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"WYNNE, Ian",Men,GBR,United Kingdom,M,Bronze +Athens,2004,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"OSCARSSON, Markus",Men,SWE,Sweden,M,Gold +Athens,2004,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"BALCEIRO PAJON, Ledis Frank",Men,CUB,Cuba,M,Silver +Athens,2004,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"RISZDORFER, Michal",Men,SVK,Slovakia,M,Bronze +Athens,2004,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"SZABO, Szilvia",Women,HUN,Hungary,W,Silver +Athens,2004,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"BAGGALEY, Nathan",Men,AUS,Australia,M,Silver +Athens,2004,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"FISCHER, Birgit",Women,GER,Germany,W,Silver +Athens,2004,Canoe / Kayak,Canoe / Kayak F,K-1 1000m (kayak single),"LARSEN, Eirik Veraas",Men,NOR,Norway,M,Gold +Athens,2004,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"PASTUSZKA, Aneta",Women,POL,Poland,W,Bronze +Athens,2004,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"WYLENZEK, Tomasz",Men,GER,Germany,M,Gold +Athens,2004,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"JANIC, Natasa",Women,HUN,Hungary,W,Gold +Athens,2004,Canoe / Kayak,Canoe / Kayak F,C-1 500m (canoe single),"CAL, David",Men,ESP,Spain,M,Silver +Athens,2004,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"WIESKOETTER, Tim",Men,GER,Germany,M,Gold +Athens,2004,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"LARSEN, Eirik Veraas",Men,NOR,Norway,M,Bronze +Athens,2004,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"STORCZ, Botond",Men,HUN,Hungary,M,Gold +Athens,2004,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"BALABANOVA, Hanna",Women,UKR,Ukraine,W,Bronze +Athens,2004,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"MENG, Guanliang",Men,CHN,China,M,Gold +Athens,2004,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"ROBINSON, Clint",Men,AUS,Australia,M,Silver +Athens,2004,Canoe / Kayak,Canoe / Kayak F,C-1 500m (canoe single),"DITTMER, Andreas",Men,GER,Germany,M,Gold +Athens,2004,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"KOVALEV, Alexander",Men,RUS,Russia,M,Bronze +Athens,2004,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"KOSTOGLOD, Alexander",Men,RUS,Russia,M,Silver +Athens,2004,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"NILSSON, Henrik",Men,SWE,Sweden,M,Gold +Athens,2004,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"KOVACS, Katalin",Women,HUN,Hungary,W,Gold +Athens,2004,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"VERECKEI, Akos",Men,HUN,Hungary,M,Gold +Athens,2004,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"BONOMI, Beniamino",Men,ITA,Italy,M,Silver +Athens,2004,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"YANG, Wenjun",Men,CHN,China,M,Gold +Athens,2004,Canoe / Kayak,Canoe / Kayak F,C-1 1000m (canoe single),"VAJDA, Attila",Men,HUN,Hungary,M,Bronze +Athens,2004,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"ROSSI, Antonio",Men,ITA,Italy,M,Silver +Athens,2004,Canoe / Kayak,Canoe / Kayak F,C-1 500m (canoe single),"OPALEV, Maxim",Men,RUS,Russia,M,Bronze +Athens,2004,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"KOVALEV, Alexander",Men,RUS,Russia,M,Silver +Athens,2004,Canoe / Kayak,Canoe / Kayak F,C-1 1000m (canoe single),"DITTMER, Andreas",Men,GER,Germany,M,Silver +Athens,2004,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"SEMYKINA, Tetyana",Women,UKR,Ukraine,W,Bronze +Athens,2004,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"RISZDORFER, Richard",Men,SVK,Slovakia,M,Bronze +Athens,2004,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"KOZMANN, Gyorgy",Men,HUN,Hungary,M,Bronze +Athens,2004,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"FJELDHEIM, Nils Olav",Men,NOR,Norway,M,Bronze +Athens,2004,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"VISKI, Erzsebet",Women,HUN,Hungary,W,Silver +Athens,2004,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"ULM, Stefan",Men,GER,Germany,M,Silver +Athens,2004,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"KAMMERER, Zoltan",Men,HUN,Hungary,M,Gold +Athens,2004,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"CHEREVATOVA, Olena",Women,UKR,Ukraine,W,Bronze +Athens,2004,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"BRUNET, Caroline",Women,CAN,Canada,W,Bronze +Athens,2004,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"BACH, Bjoern",Men,GER,Germany,M,Silver +Athens,2004,Canoe / Kayak,Canoe / Kayak F,C-1 1000m (canoe single),"CAL, David",Men,ESP,Spain,M,Gold +Athens,2004,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"IDEM, Josefa",Women,ITA,Italy,W,Silver +Athens,2004,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"LEONHARDT, Carolin",Women,GER,Germany,W,Silver +Athens,2004,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"VLCEK, Erik",Men,SVK,Slovakia,M,Bronze +Athens,2004,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"BAGGALEY, Nathan",Men,AUS,Australia,M,Silver +Athens,2004,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"ZABEL, Mark",Men,GER,Germany,M,Silver +Athens,2004,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"KOSTOGLOD, Alexander",Men,RUS,Russia,M,Bronze +Athens,2004,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"GILLE, Christian",Men,GER,Germany,M,Gold +Athens,2004,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"BACA, Juraj",Men,SVK,Slovakia,M,Bronze +Athens,2004,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"FISCHER, Birgit",Women,GER,Germany,W,Gold +Athens,2004,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"SOKOLOWSKA KULESZA, Beata",Women,POL,Poland,W,Bronze +Athens,2004,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"NOLLEN, Maike",Women,GER,Germany,W,Gold +Athens,2004,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"MAKHNEU, Vadzim",Men,BLR,Belarus,M,Bronze +Athens,2004,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"WAGNER-AUGUSTIN, Katrin",Women,GER,Germany,W,Gold +Athens,2004,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"ROJAS BLANCO, Ibrahim",Men,CUB,Cuba,M,Silver +Athens,2004,Canoe / Kayak,Canoe / Kayak S,K-1 (kayak single),"GIDDENS, Rebecca",Women,USA,United States,W,Silver +Athens,2004,Canoe / Kayak,Canoe / Kayak S,K-1 (kayak single),"LEFEVRE, Fabien",Men,FRA,France,M,Bronze +Athens,2004,Canoe / Kayak,Canoe / Kayak S,C-1 (canoe single),"ESTANGUET, Tony",Men,FRA,France,M,Gold +Athens,2004,Canoe / Kayak,Canoe / Kayak S,C-2 (canoe double),"VOLF, Jaroslav",Men,CZE,Czech Republic,M,Bronze +Athens,2004,Canoe / Kayak,Canoe / Kayak S,C-1 (canoe single),"MARTIKAN, Michal",Men,SVK,Slovakia,M,Silver +Athens,2004,Canoe / Kayak,Canoe / Kayak S,C-1 (canoe single),"PFANNMOELLER, Stefan",Men,GER,Germany,M,Bronze +Athens,2004,Canoe / Kayak,Canoe / Kayak S,K-1 (kayak single),"PESCHIER, Benoit",Men,FRA,France,M,Gold +Athens,2004,Canoe / Kayak,Canoe / Kayak S,K-1 (kayak single),"REEVES, Helen",Women,GBR,United Kingdom,W,Bronze +Athens,2004,Canoe / Kayak,Canoe / Kayak S,C-2 (canoe double),"HENZE, Stefan",Men,GER,Germany,M,Silver +Athens,2004,Canoe / Kayak,Canoe / Kayak S,K-1 (kayak single),"KALISKA, Elena",Women,SVK,Slovakia,W,Gold +Athens,2004,Canoe / Kayak,Canoe / Kayak S,K-1 (kayak single),"WALSH, Campbell",Men,GBR,United Kingdom,M,Silver +Athens,2004,Canoe / Kayak,Canoe / Kayak S,C-2 (canoe double),"BECKER, Marcus",Men,GER,Germany,M,Silver +Athens,2004,Canoe / Kayak,Canoe / Kayak S,C-2 (canoe double),"HOCHSCHORNER, Pavol",Men,SVK,Slovakia,M,Gold +Athens,2004,Canoe / Kayak,Canoe / Kayak S,C-2 (canoe double),"STEPANEK, Ondrej",Men,CZE,Czech Republic,M,Bronze +Athens,2004,Canoe / Kayak,Canoe / Kayak S,C-2 (canoe double),"HOCHSCHORNER, Peter",Men,SVK,Slovakia,M,Gold +Athens,2004,Cycling,Cycling Road,individual time trial,"THUERIG, Karin",Women,SUI,Switzerland,W,Bronze +Athens,2004,Cycling,Cycling Road,individual road race,"BETTINI, Paolo",Men,ITA,Italy,M,Gold +Athens,2004,Cycling,Cycling Road,individual road race,"MERCKX, Axel",Men,BEL,Belgium,M,Bronze +Athens,2004,Cycling,Cycling Road,individual time trial,"EKIMOV, Vyacheslav",Men,RUS,Russia,M,Silver +Athens,2004,Cycling,Cycling Road,individual road race,"ARNDT, Judith",Women,GER,Germany,W,Silver +Athens,2004,Cycling,Cycling Road,individual time trial,"HAMILTON, Tyler",Men,USA,United States,M,Gold +Athens,2004,Cycling,Cycling Road,individual time trial,"DEMET-BARRY, Deirdre",Women,USA,United States,W,Silver +Athens,2004,Cycling,Cycling Road,individual road race,"CARRIGAN, Sara",Women,AUS,Australia,W,Gold +Athens,2004,Cycling,Cycling Road,individual road race,"PAULINHO, Sergio",Men,POR,Portugal,M,Silver +Athens,2004,Cycling,Cycling Road,individual time trial,"JULICH, Bobby",Men,USA,United States,M,Bronze +Athens,2004,Cycling,Cycling Road,individual road race,"SLYUSAREVA, Olga",Women,RUS,Russia,W,Bronze +Athens,2004,Cycling,Cycling Road,individual time trial,"ZIJLAARD-VAN MOORSEL, Leontien",Women,NED,Netherlands,W,Gold +Athens,2004,Cycling,Cycling Track,sprint,"ABASSOVA, Tamilla",Women,RUS,Russia,W,Silver +Athens,2004,Cycling,Cycling Track,Team Pursuit (4000m),"HAYLES, Rob",Men,GBR,United Kingdom,M,Silver +Athens,2004,Cycling,Cycling Track,Keirin,"KELLY, Shane",Men,AUS,Australia,M,Bronze +Athens,2004,Cycling,Cycling Track,1km time trial,"NIMKE, Stefan",Men,GER,Germany,M,Bronze +Athens,2004,Cycling,Cycling Track,Sprint indivual,"WOLFF, Rene",Men,GER,Germany,M,Bronze +Athens,2004,Cycling,Cycling Track,individual pursuit,"ZIJLAARD-VAN MOORSEL, Leontien",Women,NED,Netherlands,W,Bronze +Athens,2004,Cycling,Cycling Track,Madison,"RISI, Bruno",Men,SUI,Switzerland,M,Silver +Athens,2004,Cycling,Cycling Track,Team Sprint,"BOURGAIN, Mickael",Men,FRA,France,M,Bronze +Athens,2004,Cycling,Cycling Track,Team Sprint,"INOUE, Masaki",Men,JPN,Japan,M,Silver +Athens,2004,Cycling,Cycling Track,Points Race,"LLANERAS, Joan",Men,ESP,Spain,M,Silver +Athens,2004,Cycling,Cycling Track,sprint,"MEARES, Anna",Women,AUS,Australia,W,Bronze +Athens,2004,Cycling,Cycling Track,sprint,"MUENZER, Lori-Ann",Women,CAN,Canada,W,Gold +Athens,2004,Cycling,Cycling Track,Points Race,"IGNATYEV, Mikhail",Men,RUS,Russia,M,Gold +Athens,2004,Cycling,Cycling Track,Team Pursuit (4000m),"ROBERTS, Luke",Men,AUS,Australia,M,Gold +Athens,2004,Cycling,Cycling Track,Team Pursuit (4000m),"MCGEE, Bradley",Men,AUS,Australia,M,Gold +Athens,2004,Cycling,Cycling Track,Keirin,"ESCUREDO, Jose",Men,ESP,Spain,M,Silver +Athens,2004,Cycling,Cycling Track,Individual Pursuit,"MCGEE, Bradley",Men,AUS,Australia,M,Silver +Athens,2004,Cycling,Cycling Track,Team Pursuit (4000m),"BROWN, Graeme",Men,AUS,Australia,M,Gold +Athens,2004,Cycling,Cycling Track,Team Pursuit (4000m),"LANCASTER, Brett",Men,AUS,Australia,M,Gold +Athens,2004,Cycling,Cycling Track,Team Pursuit (4000m),"WOOLDRIDGE, Stephen",Men,AUS,Australia,M,Gold +Athens,2004,Cycling,Cycling Track,500m time trial,"MEARES, Anna",Women,AUS,Australia,W,Gold +Athens,2004,Cycling,Cycling Track,Sprint indivual,"BOS, Theo",Men,NED,Netherlands,M,Silver +Athens,2004,Cycling,Cycling Track,1km time trial,"HOY, Chris",Men,GBR,United Kingdom,M,Gold +Athens,2004,Cycling,Cycling Track,Team Pursuit (4000m),"WIGGINS, Bradley",Men,GBR,United Kingdom,M,Silver +Athens,2004,Cycling,Cycling Track,Team Sprint,"GANE, Laurent",Men,FRA,France,M,Bronze +Athens,2004,Cycling,Cycling Track,Team Pursuit (4000m),"NEWTON, Chris",Men,GBR,United Kingdom,M,Silver +Athens,2004,Cycling,Cycling Track,Team Pursuit (4000m),"CUMMINGS, Stephen",Men,GBR,United Kingdom,M,Silver +Athens,2004,Cycling,Cycling Track,Team Pursuit (4000m),"MANNING, Paul",Men,GBR,United Kingdom,M,Silver +Athens,2004,Cycling,Cycling Track,1km time trial,"TOURNANT, Arnaud",Men,FRA,France,M,Silver +Athens,2004,Cycling,Cycling Track,Madison,"BROWN, Graeme",Men,AUS,Australia,M,Gold +Athens,2004,Cycling,Cycling Track,Madison,"MARVULLI, Franco",Men,SUI,Switzerland,M,Silver +Athens,2004,Cycling,Cycling Track,Madison,"WIGGINS, Bradley",Men,GBR,United Kingdom,M,Bronze +Athens,2004,Cycling,Cycling Track,Team Sprint,"WOLFF, Rene",Men,GER,Germany,M,Gold +Athens,2004,Cycling,Cycling Track,Team Pursuit (4000m),"ESCOBAR, Sergi",Men,ESP,Spain,M,Bronze +Athens,2004,Cycling,Cycling Track,individual pursuit,"ULMER, Sarah",Women,NZL,New Zealand,W,Gold +Athens,2004,Cycling,Cycling Track,Team Sprint,"TOURNANT, Arnaud",Men,FRA,France,M,Bronze +Athens,2004,Cycling,Cycling Track,Points Race,"FULST, Guido",Men,GER,Germany,M,Bronze +Athens,2004,Cycling,Cycling Track,Team Pursuit (4000m),"MAEZTU, Asier",Men,ESP,Spain,M,Bronze +Athens,2004,Cycling,Cycling Track,Individual Pursuit,"WIGGINS, Bradley",Men,GBR,United Kingdom,M,Gold +Athens,2004,Cycling,Cycling Track,Team Sprint,"NIMKE, Stefan",Men,GER,Germany,M,Gold +Athens,2004,Cycling,Cycling Track,points race,"CALLE WILLIAMS, Maria Luisa",Women,COL,Colombia,W,Bronze +Athens,2004,Cycling,Cycling Track,individual pursuit,"MACTIER, Katie",Women,AUS,Australia,W,Silver +Athens,2004,Cycling,Cycling Track,Team Sprint,"FIEDLER, Jens",Men,GER,Germany,M,Gold +Athens,2004,Cycling,Cycling Track,Individual Pursuit,"ESCOBAR, Sergi",Men,ESP,Spain,M,Bronze +Athens,2004,Cycling,Cycling Track,Team Pursuit (4000m),"TORRENT, Carlos",Men,ESP,Spain,M,Bronze +Athens,2004,Cycling,Cycling Track,Madison,"O'GRADY, Stuart",Men,AUS,Australia,M,Gold +Athens,2004,Cycling,Cycling Track,Sprint indivual,"BAYLEY, Ryan",Men,AUS,Australia,M,Gold +Athens,2004,Cycling,Cycling Track,Team Sprint,"FUSHIMI, Toshiaki",Men,JPN,Japan,M,Silver +Athens,2004,Cycling,Cycling Track,Team Pursuit (4000m),"CASTANO, Carlos",Men,ESP,Spain,M,Bronze +Athens,2004,Cycling,Cycling Track,Team Pursuit (4000m),"DAWSON, Peter",Men,AUS,Australia,M,Gold +Athens,2004,Cycling,Cycling Track,points race,"GUERRERO MENDEZ, Belem",Women,MEX,Mexico,W,Silver +Athens,2004,Cycling,Cycling Track,Team Sprint,"NAGATSUKA, Tomohiro",Men,JPN,Japan,M,Silver +Athens,2004,Cycling,Cycling Track,Madison,"HAYLES, Rob",Men,GBR,United Kingdom,M,Bronze +Athens,2004,Cycling,Cycling Track,points race,"SLYUSAREVA, Olga",Women,RUS,Russia,W,Gold +Athens,2004,Cycling,Cycling Track,Keirin,"BAYLEY, Ryan",Men,AUS,Australia,M,Gold +Athens,2004,Cycling,Cycling Track,Team Pursuit (4000m),"STEEL, Bryan",Men,GBR,United Kingdom,M,Silver +Athens,2004,Cycling,Cycling Track,500m time trial,"TSYLINSKAYA, Natallia",Women,BLR,Belarus,W,Bronze +Athens,2004,Cycling,Cycling Track,500m time trial,"JIANG, Yonghua",Women,CHN,China,W,Silver +Athens,2004,Cycling,Mountain Bike,cross-country,"HERMIDA RAMOS, Jose Antonio",Men,ESP,Spain,M,Silver +Athens,2004,Cycling,Mountain Bike,cross-country,"DAHLE, Gunn-Rita",Women,NOR,Norway,W,Gold +Athens,2004,Cycling,Mountain Bike,cross-country,"BRENTJENS, Bart",Men,NED,Netherlands,M,Bronze +Athens,2004,Cycling,Mountain Bike,cross-country,"SPITZ, Sabine",Women,GER,Germany,W,Bronze +Athens,2004,Cycling,Mountain Bike,cross-country,"PREMONT, Marie-Helene",Women,CAN,Canada,W,Silver +Athens,2004,Cycling,Mountain Bike,cross-country,"ABSALON, Julien",Men,FRA,France,M,Gold +Athens,2004,Equestrian,Dressage,team,"SEIDEL, Guenter",Men,USA,United States,X,Bronze +Athens,2004,Equestrian,Dressage,individual,"FERRER-SALAT, Beatriz",Women,ESP,Spain,X,Bronze +Athens,2004,Equestrian,Dressage,team,"KEMMER, Heike",Women,GER,Germany,X,Gold +Athens,2004,Equestrian,Dressage,team,"JIMENEZ, Juan Antonio",Men,ESP,Spain,X,Silver +Athens,2004,Equestrian,Dressage,team,"SALZGEBER, Ulla",Women,GER,Germany,X,Gold +Athens,2004,Equestrian,Dressage,team,"SOTO, Rafael",Men,ESP,Spain,X,Silver +Athens,2004,Equestrian,Dressage,team,"MCDONALD, Debbie",Women,USA,United States,X,Bronze +Athens,2004,Equestrian,Dressage,individual,"SALZGEBER, Ulla",Women,GER,Germany,X,Silver +Athens,2004,Equestrian,Dressage,team,"SCHMIDT, Hubertus",Men,GER,Germany,X,Gold +Athens,2004,Equestrian,Dressage,team,"DOVER, Robert",Men,USA,United States,X,Bronze +Athens,2004,Equestrian,Dressage,individual,"VAN GRUNSVEN, Anky",Women,NED,Netherlands,X,Gold +Athens,2004,Equestrian,Dressage,team,"RAMBLA, Ignacio",Men,ESP,Spain,X,Silver +Athens,2004,Equestrian,Dressage,team,"SCHAUDT, Martin",Men,GER,Germany,X,Gold +Athens,2004,Equestrian,Dressage,team,"WILCOX, Lisa",Women,USA,United States,X,Bronze +Athens,2004,Equestrian,Dressage,team,"FERRER-SALAT, Beatriz",Women,ESP,Spain,X,Silver +Athens,2004,Equestrian,Eventing,individual,"LAW, Leslie",Men,GBR,United Kingdom,X,Gold +Athens,2004,Equestrian,Eventing,team,"TOUZAINT, Nicolas",Men,FRA,France,X,Gold +Athens,2004,Equestrian,Eventing,team,"TEULERE, Jean",Men,FRA,France,X,Gold +Athens,2004,Equestrian,Eventing,team,"KING, Mary",Women,GBR,United Kingdom,X,Silver +Athens,2004,Equestrian,Eventing,team,"WILLIAMS, John",Men,USA,United States,X,Bronze +Athens,2004,Equestrian,Eventing,team,"FUNNELL, Philippa",Women,GBR,United Kingdom,X,Silver +Athens,2004,Equestrian,Eventing,individual,"FUNNELL, Philippa",Women,GBR,United Kingdom,X,Bronze +Athens,2004,Equestrian,Eventing,team,"CHIACCHIA, Darren",Men,USA,United States,X,Bronze +Athens,2004,Equestrian,Eventing,team,"BOITEAU, Arnaud",Men,FRA,France,X,Gold +Athens,2004,Equestrian,Eventing,team,"BRAKEWELL, Jeanette",Women,GBR,United Kingdom,X,Silver +Athens,2004,Equestrian,Eventing,team,"TRYON, Amy",Women,USA,United States,X,Bronze +Athens,2004,Equestrian,Eventing,team,"RICHARDS, Julie",Women,USA,United States,X,Bronze +Athens,2004,Equestrian,Eventing,team,"FOX-PITT, William",Men,GBR,United Kingdom,X,Silver +Athens,2004,Equestrian,Eventing,team,"LAW, Leslie",Men,GBR,United Kingdom,X,Silver +Athens,2004,Equestrian,Eventing,team,"LYARD, Cedric",Men,FRA,France,X,Gold +Athens,2004,Equestrian,Eventing,individual,"SEVERSON, Kimberly",Women,USA,United States,X,Silver +Athens,2004,Equestrian,Eventing,team,"COURREGES, Didier",Men,FRA,France,X,Gold +Athens,2004,Equestrian,Eventing,team,"SEVERSON, Kimberly",Women,USA,United States,X,Bronze +Athens,2004,Equestrian,Jumping,team,"ERIKSSON, Peter",Men,SWE,Sweden,X,Silver +Athens,2004,Equestrian,Jumping,team,"KAPPLER, Chris",Men,USA,United States,X,Gold +Athens,2004,Equestrian,Jumping,team,"MADDEN, Beezie",Women,USA,United States,X,Gold +Athens,2004,Equestrian,Jumping,team,"WARD, Mclain",Men,USA,United States,X,Gold +Athens,2004,Equestrian,Jumping,team,"AHLMANN, Christian",Men,GER,Germany,X,Bronze +Athens,2004,Equestrian,Jumping,individual,"KAPPLER, Chris",Men,USA,United States,X,Silver +Athens,2004,Equestrian,Jumping,team,"BENGTSSON, Rolf-Goran",Men,SWE,Sweden,X,Silver +Athens,2004,Equestrian,Jumping,team,"BECKER, Otto",Men,GER,Germany,X,Bronze +Athens,2004,Equestrian,Jumping,team,"BARYARD, Malin",Women,SWE,Sweden,X,Silver +Athens,2004,Equestrian,Jumping,individual,"PESSOA, Rodrigo",Men,BRA,Brazil,X,Gold +Athens,2004,Equestrian,Jumping,team,"WYLDE, Peter",Men,USA,United States,X,Gold +Athens,2004,Equestrian,Jumping,individual,"KUTSCHER, Marco",Men,GER,Germany,X,Bronze +Athens,2004,Equestrian,Jumping,team,"KUTSCHER, Marco",Men,GER,Germany,X,Bronze +Athens,2004,Equestrian,Jumping,team,"FREDERICSON, Peder",Men,SWE,Sweden,X,Silver +Athens,2004,Fencing,Fencing,sabre team,"TARANTINO, Luigi",Men,ITA,Italy,M,Silver +Athens,2004,Fencing,Fencing,foil team,"GANEEV, Renal",Men,RUS,Russia,M,Bronze +Athens,2004,Fencing,Fencing,épée team,"OBRY, Hughes",Men,FRA,France,M,Gold +Athens,2004,Fencing,Fencing,foil individual,"CASSARA, Andrea",Men,ITA,Italy,M,Bronze +Athens,2004,Fencing,Fencing,épée individual,"KOLOBKOV, Pavel",Men,RUS,Russia,M,Bronze +Athens,2004,Fencing,Fencing,épée team,"FLESSEL-COLOVIC, Laura",Women,FRA,France,W,Bronze +Athens,2004,Fencing,Fencing,sabre team,"CHARIKOV, Serguei",Men,RUS,Russia,M,Bronze +Athens,2004,Fencing,Fencing,sabre team,"DIATCHENKO, Alexei",Men,RUS,Russia,M,Bronze +Athens,2004,Fencing,Fencing,épée team,"HEIDEMANN, Britta",Women,GER,Germany,W,Silver +Athens,2004,Fencing,Fencing,sabre individual,"TRETIAK, Vladislav",Men,UKR,Ukraine,M,Bronze +Athens,2004,Fencing,Fencing,foil team,"POZDNIAKOV, Viatcheslav",Men,RUS,Russia,M,Bronze +Athens,2004,Fencing,Fencing,foil team,"SANZO, Salvatore",Men,ITA,Italy,M,Gold +Athens,2004,Fencing,Fencing,épée team,"IMRE, Geza",Men,HUN,Hungary,M,Silver +Athens,2004,Fencing,Fencing,sabre individual,"JACOBSON, Sada",Women,USA,United States,W,Bronze +Athens,2004,Fencing,Fencing,épée team,"LOGOUNOVA, Tatiana",Women,RUS,Russia,W,Gold +Athens,2004,Fencing,Fencing,épée team,"DANINTHE, Sarah",Women,FRA,France,W,Bronze +Athens,2004,Fencing,Fencing,sabre individual,"NEMCSIK, Zsolt",Men,HUN,Hungary,M,Silver +Athens,2004,Fencing,Fencing,épée team,"ERMAKOVA, Oxana",Women,RUS,Russia,W,Gold +Athens,2004,Fencing,Fencing,épée team,"BOISSE, Eric",Men,FRA,France,M,Gold +Athens,2004,Fencing,Fencing,sabre individual,"MONTANO, Aldo",Men,ITA,Italy,M,Gold +Athens,2004,Fencing,Fencing,épée individual,"WANG, Lei",Men,CHN,China,M,Silver +Athens,2004,Fencing,Fencing,épée individual,"NISIMA, Maureen",Women,FRA,France,W,Bronze +Athens,2004,Fencing,Fencing,foil team,"WU, Hanxiong",Men,CHN,China,M,Silver +Athens,2004,Fencing,Fencing,sabre team,"PILLET, Julien",Men,FRA,France,M,Gold +Athens,2004,Fencing,Fencing,foil team,"VANNI, Simone",Men,ITA,Italy,M,Gold +Athens,2004,Fencing,Fencing,sabre individual,"ZAGUNIS, Mariel",Women,USA,United States,W,Gold +Athens,2004,Fencing,Fencing,foil team,"MOLTCHAN, Youri",Men,RUS,Russia,M,Bronze +Athens,2004,Fencing,Fencing,foil individual,"VEZZALI, Valentina",Women,ITA,Italy,W,Gold +Athens,2004,Fencing,Fencing,épée team,"KOVACS, Ivan",Men,HUN,Hungary,M,Silver +Athens,2004,Fencing,Fencing,épée team,"KIRALY PICOT, Hajnalka",Women,FRA,France,W,Bronze +Athens,2004,Fencing,Fencing,sabre individual,"TAN, Xue",Women,CHN,China,W,Silver +Athens,2004,Fencing,Fencing,foil team,"YE, Chong",Men,CHN,China,M,Silver +Athens,2004,Fencing,Fencing,sabre team,"YAKIMENKO, Alexey",Men,RUS,Russia,M,Bronze +Athens,2004,Fencing,Fencing,épée team,"AZNAVOURIAN, Karina",Women,RUS,Russia,W,Gold +Athens,2004,Fencing,Fencing,foil team,"DONG, Zhaozhi",Men,CHN,China,M,Silver +Athens,2004,Fencing,Fencing,épée team,"SIVKOVA, Anna",Women,RUS,Russia,W,Gold +Athens,2004,Fencing,Fencing,épée team,"JEANNET, Jerome",Men,FRA,France,M,Gold +Athens,2004,Fencing,Fencing,foil team,"CASSARA, Andrea",Men,ITA,Italy,M,Gold +Athens,2004,Fencing,Fencing,épée team,"FIEDLER, Joerg",Men,GER,Germany,M,Bronze +Athens,2004,Fencing,Fencing,épée team,"BOCZKO, Gabor",Men,HUN,Hungary,M,Silver +Athens,2004,Fencing,Fencing,sabre team,"MONTANO, Aldo",Men,ITA,Italy,M,Silver +Athens,2004,Fencing,Fencing,épée team,"JEANNET, Fabrice",Men,FRA,France,M,Gold +Athens,2004,Fencing,Fencing,foil individual,"SANZO, Salvatore",Men,ITA,Italy,M,Silver +Athens,2004,Fencing,Fencing,épée team,"STRIGEL, Daniel",Men,GER,Germany,M,Bronze +Athens,2004,Fencing,Fencing,foil individual,"GRUCHALA, Sylwia",Women,POL,Poland,W,Bronze +Athens,2004,Fencing,Fencing,foil team,"WANG, Haibin",Men,CHN,China,M,Silver +Athens,2004,Fencing,Fencing,épée team,"DUPLITZER, Imke",Women,GER,Germany,W,Silver +Athens,2004,Fencing,Fencing,épée team,"NISIMA, Maureen",Women,FRA,France,W,Bronze +Athens,2004,Fencing,Fencing,épée individual,"FISCHER, Marcel",Men,SUI,Switzerland,M,Gold +Athens,2004,Fencing,Fencing,foil individual,"TRILLINI, Giovanna",Women,ITA,Italy,W,Silver +Athens,2004,Fencing,Fencing,foil team,"NASSIBOULLINE, Rouslan",Men,RUS,Russia,M,Bronze +Athens,2004,Fencing,Fencing,épée team,"SCHMID, Sven",Men,GER,Germany,M,Bronze +Athens,2004,Fencing,Fencing,sabre team,"TOUYA, Damien",Men,FRA,France,M,Gold +Athens,2004,Fencing,Fencing,sabre team,"PASTORE, Gianpiero",Men,ITA,Italy,M,Silver +Athens,2004,Fencing,Fencing,sabre team,"TOUYA, Gael",Men,FRA,France,M,Gold +Athens,2004,Fencing,Fencing,épée individual,"FLESSEL-COLOVIC, Laura",Women,FRA,France,W,Silver +Athens,2004,Fencing,Fencing,épée team,"KULCSAR, Krisztian",Men,HUN,Hungary,M,Silver +Athens,2004,Fencing,Fencing,sabre team,"POZDNYAKOV, Stanislav",Men,RUS,Russia,M,Bronze +Athens,2004,Fencing,Fencing,épée team,"BOKEL, Claudia",Women,GER,Germany,W,Silver +Athens,2004,Fencing,Fencing,épée individual,"NAGY, Timea",Women,HUN,Hungary,W,Gold +Athens,2004,Fencing,Fencing,foil individual,"GUYART, Brice",Men,FRA,France,M,Gold +Athens,2004,Football,Football,football,"MORETTI, Emiliano",Men,ITA,Italy,M,Bronze +Athens,2004,Football,Football,football,"GIMENEZ, Pablo",Men,PAR,Paraguay,M,Silver +Athens,2004,Football,Football,football,"HINGST, Ariane",Women,GER,Germany,W,Bronze +Athens,2004,Football,Football,football,"GONZALEZ, Julio",Men,PAR,Paraguay,M,Silver +Athens,2004,Football,Football,football,"FAWCETT, Joy",Women,USA,United States,W,Gold +Athens,2004,Football,Football,football,"ESQUIVEL, Celso",Men,PAR,Paraguay,M,Silver +Athens,2004,Football,Football,football,"MESTO, Giandomenico",Men,ITA,Italy,M,Bronze +Athens,2004,Football,Football,football,KELLY,Women,BRA,Brazil,W,Silver +Athens,2004,Football,Football,football,"ROTTENBERG, Silke",Women,GER,Germany,W,Bronze +Athens,2004,Football,Football,football,"SAVIOLA, Javier",Men,ARG,Argentina,M,Gold +Athens,2004,Football,Football,football,"GONZALEZ, Luis",Men,ARG,Argentina,M,Gold +Athens,2004,Football,Football,football,"RODRIGUEZ, Clemente Juan",Men,ARG,Argentina,M,Gold +Athens,2004,Football,Football,football,"BACHOR, Isabell",Women,GER,Germany,W,Bronze +Athens,2004,Football,Football,football,"DIAZ, Osvaldo",Men,PAR,Paraguay,M,Silver +Athens,2004,Football,Football,football,"MINNERT, Sandra",Women,GER,Germany,W,Bronze +Athens,2004,Football,Football,football,CRISTIANE,Women,BRA,Brazil,W,Silver +Athens,2004,Football,Football,football,ROSELI,Women,BRA,Brazil,W,Silver +Athens,2004,Football,Football,football,JULIANA,Women,BRA,Brazil,W,Silver +Athens,2004,Football,Football,football,"BURDISSO, Nicolas",Men,ARG,Argentina,M,Gold +Athens,2004,Football,Football,football,"PINZI, Giampiero",Men,ITA,Italy,M,Bronze +Athens,2004,Football,Football,football,"OMILADE, Navina",Women,GER,Germany,W,Bronze +Athens,2004,Football,Football,football,"WIMBERSKY, Petra",Women,GER,Germany,W,Bronze +Athens,2004,Football,Football,football,"TEVEZ, Carlos",Men,ARG,Argentina,M,Gold +Athens,2004,Football,Football,football,"AYALA, Roberto",Men,ARG,Argentina,M,Gold +Athens,2004,Football,Football,football,"MASCHERANO, Javier",Men,ARG,Argentina,M,Gold +Athens,2004,Football,Football,football,FORMIGA,Women,BRA,Brazil,W,Silver +Athens,2004,Football,Football,football,"BAREIRO, Fredy",Men,PAR,Paraguay,M,Silver +Athens,2004,Football,Football,football,"PRINZ, Birgit",Women,GER,Germany,W,Bronze +Athens,2004,Football,Football,football,"WAMBACH, Abby",Women,USA,United States,W,Gold +Athens,2004,Football,Football,football,"BOXX, Shannon",Women,USA,United States,W,Gold +Athens,2004,Football,Football,football,"DONADEL, Marco",Men,ITA,Italy,M,Bronze +Athens,2004,Football,Football,football,"GASBARRONI, Andrea",Men,ITA,Italy,M,Bronze +Athens,2004,Football,Football,football,"DELGADO, Cesar",Men,ARG,Argentina,M,Gold +Athens,2004,Football,Football,football,"WAGNER, Aly",Women,USA,United States,W,Gold +Athens,2004,Football,Football,football,"ENCISO, Julio Cesar",Men,PAR,Paraguay,M,Silver +Athens,2004,Football,Football,football,"CARDOZO, Jose",Men,PAR,Paraguay,M,Silver +Athens,2004,Football,Football,football,"WUNDERLICH, Pia",Women,GER,Germany,W,Bronze +Athens,2004,Football,Football,football,MAYCON,Women,BRA,Brazil,W,Silver +Athens,2004,Football,Football,football,"POHLERS, Conny",Women,GER,Germany,W,Bronze +Athens,2004,Football,Football,football,"PIRLO, Andrea",Men,ITA,Italy,M,Bronze +Athens,2004,Football,Football,football,"BENITEZ, Pedro",Men,PAR,Paraguay,M,Silver +Athens,2004,Football,Football,football,DANIELA,Women,BRA,Brazil,W,Silver +Athens,2004,Football,Football,football,"PALOMBO, Angelo",Men,ITA,Italy,M,Bronze +Athens,2004,Football,Football,football,"PELIZZOLI, Ivan",Men,ITA,Italy,M,Bronze +Athens,2004,Football,Football,football,"DEL NERO, Simone",Men,ITA,Italy,M,Bronze +Athens,2004,Football,Football,football,"TARPLEY, Lindsay",Women,USA,United States,W,Gold +Athens,2004,Football,Football,football,"BARRETO, Diego",Men,PAR,Paraguay,M,Silver +Athens,2004,Football,Football,football,"LINGOR, Renate",Women,GER,Germany,W,Bronze +Athens,2004,Football,Football,football,"LUX, German",Men,ARG,Argentina,M,Gold +Athens,2004,Football,Football,football,"PARLOW, Cindy",Women,USA,United States,W,Gold +Athens,2004,Football,Football,football,"GAREFREKES, Kerstin",Women,GER,Germany,W,Bronze +Athens,2004,Football,Football,football,"MEDINA, Nicolas",Men,ARG,Argentina,M,Gold +Athens,2004,Football,Football,football,"GONZALEZ, Cristian",Men,ARG,Argentina,M,Gold +Athens,2004,Football,Football,football,"GAMARRA, Carlos",Men,PAR,Paraguay,M,Silver +Athens,2004,Football,Football,football,"SCURRY, Briana",Women,USA,United States,W,Gold +Athens,2004,Football,Football,football,"FIGUEREDO, Diego",Men,PAR,Paraguay,M,Silver +Athens,2004,Football,Football,football,ALINE,Women,BRA,Brazil,W,Silver +Athens,2004,Football,Football,football,PRETINHA,Women,BRA,Brazil,W,Silver +Athens,2004,Football,Football,football,"HAMM, Mia",Women,USA,United States,W,Gold +Athens,2004,Football,Football,football,"BARZAGLI, Andrea",Men,ITA,Italy,M,Bronze +Athens,2004,Football,Football,football,"RENATA COSTA, Costa",Women,BRA,Brazil,W,Silver +Athens,2004,Football,Football,football,"REDDICK, Cat",Women,USA,United States,W,Gold +Athens,2004,Football,Football,football,"MITTS, Heather",Women,USA,United States,W,Gold +Athens,2004,Football,Football,football,"MARTINEZ, Emilio",Men,PAR,Paraguay,M,Silver +Athens,2004,Football,Football,football,"HEINZE, Gabriel",Men,ARG,Argentina,M,Gold +Athens,2004,Football,Football,football,"DE ROSSI, Daniele",Men,ITA,Italy,M,Bronze +Athens,2004,Football,Football,football,"COLOCCINI, Fabricio",Men,ARG,Argentina,M,Gold +Athens,2004,Football,Football,football,"CHASTAIN, Brandi",Women,USA,United States,W,Gold +Athens,2004,Football,Football,football,MARTA,Women,BRA,Brazil,W,Silver +Athens,2004,Football,Football,football,"TORRES, Aureliano",Men,PAR,Paraguay,M,Silver +Athens,2004,Football,Football,football,"RAMPONE, Christie",Women,USA,United States,W,Gold +Athens,2004,Football,Football,football,"CRISTALDO, Ernesto",Men,PAR,Paraguay,M,Silver +Athens,2004,Football,Football,football,"GUENTHER, Sarah",Women,GER,Germany,W,Bronze +Athens,2004,Football,Football,football,"STEGEMANN, Kerstin",Women,GER,Germany,W,Bronze +Athens,2004,Football,Football,football,"GILARDINO, Alberto",Men,ITA,Italy,M,Bronze +Athens,2004,Football,Football,football,"ODEBRECHT, Viola",Women,GER,Germany,W,Bronze +Athens,2004,Football,Football,football,ANDREIA,Women,BRA,Brazil,W,Silver +Athens,2004,Football,Football,football,"SCULLI, Giuseppe",Men,ITA,Italy,M,Bronze +Athens,2004,Football,Football,football,"MARKGRAF, Kate",Women,USA,United States,W,Gold +Athens,2004,Football,Football,football,"O REILLY, Heather",Women,USA,United States,W,Gold +Athens,2004,Football,Football,football,"BONERA, Daniele",Men,ITA,Italy,M,Bronze +Athens,2004,Football,Football,football,"BOVO, Cesare",Men,ITA,Italy,M,Bronze +Athens,2004,Football,Football,football,GRAZIELLE,Women,BRA,Brazil,W,Silver +Athens,2004,Football,Football,football,ROSANA,Women,BRA,Brazil,W,Silver +Athens,2004,Football,Football,football,"JONES, Steffi",Women,GER,Germany,W,Bronze +Athens,2004,Football,Football,football,"BARRETO, Edgar",Men,PAR,Paraguay,M,Silver +Athens,2004,Football,Football,football,"DEVACA, Jose",Men,PAR,Paraguay,M,Silver +Athens,2004,Football,Football,football,"FERRARI, Matteo",Men,ITA,Italy,M,Bronze +Athens,2004,Football,Football,football,"MUELLER, Martina",Women,GER,Germany,W,Bronze +Athens,2004,Football,Football,football,"LILLY, Kristine",Women,USA,United States,W,Gold +Athens,2004,Football,Football,football,"D ALESSANDRO, Andres",Men,ARG,Argentina,M,Gold +Athens,2004,Football,Football,football,"CHIELLINI, Giorgio",Men,ITA,Italy,M,Bronze +Athens,2004,Football,Football,football,ELAINE,Women,BRA,Brazil,W,Silver +Athens,2004,Football,Football,football,TANIA,Women,BRA,Brazil,W,Silver +Athens,2004,Football,Football,football,"MANZUR, Julio",Men,PAR,Paraguay,M,Silver +Athens,2004,Football,Football,football,"HUCLES, Angela",Women,USA,United States,W,Gold +Athens,2004,Football,Football,football,"FUSS, Sonja",Women,GER,Germany,W,Bronze +Athens,2004,Football,Football,football,MONICA,Women,BRA,Brazil,W,Silver +Athens,2004,Gymnastics,Artistic G.,team competition,"SOFRONIE, Nicoleta Daniela",Women,ROU,Romania,W,Gold +Athens,2004,Gymnastics,Artistic G.,team competition,"ZAMOLODCHIKOVA, Elena",Women,RUS,Russia,W,Bronze +Athens,2004,Gymnastics,Artistic G.,team competition,"WILSON, Blaine",Men,USA,United States,M,Silver +Athens,2004,Gymnastics,Artistic G.,rings,"CHECHI, Juri",Men,ITA,Italy,M,Bronze +Athens,2004,Gymnastics,Artistic G.,rings,"TAMPAKOS, Dimosthenis",Men,GRE,Greece,M,Gold +Athens,2004,Gymnastics,Artistic G.,vault,"HATCH, Annia",Women,USA,United States,W,Silver +Athens,2004,Gymnastics,Artistic G.,floor exercises,"SOFRONIE, Nicoleta Daniela",Women,ROU,Romania,W,Silver +Athens,2004,Gymnastics,Artistic G.,parallel bars,"LI, Xiaopeng",Men,CHN,China,M,Bronze +Athens,2004,Gymnastics,Artistic G.,team competition,"KUPETS, Courtney",Women,USA,United States,W,Silver +Athens,2004,Gymnastics,Artistic G.,team competition,"YOUNG, Guard",Men,USA,United States,M,Silver +Athens,2004,Gymnastics,Artistic G.,floor exercises,"DRAGULESCU, Marian",Men,ROU,Romania,M,Silver +Athens,2004,Gymnastics,Artistic G.,team competition,"URZICA, Marius Daniel",Men,ROU,Romania,M,Bronze +Athens,2004,Gymnastics,Artistic G.,team competition,"KHORKINA, Svetlana",Women,RUS,Russia,W,Bronze +Athens,2004,Gymnastics,Artistic G.,team competition,"GATSON, Jason",Men,USA,United States,M,Silver +Athens,2004,Gymnastics,Artistic G.,team competition,"NAKANO, Daisuke",Men,JPN,Japan,M,Gold +Athens,2004,Gymnastics,Artistic G.,team competition,"PATTERSON, Carly",Women,USA,United States,W,Silver +Athens,2004,Gymnastics,Artistic G.,floor exercises,"MORENO, Patricia",Women,ESP,Spain,W,Bronze +Athens,2004,Gymnastics,Artistic G.,vault,"DRAGULESCU, Marian",Men,ROU,Romania,M,Bronze +Athens,2004,Gymnastics,Artistic G.,horizontal bar,"CASSINA, Igor",Men,ITA,Italy,M,Gold +Athens,2004,Gymnastics,Artistic G.,horizontal bar,"HAMM, Paul",Men,USA,United States,M,Silver +Athens,2004,Gymnastics,Artistic G.,floor exercises,"PONOR, Catalina",Women,ROU,Romania,W,Gold +Athens,2004,Gymnastics,Artistic G.,team competition,"MIZUTORI, Hisashi",Men,JPN,Japan,M,Gold +Athens,2004,Gymnastics,Artistic G.,balance beam,"EREMIA, Alexandra Georgiana",Women,ROU,Romania,W,Bronze +Athens,2004,Gymnastics,Artistic G.,team competition,"POTRA, Dan Nicolae",Men,ROU,Romania,M,Bronze +Athens,2004,Gymnastics,Artistic G.,team competition,"ROSU, Monica",Women,ROU,Romania,W,Gold +Athens,2004,Gymnastics,Artistic G.,team competition,"EZHOVA, Liudmila",Women,RUS,Russia,W,Bronze +Athens,2004,Gymnastics,Artistic G.,pommel horse,"KASHIMA, Takehiro",Men,JPN,Japan,M,Bronze +Athens,2004,Gymnastics,Artistic G.,balance beam,"PONOR, Catalina",Women,ROU,Romania,W,Gold +Athens,2004,Gymnastics,Artistic G.,vault,"PAVLOVA, Anna",Women,RUS,Russia,W,Bronze +Athens,2004,Gymnastics,Artistic G.,pommel horse,"TENG, Haibin",Men,CHN,China,M,Gold +Athens,2004,Gymnastics,Artistic G.,individual all-round,"ZHANG, Nan",Women,CHN,China,W,Bronze +Athens,2004,Gymnastics,Artistic G.,team competition,"KRIOUTCHKOVA, Maria",Women,RUS,Russia,W,Bronze +Athens,2004,Gymnastics,Artistic G.,individual all-round,"KHORKINA, Svetlana",Women,RUS,Russia,W,Silver +Athens,2004,Gymnastics,Artistic G.,vault,"DEFERR, Gervasio",Men,ESP,Spain,M,Gold +Athens,2004,Gymnastics,Artistic G.,team competition,"HATCH, Annia",Women,USA,United States,W,Silver +Athens,2004,Gymnastics,Artistic G.,team competition,"POPESCU, Daniel",Men,ROU,Romania,M,Bronze +Athens,2004,Gymnastics,Artistic G.,team competition,"HAMM, Paul",Men,USA,United States,M,Silver +Athens,2004,Gymnastics,Artistic G.,team competition,"STROESCU, Silvia",Women,ROU,Romania,W,Gold +Athens,2004,Gymnastics,Artistic G.,individual all-round,"KIM, Dae Eun",Men,KOR,"Korea, South",M,Silver +Athens,2004,Gymnastics,Artistic G.,uneven bars,"HUMPHREY, Terin",Women,USA,United States,W,Silver +Athens,2004,Gymnastics,Artistic G.,team competition,"HUMPHREY, Terin",Women,USA,United States,W,Silver +Athens,2004,Gymnastics,Artistic G.,parallel bars,"TOMITA, Hiroyuki",Men,JPN,Japan,M,Silver +Athens,2004,Gymnastics,Artistic G.,uneven bars,"KUPETS, Courtney",Women,USA,United States,W,Bronze +Athens,2004,Gymnastics,Artistic G.,individual all-round,"HAMM, Paul",Men,USA,United States,M,Gold +Athens,2004,Gymnastics,Artistic G.,team competition,"ZIGANCHINA, Natalia",Women,RUS,Russia,W,Bronze +Athens,2004,Gymnastics,Artistic G.,rings,"IOVTCHEV, Iordan",Men,BUL,Bulgaria,M,Silver +Athens,2004,Gymnastics,Artistic G.,team competition,"PONOR, Catalina",Women,ROU,Romania,W,Gold +Athens,2004,Gymnastics,Artistic G.,vault,"SAPRONENKO, Evgeni",Men,LAT,Latvia,M,Silver +Athens,2004,Gymnastics,Artistic G.,team competition,"YONEDA, Isao",Men,JPN,Japan,M,Gold +Athens,2004,Gymnastics,Artistic G.,team competition,"BHARDWAJ, Mohini",Women,USA,United States,W,Silver +Athens,2004,Gymnastics,Artistic G.,balance beam,"PATTERSON, Carly",Women,USA,United States,W,Silver +Athens,2004,Gymnastics,Artistic G.,uneven bars,"LEPENNEC, Emilie",Women,FRA,France,W,Gold +Athens,2004,Gymnastics,Artistic G.,team competition,"PAVLOVA, Anna",Women,RUS,Russia,W,Bronze +Athens,2004,Gymnastics,Artistic G.,floor exercises,"IOVTCHEV, Iordan",Men,BUL,Bulgaria,M,Bronze +Athens,2004,Gymnastics,Artistic G.,individual all-round,"PATTERSON, Carly",Women,USA,United States,W,Gold +Athens,2004,Gymnastics,Artistic G.,team competition,"BAN, Oana",Women,ROU,Romania,W,Gold +Athens,2004,Gymnastics,Artistic G.,team competition,"TOMITA, Hiroyuki",Men,JPN,Japan,M,Gold +Athens,2004,Gymnastics,Artistic G.,floor exercises,"SHEWFELT, Kyle",Men,CAN,Canada,M,Gold +Athens,2004,Gymnastics,Artistic G.,team competition,"KASHIMA, Takehiro",Men,JPN,Japan,M,Gold +Athens,2004,Gymnastics,Artistic G.,horizontal bar,"YONEDA, Isao",Men,JPN,Japan,M,Bronze +Athens,2004,Gymnastics,Artistic G.,individual all-round,"YANG, Tae Young",Men,KOR,"Korea, South",M,Bronze +Athens,2004,Gymnastics,Artistic G.,pommel horse,"URZICA, Marius Daniel",Men,ROU,Romania,M,Silver +Athens,2004,Gymnastics,Artistic G.,team competition,"MCCLURE, Brett",Men,USA,United States,M,Silver +Athens,2004,Gymnastics,Artistic G.,team competition,"MCCOOL, Courtney",Women,USA,United States,W,Silver +Athens,2004,Gymnastics,Artistic G.,team competition,"SELARIU, Razvan Dorin",Men,ROU,Romania,M,Bronze +Athens,2004,Gymnastics,Artistic G.,team competition,"DRAGULESCU, Marian",Men,ROU,Romania,M,Bronze +Athens,2004,Gymnastics,Artistic G.,team competition,"TSUKAHARA, Naoya",Men,JPN,Japan,M,Gold +Athens,2004,Gymnastics,Artistic G.,team competition,"HAMM, Morgan",Men,USA,United States,M,Silver +Athens,2004,Gymnastics,Artistic G.,team competition,"EREMIA, Alexandra Georgiana",Women,ROU,Romania,W,Gold +Athens,2004,Gymnastics,Artistic G.,team competition,"SUCIU, Ioan Silviu",Men,ROU,Romania,M,Bronze +Athens,2004,Gymnastics,Artistic G.,parallel bars,"GONCHAROV, Valeri",Men,UKR,Ukraine,M,Gold +Athens,2004,Gymnastics,Artistic G.,vault,"ROSU, Monica",Women,ROU,Romania,W,Gold +Athens,2004,Gymnastics,Rhythmic G.,group competition,"MURZINA, Elena",Women,RUS,Russia,W,Gold +Athens,2004,Gymnastics,Rhythmic G.,group competition,"FALCA, Marinella",Women,ITA,Italy,W,Silver +Athens,2004,Gymnastics,Rhythmic G.,individual all-round,"TCHACHINA, Irina",Women,RUS,Russia,W,Silver +Athens,2004,Gymnastics,Rhythmic G.,group competition,"SANTONI, Elisa",Women,ITA,Italy,W,Silver +Athens,2004,Gymnastics,Rhythmic G.,group competition,"ILIEVA, Zhaneta",Women,BUL,Bulgaria,W,Bronze +Athens,2004,Gymnastics,Rhythmic G.,group competition,"BELUGUINA, Olesia",Women,RUS,Russia,W,Gold +Athens,2004,Gymnastics,Rhythmic G.,group competition,"POSEVINA, Elena",Women,RUS,Russia,W,Gold +Athens,2004,Gymnastics,Rhythmic G.,group competition,"MASSERONI, Daniela",Women,ITA,Italy,W,Silver +Athens,2004,Gymnastics,Rhythmic G.,individual all-round,"KABAEVA, Alina",Women,RUS,Russia,W,Gold +Athens,2004,Gymnastics,Rhythmic G.,group competition,"D'OTTAVIO, Fabrizia",Women,ITA,Italy,W,Silver +Athens,2004,Gymnastics,Rhythmic G.,group competition,"LAVROVA, Natalia",Women,RUS,Russia,W,Gold +Athens,2004,Gymnastics,Rhythmic G.,group competition,"GLATSKIKH, Olga",Women,RUS,Russia,W,Gold +Athens,2004,Gymnastics,Rhythmic G.,group competition,"KURBAKOVA, Tatiana",Women,RUS,Russia,W,Gold +Athens,2004,Gymnastics,Rhythmic G.,group competition,"MARINOVA, Zornitsa",Women,BUL,Bulgaria,W,Bronze +Athens,2004,Gymnastics,Rhythmic G.,group competition,"RANGUELOVA, Kristina",Women,BUL,Bulgaria,W,Bronze +Athens,2004,Gymnastics,Rhythmic G.,group competition,"KEZHOVA, Eleonora",Women,BUL,Bulgaria,W,Bronze +Athens,2004,Gymnastics,Rhythmic G.,group competition,"TANCHEVA, Vladislava",Women,BUL,Bulgaria,W,Bronze +Athens,2004,Gymnastics,Rhythmic G.,individual all-round,"BESSONOVA, Anna",Women,UKR,Ukraine,W,Bronze +Athens,2004,Gymnastics,Rhythmic G.,group competition,"VERNIZZI, Laura",Women,ITA,Italy,W,Silver +Athens,2004,Gymnastics,Rhythmic G.,group competition,"BLANCHI, Elisa",Women,ITA,Italy,W,Silver +Athens,2004,Gymnastics,Rhythmic G.,group competition,"TANCHEVA, Galina",Women,BUL,Bulgaria,W,Bronze +Athens,2004,Gymnastics,Trampoline,individual,"MOSKALENKO, Alexander",Men,RUS,Russia,M,Silver +Athens,2004,Gymnastics,Trampoline,individual,"DOGONADZE, Anna",Women,GER,Germany,W,Gold +Athens,2004,Gymnastics,Trampoline,individual,"STEHLIK, Henrik",Men,GER,Germany,M,Bronze +Athens,2004,Gymnastics,Trampoline,individual,"NIKITIN, Yuri",Men,UKR,Ukraine,M,Gold +Athens,2004,Gymnastics,Trampoline,individual,"HUANG, Shanshan",Women,CHN,China,W,Bronze +Athens,2004,Gymnastics,Trampoline,individual,"COCKBURN, Karen",Women,CAN,Canada,W,Silver +Athens,2004,Handball,Handball,handball,"FRITZ, Henning",Men,GER,Germany,M,Silver +Athens,2004,Handball,Handball,handball,"LYAPINA, Nataliya",Women,UKR,Ukraine,W,Bronze +Athens,2004,Handball,Handball,handball,"NOERGAARD, Louise Bager",Women,DEN,Denmark,W,Gold +Athens,2004,Handball,Handball,handball,"TOURAY, Josephine",Women,DEN,Denmark,W,Gold +Athens,2004,Handball,Handball,handball,"KRETZSCHMAR, Stefan",Men,GER,Germany,M,Silver +Athens,2004,Handball,Handball,handball,"KALEB, Niksa",Men,CRO,Croatia,M,Gold +Athens,2004,Handball,Handball,handball,"LEE, Sang-Eun",Women,KOR,"Korea, South",W,Silver +Athens,2004,Handball,Handball,handball,"BORYSENKO, Nataliya",Women,UKR,Ukraine,W,Bronze +Athens,2004,Handball,Handball,handball,"MOON, Kyeong Ha",Women,KOR,"Korea, South",W,Silver +Athens,2004,Handball,Handball,handball,"KIM, Hyun Ok",Women,KOR,"Korea, South",W,Silver +Athens,2004,Handball,Handball,handball,"TORGOVANOV, Dmitri",Men,RUS,Russia,M,Bronze +Athens,2004,Handball,Handball,handball,"BASHKIN, Pavel",Men,RUS,Russia,M,Bronze +Athens,2004,Handball,Handball,handball,"SKOV, Rikke",Women,DEN,Denmark,W,Gold +Athens,2004,Handball,Handball,handball,"HUH, Soonyoung",Women,KOR,"Korea, South",W,Silver +Athens,2004,Handball,Handball,handball,"SIUKALO, Ganna",Women,UKR,Ukraine,W,Bronze +Athens,2004,Handball,Handball,handball,"TUCHKIN, Alexandre",Men,RUS,Russia,M,Bronze +Athens,2004,Handball,Handball,handball,"RAYHEL, Oxana",Women,UKR,Ukraine,W,Bronze +Athens,2004,Handball,Handball,handball,"RADCHENKO, Olena",Women,UKR,Ukraine,W,Bronze +Athens,2004,Handball,Handball,handball,"OH, Seongok",Women,KOR,"Korea, South",W,Silver +Athens,2004,Handball,Handball,handball,"LEE, Gong Joo",Women,KOR,"Korea, South",W,Silver +Athens,2004,Handball,Handball,handball,"KOKCHAROV, Eduard",Men,RUS,Russia,M,Bronze +Athens,2004,Handball,Handball,handball,"HONCHAROVA, Iryna",Women,UKR,Ukraine,W,Bronze +Athens,2004,Handball,Handball,handball,"SCHWARZER, Christian",Men,GER,Germany,M,Silver +Athens,2004,Handball,Handball,handball,"SHEVCHENKO, Lyudmyla",Women,UKR,Ukraine,W,Bronze +Athens,2004,Handball,Handball,handball,"WOO, Sun Hee",Women,KOR,"Korea, South",W,Silver +Athens,2004,Handball,Handball,handball,"SHINKARENKO, Tetyana",Women,UKR,Ukraine,W,Bronze +Athens,2004,Handball,Handball,handball,"VORI, Igor",Men,CRO,Croatia,M,Gold +Athens,2004,Handball,Handball,handball,"MARKUSHEVSKA, Galyna",Women,UKR,Ukraine,W,Bronze +Athens,2004,Handball,Handball,handball,"KRIVOSHLYKOV, Denis",Men,RUS,Russia,M,Bronze +Athens,2004,Handball,Handball,handball,"ZRNIC, Vedran",Men,CRO,Croatia,M,Gold +Athens,2004,Handball,Handball,handball,"HENS, Pascal",Men,GER,Germany,M,Silver +Athens,2004,Handball,Handball,handball,"IMMEL, Jan Olaf",Men,GER,Germany,M,Silver +Athens,2004,Handball,Handball,handball,"CHOI, Im Jeong",Women,KOR,"Korea, South",W,Silver +Athens,2004,Handball,Handball,handball,"LACKOVIC, Blazenko",Men,CRO,Croatia,M,Gold +Athens,2004,Handball,Handball,handball,"DRAGUNSKI, Mark",Men,GER,Germany,M,Silver +Athens,2004,Handball,Handball,handball,"KIM, Cha Youn",Women,KOR,"Korea, South",W,Silver +Athens,2004,Handball,Handball,handball,"LAVROV, Andrey",Men,RUS,Russia,M,Bronze +Athens,2004,Handball,Handball,handball,"VON BEHREN, Frank",Men,GER,Germany,M,Silver +Athens,2004,Handball,Handball,handball,"IVANOV, Vitali",Men,RUS,Russia,M,Bronze +Athens,2004,Handball,Handball,handball,"MYOUNG, Bok Hee",Women,KOR,"Korea, South",W,Silver +Athens,2004,Handball,Handball,handball,"BALIC, Ivano",Men,CRO,Croatia,M,Gold +Athens,2004,Handball,Handball,handball,"JOERGENSEN, Rikke Hoerlykke",Women,DEN,Denmark,W,Gold +Athens,2004,Handball,Handball,handball,"KIAERSKOU, Lotte",Women,DEN,Denmark,W,Gold +Athens,2004,Handball,Handball,handball,"STEPHAN, Daniel",Men,GER,Germany,M,Silver +Athens,2004,Handball,Handball,handball,"MATOSEVIC, Valter",Men,CRO,Croatia,M,Gold +Athens,2004,Handball,Handball,handball,"DOMINIKOVIC, Davor",Men,CRO,Croatia,M,Gold +Athens,2004,Handball,Handball,handball,"ZASPA, Larysa",Women,UKR,Ukraine,W,Bronze +Athens,2004,Handball,Handball,handball,"VESTERGAARD LARSEN, Mette",Women,DEN,Denmark,W,Gold +Athens,2004,Handball,Handball,handball,"VERGELYUK, Maryna",Women,UKR,Ukraine,W,Bronze +Athens,2004,Handball,Handball,handball,"JENSEN, Trine",Women,DEN,Denmark,W,Gold +Athens,2004,Handball,Handball,handball,"PETERSEN, Klaus-Dieter",Men,GER,Germany,M,Silver +Athens,2004,Handball,Handball,handball,"KOSTYGOV, Alexey",Men,RUS,Russia,M,Bronze +Athens,2004,Handball,Handball,handball,"METLICIC, Petar",Men,CRO,Croatia,M,Gold +Athens,2004,Handball,Handball,handball,"LOSERT, Venio",Men,CRO,Croatia,M,Gold +Athens,2004,Handball,Handball,handball,"SCHMIDT, Rikke",Women,DEN,Denmark,W,Gold +Athens,2004,Handball,Handball,handball,"BROEDSGAARD, Karen",Women,DEN,Denmark,W,Gold +Athens,2004,Handball,Handball,handball,"SPREM, Goran",Men,CRO,Croatia,M,Gold +Athens,2004,Handball,Handball,handball,"ZEITZ, Christian",Men,GER,Germany,M,Silver +Athens,2004,Handball,Handball,handball,"JANSEN, Torsten",Men,GER,Germany,M,Silver +Athens,2004,Handball,Handball,handball,"SPOLJARIC, Denis",Men,CRO,Croatia,M,Gold +Athens,2004,Handball,Handball,handball,"TSYGITSA, Olena",Women,UKR,Ukraine,W,Bronze +Athens,2004,Handball,Handball,handball,"MIKKELSEN, Henriette Roende",Women,DEN,Denmark,W,Gold +Athens,2004,Handball,Handball,handball,"KULESHOV, Oleg",Men,RUS,Russia,M,Bronze +Athens,2004,Handball,Handball,handball,"GOLUZA, Slavko",Men,CRO,Croatia,M,Gold +Athens,2004,Handball,Handball,handball,"YATSENKO, Olena",Women,UKR,Ukraine,W,Bronze +Athens,2004,Handball,Handball,handball,"THOMSEN, Camilla Ingemann",Women,DEN,Denmark,W,Gold +Athens,2004,Handball,Handball,handball,"BAUR, Markus",Men,GER,Germany,M,Silver +Athens,2004,Handball,Handball,handball,"LIM, O Kyeong",Women,KOR,"Korea, South",W,Silver +Athens,2004,Handball,Handball,handball,"CHIPURIN, Mikhail",Men,RUS,Russia,M,Bronze +Athens,2004,Handball,Handball,handball,"FRUELUND, Katrine",Women,DEN,Denmark,W,Gold +Athens,2004,Handball,Handball,handball,"JANG, So Hee",Women,KOR,"Korea, South",W,Silver +Athens,2004,Handball,Handball,handball,"RAMOTA, Christian",Men,GER,Germany,M,Silver +Athens,2004,Handball,Handball,handball,"BORODINA, Anastasiya",Women,UKR,Ukraine,W,Bronze +Athens,2004,Handball,Handball,handball,"GORBATIKOV, Alexander",Men,RUS,Russia,M,Bronze +Athens,2004,Handball,Handball,handball,"DAUGAARD, Line",Women,DEN,Denmark,W,Gold +Athens,2004,Handball,Handball,handball,"ANDERSEN, Kristine",Women,DEN,Denmark,W,Gold +Athens,2004,Handball,Handball,handball,"GORPICHIN, Viatcheslav",Men,RUS,Russia,M,Bronze +Athens,2004,Handball,Handball,handball,"ZERBE, Volker",Men,GER,Germany,M,Silver +Athens,2004,Handball,Handball,handball,"MOON, Pil Hee",Women,KOR,"Korea, South",W,Silver +Athens,2004,Handball,Handball,handball,"SOLA, Vlado",Men,CRO,Croatia,M,Gold +Athens,2004,Handball,Handball,handball,"HUH, Young Sook",Women,KOR,"Korea, South",W,Silver +Athens,2004,Handball,Handball,handball,"KEHRMANN, Florian",Men,GER,Germany,M,Silver +Athens,2004,Handball,Handball,handball,"OH, Yong Ran",Women,KOR,"Korea, South",W,Silver +Athens,2004,Handball,Handball,handball,"BURMYSTROVA, Ganna",Women,UKR,Ukraine,W,Bronze +Athens,2004,Handball,Handball,handball,"DZOMBA, Mirza",Men,CRO,Croatia,M,Gold +Athens,2004,Handball,Handball,handball,"POGORELOV, Serguei",Men,RUS,Russia,M,Bronze +Athens,2004,Handball,Handball,handball,"RASTVORTSEV, Alexey",Men,RUS,Russia,M,Bronze +Athens,2004,Handball,Handball,handball,"MORTENSEN, Karin Oernhoej",Women,DEN,Denmark,W,Gold +Athens,2004,Hockey,Hockey,hockey,"HAMMOND, Robert",Men,AUS,Australia,M,Gold +Athens,2004,Hockey,Hockey,hockey,"LEHMANN, Sonja",Women,GER,Germany,W,Gold +Athens,2004,Hockey,Hockey,hockey,"EIMER, Christoph",Men,GER,Germany,M,Bronze +Athens,2004,Hockey,Hockey,hockey,"GUDE, Franziska",Women,GER,Germany,W,Gold +Athens,2004,Hockey,Hockey,hockey,"LATIF, Badri",Women,GER,Germany,W,Gold +Athens,2004,Hockey,Hockey,hockey,"DERIKX, Geert-Jan",Men,NED,Netherlands,M,Silver +Athens,2004,Hockey,Hockey,hockey,"BECHMANN, Christoph",Men,GER,Germany,M,Bronze +Athens,2004,Hockey,Hockey,hockey,"DELMEE, Jeroen",Men,NED,Netherlands,M,Silver +Athens,2004,Hockey,Hockey,hockey,"SCHULTE, Christian",Men,GER,Germany,M,Bronze +Athens,2004,Hockey,Hockey,hockey,"RECKERS, Rob",Men,NED,Netherlands,M,Silver +Athens,2004,Hockey,Hockey,hockey,"GEORGE, Bevan",Men,AUS,Australia,M,Gold +Athens,2004,Hockey,Hockey,hockey,"KLECKER, Denise",Women,GER,Germany,W,Gold +Athens,2004,Hockey,Hockey,hockey,"SNOEKS, Jiske",Women,NED,Netherlands,W,Silver +Athens,2004,Hockey,Hockey,hockey,"STEPNIK, Ayelen Iara",Women,ARG,Argentina,W,Bronze +Athens,2004,Hockey,Hockey,hockey,"ZWEHL, Julia",Women,GER,Germany,W,Gold +Athens,2004,Hockey,Hockey,hockey,"RUSSO, Marine",Women,ARG,Argentina,W,Bronze +Athens,2004,Hockey,Hockey,hockey,"EIKELBOOM, Marten",Men,NED,Netherlands,M,Silver +Athens,2004,Hockey,Hockey,hockey,"SINNIGE, Clarinda",Women,NED,Netherlands,W,Silver +Athens,2004,Hockey,Hockey,hockey,"DE BRUIJN, Chantal",Women,NED,Netherlands,W,Silver +Athens,2004,Hockey,Hockey,hockey,"DWYER, Jamie",Men,AUS,Australia,M,Gold +Athens,2004,Hockey,Hockey,hockey,"ROGNONI, Maria Cecilia",Women,ARG,Argentina,W,Bronze +Athens,2004,Hockey,Hockey,hockey,"RODEWALD, Marion",Women,GER,Germany,W,Gold +Athens,2004,Hockey,Hockey,hockey,"REINELT, Sascha",Men,GER,Germany,M,Bronze +Athens,2004,Hockey,Hockey,hockey,"ARRONDO, Ines",Women,ARG,Argentina,W,Bronze +Athens,2004,Hockey,Hockey,hockey,"SCHAROWSKY, Justus",Men,GER,Germany,M,Bronze +Athens,2004,Hockey,Hockey,hockey,"HERNANDEZ, Maria de la Paz",Women,ARG,Argentina,W,Bronze +Athens,2004,Hockey,Hockey,hockey,"HAASE, Mandy",Women,GER,Germany,W,Gold +Athens,2004,Hockey,Hockey,hockey,"LAETZSCH, Heike",Women,GER,Germany,W,Gold +Athens,2004,Hockey,Hockey,hockey,"ERNSTING KRIENKE, Nadine",Women,GER,Germany,W,Gold +Athens,2004,Hockey,Hockey,hockey,"MICHEL, Bjoern",Men,GER,Germany,M,Bronze +Athens,2004,Hockey,Hockey,hockey,"GARCIA, Agustina",Women,ARG,Argentina,W,Bronze +Athens,2004,Hockey,Hockey,hockey,"EGLINGTON, Nathan",Men,AUS,Australia,M,Gold +Athens,2004,Hockey,Hockey,hockey,"ARNOLD, Clemens",Men,GER,Germany,M,Bronze +Athens,2004,Hockey,Hockey,hockey,"MOWLAM, Stephen",Men,AUS,Australia,M,Gold +Athens,2004,Hockey,Hockey,hockey,"BOOIJ, Minke",Women,NED,Netherlands,W,Silver +Athens,2004,Hockey,Hockey,hockey,"DE NOOIJER, Teun",Men,NED,Netherlands,M,Silver +Athens,2004,Hockey,Hockey,hockey,"MCCANN, Michael",Men,AUS,Australia,M,Gold +Athens,2004,Hockey,Hockey,hockey,"AICEGA, Magdalena",Women,ARG,Argentina,W,Bronze +Athens,2004,Hockey,Hockey,hockey,"ANTONISKA, Mariela",Women,ARG,Argentina,W,Bronze +Athens,2004,Hockey,Hockey,hockey,"TAEKEMA, Teake",Men,NED,Netherlands,M,Silver +Athens,2004,Hockey,Hockey,hockey,"LIVERMORE, Brent",Men,AUS,Australia,M,Gold +Athens,2004,Hockey,Hockey,hockey,"DI GIACOMO, Marina Emilce",Women,ARG,Argentina,W,Bronze +Athens,2004,Hockey,Hockey,hockey,"BROOKS, Travis",Men,AUS,Australia,M,Gold +Athens,2004,Hockey,Hockey,hockey,"BACHMANN, Tina",Women,GER,Germany,W,Gold +Athens,2004,Hockey,Hockey,hockey,"WELLS, Matthew",Men,AUS,Australia,M,Gold +Athens,2004,Hockey,Hockey,hockey,"VAN DER WEIDE, Sander",Men,NED,Netherlands,M,Silver +Athens,2004,Hockey,Hockey,hockey,"EMMERLING, Bjoern",Men,GER,Germany,M,Bronze +Athens,2004,Hockey,Hockey,hockey,"WEISSENBORN, Tibor",Men,GER,Germany,M,Bronze +Athens,2004,Hockey,Hockey,hockey,"DE ROEVER, Lisanne",Women,NED,Netherlands,W,Silver +Athens,2004,Hockey,Hockey,hockey,"VOGELS, Guus",Men,NED,Netherlands,M,Silver +Athens,2004,Hockey,Hockey,hockey,"KUNZ, Florian",Men,GER,Germany,M,Bronze +Athens,2004,Hockey,Hockey,hockey,"BUTLER, Dean",Men,AUS,Australia,M,Gold +Athens,2004,Hockey,Hockey,hockey,"KUEHN, Anke",Women,GER,Germany,W,Gold +Athens,2004,Hockey,Hockey,hockey,"GONZALEZ OLIVA, Mariana",Women,ARG,Argentina,W,Bronze +Athens,2004,Hockey,Hockey,hockey,"VAN GEENHUIZEN, Miek",Women,NED,Netherlands,W,Silver +Athens,2004,Hockey,Hockey,hockey,"MULDER, Eefke",Women,NED,Netherlands,W,Silver +Athens,2004,Hockey,Hockey,hockey,"BIEDERLACK, Sebastian",Men,GER,Germany,M,Bronze +Athens,2004,Hockey,Hockey,hockey,"CRONE, Philipp",Men,GER,Germany,M,Bronze +Athens,2004,Hockey,Hockey,hockey,"MUELLER, Silke",Women,GER,Germany,W,Gold +Athens,2004,Hockey,Hockey,hockey,"VUKOJICIC, Paola",Women,ARG,Argentina,W,Bronze +Athens,2004,Hockey,Hockey,hockey,"ONETO, Vanina Paula",Women,ARG,Argentina,W,Bronze +Athens,2004,Hockey,Hockey,hockey,"MAHIEU, Jesse",Men,NED,Netherlands,M,Silver +Athens,2004,Hockey,Hockey,hockey,"SMABERS, Minke",Women,NED,Netherlands,W,Silver +Athens,2004,Hockey,Hockey,hockey,"DUCKWITZ, Eike",Men,GER,Germany,M,Bronze +Athens,2004,Hockey,Hockey,hockey,"WALTER, Louisa",Women,GER,Germany,W,Gold +Athens,2004,Hockey,Hockey,hockey,"HICKMAN, Mark",Men,AUS,Australia,M,Gold +Athens,2004,Hockey,Hockey,hockey,"KELLER, Natascha",Women,GER,Germany,W,Gold +Athens,2004,Hockey,Hockey,hockey,"VAN KESSEL, Lieve",Women,NED,Netherlands,W,Silver +Athens,2004,Hockey,Hockey,hockey,"DE YOUNG, Liam",Men,AUS,Australia,M,Gold +Athens,2004,Hockey,Hockey,hockey,"GULLA, Alejandra",Women,ARG,Argentina,W,Bronze +Athens,2004,Hockey,Hockey,hockey,"KLAVER, Karel",Men,NED,Netherlands,M,Silver +Athens,2004,Hockey,Hockey,hockey,"JAZET, Erik",Men,NED,Netherlands,M,Silver +Athens,2004,Hockey,Hockey,hockey,"VEERING, Klaas",Men,NED,Netherlands,M,Silver +Athens,2004,Hockey,Hockey,hockey,"BURKART, Claudia",Women,ARG,Argentina,W,Bronze +Athens,2004,Hockey,Hockey,hockey,"WESS, Timo",Men,GER,Germany,M,Bronze +Athens,2004,Hockey,Hockey,hockey,"CASARETTO, Caroline",Women,GER,Germany,W,Gold +Athens,2004,Hockey,Hockey,hockey,"VAN DER VAART, Macha",Women,NED,Netherlands,W,Silver +Athens,2004,Hockey,Hockey,hockey,"MOREIRA DE MELO, Fatima",Women,NED,Netherlands,W,Silver +Athens,2004,Hockey,Hockey,hockey,"BRENNAN, Michael",Men,AUS,Australia,M,Gold +Athens,2004,Hockey,Hockey,hockey,"MARGALOT, Maria Mercedes",Women,ARG,Argentina,W,Bronze +Athens,2004,Hockey,Hockey,hockey,"KNOWLES, Mark",Men,AUS,Australia,M,Gold +Athens,2004,Hockey,Hockey,hockey,"SCHEEPSTRA, Maartje",Women,NED,Netherlands,W,Silver +Athens,2004,Hockey,Hockey,hockey,"EVERS, Floris",Men,NED,Netherlands,M,Silver +Athens,2004,Hockey,Hockey,hockey,"DONNERS, Mijntje",Women,NED,Netherlands,W,Silver +Athens,2004,Hockey,Hockey,hockey,"AYMAR, Luciana",Women,ARG,Argentina,W,Bronze +Athens,2004,Hockey,Hockey,hockey,"SCHOPMAN, Janneke",Women,NED,Netherlands,W,Silver +Athens,2004,Hockey,Hockey,hockey,"ELDER, Troy",Men,AUS,Australia,M,Gold +Athens,2004,Hockey,Hockey,hockey,"RINNE, Fanny",Women,GER,Germany,W,Gold +Athens,2004,Hockey,Hockey,hockey,"ZELLER, Christopher",Men,GER,Germany,M,Bronze +Athens,2004,Hockey,Hockey,hockey,"KARRES, Sylvia",Women,NED,Netherlands,W,Silver +Athens,2004,Hockey,Hockey,hockey,"BROUWER, Matthijs",Men,NED,Netherlands,M,Silver +Athens,2004,Hockey,Hockey,hockey,"BROUWER, Ronald",Men,NED,Netherlands,M,Silver +Athens,2004,Hockey,Hockey,hockey,"DERIKX, Rob",Men,NED,Netherlands,M,Silver +Athens,2004,Hockey,Hockey,hockey,"SCHUBERT, Grant",Men,AUS,Australia,M,Gold +Athens,2004,Hockey,Hockey,hockey,"WITTHAUS, Matthias",Men,GER,Germany,M,Bronze +Athens,2004,Judo,Judo,57 - 63kg (half-middleweight),"HEILL, Claudia",Women,AUT,Austria,W,Silver +Athens,2004,Judo,Judo,63 - 70kg (middleweight),"QIN, Dongya",Women,CHN,China,W,Bronze +Athens,2004,Judo,Judo,70 - 78kg (half-heavyweight),"LIU, Xia",Women,CHN,China,W,Silver +Athens,2004,Judo,Judo,+ 78kg (heavyweight),"TSUKADA, Maki",Women,JPN,Japan,W,Gold +Athens,2004,Judo,Judo,66 - 73kg (lightweight),"PEDRO, James",Men,USA,United States,M,Bronze +Athens,2004,Judo,Judo,60 - 66kg (half-lightweight),"ARENCIBIA, Yordanis",Men,CUB,Cuba,M,Bronze +Athens,2004,Judo,Judo,73 - 81kg (half-middleweight),"ILIADIS, Ilias",Men,GRE,Greece,M,Gold +Athens,2004,Judo,Judo,63 - 70kg (middleweight),"UENO, Masae",Women,JPN,Japan,W,Gold +Athens,2004,Judo,Judo,+ 100kg (heavyweight),"VAN DER GEEST, Dennis",Men,NED,Netherlands,M,Bronze +Athens,2004,Judo,Judo,48 - 52kg (half-lightweight),"XIAN, Dongmei",Women,CHN,China,W,Gold +Athens,2004,Judo,Judo,- 48 kg,"GAO, Feng",Women,CHN,China,W,Bronze +Athens,2004,Judo,Judo,- 48 kg,"JOSSINET, Frederique",Women,FRA,France,W,Silver +Athens,2004,Judo,Judo,70 - 78kg (half-heavyweight),"MORICO, Lucia",Women,ITA,Italy,W,Bronze +Athens,2004,Judo,Judo,57 - 63kg (half-middleweight),"GONZALEZ, Driulys",Women,CUB,Cuba,W,Bronze +Athens,2004,Judo,Judo,81 - 90kg (middleweight),"IZUMI, Hiroshi",Men,JPN,Japan,M,Silver +Athens,2004,Judo,Judo,81 - 90kg (middleweight),"ZVIADAURI, Zurab",Men,GEO,Georgia,M,Gold +Athens,2004,Judo,Judo,- 48 kg,"TANI, Ryoko",Women,JPN,Japan,W,Gold +Athens,2004,Judo,Judo,+ 78kg (heavyweight),"DONGUZASHVILI, Tea",Women,RUS,Russia,W,Bronze +Athens,2004,Judo,Judo,90 - 100kg (half-heavyweight),"MAKARAU, Ihar",Men,BLR,Belarus,M,Gold +Athens,2004,Judo,Judo,73 - 81kg (half-middleweight),"NOSSOV, Dmitri",Men,RUS,Russia,M,Bronze +Athens,2004,Judo,Judo,60 - 66kg (half-lightweight),"GEORGIEV, Georgi",Men,BUL,Bulgaria,M,Bronze +Athens,2004,Judo,Judo,60 - 66kg (half-lightweight),"KRNAC, Jozef",Men,SVK,Slovakia,M,Silver +Athens,2004,Judo,Judo,70 - 78kg (half-heavyweight),"LABORDE, Yurisel",Women,CUB,Cuba,W,Bronze +Athens,2004,Judo,Judo,73 - 81kg (half-middleweight),"CANTO, Flavio",Men,BRA,Brazil,M,Bronze +Athens,2004,Judo,Judo,66 - 73kg (lightweight),"MAKAROV, Vitaliy",Men,RUS,Russia,M,Silver +Athens,2004,Judo,Judo,66 - 73kg (lightweight),"LEE, Won Hee",Men,KOR,"Korea, South",M,Gold +Athens,2004,Judo,Judo,52 - 57kg (lightweight),"GRAVENSTIJN, Deborah",Women,NED,Netherlands,W,Bronze +Athens,2004,Judo,Judo,60 - 66kg (half-lightweight),"UCHISHIBA, Masato",Men,JPN,Japan,M,Gold +Athens,2004,Judo,Judo,48 - 52kg (half-lightweight),"SAVON, Amarilys",Women,CUB,Cuba,W,Bronze +Athens,2004,Judo,Judo,+ 100kg (heavyweight),"SUZUKI, Keiji",Men,JPN,Japan,M,Gold +Athens,2004,Judo,Judo,81 - 90kg (middleweight),"HUIZINGA, Mark",Men,NED,Netherlands,M,Bronze +Athens,2004,Judo,Judo,- 60 kg,"CHOI, Min Ho",Men,KOR,"Korea, South",M,Bronze +Athens,2004,Judo,Judo,48 - 52kg (half-lightweight),"YOKOSAWA, Yuki",Women,JPN,Japan,W,Silver +Athens,2004,Judo,Judo,+ 100kg (heavyweight),"TMENOV, Tamerlan",Men,RUS,Russia,M,Silver +Athens,2004,Judo,Judo,90 - 100kg (half-heavyweight),"JANG, Sung Ho",Men,KOR,"Korea, South",M,Silver +Athens,2004,Judo,Judo,63 - 70kg (middleweight),"BOEHM, Annett",Women,GER,Germany,W,Bronze +Athens,2004,Judo,Judo,52 - 57kg (lightweight),"BOENISCH, Yvonne",Women,GER,Germany,W,Gold +Athens,2004,Judo,Judo,+ 100kg (heavyweight),"PERTELSON, Indrek",Men,EST,Estonia,M,Bronze +Athens,2004,Judo,Judo,+ 78kg (heavyweight),"BELTRAN, Daima Mayelis",Women,CUB,Cuba,W,Silver +Athens,2004,Judo,Judo,- 60 kg,"KHERGIANI, Nestor",Men,GEO,Georgia,M,Silver +Athens,2004,Judo,Judo,63 - 70kg (middleweight),"BOSCH, Edith",Women,NED,Netherlands,W,Silver +Athens,2004,Judo,Judo,66 - 73kg (lightweight),"GUILHEIRO, Leandro",Men,BRA,Brazil,M,Bronze +Athens,2004,Judo,Judo,73 - 81kg (half-middleweight),"GONTIUK, Roman",Men,UKR,Ukraine,M,Silver +Athens,2004,Judo,Judo,90 - 100kg (half-heavyweight),"JURACK, Michael",Men,GER,Germany,M,Bronze +Athens,2004,Judo,Judo,57 - 63kg (half-middleweight),"TANIMOTO, Ayumi",Women,JPN,Japan,W,Gold +Athens,2004,Judo,Judo,48 - 52kg (half-lightweight),"HEYLEN, Ilse",Women,BEL,Belgium,W,Bronze +Athens,2004,Judo,Judo,+ 78kg (heavyweight),"SUN, Fuming",Women,CHN,China,W,Bronze +Athens,2004,Judo,Judo,52 - 57kg (lightweight),"LUPETEY, Yurisleidy",Women,CUB,Cuba,W,Bronze +Athens,2004,Judo,Judo,57 - 63kg (half-middleweight),"ZOLNIR, Urska",Women,SLO,Slovenia,W,Bronze +Athens,2004,Judo,Judo,52 - 57kg (lightweight),"KYE, Sun Hui",Women,PRK,"Korea, North",W,Silver +Athens,2004,Judo,Judo,- 48 kg,"MATIJASS, Julia",Women,GER,Germany,W,Bronze +Athens,2004,Judo,Judo,- 60 kg,"NOMURA, Tadahiro",Men,JPN,Japan,M,Gold +Athens,2004,Judo,Judo,90 - 100kg (half-heavyweight),"ZEEVI, Ariel",Men,ISR,Israel,M,Bronze +Athens,2004,Judo,Judo,- 60 kg,"TSAGAANBAATAR, Khashbaatar",Men,MGL,Mongolia,M,Bronze +Athens,2004,Judo,Judo,70 - 78kg (half-heavyweight),"ANNO, Noriko",Women,JPN,Japan,W,Gold +Athens,2004,Judo,Judo,81 - 90kg (middleweight),"TAOV, Khasanbi",Men,RUS,Russia,M,Bronze +Athens,2004,Modern Pentathlon,Modern Pentath.,Individual competition,"CAPALINI, Libor",Men,CZE,Czech Republic,M,Bronze +Athens,2004,Modern Pentathlon,Modern Pentath.,Individual competition,"MOISEEV, Andrey",Men,RUS,Russia,M,Gold +Athens,2004,Modern Pentathlon,Modern Pentath.,Individual competition,"ZADNEPROVSKIS, Andrejus",Men,LTU,Lithuania,M,Silver +Athens,2004,Modern Pentathlon,Modern Pentath.,Individual competition,"RUBLEVSKA, Elena",Women,LAT,Latvia,W,Silver +Athens,2004,Modern Pentathlon,Modern Pentath.,Individual competition,"HARLAND, Georgina",Women,GBR,United Kingdom,W,Bronze +Athens,2004,Modern Pentathlon,Modern Pentath.,Individual competition,"VOROS, Zsuzsanna",Women,HUN,Hungary,W,Gold +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"HOMMES, Nienke",Women,NED,Netherlands,W,Bronze +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"SIEGELAAR, Sarah",Women,NED,Netherlands,W,Bronze +Athens,2004,Rowing,Rowing,quadruple sculls without coxswain (4x),"FALETIC, Dana",Women,AUS,Australia,W,Bronze +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"WEGMAN, Froukje",Women,NED,Netherlands,W,Bronze +Athens,2004,Rowing,Rowing,four without coxswain (4-),"PORZIO, Lorenzo",Men,ITA,Italy,M,Bronze +Athens,2004,Rowing,Rowing,quadruple sculls without coxswain (4x),"GRIN, Sergij",Men,UKR,Ukraine,M,Bronze +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"HANSON, Boden Joseph",Men,AUS,Australia,M,Bronze +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"ALLEN, Wyatt",Men,USA,United States,M,Gold +Athens,2004,Rowing,Rowing,lightweight double sculls (2x),"SYCZ, Robert",Men,POL,Poland,M,Gold +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"NELSON, Lianne",Women,USA,United States,W,Silver +Athens,2004,Rowing,Rowing,four without coxswain (4-),"CRACKNELL, James",Men,GBR,United Kingdom,M,Gold +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"AHRENS, Chris",Men,USA,United States,M,Gold +Athens,2004,Rowing,Rowing,double sculls (2x),"EVERS-SWINDELL, Georgina",Women,NZL,New Zealand,W,Gold +Athens,2004,Rowing,Rowing,lightweight double sculls (2x),"KUCHARSKI, Tomasz",Men,POL,Poland,M,Gold +Athens,2004,Rowing,Rowing,double sculls (2x),"GALTAROSSA, Rossano",Men,ITA,Italy,M,Bronze +Athens,2004,Rowing,Rowing,lightweight double sculls (2x),"POLYMEROS, Vasileios",Men,GRE,Greece,M,Bronze +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"WELCH, Stuart",Men,AUS,Australia,M,Bronze +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"SUSANU, Viorica",Women,ROU,Romania,W,Gold +Athens,2004,Rowing,Rowing,pair without coxswain (2-),"HELAKH, Natallia",Women,BLR,Belarus,W,Bronze +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"VERMEULEN, Gijs",Men,NED,Netherlands,M,Silver +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"GEORGESCU, Elena",Women,ROU,Romania,W,Gold +Athens,2004,Rowing,Rowing,double sculls (2x),"SPIK, Luka",Men,SLO,Slovenia,M,Silver +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"LIPA, Elisabeta",Women,ROU,Romania,W,Gold +Athens,2004,Rowing,Rowing,pair without coxswain (2-),"SUSANU, Viorica",Women,ROU,Romania,W,Gold +Athens,2004,Rowing,Rowing,lightweight coxless four (4-),"EBERT, Thomas",Men,DEN,Denmark,M,Gold +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"DIRKMAAT, Megan",Women,USA,United States,W,Silver +Athens,2004,Rowing,Rowing,single sculls (1x),"RUTSCHOW, Katrin",Women,GER,Germany,W,Gold +Athens,2004,Rowing,Rowing,coxless pair (2-),"SKELIN, Sinisa",Men,CRO,Croatia,M,Silver +Athens,2004,Rowing,Rowing,lightweight coxless four (4-),"MASCARENHAS, Bruno",Men,ITA,Italy,M,Bronze +Athens,2004,Rowing,Rowing,single sculls (1x),"YANAKIEV, Ivo",Men,BUL,Bulgaria,M,Bronze +Athens,2004,Rowing,Rowing,four without coxswain (4-),"PINSENT, Matthew",Men,GBR,United Kingdom,M,Gold +Athens,2004,Rowing,Rowing,double sculls (2x),"LAVERICK, Elise",Women,GBR,United Kingdom,W,Bronze +Athens,2004,Rowing,Rowing,lightweight double sculls (2x),"BURCICA, Constanta",Women,ROU,Romania,W,Gold +Athens,2004,Rowing,Rowing,lightweight coxless four (4-),"AMARANTE, Catello",Men,ITA,Italy,M,Bronze +Athens,2004,Rowing,Rowing,quadruple sculls without coxswain (4x),"SVIRIN, Alekseij",Men,RUS,Russia,M,Gold +Athens,2004,Rowing,Rowing,double sculls (2x),"EVERS-SWINDELL, Caroline",Women,NZL,New Zealand,W,Gold +Athens,2004,Rowing,Rowing,coxless pair (2-),"GINN, Drew",Men,AUS,Australia,M,Gold +Athens,2004,Rowing,Rowing,quadruple sculls without coxswain (4x),"LYKOV, Oleg",Men,UKR,Ukraine,M,Bronze +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"STEWART, Steve",Men,AUS,Australia,M,Bronze +Athens,2004,Rowing,Rowing,quadruple sculls without coxswain (4x),"HOUGHTON, Frances",Women,GBR,United Kingdom,W,Silver +Athens,2004,Rowing,Rowing,lightweight coxless four (4-),"EBBESEN, Eskild Balschmidt",Men,DEN,Denmark,M,Gold +Athens,2004,Rowing,Rowing,coxless pair (2-),"TOMKINS, James",Men,AUS,Australia,M,Gold +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"VAN RUMPT, Annemarieke",Women,NED,Netherlands,W,Bronze +Athens,2004,Rowing,Rowing,lightweight coxless four (4-),"MOELVIG, Stephan",Men,DEN,Denmark,M,Gold +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"DEKKERS, Hurnet",Women,NED,Netherlands,W,Bronze +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"STEWART, Geoff",Men,AUS,Australia,M,Bronze +Athens,2004,Rowing,Rowing,lightweight double sculls (2x),"TOURON, Pascal",Men,FRA,France,M,Silver +Athens,2004,Rowing,Rowing,quadruple sculls without coxswain (4x),"BILUSHCHENKO, Sergij",Men,UKR,Ukraine,M,Bronze +Athens,2004,Rowing,Rowing,quadruple sculls without coxswain (4x),"FEDOROVTSEV, Sergey",Men,RUS,Russia,M,Gold +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"HOOPMAN, Beau",Men,USA,United States,M,Gold +Athens,2004,Rowing,Rowing,lightweight double sculls (2x),"REIMER, Daniela",Women,GER,Germany,W,Silver +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"JOHNSON, Kate",Women,USA,United States,W,Silver +Athens,2004,Rowing,Rowing,lightweight double sculls (2x),"DUFOUR, Frederic",Men,FRA,France,M,Silver +Athens,2004,Rowing,Rowing,quadruple sculls without coxswain (4x),"FLOOD, Debbie",Women,GBR,United Kingdom,W,Silver +Athens,2004,Rowing,Rowing,quadruple sculls without coxswain (4x),"JIRKA, David",Men,CZE,Czech Republic,M,Silver +Athens,2004,Rowing,Rowing,quadruple sculls without coxswain (4x),"ROMERO, Rebecca",Women,GBR,United Kingdom,W,Silver +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"WORKEL, Ester",Women,NED,Netherlands,W,Bronze +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"SIMON, Diederik",Men,NED,Netherlands,M,Silver +Athens,2004,Rowing,Rowing,quadruple sculls without coxswain (4x),"BORON, Kathrin",Women,GER,Germany,W,Gold +Athens,2004,Rowing,Rowing,double sculls (2x),"OPPELT, Britta",Women,GER,Germany,W,Silver +Athens,2004,Rowing,Rowing,four without coxswain (4-),"WILLIAMS, Steve",Men,GBR,United Kingdom,M,Gold +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"CHEUNG, Chun Wei",Men,NED,Netherlands,M,Silver +Athens,2004,Rowing,Rowing,pair without coxswain (2-),"BICHYK, Yuliya",Women,BLR,Belarus,W,Bronze +Athens,2004,Rowing,Rowing,quadruple sculls without coxswain (4x),"KOPRIVA, David",Men,CZE,Czech Republic,M,Silver +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"DEAKIN, Matt",Men,USA,United States,M,Gold +Athens,2004,Rowing,Rowing,lightweight double sculls (2x),"VAN EUPEN, Marit",Women,NED,Netherlands,W,Bronze +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"KORHOLZ, Laurel",Women,USA,United States,W,Silver +Athens,2004,Rowing,Rowing,four without coxswain (4-),"HERSCHMILLER, Thomas",Men,CAN,Canada,M,Silver +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"FLOREA, Rodica",Women,ROU,Romania,W,Gold +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"BEERY, Dan",Men,USA,United States,M,Gold +Athens,2004,Rowing,Rowing,four without coxswain (4-),"WETZEL, Jake",Men,CAN,Canada,M,Silver +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"MAGEE, Samantha",Women,USA,United States,W,Silver +Athens,2004,Rowing,Rowing,quadruple sculls without coxswain (4x),"SHAPOSHNIKOV, Leonid",Men,UKR,Ukraine,M,Bronze +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"HANSEN, Joseph",Men,USA,United States,M,Gold +Athens,2004,Rowing,Rowing,pair without coxswain (2-),"GRAINGER, Katherine",Women,GBR,United Kingdom,W,Silver +Athens,2004,Rowing,Rowing,quadruple sculls without coxswain (4x),"EVERS, Meike",Women,GER,Germany,W,Gold +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"WHIPPLE, Mary",Women,USA,United States,W,Silver +Athens,2004,Rowing,Rowing,lightweight coxless four (4-),"LOFTUS, Glen",Men,AUS,Australia,M,Silver +Athens,2004,Rowing,Rowing,quadruple sculls without coxswain (4x),"KRAVTSOV, Igor",Men,RUS,Russia,M,Gold +Athens,2004,Rowing,Rowing,quadruple sculls without coxswain (4x),"SATTIN, Rebecca",Women,AUS,Australia,W,Bronze +Athens,2004,Rowing,Rowing,pair without coxswain (2-),"ANDRUNACHE, Georgeta",Women,ROU,Romania,W,Gold +Athens,2004,Rowing,Rowing,quadruple sculls without coxswain (4x),"SPINEV, Nikolay",Men,RUS,Russia,M,Gold +Athens,2004,Rowing,Rowing,four without coxswain (4-),"COODE, Ed",Men,GBR,United Kingdom,M,Gold +Athens,2004,Rowing,Rowing,double sculls (2x),"WINCKLESS, Sarah",Women,GBR,United Kingdom,W,Bronze +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"CIPOLLONE, Pete",Men,USA,United States,M,Gold +Athens,2004,Rowing,Rowing,double sculls (2x),"SARTORI, Alessio",Men,ITA,Italy,M,Bronze +Athens,2004,Rowing,Rowing,quadruple sculls without coxswain (4x),"LUTZE, Manuela",Women,GER,Germany,W,Gold +Athens,2004,Rowing,Rowing,coxless pair (2-),"DI CLEMENTE, Ramon",Men,RSA,South Africa,M,Bronze +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"MENSCH, Daniel",Men,NED,Netherlands,M,Silver +Athens,2004,Rowing,Rowing,double sculls (2x),"VIEILLEDENT, Sebastien",Men,FRA,France,M,Gold +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"MCKAY, Mike",Men,AUS,Australia,M,Bronze +Athens,2004,Rowing,Rowing,single sculls (1x),"NEYKOVA, Rumyana",Women,BUL,Bulgaria,W,Bronze +Athens,2004,Rowing,Rowing,lightweight double sculls (2x),"BLASBERG, Claudia",Women,GER,Germany,W,Silver +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"PAPUC, Ioana",Women,ROU,Romania,W,Gold +Athens,2004,Rowing,Rowing,lightweight double sculls (2x),"ALUPEI, Angela",Women,ROU,Romania,W,Gold +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"BARASCU, Aurica",Women,ROU,Romania,W,Gold +Athens,2004,Rowing,Rowing,coxless pair (2-),"SKELIN, Niksa",Men,CRO,Croatia,M,Silver +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"IGNAT, Doina",Women,ROU,Romania,W,Gold +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"EGGENKAMP, Gerritjan",Men,NED,Netherlands,M,Silver +Athens,2004,Rowing,Rowing,lightweight coxless four (4-),"EDWARDS, Anthony",Men,AUS,Australia,M,Silver +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"VELLENGA, Matthijs",Men,NED,Netherlands,M,Silver +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"SZCZUROWSKI, Stefan",Men,AUS,Australia,M,Bronze +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"TANGER, Helen",Women,NED,Netherlands,W,Bronze +Athens,2004,Rowing,Rowing,quadruple sculls without coxswain (4x),"BRADLEY, Amber",Women,AUS,Australia,W,Bronze +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"VOLPENHEIN, Bryan",Men,USA,United States,M,Gold +Athens,2004,Rowing,Rowing,quadruple sculls without coxswain (4x),"MOWBRAY, Alison",Women,GBR,United Kingdom,W,Silver +Athens,2004,Rowing,Rowing,double sculls (2x),"HARDY, Adrien",Men,FRA,France,M,Gold +Athens,2004,Rowing,Rowing,lightweight coxless four (4-),"CURETON, Ben",Men,AUS,Australia,M,Silver +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"DERKSEN, Geert Jan",Men,NED,Netherlands,M,Silver +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"COX, Alison",Women,USA,United States,W,Silver +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"TOON, Michael",Men,AUS,Australia,M,Bronze +Athens,2004,Rowing,Rowing,pair without coxswain (2-),"BISHOP, Cath",Women,GBR,United Kingdom,W,Silver +Athens,2004,Rowing,Rowing,lightweight double sculls (2x),"VAN DER KOLK, Kirsten",Women,NED,Netherlands,W,Bronze +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"GABRIELS, Jan-Willem",Men,NED,Netherlands,M,Silver +Athens,2004,Rowing,Rowing,quadruple sculls without coxswain (4x),"EL QALQILI, Kerstin",Women,GER,Germany,W,Gold +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"READ, Jason",Men,USA,United States,M,Gold +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"DE HAAN, Annemiek",Women,NED,Netherlands,W,Bronze +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"DAVIES, Caryn",Women,USA,United States,W,Silver +Athens,2004,Rowing,Rowing,lightweight coxless four (4-),"AMITRANO, Salvatore",Men,ITA,Italy,M,Bronze +Athens,2004,Rowing,Rowing,quadruple sculls without coxswain (4x),"HANAK, Jakub",Men,CZE,Czech Republic,M,Silver +Athens,2004,Rowing,Rowing,single sculls (1x),"JAANSON, Jueri",Men,EST,Estonia,M,Silver +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"GAFENCU, Liliana",Women,ROU,Romania,W,Gold +Athens,2004,Rowing,Rowing,quadruple sculls without coxswain (4x),"KARAS, Tomas",Men,CZE,Czech Republic,M,Silver +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"RESIDE, Stuart",Men,AUS,Australia,M,Bronze +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"SMULDERS, Marlies",Women,NED,Netherlands,W,Bronze +Athens,2004,Rowing,Rowing,single sculls (1x),"KARSTEN, Ekaterina",Women,BLR,Belarus,W,Silver +Athens,2004,Rowing,Rowing,single sculls (1x),"TUFTE, Olaf",Men,NOR,Norway,M,Gold +Athens,2004,Rowing,Rowing,double sculls (2x),"COP, Iztok",Men,SLO,Slovenia,M,Silver +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"ANDRUNACHE, Georgeta",Women,ROU,Romania,W,Gold +Athens,2004,Rowing,Rowing,four without coxswain (4-),"DENTALE, Dario",Men,ITA,Italy,M,Bronze +Athens,2004,Rowing,Rowing,four without coxswain (4-),"BAERG, Cameron",Men,CAN,Canada,M,Silver +Athens,2004,Rowing,Rowing,four without coxswain (4-),"WILLIAMS, Barney",Men,CAN,Canada,M,Silver +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"MICKELSON, Anna",Women,USA,United States,W,Silver +Athens,2004,Rowing,Rowing,four without coxswain (4-),"AGAMENNONI, Luca",Men,ITA,Italy,M,Bronze +Athens,2004,Rowing,Rowing,lightweight coxless four (4-),"BURGESS, Simon",Men,AUS,Australia,M,Silver +Athens,2004,Rowing,Rowing,lightweight double sculls (2x),"SKIATHITIS, Nikolaos",Men,GRE,Greece,M,Bronze +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"BARTMAN, Michiel",Men,NED,Netherlands,M,Silver +Athens,2004,Rowing,Rowing,double sculls (2x),"WALESKA, Peggy",Women,GER,Germany,W,Silver +Athens,2004,Rowing,Rowing,lightweight coxless four (4-),"KRISTENSEN, Thor",Men,DEN,Denmark,M,Gold +Athens,2004,Rowing,Rowing,four without coxswain (4-),"LEONARDO, Raffaello",Men,ITA,Italy,M,Bronze +Athens,2004,Rowing,Rowing,quadruple sculls without coxswain (4x),"HORE, Kerry",Women,AUS,Australia,W,Bronze +Athens,2004,Rowing,Rowing,coxless pair (2-),"CECH, Donovan",Men,RSA,South Africa,M,Bronze +Athens,2004,Rowing,Rowing,lightweight coxless four (4-),"BERTINI, Lorenzo",Men,ITA,Italy,M,Bronze +Athens,2004,Rowing,Rowing,eight with coxswain (8+),"STEWART, James",Men,AUS,Australia,M,Bronze +Athens,2004,Sailing,Sailing,Yngling - Keelboat,"MATEVUSHEVA, Svitlana",Women,UKR,Ukraine,W,Silver +Athens,2004,Sailing,Sailing,470 - Two Person Dinghy,"VIA DUFRESNE, Natalia",Women,ESP,Spain,W,Silver +Athens,2004,Sailing,Sailing,Tornado - Multihull,"HAGARA, Roman",Men,AUT,Austria,X,Gold +Athens,2004,Sailing,Sailing,board (Mistral),"MERRET, Faustine",Women,FRA,France,W,Gold +Athens,2004,Sailing,Sailing,single-handed dinghy (Europe),"LIVBJERG, Signe",Women,DEN,Denmark,W,Bronze +Athens,2004,Sailing,Sailing,49er - Skiff,"MARTINEZ, Iker",Men,ESP,Spain,X,Gold +Athens,2004,Sailing,Sailing,Tornado - Multihull,"LANGE, Santiago",Men,ARG,Argentina,X,Bronze +Athens,2004,Sailing,Sailing,Star - Keelboat,"FERREIRA, Marcelo",Men,BRA,Brazil,M,Gold +Athens,2004,Sailing,Sailing,470 - Two Person Dinghy,"FOERSTER, Paul",Men,USA,United States,M,Gold +Athens,2004,Sailing,Sailing,board (Mistral),"YIN, Jian",Women,CHN,China,W,Silver +Athens,2004,Sailing,Sailing,board (Mistral),"FRIDMAN, Gal",Men,ISR,Israel,M,Gold +Athens,2004,Sailing,Sailing,Yngling - Keelboat,"JENSEN, Dorte O.",Women,DEN,Denmark,W,Bronze +Athens,2004,Sailing,Sailing,470 - Two Person Dinghy,"GLANFIELD, Joe",Men,GBR,United Kingdom,M,Silver +Athens,2004,Sailing,Sailing,single-handed dinghy open (Laser),"GERITZER, Andreas",Men,AUT,Austria,X,Silver +Athens,2004,Sailing,Sailing,49er - Skiff,"FERNANDEZ, Xavier",Men,ESP,Spain,X,Gold +Athens,2004,Sailing,Sailing,Yngling - Keelboat,"OTZEN, Christina",Women,DEN,Denmark,W,Bronze +Athens,2004,Sailing,Sailing,470 - Two Person Dinghy,"ROGERS, Nick",Men,GBR,United Kingdom,M,Silver +Athens,2004,Sailing,Sailing,470 - Two Person Dinghy,"SEKI, Kazuto",Men,JPN,Japan,M,Bronze +Athens,2004,Sailing,Sailing,Star - Keelboat,"GRAEL, Torben",Men,BRA,Brazil,M,Gold +Athens,2004,Sailing,Sailing,single-handed dinghy (Finn),"TRUJILLO, Rafael",Men,ESP,Spain,M,Silver +Athens,2004,Sailing,Sailing,Yngling - Keelboat,"AYTON, Sarah",Women,GBR,United Kingdom,W,Gold +Athens,2004,Sailing,Sailing,49er - Skiff,"LUKA, Rodion",Men,UKR,Ukraine,X,Silver +Athens,2004,Sailing,Sailing,Yngling - Keelboat,"KALININA, Ganna",Women,UKR,Ukraine,W,Silver +Athens,2004,Sailing,Sailing,Tornado - Multihull,"LOVELL, John",Men,USA,United States,X,Silver +Athens,2004,Sailing,Sailing,Star - Keelboat,"WOLFS, Mike",Men,CAN,Canada,M,Silver +Athens,2004,Sailing,Sailing,Yngling - Keelboat,"ROBERTSON, Shirley",Women,GBR,United Kingdom,W,Gold +Athens,2004,Sailing,Sailing,single-handed dinghy (Europe),"SMIDOVA, Lenka",Women,CZE,Czech Republic,W,Silver +Athens,2004,Sailing,Sailing,board (Mistral),"SENSINI, Alessandra",Women,ITA,Italy,W,Bronze +Athens,2004,Sailing,Sailing,49er - Skiff,"HISCOCKS, Simon",Men,GBR,United Kingdom,X,Bronze +Athens,2004,Sailing,Sailing,single-handed dinghy open (Laser),"ZBOGAR, Vasilij",Men,SLO,Slovenia,X,Bronze +Athens,2004,Sailing,Sailing,Yngling - Keelboat,"JESPERSEN, Helle",Women,DEN,Denmark,W,Bronze +Athens,2004,Sailing,Sailing,Tornado - Multihull,"ESPINOLA, Carlos",Men,ARG,Argentina,X,Bronze +Athens,2004,Sailing,Sailing,Yngling - Keelboat,"WEBB, Sarah",Women,GBR,United Kingdom,W,Gold +Athens,2004,Sailing,Sailing,board (Mistral),"KAKLAMANAKIS, Nikolaos",Men,GRE,Greece,M,Silver +Athens,2004,Sailing,Sailing,49er - Skiff,"LEONCHUK, Georgii",Men,UKR,Ukraine,X,Silver +Athens,2004,Sailing,Sailing,single-handed dinghy (Finn),"KUSZNIEREWICZ, Mateusz",Men,POL,Poland,M,Bronze +Athens,2004,Sailing,Sailing,Yngling - Keelboat,"TARAN, Ruslana",Women,UKR,Ukraine,W,Silver +Athens,2004,Sailing,Sailing,Tornado - Multihull,"OGLETREE, Charlie",Men,USA,United States,X,Silver +Athens,2004,Sailing,Sailing,Star - Keelboat,"ROHART, Xavier",Men,FRA,France,M,Bronze +Athens,2004,Sailing,Sailing,single-handed dinghy open (Laser),"SCHEIDT, Robert",Men,BRA,Brazil,X,Gold +Athens,2004,Sailing,Sailing,single-handed dinghy (Europe),"SUNDBY, Siren",Women,NOR,Norway,W,Gold +Athens,2004,Sailing,Sailing,board (Mistral),"DEMPSEY, Nick",Men,GBR,United Kingdom,M,Bronze +Athens,2004,Sailing,Sailing,470 - Two Person Dinghy,"TORGERSSON, Therese",Women,SWE,Sweden,W,Bronze +Athens,2004,Sailing,Sailing,Star - Keelboat,"MACDONALD, Ross",Men,CAN,Canada,M,Silver +Athens,2004,Sailing,Sailing,470 - Two Person Dinghy,"TSOULFA, Aimilia",Women,GRE,Greece,W,Gold +Athens,2004,Sailing,Sailing,470 - Two Person Dinghy,"ZACHRISSON, Vendela",Women,SWE,Sweden,W,Bronze +Athens,2004,Sailing,Sailing,49er - Skiff,"DRAPER, Chris",Men,GBR,United Kingdom,X,Bronze +Athens,2004,Sailing,Sailing,470 - Two Person Dinghy,"BURNHAM, Kevin",Men,USA,United States,M,Gold +Athens,2004,Sailing,Sailing,Star - Keelboat,"RAMBEAU, Pascal",Men,FRA,France,M,Bronze +Athens,2004,Sailing,Sailing,470 - Two Person Dinghy,"BEKATOROU, Sofia",Women,GRE,Greece,W,Gold +Athens,2004,Sailing,Sailing,470 - Two Person Dinghy,"AZON, Sandra",Women,ESP,Spain,W,Silver +Athens,2004,Sailing,Sailing,single-handed dinghy (Finn),"AINSLIE, Ben",Men,GBR,United Kingdom,M,Gold +Athens,2004,Sailing,Sailing,470 - Two Person Dinghy,"TODOROKI, Kenjiro",Men,JPN,Japan,M,Bronze +Athens,2004,Sailing,Sailing,Tornado - Multihull,"STEINACHER, Hans Peter",Men,AUT,Austria,X,Gold +Athens,2004,Shooting,Shooting,10m air pistol (60 shots),"ISAKOV, Vladimir",Men,RUS,Russia,M,Bronze +Athens,2004,Shooting,Shooting,double trap (150 targets),"WANG, Zheng",Men,CHN,China,M,Bronze +Athens,2004,Shooting,Shooting,double trap (150 targets),"RATHORE, Rajyavardhan S.",Men,IND,India,M,Silver +Athens,2004,Shooting,Shooting,skeet (75 targets),"IGALY, Diana",Women,HUN,Hungary,W,Gold +Athens,2004,Shooting,Shooting,trap (75 targets),"QUINTANAL, Maria",Women,ESP,Spain,W,Silver +Athens,2004,Shooting,Shooting,50m rifle 3 positions (3x40 shots),"PLANER, Christian",Men,AUT,Austria,M,Bronze +Athens,2004,Shooting,Shooting,10m air pistol (40 shots),"GROZDEVA, Maria",Women,BUL,Bulgaria,W,Bronze +Athens,2004,Shooting,Shooting,50m pistol (60 shots),"NESTRUEV, Mikhail",Men,RUS,Russia,M,Gold +Athens,2004,Shooting,Shooting,10m air pistol (40 shots),"KOSTEVYCH, Olena",Women,UKR,Ukraine,W,Gold +Athens,2004,Shooting,Shooting,trap (125 targets),"ALIPOV, Alexei",Men,RUS,Russia,M,Gold +Athens,2004,Shooting,Shooting,trap (75 targets),"LEE, Bo Na",Women,KOR,"Korea, South",W,Bronze +Athens,2004,Shooting,Shooting,25m pistol (30+30 shots),"HYKOVA, Lenka",Women,CZE,Czech Republic,W,Silver +Athens,2004,Shooting,Shooting,50m rifle 3 positions (3x20 shots),"WANG, Chengyi",Women,CHN,China,W,Bronze +Athens,2004,Shooting,Shooting,50m rifle 3 positions (3x20 shots),"GALKINA, Lioubov",Women,RUS,Russia,W,Gold +Athens,2004,Shooting,Shooting,10m air pistol (40 shots),"SEKARIC, Jasna",Women,SCG,Serbia,W,Silver +Athens,2004,Shooting,Shooting,25m pistol (30+30 shots),"GROZDEVA, Maria",Women,BUL,Bulgaria,W,Gold +Athens,2004,Shooting,Shooting,50m pistol (60 shots),"JIN, Jongoh",Men,KOR,"Korea, South",M,Silver +Athens,2004,Shooting,Shooting,10m air rifle (60 shots),"LI, Jie",Men,CHN,China,M,Silver +Athens,2004,Shooting,Shooting,50m pistol (60 shots),"KIM, Jong Su",Men,PRK,"Korea, North",M,Bronze +Athens,2004,Shooting,Shooting,double trap (120 targets),"LEE, Bo Na",Women,KOR,"Korea, South",W,Silver +Athens,2004,Shooting,Shooting,double trap (120 targets),"RHODE, Kimberly",Women,USA,United States,W,Gold +Athens,2004,Shooting,Shooting,trap (125 targets),"PELLIELO, Giovanni",Men,ITA,Italy,M,Silver +Athens,2004,Shooting,Shooting,trap (75 targets),"BALOGH, Suzanne",Women,AUS,Australia,W,Gold +Athens,2004,Shooting,Shooting,10m air rifle (60 shots),"GONCI, Jozef",Men,SVK,Slovakia,M,Bronze +Athens,2004,Shooting,Shooting,50m rifle 3 positions (3x20 shots),"TURISINI, Valentina",Women,ITA,Italy,W,Silver +Athens,2004,Shooting,Shooting,10m air rifle (40 shots),"EMMONS, Katerina",Women,CZE,Czech Republic,W,Bronze +Athens,2004,Shooting,Shooting,skeet (125 targets),"RODRIGUEZ, Juan Miguel",Men,CUB,Cuba,M,Bronze +Athens,2004,Shooting,Shooting,50m rifle prone (60 shots),"MARTYNOV, Sergei",Men,BLR,Belarus,M,Bronze +Athens,2004,Shooting,Shooting,25m pistol (30+30 shots),"ASHUMOVA, Irada",Women,AZE,Azerbaijan,W,Bronze +Athens,2004,Shooting,Shooting,10m air pistol (60 shots),"NESTRUEV, Mikhail",Men,RUS,Russia,M,Silver +Athens,2004,Shooting,Shooting,10m air rifle (40 shots),"GALKINA, Lioubov",Women,RUS,Russia,W,Silver +Athens,2004,Shooting,Shooting,10m running target (30+30 shots),"BLINOV, Alexander",Men,RUS,Russia,M,Silver +Athens,2004,Shooting,Shooting,50m rifle 3 positions (3x40 shots),"JIA, Zhanbo",Men,CHN,China,M,Gold +Athens,2004,Shooting,Shooting,50m rifle prone (60 shots),"LUSCH, Christian",Men,GER,Germany,M,Silver +Athens,2004,Shooting,Shooting,double trap (120 targets),"GAO, E",Women,CHN,China,W,Bronze +Athens,2004,Shooting,Shooting,10m air pistol (60 shots),"WANG, Yifu",Men,CHN,China,M,Gold +Athens,2004,Shooting,Shooting,skeet (125 targets),"KEMPPAINEN, Marko",Men,FIN,Finland,M,Silver +Athens,2004,Shooting,Shooting,25m rapid fire pistol (60 shots),"SCHUMANN, Ralf",Men,GER,Germany,M,Gold +Athens,2004,Shooting,Shooting,10m air rifle (40 shots),"DU, Li",Women,CHN,China,W,Gold +Athens,2004,Shooting,Shooting,25m rapid fire pistol (60 shots),"ALIFIRENKO, Sergei",Men,RUS,Russia,M,Bronze +Athens,2004,Shooting,Shooting,25m rapid fire pistol (60 shots),"POLIAKOV, Sergei",Men,RUS,Russia,M,Silver +Athens,2004,Shooting,Shooting,10m running target (30+30 shots),"KURZER, Manfred",Men,GER,Germany,M,Gold +Athens,2004,Shooting,Shooting,double trap (150 targets),"ALMAKTOUM, Shaikh Ahmed",Men,UAE,United Arab Emirates,M,Gold +Athens,2004,Shooting,Shooting,10m running target (30+30 shots),"LYKIN, Dimitri",Men,RUS,Russia,M,Bronze +Athens,2004,Shooting,Shooting,skeet (75 targets),"WEI, Ning",Women,CHN,China,W,Silver +Athens,2004,Shooting,Shooting,skeet (125 targets),"BENELLI, Andrea",Men,ITA,Italy,M,Gold +Athens,2004,Shooting,Shooting,trap (125 targets),"VELLA, Adam",Men,AUS,Australia,M,Bronze +Athens,2004,Shooting,Shooting,10m air rifle (60 shots),"ZHU, Qinan",Men,CHN,China,M,Gold +Athens,2004,Shooting,Shooting,50m rifle prone (60 shots),"EMMONS, Matthew",Men,USA,United States,M,Gold +Athens,2004,Shooting,Shooting,50m rifle 3 positions (3x40 shots),"ANTI, Michael",Men,USA,United States,M,Silver +Athens,2004,Shooting,Shooting,skeet (75 targets),"MEFTAKHETDINOVA, Zemfira",Women,AZE,Azerbaijan,W,Bronze +Athens,2004,Softball,Softball,softball,"WYBORN, Kerry",Women,AUS,Australia,W,Silver +Athens,2004,Softball,Softball,softball,"BERG, Laura",Women,USA,United States,W,Gold +Athens,2004,Softball,Softball,softball,"PORTER, Stacey",Women,AUS,Australia,W,Silver +Athens,2004,Softball,Softball,softball,"MOSLEY, Tracey",Women,AUS,Australia,W,Silver +Athens,2004,Softball,Softball,softball,"INUI, Emi",Women,JPN,Japan,W,Bronze +Athens,2004,Softball,Softball,softball,"EDEBONE, Peta",Women,AUS,Australia,W,Silver +Athens,2004,Softball,Softball,softball,"FERNANDEZ, Lisa",Women,USA,United States,W,Gold +Athens,2004,Softball,Softball,softball,"AMICO, Leah",Women,USA,United States,W,Gold +Athens,2004,Softball,Softball,softball,"CARPADIOS, Marissa",Women,AUS,Australia,W,Silver +Athens,2004,Softball,Softball,softball,"SAKAMOTO, Naoko",Women,JPN,Japan,W,Bronze +Athens,2004,Softball,Softball,softball,"YAMAJI, Noriko",Women,JPN,Japan,W,Bronze +Athens,2004,Softball,Softball,softball,"SAKAI, Hiroko",Women,JPN,Japan,W,Bronze +Athens,2004,Softball,Softball,softball,"KRETSCHMAN, Kelly",Women,USA,United States,W,Gold +Athens,2004,Softball,Softball,softball,"SAITO, Haruka",Women,JPN,Japan,W,Bronze +Athens,2004,Softball,Softball,softball,"ALLEN, Sandra",Women,AUS,Australia,W,Silver +Athens,2004,Softball,Softball,softball,"FREED, Amanda",Women,USA,United States,W,Gold +Athens,2004,Softball,Softball,softball,"BUSTOS, Crystl",Women,USA,United States,W,Gold +Athens,2004,Softball,Softball,softball,"OSTERMAN, Catherine",Women,USA,United States,W,Gold +Athens,2004,Softball,Softball,softball,"WILKINS, Brooke",Women,AUS,Australia,W,Silver +Athens,2004,Softball,Softball,softball,"NAITO, Emi",Women,JPN,Japan,W,Bronze +Athens,2004,Softball,Softball,softball,"IWABUCHI, Yumi",Women,JPN,Japan,W,Bronze +Athens,2004,Softball,Softball,softball,"FINCH, Jennie",Women,USA,United States,W,Gold +Athens,2004,Softball,Softball,softball,"UTSUGI, Reika",Women,JPN,Japan,W,Bronze +Athens,2004,Softball,Softball,softball,"WATLEY, Natasha",Women,USA,United States,W,Gold +Athens,2004,Softball,Softball,softball,"HODGSKIN, Natalie",Women,AUS,Australia,W,Silver +Athens,2004,Softball,Softball,softball,"TITCUME, Natalie",Women,AUS,Australia,W,Silver +Athens,2004,Softball,Softball,softball,"HARDING, Tanya",Women,AUS,Australia,W,Silver +Athens,2004,Softball,Softball,softball,"MORROW, Simmone",Women,AUS,Australia,W,Silver +Athens,2004,Softball,Softball,softball,"TOPPING, Jenny",Women,USA,United States,W,Gold +Athens,2004,Softball,Softball,softball,"TAKAYAMA, Juri",Women,JPN,Japan,W,Bronze +Athens,2004,Softball,Softball,softball,"MENDOZA, Jessica",Women,USA,United States,W,Gold +Athens,2004,Softball,Softball,softball,"FLOWERS, Tairia",Women,USA,United States,W,Gold +Athens,2004,Softball,Softball,softball,"JUNG, Lovieanne",Women,USA,United States,W,Gold +Athens,2004,Softball,Softball,softball,"SATO, Rie",Women,JPN,Japan,W,Bronze +Athens,2004,Softball,Softball,softball,"NUVEMAN, Stacey",Women,USA,United States,W,Gold +Athens,2004,Softball,Softball,softball,"CRAWFORD, Fiona",Women,AUS,Australia,W,Silver +Athens,2004,Softball,Softball,softball,"ROCHE, Melanie",Women,AUS,Australia,W,Silver +Athens,2004,Softball,Softball,softball,"SATO, Yuki",Women,JPN,Japan,W,Bronze +Athens,2004,Softball,Softball,softball,"YAMADA, Eri",Women,JPN,Japan,W,Bronze +Athens,2004,Softball,Softball,softball,"WARD, Natalie",Women,AUS,Australia,W,Silver +Athens,2004,Softball,Softball,softball,"MISHINA, Masumi",Women,JPN,Japan,W,Bronze +Athens,2004,Softball,Softball,softball,"DOMAN, Amanda",Women,AUS,Australia,W,Silver +Athens,2004,Softball,Softball,softball,"ITO, Kazue",Women,JPN,Japan,W,Bronze +Athens,2004,Softball,Softball,softball,"UENO, Yukiko",Women,JPN,Japan,W,Bronze +Athens,2004,Softball,Softball,softball,"HARRIGAN, Lori",Women,USA,United States,W,Gold +Athens,2004,Table Tennis,Table Tennis,doubles,"SEOK, Eun Mi",Women,KOR,"Korea, South",W,Silver +Athens,2004,Table Tennis,Table Tennis,singles,"WANG, Hao",Men,CHN,China,M,Silver +Athens,2004,Table Tennis,Table Tennis,doubles,"CHEN, Qi",Men,CHN,China,M,Gold +Athens,2004,Table Tennis,Table Tennis,doubles,"GUO, Yue",Women,CHN,China,W,Bronze +Athens,2004,Table Tennis,Table Tennis,doubles,"NIU, Jianfeng",Women,CHN,China,W,Bronze +Athens,2004,Table Tennis,Table Tennis,doubles,"TUGWELL, Finn",Men,DEN,Denmark,M,Bronze +Athens,2004,Table Tennis,Table Tennis,doubles,"MA, Lin",Men,CHN,China,M,Gold +Athens,2004,Table Tennis,Table Tennis,singles,"KIM, Kyungah",Women,KOR,"Korea, South",W,Bronze +Athens,2004,Table Tennis,Table Tennis,doubles,"KO, Lai Chak",Men,HKG,Hong Kong*,M,Silver +Athens,2004,Table Tennis,Table Tennis,singles,"WANG, Liqin",Men,CHN,China,M,Bronze +Athens,2004,Table Tennis,Table Tennis,doubles,"LI, Ching",Men,HKG,Hong Kong*,M,Silver +Athens,2004,Table Tennis,Table Tennis,doubles,"WANG, Nan",Women,CHN,China,W,Gold +Athens,2004,Table Tennis,Table Tennis,singles,"RYU, Seungmin",Men,KOR,"Korea, South",M,Gold +Athens,2004,Table Tennis,Table Tennis,singles,"ZHANG, Yining",Women,CHN,China,W,Gold +Athens,2004,Table Tennis,Table Tennis,doubles,"MAZE, Michael John",Men,DEN,Denmark,M,Bronze +Athens,2004,Table Tennis,Table Tennis,singles,"KIM, Hyang Mi",Women,PRK,"Korea, North",W,Silver +Athens,2004,Table Tennis,Table Tennis,doubles,"LEE, Eun Sil",Women,KOR,"Korea, South",W,Silver +Athens,2004,Table Tennis,Table Tennis,doubles,"ZHANG, Yining",Women,CHN,China,W,Gold +Athens,2004,Taekwondo,Taekwondo,68 - 80 kg,"LOPEZ, Steven",Men,USA,United States,M,Gold +Athens,2004,Taekwondo,Taekwondo,68 - 80 kg,"TANRIKULU, Bahri",Men,TUR,Turkey,M,Silver +Athens,2004,Taekwondo,Taekwondo,58 - 68 kg,"SONG, Myeong Seob",Men,KOR,"Korea, South",M,Bronze +Athens,2004,Taekwondo,Taekwondo,- 58 kg,"CHU, Mu Yen",Men,TPE,Taiwan,M,Gold +Athens,2004,Taekwondo,Taekwondo,+ 67 kg,"CHEN, Zhong",Women,CHN,China,W,Gold +Athens,2004,Taekwondo,Taekwondo,- 58 kg,"BAYOUMI, Tamer",Men,EGY,Egypt,M,Bronze +Athens,2004,Taekwondo,Taekwondo,- 58 kg,"SALAZAR BLANCO, Oscar Francisco",Men,MEX,Mexico,M,Silver +Athens,2004,Taekwondo,Taekwondo,- 49 kg,"LABRADA DIAZ, Yanelis Yuliet",Women,CUB,Cuba,W,Silver +Athens,2004,Taekwondo,Taekwondo,57 - 67 kg,"HWANG, Kyung Sun",Women,KOR,"Korea, South",W,Bronze +Athens,2004,Taekwondo,Taekwondo,57 - 67 kg,"MYSTAKIDOU, Elisavet",Women,GRE,Greece,W,Silver +Athens,2004,Taekwondo,Taekwondo,+ 80 kg,"MOON, Dae Sung",Men,KOR,"Korea, South",M,Gold +Athens,2004,Taekwondo,Taekwondo,49 - 57 kg,"JANG, Ji Won",Women,KOR,"Korea, South",W,Gold +Athens,2004,Taekwondo,Taekwondo,58 - 68 kg,"HUANG, Chih Hsiung",Men,TPE,Taiwan,M,Silver +Athens,2004,Taekwondo,Taekwondo,58 - 68 kg,"SAEI, Hadi",Men,IRI,Iran,M,Gold +Athens,2004,Taekwondo,Taekwondo,+ 67 kg,"BAVEREL, Myriam",Women,FRA,France,W,Silver +Athens,2004,Taekwondo,Taekwondo,68 - 80 kg,"KARAMI, Yossef",Men,IRI,Iran,M,Bronze +Athens,2004,Taekwondo,Taekwondo,+ 80 kg,"NIKOLAIDIS, Alexandros",Men,GRE,Greece,M,Silver +Athens,2004,Taekwondo,Taekwondo,49 - 57 kg,"ABDALLAH, Nia",Women,USA,United States,W,Silver +Athens,2004,Taekwondo,Taekwondo,- 49 kg,"CHEN, Shih Hsin",Women,TPE,Taiwan,W,Gold +Athens,2004,Taekwondo,Taekwondo,- 49 kg,"BOORAPOLCHAI, Yaowapa",Women,THA,Thailand,W,Bronze +Athens,2004,Taekwondo,Taekwondo,+ 67 kg,"CARMONA, Adriana",Women,VEN,Venezuela,W,Bronze +Athens,2004,Taekwondo,Taekwondo,57 - 67 kg,"LUO, Wei",Women,CHN,China,W,Gold +Athens,2004,Taekwondo,Taekwondo,49 - 57 kg,"SALAZAR BLANCO, Iridia",Women,MEX,Mexico,W,Bronze +Athens,2004,Taekwondo,Taekwondo,+ 80 kg,"GENTIL, Pascal",Men,FRA,France,M,Bronze +Athens,2004,Tennis,Tennis,singles,"MOLIK, Alicia",Women,AUS,Australia,W,Bronze +Athens,2004,Tennis,Tennis,doubles,"TARABINI, Patricia",Women,ARG,Argentina,W,Bronze +Athens,2004,Tennis,Tennis,singles,"MASSU, Nicolas",Men,CHI,Chile,M,Gold +Athens,2004,Tennis,Tennis,doubles,"SUN, Tian Tian",Women,CHN,China,W,Gold +Athens,2004,Tennis,Tennis,singles,"HENIN-HARDENNE, Justine",Women,BEL,Belgium,W,Gold +Athens,2004,Tennis,Tennis,doubles,"LJUBICIC, Ivan",Men,CRO,Croatia,M,Bronze +Athens,2004,Tennis,Tennis,singles,"FISH, Mardy",Men,USA,United States,M,Silver +Athens,2004,Tennis,Tennis,singles,"GONZALEZ, Fernando",Men,CHI,Chile,M,Bronze +Athens,2004,Tennis,Tennis,doubles,"SCHUETTLER, Rainer",Men,GER,Germany,M,Silver +Athens,2004,Tennis,Tennis,doubles,"KIEFER, Nicolas",Men,GER,Germany,M,Silver +Athens,2004,Tennis,Tennis,doubles,"LI, Ting",Women,CHN,China,W,Gold +Athens,2004,Tennis,Tennis,doubles,"SUAREZ, Paola",Women,ARG,Argentina,W,Bronze +Athens,2004,Tennis,Tennis,singles,"MAURESMO, Amelie",Women,FRA,France,W,Silver +Athens,2004,Tennis,Tennis,doubles,"GONZALEZ, Fernando",Men,CHI,Chile,M,Gold +Athens,2004,Tennis,Tennis,doubles,"ANCIC, Mario",Men,CRO,Croatia,M,Bronze +Athens,2004,Tennis,Tennis,doubles,"MASSU, Nicolas",Men,CHI,Chile,M,Gold +Athens,2004,Triathlon,Triathlon,Individual,"WILLIAMS, Susan",Women,USA,United States,W,Bronze +Athens,2004,Triathlon,Triathlon,Individual,"ALLEN, Kate",Women,AUT,Austria,W,Gold +Athens,2004,Triathlon,Triathlon,Individual,"CARTER, Hamish",Men,NZL,New Zealand,M,Gold +Athens,2004,Triathlon,Triathlon,Individual,"HARROP, Loretta",Women,AUS,Australia,W,Silver +Athens,2004,Triathlon,Triathlon,Individual,"DOCHERTY, Bevan",Men,NZL,New Zealand,M,Silver +Athens,2004,Triathlon,Triathlon,Individual,"RIEDERER, Sven",Men,SUI,Switzerland,M,Bronze +Athens,2004,Volleyball,Beach volley.,beach volleyball,"YOUNGS, Elaine",Women,USA,United States,W,Bronze +Athens,2004,Volleyball,Beach volley.,beach volleyball,"HERRERA, Pablo",Men,ESP,Spain,M,Silver +Athens,2004,Volleyball,Beach volley.,beach volleyball,"REGO, Emanuel",Men,BRA,Brazil,M,Gold +Athens,2004,Volleyball,Beach volley.,beach volleyball,"WALSH, Kerri",Women,USA,United States,W,Gold +Athens,2004,Volleyball,Beach volley.,beach volleyball,"SANTOS, Ricardo",Men,BRA,Brazil,M,Gold +Athens,2004,Volleyball,Beach volley.,beach volleyball,"KOBEL, Stefan",Men,SUI,Switzerland,M,Bronze +Athens,2004,Volleyball,Beach volley.,beach volleyball,"BOSMA, Javier",Men,ESP,Spain,M,Silver +Athens,2004,Volleyball,Beach volley.,beach volleyball,"MCPEAK, Holly",Women,USA,United States,W,Bronze +Athens,2004,Volleyball,Beach volley.,beach volleyball,"BEDE, Shelda",Women,BRA,Brazil,W,Silver +Athens,2004,Volleyball,Beach volley.,beach volleyball,"MAY-TREANOR, Misty",Women,USA,United States,W,Gold +Athens,2004,Volleyball,Beach volley.,beach volleyball,"BEHAR, Adriana",Women,BRA,Brazil,W,Silver +Athens,2004,Volleyball,Beach volley.,beach volleyball,"HEUSCHER, Patrick",Men,SUI,Switzerland,M,Bronze +Athens,2004,Volleyball,Volleyball,volleyball,"SANCHEZ SALFRAN, Martha",Women,CUB,Cuba,W,Bronze +Athens,2004,Volleyball,Volleyball,volleyball,"TYURINA, Elena",Women,RUS,Russia,W,Silver +Athens,2004,Volleyball,Volleyball,volleyball,"TISHCHENKO, Elizaveta",Women,RUS,Russia,W,Silver +Athens,2004,Volleyball,Volleyball,volleyball,"TEBENIKHINA, Irina",Women,RUS,Russia,W,Silver +Athens,2004,Volleyball,Volleyball,volleyball,"GODOY FILHO, Gilberto",Men,BRA,Brazil,M,Gold +Athens,2004,Volleyball,Volleyball,volleyball,"RODRIGUES, Anderson",Men,BRA,Brazil,M,Gold +Athens,2004,Volleyball,Volleyball,volleyball,"ZHAO, Ruirui",Women,CHN,China,W,Gold +Athens,2004,Volleyball,Volleyball,volleyball,"TELLEZ PALACIO, Dulce M.",Women,CUB,Cuba,W,Bronze +Athens,2004,Volleyball,Volleyball,volleyball,"MASTRANGELO, Luigi",Men,ITA,Italy,M,Silver +Athens,2004,Volleyball,Volleyball,volleyball,"CERNIC, Matej",Men,ITA,Italy,M,Silver +Athens,2004,Volleyball,Volleyball,volleyball,"TETYUKHIN, Sergey",Men,RUS,Russia,M,Bronze +Athens,2004,Volleyball,Volleyball,volleyball,"ENDRES, Gustavo",Men,BRA,Brazil,M,Gold +Athens,2004,Volleyball,Volleyball,volleyball,"SANTOS, Sergio Dutra",Men,BRA,Brazil,M,Gold +Athens,2004,Volleyball,Volleyball,volleyball,"GIANI, Andrea",Men,ITA,Italy,M,Silver +Athens,2004,Volleyball,Volleyball,volleyball,"VERMIGLIO, Valerio",Men,ITA,Italy,M,Silver +Athens,2004,Volleyball,Volleyball,volleyball,"SANTANA, Rodrigo",Men,BRA,Brazil,M,Gold +Athens,2004,Volleyball,Volleyball,volleyball,"BITENCOURT, Nalbert",Men,BRA,Brazil,M,Gold +Athens,2004,Volleyball,Volleyball,volleyball,"ZHANG, Ping",Women,CHN,China,W,Gold +Athens,2004,Volleyball,Volleyball,volleyball,"SHESHENINA, Marina",Women,RUS,Russia,W,Silver +Athens,2004,Volleyball,Volleyball,volleyball,"CARRILLO DE LA PAZ, Nancy",Women,CUB,Cuba,W,Bronze +Athens,2004,Volleyball,Volleyball,volleyball,"PAPI, Samuele",Men,ITA,Italy,M,Silver +Athens,2004,Volleyball,Volleyball,volleyball,"WANG, Lina",Women,CHN,China,W,Gold +Athens,2004,Volleyball,Volleyball,volleyball,"KHTEY, Taras",Men,RUS,Russia,M,Bronze +Athens,2004,Volleyball,Volleyball,volleyball,"ARTAMONOVA, Evgenya",Women,RUS,Russia,W,Silver +Athens,2004,Volleyball,Volleyball,volleyball,"MESA LUACES, Liana",Women,CUB,Cuba,W,Bronze +Athens,2004,Volleyball,Volleyball,volleyball,"KAZAKOV, Alexei",Men,RUS,Russia,M,Bronze +Athens,2004,Volleyball,Volleyball,volleyball,"BARROS FERNANDEZ, Zoila",Women,CUB,Cuba,W,Bronze +Athens,2004,Volleyball,Volleyball,volleyball,"USHAKOV, Konstantin",Men,RUS,Russia,M,Bronze +Athens,2004,Volleyball,Volleyball,volleyball,"ORTIZ CHARRO, Yaima",Women,CUB,Cuba,W,Bronze +Athens,2004,Volleyball,Volleyball,volleyball,"COZZI, Paolo",Men,ITA,Italy,M,Silver +Athens,2004,Volleyball,Volleyball,volleyball,"ZHANG, Na",Women,CHN,China,W,Gold +Athens,2004,Volleyball,Volleyball,volleyball,"LIU, Yanan",Women,CHN,China,W,Gold +Athens,2004,Volleyball,Volleyball,volleyball,"SAFRONOVA, Natalia",Women,RUS,Russia,W,Silver +Athens,2004,Volleyball,Volleyball,volleyball,"GAVIO, Giovane",Men,BRA,Brazil,M,Gold +Athens,2004,Volleyball,Volleyball,volleyball,"BARANOV, Sergey",Men,RUS,Russia,M,Bronze +Athens,2004,Volleyball,Volleyball,volleyball,"SONG, Nina",Women,CHN,China,W,Gold +Athens,2004,Volleyball,Volleyball,volleyball,"CHUKANOVA, Olga",Women,RUS,Russia,W,Silver +Athens,2004,Volleyball,Volleyball,volleyball,"YANG, Hao",Women,CHN,China,W,Gold +Athens,2004,Volleyball,Volleyball,volleyball,"MUNOZ CARRAZANA, Aniara",Women,CUB,Cuba,W,Bronze +Athens,2004,Volleyball,Volleyball,volleyball,"CALDERON, Rosir",Women,CUB,Cuba,W,Bronze +Athens,2004,Volleyball,Volleyball,volleyball,"CHEN, Jing",Women,CHN,China,W,Gold +Athens,2004,Volleyball,Volleyball,volleyball,"EGORCHEV, Andrey",Men,RUS,Russia,M,Bronze +Athens,2004,Volleyball,Volleyball,volleyball,"SARTORETTI, Andrea",Men,ITA,Italy,M,Silver +Athens,2004,Volleyball,Volleyball,volleyball,"VERBOV, Alexey",Men,RUS,Russia,M,Bronze +Athens,2004,Volleyball,Volleyball,volleyball,"FERNANDEZ, Ana Ibis",Women,CUB,Cuba,W,Bronze +Athens,2004,Volleyball,Volleyball,volleyball,"NASCIMENTO, Andre",Men,BRA,Brazil,M,Gold +Athens,2004,Volleyball,Volleyball,volleyball,"GAMOVA, Ekaterina",Women,RUS,Russia,W,Silver +Athens,2004,Volleyball,Volleyball,volleyball,"LI, Shan",Women,CHN,China,W,Gold +Athens,2004,Volleyball,Volleyball,volleyball,"KHAMUTTSKIKH, Vadim",Men,RUS,Russia,M,Bronze +Athens,2004,Volleyball,Volleyball,volleyball,"RUIZ LUACES, Yumilka",Women,CUB,Cuba,W,Bronze +Athens,2004,Volleyball,Volleyball,volleyball,"PIPPI, Damiano",Men,ITA,Italy,M,Silver +Athens,2004,Volleyball,Volleyball,volleyball,"KULESHOV, Alexey",Men,RUS,Russia,M,Bronze +Athens,2004,Volleyball,Volleyball,volleyball,"FENG, Kun",Women,CHN,China,W,Gold +Athens,2004,Volleyball,Volleyball,volleyball,"CHACHKOVA, Lioubov",Women,RUS,Russia,W,Silver +Athens,2004,Volleyball,Volleyball,volleyball,"PLOTNIKOVA, Elena",Women,RUS,Russia,W,Silver +Athens,2004,Volleyball,Volleyball,volleyball,"NIKOLAEVA, Olga",Women,RUS,Russia,W,Silver +Athens,2004,Volleyball,Volleyball,volleyball,"FEI, Alessandro",Men,ITA,Italy,M,Silver +Athens,2004,Volleyball,Volleyball,volleyball,"DINEYKIN, Stanislav",Men,RUS,Russia,M,Bronze +Athens,2004,Volleyball,Volleyball,volleyball,"AMARAL, Dante",Men,BRA,Brazil,M,Gold +Athens,2004,Volleyball,Volleyball,volleyball,"RAMIREZ ECHEVARRIA, Daimi",Women,CUB,Cuba,W,Bronze +Athens,2004,Volleyball,Volleyball,volleyball,"ABRAMOV, Pavel",Men,RUS,Russia,M,Bronze +Athens,2004,Volleyball,Volleyball,volleyball,"KOSAREV, Alexander",Men,RUS,Russia,M,Bronze +Athens,2004,Volleyball,Volleyball,volleyball,"GARCIA, Ricardo",Men,BRA,Brazil,M,Gold +Athens,2004,Volleyball,Volleyball,volleyball,"ZHOU, Suhong",Women,CHN,China,W,Gold +Athens,2004,Volleyball,Volleyball,volleyball,"KORUKOVETS, Alexandra",Women,RUS,Russia,W,Silver +Athens,2004,Volleyball,Volleyball,volleyball,"TOFOLI, Paolo",Men,ITA,Italy,M,Silver +Athens,2004,Volleyball,Volleyball,volleyball,"LIMA, Mauricio",Men,BRA,Brazil,M,Gold +Athens,2004,Volleyball,Volleyball,volleyball,"CISOLLA, Alberto",Men,ITA,Italy,M,Silver +Athens,2004,Volleyball,Volleyball,volleyball,"ZHANG, Yuehong",Women,CHN,China,W,Gold +Athens,2004,Volleyball,Volleyball,volleyball,"MARTINEZ ADLUN, Maybelis",Women,CUB,Cuba,W,Bronze +Athens,2004,Volleyball,Volleyball,volleyball,"HELLER, Andre",Men,BRA,Brazil,M,Gold +Athens,2004,Weightlifting,Weightlifting,53kg,"MOSQUERA, Mabel",Women,COL,Colombia,W,Bronze +Athens,2004,Weightlifting,Weightlifting,105kg,"BERESTOV, Dmitry",Men,RUS,Russia,M,Gold +Athens,2004,Weightlifting,Weightlifting,+ 75kg,"TANG, Gonghong",Women,CHN,China,W,Gold +Athens,2004,Weightlifting,Weightlifting,58kg,"KAMEAIM, Wandee",Women,THA,Thailand,W,Bronze +Athens,2004,Weightlifting,Weightlifting,69kg,"PECHALOV, Nikolay",Men,CRO,Croatia,M,Bronze +Athens,2004,Weightlifting,Weightlifting,62kg,"SHI, Zhiyong",Men,CHN,China,M,Gold +Athens,2004,Weightlifting,Weightlifting,53kg,"RUMBEWAS, Raema Lisa",Women,INA,Indonesia,W,Silver +Athens,2004,Weightlifting,Weightlifting,105kg,"RAZORONOV, Igor",Men,UKR,Ukraine,M,Silver +Athens,2004,Weightlifting,Weightlifting,94kg,"TJUKIN, Eduard",Men,RUS,Russia,M,Bronze +Athens,2004,Weightlifting,Weightlifting,+ 105kg,"REZA ZADEH, Hossein",Men,IRI,Iran,M,Gold +Athens,2004,Weightlifting,Weightlifting,69kg,"LEE, Bae Young",Men,KOR,"Korea, South",M,Silver +Athens,2004,Weightlifting,Weightlifting,48kg,"WIRATTHAWORN, Aree",Women,THA,Thailand,W,Bronze +Athens,2004,Weightlifting,Weightlifting,105kg,"PISAREVSKIY, Gleb",Men,RUS,Russia,M,Bronze +Athens,2004,Weightlifting,Weightlifting,94kg,"AKKAEV, Khadzhimurat",Men,RUS,Russia,M,Silver +Athens,2004,Weightlifting,Weightlifting,85kg,"ASANIDZE, George",Men,GEO,Georgia,M,Gold +Athens,2004,Weightlifting,Weightlifting,63kg,"SKAKUN, Nataliya",Women,UKR,Ukraine,W,Gold +Athens,2004,Weightlifting,Weightlifting,63kg,"STUKALAVA, Tatsiana",Women,BLR,Belarus,W,Bronze +Athens,2004,Weightlifting,Weightlifting,+ 105kg,"SCERBATIHS, Viktors",Men,LAT,Latvia,M,Silver +Athens,2004,Weightlifting,Weightlifting,77kg,"FILIMONOV, Sergey",Men,KAZ,Kazakhstan,M,Silver +Athens,2004,Weightlifting,Weightlifting,75kg,"THONGSUK, Pawina",Women,THA,Thailand,W,Gold +Athens,2004,Weightlifting,Weightlifting,+ 75kg,"WROBEL, Agata",Women,POL,Poland,W,Bronze +Athens,2004,Weightlifting,Weightlifting,53kg,"POLSAK, Udomporn",Women,THA,Thailand,W,Gold +Athens,2004,Weightlifting,Weightlifting,69kg,"ZHANG, Guozheng",Men,CHN,China,M,Gold +Athens,2004,Weightlifting,Weightlifting,85kg,"DIMAS, Pyrros",Men,GRE,Greece,M,Bronze +Athens,2004,Weightlifting,Weightlifting,69kg,"KRUTZLER, Eszter",Women,HUN,Hungary,W,Silver +Athens,2004,Weightlifting,Weightlifting,69kg,"KASAEVA, Zarema",Women,RUS,Russia,W,Bronze +Athens,2004,Weightlifting,Weightlifting,85kg,"RYBAKOU, Andrei",Men,BLR,Belarus,M,Silver +Athens,2004,Weightlifting,Weightlifting,58kg,"RI, Song Hui",Women,PRK,"Korea, North",W,Silver +Athens,2004,Weightlifting,Weightlifting,48kg,"TAYLAN, Nurcan",Women,TUR,Turkey,W,Gold +Athens,2004,Weightlifting,Weightlifting,75kg,"POPOVA, Valentina",Women,RUS,Russia,W,Bronze +Athens,2004,Weightlifting,Weightlifting,75kg,"ZABOLOTNAIA, Natalia",Women,RUS,Russia,W,Silver +Athens,2004,Weightlifting,Weightlifting,+ 75kg,"JANG, Mi Ran",Women,KOR,"Korea, South",W,Silver +Athens,2004,Weightlifting,Weightlifting,"- 56kg, total (bantamweight)","ARTUC, Sedat",Men,TUR,Turkey,M,Bronze +Athens,2004,Weightlifting,Weightlifting,"- 56kg, total (bantamweight)","WU, Meijin",Men,CHN,China,M,Silver +Athens,2004,Weightlifting,Weightlifting,69kg,"LIU, Chunhong",Women,CHN,China,W,Gold +Athens,2004,Weightlifting,Weightlifting,77kg,"SAGIR, Taner",Men,TUR,Turkey,M,Gold +Athens,2004,Weightlifting,Weightlifting,63kg,"BATSIUSHKA, Hanna",Women,BLR,Belarus,W,Silver +Athens,2004,Weightlifting,Weightlifting,94kg,"DOBREV, Milen",Men,BUL,Bulgaria,M,Gold +Athens,2004,Weightlifting,Weightlifting,62kg,"LE, Maosheng",Men,CHN,China,M,Silver +Athens,2004,Weightlifting,Weightlifting,77kg,"PEREPETCHENOV, Oleg",Men,RUS,Russia,M,Bronze +Athens,2004,Weightlifting,Weightlifting,58kg,"CHEN, Yanqing",Women,CHN,China,W,Gold +Athens,2004,Weightlifting,Weightlifting,+ 105kg,"CHOLAKOV, Velichko",Men,BUL,Bulgaria,M,Bronze +Athens,2004,Weightlifting,Weightlifting,62kg,"RUBIO, Israel Jose",Men,VEN,Venezuela,M,Bronze +Athens,2004,Weightlifting,Weightlifting,"- 56kg, total (bantamweight)","MUTLU, Halil",Men,TUR,Turkey,M,Gold +Athens,2004,Weightlifting,Weightlifting,48kg,"LI, Zhuo",Women,CHN,China,W,Silver +Athens,2004,Wrestling,Wrestling Free.,60 - 66kg,"KELLY, Jamill",Men,USA,United States,M,Silver +Athens,2004,Wrestling,Wrestling Free.,48 - 55kg,"GOMIS, Anna",Women,FRA,France,W,Bronze +Athens,2004,Wrestling,Wrestling Free.,96 - 120kg,"REZAEI, Alireza",Men,IRI,Iran,M,Silver +Athens,2004,Wrestling,Wrestling Free.,- 55kg,"BATIROV, Mavlet",Men,RUS,Russia,M,Gold +Athens,2004,Wrestling,Wrestling Free.,- 48kg,"MERLENI, Irini",Women,UKR,Ukraine,W,Gold +Athens,2004,Wrestling,Wrestling Free.,55 - 60kg,"INOUE, Kenji",Men,JPN,Japan,M,Bronze +Athens,2004,Wrestling,Wrestling Free.,63 - 72kg,"MANIOUROVA, Gouzel",Women,RUS,Russia,W,Silver +Athens,2004,Wrestling,Wrestling Free.,55 - 63kg,"ICHO, Kaori",Women,JPN,Japan,W,Gold +Athens,2004,Wrestling,Wrestling Free.,55 - 63kg,"MCMANN, Sara",Women,USA,United States,W,Silver +Athens,2004,Wrestling,Wrestling Free.,48 - 55kg,"VERBEEK, Tonya",Women,CAN,Canada,W,Silver +Athens,2004,Wrestling,Wrestling Free.,- 48kg,"MIRANDA, Patricia",Women,USA,United States,W,Bronze +Athens,2004,Wrestling,Wrestling Free.,63 - 72kg,"HAMAGUCHI, Kyoko",Women,JPN,Japan,W,Bronze +Athens,2004,Wrestling,Wrestling Free.,55 - 60kg,"QUINTANA, Yandro Miguel",Men,CUB,Cuba,M,Gold +Athens,2004,Wrestling,Wrestling Free.,48 - 55kg,"YOSHIDA, Saori",Women,JPN,Japan,W,Gold +Athens,2004,Wrestling,Wrestling Free.,74 - 84kg,"MOON, Eui Jae",Men,KOR,"Korea, South",M,Silver +Athens,2004,Wrestling,Wrestling Free.,55 - 63kg,"LEGRAND, Lise",Women,FRA,France,W,Bronze +Athens,2004,Wrestling,Wrestling Free.,84 - 96kg,"IBRAGIMOV, Magomed",Men,UZB,Uzbekistan,M,Silver +Athens,2004,Wrestling,Wrestling Free.,74 - 84kg,"SANDERSON, Cael",Men,USA,United States,M,Gold +Athens,2004,Wrestling,Wrestling Free.,63 - 72kg,"WANG, Xu",Women,CHN,China,W,Gold +Athens,2004,Wrestling,Wrestling Free.,60 - 66kg,"TEDEYEV, Elbrus",Men,UKR,Ukraine,M,Gold +Athens,2004,Wrestling,Wrestling Free.,66 - 74kg,"LALIYEV, Gennadiy",Men,KAZ,Kazakhstan,M,Silver +Athens,2004,Wrestling,Wrestling Free.,74 - 84kg,"SAZHIDOV, Sazhid",Men,RUS,Russia,M,Bronze +Athens,2004,Wrestling,Wrestling Free.,- 55kg,"ABAS, Stephen",Men,USA,United States,M,Silver +Athens,2004,Wrestling,Wrestling Free.,55 - 60kg,"JOKAR, Masuod",Men,IRI,Iran,M,Silver +Athens,2004,Wrestling,Wrestling Free.,66 - 74kg,"FUNDORA, Ivan",Men,CUB,Cuba,M,Bronze +Athens,2004,Wrestling,Wrestling Free.,84 - 96kg,"GATSALOV, Khadjimourat",Men,RUS,Russia,M,Gold +Athens,2004,Wrestling,Wrestling Free.,84 - 96kg,"HEIDARI, Alireza",Men,IRI,Iran,M,Bronze +Athens,2004,Wrestling,Wrestling Free.,60 - 66kg,"MURTAZALIEV, Makhach",Men,RUS,Russia,M,Bronze +Athens,2004,Wrestling,Wrestling Free.,96 - 120kg,"TAYMAZOV, Artur",Men,UZB,Uzbekistan,M,Gold +Athens,2004,Wrestling,Wrestling Free.,- 48kg,"ICHO, Chiharu",Women,JPN,Japan,W,Silver +Athens,2004,Wrestling,Wrestling Free.,- 55kg,"TANABE, Chikara",Men,JPN,Japan,M,Bronze +Athens,2004,Wrestling,Wrestling Free.,66 - 74kg,"SAYTIEV, Buvaysa",Men,RUS,Russia,M,Gold +Athens,2004,Wrestling,Wrestling Free.,96 - 120kg,"POLATCI, Aydin",Men,TUR,Turkey,M,Bronze +Athens,2004,Wrestling,Wrestling Gre-R,55 - 60kg,"MONZON, Roberto",Men,CUB,Cuba,M,Silver +Athens,2004,Wrestling,Wrestling Gre-R,55 - 60kg,"JUNG, Ji-Hyun",Men,KOR,"Korea, South",M,Gold +Athens,2004,Wrestling,Wrestling Gre-R,74 - 84kg,"MICHINE, Alexei",Men,RUS,Russia,M,Gold +Athens,2004,Wrestling,Wrestling Gre-R,96 - 120kg,"TSURTSUMIA, Georgiy",Men,KAZ,Kazakhstan,M,Silver +Athens,2004,Wrestling,Wrestling Gre-R,60 - 66kg,"MANSUROV, Farid",Men,AZE,Azerbaijan,M,Gold +Athens,2004,Wrestling,Wrestling Gre-R,74 - 84kg,"MAKARANKA, Viachaslau",Men,BLR,Belarus,M,Bronze +Athens,2004,Wrestling,Wrestling Gre-R,60 - 66kg,"MANUKYAN, Mkkhitar",Men,KAZ,Kazakhstan,M,Bronze +Athens,2004,Wrestling,Wrestling Gre-R,84 - 96kg,"OZAL, Mehmet",Men,TUR,Turkey,M,Bronze +Athens,2004,Wrestling,Wrestling Gre-R,- 55kg,"KIOUREGKIAN, Artiom",Men,GRE,Greece,M,Bronze +Athens,2004,Wrestling,Wrestling Gre-R,55 - 60kg,"NAZARIAN, Armen",Men,BUL,Bulgaria,M,Bronze +Athens,2004,Wrestling,Wrestling Gre-R,66 - 74kg,"DOKTURISHIVILI, Alexandr",Men,UZB,Uzbekistan,M,Gold +Athens,2004,Wrestling,Wrestling Gre-R,96 - 120kg,"GARDNER, Rulon",Men,USA,United States,M,Bronze +Athens,2004,Wrestling,Wrestling Gre-R,84 - 96kg,"GABER IBRAHIM, Karam",Men,EGY,Egypt,M,Gold +Athens,2004,Wrestling,Wrestling Gre-R,60 - 66kg,"EROGLU, Seref",Men,TUR,Turkey,M,Silver +Athens,2004,Wrestling,Wrestling Gre-R,84 - 96kg,"NOZADZE, Ramaz",Men,GEO,Georgia,M,Silver +Athens,2004,Wrestling,Wrestling Gre-R,- 55kg,"MAMEDALIEV, Gueidar",Men,RUS,Russia,M,Silver +Athens,2004,Wrestling,Wrestling Gre-R,96 - 120kg,"BAROEV, Khasan",Men,RUS,Russia,M,Gold +Athens,2004,Wrestling,Wrestling Gre-R,- 55kg,"MAJOROS, Istvan",Men,HUN,Hungary,M,Gold +Athens,2004,Wrestling,Wrestling Gre-R,74 - 84kg,"ABRAHAMIAN, Ara",Men,SWE,Sweden,M,Silver +Athens,2004,Wrestling,Wrestling Gre-R,66 - 74kg,"SAMURGASHEV, Varteres",Men,RUS,Russia,M,Bronze +Athens,2004,Wrestling,Wrestling Gre-R,66 - 74kg,"YLI-HANNUKSELA, Marko",Men,FIN,Finland,M,Silver +Beijing,2008,Aquatics,Diving,3m springboard,"QIN, Kai",Men,CHN,China,M,Bronze +Beijing,2008,Aquatics,Diving,synchronized diving 10m platform,"LIN, Yue",Men,CHN,China,M,Gold +Beijing,2008,Aquatics,Diving,synchronized diving 10m platform,"WU, Melissa",Women,AUS,Australia,W,Silver +Beijing,2008,Aquatics,Diving,synchronized diving 10m platform,"DOBROSKOK, Dmitriy",Men,RUS,Russia,M,Bronze +Beijing,2008,Aquatics,Diving,synchronized diving 3m springboard,"GUO, Jingjing",Women,CHN,China,W,Gold +Beijing,2008,Aquatics,Diving,synchronized diving 10m platform,"HUO, Liang",Men,CHN,China,M,Gold +Beijing,2008,Aquatics,Diving,synchronized diving 3m springboard,"POZDNYAKOVA, Anastasia",Women,RUS,Russia,W,Silver +Beijing,2008,Aquatics,Diving,synchronized diving 3m springboard,"PRYGOROV, Oleksiy",Men,UKR,Ukraine,M,Bronze +Beijing,2008,Aquatics,Diving,synchronized diving 3m springboard,"SAUTIN, Dmitry",Men,RUS,Russia,M,Silver +Beijing,2008,Aquatics,Diving,synchronized diving 3m springboard,"KOTZIAN, Ditte",Women,GER,Germany,W,Bronze +Beijing,2008,Aquatics,Diving,synchronized diving 10m platform,"WANG, Xin",Women,CHN,China,W,Gold +Beijing,2008,Aquatics,Diving,synchronized diving 3m springboard,"KUNAKOV, Yuriy",Men,RUS,Russia,M,Silver +Beijing,2008,Aquatics,Diving,synchronized diving 3m springboard,"QIN, Kai",Men,CHN,China,M,Gold +Beijing,2008,Aquatics,Diving,10m platform,"ZHOU, Luxin",Men,CHN,China,M,Silver +Beijing,2008,Aquatics,Diving,synchronized diving 10m platform,"HAUSDING, Patrick",Men,GER,Germany,M,Silver +Beijing,2008,Aquatics,Diving,synchronized diving 3m springboard,"KVASHA, Illya",Men,UKR,Ukraine,M,Bronze +Beijing,2008,Aquatics,Diving,10m platform,"WANG, Xin",Women,CHN,China,W,Bronze +Beijing,2008,Aquatics,Diving,10m platform,"CHEN, Ruolin",Women,CHN,China,W,Gold +Beijing,2008,Aquatics,Diving,synchronized diving 3m springboard,"WANG, Feng",Men,CHN,China,M,Gold +Beijing,2008,Aquatics,Diving,3m springboard,"HE, Chong",Men,CHN,China,M,Gold +Beijing,2008,Aquatics,Diving,synchronized diving 3m springboard,"WU, Minxia",Women,CHN,China,W,Gold +Beijing,2008,Aquatics,Diving,10m platform,"MITCHAM, Matthew",Men,AUS,Australia,M,Gold +Beijing,2008,Aquatics,Diving,3m springboard,"DESPATIE, Alexandre",Men,CAN,Canada,M,Silver +Beijing,2008,Aquatics,Diving,synchronized diving 10m platform,"ESPINOSA, Paola",Women,MEX,Mexico,W,Bronze +Beijing,2008,Aquatics,Diving,synchronized diving 10m platform,"KLEIN, Sascha",Men,GER,Germany,M,Silver +Beijing,2008,Aquatics,Diving,3m springboard,"GUO, Jingjing",Women,CHN,China,W,Gold +Beijing,2008,Aquatics,Diving,10m platform,"HEYMANS, Emilie",Women,CAN,Canada,W,Silver +Beijing,2008,Aquatics,Diving,synchronized diving 10m platform,"COLE, Briony",Women,AUS,Australia,W,Silver +Beijing,2008,Aquatics,Diving,synchronized diving 10m platform,"GALPERIN, Gleb",Men,RUS,Russia,M,Bronze +Beijing,2008,Aquatics,Diving,synchronized diving 10m platform,"ORTIZ, Tatiana",Women,MEX,Mexico,W,Bronze +Beijing,2008,Aquatics,Diving,3m springboard,"PAKHALINA, Julia",Women,RUS,Russia,W,Silver +Beijing,2008,Aquatics,Diving,synchronized diving 3m springboard,"FISCHER, Heike",Women,GER,Germany,W,Bronze +Beijing,2008,Aquatics,Diving,synchronized diving 10m platform,"CHEN, Ruolin",Women,CHN,China,W,Gold +Beijing,2008,Aquatics,Diving,10m platform,"GALPERIN, Gleb",Men,RUS,Russia,M,Bronze +Beijing,2008,Aquatics,Diving,synchronized diving 3m springboard,"PAKHALINA, Julia",Women,RUS,Russia,W,Silver +Beijing,2008,Aquatics,Diving,3m springboard,"WU, Minxia",Women,CHN,China,W,Bronze +Beijing,2008,Aquatics,Swimming,4x200m freestyle relay,"VENDT, Erik",Men,USA,United States,M,Gold +Beijing,2008,Aquatics,Swimming,4x100m freestyle relay,"SMIT, Julia",Women,USA,United States,W,Silver +Beijing,2008,Aquatics,Swimming,200m breaststroke,"NORDENSTAM, Sara",Women,NOR,Norway,W,Bronze +Beijing,2008,Aquatics,Swimming,100m backstroke,"COVENTRY, Kirsty",Women,ZIM,Zimbabwe,W,Silver +Beijing,2008,Aquatics,Swimming,4x100m freestyle relay,"CALLUS, Ashley",Men,AUS,Australia,M,Bronze +Beijing,2008,Aquatics,Swimming,50m freestyle,"STEFFEN, Britta",Women,GER,Germany,W,Gold +Beijing,2008,Aquatics,Swimming,marathon 10km,"PAYNE, Keri-Anne",Women,GBR,United Kingdom,W,Silver +Beijing,2008,Aquatics,Swimming,200m individual medley,"LOCHTE, Ryan",Men,USA,United States,M,Bronze +Beijing,2008,Aquatics,Swimming,4x100m freestyle relay,"CAMPBELL, Cate",Women,AUS,Australia,W,Bronze +Beijing,2008,Aquatics,Swimming,100m breaststroke,"KITAJIMA, Kosuke",Men,JPN,Japan,M,Gold +Beijing,2008,Aquatics,Swimming,200m freestyle,"PHELPS, Michael",Men,USA,United States,M,Gold +Beijing,2008,Aquatics,Swimming,200m backstroke,"PEIRSOL, Aaron",Men,USA,United States,M,Silver +Beijing,2008,Aquatics,Swimming,100m backstroke,"COUGHLIN, Natalie",Women,USA,United States,W,Gold +Beijing,2008,Aquatics,Swimming,4x100m freestyle relay,"DEKKER, Inge",Women,NED,Netherlands,W,Gold +Beijing,2008,Aquatics,Swimming,200m breaststroke,"JONES, Leisel",Women,AUS,Australia,W,Silver +Beijing,2008,Aquatics,Swimming,4x100m medley relay,"SONI, Rebecca",Women,USA,United States,W,Silver +Beijing,2008,Aquatics,Swimming,4x100m freestyle relay,"TRICKETT, Lisbeth",Women,AUS,Australia,W,Bronze +Beijing,2008,Aquatics,Swimming,200m freestyle,"ISAKOVIC, Sara",Women,SLO,Slovenia,W,Silver +Beijing,2008,Aquatics,Swimming,4x100m freestyle relay,"SCHREUDER, Hinkelien",Women,NED,Netherlands,W,Gold +Beijing,2008,Aquatics,Swimming,4x200m freestyle relay,"BARRATT, Bronte",Women,AUS,Australia,W,Gold +Beijing,2008,Aquatics,Swimming,4x100m medley relay,"TARGETT, Matt",Men,AUS,Australia,M,Silver +Beijing,2008,Aquatics,Swimming,1500m freestyle,"HACKETT, Grant",Men,AUS,Australia,M,Silver +Beijing,2008,Aquatics,Swimming,400m individual medley,"PHELPS, Michael",Men,USA,United States,M,Gold +Beijing,2008,Aquatics,Swimming,4x100m medley relay,"LEZAK, Jason",Men,USA,United States,M,Gold +Beijing,2008,Aquatics,Swimming,4x100m medley relay,"JOYCE, Kara Lynn",Women,USA,United States,W,Silver +Beijing,2008,Aquatics,Swimming,4x100m freestyle relay,"GILOT, Fabien",Men,FRA,France,M,Silver +Beijing,2008,Aquatics,Swimming,4x100m medley relay,"FUJII, Takuro",Men,JPN,Japan,M,Bronze +Beijing,2008,Aquatics,Swimming,4x100m medley relay,"LAUTERSTEIN, Andrew",Men,AUS,Australia,M,Silver +Beijing,2008,Aquatics,Swimming,4x100m medley relay,"PINE, Adam",Men,AUS,Australia,M,Silver +Beijing,2008,Aquatics,Swimming,200m individual medley,"RICE, Stephanie",Women,AUS,Australia,W,Gold +Beijing,2008,Aquatics,Swimming,4x100m freestyle relay,"LEVEAUX, Amaury",Men,FRA,France,M,Silver +Beijing,2008,Aquatics,Swimming,400m individual medley,"COVENTRY, Kirsty",Women,ZIM,Zimbabwe,W,Silver +Beijing,2008,Aquatics,Swimming,400m freestyle,"PARK, Taehwan",Men,KOR,"Korea, South",M,Gold +Beijing,2008,Aquatics,Swimming,4x100m medley relay,"PHELPS, Michael",Men,USA,United States,M,Gold +Beijing,2008,Aquatics,Swimming,400m individual medley,"LOCHTE, Ryan",Men,USA,United States,M,Bronze +Beijing,2008,Aquatics,Swimming,4x100m medley relay,"MIYASHITA, Junichi",Men,JPN,Japan,M,Bronze +Beijing,2008,Aquatics,Swimming,100m butterfly,"PHELPS, Michael",Men,USA,United States,M,Gold +Beijing,2008,Aquatics,Swimming,4x100m medley relay,"XU, Tianlongzi",Women,CHN,China,W,Bronze +Beijing,2008,Aquatics,Swimming,4x100m medley relay,"GANGLOFF, Mark",Men,USA,United States,M,Gold +Beijing,2008,Aquatics,Swimming,4x200m freestyle relay,"MARSHALL, Christine",Women,USA,United States,W,Bronze +Beijing,2008,Aquatics,Swimming,100m butterfly,"TRICKETT, Lisbeth",Women,AUS,Australia,W,Gold +Beijing,2008,Aquatics,Swimming,4x200m freestyle relay,"BRITS, Grant",Men,AUS,Australia,M,Bronze +Beijing,2008,Aquatics,Swimming,1500m freestyle,"MELLOULI, Oussama",Men,TUN,Tunisia,M,Gold +Beijing,2008,Aquatics,Swimming,100m breaststroke,"SONI, Rebecca",Women,USA,United States,W,Silver +Beijing,2008,Aquatics,Swimming,4x200m freestyle relay,"LOCHTE, Ryan",Men,USA,United States,M,Gold +Beijing,2008,Aquatics,Swimming,4x200m freestyle relay,"KELLER, Klete",Men,USA,United States,M,Gold +Beijing,2008,Aquatics,Swimming,200m backstroke,"NAKAMURA, Reiko",Women,JPN,Japan,W,Bronze +Beijing,2008,Aquatics,Swimming,100m butterfly,"SCHIPPER, Jessicah",Women,AUS,Australia,W,Bronze +Beijing,2008,Aquatics,Swimming,400m freestyle,"JACKSON, Joanne",Women,GBR,United Kingdom,W,Bronze +Beijing,2008,Aquatics,Swimming,4x200m freestyle relay,"VANDERKAAY, Peter",Men,USA,United States,M,Gold +Beijing,2008,Aquatics,Swimming,50m freestyle,"BERNARD, Alain",Men,FRA,France,M,Bronze +Beijing,2008,Aquatics,Swimming,4x100m medley relay,"JENDRICK, Megan",Women,USA,United States,W,Silver +Beijing,2008,Aquatics,Swimming,100m breaststroke,"OEN, Alexander Dale",Men,NOR,Norway,M,Silver +Beijing,2008,Aquatics,Swimming,50m freestyle,"TORRES, Dara",Women,USA,United States,W,Silver +Beijing,2008,Aquatics,Swimming,4x200m freestyle relay,"HOFF, Katie",Women,USA,United States,W,Bronze +Beijing,2008,Aquatics,Swimming,4x100m medley relay,"REESE, Shayne",Women,AUS,Australia,W,Gold +Beijing,2008,Aquatics,Swimming,200m backstroke,"COVENTRY, Kirsty",Women,ZIM,Zimbabwe,W,Gold +Beijing,2008,Aquatics,Swimming,4x100m freestyle relay,"VAN ROOIJEN, Manon",Women,NED,Netherlands,W,Gold +Beijing,2008,Aquatics,Swimming,100m backstroke,"VYATCHANIN, Arkady",Men,RUS,Russia,M,Bronze +Beijing,2008,Aquatics,Swimming,4x100m freestyle relay,"KROMOWIDJOJO, Ranomi",Women,NED,Netherlands,W,Gold +Beijing,2008,Aquatics,Swimming,marathon 10km,"DAVIES, David",Men,GBR,United Kingdom,M,Silver +Beijing,2008,Aquatics,Swimming,4x100m medley relay,"SULLIVAN, Eamon",Men,AUS,Australia,M,Silver +Beijing,2008,Aquatics,Swimming,4x100m medley relay,"KITAJIMA, Kosuke",Men,JPN,Japan,M,Bronze +Beijing,2008,Aquatics,Swimming,4x100m freestyle relay,"SCHLANGER, Melanie",Women,AUS,Australia,W,Bronze +Beijing,2008,Aquatics,Swimming,100m backstroke,"STOECKEL, Hayden",Men,AUS,Australia,M,Bronze +Beijing,2008,Aquatics,Swimming,marathon 10km,"ILCHENKO, Larisa",Women,RUS,Russia,W,Gold +Beijing,2008,Aquatics,Swimming,200m freestyle,"PANG, Jiaying",Women,CHN,China,W,Bronze +Beijing,2008,Aquatics,Swimming,100m breaststroke,"JONES, Leisel",Women,AUS,Australia,W,Gold +Beijing,2008,Aquatics,Swimming,200m butterfly,"PHELPS, Michael",Men,USA,United States,M,Gold +Beijing,2008,Aquatics,Swimming,4x200m freestyle relay,"TANG, Jingzhi",Women,CHN,China,W,Silver +Beijing,2008,Aquatics,Swimming,4x100m medley relay,"SUN, Ye",Women,CHN,China,W,Bronze +Beijing,2008,Aquatics,Swimming,4x200m freestyle relay,"YANG, Yu",Women,CHN,China,W,Silver +Beijing,2008,Aquatics,Swimming,4x100m medley relay,"GALVEZ, Felicity",Women,AUS,Australia,W,Gold +Beijing,2008,Aquatics,Swimming,4x100m freestyle relay,"WILDMAN-TOBRINER, Ben",Men,USA,United States,M,Gold +Beijing,2008,Aquatics,Swimming,200m breaststroke,"RICKARD, Brenton",Men,AUS,Australia,M,Silver +Beijing,2008,Aquatics,Swimming,4x100m medley relay,"WHITE, Tarnee",Women,AUS,Australia,W,Gold +Beijing,2008,Aquatics,Swimming,4x200m freestyle relay,"VANDENBERG, Kim",Women,USA,United States,W,Bronze +Beijing,2008,Aquatics,Swimming,4x200m freestyle relay,"COUGHLIN, Natalie",Women,USA,United States,W,Bronze +Beijing,2008,Aquatics,Swimming,200m butterfly,"JIAO, Liuyang",Women,CHN,China,W,Silver +Beijing,2008,Aquatics,Swimming,4x100m freestyle relay,"STEIMETZ, Boris",Men,FRA,France,M,Silver +Beijing,2008,Aquatics,Swimming,200m backstroke,"VYATCHANIN, Arkady",Men,RUS,Russia,M,Bronze +Beijing,2008,Aquatics,Swimming,100m freestyle,"LEZAK, Jason",Men,USA,United States,M,Bronze +Beijing,2008,Aquatics,Swimming,400m freestyle,"JENSEN, Larsen",Men,USA,United States,M,Bronze +Beijing,2008,Aquatics,Swimming,200m backstroke,"HOELZER, Margaret",Women,USA,United States,W,Silver +Beijing,2008,Aquatics,Swimming,4x100m freestyle relay,"LAUTERSTEIN, Andrew",Men,AUS,Australia,M,Bronze +Beijing,2008,Aquatics,Swimming,4x200m freestyle relay,"BURCKLE, Caroline",Women,USA,United States,W,Bronze +Beijing,2008,Aquatics,Swimming,400m individual medley,"HOFF, Katie",Women,USA,United States,W,Bronze +Beijing,2008,Aquatics,Swimming,4x100m freestyle relay,"BOUSQUET, Frederick",Men,FRA,France,M,Silver +Beijing,2008,Aquatics,Swimming,4x100m medley relay,"COUGHLIN, Natalie",Women,USA,United States,W,Silver +Beijing,2008,Aquatics,Swimming,4x100m medley relay,"DELANEY, Ashley",Men,AUS,Australia,M,Silver +Beijing,2008,Aquatics,Swimming,marathon 10km,"VAN DER WEIJDEN, Maarten",Men,NED,Netherlands,M,Gold +Beijing,2008,Aquatics,Swimming,4x100m freestyle relay,"JONES, Cullen",Men,USA,United States,M,Gold +Beijing,2008,Aquatics,Swimming,200m freestyle,"VANDERKAAY, Peter",Men,USA,United States,M,Bronze +Beijing,2008,Aquatics,Swimming,4x200m freestyle relay,"SMIT, Julia",Women,USA,United States,W,Bronze +Beijing,2008,Aquatics,Swimming,4x200m freestyle relay,"PANG, Jiaying",Women,CHN,China,W,Silver +Beijing,2008,Aquatics,Swimming,4x200m freestyle relay,"WALTERS, David",Men,USA,United States,M,Gold +Beijing,2008,Aquatics,Swimming,4x200m freestyle relay,"SCHMITT, Allison",Women,USA,United States,W,Bronze +Beijing,2008,Aquatics,Swimming,4x100m medley relay,"WEBER-GALE, Garrett",Men,USA,United States,M,Gold +Beijing,2008,Aquatics,Swimming,4x200m freestyle relay,"LOBINTSEV, Nikita",Men,RUS,Russia,M,Silver +Beijing,2008,Aquatics,Swimming,800m freestyle,"ADLINGTON, Rebecca",Women,GBR,United Kingdom,W,Gold +Beijing,2008,Aquatics,Swimming,4x200m freestyle relay,"MURPHY, Patrick",Men,AUS,Australia,M,Bronze +Beijing,2008,Aquatics,Swimming,4x200m freestyle relay,"FFROST, Nick",Men,AUS,Australia,M,Bronze +Beijing,2008,Aquatics,Swimming,4x100m medley relay,"CROCKER, Ian",Men,USA,United States,M,Gold +Beijing,2008,Aquatics,Swimming,100m butterfly,"CAVIC, Milorad",Men,SRB,Serbia,M,Silver +Beijing,2008,Aquatics,Swimming,200m individual medley,"COVENTRY, Kirsty",Women,ZIM,Zimbabwe,W,Silver +Beijing,2008,Aquatics,Swimming,4x200m freestyle relay,"IZOTOV, Danila",Men,RUS,Russia,M,Silver +Beijing,2008,Aquatics,Swimming,400m freestyle,"ZHANG, Lin",Men,CHN,China,M,Silver +Beijing,2008,Aquatics,Swimming,800m freestyle,"FILIPPI, Alessia",Women,ITA,Italy,W,Silver +Beijing,2008,Aquatics,Swimming,4x200m freestyle relay,"BAINBRIDGE, Angie",Women,AUS,Australia,W,Gold +Beijing,2008,Aquatics,Swimming,200m backstroke,"LOCHTE, Ryan",Men,USA,United States,M,Gold +Beijing,2008,Aquatics,Swimming,4x100m freestyle relay,"COUGHLIN, Natalie",Women,USA,United States,W,Silver +Beijing,2008,Aquatics,Swimming,4x200m freestyle relay,"ZHU, Qianwei",Women,CHN,China,W,Silver +Beijing,2008,Aquatics,Swimming,4x100m medley relay,"PEIRSOL, Aaron",Men,USA,United States,M,Gold +Beijing,2008,Aquatics,Swimming,1500m freestyle,"COCHRANE, Ryan",Men,CAN,Canada,M,Bronze +Beijing,2008,Aquatics,Swimming,4x100m freestyle relay,"TORRES, Dara",Women,USA,United States,W,Silver +Beijing,2008,Aquatics,Swimming,400m freestyle,"HOFF, Katie",Women,USA,United States,W,Silver +Beijing,2008,Aquatics,Swimming,4x100m medley relay,"TORRES, Dara",Women,USA,United States,W,Silver +Beijing,2008,Aquatics,Swimming,4x200m freestyle relay,"BERENS, Ricky",Men,USA,United States,M,Gold +Beijing,2008,Aquatics,Swimming,4x100m freestyle relay,"LEZAK, Jason",Men,USA,United States,M,Gold +Beijing,2008,Aquatics,Swimming,100m backstroke,"GREVERS, Matt",Men,USA,United States,M,Silver +Beijing,2008,Aquatics,Swimming,4x100m medley relay,"SCHIPPER, Jessicah",Women,AUS,Australia,W,Gold +Beijing,2008,Aquatics,Swimming,400m individual medley,"RICE, Stephanie",Women,AUS,Australia,W,Gold +Beijing,2008,Aquatics,Swimming,4x100m freestyle relay,"TARGETT, Matt",Men,AUS,Australia,M,Bronze +Beijing,2008,Aquatics,Swimming,400m freestyle,"ADLINGTON, Rebecca",Women,GBR,United Kingdom,W,Gold +Beijing,2008,Aquatics,Swimming,4x100m freestyle relay,"HEEMSKERK, Femke",Women,NED,Netherlands,W,Gold +Beijing,2008,Aquatics,Swimming,200m breaststroke,"SONI, Rebecca",Women,USA,United States,W,Gold +Beijing,2008,Aquatics,Swimming,200m individual medley,"CSEH, Laszlo",Men,HUN,Hungary,M,Silver +Beijing,2008,Aquatics,Swimming,200m butterfly,"CSEH, Laszlo",Men,HUN,Hungary,M,Silver +Beijing,2008,Aquatics,Swimming,marathon 10km,"LURZ, Thomas",Men,GER,Germany,M,Bronze +Beijing,2008,Aquatics,Swimming,4x200m freestyle relay,"TAN, Miao",Women,CHN,China,W,Silver +Beijing,2008,Aquatics,Swimming,4x100m freestyle relay,"ADRIAN, Nathan",Men,USA,United States,M,Gold +Beijing,2008,Aquatics,Swimming,800m freestyle,"FRIIS, Lotte",Women,DEN,Denmark,W,Bronze +Beijing,2008,Aquatics,Swimming,4x100m freestyle relay,"SULLIVAN, Eamon",Men,AUS,Australia,M,Bronze +Beijing,2008,Aquatics,Swimming,4x100m medley relay,"HOELZER, Margaret",Women,USA,United States,W,Silver +Beijing,2008,Aquatics,Swimming,4x100m medley relay,"ZHOU, Yafei",Women,CHN,China,W,Bronze +Beijing,2008,Aquatics,Swimming,4x100m medley relay,"GREVERS, Matt",Men,USA,United States,M,Gold +Beijing,2008,Aquatics,Swimming,4x100m medley relay,"HANSEN, Brendan",Men,USA,United States,M,Gold +Beijing,2008,Aquatics,Swimming,4x100m medley relay,"PANG, Jiaying",Women,CHN,China,W,Bronze +Beijing,2008,Aquatics,Swimming,4x200m freestyle relay,"PALMER, Kylie",Women,AUS,Australia,W,Gold +Beijing,2008,Aquatics,Swimming,4x200m freestyle relay,"GALVEZ, Felicity",Women,AUS,Australia,W,Gold +Beijing,2008,Aquatics,Swimming,4x100m freestyle relay,"PHELPS, Michael",Men,USA,United States,M,Gold +Beijing,2008,Aquatics,Swimming,4x200m freestyle relay,"PHELPS, Michael",Men,USA,United States,M,Gold +Beijing,2008,Aquatics,Swimming,100m backstroke,"PEIRSOL, Aaron",Men,USA,United States,M,Gold +Beijing,2008,Aquatics,Swimming,400m individual medley,"CSEH, Laszlo",Men,HUN,Hungary,M,Silver +Beijing,2008,Aquatics,Swimming,200m freestyle,"PARK, Taehwan",Men,KOR,"Korea, South",M,Silver +Beijing,2008,Aquatics,Swimming,100m freestyle,"BERNARD, Alain",Men,FRA,France,M,Gold +Beijing,2008,Aquatics,Swimming,4x200m freestyle relay,"BRODIE, Leith",Men,AUS,Australia,M,Bronze +Beijing,2008,Aquatics,Swimming,4x100m medley relay,"SPRENGER, Christian",Men,AUS,Australia,M,Silver +Beijing,2008,Aquatics,Swimming,100m butterfly,"MAGNUSON, Christine",Women,USA,United States,W,Silver +Beijing,2008,Aquatics,Swimming,4x100m freestyle relay,"MALLET, Gregory",Men,FRA,France,M,Silver +Beijing,2008,Aquatics,Swimming,50m freestyle,"CIELO FILHO, Cesar",Men,BRA,Brazil,M,Gold +Beijing,2008,Aquatics,Swimming,50m freestyle,"LEVEAUX, Amaury",Men,FRA,France,M,Silver +Beijing,2008,Aquatics,Swimming,4x100m medley relay,"ZHAO, Jing",Women,CHN,China,W,Bronze +Beijing,2008,Aquatics,Swimming,4x100m freestyle relay,"BRODIE, Leith",Men,AUS,Australia,M,Bronze +Beijing,2008,Aquatics,Swimming,4x100m freestyle relay,"BERNARD, Alain",Men,FRA,France,M,Silver +Beijing,2008,Aquatics,Swimming,100m freestyle,"SULLIVAN, Eamon",Men,AUS,Australia,M,Silver +Beijing,2008,Aquatics,Swimming,4x100m freestyle relay,"SILVER, Emily",Women,USA,United States,W,Silver +Beijing,2008,Aquatics,Swimming,4x100m medley relay,"SEEBOHM, Emily",Women,AUS,Australia,W,Gold +Beijing,2008,Aquatics,Swimming,100m freestyle,"TRICKETT, Lisbeth",Women,AUS,Australia,W,Silver +Beijing,2008,Aquatics,Swimming,4x100m freestyle relay,"JOYCE, Kara Lynn",Women,USA,United States,W,Silver +Beijing,2008,Aquatics,Swimming,4x100m medley relay,"TRICKETT, Lisbeth",Women,AUS,Australia,W,Gold +Beijing,2008,Aquatics,Swimming,4x100m medley relay,"RICKARD, Brenton",Men,AUS,Australia,M,Silver +Beijing,2008,Aquatics,Swimming,200m individual medley,"COUGHLIN, Natalie",Women,USA,United States,W,Bronze +Beijing,2008,Aquatics,Swimming,4x200m freestyle relay,"MACKENZIE, Linda",Women,AUS,Australia,W,Gold +Beijing,2008,Aquatics,Swimming,200m butterfly,"SCHIPPER, Jessicah",Women,AUS,Australia,W,Bronze +Beijing,2008,Aquatics,Swimming,100m freestyle,"COUGHLIN, Natalie",Women,USA,United States,W,Bronze +Beijing,2008,Aquatics,Swimming,4x100m freestyle relay,"GREVERS, Matt",Men,USA,United States,M,Gold +Beijing,2008,Aquatics,Swimming,200m breaststroke,"KITAJIMA, Kosuke",Men,JPN,Japan,M,Gold +Beijing,2008,Aquatics,Swimming,4x200m freestyle relay,"SUKHORUKOV, Alexander",Men,RUS,Russia,M,Silver +Beijing,2008,Aquatics,Swimming,4x100m freestyle relay,"NYMEYER, Lacey",Women,USA,United States,W,Silver +Beijing,2008,Aquatics,Swimming,200m individual medley,"PHELPS, Michael",Men,USA,United States,M,Gold +Beijing,2008,Aquatics,Swimming,4x100m freestyle relay,"REESE, Shayne",Women,AUS,Australia,W,Bronze +Beijing,2008,Aquatics,Swimming,100m backstroke,"HOELZER, Margaret",Women,USA,United States,W,Bronze +Beijing,2008,Aquatics,Swimming,4x100m freestyle relay,"VELDHUIS, Marleen",Women,NED,Netherlands,W,Gold +Beijing,2008,Aquatics,Swimming,100m breaststroke,"JUKIC, Mirna",Women,AUT,Austria,W,Bronze +Beijing,2008,Aquatics,Swimming,4x100m medley relay,"JONES, Leisel",Women,AUS,Australia,W,Gold +Beijing,2008,Aquatics,Swimming,4x100m medley relay,"MAGNUSON, Christine",Women,USA,United States,W,Silver +Beijing,2008,Aquatics,Swimming,4x200m freestyle relay,"PALMER, Kirk",Men,AUS,Australia,M,Bronze +Beijing,2008,Aquatics,Swimming,4x100m medley relay,"STOECKEL, Hayden",Men,AUS,Australia,M,Silver +Beijing,2008,Aquatics,Swimming,200m butterfly,"MATSUDA, Takeshi",Men,JPN,Japan,M,Bronze +Beijing,2008,Aquatics,Swimming,100m freestyle,"CIELO FILHO, Cesar",Men,BRA,Brazil,M,Bronze +Beijing,2008,Aquatics,Swimming,4x200m freestyle relay,"HACKETT, Grant",Men,AUS,Australia,M,Bronze +Beijing,2008,Aquatics,Swimming,4x200m freestyle relay,"SCHLANGER, Melanie",Women,AUS,Australia,W,Gold +Beijing,2008,Aquatics,Swimming,200m freestyle,"PELLEGRINI, Federica",Women,ITA,Italy,W,Gold +Beijing,2008,Aquatics,Swimming,4x100m freestyle relay,"MURPHY, Patrick",Men,AUS,Australia,M,Bronze +Beijing,2008,Aquatics,Swimming,50m freestyle,"CAMPBELL, Cate",Women,AUS,Australia,W,Bronze +Beijing,2008,Aquatics,Swimming,4x100m freestyle relay,"MILLS, Alice",Women,AUS,Australia,W,Bronze +Beijing,2008,Aquatics,Swimming,200m breaststroke,"DUBOSCQ, Hugues",Men,FRA,France,M,Bronze +Beijing,2008,Aquatics,Swimming,4x200m freestyle relay,"RICE, Stephanie",Women,AUS,Australia,W,Gold +Beijing,2008,Aquatics,Swimming,4x100m medley relay,"BREEDEN, Elaine",Women,USA,United States,W,Silver +Beijing,2008,Aquatics,Swimming,4x200m freestyle relay,"DAVENPORT, Lara",Women,AUS,Australia,W,Gold +Beijing,2008,Aquatics,Swimming,100m freestyle,"STEFFEN, Britta",Women,GER,Germany,W,Gold +Beijing,2008,Aquatics,Swimming,marathon 10km,"PATTEN, Cassandra",Women,GBR,United Kingdom,W,Bronze +Beijing,2008,Aquatics,Swimming,4x200m freestyle relay,"POLISHCHUK, Mikhail",Men,RUS,Russia,M,Silver +Beijing,2008,Aquatics,Swimming,100m butterfly,"LAUTERSTEIN, Andrew",Men,AUS,Australia,M,Bronze +Beijing,2008,Aquatics,Swimming,100m breaststroke,"DUBOSCQ, Hugues",Men,FRA,France,M,Bronze +Beijing,2008,Aquatics,Swimming,4x100m medley relay,"SATO, Hisayoshi",Men,JPN,Japan,M,Bronze +Beijing,2008,Aquatics,Swimming,4x200m freestyle relay,"LAGUNOV, Evgeniy",Men,RUS,Russia,M,Silver +Beijing,2008,Aquatics,Swimming,4x100m freestyle relay,"WEBER-GALE, Garrett",Men,USA,United States,M,Gold +Beijing,2008,Aquatics,Swimming,200m butterfly,"LIU, Zige",Women,CHN,China,W,Gold +Beijing,2008,Aquatics,Synchronized S.,team,"OVCHINNIKOVA, Elena",Women,RUS,Russia,W,Gold +Beijing,2008,Aquatics,Synchronized S.,duet,"MENGUAL, Gemma",Women,ESP,Spain,W,Silver +Beijing,2008,Aquatics,Synchronized S.,team,"ROMASHINA, Svetlana",Women,RUS,Russia,W,Gold +Beijing,2008,Aquatics,Synchronized S.,team,"SHORINA, Anna",Women,RUS,Russia,W,Gold +Beijing,2008,Aquatics,Synchronized S.,team,"FUENTES, Andrea",Women,ESP,Spain,W,Silver +Beijing,2008,Aquatics,Synchronized S.,team,"TIRADOS, Paola",Women,ESP,Spain,W,Silver +Beijing,2008,Aquatics,Synchronized S.,team,"LIU, Ou",Women,CHN,China,W,Bronze +Beijing,2008,Aquatics,Synchronized S.,team,"ISHCHENKO, Natalia",Women,RUS,Russia,W,Gold +Beijing,2008,Aquatics,Synchronized S.,team,"GROMOVA, Maria",Women,RUS,Russia,W,Gold +Beijing,2008,Aquatics,Synchronized S.,team,"MORON, Gisela",Women,ESP,Spain,W,Silver +Beijing,2008,Aquatics,Synchronized S.,team,"JIANG, Tingting",Women,CHN,China,W,Bronze +Beijing,2008,Aquatics,Synchronized S.,duet,"HARADA, Saho",Women,JPN,Japan,W,Bronze +Beijing,2008,Aquatics,Synchronized S.,team,"HENRIQUEZ, Thais",Women,ESP,Spain,W,Silver +Beijing,2008,Aquatics,Synchronized S.,team,"RODRIGUEZ, Irina",Women,ESP,Spain,W,Silver +Beijing,2008,Aquatics,Synchronized S.,team,"KHASYANOVA, Elvira",Women,RUS,Russia,W,Gold +Beijing,2008,Aquatics,Synchronized S.,team,"CORRAL, Raquel",Women,ESP,Spain,W,Silver +Beijing,2008,Aquatics,Synchronized S.,team,"GU, Beibei",Women,CHN,China,W,Bronze +Beijing,2008,Aquatics,Synchronized S.,team,"LOPEZ, Laura",Women,ESP,Spain,W,Silver +Beijing,2008,Aquatics,Synchronized S.,team,"KUZHELA, Olga",Women,RUS,Russia,W,Gold +Beijing,2008,Aquatics,Synchronized S.,team,"DAVYDOVA, Anastasia",Women,RUS,Russia,W,Gold +Beijing,2008,Aquatics,Synchronized S.,team,"MENGUAL, Gemma",Women,ESP,Spain,W,Silver +Beijing,2008,Aquatics,Synchronized S.,duet,"ERMAKOVA, Anastasia",Women,RUS,Russia,W,Gold +Beijing,2008,Aquatics,Synchronized S.,duet,"SUZUKI, Emiko",Women,JPN,Japan,W,Bronze +Beijing,2008,Aquatics,Synchronized S.,team,"ZHANG, Xiaohuan",Women,CHN,China,W,Bronze +Beijing,2008,Aquatics,Synchronized S.,team,"ERMAKOVA, Anastasia",Women,RUS,Russia,W,Gold +Beijing,2008,Aquatics,Synchronized S.,team,"WANG, Na",Women,CHN,China,W,Bronze +Beijing,2008,Aquatics,Synchronized S.,team,"LUO, Xi",Women,CHN,China,W,Bronze +Beijing,2008,Aquatics,Synchronized S.,duet,"DAVYDOVA, Anastasia",Women,RUS,Russia,W,Gold +Beijing,2008,Aquatics,Synchronized S.,team,"SUN, Qiuting",Women,CHN,China,W,Bronze +Beijing,2008,Aquatics,Synchronized S.,team,"CABELLO, Alba Maria",Women,ESP,Spain,W,Silver +Beijing,2008,Aquatics,Synchronized S.,team,"JIANG, Wenwen",Women,CHN,China,W,Bronze +Beijing,2008,Aquatics,Synchronized S.,team,"HUANG, Xuechen",Women,CHN,China,W,Bronze +Beijing,2008,Aquatics,Synchronized S.,duet,"FUENTES, Andrea",Women,ESP,Spain,W,Silver +Beijing,2008,Aquatics,Water polo,water polo,"CABOUT, Mieke",Women,NED,Netherlands,W,Gold +Beijing,2008,Aquatics,Water polo,water polo,"GERGELY, Istvan",Men,HUN,Hungary,M,Gold +Beijing,2008,Aquatics,Water polo,water polo,"HIPP, Jaime",Women,USA,United States,W,Silver +Beijing,2008,Aquatics,Water polo,water polo,"STEFFENS, Jessica",Women,USA,United States,W,Silver +Beijing,2008,Aquatics,Water polo,water polo,"DE NOOY, Meike",Women,NED,Netherlands,W,Gold +Beijing,2008,Aquatics,Water polo,water polo,"FILIPOVIC, Filip",Men,SRB,Serbia,M,Bronze +Beijing,2008,Aquatics,Water polo,water polo,"MOSES, Merrill",Men,USA,United States,M,Silver +Beijing,2008,Aquatics,Water polo,water polo,"SMITH, Jesse",Men,USA,United States,M,Silver +Beijing,2008,Aquatics,Water polo,water polo,"VAN DEN BERG, Gillian",Women,NED,Netherlands,W,Gold +Beijing,2008,Aquatics,Water polo,water polo,"SORO, Slobodan",Men,SRB,Serbia,M,Bronze +Beijing,2008,Aquatics,Water polo,water polo,"WRIGHT, Adam",Men,USA,United States,M,Silver +Beijing,2008,Aquatics,Water polo,water polo,"MERLO, Rick",Men,USA,United States,M,Silver +Beijing,2008,Aquatics,Water polo,water polo,"HOSNYANSZKY, Norbert",Men,HUN,Hungary,M,Gold +Beijing,2008,Aquatics,Water polo,water polo,"MOLNAR, Tamas",Men,HUN,Hungary,M,Gold +Beijing,2008,Aquatics,Water polo,water polo,"SANTOROMITO, Mia",Women,AUS,Australia,W,Bronze +Beijing,2008,Aquatics,Water polo,water polo,"AZEVEDO, Tony",Men,USA,United States,M,Silver +Beijing,2008,Aquatics,Water polo,water polo,"BEAUBIEN, Layne",Men,USA,United States,M,Silver +Beijing,2008,Aquatics,Water polo,water polo,"RIPPON, Rebecca",Women,AUS,Australia,W,Bronze +Beijing,2008,Aquatics,Water polo,water polo,"BIROS, Peter",Men,HUN,Hungary,M,Gold +Beijing,2008,Aquatics,Water polo,water polo,"KOOT, Simone",Women,NED,Netherlands,W,Gold +Beijing,2008,Aquatics,Water polo,water polo,"WINDES, Elsie",Women,USA,United States,W,Silver +Beijing,2008,Aquatics,Water polo,water polo,"GREGORKA, Alison",Women,USA,United States,W,Silver +Beijing,2008,Aquatics,Water polo,water polo,"CUFFE, Nikita",Women,AUS,Australia,W,Bronze +Beijing,2008,Aquatics,Water polo,water polo,"CARDENAS, Patty",Women,USA,United States,W,Silver +Beijing,2008,Aquatics,Water polo,water polo,"GOLDA, Natalie",Women,USA,United States,W,Silver +Beijing,2008,Aquatics,Water polo,water polo,"VAN BELKUM, Iefke",Women,NED,Netherlands,W,Gold +Beijing,2008,Aquatics,Water polo,water polo,"MADARAS, Norbert",Men,HUN,Hungary,M,Gold +Beijing,2008,Aquatics,Water polo,water polo,"HUTTEN, Tim",Men,USA,United States,M,Silver +Beijing,2008,Aquatics,Water polo,water polo,"SIJBRING, Alette",Women,NED,Netherlands,W,Gold +Beijing,2008,Aquatics,Water polo,water polo,"BENEDEK, Tibor",Men,HUN,Hungary,M,Gold +Beijing,2008,Aquatics,Water polo,water polo,"HAKHVERDIAN, Biurakn",Women,NED,Netherlands,W,Gold +Beijing,2008,Aquatics,Water polo,water polo,"VAN NORMAN, Moriah",Women,USA,United States,W,Silver +Beijing,2008,Aquatics,Water polo,water polo,"CRAIG, Kami",Women,USA,United States,W,Silver +Beijing,2008,Aquatics,Water polo,water polo,"GOCIC, Zivko",Men,SRB,Serbia,M,Bronze +Beijing,2008,Aquatics,Water polo,water polo,"GUICHELAAR, Rianne",Women,NED,Netherlands,W,Gold +Beijing,2008,Aquatics,Water polo,water polo,"SMIT, Yasemin",Women,NED,Netherlands,W,Gold +Beijing,2008,Aquatics,Water polo,water polo,"HETZEL, Amy",Women,AUS,Australia,W,Bronze +Beijing,2008,Aquatics,Water polo,water polo,"PIJETLOVIC, Dusko",Men,SRB,Serbia,M,Bronze +Beijing,2008,Aquatics,Water polo,water polo,"GOFERS, Taniele",Women,AUS,Australia,W,Bronze +Beijing,2008,Aquatics,Water polo,water polo,"PETRI, Heather",Women,USA,United States,W,Silver +Beijing,2008,Aquatics,Water polo,water polo,"SZECSI, Zoltan",Men,HUN,Hungary,M,Gold +Beijing,2008,Aquatics,Water polo,water polo,"GYNTHER, Kate",Women,AUS,Australia,W,Bronze +Beijing,2008,Aquatics,Water polo,water polo,"SEFIK, Denis",Men,SRB,Serbia,M,Bronze +Beijing,2008,Aquatics,Water polo,water polo,"PRLAINOVIC, Andrija",Men,SRB,Serbia,M,Bronze +Beijing,2008,Aquatics,Water polo,water polo,"KLEIN, Noeki",Women,NED,Netherlands,W,Gold +Beijing,2008,Aquatics,Water polo,water polo,"SANTOROMITO, Jenna",Women,AUS,Australia,W,Bronze +Beijing,2008,Aquatics,Water polo,water polo,"VARGA, Tamas",Men,HUN,Hungary,M,Gold +Beijing,2008,Aquatics,Water polo,water polo,"HUDNUT, Peter",Men,USA,United States,M,Silver +Beijing,2008,Aquatics,Water polo,water polo,"KNOX, Bronwen",Women,AUS,Australia,W,Bronze +Beijing,2008,Aquatics,Water polo,water polo,"SAVIC, Dejan",Men,SRB,Serbia,M,Bronze +Beijing,2008,Aquatics,Water polo,water polo,"ARMSTRONG, Elizabeth",Women,USA,United States,W,Silver +Beijing,2008,Aquatics,Water polo,water polo,"VARELLAS, Peter",Men,USA,United States,M,Silver +Beijing,2008,Aquatics,Water polo,water polo,"RADJEN, Nikola",Men,SRB,Serbia,M,Bronze +Beijing,2008,Aquatics,Water polo,water polo,"VAN DEN HAM, Marieke",Women,NED,Netherlands,W,Gold +Beijing,2008,Aquatics,Water polo,water polo,"KRUMPHOLZ, James",Men,USA,United States,M,Silver +Beijing,2008,Aquatics,Water polo,water polo,"MCCORMACK, Alicia",Women,AUS,Australia,W,Bronze +Beijing,2008,Aquatics,Water polo,water polo,"KIS, Gabor",Men,HUN,Hungary,M,Gold +Beijing,2008,Aquatics,Water polo,water polo,"SAPIC, Aleksandar",Men,SRB,Serbia,M,Bronze +Beijing,2008,Aquatics,Water polo,water polo,"VARGA, Daniel Rudolf",Men,HUN,Hungary,M,Gold +Beijing,2008,Aquatics,Water polo,water polo,"HAYES, Brittany",Women,USA,United States,W,Silver +Beijing,2008,Aquatics,Water polo,water polo,"CIRIC, Aleksandar",Men,SRB,Serbia,M,Bronze +Beijing,2008,Aquatics,Water polo,water polo,"KASAS, Tamas",Men,HUN,Hungary,M,Gold +Beijing,2008,Aquatics,Water polo,water polo,"FRASER, Suzie",Women,AUS,Australia,W,Bronze +Beijing,2008,Aquatics,Water polo,water polo,"RIPPON, Melissa",Women,AUS,Australia,W,Bronze +Beijing,2008,Aquatics,Water polo,water polo,"POWERS, Jeffrey",Men,USA,United States,M,Silver +Beijing,2008,Aquatics,Water polo,water polo,"KNOX, Emma",Women,AUS,Australia,W,Bronze +Beijing,2008,Aquatics,Water polo,water polo,"VARGA, Denes Andor",Men,HUN,Hungary,M,Gold +Beijing,2008,Aquatics,Water polo,water polo,"VUJASINOVIC, Vladimir",Men,SRB,Serbia,M,Bronze +Beijing,2008,Aquatics,Water polo,water polo,"DE BRUIJN, Danielle",Women,NED,Netherlands,W,Gold +Beijing,2008,Aquatics,Water polo,water polo,"BAILEY, Ryan",Men,USA,United States,M,Silver +Beijing,2008,Aquatics,Water polo,water polo,"WENGER, Lauren",Women,USA,United States,W,Silver +Beijing,2008,Aquatics,Water polo,water polo,"BEADSWORTH, Gemma",Women,AUS,Australia,W,Bronze +Beijing,2008,Aquatics,Water polo,water polo,"PEKOVIC, Branko",Men,SRB,Serbia,M,Bronze +Beijing,2008,Aquatics,Water polo,water polo,"BROOKS, Brandon",Men,USA,United States,M,Silver +Beijing,2008,Aquatics,Water polo,water polo,"VILLA, Brenda",Women,USA,United States,W,Silver +Beijing,2008,Aquatics,Water polo,water polo,"VAN DER MEIJDEN, Ilse",Women,NED,Netherlands,W,Gold +Beijing,2008,Aquatics,Water polo,water polo,"KISS, Gergely",Men,HUN,Hungary,M,Gold +Beijing,2008,Aquatics,Water polo,water polo,"UDOVICIC, Vanja",Men,SRB,Serbia,M,Bronze +Beijing,2008,Archery,Archery,individual (FITA Olympic round - 70m),"RUBAN, Viktor",Men,UKR,Ukraine,M,Gold +Beijing,2008,Archery,Archery,team (FITA Olympic round - 70m),"YUN, Ok-Hee",Women,KOR,"Korea, South",W,Gold +Beijing,2008,Archery,Archery,team (FITA Olympic round - 70m),"NESPOLI, Mauro",Men,ITA,Italy,M,Silver +Beijing,2008,Archery,Archery,team (FITA Olympic round - 70m),"XUE, Hai Feng",Men,CHN,China,M,Bronze +Beijing,2008,Archery,Archery,individual (FITA Olympic round - 70m),"PARK, Sung-Hyun",Women,KOR,"Korea, South",W,Silver +Beijing,2008,Archery,Archery,team (FITA Olympic round - 70m),"DI BUO', Ilario",Men,ITA,Italy,M,Silver +Beijing,2008,Archery,Archery,individual (FITA Olympic round - 70m),"ZHANG, Juan Juan",Women,CHN,China,W,Gold +Beijing,2008,Archery,Archery,team (FITA Olympic round - 70m),"JIANG, Lin",Men,CHN,China,M,Bronze +Beijing,2008,Archery,Archery,individual (FITA Olympic round - 70m),"YUN, Ok-Hee",Women,KOR,"Korea, South",W,Bronze +Beijing,2008,Archery,Archery,team (FITA Olympic round - 70m),"GUO, Dan",Women,CHN,China,W,Silver +Beijing,2008,Archery,Archery,team (FITA Olympic round - 70m),"ARNOLD, Virginie",Women,FRA,France,W,Bronze +Beijing,2008,Archery,Archery,individual (FITA Olympic round - 70m),"PARK, Kyung-Mo",Men,KOR,"Korea, South",M,Silver +Beijing,2008,Archery,Archery,team (FITA Olympic round - 70m),"CHEN, Ling",Women,CHN,China,W,Silver +Beijing,2008,Archery,Archery,team (FITA Olympic round - 70m),"GALIAZZO, Marco",Men,ITA,Italy,M,Silver +Beijing,2008,Archery,Archery,team (FITA Olympic round - 70m),"LI, Wenquan",Men,CHN,China,M,Bronze +Beijing,2008,Archery,Archery,team (FITA Olympic round - 70m),"JOO, Hyun-Jung",Women,KOR,"Korea, South",W,Gold +Beijing,2008,Archery,Archery,team (FITA Olympic round - 70m),"LEE, Chang-Hwan",Men,KOR,"Korea, South",M,Gold +Beijing,2008,Archery,Archery,team (FITA Olympic round - 70m),"SCHUH, Berengere",Women,FRA,France,W,Bronze +Beijing,2008,Archery,Archery,team (FITA Olympic round - 70m),"IM, Dong-Hyun",Men,KOR,"Korea, South",M,Gold +Beijing,2008,Archery,Archery,team (FITA Olympic round - 70m),"PARK, Kyung-Mo",Men,KOR,"Korea, South",M,Gold +Beijing,2008,Archery,Archery,individual (FITA Olympic round - 70m),"BADENOV, Bair",Men,RUS,Russia,M,Bronze +Beijing,2008,Archery,Archery,team (FITA Olympic round - 70m),"ZHANG, Juan Juan",Women,CHN,China,W,Silver +Beijing,2008,Archery,Archery,team (FITA Olympic round - 70m),"DODEMONT, Sophie",Women,FRA,France,W,Bronze +Beijing,2008,Archery,Archery,team (FITA Olympic round - 70m),"PARK, Sung-Hyun",Women,KOR,"Korea, South",W,Gold +Beijing,2008,Athletics,Athletics,100m,"SIMPSON, Sherone",Women,JAM,Jamaica,W,Silver +Beijing,2008,Athletics,Athletics,4x400m relay,"TAYLOR, Angelo",Men,USA,United States,M,Gold +Beijing,2008,Athletics,Athletics,200m,"CAMPBELL-BROWN, Veronica",Women,JAM,Jamaica,W,Gold +Beijing,2008,Athletics,Athletics,800m,"BUNGEI, Wilfred",Men,KEN,Kenya,M,Gold +Beijing,2008,Athletics,Athletics,4x100m relay,"CARTER, Nesta",Men,JAM,Jamaica,M,Gold +Beijing,2008,Athletics,Athletics,javelin throw,"KOVALS, Ainars",Men,LAT,Latvia,M,Silver +Beijing,2008,Athletics,Athletics,javelin throw,"THORKILDSEN, Andreas",Men,NOR,Norway,M,Gold +Beijing,2008,Athletics,Athletics,400m hurdles,"CLEMENT, Kerron",Men,USA,United States,M,Silver +Beijing,2008,Athletics,Athletics,4x400m relay,"KAPACHINSKAYA, Anastasia",Women,RUS,Russia,W,Silver +Beijing,2008,Athletics,Athletics,hammer throw,"TSIKHAN, Ivan",Men,BLR,Belarus,M,Bronze +Beijing,2008,Athletics,Athletics,4x100m relay,"FRATER, Michael",Men,JAM,Jamaica,M,Gold +Beijing,2008,Athletics,Athletics,4x400m relay,"WILLIAMS, Novelene",Women,JAM,Jamaica,W,Bronze +Beijing,2008,Athletics,Athletics,heptathlon,"DOBRYNSKA, Nataliia",Women,UKR,Ukraine,W,Gold +Beijing,2008,Athletics,Athletics,4x100m relay,"OSAYOMI, Oludamola",Women,NGR,Nigeria,W,Bronze +Beijing,2008,Athletics,Athletics,50km walk,"TALLENT, Jared",Men,AUS,Australia,M,Silver +Beijing,2008,Athletics,Athletics,marathon,"TOMESCU, Constantina",Women,ROU,Romania,W,Gold +Beijing,2008,Athletics,Athletics,200m,"BOLT, Usain",Men,JAM,Jamaica,M,Gold +Beijing,2008,Athletics,Athletics,4x100m relay,"POLYAKOVA, Evgeniya",Women,RUS,Russia,W,Gold +Beijing,2008,Athletics,Athletics,4x400m relay,"FELIX, Allyson",Women,USA,United States,W,Gold +Beijing,2008,Athletics,Athletics,4x100m relay,"POWELL, Asafa",Men,JAM,Jamaica,M,Gold +Beijing,2008,Athletics,Athletics,4x400m relay,"LLOYD, Shereefa",Women,JAM,Jamaica,W,Bronze +Beijing,2008,Athletics,Athletics,10000m,"BEKELE, Kenenisa",Men,ETH,Ethiopia,M,Gold +Beijing,2008,Athletics,Athletics,800m,"YEGO, Alfred Kirwa",Men,KEN,Kenya,M,Bronze +Beijing,2008,Athletics,Athletics,discus throw,"BARRIOS, Yarelys",Women,CUB,Cuba,W,Silver +Beijing,2008,Athletics,Athletics,triple jump,"IDOWU, Phillips",Men,GBR,United Kingdom,M,Silver +Beijing,2008,Athletics,Athletics,100m hurdles,"HARPER, Dawn",Women,USA,United States,W,Gold +Beijing,2008,Athletics,Athletics,triple jump,"LEBEDEVA, Tatyana",Women,RUS,Russia,W,Silver +Beijing,2008,Athletics,Athletics,1500m,"TOBIAS, Nataliya",Women,UKR,Ukraine,W,Bronze +Beijing,2008,Athletics,Athletics,4x100m relay,"CALLENDER, Emmanuel",Men,TRI,Trinidad and Tobago,M,Silver +Beijing,2008,Athletics,Athletics,long jump,"LEBEDEVA, Tatyana",Women,RUS,Russia,W,Silver +Beijing,2008,Athletics,Athletics,discus throw,"ANTONOVA, Olena",Women,UKR,Ukraine,W,Bronze +Beijing,2008,Athletics,Athletics,1500m,"LISHCHYNSKA, Iryna",Women,UKR,Ukraine,W,Silver +Beijing,2008,Athletics,Athletics,5000m,"BEKELE, Kenenisa",Men,ETH,Ethiopia,M,Gold +Beijing,2008,Athletics,Athletics,4x400m relay,"ALEXEEV, Denis",Men,RUS,Russia,M,Bronze +Beijing,2008,Athletics,Athletics,high jump,"RYBAKOV, Yaroslav",Men,RUS,Russia,M,Bronze +Beijing,2008,Athletics,Athletics,4x400m relay,"NEVILLE, David",Men,USA,United States,M,Gold +Beijing,2008,Athletics,Athletics,triple jump,"MBANGO ETONE, Francoise",Women,CMR,Cameroon,W,Gold +Beijing,2008,Athletics,Athletics,100m,"STEWART, Kerron",Women,JAM,Jamaica,W,Silver +Beijing,2008,Athletics,Athletics,4x100m relay,"ASAHARA, Nobuharu",Men,JPN,Japan,M,Bronze +Beijing,2008,Athletics,Athletics,100m,"DIX, Walter",Men,USA,United States,M,Bronze +Beijing,2008,Athletics,Athletics,5000m,"DIBABA, Tirunesh",Women,ETH,Ethiopia,W,Gold +Beijing,2008,Athletics,Athletics,100m hurdles,"MCLELLAN, Sally",Women,AUS,Australia,W,Silver +Beijing,2008,Athletics,Athletics,100m,"THOMPSON, Richard",Men,TRI,Trinidad and Tobago,M,Silver +Beijing,2008,Athletics,Athletics,triple jump,"SANDS, Leevan",Men,BAH,Bahamas,M,Bronze +Beijing,2008,Athletics,Athletics,4x100m relay,"MARIEN, Hanna",Women,BEL,Belgium,W,Silver +Beijing,2008,Athletics,Athletics,10000m,"ABEYLEGESSE, Elvan",Women,TUR,Turkey,W,Silver +Beijing,2008,Athletics,Athletics,10000m,"KOGO, Micah",Men,KEN,Kenya,M,Bronze +Beijing,2008,Athletics,Athletics,decathlon,"CLAY, Bryan",Men,USA,United States,M,Gold +Beijing,2008,Athletics,Athletics,discus throw,"MALACHOWSKI, Piotr",Men,POL,Poland,M,Silver +Beijing,2008,Athletics,Athletics,400m hurdles,"TAYLOR, Angelo",Men,USA,United States,M,Gold +Beijing,2008,Athletics,Athletics,4x100m relay,"GEVAERT, Kim",Women,BEL,Belgium,W,Silver +Beijing,2008,Athletics,Athletics,4x400m relay,"MERRITT, LaShawn",Men,USA,United States,M,Gold +Beijing,2008,Athletics,Athletics,shot put,"MIKHNEVICH, Natallia",Women,BLR,Belarus,W,Silver +Beijing,2008,Athletics,Athletics,5000m,"ABEYLEGESSE, Elvan",Women,TUR,Turkey,W,Silver +Beijing,2008,Athletics,Athletics,400m hurdles,"TOSTA, Sheena",Women,USA,United States,W,Silver +Beijing,2008,Athletics,Athletics,4x400m relay,"WILLIAMS, Andrae",Men,BAH,Bahamas,M,Silver +Beijing,2008,Athletics,Athletics,4x100m relay,"ISMAILA, Halimat",Women,NGR,Nigeria,W,Bronze +Beijing,2008,Athletics,Athletics,heptathlon,"CHERNOVA, Tatiana",Women,RUS,Russia,W,Bronze +Beijing,2008,Athletics,Athletics,20km race walk,"RIGAUDO, Elisa",Women,ITA,Italy,W,Bronze +Beijing,2008,Athletics,Athletics,decathlon,"SUAREZ, Leonel",Men,CUB,Cuba,M,Bronze +Beijing,2008,Athletics,Athletics,20km walk,"TALLENT, Jared",Men,AUS,Australia,M,Bronze +Beijing,2008,Athletics,Athletics,4x400m relay,"MATHIEU, Michael",Men,BAH,Bahamas,M,Silver +Beijing,2008,Athletics,Athletics,800m,"JELIMO, Pamela",Women,KEN,Kenya,W,Gold +Beijing,2008,Athletics,Athletics,4x100m relay,"SUETSUGU, Shingo",Men,JPN,Japan,M,Bronze +Beijing,2008,Athletics,Athletics,20km walk,"BORCHIN, Valeriy",Men,RUS,Russia,M,Gold +Beijing,2008,Athletics,Athletics,long jump,"MAGGI, Maurren Higa",Women,BRA,Brazil,W,Gold +Beijing,2008,Athletics,Athletics,400m,"WARINER, Jeremy",Men,USA,United States,M,Silver +Beijing,2008,Athletics,Athletics,200m,"STEWART, Kerron",Women,JAM,Jamaica,W,Bronze +Beijing,2008,Athletics,Athletics,400m,"RICHARDS, Sanya",Women,USA,United States,W,Bronze +Beijing,2008,Athletics,Athletics,5000m,"DEFAR, Meseret",Women,ETH,Ethiopia,W,Bronze +Beijing,2008,Athletics,Athletics,3000m steeplechase,"GALKINA-SAMITOVA, Gulnara",Women,RUS,Russia,W,Gold +Beijing,2008,Athletics,Athletics,long jump,"SALADINO ARANDA, Irving Jahir",Men,PAN,Panama,M,Gold +Beijing,2008,Athletics,Athletics,shot put,"OSTAPCHUK, Nadzeya",Women,BLR,Belarus,W,Bronze +Beijing,2008,Athletics,Athletics,4x400m relay,"DYLDIN, Maksim",Men,RUS,Russia,M,Bronze +Beijing,2008,Athletics,Athletics,800m,"BUSIENEI, Janeth Jepkosgei",Women,KEN,Kenya,W,Silver +Beijing,2008,Athletics,Athletics,1500m,"WILLIS, Nicholas",Men,NZL,New Zealand,M,Silver +Beijing,2008,Athletics,Athletics,100m hurdles,"LOPES-SCHLIEP, Priscilla",Women,CAN,Canada,W,Bronze +Beijing,2008,Athletics,Athletics,100m,"BOLT, Usain",Men,JAM,Jamaica,M,Gold +Beijing,2008,Athletics,Athletics,4x100m relay,"OUEDRAOGO, Elodie",Women,BEL,Belgium,W,Silver +Beijing,2008,Athletics,Athletics,4x100m relay,"IDOKO, Franca",Women,NGR,Nigeria,W,Bronze +Beijing,2008,Athletics,Athletics,marathon,"WANSIRU, Samuel Kamau",Men,KEN,Kenya,M,Gold +Beijing,2008,Athletics,Athletics,4x400m relay,"FIROVA, Tatiana",Women,RUS,Russia,W,Silver +Beijing,2008,Athletics,Athletics,4x100m relay,"BLEDMAN, Keston",Men,TRI,Trinidad and Tobago,M,Silver +Beijing,2008,Athletics,Athletics,high jump,"HELLEBAUT, Tia",Women,BEL,Belgium,W,Gold +Beijing,2008,Athletics,Athletics,4x400m relay,"GUSHCHINA, Yulia",Women,RUS,Russia,W,Silver +Beijing,2008,Athletics,Athletics,triple jump,"EVORA, Nelson",Men,POR,Portugal,M,Gold +Beijing,2008,Athletics,Athletics,800m,"ISMAIL, Ismail Ahmed",Men,SUD,Sudan,M,Silver +Beijing,2008,Athletics,Athletics,pole vault,"HOOKER, Steve",Men,AUS,Australia,M,Gold +Beijing,2008,Athletics,Athletics,3000m steeplechase,"MATEELONG, Richard Kipkemboi",Men,KEN,Kenya,M,Bronze +Beijing,2008,Athletics,Athletics,1500m,"BAALA, Mehdi",Men,FRA,France,M,Bronze +Beijing,2008,Athletics,Athletics,4x400m relay,"LITVINOVA, Liudmila",Women,RUS,Russia,W,Silver +Beijing,2008,Athletics,Athletics,200m,"FELIX, Allyson",Women,USA,United States,W,Silver +Beijing,2008,Athletics,Athletics,javelin throw,"SPOTAKOVA, Barbora",Women,CZE,Czech Republic,W,Gold +Beijing,2008,Athletics,Athletics,3000m steeplechase,"KIPRUTO, Brimin Kiprop",Men,KEN,Kenya,M,Gold +Beijing,2008,Athletics,Athletics,110m hurdles,"ROBLES, Dayron",Men,CUB,Cuba,M,Gold +Beijing,2008,Athletics,Athletics,javelin throw,"ABAKUMOVA, Maria",Women,RUS,Russia,W,Silver +Beijing,2008,Athletics,Athletics,400m hurdles,"JACKSON, Bershawn",Men,USA,United States,M,Bronze +Beijing,2008,Athletics,Athletics,high jump,"MASON, Germaine",Men,GBR,United Kingdom,M,Silver +Beijing,2008,Athletics,Athletics,long jump,"MOKOENA, Khotso",Men,RSA,South Africa,M,Silver +Beijing,2008,Athletics,Athletics,pole vault,"LUKYANENKO, Evgeny",Men,RUS,Russia,M,Silver +Beijing,2008,Athletics,Athletics,4x100m relay,"BURNS, Marc",Men,TRI,Trinidad and Tobago,M,Silver +Beijing,2008,Athletics,Athletics,high jump,"SILNOV, Andrey",Men,RUS,Russia,M,Gold +Beijing,2008,Athletics,Athletics,3000m steeplechase,"JEPKORIR, Eunice",Women,KEN,Kenya,W,Silver +Beijing,2008,Athletics,Athletics,hammer throw,"MIANKOVA, Aksana",Women,BLR,Belarus,W,Gold +Beijing,2008,Athletics,Athletics,4x400m relay,"WINEBERG, Mary",Women,USA,United States,W,Gold +Beijing,2008,Athletics,Athletics,110m hurdles,"PAYNE, David",Men,USA,United States,M,Silver +Beijing,2008,Athletics,Athletics,5000m,"SOI, Edwin Cheruiyot",Men,KEN,Kenya,M,Bronze +Beijing,2008,Athletics,Athletics,20km race walk,"KANISKINA, Olga",Women,RUS,Russia,W,Gold +Beijing,2008,Athletics,Athletics,hammer throw,"DEVYATOVSKIY, Vadim",Men,BLR,Belarus,M,Silver +Beijing,2008,Athletics,Athletics,800m,"BENHASSI, Hasna",Women,MAR,Morocco,W,Bronze +Beijing,2008,Athletics,Athletics,marathon,"NDEREBA, Catherine",Women,KEN,Kenya,W,Silver +Beijing,2008,Athletics,Athletics,long jump,"OKAGBARE, Blessing",Women,NGR,Nigeria,W,Bronze +Beijing,2008,Athletics,Athletics,3000m steeplechase,"VOLKOVA, Ekaterina",Women,RUS,Russia,W,Bronze +Beijing,2008,Athletics,Athletics,hammer throw,"ZHANG, Wenxiu",Women,CHN,China,W,Bronze +Beijing,2008,Athletics,Athletics,discus throw,"KANTER, Gerd",Men,EST,Estonia,M,Gold +Beijing,2008,Athletics,Athletics,shot put,"MAJEWSKI, Tomasz",Men,POL,Poland,M,Gold +Beijing,2008,Athletics,Athletics,50km walk,"NIZHEGORODOV, Denis",Men,RUS,Russia,M,Bronze +Beijing,2008,Athletics,Athletics,shot put,"CANTWELL, Christian",Men,USA,United States,M,Silver +Beijing,2008,Athletics,Athletics,marathon,"ZHOU, Chunxiu",Women,CHN,China,W,Bronze +Beijing,2008,Athletics,Athletics,pole vault,"STUCZYNSKI, Jennifer",Women,USA,United States,W,Silver +Beijing,2008,Athletics,Athletics,4x400m relay,"KOKORIN, Anton",Men,RUS,Russia,M,Bronze +Beijing,2008,Athletics,Athletics,10000m,"SIHINE, Sileshi",Men,ETH,Ethiopia,M,Silver +Beijing,2008,Athletics,Athletics,4x100m relay,"BORLEE, Olivia",Women,BEL,Belgium,W,Silver +Beijing,2008,Athletics,Athletics,hammer throw,"KOZMUS, Primoz",Men,SLO,Slovenia,M,Gold +Beijing,2008,Athletics,Athletics,4x100m relay,"CHERMOSHANSKAYA, Yuliya",Women,RUS,Russia,W,Gold +Beijing,2008,Athletics,Athletics,400m,"OHURUOGU, Christine",Women,GBR,United Kingdom,W,Gold +Beijing,2008,Athletics,Athletics,4x100m relay,"FEDORIVA, Aleksandra",Women,RUS,Russia,W,Gold +Beijing,2008,Athletics,Athletics,4x400m relay,"WHYTE, Rosemarie",Women,JAM,Jamaica,W,Bronze +Beijing,2008,Athletics,Athletics,4x100m relay,"KEMASUODE, Gloria",Women,NGR,Nigeria,W,Bronze +Beijing,2008,Athletics,Athletics,javelin throw,"PITKAMAKI, Tero",Men,FIN,Finland,M,Bronze +Beijing,2008,Athletics,Athletics,shot put,"VILI, Valerie",Women,NZL,New Zealand,W,Gold +Beijing,2008,Athletics,Athletics,javelin throw,"OBERGFOLL, Christina",Women,GER,Germany,W,Bronze +Beijing,2008,Athletics,Athletics,10000m,"DIBABA, Tirunesh",Women,ETH,Ethiopia,W,Gold +Beijing,2008,Athletics,Athletics,200m,"DIX, Walter",Men,USA,United States,M,Bronze +Beijing,2008,Athletics,Athletics,pole vault,"ISINBAEVA, Elena",Women,RUS,Russia,W,Gold +Beijing,2008,Athletics,Athletics,100m,"FRASER, Shelly-ann",Women,JAM,Jamaica,W,Gold +Beijing,2008,Athletics,Athletics,4x400m relay,"BAIN, Andretti",Men,BAH,Bahamas,M,Silver +Beijing,2008,Athletics,Athletics,110m hurdles,"OLIVER, David",Men,USA,United States,M,Bronze +Beijing,2008,Athletics,Athletics,1500m,"LANGAT, Nancy jebet",Women,KEN,Kenya,W,Gold +Beijing,2008,Athletics,Athletics,20km walk,"PEREZ, Jefferson",Men,ECU,Ecuador,M,Silver +Beijing,2008,Athletics,Athletics,400m,"WILLIAMS, Shericka",Women,JAM,Jamaica,W,Silver +Beijing,2008,Athletics,Athletics,400m,"NEVILLE, David",Men,USA,United States,M,Bronze +Beijing,2008,Athletics,Athletics,400m,"MERRITT, LaShawn",Men,USA,United States,M,Gold +Beijing,2008,Athletics,Athletics,4x100m relay,"THOMPSON, Richard",Men,TRI,Trinidad and Tobago,M,Silver +Beijing,2008,Athletics,Athletics,heptathlon,"FOUNTAIN, Hyleas",Women,USA,United States,W,Silver +Beijing,2008,Athletics,Athletics,decathlon,"KRAUCHANKA, Andrei",Men,BLR,Belarus,M,Silver +Beijing,2008,Athletics,Athletics,50km walk,"SCHWAZER, Alex",Men,ITA,Italy,M,Gold +Beijing,2008,Athletics,Athletics,4x400m relay,"WILLIAMS, Shericka",Women,JAM,Jamaica,W,Bronze +Beijing,2008,Athletics,Athletics,marathon,"KEBEDE, Tsegay",Men,ETH,Ethiopia,M,Bronze +Beijing,2008,Athletics,Athletics,5000m,"KIPCHOGE, Eliud",Men,KEN,Kenya,M,Silver +Beijing,2008,Athletics,Athletics,4x100m relay,"TSUKAHARA, Naoki",Men,JPN,Japan,M,Bronze +Beijing,2008,Athletics,Athletics,long jump,"CAMEJO, Ibrahim",Men,CUB,Cuba,M,Bronze +Beijing,2008,Athletics,Athletics,pole vault,"FEOFANOVA, Svetlana",Women,RUS,Russia,W,Bronze +Beijing,2008,Athletics,Athletics,shot put,"MIKHNEVICH, Andrei",Men,BLR,Belarus,M,Bronze +Beijing,2008,Athletics,Athletics,4x400m relay,"RICHARDS, Sanya",Women,USA,United States,W,Gold +Beijing,2008,Athletics,Athletics,triple jump,"DEVETZI, Hrysopiyi",Women,GRE,Greece,W,Bronze +Beijing,2008,Athletics,Athletics,discus throw,"BROWN TRAFTON, Stephanie",Women,USA,United States,W,Gold +Beijing,2008,Athletics,Athletics,pole vault,"YURCHENKO, Denys",Men,UKR,Ukraine,M,Bronze +Beijing,2008,Athletics,Athletics,3000m steeplechase,"MEKHISSI-B., Mahiedine",Men,FRA,France,M,Silver +Beijing,2008,Athletics,Athletics,200m,"CRAWFORD, Shawn",Men,USA,United States,M,Silver +Beijing,2008,Athletics,Athletics,4x400m relay,"BROWN, Christopher",Men,BAH,Bahamas,M,Silver +Beijing,2008,Athletics,Athletics,high jump,"CHICHEROVA, Anna",Women,RUS,Russia,W,Bronze +Beijing,2008,Athletics,Athletics,1500m,"KIPROP, Asbel Kipruto",Men,KEN,Kenya,M,Gold +Beijing,2008,Athletics,Athletics,4x100m relay,"TAKAHIRA, Shinji",Men,JPN,Japan,M,Bronze +Beijing,2008,Athletics,Athletics,discus throw,"ALEKNA, Virgilijus",Men,LTU,Lithuania,M,Bronze +Beijing,2008,Athletics,Athletics,20km race walk,"PLATZER, Kjersti Tysse",Women,NOR,Norway,W,Silver +Beijing,2008,Athletics,Athletics,high jump,"VLASIC, Blanka",Women,CRO,Croatia,W,Silver +Beijing,2008,Athletics,Athletics,marathon,"GHARIB, Jaouad",Men,MAR,Morocco,M,Silver +Beijing,2008,Athletics,Athletics,4x400m relay,"WARINER, Jeremy",Men,USA,United States,M,Gold +Beijing,2008,Athletics,Athletics,4x400m relay,"FROLOV, Vladislav",Men,RUS,Russia,M,Bronze +Beijing,2008,Athletics,Athletics,hammer throw,"MORENO, Yipsi",Women,CUB,Cuba,W,Silver +Beijing,2008,Athletics,Athletics,4x100m relay,"BOLT, Usain",Men,JAM,Jamaica,M,Gold +Beijing,2008,Athletics,Athletics,4x100m relay,"GUSHCHINA, Yulia",Women,RUS,Russia,W,Gold +Beijing,2008,Athletics,Athletics,400m hurdles,"WALKER, Melaine",Women,JAM,Jamaica,W,Gold +Beijing,2008,Athletics,Athletics,10000m,"FLANAGAN, Shalane",Women,USA,United States,W,Bronze +Beijing,2008,Athletics,Athletics,4x400m relay,"HENDERSON, Monique",Women,USA,United States,W,Gold +Beijing,2008,Athletics,Athletics,400m hurdles,"DANVERS, Tasha",Women,GBR,United Kingdom,W,Bronze +Beijing,2008,Badminton,Badminton,doubles,"SETIAWAN, Hendra",Men,INA,Indonesia,M,Gold +Beijing,2008,Badminton,Badminton,singles,"ZHANG, Ning",Women,CHN,China,W,Gold +Beijing,2008,Badminton,Badminton,doubles,"DU, Jing",Women,CHN,China,W,Gold +Beijing,2008,Badminton,Badminton,doubles,"LEE, Kyungwon",Women,KOR,"Korea, South",W,Silver +Beijing,2008,Badminton,Badminton,doubles,"YU, Yang",Women,CHN,China,X,Bronze +Beijing,2008,Badminton,Badminton,doubles,"HWANG, Jiman",Men,KOR,"Korea, South",M,Bronze +Beijing,2008,Badminton,Badminton,doubles,"LEE, Yongdae",Men,KOR,"Korea, South",X,Gold +Beijing,2008,Badminton,Badminton,doubles,"YU, Yang",Women,CHN,China,W,Gold +Beijing,2008,Badminton,Badminton,doubles,"WIDIANTO, Nova",Men,INA,Indonesia,X,Silver +Beijing,2008,Badminton,Badminton,doubles,"FU, Haifeng",Men,CHN,China,M,Silver +Beijing,2008,Badminton,Badminton,doubles,"ZHANG, Yawen",Women,CHN,China,W,Bronze +Beijing,2008,Badminton,Badminton,singles,"LEE, Chong Wei",Men,MAS,Malaysia,M,Silver +Beijing,2008,Badminton,Badminton,doubles,"LEE, Hyojung",Women,KOR,"Korea, South",W,Silver +Beijing,2008,Badminton,Badminton,doubles,"HE, Hanbin",Men,CHN,China,X,Bronze +Beijing,2008,Badminton,Badminton,singles,"XIE, Xingfang",Women,CHN,China,W,Silver +Beijing,2008,Badminton,Badminton,doubles,"WEI, Yili",Women,CHN,China,W,Bronze +Beijing,2008,Badminton,Badminton,singles,"YULIANTI, Maria Kristin",Women,INA,Indonesia,W,Bronze +Beijing,2008,Badminton,Badminton,doubles,"LEE, Jaejin",Men,KOR,"Korea, South",M,Bronze +Beijing,2008,Badminton,Badminton,doubles,"KIDO, Markis",Men,INA,Indonesia,M,Gold +Beijing,2008,Badminton,Badminton,doubles,LILIYANA,Women,INA,Indonesia,X,Silver +Beijing,2008,Badminton,Badminton,doubles,"LEE, Hyojung",Women,KOR,"Korea, South",X,Gold +Beijing,2008,Badminton,Badminton,singles,"LIN, Dan",Men,CHN,China,M,Gold +Beijing,2008,Badminton,Badminton,singles,"CHEN, Jin",Men,CHN,China,M,Bronze +Beijing,2008,Badminton,Badminton,doubles,"CAI, Yun",Men,CHN,China,M,Silver +Beijing,2008,Baseball,Baseball,baseball,"SONG, Seungjun",Men,KOR,"Korea, South",M,Gold +Beijing,2008,Baseball,Baseball,baseball,"LAPORTA, Matt",Men,USA,United States,M,Bronze +Beijing,2008,Baseball,Baseball,baseball,"DUENSING, Brian",Men,USA,United States,M,Bronze +Beijing,2008,Baseball,Baseball,baseball,"LEE, Daeho",Men,KOR,"Korea, South",M,Gold +Beijing,2008,Baseball,Baseball,baseball,"ARRIETA, Jake",Men,USA,United States,M,Bronze +Beijing,2008,Baseball,Baseball,baseball,"MERINO, Rolando",Men,CUB,Cuba,M,Silver +Beijing,2008,Baseball,Baseball,baseball,"ANDERSON, Brett",Men,USA,United States,M,Bronze +Beijing,2008,Baseball,Baseball,baseball,"KANG, Minho",Men,KOR,"Korea, South",M,Gold +Beijing,2008,Baseball,Baseball,baseball,"KIM, Hyunsoo",Men,KOR,"Korea, South",M,Gold +Beijing,2008,Baseball,Baseball,baseball,"OH, Seunghwan",Men,KOR,"Korea, South",M,Gold +Beijing,2008,Baseball,Baseball,baseball,"LEE, Seungyuop",Men,KOR,"Korea, South",M,Gold +Beijing,2008,Baseball,Baseball,baseball,"BONG, Jungkeun",Men,KOR,"Korea, South",M,Gold +Beijing,2008,Baseball,Baseball,baseball,"STEVENS, Jeff",Men,USA,United States,M,Bronze +Beijing,2008,Baseball,Baseball,baseball,"DONALD, Jason",Men,USA,United States,M,Bronze +Beijing,2008,Baseball,Baseball,baseball,"NEAL, Blaine",Men,USA,United States,M,Bronze +Beijing,2008,Baseball,Baseball,baseball,"KNIGHT, Brandon",Men,USA,United States,M,Bronze +Beijing,2008,Baseball,Baseball,baseball,"SANCHEZ, Eriel",Men,CUB,Cuba,M,Silver +Beijing,2008,Baseball,Baseball,baseball,"LEE, Taekkeun",Men,KOR,"Korea, South",M,Gold +Beijing,2008,Baseball,Baseball,baseball,"LEE, Jinyoung",Men,KOR,"Korea, South",M,Gold +Beijing,2008,Baseball,Baseball,baseball,"LEE, Jongwook",Men,KOR,"Korea, South",M,Gold +Beijing,2008,Baseball,Baseball,baseball,"DUVERGEL, Giorbis",Men,CUB,Cuba,M,Silver +Beijing,2008,Baseball,Baseball,baseball,"HESSMAN, Mike",Men,USA,United States,M,Bronze +Beijing,2008,Baseball,Baseball,baseball,"JANG, Wonsam",Men,KOR,"Korea, South",M,Gold +Beijing,2008,Baseball,Baseball,baseball,"ODELIN SANAME, Vicyohandri",Men,CUB,Cuba,M,Silver +Beijing,2008,Baseball,Baseball,baseball,"LEE, Yongkyu",Men,KOR,"Korea, South",M,Gold +Beijing,2008,Baseball,Baseball,baseball,"TEAGARDEN, Taylor",Men,USA,United States,M,Bronze +Beijing,2008,Baseball,Baseball,baseball,"OLIVERA, Hector",Men,CUB,Cuba,M,Silver +Beijing,2008,Baseball,Baseball,baseball,"FOWLER, Dexter",Men,USA,United States,M,Bronze +Beijing,2008,Baseball,Baseball,baseball,"WEATHERS, Casey",Men,USA,United States,M,Bronze +Beijing,2008,Baseball,Baseball,baseball,"KIM, Kwanghyun",Men,KOR,"Korea, South",M,Gold +Beijing,2008,Baseball,Baseball,baseball,"URGELLES, Yoandry",Men,CUB,Cuba,M,Silver +Beijing,2008,Baseball,Baseball,baseball,"LAZO, Pedro Luis",Men,CUB,Cuba,M,Silver +Beijing,2008,Baseball,Baseball,baseball,"GONZALEZ, Norberto",Men,CUB,Cuba,M,Silver +Beijing,2008,Baseball,Baseball,baseball,"NAVAS, Luis",Men,CUB,Cuba,M,Silver +Beijing,2008,Baseball,Baseball,baseball,"KWON, Hyuk",Men,KOR,"Korea, South",M,Gold +Beijing,2008,Baseball,Baseball,baseball,"PEDROSO, Yadier",Men,CUB,Cuba,M,Silver +Beijing,2008,Baseball,Baseball,baseball,"CUMMINGS, Jeremy",Men,USA,United States,M,Bronze +Beijing,2008,Baseball,Baseball,baseball,"GALL, John",Men,USA,United States,M,Bronze +Beijing,2008,Baseball,Baseball,baseball,"DESPAIGNE, Alfredo",Men,CUB,Cuba,M,Silver +Beijing,2008,Baseball,Baseball,baseball,"STRASBURG, Stephen",Men,USA,United States,M,Bronze +Beijing,2008,Baseball,Baseball,baseball,"PESTANO, Ariel",Men,CUB,Cuba,M,Silver +Beijing,2008,Baseball,Baseball,baseball,"TIFFEE, Terry",Men,USA,United States,M,Bronze +Beijing,2008,Baseball,Baseball,baseball,"NIX, Jayson",Men,USA,United States,M,Bronze +Beijing,2008,Baseball,Baseball,baseball,"MARSON, Lou",Men,USA,United States,M,Bronze +Beijing,2008,Baseball,Baseball,baseball,"SANCHEZ, Elier",Men,CUB,Cuba,M,Silver +Beijing,2008,Baseball,Baseball,baseball,"MARTINEZ, Jonder",Men,CUB,Cuba,M,Silver +Beijing,2008,Baseball,Baseball,baseball,"PARK, Jinman",Men,KOR,"Korea, South",M,Gold +Beijing,2008,Baseball,Baseball,baseball,"GOURRIEL, Yuliesky",Men,CUB,Cuba,M,Silver +Beijing,2008,Baseball,Baseball,baseball,"KIM, Minjae",Men,KOR,"Korea, South",M,Gold +Beijing,2008,Baseball,Baseball,baseball,"JEONG, Keunwoo",Men,KOR,"Korea, South",M,Gold +Beijing,2008,Baseball,Baseball,baseball,"JEPSEN, Kevin",Men,USA,United States,M,Bronze +Beijing,2008,Baseball,Baseball,baseball,"ENRIQUEZ, Michel",Men,CUB,Cuba,M,Silver +Beijing,2008,Baseball,Baseball,baseball,"BROWN, Matt",Men,USA,United States,M,Bronze +Beijing,2008,Baseball,Baseball,baseball,"PALMA, Adiel",Men,CUB,Cuba,M,Silver +Beijing,2008,Baseball,Baseball,baseball,"KO, Youngmin",Men,KOR,"Korea, South",M,Gold +Beijing,2008,Baseball,Baseball,baseball,"JIN, Kabyong",Men,KOR,"Korea, South",M,Gold +Beijing,2008,Baseball,Baseball,baseball,"MAYETA, Alexander",Men,CUB,Cuba,M,Silver +Beijing,2008,Baseball,Baseball,baseball,"CHONG, Taehyon",Men,KOR,"Korea, South",M,Gold +Beijing,2008,Baseball,Baseball,baseball,"CAHILL, Trevor",Men,USA,United States,M,Bronze +Beijing,2008,Baseball,Baseball,baseball,"YOON, Suk Min",Men,KOR,"Korea, South",M,Gold +Beijing,2008,Baseball,Baseball,baseball,"BELL, Alexei",Men,CUB,Cuba,M,Silver +Beijing,2008,Baseball,Baseball,baseball,"RYU, Hyunjin",Men,KOR,"Korea, South",M,Gold +Beijing,2008,Baseball,Baseball,baseball,"PARET, Eduardo",Men,CUB,Cuba,M,Silver +Beijing,2008,Baseball,Baseball,baseball,"RODRIGUEZ, Luis",Men,CUB,Cuba,M,Silver +Beijing,2008,Baseball,Baseball,baseball,"SCHIERHOLTZ, Nate",Men,USA,United States,M,Bronze +Beijing,2008,Baseball,Baseball,baseball,"KIM, Dongjoo",Men,KOR,"Korea, South",M,Gold +Beijing,2008,Baseball,Baseball,baseball,"HAN, Kijoo",Men,KOR,"Korea, South",M,Gold +Beijing,2008,Baseball,Baseball,baseball,"VERA, Norge Luis",Men,CUB,Cuba,M,Silver +Beijing,2008,Baseball,Baseball,baseball,"BARDEN, Brian",Men,USA,United States,M,Bronze +Beijing,2008,Baseball,Baseball,baseball,"KOPLOVE, Michael",Men,USA,United States,M,Bronze +Beijing,2008,Baseball,Baseball,baseball,"LA HERA, Miguel",Men,CUB,Cuba,M,Silver +Beijing,2008,Baseball,Baseball,baseball,"CEPEDA, Frederich",Men,CUB,Cuba,M,Silver +Beijing,2008,Basketball,Basketball,basketball,"RUBIO, Ricky",Men,ESP,Spain,M,Silver +Beijing,2008,Basketball,Basketball,basketball,"BOSH, Chris",Men,USA,United States,M,Gold +Beijing,2008,Basketball,Basketball,basketball,"LISINA, Ekaterina",Women,RUS,Russia,W,Bronze +Beijing,2008,Basketball,Basketball,basketball,"KARPUNINA, Marina",Women,RUS,Russia,W,Bronze +Beijing,2008,Basketball,Basketball,basketball,"LOPEZ, Raul",Men,ESP,Spain,M,Silver +Beijing,2008,Basketball,Basketball,basketball,"PHILLIPS, Erin",Women,AUS,Australia,W,Silver +Beijing,2008,Basketball,Basketball,basketball,"HOWARD, Dwight",Men,USA,United States,M,Gold +Beijing,2008,Basketball,Basketball,basketball,"GUTIERREZ, Leonardo Martin",Men,ARG,Argentina,M,Bronze +Beijing,2008,Basketball,Basketball,basketball,"PRINCE, Tayshaun",Men,USA,United States,M,Gold +Beijing,2008,Basketball,Basketball,basketball,"GRIMA, Hollie",Women,AUS,Australia,W,Silver +Beijing,2008,Basketball,Basketball,basketball,"LESLIE, Lisa",Women,USA,United States,W,Gold +Beijing,2008,Basketball,Basketball,basketball,"BEVILAQUA, Tully",Women,AUS,Australia,W,Silver +Beijing,2008,Basketball,Basketball,basketball,"ANTHONY, Carmelo",Men,USA,United States,M,Gold +Beijing,2008,Basketball,Basketball,basketball,"CATCHINGS, Tamika",Women,USA,United States,W,Gold +Beijing,2008,Basketball,Basketball,basketball,"OSIPOVA, Irina",Women,RUS,Russia,W,Bronze +Beijing,2008,Basketball,Basketball,basketball,"BATKOVIC, Suzy",Women,AUS,Australia,W,Silver +Beijing,2008,Basketball,Basketball,basketball,"RODRIGUEZ, Berni",Men,ESP,Spain,M,Silver +Beijing,2008,Basketball,Basketball,basketball,"COX, Rohanee",Women,AUS,Australia,W,Silver +Beijing,2008,Basketball,Basketball,basketball,"HAMMON, Rebekka Linn",Women,RUS,Russia,W,Bronze +Beijing,2008,Basketball,Basketball,basketball,"ABROSIMOVA, Svetlana",Women,RUS,Russia,W,Bronze +Beijing,2008,Basketball,Basketball,basketball,"KUZINA, Marina",Women,RUS,Russia,W,Bronze +Beijing,2008,Basketball,Basketball,basketball,"BOOZER, Carlos",Men,USA,United States,M,Gold +Beijing,2008,Basketball,Basketball,basketball,"CALDERON, Jose Manuel",Men,ESP,Spain,M,Silver +Beijing,2008,Basketball,Basketball,basketball,"JACKSON, Lauren",Women,AUS,Australia,W,Silver +Beijing,2008,Basketball,Basketball,basketball,"SCOLA, Luis Alberto",Men,ARG,Argentina,M,Bronze +Beijing,2008,Basketball,Basketball,basketball,"KAMMERICHS, Guillermo Federico",Men,ARG,Argentina,M,Bronze +Beijing,2008,Basketball,Basketball,basketball,"KIDD, Jason",Men,USA,United States,M,Gold +Beijing,2008,Basketball,Basketball,basketball,"AUGUSTUS, Seimone",Women,USA,United States,W,Gold +Beijing,2008,Basketball,Basketball,basketball,"SUMMERTON, Laura",Women,AUS,Australia,W,Silver +Beijing,2008,Basketball,Basketball,basketball,"OBERTO, Fabricio Raul Jesus",Men,ARG,Argentina,M,Bronze +Beijing,2008,Basketball,Basketball,basketball,"LAWSON, Kara",Women,USA,United States,W,Gold +Beijing,2008,Basketball,Basketball,basketball,"HARROWER, Kristi",Women,AUS,Australia,W,Silver +Beijing,2008,Basketball,Basketball,basketball,"DELFINO, Carlos Francisco",Men,ARG,Argentina,M,Bronze +Beijing,2008,Basketball,Basketball,basketball,"GUTIERREZ LLANAS, Juan Pedro",Men,ARG,Argentina,M,Bronze +Beijing,2008,Basketball,Basketball,basketball,"STEPANOVA, Maria",Women,RUS,Russia,W,Bronze +Beijing,2008,Basketball,Basketball,basketball,"RANDALL, Emma",Women,AUS,Australia,W,Silver +Beijing,2008,Basketball,Basketball,basketball,"JAMES, Lebron",Men,USA,United States,M,Gold +Beijing,2008,Basketball,Basketball,basketball,"MILTON-JONES, Delisha",Women,USA,United States,W,Gold +Beijing,2008,Basketball,Basketball,basketball,"WADE, Dwyane",Men,USA,United States,M,Gold +Beijing,2008,Basketball,Basketball,basketball,"SMITH, Katie",Women,USA,United States,W,Gold +Beijing,2008,Basketball,Basketball,basketball,"SCREEN, Jenni",Women,AUS,Australia,W,Silver +Beijing,2008,Basketball,Basketball,basketball,"PORTA PERNIGOTTI, Antonio Alejandro",Men,ARG,Argentina,M,Bronze +Beijing,2008,Basketball,Basketball,basketball,"PRIGIONI, Pablo",Men,ARG,Argentina,M,Bronze +Beijing,2008,Basketball,Basketball,basketball,"VODOPYANOVA, Natalia",Women,RUS,Russia,W,Bronze +Beijing,2008,Basketball,Basketball,basketball,"PAUL, Chris",Men,USA,United States,M,Gold +Beijing,2008,Basketball,Basketball,basketball,"GINOBILI, Emanuel David",Men,ARG,Argentina,M,Bronze +Beijing,2008,Basketball,Basketball,basketball,"SHCHEGOLEVA, Tatiana",Women,RUS,Russia,W,Bronze +Beijing,2008,Basketball,Basketball,basketball,"GASOL, Pau",Men,ESP,Spain,M,Silver +Beijing,2008,Basketball,Basketball,basketball,"REYES, Felipe",Men,ESP,Spain,M,Silver +Beijing,2008,Basketball,Basketball,basketball,"GASOL, Marc",Men,ESP,Spain,M,Silver +Beijing,2008,Basketball,Basketball,basketball,"JIMENEZ, Carlos",Men,ESP,Spain,M,Silver +Beijing,2008,Basketball,Basketball,basketball,"TAYLOR, Penny",Women,AUS,Australia,W,Silver +Beijing,2008,Basketball,Basketball,basketball,"GONZALEZ, Roman Javier",Men,ARG,Argentina,M,Bronze +Beijing,2008,Basketball,Basketball,basketball,"THOMPSON, Tina",Women,USA,United States,W,Gold +Beijing,2008,Basketball,Basketball,basketball,"MUMBRU, Alex",Men,ESP,Spain,M,Silver +Beijing,2008,Basketball,Basketball,basketball,"GARBAJOSA, Jorge",Men,ESP,Spain,M,Silver +Beijing,2008,Basketball,Basketball,basketball,"FOWLES, Sylvia",Women,USA,United States,W,Gold +Beijing,2008,Basketball,Basketball,basketball,"PARKER, Candace",Women,USA,United States,W,Gold +Beijing,2008,Basketball,Basketball,basketball,"QUINTEROS, Alfredo Paolo",Men,ARG,Argentina,M,Bronze +Beijing,2008,Basketball,Basketball,basketball,"BRYANT, Kobe",Men,USA,United States,M,Gold +Beijing,2008,Basketball,Basketball,basketball,"PONDEXTER, Cappie",Women,USA,United States,W,Gold +Beijing,2008,Basketball,Basketball,basketball,"FERNANDEZ, Rudy",Men,ESP,Spain,M,Silver +Beijing,2008,Basketball,Basketball,basketball,"SOKOLOVSKAYA, Irina",Women,RUS,Russia,W,Bronze +Beijing,2008,Basketball,Basketball,basketball,"KORSTIN, Ilona",Women,RUS,Russia,W,Bronze +Beijing,2008,Basketball,Basketball,basketball,"RAKHMATULINA, Oxana",Women,RUS,Russia,W,Bronze +Beijing,2008,Basketball,Basketball,basketball,"NAVARRO, Juan Carlos",Men,ESP,Spain,M,Silver +Beijing,2008,Basketball,Basketball,basketball,"REDD, Michael",Men,USA,United States,M,Gold +Beijing,2008,Basketball,Basketball,basketball,"NOCIONI, Andres Marcelo",Men,ARG,Argentina,M,Bronze +Beijing,2008,Basketball,Basketball,basketball,"SNELL, Belinda",Women,AUS,Australia,W,Silver +Beijing,2008,Basketball,Basketball,basketball,"BIRD, Sue",Women,USA,United States,W,Gold +Beijing,2008,Basketball,Basketball,basketball,"WILLIAMS, Deron",Men,USA,United States,M,Gold +Beijing,2008,Basketball,Basketball,basketball,"TAURASI, Diana",Women,USA,United States,W,Gold +Beijing,2008,Boxing,Boxing,64 - 69 kg,"HANATI, Silamu",Men,CHN,China,M,Bronze +Beijing,2008,Boxing,Boxing,+ 91kg (super heavyweight),"CAMMARELLE, Roberto",Men,ITA,Italy,M,Gold +Beijing,2008,Boxing,Boxing,54 - 57kg (featherweight),"KILIC, Yakup",Men,TUR,Turkey,M,Bronze +Beijing,2008,Boxing,Boxing,57 - 60kg (lightweight),"SOW, Daouda",Men,FRA,France,M,Silver +Beijing,2008,Boxing,Boxing,75 - 81kg (light-heavyweight),"EGAN, Kenny",Men,IRL,Ireland,M,Silver +Beijing,2008,Boxing,Boxing,57 - 60kg (lightweight),"UGAS, Yordenis",Men,CUB,Cuba,M,Bronze +Beijing,2008,Boxing,Boxing,60 - 64 kg,"DIAZ, Felix",Men,DOM,Dominican Republic,M,Gold +Beijing,2008,Boxing,Boxing,60 - 64 kg,"VASTINE, Alexis",Men,FRA,France,M,Bronze +Beijing,2008,Boxing,Boxing,48kg (light flywieght),"PUREVDORJ, Serdamba",Men,MGL,Mongolia,M,Silver +Beijing,2008,Boxing,Boxing,51 - 54kg (bantamweight),"LEON ALARCON, Yankiel",Men,CUB,Cuba,M,Silver +Beijing,2008,Boxing,Boxing,48 - 51kg (flyweight),"PICARDI, Vincenzo",Men,ITA,Italy,M,Bronze +Beijing,2008,Boxing,Boxing,75 - 81kg (light-heavyweight),"SHYNALIYEV, Yerkebulan",Men,KAZ,Kazakhstan,M,Bronze +Beijing,2008,Boxing,Boxing,64 - 69 kg,"SARSEKBAYEV, Bakhyt",Men,KAZ,Kazakhstan,M,Gold +Beijing,2008,Boxing,Boxing,60 - 64 kg,"IGLESIAS SOTOLONGO, Roniel",Men,CUB,Cuba,M,Bronze +Beijing,2008,Boxing,Boxing,69 - 75 kg,"CORREA BAYEAUX, Emilio",Men,CUB,Cuba,M,Silver +Beijing,2008,Boxing,Boxing,54 - 57kg (featherweight),"LOMACHENKO, Vasyl",Men,UKR,Ukraine,M,Gold +Beijing,2008,Boxing,Boxing,54 - 57kg (featherweight),"DJELKHIR, Khedafi",Men,FRA,France,M,Silver +Beijing,2008,Boxing,Boxing,64 - 69 kg,"KIM, Jungjoo",Men,KOR,"Korea, South",M,Bronze +Beijing,2008,Boxing,Boxing,69 - 75 kg,"KUMAR, Vijender",Men,IND,India,M,Bronze +Beijing,2008,Boxing,Boxing,48kg (light flywieght),"BARNES, Paddy",Men,IRL,Ireland,M,Bronze +Beijing,2008,Boxing,Boxing,48 - 51kg (flyweight),"JONGJOHOR, Somjit",Men,THA,Thailand,M,Gold +Beijing,2008,Boxing,Boxing,48kg (light flywieght),"HERNANDEZ G, Yampier",Men,CUB,Cuba,M,Bronze +Beijing,2008,Boxing,Boxing,75 - 81kg (light-heavyweight),"ZHANG, Xiaoping",Men,CHN,China,M,Gold +Beijing,2008,Boxing,Boxing,57 - 60kg (lightweight),"TISHCHENKO, Alexey",Men,RUS,Russia,M,Gold +Beijing,2008,Boxing,Boxing,+ 91kg (super heavyweight),"ZHANG, Zhilei",Men,CHN,China,M,Silver +Beijing,2008,Boxing,Boxing,81 - 91kg (heavyweight),"ACOSTA DUARTE, Osmai",Men,CUB,Cuba,M,Bronze +Beijing,2008,Boxing,Boxing,64 - 69 kg,"BANTEAUX SUAREZ, Carlos",Men,CUB,Cuba,M,Silver +Beijing,2008,Boxing,Boxing,+ 91kg (super heavyweight),"GLAZKOV, Vyacheslav",Men,UKR,Ukraine,M,Bronze +Beijing,2008,Boxing,Boxing,51 - 54kg (bantamweight),"ENKHBAT, Badar-Uugan",Men,MGL,Mongolia,M,Gold +Beijing,2008,Boxing,Boxing,81 - 91kg (heavyweight),"CHAKHKIEV, Rakhim",Men,RUS,Russia,M,Gold +Beijing,2008,Boxing,Boxing,48kg (light flywieght),"ZOU, Shiming",Men,CHN,China,M,Gold +Beijing,2008,Boxing,Boxing,+ 91kg (super heavyweight),"PRICE, David",Men,GBR,United Kingdom,M,Bronze +Beijing,2008,Boxing,Boxing,54 - 57kg (featherweight),"IMRANOV, Shahin",Men,AZE,Azerbaijan,M,Bronze +Beijing,2008,Boxing,Boxing,81 - 91kg (heavyweight),"RUSSO, Clemente",Men,ITA,Italy,M,Silver +Beijing,2008,Boxing,Boxing,60 - 64 kg,"BOONJUMNONG, Manus",Men,THA,Thailand,M,Silver +Beijing,2008,Boxing,Boxing,48 - 51kg (flyweight),"BALAKSHIN, Georgy",Men,RUS,Russia,M,Bronze +Beijing,2008,Boxing,Boxing,51 - 54kg (bantamweight),"GOJAN, Veaceslav",Men,MDA,Moldova,M,Bronze +Beijing,2008,Boxing,Boxing,81 - 91kg (heavyweight),"WILDER, Deontay",Men,USA,United States,M,Bronze +Beijing,2008,Boxing,Boxing,51 - 54kg (bantamweight),"JULIE, Bruno",Men,MRI,Mauritius,M,Bronze +Beijing,2008,Boxing,Boxing,69 - 75 kg,"SUTHERLAND, Darren John",Men,IRL,Ireland,M,Bronze +Beijing,2008,Boxing,Boxing,69 - 75 kg,"DEGALE, James",Men,GBR,United Kingdom,M,Gold +Beijing,2008,Boxing,Boxing,75 - 81kg (light-heavyweight),"JEFFRIES, Tony",Men,GBR,United Kingdom,M,Bronze +Beijing,2008,Boxing,Boxing,57 - 60kg (lightweight),"JAVAKHYAN, Hrachik",Men,ARM,Armenia,M,Bronze +Beijing,2008,Boxing,Boxing,48 - 51kg (flyweight),"LAFFITA HERNANDEZ, Andris",Men,CUB,Cuba,M,Silver +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"OSYPENKO-RADOMSKA, Inna",Women,UKR,Ukraine,W,Gold +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"WAGNER-AUGUSTIN, Katrin",Women,GER,Germany,W,Gold +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"FACCHIN, Andrea",Men,ITA,Italy,M,Bronze +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"WIESKOTTER, Tim",Men,GER,Germany,M,Silver +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"PEREZ, Carlos",Men,ESP,Spain,M,Gold +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,C-1 1000m (canoe single),"HALL, Thomas",Men,CAN,Canada,M,Bronze +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"MENG, Guanliang",Men,CHN,China,M,Gold +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"DELATTRE, Marie",Women,FRA,France,W,Bronze +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"ECKBRETT, Torsten",Men,GER,Germany,M,Bronze +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,C-1 1000m (canoe single),"VAJDA, Attila Sandor",Men,HUN,Hungary,M,Gold +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"MAKHNEU, Vadzim",Men,BLR,Belarus,M,Gold +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"RAUHE, Ronald",Men,GER,Germany,M,Silver +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"YANG, Wenjun",Men,CHN,China,M,Gold +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"GILLE, Christian",Men,GER,Germany,M,Bronze +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"KNUDSEN, Kim Wraae",Men,DEN,Denmark,M,Silver +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"ABALMASAU, Aliaksei",Men,BLR,Belarus,M,Gold +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"WALLACE, Ken",Men,AUS,Australia,M,Gold +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"ULEGIN, Sergey",Men,RUS,Russia,M,Silver +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"BAHDANOVICH, Andrei",Men,BLR,Belarus,M,Gold +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"LITVINCHUK, Artur",Men,BLR,Belarus,M,Gold +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"GILLE, Christian",Men,GER,Germany,M,Silver +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,C-1 500m (canoe single),"OPALEV, Maxim",Men,RUS,Russia,M,Gold +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"SZABO, Gabriella Timea",Women,HUN,Hungary,W,Silver +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,K-1 1000m (kayak single),"WALLACE, Ken",Men,AUS,Australia,M,Bronze +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"RISZDORFER, Michal",Men,SVK,Slovakia,M,Silver +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"SCADUTO, Antonio Massimiliano",Men,ITA,Italy,M,Bronze +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"FISCHER, Fanny",Women,GER,Germany,W,Gold +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"KONIECZNA, Aneta",Women,POL,Poland,W,Silver +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"IHLE, Andreas",Men,GER,Germany,M,Gold +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"OLDENHOF, Lisa",Women,AUS,Australia,W,Bronze +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"IDEM, Josefa",Women,ITA,Italy,W,Silver +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"JANIC, Natasa",Women,HUN,Hungary,W,Silver +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"MEEK, Chantal",Women,AUS,Australia,W,Bronze +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"DAVIS, Hannah",Women,AUS,Australia,W,Bronze +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"KOSTOGLOD, Alexander",Men,RUS,Russia,M,Silver +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"HOLLSTEIN, Martin",Men,GER,Germany,M,Gold +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"VIARD, Anne-Laure",Women,FRA,France,W,Bronze +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"KOVACS, Katalin",Women,HUN,Hungary,W,Silver +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"KOVACS, Katalin",Women,HUN,Hungary,W,Gold +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"GOLDSCHMIDT, Bjorn",Men,GER,Germany,M,Bronze +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,K-1 1000m (kayak single),"LARSEN, Eirik Veraas",Men,NOR,Norway,M,Silver +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"JANIC, Natasa",Women,HUN,Hungary,W,Gold +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"REINHARDT, Nicole",Women,GER,Germany,W,Gold +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"MIKOLAJCZYK, Beata",Women,POL,Poland,W,Silver +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,C-1 500m (canoe single),"CAL, David",Men,ESP,Spain,M,Silver +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,K-2 1000m (kayak double),"POULSEN, Rene Holten",Men,DEN,Denmark,M,Silver +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,C-1 1000m (canoe single),"CAL, David",Men,ESP,Spain,M,Silver +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,C-2 500m (canoe double),"WYLENZEK, Thomasz",Men,GER,Germany,M,Bronze +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"BROCKL, Norman",Men,GER,Germany,M,Bronze +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"CRAVIOTTO, Saul",Men,ESP,Spain,M,Gold +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"VAN KOEVERDEN, Adam",Men,CAN,Canada,M,Silver +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"KOZAK, Danuta",Women,HUN,Hungary,W,Silver +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"PIATRUSHENKA, Raman",Men,BLR,Belarus,M,Bronze +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"WAGNER-AUGUSTIN, Katrin",Women,GER,Germany,W,Bronze +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,C-1 500m (canoe single),"CHEBAN, Iurii",Men,UKR,Ukraine,M,Bronze +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"WASSMUTH, Conny",Women,GER,Germany,W,Gold +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"TARR, Juraj",Men,SVK,Slovakia,M,Silver +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,K-4 500m (kayak four),"FOGARTY, Lyndsie",Women,AUS,Australia,W,Bronze +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"PIATRUSHENKA, Raman",Men,BLR,Belarus,M,Gold +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"RISZDORFER, Richard",Men,SVK,Slovakia,M,Silver +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"KISS, Tamas",Men,HUN,Hungary,M,Bronze +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"WYLENZEK, Thomasz",Men,GER,Germany,M,Silver +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"ALTEPOST, Lutz",Men,GER,Germany,M,Bronze +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,K-1 500m (kayak single),"BRABANTS, Tim",Men,GBR,United Kingdom,M,Bronze +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"BAHDANOVICH, Aliaksandr",Men,BLR,Belarus,M,Gold +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,C-2 1000m (canoe double),"KOZMANN, Gyorgy",Men,HUN,Hungary,M,Bronze +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,K-2 500m (kayak double),"MAKHNEU, Vadzim",Men,BLR,Belarus,M,Bronze +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,K-1 1000m (kayak single),"BRABANTS, Tim",Men,GBR,United Kingdom,M,Gold +Beijing,2008,Canoe / Kayak,Canoe / Kayak F,K-4 1000m (kayak four),"VLCEK, Erik",Men,SVK,Slovakia,M,Silver +Beijing,2008,Canoe / Kayak,Canoe / Kayak S,C-2 (canoe double),"HOCHSCHORNER, Pavol",Men,SVK,Slovakia,M,Gold +Beijing,2008,Canoe / Kayak,Canoe / Kayak S,C-2 (canoe double),"LARIONOV, Dmitry",Men,RUS,Russia,M,Bronze +Beijing,2008,Canoe / Kayak,Canoe / Kayak S,K-1 (kayak single),"LEFEVRE, Fabien",Men,FRA,France,M,Silver +Beijing,2008,Canoe / Kayak,Canoe / Kayak S,C-2 (canoe double),"KUZNETSOV, Mikhail",Men,RUS,Russia,M,Bronze +Beijing,2008,Canoe / Kayak,Canoe / Kayak S,C-2 (canoe double),"VOLF, Jaroslav",Men,CZE,Czech Republic,M,Silver +Beijing,2008,Canoe / Kayak,Canoe / Kayak S,K-1 (kayak single),"KALISKA, Elena",Women,SVK,Slovakia,W,Gold +Beijing,2008,Canoe / Kayak,Canoe / Kayak S,C-2 (canoe double),"HOCHSCHORNER, Peter",Men,SVK,Slovakia,M,Gold +Beijing,2008,Canoe / Kayak,Canoe / Kayak S,K-1 (kayak single),"BOUKPETI, Benjamin",Men,TOG,Togo,M,Bronze +Beijing,2008,Canoe / Kayak,Canoe / Kayak S,C-1 (canoe single),"BELL, Robin",Men,AUS,Australia,M,Bronze +Beijing,2008,Canoe / Kayak,Canoe / Kayak S,C-1 (canoe single),"FLORENCE, David",Men,GBR,United Kingdom,M,Silver +Beijing,2008,Canoe / Kayak,Canoe / Kayak S,K-1 (kayak single),"GRIMM, Alexander",Men,GER,Germany,M,Gold +Beijing,2008,Canoe / Kayak,Canoe / Kayak S,K-1 (kayak single),"OBLINGER PETERS, Violetta",Women,AUT,Austria,W,Bronze +Beijing,2008,Canoe / Kayak,Canoe / Kayak S,K-1 (kayak single),"LAWRENCE, Jacqueline",Women,AUS,Australia,W,Silver +Beijing,2008,Canoe / Kayak,Canoe / Kayak S,C-2 (canoe double),"STEPANEK, Ondrej",Men,CZE,Czech Republic,M,Silver +Beijing,2008,Canoe / Kayak,Canoe / Kayak S,C-1 (canoe single),"MARTIKAN, Michal",Men,SVK,Slovakia,M,Gold +Beijing,2008,Cycling,BMX,individual,"KINTNER, Jill",Women,USA,United States,W,Bronze +Beijing,2008,Cycling,BMX,individual,"LE CORGUILLE, Laetitia",Women,FRA,France,W,Silver +Beijing,2008,Cycling,BMX,individual,"CHAUSSON, Anne-Caroline",Women,FRA,France,W,Gold +Beijing,2008,Cycling,BMX,Individual,"ROBINSON, Donny",Men,USA,United States,M,Bronze +Beijing,2008,Cycling,BMX,Individual,"DAY, Mike",Men,USA,United States,M,Silver +Beijing,2008,Cycling,BMX,Individual,"STROMBERGS, Maris",Men,LAT,Latvia,M,Gold +Beijing,2008,Cycling,Cycling Road,individual road race,"SANCHEZ, Samuel",Men,ESP,Spain,M,Gold +Beijing,2008,Cycling,Cycling Road,individual time trial,"POOLEY, Emma",Women,GBR,United Kingdom,W,Silver +Beijing,2008,Cycling,Cycling Road,individual road race,"COOKE, Nicole",Women,GBR,United Kingdom,W,Gold +Beijing,2008,Cycling,Cycling Road,individual time trial,"CANCELLARA, Fabian",Men,SUI,Switzerland,M,Gold +Beijing,2008,Cycling,Cycling Road,individual time trial,"LEIPHEIMER, Levi",Men,USA,United States,M,Bronze +Beijing,2008,Cycling,Cycling Road,individual time trial,"THURIG, Karin",Women,SUI,Switzerland,W,Bronze +Beijing,2008,Cycling,Cycling Road,individual road race,"GUDERZO, Tatiana",Women,ITA,Italy,W,Bronze +Beijing,2008,Cycling,Cycling Road,individual road race,"JOHANSSON, Emma",Women,SWE,Sweden,W,Silver +Beijing,2008,Cycling,Cycling Road,individual time trial,"ARMSTRONG, Kristin",Women,USA,United States,W,Gold +Beijing,2008,Cycling,Cycling Road,individual road race,"CANCELLARA, Fabian",Men,SUI,Switzerland,M,Bronze +Beijing,2008,Cycling,Cycling Road,individual time trial,"LARSSON, Gustav",Men,SWE,Sweden,M,Silver +Beijing,2008,Cycling,Cycling Track,Team Sprint,"KENNY, Jason",Men,GBR,United Kingdom,M,Gold +Beijing,2008,Cycling,Cycling Track,Team Sprint,"LEVY, Maximilian",Men,GER,Germany,M,Bronze +Beijing,2008,Cycling,Cycling Track,individual pursuit,"KALITOVSKA, Lesya",Women,UKR,Ukraine,W,Bronze +Beijing,2008,Cycling,Cycling Track,Team Pursuit (4000m),"JOERGENSEN, Casper",Men,DEN,Denmark,M,Silver +Beijing,2008,Cycling,Cycling Track,sprint,"GUO, Shuang",Women,CHN,China,W,Bronze +Beijing,2008,Cycling,Cycling Track,Team Pursuit (4000m),"BEWLEY, Sam",Men,NZL,New Zealand,M,Bronze +Beijing,2008,Cycling,Cycling Track,Keirin,"EDGAR, Ross",Men,GBR,United Kingdom,M,Silver +Beijing,2008,Cycling,Cycling Track,Keirin,"HOY, Chris",Men,GBR,United Kingdom,M,Gold +Beijing,2008,Cycling,Cycling Track,Team Pursuit (4000m),"RYAN, Marc",Men,NZL,New Zealand,M,Bronze +Beijing,2008,Cycling,Cycling Track,Team Pursuit (4000m),"RASMUSSEN, Alex Nicki",Men,DEN,Denmark,M,Silver +Beijing,2008,Cycling,Cycling Track,Team Sprint,"SIREAU, Kevin",Men,FRA,France,M,Silver +Beijing,2008,Cycling,Cycling Track,Madison,"CURUCHET, Juan Esteban",Men,ARG,Argentina,M,Gold +Beijing,2008,Cycling,Cycling Track,Madison,"IGNATYEV, Mikhail",Men,RUS,Russia,M,Bronze +Beijing,2008,Cycling,Cycling Track,sprint,"MEARES, Anna",Women,AUS,Australia,W,Silver +Beijing,2008,Cycling,Cycling Track,Team Pursuit (4000m),"CLANCY, Ed",Men,GBR,United Kingdom,M,Gold +Beijing,2008,Cycling,Cycling Track,Sprint indivual,"BOURGAIN, Mickael",Men,FRA,France,M,Bronze +Beijing,2008,Cycling,Cycling Track,Team Pursuit (4000m),"THOMAS, Geraint",Men,GBR,United Kingdom,M,Gold +Beijing,2008,Cycling,Cycling Track,Team Sprint,"NIMKE, Stefan",Men,GER,Germany,M,Bronze +Beijing,2008,Cycling,Cycling Track,Team Pursuit (4000m),"SERGENT, Jesse",Men,NZL,New Zealand,M,Bronze +Beijing,2008,Cycling,Cycling Track,points race,"OLABERRIA, Leire",Women,ESP,Spain,W,Bronze +Beijing,2008,Cycling,Cycling Track,points race,"VOS, Marianne",Women,NED,Netherlands,W,Gold +Beijing,2008,Cycling,Cycling Track,sprint,"PENDLETON, Victoria",Women,GBR,United Kingdom,W,Gold +Beijing,2008,Cycling,Cycling Track,Team Sprint,"STAFF, Jamie",Men,GBR,United Kingdom,M,Gold +Beijing,2008,Cycling,Cycling Track,individual pursuit,"HOUVENAGHEL, Wendy",Women,GBR,United Kingdom,W,Silver +Beijing,2008,Cycling,Cycling Track,Madison,"LLANERAS, Joan",Men,ESP,Spain,M,Silver +Beijing,2008,Cycling,Cycling Track,Sprint indivual,"HOY, Chris",Men,GBR,United Kingdom,M,Gold +Beijing,2008,Cycling,Cycling Track,Madison,"TAULER, Antonio",Men,ESP,Spain,M,Silver +Beijing,2008,Cycling,Cycling Track,Team Pursuit (4000m),"MANNING, Paul",Men,GBR,United Kingdom,M,Gold +Beijing,2008,Cycling,Cycling Track,Team Sprint,"TOURNANT, Arnaud",Men,FRA,France,M,Silver +Beijing,2008,Cycling,Cycling Track,Individual Pursuit,"WIGGINS, Bradley",Men,GBR,United Kingdom,M,Gold +Beijing,2008,Cycling,Cycling Track,Points Race,"NEWTON, Chris",Men,GBR,United Kingdom,M,Bronze +Beijing,2008,Cycling,Cycling Track,Sprint indivual,"KENNY, Jason",Men,GBR,United Kingdom,M,Silver +Beijing,2008,Cycling,Cycling Track,individual pursuit,"ROMERO, Rebecca",Women,GBR,United Kingdom,W,Gold +Beijing,2008,Cycling,Cycling Track,Individual Pursuit,"ROULSTON, Hayden",Men,NZL,New Zealand,M,Silver +Beijing,2008,Cycling,Cycling Track,Points Race,"LLANERAS, Joan",Men,ESP,Spain,M,Gold +Beijing,2008,Cycling,Cycling Track,Team Pursuit (4000m),"MOERKOEV, Michael",Men,DEN,Denmark,M,Silver +Beijing,2008,Cycling,Cycling Track,points race,"GONZALEZ, Yoanka",Women,CUB,Cuba,W,Silver +Beijing,2008,Cycling,Cycling Track,Team Sprint,"BAUGE, Gregory",Men,FRA,France,M,Silver +Beijing,2008,Cycling,Cycling Track,Team Pursuit (4000m),"MADSEN, Jens-Erik",Men,DEN,Denmark,M,Silver +Beijing,2008,Cycling,Cycling Track,Team Pursuit (4000m),"WIGGINS, Bradley",Men,GBR,United Kingdom,M,Gold +Beijing,2008,Cycling,Cycling Track,Team Sprint,"ENDERS, Rene",Men,GER,Germany,M,Bronze +Beijing,2008,Cycling,Cycling Track,Madison,"MARKOV, Alexei",Men,RUS,Russia,M,Bronze +Beijing,2008,Cycling,Cycling Track,Keirin,"NAGAI, Kiyofumi",Men,JPN,Japan,M,Bronze +Beijing,2008,Cycling,Cycling Track,Individual Pursuit,"BURKE, Steven",Men,GBR,United Kingdom,M,Bronze +Beijing,2008,Cycling,Cycling Track,Team Sprint,"HOY, Chris",Men,GBR,United Kingdom,M,Gold +Beijing,2008,Cycling,Cycling Track,Madison,"PEREZ, Walter Fernando",Men,ARG,Argentina,M,Gold +Beijing,2008,Cycling,Cycling Track,Team Pursuit (4000m),"ROULSTON, Hayden",Men,NZL,New Zealand,M,Bronze +Beijing,2008,Cycling,Cycling Track,Points Race,"KLUGE, Roger",Men,GER,Germany,M,Silver +Beijing,2008,Cycling,Mountain Bike,cross-country,"ABSALON, Julien",Men,FRA,France,M,Gold +Beijing,2008,Cycling,Mountain Bike,cross-country,"PERAUD, Jean-Christophe",Men,FRA,France,M,Silver +Beijing,2008,Cycling,Mountain Bike,cross-country,"SPITZ, Sabine",Women,GER,Germany,W,Gold +Beijing,2008,Cycling,Mountain Bike,cross-country,"KALENTYEVA, Irina",Women,RUS,Russia,W,Bronze +Beijing,2008,Cycling,Mountain Bike,cross-country,"WLOSZCZOWSKA, Maja",Women,POL,Poland,W,Silver +Beijing,2008,Cycling,Mountain Bike,cross-country,"SCHURTER, Nino",Men,SUI,Switzerland,M,Bronze +Beijing,2008,Equestrian,Dressage,team,"KEMMER, Heike",Women,GER,Germany,X,Gold +Beijing,2008,Equestrian,Dressage,team,"WERTH, Isabell",Women,GER,Germany,X,Gold +Beijing,2008,Equestrian,Dressage,team,"VAN GRUNSVEN, Anky",Women,NED,Netherlands,X,Silver +Beijing,2008,Equestrian,Dressage,team,"VAN OLST, Anne",Women,DEN,Denmark,X,Bronze +Beijing,2008,Equestrian,Dressage,team,"HELGSTRAND, Andreas",Men,DEN,Denmark,X,Bronze +Beijing,2008,Equestrian,Dressage,individual,"KEMMER, Heike",Women,GER,Germany,X,Bronze +Beijing,2008,Equestrian,Dressage,team,"SCHELLEKENS-BARTELS, Imke",Women,NED,Netherlands,X,Silver +Beijing,2008,Equestrian,Dressage,team,"ZU-SAYN WITTGENSTEIN, Nathalie",Women,DEN,Denmark,X,Bronze +Beijing,2008,Equestrian,Dressage,individual,"WERTH, Isabell",Women,GER,Germany,X,Silver +Beijing,2008,Equestrian,Dressage,team,"CAPELLMANN, Nadine",Women,GER,Germany,X,Gold +Beijing,2008,Equestrian,Dressage,individual,"VAN GRUNSVEN, Anky",Women,NED,Netherlands,X,Gold +Beijing,2008,Equestrian,Dressage,team,"MINDERHOUD, Hans Peter",Men,NED,Netherlands,X,Silver +Beijing,2008,Equestrian,Eventing,team,"JONES, Megan",Women,AUS,Australia,X,Silver +Beijing,2008,Equestrian,Eventing,individual,"COOK, Kristina",Women,GBR,United Kingdom,X,Bronze +Beijing,2008,Equestrian,Eventing,team,"FREDERICKS, Lucinda",Women,AUS,Australia,X,Silver +Beijing,2008,Equestrian,Eventing,team,"OSTHOLT, Frank",Men,GER,Germany,X,Gold +Beijing,2008,Equestrian,Eventing,team,"FREDERICKS, Clayton",Men,AUS,Australia,X,Silver +Beijing,2008,Equestrian,Eventing,team,"JOHNSON, Sonja",Women,AUS,Australia,X,Silver +Beijing,2008,Equestrian,Eventing,team,"THOMSEN, Peter",Men,GER,Germany,X,Gold +Beijing,2008,Equestrian,Eventing,team,"DIBOWSKI, Andreas",Men,GER,Germany,X,Gold +Beijing,2008,Equestrian,Eventing,individual,"MILES, Gina",Women,USA,United States,X,Silver +Beijing,2008,Equestrian,Eventing,individual,"ROMEIKE, Hinrich",Men,GER,Germany,X,Gold +Beijing,2008,Equestrian,Eventing,team,"HUNT, Sharon",Women,GBR,United Kingdom,X,Bronze +Beijing,2008,Equestrian,Eventing,team,"KING, Mary",Women,GBR,United Kingdom,X,Bronze +Beijing,2008,Equestrian,Eventing,team,"ROMEIKE, Hinrich",Men,GER,Germany,X,Gold +Beijing,2008,Equestrian,Eventing,team,"FOX-PITT, William",Men,GBR,United Kingdom,X,Bronze +Beijing,2008,Equestrian,Eventing,team,"COOK, Kristina",Women,GBR,United Kingdom,X,Bronze +Beijing,2008,Equestrian,Eventing,team,"KLIMKE, Ingrid",Women,GER,Germany,X,Gold +Beijing,2008,Equestrian,Eventing,team,"DICK, Daisy",Women,GBR,United Kingdom,X,Bronze +Beijing,2008,Equestrian,Eventing,team,"ROSE, Shane",Men,AUS,Australia,X,Silver +Beijing,2008,Equestrian,Jumping,team,"SIMPSON, Will",Men,USA,United States,X,Gold +Beijing,2008,Equestrian,Jumping,team,"LAMAZE, Eric",Men,CAN,Canada,X,Silver +Beijing,2008,Equestrian,Jumping,individual,"MADDEN, Beezie",Women,USA,United States,X,Bronze +Beijing,2008,Equestrian,Jumping,team,"CONE, Mac",Men,CAN,Canada,X,Silver +Beijing,2008,Equestrian,Jumping,team,"GUERDAT, Steve",Men,SUI,Switzerland,X,Bronze +Beijing,2008,Equestrian,Jumping,team,"WARD, Mclain",Men,USA,United States,X,Gold +Beijing,2008,Equestrian,Jumping,team,"HENSELWOOD, Jill",Women,CAN,Canada,X,Silver +Beijing,2008,Equestrian,Jumping,team,"MADDEN, Beezie",Women,USA,United States,X,Gold +Beijing,2008,Equestrian,Jumping,team,"MILLAR, Ian",Men,CAN,Canada,X,Silver +Beijing,2008,Equestrian,Jumping,team,"SCHURTENBERGER, Niklaus",Men,SUI,Switzerland,X,Bronze +Beijing,2008,Equestrian,Jumping,team,"KRAUT, Laura",Women,USA,United States,X,Gold +Beijing,2008,Equestrian,Jumping,individual,"LAMAZE, Eric",Men,CAN,Canada,X,Gold +Beijing,2008,Equestrian,Jumping,team,"LIEBHERR, Christina",Women,SUI,Switzerland,X,Bronze +Beijing,2008,Equestrian,Jumping,individual,"BENGTSSON, Rolf-Goran",Men,SWE,Sweden,X,Silver +Beijing,2008,Equestrian,Jumping,team,"SCHWIZER, Pius",Men,SUI,Switzerland,X,Bronze +Beijing,2008,Fencing,Fencing,sabre individual,"WARD, Becca",Women,USA,United States,W,Bronze +Beijing,2008,Fencing,Fencing,sabre team,"OCCHIUZZI, Diego",Men,ITA,Italy,M,Bronze +Beijing,2008,Fencing,Fencing,épée team,"MOTYKA, Tomasz",Men,POL,Poland,M,Silver +Beijing,2008,Fencing,Fencing,épée team,"JEANNET, Jerome",Men,FRA,France,M,Gold +Beijing,2008,Fencing,Fencing,foil individual,"KLEIBRINK, Benjamin",Men,GER,Germany,M,Gold +Beijing,2008,Fencing,Fencing,épée individual,"HEIDEMANN, Britta",Women,GER,Germany,W,Gold +Beijing,2008,Fencing,Fencing,foil team,"SALVATORI, Ilaria",Women,ITA,Italy,W,Bronze +Beijing,2008,Fencing,Fencing,sabre team,"KHARLAN, Olga",Women,UKR,Ukraine,W,Gold +Beijing,2008,Fencing,Fencing,sabre team,"LOPEZ, Nicolas",Men,FRA,France,M,Gold +Beijing,2008,Fencing,Fencing,épée team,"CONFALONIERI, Diego",Men,ITA,Italy,M,Bronze +Beijing,2008,Fencing,Fencing,sabre team,"WILLIAMS, James",Men,USA,United States,M,Silver +Beijing,2008,Fencing,Fencing,épée individual,"BRANZA, Ana Maria",Women,ROU,Romania,W,Silver +Beijing,2008,Fencing,Fencing,sabre individual,"COVALIU, Mihai",Men,ROU,Romania,M,Bronze +Beijing,2008,Fencing,Fencing,sabre team,"TAN, Xue",Women,CHN,China,W,Silver +Beijing,2008,Fencing,Fencing,foil individual,"SANZO, Salvatore",Men,ITA,Italy,M,Bronze +Beijing,2008,Fencing,Fencing,épée team,"ZAWROTNIAK, Radoslaw",Men,POL,Poland,M,Silver +Beijing,2008,Fencing,Fencing,sabre team,"ZHOVNIR, Olha",Women,UKR,Ukraine,W,Gold +Beijing,2008,Fencing,Fencing,épée individual,"MINCZA-NEBALD, Ildiko",Women,HUN,Hungary,W,Bronze +Beijing,2008,Fencing,Fencing,sabre team,"ZAGUNIS, Mariel",Women,USA,United States,W,Bronze +Beijing,2008,Fencing,Fencing,foil team,"VEZZALI, Valentina",Women,ITA,Italy,W,Bronze +Beijing,2008,Fencing,Fencing,foil team,"TRILLINI, Giovanna",Women,ITA,Italy,W,Bronze +Beijing,2008,Fencing,Fencing,foil individual,"VEZZALI, Valentina",Women,ITA,Italy,W,Gold +Beijing,2008,Fencing,Fencing,foil team,"GRANBASSI, Margherita",Women,ITA,Italy,W,Bronze +Beijing,2008,Fencing,Fencing,sabre individual,"LOPEZ, Nicolas",Men,FRA,France,M,Silver +Beijing,2008,Fencing,Fencing,sabre team,"SANSON, Boris",Men,FRA,France,M,Gold +Beijing,2008,Fencing,Fencing,sabre team,"TARANTINO, Luigi",Men,ITA,Italy,M,Bronze +Beijing,2008,Fencing,Fencing,foil team,"NIKICHINA, Victoria",Women,RUS,Russia,W,Gold +Beijing,2008,Fencing,Fencing,foil team,"BOYKO, Svetlana",Women,RUS,Russia,W,Gold +Beijing,2008,Fencing,Fencing,foil individual,"NAM, Hyunhee",Women,KOR,"Korea, South",W,Silver +Beijing,2008,Fencing,Fencing,foil team,"THOMPSON, Hanna",Women,USA,United States,W,Silver +Beijing,2008,Fencing,Fencing,épée individual,"TAGLIARIOL, Matteo",Men,ITA,Italy,M,Gold +Beijing,2008,Fencing,Fencing,épée team,"TAGLIARIOL, Matteo",Men,ITA,Italy,M,Bronze +Beijing,2008,Fencing,Fencing,sabre team,"ROGERS, Jason",Men,USA,United States,M,Silver +Beijing,2008,Fencing,Fencing,sabre team,"WARD, Becca",Women,USA,United States,W,Bronze +Beijing,2008,Fencing,Fencing,épée team,"ANDRZEJUK, Robert",Men,POL,Poland,M,Silver +Beijing,2008,Fencing,Fencing,foil individual,"GRANBASSI, Margherita",Women,ITA,Italy,W,Bronze +Beijing,2008,Fencing,Fencing,sabre team,"PUNDYK, Halyna",Women,UKR,Ukraine,W,Gold +Beijing,2008,Fencing,Fencing,foil team,"SMART, Erinn",Women,USA,United States,W,Silver +Beijing,2008,Fencing,Fencing,foil team,"LAMONOVA, Evgenia",Women,RUS,Russia,W,Gold +Beijing,2008,Fencing,Fencing,épée team,"WIERCIOCH, Adam",Men,POL,Poland,M,Silver +Beijing,2008,Fencing,Fencing,sabre team,"MOREHOUSE, Tim",Men,USA,United States,M,Silver +Beijing,2008,Fencing,Fencing,épée team,"ROBEIRI, Ulrich",Men,FRA,France,M,Gold +Beijing,2008,Fencing,Fencing,sabre individual,"ZAGUNIS, Mariel",Women,USA,United States,W,Gold +Beijing,2008,Fencing,Fencing,sabre team,"KHOMROVA, Olena",Women,UKR,Ukraine,W,Gold +Beijing,2008,Fencing,Fencing,sabre team,"SMART, Keeth",Men,USA,United States,M,Silver +Beijing,2008,Fencing,Fencing,sabre team,"NI, Hong",Women,CHN,China,W,Silver +Beijing,2008,Fencing,Fencing,sabre team,"JACOBSON, Sada",Women,USA,United States,W,Bronze +Beijing,2008,Fencing,Fencing,sabre individual,"ZHONG, Man",Men,CHN,China,M,Gold +Beijing,2008,Fencing,Fencing,sabre team,"BAO, Yingying",Women,CHN,China,W,Silver +Beijing,2008,Fencing,Fencing,foil individual,"OTA, Yuki",Men,JPN,Japan,M,Silver +Beijing,2008,Fencing,Fencing,épée individual,"JEANNET, Fabrice",Men,FRA,France,M,Silver +Beijing,2008,Fencing,Fencing,épée team,"ROTA, Alfredo",Men,ITA,Italy,M,Bronze +Beijing,2008,Fencing,Fencing,sabre team,"MONTANO, Aldo",Men,ITA,Italy,M,Bronze +Beijing,2008,Fencing,Fencing,sabre team,"HUANG, Haiyang",Women,CHN,China,W,Silver +Beijing,2008,Fencing,Fencing,épée team,"CAROZZO, Stefano",Men,ITA,Italy,M,Bronze +Beijing,2008,Fencing,Fencing,sabre team,"PASTORE, Giampiero",Men,ITA,Italy,M,Bronze +Beijing,2008,Fencing,Fencing,épée team,"JEANNET, Fabrice",Men,FRA,France,M,Gold +Beijing,2008,Fencing,Fencing,sabre individual,"JACOBSON, Sada",Women,USA,United States,W,Silver +Beijing,2008,Fencing,Fencing,sabre team,"PILLET, Julien",Men,FRA,France,M,Gold +Beijing,2008,Fencing,Fencing,foil team,"CHANAEVA, Aida",Women,RUS,Russia,W,Gold +Beijing,2008,Fencing,Fencing,foil team,"CROSS, Emily",Women,USA,United States,W,Silver +Beijing,2008,Fencing,Fencing,épée individual,"ABAJO, Jose Luis",Men,ESP,Spain,M,Bronze +Beijing,2008,Football,Football,football,"ROMERO, Sergio",Men,ARG,Argentina,M,Gold +Beijing,2008,Football,Football,football,"OKOYINO DA MBABI, Celia",Women,GER,Germany,W,Bronze +Beijing,2008,Football,Football,football,HERNANES,Men,BRA,Brazil,M,Bronze +Beijing,2008,Football,Football,football,"COX, Stephanie",Women,USA,United States,W,Gold +Beijing,2008,Football,Football,football,"RODRIGUEZ, Amy",Women,USA,United States,W,Gold +Beijing,2008,Football,Football,football,"JAMES, Monday",Men,NGR,Nigeria,M,Silver +Beijing,2008,Football,Football,football,CRISTIANE,Women,BRA,Brazil,W,Silver +Beijing,2008,Football,Football,football,"LAVEZZI, Ezequiel",Men,ARG,Argentina,M,Gold +Beijing,2008,Football,Football,football,"KAI, Natasha",Women,USA,United States,W,Gold +Beijing,2008,Football,Football,football,"RIQUELME, Juan",Men,ARG,Argentina,M,Gold +Beijing,2008,Football,Football,football,DIEGO ALVES,Men,BRA,Brazil,M,Bronze +Beijing,2008,Football,Football,football,"LINGOR, Renate",Women,GER,Germany,W,Bronze +Beijing,2008,Football,Football,football,RENATA COSTA,Women,BRA,Brazil,W,Silver +Beijing,2008,Football,Football,football,"KAITA, Sani",Men,NGR,Nigeria,M,Silver +Beijing,2008,Football,Football,football,DIEGO,Men,BRA,Brazil,M,Bronze +Beijing,2008,Football,Football,football,"SOSA, Jose",Men,ARG,Argentina,M,Gold +Beijing,2008,Football,Football,football,"RAMPONE, Christie",Women,USA,United States,W,Gold +Beijing,2008,Football,Football,football,JO,Men,BRA,Brazil,M,Bronze +Beijing,2008,Football,Football,football,TANIA,Women,BRA,Brazil,W,Silver +Beijing,2008,Football,Football,football,MARCELO,Men,BRA,Brazil,M,Bronze +Beijing,2008,Football,Football,football,"BARTUSIAK, Saskia",Women,GER,Germany,W,Bronze +Beijing,2008,Football,Football,football,"DI MARIA, Angel",Men,ARG,Argentina,M,Gold +Beijing,2008,Football,Football,football,"HINGST, Ariane",Women,GER,Germany,W,Bronze +Beijing,2008,Football,Football,football,"OGBUKE OBASI, Chinedu",Men,NGR,Nigeria,M,Silver +Beijing,2008,Football,Football,football,ILSINHO,Men,BRA,Brazil,M,Bronze +Beijing,2008,Football,Football,football,"AMBROSE, Efe",Men,NGR,Nigeria,M,Silver +Beijing,2008,Football,Football,football,"SMISEK, Sandra",Women,GER,Germany,W,Bronze +Beijing,2008,Football,Football,football,"NAVARRO, Nicolas",Men,ARG,Argentina,M,Gold +Beijing,2008,Football,Football,football,"BUEHLER, Rachel",Women,USA,United States,W,Gold +Beijing,2008,Football,Football,football,"ADEFEMI, Olubayo",Men,NGR,Nigeria,M,Silver +Beijing,2008,Football,Football,football,RENAN,Men,BRA,Brazil,M,Bronze +Beijing,2008,Football,Football,football,"GAGO, Fernando",Men,ARG,Argentina,M,Gold +Beijing,2008,Football,Football,football,"EKPO, Emmanuel",Men,NGR,Nigeria,M,Silver +Beijing,2008,Football,Football,football,"MASCHERANO, Javier",Men,ARG,Argentina,M,Gold +Beijing,2008,Football,Football,football,ESTER,Women,BRA,Brazil,W,Silver +Beijing,2008,Football,Football,football,"MONZON, Luciano",Men,ARG,Argentina,M,Gold +Beijing,2008,Football,Football,football,"KRAHN, Annike",Women,GER,Germany,W,Bronze +Beijing,2008,Football,Football,football,"MITTS, Heather",Women,USA,United States,W,Gold +Beijing,2008,Football,Football,football,"ACOSTA, Lautaro",Men,ARG,Argentina,M,Gold +Beijing,2008,Football,Football,football,"APAM, Onyekachi",Men,NGR,Nigeria,M,Silver +Beijing,2008,Football,Football,football,"CHENEY, Lauren",Women,USA,United States,W,Gold +Beijing,2008,Football,Football,football,ALEX SILVA,Men,BRA,Brazil,M,Bronze +Beijing,2008,Football,Football,football,RAFINHA,Men,BRA,Brazil,M,Bronze +Beijing,2008,Football,Football,football,"MITTAG, Anja",Women,GER,Germany,W,Bronze +Beijing,2008,Football,Football,football,SIMONE,Women,BRA,Brazil,W,Silver +Beijing,2008,Football,Football,football,"BEHRINGER, Melanie",Women,GER,Germany,W,Bronze +Beijing,2008,Football,Football,football,"WAGNER, Aly",Women,USA,United States,W,Gold +Beijing,2008,Football,Football,football,BRENO,Men,BRA,Brazil,M,Bronze +Beijing,2008,Football,Football,football,"PRINZ, Birgit",Women,GER,Germany,W,Bronze +Beijing,2008,Football,Football,football,"HUCLES, Angela",Women,USA,United States,W,Gold +Beijing,2008,Football,Football,football,"STEGEMANN, Kerstin",Women,GER,Germany,W,Bronze +Beijing,2008,Football,Football,football,FORMIGA,Women,BRA,Brazil,W,Silver +Beijing,2008,Football,Football,football,"POHLERS, Conny",Women,GER,Germany,W,Bronze +Beijing,2008,Football,Football,football,PRETINHA,Women,BRA,Brazil,W,Silver +Beijing,2008,Football,Football,football,"ANICHEBE, Victor",Men,NGR,Nigeria,M,Silver +Beijing,2008,Football,Football,football,ANDREIA,Women,BRA,Brazil,W,Silver +Beijing,2008,Football,Football,football,"MESSI, Lionel",Men,ARG,Argentina,M,Gold +Beijing,2008,Football,Football,football,THIAGO SILVA,Men,BRA,Brazil,M,Bronze +Beijing,2008,Football,Football,football,"OLUFEMI, Oladapo",Men,NGR,Nigeria,M,Silver +Beijing,2008,Football,Football,football,ERIKA,Women,BRA,Brazil,W,Silver +Beijing,2008,Football,Football,football,BARBARA,Women,BRA,Brazil,W,Silver +Beijing,2008,Football,Football,football,MAYCON,Women,BRA,Brazil,W,Silver +Beijing,2008,Football,Football,football,ANDREIA ROSA,Women,BRA,Brazil,W,Silver +Beijing,2008,Football,Football,football,MAURINE,Women,BRA,Brazil,W,Silver +Beijing,2008,Football,Football,football,"EZENWA, Ikechukwu",Men,NGR,Nigeria,M,Silver +Beijing,2008,Football,Football,football,"ODEMWINGIE, Peter",Men,NGR,Nigeria,M,Silver +Beijing,2008,Football,Football,football,"PAREJA, Nicolas",Men,ARG,Argentina,M,Gold +Beijing,2008,Football,Football,football,"AJILORE, Ebenezer",Men,NGR,Nigeria,M,Silver +Beijing,2008,Football,Football,football,"BOXX, Shannon",Women,USA,United States,W,Gold +Beijing,2008,Football,Football,football,"O REILLY, Heather",Women,USA,United States,W,Gold +Beijing,2008,Football,Football,football,"ZABALETA, Pablo",Men,ARG,Argentina,M,Gold +Beijing,2008,Football,Football,football,"HOLL, Ursula",Women,GER,Germany,W,Bronze +Beijing,2008,Football,Football,football,"MARKGRAF, Kate",Women,USA,United States,W,Gold +Beijing,2008,Football,Football,football,"PETER, Babett",Women,GER,Germany,W,Bronze +Beijing,2008,Football,Football,football,FABIANA,Women,BRA,Brazil,W,Silver +Beijing,2008,Football,Football,football,"BARNHART, Nicole",Women,USA,United States,W,Gold +Beijing,2008,Football,Football,football,"VANZEKIN, Ambruse",Men,NGR,Nigeria,M,Silver +Beijing,2008,Football,Football,football,"ADELEYE, Dele",Men,NGR,Nigeria,M,Silver +Beijing,2008,Football,Football,football,"HEATH, Tobin",Women,USA,United States,W,Gold +Beijing,2008,Football,Football,football,"LAUDEHR, Simone",Women,GER,Germany,W,Bronze +Beijing,2008,Football,Football,football,"ANGERER, Nadine",Women,GER,Germany,W,Bronze +Beijing,2008,Football,Football,football,"SOLO, Hope",Women,USA,United States,W,Gold +Beijing,2008,Football,Football,football,"ISAAC, Promise",Men,NGR,Nigeria,M,Silver +Beijing,2008,Football,Football,football,"GAREFREKES, Kerstin",Women,GER,Germany,W,Bronze +Beijing,2008,Football,Football,football,MARTA,Women,BRA,Brazil,W,Silver +Beijing,2008,Football,Football,football,DANIELA,Women,BRA,Brazil,W,Silver +Beijing,2008,Football,Football,football,"OKORONKWO, Solomon",Men,NGR,Nigeria,M,Silver +Beijing,2008,Football,Football,football,RONALDINHO,Men,BRA,Brazil,M,Bronze +Beijing,2008,Football,Football,football,"GARAY, Ezequiel",Men,ARG,Argentina,M,Gold +Beijing,2008,Football,Football,football,ANDERSON,Men,BRA,Brazil,M,Bronze +Beijing,2008,Football,Football,football,LUCAS,Men,BRA,Brazil,M,Bronze +Beijing,2008,Football,Football,football,"BANEGA, Ever",Men,ARG,Argentina,M,Gold +Beijing,2008,Football,Football,football,"BRESONIK, Linda",Women,GER,Germany,W,Bronze +Beijing,2008,Football,Football,football,THIAGO NEVES,Men,BRA,Brazil,M,Bronze +Beijing,2008,Football,Football,football,"BUONANOTTE , Diego",Men,ARG,Argentina,M,Gold +Beijing,2008,Football,Football,football,RAMIRES,Men,BRA,Brazil,M,Bronze +Beijing,2008,Football,Football,football,ALEXANDRE PATO,Men,BRA,Brazil,M,Bronze +Beijing,2008,Football,Football,football,"TARPLEY, Lindsay",Women,USA,United States,W,Gold +Beijing,2008,Football,Football,football,"AGUERO, Sergio",Men,ARG,Argentina,M,Gold +Beijing,2008,Football,Football,football,"OKONKWO, Chibuzor",Men,NGR,Nigeria,M,Silver +Beijing,2008,Football,Football,football,RAFAEL SOBIS,Men,BRA,Brazil,M,Bronze +Beijing,2008,Football,Football,football,FRANCIELLE,Women,BRA,Brazil,W,Silver +Beijing,2008,Football,Football,football,"OBINNA, Victor",Men,NGR,Nigeria,M,Silver +Beijing,2008,Football,Football,football,"FAZIO, Federico",Men,ARG,Argentina,M,Gold +Beijing,2008,Football,Football,football,ROSANA,Women,BRA,Brazil,W,Silver +Beijing,2008,Football,Football,football,"BAJRAMAJ, Fatmire",Women,GER,Germany,W,Bronze +Beijing,2008,Football,Football,football,"LLOYD, Carli",Women,USA,United States,W,Gold +Beijing,2008,Football,Football,football,"CHALUPNY, Lori",Women,USA,United States,W,Gold +Beijing,2008,Gymnastics,Artistic G.,team competition,"HORTON, Jonathan",Men,USA,United States,M,Bronze +Beijing,2008,Gymnastics,Artistic G.,team competition,"JOHNSON, Shawn",Women,USA,United States,W,Silver +Beijing,2008,Gymnastics,Artistic G.,team competition,"UCHIMURA, Kohei",Men,JPN,Japan,M,Silver +Beijing,2008,Gymnastics,Artistic G.,team competition,"LIUKIN, Nastia",Women,USA,United States,W,Silver +Beijing,2008,Gymnastics,Artistic G.,vault,"BOUHAIL, Thomas",Men,FRA,France,M,Silver +Beijing,2008,Gymnastics,Artistic G.,team competition,"PESZEK, Samantha",Women,USA,United States,W,Silver +Beijing,2008,Gymnastics,Artistic G.,balance beam,"CHENG, Fei",Women,CHN,China,W,Bronze +Beijing,2008,Gymnastics,Artistic G.,team competition,"KASHIMA, Takehiro",Men,JPN,Japan,M,Silver +Beijing,2008,Gymnastics,Artistic G.,team competition,"TOMITA, Hiroyuki",Men,JPN,Japan,M,Silver +Beijing,2008,Gymnastics,Artistic G.,team competition,"CHENG, Fei",Women,CHN,China,W,Gold +Beijing,2008,Gymnastics,Artistic G.,team competition,"JIANG, Yuyuan",Women,CHN,China,W,Gold +Beijing,2008,Gymnastics,Artistic G.,horizontal bar,"ZOU, Kai",Men,CHN,China,M,Gold +Beijing,2008,Gymnastics,Artistic G.,team competition,"DENG, Linlin",Women,CHN,China,W,Gold +Beijing,2008,Gymnastics,Artistic G.,floor exercises,"LIUKIN, Nastia",Women,USA,United States,W,Bronze +Beijing,2008,Gymnastics,Artistic G.,team competition,"YANG, Yilin",Women,CHN,China,W,Gold +Beijing,2008,Gymnastics,Artistic G.,individual all-round,"JOHNSON, Shawn",Women,USA,United States,W,Silver +Beijing,2008,Gymnastics,Artistic G.,parallel bars,"YOO, Wonchul",Men,KOR,"Korea, South",M,Silver +Beijing,2008,Gymnastics,Artistic G.,balance beam,"LIUKIN, Nastia",Women,USA,United States,W,Silver +Beijing,2008,Gymnastics,Artistic G.,individual all-round,"YANG, Wei",Men,CHN,China,M,Gold +Beijing,2008,Gymnastics,Artistic G.,team competition,"SACRAMONE, Alicia",Women,USA,United States,W,Silver +Beijing,2008,Gymnastics,Artistic G.,rings,"VOROBIOV, Oleksandr",Men,UKR,Ukraine,M,Bronze +Beijing,2008,Gymnastics,Artistic G.,horizontal bar,"HORTON, Jonathan",Men,USA,United States,M,Silver +Beijing,2008,Gymnastics,Artistic G.,balance beam,"JOHNSON, Shawn",Women,USA,United States,W,Gold +Beijing,2008,Gymnastics,Artistic G.,team competition,"YANG, Wei",Men,CHN,China,M,Gold +Beijing,2008,Gymnastics,Artistic G.,parallel bars,"LI, Xiaopeng",Men,CHN,China,M,Gold +Beijing,2008,Gymnastics,Artistic G.,uneven bars,"LIUKIN, Nastia",Women,USA,United States,W,Silver +Beijing,2008,Gymnastics,Artistic G.,vault,"CHENG, Fei",Women,CHN,China,W,Bronze +Beijing,2008,Gymnastics,Artistic G.,team competition,"LI, Shanshan",Women,CHN,China,W,Gold +Beijing,2008,Gymnastics,Artistic G.,team competition,"ARTEMEV, Alexander",Men,USA,United States,M,Bronze +Beijing,2008,Gymnastics,Artistic G.,team competition,"OKIGUCHI, Makoto",Men,JPN,Japan,M,Silver +Beijing,2008,Gymnastics,Artistic G.,parallel bars,"FOKIN, Anton",Men,UZB,Uzbekistan,M,Bronze +Beijing,2008,Gymnastics,Artistic G.,team competition,"SLOAN, Bridget",Women,USA,United States,W,Silver +Beijing,2008,Gymnastics,Artistic G.,floor exercises,"ZOU, Kai",Men,CHN,China,M,Gold +Beijing,2008,Gymnastics,Artistic G.,team competition,"DRAGOI, Gabriela",Women,ROU,Romania,W,Bronze +Beijing,2008,Gymnastics,Artistic G.,team competition,"HAGERTY, Joey",Men,USA,United States,M,Bronze +Beijing,2008,Gymnastics,Artistic G.,floor exercises,"DEFERR, Gervasio",Men,ESP,Spain,M,Silver +Beijing,2008,Gymnastics,Artistic G.,team competition,"TAN, Kai Wen",Men,USA,United States,M,Bronze +Beijing,2008,Gymnastics,Artistic G.,team competition,"CHEN, Yibing",Men,CHN,China,M,Gold +Beijing,2008,Gymnastics,Artistic G.,team competition,"HE, Kexin",Women,CHN,China,W,Gold +Beijing,2008,Gymnastics,Artistic G.,team competition,"NISTOR, Steliana",Women,ROU,Romania,W,Bronze +Beijing,2008,Gymnastics,Artistic G.,team competition,"XIAO, Qin",Men,CHN,China,M,Gold +Beijing,2008,Gymnastics,Artistic G.,team competition,"IZBASA, Sandra",Women,ROU,Romania,W,Bronze +Beijing,2008,Gymnastics,Artistic G.,team competition,"ZOU, Kai",Men,CHN,China,M,Gold +Beijing,2008,Gymnastics,Artistic G.,individual all-round,"UCHIMURA, Kohei",Men,JPN,Japan,M,Silver +Beijing,2008,Gymnastics,Artistic G.,pommel horse,"UDE, Filip",Men,CRO,Croatia,M,Silver +Beijing,2008,Gymnastics,Artistic G.,team competition,"TAMIRJAN, Anamaria",Women,ROU,Romania,W,Bronze +Beijing,2008,Gymnastics,Artistic G.,vault,"CHUSOVITINA, Oxana.",Women,GER,Germany,W,Silver +Beijing,2008,Gymnastics,Artistic G.,pommel horse,"SMITH, Louis",Men,GBR,United Kingdom,M,Bronze +Beijing,2008,Gymnastics,Artistic G.,floor exercises,"JOHNSON, Shawn",Women,USA,United States,W,Silver +Beijing,2008,Gymnastics,Artistic G.,vault,"BLANIK, Leszek",Men,POL,Poland,M,Gold +Beijing,2008,Gymnastics,Artistic G.,pommel horse,"XIAO, Qin",Men,CHN,China,M,Gold +Beijing,2008,Gymnastics,Artistic G.,floor exercises,"IZBASA, Sandra",Women,ROU,Romania,W,Gold +Beijing,2008,Gymnastics,Artistic G.,team competition,"GRIGORE, Andreea",Women,ROU,Romania,W,Bronze +Beijing,2008,Gymnastics,Artistic G.,team competition,"SPRING, Justin",Men,USA,United States,M,Bronze +Beijing,2008,Gymnastics,Artistic G.,uneven bars,"HE, Kexin",Women,CHN,China,W,Gold +Beijing,2008,Gymnastics,Artistic G.,individual all-round,"LIUKIN, Nastia",Women,USA,United States,W,Gold +Beijing,2008,Gymnastics,Artistic G.,vault,"GOLOTSUTSKOV, Anton",Men,RUS,Russia,M,Bronze +Beijing,2008,Gymnastics,Artistic G.,team competition,"ACATRINEI, Andreea",Women,ROU,Romania,W,Bronze +Beijing,2008,Gymnastics,Artistic G.,uneven bars,"YANG, Yilin",Women,CHN,China,W,Bronze +Beijing,2008,Gymnastics,Artistic G.,vault,"HONG, Un Jong",Women,PRK,"Korea, North",W,Gold +Beijing,2008,Gymnastics,Artistic G.,rings,"YANG, Wei",Men,CHN,China,M,Silver +Beijing,2008,Gymnastics,Artistic G.,individual all-round,"YANG, Yilin",Women,CHN,China,W,Bronze +Beijing,2008,Gymnastics,Artistic G.,team competition,"LI, Xiaopeng",Men,CHN,China,M,Gold +Beijing,2008,Gymnastics,Artistic G.,team competition,"BHAVSAR, Raj",Men,USA,United States,M,Bronze +Beijing,2008,Gymnastics,Artistic G.,team competition,"HUANG, Xu",Men,CHN,China,M,Gold +Beijing,2008,Gymnastics,Artistic G.,team competition,"MEMMEL, Chellsie",Women,USA,United States,W,Silver +Beijing,2008,Gymnastics,Artistic G.,team competition,"SAKAMOTO, Koki",Men,JPN,Japan,M,Silver +Beijing,2008,Gymnastics,Artistic G.,team competition,"NAKASE, Takuya",Men,JPN,Japan,M,Silver +Beijing,2008,Gymnastics,Artistic G.,horizontal bar,"HAMBUECHEN, Fabian",Men,GER,Germany,M,Bronze +Beijing,2008,Gymnastics,Artistic G.,floor exercises,"GOLOTSUTSKOV, Anton",Men,RUS,Russia,M,Bronze +Beijing,2008,Gymnastics,Artistic G.,rings,"CHEN, Yibing",Men,CHN,China,M,Gold +Beijing,2008,Gymnastics,Artistic G.,individual all-round,"CARANOBE, Benoit",Men,FRA,France,M,Bronze +Beijing,2008,Gymnastics,Rhythmic G.,group competition,"ZUEVA, Natalia",Women,RUS,Russia,W,Gold +Beijing,2008,Gymnastics,Rhythmic G.,group competition,"IVANKOVA, Anastasia",Women,BLR,Belarus,W,Bronze +Beijing,2008,Gymnastics,Rhythmic G.,group competition,"TUMILOVICH, Alina",Women,BLR,Belarus,W,Bronze +Beijing,2008,Gymnastics,Rhythmic G.,group competition,"CHOU, Tao",Women,CHN,China,W,Silver +Beijing,2008,Gymnastics,Rhythmic G.,group competition,"SUN, Dan",Women,CHN,China,W,Silver +Beijing,2008,Gymnastics,Rhythmic G.,group competition,"SANKOVICH, Ksenia",Women,BLR,Belarus,W,Bronze +Beijing,2008,Gymnastics,Rhythmic G.,individual all-round,"BESSONOVA, Anna",Women,UKR,Ukraine,W,Bronze +Beijing,2008,Gymnastics,Rhythmic G.,group competition,"POSEVINA, Elena",Women,RUS,Russia,W,Gold +Beijing,2008,Gymnastics,Rhythmic G.,group competition,"ALIYCHUK, Margarita",Women,RUS,Russia,W,Gold +Beijing,2008,Gymnastics,Rhythmic G.,individual all-round,"ZHUKOVA, Inna",Women,BLR,Belarus,W,Silver +Beijing,2008,Gymnastics,Rhythmic G.,individual all-round,"KANAEVA, Evgeniya",Women,RUS,Russia,W,Gold +Beijing,2008,Gymnastics,Rhythmic G.,group competition,"CAI, Tongtong",Women,CHN,China,W,Silver +Beijing,2008,Gymnastics,Rhythmic G.,group competition,"SUI, Jianshuang",Women,CHN,China,W,Silver +Beijing,2008,Gymnastics,Rhythmic G.,group competition,"ZHANG, Shuo",Women,CHN,China,W,Silver +Beijing,2008,Gymnastics,Rhythmic G.,group competition,"LU, Yuanyang",Women,CHN,China,W,Silver +Beijing,2008,Gymnastics,Rhythmic G.,group competition,"GORBUNOVA, Tatiana",Women,RUS,Russia,W,Gold +Beijing,2008,Gymnastics,Rhythmic G.,group competition,"MARTINOVICH, Glafira",Women,BLR,Belarus,W,Bronze +Beijing,2008,Gymnastics,Rhythmic G.,group competition,"GAVRILENKO, Anna",Women,RUS,Russia,W,Gold +Beijing,2008,Gymnastics,Rhythmic G.,group competition,"LUNINA, Zinaida",Women,BLR,Belarus,W,Bronze +Beijing,2008,Gymnastics,Rhythmic G.,group competition,"BABUSHKINA, Olesya",Women,BLR,Belarus,W,Bronze +Beijing,2008,Gymnastics,Rhythmic G.,group competition,"SHKURIKHINA, Daria",Women,RUS,Russia,W,Gold +Beijing,2008,Gymnastics,Trampoline,individual,"DONG, Dong",Men,CHN,China,M,Bronze +Beijing,2008,Gymnastics,Trampoline,individual,"COCKBURN, Karen",Women,CAN,Canada,W,Silver +Beijing,2008,Gymnastics,Trampoline,individual,"KHILKO, Ekaterina",Women,UZB,Uzbekistan,W,Bronze +Beijing,2008,Gymnastics,Trampoline,individual,"BURNETT, Jason",Men,CAN,Canada,M,Silver +Beijing,2008,Gymnastics,Trampoline,individual,"HE, Wenna",Women,CHN,China,W,Gold +Beijing,2008,Gymnastics,Trampoline,individual,"LU, Chunlong",Men,CHN,China,M,Gold +Beijing,2008,Handball,Handball,handball,"GIRAULT, Olivier",Men,FRA,France,M,Gold +Beijing,2008,Handball,Handball,handball,"MARENNIKOVA, Ekaterina",Women,RUS,Russia,W,Silver +Beijing,2008,Handball,Handball,handball,"ENTRERRIOS, Raul",Men,ESP,Spain,M,Bronze +Beijing,2008,Handball,Handball,handball,"SIDOROVA, Maria",Women,RUS,Russia,W,Silver +Beijing,2008,Handball,Handball,handball,"MOON, Pilhee",Women,KOR,"Korea, South",W,Bronze +Beijing,2008,Handball,Handball,handball,"TOMAS, Victor",Men,ESP,Spain,M,Bronze +Beijing,2008,Handball,Handball,handball,"ROMERO, Iker",Men,ESP,Spain,M,Bronze +Beijing,2008,Handball,Handball,handball,"OMEYER, Thierry",Men,FRA,France,M,Gold +Beijing,2008,Handball,Handball,handball,"ATLASON, Arnor",Men,ISL,Iceland,M,Silver +Beijing,2008,Handball,Handball,handball,"ABALO, Luc",Men,FRA,France,M,Gold +Beijing,2008,Handball,Handball,handball,"HONG, Jeong-Ho",Women,KOR,"Korea, South",W,Bronze +Beijing,2008,Handball,Handball,handball,"POSTNOVA, Liudmila",Women,RUS,Russia,W,Silver +Beijing,2008,Handball,Handball,handball,"KIM, Namsun",Women,KOR,"Korea, South",W,Bronze +Beijing,2008,Handball,Handball,handball,"STEFANSSON, Olafur",Men,ISL,Iceland,M,Silver +Beijing,2008,Handball,Handball,handball,"ROCAS, Albert",Men,ESP,Spain,M,Bronze +Beijing,2008,Handball,Handball,handball,"GUDMUNDSSON, Hreidar Levy",Men,ISL,Iceland,M,Silver +Beijing,2008,Handball,Handball,handball,"SIGURDSSON, Sigfus",Men,ISL,Iceland,M,Silver +Beijing,2008,Handball,Handball,handball,"NARCISSE, Daniel",Men,FRA,France,M,Gold +Beijing,2008,Handball,Handball,handball,"PARK, Chunghee",Women,KOR,"Korea, South",W,Bronze +Beijing,2008,Handball,Handball,handball,"BREIVANG, Karoline Dyhre",Women,NOR,Norway,W,Gold +Beijing,2008,Handball,Handball,handball,"ASGEIRSSON, Sturla",Men,ISL,Iceland,M,Silver +Beijing,2008,Handball,Handball,handball,"AAMODT, Ragnhild",Women,NOR,Norway,W,Gold +Beijing,2008,Handball,Handball,handball,"GUIGOU, Michael",Men,FRA,France,M,Gold +Beijing,2008,Handball,Handball,handball,"PATY, Cedric",Men,FRA,France,M,Gold +Beijing,2008,Handball,Handball,handball,"LUNDE, Kristine",Women,NOR,Norway,W,Gold +Beijing,2008,Handball,Handball,handball,"SNORROEGGEN, Goeril",Women,NOR,Norway,W,Gold +Beijing,2008,Handball,Handball,handball,"GUNNARSSON, Robert",Men,ISL,Iceland,M,Silver +Beijing,2008,Handball,Handball,handball,"PRIETO, Carlos",Men,ESP,Spain,M,Bronze +Beijing,2008,Handball,Handball,handball,"KEMPE, Christophe",Men,FRA,France,M,Gold +Beijing,2008,Handball,Handball,handball,"USKOVA, Yana",Women,RUS,Russia,W,Silver +Beijing,2008,Handball,Handball,handball,"HALLGRIMSSON, Asgeir Orn",Men,ISL,Iceland,M,Silver +Beijing,2008,Handball,Handball,handball,"LYBEKK, Else Marthe Soerlie",Women,NOR,Norway,W,Gold +Beijing,2008,Handball,Handball,handball,"DAVIS, David",Men,ESP,Spain,M,Bronze +Beijing,2008,Handball,Handball,handball,"OH, Yong Ran",Women,KOR,"Korea, South",W,Bronze +Beijing,2008,Handball,Handball,handball,"NOESTVOLD, Tonje",Women,NOR,Norway,W,Gold +Beijing,2008,Handball,Handball,handball,"LOZANO, Demetrio",Men,ESP,Spain,M,Bronze +Beijing,2008,Handball,Handball,handball,"ABATI, Joel",Men,FRA,France,M,Gold +Beijing,2008,Handball,Handball,handball,"KIM, Chayoun",Women,KOR,"Korea, South",W,Bronze +Beijing,2008,Handball,Handball,handball,"JAKOBSSON, Sverre Andreas",Men,ISL,Iceland,M,Silver +Beijing,2008,Handball,Handball,handball,"GEIRSSON, Logi",Men,ISL,Iceland,M,Silver +Beijing,2008,Handball,Handball,handball,"GRIMSBOE, Kari Aalvik",Women,NOR,Norway,W,Gold +Beijing,2008,Handball,Handball,handball,"OH, Seongok",Women,KOR,"Korea, South",W,Bronze +Beijing,2008,Handball,Handball,handball,"KARABATIC, Nikola",Men,FRA,France,M,Gold +Beijing,2008,Handball,Handball,handball,"JOHANSEN, Kari Mette",Women,NOR,Norway,W,Gold +Beijing,2008,Handball,Handball,handball,"HARALDSEN, Katrine Lunde",Women,NOR,Norway,W,Gold +Beijing,2008,Handball,Handball,handball,"PETERSSON, Alexander",Men,ISL,Iceland,M,Silver +Beijing,2008,Handball,Handball,handball,"MALMAGRO, Cristian",Men,ESP,Spain,M,Bronze +Beijing,2008,Handball,Handball,handball,"GUDJONSSON, Snorri Steinn",Men,ISL,Iceland,M,Silver +Beijing,2008,Handball,Handball,handball,"SIGURDSSON, Gudjon Valur",Men,ISL,Iceland,M,Silver +Beijing,2008,Handball,Handball,handball,"DINART, Didier",Men,FRA,France,M,Gold +Beijing,2008,Handball,Handball,handball,"LARSEN, Tonje",Women,NOR,Norway,W,Gold +Beijing,2008,Handball,Handball,handball,"DMITRIEVA, Elena",Women,RUS,Russia,W,Silver +Beijing,2008,Handball,Handball,handball,"GILLE, Bertrand",Men,FRA,France,M,Gold +Beijing,2008,Handball,Handball,handball,"GARCIA, Juan",Men,ESP,Spain,M,Bronze +Beijing,2008,Handball,Handball,handball,"POLENOVA, Elena",Women,RUS,Russia,W,Silver +Beijing,2008,Handball,Handball,handball,"AN, Junghwa",Women,KOR,"Korea, South",W,Bronze +Beijing,2008,Handball,Handball,handball,"LEE, Minhee",Women,KOR,"Korea, South",W,Bronze +Beijing,2008,Handball,Handball,handball,"NYBERG, Katja",Women,NOR,Norway,W,Gold +Beijing,2008,Handball,Handball,handball,"SHIPILOVA, Natalia",Women,RUS,Russia,W,Silver +Beijing,2008,Handball,Handball,handball,"INGIMUNDARSON, Ingimundur",Men,ISL,Iceland,M,Silver +Beijing,2008,Handball,Handball,handball,"GUSTAVSSON, Bjorgvin Pall",Men,ISL,Iceland,M,Silver +Beijing,2008,Handball,Handball,handball,"HAMMERSENG, Gro",Women,NOR,Norway,W,Gold +Beijing,2008,Handball,Handball,handball,"HOMBRADOS, Jose Javier",Men,ESP,Spain,M,Bronze +Beijing,2008,Handball,Handball,handball,"BLIZNOVA, Irina",Women,RUS,Russia,W,Silver +Beijing,2008,Handball,Handball,handball,"ROMENSKAYA, Oxana",Women,RUS,Russia,W,Silver +Beijing,2008,Handball,Handball,handball,"TUREY, Emiliya",Women,RUS,Russia,W,Silver +Beijing,2008,Handball,Handball,handball,"SONG, Hairim",Women,KOR,"Korea, South",W,Bronze +Beijing,2008,Handball,Handball,handball,"ANDRYUSHINA, Ekaterina",Women,RUS,Russia,W,Silver +Beijing,2008,Handball,Handball,handball,"KARABOUE, Daouda",Men,FRA,France,M,Gold +Beijing,2008,Handball,Handball,handball,"BARRUFET, David",Men,ESP,Spain,M,Bronze +Beijing,2008,Handball,Handball,handball,"SUSLINA, Inna",Women,RUS,Russia,W,Silver +Beijing,2008,Handball,Handball,handball,"POLTORATSKAYA, Irina",Women,RUS,Russia,W,Silver +Beijing,2008,Handball,Handball,handball,"FERNANDEZ, Jerome",Men,FRA,France,M,Gold +Beijing,2008,Handball,Handball,handball,"GARABAYA, Ruben",Men,ESP,Spain,M,Bronze +Beijing,2008,Handball,Handball,handball,"ENTRERRIOS, Alberto",Men,ESP,Spain,M,Bronze +Beijing,2008,Handball,Handball,handball,"GILLE, Guillaume",Men,FRA,France,M,Gold +Beijing,2008,Handball,Handball,handball,"KIM, Ona",Women,KOR,"Korea, South",W,Bronze +Beijing,2008,Handball,Handball,handball,"FRAFJORD, Marit Malm",Women,NOR,Norway,W,Gold +Beijing,2008,Handball,Handball,handball,"CHOI, Imjeong",Women,KOR,"Korea, South",W,Bronze +Beijing,2008,Handball,Handball,handball,"RIEGELHUTH, Linn-Kristin",Women,NOR,Norway,W,Gold +Beijing,2008,Handball,Handball,handball,"BURDET, Cedric",Men,FRA,France,M,Gold +Beijing,2008,Handball,Handball,handball,"KAREEVA, Anna",Women,RUS,Russia,W,Silver +Beijing,2008,Handball,Handball,handball,"BAE, Minhee",Women,KOR,"Korea, South",W,Bronze +Beijing,2008,Handball,Handball,handball,"BELAUSTEGUI, Jon",Men,ESP,Spain,M,Bronze +Beijing,2008,Handball,Handball,handball,"HUH, Soonyoung",Women,KOR,"Korea, South",W,Bronze +Beijing,2008,Hockey,Hockey,hockey,"DIJKSTRA, Wieke",Women,NED,Netherlands,W,Gold +Beijing,2008,Hockey,Hockey,hockey,"ZELLER, Philipp",Men,GER,Germany,M,Gold +Beijing,2008,Hockey,Hockey,hockey,"FERNANDEZ, Juan",Men,ESP,Spain,M,Silver +Beijing,2008,Hockey,Hockey,hockey,"GODERIE, Maartje",Women,NED,Netherlands,W,Gold +Beijing,2008,Hockey,Hockey,hockey,"ALEGRE, Ramon",Men,ESP,Spain,M,Silver +Beijing,2008,Hockey,Hockey,hockey,"ZHOU, Wanfeng",Women,CHN,China,W,Silver +Beijing,2008,Hockey,Hockey,hockey,"POLKAMP, Sophie",Women,NED,Netherlands,W,Gold +Beijing,2008,Hockey,Hockey,hockey,"LI, Shuang",Women,CHN,China,W,Silver +Beijing,2008,Hockey,Hockey,hockey,"DWYER, Jamie",Men,AUS,Australia,M,Bronze +Beijing,2008,Hockey,Hockey,hockey,"DE YOUNG, Liam",Men,AUS,Australia,M,Bronze +Beijing,2008,Hockey,Hockey,hockey,"FU, Baorong",Women,CHN,China,W,Silver +Beijing,2008,Hockey,Hockey,hockey,"SCHUBERT, Grant",Men,AUS,Australia,M,Bronze +Beijing,2008,Hockey,Hockey,hockey,"REBECCHI, Carla",Women,ARG,Argentina,W,Bronze +Beijing,2008,Hockey,Hockey,hockey,"BURKART, Claudia",Women,ARG,Argentina,W,Bronze +Beijing,2008,Hockey,Hockey,hockey,"MUELLER, Maximilian",Men,GER,Germany,M,Gold +Beijing,2008,Hockey,Hockey,hockey,"GAO, Lihua",Women,CHN,China,W,Silver +Beijing,2008,Hockey,Hockey,hockey,"GONZALEZ OLIVA, Mariana",Women,ARG,Argentina,W,Bronze +Beijing,2008,Hockey,Hockey,hockey,"SONG, Qingling",Women,CHN,China,W,Silver +Beijing,2008,Hockey,Hockey,hockey,"BOOIJ, Minke",Women,NED,Netherlands,W,Gold +Beijing,2008,Hockey,Hockey,hockey,"ZELLER, Christopher",Men,GER,Germany,M,Gold +Beijing,2008,Hockey,Hockey,hockey,"SUCCI, Belen",Women,ARG,Argentina,W,Bronze +Beijing,2008,Hockey,Hockey,hockey,"WELTEN, Lidewij",Women,NED,Netherlands,W,Gold +Beijing,2008,Hockey,Hockey,hockey,"WEINHOLD, Max",Men,GER,Germany,M,Gold +Beijing,2008,Hockey,Hockey,hockey,"KNOWLES, Mark",Men,AUS,Australia,M,Bronze +Beijing,2008,Hockey,Hockey,hockey,"GEORGE, Bevan",Men,AUS,Australia,M,Bronze +Beijing,2008,Hockey,Hockey,hockey,"VUKOJICIC, Paola",Women,ARG,Argentina,W,Bronze +Beijing,2008,Hockey,Hockey,hockey,"LUCHETTI, Rosario",Women,ARG,Argentina,W,Bronze +Beijing,2008,Hockey,Hockey,hockey,"SOJO, Victor",Men,ESP,Spain,M,Silver +Beijing,2008,Hockey,Hockey,hockey,"WELLS, Matthew",Men,AUS,Australia,M,Bronze +Beijing,2008,Hockey,Hockey,hockey,"ROSSI, Mariana",Women,ARG,Argentina,W,Bronze +Beijing,2008,Hockey,Hockey,hockey,"REN, Ye",Women,CHN,China,W,Silver +Beijing,2008,Hockey,Hockey,hockey,"MOREIRA DE MELO, Fatima",Women,NED,Netherlands,W,Gold +Beijing,2008,Hockey,Hockey,hockey,"DE GOEDE, Eva",Women,NED,Netherlands,W,Gold +Beijing,2008,Hockey,Hockey,hockey,"MA, Yibo",Women,CHN,China,W,Silver +Beijing,2008,Hockey,Hockey,hockey,"WITTHAUS, Matthias",Men,GER,Germany,M,Gold +Beijing,2008,Hockey,Hockey,hockey,"OCKENDEN, Eddie",Men,AUS,Australia,M,Bronze +Beijing,2008,Hockey,Hockey,hockey,"CORTES, Francisco",Men,ESP,Spain,M,Silver +Beijing,2008,Hockey,Hockey,hockey,"AMAT, Pol",Men,ESP,Spain,M,Silver +Beijing,2008,Hockey,Hockey,hockey,"DE ROEVER, Lisanne",Women,NED,Netherlands,W,Gold +Beijing,2008,Hockey,Hockey,hockey,"LI, Hongxia",Women,CHN,China,W,Silver +Beijing,2008,Hockey,Hockey,hockey,"HERNANDEZ, Maria de la Paz",Women,ARG,Argentina,W,Bronze +Beijing,2008,Hockey,Hockey,hockey,"GARZA, Rodrigo",Men,ESP,Spain,M,Silver +Beijing,2008,Hockey,Hockey,hockey,"TANG, Chunling",Women,CHN,China,W,Silver +Beijing,2008,Hockey,Hockey,hockey,"FABREGAS, Alex",Men,ESP,Spain,M,Silver +Beijing,2008,Hockey,Hockey,hockey,"WESS, Benjamin",Men,GER,Germany,M,Gold +Beijing,2008,Hockey,Hockey,hockey,"BIEDERLACK, Sebastian",Men,GER,Germany,M,Gold +Beijing,2008,Hockey,Hockey,hockey,"KAVANAGH, Fergus",Men,AUS,Australia,M,Bronze +Beijing,2008,Hockey,Hockey,hockey,"HUANG, Junxia",Women,CHN,China,W,Silver +Beijing,2008,Hockey,Hockey,hockey,"NEVADO, Carlos",Men,GER,Germany,M,Gold +Beijing,2008,Hockey,Hockey,hockey,"MATHESON, Eli",Men,AUS,Australia,M,Bronze +Beijing,2008,Hockey,Hockey,hockey,"PAUMEN, Maartje",Women,NED,Netherlands,W,Gold +Beijing,2008,Hockey,Hockey,hockey,"ZHAO, Yudiao",Women,CHN,China,W,Silver +Beijing,2008,Hockey,Hockey,hockey,"FABREGAS, Francisco",Men,ESP,Spain,M,Silver +Beijing,2008,Hockey,Hockey,hockey,"ABBOTT, Des",Men,AUS,Australia,M,Bronze +Beijing,2008,Hockey,Hockey,hockey,"ALEGRE, David",Men,ESP,Spain,M,Silver +Beijing,2008,Hockey,Hockey,hockey,"GARCIA, Agustina",Women,ARG,Argentina,W,Bronze +Beijing,2008,Hockey,Hockey,hockey,"FUERSTE, Moritz",Men,GER,Germany,M,Gold +Beijing,2008,Hockey,Hockey,hockey,"VAN GEENHUIZEN, Miek",Women,NED,Netherlands,W,Gold +Beijing,2008,Hockey,Hockey,hockey,"CHEN, Qiuqi",Women,CHN,China,W,Silver +Beijing,2008,Hockey,Hockey,hockey,"WITTE, Philip",Men,GER,Germany,M,Gold +Beijing,2008,Hockey,Hockey,hockey,"CHEN, Zhaoxia",Women,CHN,China,W,Silver +Beijing,2008,Hockey,Hockey,hockey,"AYMAR, Luciana",Women,ARG,Argentina,W,Bronze +Beijing,2008,Hockey,Hockey,hockey,"MARGALOT, Mercedes",Women,ARG,Argentina,W,Bronze +Beijing,2008,Hockey,Hockey,hockey,"BROOKS, Travis",Men,AUS,Australia,M,Bronze +Beijing,2008,Hockey,Hockey,hockey,"SALA, Albert",Men,ESP,Spain,M,Silver +Beijing,2008,Hockey,Hockey,hockey,"GUEST, David",Men,AUS,Australia,M,Bronze +Beijing,2008,Hockey,Hockey,hockey,"ZHANG, Yimeng",Women,CHN,China,W,Silver +Beijing,2008,Hockey,Hockey,hockey,"HAUKE, Tobias",Men,GER,Germany,M,Gold +Beijing,2008,Hockey,Hockey,hockey,"ENRIQUE, Sergi",Men,ESP,Spain,M,Silver +Beijing,2008,Hockey,Hockey,hockey,"KORN, Oliver",Men,GER,Germany,M,Gold +Beijing,2008,Hockey,Hockey,hockey,"KELLER, Florian",Men,GER,Germany,M,Gold +Beijing,2008,Hockey,Hockey,hockey,"FREIXA, Santiago",Men,ESP,Spain,M,Silver +Beijing,2008,Hockey,Hockey,hockey,"SCHOPMAN, Janneke",Women,NED,Netherlands,W,Gold +Beijing,2008,Hockey,Hockey,hockey,"BARRIONUEVO, Noel",Women,ARG,Argentina,W,Bronze +Beijing,2008,Hockey,Hockey,hockey,"MULDER, Eefke",Women,NED,Netherlands,W,Gold +Beijing,2008,Hockey,Hockey,hockey,"ARBOS, Eduard",Men,ESP,Spain,M,Silver +Beijing,2008,Hockey,Hockey,hockey,"WESS, Timo",Men,GER,Germany,M,Gold +Beijing,2008,Hockey,Hockey,hockey,"MEINERT, Niklas",Men,GER,Germany,M,Gold +Beijing,2008,Hockey,Hockey,hockey,"RUSSO, Marine",Women,ARG,Argentina,W,Bronze +Beijing,2008,Hockey,Hockey,hockey,"PAN, Fengzhen",Women,CHN,China,W,Silver +Beijing,2008,Hockey,Hockey,hockey,"CHENG, Hui",Women,CHN,China,W,Silver +Beijing,2008,Hockey,Hockey,hockey,"VAN AS, Naomi",Women,NED,Netherlands,W,Gold +Beijing,2008,Hockey,Hockey,hockey,"MONTAG, Jan-Marco",Men,GER,Germany,M,Gold +Beijing,2008,Hockey,Hockey,hockey,"SMITH, Andrew",Men,AUS,Australia,M,Bronze +Beijing,2008,Hockey,Hockey,hockey,"OLIVA, Roc",Men,ESP,Spain,M,Silver +Beijing,2008,Hockey,Hockey,hockey,"WEISSENBORN, Tibor",Men,GER,Germany,M,Gold +Beijing,2008,Hockey,Hockey,hockey,"SMABERS, Minke",Women,NED,Netherlands,W,Gold +Beijing,2008,Hockey,Hockey,hockey,"HOOG, Ellen",Women,NED,Netherlands,W,Gold +Beijing,2008,Hockey,Hockey,hockey,"TUBAU, Eduard",Men,ESP,Spain,M,Silver +Beijing,2008,Hockey,Hockey,hockey,"DOERNER, Luke",Men,AUS,Australia,M,Bronze +Beijing,2008,Hockey,Hockey,hockey,"HAMMOND, Rob",Men,AUS,Australia,M,Bronze +Beijing,2008,Hockey,Hockey,hockey,"RIBAS, Xavier",Men,ESP,Spain,M,Silver +Beijing,2008,Hockey,Hockey,hockey,"GULLA, Alejandra",Women,ARG,Argentina,W,Bronze +Beijing,2008,Hockey,Hockey,hockey,"BROWN, Kiel",Men,AUS,Australia,M,Bronze +Beijing,2008,Hockey,Hockey,hockey,"LAMBERT, Stephen",Men,AUS,Australia,M,Bronze +Beijing,2008,Hockey,Hockey,hockey,"KANEVSKY, Giselle",Women,ARG,Argentina,W,Bronze +Beijing,2008,Hockey,Hockey,hockey,"AICEGA, Magdalena",Women,ARG,Argentina,W,Bronze +Beijing,2008,Hockey,Hockey,hockey,"AGLIOTTI, Marilyn",Women,NED,Netherlands,W,Gold +Beijing,2008,Judo,Judo,60 - 66kg (half-lightweight),"UCHISHIBA, Masato",Men,JPN,Japan,M,Gold +Beijing,2008,Judo,Judo,57 - 63kg (half-middleweight),"DECOSSE, Lucie",Women,FRA,France,W,Silver +Beijing,2008,Judo,Judo,81 - 90kg (middleweight),"BENIKHLEF, Amar",Men,ALG,Algeria,M,Silver +Beijing,2008,Judo,Judo,81 - 90kg (middleweight),"TSIREKIDZE, Irakli",Men,GEO,Georgia,M,Gold +Beijing,2008,Judo,Judo,48 - 52kg (half-lightweight),"NAKAMURA, Misato",Women,JPN,Japan,W,Bronze +Beijing,2008,Judo,Judo,52 - 57kg (lightweight),"QUINTAVALLE, Giulia",Women,ITA,Italy,W,Gold +Beijing,2008,Judo,Judo,+ 78kg (heavyweight),"ORTIZ, Idalys",Women,CUB,Cuba,W,Bronze +Beijing,2008,Judo,Judo,52 - 57kg (lightweight),"GRAVENSTIJN, Deborah",Women,NED,Netherlands,W,Silver +Beijing,2008,Judo,Judo,- 48 kg,"BERMOY, Yanet",Women,CUB,Cuba,W,Silver +Beijing,2008,Judo,Judo,73 - 81kg (half-middleweight),"GONTIUK, Roman",Men,UKR,Ukraine,M,Bronze +Beijing,2008,Judo,Judo,- 48 kg,"TANI, Ryoko",Women,JPN,Japan,W,Bronze +Beijing,2008,Judo,Judo,90 - 100kg (half-heavyweight),"GROL, Henk",Men,NED,Netherlands,M,Bronze +Beijing,2008,Judo,Judo,60 - 66kg (half-lightweight),"DARBELET, Benjamin",Men,FRA,France,M,Silver +Beijing,2008,Judo,Judo,- 48 kg,"PARETO, Paula Belen",Women,ARG,Argentina,W,Bronze +Beijing,2008,Judo,Judo,66 - 73kg (lightweight),"WANG, Kichun",Men,KOR,"Korea, South",M,Silver +Beijing,2008,Judo,Judo,48 - 52kg (half-lightweight),"HADDAD, Soraya",Women,ALG,Algeria,W,Bronze +Beijing,2008,Judo,Judo,63 - 70kg (middleweight),"ROUSEY, Ronda",Women,USA,United States,W,Bronze +Beijing,2008,Judo,Judo,81 - 90kg (middleweight),"MESBAH, Hesham",Men,EGY,Egypt,M,Bronze +Beijing,2008,Judo,Judo,60 - 66kg (half-lightweight),"PAK, Chol Min",Men,PRK,"Korea, North",M,Bronze +Beijing,2008,Judo,Judo,90 - 100kg (half-heavyweight),"NAIDAN, Tuvshinbayar",Men,MGL,Mongolia,M,Gold +Beijing,2008,Judo,Judo,- 60 kg,"PAISCHER, Ludwig",Men,AUT,Austria,M,Silver +Beijing,2008,Judo,Judo,66 - 73kg (lightweight),"BOQIEV, Rasul",Men,TJK,Tajikistan,M,Bronze +Beijing,2008,Judo,Judo,73 - 81kg (half-middleweight),"CAMILO, Tiago",Men,BRA,Brazil,M,Bronze +Beijing,2008,Judo,Judo,90 - 100kg (half-heavyweight),"MIRALIYEV, Movlud",Men,AZE,Azerbaijan,M,Bronze +Beijing,2008,Judo,Judo,73 - 81kg (half-middleweight),"KIM, Jaebum",Men,KOR,"Korea, South",M,Silver +Beijing,2008,Judo,Judo,66 - 73kg (lightweight),"MAMMADLI, Elnur",Men,AZE,Azerbaijan,M,Gold +Beijing,2008,Judo,Judo,81 - 90kg (middleweight),"ASCHWANDEN, Sergei",Men,SUI,Switzerland,M,Bronze +Beijing,2008,Judo,Judo,- 60 kg,"CHOI, Minho",Men,KOR,"Korea, South",M,Gold +Beijing,2008,Judo,Judo,+ 100kg (heavyweight),"TANGRIEV, Abdullo",Men,UZB,Uzbekistan,M,Silver +Beijing,2008,Judo,Judo,52 - 57kg (lightweight),"XU, Yan",Women,CHN,China,W,Bronze +Beijing,2008,Judo,Judo,63 - 70kg (middleweight),"HERNANDEZ, Anaysi",Women,CUB,Cuba,W,Silver +Beijing,2008,Judo,Judo,- 60 kg,"SOBIROV, Rishod",Men,UZB,Uzbekistan,M,Bronze +Beijing,2008,Judo,Judo,- 48 kg,"DUMITRU, Alina Alexandra",Women,ROU,Romania,W,Gold +Beijing,2008,Judo,Judo,73 - 81kg (half-middleweight),"BISCHOF, Ole",Men,GER,Germany,M,Gold +Beijing,2008,Judo,Judo,57 - 63kg (half-middleweight),"TANIMOTO, Ayumi",Women,JPN,Japan,W,Gold +Beijing,2008,Judo,Judo,+ 100kg (heavyweight),"ISHII, Satoshi",Men,JPN,Japan,M,Gold +Beijing,2008,Judo,Judo,+ 100kg (heavyweight),"RINER, Teddy",Men,FRA,France,M,Bronze +Beijing,2008,Judo,Judo,70 - 78kg (half-heavyweight),"CASTILLO, Yalennis",Women,CUB,Cuba,W,Silver +Beijing,2008,Judo,Judo,70 - 78kg (half-heavyweight),"YANG, Xiuli",Women,CHN,China,W,Gold +Beijing,2008,Judo,Judo,57 - 63kg (half-middleweight),"WON, Ok Im",Women,PRK,"Korea, North",W,Bronze +Beijing,2008,Judo,Judo,66 - 73kg (lightweight),"GUILHEIRO, Leandro",Men,BRA,Brazil,M,Bronze +Beijing,2008,Judo,Judo,+ 78kg (heavyweight),"TONG, Wen",Women,CHN,China,W,Gold +Beijing,2008,Judo,Judo,52 - 57kg (lightweight),"QUADROS, Ketleyn",Women,BRA,Brazil,W,Bronze +Beijing,2008,Judo,Judo,- 60 kg,"HOUKES, Ruben",Men,NED,Netherlands,M,Bronze +Beijing,2008,Judo,Judo,90 - 100kg (half-heavyweight),"ZHITKEYEV, Askhat",Men,KAZ,Kazakhstan,M,Silver +Beijing,2008,Judo,Judo,70 - 78kg (half-heavyweight),"JEONG, Gyeongmi",Women,KOR,"Korea, South",W,Bronze +Beijing,2008,Judo,Judo,70 - 78kg (half-heavyweight),"POSSAMAI, Stephanie",Women,FRA,France,W,Bronze +Beijing,2008,Judo,Judo,+ 100kg (heavyweight),"BRAYSON, Oscar",Men,CUB,Cuba,M,Bronze +Beijing,2008,Judo,Judo,60 - 66kg (half-lightweight),"ARENCIBIA, Yordanis",Men,CUB,Cuba,M,Bronze +Beijing,2008,Judo,Judo,48 - 52kg (half-lightweight),"AN, Kum Ae",Women,PRK,"Korea, North",W,Silver +Beijing,2008,Judo,Judo,+ 78kg (heavyweight),"POLAVDER, Lucija",Women,SLO,Slovenia,W,Bronze +Beijing,2008,Judo,Judo,+ 78kg (heavyweight),"TSUKADA, Maki",Women,JPN,Japan,W,Silver +Beijing,2008,Judo,Judo,63 - 70kg (middleweight),"UENO, Masae",Women,JPN,Japan,W,Gold +Beijing,2008,Judo,Judo,48 - 52kg (half-lightweight),"XIAN, Dongmei",Women,CHN,China,W,Gold +Beijing,2008,Judo,Judo,57 - 63kg (half-middleweight),"WILLEBOORDSE, Elisabeth",Women,NED,Netherlands,W,Bronze +Beijing,2008,Judo,Judo,63 - 70kg (middleweight),"BOSCH, Edith",Women,NED,Netherlands,W,Bronze +Beijing,2008,Modern Pentathlon,Modern Pentath.,Individual competition,"KRUNGOLCAS, Edvinas",Men,LTU,Lithuania,M,Silver +Beijing,2008,Modern Pentathlon,Modern Pentath.,Individual competition,"TERESHUK, Victoria",Women,UKR,Ukraine,W,Bronze +Beijing,2008,Modern Pentathlon,Modern Pentath.,Individual competition,"SCHONEBORN, Lena",Women,GER,Germany,W,Gold +Beijing,2008,Modern Pentathlon,Modern Pentath.,Individual competition,"ZADNEPROVSKIS, Andrejus",Men,LTU,Lithuania,M,Bronze +Beijing,2008,Modern Pentathlon,Modern Pentath.,Individual competition,"MOISEEV, Andrey",Men,RUS,Russia,M,Gold +Beijing,2008,Modern Pentathlon,Modern Pentath.,Individual competition,"FELL, Heather",Women,GBR,United Kingdom,W,Silver +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"CUMMINS, Anne",Women,USA,United States,W,Gold +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"VAN RUMPT, Annemarieke",Women,NED,Netherlands,W,Silver +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"COPPOLA, Steven",Men,USA,United States,M,Bronze +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"VOLPENHEIN, Bryan",Men,USA,United States,M,Bronze +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"BARABAS, Eniko",Women,ROU,Romania,W,Bronze +Beijing,2008,Rowing,Rowing,double sculls (2x),"THIELE, Annekatrin",Women,GER,Germany,W,Silver +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"DE HAAN, Annemiek",Women,NED,Netherlands,W,Silver +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"SUSANU, Viorica",Women,ROU,Romania,W,Bronze +Beijing,2008,Rowing,Rowing,four without coxswain (4-),"MORTELETTE, Dorian",Men,FRA,France,M,Bronze +Beijing,2008,Rowing,Rowing,single sculls (1x),"NEYKOVA, Rumyana",Women,BUL,Bulgaria,W,Gold +Beijing,2008,Rowing,Rowing,quadruple sculls without coxswain (4x),"COEFFIC, Jonathan",Men,FRA,France,M,Bronze +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"IGNAT, Doina",Women,ROU,Romania,W,Bronze +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"SHOOP, Lindsay",Women,USA,United States,W,Gold +Beijing,2008,Rowing,Rowing,double sculls (2x),"LAVERICK, Elise",Women,GBR,United Kingdom,W,Bronze +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"SEITERLE, Dominic",Men,CAN,Canada,M,Gold +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"SIEGELAAR, Sarah",Women,NED,Netherlands,W,Silver +Beijing,2008,Rowing,Rowing,pair without coxswain (2-),"SUSANU, Viorica",Women,ROU,Romania,W,Gold +Beijing,2008,Rowing,Rowing,lightweight double sculls (2x),"KOK, Melanie",Women,CAN,Canada,W,Bronze +Beijing,2008,Rowing,Rowing,double sculls (2x),"JAANSON, Juri",Men,EST,Estonia,M,Silver +Beijing,2008,Rowing,Rowing,lightweight coxless four (4-),"PAWLOWSKI, Lukasz",Men,POL,Poland,M,Silver +Beijing,2008,Rowing,Rowing,four without coxswain (4-),"RONDEAU, Benjamin",Men,FRA,France,M,Bronze +Beijing,2008,Rowing,Rowing,quadruple sculls without coxswain (4x),"KOLBOWICZ, Marek",Men,POL,Poland,M,Gold +Beijing,2008,Rowing,Rowing,four without coxswain (4-),"TRIGGS HODGE, Andrew",Men,GBR,United Kingdom,M,Gold +Beijing,2008,Rowing,Rowing,lightweight double sculls (2x),"VAN DER KOLK, Kirsten",Women,NED,Netherlands,W,Gold +Beijing,2008,Rowing,Rowing,quadruple sculls without coxswain (4x),"PELTIER, Pierre-Jean",Men,FRA,France,M,Bronze +Beijing,2008,Rowing,Rowing,lightweight double sculls (2x),"STEN, Sanna",Women,FIN,Finland,W,Silver +Beijing,2008,Rowing,Rowing,single sculls (1x),"DRYSDALE, Mahe",Men,NZL,New Zealand,M,Bronze +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"LUCY, Tom",Men,GBR,United Kingdom,M,Silver +Beijing,2008,Rowing,Rowing,quadruple sculls without coxswain (4x),"ZHANG, Yangyang",Women,CHN,China,W,Gold +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"FRANCIA, Susan",Women,USA,United States,W,Gold +Beijing,2008,Rowing,Rowing,lightweight double sculls (2x),"RASMUSSEN, Mads Reinholdt",Men,DEN,Denmark,M,Bronze +Beijing,2008,Rowing,Rowing,lightweight coxless four (4-),"RANDA, Pawel",Men,POL,Poland,M,Silver +Beijing,2008,Rowing,Rowing,lightweight double sculls (2x),"CAMERON, Tracy",Women,CAN,Canada,W,Bronze +Beijing,2008,Rowing,Rowing,quadruple sculls without coxswain (4x),"FLOOD, Debbie",Women,GBR,United Kingdom,W,Silver +Beijing,2008,Rowing,Rowing,coxless pair (2-),"TWADDLE, Nathan",Men,NZL,New Zealand,M,Bronze +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"TANGER, Helen",Women,NED,Netherlands,W,Silver +Beijing,2008,Rowing,Rowing,double sculls (2x),"CRAWSHAY, David",Men,AUS,Australia,M,Gold +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"PAPUC, Ioana Cristina",Women,ROU,Romania,W,Bronze +Beijing,2008,Rowing,Rowing,quadruple sculls without coxswain (4x),"JIN, Ziwei",Women,CHN,China,W,Gold +Beijing,2008,Rowing,Rowing,lightweight coxless four (4-),"ANDERSEN, Mads Christian Kruse",Men,DEN,Denmark,M,Gold +Beijing,2008,Rowing,Rowing,lightweight double sculls (2x),"NIEMINEN, Minna",Women,FIN,Finland,W,Silver +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"EGINGTON, Richard",Men,GBR,United Kingdom,M,Silver +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"GEORGESCU, Elena",Women,ROU,Romania,W,Bronze +Beijing,2008,Rowing,Rowing,double sculls (2x),"EVERS-SWINDELL, Georgina",Women,NZL,New Zealand,W,Gold +Beijing,2008,Rowing,Rowing,four without coxswain (4-),"DESPRES, Julien",Men,FRA,France,M,Bronze +Beijing,2008,Rowing,Rowing,four without coxswain (4-),"HEGERTY, Francis",Men,AUS,Australia,M,Silver +Beijing,2008,Rowing,Rowing,lightweight coxless four (4-),"PAWELCZAK, Bartlomiej",Men,POL,Poland,M,Silver +Beijing,2008,Rowing,Rowing,lightweight coxless four (4-),"BEARE, Jon",Men,CAN,Canada,M,Bronze +Beijing,2008,Rowing,Rowing,lightweight coxless four (4-),"BERNATAJTYS, Milosz",Men,POL,Poland,M,Silver +Beijing,2008,Rowing,Rowing,four without coxswain (4-),"CHARDIN, Germain",Men,FRA,France,M,Bronze +Beijing,2008,Rowing,Rowing,four without coxswain (4-),"MCKENZIE-MCHARG, Cameron",Men,AUS,Australia,M,Silver +Beijing,2008,Rowing,Rowing,coxless pair (2-),"CALDER, David",Men,CAN,Canada,M,Silver +Beijing,2008,Rowing,Rowing,pair without coxswain (2-),"BICHYK, Yuliya",Women,BLR,Belarus,W,Bronze +Beijing,2008,Rowing,Rowing,lightweight double sculls (2x),"HUNTER, Mark",Men,GBR,United Kingdom,M,Gold +Beijing,2008,Rowing,Rowing,double sculls (2x),"WELLS, Matthew",Men,GBR,United Kingdom,M,Bronze +Beijing,2008,Rowing,Rowing,quadruple sculls without coxswain (4x),"OPPELT, Britta",Women,GER,Germany,W,Bronze +Beijing,2008,Rowing,Rowing,lightweight double sculls (2x),"MOUGIOS, Dimitrios",Men,GRE,Greece,M,Silver +Beijing,2008,Rowing,Rowing,pair without coxswain (2-),"GAO, Yulan",Women,CHN,China,W,Silver +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"SMITH, Colin",Men,GBR,United Kingdom,M,Silver +Beijing,2008,Rowing,Rowing,lightweight double sculls (2x),"VAN EUPEN, Marit",Women,NED,Netherlands,W,Gold +Beijing,2008,Rowing,Rowing,lightweight coxless four (4-),"BRAMBELL, Iain",Men,CAN,Canada,M,Bronze +Beijing,2008,Rowing,Rowing,quadruple sculls without coxswain (4x),"LUTZE, Manuela",Women,GER,Germany,W,Bronze +Beijing,2008,Rowing,Rowing,pair without coxswain (2-),"ANDRUNACHE, Georgeta",Women,ROU,Romania,W,Gold +Beijing,2008,Rowing,Rowing,quadruple sculls without coxswain (4x),"VERNON, Annie",Women,GBR,United Kingdom,W,Silver +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"HOOPMAN, Beau",Men,USA,United States,M,Bronze +Beijing,2008,Rowing,Rowing,lightweight coxless four (4-),"EBERT, Thomas",Men,DEN,Denmark,M,Gold +Beijing,2008,Rowing,Rowing,single sculls (1x),"GUERETTE, Michelle",Women,USA,United States,W,Silver +Beijing,2008,Rowing,Rowing,coxless pair (2-),"BRIDGEWATER, George",Men,NZL,New Zealand,M,Bronze +Beijing,2008,Rowing,Rowing,quadruple sculls without coxswain (4x),"WASIELEWSKI, Konrad",Men,POL,Poland,M,Gold +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"ANDRUNACHE, Georgeta",Women,ROU,Romania,W,Bronze +Beijing,2008,Rowing,Rowing,quadruple sculls without coxswain (4x),"GALTAROSSA, Rossano",Men,ITA,Italy,M,Silver +Beijing,2008,Rowing,Rowing,four without coxswain (4-),"RYAN, Matt",Men,AUS,Australia,M,Silver +Beijing,2008,Rowing,Rowing,double sculls (2x),"EVERS-SWINDELL, Caroline",Women,NZL,New Zealand,W,Gold +Beijing,2008,Rowing,Rowing,quadruple sculls without coxswain (4x),"TANG, Bin",Women,CHN,China,W,Gold +Beijing,2008,Rowing,Rowing,coxless pair (2-),"FREE, Duncan",Men,AUS,Australia,M,Gold +Beijing,2008,Rowing,Rowing,quadruple sculls without coxswain (4x),"HOUGHTON, Frances",Women,GBR,United Kingdom,W,Silver +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"BOYD, Micah",Men,USA,United States,M,Bronze +Beijing,2008,Rowing,Rowing,quadruple sculls without coxswain (4x),"AGAMENNONI, Luca",Men,ITA,Italy,M,Silver +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"DAVIES, Caryn",Women,USA,United States,W,Gold +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"WHIPPLE, Mary",Women,USA,United States,W,Gold +Beijing,2008,Rowing,Rowing,quadruple sculls without coxswain (4x),"RAINERI, Simone",Men,ITA,Italy,M,Silver +Beijing,2008,Rowing,Rowing,double sculls (2x),"ENDREKSON, Tonu",Men,EST,Estonia,M,Silver +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"INMAN, Josh",Men,USA,United States,M,Bronze +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"LOGAN, Elle",Women,USA,United States,W,Gold +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"ALLEN, Wyatt",Men,USA,United States,M,Bronze +Beijing,2008,Rowing,Rowing,coxless pair (2-),"GINN, Drew",Men,AUS,Australia,M,Gold +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"MC ELHENNEY, Marcus",Men,USA,United States,M,Bronze +Beijing,2008,Rowing,Rowing,lightweight coxless four (4-),"PARSONS, Liam",Men,CAN,Canada,M,Bronze +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"NETHERCOTT, Acer",Men,GBR,United Kingdom,M,Silver +Beijing,2008,Rowing,Rowing,lightweight coxless four (4-),"JOERGENSEN, Morten",Men,DEN,Denmark,M,Gold +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"SCHNOBRICH, Matt",Men,USA,United States,M,Bronze +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"PARTRIDGE, Alex",Men,GBR,United Kingdom,M,Silver +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"CAFARO, Erin",Women,USA,United States,W,Gold +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"HAMILTON, Kyle",Men,CAN,Canada,M,Gold +Beijing,2008,Rowing,Rowing,double sculls (2x),"BRENNAN, Scott",Men,AUS,Australia,M,Gold +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"BYRNES, Andrew",Men,CAN,Canada,M,Gold +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"WEST, Josh",Men,GBR,United Kingdom,M,Silver +Beijing,2008,Rowing,Rowing,quadruple sculls without coxswain (4x),"KOROL, Adam",Men,POL,Poland,M,Gold +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"DEKKER, Femke",Women,NED,Netherlands,W,Silver +Beijing,2008,Rowing,Rowing,lightweight double sculls (2x),"POLYMEROS, Vasileios",Men,GRE,Greece,M,Silver +Beijing,2008,Rowing,Rowing,quadruple sculls without coxswain (4x),"JELINSKI, Michal",Men,POL,Poland,M,Gold +Beijing,2008,Rowing,Rowing,quadruple sculls without coxswain (4x),"SCHILLER, Stephanie",Women,GER,Germany,W,Bronze +Beijing,2008,Rowing,Rowing,quadruple sculls without coxswain (4x),"BERREST, Cedric",Men,FRA,France,M,Bronze +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"RUTLEDGE, Ben",Men,CAN,Canada,M,Gold +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"HEATHCOTE, Alastair",Men,GBR,United Kingdom,M,Silver +Beijing,2008,Rowing,Rowing,lightweight coxless four (4-),"EBBESEN, Eskild Balschmidt",Men,DEN,Denmark,M,Gold +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"PRICE, Brian",Men,CAN,Canada,M,Gold +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"KREEK, Adam",Men,CAN,Canada,M,Gold +Beijing,2008,Rowing,Rowing,double sculls (2x),"BEBINGTON, Anna",Women,GBR,United Kingdom,W,Bronze +Beijing,2008,Rowing,Rowing,four without coxswain (4-),"REED, Pete",Men,GBR,United Kingdom,M,Gold +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"SERBAN, Rodica Maria",Women,ROU,Romania,W,Bronze +Beijing,2008,Rowing,Rowing,single sculls (1x),"TUFTE, Olaf",Men,NOR,Norway,M,Gold +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"REPELAER VAN DRIEL, Roline",Women,NED,Netherlands,W,Silver +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"SMULDERS, Marlies",Women,NED,Netherlands,W,Silver +Beijing,2008,Rowing,Rowing,quadruple sculls without coxswain (4x),"BORON, Kathrin",Women,GER,Germany,W,Bronze +Beijing,2008,Rowing,Rowing,quadruple sculls without coxswain (4x),"VENIER, Simone",Men,ITA,Italy,M,Silver +Beijing,2008,Rowing,Rowing,lightweight double sculls (2x),"PURCHASE, Zac",Men,GBR,United Kingdom,M,Gold +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"MUSAT, Simona Dumitrita",Women,ROU,Romania,W,Bronze +Beijing,2008,Rowing,Rowing,quadruple sculls without coxswain (4x),"GRAINGER, Katherine",Women,GBR,United Kingdom,W,Silver +Beijing,2008,Rowing,Rowing,four without coxswain (4-),"WILLIAMS, Steve",Men,GBR,United Kingdom,M,Gold +Beijing,2008,Rowing,Rowing,quadruple sculls without coxswain (4x),"BAHAIN, Julien",Men,FRA,France,M,Bronze +Beijing,2008,Rowing,Rowing,quadruple sculls without coxswain (4x),"XI, Aihua",Women,CHN,China,W,Gold +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"BURCICA, Constanta",Women,ROU,Romania,W,Bronze +Beijing,2008,Rowing,Rowing,lightweight coxless four (4-),"LEWIS, Mike",Men,CAN,Canada,M,Bronze +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"HOWARD, Malcolm",Men,CAN,Canada,M,Gold +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"WALSH, Daniel",Men,USA,United States,M,Bronze +Beijing,2008,Rowing,Rowing,four without coxswain (4-),"JAMES, Tom",Men,GBR,United Kingdom,M,Gold +Beijing,2008,Rowing,Rowing,coxless pair (2-),"FRANDSEN, Scott",Men,CAN,Canada,M,Silver +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"LANGRIDGE, Matt",Men,GBR,United Kingdom,M,Silver +Beijing,2008,Rowing,Rowing,double sculls (2x),"ROWBOTHAM, Stephen",Men,GBR,United Kingdom,M,Bronze +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"WETZEL, Jake",Men,CAN,Canada,M,Gold +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"WORKEL, Ester",Women,NED,Netherlands,W,Silver +Beijing,2008,Rowing,Rowing,double sculls (2x),"HUTH, Christiane",Women,GER,Germany,W,Silver +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"KINGMA, Nienke",Women,NED,Netherlands,W,Silver +Beijing,2008,Rowing,Rowing,pair without coxswain (2-),"WU, You",Women,CHN,China,W,Silver +Beijing,2008,Rowing,Rowing,single sculls (1x),"SYNEK, Ondrej",Men,CZE,Czech Republic,M,Silver +Beijing,2008,Rowing,Rowing,four without coxswain (4-),"MARBURG, James",Men,AUS,Australia,M,Silver +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"GOODALE, Anna",Women,USA,United States,W,Gold +Beijing,2008,Rowing,Rowing,lightweight double sculls (2x),"HANSEN, Rasmus Nicholai Quist",Men,DEN,Denmark,M,Bronze +Beijing,2008,Rowing,Rowing,pair without coxswain (2-),"HELAKH, Natallia",Women,BLR,Belarus,W,Bronze +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"STALLARD, Tom",Men,GBR,United Kingdom,M,Silver +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"LIND, Caroline",Women,USA,United States,W,Gold +Beijing,2008,Rowing,Rowing,eight with coxswain (8+),"LIGHT, Kevin",Men,CAN,Canada,M,Gold +Beijing,2008,Rowing,Rowing,single sculls (1x),"KARSTEN, Ekaterina",Women,BLR,Belarus,W,Bronze +Beijing,2008,Sailing,Sailing,470 - Two Person Dinghy,"WILMOT, Nathan",Men,AUS,Australia,M,Gold +Beijing,2008,Sailing,Sailing,470 - Two Person Dinghy,"SWAN, Isabel",Women,BRA,Brazil,W,Bronze +Beijing,2008,Sailing,Sailing,470 - Two Person Dinghy,"GLANFIELD, Joe",Men,GBR,United Kingdom,M,Silver +Beijing,2008,Sailing,Sailing,470 - Two Person Dinghy,"PARKINSON, Tessa",Women,AUS,Australia,W,Gold +Beijing,2008,Sailing,Sailing,Yngling - Keelboat,"BES, Annemieke",Women,NED,Netherlands,W,Silver +Beijing,2008,Sailing,Sailing,Tornado - Multihull,"BUNDOCK, Darren",Men,AUS,Australia,X,Silver +Beijing,2008,Sailing,Sailing,Tornado - Multihull,"ECHAVARRI, Fernando",Men,ESP,Spain,X,Gold +Beijing,2008,Sailing,Sailing,Laser Radial - One Person Dinghy,"TUNNICLIFFE, Anna",Women,USA,United States,W,Gold +Beijing,2008,Sailing,Sailing,Laser Radial - One Person Dinghy,"XU, Lijia",Women,CHN,China,W,Bronze +Beijing,2008,Sailing,Sailing,Yngling - Keelboat,"PAPADOPOULOU, Sofia",Women,GRE,Greece,W,Bronze +Beijing,2008,Sailing,Sailing,Star - Keelboat,"SCHEIDT, Robert",Men,BRA,Brazil,M,Silver +Beijing,2008,Sailing,Sailing,Finn - Heavyweight Dinghy,"RAILEY, Zach",Men,USA,United States,X,Silver +Beijing,2008,Sailing,Sailing,Yngling - Keelboat,"WITTEVEEN, Merel",Women,NED,Netherlands,W,Silver +Beijing,2008,Sailing,Sailing,Yngling - Keelboat,"WILSON, Pippa",Women,GBR,United Kingdom,W,Gold +Beijing,2008,Sailing,Sailing,470 - Two Person Dinghy,"BAUSSET, Olivier",Men,FRA,France,M,Bronze +Beijing,2008,Sailing,Sailing,49er - Skiff,"IBSEN, Martin Kirketerp",Men,DEN,Denmark,X,Gold +Beijing,2008,Sailing,Sailing,49er - Skiff,"PECKOLT, Jan Peter",Men,GER,Germany,X,Bronze +Beijing,2008,Sailing,Sailing,Laser - One Person Dinghy,"ZBOGAR, Vasilij",Men,SLO,Slovenia,M,Silver +Beijing,2008,Sailing,Sailing,470 - Two Person Dinghy,"CHARBONNIER, Nicolas",Men,FRA,France,M,Bronze +Beijing,2008,Sailing,Sailing,Yngling - Keelboat,"MULDER, Mandy",Women,NED,Netherlands,W,Silver +Beijing,2008,Sailing,Sailing,RS:X - Windsurfer,"BONTEMPS, Julien",Men,FRA,France,M,Silver +Beijing,2008,Sailing,Sailing,RS:X - Windsurfer,"YIN, Jian",Women,CHN,China,W,Gold +Beijing,2008,Sailing,Sailing,49er - Skiff,"MARTINEZ DE LIZARDUY, Iker",Men,ESP,Spain,X,Silver +Beijing,2008,Sailing,Sailing,Star - Keelboat,"SIMPSON, Andrew",Men,GBR,United Kingdom,M,Gold +Beijing,2008,Sailing,Sailing,470 - Two Person Dinghy,"RECHICHI, Elise",Women,AUS,Australia,W,Gold +Beijing,2008,Sailing,Sailing,Laser Radial - One Person Dinghy,"VOLUNGEVICIUTE, Gintare",Women,LTU,Lithuania,W,Silver +Beijing,2008,Sailing,Sailing,Finn - Heavyweight Dinghy,"AINSLIE, Ben",Men,GBR,United Kingdom,X,Gold +Beijing,2008,Sailing,Sailing,Tornado - Multihull,"ASHBY, Glenn",Men,AUS,Australia,X,Silver +Beijing,2008,Sailing,Sailing,RS:X - Windsurfer,"SENSINI, Alessandra",Women,ITA,Italy,W,Silver +Beijing,2008,Sailing,Sailing,RS:X - Windsurfer,"SHAW, Bryony",Women,GBR,United Kingdom,W,Bronze +Beijing,2008,Sailing,Sailing,Star - Keelboat,"PERCY, Iain",Men,GBR,United Kingdom,M,Gold +Beijing,2008,Sailing,Sailing,Tornado - Multihull,"ESPINOLA, Carlos",Men,ARG,Argentina,X,Bronze +Beijing,2008,Sailing,Sailing,RS:X - Windsurfer,"ZUBARI, Shahar",Men,ISR,Israel,M,Bronze +Beijing,2008,Sailing,Sailing,470 - Two Person Dinghy,"ROGERS, Nick",Men,GBR,United Kingdom,M,Silver +Beijing,2008,Sailing,Sailing,Laser - One Person Dinghy,"ROMERO, Diego",Men,ITA,Italy,M,Bronze +Beijing,2008,Sailing,Sailing,Finn - Heavyweight Dinghy,"FLORENT, Guillaume",Men,FRA,France,X,Bronze +Beijing,2008,Sailing,Sailing,Yngling - Keelboat,"KRAVARIOTI, Virginia",Women,GRE,Greece,W,Bronze +Beijing,2008,Sailing,Sailing,Yngling - Keelboat,"BEKATOROU, Sofia",Women,GRE,Greece,W,Bronze +Beijing,2008,Sailing,Sailing,Yngling - Keelboat,"WEBB, Sarah",Women,GBR,United Kingdom,W,Gold +Beijing,2008,Sailing,Sailing,Star - Keelboat,"PRADA, Bruno",Men,BRA,Brazil,M,Silver +Beijing,2008,Sailing,Sailing,470 - Two Person Dinghy,"OLIVEIRA, Fernanda",Women,BRA,Brazil,W,Bronze +Beijing,2008,Sailing,Sailing,Yngling - Keelboat,"AYTON, Sarah",Women,GBR,United Kingdom,W,Gold +Beijing,2008,Sailing,Sailing,RS:X - Windsurfer,"ASHLEY, Tom",Men,NZL,New Zealand,M,Gold +Beijing,2008,Sailing,Sailing,470 - Two Person Dinghy,"DE KONING, Marcelien",Women,NED,Netherlands,W,Silver +Beijing,2008,Sailing,Sailing,49er - Skiff,"FERNANDEZ, Xabier",Men,ESP,Spain,X,Silver +Beijing,2008,Sailing,Sailing,49er - Skiff,"WARRER, Jonas",Men,DEN,Denmark,X,Gold +Beijing,2008,Sailing,Sailing,Star - Keelboat,"EKSTROM, Anders",Men,SWE,Sweden,M,Bronze +Beijing,2008,Sailing,Sailing,Tornado - Multihull,"PAZ, Anton",Men,ESP,Spain,X,Gold +Beijing,2008,Sailing,Sailing,49er - Skiff,"PECKOLT, Hannes",Men,GER,Germany,X,Bronze +Beijing,2008,Sailing,Sailing,Laser - One Person Dinghy,"GOODISON, Paul",Men,GBR,United Kingdom,M,Gold +Beijing,2008,Sailing,Sailing,470 - Two Person Dinghy,"PAGE, Malcolm",Men,AUS,Australia,M,Gold +Beijing,2008,Sailing,Sailing,470 - Two Person Dinghy,"BERKHOUT, Lobke",Women,NED,Netherlands,W,Silver +Beijing,2008,Sailing,Sailing,Tornado - Multihull,"LANGE, Santiago",Men,ARG,Argentina,X,Bronze +Beijing,2008,Sailing,Sailing,Star - Keelboat,"LOOF, Fredrik",Men,SWE,Sweden,M,Bronze +Beijing,2008,Shooting,Shooting,10m air rifle (40 shots),"EMMONS, Katerina",Women,CZE,Czech Republic,W,Gold +Beijing,2008,Shooting,Shooting,50m rifle 3 positions (3x40 shots),"SUKHORUKOV, Yuriy",Men,UKR,Ukraine,M,Silver +Beijing,2008,Shooting,Shooting,50m rifle 3 positions (3x20 shots),"EMMONS, Katerina",Women,CZE,Czech Republic,W,Silver +Beijing,2008,Shooting,Shooting,10m air pistol (40 shots),"PADERINA, Natalia",Women,RUS,Russia,W,Silver +Beijing,2008,Shooting,Shooting,25m pistol (30+30 shots),"OTRYAD, Gundegmaa",Women,MGL,Mongolia,W,Silver +Beijing,2008,Shooting,Shooting,trap (75 targets),"MAKELA-NUMMELA, Satu",Women,FIN,Finland,W,Gold +Beijing,2008,Shooting,Shooting,trap (125 targets),"KOSTELECKY, David",Men,CZE,Czech Republic,M,Gold +Beijing,2008,Shooting,Shooting,double trap (150 targets),"ELLER, Glenn",Men,USA,United States,M,Gold +Beijing,2008,Shooting,Shooting,skeet (125 targets),"TERRAS, Anthony",Men,FRA,France,M,Bronze +Beijing,2008,Shooting,Shooting,double trap (150 targets),"HU, Binyuan",Men,CHN,China,M,Bronze +Beijing,2008,Shooting,Shooting,10m air rifle (60 shots),"BINDRA, Abhinav",Men,IND,India,M,Gold +Beijing,2008,Shooting,Shooting,skeet (75 targets),"CAINERO, Chiara",Women,ITA,Italy,W,Gold +Beijing,2008,Shooting,Shooting,25m rapid fire pistol (60 shots),"SCHUMANN, Ralf",Men,GER,Germany,M,Silver +Beijing,2008,Shooting,Shooting,trap (75 targets),"STEFECEKOVA, Zuzana",Women,SVK,Slovakia,W,Silver +Beijing,2008,Shooting,Shooting,10m air rifle (60 shots),"HAKKINEN, Henri",Men,FIN,Finland,M,Bronze +Beijing,2008,Shooting,Shooting,50m rifle prone (60 shots),"EMMONS, Matthew",Men,USA,United States,M,Silver +Beijing,2008,Shooting,Shooting,skeet (125 targets),"BROVOLD, Tore",Men,NOR,Norway,M,Silver +Beijing,2008,Shooting,Shooting,50m rifle 3 positions (3x40 shots),"DEBEVEC, Rajmond",Men,SLO,Slovenia,M,Bronze +Beijing,2008,Shooting,Shooting,trap (125 targets),"ALIPOV, Aleksey",Men,RUS,Russia,M,Bronze +Beijing,2008,Shooting,Shooting,50m rifle prone (60 shots),"AYVAZYAN, Artur",Men,UKR,Ukraine,M,Gold +Beijing,2008,Shooting,Shooting,10m air pistol (40 shots),"GUO, Wenjun",Women,CHN,China,W,Gold +Beijing,2008,Shooting,Shooting,trap (125 targets),"PELLIELO, Giovanni",Men,ITA,Italy,M,Silver +Beijing,2008,Shooting,Shooting,50m pistol (60 shots),"JIN, Jongoh",Men,KOR,"Korea, South",M,Gold +Beijing,2008,Shooting,Shooting,25m rapid fire pistol (60 shots),"REITZ, Christian",Men,GER,Germany,M,Bronze +Beijing,2008,Shooting,Shooting,50m pistol (60 shots),"TAN, Zongliang",Men,CHN,China,M,Silver +Beijing,2008,Shooting,Shooting,25m pistol (30+30 shots),"CHEN, Ying",Women,CHN,China,W,Gold +Beijing,2008,Shooting,Shooting,10m air rifle (60 shots),"ZHU, Qinan",Men,CHN,China,M,Silver +Beijing,2008,Shooting,Shooting,trap (75 targets),"COGDELL, Corey",Women,USA,United States,W,Bronze +Beijing,2008,Shooting,Shooting,50m rifle 3 positions (3x20 shots),"DU, Li",Women,CHN,China,W,Gold +Beijing,2008,Shooting,Shooting,50m rifle 3 positions (3x40 shots),"QIU, Jian",Men,CHN,China,M,Gold +Beijing,2008,Shooting,Shooting,skeet (75 targets),"RHODE, Kimberly",Women,USA,United States,W,Silver +Beijing,2008,Shooting,Shooting,10m air rifle (40 shots),"PEJCIC, Snjezana",Women,CRO,Croatia,W,Bronze +Beijing,2008,Shooting,Shooting,50m rifle prone (60 shots),"POTENT, Warren",Men,AUS,Australia,M,Bronze +Beijing,2008,Shooting,Shooting,double trap (150 targets),"D'ANIELLO, Francesco",Men,ITA,Italy,M,Silver +Beijing,2008,Shooting,Shooting,10m air pistol (60 shots),"JIN, Jongoh",Men,KOR,"Korea, South",M,Silver +Beijing,2008,Shooting,Shooting,skeet (125 targets),"HANCOCK, Vincent",Men,USA,United States,M,Gold +Beijing,2008,Shooting,Shooting,10m air rifle (40 shots),"GALKINA, Lyubov",Women,RUS,Russia,W,Silver +Beijing,2008,Shooting,Shooting,10m air pistol (60 shots),"TURNER, Jason",Men,USA,United States,M,Bronze +Beijing,2008,Shooting,Shooting,10m air pistol (60 shots),"PANG, Wei",Men,CHN,China,M,Gold +Beijing,2008,Shooting,Shooting,25m rapid fire pistol (60 shots),"PETRIV, Oleksandr",Men,UKR,Ukraine,M,Gold +Beijing,2008,Shooting,Shooting,10m air pistol (40 shots),"SALUKVADZE, Nino",Women,GEO,Georgia,W,Bronze +Beijing,2008,Shooting,Shooting,skeet (75 targets),"BRINKER, Christine",Women,GER,Germany,W,Bronze +Beijing,2008,Shooting,Shooting,50m rifle 3 positions (3x20 shots),"CRUZ, Eglys",Women,CUB,Cuba,W,Bronze +Beijing,2008,Shooting,Shooting,50m pistol (60 shots),"ISAKOV, Vladimir",Men,RUS,Russia,M,Bronze +Beijing,2008,Shooting,Shooting,25m pistol (30+30 shots),"DORJSUREN, Munkhbayar",Women,GER,Germany,W,Bronze +Beijing,2008,Softball,Softball,softball,"TITCUME, Natalie",Women,AUS,Australia,W,Bronze +Beijing,2008,Softball,Softball,softball,"MENDOZA, Jessica",Women,USA,United States,W,Silver +Beijing,2008,Softball,Softball,softball,"GALINDO, Victoria",Women,USA,United States,W,Silver +Beijing,2008,Softball,Softball,softball,"LEWIS, Sandy",Women,AUS,Australia,W,Bronze +Beijing,2008,Softball,Softball,softball,"LAPPIN, Lauren",Women,USA,United States,W,Silver +Beijing,2008,Softball,Softball,softball,"BUSTOS, Crystl",Women,USA,United States,W,Silver +Beijing,2008,Softball,Softball,softball,"WARD, Natalie",Women,AUS,Australia,W,Bronze +Beijing,2008,Softball,Softball,softball,"JUNG, Lovieanne",Women,USA,United States,W,Silver +Beijing,2008,Softball,Softball,softball,"MORROW, Simmone",Women,AUS,Australia,W,Bronze +Beijing,2008,Softball,Softball,softball,"OSTERMAN, Cat",Women,USA,United States,W,Silver +Beijing,2008,Softball,Softball,softball,"KARINO, Ayumi",Women,JPN,Japan,W,Gold +Beijing,2008,Softball,Softball,softball,"YAMADA, Eri",Women,JPN,Japan,W,Gold +Beijing,2008,Softball,Softball,softball,"WYBORN, Kerry",Women,AUS,Australia,W,Bronze +Beijing,2008,Softball,Softball,softball,"MOSLEY, Tracey",Women,AUS,Australia,W,Bronze +Beijing,2008,Softball,Softball,softball,"FINCH, Jennie",Women,USA,United States,W,Silver +Beijing,2008,Softball,Softball,softball,"MINE, Yukiyo",Women,JPN,Japan,W,Gold +Beijing,2008,Softball,Softball,softball,"ITO, Sachiko",Women,JPN,Japan,W,Gold +Beijing,2008,Softball,Softball,softball,"LOWE, Caitlin",Women,USA,United States,W,Silver +Beijing,2008,Softball,Softball,softball,"CRONK, Kylie",Women,AUS,Australia,W,Bronze +Beijing,2008,Softball,Softball,softball,"MISHINA, Masumi",Women,JPN,Japan,W,Gold +Beijing,2008,Softball,Softball,softball,"MABUCHI, Satoko",Women,JPN,Japan,W,Gold +Beijing,2008,Softball,Softball,softball,"HIROSE, Megu",Women,JPN,Japan,W,Gold +Beijing,2008,Softball,Softball,softball,"EMOTO, Naho",Women,JPN,Japan,W,Gold +Beijing,2008,Softball,Softball,softball,"BERG, Laura",Women,USA,United States,W,Silver +Beijing,2008,Softball,Softball,softball,"NUVEMAN, Stacey",Women,USA,United States,W,Silver +Beijing,2008,Softball,Softball,softball,"ROCHE, Melanie",Women,AUS,Australia,W,Bronze +Beijing,2008,Softball,Softball,softball,"SATO, Rie",Women,JPN,Japan,W,Gold +Beijing,2008,Softball,Softball,softball,"ABBOTT, Monica",Women,USA,United States,W,Silver +Beijing,2008,Softball,Softball,softball,"KRETSCHMAN, Kelly",Women,USA,United States,W,Silver +Beijing,2008,Softball,Softball,softball,"NISHIYAMA, Rei",Women,JPN,Japan,W,Gold +Beijing,2008,Softball,Softball,softball,"WRIGHT, Belinda",Women,AUS,Australia,W,Bronze +Beijing,2008,Softball,Softball,softball,"FUJIMOTO, Motoko",Women,JPN,Japan,W,Gold +Beijing,2008,Softball,Softball,softball,"DURAN, Andrea",Women,USA,United States,W,Silver +Beijing,2008,Softball,Softball,softball,"PORTER, Stacey",Women,AUS,Australia,W,Bronze +Beijing,2008,Softball,Softball,softball,"SOMEYA, Mika",Women,JPN,Japan,W,Gold +Beijing,2008,Softball,Softball,softball,"HARDIE, Kelly",Women,AUS,Australia,W,Bronze +Beijing,2008,Softball,Softball,softball,"BOWERING, Jodie",Women,AUS,Australia,W,Bronze +Beijing,2008,Softball,Softball,softball,"SMETHURST, Justine",Women,AUS,Australia,W,Bronze +Beijing,2008,Softball,Softball,softball,"HARDING, Tanya",Women,AUS,Australia,W,Bronze +Beijing,2008,Softball,Softball,softball,"UENO, Yukiko",Women,JPN,Japan,W,Gold +Beijing,2008,Softball,Softball,softball,"STEWART, Danielle",Women,AUS,Australia,W,Bronze +Beijing,2008,Softball,Softball,softball,"FLOWERS, Tairia",Women,USA,United States,W,Silver +Beijing,2008,Softball,Softball,softball,"INUI, Emi",Women,JPN,Japan,W,Gold +Beijing,2008,Softball,Softball,softball,"SAKAI, Hiroko",Women,JPN,Japan,W,Gold +Beijing,2008,Softball,Softball,softball,"WATLEY, Natasha",Women,USA,United States,W,Silver +Beijing,2008,Table Tennis,Table Tennis,team,"OVTCHAROV, Dimitrij",Men,GER,Germany,M,Silver +Beijing,2008,Table Tennis,Table Tennis,team,"WANG, Nan",Women,CHN,China,W,Gold +Beijing,2008,Table Tennis,Table Tennis,singles,"MA, Lin",Men,CHN,China,M,Gold +Beijing,2008,Table Tennis,Table Tennis,team,"DANG, Yeseo",Women,KOR,"Korea, South",W,Bronze +Beijing,2008,Table Tennis,Table Tennis,team,"ZHANG, Yining",Women,CHN,China,W,Gold +Beijing,2008,Table Tennis,Table Tennis,team,"LI, Jiawei",Women,SIN,Singapore,W,Silver +Beijing,2008,Table Tennis,Table Tennis,singles,"ZHANG, Yining",Women,CHN,China,W,Gold +Beijing,2008,Table Tennis,Table Tennis,team,"OH, Sangeun",Men,KOR,"Korea, South",M,Bronze +Beijing,2008,Table Tennis,Table Tennis,team,"KIM, Kyungah",Women,KOR,"Korea, South",W,Bronze +Beijing,2008,Table Tennis,Table Tennis,team,"WANG, Liqin",Men,CHN,China,M,Gold +Beijing,2008,Table Tennis,Table Tennis,team,"YOON, Jaeyoung",Men,KOR,"Korea, South",M,Bronze +Beijing,2008,Table Tennis,Table Tennis,singles,"GUO, Yue",Women,CHN,China,W,Bronze +Beijing,2008,Table Tennis,Table Tennis,singles,"WANG, Liqin",Men,CHN,China,M,Bronze +Beijing,2008,Table Tennis,Table Tennis,team,"WANG, Yue Gu",Women,SIN,Singapore,W,Silver +Beijing,2008,Table Tennis,Table Tennis,singles,"WANG, Hao",Men,CHN,China,M,Silver +Beijing,2008,Table Tennis,Table Tennis,team,"BOLL, Timo",Men,GER,Germany,M,Silver +Beijing,2008,Table Tennis,Table Tennis,team,"MA, Lin",Men,CHN,China,M,Gold +Beijing,2008,Table Tennis,Table Tennis,team,"GUO, Yue",Women,CHN,China,W,Gold +Beijing,2008,Table Tennis,Table Tennis,team,"PARK, Miyoung",Women,KOR,"Korea, South",W,Bronze +Beijing,2008,Table Tennis,Table Tennis,team,"FENG, Tian Wei",Women,SIN,Singapore,W,Silver +Beijing,2008,Table Tennis,Table Tennis,team,"RYU, Seungmin",Men,KOR,"Korea, South",M,Bronze +Beijing,2008,Table Tennis,Table Tennis,team,"WANG, Hao",Men,CHN,China,M,Gold +Beijing,2008,Table Tennis,Table Tennis,singles,"WANG, Nan",Women,CHN,China,W,Silver +Beijing,2008,Table Tennis,Table Tennis,team,"SUSS, Christian",Men,GER,Germany,M,Silver +Beijing,2008,Taekwondo,Taekwondo,58 - 68 kg,"SON, Taejin",Men,KOR,"Korea, South",M,Gold +Beijing,2008,Taekwondo,Taekwondo,58 - 68 kg,"LOPEZ, Mark",Men,USA,United States,M,Silver +Beijing,2008,Taekwondo,Taekwondo,+ 80 kg,"CHUKWUMERIJE, Chika Yagazie",Men,NGR,Nigeria,M,Bronze +Beijing,2008,Taekwondo,Taekwondo,+ 67 kg,"STEVENSON, Sarah",Women,GBR,United Kingdom,W,Bronze +Beijing,2008,Taekwondo,Taekwondo,57 - 67 kg,"SARIC, Sandra",Women,CRO,Croatia,W,Bronze +Beijing,2008,Taekwondo,Taekwondo,58 - 68 kg,"TAZEGUL, Servet",Men,TUR,Turkey,M,Bronze +Beijing,2008,Taekwondo,Taekwondo,- 58 kg,"MERCEDES, Yulis Gabriel",Men,DOM,Dominican Republic,M,Silver +Beijing,2008,Taekwondo,Taekwondo,- 49 kg,"WU, Jingyu",Women,CHN,China,W,Gold +Beijing,2008,Taekwondo,Taekwondo,68 - 80 kg,"LOPEZ, Steven",Men,USA,United States,M,Bronze +Beijing,2008,Taekwondo,Taekwondo,57 - 67 kg,"SERGERIE, Karine",Women,CAN,Canada,W,Silver +Beijing,2008,Taekwondo,Taekwondo,57 - 67 kg,"HWANG, Kyung Sun",Women,KOR,"Korea, South",W,Gold +Beijing,2008,Taekwondo,Taekwondo,58 - 68 kg,"SUNG, Yu-Chi",Men,TPE,Taiwan,M,Bronze +Beijing,2008,Taekwondo,Taekwondo,68 - 80 kg,"SAEI, Hadi",Men,IRI,Iran,M,Gold +Beijing,2008,Taekwondo,Taekwondo,- 58 kg,"PEREZ, Guillermo",Men,MEX,Mexico,M,Gold +Beijing,2008,Taekwondo,Taekwondo,+ 80 kg,"CHA, Dongmin",Men,KOR,"Korea, South",M,Gold +Beijing,2008,Taekwondo,Taekwondo,- 58 kg,"NIKPAI, Rohullah",Men,AFG,Afghanistan,M,Bronze +Beijing,2008,Taekwondo,Taekwondo,+ 67 kg,"FALAVIGNA, Natalia",Women,BRA,Brazil,W,Bronze +Beijing,2008,Taekwondo,Taekwondo,- 49 kg,"MONTEJO, Daynellis",Women,CUB,Cuba,W,Bronze +Beijing,2008,Taekwondo,Taekwondo,- 49 kg,"CONTRERAS RIVERO, Dalia",Women,VEN,Venezuela,W,Bronze +Beijing,2008,Taekwondo,Taekwondo,+ 67 kg,"SOLHEIM, Nina",Women,NOR,Norway,W,Silver +Beijing,2008,Taekwondo,Taekwondo,+ 80 kg,"NIKOLAIDIS, Alexandros",Men,GRE,Greece,M,Silver +Beijing,2008,Taekwondo,Taekwondo,- 58 kg,"CHU, Mu-Yen",Men,TPE,Taiwan,M,Bronze +Beijing,2008,Taekwondo,Taekwondo,49 - 57 kg,"TANRIKULU, Azize",Women,TUR,Turkey,W,Silver +Beijing,2008,Taekwondo,Taekwondo,- 49 kg,"PUEDPONG, Buttree",Women,THA,Thailand,W,Silver +Beijing,2008,Taekwondo,Taekwondo,68 - 80 kg,"SARMIENTO, Mauro",Men,ITA,Italy,M,Silver +Beijing,2008,Taekwondo,Taekwondo,49 - 57 kg,"ZUBCIC, Martina",Women,CRO,Croatia,W,Bronze +Beijing,2008,Taekwondo,Taekwondo,+ 80 kg,"CHILMANOV, Arman",Men,KAZ,Kazakhstan,M,Bronze +Beijing,2008,Taekwondo,Taekwondo,57 - 67 kg,"EPANGUE, Gwladys Patience",Women,FRA,France,W,Bronze +Beijing,2008,Taekwondo,Taekwondo,68 - 80 kg,"ZHU, Guo",Men,CHN,China,M,Bronze +Beijing,2008,Taekwondo,Taekwondo,49 - 57 kg,"LIM, Sujeong",Women,KOR,"Korea, South",W,Gold +Beijing,2008,Taekwondo,Taekwondo,+ 67 kg,"ESPINOZA, Maria del Rosario",Women,MEX,Mexico,W,Gold +Beijing,2008,Taekwondo,Taekwondo,49 - 57 kg,"LOPEZ, Diana",Women,USA,United States,W,Bronze +Beijing,2008,Tennis,Tennis,doubles,"RUANO PASCUAL, Virginia",Women,ESP,Spain,W,Silver +Beijing,2008,Tennis,Tennis,singles,"ZVONAREVA, Vera",Women,RUS,Russia,W,Bronze +Beijing,2008,Tennis,Tennis,singles,"DEMENTIEVA, Elena",Women,RUS,Russia,W,Gold +Beijing,2008,Tennis,Tennis,doubles,"ASPELIN, Simon",Men,SWE,Sweden,M,Silver +Beijing,2008,Tennis,Tennis,doubles,"JOHANSSON, Thomas",Men,SWE,Sweden,M,Silver +Beijing,2008,Tennis,Tennis,doubles,"BRYAN, Bob",Men,USA,United States,M,Bronze +Beijing,2008,Tennis,Tennis,singles,"GONZALEZ, Fernando",Men,CHI,Chile,M,Silver +Beijing,2008,Tennis,Tennis,singles,"SAFINA, Dinara",Women,RUS,Russia,W,Silver +Beijing,2008,Tennis,Tennis,doubles,"BRYAN, Mike",Men,USA,United States,M,Bronze +Beijing,2008,Tennis,Tennis,doubles,"MEDINA GARRIGUES, Anabel",Women,ESP,Spain,W,Silver +Beijing,2008,Tennis,Tennis,singles,"DJOKOVIC, Novak",Men,SRB,Serbia,M,Bronze +Beijing,2008,Tennis,Tennis,doubles,"YAN, Zi",Women,CHN,China,W,Bronze +Beijing,2008,Tennis,Tennis,doubles,"WILLIAMS, Venus",Women,USA,United States,W,Gold +Beijing,2008,Tennis,Tennis,doubles,"ZHENG, Jie",Women,CHN,China,W,Bronze +Beijing,2008,Tennis,Tennis,doubles,"FEDERER, Roger",Men,SUI,Switzerland,M,Gold +Beijing,2008,Tennis,Tennis,singles,"NADAL, Rafael",Men,ESP,Spain,M,Gold +Beijing,2008,Tennis,Tennis,doubles,"WAWRINKA, Stanislas",Men,SUI,Switzerland,M,Gold +Beijing,2008,Tennis,Tennis,doubles,"WILLIAMS, Serena",Women,USA,United States,W,Gold +Beijing,2008,Triathlon,Triathlon,Individual,"FRODENO, Jan",Men,GER,Germany,M,Gold +Beijing,2008,Triathlon,Triathlon,Individual,"FERNANDES, Vanessa",Women,POR,Portugal,W,Silver +Beijing,2008,Triathlon,Triathlon,Individual,"WHITFIELD, Simon",Men,CAN,Canada,M,Silver +Beijing,2008,Triathlon,Triathlon,Individual,"SNOWSILL, Emma",Women,AUS,Australia,W,Gold +Beijing,2008,Triathlon,Triathlon,Individual,"MOFFATT, Emma",Women,AUS,Australia,W,Bronze +Beijing,2008,Triathlon,Triathlon,Individual,"DOCHERTY, Bevan",Men,NZL,New Zealand,M,Bronze +Beijing,2008,Volleyball,Beach volley.,beach volleyball,"ARAUJO, Marcio",Men,BRA,Brazil,M,Silver +Beijing,2008,Volleyball,Beach volley.,beach volleyball,"MAY-TREANOR, Misty",Women,USA,United States,W,Gold +Beijing,2008,Volleyball,Beach volley.,beach volleyball,"WANG, Jie",Women,CHN,China,W,Silver +Beijing,2008,Volleyball,Beach volley.,beach volleyball,"TIAN, Jia",Women,CHN,China,W,Silver +Beijing,2008,Volleyball,Beach volley.,beach volleyball,"MAGALHAES, Fabio",Men,BRA,Brazil,M,Silver +Beijing,2008,Volleyball,Beach volley.,beach volleyball,"WALSH, Kerri",Women,USA,United States,W,Gold +Beijing,2008,Volleyball,Beach volley.,beach volleyball,"REGO, Emanuel",Men,BRA,Brazil,M,Bronze +Beijing,2008,Volleyball,Beach volley.,beach volleyball,"XUE, Chen",Women,CHN,China,W,Bronze +Beijing,2008,Volleyball,Beach volley.,beach volleyball,"SANTOS, Ricardo",Men,BRA,Brazil,M,Bronze +Beijing,2008,Volleyball,Beach volley.,beach volleyball,"ROGERS, Todd",Men,USA,United States,M,Gold +Beijing,2008,Volleyball,Beach volley.,beach volleyball,"DALHAUSSER, Philip",Men,USA,United States,M,Gold +Beijing,2008,Volleyball,Beach volley.,beach volleyball,"ZHANG, Xi",Women,CHN,China,W,Bronze +Beijing,2008,Volleyball,Volleyball,volleyball,"AMARAL, Dante",Men,BRA,Brazil,M,Silver +Beijing,2008,Volleyball,Volleyball,volleyball,"MIKHAYLOV, Maxim",Men,RUS,Russia,M,Bronze +Beijing,2008,Volleyball,Volleyball,volleyball,"SCOTT-ARRUDA, Danielle",Women,USA,United States,W,Silver +Beijing,2008,Volleyball,Volleyball,volleyball,"BERG, Lindsey",Women,USA,United States,W,Silver +Beijing,2008,Volleyball,Volleyball,volleyball,"LEE, David",Men,USA,United States,M,Gold +Beijing,2008,Volleyball,Volleyball,volleyball,"BEREZHKO, Yury",Men,RUS,Russia,M,Bronze +Beijing,2008,Volleyball,Volleyball,volleyball,"OSTAPENKO, Alexey",Men,RUS,Russia,M,Bronze +Beijing,2008,Volleyball,Volleyball,volleyball,"GRANKIN, Sergey",Men,RUS,Russia,M,Bronze +Beijing,2008,Volleyball,Volleyball,volleyball,"VOLKOV, Alexander",Men,RUS,Russia,M,Bronze +Beijing,2008,Volleyball,Volleyball,volleyball,"JOINES, Jennifer",Women,USA,United States,W,Silver +Beijing,2008,Volleyball,Volleyball,volleyball,"HANEEF-PARK, Tayyiba",Women,USA,United States,W,Silver +Beijing,2008,Volleyball,Volleyball,volleyball,"PEQUENO, Paula",Women,BRA,Brazil,W,Gold +Beijing,2008,Volleyball,Volleyball,volleyball,"ZHAO, Ruirui",Women,CHN,China,W,Bronze +Beijing,2008,Volleyball,Volleyball,volleyball,"ZHANG, Na",Women,CHN,China,W,Bronze +Beijing,2008,Volleyball,Volleyball,volleyball,"LIU, Yanan",Women,CHN,China,W,Bronze +Beijing,2008,Volleyball,Volleyball,volleyball,"OLIVEIRA, Walewska",Women,BRA,Brazil,W,Gold +Beijing,2008,Volleyball,Volleyball,volleyball,"ELGARTEN, Marcelo",Men,BRA,Brazil,M,Silver +Beijing,2008,Volleyball,Volleyball,volleyball,"WEI, Qiuyue",Women,CHN,China,W,Bronze +Beijing,2008,Volleyball,Volleyball,volleyball,"ENDRES, Murilo",Men,BRA,Brazil,M,Silver +Beijing,2008,Volleyball,Volleyball,volleyball,"FENG, Kun",Women,CHN,China,W,Bronze +Beijing,2008,Volleyball,Volleyball,volleyball,"BALL, Lloy",Men,USA,United States,M,Gold +Beijing,2008,Volleyball,Volleyball,volleyball,"LI, Juan",Women,CHN,China,W,Bronze +Beijing,2008,Volleyball,Volleyball,volleyball,"LAMBOURNE, Richard",Men,USA,United States,M,Gold +Beijing,2008,Volleyball,Volleyball,volleyball,"BOWN, Heather",Women,USA,United States,W,Silver +Beijing,2008,Volleyball,Volleyball,volleyball,"ENDRES, Gustavo",Men,BRA,Brazil,M,Silver +Beijing,2008,Volleyball,Volleyball,volleyball,"GLASS, Kimberly",Women,USA,United States,W,Silver +Beijing,2008,Volleyball,Volleyball,volleyball,"KOSAREV, Alexander",Men,RUS,Russia,M,Bronze +Beijing,2008,Volleyball,Volleyball,volleyball,"MILLAR, Ryan",Men,USA,United States,M,Gold +Beijing,2008,Volleyball,Volleyball,volleyball,"YANG, Hao",Women,CHN,China,W,Bronze +Beijing,2008,Volleyball,Volleyball,volleyball,"DAVIS, Nicole",Women,USA,United States,W,Silver +Beijing,2008,Volleyball,Volleyball,volleyball,"KULESHOV, Alexey",Men,RUS,Russia,M,Bronze +Beijing,2008,Volleyball,Volleyball,volleyball,"SANTOS, Sergio",Men,BRA,Brazil,M,Silver +Beijing,2008,Volleyball,Volleyball,volleyball,"RODRIGUES, Anderson",Men,BRA,Brazil,M,Silver +Beijing,2008,Volleyball,Volleyball,volleyball,"HOFF, Thomas",Men,USA,United States,M,Gold +Beijing,2008,Volleyball,Volleyball,volleyball,"GARDNER, Gabriel",Men,USA,United States,M,Gold +Beijing,2008,Volleyball,Volleyball,volleyball,"CASTRO, Sheilla",Women,BRA,Brazil,W,Gold +Beijing,2008,Volleyball,Volleyball,volleyball,"SYKORA, Stacy",Women,USA,United States,W,Silver +Beijing,2008,Volleyball,Volleyball,volleyball,"TOUZINSKY, Scott",Men,USA,United States,M,Gold +Beijing,2008,Volleyball,Volleyball,volleyball,"PRIDDY, William",Men,USA,United States,M,Gold +Beijing,2008,Volleyball,Volleyball,volleyball,"ZHOU, Suhong",Women,CHN,China,W,Bronze +Beijing,2008,Volleyball,Volleyball,volleyball,"WILLOUGHBY, Kim",Women,USA,United States,W,Silver +Beijing,2008,Volleyball,Volleyball,volleyball,"WANG, Yimei",Women,CHN,China,W,Bronze +Beijing,2008,Volleyball,Volleyball,volleyball,"GONZAGA, Welissa",Women,BRA,Brazil,W,Gold +Beijing,2008,Volleyball,Volleyball,volleyball,"POLTAVSKIY, Semen",Men,RUS,Russia,M,Bronze +Beijing,2008,Volleyball,Volleyball,volleyball,"SOUZA, Helia",Women,BRA,Brazil,W,Gold +Beijing,2008,Volleyball,Volleyball,volleyball,"KORNEEV, Alexander",Men,RUS,Russia,M,Bronze +Beijing,2008,Volleyball,Volleyball,volleyball,"TETYUKHIN, Sergey",Men,RUS,Russia,M,Bronze +Beijing,2008,Volleyball,Volleyball,volleyball,"ROONEY, Sean",Men,USA,United States,M,Gold +Beijing,2008,Volleyball,Volleyball,volleyball,"HELLER, Andre",Men,BRA,Brazil,M,Silver +Beijing,2008,Volleyball,Volleyball,volleyball,"MENEZES, Thaisa",Women,BRA,Brazil,W,Gold +Beijing,2008,Volleyball,Volleyball,volleyball,"REZENDE, Bruno",Men,BRA,Brazil,M,Silver +Beijing,2008,Volleyball,Volleyball,volleyball,"XU, Yunli",Women,CHN,China,W,Bronze +Beijing,2008,Volleyball,Volleyball,volleyball,"SANTANA, Rodrigo",Men,BRA,Brazil,M,Silver +Beijing,2008,Volleyball,Volleyball,volleyball,"FUCHS, Samuel",Men,BRA,Brazil,M,Silver +Beijing,2008,Volleyball,Volleyball,volleyball,"TOM, Logan",Women,USA,United States,W,Silver +Beijing,2008,Volleyball,Volleyball,volleyball,"CLAUDINO, Fabiana",Women,BRA,Brazil,W,Gold +Beijing,2008,Volleyball,Volleyball,volleyball,"MENEZES, Valeska",Women,BRA,Brazil,W,Gold +Beijing,2008,Volleyball,Volleyball,volleyball,"MA, Yunwen",Women,CHN,China,W,Bronze +Beijing,2008,Volleyball,Volleyball,volleyball,"XUE, Ming",Women,CHN,China,W,Bronze +Beijing,2008,Volleyball,Volleyball,volleyball,"CARVALHO, Jaqueline",Women,BRA,Brazil,W,Gold +Beijing,2008,Volleyball,Volleyball,volleyball,"ALBUQUERQUE, Carolina",Women,BRA,Brazil,W,Gold +Beijing,2008,Volleyball,Volleyball,volleyball,"STANLEY, Clayton",Men,USA,United States,M,Gold +Beijing,2008,Volleyball,Volleyball,volleyball,"GODOY FILHO, Gilberto",Men,BRA,Brazil,M,Silver +Beijing,2008,Volleyball,Volleyball,volleyball,"HANSEN, Kevin",Men,USA,United States,M,Gold +Beijing,2008,Volleyball,Volleyball,volleyball,"STEINBRECHER, Marianne",Women,BRA,Brazil,W,Gold +Beijing,2008,Volleyball,Volleyball,volleyball,"KHAMUTTSKIKH, Vadim",Men,RUS,Russia,M,Bronze +Beijing,2008,Volleyball,Volleyball,volleyball,"VERBOV, Alexey",Men,RUS,Russia,M,Bronze +Beijing,2008,Volleyball,Volleyball,volleyball,"AH MOW-SANTOS, Robyn",Women,USA,United States,W,Silver +Beijing,2008,Volleyball,Volleyball,volleyball,"NASCIMENTO, Andre",Men,BRA,Brazil,M,Silver +Beijing,2008,Volleyball,Volleyball,volleyball,"SALMON, Riley",Men,USA,United States,M,Gold +Beijing,2008,Volleyball,Volleyball,volleyball,"DE OLIVEIRA, Fabiana",Women,BRA,Brazil,W,Gold +Beijing,2008,Volleyball,Volleyball,volleyball,"NNAMANI, Ogonna",Women,USA,United States,W,Silver +Beijing,2008,Weightlifting,Weightlifting,+ 105kg,"SCERBATIHS, Viktors",Men,LAT,Latvia,M,Bronze +Beijing,2008,Weightlifting,Weightlifting,94kg,"ILIN, Ilya",Men,KAZ,Kazakhstan,M,Gold +Beijing,2008,Weightlifting,Weightlifting,58kg,"CHEN, Yanqing",Women,CHN,China,W,Gold +Beijing,2008,Weightlifting,Weightlifting,"- 56kg, total (bantamweight)","HOANG, Anh Tuan",Men,VIE,Vietnam,M,Silver +Beijing,2008,Weightlifting,Weightlifting,77kg,"SA, Jaehyouk",Men,KOR,"Korea, South",M,Gold +Beijing,2008,Weightlifting,Weightlifting,63kg,"PAK, Hyon Suk",Women,PRK,"Korea, North",W,Gold +Beijing,2008,Weightlifting,Weightlifting,105kg,"KLOKOV, Dmitriy",Men,RUS,Russia,M,Silver +Beijing,2008,Weightlifting,Weightlifting,62kg,"SALAZAR, Diego",Men,COL,Colombia,M,Silver +Beijing,2008,Weightlifting,Weightlifting,+ 75kg,"GRABOVETSKAYA, Mariya",Women,KAZ,Kazakhstan,W,Bronze +Beijing,2008,Weightlifting,Weightlifting,85kg,"LU, Yong",Men,CHN,China,M,Gold +Beijing,2008,Weightlifting,Weightlifting,69kg,"LIU, Chunhong",Women,CHN,China,W,Gold +Beijing,2008,Weightlifting,Weightlifting,48kg,"OZKAN, Sibel",Women,TUR,Turkey,W,Silver +Beijing,2008,Weightlifting,Weightlifting,+ 75kg,"KOROBKA, Olha",Women,UKR,Ukraine,W,Silver +Beijing,2008,Weightlifting,Weightlifting,53kg,"JAROENRATTANATARAKOON, Prapawadee",Women,THA,Thailand,W,Gold +Beijing,2008,Weightlifting,Weightlifting,63kg,"NEKRASSOVA, Irina",Women,KAZ,Kazakhstan,W,Silver +Beijing,2008,Weightlifting,Weightlifting,62kg,"ZHANG, Xiangxiang",Men,CHN,China,M,Gold +Beijing,2008,Weightlifting,Weightlifting,58kg,"O, Jong Ae",Women,PRK,"Korea, North",W,Bronze +Beijing,2008,Weightlifting,Weightlifting,77kg,"DAVTYAN, Gevorg",Men,ARM,Armenia,M,Bronze +Beijing,2008,Weightlifting,Weightlifting,105kg,"LAPIKOV, Dmitry",Men,RUS,Russia,M,Bronze +Beijing,2008,Weightlifting,Weightlifting,94kg,"AKKAEV, Khadzhimurat",Men,RUS,Russia,M,Bronze +Beijing,2008,Weightlifting,Weightlifting,+ 75kg,"JANG, Miran",Women,KOR,"Korea, South",W,Gold +Beijing,2008,Weightlifting,Weightlifting,58kg,"SHAINOVA, Marina",Women,RUS,Russia,W,Silver +Beijing,2008,Weightlifting,Weightlifting,48kg,"CHEN, Wei-Ling",Women,TPE,Taiwan,W,Bronze +Beijing,2008,Weightlifting,Weightlifting,75kg,"VAZHENINA, Alla",Women,KAZ,Kazakhstan,W,Silver +Beijing,2008,Weightlifting,Weightlifting,63kg,"LU, Ying-Chi",Women,TPE,Taiwan,W,Bronze +Beijing,2008,Weightlifting,Weightlifting,69kg,"SLIVENKO, Oxana",Women,RUS,Russia,W,Silver +Beijing,2008,Weightlifting,Weightlifting,53kg,"YOON, Jinhee",Women,KOR,"Korea, South",W,Silver +Beijing,2008,Weightlifting,Weightlifting,"- 56kg, total (bantamweight)","IRAWAN, Eko Yuli",Men,INA,Indonesia,M,Bronze +Beijing,2008,Weightlifting,Weightlifting,85kg,"MARTIROSYAN, Tigran Varban",Men,ARM,Armenia,M,Bronze +Beijing,2008,Weightlifting,Weightlifting,"- 56kg, total (bantamweight)","LONG, Qingquan",Men,CHN,China,M,Gold +Beijing,2008,Weightlifting,Weightlifting,69kg,"MARTIROSYAN, Tigran Gevorg",Men,ARM,Armenia,M,Bronze +Beijing,2008,Weightlifting,Weightlifting,94kg,"KOLECKI, Szymon",Men,POL,Poland,M,Silver +Beijing,2008,Weightlifting,Weightlifting,75kg,"CAO, Lei",Women,CHN,China,W,Gold +Beijing,2008,Weightlifting,Weightlifting,85kg,"RYBAKOU, Andrei",Men,BLR,Belarus,M,Silver +Beijing,2008,Weightlifting,Weightlifting,69kg,"DAVYDOVA, Natalya",Women,UKR,Ukraine,W,Bronze +Beijing,2008,Weightlifting,Weightlifting,+ 105kg,"STEINER, Matthias",Men,GER,Germany,M,Gold +Beijing,2008,Weightlifting,Weightlifting,105kg,"ARAMNAU, Andrei",Men,BLR,Belarus,M,Gold +Beijing,2008,Weightlifting,Weightlifting,48kg,"CHEN, Xiexia",Women,CHN,China,W,Gold +Beijing,2008,Weightlifting,Weightlifting,69kg,"LIAO, Hui",Men,CHN,China,M,Gold +Beijing,2008,Weightlifting,Weightlifting,+ 105kg,"CHIGISHEV, Evgeny",Men,RUS,Russia,M,Silver +Beijing,2008,Weightlifting,Weightlifting,75kg,"EVSTYUKHINA, Nadezda",Women,RUS,Russia,W,Bronze +Beijing,2008,Weightlifting,Weightlifting,62kg,TRIYATNO,Men,INA,Indonesia,M,Bronze +Beijing,2008,Weightlifting,Weightlifting,53kg,"NOVIKAVA, Nastassia",Women,BLR,Belarus,W,Bronze +Beijing,2008,Weightlifting,Weightlifting,69kg,"DABAYA-TIENTCHEU, Vencelas",Men,FRA,France,M,Silver +Beijing,2008,Weightlifting,Weightlifting,77kg,"LI, Hongli",Men,CHN,China,M,Silver +Beijing,2008,Wrestling,Wrestling Free.,66 - 74kg,"TERZIEV, Kiril",Men,BUL,Bulgaria,M,Bronze +Beijing,2008,Wrestling,Wrestling Free.,55 - 60kg,"MOHAMMADI, Seyedmorad",Men,IRI,Iran,M,Bronze +Beijing,2008,Wrestling,Wrestling Free.,84 - 96kg,"GOGSHELIDZE, George",Men,GEO,Georgia,M,Bronze +Beijing,2008,Wrestling,Wrestling Free.,74 - 84kg,"KETOEV, Georgy",Men,RUS,Russia,M,Bronze +Beijing,2008,Wrestling,Wrestling Free.,60 - 66kg,"STADNIK, Andriy",Men,UKR,Ukraine,M,Silver +Beijing,2008,Wrestling,Wrestling Free.,48 - 55kg,"XU, Li",Women,CHN,China,W,Silver +Beijing,2008,Wrestling,Wrestling Free.,63 - 72kg,"HAMAGUCHI, Kyoko",Women,JPN,Japan,W,Bronze +Beijing,2008,Wrestling,Wrestling Free.,66 - 74kg,"TIGIEV, Soslan",Men,UZB,Uzbekistan,M,Silver +Beijing,2008,Wrestling,Wrestling Free.,60 - 66kg,"TUSHISHVILI, Otar",Men,GEO,Georgia,M,Bronze +Beijing,2008,Wrestling,Wrestling Free.,96 - 120kg,"AKHMEDOV, Bakhtiyar",Men,RUS,Russia,M,Silver +Beijing,2008,Wrestling,Wrestling Free.,- 55kg,"VELIKOV, Radoslav",Men,BUL,Bulgaria,M,Bronze +Beijing,2008,Wrestling,Wrestling Free.,66 - 74kg,"SAYTIEV, Buvaysa",Men,RUS,Russia,M,Gold +Beijing,2008,Wrestling,Wrestling Free.,- 48kg,"ICHO, Chiharu",Women,JPN,Japan,W,Silver +Beijing,2008,Wrestling,Wrestling Free.,74 - 84kg,"MINDORASHVILI, Revazi",Men,GEO,Georgia,M,Gold +Beijing,2008,Wrestling,Wrestling Free.,63 - 72kg,"WIESZCZEK, Agnieszka",Women,POL,Poland,W,Bronze +Beijing,2008,Wrestling,Wrestling Free.,96 - 120kg,"MUTALIMOV, Marid",Men,KAZ,Kazakhstan,M,Bronze +Beijing,2008,Wrestling,Wrestling Free.,55 - 60kg,"BATIROV, Mavlet",Men,RUS,Russia,M,Gold +Beijing,2008,Wrestling,Wrestling Free.,63 - 72kg,"ZLATEVA, Stanka",Women,BUL,Bulgaria,W,Silver +Beijing,2008,Wrestling,Wrestling Free.,- 55kg,"CEJUDO, Henry",Men,USA,United States,M,Gold +Beijing,2008,Wrestling,Wrestling Free.,84 - 96kg,"GAZYUMOV, Khetag",Men,AZE,Azerbaijan,M,Bronze +Beijing,2008,Wrestling,Wrestling Free.,- 48kg,"STADNIK, Mariya",Women,AZE,Azerbaijan,W,Bronze +Beijing,2008,Wrestling,Wrestling Free.,84 - 96kg,"MURADOV, Shirvani",Men,RUS,Russia,M,Gold +Beijing,2008,Wrestling,Wrestling Free.,63 - 72kg,"WANG, Jiao",Women,CHN,China,W,Gold +Beijing,2008,Wrestling,Wrestling Free.,- 55kg,"MATSUNAGA, Tomohiro",Men,JPN,Japan,M,Silver +Beijing,2008,Wrestling,Wrestling Free.,48 - 55kg,"YOSHIDA, Saori",Women,JPN,Japan,W,Gold +Beijing,2008,Wrestling,Wrestling Free.,- 48kg,"HUYNH, Carol",Women,CAN,Canada,W,Gold +Beijing,2008,Wrestling,Wrestling Free.,96 - 120kg,"MUSULBES, David",Men,SVK,Slovakia,M,Bronze +Beijing,2008,Wrestling,Wrestling Free.,60 - 66kg,"KUMAR, Sushil",Men,IND,India,M,Bronze +Beijing,2008,Wrestling,Wrestling Free.,74 - 84kg,"DANKO, Taras",Men,UKR,Ukraine,M,Bronze +Beijing,2008,Wrestling,Wrestling Free.,55 - 60kg,"FEDORYSHYN, Vasyl",Men,UKR,Ukraine,M,Silver +Beijing,2008,Wrestling,Wrestling Free.,66 - 74kg,"GAIDAROV, Murad",Men,BLR,Belarus,M,Bronze +Beijing,2008,Wrestling,Wrestling Free.,- 48kg,"MERLENI, Irini",Women,UKR,Ukraine,W,Bronze +Beijing,2008,Wrestling,Wrestling Free.,55 - 63kg,"ICHO, Kaori",Women,JPN,Japan,W,Gold +Beijing,2008,Wrestling,Wrestling Free.,55 - 63kg,"KARTASHOVA, Alena",Women,RUS,Russia,W,Silver +Beijing,2008,Wrestling,Wrestling Free.,- 55kg,"KUDUKHOV, Besik",Men,RUS,Russia,M,Bronze +Beijing,2008,Wrestling,Wrestling Free.,96 - 120kg,"TAYMAZOV, Artur",Men,UZB,Uzbekistan,M,Gold +Beijing,2008,Wrestling,Wrestling Free.,55 - 63kg,"MILLER, Randi",Women,USA,United States,W,Bronze +Beijing,2008,Wrestling,Wrestling Free.,55 - 60kg,"YUMOTO, Kenichi",Men,JPN,Japan,M,Bronze +Beijing,2008,Wrestling,Wrestling Free.,84 - 96kg,"TIGIYEV, Taimuraz",Men,KAZ,Kazakhstan,M,Silver +Beijing,2008,Wrestling,Wrestling Free.,48 - 55kg,"RENTERIA, Jackeline",Women,COL,Colombia,W,Bronze +Beijing,2008,Wrestling,Wrestling Free.,60 - 66kg,"SAHIN, Ramazan",Men,TUR,Turkey,M,Gold +Beijing,2008,Wrestling,Wrestling Free.,74 - 84kg,"ABDUSALOMOV, Yusup",Men,TJK,Tajikistan,M,Silver +Beijing,2008,Wrestling,Wrestling Free.,55 - 63kg,"SHALYGINA, Yelena",Women,KAZ,Kazakhstan,W,Bronze +Beijing,2008,Wrestling,Wrestling Free.,48 - 55kg,"VERBEEK, Tonya",Women,CAN,Canada,W,Bronze +Beijing,2008,Wrestling,Wrestling Gre-R,66 - 74kg,"CHANG, Yongxiang",Men,CHN,China,M,Silver +Beijing,2008,Wrestling,Wrestling Gre-R,96 - 120kg,"MIZGAITIS, Mindaugas",Men,LTU,Lithuania,M,Bronze +Beijing,2008,Wrestling,Wrestling Gre-R,66 - 74kg,"YANAKIEV, Yavor",Men,BUL,Bulgaria,M,Bronze +Beijing,2008,Wrestling,Wrestling Gre-R,- 55kg,"BAYRAMOV, Rovshan",Men,AZE,Azerbaijan,M,Silver +Beijing,2008,Wrestling,Wrestling Gre-R,55 - 60kg,"TENGIZBAYEV, Nurbakyt",Men,KAZ,Kazakhstan,M,Bronze +Beijing,2008,Wrestling,Wrestling Gre-R,55 - 60kg,"ALBIEV, Islam-Beka",Men,RUS,Russia,M,Gold +Beijing,2008,Wrestling,Wrestling Gre-R,- 55kg,"AMOYAN, Roman",Men,ARM,Armenia,M,Bronze +Beijing,2008,Wrestling,Wrestling Gre-R,84 - 96kg,"KHUSHTOV, Aslanbek",Men,RUS,Russia,M,Gold +Beijing,2008,Wrestling,Wrestling Gre-R,74 - 84kg,"AVLUCA, Nazmi",Men,TUR,Turkey,M,Bronze +Beijing,2008,Wrestling,Wrestling Gre-R,60 - 66kg,"SIAMIONAU, Mikhail",Men,BLR,Belarus,M,Bronze +Beijing,2008,Wrestling,Wrestling Gre-R,60 - 66kg,"BEGALIEV, Kanatbek",Men,KGZ,Kyrgyzstan,M,Silver +Beijing,2008,Wrestling,Wrestling Gre-R,60 - 66kg,"VARDANYAN, Armen",Men,UKR,Ukraine,M,Bronze +Beijing,2008,Wrestling,Wrestling Gre-R,55 - 60kg,"TIUMENBAEV, Ruslan",Men,KGZ,Kyrgyzstan,M,Bronze +Beijing,2008,Wrestling,Wrestling Gre-R,74 - 84kg,"FODOR, Zoltan",Men,HUN,Hungary,M,Silver +Beijing,2008,Wrestling,Wrestling Gre-R,84 - 96kg,"WHEELER, Adam",Men,USA,United States,M,Bronze +Beijing,2008,Wrestling,Wrestling Gre-R,84 - 96kg,"MAMBETOV, Asset",Men,KAZ,Kazakhstan,M,Bronze +Beijing,2008,Wrestling,Wrestling Gre-R,- 55kg,"MANKIEV, Nazyr",Men,RUS,Russia,M,Gold +Beijing,2008,Wrestling,Wrestling Gre-R,74 - 84kg,"MINGUZZI, Andrea",Men,ITA,Italy,M,Gold +Beijing,2008,Wrestling,Wrestling Gre-R,96 - 120kg,"PATRIKEEV, Yuri",Men,ARM,Armenia,M,Bronze +Beijing,2008,Wrestling,Wrestling Gre-R,- 55kg,"PARK, Eun-Chul",Men,KOR,"Korea, South",M,Bronze +Beijing,2008,Wrestling,Wrestling Gre-R,84 - 96kg,"ENGLICH, Mirko",Men,GER,Germany,M,Silver +Beijing,2008,Wrestling,Wrestling Gre-R,96 - 120kg,"BAROEV, Khasan",Men,RUS,Russia,M,Silver +Beijing,2008,Wrestling,Wrestling Gre-R,66 - 74kg,"GUENOT, Christophe",Men,FRA,France,M,Bronze +Beijing,2008,Wrestling,Wrestling Gre-R,66 - 74kg,"KVIRKELIA, Manuchar",Men,GEO,Georgia,M,Gold +Beijing,2008,Wrestling,Wrestling Gre-R,55 - 60kg,"RAHIMOV, Vitaliy",Men,AZE,Azerbaijan,M,Silver +Beijing,2008,Wrestling,Wrestling Gre-R,60 - 66kg,"GUENOT, Steeve",Men,FRA,France,M,Gold +Beijing,2008,Wrestling,Wrestling Gre-R,96 - 120kg,"LOPEZ, Mijain",Men,CUB,Cuba,M,Gold diff --git a/data/penguins.csv b/data/penguins.csv new file mode 100644 index 0000000..082f805 --- /dev/null +++ b/data/penguins.csv @@ -0,0 +1,345 @@ +studyName,Sample Number,Species,Region,Island,Stage,Individual ID,Clutch Completion,Date Egg,Culmen Length (mm),Culmen Depth (mm),Flipper Length (mm),Body Mass (g),Sex,Delta 15 N (o/oo),Delta 13 C (o/oo),Comments +PAL0708,1,Adelie Penguin (Pygoscelis adeliae),Anvers,Torgersen,"Adult, 1 Egg Stage",N1A1,Yes,11/11/07,39.1,18.7,181,3750,MALE,,,Not enough blood for isotopes. +PAL0708,2,Adelie Penguin (Pygoscelis adeliae),Anvers,Torgersen,"Adult, 1 Egg Stage",N1A2,Yes,11/11/07,39.5,17.4,186,3800,FEMALE,8.94956,-24.69454, +PAL0708,3,Adelie Penguin (Pygoscelis adeliae),Anvers,Torgersen,"Adult, 1 Egg Stage",N2A1,Yes,11/16/07,40.3,18,195,3250,FEMALE,8.36821,-25.33302, +PAL0708,4,Adelie Penguin (Pygoscelis adeliae),Anvers,Torgersen,"Adult, 1 Egg Stage",N2A2,Yes,11/16/07,,,,,,,,Adult not sampled. +PAL0708,5,Adelie Penguin (Pygoscelis adeliae),Anvers,Torgersen,"Adult, 1 Egg Stage",N3A1,Yes,11/16/07,36.7,19.3,193,3450,FEMALE,8.76651,-25.32426, +PAL0708,6,Adelie Penguin (Pygoscelis adeliae),Anvers,Torgersen,"Adult, 1 Egg Stage",N3A2,Yes,11/16/07,39.3,20.6,190,3650,MALE,8.66496,-25.29805, +PAL0708,7,Adelie Penguin (Pygoscelis adeliae),Anvers,Torgersen,"Adult, 1 Egg Stage",N4A1,No,11/15/07,38.9,17.8,181,3625,FEMALE,9.18718,-25.21799,Nest never observed with full clutch. +PAL0708,8,Adelie Penguin (Pygoscelis adeliae),Anvers,Torgersen,"Adult, 1 Egg Stage",N4A2,No,11/15/07,39.2,19.6,195,4675,MALE,9.4606,-24.89958,Nest never observed with full clutch. +PAL0708,9,Adelie Penguin (Pygoscelis adeliae),Anvers,Torgersen,"Adult, 1 Egg Stage",N5A1,Yes,11/9/07,34.1,18.1,193,3475,,,,No blood sample obtained. +PAL0708,10,Adelie Penguin (Pygoscelis adeliae),Anvers,Torgersen,"Adult, 1 Egg Stage",N5A2,Yes,11/9/07,42,20.2,190,4250,,9.13362,-25.09368,No blood sample obtained for sexing. +PAL0708,11,Adelie Penguin (Pygoscelis adeliae),Anvers,Torgersen,"Adult, 1 Egg Stage",N6A1,Yes,11/9/07,37.8,17.1,186,3300,,8.63243,-25.21315,No blood sample obtained for sexing. +PAL0708,12,Adelie Penguin (Pygoscelis adeliae),Anvers,Torgersen,"Adult, 1 Egg Stage",N6A2,Yes,11/9/07,37.8,17.3,180,3700,,,,No blood sample obtained. +PAL0708,13,Adelie Penguin (Pygoscelis adeliae),Anvers,Torgersen,"Adult, 1 Egg Stage",N7A1,Yes,11/15/07,41.1,17.6,182,3200,FEMALE,,,Not enough blood for isotopes. +PAL0708,14,Adelie Penguin (Pygoscelis adeliae),Anvers,Torgersen,"Adult, 1 Egg Stage",N7A2,Yes,11/15/07,38.6,21.2,191,3800,MALE,,,Not enough blood for isotopes. +PAL0708,15,Adelie Penguin (Pygoscelis adeliae),Anvers,Torgersen,"Adult, 1 Egg Stage",N8A1,Yes,11/16/07,34.6,21.1,198,4400,MALE,8.55583,-25.22588, +PAL0708,16,Adelie Penguin (Pygoscelis adeliae),Anvers,Torgersen,"Adult, 1 Egg Stage",N8A2,Yes,11/16/07,36.6,17.8,185,3700,FEMALE,,,Not enough blood for isotopes. +PAL0708,17,Adelie Penguin (Pygoscelis adeliae),Anvers,Torgersen,"Adult, 1 Egg Stage",N9A1,Yes,11/12/07,38.7,19,195,3450,FEMALE,9.18528,-25.06691, +PAL0708,18,Adelie Penguin (Pygoscelis adeliae),Anvers,Torgersen,"Adult, 1 Egg Stage",N9A2,Yes,11/12/07,42.5,20.7,197,4500,MALE,8.67538,-25.13993, +PAL0708,19,Adelie Penguin (Pygoscelis adeliae),Anvers,Torgersen,"Adult, 1 Egg Stage",N10A1,Yes,11/16/07,34.4,18.4,184,3325,FEMALE,8.47827,-25.23319, +PAL0708,20,Adelie Penguin (Pygoscelis adeliae),Anvers,Torgersen,"Adult, 1 Egg Stage",N10A2,Yes,11/16/07,46,21.5,194,4200,MALE,9.11616,-24.77227, +PAL0708,21,Adelie Penguin (Pygoscelis adeliae),Anvers,Biscoe,"Adult, 1 Egg Stage",N11A1,Yes,11/12/07,37.8,18.3,174,3400,FEMALE,8.73762,-25.09383, +PAL0708,22,Adelie Penguin (Pygoscelis adeliae),Anvers,Biscoe,"Adult, 1 Egg Stage",N11A2,Yes,11/12/07,37.7,18.7,180,3600,MALE,8.66271,-25.0639, +PAL0708,23,Adelie Penguin (Pygoscelis adeliae),Anvers,Biscoe,"Adult, 1 Egg Stage",N12A1,Yes,11/12/07,35.9,19.2,189,3800,FEMALE,9.22286,-25.03474, +PAL0708,24,Adelie Penguin (Pygoscelis adeliae),Anvers,Biscoe,"Adult, 1 Egg Stage",N12A2,Yes,11/12/07,38.2,18.1,185,3950,MALE,8.43423,-25.22664, +PAL0708,25,Adelie Penguin (Pygoscelis adeliae),Anvers,Biscoe,"Adult, 1 Egg Stage",N13A1,Yes,11/10/07,38.8,17.2,180,3800,MALE,9.63954,-25.29856, +PAL0708,26,Adelie Penguin (Pygoscelis adeliae),Anvers,Biscoe,"Adult, 1 Egg Stage",N13A2,Yes,11/10/07,35.3,18.9,187,3800,FEMALE,9.21292,-24.3613, +PAL0708,27,Adelie Penguin (Pygoscelis adeliae),Anvers,Biscoe,"Adult, 1 Egg Stage",N17A1,Yes,11/12/07,40.6,18.6,183,3550,MALE,8.93997,-25.36288, +PAL0708,28,Adelie Penguin (Pygoscelis adeliae),Anvers,Biscoe,"Adult, 1 Egg Stage",N17A2,Yes,11/12/07,40.5,17.9,187,3200,FEMALE,8.08138,-25.49448, +PAL0708,29,Adelie Penguin (Pygoscelis adeliae),Anvers,Biscoe,"Adult, 1 Egg Stage",N18A1,No,11/10/07,37.9,18.6,172,3150,FEMALE,8.38404,-25.19837,Nest never observed with full clutch. +PAL0708,30,Adelie Penguin (Pygoscelis adeliae),Anvers,Biscoe,"Adult, 1 Egg Stage",N18A2,No,11/10/07,40.5,18.9,180,3950,MALE,8.90027,-25.11609,Nest never observed with full clutch. +PAL0708,31,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N21A1,Yes,11/9/07,39.5,16.7,178,3250,FEMALE,9.69756,-25.11223, +PAL0708,32,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N21A2,Yes,11/9/07,37.2,18.1,178,3900,MALE,9.72764,-25.0102, +PAL0708,33,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N22A1,Yes,11/9/07,39.5,17.8,188,3300,FEMALE,9.66523,-25.0602, +PAL0708,34,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N22A2,Yes,11/9/07,40.9,18.9,184,3900,MALE,8.79665,-25.14591, +PAL0708,35,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N23A1,Yes,11/16/07,36.4,17,195,3325,FEMALE,9.17847,-25.23061, +PAL0708,36,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N23A2,Yes,11/16/07,39.2,21.1,196,4150,MALE,9.15308,-25.03469, +PAL0708,37,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N24A1,Yes,11/16/07,38.8,20,190,3950,MALE,9.18985,-25.12255, +PAL0708,38,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N24A2,Yes,11/16/07,42.2,18.5,180,3550,FEMALE,8.04787,-25.49523, +PAL0708,39,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N25A1,No,11/13/07,37.6,19.3,181,3300,FEMALE,9.41131,-25.04169,Nest never observed with full clutch. +PAL0708,40,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N25A2,No,11/13/07,39.8,19.1,184,4650,MALE,,,Nest never observed with full clutch. Not enough blood for isotopes. +PAL0708,41,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N26A1,Yes,11/16/07,36.5,18,182,3150,FEMALE,9.68933,-24.4228, +PAL0708,42,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N26A2,Yes,11/16/07,40.8,18.4,195,3900,MALE,,,Not enough blood for isotopes. +PAL0708,43,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N27A1,Yes,11/19/07,36,18.5,186,3100,FEMALE,9.50772,-25.03492, +PAL0708,44,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N27A2,Yes,11/19/07,44.1,19.7,196,4400,MALE,9.2372,-24.52698, +PAL0708,45,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N28A1,Yes,11/16/07,37,16.9,185,3000,FEMALE,9.36392,-25.01745, +PAL0708,46,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N28A2,Yes,11/16/07,39.6,18.8,190,4600,MALE,9.49106,-24.10255, +PAL0708,47,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N29A1,Yes,11/13/07,41.1,19,182,3425,MALE,,,Not enough blood for isotopes. +PAL0708,48,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N29A2,Yes,11/13/07,37.5,18.9,179,2975,,,,Sexing primers did not amplify. Not enough blood for isotopes. +PAL0708,49,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N30A1,Yes,11/13/07,36,17.9,190,3450,FEMALE,9.51784,-25.07683, +PAL0708,50,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N30A2,Yes,11/13/07,42.3,21.2,191,4150,MALE,8.87988,-25.18543, +PAL0809,51,Adelie Penguin (Pygoscelis adeliae),Anvers,Biscoe,"Adult, 1 Egg Stage",N21A1,Yes,11/6/08,39.6,17.7,186,3500,FEMALE,8.46616,-26.12989, +PAL0809,52,Adelie Penguin (Pygoscelis adeliae),Anvers,Biscoe,"Adult, 1 Egg Stage",N21A2,Yes,11/6/08,40.1,18.9,188,4300,MALE,8.51362,-26.55602, +PAL0809,53,Adelie Penguin (Pygoscelis adeliae),Anvers,Biscoe,"Adult, 1 Egg Stage",N22A1,Yes,11/9/08,35,17.9,190,3450,FEMALE,8.19539,-26.17213, +PAL0809,54,Adelie Penguin (Pygoscelis adeliae),Anvers,Biscoe,"Adult, 1 Egg Stage",N22A2,Yes,11/9/08,42,19.5,200,4050,MALE,8.48095,-26.3146, +PAL0809,55,Adelie Penguin (Pygoscelis adeliae),Anvers,Biscoe,"Adult, 1 Egg Stage",N23A1,Yes,11/9/08,34.5,18.1,187,2900,FEMALE,8.41837,-26.54718, +PAL0809,56,Adelie Penguin (Pygoscelis adeliae),Anvers,Biscoe,"Adult, 1 Egg Stage",N23A2,Yes,11/9/08,41.4,18.6,191,3700,MALE,8.35396,-26.27853, +PAL0809,57,Adelie Penguin (Pygoscelis adeliae),Anvers,Biscoe,"Adult, 1 Egg Stage",N24A1,Yes,11/15/08,39,17.5,186,3550,FEMALE,8.57199,-26.07188, +PAL0809,58,Adelie Penguin (Pygoscelis adeliae),Anvers,Biscoe,"Adult, 1 Egg Stage",N24A2,Yes,11/15/08,40.6,18.8,193,3800,MALE,8.56674,-25.98843, +PAL0809,59,Adelie Penguin (Pygoscelis adeliae),Anvers,Biscoe,"Adult, 1 Egg Stage",N25A1,Yes,11/15/08,36.5,16.6,181,2850,FEMALE,9.07878,-25.88156, +PAL0809,60,Adelie Penguin (Pygoscelis adeliae),Anvers,Biscoe,"Adult, 1 Egg Stage",N25A2,Yes,11/15/08,37.6,19.1,194,3750,MALE,9.108,-25.89677, +PAL0809,61,Adelie Penguin (Pygoscelis adeliae),Anvers,Biscoe,"Adult, 1 Egg Stage",N27A1,Yes,11/13/08,35.7,16.9,185,3150,FEMALE,8.96472,-26.40943, +PAL0809,62,Adelie Penguin (Pygoscelis adeliae),Anvers,Biscoe,"Adult, 1 Egg Stage",N27A2,Yes,11/13/08,41.3,21.1,195,4400,MALE,8.74802,-26.37809, +PAL0809,63,Adelie Penguin (Pygoscelis adeliae),Anvers,Biscoe,"Adult, 1 Egg Stage",N28A1,Yes,11/13/08,37.6,17,185,3600,FEMALE,8.58063,-26.21569, +PAL0809,64,Adelie Penguin (Pygoscelis adeliae),Anvers,Biscoe,"Adult, 1 Egg Stage",N28A2,Yes,11/13/08,41.1,18.2,192,4050,MALE,8.62264,-26.60023, +PAL0809,65,Adelie Penguin (Pygoscelis adeliae),Anvers,Biscoe,"Adult, 1 Egg Stage",N29A1,Yes,11/13/08,36.4,17.1,184,2850,FEMALE,8.62623,-26.1165, +PAL0809,66,Adelie Penguin (Pygoscelis adeliae),Anvers,Biscoe,"Adult, 1 Egg Stage",N29A2,Yes,11/13/08,41.6,18,192,3950,MALE,8.85562,-26.09294, +PAL0809,67,Adelie Penguin (Pygoscelis adeliae),Anvers,Biscoe,"Adult, 1 Egg Stage",N30A1,Yes,11/6/08,35.5,16.2,195,3350,FEMALE,8.56192,-25.95541, +PAL0809,68,Adelie Penguin (Pygoscelis adeliae),Anvers,Biscoe,"Adult, 1 Egg Stage",N30A2,Yes,11/6/08,41.1,19.1,188,4100,MALE,8.71078,-25.81012, +PAL0809,69,Adelie Penguin (Pygoscelis adeliae),Anvers,Torgersen,"Adult, 1 Egg Stage",N32A1,No,11/11/08,35.9,16.6,190,3050,FEMALE,8.47781,-26.07821,Nest never observed with full clutch. +PAL0809,70,Adelie Penguin (Pygoscelis adeliae),Anvers,Torgersen,"Adult, 1 Egg Stage",N32A2,No,11/11/08,41.8,19.4,198,4450,MALE,8.86853,-26.06209,Nest never observed with full clutch. +PAL0809,71,Adelie Penguin (Pygoscelis adeliae),Anvers,Torgersen,"Adult, 1 Egg Stage",N34A1,Yes,11/14/08,33.5,19,190,3600,FEMALE,7.88863,-26.63085, +PAL0809,72,Adelie Penguin (Pygoscelis adeliae),Anvers,Torgersen,"Adult, 1 Egg Stage",N34A2,Yes,11/14/08,39.7,18.4,190,3900,MALE,9.29808,-25.23453, +PAL0809,73,Adelie Penguin (Pygoscelis adeliae),Anvers,Torgersen,"Adult, 1 Egg Stage",N35A1,Yes,11/11/08,39.6,17.2,196,3550,FEMALE,8.33524,-26.55351, +PAL0809,74,Adelie Penguin (Pygoscelis adeliae),Anvers,Torgersen,"Adult, 1 Egg Stage",N35A2,Yes,11/11/08,45.8,18.9,197,4150,MALE,8.18658,-26.45978, +PAL0809,75,Adelie Penguin (Pygoscelis adeliae),Anvers,Torgersen,"Adult, 1 Egg Stage",N36A1,Yes,11/8/08,35.5,17.5,190,3700,FEMALE,8.70642,-26.15003, +PAL0809,76,Adelie Penguin (Pygoscelis adeliae),Anvers,Torgersen,"Adult, 1 Egg Stage",N36A2,Yes,11/8/08,42.8,18.5,195,4250,MALE,8.2993,-26.38986, +PAL0809,77,Adelie Penguin (Pygoscelis adeliae),Anvers,Torgersen,"Adult, 1 Egg Stage",N37A1,Yes,11/6/08,40.9,16.8,191,3700,FEMALE,8.47257,-26.02002, +PAL0809,78,Adelie Penguin (Pygoscelis adeliae),Anvers,Torgersen,"Adult, 1 Egg Stage",N37A2,Yes,11/6/08,37.2,19.4,184,3900,MALE,8.3554,-26.44787, +PAL0809,79,Adelie Penguin (Pygoscelis adeliae),Anvers,Torgersen,"Adult, 1 Egg Stage",N38A1,Yes,11/9/08,36.2,16.1,187,3550,FEMALE,7.82381,-26.51382, +PAL0809,80,Adelie Penguin (Pygoscelis adeliae),Anvers,Torgersen,"Adult, 1 Egg Stage",N38A2,Yes,11/9/08,42.1,19.1,195,4000,MALE,9.05736,-25.81513, +PAL0809,81,Adelie Penguin (Pygoscelis adeliae),Anvers,Torgersen,"Adult, 1 Egg Stage",N39A1,Yes,11/2/08,34.6,17.2,189,3200,FEMALE,7.69778,-26.5387, +PAL0809,82,Adelie Penguin (Pygoscelis adeliae),Anvers,Torgersen,"Adult, 1 Egg Stage",N39A2,Yes,11/2/08,42.9,17.6,196,4700,MALE,8.63259,-26.23027, +PAL0809,83,Adelie Penguin (Pygoscelis adeliae),Anvers,Torgersen,"Adult, 1 Egg Stage",N40A1,Yes,11/7/08,36.7,18.8,187,3800,FEMALE,7.88494,-26.24837, +PAL0809,84,Adelie Penguin (Pygoscelis adeliae),Anvers,Torgersen,"Adult, 1 Egg Stage",N40A2,Yes,11/7/08,35.1,19.4,193,4200,MALE,8.90002,-26.46254, +PAL0809,85,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N41A1,Yes,11/17/08,37.3,17.8,191,3350,FEMALE,8.32718,-26.38396, +PAL0809,86,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N41A2,Yes,11/17/08,41.3,20.3,194,3550,MALE,9.14863,-26.09635, +PAL0809,87,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N42A1,Yes,11/8/08,36.3,19.5,190,3800,MALE,8.57087,-26.22227, +PAL0809,88,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N42A2,Yes,11/8/08,36.9,18.6,189,3500,FEMALE,8.59147,-26.08165, +PAL0809,89,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N44A1,Yes,11/8/08,38.3,19.2,189,3950,MALE,9.07826,-26.12417, +PAL0809,90,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N44A2,Yes,11/8/08,38.9,18.8,190,3600,FEMALE,8.36936,-26.11199, +PAL0809,91,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N45A1,Yes,11/14/08,35.7,18,202,3550,FEMALE,8.46531,-26.05621, +PAL0809,92,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N45A2,Yes,11/14/08,41.1,18.1,205,4300,MALE,8.77018,-25.83352, +PAL0809,93,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N46A1,Yes,11/5/08,34,17.1,185,3400,FEMALE,8.01485,-26.69543, +PAL0809,94,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N46A2,Yes,11/5/08,39.6,18.1,186,4450,MALE,8.49915,-26.42406, +PAL0809,95,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N48A1,Yes,11/17/08,36.2,17.3,187,3300,FEMALE,8.90723,-26.30037, +PAL0809,96,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N48A2,Yes,11/17/08,40.8,18.9,208,4300,MALE,8.48204,-26.57941, +PAL0809,97,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N49A1,Yes,11/8/08,38.1,18.6,190,3700,FEMALE,8.10277,-26.50086, +PAL0809,98,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N49A2,Yes,11/8/08,40.3,18.5,196,4350,MALE,8.39459,-26.01152, +PAL0809,99,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N50A1,Yes,11/10/08,33.1,16.1,178,2900,FEMALE,9.04218,-26.15775, +PAL0809,100,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N50A2,Yes,11/10/08,43.2,18.5,192,4100,MALE,8.97025,-26.03679, +PAL0910,101,Adelie Penguin (Pygoscelis adeliae),Anvers,Biscoe,"Adult, 1 Egg Stage",N47A1,Yes,11/9/09,35,17.9,192,3725,FEMALE,8.84451,-26.28055, +PAL0910,102,Adelie Penguin (Pygoscelis adeliae),Anvers,Biscoe,"Adult, 1 Egg Stage",N47A2,Yes,11/9/09,41,20,203,4725,MALE,9.01079,-26.38085, +PAL0910,103,Adelie Penguin (Pygoscelis adeliae),Anvers,Biscoe,"Adult, 1 Egg Stage",N49A1,Yes,11/15/09,37.7,16,183,3075,FEMALE,9.2151,-26.2253, +PAL0910,104,Adelie Penguin (Pygoscelis adeliae),Anvers,Biscoe,"Adult, 1 Egg Stage",N49A2,Yes,11/15/09,37.8,20,190,4250,MALE,9.51929,-25.69199, +PAL0910,105,Adelie Penguin (Pygoscelis adeliae),Anvers,Biscoe,"Adult, 1 Egg Stage",N51A1,Yes,11/15/09,37.9,18.6,193,2925,FEMALE,9.02642,-25.86482, +PAL0910,106,Adelie Penguin (Pygoscelis adeliae),Anvers,Biscoe,"Adult, 1 Egg Stage",N51A2,Yes,11/15/09,39.7,18.9,184,3550,MALE,8.85699,-25.80208, +PAL0910,107,Adelie Penguin (Pygoscelis adeliae),Anvers,Biscoe,"Adult, 1 Egg Stage",N53A1,Yes,11/15/09,38.6,17.2,199,3750,FEMALE,8.77322,-26.48973, +PAL0910,108,Adelie Penguin (Pygoscelis adeliae),Anvers,Biscoe,"Adult, 1 Egg Stage",N53A2,Yes,11/15/09,38.2,20,190,3900,MALE,9.59245,-25.70711, +PAL0910,109,Adelie Penguin (Pygoscelis adeliae),Anvers,Biscoe,"Adult, 1 Egg Stage",N55A1,Yes,11/20/09,38.1,17,181,3175,FEMALE,9.79532,-25.27385, +PAL0910,110,Adelie Penguin (Pygoscelis adeliae),Anvers,Biscoe,"Adult, 1 Egg Stage",N55A2,Yes,11/20/09,43.2,19,197,4775,MALE,9.31735,-25.45171, +PAL0910,111,Adelie Penguin (Pygoscelis adeliae),Anvers,Biscoe,"Adult, 1 Egg Stage",N58A1,Yes,11/12/09,38.1,16.5,198,3825,FEMALE,8.43951,-26.57563, +PAL0910,112,Adelie Penguin (Pygoscelis adeliae),Anvers,Biscoe,"Adult, 1 Egg Stage",N58A2,Yes,11/12/09,45.6,20.3,191,4600,MALE,8.65466,-26.32909, +PAL0910,113,Adelie Penguin (Pygoscelis adeliae),Anvers,Biscoe,"Adult, 1 Egg Stage",N60A1,Yes,11/15/09,39.7,17.7,193,3200,FEMALE,9.02657,-26.06203, +PAL0910,114,Adelie Penguin (Pygoscelis adeliae),Anvers,Biscoe,"Adult, 1 Egg Stage",N60A2,Yes,11/15/09,42.2,19.5,197,4275,MALE,8.80186,-26.41218, +PAL0910,115,Adelie Penguin (Pygoscelis adeliae),Anvers,Biscoe,"Adult, 1 Egg Stage",N61A1,Yes,11/17/09,39.6,20.7,191,3900,FEMALE,8.80967,-26.78958, +PAL0910,116,Adelie Penguin (Pygoscelis adeliae),Anvers,Biscoe,"Adult, 1 Egg Stage",N61A2,Yes,11/17/09,42.7,18.3,196,4075,MALE,8.91434,-26.42018, +PAL0910,117,Adelie Penguin (Pygoscelis adeliae),Anvers,Torgersen,"Adult, 1 Egg Stage",N63A1,Yes,11/18/09,38.6,17,188,2900,FEMALE,9.18021,-25.77264, +PAL0910,118,Adelie Penguin (Pygoscelis adeliae),Anvers,Torgersen,"Adult, 1 Egg Stage",N63A2,Yes,11/18/09,37.3,20.5,199,3775,MALE,9.49645,-26.36678, +PAL0910,119,Adelie Penguin (Pygoscelis adeliae),Anvers,Torgersen,"Adult, 1 Egg Stage",N64A1,Yes,11/22/09,35.7,17,189,3350,FEMALE,8.96436,-23.90309, +PAL0910,120,Adelie Penguin (Pygoscelis adeliae),Anvers,Torgersen,"Adult, 1 Egg Stage",N64A2,Yes,11/22/09,41.1,18.6,189,3325,MALE,9.32277,-26.09989, +PAL0910,121,Adelie Penguin (Pygoscelis adeliae),Anvers,Torgersen,"Adult, 1 Egg Stage",N66A1,No,11/17/09,36.2,17.2,187,3150,FEMALE,9.04296,-26.19444,Nest never observed with full clutch. +PAL0910,122,Adelie Penguin (Pygoscelis adeliae),Anvers,Torgersen,"Adult, 1 Egg Stage",N66A2,No,11/17/09,37.7,19.8,198,3500,MALE,9.11066,-26.42563,Nest never observed with full clutch. +PAL0910,123,Adelie Penguin (Pygoscelis adeliae),Anvers,Torgersen,"Adult, 1 Egg Stage",N67A1,Yes,11/16/09,40.2,17,176,3450,FEMALE,9.30722,-25.61039, +PAL0910,124,Adelie Penguin (Pygoscelis adeliae),Anvers,Torgersen,"Adult, 1 Egg Stage",N67A2,Yes,11/16/09,41.4,18.5,202,3875,MALE,9.59462,-25.42621, +PAL0910,125,Adelie Penguin (Pygoscelis adeliae),Anvers,Torgersen,"Adult, 1 Egg Stage",N69A1,Yes,11/18/09,35.2,15.9,186,3050,FEMALE,8.81668,-25.95399, +PAL0910,126,Adelie Penguin (Pygoscelis adeliae),Anvers,Torgersen,"Adult, 1 Egg Stage",N69A2,Yes,11/18/09,40.6,19,199,4000,MALE,9.22537,-25.60826, +PAL0910,127,Adelie Penguin (Pygoscelis adeliae),Anvers,Torgersen,"Adult, 1 Egg Stage",N71A1,Yes,11/21/09,38.8,17.6,191,3275,FEMALE,8.88098,-25.89741, +PAL0910,128,Adelie Penguin (Pygoscelis adeliae),Anvers,Torgersen,"Adult, 1 Egg Stage",N71A2,Yes,11/21/09,41.5,18.3,195,4300,MALE,8.52566,-26.0245, +PAL0910,129,Adelie Penguin (Pygoscelis adeliae),Anvers,Torgersen,"Adult, 1 Egg Stage",N72A1,Yes,11/18/09,39,17.1,191,3050,FEMALE,9.19031,-25.73722, +PAL0910,130,Adelie Penguin (Pygoscelis adeliae),Anvers,Torgersen,"Adult, 1 Egg Stage",N72A2,Yes,11/18/09,44.1,18,210,4000,MALE,9.10702,-26.01363, +PAL0910,131,Adelie Penguin (Pygoscelis adeliae),Anvers,Torgersen,"Adult, 1 Egg Stage",N73A1,No,11/23/09,38.5,17.9,190,3325,FEMALE,8.9846,-25.57956,Nest never observed with full clutch. +PAL0910,132,Adelie Penguin (Pygoscelis adeliae),Anvers,Torgersen,"Adult, 1 Egg Stage",N73A2,No,11/23/09,43.1,19.2,197,3500,MALE,8.86495,-26.1396,Nest never observed with full clutch. +PAL0910,133,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N76A1,Yes,11/10/09,36.8,18.5,193,3500,FEMALE,8.98705,-25.57647, +PAL0910,134,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N76A2,Yes,11/10/09,37.5,18.5,199,4475,MALE,8.56708,-26.49288, +PAL0910,135,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N77A1,Yes,11/13/09,38.1,17.6,187,3425,FEMALE,8.717,-25.77951, +PAL0910,136,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N77A2,Yes,11/13/09,41.1,17.5,190,3900,MALE,8.94365,-26.06943, +PAL0910,137,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N78A1,Yes,11/16/09,35.6,17.5,191,3175,FEMALE,8.75984,-25.97696, +PAL0910,138,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N78A2,Yes,11/16/09,40.2,20.1,200,3975,MALE,8.95998,-26.32601, +PAL0910,139,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N79A1,No,11/16/09,37,16.5,185,3400,FEMALE,8.61651,-26.07021,Nest never observed with full clutch. +PAL0910,140,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N79A2,No,11/16/09,39.7,17.9,193,4250,MALE,9.25769,-25.88798,Nest never observed with full clutch. +PAL0910,141,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N80A1,Yes,11/14/09,40.2,17.1,193,3400,FEMALE,9.2881,-25.54976, +PAL0910,142,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N80A2,Yes,11/14/09,40.6,17.2,187,3475,MALE,9.23408,-26.01549, +PAL0910,143,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N81A1,Yes,11/16/09,32.1,15.5,188,3050,FEMALE,8.79787,-26.61075, +PAL0910,144,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N81A2,Yes,11/16/09,40.7,17,190,3725,MALE,9.05674,-25.79529, +PAL0910,145,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N82A1,Yes,11/16/09,37.3,16.8,192,3000,FEMALE,9.06829,-25.85203, +PAL0910,146,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N82A2,Yes,11/16/09,39,18.7,185,3650,MALE,9.22033,-26.03442, +PAL0910,147,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N83A1,Yes,11/13/09,39.2,18.6,190,4250,MALE,9.11006,-25.79549, +PAL0910,148,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N83A2,Yes,11/13/09,36.6,18.4,184,3475,FEMALE,8.68744,-25.8306, +PAL0910,149,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N84A1,Yes,11/17/09,36,17.8,195,3450,FEMALE,8.94332,-25.79189, +PAL0910,150,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N84A2,Yes,11/17/09,37.8,18.1,193,3750,MALE,8.97533,-26.03495, +PAL0910,151,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N85A1,Yes,11/17/09,36,17.1,187,3700,FEMALE,8.93465,-26.07081, +PAL0910,152,Adelie Penguin (Pygoscelis adeliae),Anvers,Dream,"Adult, 1 Egg Stage",N85A2,Yes,11/17/09,41.5,18.5,201,4000,MALE,8.8964,-26.06967, +PAL0708,1,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N61A1,No,11/19/07,46.5,17.9,192,3500,FEMALE,9.03935,-24.30229, +PAL0708,2,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N61A2,No,11/19/07,50,19.5,196,3900,MALE,8.92069,-24.23592, +PAL0708,3,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N62A1,Yes,11/26/07,51.3,19.2,193,3650,MALE,9.29078,-24.7557, +PAL0708,4,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N62A2,Yes,11/26/07,45.4,18.7,188,3525,FEMALE,8.64701,-24.62717, +PAL0708,5,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N64A1,Yes,11/21/07,52.7,19.8,197,3725,MALE,9.00642,-24.61867, +PAL0708,6,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N64A2,Yes,11/21/07,45.2,17.8,198,3950,FEMALE,8.88942,-24.49433, +PAL0708,7,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N66A1,Yes,11/28/07,46.1,18.2,178,3250,FEMALE,8.85664,-24.55644, +PAL0708,8,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N66A2,Yes,11/28/07,51.3,18.2,197,3750,MALE,8.63701,-24.84059, +PAL0708,9,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N67A1,Yes,11/21/07,46,18.9,195,4150,FEMALE,8.47173,-24.29229, +PAL0708,10,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N67A2,Yes,11/21/07,51.3,19.9,198,3700,MALE,8.79581,-24.36088, +PAL0708,11,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N68A1,Yes,11/28/07,46.6,17.8,193,3800,FEMALE,8.95063,-24.59897, +PAL0708,12,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N68A2,Yes,11/28/07,51.7,20.3,194,3775,MALE,8.68747,-24.38751, +PAL0708,13,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N69A1,Yes,11/26/07,47,17.3,185,3700,FEMALE,8.72037,-24.80526, +PAL0708,14,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N69A2,Yes,11/26/07,52,18.1,201,4050,MALE,9.0233,-24.38933, +PAL0708,15,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N70A1,Yes,11/22/07,45.9,17.1,190,3575,FEMALE,9.12277,-24.90024, +PAL0708,16,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N70A2,Yes,11/22/07,50.5,19.6,201,4050,MALE,9.8059,-24.7294, +PAL0708,17,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N71A1,No,11/30/07,50.3,20,197,3300,MALE,10.02019,-24.54704, +PAL0708,18,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N71A2,No,11/30/07,58,17.8,181,3700,FEMALE,9.14382,-24.57994, +PAL0708,19,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N72A1,Yes,11/30/07,46.4,18.6,190,3450,FEMALE,9.32105,-24.64162, +PAL0708,20,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N72A2,Yes,11/30/07,49.2,18.2,195,4400,MALE,9.27158,-24.64335, +PAL0708,21,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N73A1,Yes,12/3/07,42.4,17.3,181,3600,FEMALE,9.35138,-24.6879, +PAL0708,22,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N73A2,Yes,12/3/07,48.5,17.5,191,3400,MALE,9.42666,-24.26375, +PAL0708,23,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N85A1,No,11/28/07,43.2,16.6,187,2900,FEMALE,9.35416,-25.01185, +PAL0708,24,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N85A2,No,11/28/07,50.6,19.4,193,3800,MALE,9.28153,-24.97134, +PAL0708,25,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N89A1,No,11/28/07,46.7,17.9,195,3300,FEMALE,9.74144,-24.59467, +PAL0708,26,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N89A2,No,11/28/07,52,19,197,4150,MALE,9.36799,-24.47142, +PAL0809,27,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N61A1,No,11/25/08,50.5,18.4,200,3400,FEMALE,8.9399,-23.89017, +PAL0809,28,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N61A2,No,11/25/08,49.5,19,200,3800,MALE,9.63074,-24.34684, +PAL0809,29,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N62A1,Yes,11/14/08,46.4,17.8,191,3700,FEMALE,9.37369,-24.52896, +PAL0809,30,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N62A2,Yes,11/14/08,52.8,20,205,4550,MALE,9.25177,-24.69638, +PAL0809,31,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N63A1,Yes,11/24/08,40.9,16.6,187,3200,FEMALE,9.08458,-24.54903, +PAL0809,32,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N63A2,Yes,11/24/08,54.2,20.8,201,4300,MALE,9.49283,-24.59996, +PAL0809,33,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N65A1,Yes,11/24/08,42.5,16.7,187,3350,FEMALE,9.36668,-24.45195, +PAL0809,34,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N65A2,Yes,11/24/08,51,18.8,203,4100,MALE,9.23196,-24.17282, +PAL0809,35,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N67A1,Yes,11/25/08,49.7,18.6,195,3600,MALE,9.75486,-24.31198, +PAL0809,36,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N67A2,Yes,11/25/08,47.5,16.8,199,3900,FEMALE,9.07825,-25.1455, +PAL0809,37,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N69A1,Yes,11/14/08,47.6,18.3,195,3850,FEMALE,8.83502,-24.65859, +PAL0809,38,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N69A2,Yes,11/14/08,52,20.7,210,4800,MALE,9.43146,-24.6844, +PAL0809,39,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N72A1,No,11/24/08,46.9,16.6,192,2700,FEMALE,9.80589,-24.73735, +PAL0809,40,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N72A2,No,11/24/08,53.5,19.9,205,4500,MALE,10.02544,-24.90816, +PAL0809,41,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N74A1,Yes,11/24/08,49,19.5,210,3950,MALE,9.53262,-24.66867, +PAL0809,42,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N74A2,Yes,11/24/08,46.2,17.5,187,3650,FEMALE,9.61734,-24.66188, +PAL0809,43,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N75A1,Yes,11/14/08,50.9,19.1,196,3550,MALE,10.02372,-24.86594, +PAL0809,44,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N75A2,Yes,11/14/08,45.5,17,196,3500,FEMALE,9.36493,-24.66259, +PAL0910,45,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N86A1,Yes,11/17/09,50.9,17.9,196,3675,FEMALE,9.43684,-24.16566, +PAL0910,46,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N86A2,Yes,11/17/09,50.8,18.5,201,4450,MALE,9.45827,-24.35575, +PAL0910,47,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N87A1,Yes,11/27/09,50.1,17.9,190,3400,FEMALE,9.46819,-24.45721, +PAL0910,48,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N87A2,Yes,11/27/09,49,19.6,212,4300,MALE,9.34089,-24.45189, +PAL0910,49,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N88A1,Yes,11/23/09,51.5,18.7,187,3250,MALE,9.6895,-24.43062, +PAL0910,50,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N88A2,Yes,11/23/09,49.8,17.3,198,3675,FEMALE,9.32169,-24.41562, +PAL0910,51,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N90A1,Yes,11/21/09,48.1,16.4,199,3325,FEMALE,9.46929,-24.48403, +PAL0910,52,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N90A2,Yes,11/21/09,51.4,19,201,3950,MALE,9.43782,-24.36202, +PAL0910,53,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N92A1,Yes,11/23/09,45.7,17.3,193,3600,FEMALE,9.415,-24.805, +PAL0910,54,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N92A2,Yes,11/23/09,50.7,19.7,203,4050,MALE,9.93727,-24.59066, +PAL0910,55,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N93A1,Yes,11/27/09,42.5,17.3,187,3350,FEMALE,9.56534,-24.60882, +PAL0910,56,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N93A2,Yes,11/27/09,52.2,18.8,197,3450,MALE,9.77528,-24.56481, +PAL0910,57,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N94A1,Yes,11/21/09,45.2,16.6,191,3250,FEMALE,9.62357,-24.78984, +PAL0910,58,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N94A2,Yes,11/21/09,49.3,19.9,203,4050,MALE,9.88809,-24.59513, +PAL0910,59,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N95A1,Yes,11/21/09,50.2,18.8,202,3800,MALE,9.74492,-24.404, +PAL0910,60,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N95A2,Yes,11/21/09,45.6,19.4,194,3525,FEMALE,9.46985,-24.65786, +PAL0910,61,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N96A1,Yes,11/27/09,51.9,19.5,206,3950,MALE,,-23.78767, +PAL0910,62,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N96A2,Yes,11/27/09,46.8,16.5,189,3650,FEMALE,9.65061,-24.48153, +PAL0910,63,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N98A1,Yes,11/19/09,45.7,17,195,3650,FEMALE,9.26715,-24.31912, +PAL0910,64,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N98A2,Yes,11/19/09,55.8,19.8,207,4000,MALE,9.70465,-24.53494, +PAL0910,65,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N99A1,No,11/21/09,43.5,18.1,202,3400,FEMALE,9.37608,-24.40753, +PAL0910,66,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N99A2,No,11/21/09,49.6,18.2,193,3775,MALE,9.4618,-24.70615, +PAL0910,67,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N100A1,Yes,11/21/09,50.8,19,210,4100,MALE,9.98044,-24.68741, +PAL0910,68,Chinstrap penguin (Pygoscelis antarctica),Anvers,Dream,"Adult, 1 Egg Stage",N100A2,Yes,11/21/09,50.2,18.7,198,3775,FEMALE,9.39305,-24.25255, +PAL0708,1,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N31A1,Yes,11/27/07,46.1,13.2,211,4500,FEMALE,7.993,-25.5139, +PAL0708,2,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N31A2,Yes,11/27/07,50,16.3,230,5700,MALE,8.14756,-25.39369, +PAL0708,3,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N32A1,Yes,11/27/07,48.7,14.1,210,4450,FEMALE,8.14705,-25.46172, +PAL0708,4,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N32A2,Yes,11/27/07,50,15.2,218,5700,MALE,8.2554,-25.40075, +PAL0708,5,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N33A1,Yes,11/18/07,47.6,14.5,215,5400,MALE,8.2345,-25.54456, +PAL0708,6,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N33A2,Yes,11/18/07,46.5,13.5,210,4550,FEMALE,7.9953,-25.32829, +PAL0708,7,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N34A1,Yes,11/27/07,45.4,14.6,211,4800,FEMALE,8.24515,-25.46782, +PAL0708,8,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N34A2,Yes,11/27/07,46.7,15.3,219,5200,MALE,8.22673,-25.4276, +PAL0708,9,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N35A1,Yes,11/27/07,43.3,13.4,209,4400,FEMALE,8.13643,-25.32176, +PAL0708,10,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N35A2,Yes,11/27/07,46.8,15.4,215,5150,MALE,8.1631,-25.38017, +PAL0708,11,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N36A1,No,11/27/07,40.9,13.7,214,4650,FEMALE,8.19579,-25.3933, +PAL0708,12,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N36A2,No,11/27/07,49,16.1,216,5550,MALE,8.10417,-25.50562, +PAL0708,13,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N37A1,Yes,11/29/07,45.5,13.7,214,4650,FEMALE,7.77672,-25.4168, +PAL0708,14,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N37A2,Yes,11/29/07,48.4,14.6,213,5850,MALE,7.8208,-25.48025, +PAL0708,15,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N38A1,Yes,12/3/07,45.8,14.6,210,4200,FEMALE,7.79958,-25.62618, +PAL0708,16,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N38A2,Yes,12/3/07,49.3,15.7,217,5850,MALE,8.07137,-25.52473, +PAL0708,17,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N39A1,Yes,11/27/07,42,13.5,210,4150,FEMALE,7.63884,-25.52627, +PAL0708,18,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N39A2,Yes,11/27/07,49.2,15.2,221,6300,MALE,8.27376,-25.00169, +PAL0708,19,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N40A1,Yes,11/27/07,46.2,14.5,209,4800,FEMALE,7.84057,-25.37899, +PAL0708,20,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N40A2,Yes,11/27/07,48.7,15.1,222,5350,MALE,7.96491,-25.39587, +PAL0708,21,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N41A1,Yes,11/27/07,50.2,14.3,218,5700,MALE,7.8962,-25.37746, +PAL0708,22,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N41A2,Yes,11/27/07,45.1,14.5,215,5000,FEMALE,7.6322,-25.46569, +PAL0708,23,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N42A1,Yes,11/27/07,46.5,14.5,213,4400,FEMALE,7.90436,-25.3947, +PAL0708,24,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N42A2,Yes,11/27/07,46.3,15.8,215,5050,MALE,7.90971,-25.38157, +PAL0708,25,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N44A1,Yes,11/29/07,42.9,13.1,215,5000,FEMALE,7.68528,-25.39181, +PAL0708,26,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N44A2,Yes,11/29/07,46.1,15.1,215,5100,MALE,7.83733,-25.42826, +PAL0708,27,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N46A1,Yes,11/29/07,44.5,14.3,216,4100,,7.96621,-25.69327, +PAL0708,28,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N46A2,Yes,11/29/07,47.8,15,215,5650,MALE,7.92358,-25.48383, +PAL0708,29,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N47A1,Yes,11/29/07,48.2,14.3,210,4600,FEMALE,7.6887,-25.50811, +PAL0708,30,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N47A2,Yes,11/29/07,50,15.3,220,5550,MALE,8.30515,-25.19017, +PAL0708,31,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N50A1,Yes,11/29/07,47.3,15.3,222,5250,MALE,,, +PAL0708,32,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N50A2,Yes,11/29/07,42.8,14.2,209,4700,FEMALE,7.63452,-25.46327, +PAL0708,33,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N56A1,Yes,12/3/07,45.1,14.5,207,5050,FEMALE,7.97408,-25.53768, +PAL0708,34,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N56A2,Yes,12/3/07,59.6,17,230,6050,MALE,7.76843,-25.6821, +PAL0809,35,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N2A1,Yes,11/13/08,49.1,14.8,220,5150,FEMALE,7.89744,-26.63405, +PAL0809,36,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N2A2,Yes,11/13/08,48.4,16.3,220,5400,MALE,8.03659,-26.86127, +PAL0809,37,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N4A1,Yes,11/2/08,42.6,13.7,213,4950,FEMALE,7.96935,-26.70968, +PAL0809,38,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N4A2,Yes,11/2/08,44.4,17.3,219,5250,MALE,8.13746,-26.79093, +PAL0809,39,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N5A1,Yes,11/9/08,44,13.6,208,4350,FEMALE,8.01979,-26.68311, +PAL0809,40,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N5A2,Yes,11/9/08,48.7,15.7,208,5350,MALE,8.14776,-26.84506, +PAL0809,41,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N6A1,No,11/4/08,42.7,13.7,208,3950,FEMALE,8.14567,-26.59467, +PAL0809,42,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N6A2,No,11/4/08,49.6,16,225,5700,MALE,8.38324,-26.84272, +PAL0809,43,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N7A1,Yes,11/4/08,45.3,13.7,210,4300,FEMALE,8.37615,-26.72791, +PAL0809,44,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N7A2,Yes,11/4/08,49.6,15,216,4750,MALE,8.26548,-26.7699, +PAL0809,45,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N8A1,Yes,11/3/08,50.5,15.9,222,5550,MALE,8.46894,-26.60436, +PAL0809,46,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N8A2,Yes,11/3/08,43.6,13.9,217,4900,FEMALE,8.27141,-26.7765, +PAL0809,47,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N11A1,No,11/9/08,45.5,13.9,210,4200,FEMALE,8.47829,-26.61788, +PAL0809,48,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N11A2,No,11/9/08,50.5,15.9,225,5400,MALE,8.65803,-26.57585, +PAL0809,49,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N12A1,Yes,11/2/08,44.9,13.3,213,5100,FEMALE,8.45167,-26.89644, +PAL0809,50,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N12A2,Yes,11/2/08,45.2,15.8,215,5300,MALE,8.55868,-26.67799, +PAL0809,51,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N13A1,Yes,11/4/08,46.6,14.2,210,4850,FEMALE,8.38289,-26.86352, +PAL0809,52,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N13A2,Yes,11/4/08,48.5,14.1,220,5300,MALE,8.39867,-26.79358, +PAL0809,53,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N14A1,Yes,11/4/08,45.1,14.4,210,4400,FEMALE,8.51951,-27.01854, +PAL0809,54,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N14A2,Yes,11/4/08,50.1,15,225,5000,MALE,8.50153,-26.61414, +PAL0809,55,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N15A1,Yes,11/4/08,46.5,14.4,217,4900,FEMALE,8.48789,-26.83006, +PAL0809,56,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N15A2,Yes,11/4/08,45,15.4,220,5050,MALE,8.63488,-26.75621, +PAL0809,57,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N16A1,Yes,11/3/08,43.8,13.9,208,4300,FEMALE,8.58319,-26.84415, +PAL0809,58,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N16A2,Yes,11/3/08,45.5,15,220,5000,MALE,8.63604,-26.7489, +PAL0809,59,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N17A1,Yes,11/6/08,43.2,14.5,208,4450,FEMALE,8.48367,-26.86485, +PAL0809,60,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N17A2,Yes,11/6/08,50.4,15.3,224,5550,MALE,8.74647,-26.79846, +PAL0809,61,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N18A1,Yes,11/3/08,45.3,13.8,208,4200,FEMALE,8.65015,-26.79053, +PAL0809,62,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N18A2,Yes,11/3/08,46.2,14.9,221,5300,MALE,8.60092,-26.84374, +PAL0809,63,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N19A1,Yes,11/13/08,45.7,13.9,214,4400,FEMALE,8.6287,-26.60484, +PAL0809,64,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N19A2,Yes,11/13/08,54.3,15.7,231,5650,MALE,8.49662,-26.84166, +PAL0809,65,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N20A1,Yes,11/4/08,45.8,14.2,219,4700,FEMALE,8.60447,-26.61601, +PAL0809,66,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N20A2,Yes,11/4/08,49.8,16.8,230,5700,MALE,8.47067,-26.69166, +PAL0809,67,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N51A1,Yes,11/9/08,46.2,14.4,214,4650,,8.24253,-26.8154, +PAL0809,68,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N51A2,Yes,11/9/08,49.5,16.2,229,5800,MALE,8.49854,-26.74809, +PAL0809,69,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N53A1,Yes,11/13/08,43.5,14.2,220,4700,FEMALE,8.64931,-26.68867, +PAL0809,70,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N53A2,Yes,11/13/08,50.7,15,223,5550,MALE,8.63551,-26.74249, +PAL0809,71,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N54A1,Yes,11/3/08,47.7,15,216,4750,FEMALE,8.53018,-26.72751, +PAL0809,72,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N54A2,Yes,11/3/08,46.4,15.6,221,5000,MALE,8.35078,-26.70783, +PAL0809,73,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N55A1,Yes,11/9/08,48.2,15.6,221,5100,MALE,8.24651,-26.66958, +PAL0809,74,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N55A2,Yes,11/9/08,46.5,14.8,217,5200,FEMALE,8.58487,-26.5929, +PAL0809,75,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N56A1,Yes,11/6/08,46.4,15,216,4700,FEMALE,8.47938,-26.9547, +PAL0809,76,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N56A2,Yes,11/6/08,48.6,16,230,5800,MALE,8.5964,-26.71199, +PAL0809,77,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N58A1,Yes,11/6/08,47.5,14.2,209,4600,FEMALE,8.39299,-26.78733, +PAL0809,78,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N58A2,Yes,11/6/08,51.1,16.3,220,6000,MALE,8.40327,-26.76821, +PAL0809,79,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N60A1,Yes,11/9/08,45.2,13.8,215,4750,FEMALE,8.24694,-26.65359, +PAL0809,80,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N60A2,Yes,11/9/08,45.2,16.4,223,5950,MALE,8.19749,-26.65931, +PAL0910,81,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N1A1,Yes,11/18/09,49.1,14.5,212,4625,FEMALE,8.35802,-26.2766, +PAL0910,82,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N1A2,Yes,11/18/09,52.5,15.6,221,5450,MALE,8.28601,-26.27573, +PAL0910,83,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N6A1,Yes,11/15/09,47.4,14.6,212,4725,FEMALE,8.19101,-26.24369, +PAL0910,84,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N6A2,Yes,11/15/09,50,15.9,224,5350,MALE,8.20042,-26.39677, +PAL0910,85,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N8A1,Yes,11/22/09,44.9,13.8,212,4750,FEMALE,8.11238,-26.20372, +PAL0910,86,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N8A2,Yes,11/22/09,50.8,17.3,228,5600,MALE,8.27428,-26.30019, +PAL0910,87,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N13A1,Yes,11/20/09,43.4,14.4,218,4600,FEMALE,8.23468,-26.18599, +PAL0910,88,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N13A2,Yes,11/20/09,51.3,14.2,218,5300,MALE,8.15426,-26.3433, +PAL0910,89,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N14A1,Yes,11/25/09,47.5,14,212,4875,FEMALE,8.12691,-26.23613, +PAL0910,90,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N14A2,Yes,11/25/09,52.1,17,230,5550,MALE,8.27595,-26.11657, +PAL0910,91,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N15A1,Yes,11/25/09,47.5,15,218,4950,FEMALE,8.29671,-26.08547, +PAL0910,92,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N15A2,Yes,11/25/09,52.2,17.1,228,5400,MALE,8.36701,-25.89834, +PAL0910,93,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N18A1,Yes,12/1/09,45.5,14.5,212,4750,FEMALE,8.15566,-26.22848, +PAL0910,94,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N18A2,Yes,12/1/09,49.5,16.1,224,5650,MALE,8.83352,-25.69195, +PAL0910,95,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N19A1,Yes,11/27/09,44.5,14.7,214,4850,FEMALE,8.20106,-26.16524, +PAL0910,96,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N19A2,Yes,11/27/09,50.8,15.7,226,5200,MALE,8.27102,-26.11244, +PAL0910,97,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N20A1,Yes,11/18/09,49.4,15.8,216,4925,MALE,8.03624,-26.06594, +PAL0910,98,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N20A2,Yes,11/18/09,46.9,14.6,222,4875,FEMALE,7.8881,-26.04726, +PAL0910,99,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N21A1,Yes,11/18/09,48.4,14.4,203,4625,FEMALE,8.16582,-26.13971, +PAL0910,100,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N21A2,Yes,11/18/09,51.1,16.5,225,5250,MALE,8.2066,-26.36863, +PAL0910,101,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N22A1,Yes,11/22/09,48.5,15,219,4850,FEMALE,8.10231,-26.18763, +PAL0910,102,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N22A2,Yes,11/22/09,55.9,17,228,5600,MALE,8.3118,-26.35425, +PAL0910,103,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N23A1,Yes,11/18/09,47.2,15.5,215,4975,FEMALE,8.30817,-26.21651, +PAL0910,104,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N23A2,Yes,11/18/09,49.1,15,228,5500,MALE,8.65914,-25.79203, +PAL0910,105,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N24A1,Yes,12/1/09,47.3,13.8,216,4725,,8.25818,-26.23886, +PAL0910,106,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N24A2,Yes,12/1/09,46.8,16.1,215,5500,MALE,8.32359,-26.05756, +PAL0910,107,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N28A1,Yes,11/10/09,41.7,14.7,210,4700,FEMALE,8.12311,-26.44815, +PAL0910,108,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N28A2,Yes,11/10/09,53.4,15.8,219,5500,MALE,8.41017,-26.33867, +PAL0910,109,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N29A1,Yes,11/9/09,43.3,14,208,4575,FEMALE,8.4207,-26.38092, +PAL0910,110,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N29A2,Yes,11/9/09,48.1,15.1,209,5500,MALE,8.45738,-26.22664, +PAL0910,111,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N32A1,Yes,11/20/09,50.5,15.2,216,5000,FEMALE,8.24691,-26.18466, +PAL0910,112,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N32A2,Yes,11/20/09,49.8,15.9,229,5950,MALE,8.29226,-26.21019, +PAL0910,113,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N34A1,Yes,11/27/09,43.5,15.2,213,4650,FEMALE,8.21634,-26.11046, +PAL0910,114,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N34A2,Yes,11/27/09,51.5,16.3,230,5500,MALE,8.78557,-25.76147, +PAL0910,115,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N35A1,Yes,11/25/09,46.2,14.1,217,4375,FEMALE,8.30231,-25.96013, +PAL0910,116,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N35A2,Yes,11/25/09,55.1,16,230,5850,MALE,8.08354,-26.18161, +PAL0910,117,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N36A1,Yes,12/1/09,44.5,15.7,217,4875,.,8.04111,-26.18444, +PAL0910,118,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N36A2,Yes,12/1/09,48.8,16.2,222,6000,MALE,8.33825,-25.88547, +PAL0910,119,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N38A1,No,12/1/09,47.2,13.7,214,4925,FEMALE,7.99184,-26.20538, +PAL0910,120,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N38A2,No,12/1/09,,,,,,,, +PAL0910,121,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N39A1,Yes,11/22/09,46.8,14.3,215,4850,FEMALE,8.41151,-26.13832, +PAL0910,122,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N39A2,Yes,11/22/09,50.4,15.7,222,5750,MALE,8.30166,-26.04117, +PAL0910,123,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N43A1,Yes,11/22/09,45.2,14.8,212,5200,FEMALE,8.24246,-26.11969, +PAL0910,124,Gentoo penguin (Pygoscelis papua),Anvers,Biscoe,"Adult, 1 Egg Stage",N43A2,Yes,11/22/09,49.9,16.1,213,5400,MALE,8.3639,-26.15531, \ No newline at end of file diff --git a/environment.yml b/environment.yml new file mode 100644 index 0000000000000000000000000000000000000000..30f19a9855db381c34e935fefe22a039084e0093 GIT binary patch literal 10046 zcmb7~$!;Ud5k+fl!2j@mfDMsq_46~Jh2gCYcwz4vAjCn`NDZXMkGFkKUWTe7vm`%5 zpr(q9jJR=Q$Rz*s?`?P1-FEBl&)qNG-@Ctc^X{MBKf0rC+WoQnL$~ZM^n9zYb$8S4 zB*lM!(bq(;Wp}41D@jbcbN&9|ov`0)1)dz~HLF&Dul=1Bt$2|=SP0jJb_QGaofc19nWgMomKY%E zy;@!C!Un86FRa)J%O~Of{b1v??2)ZpXz#O+nAAJp$hI@>eDR^7-Sw^@h$KwLQpcBg zWegWW1L+%CXc;{DEul7)iAeq)*?UFD$o$%%407;kt^JM8WkGYV|2X1DLdN!f>wZo4 zxxgSppZbg{y+}Lb|5KhuI-}hX}!BG8f

OFhnH8E#z;yf$<=NvtkoojvV zi?!_TI^yp`uaLYe9NQKQsC>2+=I7eKk%i|UNP&8*Z}ah-XFm#>8Ea}UEWei|(Z=hY z{-){?t3V0_a;5M}JaY#n_8>YfeJab+$B6iC(QiyGn=2hTzf`oS0g=b{s;+5BK1t@J z>{e@8$qTX%)G{0B3TN_jT{`>jqiQ0VkwFq}VGEhR5GqUxd#$JE^Yc`gI>&Ov+qL*a zC38kov0zL@tzHeY=r|L}dse`fKm_F6&xYK&l*C)lua)yuXG#3g(E2$fv>AvzUcCNW@11bN}IMi~94(rK|vFJZbBOHQn)`*2;c)SR&Md=XE zm6mDL#gMAIJDE~56M0W*)Li#q_>;5P_`J$K&bJXUq-rZ;;&Vl7Bla!}nE$P#%@ykH zqq-Y)b*JCY3qxWy$o&FYPR&f>(YyOPl#w2j9pYn7)bSZ##q0zkbl>P^bzU$5?eyj8 zlCy;+TNYb#FOPeD^u`>iTVdjpDQ6y{kEYs3WG33x^^wfLLdShvdM<>|KVk|BHOA;< zs-Y6BEZ-+4tX&qjC**wxlZyc!oFVY@i7~-94xs|l;UjKMw9uE=)5Y!nE8=td1?4g{w3E$8pRB%{COdukGu(N%;QnwgF}AD?L*7h+Pghweg`iTtLr#XX|) ztd2}{BX9&mEU#m6Q&9GPx!!UTC92%=xf-^sxjTruxt4c3)#rSsa0KWOwRW%N9*MhC z-)S)IQr*mTqL%9r`Ol85n*SfGb|1)pjs*8!YiV68BEHwg_O=?4=Sx{&7Q=OC2E8z6 z=bJhS8A{A!&LFCFw?bn+gRrY_ee0OM$$y{Eql!djXrseTm92~_61e7RlKmeF?y$r+ zlzEy8i4(<&Ndl((^gebsjWo<;?w}fgKujm(Yt6wo$-%U1{WRCw8#;8xt$_J~rfI{E zUTRX%XaC4L$BA_;4;(@<_W z(|ompnPDbdnWTLmi4|>TVg>Vp@A~7;`A3=S(4YAebphtI`N31>Ms^}=+tpi1_>>)U zDE`)a_`NH%QK$PeMaK6*Q6L&Tr{;Y>L?TOZpGwu4A1Xz>dos2!vScE+A>11Dcaco% z^~8WQtR{a~;sh8@WYM<#j;C-LJuz3-p1N*gAAZ1Q^RCV~p9hi^##0#J8;Uva%O;$VW$myP`VLhyH&)XKBaR1%g*UDc@ zo)xYBoC%?yTTP~wA&&i29a6|V9O44&-9x_VKRns15(S51MZ8D7DIM6jv$D0=mEW@> zR)7Q1Z1JN@-IP~ghEJ`vOo@&oddSc|yTd;6kIzi>?_f9z`J^Ax)PGmiK;P`Fz4rN+ z$(K8Zo$z7y@lAmBgMmFG_u)U&9iM3XtG@s2{-ssE1^U_jMOr+c_&nHua^q)V5;G2! Sj4b + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
studyNameSample NumberSpeciesRegionIslandStageIndividual IDClutch CompletionDate EggCulmen Length (mm)Culmen Depth (mm)Flipper Length (mm)Body Mass (g)SexDelta 15 N (o/oo)Delta 13 C (o/oo)Comments
0PAL07081Adelie Penguin (Pygoscelis adeliae)AnversTorgersenAdult, 1 Egg StageN1A1Yes11/11/0739.118.7181.03750.0MALENaNNaNNot enough blood for isotopes.
1PAL07082Adelie Penguin (Pygoscelis adeliae)AnversTorgersenAdult, 1 Egg StageN1A2Yes11/11/0739.517.4186.03800.0FEMALE8.94956-24.69454NaN
2PAL07083Adelie Penguin (Pygoscelis adeliae)AnversTorgersenAdult, 1 Egg StageN2A1Yes11/16/0740.318.0195.03250.0FEMALE8.36821-25.33302NaN
3PAL07084Adelie Penguin (Pygoscelis adeliae)AnversTorgersenAdult, 1 Egg StageN2A2Yes11/16/07NaNNaNNaNNaNNaNNaNNaNAdult not sampled.
4PAL07085Adelie Penguin (Pygoscelis adeliae)AnversTorgersenAdult, 1 Egg StageN3A1Yes11/16/0736.719.3193.03450.0FEMALE8.76651-25.32426NaN
+ + + + +The dataset seems correctly loaded. + +## 3) Inspect the dataset + +Use functions like head(), tail(), info() or describe() to get an overview of the dataset, its shape, and basic summary statistics to identify any immediate issues or patterns in the data. + + +```python +df.shape +``` + + + + + (344, 17) + + + + +```python +df.head() +``` + + + + +

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
studyNameSample NumberSpeciesRegionIslandStageIndividual IDClutch CompletionDate EggCulmen Length (mm)Culmen Depth (mm)Flipper Length (mm)Body Mass (g)SexDelta 15 N (o/oo)Delta 13 C (o/oo)Comments
0PAL07081Adelie Penguin (Pygoscelis adeliae)AnversTorgersenAdult, 1 Egg StageN1A1Yes11/11/0739.118.7181.03750.0MALENaNNaNNot enough blood for isotopes.
1PAL07082Adelie Penguin (Pygoscelis adeliae)AnversTorgersenAdult, 1 Egg StageN1A2Yes11/11/0739.517.4186.03800.0FEMALE8.94956-24.69454NaN
2PAL07083Adelie Penguin (Pygoscelis adeliae)AnversTorgersenAdult, 1 Egg StageN2A1Yes11/16/0740.318.0195.03250.0FEMALE8.36821-25.33302NaN
3PAL07084Adelie Penguin (Pygoscelis adeliae)AnversTorgersenAdult, 1 Egg StageN2A2Yes11/16/07NaNNaNNaNNaNNaNNaNNaNAdult not sampled.
4PAL07085Adelie Penguin (Pygoscelis adeliae)AnversTorgersenAdult, 1 Egg StageN3A1Yes11/16/0736.719.3193.03450.0FEMALE8.76651-25.32426NaN
+
+ + + + +```python +df.info() +``` + + + RangeIndex: 344 entries, 0 to 343 + Data columns (total 17 columns): + # Column Non-Null Count Dtype + --- ------ -------------- ----- + 0 studyName 344 non-null object + 1 Sample Number 344 non-null int64 + 2 Species 344 non-null object + 3 Region 344 non-null object + 4 Island 344 non-null object + 5 Stage 344 non-null object + 6 Individual ID 344 non-null object + 7 Clutch Completion 344 non-null object + 8 Date Egg 344 non-null object + 9 Culmen Length (mm) 342 non-null float64 + 10 Culmen Depth (mm) 342 non-null float64 + 11 Flipper Length (mm) 342 non-null float64 + 12 Body Mass (g) 342 non-null float64 + 13 Sex 334 non-null object + 14 Delta 15 N (o/oo) 330 non-null float64 + 15 Delta 13 C (o/oo) 331 non-null float64 + 16 Comments 26 non-null object + dtypes: float64(6), int64(1), object(10) + memory usage: 45.8+ KB + + + +```python +df.describe() +``` + + + + +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Sample NumberCulmen Length (mm)Culmen Depth (mm)Flipper Length (mm)Body Mass (g)Delta 15 N (o/oo)Delta 13 C (o/oo)
count344.000000342.000000342.000000342.000000342.000000330.000000331.000000
mean63.15116343.92193017.151170200.9152054201.7543868.733382-25.686292
std40.4301995.4595841.97479314.061714801.9545360.5517700.793961
min1.00000032.10000013.100000172.0000002700.0000007.632200-27.018540
25%29.00000039.22500015.600000190.0000003550.0000008.299890-26.320305
50%58.00000044.45000017.300000197.0000004050.0000008.652405-25.833520
75%95.25000048.50000018.700000213.0000004750.0000009.172123-25.062050
max152.00000059.60000021.500000231.0000006300.00000010.025440-23.787670
+
+ + + + +```python +# get the number of unique values for each column +df.nunique() +``` + + + + + studyName 3 + Sample Number 152 + Species 3 + Region 1 + Island 3 + Stage 1 + Individual ID 190 + Clutch Completion 2 + Date Egg 50 + Culmen Length (mm) 164 + Culmen Depth (mm) 80 + Flipper Length (mm) 55 + Body Mass (g) 94 + Sex 3 + Delta 15 N (o/oo) 330 + Delta 13 C (o/oo) 331 + Comments 7 + dtype: int64 + + + + +```python +# remove the columns with only one unique value because are useless for the analysis but +# keep it in a separate dataframe +df_unique = df.loc[:, df.nunique() == 1] +df_unique.head() +``` + + + + +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
RegionStage
0AnversAdult, 1 Egg Stage
1AnversAdult, 1 Egg Stage
2AnversAdult, 1 Egg Stage
3AnversAdult, 1 Egg Stage
4AnversAdult, 1 Egg Stage
+
+ + + + +```python +# drop the columns with only one unique value +df.drop(df_unique.columns, axis=1, inplace=True) +``` + + +```python +# list all comments +df['Comments'].unique() +``` + + + + + array(['Not enough blood for isotopes.', nan, 'Adult not sampled.', + 'Nest never observed with full clutch.', + 'No blood sample obtained.', + 'No blood sample obtained for sexing.', + 'Nest never observed with full clutch. Not enough blood for isotopes.', + 'Sexing primers did not amplify. Not enough blood for isotopes.'], + dtype=object) + + + + +```python +# shows the blood info column that has a comment and its comment +df[df['Comments'].notnull()][['Sex', 'Clutch Completion', 'Delta 15 N (o/oo)', 'Delta 13 C (o/oo)', 'Comments']] +``` + + + + +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
SexClutch CompletionDelta 15 N (o/oo)Delta 13 C (o/oo)Comments
0MALEYesNaNNaNNot enough blood for isotopes.
3NaNYesNaNNaNAdult not sampled.
6FEMALENo9.18718-25.21799Nest never observed with full clutch.
7MALENo9.46060-24.89958Nest never observed with full clutch.
8NaNYesNaNNaNNo blood sample obtained.
9NaNYes9.13362-25.09368No blood sample obtained for sexing.
10NaNYes8.63243-25.21315No blood sample obtained for sexing.
11NaNYesNaNNaNNo blood sample obtained.
12FEMALEYesNaNNaNNot enough blood for isotopes.
13MALEYesNaNNaNNot enough blood for isotopes.
15FEMALEYesNaNNaNNot enough blood for isotopes.
28FEMALENo8.38404-25.19837Nest never observed with full clutch.
29MALENo8.90027-25.11609Nest never observed with full clutch.
38FEMALENo9.41131-25.04169Nest never observed with full clutch.
39MALENoNaNNaNNest never observed with full clutch. Not enou...
41MALEYesNaNNaNNot enough blood for isotopes.
46MALEYesNaNNaNNot enough blood for isotopes.
47NaNYesNaNNaNSexing primers did not amplify. Not enough blo...
68FEMALENo8.47781-26.07821Nest never observed with full clutch.
69MALENo8.86853-26.06209Nest never observed with full clutch.
120FEMALENo9.04296-26.19444Nest never observed with full clutch.
121MALENo9.11066-26.42563Nest never observed with full clutch.
130FEMALENo8.98460-25.57956Nest never observed with full clutch.
131MALENo8.86495-26.13960Nest never observed with full clutch.
138FEMALENo8.61651-26.07021Nest never observed with full clutch.
139MALENo9.25769-25.88798Nest never observed with full clutch.
+
+ + + + +```python +# drop the comments useless column +df.drop('Comments', axis=1, inplace=True) +df.head() +``` + + + + +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
studyNameSample NumberSpeciesIslandIndividual IDClutch CompletionDate EggCulmen Length (mm)Culmen Depth (mm)Flipper Length (mm)Body Mass (g)SexDelta 15 N (o/oo)Delta 13 C (o/oo)
0PAL07081Adelie Penguin (Pygoscelis adeliae)TorgersenN1A1Yes11/11/0739.118.7181.03750.0MALENaNNaN
1PAL07082Adelie Penguin (Pygoscelis adeliae)TorgersenN1A2Yes11/11/0739.517.4186.03800.0FEMALE8.94956-24.69454
2PAL07083Adelie Penguin (Pygoscelis adeliae)TorgersenN2A1Yes11/16/0740.318.0195.03250.0FEMALE8.36821-25.33302
3PAL07084Adelie Penguin (Pygoscelis adeliae)TorgersenN2A2Yes11/16/07NaNNaNNaNNaNNaNNaNNaN
4PAL07085Adelie Penguin (Pygoscelis adeliae)TorgersenN3A1Yes11/16/0736.719.3193.03450.0FEMALE8.76651-25.32426
+
+ + + + +```python +# count the number of "sample number" unique repetitions +df['Sample Number'].value_counts() +``` + + + + + 1 3 + 45 3 + 52 3 + 51 3 + 50 3 + .. + 129 1 + 128 1 + 127 1 + 126 1 + 152 1 + Name: Sample Number, Length: 152, dtype: int64 + + + + +```python +# drop the sample number column +df.drop('Sample Number', axis=1, inplace=True) + +df.head() +``` + + + + +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
studyNameSpeciesIslandIndividual IDClutch CompletionDate EggCulmen Length (mm)Culmen Depth (mm)Flipper Length (mm)Body Mass (g)SexDelta 15 N (o/oo)Delta 13 C (o/oo)
0PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN1A1Yes11/11/0739.118.7181.03750.0MALENaNNaN
1PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN1A2Yes11/11/0739.517.4186.03800.0FEMALE8.94956-24.69454
2PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN2A1Yes11/16/0740.318.0195.03250.0FEMALE8.36821-25.33302
3PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN2A2Yes11/16/07NaNNaNNaNNaNNaNNaNNaN
4PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN3A1Yes11/16/0736.719.3193.03450.0FEMALE8.76651-25.32426
+
+ + + +The dataset consist in 17 features and 344 samples. The dataset contains 7 pure numerical features. Many values are missing and have been replaced by NaN. The dataset has 1 date feature. Some columns are clearly useless. + +The numerical features have different scales, and could be useful to apply some scaling later. Also, these values are not too big, therefore should not be a problem to manipulate them. + +Also, the columns "Region" and "Stage" have been dropped because they contain only one value. + +The "comments" columns contains 26 non-null values where only 6 are comments, this comments basically says that they couldn't get the sample since the blood wasn't enough or that "Nest never observed with full clutch". We can say that because the blood information are missing in the first case, or because the column "Clutch completion" is "No", the comments are redundant and can be dropped since they add no information. + +The comment "No blood sample obtained for sexing" indicate that these researchers used the blood sample to determinate the sex, so if +they failed to amplify the DNA or didn't take enough blood, the sex of the penguin will be empty. + +The "Sample Number" column contains 152 unique values, but the column "Individual ID" contains 191 unique values. This means that some samples are from the same penguin. This is may not a problem, but I need to keep it in mind. The total number of samples is 344, but the total number of unique "Sample Number" is 152, this because some penguins have been sampled more than once with the same "Individual ID". And a sample get more individuals in one go. This means I can drop the sample ID because is an arbitrary number that add no information other than a chronological order, which is already in the date feature, but I will keep the Individual ID. + +The "Study number" may also be dropped since there is logic correlation and seems less important at this point, but I will keep it for now. + +## 4 Data type conversion + +Ensure that each variable is of the appropriate data type (e.g., numeric, categorical, datetime). +Convert any variables with incorrect data types. +Convert with LabelEncoder or OrdinalEncoder. + +In the step 3 I found out many columns that need to be converted to the correct data type. + +For this step I looked at the values of the non-numerical columns, if they are non-ordinal and only 2 values are possible (eg: sex) +I will use the LabelEncoder, if more than 2 values are possible I will use the OneHotEncoder (eg: species). +If the values are ordinal I will use the OrdinalEncoder. + +Since the "Individual ID" is non-ordinal but contains a lot of unique values, I will encode is with the label encoder +because the one-hot encoder could generate too many columns. I could then reduce the number of columns with a PCA, but this +may start to be too complicated for a TP. + +Also, I will convert the "Date Egg" column to a datetime format. + +To simplify the coding and encoding I wrote a convenience class that will do all the work for me. + + +```python +# Import the custom EncoderManager class +%load_ext autoreload +%autoreload 2 + +from lib.EncoderManager import EncoderManager +``` + + The autoreload extension is already loaded. To reload it, use: + %reload_ext autoreload + + + +```python +# list of non-numerical columns and the count of their unique values +df.select_dtypes(exclude='number').nunique() +``` + + + + + studyName 3 + Species 3 + Island 3 + Individual ID 190 + Clutch Completion 2 + Date Egg 50 + Sex 3 + dtype: int64 + + + + +```python +# Convert to date with pandas.to_datetime +df['Date Egg'] = pd.to_datetime(df['Date Egg']) + +# Define the columns to encode with LabelEncoder +columns_to_label_encode = ['Clutch Completion', 'Sex', 'Individual ID'] + +# Define the columns to encode with OrdinalEncoder +# since the date type gives me many problem il convert it to ordinal +# however, this column is not very interesting for the prediction +columns_to_ordinal_encode = ["Date Egg"] + +# Define the columns to encode with OneHotEncoder +columns_to_onehot_encode = ['studyName', 'Species', 'Island'] +``` + + +```python +penguin_manager = EncoderManager(df, columns_to_label_encode, columns_to_ordinal_encode, columns_to_onehot_encode) + +penguin_manager.encode(inplace=True).get_df() +``` + + + + +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Individual IDClutch CompletionDate EggCulmen Length (mm)Culmen Depth (mm)Flipper Length (mm)Body Mass (g)SexDelta 15 N (o/oo)Delta 13 C (o/oo)studyName_PAL0708studyName_PAL0809studyName_PAL0910Species_Adelie Penguin (Pygoscelis adeliae)Species_Chinstrap penguin (Pygoscelis antarctica)Species_Gentoo penguin (Pygoscelis papua)Island_BiscoeIsland_DreamIsland_Torgersen
02212.039.118.7181.03750.02NaNNaN1.00.00.01.00.00.00.00.01.0
12312.039.517.4186.03800.018.94956-24.694541.00.00.01.00.00.00.00.01.0
24416.040.318.0195.03250.018.36821-25.333021.00.00.01.00.00.00.00.01.0
34516.0NaNNaNNaNNaN3NaNNaN1.00.00.01.00.00.00.00.01.0
46616.036.719.3193.03450.018.76651-25.324261.00.00.01.00.00.00.00.01.0
............................................................
33963049.0NaNNaNNaNNaN3NaNNaN0.00.01.00.00.01.01.00.00.0
34064145.046.814.3215.04850.018.41151-26.138320.00.01.00.00.01.01.00.00.0
34165145.050.415.7222.05750.028.30166-26.041170.00.01.00.00.01.01.00.00.0
34274145.045.214.8212.05200.018.24246-26.119690.00.01.00.00.01.01.00.00.0
34375145.049.916.1213.05400.028.36390-26.155310.00.01.00.00.01.01.00.00.0
+

344 rows × 19 columns

+
+ + + + +```python +penguin_manager = EncoderManager(df, columns_to_label_encode, columns_to_ordinal_encode, columns_to_onehot_encode) +df = penguin_manager.get_df() +df["Species"].unique() +``` + + + + + array(['Adelie Penguin (Pygoscelis adeliae)', + 'Chinstrap penguin (Pygoscelis antarctica)', + 'Gentoo penguin (Pygoscelis papua)'], dtype=object) + + + + +```python +df = penguin_manager.get_df() +df["Island"].unique() +``` + + + + + array(['Torgersen', 'Biscoe', 'Dream'], dtype=object) + + + + +```python +df = penguin_manager.get_df() +df["studyName"].unique() +``` + + + + + array(['PAL0708', 'PAL0809', 'PAL0910'], dtype=object) + + + +So now I have a correctly encoded dataset, and I can easily decode it back to the original format with the penguin_manager.decode() method. + +## 5 Identify missing values + +Determine the extent of missing values in the dataset by calculating the percentage of missing values for each variable. +Decide whether to impute, drop, or interpolate missing values based on the context and the importance of the variable. + +For this step I will use the library missingno to visualize the missing values. Missingno is a library specialized in visualize the *missing values* in a dataset in a very intuitive way. + + +```python +# if uncommented, install missingno if not already installed +# !pip install missingno +# note: to works it need matplotlib=3.5.0 +import missingno as msno +``` + + +```python +# visualize a matrix of the missing values +warnings.filterwarnings('ignore') +msno.matrix(penguin_manager.get_df()) +warnings.filterwarnings('default') +``` + + + +![png](output_28_0.png) + + + +With this matrix plot in particular we can see which column has missing value (axis x) in function of the sample index (axis y). Also, on the right side there is a line that shows the number of non-missing in that "zone" of the matrix. + +With this we can also see if some zone contains the missing values are missing in a specific zone, in more columns together, or if they are missing randomly. + +In this dataset we see that the 2 blood measures are missing together. Which il logic if we think that those aren't taken if they could get enough blood from the penguin. The measures of the anatomical parts also tend to miss together. Also, we see some missing values in the "sex" column. Later in this step i want to see if this value could be inferred by another sample of the same penguin "Individual ID". Or maybe, since usually sex differences are quite evident, I could try to predict it with a machine learning model. + +We can also see that in the firsts and lasts samples some row are missing many columns, in this case could be simpler to drop those rows because they are missing too many values. + + +```python +# get an idea of what to expect in terms of missing values +penguin_manager.get_df().isna().sum() +``` + + + + + studyName 0 + Species 0 + Island 0 + Individual ID 0 + Clutch Completion 0 + Date Egg 0 + Culmen Length (mm) 2 + Culmen Depth (mm) 2 + Flipper Length (mm) 2 + Body Mass (g) 2 + Sex 10 + Delta 15 N (o/oo) 14 + Delta 13 C (o/oo) 13 + dtype: int64 + + + + +```python +# visualize a bar chart of the missing values +msno.bar(penguin_manager.get_df()) +``` + + + + + + + + + + +![png](output_31_1.png) + + + +With this bar chart we can see that even if some values are missing and at which percentage, overall the dataset is quite complete and quite balanced. Some data is missing in the columns as we seen in the matrix plot. + +With this bar chart we can see that even if some values are missing, overall the dataset is quite complete. + + +```python +# heatmap of the missing values +warnings.filterwarnings('ignore') +msno.heatmap(penguin_manager.get_df()) +warnings.filterwarnings('default') +``` + + + +![png](output_34_0.png) + + + +The nullity correlation heatmap measures how strongly the presence or absence of one variable affects the presence of another. As we noticed before, the blood measures are missing together, and also the anatomical measures are missing together. This is why we see a strong correlation between those columns. For the other columns, we see that there is still a correlation of 0.4, this means that 40% of the values are missing in the same sample which something be aware of. + + +```python +# dendrogram of the missing values +msno.dendrogram(penguin_manager.get_df()) +``` + + + + + + + + + + +![png](output_36_1.png) + + + +The last plot is the dendrogram, which groups together the columns that have missing values in the same samples. We can see that the blood measures are coupled first as expected, the second couple is specie and flipper (and in general all anatomical measures), may be worth to look further into that. + +At this point the first thing to do is to drop the rows that have too many missing values, and then decide what to do with the other missing values. I will drop this values because there is too little information to infer them. + + +```python +# return only the cols with at least 5 missing values +penguin_manager.get_df()[penguin_manager.get_df().isna().sum(axis=1) > 5] +``` + + + + +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
studyNameSpeciesIslandIndividual IDClutch CompletionDate EggCulmen Length (mm)Culmen Depth (mm)Flipper Length (mm)Body Mass (g)SexDelta 15 N (o/oo)Delta 13 C (o/oo)
3PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN2A2Yes2007-11-16NaNNaNNaNNaNNaNNaNNaN
339PAL0910Gentoo penguin (Pygoscelis papua)BiscoeN38A2No2009-12-01NaNNaNNaNNaNNaNNaNNaN
+
+ + + + +```python +# drop the rows with at least 5 missing values +# Note: a faster solution would be to use dropna() with the threshold parameter, but +# after some try I found that it doesn't work and I don't know why +# so this is an alternative solution +missing_vals = penguin_manager.get_df().isna().sum(axis=1) + +drop_rows = missing_vals[missing_vals > 5].index + +penguin_manager.get_df().drop(drop_rows, inplace=True) +penguin_manager.get_df().reset_index(drop=True, inplace=True) + +penguin_manager.get_df()[penguin_manager.get_df().isna().sum(axis=1) > 5] +``` + + + + +
+ + + + + + + + + + + + + + + + + + + + + + +
studyNameSpeciesIslandIndividual IDClutch CompletionDate EggCulmen Length (mm)Culmen Depth (mm)Flipper Length (mm)Body Mass (g)SexDelta 15 N (o/oo)Delta 13 C (o/oo)
+
+ + + + +```python +# check the shape of the dataset +penguin_manager.get_df().shape +``` + + + + + (342, 13) + + + +This dropped 2 rows, which is not a big deal, and now we have a dataset with 334 rows but with way less missing values. + + +```python +# check the missing values +penguin_manager.get_df().isna().sum() +``` + + + + + studyName 0 + Species 0 + Island 0 + Individual ID 0 + Clutch Completion 0 + Date Egg 0 + Culmen Length (mm) 0 + Culmen Depth (mm) 0 + Flipper Length (mm) 0 + Body Mass (g) 0 + Sex 8 + Delta 15 N (o/oo) 12 + Delta 13 C (o/oo) 11 + dtype: int64 + + + +There is still a problem with the columns "sex", "Delta 15 N (o/oo)", "Delta 13 C (o/oo)". + +First I want to see if the sex of some penguin is in another sample. + + +```python +# get rows with empty values and extract its "Individual ID" +empty_ind_id = penguin_manager.get_df()[penguin_manager.get_df().isna().any(axis=1)]["Individual ID"].unique() +# then get the rows with the same "Individual ID" +row_ind_id = penguin_manager.get_df()[penguin_manager.get_df()["Individual ID"].isin(empty_ind_id)] +# now groups by individual id and see if there are samples with NaNs and not NaNs +row_ind_id_groups = row_ind_id.groupby("Individual ID").apply(lambda x: x.isna().any(axis=1).value_counts()) +# True means that there is at least one NaN in the sample +row_ind_id_groups +``` + + + + + Individual ID + N1A1 True 1 + False 1 + N24A1 False 2 + True 1 + N25A2 True 1 + False 1 + N26A2 True 1 + N29A1 False 2 + True 1 + N29A2 False 2 + True 1 + N46A1 False 1 + True 1 + N50A1 False 1 + True 1 + N51A1 False 1 + True 1 + N5A1 True 1 + False 1 + N5A2 True 1 + False 1 + N6A1 False 2 + True 1 + N6A2 False 2 + True 1 + N7A1 True 1 + False 1 + N7A2 True 1 + False 1 + N8A2 False 2 + True 1 + N96A1 True 1 + dtype: int64 + + + + +```python +# Now groups by individual id and see if there are samples with NaNs and not NaNs in the Sex column +row_ind_id_sex = row_ind_id.groupby("Individual ID").apply(lambda x: x["Sex"].isna().value_counts()) + +# True means that there is at least one NaN in the Sex column +row_ind_id_sex +``` + + + + + Individual ID + N1A1 False 2 + N24A1 False 2 + True 1 + N25A2 False 2 + N26A2 False 1 + N29A1 False 3 + N29A2 False 2 + True 1 + N46A1 False 1 + True 1 + N50A1 False 2 + N51A1 False 1 + True 1 + N5A1 True 1 + False 1 + N5A2 True 1 + False 1 + N6A1 False 2 + True 1 + N6A2 False 2 + True 1 + N7A1 False 2 + N7A2 False 2 + N8A2 False 3 + N96A1 False 1 + Name: Sex, dtype: int64 + + + +Is interesting to see that some individuals have NaNs in some sample but not in others. This means we may know the truth for each sample of these individuals. + +In the case of "Sex" I can directly address that. + + +```python +# get the samples with nans in the column "Sex" +samples_with_nans = penguin_manager.get_df()[penguin_manager.get_df().isna().any(axis=1)] +samples_with_nans = samples_with_nans[samples_with_nans["Sex"].isna()] + +# now for each individual id that have rows with nans get its rows +for individual_id in empty_ind_id: + # get rows with the same individual id + rows = penguin_manager.get_df()[penguin_manager.get_df()["Individual ID"] == individual_id] + + # check if Sex column has a non-null value + sex_values = rows["Sex"].dropna().unique() + if len(sex_values) == 1: + sex = sex_values[0] + # assign sex to all rows with the same individual id + penguin_manager.get_df().loc[penguin_manager.get_df()["Individual ID"] == individual_id, "Sex"] = sex + +# check the empty rows +count_nans = penguin_manager.get_df()["Sex"].isna().sum() +count_nans +``` + + + + + 1 + + + +The code is correct, but it didn't edit the added the sex to the rows. I don't know why, I need to investigate further. + +Let's see the rows that still have NaNs: + + +```python +# print the columns with empty values +penguin_manager.get_df().loc[penguin_manager.get_df().isna().any(axis=1)][["Individual ID", "Sex"]] +``` + + + + +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Individual IDSex
0N1A1MALE
7N5A1FEMALE
10N6A2MALE
11N7A1FEMALE
12N7A2MALE
14N8A2FEMALE
38N25A2MALE
40N26A2MALE
45N29A1MALE
46N29A2MALE
211N96A1MALE
249N50A1MALE
323N24A1NaN
+
+ + + +Apparently the individual ID is not the id of a single penguin, OR the sample have wrong values. OR penguins have the ability to change sex... + +*Note: After some research it turned out that Adélie penguin (Pygoscelis Adelia) e il Chinstrap penguin (Pygoscelis antarctica) and Gentoo penguin (Pygoscelis papua) actually have the ability to change sex...* this is actually something important to keep in mind, and it explains why there are +Individuals with different sex in different samples. This means that would be useless to inference the sex based on the anatomical measures, because they cannot be related, at least not in these 3 species. + +I also mean that in out dataset the only way to know the sex is through blood isotopes, but they are missing for these rows. + +## 6 Detect and handle outliers + +Use techniques like box plots, Z-scores, or IQR to identify potential outliers in the data. Depending on the context, decide whether to remove, transform, or keep outliers. + +Using to describe() before, I had the idea there wasn't anything strange in the dataset, but I want to be sure. So I will look further into it. + + +```python +sns.boxplot(data=penguin_manager.get_df().select_dtypes(include=['float64', 'int64'])) +``` + + + + + + + + + + +![png](output_52_1.png) + + + +The body mass values are in a different range than the other values. + + +```python +numerical_cols = penguin_manager.get_df().select_dtypes(include=['float64', 'int64']) + +# Creare un boxplot per ogni colonna numerica +for col in numerical_cols: + sns.boxplot(x=penguin_manager.get_df()[col]) + plt.title(col) + plt.show() +``` + + + +![png](output_54_0.png) + + + + + +![png](output_54_1.png) + + + + + +![png](output_54_2.png) + + + + + +![png](output_54_3.png) + + + + + +![png](output_54_4.png) + + + + + +![png](output_54_5.png) + + + +There are evident no outliers in the dataset seen with the box plot. + +I will calculate using the standard deviation method. + + +```python +numerical_cols = penguin_manager.get_df().select_dtypes(include=['float64', 'int64']) + +means = numerical_cols.mean() +stds = numerical_cols.std() + +# set the threshold to 3 standard deviations +threshold = 3 + +outliers = pd.DataFrame() + +for col in numerical_cols.columns: + col_outliers = penguin_manager.get_df()[(penguin_manager.get_df()[col] < means[col] - threshold * stds[col]) | + (penguin_manager.get_df()[col] > means[col] + threshold * stds[col])] + col_outliers['feature'] = col + outliers = pd.concat([outliers, col_outliers]) + +outliers.head() +``` + + + + +
+ + + + + + + + + + + + + + + + + + + + + + + +
studyNameSpeciesIslandIndividual IDClutch CompletionDate EggCulmen Length (mm)Culmen Depth (mm)Flipper Length (mm)Body Mass (g)SexDelta 15 N (o/oo)Delta 13 C (o/oo)feature
+
+ + + +Even this method doesn't find any outliers for 3 standard deviations. + +Calculating the z-score (how many st dev from the mean): + + +```python +warnings.filterwarnings('ignore') +!pip install scipy +from scipy.stats import zscore +warnings.filterwarnings('default') +``` + + Requirement already satisfied: scipy in c:\users\stefa\miniconda3\envs\mchinelearning\lib\site-packages (1.9.3) + Requirement already satisfied: numpy<1.26.0,>=1.18.5 in c:\users\stefa\miniconda3\envs\mchinelearning\lib\site-packages (from scipy) (1.23.5) + + + +```python +z_scores = np.abs(zscore(penguin_manager.get_df().select_dtypes(include=['float64', 'int64']))) + +# print the rows with z-score > 3 or < -3 +penguin_manager.get_df()[(z_scores > 3).any(axis=1)] +``` + + + + +
+ + + + + + + + + + + + + + + + + + + + + + +
studyNameSpeciesIslandIndividual IDClutch CompletionDate EggCulmen Length (mm)Culmen Depth (mm)Flipper Length (mm)Body Mass (g)SexDelta 15 N (o/oo)Delta 13 C (o/oo)
+
+ + + +Overall, no outliers have been found. + +At this point I can say that there are no important outliers in the dataset, so I can move on. + +## 7 Analyze relationships between variables + +Using scatter plots, correlation matrices, and cross-tabulations to explore relationships between pairs of variables. This will help identify potential multicollinearity, interactions, or confounding variables that may need to be addressed in your analysis. + +I will create some scatter plot and a bubble plot (no need for both, it's for future reference, where I could add a third numerical dimension) to see if there are some correlations between the features: + + +```python +numerical_cols = penguin_manager.decode().select_dtypes(include=['float64', 'int64']) +columns = numerical_cols.columns + +nrows = len(columns) - 1 +ncols = 2 + +fig, axs = plt.subplots(nrows=nrows, ncols=ncols, figsize=(15, 5 * nrows)) + +for i, col1 in enumerate(columns[:-1]): + for j, col2 in enumerate(columns[i + 1:]): + if j * 2 < ncols: + axs[i, j * 2].scatter(penguin_manager.get_df()[col1], penguin_manager.get_df()[col2]) + axs[i, j * 2].set_xlabel(col1) + axs[i, j * 2].set_ylabel(col2) + if j * 2 + 1 < ncols: + axs[i, j * 2 + 1].scatter(penguin_manager.get_df()[col1], penguin_manager.get_df()[col2], s=penguin_manager.get_df()['Body Mass (g)'] / 20) + axs[i, j * 2 + 1].set_xlabel(col1) + axs[i, j * 2 + 1].set_ylabel(col2) + axs[i, j * 2 + 1].set_title('Bubble plot - Body Mass') + +plt.tight_layout() +plt.show() +``` + + + +![png](output_62_0.png) + + + +Some couple also have a good correlation, some of them appear to be grouped in a cluster, it may be the "Sex", the "Species" or the "Island". But I will check that. + +I will do the same with sns.pairplot, but with all features and I will add the sex, island and species as hue. + + +```python +# Plot the pairwise relationships between the columns +sns.pairplot(penguin_manager.get_df(), vars=numerical_cols.columns[:-1], hue="Sex") +``` + + + + + + + + + + +![png](output_64_1.png) + + + +No important correlation with sex found in the scatter plot, which is expected since now I know they can change sex. + + +```python +sns.pairplot(penguin_manager.get_df(), vars=numerical_cols.columns[:-1], hue="Island") +``` + + + + + + + + + + +![png](output_66_1.png) + + + +The correlation with the island may be a little more evident, but it's not very important. + + +```python +sns.pairplot(penguin_manager.get_df(), vars=numerical_cols.columns[:-1], hue="Species") +``` + + + + + + + + + + +![png](output_68_1.png) + + + +The correlation with the species seems to be more important since the clusters and normal distributions are more evident. + +Graphically we can see a good correlation between many couples, for instance the features body mass and flipper length is very correlated. + +But also compared to the 3 nominal category, we can see that some clusters are formed, and some of this cluster also have a linear correlation. Also, this separation clearly shows a that there is a tendency in the normal distributions of the features that doesn't appear with the sex separation. The most evident is the species separation. + +Overall, species and island seems to be more informative than sex. Again, these penguins can change sex and it seems that the only way to find the sex is though blood isotopes. + +Now I will check it with the linear correlation matrix. + + +```python +# Get the numerical columns +numerical_cols = penguin_manager.get_df().select_dtypes(include=['float64', 'int64']) +columns = numerical_cols.columns + +# Create a new dataframe without NaN values +noNan = penguin_manager.get_df().dropna() + +corr_matrix = noNan.corr(numeric_only=True) + +fig, ax = plt.subplots(figsize=(10, 10)) + +warnings.filterwarnings('ignore') +sns.heatmap(corr_matrix, annot=True, cmap="coolwarm", ax=ax) +warnings.filterwarnings('default') + +ax.set_title("Linea Correlation Matrix") + +plt.show() +``` + + + +![png](output_71_0.png) + + + +This also shows a correlation between the features body mass and flipper length. As well as some others important correlations of couples. + +Now I will check the correlation with the Spearman method which is used to find non-linear correlations. There is also the Kendall method, but I will use only the Spearman method. + + +```python +# Create a new dataframe without NaN values +noNan = penguin_manager.get_df().dropna() + +# Create the correlation matrix with the spearman method +spearmanCorrMatrix = noNan.corr(method='spearman', numeric_only=True) + +sns.heatmap(spearmanCorrMatrix, annot=True) +``` + + + + + + + + + + +![png](output_73_1.png) + + + +This method shows a correlation based on the monotone relationship between the features. This means tha the also linear correlation is taken into account. The result are similar to the linear correlation matrix. + +However, to see a better correlation I should check after grouping by the nominal features which I won't do. + + + + +```python +penguin_manager.get_df() +``` + + + + +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
studyNameSpeciesIslandIndividual IDClutch CompletionDate EggCulmen Length (mm)Culmen Depth (mm)Flipper Length (mm)Body Mass (g)SexDelta 15 N (o/oo)Delta 13 C (o/oo)
0PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN1A1Yes2007-11-1139.118.7181.03750.0MALENaNNaN
1PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN1A2Yes2007-11-1139.517.4186.03800.0FEMALE8.94956-24.69454
2PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN2A1Yes2007-11-1640.318.0195.03250.0FEMALE8.36821-25.33302
3PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN3A1Yes2007-11-1636.719.3193.03450.0FEMALE8.76651-25.32426
4PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN3A2Yes2007-11-1639.320.6190.03650.0MALE8.66496-25.29805
..........................................
337PAL0910Gentoo penguin (Pygoscelis papua)BiscoeN38A1No2009-12-0147.213.7214.04925.0FEMALE7.99184-26.20538
338PAL0910Gentoo penguin (Pygoscelis papua)BiscoeN39A1Yes2009-11-2246.814.3215.04850.0FEMALE8.41151-26.13832
339PAL0910Gentoo penguin (Pygoscelis papua)BiscoeN39A2Yes2009-11-2250.415.7222.05750.0MALE8.30166-26.04117
340PAL0910Gentoo penguin (Pygoscelis papua)BiscoeN43A1Yes2009-11-2245.214.8212.05200.0FEMALE8.24246-26.11969
341PAL0910Gentoo penguin (Pygoscelis papua)BiscoeN43A2Yes2009-11-2249.916.1213.05400.0MALE8.36390-26.15531
+

342 rows × 13 columns

+
+ + + +## 8 Explore categorical variables + +Investigate the distribution of categorical variables using frequency tables, bar plots, or pie charts. Look for patterns, imbalances, or rare categories that may require special handling. + + +```python +# get the categorical columns +categorical_cols = penguin_manager.get_df().select_dtypes(include=['object']) +df_categorical = penguin_manager.get_df()[categorical_cols.columns] +df_categorical.describe() +``` + + + + +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
studyNameSpeciesIslandIndividual IDClutch CompletionSex
count342342342342342341
unique33319023
topPAL0910Adelie Penguin (Pygoscelis adeliae)BiscoeN69A1YesMALE
freq1191511673307171
+
+ + + +### Species + + +```python +# shows the species distribution +sns.countplot(x='Species', data=df_categorical) +plt.title("Species distribution") +``` + + + + + Text(0.5, 1.0, 'Species distribution') + + + + + +![png](output_80_1.png) + + + + +```python +# shows on which island species live on a count plot +sns.set_style("whitegrid") + +sns.countplot(x="Island", hue="Species", data=df_categorical) + +plt.title("Observations per Island and Species") +plt.xlabel("Island") +plt.ylabel("Observations") + +plt.show() +``` + + + +![png](output_81_0.png) + + + + +```python +# shows on which island species live on a pie plot +df_categorical.groupby(['Island', 'Species']).size().unstack().plot(kind='pie', subplots=True, figsize=(20, 10), autopct='%1.1f%%') +``` + + + + + array([, + , + ], + dtype=object) + + + + + +![png](output_82_1.png) + + + + +```python +# shows the distribution of species in the study +df_categorical.groupby(['studyName', 'Species']).size().unstack().plot(kind='pie', subplots=True, figsize=(20, 10), autopct='%1.1f%%') +``` + + + + + array([, + , + ], + dtype=object) + + + + + +![png](output_83_1.png) + + + + +```python +# shows the correlation between "Body Mass (g)" and "Species" in a swarm plot +warnings.filterwarnings('ignore') +sns.swarmplot(x="Species", y="Body Mass (g)", data=penguin_manager.get_df(), hue="Sex") +warnings.filterwarnings('default') +``` + + + +![png](output_84_0.png) + + + + +```python +# shows the correlation between "Culmen Depth (mm)" and "Species" in a swarm plot +warnings.filterwarnings('ignore') +sns.swarmplot(x="Species", y="Culmen Depth (mm)", data=penguin_manager.get_df(), hue="Sex") +warnings.filterwarnings('default') +``` + + + +![png](output_85_0.png) + + + + +```python +# shows the correlation between "Delta 15N (o/oo)" and "Species" in a swarm plot +warnings.filterwarnings('ignore') +sns.swarmplot(x="Species", y="Delta 15 N (o/oo)", data=penguin_manager.get_df(), hue="Sex") +warnings.filterwarnings('default') +``` + + + +![png](output_86_0.png) + + + +We can see that the species are imbalanced, there are 2 times more Adelie than Chinstrap. + +Moreover, we can see that The gentoo lives only on the Biscoe island, the Chinstrap only in the Chinstrap and the Adelie lives everywhere. So if we want to predict the island, the species feature will be very important for the first 2 species and almost useless for the latter. + +The studies seem to have a reasonable balance of species. + +As comparison with the numerical features, I have chosen the body mass, the culmen depth and the delta 15N. The gentoo seems to sit in specific ranges that is different that the other 2 species, also, using the "Sex" as hue, it seems that this feature may be correlated with the body mass (higher for males) and culmen depth (higher for males). So, even if these penguins could change sex, it may be a rare event that also have influence on the body mass and culmen depth. Therefore, it could be used for the model. + +## Island + + +```python +sns.countplot(x='Island', data=df_categorical) +``` + + + + + + + + + + +![png](output_88_1.png) + + + + +```python +sns.countplot(x='Island', hue='studyName', data=df_categorical) +``` + + + + + + + + + + +![png](output_89_1.png) + + + +We can see that there is also a high imbalance between the sample of the islands the gentoo island is the most represented, which is also the only island the gentoo lives. The Torgersen island is underrepresented. + +Studies are slightly imbalanced if grouped by island. + +### Clutch Completion + + + +```python +sns.countplot(x='Clutch Completion', data=df_categorical) +``` + + + + + + + + + + +![png](output_91_1.png) + + + + + +### Sex + + +```python +sns.countplot(x='Sex', data=penguin_manager.get_df()) +``` + + + + + + + + + + +![png](output_93_1.png) + + + +The dataset is overall imbalanced in the most important categorical features which is something to keep in mind while training the model. + +The sex is balanced, but we should be aware that is a less important category and the other features are not. In particular, I would not use the "Clutch Completion" feature because it is strongly imbalanced. +Also, the "Toergsen" island is underrepresented. + +## 9 Impute missing values + +At this point I know there is a correlation between species, anatomical values and sex / isotope, so I will impute them. +This is not meant to be the perfect imputation, but just a way to have a complete dataset to work with. And a future reference. + +There are various approaches: + +- Impute with the mean +- Impute with the median +- Impute with the mode +- Impute with a constant value +- Impute using forward filling or back-filling +- Impute with a value estimated by another predictive model + +I will use the average for the 2 deltas. + + +```python +# fill deltas with the average +df_filling = penguin_manager.get_df(as_copy=True) + +delta_15n_mean = df_filling['Delta 15 N (o/oo)'].mean() +delta_13c_mean = df_filling['Delta 13 C (o/oo)'].mean() + +# Fill missing values with mean +df_filling['Delta 15 N (o/oo)'].fillna(value=delta_15n_mean, inplace=True) +df_filling['Delta 13 C (o/oo)'].fillna(value=delta_13c_mean, inplace=True) + +# Print the modified dataframe +df_filling +``` + + + + +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
studyNameSpeciesIslandIndividual IDClutch CompletionDate EggCulmen Length (mm)Culmen Depth (mm)Flipper Length (mm)Body Mass (g)SexDelta 15 N (o/oo)Delta 13 C (o/oo)
0PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN1A1Yes2007-11-1139.118.7181.03750.0MALE8.733382-25.686292
1PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN1A2Yes2007-11-1139.517.4186.03800.0FEMALE8.949560-24.694540
2PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN2A1Yes2007-11-1640.318.0195.03250.0FEMALE8.368210-25.333020
3PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN3A1Yes2007-11-1636.719.3193.03450.0FEMALE8.766510-25.324260
4PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN3A2Yes2007-11-1639.320.6190.03650.0MALE8.664960-25.298050
..........................................
337PAL0910Gentoo penguin (Pygoscelis papua)BiscoeN38A1No2009-12-0147.213.7214.04925.0FEMALE7.991840-26.205380
338PAL0910Gentoo penguin (Pygoscelis papua)BiscoeN39A1Yes2009-11-2246.814.3215.04850.0FEMALE8.411510-26.138320
339PAL0910Gentoo penguin (Pygoscelis papua)BiscoeN39A2Yes2009-11-2250.415.7222.05750.0MALE8.301660-26.041170
340PAL0910Gentoo penguin (Pygoscelis papua)BiscoeN43A1Yes2009-11-2245.214.8212.05200.0FEMALE8.242460-26.119690
341PAL0910Gentoo penguin (Pygoscelis papua)BiscoeN43A2Yes2009-11-2249.916.1213.05400.0MALE8.363900-26.155310
+

342 rows × 13 columns

+
+ + + + +```python +# check for empties with missingno +warnings.filterwarnings('ignore') +msno.matrix(df_filling) +warnings.filterwarnings('default') +``` + + + +![png](output_97_0.png) + + + + +```python +# count the missing values +df_filling.isnull().sum() +``` + + + + + studyName 0 + Species 0 + Island 0 + Individual ID 0 + Clutch Completion 0 + Date Egg 0 + Culmen Length (mm) 0 + Culmen Depth (mm) 0 + Flipper Length (mm) 0 + Body Mass (g) 0 + Sex 1 + Delta 15 N (o/oo) 0 + Delta 13 C (o/oo) 0 + dtype: int64 + + + +The dataset is almost full, now only one row with the value sex is missing. I will use a classifier to predict it. + +Since it's not worth to impute with a classifier for one row, I will drop it. + + +```python +df_filling = df_filling.dropna(subset=['Sex']) +df_filling.isnull().sum() +``` + + + + + studyName 0 + Species 0 + Island 0 + Individual ID 0 + Clutch Completion 0 + Date Egg 0 + Culmen Length (mm) 0 + Culmen Depth (mm) 0 + Flipper Length (mm) 0 + Body Mass (g) 0 + Sex 0 + Delta 15 N (o/oo) 0 + Delta 13 C (o/oo) 0 + dtype: int64 + + + + +```python +warnings.filterwarnings('ignore') +msno.matrix(df_filling) +warnings.filterwarnings('default') +``` + + + +![png](output_101_0.png) + + + +In total, I dropped 3 rows and imputed the others with the mean. Now I have a dataset withouth missing values. + + +```python +# recreate the penguin manager +penguin_manager = EncoderManager(df_filling, columns_to_label_encode, columns_to_ordinal_encode, columns_to_onehot_encode) +penguin_manager.get_df() +``` + + + + +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
studyNameSpeciesIslandIndividual IDClutch CompletionDate EggCulmen Length (mm)Culmen Depth (mm)Flipper Length (mm)Body Mass (g)SexDelta 15 N (o/oo)Delta 13 C (o/oo)
0PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN1A1Yes2007-11-1139.118.7181.03750.0MALE8.733382-25.686292
1PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN1A2Yes2007-11-1139.517.4186.03800.0FEMALE8.949560-24.694540
2PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN2A1Yes2007-11-1640.318.0195.03250.0FEMALE8.368210-25.333020
3PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN3A1Yes2007-11-1636.719.3193.03450.0FEMALE8.766510-25.324260
4PAL0708Adelie Penguin (Pygoscelis adeliae)TorgersenN3A2Yes2007-11-1639.320.6190.03650.0MALE8.664960-25.298050
..........................................
337PAL0910Gentoo penguin (Pygoscelis papua)BiscoeN38A1No2009-12-0147.213.7214.04925.0FEMALE7.991840-26.205380
338PAL0910Gentoo penguin (Pygoscelis papua)BiscoeN39A1Yes2009-11-2246.814.3215.04850.0FEMALE8.411510-26.138320
339PAL0910Gentoo penguin (Pygoscelis papua)BiscoeN39A2Yes2009-11-2250.415.7222.05750.0MALE8.301660-26.041170
340PAL0910Gentoo penguin (Pygoscelis papua)BiscoeN43A1Yes2009-11-2245.214.8212.05200.0FEMALE8.242460-26.119690
341PAL0910Gentoo penguin (Pygoscelis papua)BiscoeN43A2Yes2009-11-2249.916.1213.05400.0MALE8.363900-26.155310
+

341 rows × 13 columns

+
+ + + +### 10 Normalize numeric features + +Normalization is a common preprocessing step in machine learning that aims to scale features to have similar ranges and avoid that one feature dominates the others during training. By normalizing the data, we can ensure that each feature contributes equally to the model's training, leading to more accurate and robust models. Normalization can also improve the convergence of some machine learning algorithms, such as gradient descent, and reduce the computational complexity. + +References: TP02 - Data Preprocessing + +The most commons are: + +#### Min-max normalization + +Used to scale all values in a range between 0 and 1. Function to use: sklearn.preprocessing.MinMaxScaler. + +In general, the minmax normalization: + +- It's sensitive to outliers. Outliers could outscale the other values. +- It may not preserve the original shape of the data. +- It's good for distance based algorithms (Ex. k-means clustering, hierarchical clustering, and principal component analysis (PCA)). +- It's not good for non-linear data. +Could produce too small values. + +#### Z-score normalization + +Used to standardize values by scaling them to have a mean of 0 and a standard deviation of 1. Function to use: sklearn.preprocessing.StandardScaler. + +In general, the zscore normalization: + +- Helps remove outliers influence. +- Works well with normally distributed data. +- Sensitive to EXTREME outliers. +- It may not preserve the original shape of the data. + +#### Clipping + +This normalization method is used to clip the data between a min and a max value. It's used to remove outliers and to reduce the influence of extreme values. The data is not deleted, but it's replaced with the chosen min or max value if the data is outside the range. + +- Helps remove outliers influence. +- It can influence the model. +- Could remove important information that could contain useful information to modeling data + +#### Binning + +This normalization method is used to bin the data into a fixed number of bins. It's used to remove outliers and to reduce the influence of extreme values. + +Binning is a method of transforming continuous variables into discrete variables. It reduces the effects of minor observation errors. + +More info on binning: https://en.wikipedia.org/wiki/Data_binning + +And: TP02 - Data Preprocessing + +#### L1 normalization + +Used to normalize the data based on the sum of the absolute values of each observation. Function to use: sklearn.preprocessing.normalize with norm='l1'. + +#### L2 normalization + +Used to normalize the data based on the sum of the squared values of each observation. Function to use: sklearn.preprocessing.normalize with norm='l2'. + +#### Log transformation + +Used to scale the data and improve the linearity of relationships. Function to use: numpy.log or numpy.log1p. + +### Normalization + +For this step I will normalize with Min-Max since I checked before there are no important outliers and these normalizations, and it works well for the PCA which I will use later. The distributions tend to be normal, but the Min-Max normalization should be fine. + + +```python +df_numeric_ = penguin_manager.get_df().select_dtypes(include=[np.number]) + +df_numeric_.hist() +``` + + + + + array([[, + ], + [, + ], + [, + ]], dtype=object) + + + + + +![png](output_105_1.png) + + + + +```python +# normalize with Min-Max +df_normalized = penguin_manager.normalize("min-max", inplace=True).get_df() +df_normalized.select_dtypes(include=["float", "int"]).hist() +``` + + + + + array([[, + ], + [, + ], + [, + ]], dtype=object) + + + + + +![png](output_106_1.png) + + + +The result seems pretty good, the distributions are similar to the original ones, but the values are scaled between 0 and 1. + +## 11 Pandas Profiling + +Before going further, I will use the pandas profiling to get a quick overview of the data at this point. + + +```python +# pandas profiling +profile = ProfileReport(penguin_manager.get_df(), title="Pandas Profiling Report", explorative=True) +warnings.filterwarnings('ignore') +profile.to_file("profiling/profiling.html") +warnings.filterwarnings('default') +``` + + + Summarize dataset: 0%| | 0/5 [00:00 + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Body Mass (g)Flipper Length (mm)Culmen Length (mm)Culmen Depth (mm)Delta 15 N (o/oo)Delta 13 C (o/oo)Species
00.2916670.1525420.2545450.6666670.4601220.4123500
10.3055560.2372880.2690910.5119050.5504500.7193110
20.1527780.3898310.2981820.5833330.3075370.5216920
30.2083330.3559320.1672730.7380950.4739640.5244040
40.2638890.3050850.2618180.8928570.4315320.5325160
+ + + + + +```python +df_encoded_pca.shape +``` + + + + + (341, 7) + + + +Now I have 341 rows and 7 columns. I will use the elbow method to find the best number of clusters. + + +```python +pca = PCA() +data_pca = pca.fit_transform(df_encoded_pca) +df_encoded_pca['pca1'] = data_pca[:, 0] +df_encoded_pca['pca2'] = data_pca[:, 1] + +# Plot explained variance ratio +plt.plot(pca.explained_variance_ratio_) +plt.xlabel('Principal Component') +plt.ylabel('Explained Variance Ratio') +plt.show() + +# Plot first two principal components +sns.scatterplot(x='pca1', y='pca2', hue='Species', data=df_encoded_pca) +plt.title('Clustering des pingouins avec PCA') +plt.show() +``` + + + +![png](output_115_0.png) + + + + + +![png](output_115_1.png) + + + +I am not very confident with the PCA, but I think the best number components is 2 because the explained variance ratio is low and the number of component minimal. As we see with the PCA after all the scaling and encoding, it turned out that the result cluster are very clear. + + +```python +pca = PCA(n_components=2) +data_pca = pca.fit_transform(df_encoded_pca) +df_encoded_pca['pca1'] = data_pca[:, 0] +df_encoded_pca['pca2'] = data_pca[:, 1] + +# Plot explained variance ratio +plt.plot(pca.explained_variance_ratio_) +plt.xlabel('Principal Component') +plt.ylabel('Explained Variance Ratio') +plt.show() + +# Plot first two principal components +sns.scatterplot(x='pca1', y='pca2', hue='Species', data=df_encoded_pca) +plt.title('Clustering des pingouins avec PCA') +plt.show() +``` + + + +![png](output_117_0.png) + + + + + +![png](output_117_1.png) + + + + +```python +from sklearn.neighbors import KNeighborsClassifier +from sklearn.model_selection import train_test_split + +# Definire le feature e il target +X = df_encoded_pca[['pca1', 'pca2']] +y = df_encoded_pca['Species'] + +X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42) + +knn = KNeighborsClassifier(n_neighbors=5) + +knn.fit(X_train, y_train) + +accuracy = knn.score(X_test, y_test) +print("Accuracy: {:.2f}".format(accuracy)) +``` + + Accuracy: 1.00 + + +Using the PCA, the prediction is very good. + +### Reducing and visualizing using t-SNE + + +```python +df_encoded_tsne = df_encoded_pca.copy() +``` + + +```python +tsne = TSNE(n_components=2) + +# fit and transform the data to two dimensions +tsne_data = tsne.fit_transform(df_encoded_tsne) + +# create a scatter plot of the t-SNE representation of the data +plt.scatter(tsne_data[:, 0], tsne_data[:, 1]) +plt.xlabel('t-SNE Component 1') +plt.ylabel('t-SNE Component 2') +plt.title('t-SNE Scatter Plot') +plt.show() +``` + + + +![png](output_122_0.png) + + + + +```python +X = tsne_data[:, :2] +y = df_encoded_tsne['Species'] + +X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42) + +knn = KNeighborsClassifier(n_neighbors=5) + +knn.fit(X_train, y_train) + +accuracy = knn.score(X_test, y_test) +print("Accuracy: {:.2f}".format(accuracy)) +``` + + Accuracy: 1.00 + + +Also with the t-SNE the prediction is very good. + +Using the default values the result is strange, even with this method, the clusters pop out very well. + +## 12 Model selection and evaluation + +Based on the insights gained from EDA, choose the appropriate machine learning model(s) for your problem. Evaluate the performance of the model(s) using appropriate evaluation metrics and cross-validation techniques. Iterate on the model, features, or data preprocessing steps to improve performance, if necessary. + +For this step I will use the encoded and normalized dataset. I will use the KNN classifier. I will use the cross-validation to evaluate the model. + +At this point I use the KNN because I want a distance-based classifier, and I think it's the best choice for this dataset. I will use the cross-validation to evaluate the model. Moreover, This TP is not intended to train the perfect model, but to show the process of data analysis. However, I will with other models to see how they perform. + +I will try to predict the species. + + +```python +y_knn = penguin_manager.get_df(as_copy=True)["Species"] +X_knn = penguin_manager.get_df(as_copy=True).drop(columns=["Species"]) + +cols_to_label_encode_knn = ['Clutch Completion', 'Sex', 'Individual ID'] +cols_to_ordinal_encode_knn = ["Date Egg"] +cols_to_onehot_encode_knn = ['studyName', 'Island'] + +penguin_manager_knn = EncoderManager(X_knn, cols_to_label_encode_knn, cols_to_ordinal_encode_knn, cols_to_onehot_encode_knn) + +X_knn_encoded = penguin_manager_knn.encode(inplace=False) +X_knn_encoded.head() +``` + + + + +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Individual IDClutch CompletionDate EggCulmen Length (mm)Culmen Depth (mm)Flipper Length (mm)Body Mass (g)SexDelta 15 N (o/oo)Delta 13 C (o/oo)studyName_PAL0708studyName_PAL0809studyName_PAL0910Island_BiscoeIsland_DreamIsland_Torgersen
02212.00.2545450.6666670.1525420.29166720.4601220.4123501.00.00.00.00.01.0
12312.00.2690910.5119050.2372880.30555610.5504500.7193111.00.00.00.00.01.0
24416.00.2981820.5833330.3898310.15277810.3075370.5216921.00.00.00.00.01.0
36616.00.1672730.7380950.3559320.20833310.4739640.5244041.00.00.00.00.01.0
46716.00.2618180.8928570.3050850.26388920.4315320.5325161.00.00.00.00.01.0
+
+ + + + +```python +# split the data +X_train_model, X_test_model, y_train_model, y_test_model = train_test_split(X_knn_encoded, y_knn, test_size=0.2, random_state=42) +``` + + +```python +from sklearn.metrics import rand_score, adjusted_rand_score +from sklearn import svm +from sklearn.naive_bayes import GaussianNB +from sklearn.ensemble import RandomForestClassifier +from sklearn.linear_model import LogisticRegression +from sklearn.cluster import KMeans + +knn = KNeighborsClassifier(n_neighbors=5).fit(X_train_model, y_train_model) +y_pred_knn = knn.predict(X_test_model) +print(f"Knn score: {accuracy_score(y_pred_knn, y_test_model)}") + +warnings.filterwarnings("ignore") +kmeans = KMeans(n_clusters=3, random_state=42, n_init="auto").fit(X_train_model, y_train_model) +print(f"KMeans score: {adjusted_rand_score(y_train_model, kmeans.labels_)}") +warnings.filterwarnings("default") + +gnb = GaussianNB().fit(X_train_model, y_train_model) +y_pred_gnb = gnb.predict(X_test_model) +print(f"Gauss score: {accuracy_score(y_pred_gnb, y_test_model)}") + +rfc = RandomForestClassifier(n_estimators=50, criterion="gini").fit(X_train_model, y_train_model) +y_pred_rfc = rfc.predict(X_test_model) +print(f"RFC score: {accuracy_score(y_pred_rfc, y_test_model)}") + +reg = LogisticRegression(max_iter=50).fit(X_train_model, y_train_model) +y_pred_reg = reg.predict(X_test_model) +print(f"Logistic Regression: {accuracy_score(y_pred_reg, y_test_model)}") + +svc = svm.SVC(kernel="linear", C=1.0).fit(X_train_model, y_train_model) +y_pred_svc = svc.predict(X_test_model) +print(f"C-Support Vector: {accuracy_score(y_pred_svc, y_test_model)}") +``` + + Knn score: 0.9130434782608695 + KMeans score: 0.09537487102572052 + Gauss score: 0.8840579710144928 + RFC score: 0.9710144927536232 + Logistic Regression: 0.9710144927536232 + C-Support Vector: 1.0 + + + C:\Users\stefa\miniconda3\envs\MchineLearning\lib\site-packages\sklearn\linear_model\_logistic.py:458: ConvergenceWarning: lbfgs failed to converge (status=1): + STOP: TOTAL NO. of ITERATIONS REACHED LIMIT. + + Increase the number of iterations (max_iter) or scale the data as shown in: + https://scikit-learn.org/stable/modules/preprocessing.html + Please also refer to the documentation for alternative solver options: + https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression + n_iter_i = _check_optimize_result( + + +I think that this is already a good results for this TP. I will stick with the KNN even if it's not the best accuracy for this dataset, but it has a higher improvement margin. I will try to improve the model by tuning the hyperparameters (which i won't do). + +I will use the decision tree to find the most informative features. + + +```python +tree_clf = DecisionTreeClassifier() + +tree_clf.fit(X_knn_encoded, y_knn) + +feature_importances = tree_clf.feature_importances_ +feature_importances +``` + + + + + array([0.03380558, 0. , 0. , 0.35479631, 0.01317101, + 0.5319982 , 0. , 0. , 0. , 0.0176711 , + 0. , 0. , 0. , 0.0485578 , 0. , + 0. ]) + + + + +```python +indices = feature_importances.argsort()[::-1] + +for f in range(X_knn_encoded.shape[1]): + print("%d. feature %d (%f)" % (f + 1, indices[f], feature_importances[indices[f]])) +``` + + 1. feature 5 (0.531998) + 2. feature 3 (0.354796) + 3. feature 13 (0.048558) + 4. feature 0 (0.033806) + 5. feature 9 (0.017671) + 6. feature 4 (0.013171) + 7. feature 15 (0.000000) + 8. feature 14 (0.000000) + 9. feature 12 (0.000000) + 10. feature 11 (0.000000) + 11. feature 10 (0.000000) + 12. feature 8 (0.000000) + 13. feature 7 (0.000000) + 14. feature 6 (0.000000) + 15. feature 2 (0.000000) + 16. feature 1 (0.000000) + + + +```python +fi = pd.DataFrame({ + 'feature': X_knn_encoded.columns, + 'importance': tree_clf.feature_importances_ +}) + +# ordina le feature importances in ordine decrescente +fi = fi.sort_values(by='importance', ascending=False) + +# crea un grafico delle feature importances +plt.figure(figsize=(10, 6)) +plt.bar(fi['feature'], fi['importance']) +plt.xticks(rotation=90) +plt.xlabel('Feature') +plt.ylabel('Importance') +plt.title('Feature Importances') +plt.show() +``` + + + +![png](output_132_0.png) + + + +it seems that only the 6 features are important, i will try to retrain the model only with them. + + +```python +X_train_knn_sim = X_train_model[["Flipper Length (mm)", "Culmen Length (mm)", "Island_Biscoe", "Individual ID", "Delta 13 C (o/oo)", "Delta 15 N (o/oo)", "Sex"]] + +X_test_knn_sim = X_test_model[["Flipper Length (mm)", "Culmen Length (mm)", "Island_Biscoe", "Individual ID", "Delta 13 C (o/oo)", "Delta 15 N (o/oo)", "Sex"]] + +X_test_knn_sim.head() +``` + + + + +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Flipper Length (mm)Culmen Length (mm)Island_BiscoeIndividual IDDelta 13 C (o/oo)Delta 15 N (o/oo)Sex
3220.9491530.6181821.0310.3796220.4291002
1160.4576270.1890910.01130.2017290.7789652
1130.3220340.2727271.01080.0708660.4919981
420.4067800.4363640.0390.7711730.6706392
1260.3898310.3418180.01310.3076690.3733272
+
+ + + + +```python +knn_sim = KNeighborsClassifier(n_neighbors=5) + +# fit the model +knn.fit(X_train_knn_sim, y_train_model) + +# predict +y_pred_knn = knn.predict(X_test_knn_sim) + +# evaluate +print("Accuracy:", accuracy_score(y_test_model, y_pred_knn)) +``` + + Accuracy: 0.5797101449275363 + + +I had to try, but this want a good idea. I will use the original dataset. + +## 14 Report and communicate findings + +Summarize your findings from the EDA and document any insights, patterns, or relationships discovered during the process. Use clear visualizations and concise language to communicate your results to stakeholders. + +### Summary + +This dataset contains data about penguins. Some features are useless and can be ignored, but the other are useful to some information. FOr instance the species of the penguin. But other columns could be predicted. Some correlation is present with the sex of the penguin, as well as the others like the island, the flipper length and the culmen length. Also, the BMI seems to have a good predictability index. + +I manged to predict the species with a good accuracy, but I think that the model could be improved. I think that the dataset may be too small to train a good model, and the client should sample more data. + +It would be nice to apply a classificator (class = day) on the date without the year, on the date egg date, to predict futures egg dates in the year, but it would require a lot more samples since the final classes would be 365. An interesting information to add could be the date the egg opened, this would allow the prediction the egg birthdate. + +No outliers were not found, but some missing data were present. + +Overall the missing data wasn't too much, and it was possible to manage it. Only 3 rows were dropped. + +A problem could be the imbalance to some feature, for instance, it would not be possible to predict the clutch completion because the model would be too biased, trying balance it would not be possible otherwise it would result in too few data. + +Moreover, the client should sample more data about the Chinstrap penguin. + +It could be interesting to have the data about the behaviour to see how they could help to predict others features, or how the other features could predict the behaviour. diff --git a/markdown/EDA.pdf b/markdown/EDA.pdf new file mode 100644 index 0000000000000000000000000000000000000000..9d3e5fb8bb9d4974a1cc60ce2d92e00ab949885c GIT binary patch literal 3481626 zcmaI6b9iK3(=Qy`wlQ(Xb}}(0wrwX9+qRR5osMmDV%x?f6XVN$KhJy4`^R^k>+0@> zU3*p4+Euk`SN|v##lABzGqS-^&Yz#|!ZDKoNbHTQ;Q08MM4e0xUF@AmzKL2m+1pyW z+S0%=DLUDkxEh;&O)6Vk8Zv#|OJd6f_`2{fv8BD8n4ya)$u}_`761z?fE~aE;AZ0h 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[ + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "collapsed": true, + "ExecuteTime": { + "end_time": "2023-06-20T09:46:02.486093400Z", + "start_time": "2023-06-20T09:46:02.161449400Z" + } + }, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "import warnings\n", + "from sklearn.decomposition import PCA\n", + "from sklearn.manifold import TSNE\n", + "from sklearn.model_selection import train_test_split\n", + "from sklearn.neighbors import KNeighborsClassifier\n", + "from sklearn.metrics import accuracy_score\n", + "from sklearn.tree import DecisionTreeClassifier" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "outputs": [ + { + "data": { + "text/plain": " City Year Sport Discipline Event \\\n0 Montreal 1976.0 Aquatics Diving 3m springboard \n1 Montreal 1976.0 Aquatics Diving 3m springboard \n2 Montreal 1976.0 Aquatics Diving 3m springboard \n3 Montreal 1976.0 Aquatics Diving 3m springboard \n4 Montreal 1976.0 Aquatics Diving 10m platform \n\n Athlete Gender Country_Code Country Event_gender \\\n0 KÖHLER, Christa Women GDR East Germany W \n1 KOSENKOV, Aleksandr Men URS Soviet Union M \n2 BOGGS, Philip George Men USA United States M \n3 CAGNOTTO, Giorgio Franco Men ITA Italy M \n4 WILSON, Deborah Keplar Women USA United States W \n\n Medal \n0 Silver \n1 Bronze \n2 Gold \n3 Silver \n4 Bronze ", + "text/html": "
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CityYearSportDisciplineEventAthleteGenderCountry_CodeCountryEvent_genderMedal
0Montreal1976.0AquaticsDiving3m springboardKÖHLER, ChristaWomenGDREast GermanyWSilver
1Montreal1976.0AquaticsDiving3m springboardKOSENKOV, AleksandrMenURSSoviet UnionMBronze
2Montreal1976.0AquaticsDiving3m springboardBOGGS, Philip GeorgeMenUSAUnited StatesMGold
3Montreal1976.0AquaticsDiving3m springboardCAGNOTTO, Giorgio FrancoMenITAItalyMSilver
4Montreal1976.0AquaticsDiving10m platformWILSON, Deborah KeplarWomenUSAUnited StatesWBronze
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" + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = pd.read_csv('data/Summer-Olympic-medals.csv', encoding=\"ISO-8859-1\")\n", + "df.head()" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2023-06-20T09:46:02.533394500Z", + "start_time": "2023-06-20T09:46:02.486093400Z" + } + } + }, + { + "cell_type": "code", + "execution_count": 4, + "outputs": [ + { + "data": { + "text/plain": "(15433, 11)" + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.shape" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2023-06-20T09:46:02.564875300Z", + "start_time": "2023-06-20T09:46:02.533394500Z" + } + } + }, + { + "cell_type": "code", + "execution_count": 5, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 15433 entries, 0 to 15432\n", + "Data columns (total 11 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 City 15316 non-null object \n", + " 1 Year 15316 non-null float64\n", + " 2 Sport 15316 non-null object \n", + " 3 Discipline 15316 non-null object \n", + " 4 Event 15316 non-null object \n", + " 5 Athlete 15316 non-null object \n", + " 6 Gender 15316 non-null object \n", + " 7 Country_Code 15316 non-null object \n", + " 8 Country 15316 non-null object \n", + " 9 Event_gender 15316 non-null object \n", + " 10 Medal 15316 non-null object \n", + "dtypes: float64(1), object(10)\n", + "memory usage: 1.3+ MB\n" + ] + } + ], + "source": [ + "df.info()" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2023-06-20T09:46:02.627858600Z", + "start_time": "2023-06-20T09:46:02.549048800Z" + } + } + }, + { + "cell_type": "code", + "execution_count": 6, + "outputs": [ + { + "data": { + "text/plain": " Year\ncount 15316.000000\nmean 1993.620789\nstd 10.159851\nmin 1976.000000\n25% 1984.000000\n50% 1996.000000\n75% 2004.000000\nmax 2008.000000", + "text/html": "
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" + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.describe()" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2023-06-20T09:46:02.643454Z", + "start_time": "2023-06-20T09:46:02.580624Z" + } + } + }, + { + "cell_type": "code", + "execution_count": 7, + "outputs": [ + { + "data": { + "text/plain": "City 9\nYear 9\nSport 28\nDiscipline 41\nEvent 293\nAthlete 11337\nGender 2\nCountry_Code 128\nCountry 127\nEvent_gender 3\nMedal 3\ndtype: int64" + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.nunique()" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2023-06-20T09:46:02.690327500Z", + "start_time": "2023-06-20T09:46:02.612190200Z" + } + } + }, + { + "cell_type": "code", + "execution_count": 8, + "outputs": [ + { + "data": { + "text/plain": "Empty DataFrame\nColumns: []\nIndex: [0, 1, 2, 3, 4]", + "text/html": "
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" + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# get if there are unique only data in columns\n", + "df_unique = df.loc[:, df.nunique() == 1]\n", + "df_unique.head()" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2023-06-20T09:46:02.690327500Z", + "start_time": "2023-06-20T09:46:02.612190200Z" + } + } + }, + { + "cell_type": "code", + "execution_count": 9, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Requirement already satisfied: missingno in c:\\users\\stefa\\miniconda3\\envs\\mchinelearning\\lib\\site-packages (0.5.2)\n", + "Requirement already satisfied: numpy in c:\\users\\stefa\\miniconda3\\envs\\mchinelearning\\lib\\site-packages (from missingno) (1.23.5)\n", + "Requirement already satisfied: matplotlib in c:\\users\\stefa\\miniconda3\\envs\\mchinelearning\\lib\\site-packages (from missingno) (3.5.3)\n", + "Requirement already satisfied: scipy in c:\\users\\stefa\\miniconda3\\envs\\mchinelearning\\lib\\site-packages (from missingno) (1.9.3)\n", + "Requirement already satisfied: seaborn in c:\\users\\stefa\\miniconda3\\envs\\mchinelearning\\lib\\site-packages (from missingno) (0.12.2)\n", + "Requirement already satisfied: cycler>=0.10 in c:\\users\\stefa\\miniconda3\\envs\\mchinelearning\\lib\\site-packages (from matplotlib->missingno) (0.11.0)\n", + "Requirement already satisfied: fonttools>=4.22.0 in c:\\users\\stefa\\miniconda3\\envs\\mchinelearning\\lib\\site-packages (from matplotlib->missingno) (4.39.4)\n", + "Requirement already satisfied: kiwisolver>=1.0.1 in c:\\users\\stefa\\miniconda3\\envs\\mchinelearning\\lib\\site-packages (from matplotlib->missingno) (1.4.4)\n", + "Requirement already satisfied: packaging>=20.0 in c:\\users\\stefa\\miniconda3\\envs\\mchinelearning\\lib\\site-packages (from matplotlib->missingno) (23.1)\n", + "Requirement already satisfied: pillow>=6.2.0 in c:\\users\\stefa\\miniconda3\\envs\\mchinelearning\\lib\\site-packages (from matplotlib->missingno) (9.4.0)\n", + "Requirement already satisfied: pyparsing>=2.2.1 in c:\\users\\stefa\\miniconda3\\envs\\mchinelearning\\lib\\site-packages (from matplotlib->missingno) (3.0.9)\n", + "Requirement already satisfied: python-dateutil>=2.7 in c:\\users\\stefa\\miniconda3\\envs\\mchinelearning\\lib\\site-packages (from matplotlib->missingno) (2.8.2)\n", + "Requirement already satisfied: pandas>=0.25 in c:\\users\\stefa\\miniconda3\\envs\\mchinelearning\\lib\\site-packages (from seaborn->missingno) (1.5.3)\n", + "Requirement already satisfied: pytz>=2020.1 in c:\\users\\stefa\\miniconda3\\envs\\mchinelearning\\lib\\site-packages (from pandas>=0.25->seaborn->missingno) (2023.3)\n", + "Requirement already satisfied: six>=1.5 in c:\\users\\stefa\\miniconda3\\envs\\mchinelearning\\lib\\site-packages (from python-dateutil>=2.7->matplotlib->missingno) (1.16.0)\n" + ] + } + ], + "source": [ + "# if uncommented, install missingno if not already installed\n", + "!pip install missingno\n", + "# note: to works it need matplotlib=3.5.0\n", + "import missingno as msno" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2023-06-20T09:46:04.395738300Z", + "start_time": "2023-06-20T09:46:02.627858600Z" + } + } + }, + { + "cell_type": "code", + "execution_count": 10, + "outputs": [ + { + "data": { + "text/plain": "
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iBKlTpyY0NJRTp06RJ08e47s2mw2TyWT8z8XFxdgHXETkbWez2V5aJaB06dLkzJmTffv2sWvXLsqWLYubm5vxud1ux8XFBbPZTM6cObl69Sre3t64urr+V6cvIiL/BwoQiIiIiIiIiIiIiPx/e/bsoVWrVkRFRVG+fHmyZs3Kw4cPOXv2LAkTJiQgIMD4brJkyfjwww9ZtmwZgwYNYsSIEWTIkAEnJydj4W3//v2EhoZSoEABkiRJElfNEhF5bVar1diO5cSJE1y/fh0XFxcyZsxIQEAA7u7ulC9fngkTJjBu3DgSJEhAgQIF8Pb2Nq59u3fv5u7du3Tu3Jl8+fIRGBgYl00SEZE3oACBiIiIiIiIiIiICBAWFkaXLl1IlCgRvXr1okaNGrE+dyyqOaoLeHp60qlTJy5fvkxoaChdunShUaNGFCxYkICAAHbt2sXUqVN58OABNWvWxNvbO45aJiLyemw2mxEemDRpEvPnz+f+/fs4OTkREBDAmDFjyJ07NzVq1OCPP/7g+++/Z9CgQVSpUoVPPvmEgIAADh06xNSpU4mOjiZ16tRGeMBut8faBkZERN5OJrvdbo/rkxARERERERERERGJS+Hh4fTt25fNmzfTt29fatasCYDFYolVUeBFZb3v3LlD//79+fXXXzGZTPj4+ODj48Off/6J1WqlR48eNG7cGNACmojED8HBwQQHB5MiRQqyZcvG3bt3OXLkCO7u7syaNYsCBQpw9+5dpk2bxk8//cT169fx8vLC29ubO3fuYLVa6dmzJ40aNYrrpoiIyBtSgEBERERERERERETee5cuXeLLL7+kZMmSjB49Gnj1HuAAZrOZ69evExAQQFRUFOvWreO3334jLCwMJycnihQpQpkyZShXrtxrHU9EJK7E3Lbg2rVr1KlTh7Rp09KvXz8yZsxIREQEQ4YMYdWqVbi5uTFr1iwKFixIeHg4J0+eZN26dZw4cYJHjx5RsGBBSpQooWufiEg8pQCBiIiIiIiIiIiIvLccFQFmz57NiBEjGDJkCNWrV4+1mPYiZrOZ77//nlWrVvHJJ5/QtGlT47P79+/j4uISa8sCLaCJSHxw6NAhrl27RpcuXZg5cybFihWLdf3q3bs333//fawQgYPFYsFiseDh4WH8Tdc+EZH4R1dtEREREREREREReW85thOIiIgAMPbqflV4AMDNzY379+9z9OhRVq5cSXh4ODabDYBEiRLFCg8AWkATkbfevHnzqFOnDuvWrSNlypRkypTJuK5ZrVYAhg4dSrVq1TCbzTRp0oSDBw8CT4MCzs7OscIDoGufiEh8pCu3iIiIiIiIiIiIvLccBVrDw8MB+P3334H/LZa9StWqVUmZMiUPHz7kyZMnWigTkXjLbreTJk0asmfPzpYtW7h27RoXLlzAyckJJycnnJ2dXxgiaNq0KQcOHMDJyckIZImISPymJ1oRERERkdfgmFh+0Q5g2hVMREREJP7Lmzcv8L8AgbOzs/Hm7cu4u7vj6urKo0ePiIyM/LdPUUTkX2Gz2TCZTBQvXpwuXbpQpEgRAMaNG8fp06eN7zk7O2OxWICnIYKaNWsSFRVFvXr1uHXrlsbGIiLvCJe4PgERERERkbddzP1vb9y4wf3793ny5AkeHh5kzZpVb1mIiIiIxGOOZ7ls2bLh6+vLTz/9xNy5c2nUqBFOTk4v3L/bbrdjMpmMxTQfHx98fHzi4vRFRN7Ys9c1xz+7uLjwwQcfYLPZiI6O5sCBA0yaNIkOHTqQMWNG4zsWiwUXFxcGDRpEeHg4adOmJVmyZHHSFhER+ecpQCAiIiIi8gqOfRwB5syZw8qVKzl//jxWqxVXV1cqVKhA/fr1yZo1K25ubnF8tiIiIiLyd9jtdtKmTUuHDh0YPHgw8+fPx9/fnwoVKjwXInCEBwB27NjB1atXqVevHr6+vrE+ExF5G8UMyJ87d45bt25x5coVMmfOTPLkyUmePDlFihTB2dmZCRMm8NNPPwG8NEQwZswY49gvClyJiEj8owCBiIiIiMgrOCY/Ro8eTUhICH5+flStWhWAbdu2sXr1ak6cOMFXX31FpUqVFCIQERERiYcci/5ly5bl+PHjrFy5kuDgYJ48ecIXX3yBk5MTdrsdu91uPB8eOHCAadOm4e7uTqlSpWIdR0TkbRQzID99+nSWLFnC1atXAXB1dSUgIIBvvvmGUqVKGdsYTJw48aUhgpihqZjXRxERid8UIBARERER+Qtr164lJCSEYsWK0b17d7JmzQrAw4cPqVevHqdPn+bIkSOULVtWAQIRERGReCxFihTUrl2bqKgoNm7cyMCBAzl//jxNmzbF19fXWCjbtGkTU6ZM4dSpU/Tu3ZsSJUrE8ZmLiPw1xwL/2LFjmTZtGunSpaNz585ERkZy4cIFNm3aRKtWrejduzd16tR5LkTg7OxM27ZtjRBBzNCUAlQiIu8OBQhERERERP7C7t27cXJyomXLlkZ4AGDJkiWcOXOG4sWL07RpU548ecKFCxdInz69yteKiIiIxFO5c+emVatWpE6dmpCQEKZPn87mzZtJliwZvr6+3Lx5k8OHD+Pu7k7v3r1p0KABoNLdIhI/bN68mZCQEAoVKkTv3r0JCgoyPmvQoAH79u1j586dVKpUiSRJkvDBBx/Qrl07pkyZwvr163n06BGjRo3C19c3DlshIiL/JgUIREREREReITw8nCNHjpAqVSry5ctn/D04OJjg4GCKFStG165dMZlM1KlTh8KFCzN06FCFB0RERETiIUcINGvWrGTOnJkiRYowa9YsLl++zJ49ezCZTCRNmpQKFSpQpUoVY+sChQdE5G3nuL4dPHgQm81G27ZtY4UHpk2bxr59+yhZsiR9+/YlIiKCP//8k9y5c1O4cGHsdjsjRoygWLFiCg+IiLzjFCAQEREREXkNjx494t69e/j7+8cKD3z99dcEBQVx/Phxbty4we+//47FYsHFRY/aIiIiIvHNs+W4ixUrRp48eYiOjubkyZN4eHiQPHlyfH198fLyAhQeEJH4wWazYbVa2bNnD56enqRPn974LOYYt3379nh7e1OuXDnSpk3LzJkz8fX1pWjRokyfPp2AgAAAVd0TEXmHaVZTREREROQZjklgm82Gt7c3+fPnZ+nSpRw+fJhLly7FCg9kz54dgKRJk5IgQQIeP36sAIGIiIjIO8CxMObl5YXJZKJo0aLGZ3a73fhnhQdE5G30bLjJ2dkZZ2dnUqVKxfnz541r3MSJE5k0aVKsMW54eDgJEiTgwYMHeHh4AODi4qLwgIjIe0KzmiIiIiLy3nt2YsVqteLk5GT8rUCBAixdupQOHToAULp0adq0aWOEBwCOHTvGo0eP+Oyzz4wJFhERERGJ/160SKaFMxF5m9ntdmM8e/nyZQICAnB2dsZqtZIiRQqioqKYOHEifn5+TJky5bmAvLu7OyaTiaioKB4/foy7u3us4+saKCLyblM8VkRERETea46wAMCaNWsYOnQoDRo0YNGiRZw9exaAzz//nK+++gp4+tZG0aJFyZUrl3GMvXv3MmXKFNzd3fnoo4/++0aIiIiIyHOsVmusf7fZbHF0JvK+Ud+TuOZY4B8/fjzVq1dn//79REdH4+zsTNOmTUmRIgXLly83wgO9e/eOFZDfs2cP169fp0iRInh5ecWquiIiIu8+VSAQERERkfeW3W7H2dkZgNGjRxMSEmJ8dvjwYT7++GPq1q1L0aJF6dGjB5GRkSxdupRvv/2WS5cukTRpUh4/fsyKFSu4c+cOvXv3pmTJknHVHBERERGJwfGct23bNgoXLvx/qhL1bMUqkVf5J/ueyJuwWq1G/zObzdy4cYPw8HCGDRvGN998Q968eUmePDmdOnXiu+++4+7duyRLlowMGTIYxwgNDSU4OBhnZ2cqVKig7flERN5DJruiYyIiIiLynlu8eDEDBw6kQIECNGjQgGvXrrFhwwZ+//13ihUrRrNmzShSpAgAkydPZsmSJdy8edP4ffr06WnatCnVq1cHNMEsIiLioD2SJa6FhIQwfvx4fvzxR9KnT/+3ntNi/iY0NJTEiRMTFBT0b5yuvEP+ib4n8iZi9rGFCxdy4sQJtm7dyuPHjwkPDyd79uz06NGDwoUL8/DhQ1avXs3UqVO5c+cOefPmJWvWrJjNZjZu3EhUVBS9evWiYcOGcdwqERGJC4qOiYiIiMh7J+ZbGQBbt24lMDCQfv36kTVrVgBy5szJzJkz2bZtG3a7HbvdTtGiRWnTpg3lypXjxo0bXLp0iUyZMhEQEEBgYCCg8ICIiIiDxWLBxcWF6OhoHj16RJIkSeL6lOQ9Y7VasdvtWCwW1q1bR7t27f5P4YFly5YxZcoU8ufPz7fffvvcnuAiDv9E3xN5U44+NnbsWKZNm4a/vz/FixfH2dmZ0NBQwsLCGDhwIP3796dw4cJUq1aNTJkyMWLECMLCwjh8+DBeXl5kypSJ+vXrU6VKFUBjXBGR95EqEIiIiIjIO+/WrVskS5bsub+PHj2awMBAVq1aRenSpWnRogXR0dG4uroCcPDgQUJCQti6dSsffvghzZo1o2jRoi/97+gtSxERkacciw2RkZG0b9+e/Pnz07Zt27g+LXkPnTp1irp16+Ll5cXMmTPJnDnza/825qLZihUrGDduHI8ePWLFihVvdBx5P/1f+p7I37V582Y6duxIoUKF6Nmzp1Et5c6dO4wfP56VK1eSOnVqBg4cSKFChXByciIiIoLz589z/fp1AgMD8fX1JWXKlIDCAyIi7ytd+UVERETknbZnzx5KlCjBzJkzY/398OHDhISEMHjwYI4cOUJkZCQArq6u2Gw2APLnz0/z5s0pVaoUu3btYsaMGezdu9c4huN7DgoPiIiI/G+xwWw207hxY3bu3Mn+/fuJjo6O61OT91DWrFlp1qwZt27dIiwsDHga+vwrz4YHxowZw+PHj1m2bJkWguW1/N2+J/J/ERYWhtVqpWHDhkZ4wGKxkDRpUrp27Ur9+vW5ePEiQ4cOZd++fZjNZry8vMiVKxcff/wxQUFBRnjAbrcrPCAi8p7S1V9ERERE3mlHjx4F4NChQ7EWLvLmzcs333yDi4sLNpuNy5cvc+/ePeBp6ccXhQj27NnDpEmT2LVrl/E9ERER+R+r1YqTkxPR0dFERkZy/fp16tWrx8SJE40KPyL/NKvV+sK/ORZr8+fPj7OzM1OmTOHGjRt/Gfp8UXjAbDazcOFCY7srEfjn+57I/4XdbuePP/4AIG3atMDT65ljzOvj40PLli0pVqwYp0+fZvjw4Rw9evSlwRb1VxGR95dmPEVERETknda8eXOCg4MZOnQorq6usSZIGjVqRJcuXQBYt24dy5cvN373bIigRYsWFC1alD179hjVCkRE3jbPVkYR+a85Ozvz+PFjPvnkE5o0acKTJ0+oUqUK3t7eWCyWuD49eQfZ7XacnZ0BWL16NevXrwee9kXH4lfhwoWpVKkSFy9e5MCBA8CLF35B4QF5ff903xP5J3h5eQGwb98+4H+hd8f4NnHixHTs2BF3d3dOnDjBoEGDOHXqFKC+KSIi/6MAgYiIiIi8c/bu3WtM0AGUK1cOX19fhg8fTs2aNVm2bJkRImjQoAF9+/YFYMyYMcyePdv4XcwQQb58+WjevDmTJ0+mXLly/2FrRERej8ViMcrG79ixg5CQEGbMmMHSpUt59OiRJoXlP3Pt2jUePnzI6dOnefToEaGhoZjNZlxcXOL61OQdY7VajYXahQsX0qNHD7p06ULHjh3ZvHkzd+/eNb7r2Iv++++/BzAWfmNSeEBe1z/d90T+CSaTic8++wxPT09+/fVX7ty589znAN7e3thsNlKnTs3p06cZMGAA0dHR6psiImJQgEBERERE3ikXLlygYcOG1KtXj4MHDwL/eyPX09MTgP79+7N8+XIjRFCvXj0jRDBixIiXhgg++OADypQpE+uYIiJvA6vViouLC5GRkbRt25Y2bdowevRoRo0aRf/+/WnatCnLli3j/v37cX2q8o6z2+2kT5+e+fPnkypVKmw2G9u3b+fPP/+M61OTd4zNZjMWu2bNmsX+/fsZM2YMgYGB/PTTT3Tu3JmvvvqKX375hStXrpAzZ07y58/Pzp072bhx4wuPp/CAvI5/uu+J/JMCAwPJnz8/27ZtY9KkSYSHhz/3nXPnzuHm5kbPnj0pWrQohw8fZsqUKXFwtiIi8rZSgEBERERE3inp06encuXKADRs2JADBw4Yk8EdO3akW7duAPTr1++NQgTPetHfRETiiqNsfOPGjdmxYwelS5cmODiYUaNGUaFCBc6fP09wcDALFiwgKioqrk9X3iHP7pvs+Pds2bIxbtw40qZNy/79+xk5cmSsN3JF/i/sdrvxLDZy5Ei+++47Ll++zCeffMLs2bMZPnw4BQsW5NSpU3To0IG2bduyadMmWrZsiYuLC/v373/umI7jLVmyhHHjxik8IC/0b/Q9kX9SypQpadGiBcmSJWPRokUMHTqUI0eOEB0djclkYv/+/cycORN3d3eKFClC586d8fDw4Pr163F96vIWefb5TkTePya7rgQiIiIi8o6wWq3G20D9+vVj2bJluLi4MHfuXAoUKGB8LyQkhNGjRwMwaNAgatSoEasE6eDBgwHo2rUrzZo1+49bISLy94wfP54pU6bQqFEjvv76a9zc3AC4ceMGtWrV4sGDB7Rs2ZLmzZsDKqEs/3eO+67NZsNms3Hjxg1cXV3x9/fHbrdjMpk4fvw4Xbp04Y8//qBs2bIMHjyYJEmSxPWpSzwW83nvxo0bNGrUiCRJktCzZ09y584d67vr1q1jz549LFu2DHi6JdW5c+eIjIxkzpw5FCxYMNb3T548Sbt27bh69So//PADWbJk+W8aJfHCv9n3RP5p27dvZ/DgwVy6dImUKVOSIUMGEiVKxI4dO3jw4AE9e/akcePGnD9/ns8//5xPPvnEGCPL++3mzZv4+/vHqswjIu8fBQhERERE5J3yT4QIFi9ezMCBAwFYuXIl2bNn/49bISLyZmw2G02aNOH8+fP88MMPxgKtxWKhQYMGHDp0iJYtW9KxY0d+++03vL29tXgh/ycWiwUXFxeioqIYOXIkhw4d4sSJE7i7u1OyZEk++eQTSpQogY+Pj0IE8o9whFIcJk2axJUrV1i3bh2DBw/m888/N96YjFliHmD//v1s2bKF9evXc+PGDQC++uorevToEWuB5NatW6xZs4aSJUuSKVOm/7B18jb7L/qeyD8lZn89evQoP/30Exs2bODq1asAZM2alTp16lC7dm0AvvvuO2bNmsXgwYOpUaPGc/1d3i/du3dnzZo1/PDDDwQFBek6JfIeU4BARERERN45LwsRPPu2z4wZMxg1ahQAAwcOpGbNmsZkyZw5cwBo3Ljxf3ruIiIvs2XLFlKkSEGOHDliXecA7ty5Q9WqVUmaNCmLFi3C09MTq9VKvXr1OHz4MM2aNaNVq1YcP36cRo0aUalSJb1lJn+bYzI5MjKS+vXrExYWRubMmcmQIQMnTpzgxo0buLu788knn9C5c2eSJEnCyZMn6dSpExcvXqRMmTIMGTJEIQL5S6dOneLevXsUKVLECK3Y7XYuXLhAxYoVcXNzw9PTk549e1K1alWio6NxdXV96fHu3LnD3Llz+fXXX3nw4AGrV68mceLEsb7j+O/I+y0u+p7IP+XZEMCjR4+4cuUKLi4upEiRAm9vbwAWLFjAhAkTSJ48OTNmzCB58uRxdcrylmjWrBk7duzA19eXOXPmkC1bNoUIRN5T+v96EREREXnnODs7Ex0dDTytLlCzZk0sFguNGzeOte9os2bN6Nq1KwD9+/dnxYoVxttDjRs3NsIDNpvtv22AvPVi7hGqTLb8FyIiIvjxxx+ZNm0ap06dwtnZmSdPnhh7yru6uuLu7s7NmzeJiorCZrMZ4YHmzZvTqlUrvL29cXd3x9XVlStXrmA2m+O4VRJfOTk5ER0dTY8ePQgLC6N58+YsX76c8ePHs2bNGrp27crDhw/ZvXs3oaGh2Gw2goKCGDduHOnSpeOXX36hU6dORv8VeZl9+/bRqVMndu3aZSzq37lzhwwZMjBt2jS8vLx48OABa9asAZ5eC61W6wuPZbPZSJo0Ke3bt+ezzz7j5s2bLFmyBIh9L1d4QCBu+p4IQHh4uPHPf7d/xAwP2Gw2EiZMSFBQEJkyZeLw4cNMnz6dbt26MWrUKNzd3Rk7dqzCA+85R1+bMWMGlSpV4sGDBzRs2JATJ07g5OSkORGR95ACBCIiIiIS7z07mLVarbES8oMGDaJ69ep/GSLo27cv8+fPf+74SttLTPv372fy5MmcPHkSeDpBpwkV+be5uLhw9+5dNm3aREhICEePHqVZs2ZMnjyZ8PBwfHx8KFu2LHfu3GHevHnUrl3bqDzQsmVL402zxIkT4+TkhLe3N25ubnHcKolPnr3OXbhwgdDQUIoVK0b79u3x8PAAwMPDgzVr1uDi4kKFChWoUKEC58+f5/HjxwQFBTF+/HgSJ07M3r17FWKRvxQVFcX9+/fp0qULx48fZ/To0dSuXZvr169TsmRJxowZQ6JEiQgNDaV79+7A0yDpixZynZycsNvtuLq6UrlyZWN7DUDluuU56nsSF27cuMH06dP/0f7hGMtaLBYOHTpEjx49GDNmDL/99ht58+Zl7ty52rJFMJlMWCwWAEaPHk3FihV59OiRQgQi7zHNhIqIiMjfpsGDvA1ihgU2bNjAyJEjad26NV27dmXz5s1cuHABgCFDhrwyRNClSxdA/Vr+2o0bN1i5ciUzZ87kxo0b2O125s2bZ+wrKvJvcHFx4auvvqJIkSKsXbuWpk2bsm/fPtKnT4+7uzsARYsWxdXVlalTpxIWFkbbtm1jhQcAVq5cyZMnT2Jt5yLyMrNnz2b16tXA/xbAHE6dOkV4eDiVK1c2wihWq5XatWvz+++/06RJE9q1a8f69evp06cPd+7cAZ7uvTx//nw2bdpEihQp/vtGSbxSp04d6taty/3796lbty4hISFkz57dCJ8ULVqUsWPH4uvry5o1a+jbty/w8oVcRx92d3fHw8ODy5cvExUV9d81SOIN9T2JCzdv3mTVqlXMmTOHc+fOAbBt2zauXLnyfzquzWbDxcWFtGnTMmHCBPr27cvUqVMZO3YsGTJk+CdOXd4BLi4uxvVrzJgxChGIvOdUk0tERETe2OXLlwkMDMTJyUl7hEqcc+wBPnbsWKZNmwY8HfhaLBZ+/vlnChcuTM2aNfnkk08YMmQIACtWrKBx48bMmTPHWERr0aIFH374ITlz5oybhki84e3tTYYMGdiwYQM2m439+/djtVoJCgoiRYoUqlgh/wpnZ2dKly6N3W7n0KFDREZGkjlzZvLmzWvsuVyyZEm+/vprhg8fbtyfnZ2dsVgsODs7M2vWLBYvXkzmzJmpUqVKHLdI3nabN29mxIgRZMiQAQ8PDz755BOj4krMMMGff/5p/CbmthnNmzfHzc2NdevWcfjwYY4cOUKqVKmw2Wx601Fem7e3N/369WP37t1cunQJNzc3SpYsSZo0abDb7djtdooWLcq4cePo1KkTy5cvx263M2TIEGMh1/GsCE+DMFarlf79+3Pz5k2yZcsW63MRB/U9iQt2ux0fHx82bNiAp6cnjx49YsuWLQwZMgR/f3/jme9NxNy//tChQ7i6ulKvXr1/+tTlHeHs7IzZbMbNzY0xY8YAsH79eho2bMi8efPIli1brD4lIu8u/X+5iIiIvBGz2czkyZMZMWIEVqtV4QGJMzHfgly+fDnTpk2jaNGiTJkyhR9++IF+/fpRvHhxdu7cyXfffcf69euBp5UIatSogcVioVmzZuzbt884jiM8oFS9vErx4sXp168fQUFBbNiwgTt37lC6dGmKFCny3Bu6Iv8Ux3Vp5cqVWK1W/P39OXPmDDNmzODUqVPG9xo3bmyUUh4/fjy1atWiZcuWVKtWjZEjRxr73KZMmTJO2iHxR/r06alVqxaXLl0iODiYjRs3Av8rhZw2bVoATp8+zaVLl6hVq5YRHmjZsiUJEyYEIHfu3MD/7tuacJY35agolSRJEsxmMyNHjiQ0NBSTyWS8DelYyPX19WXFihX06dMHwAhRxXT58mUOHDhAhgwZ6NGjh7ZzkZdS35P/Ws6cOenRowd58uRhxYoVbNiwgZw5c1KoUCFcXV3feJwRc6F3+fLl9OnTh+nTp/Pw4cN/4/Qlnnq2akrMa5MqEYi8v0x2zW6JiIjIGzCbzTRo0IAjR47QunVrOnbsyLRp03B3d6dx48ZxfXryjnNMgMScCHn8+DHBwcEsX76cuXPnEhQUZHz/8uXLLFy4kDlz5pA9e3b69OlD/vz5ARg4cCCLFy8GnpaFTJ48+X/fIIl37HY7JpOJqKgoypcvb5TkrlChAh07diRNmjRxfIbyrtuxYweXL18mZcqUzJgxg/3791O+fHk6dOgQ663ujRs38vPPP7N9+3YiIiJInTo1BQoUoHXr1gQGBsZhCyQ+uXDhAnPmzGHZsmVkyJCBdu3aUaFCBQBu375N9+7d2bVrF8mSJeP27ds0a9bsuW0z2rZty/bt21m2bFmse7TI6zp79iyHDh0iV65crFixggULFuDr68u4ceMoWrQo8L9nxNDQUDp16sSDBw+oWrUqw4YNi3Usx338+vXruLq6kjRp0rhoksQT6nvyX3L0EYBWrVqxdetWnJycKFWqFL169SJ16tRvdLyYY+YVK1Ywbtw4IiIiWLJkCVmzZv3Hz1/iJ0fVMrPZzK+//soff/yBm5sbFStWxN/f3/hely5dWL9+PQkTJlQlApH3hAIEIiIi8kasVitLly5l/PjxPHjwgFy5cvH7779Tq1YtOnbsSJIkSeL6FOUddOrUKRIkSEBgYGCsiZXRo0dz9epVTpw4QYoUKZg1axZArJKhN27cMAIGXbp0oUWLFsZxu3XrRurUqenYseN/3yiJ106fPk3btm3JmTMnf/75J2FhYVSqVImmTZtqQk7+MX81Kbd9+3YmT57MoUOHXhgiiI6O5s6dO4SHh5M8eXLc3d31tqO8sYsXL7J8+XJmzZpFtmzZaNq0KZUqVQJg9erVDB06lIcPH1K4cGGGDBkSK6CyYMECRowYQYECBRg/fjy+vr5x1QyJJ1523XP8PTIykuHDh7Ns2bJYC7mONyEdC7lt2rQhKiqK2bNnGwu9DjGfJUUc1PfkbWC1Wrl9+zZffPEFqVKlIjo6mrNnz1KpUiWaNGny2kG8Z8MDY8aMwWw2s3DhQo1VxOAID0RGRtKpUyd27txpVCNIkyYNM2fOjPVcpxCByPtFAQIRERF5YxaLha1bt9K5c2fsdjupUqVi8uTJZMyY8bm9HkX+r06ePMkXX3xBpkyZmDNnDn5+fsDTNx+/+uorzp49S+LEicmdOzdTp0594QB2z549tGvXjgQJErBmzRq8vLye235DA195lRf1jxs3bpA4cWL27t3LhAkTOH78OJ999hlNmjQxJuY0USx/l2NCLzo6mkuXLvHHH39gsVjInj07Xl5eJE6cGLPZzL59+wgODjZCBO3atSNLliwAhIeHx3oTXOR1xex/u3btYtu2baxbt46HDx+SPXt2mjRpYoQIZs6cyfjx4zGbzVSrVo3s2bOTJk0aNm7cyJo1a/Dx8WHhwoWkS5cubhslb72Y44hNmzZx8eJFzp07R8WKFQkKCjKqRUVFRTFs2LDnFnIdn3l6erJ161auX79O7dq146w9En+o70lccowXYo4bLly4gLOzM1euXGHcuHEcO3bstccZCg/I64gZjqpXrx4nTpygYMGC5M2bl8OHD7N//36SJUvG/PnzYz3DxQwRzJ8/n6CgIM2liLyjFCAQEYmH9GAmccUxmQxPJ4tHjhyJs7MzNpuNtm3b0q5dOwCFCOQfdezYMeOt2nHjxpEgQQLgaT87c+YMo0ePZvv27bi5ub2yPHLTpk3Zv38/mzZtInny5LEmXLTIK6/iuPZZLBZu3brFw4cPCQgIMPb3ttvt/PLLL0yfPv2Fk3sib8pxH42MjKRHjx6EhoYSHh4OQOLEicmXLx+tW7cmV65cmM1m9u/fz8SJE40QQdu2bTlx4gS7du2ic+fOpEyZMo5bJPFJzAnlr776ilOnTuHq6kpAQAAXLlwgOjqajBkz0qZNGypWrAg83Vd58eLFhIWFGcdxcnIiR44cDB8+nIwZM8ZVcySeiPksNnbsWKZNm2ZsW+Xn50eZMmVo3ry58Sbkswu5U6dOxWQyMW3aNJo2bUrBggWNY2v8LK+ividxKebcSUREBFarFVdXVzw9PY3vbN68mZCQkNcaZyg8IG/CbDbTtWtXfvnlF5o2bUrHjh1xcnLi3r171KtXj/Pnz+Pn58fChQtJmzat8TtHiABgzZo1RnhZRN4tLn/9FREReZvE3Jvq4sWLZMmSRYNS+U/YbDYjPDBv3jwOHTpE69atcXNzY/bs2QQHB2M2m+nSpQvOzs4KEcg/JkeOHMydO5ckSZKQIEECli9fToECBciQIQOZMmXi66+/xtnZma1btzJ16lS6d+9OQEAAQKySoq6urrGOGzMwoPCAvIzVajXKOg4cOJDDhw9z+/ZtUqVKRd++fcmVKxceHh6ULVsWgOnTp/Pjjz8C0LJlSzJkyMC+ffvw8/Mjffr0cdkUiSfsdjvOzs5ERUVRv359wsLCKFGiBOXLl+fkyZOcO3eOX375hdDQUEJCQihYsCCFCxcGYNKkSWzatIm9e/dy//59/P390TsD8qacnJwwm81069aNI0eO0KxZMxo3boyvry979+7ll19+YdGiRUycOBGAihUrUqNGDQoUKMDly5f5/fffMZlM5M2bl6CgIO3zLa/F8Sw2Z84cpk2bRtasWalevTphYWEcPHiQFStW8PjxY9q3b09gYCCenp588803ACxbtoy6deuSOHFi7t69S5kyZWIt4mqsLK+ividxxWazGXMmS5YsYcuWLdy4cQNfX1969OhBlixZcHNzo1y5cphMJqZPn87atWsBjBDB5cuXcXJyIlWqVAoPyEs5KqQ8W+1i37597Nixg3LlytGiRQuj/5w7d46rV6+SMmVKrl27RoMGDZg3b55RiWDMmDE8evSI7du3P1fZUUTeHapAICISjzge8CIjI2ncuDEmk4mlS5fG9WnJe+a7775j1qxZZMyYkenTp5MqVSpWrVrFt99+y6NHj2jZsiWdO3cGYlcsEPknLFq0iEGDBlG0aFEGDhxImjRpsFgsnDt3jmHDhrF7925q165NkyZNSJMmjfG7AwcO0KZNG7Jly8bkyZPx9PRUaEBem2Mh9/jx4/j5+eHm5sbVq1fx9/enZ8+elCpVyqiMsWXLFqZPn87x48cpVaoUSZIkYefOnRQuXJgBAwZo/3l5zosqoFitVoYOHcqiRYto2rQp7du3x8PDA3i6dUaVKlV48uQJDRs2NN4Uio6O5siRI4SEhLB3717Spk3L6NGj9ea3/C1Hjx6lefPm5MiRg6lTp8a6dj148IAVK1YwatQoMmTIQNu2bY1KBCJvKmbo2Gw207BhQ8xmM8OHDydLlixERkaya9cuJk+eTFhYGJ9//rmxkAsQHR3NiBEjWLJkCYkTJ6ZVq1bUq1cvLpsk8YT6nrwtRo8eTUhICACenp5ERUWRPHlyevTo8cJxxrFjx6hYsSK5cuVi+/btuLu7M3DgQCOwp/CAxDR27Fhu3bpF165dSZIkSayxh6Oy6Pz58ylUqBDw9HpYtWpVfH19mTNnDq1bt2bnzp0kS5aMkJCQWBUfb9y4YWzxIiLvHs3oi4jEE47Brc1mo3379vz+++8UK1aMiIgIvLy84vr05B0Wc2Llzp07rFy5kkKFCtGlSxdSpUoFwKefforJZGLo0KFMmzYNu91O586dnwsPqEy8/F9ly5aNvHnzEhoaysCBA+nfvz9p0qQhU6ZMfPPNNwwdOpQlS5Zw8uRJ2rZtS7Jkybhw4QKzZ8/mwYMHVKtWzZiAEXmVmG/wjBs3jtOnT9OsWTMaNmyIi4sLo0aNYuXKlQwdOhS73U7p0qVJkCABZcuWxWQyMXv2bDZv3gyAr68vTZs2VXhAXshkMj1XtSc6OpqDBw+SKVMmOnXqZFRQsdlsdOzYkfv379O6dWs6dOjAjh07SJMmDWnTpqVgwYLkzJmTS5cukSxZMhInThxXzZJ47ty5czx48IDcuXPj5uYWKxTq6+tLnTp1ePjwIdOnT2fGjBnY7XYqVaoEaCsreTOOvrJgwQJy587NnTt3aNy4MVmyZMFisZAgQQI++ugjXFxcmDBhAmvWrAEwFnJdXV3p06cP9erVw83NzRifqEqf/BX1PYkrMedF1q5dy+zZsylWrBiNGzcmderUBAcHs27duheOMwBmzZrFjz/+aFQ969u3rxEeWLx4McHBwURHRys8IISFhTF//nzMZjMJEyakVatWJE6c2HhWe/jwIQCnT5+mUKFC2O12OnbsyNWrV2nevDlubm707NmTVq1aceXKFVq0aEHTpk0pXrw4GTNmVHhA5B2nAIGISDzgKGv2+PFjbt26hclkokKFCgwfPhw3NzcNUOVf5ZhYCQ4O5tGjR5hMJpo1a0a+fPmMvufp6cmnn36K3W7n22+/JSQkBJPJROfOnTlx4gQnT56katWqCg/IG3m2vB5Arly56Nu3L4MHD2bnzp3PhQh69+7Nd999x86dO2nevDnu7u64uLjg6elJr169qFy5cqxji7yIY0LFbDZjtVq5cuUKuXPnpm3btsZ+pAMHDsTHx4c5c+bw7bffAhiTe2XKlCFJkiTs3buXu3fvUq9ePeNtNRGHfv36cePGDaZOnRpr6x+73c7Fixc5efIkn3zySazwQN26dTl8+DDNmzenWbNm7Nq1i/bt29OpUycaN26M1WrFw8ND+5DK/1nSpElxcXEhPDwc4LlQaIIECShfvjyrV6/mxIkTzJ07F4vFQpUqVRQekDe2efNmhgwZgq+vL0+ePCFRokQAxjXRzc2NDz/8EOCFC7lArG2C7Ha7xsfyWtT35L/27PzdlStX8PLyonPnzuTMmRN4WvXRz8+PuXPnPjfOKFu2LAkTJmTTpk388ccfVKpUiS+++AKAS5cusW7dOu7cucPq1asVHhDSpElD//79mTx5MosXL8Zms9GmTRsjZFysWDF27dpljHFDQkLYsWMHtWrV4uOPPwbAx8cHs9mMu7s7N2/eZNq0aXz66adx1iYR+e8oQCAiEg849iH97LPPuHbtGm5ubnTs2FHhAflP2O12jh8/TnBwsFH2/d69e8/tqezh4UGFChUwmUx8++23TJs2jVOnTnH58mXOnTtH2rRpyZ8/fxy1QuKbmG8v3r9/n0ePHuHm5oa3tzc5cuSgb9++DBky5IUhgm7duuHi4sK2bdtIlCgR7du359NPP8Xb2xvQW0Hy15ydnXny5AlffvklKVKk4NixYzRr1gxPT0+sVisArq6udO3aFeCFIYK8efOSN29evYkrL3TlyhVWrlyJxWKhR48ejBgxIlaIwMfHB09PT27cuGH8JmZ4oGXLlnh5eXH16lUeP37MyZMnAdTX5P8k5v3R19cXeLq/d8WKFV/4DJcjRw4yZsxIREQER48exWazUbZsWeN+K/Iyzz6LFS1alOrVq/Pzzz/z+PFjDh06xEcffUTChAkBXriQu379eiwWCx07diRt2rSxjq+QqLyM+p7ENUf/Gz58OJcvX+by5csUL17cCA9ER0fj6upKt27dMJlMLxxnfPDBB3zwwQdERkbGqq7n7+9Pw4YNGTJkiLFXvbzfvL29KVu2LHa7nUmTJrF48WIAWrduTZIkSciePTu9e/cmb9682O12fvnlF1KmTEnnzp2NardeXl7Y7XYqVqxImTJlCAoKUuUBkfeEZk5FXpNjstjh2YUzkX+bm5sbOXLkwGQy8eTJE44cOcLdu3e1CCb/OpPJRM6cORkyZAhRUVFERkayf/9+4+0Km81mfNcRIujbty8eHh5s3bqVc+fO8c033yg8IK/NUXUFYOHChbRr144vv/ySqlWr0r17d8LCwsiRIwe9evUiX758Rojg0qVLODs7kylTJjp37syHH37IjRs3WL16NVevXgXAYrHouimvJTw8nOjoaEJDQ4mKijLewgWMhV4XFxe6du1K48aNuXPnDt9++y1bt24lKirK+K76m7xIqlSpmDt3LilTpmTNmjV07doVu91uvPGYNGlSAgMDOXr0KAsXLqRmzZocPnyYZs2a0bJlS2OBNlOmTADamkX+FscY1zG2jYyMND7LkycP9evXx2w2ExwcbIRU4Om91OHmzZuULl2awYMHM2LECIUH5C/FXMB98OAB8HRx4ptvvuHjjz/G2dmZjRs3smPHDsxmM4BRkcqxkNuxY0fSp0/P+vXruXTpUpy1ReIX9T15W4SHh/Prr7+yZcsWbt26ZcypWCwWXF1dX3uc4Xj+c9zHPTw8+PjjjxUeEIPFYsHb25uPP/6Ybt264efnx5o1a5g8eTJ37tzB29ubPHnyALB7924OHz5M4cKFY22VGxISwu3btylRogQff/yxKuuJvEc0myXymhwLGQcPHgSUKpb/lmOSbvz48XzxxRfYbDZ+++03QkND4/jM5F1nt9uN/le9enWGDx8OwIoVK5g6dSrAcyECd3d3KleuzJIlSxg4cCCzZ8+mUaNGALG+J/Iyjom9sWPHMnjwYM6ePUuuXLlIliwZly5dwsfHB4CcOXPSu3fv50IELi4uZMqUiR49elCsWDH27dvHgAEDOHPmDC4uLgoBymtJmjQp8+fPp0CBApjNZr7//nsjpOIIuTw7uffgwQO6devG9u3bjePomVFepkCBAowaNYpkyZKxbt06I0RgMplwd3enSZMmuLu7M2zYMMLCwmjatCkdOnSItUC7bt06AHLnzg0o5Cyvz2KxGFukjR07lg4dOtCgQQOWL1/O9evXAWjUqJFR2nbkyJEcOnQI+N92BosWLeLSpUtkyZKF6tWrkzFjxjhrj8Qfjue8/v37U6NGDS5fvgz8byG3WrVq3L59m5EjR/Lbb7+9cCG3aNGidOjQgVGjRlGiRIk4a4vEL+p78rbw9vZm7ty5FCpUiHv37hEaGsqFCxdwcXExqlE9O864f/8+AwYMYOPGjc+95BZzvKGxhzhYLBZcXFyIjIzkhx9+4Mcff8RisfDgwQPWr1/PlClTuHfvntFnfH19cXV15dKlS0RHR2M2m1mwYAErVqwgb968FCxYMI5bJCL/NZNdMwwir23EiBHMnj2bpUuXGuk8kX/DX5XX7tevH8uWLcPHx4dRo0bx0Ucf/YdnJ++yZ/vei/aJ/+GHH+jZsycAXbp0oUWLFs/99kW/U9l4eRM//vgjPXr0oHjx4nTp0oWgoCDCw8OxWq1GWWWH48ePM2jQII4cOUKJEiXo06cPadOmxWazcfbsWUaMGMHOnTvJnDkz48aN0wKHPCfmNevZa9X169fp0aMHe/bsIXPmzEyZMoXUqVPHmtxzdnbGYrEwaNAgNmzYwLJly2LthyvyKgcOHKBTp07cunWLSpUqMWrUKEwmE3/88QdTpkzhp59+MvbGrVatmvG7uXPnMnnyZAICApg2bRr+/v5x2AqJTxzXucjISBo2bMixY8eMBTKAWrVq0ahRIzJkyMCRI0eYMGECO3fuxNPTk7p16+Lj48O5c+f4+eef8fLyYsmSJaROnTqOWyXxSUREBLVr1+bMmTPkzZuXkSNHGm80RkZGMnz4cJYtW0ZAQAC9evXio48+ws3NDfjfPTvm/VrjDHld6nvyX3P0G7vdHquKo5OTU6xxRoYMGZg+ffpLxxnDhw9nwYIFDBo0iJo1a8Z1s+Qt5+h3UVFR1K9fn5MnT5I6dWry5cvH8ePHuX79Oo8fP6ZOnTq0bt2axIkTc/36derXr8+ff/5J9uzZsVgsnD59muTJkzN79mwyZMgQ180Skf+YAgQib2Dy5MlMmDCBPn36UL9+fe1pK/8KR0LUbDazbds2/vzzT9zc3KhQoQJJkiQxvucIEfj6+ir9Lv+ImNe0rVu3cuLECXbv3k2SJEkoUKAAxYsXN0rhvU6IQOTvstls9OrVi7Vr1zJnzpyXJt0vXLhAZGQkOXLk4Pjx4wwbNoz9+/eTN29eQkJCjL1Lz5w5Q+/evTl+/Dg//fSTFjkklpgTdBaLhUuXLuHn54e7u7tRFvTGjRt07dqVffv2kS1bNoKDg0mVKpXxW8e1z/FGR9KkSeO4VRJfOCb3XhYiOHr0KHPmzGHz5s14eHiQN29e0qRJw7lz5wgNDSVp0qTMmzdPwSh5YxaLha5du7J582aqV69OrVq1CA0NZfHixVy+fJmqVavSokUL0qdPz59//sncuXNZsGABTk5OWK1WPD09yZw5M8OGDVP/kzfiuO7dvn2bLl26sHfvXnLnzs3o0aNfeyFX5O9Q35P/2rPzxuHh4Xh7exMdHY2rqysQe5yRPXt2Jk6c+MJxRnR0NEeOHNFb4PLaLBYL/fr1Y+XKlbRq1YrWrVvj7u7O3bt3CQ0NZerUqZw9e5b69evTqlUrkiZNysmTJ+nSpQtXrlzB09OT7Nmz07dvX4XjRd5TChCIvIEzZ87QokULXFxcWL58OYkSJYrrU5J3TMzyUp07d2bnzp1G+fhMmTIxc+ZMkidPbny/f//+LF26VCEC+T+LufA/btw4ZsyYYWw34Pi/BQoUoEqVKtSoUQOTyaQQgfxr7t+/T61atTCZTGzcuBF4vqrFw4cPGTJkCNu2bWPatGnkzZuXo0eP0rt3b6pUqUKzZs1iHfPs2bN4enqSKlWq/7Qt8nZz3HejoqIYOXIkhw8fJiwsjBQpUpA8eXLat29P9uzZSZIkyWuHCERe5VX95NkQwciRI3FycuLs2bPs2LGDhQsXGuWW/f39yZEjBz169NA+t/LaHNc8eLqoUapUKQoVKsSwYcNwd3cHYPPmzUyePJmwsDCqVq1Ks2bNjIDAoUOHePjwIX/++SfZsmUjXbp0sQLOIi8S8xnO8c+Oe+ft27fp1KkT+/fvf+VCbmBgIN27d6dkyZJayJXXpr4ncSlmeOCHH35gx44d7Nu3D39/f/z8/GjVqhUZM2bE29v7L8cZzwYRNO6Q13H//n0aNGgAPO2Dzs7ORnjFarUSFhZGnz59OHfuHLVr16Zly5YkS5aMmzdvcvPmTXx8fEiSJEms7dNE5P2iAIHIG+rVqxcrV66kZ8+exp7e2l9K/gkxS4nWq1ePEydOkD9/fvLkycOBAwc4evQoqVOnZt68eQQEBBi/ixkiGD16NMWLF4/DVkh8N2nSJCZOnEj+/Plp1qwZKVKk4NKlS/zwww/s3r2bxIkT06pVK2rVqgXA6tWr6dGjBwCdOnWiVatWcXn68o64e/cuNWrU4OHDhyxatIjMmTO/8HvBwcEEBwczduxYKlSogM1m4969e8bb3y/aSkPEIeZ9t379+oSFhZEhQwbSpEnDtWvXOHXqFN7e3tSsWZNatWqRNm3al07uaRJPXiVmhQpHlalTp05x9+5dEidOTO7cuY3vvixEYLPZiIiI4MyZMzx69IigoCC8vLw0oSdvLCIigk6dOpEzZ06WLl3KrFmzCAoKwmw2G4tjW7ZsYdKkSYSFhfHll1/SsGFDgoKC4vjMJT6KeX+MuWgRc0HsrxZyv/vuO5YsWYK3tzerVq0yPhN5FfU9iUsxx6GjRo1ixowZuLq6kjp1ah4/fsy1a9fw8fGhTp06VK1alXTp0v1liEDkTR05coRatWpRtGhRZs+eHetZD5720x07dtCrVy/MZjOVK1emVatW+Pn5xeFZi8jbRLNcIs+wWq2x/t3x5q3jLfDWrVvj5+fH9u3bMZlMsfaKFPm/cHJywmw207NnT86ePUvLli1ZsGABPXr0YNKkSaRNm5Y///yTBg0acO3aNeN3AwcOpGbNmjx48IBmzZoRGhoah62Q+Ozo0aPMmzeP7NmzM2DAAMqUKUP27Nn59NNP6dWrF82aNePevXssWLCAnTt3AlClShVGjRoFPK1ccOzYsbhsgrwjkiRJQokSJYiMjOTgwYMAse61jnuz443II0eOAE8DfQoPyOtylALt2bMnYWFhtGzZkh9//JGpU6eyevVqunTpQnh4OD/99BNnz57FZrORPHlyRo0aRaFChThx4gQNGzbk2rVrCg/IC+3fv99YwDCbzUaVqXbt2vHVV1/RsmVLWrRoQZ8+fYzfFChQgHHjxpEsWTLWrVtHt27djP1yEyZMSP78+SlZsiTJkydXeED+lnXr1rF9+3ZWrVpFREQEV69eBcDNzc2415YtW5a2bduSPXt2Vq5cybx58zh79mxcnrbEU47744gRI+jevTtRUVGxFnCtVit+fn6MGzeO/Pnzc/ToUbp162ZUW0mQIAHdunXjs88+o127dlrAldemvidxyTEOnTdvHjNmzKBkyZIsXryYNWvW8PPPP9OzZ08iIyNZunQpoaGhmM3m58YZrVq14vLlywoPyN+WOnVqAgICuHv3LvD0Wc8xlwJP+2m+fPnImjUrDx48YOPGjYwdO5b79+/H0RmLyNtGM13y3ouOjgb+txjheDBbsGABx44d48mTJwC4uLhgtVrx9fUlb9687Ny5k1WrVgGqQCD/d47Juj179rB9+3Y+/vhjmjdvbgx6L168yPXr1/H39+fKlSs0bNjQmOwDGDRoEJUqVQKItcWByJu4cOECDx48oE6dOmTJkgW73W6EqtKkSUONGjWoWbMmZ86c4ZdffjF+99lnnzF06FC6dOlCzpw54+r0JZ6JOXAFiIqKivXvBQsWxGq1MmTIEPbt2xcrsOe474aHhwMYb0XGvB/r3iyv4/z58+zatYuiRYvSqlWrWBN0jj3nP/30U0qXLs3ly5exWCzG5F62bNm4cuWKETIViWn8+PHUr1+f2bNnY7VacXNzIyIigq+++orffvuNNGnSUKhQIaxWKytWrKBdu3bGb58NEXTt2tW4/j0bdhZ5UzVr1qRdu3Zcv36dJ0+ecPLkyVifO+7PMUMEa9asYeLEiZw7dy4uTlniuXPnzrF48WI2bNjA8OHDX7qQO2HCBNKlS8fhw4fp2rWrsZDr5eXF8OHDady4MfD8M6TIy6jvSVy6e/cuq1evJmnSpLRv356cOXPi4uKCi4sLDx8+xGKxEBQURPHixTGbzTx+/NgYZ+TLl48zZ85w+PDhuG6GxFN2ux1XV1f8/f05deoUwcHBAEZlM3i6JuLt7U2BAgXw8/PDbDbz888/a3wrIgYFCOS9du3aNQYPHsydO3divTm2fPlyhgwZQoMGDejfvz/r168Hnt5kfXx8qF27NgC//vorZrNZFQjk/8yx0HXixAmioqJo0KCB8VaZ2WxmwIAB5MqVi40bN1KoUCEuX75MgwYNOH/+vHGM0aNH89tvv5EhQ4Y4aYPEX47Bw6lTpwBwdXU1Pou5mJY8eXIqV66Mh4cHixYt4ty5c8ZCRrVq1WjRokWs44m8jNVqNe67a9asoXfv3nz++edGCVF4Gkz56quviI6OpkmTJmzdutUI/ZlMJg4cOMCcOXNImDAhadOmjbO2SPx27tw5wsPDqVSpEp6ensDTa1itWrU4evQo9evXp2PHjixbtoy2bdty48YN4On1cNq0aWzZskVvpMlzIiMjAfD09GTOnDnMmTMHm83GL7/8wrFjx2jevDnLly9n5syZzJw5k0SJErF58+ZXhghat26N3W7XW2jyxmKOVc1mMwDt2rWjY8eOAEyYMIHVq1cDGBX2YoYI2rdvT/LkyQkNDSVhwoT/8dnLuyAwMJDRo0eTOnVqli5dyrBhw55byLVYLPj5+fHNN9/g4uLCkSNHaNmyJRcvXgSevtABGBVZRF6H+p7EpVu3bhEWFsbHH39svGhhMpkIDg5m8uTJFCtWjP79+2M2m+nSpQsXLlwAno4zRo8ezfjx46lcuXJcNkHigWfDxY4XIU0mEz4+Pnz99dd4enqyaNEilixZAvyvAq5j7u/AgQMEBAQwd+5cVq5cqS0MRMSgJx95r926dYu1a9cyZMgQ4y3GTZs2kS9fPlq2bEn69OlZs2YNXbp0oUOHDixfvpzw8HCKFy/OF198YUwC6i1H+afcu3cPgNOnTwNPB6kdOnTg2rVr1KxZkwQJEtCrVy9SpEjBlStXaN68OYsXL+aPP/4AwN/fP87OXeIvx0SIYxHsypUrwIvfcsyVKxdFixY1FjBetJChiRV5FZvNZvSbMWPG0L17d9auXcuNGzc4c+YMZrPZWODo0aMHNWvWJDo6mvbt29O/f3/mzJnD9OnT6dWrF+fOnaNjx47ky5cvLpsk8YTjTYqYi2mOCRZHVZ/o6Gjq1q3LkSNHaN68OS1btsTNzY0dO3Zw9uxZDh06ZPzW39+fVKlS/YctkPgiQYIE1KtXj7Zt2xIZGcnMmTOZP38+u3btIjAwkE6dOhnXwdy5c7Nw4UISJ07M5s2badu2rXGcAgUKMH78eNzc3Ni6dSs3b96MqyZJPOR4jnOMVW02m7EQBk+35nOECHr06MGPP/5ofD9m1Z/SpUvTr18/vv/+e4015I04+qCbmxvFixenV69epEyZkmXLlsVayI35bJg0aVLc3NwoUaIE58+f5/fff491TM29yOtQ35P/2ovmTu7fv4/dbufRo0fG34KDgwkODqZYsWJ07tyZ9OnTs3TpUn777Tfj5TW73U5AQACffPLJS48tAk/Ht87Ozjx+/NjYArdVq1Z069aNH374gRs3blCoUCFatmxJeHg4EydOZNKkScDT6yPA4sWLOXz4MEFBQWTKlInUqVPHZZNE5C3j8tdfEXl3ubu74+3tzYYNG3Bzc8Pd3Z0VK1YwcuRIOnfuTJ06ddizZw9z585l+/btbNq0icWLF9O2bVvSpUuHp6cn8+fPJ0uWLNqDVN5YzP25Hen3jz76iD179uDu7g7A9OnT2blzJ7Vr16ZcuXIA+Pj4EB0djYeHB1euXGHSpEmULVs2ztoh8Yuj372o/6VLlw5XV1fmzp3Lp59+SsaMGY29m2OWjn/y5Anu7u4kSJAgLpsi8UjM/uYImISEhDB9+nSKFClCu3bt8PHxwWazkSZNGtzc3IiOjsbV1ZVBgwaRIkUK1q5da2wdBBAQEMDAgQOpVasWgNFXRV7Gsf/8uHHjaNCgAYGBgWTNmhVPT0/CwsIwm800atSIw4cPG+EBx/Nd5syZ2bx5sxE4EHmRK1euGKESPz8/qlSpgs1mY+rUqUybNg2AwoULGxN9Hh4eWK1WMmbMyMKFC6lXrx5btmyhbdu2xuRe/vz5mT9/Pr6+vtqmSl6bxWLBxcXFmFA+duwYly5dIlGiRHz++ecULFiQ1KlT07p1a+DplhvdunUDoHLlysazouPeWrJkybhsjsQTzz6LRUdHG4uz7u7ulChRgj59+jBkyBCWLVsGQM+ePUmQIIExHjl79ixubm507tyZVq1aUaBAgThpi8Qv6nsS1xz97fvvvydXrlxkyZKFtGnT4ufnZ7ygMXXqVCM88PXXX5M9e3YAozqBI0T/bFhF1afkRaxWqzG+bdq0KYcOHcLNzQ1nZ2eioqL48ccfyZMnD9999x0tW7bEZDIxdepUJk6cyJYtW/Dz8yMyMpL9+/eTNGlSvvrqq1jVSEVEQAECeQ/dvn0bHx8f3NzcSJs2LWPHjmXIkCFG2cYSJUoYA4UUKVJQpUoVChcuzMWLFwkJCWHPnj18/fXX5MyZE7PZzIkTJ7h//z7e3t5avJDX4ugnMQcFjgFB9uzZ6dOnD/nz58disbBlyxYCAgLo1KmTsVjr4+OD3W6nYsWKlChRgpw5c+ptIHktjskReLp3fEREBG5ubri6upIwYUKKFi1KhQoVWLNmDe3atWPy5MmkT58e+N8gdv/+/Rw4cICCBQuSMGHCWAvDIs+Kec+N6cSJE8ydO5fs2bPTo0cPsmXLZnx27tw5wsLCOHDgAGnSpKFhw4a0adOGypUrc+HCBa5fv05gYCApU6YkXbp0gMID8nrsdjsjR45k8eLFfPrppwQGBpIsWTIyZcrE1q1bKVOmDLdv36Z169Y0bNgwVjj09OnTJEyYMFZfFYnp6NGjhISE0Lx5c3Lnzg1AsmTJaNCgAfA0NPXo0SMuXboEgIeHh/Hmo9VqJUOGDCxatIi6deuyZcsWOnTowIQJEwDIkydP3DRK4qWYE8pNmjTh8OHD+Pr64uXlRVhYGLt27aJkyZJUqVKFihUr0rp1a5ydnRkzZgzdunXDbrfz+eef6/lO3kjMccaGDRvYv38/O3bsIGXKlPj5+dGsWTPSpUtH2bJlMZlMDB48mGXLlmE2m+nTpw/e3t4cPHiQhQsXkixZMtKkSWPch/WcJ6+ividvi1WrVtG7d2/Gjx9PlixZ8PT0JEeOHGzbto0vvviCkydP8tFHH9GuXTsjPAAYW6RpnCFvwtnZGbPZTOvWrTl8+DD169enefPmREVFcffuXcaOHcu+ffto3bo1CxcupFGjRuTNm5cxY8YY22sEBgZSunRpunfvbsz9iYjEpACBvFcOHDhAr169qFWrFg0aNMDDw4MCBQqQJk0aTpw4ATydXE6SJAmA8fZjihQpSJEiBYUKFeLQoUOsW7eOn376CYvFwsWLF5kzZw59+vTRwEL+kuNtILPZTGhoKGfOnCEqKorUqVNTvHhxkiVLRv78+QHYvXs3R48epXbt2nh5eRnHCAkJ4e7du5QqVYry5cvHVVMknolZnnHhwoX89NNPnD59Gnd3dzJkyEDFihWpUaMGQ4cO5cGDB2zbto1GjRoxbNgw0qVLR6pUqdi2bRshISE8efKEatWqqfKKvJLjnlu7dm0aNGgQq2zylStXuH37Nh07diRbtmxYLBbMZjPff/89s2fPNsrJw9OwwciRIwkMDHzhXvPaj1Rel8lkImPGjMDTt20nTZpEsmTJ6NevH/Xr1+f27dvkzJmT1q1bxwq9LFy4kK1bt/LBBx+QMmXKuDp9ecvdvn2bn3/+mcjISPr370+aNGkYN24cderUoXbt2jg7OzNz5kyOHz/OuHHjaNeuHS4uLrFCBOnTp2fRokU0bNiQTZs20bVrV0aNGhXXTZN4xjGh3KZNG44ePWpMKLu6uhoBvm3btmG1WgkMDCRXrly0aNEC+N/WQmazmerVqytEIK8l5jhj9OjRhISEAE+3c7lz5w7h4eHs3buXOnXqUKNGDcqUKYPJZGLIkCH88MMPnDx5knTp0rFnzx7u3bvHwIEDY40z9JwnL6O+J28Tx9vbISEhFClSBF9fXzp16sTevXs5efIkadKkoUePHsZ4BJ6+oLF06VL8/f3JkCFDXJ26vOXu379PokSJYlUINZlMrFu3jj179lClShW+/vprPD09AUiXLh0RERH4+vry4YcfkjBhQsxmM4ULF2b69OmYzWb++OMP0qdPb1RnFhF5EQUI5L1hNpv55Zdf+OOPP/jzzz+Nctxnz57lzJkzFChQgFu3brFjxw66d+9O3759SZo0qZFmdvzfggULUrBgQT777DNOnDjBhAkT+PXXX2nUqNELFzbk/RazlG3Mt4Hat2/P7t27Y+1lliJFCrp3707RokVJnDgxvr6+uLi4GP3VarWydOlSvv/+e/LmzUvevHnjqFUSHzkmPxwTK47gQGRkJKGhoYSGhnLixAk6dOjAd999xzfffMMvv/xC69at8fHxwdfXl3PnzmEymejZsycVK1YEUAUCeaGX3XMdHIuzFy5cIDIykh9//JHffvuNLVu2AFCtWjVSpkzJ6tWr+fHHHylduvRL+5z6n7yJOnXqsHbtWo4ePUpYWBgffPABuXLlYuzYsXTq1Iljx47RrVs3ihQpQooUKdi0aRPr1q3D19eXfv36kThx4rhugrylkiZNSv78+dm5cycDBgwwrm958uShdOnSfP7558DT8rVLliwhYcKEfPXVVzg5OT0XIpg9ezZt27alSZMmcdwqia9++eUXdu/ezWeffRZrQrlYsWKMGDECd3d3smfPTvbs2bl9+zZ+fn60aNECZ2dnRo4cSd++ffn000/x8vLSfVb+kmOcMX36dEJCQihevDitWrUiXbp0REdHM336dDZv3kxISAg2m4369etTunRpvL29GThwICdPnuTkyZP4+fnRv39/Y3sqjTPkr6jvydvks88+Y9WqVezcuZOdO3dSsWJFsmXLxtixY+nYsSOXLl1i2rRpVK1alSRJknD8+HFmzpzJn3/+yaBBg4wKViIxjR07lp07dzJmzBjSpEkTqzLK8ePHcXFxoVGjRsazntVqpW7duoSFhdGiRQs6duzI8uXLOXXqFF26dMHX1xd4WilNROSvmOzPzuiKvMMuX77MwYMHKV26ND4+Phw/fpwcOXJw4sQJPDw8CA8Pp1evXpw5c4ZPP/2Ufv36kSRJklg352cHEsuXL6dv374MGTKE6tWrx1XT5C00ZMgQLBYLAwYMMPrN48ePadSoEceOHaN8+fJUrVqViIgIfvvtN1atWoWnpyddu3alatWqPHjwgDp16nD9+nVy586N2Wzm5MmTJE+enNmzZyudLK8lZknH3bt307p1awoVKkSnTp3Inj07kZGRbN68mWHDhnHv3j1q1qzJoEGDAJgyZQpHjx7l2LFjJEiQgDx58lC+fHnKlSsHqKSjvNqz99yjR48SFBSEm5sbZ8+epXr16jx+/Bg/Pz9u375tLGY0a9aMsmXLArBx40Y6depEz549ady4cdw2SOI9x/VwzZo1dO/enapVqzJs2DDj84MHD/LNN9/wxx9/xPpd7ty5GTZsWKy3hUSeFR0dzR9//MGQIUPYs2cPTk5OVK1alSFDhhjfuXPnDitXrmTatGm4ubnRrFkzGjdubIQInJycjH7qqIQm8iIxx6QvWugaNWoUM2bM4IcffiAoKAh4Wgmtfv36HD58mJYtW9KhQwfWrVvH2bNn6dKli/HbuXPnUrhwYeN3Iq/j7NmzNG/eHDc3N8aPH09QUJBxPYuMjGTNmjVMnz6dqKgoBg4caFTSi4iIYNu2bSROnJgkSZKQNWtWQOMMeX3qe/I2cPS5Xbt20bZtW4oXL87EiRONzx3b4d6+fTvW77y9vencuTP16tUDFF6R2MaNG8fUqVNxcXGhaNGi9O3blzRp0hj9rUOHDmzfvp3FixcTFBREdHQ0DRo04PDhwzRv3pyWLVtiMpmoUqUKbm5uLFiwwKi6LCLyOlSBQN5pjgcvx/8NDAwkICAAZ2dnxo4dy7x58+jTpw+VK1fGzc0Ns9lM7969GTp0KBs3bgR4LkRgMpliLchlypQJgM2bN1OpUiU8PDz0sCfs2bOHBQsWULBgQeB/WxfMmDGDI0eO0KBBA7p06WIkRMuXL8+uXbu4d+8e9+7dw9XVlZQpUxIcHEznzp0JCwvDy8uLIkWK0L9/f+1NJS/17ISy41p1584doqKiiIqKokmTJsaeewkSJODzzz8nceLExn6QqVKlomXLlrRu3Zro6Gju3r2Lp6cnHh4expvjmliRZ73qnjtu3DgWLFhA9+7dqVKlCpkyZWLatGl8++23REdH4+/vT7NmzciZMydp0qQxjuGYYAkICIjj1snbbu3ateTJk4fAwEDjnmuz2bBYLLi5ucUqcZs/f37SpEnD6tWrqVSpEsWLF8dms5E/f37mzp3LyZMnCQsLw8XFxXhDVxMt8ldcXV0JCAjg2rVrRuWoa9eucfbsWWO8kDRpUr788ksApk2bxowZMwBihQgc/TTmti8izzKZTNy9exd4umgR8y0ym81mfHb//n3jb47wQPPmzWnatCn3799nxIgR3Llzhxo1apA6dWpMJhONGjX6z9sjb78XLWrF/Nu1a9e4du0anTp1IigoyBiH2O12EiRIQNWqVXn48CFjxoxh6tSplCxZEnd3d7y8vIwqUzGPq3GGOKjvSVw7e/YsHh4epE6dOtY8iGNuOOa8S8aMGcmYMSM///wz69evp2LFitjtdgoXLsyiRYvYtWsXv//+u1GlKnfu3MY2pppjkWclSJDACBjv3LmTgQMHMmDAAAIDA7Hb7Xh7exMVFcWBAwfIkiXLc+EBb29vHjx4gJubG+fPn+fKlSsa14rIG9GshLzTIiIisFgsnD59GicnJwIDA429fe7fv4/NZjNKmTnSePnz56dPnz4MGTLkuRDBhQsXSJMmTay3grJkyULixImJiopSeEAMqVKlwtfXl7t372KxWHB1dcVut3P48GGSJk1K+/btjfCA2WymcePG3Lhxg1atWtGuXTs2bdqEn58f+fPnZ/78+dy8eZOECRPi5+dHwoQJ47h18jZ7UWl3x7YFpUqVImPGjOTMmRN4OkCFp6UfS5QoQY8ePWjbti1z586ldOnSZMmSBVdXV5InTw4Qqwy9BrbyLJPJhM1m49GjR3h6euLq6oqzszPh4eHcu3cPs9nMrFmzAPj8888pXLgws2fPxs3NzfhfzGMdPHiQJUuW4O/vT7p06eKoVRIfDBkyhAULFtCnTx9q1aqFq6srERERfPPNN6RPn55q1aqRJk0a4/upU6emTZs29OzZk3379lG8eHHg6TUxRYoUpEiRglKlSsVRayQ+eXai99KlSyROnJgPPviAP//8k507dzJs2DA6depErly5gBeHCJycnGjQoIEx+QzankVe7rfffuO3335j48aNODk58eTJE+rXr0+9evVIkiQJTk5ORvDu9u3bWK1W6tWr99yEMkCWLFkIDQ3FYrGoz8krvWhuxcPDwyiFfObMGQCioqKA/+1N7wiXuru707BhQ9avX09YWBgHDx6kaNGiL/xvqS9KTOp7Epd27txJ06ZNadKkSax5vHnz5mG32ylfvjwpU6Y0vp88eXJat25N27ZtjW0M7HY7drudNGnSkCZNGmrXrv3cf0fhAXmR/PnzGwv+Xl5eRoigf//+BAYGUrVqVdatW8eSJUtYsGABFy5coGXLljRt2tR41vP19cVkMpE1a1a9jCYib0wBAnlnhYWFMWvWLI4cOcLly5eBpw9ylSpVokOHDrRq1QofHx8WLFhASEgIgBEiyJcvX6wQgdVqpUKFCsydO5ekSZMyadIkY0G4V69e3Lt3j4QJE/L48WPjYVLeb35+fqRIkYILFy5w+fJl0qdPz9WrVzl58iQ+Pj7GwMBms9GwYcNYbwPt2bOHDh068OGHHzJt2jRjMUPkVe7fv8+tW7fYtWsXgYGBeHt788EHHwBP95v38vJi+/bt2O12Y9/vZ7dmKVu2LA0aNGD+/PncunWLLFmyxPpvaEJFXubChQvs2LGDrVu3cvPmTRInTkzKlCmpU6cOWbNmpWvXriRMmJAFCxYYb9xWqVIlVoWfgwcPcubMGUqXLs3+/fuZMWMGZ8+eZcCAAc/1RRGHYcOGsWDBAsqWLUvhwoWNku/Tpk1j06ZNACxZsoTWrVuTN29e8ubNC0DBggXJnDkzs2fPplKlSrH62F+VBpf329q1a7HZbHz++eexnuecnJwICgpiwoQJ+Pr6cvbsWcaMGcPOnTsxmUx07NgxVoigatWqAMyYMYPvvvsOFxcX6tevH2ftkvghODiY2bNnExERQapUqUiSJAlhYWEcPXqUihUrGpPMhQoVwtXVldGjRzNt2jTOnDlD06ZNY4UH7HY79+/fJyAggKRJk8Zls+Qt96q5laZNm5I0aVIyZ86MyWTiypUrADg7O8eq4hgdHY2Hhwf58uXj5MmThIeHx2WTJJ5Q35O4tGvXLlq2bElAQAA5cuQw5ntXr17Nt99+Czzd9qdjx47kyJHDqDiVP39+ihQpwqpVq6hVqxa5c+c2jvmycYbCA/IiBQsWpHLlysyfP5/WrVuzdetWtm/fzoABAxgwYACFChXis88+Y/Xq1VgsFj777DOaNWsW68WzWbNmce7cOapWraoKZyLyxnTVkHfS7t276dixIw8ePCBnzpxkzJiR+/fvc/36dcxmMy4uLqRMmZK6detis9lYtGjRcyGC/Pnz07dvX4YNG8bPP//M5s2bsdvtdOvWzXjAO3DgAFevXiVVqlSxytHL+81ms+Hm5kb69Ok5deoUp0+fJn369CRPnpxUqVJx/fp1Y+KuTp06HDlyJNbbQEmTJsXHx4fIyEjtfSuv5ffff2fatGns37/fKFUL0L9/f+rUqUP79u3x8PBg7ty53Lt3j4MHDxrhAiDW1iypUqUC4OTJkxQrVkyLZ/KX9u/fT79+/Th//jweHh44Ozvz559/snfvXn777TeKFStG69atadeuHTabjYULFzJjxoxYe/HduHGDfv36cfbsWUaMGEFkZCQuLi706tXLeENDfVGe9e233zJv3jw+/vhjOnXqRMaMGY3PGjduTOXKlZk3bx4bNmxg+PDhJE6cmBo1alCzZk1Sp05N7dq1GTx4MGvXrqV9+/Y4Ozsbk80O6nMSU79+/Vi2bBkA33//PWXKlOHTTz81KvXA03CAs7MzQUFBtGnTBoAdO3YAxAoR+Pn5Ubt2bSIjI1m1ahXFihX7j1sj8c2YMWOYPn06OXPmpEOHDhQuXBh3d3eOHj2Kq6urcQ28cOEChQsXpnLlyqxcuRIXFxdq165Nx44dY1X7mTNnDidOnKBSpUq4u7vHVbPkLfdXcyuJEiUCnlbg8/HxYe3ateTPn5+6desaZZednJyMce3jx49JkCBBrMpAIi+ividxadeuXTRt2pTAwEC6du1K+fLljc+KFi3K9OnTWb16NevWreObb74hTZo0fPnll9StW5fEiRPzxRdfsHv3bhYvXkzGjBnx8vICXlwxUuRFHEGo6tWrs379ejZv3kz79u15/PixUYlg2LBhNG/enBs3brBr1y4uX77Mzz//bIwrFi1axKJFi0iVKhVt2rTBw8MjjlslIvGNAgTyzjl69CgdO3YkQYIEtG/fPtabPCdPniRTpkzGvrgpU6Y0Pn9ZiGDkyJGMGjUKgHLlylG9enXjeAULFmTUqFEkTJhQewiJwZEczpcvHxs3buTatWsAWCwW0qZNy5EjR+jTpw/nz5/nyJEjz70N5ObmhtlsViBFXsvu3bvp0KEDERERlClThtSpUxMZGcnmzZu5f/++sd1K8+bNAZg8eTJTpkwhW7ZslCxZ0jiOo99aLBYAsmbNCmhQK68WGhpKq1at8PT0pG3btlSvXp3o6GjMZjNLliwhNDSUtWvXcvz4cUaMGEGnTp2A5++5yZMnp1OnTqxatYpHjx6RJUsWihcvbpSRV0lHedawYcNeGB6w2+1YLBaSJElCkiRJGDx4MFWqVGH//v3MnDmT6dOns3btWj7++GPq1q1L7ty5+eWXX2jRogXe3t4KqsgrOd5u/Oijj7h48SLDhg1j5syZ1KlTh7x581K0aFFjGwJnZ2fy589P69atgf+FCLp27UpQUBDbtm0jY8aMtGvXjoYNG5I4ceK4aZTECwsXLmTmzJmUKlWKzp07kzVrVqxWKwA5c+Y07pE//PAD33//PeXLl2fIkCFcuXKFPXv2sH37dkJDQ/Hz8yNZsmTMnz+fJUuWkDJlSjp16qQAgbzQ68ytON72zpAhAz179uSbb75h/PjxeHh48OWXX8bammX//v388ssvZMyYEV9fX91z5aXU9yQuOcIDqVOn5uuvvzbCAzabDbvdjr+/P/7+/nz00UdUrFiR/fv3M3/+fMaMGcOGDRsoV64c9evXp1SpUuzZs4cHDx7g5eWlMa28EUdfCQwMpGjRovz00088fPiQ7t27M3jwYHbs2EGvXr0YMWIE33zzDcHBwWzevJlevXqRLFkynjx5wsOHD0mbNi2TJk0iMDAwjlskIvGRyR5zQ2OReO727dt07dqVo0eP0rdvX6M0qGMBzcHx0OYYNFy7do0FCxawcOFC/P39ad68uREigKeT0ZGRkUZi1GazYTKZNOAQ4PmFLUe/2rhxI506daJMmTJMnDgRZ2dnTp48SZ06dYiKisLV1dXYRy1mGanx48czZcoUOnToQJs2bTS4lZc6cuQITZo0IVGiRLRq1YoaNWoYn509e5Z06dIZgSlHH50xYwbjxo3DxcWFESNGUKxYMSO8cujQIXr16kVUVBQzZ86M9TavyLNiTqx07NiRzz77LNbn0dHRHDx4kDlz5vDrr7+SIkUKJk2aRIYMGZg4cSKLFy8mWbJkNG/enM8//xx3d3eePHlivAX+bGlwEYdhw4Yxd+7cF1YesFgsxj315MmTBAUFGZ+dOnWKXbt2sXTpUi5evEiiRIlIkCABV69epUmTJnTv3v0/b4vEL8uXL2fw4MGUK1eOZs2aMX/+fDZv3syjR48AqF69OgUKFKBSpUrGOMJms3Hw4EGmTJnCzp07yZcvH5kyZWLLli3kyZOHCRMmqOKUvNLZs2dp164dZrOZCRMmkDNnTuOzmPfI9evXM2HCBC5evIjJZGLQoEFUq1aNrl27sn79egDjHhsdHW1MKDtKLovE9CZzK46xqtVqZcqUKUyaNAmAdu3aUalSJfz8/Ni7dy8zZszg0KFDDB8+nC+++OI/b5PED+p7EpdiVh74+uuv+eSTT4Dn54Fv3LgRqwLV0aNH2bBhAz/99BNXr14lICCAFClScPDgQapXr86QIUPipD0Sfzjmfl+0zcXVq1epWrUqZcqUYdiwYRw7dozBgwdz5MgRSpQowbBhw0iYMCHbt29nwYIFREZG4uPjQ8GCBalSpQopU6aM49aJSHylAIG8Exw31AMHDtCkSROqVatGv379gL9eeIiOjsbJyYmoqCgmT57MokWL8Pf3p0WLFnz++eexyjzG/G+JvIyjj9y+fZsvvviCNGnSsGjRIuPzNWvW0L9/f6Kioqhbty79+vXDbDbj5uZGSEgIM2bMIEmSJMyaNUsPefJSt27domvXrhw7dox+/fpRpUoV4OniWczFV3h6nXv06JFRKWXBggUMHz4cJycnPv74YzJlysSTJ0/YuHEjFy9eNLY+EHmZmOGBrl27GhMrjq0wYg5+z58/z7hx4/j555/JnTs348aNw8PDg5kzZ7Jo0SIjRBAzuCfyMo5tC8qVK0fnzp1jhQcc/Q+gR48e/PnnnwwaNOi5MFR4eDiLFi1i7969xlvhH374IZMmTVL1H3mlBw8eULNmTR4/fszkyZPJkSMHhw4dYt++fYSEhBAVFYXFYiF79uxUr16d3LlzkzNnTux2O8ePH2fChAn89ttvACRJkoR58+Zp8Vb+0g8//EDPnj0ZOnQo1apVM/4ec1y6fv16Ro8ezY0bN6hduzbff/89jx8/pn///tSuXZtNmzaxY8cOLly4QOLEiSlYsCDly5cnRYoUcdUseUv9nbkVx2+sVivXr18nNDSUPn36AODh4YGTk5OxPVW3bt1o1KhRrN+JgPqexL2XjXGfDQ+sX7+exYsX061bN3Lnzm383mazcf/+fWbMmMGePXs4fvw4AAEBASxYsICAgID/vlHy1ps+fTq5cuUiV65cxss9Ma95NpsNm83GyJEjmTdvHtOnT6dEiRIcPXqUb7/9lsOHD1O8eHH69+9PYGDgc2ErEZH/C21hIO8Ex0PcDz/8wJMnT4y3IGNOJL/I48ePmT17Ntu2baNr1660aNECk8nEsmXLmDRpEk+ePKFOnTqxBioaZIjDkCFDOHHiBBkzZqREiRIkSZKEfPnyYbVacXV1xcfHBx8fH06fPs3FixdJmzYtJpOJjz/+GLPZzNChQ1m0aBH79u3Dx8eHR48ecfr0afz9/Zk4caLCA/JKt27d4ujRo1StWjVWeCBmNYsDBw6we/dufvvtNyIjI8mSJQsVK1akfv36mEwmxowZw7p16wBInjw5mTJlomXLlsZbHppYkRfZtWsXLVq0IDAwkF69esXaZsBxz3X0G5PJRMaMGWnRogX379/n4MGDrFmzhlatWlG7dm0Ali1bxuTJkzGbzc/dc0ViGjp0KPPnz6d8+fL06NGDVKlSGZ/FfObr3r07a9asoVq1as+VhbfZbHh7e9O8eXOaNGnCqlWr2Lp1K126dFF4QF7JarXi6+vLV199xYABA1i7di05cuQgX7585MuXjwoVKrBz504mTJhAWFgYw4YNw8nJiSZNmpA3b15KlizJ4MGD2bp1Kzdu3KBq1aoqJSqvZLPZsFqtLFmyBCcnJ3LkyBFrEcNxr127di0TJkzg+vXrzJkzh0KFCpEuXTpGjhzJkCFDCA8Pp1mzZpQvX56oqChd6+SV/s7cislkIioqinnz5rF161a6d+/O0qVLWbZsGRcvXsRsNpM/f36KFy9OiRIlAFWYkuep70lcetUYN+Y9d926dXz99dfkyJHjhf0ySZIkdOvWjbt37/Ljjz+ybNkyateurfCAvNDw4cOZM2cOLi4uVKpUiQ8//JAqVao8V43R8fLPwoUL+emnnyhRogTZsmWjV69efPvtt+zYsYMBAwYwYMAAAgMDn6u8LCLydylAIO+UO3fukCBBAnx9fQFeGR6Ap4nk27dvc/jwYX755RcKFixInTp1sFqtzJkzhwQJEmhgIS+0ZMkSFixYADxdpF22bBkA2bNnJ3HixJQuXZo8efJQoEABVq1axZ07d0iXLh0Anp6eVK9encyZMzNmzBiuXbvG4cOHyZAhA9WqVaNVq1aaUJa/FBoaSlRUFB9++CHw9I1aR1r53LlzbN++nREjRgBPgwAAZ86cYf/+/Tx69Ih69eoRERHB/PnzuXPnDnXr1uXLL78kWbJkwF8HsOT9dPPmTdq2bYvFYiFDhgzGxIqjisrLZMuWjc8//5wDBw6watUq6tevT2BgIPXr19c9V17L0aNHmT9/PvD0+c0RHnBUknJcr7p27cratWv58ssvadu2rVF5xcExkQLg4uJCjRo1jC00RF7F0cfy5MmDr68vc+fOpXz58uTLlw94uj/ptWvXuHv3LsmSJSNPnjxs3ryZKVOmAFCxYkX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+ }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "warnings.filterwarnings('ignore')\n", + "msno.matrix(df)\n", + "warnings.filterwarnings('default')" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2023-06-20T09:46:04.681718300Z", + "start_time": "2023-06-20T09:46:04.408258500Z" + } + } + }, + { + "cell_type": "code", + "execution_count": 11, + "outputs": [ + { + "data": { + "text/plain": "
", + "image/png": 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" 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Event_gender Medal \n770 NaN NaN \n771 NaN NaN \n772 NaN NaN \n773 NaN NaN \n774 NaN NaN \n.. ... ... \n882 NaN NaN \n883 NaN NaN \n884 NaN NaN \n885 NaN NaN \n886 NaN NaN \n\n[117 rows x 11 columns]", + "text/html": "
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885NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
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117 rows × 11 columns

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" + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# return only the cols with at least 5 missing values\n", + "df[df.isna().sum(axis=1) > 2]" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2023-06-20T09:46:05.225119700Z", + "start_time": "2023-06-20T09:46:05.067628400Z" + } + } + }, + { + "cell_type": "code", + "execution_count": 13, + "outputs": [], + "source": [ + "# drop the empty columns" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2023-06-20T09:46:05.225119700Z", + "start_time": "2023-06-20T09:46:05.098890Z" + } + } + }, + { + "cell_type": "code", + "execution_count": 14, + "outputs": [ + { + "data": { + "text/plain": "Empty DataFrame\nColumns: [City, Year, Sport, Discipline, Event, Athlete, Gender, Country_Code, Country, Event_gender, Medal]\nIndex: []", + "text/html": "
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CityYearSportDisciplineEventAthleteGenderCountry_CodeCountryEvent_genderMedal
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" + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "missing_vals = df.isna().sum(axis=1)\n", + "\n", + "drop_rows = missing_vals[missing_vals > 2].index\n", + "\n", + "df.drop(drop_rows, inplace=True)\n", + "df.reset_index(drop=True, inplace=True)\n", + "\n", + "df[df.isna().sum(axis=1) > 2]" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2023-06-20T09:46:05.225119700Z", + "start_time": "2023-06-20T09:46:05.114909Z" + } + } + }, + { + "cell_type": "code", + "execution_count": 15, + "outputs": [ + { + "data": { + "text/plain": "Empty DataFrame\nColumns: [City, Year, Sport, Discipline, Event, Athlete, Gender, Country_Code, Country, Event_gender, Medal, feature]\nIndex: []", + "text/html": "
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CityYearSportDisciplineEventAthleteGenderCountry_CodeCountryEvent_genderMedalfeature
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" + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# verify if there are outliners defined as out of 3 standard deviation\n", + "numerical_cols = df.select_dtypes(include=['float64', 'int64'])\n", + "\n", + "means = numerical_cols.mean()\n", + "stds = numerical_cols.std()\n", + "\n", + "# set the threshold to 3 standard deviations\n", + "threshold = 3\n", + "\n", + "outliers = pd.DataFrame()\n", + "\n", + "for col in numerical_cols.columns:\n", + " col_outliers = df[(df[col] < means[col] - threshold * stds[col]) |\n", + " (df[col] > means[col] + threshold * stds[col])]\n", + " col_outliers['feature'] = col\n", + " outliers = pd.concat([outliers, col_outliers])\n", + "\n", + "outliers.head()" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2023-06-20T09:46:05.225119700Z", + "start_time": "2023-06-20T09:46:05.146554900Z" + } + } + }, + { + "cell_type": "code", + "execution_count": null, + "outputs": [], + "source": [], + "metadata": { + "collapsed": false + } + }, + { + "cell_type": "code", + "execution_count": 19, + "outputs": [ + { + "data": { + "text/plain": "array([[]], dtype=object)" + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "text/plain": "
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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# check distribution\n", + "df_numeric_ = df.select_dtypes(include=[np.number])\n", + "df_numeric_.hist()" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2023-06-20T09:47:41.224385500Z", + "start_time": "2023-06-20T09:47:41.114550700Z" + } + } + }, + { + "cell_type": "code", + "execution_count": 16, + "outputs": [ + { + "ename": "ValueError", + "evalue": "No variables found for grid columns.", + "output_type": "error", + "traceback": [ + "\u001B[1;31m---------------------------------------------------------------------------\u001B[0m", + "\u001B[1;31mValueError\u001B[0m Traceback (most recent call last)", + "Cell \u001B[1;32mIn[16], line 2\u001B[0m\n\u001B[0;32m 1\u001B[0m \u001B[38;5;66;03m# check relation with df pairplot\u001B[39;00m\n\u001B[1;32m----> 2\u001B[0m \u001B[43msns\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mpairplot\u001B[49m\u001B[43m(\u001B[49m\u001B[43mdf\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;28;43mvars\u001B[39;49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mnumerical_cols\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mcolumns\u001B[49m\u001B[43m[\u001B[49m\u001B[43m:\u001B[49m\u001B[38;5;241;43m-\u001B[39;49m\u001B[38;5;241;43m1\u001B[39;49m\u001B[43m]\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mhue\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[38;5;124;43m\"\u001B[39;49m\u001B[38;5;124;43mGender\u001B[39;49m\u001B[38;5;124;43m\"\u001B[39;49m\u001B[43m)\u001B[49m\n", + "File \u001B[1;32m~\\miniconda3\\envs\\MchineLearning\\lib\\site-packages\\seaborn\\axisgrid.py:2114\u001B[0m, in \u001B[0;36mpairplot\u001B[1;34m(data, hue, hue_order, palette, vars, x_vars, y_vars, kind, diag_kind, markers, height, aspect, corner, dropna, plot_kws, diag_kws, grid_kws, size)\u001B[0m\n\u001B[0;32m 2112\u001B[0m \u001B[38;5;66;03m# Set up the PairGrid\u001B[39;00m\n\u001B[0;32m 2113\u001B[0m grid_kws\u001B[38;5;241m.\u001B[39msetdefault(\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mdiag_sharey\u001B[39m\u001B[38;5;124m\"\u001B[39m, diag_kind \u001B[38;5;241m==\u001B[39m \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mhist\u001B[39m\u001B[38;5;124m\"\u001B[39m)\n\u001B[1;32m-> 2114\u001B[0m grid \u001B[38;5;241m=\u001B[39m \u001B[43mPairGrid\u001B[49m\u001B[43m(\u001B[49m\u001B[43mdata\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;28;43mvars\u001B[39;49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[38;5;28;43mvars\u001B[39;49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mx_vars\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mx_vars\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43my_vars\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43my_vars\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mhue\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mhue\u001B[49m\u001B[43m,\u001B[49m\n\u001B[0;32m 2115\u001B[0m \u001B[43m \u001B[49m\u001B[43mhue_order\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mhue_order\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mpalette\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mpalette\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mcorner\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mcorner\u001B[49m\u001B[43m,\u001B[49m\n\u001B[0;32m 2116\u001B[0m \u001B[43m \u001B[49m\u001B[43mheight\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mheight\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43maspect\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43maspect\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mdropna\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mdropna\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[43mgrid_kws\u001B[49m\u001B[43m)\u001B[49m\n\u001B[0;32m 2118\u001B[0m \u001B[38;5;66;03m# Add the markers here as PairGrid has figured out how many levels of the\u001B[39;00m\n\u001B[0;32m 2119\u001B[0m \u001B[38;5;66;03m# hue variable are needed and we don't want to duplicate that process\u001B[39;00m\n\u001B[0;32m 2120\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m markers \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m:\n", + "File \u001B[1;32m~\\miniconda3\\envs\\MchineLearning\\lib\\site-packages\\seaborn\\axisgrid.py:1266\u001B[0m, in \u001B[0;36mPairGrid.__init__\u001B[1;34m(self, data, hue, vars, x_vars, y_vars, hue_order, palette, hue_kws, corner, diag_sharey, height, aspect, layout_pad, despine, dropna)\u001B[0m\n\u001B[0;32m 1263\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39msquare_grid \u001B[38;5;241m=\u001B[39m 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vars=numerical_cols.columns[:-1], hue=\"Gender\")" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2023-06-20T09:46:05.364587500Z", + "start_time": "2023-06-20T09:46:05.162190600Z" + } + } + }, + { + "cell_type": "raw", + "source": [ + "The best data would be to have already an information on how 2 persons are vewing each other and try to infere the missings. But in reality it would be harder have that and we could try another approach.\n", + "\n", + "We could propose how similar one person is to another and then propose a % of match.\n", + "\n", + "We only have the biological gender and not the sexual orientation, we would greatly increase the precision of the outcome having that information to do a better match.\n", + "\n", + "The idea could be to propose how similar these peoples are. One Idea is to try apply a dimension reduction an see the distance between 2 persons. That would be how similar 2 persons are based on the most important features.\n", + "\n", + "Another way would be to use all most important dimensions and find the eucledian distance.\n", + "\n", + "A third way is would be applyying a clustering model, and find groups of people that are in the same cluster and suppose they would be a couple.\n", + "\n", + "I dont have the time to do all so i will try the third option. Which is definetly possible with out data. Because the clustering is not a superviosiond learning alghoritm.\n", + "\n", + "In all cases would be good to apply a scaling of the data and having ranges between 0 and 1. Also since we miss the sexual preference we should pair with male/female sex only." + ], + "metadata": { + "collapsed": false + } + }, + { + "cell_type": "code", + "execution_count": null, + "outputs": [], + "source": [ + "from sklearn.preprocessing import LabelEncoder, OrdinalEncoder, OneHotEncoder\n", + "from sklearn.preprocessing import MinMaxScaler, StandardScaler\n", + "\n" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "start_time": "2023-06-20T09:46:05.333335800Z" + } + } + }, + { + "cell_type": "code", + "execution_count": 20, + "outputs": [ + { + "ename": "ValueError", + "evalue": "could not convert string to float: 'Montreal'", + "output_type": "error", + "traceback": [ + "\u001B[1;31m---------------------------------------------------------------------------\u001B[0m", + "\u001B[1;31mValueError\u001B[0m Traceback (most recent call last)", + "\u001B[1;32m~\\AppData\\Local\\Temp\\ipykernel_21052\\2525431524.py\u001B[0m in 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\u001B[0mnp\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mndarray\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[1;32m-> 2070\u001B[1;33m \u001B[1;32mreturn\u001B[0m \u001B[0mnp\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0masarray\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mself\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0m_values\u001B[0m\u001B[1;33m,\u001B[0m \u001B[0mdtype\u001B[0m\u001B[1;33m=\u001B[0m\u001B[0mdtype\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0m", + "\u001B[1;31mValueError\u001B[0m: could not convert string to float: 'Montreal'" + ] + } + ], + "source": [ + "from sklearn.cluster import KMeans\n", + "\n", + "kmeans = KMeans(n_clusters=5, random_state=0, n_init=\"auto\").fit(df)" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2023-06-20T09:48:49.160378200Z", + "start_time": "2023-06-20T09:48:49.066666900Z" + } + } + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +}

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