{ "data_id": "43817", "name": "English-Premier-League-Data-2009---2019", "exact_name": "English-Premier-League-Data-2009---2019", "version": 1, "version_label": "v1.0", "description": "Context\n\nAs the EPL season is put on hold due to COVID-19, let us look into the data from the past 10 seasons.\nWe have data from 3800 matches which could give interesting insights about the English Premier League and the teams.\nContent\nEvery match in the 10 seasons from 2009 till 2019 is listed with the following details.\nDiv - Division (E0) \nDate - Date of the match\nHomeTeam\nAwayTeam\nFTHG - Full Time Goal of Home Team\nFTAG - Full Time Goal of Away Team\nFTR - Full Time Result (H - Home side win, A - Away side win, D - Draw)\nHTHG - Half Time Goal of Home Team\nHTAG - Half Time Goal of Away Team\nHTR - Half Time Result (H - Home side win, A - Away side win, D - Draw)\nReferee - Name of the referee who officiated the match\nHS - Total shots made by home team\nAS - Total shots made by away team\nHST - Total shots on target made by home team\nAST - Total shots on target made by away team\nHF - Total fouls committed by home team\nAF - Total fouls committed by away team\nHC - Total corners received for home team (conceded by away team)\nAC - Total corners received for away team (conceded by home team)\nHY - Total yellow cards received for home team\nAY - Total yellow cards received for away team\nHR - Total red cards received for home team\nAR - Total red cards received for away team\nAcknowledgements\nThis data was created from the files downloaded from the link below.\nhttps:\/\/www.football-data.co.uk\/englandm.php\nInspiration\nTry to answer the following questions.\n\nHow many matches were played in EPL between 2009 - 2019?\n How many teams played in the EPL during these 10 seasons?\n Which are they?\nHow many games were played by each team in these 10 seasons?\nWhich teams played all the seasons in EPL from 2009 - 2019?\n Which teams played only 1 season in EPL between 2009 - 2019?\nHow much percent of the total matches were won by the home team, away team or draw?\nHow many referees officiated the EPL matches between 2009 and 2019?\n List them with the total number of matches officiated.\nIn how many games did the teams loosing at half time come back to win the game at full time (comeback wins)? List all of them.\nSort the comeback wins based on year.\nSort the comeback wins based on season.\nGenerate a data frame with the following info,\na. Number of games per team.\nb. Home wins per team.\nc. Home defeats per team.\nd. Away wins per team.\ne. Away defeats per team.\nf. Number of draw per teams (home and away combined).\ng. Total points in EPL across 10 seasons.\nExtract the total points gained by teams who played in all 10 seasons.\nWhich game\/games produced most number of goals? List them.\nFind out the total goals scored by each team at home, away and in total.\n Find the average goals scored per game at home and away (not combined).\nFind the total number of dominant performances by each team. (Winning by a goal margin of 3 or more goals at Full Time).\nFind the total points collected by each team per season. Extract the points table of the teams who played all 10 seasons.\nFind the total shots on goal (shots and shots on target separately) made by each team.\nExtract the shots and goals stats of the teams who played all 10 seasons.\nFind the conversion rates (goals\/shots) for the teams which played all 10 seasons.\nFind the average goals conceded home and away for all the teams.\nFind the total yellow and red cards given to home and away teams.\nFind the total yellow and red cards given to each team home and away.\nFind the total number of yellow and red cards awarded by each referee.\nFind the total number of fouls committed by each team home and away.\nFind the yellow card per foul in and red card per foul in for every team.\nFind the corners gained\/conceded during home and away games for each team.\n Also find the total corners gained and conceded during 2009 - 2019.\nFind the EPL champions of each year with their points.\n If 2 teams have equal points in a season, find the champion by goal difference. (Total Goals Scored - Total Goals Conceded)\n Find how many teams became EPL champions during 2009 - 2019. List their names.\n Find the team which won the EPL more times between 2009 - 2019.", "format": "arff", "uploader": "Elif Ceren Gok", "uploader_id": 30125, "visibility": "public", "creator": null, "contributor": null, "date": "2022-03-24 15:29:55", "update_comment": null, "last_update": "2022-03-24 15:29:55", "licence": "CC0: Public Domain", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/22102642\/dataset", "default_target_attribute": null, "row_id_attribute": null, "ignore_attribute": "\"Div\"", "runs": 0, "suggest": { "input": [ "English-Premier-League-Data-2009---2019", "Context As the EPL season is put on hold due to COVID-19, let us look into the data from the past 10 seasons. We have data from 3800 matches which could give interesting insights about the English Premier League and the teams. Content Every match in the 10 seasons from 2009 till 2019 is listed with the following details. Div - Division (E0) Date - Date of the match HomeTeam AwayTeam FTHG - Full Time Goal of Home Team FTAG - Full Time Goal of Away Team FTR - Full Time Result (H - Home side win, A " ], "weight": 5 }, "qualities": { "NumberOfInstances": 3800, "NumberOfFeatures": 22, "NumberOfClasses": null, "NumberOfMissingValues": 0, "NumberOfInstancesWithMissingValues": 0, "NumberOfNumericFeatures": 16, "NumberOfSymbolicFeatures": 0, "PercentageOfBinaryFeatures": 0, "PercentageOfInstancesWithMissingValues": 0, "AutoCorrelation": null, "PercentageOfMissingValues": 0, "Dimensionality": 0.005789473684210527, "PercentageOfNumericFeatures": 72.72727272727273, "MajorityClassPercentage": null, "PercentageOfSymbolicFeatures": 0, "MajorityClassSize": null, "MinorityClassPercentage": null, "MinorityClassSize": null, "NumberOfBinaryFeatures": 0 }, "tags": [ { "uploader": "38960", "tag": "Machine Learning" }, { "uploader": "38960", "tag": "Medicine" } ], "features": [ { "name": "Div", "index": "0", "type": "string", "distinct": "1", "missing": "0", "ignore": "1" }, { "name": "Date", "index": "1", "type": "string", "distinct": "1026", "missing": "0" }, { "name": "HomeTeam", "index": "2", "type": "string", "distinct": "36", "missing": "0" }, { "name": "AwayTeam", "index": "3", "type": "string", "distinct": "36", "missing": "0" }, { "name": "FTHG", "index": "4", "type": "numeric", "distinct": "10", "missing": "0", "min": "0", "max": "9", "mean": "2", "stdev": "1" }, { "name": "FTAG", "index": "5", "type": "numeric", "distinct": "8", "missing": "0", "min": "0", "max": "7", "mean": "1", "stdev": "1" }, { "name": "FTR", "index": "6", "type": "string", "distinct": "3", "missing": "0" }, { "name": "HTHG", "index": "7", "type": "numeric", "distinct": "6", "missing": "0", "min": "0", "max": "5", "mean": "1", "stdev": "1" }, { "name": "HTAG", "index": "8", "type": "numeric", "distinct": "6", "missing": "0", "min": "0", "max": "5", "mean": "1", "stdev": "1" }, { "name": "HTR", "index": "9", "type": "string", "distinct": "3", "missing": "0" }, { "name": "Referee", "index": "10", "type": "string", "distinct": "30", "missing": "0" }, { "name": "HS", "index": "11", "type": "numeric", "distinct": "40", "missing": "0", "min": "0", "max": "43", "mean": "14", "stdev": "6" }, { "name": "AS", "index": "12", "type": "numeric", "distinct": "31", "missing": "0", "min": "0", "max": "30", "mean": "11", "stdev": "5" }, { "name": "HST", "index": "13", "type": "numeric", "distinct": "23", "missing": "0", "min": "0", "max": "24", "mean": "6", "stdev": "3" }, { "name": "AST", "index": "14", "type": "numeric", "distinct": "21", "missing": "0", "min": "0", "max": "20", "mean": "5", "stdev": "3" }, { "name": "HF", "index": "15", "type": "numeric", "distinct": "24", "missing": "0", "min": "0", "max": "24", "mean": "11", "stdev": "3" }, { "name": "AF", "index": "16", "type": "numeric", "distinct": "25", "missing": "0", "min": "1", "max": "26", "mean": "11", "stdev": "4" }, { "name": "HC", "index": "17", "type": "numeric", "distinct": "20", "missing": "0", "min": "0", "max": "19", "mean": "6", "stdev": "3" }, { "name": "AC", "index": "18", "type": "numeric", "distinct": "19", "missing": "0", "min": "0", "max": "19", "mean": "5", "stdev": "3" }, { "name": "HY", "index": "19", "type": "numeric", "distinct": "8", "missing": "0", "min": "0", "max": "7", "mean": "1", "stdev": "1" }, { "name": "AY", "index": "20", "type": "numeric", "distinct": "10", "missing": "0", "min": "0", "max": "9", "mean": "2", "stdev": "1" }, { "name": "HR", "index": "21", "type": "numeric", "distinct": "3", "missing": "0", "min": "0", "max": "2", "mean": "0", "stdev": "0" }, { "name": "AR", "index": "22", "type": "numeric", "distinct": "3", "missing": "0", "min": "0", "max": "2", "mean": "0", "stdev": "0" } ], "nr_of_issues": 0, "nr_of_downvotes": 0, "nr_of_likes": 0, "nr_of_downloads": 0, "total_downloads": 0, "reach": 0, "reuse": 0, "impact_of_reuse": 0, "reach_of_reuse": 0, "impact": 0 }