{ "data_id": "43530", "name": "Domestic-Football-results-from-1888-to-2019", "exact_name": "Domestic-Football-results-from-1888-to-2019", "version": 1, "version_label": "v1.0", "description": "Context\nI have gathered this dataset over the course of 8 years and put a lot of effort in\nit (see soccerverse.com). If you use the data for any kind of project, please drop me a line\nor ping me on twitter.\nContent\nThe dataset contains results of 1,078,214 football games in 207 top-tier domestic leagues and \n20 international tournaments (UEFA EuroLeague\/ChampionsLeague,etc.) from 1888-2019\n\n\n\nvariable\ndescription\n\n\n\n\nhome\nhome team name (not necessarily unique)\n\n\naway\naway team name (not necessarily unique)\n\n\ndate\ndate of match\n\n\ngh\ngoals for home team (including extra time and penalties)\n\n\nga\ngoals for away team (including extra time and penalties)\n\n\nfull_time\n\"F\"=game ended in 90', \"E\"=extra time, \"P\"=penalty shoot-out\n\n\ncompetition\ncountry name of league or name of international competition\n\n\nhome_ident\nunique identifier of home team\n\n\naway_ident\nunique identifier of away team\n\n\nhome_country\ncountry of home team\n\n\naway_country\ncountry of away team\n\n\nhome_code\ncountry code of home team\n\n\naway_code\ncountry code of away team\n\n\nhome_continent\ncontinent of home team\n\n\naway_continent\ncontinent of away team\n\n\ncontinent\ncontinent of competition\n\n\nlevel\n\"national\"= domestic league, \"international\"= international cup", "format": "arff", "uploader": "Onur Yildirim", "uploader_id": 30126, "visibility": "public", "creator": null, "contributor": null, "date": "2022-03-23 13:44:39", "update_comment": null, "last_update": "2022-03-23 13:44:39", "licence": "CC0: Public Domain", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/22102355\/dataset", "default_target_attribute": null, "row_id_attribute": null, "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "Domestic-Football-results-from-1888-to-2019", "Context I have gathered this dataset over the course of 8 years and put a lot of effort in it (see soccerverse.com). If you use the data for any kind of project, please drop me a line or ping me on twitter. Content The dataset contains results of 1,078,214 football games in 207 top-tier domestic leagues and 20 international tournaments (UEFA EuroLeague\/ChampionsLeague,etc.) from 1888-2019 variable description home home team name (not necessarily unique) away away team name (not necessarily uniqu " ], "weight": 5 }, "qualities": { "NumberOfInstances": 1078214, "NumberOfFeatures": 17, "NumberOfClasses": null, "NumberOfMissingValues": 4031, "NumberOfInstancesWithMissingValues": 2025, "NumberOfNumericFeatures": 2, "NumberOfSymbolicFeatures": 0, "Dimensionality": 1.576681438007668e-5, "PercentageOfNumericFeatures": 11.76470588235294, "MajorityClassPercentage": null, "PercentageOfSymbolicFeatures": 0, "MajorityClassSize": null, "MinorityClassPercentage": null, "MinorityClassSize": null, "NumberOfBinaryFeatures": 0, "PercentageOfBinaryFeatures": 0, "PercentageOfInstancesWithMissingValues": 0.18781058305679577, "AutoCorrelation": null, "PercentageOfMissingValues": 0.021991705455394157 }, "tags": [ { "uploader": "38960", "tag": "Computer Systems" }, { "uploader": "38960", "tag": "Machine Learning" } ], "features": [ { "name": "home", "index": "0", "type": "string", "distinct": "7429", "missing": "0" }, { "name": "away", "index": "1", "type": "string", "distinct": "7447", "missing": "0" }, { "name": "date", "index": "2", "type": "string", "distinct": "30312", "missing": "0" }, { "name": "gh", "index": "3", "type": "numeric", "distinct": "24", "missing": "0", "min": "0", "max": "25", "mean": "2", "stdev": "1" }, { "name": "ga", "index": "4", "type": "numeric", "distinct": "23", "missing": "0", "min": "0", "max": "24", "mean": "1", "stdev": "1" }, { "name": "full_time", "index": "5", "type": "string", "distinct": "4", "missing": "0" }, { "name": "competition", "index": "6", "type": "string", "distinct": "227", "missing": "0" }, { "name": "home_ident", "index": "7", "type": "string", "distinct": "7493", "missing": "0" }, { "name": "away_ident", "index": "8", "type": "string", "distinct": "7512", "missing": "0" }, { "name": "home_country", "index": "9", "type": "string", "distinct": "217", "missing": "0" }, { "name": "away_country", "index": "10", "type": "string", "distinct": "217", "missing": "0" }, { "name": "home_code", "index": "11", "type": "string", "distinct": "217", "missing": "2016" }, { "name": "away_code", "index": "12", "type": "string", "distinct": "217", "missing": "2015" }, { "name": "home_continent", "index": "13", "type": "string", "distinct": "6", "missing": "0" }, { "name": "away_continent", "index": "14", "type": "string", "distinct": "6", "missing": "0" }, { "name": "continent", "index": "15", "type": "string", "distinct": "7", "missing": "0" }, { "name": "level", "index": "16", "type": "string", "distinct": "2", "missing": "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 }