{"id":30540532,"url":"https://github.com/skagr/footballdata","last_synced_at":"2025-08-27T22:09:00.633Z","repository":{"id":57431858,"uuid":"94557098","full_name":"skagr/footballdata","owner":"skagr","description":"A collection of wrappers over football data from various websites / APIs.","archived":false,"fork":false,"pushed_at":"2018-06-14T16:29:22.000Z","size":4888,"stargazers_count":37,"open_issues_count":6,"forks_count":7,"subscribers_count":6,"default_branch":"master","last_synced_at":"2025-07-15T07:33:30.780Z","etag":null,"topics":["data-science","dataset","football","pandas","python","soccer"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/skagr.png","metadata":{"files":{"readme":"README.rst","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2017-06-16T15:26:09.000Z","updated_at":"2025-07-10T15:04:11.000Z","dependencies_parsed_at":"2022-08-28T23:02:04.744Z","dependency_job_id":null,"html_url":"https://github.com/skagr/footballdata","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/skagr/footballdata","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/skagr%2Ffootballdata","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/skagr%2Ffootballdata/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/skagr%2Ffootballdata/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/skagr%2Ffootballdata/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/skagr","download_url":"https://codeload.github.com/skagr/footballdata/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/skagr%2Ffootballdata/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":272221814,"owners_count":24894572,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-08-26T02:00:07.904Z","response_time":60,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["data-science","dataset","football","pandas","python","soccer"],"created_at":"2025-08-27T22:02:19.462Z","updated_at":"2025-08-27T22:09:00.593Z","avatar_url":"https://github.com/skagr.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"Football Data\n=============\n\n.. image:: https://img.shields.io/pypi/v/footballdata.svg\n    :target: https://pypi.python.org/pypi/footballdata\n    :alt: Latest PyPI version\n\n.. image:: https://travis-ci.org/skagr/footballdata.png\n   :target: https://travis-ci.org/skagr/footballdata\n   :alt: Latest Travis CI build status\n\n\nA collection of wrappers over football [*]_ data from various websites / APIs. You get: Pandas dataframes with sensible, matching column names and identifiers across datasets. Data is downloaded when needed and cached locally. Example Jupyter Notebooks are in the Github repo.\n\n.. [*] Soccer, if you're a heathen\n\nData sources:\n-------------\n\nfivethirtyeight.com\n~~~~~~~~~~~~~~~~~~~\n(https://projects.fivethirtyeight.com/soccer-predictions)\n\nSeason 2016-17 predictions and results for the top European and American leagues.\n\n* Data no longer available on fivethirtyeight.com, I've `added it to the repository \u003chttps://github.com/skagr/footballdata/tree/master/data\u003e`_\n\nfootball-data.co.uk\n~~~~~~~~~~~~~~~~~~~\n(http://www.football-data.co.uk/)\n\nHistorical results, betting odds and match statistics for English, Scottish, German, Italian, Spanish, French, Dutch, Belgian, Portuguese, Turkish and Greek leagues, including a number of lower divisions. Level of detail depends on league.\n\nclubelo.com\n~~~~~~~~~~~\n(http://clubelo.com)\n\nFirst team relative strengths, for all (?) European leagues. Recalculated after every round, includes history.\n\nRoadmap:\n--------\n\nAdd player stats, transfers, injuries and suspensions.\n\n\nInstallation\n------------\n\n.. code:: bash\n\n    $ pip install footballdata\n\nDependencies\n~~~~~~~~~~~~\n\n- `Numpy \u003chttp://www.numpy.org/\u003e`_\n- `Pandas \u003chttp://pandas.pydata.org/\u003e`_\n- `Requests \u003chttp://docs.python-requests.org/en/master/\u003e`_\n- `Unidecode \u003chttps://pypi.python.org/pypi/Unidecode\u003e`_\n\nUsage\n-----\n\n.. code:: python\n\n    import footballdata as foo\n\n    # Create class instances\n    five38 = foo.FiveThirtyEight()\n    elo = foo.ClubElo()\n    mhist = foo.MatchHistory('ENG-Premier League', '2016-17')\n\n    # Create dataframes\n    matches = five38.read_games()\n    forecasts = five38.forecasts()\n    current_elo = elo.read_by_date()\n    team_elo_history = elo.read_team_history('Barcelona')\n    epl_2016 = mhist.read_games()\n\nSee the Jupyter Notebooks here for more elaborate examples: https://github.com/skagr/footballdata/tree/master/notebooks\n\nCompatibility\n-------------\n\nTested against Python 2.7 and 3.4-3.6\n\nLicence\n-------\n\nMIT\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fskagr%2Ffootballdata","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fskagr%2Ffootballdata","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fskagr%2Ffootballdata/lists"}