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  • Created over 9 years ago
  • Updated almost 2 years ago

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Repository Details

A collection of awesome football (national teams, clubs, match schedules, players, stadiums, etc.) datasets

Awesome Series @ Planet Open Data

World (Countries, Cities, Codes, ...) • Football (Clubs, Players, Stadiums, ...) • SQLite (Tools, Books, Schemas, ...)

Football

A collection of awesome football (national teams, clubs, match schedules, players, stadiums, etc.) datasets

Contributions welcome. Anything missing? Send in a pull request. Thanks.

V2 - What's News in 2022?

jfjelstul/worldcup

The Fjelstul World Cup Database is a comprehensive database about the FIFA World Cup created by Joshua C. Fjelstul, Ph.D. that covers all 21 World Cup tournaments (1930-2018). An update with data on the 2022 World Cup in Qatar will be available soon. The database includes 27 datasets (approximately 1.1 million data points) that cover all aspects of the World Cup.

JaseZiv/worldfootballR

This package is designed to allow users to extract various world football results and player statistics from the following popular football (soccer) data sites:

Since the release of v0.5.3, the library now supports very rapid loading of pre-collected data through the use of load_ functions.

The data available for loading is stored in the worldfootballR_data repository. The repo can be found here.

dcaribou/transfermarkt-datasets

this project aims for three things:

  1. Acquire data from transfermarkt website using the trasfermarkt-scraper.
  2. Build a clean, public football (soccer) dataset using data in 1.
  3. Automatate 1 and 2 to keep these assets up to date and publicly available on some well-known data catalogs.

Checkout this dataset also in: Kaggle, data.world, streamlit, awesome-public-datasets

somdeep/Statball

Football (soccer) stats analyser from top 5 european leagues with data obtained from Fbref and Statsbomb.

Fbref : https://fbref.com/en/comps/Big5/Big-5-European-Leagues-Stats

Statsbomb : https://statsbomb.com/

probberechts/soccerdata

SoccerData is a collection of wrappers over soccer data from Club Elo, ESPN, FBref, FiveThirtyEight, Football-Data.co.uk, SoFIFA and WhoScored_. You get Pandas DataFrames with sensible, matching column names and identifiers across datasets. Data is downloaded when needed and cached locally.

To learn how to install, configure and use SoccerData, see the Quickstart guide <https://soccerdata.readthedocs.io/en/latest/usage.html>. For documentation on each of the supported data sources, see the example notebooks <https://soccerdata.readthedocs.io/en/latest/datasources/> and API reference <https://soccerdata.readthedocs.io/en/latest/reference/>__.

V1 - Before 2022

Note: :octocat: stands for the GitHub page and 💎 stands for the RubyGems page.

Football Data Guides / Articles

Where's the open football data?

Football Datasets

World Cup

England

  • engsoccerdata :octocat: - all top 4 tier football matches in England 1888-2014; collected by James Curley

Misc

Stadium Datasets

Football Apps

Open source apps for match scores, picks, predictions, office pools, and more

Meta

License

The awesome list is dedicated to the public domain. Use it as you please with no restrictions whatsoever.

Questions? Comments?

Send them along to the Open Sports & Friends Forum/Mailing List. Thanks!

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