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Awesome Series @ Planet Open Data

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

Awesome Football (Open Datasets & Open Source Apps)

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

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

V3 - What's News in 2026?

World Cup 2026

  • Onside World Cup 2026 model outputs - model predictions (open data); per-match win/draw probabilities, champion odds (10,000-run Monte Carlo simulation) and the full 104-match schedule as CC BY 4.0 CSVs, refreshed through the tournament; includes a public graded accuracy record and a Kaggle mirror

  • uanalyse World Cup 2026 predictions - daily, timestamped forecasts published before kickoff; per-match win/draw/loss probabilities and expected goals, plus tournament probabilities (reach each stage, champion) from a 10,000-run Monte Carlo group stage with the knockout bracket solved exactly by dynamic programming (computed, not sampled). Append-only, signed CC BY 4.0 CSVs, refreshed daily through the tournament, with a live interactive portal. Widely used: 300+ repo clones in two weeks, plus independent bracket and Kicktipp projects building on it.

  • World Cup AI Forecast - multilingual World Cup 2026 forecast and analysis dashboard with match win probabilities, score predictions, group standings, lineup notes, completed-match backtesting, transparent methodology and data-source notes. Entertainment-only informational analytics.

  • FootyTips World Cup backtest - reproducible backtest of an open Elo + Poisson (Dixon-Coles) model across all 22 World Cups (1930-2022, 964 matches): 56.6% win/draw/loss hit rate, replayed walk-forward from the CC0 martj42 dataset with no future data. ~250 lines, zero dependencies, npm run backtest reproduces the numbers; live 2026 picks settled publicly after each match, including the misses.

  • World Cup 2026 Tour schedule dataset - all 104 fixtures with UTC kickoff times, match pages, CSV/JSONL snapshots, a free local-time JSON API, OpenAPI spec, ICS calendar feed, and Hugging Face / Kaggle mirrors.

  • World Cup 2026 Player Data - all 48 squads (1363 players) with per-90 stats and AI player similarity examples. CC BY 4.0.

  • WC2026 Live Tracker - Live scores, goals & cards by minute, group standings, knockout bracket and player stats for all 104 matches. Single HTML file, no dependencies, auto-updates via ESPN API.

  • lefProg/claudial - a small fun project that lets you see live updates for the 2026 World Cup right in your Claude Code status line.

  • TopScorers World Cup 2026 - live top scorers, assists and the Golden Boot race for the 2026 World Cup, plus group standings, results and the full 104-match schedule. Bilingual (EN/ES), free, no signup.

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 as you please with no restrictions whatsoever.

Questions? Comments?

Yes, you can. More than welcome. See Help & Support »

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

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