probberechts/soccerdata
⛏⚽ Scrape soccer data from Club Elo, ESPN, FBref, Football-Data.co.uk, Sofascore, SoFIFA, Understat and WhoScored. observed · 2026-08-28
Health v2 · maintenance only
93/100
- Activity 98
- Release rhythm 82
- Longevity 100
Flags: no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: 45.5
- age_days: 1672
- days_rel: 40
- days_push: 12
- n_releases_24m: 7
Adoption not part of the score
2040 stars · 311 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A Python library of scrapers that collect soccer data from popular websites like FBref, ESPN, WhoScored, Sofascore, SoFIFA, Understat, Club Elo, and Football-Data.co.uk. It returns data as Pandas DataFrames with consistent column names and identifiers across sources, with local caching of downloaded data.
Use cases
- scrape soccer match and player stats from fbref
- get football data into pandas dataframes
- collect soccer analytics data from whoscored or sofascore
- download historical soccer results and schedules
- analyze premier league player season statistics
- fetch elo ratings for football clubs
- build a soccer prediction model with scraped data
When to choose
- you need structured soccer data from multiple websites in a unified pandas format
- you want a maintained Python library instead of writing your own scrapers
- you're doing soccer analytics or modeling research in Python
When to avoid
- you need real-time live match feeds or official licensed data
- you work outside Python or don't use pandas
- your target website isn't among the supported sources
- scraping is disallowed by a site's terms of service for your use case
Facets
library · maturity active
web-scraping data-science etl sports data-science analytics crawlers python cli soccer football sports-data pandas fbref espn whoscored sofascore sofifa understat club-elo football-data soccer-analytics
2 sources
- readme: https://github.com/probberechts/soccerdata · fetched 2026-08-28 · 3b74bf183ea6
- registry_pypi: https://pypi.org/pypi/soccerdata/json · fetched 2026-08-29 · 1b5e3b6db434
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| probberechts/soccerdata | main | 93 |
For agents
markdown · JSON · MCP: product_card(name="probberechts/soccerdata")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem