# probberechts/soccerdata

⛏⚽ Scrape soccer data from Club Elo, ESPN, FBref, Football-Data.co.uk, Sofascore, SoFIFA, Understat and WhoScored.

Repository: https://github.com/probberechts/soccerdata
Canonical: https://ross.abutalabs.com/products/soccerdata
Homepage: https://soccerdata.readthedocs.io/en/latest/
Language: Python
License: NOASSERTION
License Family: other
Topics: soccer, soccer-analytics, sports-data, soccer-data, elo-rating, espn, fbref, fivethirtyeight, sofifa, whoscored, understat, sofascore
Last push: 2026-08-21T09:35:20+00:00

## Health v2 (maintenance only)
Score: 93/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 98, release rhythm 82, longevity 100
- inputs: {"age_days": 1672, "days_push": 12, "days_rel": 40, "gap_med": 45.5, "n_releases_24m": 7}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2040, forks 311 (observed 2026-08-28T04:06:08.325024+00:00)

## What it is
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
- artifact type: library
- maturity: active
- function: web-scraping, data-science, etl
- domain: sports, data-science, analytics, crawlers
- platform: python, cli
- tags: soccer, football, sports-data, pandas, fbref, espn, whoscored, sofascore, sofifa, understat, club-elo, football-data, soccer-analytics

## Member repositories
- probberechts/soccerdata (main) score 93

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:08.325024+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:58:22.344390+00:00, confidence not recorded.
  - readme: https://github.com/probberechts/soccerdata (fetched 2026-08-28T04:06:08.325024+00:00, sha 3b74bf183ea6)
  - registry_pypi: https://pypi.org/pypi/soccerdata/json (fetched 2026-08-29T10:39:09.147515+00:00, sha 1b5e3b6db434)
- Data as of 2026-08-30T08:39:29.467469+00:00.