# hudl/open-data

Free football data from StatsBomb

Repository: https://github.com/hudl/open-data
Canonical: https://ross.abutalabs.com/products/open-data
Homepage: https://statsbomb.com/resource-centre/
License: NOASSERTION
License Family: other
Topics: football, football-data, soccer, open-data, sports-stats, sports-data
Last push: 2026-05-26T15:06:04+00:00

## Health v2 (maintenance only)
Score: 70/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 84, release rhythm 35, longevity 100
- inputs: {"age_days": 3011, "days_push": 99, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3557, forks 978 (observed 2026-08-28T04:08:09.659968+00:00)

## What it is
A free, openly licensed dataset of football (soccer) event data from StatsBomb, provided as JSON files covering competitions, matches, lineups, events, and StatsBomb 360 data. It is intended to support football analytics research and community education.

## Use cases
- analyze football match event data for research
- build expected goals (xG) models
- learn football analytics with real data
- visualize soccer match events and player positions
- run sports data science projects on open soccer data
- teach sports analytics courses

## When to choose
- you need free, high-quality soccer event data for research or learning
- you want to prototype football analytics models without paying for an API
- you need match lineups, events, and 360 freeze-frame data in JSON

## When to avoid
- you need commercial-grade coverage of all leagues and seasons
- you require a live data API or real-time feeds
- you need guaranteed licensing terms beyond attribution requirements

## Facets
- artifact type: dataset
- maturity: active
- function: data-science, analytics, json
- domain: sports, data-science, analytics
- platform: cross-platform
- tags: football, soccer, event-data, open-data, statsbomb, sports-analytics, football-analytics, xg

## Member repositories
- hudl/open-data (main) score 70

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:09.659968+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 2026-08-29T18:34:15.742169+00:00, confidence not recorded.
  - readme: https://github.com/hudl/open-data (fetched 2026-08-28T04:08:09.659968+00:00, sha 98a757466c4d)
  - homepage: https://statsbomb.com/resource-centre/ (fetched 2026-08-29T09:28:36.240698+00:00, sha 90ca1a924fb0)
  - site_page: https://www.hudl.com/en_gb/about (fetched 2026-08-29T09:28:36.247111+00:00, sha 25c4ebac8de7)
  - site_page: https://www.hudl.com/about/events (fetched 2026-08-29T09:28:36.248723+00:00, sha 295866199192)
  - site_page: https://www.hudl.com/en_gb/products/statsbomb/faq (fetched 2026-08-29T09:28:36.243337+00:00, sha 191fae588b49)
  - site_page: https://www.hudl.com/releases (fetched 2026-08-29T09:28:36.245323+00:00, sha d770789dc18a)
- Data as of 2026-08-30T08:39:29.467469+00:00.
