$ show openfootball/football.json
Repository of structured JSON datasets containing football match fixtures and results across major European leagues (English Premier League, Bundesliga, Serie A, La Liga, UEFA Champions League) spanning 2011-2027. Files are auto-generated from upstream Football.TXT text sources via a GitHub Actions workflow that refreshes data daily. Each league/season file follows a consistent schema: a top-level object with league metadata and a `matches` array containing per-match objects with round, date, teams, and score objects (half-time, full-time, optionally extra time and penalties). The repository is purely a data source - no application code, scripts, tests, or configuration beyond the JSON files. Raw GitHub links serve as a free public API for web applications, mobile apps, prediction models, or analytics pipelines. The data is clean and machine-readable but lacks schema validation, versioning, and formal documentation. Known issues include schema drift across seasons (missing half-time scores, awarded matches with `status: 'awarded'`, team name variations) that downstream consumers must handle defensively. The primary value is the breadth and consistency of match data across 15+ leagues and 15+ seasons, making it suitable for football statistics applications, prediction models, or league visualization tools. The auto-update pipeline keeps current seasons fresh, but upstream Football.TXT sources may not be maintained for older seasons, and the lack of schema enforcement risks silent data drift. This is a data_research repository - a data source rather than an application - with no executable code or processing pipeline present.
The LLM identified 2 files worth highlighting for reuse:
The core data asset: a consistent JSON structure with league metadata and a matches array. Each match includes round, date, teams, and score objects (ht/ft/et/p). This schema is repeated across all leagues and seasons, making it a de facto standard for football match data that could be parsed by any consuming application. The pattern is reusable as an ingestion target for football analytics tools, though consumers must handle missing fields and status variations defensively.
The score representation pattern - separate half-time, full-time, extra-time, and penalty scores as nested objects - is a clean, extensible data model for representing match results. This pattern could be extracted and applied to any sports data schema. However, it is not universally applied (some matches lack ht, some have status 'awarded'), so consumers need defensive parsing.