football-dataFootball (soccer) data across 13 leagues — standings, schedules, match stats, xG, transfers, player profiles. Zero config, no API keys. Covers Premier League...
Install via ClawdBot CLI:
clawdbot install antonelli182/football-dataGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/machina-sports/sports-skills.gitAudited Apr 17, 2026 · audit v1.0
Generated Mar 20, 2026
A sports news website or blog uses the skill to generate up-to-date league tables, match summaries, and player profiles for articles. Journalists can pull standings, schedules, and xG stats for the top 5 leagues to enrich match reports and analysis without manual data entry.
A fantasy Premier League app integrates the skill to fetch injury news, player statistics, and ownership data via FPL-specific commands. It helps users make informed lineup decisions by providing real-time player availability and performance metrics, enhancing user engagement.
A professional football club's analytics department uses the skill to access match statistics, xG data, and player profiles across leagues. Scouts can evaluate player performance and transfer values using Transfermarkt data, aiding in recruitment and tactical planning for top-tier competitions.
A data analytics firm leverages the skill to provide post-match analysis and historical performance data for football matches. While it doesn't offer live scores or betting odds, it supplies xG and match stats to inform predictive models and post-event reports for clients.
An educational app for football enthusiasts uses the skill to teach users about league structures, team histories, and player careers. It pulls data from all 13 leagues to create interactive lessons on standings, schedules, and player transfers, making learning engaging.
Offer a free tier with basic data access for all 13 leagues, such as standings and schedules, and charge for premium features like advanced xG analytics, player statistics, and Transfermarkt data. Revenue comes from subscription fees paid by media companies and analytics firms.
License the football data to large organizations like broadcasters, sports clubs, or betting companies. Provide customized data feeds with high-volume access to match stats, player profiles, and league information, generating revenue through annual licensing agreements.
Develop a branded analytics dashboard that clients can integrate into their own platforms, such as sports websites or mobile apps. Charge a setup fee and ongoing maintenance costs for access to real-time data visualizations, standings, and match insights.
💬 Integration Tip
Always use get_current_season() to derive season IDs dynamically, and avoid hardcoding years to ensure data accuracy across different leagues and calendars.
Scored Apr 19, 2026
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