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machina-sports

> machina-sports/sports-skills

📦 3 skills❤️ 0 likes53 github stars📥 3 downloadsgithub →
machina-sports

> betting

Betting analysis — odds conversion, de-vigging, edge detection, Kelly criterion, arbitrage detection, parlay analysis, and line movement. Pure computation, no API calls. Works with odds from any source: ESPN (American odds), Polymarket (decimal probabilities), Kalshi (integer probabilities). Use when: user asks about bet sizing, expected value, edge analysis, Kelly criterion, arbitrage, parlays, line movement, odds conversion, or comparing odds across sources. Also use when you have odds from E

machina-sports
machina-sports

> cbb-data

College Basketball (CBB) data via ESPN public endpoints — scores, standings, rosters, schedules, game summaries, play-by-play, win probability, rankings, futures, team/player stats, and news for NCAA Division I men's basketball. Zero config, no API keys. Use when: user asks about college basketball scores, March Madness, NCAA tournament, standings, rankings, team rosters, schedules, play-by-play, betting futures, team/player statistics, or CBB news. Don't use when: user asks about NBA/WNBA (use

machina-sports
machina-sports

> cfb-data

College Football (CFB) data via ESPN public endpoints — scores, standings, rosters, schedules, game summaries, play-by-play, rankings, injuries, futures, team/player stats, and news for NCAA Division I FBS. Zero config, no API keys. Use when: user asks about college football scores, standings, rankings, team rosters, schedules, game results, play-by-play, injuries, betting futures, team/player statistics, or CFB news. Don't use when: user asks about NFL (use nfl-data), college basketball (use c

machina-sports