Betting
machina-sports/sports-skills/skills/betting作者 machina-sports09eb7e8566f4MIT242 個星標收錄於 2026年10月8日更新於 2026年10月8日儲存庫3 天前更新
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 ESPN and a prediction market price and want to evaluate whether a bet has positive expected value. Don't use when: user asks for live odds or market data — use polymarket, kalshi, or the sport-specific skill to fetch odds first, then use this skill to analyze them.
- 09eb7e8566f4目前提交 09eb7e8發布於 2026年10月8日
來源與署名
來源：machina-sports/sports-skills位於skills/betting提交09eb7e8
授權條款： MIT
內容歸原作者所有。SourceWeft 從公開儲存庫中收錄這些內容。
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