Betting

Pure computation for betting math. Handles odds conversion, de-vigging, edge detection, Kelly criterion, arbitrage checks, and parlay analysis without making any API calls. You bring the odds from ESPN, Polymarket, Kalshi, or wherever, and it does the math. The workflow is smart: de-vig sportsbook lines first, then compare against prediction market prices to find edge. Works across American odds, decimal, and straight probabilities. Honestly useful if you're tired of doing the vig math by hand or want to quickly check if there's actual value in a bet. The line movement analysis is a nice touch for tracking sharp action.

install copies · 90 days. Times the install command was copied on this site in the last 90 days, bots filtered.: 11
skills.sh installs: 1.6K
GitHub stars: 268
last updated: Aug 21, 2026

View on GitHub

Install

$ npx -y skills add machina-sports/sports-skills --skill betting --agent claude-code

Installs into .claude/skills of the current project.

Files

Betting Analysis

Before writing queries, consult references/api-reference.md for odds formats, command parameters, and key concepts.

Quick Start

sports-skills betting convert_odds --odds=-150 --from_format=american
sports-skills betting devig --odds=-150,+130 --format=american
sports-skills betting find_edge --fair_prob=0.58 --market_prob=0.52
sports-skills betting evaluate_bet --book_odds=-150,+130 --market_prob=0.52
sports-skills betting find_arbitrage --market_probs=0.48,0.49
sports-skills betting parlay_analysis --legs=0.58,0.62,0.55 --parlay_odds=600
sports-skills betting line_movement --open_odds=-140 --close_odds=-160

Python SDK:

from sports_skills import betting

betting.convert_odds(odds=-150, from_format="american")
betting.devig(odds="-150,+130", format="american")
betting.find_edge(fair_prob=0.58, market_prob=0.52)
betting.find_arbitrage(market_probs="0.48,0.49")
betting.parlay_analysis(legs="0.58,0.62,0.55", parlay_odds=600)
betting.line_movement(open_odds=-140, close_odds=-160)