Expected Value
3 Open-Source AI Sports Betting Projects to Watch
Three trending open-source AI sports betting projects on GitHub — BettingAI, DGFantasy Optimizer, and AIFootballPredictions — and what builders can learn from them.
Read → Layer 4 — IntelligenceBuild an OpenClaw EV Calculator Skill — Expected Value Analysis for Every Bet
Build a custom OpenClaw skill that calculates expected value for any bet. Complete SKILL.md with Python math, batch EV analysis, and +EV opportunity flagging for autonomous betting agents.
Read → Layer 4 — IntelligenceCorrelation Risk in Parlays and Multi-Leg Bets: When 'Independent' Events Aren't
The math of correlated parlays — why sportsbooks price legs as independent, how to measure correlation from historical data, and how agents exploit SGP mispricing for +EV multi-leg bets.
Read → Layer 4 — IntelligenceExpected Value (EV) for Prediction Market Agents: The Only Metric That Matters
Why expected value is the only correct objective function for autonomous betting agents. Formal EV derivation, EV per dollar risked, EV per unit of time, and Python implementation for agent decision pipelines.
Read → Layer 4 — IntelligenceSportsbook Odds Boosts: The Math, the Evidence, and Every Strategy Ranked
Complete mathematical breakdown of sportsbook odds boosts. Profit boost formulas, vig removal, bonus bet conversion, parlay math, Kelly sizing, and every strategy ranked by expected value.
Read → Layer 3 — TradingHow Prediction Market Odds Work: Probability, Pricing, and Finding an Edge
How prediction market odds and pricing work. Convert between probability, decimal odds, and American odds. Learn how to spot mispriced markets and why AI agents do it better.
Read →+EV Betting Bots: Finding Positive Expected Value Across Offshore Sportsbooks
Build a +EV betting bot that scans offshore sportsbook odds, identifies value against sharp benchmarks, and automates detection with Python.
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