modeling infrastructure
Normalized odds, resolved outcomes, and line movement history — pre-structured for machine learning pipelines, LLM context windows, and backtest engines. Plus free modeling tools to sharpen your edge.
Get Early Access →who it's for
model builder
R and Python client libraries, normalized odds feed, de-vig API, resolved outcomes for backtesting, and LLM-ready context exports.
sharp analyst
Closing line value tracking, steam move detection, reverse line movement data, and line history across all books from open to close.
data features
Full time-series odds data from open to close. Every tick, every book, timestamped. The raw material for CLV models and steam detection.
FanDuel, DraftKings, BetMGM, Caesars — every book in one consistent schema. Spreads, totals, moneylines, and props without custom parsers.
Every market resolved against final scores. Pair odds history with outcomes for training sets, backtests, and ROI calculation.
NBA, NFL, MLB, NHL, NCAAF, NCAAB — same schema, same endpoints. Expand your models across leagues without rewriting integrations.
Pre-structured context formats for Claude, GPT-4, Gemini, and local models. Feed odds data directly into LLM reasoning pipelines.
calculator tools
Remove the book's margin from any market. Get fair implied probabilities and no-vig odds in real time using Multiplicative, Additive, or Shin methods.
Open calculator →Measure your closing line value — the single most reliable predictor of long-term betting profitability.
Calculate optimal bet sizing using the Kelly formula. Supports fractional Kelly and multi-book edge inputs.
Compare hold percentages across sportsbooks and market types to understand where you're giving up the most edge.
learning resources
Why models beat gut feel, the core loop, key definitions, and foundational skills to build your first model.
How sportsbooks build their margin into odds — and how to measure it.
The most important metric for long-term betting success, explained.
American, decimal, and fractional odds — conversions and intuition.
Data pipeline, feature engineering, backtesting, and live deployment.
early access
API access, backtest engine, and LLM-ready exports. Join the waitlist for early access and priority onboarding.
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