EdgeCourt
Model-driven tennis projections that surface the edge on prediction-market contracts like total games or match winner, with backtested hit rates so traders can size positions.
Sports prediction market traders on Kalshi-style platforms
- ML-derived over/under probability for total games with confidence band
- Per-contract edge calculator comparing model probability vs market price
- Backtest dashboard showing model hit rate by surface, round, and odds bucket
- Watchlist alerts when a contract crosses your edge threshold
Kalshi and Robinhood event contracts for tennis match totals just went mainstream and the market is thin enough that disciplined models can find repeatable edges.
Kalshi tennis markets are genuinely liquid ($3k-$94k open interest per match, 1c spreads across full ATP/WTA tour per fault.bet), and paid tennis prediction products like Tennex, Tennis Brain, and TennisTrove already have paying subscribers, confirming real demand.Tennis Prediction Signals on Kalshi: How fault.bet's Model Finds Value ↗Pricing — Tennex ↗
Market is already crowded with near-identical offerings: fault.bet literally sells Kalshi tennis prediction signals built on 1.8M matches, plus Tennex ($89.99/mo prediction engine with edge calcs), Tennis Brain, TennisTrove, Predixsport, Statsmatics, and Bet Angel tennis trader.Tennis Prediction Signals on Kalshi: How fault.bet's Model Finds Value ↗Tennis Brain | Finding value in the world of professional tennis ↗Pricing — Tennex ↗Tennis Model — Live Tennis Pricing Tool by Statsmatics ↗
Clear willingness to pay — Tennex charges $89.99/month or $599.99/year, Tennis Brain has a low-cost subscription, and the trading audience is used to paying for models, but multiple competitors compress pricing power.Pricing — Tennex ↗Tennis Brain | Finding value in the world of professional tennis ↗
Kalshi is CFTC-regulated and growing; tennis offers year-round ATP/WTA coverage; prediction markets are expanding into US mainstream (Robinhood event contracts), suggesting a multi-year tailwind despite regulatory uncertainty for sports event contracts.Tennis Prediction Signals on Kalshi: How fault.bet's Model Finds Value ↗Tennis Total Games Odds & Predictions 2026 | Kalshi ↗
Non-trivial: requires multi-million-match historical dataset, surface-specific Elo/hyperparameters, ongoing backtesting infrastructure, and live data ingestion from Kalshi/Betfair; fault.bet alone trained on 1.8M matches with custom feature engineering (choke index, fatigue load, weather).Tennis Prediction Signals on Kalshi: How fault.bet's Model Finds Value ↗