SPORTS AI GARAGE
Machine learning models applied to baseball analytics. Using Statcast bat tracking data, injury records, and advanced ML techniques to predict performance better than the industry standard.
pWOBA
Predicts next-season hitting performance using bat tracking metrics, plate discipline, and opponent quality. Outperforms MLB's xwOBA at year-to-year prediction.
.633
Correlation
+3.3%
vs MLB
468
Players
ElasticNetBat TrackingBarrel RateK%/BB%
INJURY IMPACT
Predicts how injuries affect player performance after returning from the IL. Models recovery curves by body region, injury type, and time missed — for both hitters and pitchers.
3,180
IL Stints
.845
Pitcher r
.671
Batter r
ElasticNetGBRBody RegionRecovery Curves
Watch on YouTube
@OnchainAIGarage — breakdowns, methodology, and results
Built with
PythonStatcastXGBoostLightGBMElasticNetscikit-learnpybaseballNext.js