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Baseball Research
2023-2025Baseball Modeling
Collection of baseball modeling experiments including pitch classification, Statcast analysis, and swing/miss severity tracking.
The Problem
Beyond the main prop prediction system, I explored various baseball modeling questions that didn't fit into the main pipeline.
Research Projects
- Pitch classification usingStatcast trackman data and XGBoost
- Swing severity analysis tracking where in the zone batters miss
- Batter/pitcher split modeling with rolling statistics
- Park factor calculations and adjustment methodologies
What I Learned
Baseball has incredibly rich data but modeling edge is hard to find. Most obvious signals are already priced into the market. The real edge comes from novel data sources or alternative modeling approaches.
Tech Stack
Pythonpandasscikit-learnStatcastXGBoost