"I'd walk through hell in a gasoline suit to play baseball." - Pete Rose (Charlie Hustle). Python scripts to pull MLB Gameday and stats data, build models, predict outcomes, make plays.
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Updated
Dec 17, 2017 - Python
"I'd walk through hell in a gasoline suit to play baseball." - Pete Rose (Charlie Hustle). Python scripts to pull MLB Gameday and stats data, build models, predict outcomes, make plays.
Exploration of possible approaches to create a DFS projection system.
Pybaseball Database: Using the Pybaseball Python Package to create a historical baseball database for any use.
V3.0 of my MLB Game Outcome Prediction Model
A python application to view baseball statistics and if the player is available in the provided Fantrax league. DISCLAIMER: This a personal project for education and research.
A novel baseball analytics project that measures how pivotal game moments (high WPA changes) impact player career trajectories. Uses Statcast data and machine learning to calculate MSS scores (-100 to +100) for both pitchers and batters, bridging statistical analysis with the human stories that define baseball careers.
Using the Pybaseball-database to create a Points based ranking dashboard
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