Baseball Analytics applications

Hi Baseball Fans and Data Junkies:

The capstone project for our master’s in applied data science from the University of Michigan
was an sport analytics project. It includes a set of player and team exploration tools including hall of fame prediction and very cool machine learning tool to predict pitch outcomes. Users can set game games conditions, batters, pitchers, and umpires to answer the question “what if I pitched here”.

Some pitch prediction work has been done on predicting types of pitches thrown next, but we were looking for new ways to analyze the game and believe we have a first of its kind tool.

It gave us quite a crash course in Streamlit and hosting on Heroku, but the visualizations turned out very well and other tools seem like a longer learning curve.

Hope you enjoy:

  • Ryan
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