Team 65
Team Members |
Faculty Advisor |
Christian Rocha |
Benjamin Fuller Sponsor Unsponsored Student Team |
sponsored by
Sponsor Image Not Available
At-Bat Simulator
A machine learning application that simulates MLB at-bats pitch by pitch using Statcast data from 2021-2024. The system chains together multiple deep learning models like pitch type, pitch location, swing/take, contact outcome, and exit velocity. As well as, takes into account the game situation inputted by the user to produce a realistic MLB at-bat between the selected pitcher and batter.