team photo


Team 65

Team Members

Faculty Advisor

Christian Rocha
Ryan Powers
Owen Pestka

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.