Entry Date:
August 25, 2015

Baseball Game Simulator

Principal Investigator Anette Hosoi

Co-investigators Mathias Kolle , Gareth McKinley , Susan Brown , Kim B Blair , Amos Winter , Rohit Karnik

Project Website http://steam.mit.edu/?p=598


Using Monte Carlo simulation, Ia baseball game simulator was constructed in MATLAB. After verifying its accuracy to real-life MLB statistics, we simulated millions of baseball games to test the effects of different stolen base strategy to answer the question “When is stealing second base a beneficial move for the offense?”

In collaboration with the Houston Astros, I am analyzing the problem of pitch classification: Given nothing but velocities and movements, can I categorize each pitch a pitcher throws accurately to return correct average velocities and movements for each pitch type? While this data can be manually inputted by a spectator watching the game, an algorithm will provide a more efficient and economical way to classify pitch data.