Batting Order Analysis in
Major League Baseball
The pupose of my project was to look into a less explored area of baseball analytics, by analyzing MLB batting lineups through simulations. This project specifically looked at the impact of moving the pitcher from the traditional 9th spot in the batting order, into the 8th spot, and it’s impact on run expectation. I used Monte Carlo Simulations and previous years data to simulate games and assess the expected runs for each team.
About AJ Eckmann
AJ graduated from Duke in 2020 with a double major in Statistical Science and Computer Science, with a certificate in Markets and Marketing and says, “The MSBA program really helped me tie in some of my analytical background into more business related problems and projects.”