Researcher ORCID Identifier
https://orcid.org/0000-0002-0223-1019
Graduation Year
2021
Date of Submission
5-2021
Document Type
Campus Only Senior Thesis
Degree Name
Bachelor of Arts
Department
Mathematics
Reader 1
Dr. Sarah Cannon
Rights Information
2021 Brandon T Mitchell
Abstract
Baseball is one of the most statistically analyzed sports, simply due to the substantial amount of data that is tracked and recorded. In recent years, researchers have been combining technology and math to aid in development of players, such as bat path tracking and pitch recognition, among others. Without the need for specialized equipment and the availability of public data, we can build an intersection of baseball and mathematics. We construct a Markov chain model and build a baseball game simulation based on that model in order to find a new way to maximize our team's ability. Using random walks and Markov chains, we construct a are able to build the best lineup possible to maximize the average number of runs per game.
Recommended Citation
Mitchell, Brandon, "Modeling Baseball as a Markov Chain to Optimize Average Runs Per Game" (2021). CMC Senior Theses. 2722.
https://scholarship.claremont.edu/cmc_theses/2722
This thesis is restricted to the Claremont Colleges current faculty, students, and staff.
