Date of Completion
Spring 4-25-2024
Thesis Advisor(s)
Daniel Watt; Stephen Camilli
Honors Major
Mathematics/Actuarial Science
Disciplines
Data Science | Probability | Statistical Models | Statistical Theory
Abstract
The building of a tool to be utilized by UConn’s Division I baseball team that will generate a game plan for when different relievers should be used against different parts of the opponent’s lineup to achieve the lowest total expected value of runs allowed for the remainder of the game based on game situations and matchup probabilities. The tool will also examine and determine situations that may be vital enough to the outcome of the game to bring in a better reliever normally saved for later in the game.
Recommended Citation
Bartholomew, Jason, "UConn Baseball Reliever Lane Optimization Tool" (2024). Honors Scholar Theses. 1011.
https://digitalcommons.lib.uconn.edu/srhonors_theses/1011
Included in
Data Science Commons, Probability Commons, Statistical Models Commons, Statistical Theory Commons