Optimizing automated ball-strike challenges in Major League Baseball: A win-probability Markov decision model
Working paper, 2026
Recommended citation: Li, S., Powers, S., & Schaefer, A. J. (2026). Optimizing automated ball-strike challenges in Major League Baseball: A win-probability Markov decision model. Working paper.
We develop a win-probability Markov decision model for optimizing automated ball-strike challenges in Major League Baseball.
