This paper develops a simulator for matches in Major League Baseball (MLB). Aspects of the approach that are studied include the introduction of base-running probabilities which were obtained through a large data set, and the simulation of nine possible outcomes for each at-bat. Various applications to the simulator are investigated, such as the definition of a measure of the ability of a batter/pitcher, in-play strategy and the determination of the optimal batting order for a given team.
© Copyright 2013 Journal of Quantitative Analysis in Sports. de Gruyter. All rights reserved.
|Subjects:||baseball simulation competition investigation method technique tactics team individual|
|Notations:||technical and natural sciences sport games|
|Published in:||Journal of Quantitative Analysis in Sports|