Various applications to a more realistic baseball simulator

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
DOI: 10.1515/jqas-2012-0034
Published in: Journal of Quantitative Analysis in Sports
Published: 2013
Volume: 9
Issue: 3
Pages: 271-283
Document types: article
Language: English
Level: advanced