Document Type
Article
Publication Date
1-1-2015
Publication Title
Journal of Quantitative Analysis in Sports
Publication Title
Journal of Quantitative Analysis in Sports
Volume
11
Issue
2
Abstract
Within sports analytics, there is substantial interest in comprehensive statistics intended to capture overall player performance. In baseball, one such measure is wins above replacement (WAR), which aggregates the contributions of a player in each facet of the game: hitting, pitching, baserunning, and fielding. However, current versions of WAR depend upon proprietary data, ad hoc methodology, and opaque calculations. We propose a competitive aggregate measure, openWAR, that is based on public data, a methodology with greater rigor and transparency, and a principled standard for the nebulous concept of a "replacement" player. Finally, we use simulation-based techniques to provide interval estimates for our openWAR measure that are easily portable to other domains.
First Page
69
Last Page
84
Recommended Citation
Baumer, Benjamin S.; Jensen, Shane T.; and Matthews, Gregory J., "OpenWAR: An Open Source System for Evaluating Overall Player Performance in Major League Baseball" (2015). Statistical and Data Sciences: Faculty Publications, Smith College, Northampton, MA.
https://scholarworks.smith.edu/sds_facpubs/37
Digital Object Identifier (DOI)
10.1515/jqas-2014-0098
Comments
Peer reviewed accepted manuscript.