Statistics Papers

Document Type

Journal Article

Date of this Version

6-2015

Publication Source

Journal of Quantitative Analysis in Sports

Volume

11

Issue

2

Start Page

1

Last Page

27

DOI

10.1515/jqas-2014-0098

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, openW AR, 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 openW AR measure that are easily portable to other domains.

Keywords

baseball, statistical modeling, simulation, R, reproducibility

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Date Posted: 27 November 2017

This document has been peer reviewed.