Abstract Details
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Activity Number:
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327
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Type:
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Invited
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Date/Time:
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Tuesday, August 6, 2013 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistics in Sports
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| Abstract - #307208 |
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Title:
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Openwar: An Open Source System for Overall Player Performance in Major League Baseball
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Author(s):
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Benjamin S. Baumer*+ and Shane T. Jensen and Gregory Matthews
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Companies:
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Smith College and The Wharton School, University of Pennsylvania and University of Massachusetts
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Keywords:
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analytics ;
baseball ;
WAR ;
R ;
sports ;
simulation
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Abstract:
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Within baseball analytics, there is substantial interest in comprehensive statistics intended to capture overall player performance. 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, using public data, more rigorous methodology, and transparent calculations. We discuss a principled baseline compared to the nebulous concept of a "replacement" player. Finally, we use simulation-based techniques to provide variance estimates for our openWAR measure.
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Authors who are presenting talks have a * after their name.
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