Advanced putting metrics in golf

Yousefi Kasra and Swartz Tim B. ()
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Yousefi Kasra: Simon Fraser University, Department of Statistics and Actuarial Science, Burnaby, British Columbia, Canada Kasra Yousefi is an MSc graduate and Tim Swartz is Professor in the Department of Statistics and Actuarial Science, Simon Fraser University, 8888 University Drive, Burnaby BC, Canada V5A1S6. Swartz has been partially supported by grants from the Natural Sciences and Engineering Research Council of Canada (NSERC). The authors thank two anonymous reviewers and the Editor whose comments have helped improve the manuscript.
Swartz Tim B.: Simon Fraser University, Department of Statistics and Actuarial Science, Burnaby, British Columbia, Canada Kasra Yousefi is an MSc graduate and Tim Swartz is Professor in the Department of Statistics and Actuarial Science, Simon Fraser University, 8888 University Drive, Burnaby BC, Canada V5A1S6. Swartz has been partially supported by grants from the Natural Sciences and Engineering Research Council of Canada (NSERC). The authors thank two anonymous reviewers and the Editor whose comments have helped improve the manuscript.

Journal of Quantitative Analysis in Sports, 2013, vol. 9, issue 3, 239-248

Abstract: Using ShotLink data that records information on every stroke taken on the PGA Tour, this paper introduces a new metric to assess putting. The methodology is based on ideas from spatial statistics where a spatial map of each green is constructed. The spatial map provides estimates of the expected number of putts from various green locations. The difficulty of a putt is a function of both its distance to the hole and its direction. A golfer’s actual performance can then be assessed against the expected number of putts.

Keywords: Bayesian spatial statistics; Professional Golfers’ Association; ShotLink data; sports analytics; subjective priors; truncated Poisson (search for similar items in EconPapers)
Date: 2013
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DOI: 10.1515/jqas-2013-0010

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