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Advanced putting metrics in golf

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Listed:
  • Yousefi Kasra
  • Swartz Tim B.

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.

Suggested Citation

  • Yousefi Kasra & Swartz Tim B., 2013. "Advanced putting metrics in golf," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 9(3), pages 239-248, September.
    • Handle: RePEc:bpj:jqsprt:v:9:y:2013:i:3:p:239-248:n:4
    DOI: 10.1515/jqas-2013-0010
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    References listed on IDEAS

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    1. Fearing Douglas & Acimovic Jason & Graves Stephen C, 2011. "How to Catch a Tiger: Understanding Putting Performance on the PGA TOUR," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 7(1), pages 1-47, January.
    2. Julian Besag & Jeremy York & Annie Mollié, 1991. "Bayesian image restoration, with two applications in spatial statistics," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 43(1), pages 1-20, March.
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