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Activity Number:
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154
- Sports Analysis: New Insights
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Type:
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Topic Contributed
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Date/Time:
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Monday, July 30, 2018 : 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 #329366
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Presentation
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Title:
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Degree of Weak and Strong Links in Pickleball Doubles Games
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Author(s):
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Paramjit Gill* and Tim Swartz
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Companies:
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University of British Columbia Okanagan and Simon Fraser University
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Keywords:
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Bayesian analysis;
Pickleball;
Regularized regression;
WinBUGS
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Abstract:
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The sport of pickleball is the fastest growing sport in North America. It is a fun sport that combines many elements of tennis, badminton and ping-pong. Pickleball is played both indoors or outdoors on a badminton-sized court and a slightly modified tennis net. It is played with a paddle and a plastic ball with holes . Pickleball is played either as doubles (two players per team) or singles; doubles is most common. We propose a model that characterizes the degree to which a doubles sport is a weak or a strong link game. The model is based on player-specific ability parameters. As a by product of the model analysis, individual players' ability parameters may be estimated and used to rank the players. We apply the model to data from hundreds of doubles games played at the Pickleball Kelowna Club during the summer of 2017.
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Authors who are presenting talks have a * after their name.
