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The analysis of serve decisions in tennis using Bayesian hierarchical models

Thesis type
(Project) M.Sc.
Date created
2021-07-07
Authors/Contributors
Author: Tea, Peter
Abstract
Anticipating an opponent's serve is a salient skill in tennis: a skill that undoubtedly requires hours of deliberate practice to properly hone. Awareness of one's own serve tendencies is equally as important, and helps maintain unpredictable serve patterns that keep the returner unbalanced. This project investigates intended serve direction with Bayesian hierarchical models applied on an extensive, and now publicly available data source of professional tennis players at Roland Garros.We find discernible differences between men's and women's tennis, and between individual players. General serve tendencies such as the preference serving towards the Body on second serve and on high pressure points are revealed.
Document
Identifier
etd21466
Copyright statement
Copyright is held by the author(s).
Permissions
This thesis may be printed or downloaded for non-commercial research and scholarly purposes.
Supervisor or Senior Supervisor
Thesis advisor: Swartz, Tim
Language
English
Download file Size
input_data\22380\etd21466.pdf 1.84 MB

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