The serve impact in tennis: First large-scale study of big Hawk-Eye data

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• 作者：Sami Mecheri ; Franç ; ois Rioult ; Bruno Mantel ; Franç ; ois Kauffmann and Nicolas Benguigui
• 刊名：Statistical Analysis and Data Mining
• 出版年：2016
• 出版时间：October 2016
• 年：2016
• 卷：9
• 期：5
• 页码：310-325
• 全文大小：1387K
• ISSN：1932-1872

文摘

Analysis of dual sports performance typically involves observational techniques to gather data samples during actual competition. These techniques are limited by the amount of data that can be collected and the need to define the observable variables in advance. Today's advanced technologies have considerably overcome these limitations, enabling high-volume data collection for post-recording analysis. The present study was based on the three-dimensional kinematic data recorded by the automated ball-tracking Hawk-Eye system between the 2003 and 2008 seasons in elite tennis tournaments, which provided a database of 262 596 points. The analysis consisted of an examination of the relationships between the various characteristics of the serve summed up by the resulting ball trajectory and winning-point probabilities. The influence of factors such as serve speed, serve location, court surface, gender differences, and spin intensity on the winning-point rate was assessed to gain insight into efficient serve tendencies in world-class tennis. The implications for practitioners are highlighted and directions for future research in tennis performance analysis based on automatic ball tracking are proposed.