Analysing time pressure in professional tennis

IF 2 Q4 HOSPITALITY, LEISURE, SPORT & TOURISM
Miha Mlakar, S. Kovalchik
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引用次数: 1

Abstract

. Taking advantage of space and time is a major focus of tennis coaching yet few statistical measures exist to evaluate a player’s spatio-temporal performance in matches. The present study proposed the time to net as a single metric capturing both space and time characteristics of the quality of a shot. Tracking data from 2017 Australian Open allowed a detailed investigation of the characteristics and predictive value of the time-to-net in 33,913 men’s and 19,195 women’s shots. For groundstroke shots, the majority of men’s and women’s shots have a time-to-net between 200 and 800ms. The expected time to net was found to vary significantly by gender, shot type, and where in a rally it occurred. We found considerable between-player differences in average time-to-net of groundstrokes when serving or receiving, indicating the potential for time-to-net to capture differences in playing style. Time-to-net increased prediction accuracy of point outcomes by 8 percentage points. These findings show that time to net is a simple spatio-temporal statistic that has descriptive and predictive value for performance analysis in tennis.
分析职业网球的时间压力
利用空间和时间是网球教练的主要关注点,但很少有统计指标来评估球员在比赛中的时空表现。本研究提出将净时间作为一个单一的指标,同时捕捉镜头质量的空间和时间特征。2017年澳大利亚网球公开赛的跟踪数据使我们能够详细调查33913次男子和19195次女子射门的进球时间特征和预测值。对于滚地球击球,大多数男子和女子的击球时间都在200到800米之间。研究发现,预期的进球时间因性别、射门类型以及反弹地点而异。我们发现,球员之间在发球或接球时平均触地得分的时间存在相当大的差异,这表明触地得分有可能捕捉到比赛风格的差异。时间到净将积分结果的预测精度提高了8个百分点。这些发现表明,上网时间是一个简单的时空统计数据,对网球成绩分析具有描述性和预测性价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
自引率
9.10%
发文量
16
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