The probability of winning break points in Grand Slam men's singles tennis

被引:20
|
作者
Knight, Gareth [1 ]
O'Donoghue, Peter [1 ]
机构
[1] Univ Wales Coll Cardiff, Inst Cardiff, Cardiff Sch Sport, Cardiff CF23 6XD, S Glam, Wales
关键词
Modelling; score; critical points;
D O I
10.1080/17461391.2011.577239
中图分类号
G8 [体育];
学科分类号
04 ; 0403 ;
摘要
The probability of winning games of tennis has been modelled in terms of the probability of the server winning an individual point. These models are based on the assumptions of stationarity of the point and interdependence. Stationarity is the assumption that the outcome of tennis points is not influenced by the game score at the beginning of the point. The purpose of the current investigation was to compare the outcomes of tennis points during break points and non-break points using data from 528 men's singles tennis matches from all four Grand Slam tournaments in 2008 and 2009. The retrospective probability of the receiver winning a point was 0.42 +/- 0.23 during break points which was significantly greater than the 0.38 +/- 0.10 during non-break points (P < 0.001). This, in turn, led to players creating significantly more break points than expected (P < 0.001) and breaking serve more frequently than expected (P < 0.001) for the points won when receiving serve. This is evidence that stationarity cannot be assumed and that models of winning tennis games may need to be enhanced to address improved receiver performance during break points.
引用
收藏
页码:462 / 468
页数:7
相关论文
共 33 条
  • [1] Break points in Grand Slam men's singles tennis
    O'Donoghue, Peter
    INTERNATIONAL JOURNAL OF PERFORMANCE ANALYSIS IN SPORT, 2012, 12 (01) : 156 - 165
  • [2] The most important points in Grand Slam singles tennis
    O'Donoghue, PG
    RESEARCH QUARTERLY FOR EXERCISE AND SPORT, 2001, 72 (02) : 125 - 131
  • [3] Match analysis and probability of winning a point in elite men's singles tennis
    Prieto-Lage, Ivan
    Parames-Gonzalez, Adrian
    Torres-Santos, Daniel
    Argibay-Gonzalez, Juan Carlos
    Reguera-Lopez-de-la-Osa, Xoana
    Gutierrez-Santiago, Alfonso
    PLOS ONE, 2023, 18 (09):
  • [4] Women's Singles Tennis Match Analysis and Probability of Winning a Point
    Gutierrez-Santiago, Alfonso
    Cidre-Fuentes, Pablo
    Orio-Garcia, Eduardo
    Silva-Pinto, Antonio Jose
    Reguera-Lopez-de-la-Osa, Xoana
    Prieto-Lage, Ivan
    APPLIED SCIENCES-BASEL, 2024, 14 (15):
  • [5] Winning in straight sets helps in Grand Slam tennis
    Goossens, Dries R.
    Kempeneers, Jurgen
    Koning, Ruud H.
    Spieksma, Frits C. R.
    INTERNATIONAL JOURNAL OF PERFORMANCE ANALYSIS IN SPORT, 2015, 15 (03) : 1007 - 1021
  • [6] Winning matches in Grand Slam men's singles: An analysis of player performance-related variables from 1991 to 2008
    Ma, Shang-Min
    Liu, Chao-Chin
    Tan, Yue
    Ma, Shang-Chun
    JOURNAL OF SPORTS SCIENCES, 2013, 31 (11) : 1147 - 1155
  • [7] Men's tennis singles winning factors T test based on mathematical analysis
    Liu, Yanguo
    BioTechnology: An Indian Journal, 2014, 10 (02) : 209 - 217
  • [8] The Winning Probability of a Game and the Importance of Points in Tennis Matches
    Sim, Min Kyu
    Choi, Dong Gu
    RESEARCH QUARTERLY FOR EXERCISE AND SPORT, 2020, 91 (03) : 361 - 372
  • [9] Momentum in US Open men's singles tennis
    Moss, Ben
    O'Donoghue, Peter
    INTERNATIONAL JOURNAL OF PERFORMANCE ANALYSIS IN SPORT, 2015, 15 (03) : 884 - 896
  • [10] The Justice of the Grand Slam Tennis Tournaments on the Basis of Draw, Competition Format System and Final Result: a Case Study of the US Open 2017 Men's Singles Tournament
    Zimanyi, Robert G.
    Geczi, Gabor
    PHYSICAL CULTURE AND SPORT STUDIES AND RESEARCH, 2019, 83 (01) : 26 - 38