职业网球运动员比赛制胜因素的模型构建与研究分析  

Model Construction and Research Analysis of Winning Factors of Professional Tennis Players in Competitions

作　　者：麻嘉才 陈庆国 梁彩荣 周子辰 Ma Jiacai;Chen Qingguo;Liang Cairong;Zhou Zichen(Jilin Normal University,Siping 136000,China)

机构地区：[1]吉林师范大学,吉林四平136000

出　　处：《体育科技文献通报》2023年第4期66-68,118,共4页Bulletin of Sport Science & Technology

摘　　要：为了探索职业网球男子运动员比赛的获胜因素,本文采用Logistic回归分析法,对2023年澳大利亚网球公开赛男子127场单打比赛的10项重要指标数据进行统计。以比赛“胜”“负”为因变量,各项基本情况数据为自变量,构建基于logistic回归的职业网球运动员制胜因素判断模型。研究结果:影响职业网球运动员比赛制胜因素的关键技术指标为二发得分率、非受迫性失误、破发得分率、接发球得分率这四项技术指标。启发:进一步提高二发得分率和破发得分率,减少非受迫性失误,提高接发球得分率,保证击球的稳定性。In order to explore the winning factors of professional male tennis players,this article uses the logistic regression analysis method to statistically analyze the 10 important data results of all men’s singles matches in the Australian Open in 2023,recording the data of a total of 127 matches.“Win”and“lose”in the competition are dependent variables,and the basic situation data are independent variables.A judgment model for winning factors of professional tennis players based on logistic regression is constructed.The research results show that the key technical indicators that affect the winning factors of professional tennis players in competition are four technical indicators:second serve score rate,non-forced error,break score rate,and return score rate.It is proposed to further improve the scoring rate of second serve and break serve,reduce unforced errors,improve the scoring rate of receiving serve,and ensure the stability of hitting balls.

关 键 词：职业运动员 制胜因素 模型构建 研究分析 

分 类 号：G845[文化科学—体育训练]