Saavedra Jose M, Þorgeirsson Sveinn, Chang Milan, Kristjánsdóttir Hafrún, García-Hermoso Antonio
Physical Activity, Physical Education, Sport and Health Research Centre (PAPESH), Sports Science Department, School of Science and Engineering, Reykjavik, Iceland.
The Icelandic Gerontological Research Center, Reykjavik, Iceland.
J Hum Kinet. 2018 Jun 13;62:221-229. doi: 10.1515/hukin-2017-0172. eCollection 2018 Jun.
Sports performance analysis has been a growing field of study in the last decade. However, the number of studies in handball is small. The aims of this present study were (i) to compare handball game-related statistics by the match outcome (winning and losing teams) and (ii) to identify characteristics that discriminated performance in elite women's handball. The game-related statistics of the 236 matches played in the last four Olympic Games (Athens, Greece, 2004; Beijing, China, 2008; London, United Kingdom, 2012; and Rio de Janeiro, Brazil, 2016) were analysed. Differences between match outcomes (winning or losing teams) were determined using the chi-squared statistic, also calculating the effect sizes of the differences. A discriminant analysis was then performed applying the sample-splitting method according to match outcomes. The results showed the differences between winning and losing teams were red cards and assists. Also, the discriminant analysis selected five variables (shots, goalkeeper-blocked shots, technical fouls, steals, and goalkeeper-blocked fast-break shots) that classified correctly 83% of matches. The selected variables included offensive and defensive predictors. Coaches and players can use these results as a reference against which to assess their performance and plan training.
在过去十年中,体育表现分析一直是一个不断发展的研究领域。然而,关于手球的研究数量较少。本研究的目的是:(i)按比赛结果(获胜队和失败队)比较与手球比赛相关的统计数据;(ii)确定区分精英女子手球运动员表现的特征。分析了在过去四届奥运会(2004年希腊雅典、2008年中国北京、2012年英国伦敦和2016年巴西里约热内卢)中进行的236场比赛的与比赛相关的统计数据。使用卡方统计量确定比赛结果(获胜队或失败队)之间的差异,并计算差异的效应大小。然后根据比赛结果采用样本拆分方法进行判别分析。结果表明,获胜队和失败队之间的差异在于红牌和助攻。此外,判别分析选择了五个变量(射门、守门员封堵射门、技术犯规、抢断和守门员封堵快攻射门),这些变量正确分类了83%的比赛。所选变量包括进攻和防守预测指标。教练和运动员可以将这些结果作为评估他们表现和规划训练的参考依据。