Dimundo Francesco, Cole Matthew, Blagrove Richard C, Till Kevin, Kelly Adam L
Research Centre for Life and Sport Sciences (CLaSS), Department of Sport and Exercise, School of Health Sciences, Birmingham City University, Birmingham B15 3TN, UK.
Worcester Warriors Rugby Football Club, Sixways Stadium, Worcester WR3 8ZE, UK.
Sports (Basel). 2022 Jan 18;10(2):13. doi: 10.3390/sports10020013.
(1) Background: The progression of youth rugby union (RU) players towards senior professional levels can be the result of various different constraints. The aim of this study was to examine characteristics that differentiated playing positions and player rankings in an English Premiership RU academy. (2) Methods: Thirty players (mean age = 18.5 ± 2.8 years) were divided by playing positions (forwards = 18, backs = 12) and ranked (one to thirty) by coaches based on their potential to achieve senior professional status. Players were analysed across 32 characteristics from eight overreaching factors based on task, environmental, and performer constraints. MANOVA and ANOVA were used to calculate differences among variables in players' positions (i.e., forwards vs. backs) and ranks (i.e., top 10 vs. bottom 10), with a Welch's -test applied to identify individual differences amongst groups and effect sizes calculated. (3) Results: Large effect sizes were found between groups for socioeconomic, sport activity, anthropometric, physical, and psychological factors. Moreover, environmental and performer constraints differentiated playing positions, whereas task and environmental constraints discriminated player ranks. (4) Conclusion: Present findings showed that playing positions and player ranks can be distinguished according to specific constraints.
(1) 背景:青年橄榄球联盟(RU)球员向高级职业水平的发展可能是多种不同限制因素导致的结果。本研究的目的是调查在英格兰超级橄榄球联盟学院中区分比赛位置和球员排名的特征。(2) 方法:30名球员(平均年龄 = 18.5 ± 2.8岁)按比赛位置(前锋 = 18人,后卫 = 12人)划分,并由教练根据他们获得高级职业地位的潜力进行排名(1至30名)。基于任务、环境和运动员限制因素,从八个总体因素的32个特征对球员进行分析。采用多变量方差分析(MANOVA)和方差分析(ANOVA)来计算球员位置(即前锋与后卫)和排名(即前10名与后10名)变量之间的差异,应用韦尔奇检验来识别组间个体差异并计算效应量。(3) 结果:在社会经济、体育活动、人体测量、身体和心理因素方面,组间发现了较大的效应量。此外,环境和运动员限制因素区分了比赛位置,而任务和环境限制因素区分了球员排名。(4) 结论:目前的研究结果表明,比赛位置和球员排名可以根据特定限制因素进行区分。