评估欧冠足球运动员的技术表现。
Evaluation of the Technical Performance of Football Players in the UEFA Champions League.
机构信息
School of Physical Education and Sport Training, Shanghai University of Sport, Shanghai 200438, China.
Shanghai Key Lab of Human Performance, Shanghai University of Sport, Shanghai 200438, China.
出版信息
Int J Environ Res Public Health. 2020 Jan 17;17(2):604. doi: 10.3390/ijerph17020604.
This study aimed to assess the technical match performance of top-class football players in a long-term perspective. Technical performance profiles of players according to five playing positions (central defender, full back, wide midfielder, central midfielder, forward) and five situational variables (competition stage, match location, quality of team, quality of opponent, match outcome) were established. Technical match data of players in the UEFA Champions League from season 2009-2010 to 2016-2017 were analyzed. The true effects of positional and situational variables on players' technical performance were evaluated by the non-clinical magnitude-based inference. Results showed that the effect of on player's performance was negligible. , and revealed the strongest effects on player's performance (ES: -0.42 ± 0.10-0.59 ± 0.10) while the effect of was relatively lower (ES: -0.32 ± 0.10-0.23 ± 0.07). The number of variables that showed statistical differences under five competing contexts for wide midfielders and forwards were higher than those of central defenders, full backs, and central midfielders. Differences of players' match performance could mainly be identified in variables related to goal scoring, passing, and organizing, these findings may provide important insights for coaches and analysts during the match preparation and training session.
本研究旨在从长期角度评估顶级足球运动员的技术匹配表现。根据五个场上位置（中后卫、边后卫、边前卫、中前卫、前锋）和五个情境变量（比赛阶段、比赛地点、球队质量、对手质量、比赛结果），建立了球员的技术表现档案。分析了 2009-2010 赛季至 2016-2017 赛季欧冠联赛中球员的技术比赛数据。通过非临床基于效应量的推理方法评估了位置和情境变量对球员技术表现的真实影响。结果表明，位置对球员表现的影响可以忽略不计。而 和 对球员表现的影响最大（ES：-0.42 ± 0.10-0.59 ± 0.10），而 的影响相对较低（ES：-0.32 ± 0.10-0.23 ± 0.07）。在五个竞争情境下，显示出统计差异的变量数量对于边前卫和前锋来说高于中后卫、边后卫和中前卫。球员比赛表现的差异主要可以在与进球、传球和组织相关的变量中识别出来，这些发现可能为教练和分析师在比赛准备和训练期间提供重要的见解。
Zotero 插件