Yi Qing, Gómez Miguel-Ángel, Liu Hongyou, Gao Binghong, Wunderlich Fabian, Memmert Daniel
School of Physical Education and Sport Training, Shanghai University of Sport, Shanghai, China.
Shanghai Key Lab of Human Performance, Shanghai University of Sport, Shanghai, China.
Front Psychol. 2020 Jun 19;11:1201. doi: 10.3389/fpsyg.2020.01201. eCollection 2020.
This study aimed to identify the situational and positional effects on the variation of players' technical performance in the UEFA Champions League from a long-term perspective. The technical performance of full match observations from outfield players in the UEFA Champions League from season 2009/2010 to 2016/2017 was analysed. The coefficient of variation of each variable of each player in each season was calculated to evaluate the match-to-match variation of technical performance. The variation of technical performance between players was compared across five playing positions and five situational variables using the non-clinical magnitude-based inference. Results showed that variables related to goal scoring, passing and organising from five playing positions showed a relatively higher variation among five competing contexts (ES: -0.72 ± 0.38 - 0.82 ± 0.61). Quality of team, quality of opponent and match outcome showed relatively greater influences than competition stage and match location on the variation of a player's technical performance (ES: -0.72 ± 0.38 - 0.57 ± 0.56). The technical performances of wide players (full backs and wide midfielders) were more variable between the group and knockout stage (ES: -0.37 ± 0.32 - 0.28 ± 0.19). This study provides an important understanding of the associations among the variation of technical indicators, playing positions and situational variables. These profiles of technical variation could be used by coaches and analysts for talent identification, player recruitment, pre-match preparation and post-match evaluation.
本研究旨在从长期角度确定影响欧洲冠军联赛球员技术表现变化的情境和位置效应。分析了2009/2010赛季至2016/2017赛季欧洲冠军联赛中所有外场球员全场比赛的技术表现。计算每个赛季每名球员各变量的变异系数,以评估技术表现的逐场变化。使用基于非临床量级的推断方法,比较了五个比赛位置和五个情境变量下球员之间技术表现的差异。结果表明,与五个比赛位置的进球、传球和组织相关的变量在五个竞争情境中表现出相对较高的差异(效应量:-0.72±0.38至-0.82±0.61)。球队质量、对手质量和比赛结果对球员技术表现变化的影响相对大于比赛阶段和比赛地点(效应量:-0.72±0.38至-0.57±0.56)。边路球员(边后卫和边前卫)在小组赛和淘汰赛阶段的技术表现差异更大(效应量:-0.37±0.32至-0.28±0.19)。本研究为理解技术指标变化、比赛位置和情境变量之间的关联提供了重要依据。这些技术变化概况可供教练和分析师用于人才识别、球员招募、赛前准备和赛后评估。