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每周监测变量如何影响精英五人制足球运动员的个人及团队比赛表现。

How weekly monitoring variables influence players' and teams' match performance in elite futsal players.

作者信息

Ribeiro João Nuno, Monteiro Diogo, Sampaio Jaime, Couceiro Micael, Travassos Bruno

机构信息

Department of Sport Sciences, University of Beira Interior, Covilhã, Portugal.

Research Centre in Sport Sciences, Health Sciences and Human Development, CIDESD, Vila Real Portugal.

出版信息

Biol Sport. 2023 Jan;40(1):77-83. doi: 10.5114/biolsport.2023.112091. Epub 2022 Jan 3.

Abstract

This study aimed to investigate how weekly training load constrains the performance of players and teams in official futsal competitions. Data from a professional male team were collected during two seasons (46 weeks). The applied monitoring system analysed the training load (as measured by session perceived exertion, sRPE), the total recovery status (TQR), the well-being score (WBs) and the variability of neuromuscular performance during each week (CMJ-cv). In addition, the performance was assessed for all the matches. A path analysis model was performed to test the associations across variables. Results from the path analysis model revealed that it explains 31% of the teams' performance. In general, the results show that previous team performance has no significant effects on the training week. A significant negative relationship was found between CMJ-cv and match performance ( = -.34; CI95% -.359 to -.070), as well as a significant negative relationship between players' match performance and the team's match performance ( = -.55; CI95% -.292 to .740). Regarding indirect effects, only a negative association between CMJ-cv and team match performance via players' match performance ( = -.19; CI95% -.342 to -.049) was identified. The small variation of the weekly CMJ (CMJ-cv) seems to be a key variable to monitor and explain both player and team performance. Based on this model, and only looking at the physical variables, it was possible to explain 31% of the team's performance. Longitudinal and multi-team studies should be conducted to integrate other technical, tactical and psychological variables that allow the level of understanding of players' and teams' performance to be improved.

摘要

本研究旨在调查每周训练负荷如何限制球员和球队在正式五人制足球比赛中的表现。在两个赛季(46周)中收集了一支职业男子球队的数据。所应用的监测系统分析了训练负荷(通过训练课主观用力程度,即sRPE来衡量)、总恢复状态(TQR)、幸福感得分(WBs)以及每周神经肌肉表现的变异性(CMJ-cv)。此外,对所有比赛的表现进行了评估。进行了路径分析模型以检验变量之间的关联。路径分析模型的结果显示,它可以解释球队表现的31%。总体而言,结果表明先前球队的表现对训练周没有显著影响。发现CMJ-cv与比赛表现之间存在显著负相关(=-0.34;95%置信区间为-0.359至-0.070),以及球员的比赛表现与球队的比赛表现之间存在显著负相关(=-0.55;95%置信区间为-0.292至-0.740)。关于间接效应,仅发现CMJ-cv通过球员的比赛表现与球队比赛表现之间存在负相关(=-0.19;95%置信区间为-0.342至-0.049)。每周CMJ的微小变化(CMJ-cv)似乎是监测和解释球员及球队表现的关键变量。基于此模型,仅考虑身体变量,就有可能解释球队表现的31%。应进行纵向和多球队研究,以纳入其他技术、战术和心理变量,从而提高对球员和球队表现的理解水平。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c8a/9806744/e898ccbf33c1/JBS-40-112091-g001.jpg

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