Li Pei, Zhong Shisheng, Chmura Paweł, Liu Hongyou
School of Physical Education & Sports Science, South China Normal University, Guangzhou, China.
National Demonstration Centre for Experimental Sports Science Education, South China Normal University, Guangzhou, China.
Front Psychol. 2023 Jan 11;13:1069082. doi: 10.3389/fpsyg.2022.1069082. eCollection 2022.
The study aims to quantify the variation in the physical and technical match performance of football teams in different months of a season in the Chinese Super League (CSL). Data of 1,899 matches in the seasons 2012-2019 of CSL collected by Amisco Pro® were analysed. The generalised mixed modelling was employed to estimate the per match mean values of six physical performance-related parameters and 16 technical performance-related parameters of CSL teams in every month of all the eight seasons. Results showed that: (1) the mean values of all the analysed physical performance-related parameters (total/sprint/HSR/MSR distance, sprint/HSR efforts) of CSL teams through a season were characterised like a 'U' shape, the highest value was observed in the beginning of season (March), then decreased gradually, reaching the lowest in August, and rebounded progressively from September to November; (2) the mean values of eight technical performance-related parameters (goals, shots, shot accuracy, individual possession, individual possession in the last third, crosses, cross accuracy and yellow cards) presented trivial changes through the whole season; (3) the number of passes, passes per shot, forward passes, and time in individual possession showed trivial changes from March to October, but showed a substantially increase in November (the last month of season); (4) Pass accuracy, forward pass accuracy, and the number of mean ball touches per individual possession substantially increased in June, July and August, whilst the number of challenges, ground challenges, air challenges, tackles and fouls all substantially decreased in these 3 months. These results could provide detailed information to help the practitioners choose the best training and match preparation strategy in the means of periodisation in different season phases.
本研究旨在量化中国足球超级联赛(中超联赛)一个赛季中不同月份各足球队在体能和技术比赛表现方面的差异。分析了由Amisco Pro®收集的2012 - 2019赛季中超联赛1899场比赛的数据。采用广义混合模型来估计八个赛季中每个月中超球队六个体能表现相关参数和十六个技术表现相关参数的每场比赛平均值。结果表明:(1)中超球队在一个赛季中所有分析的体能表现相关参数(总/冲刺/高强度跑/中强度跑距离、冲刺/高强度跑次数)的平均值呈“U”形,在赛季开始时(3月)最高,随后逐渐下降,8月达到最低,9月至11月逐渐回升;(2)八个技术表现相关参数(进球、射门、射门准确率、个人控球、最后三分之一区域个人控球、传中、传中准确率和黄牌)的平均值在整个赛季中变化不大;(3)传球次数、每次射门传球数、向前传球数和个人控球时间从3月到10月变化不大,但在11月(赛季最后一个月)大幅增加;(4)传球准确率、向前传球准确率和每次个人控球平均触球次数在6月、7月和8月大幅增加,而在这三个月中,对抗次数、地面对抗次数、空中对抗次数、抢断次数和犯规次数均大幅减少。这些结果可以提供详细信息,帮助从业者在不同赛季阶段通过周期化手段选择最佳训练和比赛准备策略。