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The evolution of physical and technical performance parameters in the Chinese Soccer Super League

机译:中国足球超级联赛中物理和技术性能参数的演变

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Performance analysis in soccer has attained greater importance for coaching staff in order to gather and manage useful information (i.e., physical, technical, and tactical) of their teams during consecutive seasons. Accordingly, we examined the evolution of physical and technical performance parameters in the Chinese Soccer Super League (CSL). Data were collected from 1,429 CSL matches from the 2012 season to the 2017 season using the Amisco Pro (Amisco, Nice, France) system. Fourteen technical performance-related indicators and 11 physical performance-related indicators were analysed using a mixed linear model for repeated measures. Significant main effects of season were followed up using the Bonferroni correction (multiple comparisons). Although there were some irregularities, performance variables generally showed significant upward trends across the six seasons (p0.05), resulting in significant increases from the 2012 season to the 2017 season in the total sprint distance (2,069.7±509.3 m vs. 2,272±493.6 m; p0.001; effect size [ES]: 0.40), number of sprints (100.1±22.8 vs. 104.8±20.8, p0.001; ES: 0.22), high-speed distance (2568.4±503.5 m vs. 2823.1±479.2 m; (p0.001; ES: 0.52), and high-speed effort (187.5±36.1 to 204.7±33.7; p0.001; ES: 0.49). Furthermore, there were ~23% more crosses (p0.001; ES: 0.45), ~12% more shots on target (p0.001; ES: 0.22), and ~11% more opponent penalty area entries (p0.001; ES: 0.20) during the 2017 season than in the 2012 season. Coaches and sports scientists should be mindful of this evolution when preparing training sessions and recruiting new players, and even when predicting future trends in the Chinese Soccer Super League.
机译:足球的绩效分析达到教练员工的重视,以便在连续赛季中收集和管理其团队的有用信息(即物理,技术和战术)。因此,我们研究了中国足球超级联赛(CSL)中物理和技术性能参数的演变。使用Amisco Pro(Amisco,Nice,France)系统从2012赛季的1,429个CSL与2017赛季收集到2017赛季的数据。使用混合线性模型进行分析为具有与重复措施的混合线性模型进行分析的十四个技术性能相关指标和11个物理性能相关指标。使用Bonferroni校正(多重比较)跟进季节的显着主要效果。虽然存在一些违规行为,但六季的性能变量通常呈现出显着的上升趋势(P <0.05),从2012季度到2017季度的总冲刺距离(2,069.7±509.3 M与2,272±493.6 M; P <0.001;效果尺寸[ES]:0.40),冲刺数(100.1±22.8与104.8±20.8,P <0.001; ES:0.22),高速距离(2568.4±503.5 m vs. 2823.1± 479.2米;(P <0.001; ES:0.52),高速努力(187.5±36.1至204.7±33.7; P <0.001; ES:0.49)。此外,交叉量〜23%(P <0.001; ES:0.45),〜12%的镜头上的镜头更多(P <0.001; ES:0.22),并在2017赛季中的对手惩罚区条目(P <0.001; ES:0.20)比2012赛季更高。在准备培训课程和招聘新球员时,教练和体育科学家应该注意到这一进化,甚至在预测中国足球超级联赛中的未来趋势。

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