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

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 paramet...

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Main Authors: Changjing Zhou, Miguel-Ángel Gómez, Alberto Lorenzo
Format: Article
Language:English
Published: Termedia Publishing House 2020-02-01
Series:Biology of Sport
Subjects:
Online Access:https://www.termedia.pl/The-evolution-of-physical-and-technical-performance-parameters-in-the-Chinese-Soccer-Super-League,78,39891,1,1.html
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author Changjing Zhou
Miguel-Ángel Gómez
Alberto Lorenzo
author_facet Changjing Zhou
Miguel-Ángel Gómez
Alberto Lorenzo
author_sort Changjing Zhou
collection DOAJ
description 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 (p<0.05), 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; p<0.001; effect size [ES]: 0.40), number of sprints (100.1±22.8 vs. 104.8±20.8, p<0.001; ES: 0.22), high-speed distance (2568.4±503.5 m vs. 2823.1±479.2 m; (p<0.001; ES: 0.52), and high-speed effort (187.5±36.1 to 204.7±33.7; p<0.001; ES: 0.49). Furthermore, there were ~23% more crosses (p<0.001; ES: 0.45), ~12% more shots on target (p<0.001; ES: 0.22), and ~11% more opponent penalty area entries (p<0.001; 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.
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spelling doaj.art-396eb502fa2641868602a37d3559c3be2022-12-21T18:24:07ZengTermedia Publishing HouseBiology of Sport0860-021X2083-18622020-02-0137213914510.5114/biolsport.2020.9303939891The evolution of physical and technical performance parameters in the Chinese Soccer Super LeagueChangjing ZhouMiguel-Ángel GómezAlberto LorenzoPerformance 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 (p<0.05), 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; p<0.001; effect size [ES]: 0.40), number of sprints (100.1±22.8 vs. 104.8±20.8, p<0.001; ES: 0.22), high-speed distance (2568.4±503.5 m vs. 2823.1±479.2 m; (p<0.001; ES: 0.52), and high-speed effort (187.5±36.1 to 204.7±33.7; p<0.001; ES: 0.49). Furthermore, there were ~23% more crosses (p<0.001; ES: 0.45), ~12% more shots on target (p<0.001; ES: 0.22), and ~11% more opponent penalty area entries (p<0.001; 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.https://www.termedia.pl/The-evolution-of-physical-and-technical-performance-parameters-in-the-Chinese-Soccer-Super-League,78,39891,1,1.htmlmatch analysis chinese soccer longitudinal evolution physical fitness
spellingShingle Changjing Zhou
Miguel-Ángel Gómez
Alberto Lorenzo
The evolution of physical and technical performance parameters in the Chinese Soccer Super League
Biology of Sport
match analysis
chinese soccer
longitudinal
evolution
physical fitness
title The evolution of physical and technical performance parameters in the Chinese Soccer Super League
title_full The evolution of physical and technical performance parameters in the Chinese Soccer Super League
title_fullStr The evolution of physical and technical performance parameters in the Chinese Soccer Super League
title_full_unstemmed The evolution of physical and technical performance parameters in the Chinese Soccer Super League
title_short The evolution of physical and technical performance parameters in the Chinese Soccer Super League
title_sort evolution of physical and technical performance parameters in the chinese soccer super league
topic match analysis
chinese soccer
longitudinal
evolution
physical fitness
url https://www.termedia.pl/The-evolution-of-physical-and-technical-performance-parameters-in-the-Chinese-Soccer-Super-League,78,39891,1,1.html
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