Morgans Ryland, Radnor John, Fonseca Jose, Haslam Chris, King Matthew, Rhodes Dave, Żmijewski Piotr, Oliveira Rafael
School of Sport and Health Sciences, Cardiff Metropolitan University, Cardiff, UK.
Faculty of Human Kinetics, Lisbon University, Lisbon, Portugal.
Biol Sport. 2024 Jul;41(3):275-286. doi: 10.5114/biolsport.2024.135414. Epub 2024 Feb 12.
The aim of this study was to examine the possession (very low, low, high, and very high), team formation (3-5-2 and 4-3-3) and position (centre-backs, full-backs, centre midfielders, attacking midfielders, and centre forwards) on match load across two consecutive seasons in elite soccer. Twenty-seven English Premier League outfield players were recruited. Data was monitored through an 18 Hz Global Positioning System and a 25 Hz semi-automated camera tracking system, respectively, and all variables were analysed per minute. Main effects for formation on total distance (TD) (p = 0.006; = 0.010), high-speed running (HSR) (p = 0.009; = 0.009), number of high metabolic load (HML) efforts (p = 0.004; = 0.011) were observed. In addition, there were significant interaction effects with formation × possession on TD (p < 0.001; = 0.043), HSR (p = 0.006; = 0.018), sprinting (p < 0.001; = 0.030), HML efforts (p < 0.001; = 0.035), accelerations (p < 0.001; = 0.025). From the position-specific analysis, only the running performance of centre-backs was affected by formation or positional factors. These results indicate that formation and possession can have a significant impact on TD, HSR, and HML distance. Furthermore, players performed more high-intensity efforts in 3-5-2 than 4-3-3 formation. These findings suggest that coaches can evaluate running performance in the context of formation and possession and tailor tactical strategies to optimise physical performance.
本研究旨在考察精英足球连续两个赛季中,控球情况(极低、低、高和极高)、阵型(3-5-2和4-3-3)以及位置(中后卫、边后卫、中场球员、攻击型中场和中锋)对比赛负荷的影响。招募了27名英超联赛的非守门员球员。分别通过18赫兹的全球定位系统和25赫兹的半自动摄像机跟踪系统监测数据,并每分钟分析所有变量。观察到阵型对总距离(TD)(p = 0.006;η² = 0.010)、高速奔跑(HSR)(p = 0.009;η² = 0.009)、高代谢负荷(HML)次数(p = 0.004;η² = 0.011)有主效应。此外,阵型×控球在TD(p < 0.001;η² = 0.043)、HSR(p = 0.006;η² = 0.018)、冲刺(p < 0.001;η² = 0.030)、HML次数(p < 0.001;η² = 0.035)、加速度(p < 0.001;η² = 0.025)方面存在显著的交互效应。从特定位置分析来看,只有中后卫的奔跑表现受阵型或位置因素影响。这些结果表明,阵型和控球情况会对TD、HSR和HML距离产生显著影响。此外,球员在3-5-2阵型中比在4-3-3阵型中进行更多的高强度活动。这些发现表明,教练可以在阵型和控球的背景下评估奔跑表现,并制定战术策略以优化体能表现。