Morgans Ryland, Mandorino Mauro, Beato Marco, Ryan Ben, Zmijewski Piotr, Moreira Alexandre, Ceylan Halil Ibrahim, Oliveira Rafael
School of Sport and Health Sciences, Cardiff Metropolitan University, Cardiff, UK.
Brentford FC Football Research Centre, Brentford FC, London, UK.
Biol Sport. 2025 Jan 24;42(3):119-127. doi: 10.5114/biolsport.2025.147011. eCollection 2025 Jul.
This study aimed to compare high-speed running (HSR) and sprint distances (SD) when in- (IP) and out-of-possession (OP) during official English Premier League (EPL) match-play over three consecutive seasons considering playing position, match location and opponent ranking. Match data from 31 male professional soccer players was obtained via an optical tracking system. Results showed that during the IP phase, playing position emerged as the only significant predictor for both HSRIP and SDIP. Wingers showed the highest HSRIP compared to centre-backs who exhibited the lowest values (p < 0.001, ES = 4.19). Similar data were found for SDIP (p < 0.001, ES = 3.30). HSROP was significantly affected by both ranking difference (β = -0.039, p = 0.001) and match location (β = 0.369, p = 0.001). HSROP decreases as the ranking difference increases and tends to be higher during away matches (p = 0.001, ES = 0.24). SDOP was affected by both ranking difference (β = -0.023, p = 0.001) and match location (β = 0.166, p = 0.001) and decreased as the ranking difference increased. SDOP was also higher during away matches (p = 0.001, ES = 0.23). Additionally, a significant interaction was found between playing position and ranking difference (β = 0.005, p = 0.010). Lower ranking differences correspond to higher SDOP values. In conclusion, these findings highlight that by applying these IP and OP insights into practical coaching strategies, teams can potentially enhance individual physical performance and adaptability across different match situations and seasons.
本研究旨在比较在连续三个赛季的英超联赛正式比赛中,考虑球员位置、比赛地点和对手排名情况下,有球(IP)和无球(OP)状态时的高速奔跑(HSR)和冲刺距离(SD)。通过光学跟踪系统获取了31名男性职业足球运动员的比赛数据。结果表明,在有球阶段,球员位置是高速奔跑距离(HSRIP)和冲刺距离(SDIP)的唯一显著预测因素。边锋的HSRIP最高,而中后卫的HSRIP最低(p < 0.001,效应量ES = 4.19)。SDIP也有类似的数据(p < 0.001,效应量ES = 3.30)。无球状态下的高速奔跑(HSROP)受到排名差异(β = -0.039,p = 0.001)和比赛地点(β = 0.369,p = 0.001)的显著影响。HSROP随着排名差异的增加而降低,并且在客场比赛中往往更高(p = 0.001,效应量ES = 0.24)。冲刺距离(SDOP)受到排名差异(β = -0.023,p = 0.001)和比赛地点(β = 0.166,p = 0.001)的影响,并随着排名差异的增加而降低。SDOP在客场比赛中也更高(p = 0.001,效应量ES = 0.23)。此外,还发现球员位置和排名差异之间存在显著的交互作用(β = 0.005,p = 0.010)。排名差异越小,SDOP值越高。总之,这些发现突出表明,通过将这些有球和无球状态的见解应用于实际教练策略中,球队可以潜在地提高个体体能表现以及在不同比赛情况和赛季中的适应性。