Performance and Analytics Department, Parma Calcio 1913, Parma, Italy.
Department of Movement, Human and Health Sciences, University of Rome "Foro Italico," Rome, Italy.
Int J Sports Physiol Perform. 2024 Jun 19;19(8):836-840. doi: 10.1123/ijspp.2024-0038. Print 2024 Aug 1.
This study aimed to enhance the understanding of soccer match peak demands by describing worst-case scenario (WCS) and time spent above 80% and 90% of the WCS for total distance (TD) and high-speed running (HSR). The investigation considered playing level (first team vs under-19 [U19] team) and playing position (center backs, fullbacks, midfielders, and forwards) to assess how WCS and the time spent above specific thresholds vary across different populations.
Data from 31 players in a professional Italian soccer club were collected during the 2022-23 season. Microtechnology devices tracked physical activity during matches. Players were categorized by position, and WCS was determined using rolling averages over a 1-minute period. Time spent above 80% and 90% of WCS for TD and HSR was calculated.
The U19 team exhibited higher HSR WCS compared with the first team (∼63 m·min-1 vs ∼56 m·min-1). Midfielders recorded the highest TD WCS (∼208 m·min-1), and forwards exhibited the highest HSR WCS (∼70 m·min-1). The first team spent significantly more time above 80% (∼6 min) and 90% (∼1 min) of TD WCS. Midfielders spent significantly more time above the 80% (∼7 min) of TD WCS, while forwards above the 80% (∼2 min) of HSR WCS.
The study emphasizes that WCS used alone may not sufficiently capture real match intensity. Considering the time spent above specific thresholds provides additional insights (ie, between-levels differences and position). Practitioners should consider both WCS and time spent above thresholds for individualized training prescriptions, reflecting differences in playing roles.
本研究旨在通过描述最差情况(WCS)和超过 WCS 的 80%和 90%的时间来提高对足球比赛最高需求的理解,以描述总距离(TD)和高速跑动(HSR)的情况。研究考虑了比赛水平(一线队与 U19 队)和比赛位置(中后卫、边后卫、中场和前锋),以评估 WCS 和超过特定阈值的时间如何在不同人群中变化。
在 2022-23 赛季,从一家意大利职业足球俱乐部的 31 名球员身上收集数据。微技术设备跟踪比赛中的身体活动。根据位置对球员进行分类,并使用 1 分钟的滚动平均值确定 WCS。计算 TD 和 HSR 超过 WCS 的 80%和 90%的时间。
U19 队的 HSR WCS 高于一线队(63m·min-1 vs ~56m·min-1)。中场球员的 TD WCS 最高(208m·min-1),前锋的 HSR WCS 最高(70m·min-1)。一线队在 TD WCS 的 80%(6 分钟)和 90%(1 分钟)以上花费的时间明显更多。中场球员在 TD WCS 的 80%(7 分钟)以上花费的时间明显更多,而前锋在 HSR WCS 的 80%(~2 分钟)以上花费的时间更多。
该研究强调,仅使用 WCS 可能不足以捕捉真实比赛强度。考虑超过特定阈值的时间可以提供更多的见解(即,不同水平之间的差异和位置)。从业者应考虑 WCS 和超过阈值的时间,为个体化训练处方提供依据,反映出比赛角色的差异。