Abstract：
OBJECTIVE: 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.
METHODS: 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.
RESULTS: 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.
CONCLUSIONS: 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.
METHODS: 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.
RESULTS: 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.
CONCLUSIONS: 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.
摘要：
目的：本研究旨在通过描述最坏情况（WCS）以及总距离（TD）和高速运行（HSR）超过WCS的80％和90％的时间来增强对足球比赛高峰需求的理解。调查考虑了比赛水平（一线队vs19岁以下[U19]队）和比赛位置（中后卫，后卫,中场,和转发)，以评估WCS和超过特定阈值花费的时间在不同人群中如何变化。
方法：在2022-23赛季收集了来自意大利职业足球俱乐部31名球员的数据。微技术设备在比赛期间跟踪身体活动。球员按位置分类，WCS是使用1分钟内的滚动平均值确定的。计算了TD和HSR在WCS的80%和90%以上花费的时间。
结果：与第一团队相比，U19团队表现出更高的HSRWCS（〜63m·min-1vs〜56m·min-1）。中场球员记录了最高的TDWCS(~208m·min-1)，前锋表现出最高的高铁WCS(~70米·分钟-1)。第一支球队在TDWCS的80%(~6分钟)和90%(~1分钟)以上花费的时间明显更多。中场球员花费的时间明显超过TDWCS的80%(~7分钟)，而远期高于80%(~2分钟)的高铁WCS。
结论：该研究强调，单独使用WCS可能不足以捕获真实的匹配强度。考虑到花费在特定阈值以上的时间提供了额外的见解(即，级别之间的差异和位置)。从业者应考虑WCS和花费在个性化培训处方阈值以上的时间，反映了角色的差异。
方法：在2022-23赛季收集了来自意大利职业足球俱乐部31名球员的数据。微技术设备在比赛期间跟踪身体活动。球员按位置分类，WCS是使用1分钟内的滚动平均值确定的。计算了TD和HSR在WCS的80%和90%以上花费的时间。
结果：与第一团队相比，U19团队表现出更高的HSRWCS（〜63m·min-1vs〜56m·min-1）。中场球员记录了最高的TDWCS(~208m·min-1)，前锋表现出最高的高铁WCS(~70米·分钟-1)。第一支球队在TDWCS的80%(~6分钟)和90%(~1分钟)以上花费的时间明显更多。中场球员花费的时间明显超过TDWCS的80%(~7分钟)，而远期高于80%(~2分钟)的高铁WCS。
结论：该研究强调，单独使用WCS可能不足以捕获真实的匹配强度。考虑到花费在特定阈值以上的时间提供了额外的见解(即，级别之间的差异和位置)。从业者应考虑WCS和花费在个性化培训处方阈值以上的时间，反映了角色的差异。
