关键词: Team sports game demands load monitoring most demanding scenarios peak demands

Mesh : Soccer / physiology Humans Running / physiology Acceleration Athletic Performance / physiology Deceleration Geographic Information Systems Adolescent Competitive Behavior / physiology Male Time and Motion Studies Physical Conditioning, Human / physiology

来  源:   DOI:10.1080/02640414.2024.2384256

Abstract:
This study examined the frequency of the most demanding scenarios (MDS) during official soccer matches using rolling averages over 1, 5, and 10 min. Forty-two Under-19 players from different positions (central defenders, full-backs, central midfielders, wide midfielders, offensive midfielders, and forwards) were monitored across 27 matches using GPS to track distance covered, high-speed running, sprint distance, accelerations, and decelerations. Intensity thresholds were established based on percentiles (0-25, 25-50, 50-75, 75-100, and ≥100). The main findings suggest that: (i) Peak Demands occur in less than 1% of all time windows and variables for all positions; (ii) Most efforts occur below peak demands, with around 95% for high-speed running and sprint distance, and 85% for accelerations, decelerations, and total distance; (iii) Significant differences in intensity distributions were found between positions, particularly at medium-low and high intensities. Regarding training prescription, relying solely on MDS may be limited, highlighting the need to supplement MDS with other metrics for a comprehensive understanding of match demands. This approach ensures better-informed training programs for soccer players.
The occurrence of peak demand events during soccer matches is infrequent. Therefore, understanding the frequency of efforts below the intensity threshold of the most demanding passages for each playing position and across various analysed variables and periods is of utmost importance.MDS might not be enough for effective soccer training planning. Complementing with additional metrics like GPS, tactical analysis, physiological data and psychological factors is essential for a comprehensive understanding of the game’s demands and tailored training programmes.
摘要:
这项研究使用1、5和10分钟的滚动平均值检查了官方足球比赛中最苛刻的场景(MDS)的频率。42名来自不同位置的19岁以下球员(中后卫,后卫,中央中场,广泛的中场,进攻中场,和前锋)使用GPS跟踪27场比赛的距离,高速运行,冲刺距离,加速度,和减速。强度阈值基于百分位数(0-25、25-50、50-75、75-100和≥100)建立。主要发现表明:(i)峰值需求发生在所有位置的所有时间窗口和变量的不到1%;(ii)大多数努力发生在峰值需求以下,高速运行和冲刺距离约占95%,85%的加速度,减速,和总距离;(iii)发现位置之间的强度分布存在显着差异,特别是在中低和高强度。关于培训处方,仅依靠MDS可能是有限的,强调需要用其他指标来补充MDS,以便全面了解比赛需求。这种方法可以确保为足球运动员提供更明智的培训计划。
足球比赛期间高峰需求事件的发生很少。因此,了解频率的努力低于强度阈值的最苛刻的通道为每个比赛的位置和跨各种分析的变量和周期是至关重要的。MDS可能不足以进行有效的足球训练计划。补充额外的指标,如GPS,战术分析,生理数据和心理因素对于全面了解游戏需求和量身定制的培训计划至关重要。
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