Plakias Spyridon, Michailidis Yiannis
Department of Physical Education and Sport Science, University of Thessaly, 38221 Trikala, Greece.
Laboratory of Evaluation of Human Biological Performance, New Buildings of Laboratories, Department of Physical Education and Sports Sciences, Aristotle University of Thessaloniki, 57001 Thessaloniki, Greece.
Sports (Basel). 2024 Jul 19;12(7):196. doi: 10.3390/sports12070196.
Performance analysis in sports is a rapidly evolving field, where academics and applied performance analysts work together to improve coaches' decision making through the use of performance indicators (PIs). This study aimed to provide a comprehensive analysis of factors affecting running performance (RP) in soccer teams, focusing on low (LI), medium (MI), and high-speed distances (HI) and the number of high-speed runs (NHI). Data were collected from 185 matches in the Turkish first division's 2021-2022 season using InStat Fitness's optical tracking technology. Four linear mixed-model analyses were conducted on the RP metrics with fixed factors, including location, team quality, opponent quality, ball possession, high-press, counterattacks, number of central defenders, and number of central forwards. The findings indicate that high-press and opponent team quality affect MI (d = 0.311, d = 0.214) and HI (d = 0.303, d = 0.207); team quality influences MI (d = 0.632); location and counterattacks impact HI (d = 0.228, d = 0.450); high-press and the number of central defenders affects NHI (d = 0.404, d = 0.319); and ball possession affects LI (d = 0.287). The number of central forwards did not influence any RP metrics. This study provides valuable insights into the factors influencing RP in soccer, highlighting the complex interactions between formations and physical, technical-tactical, and contextual variables. Understanding these dynamics can help coaches and analysts optimize team performance and strategic decision making.
体育领域的表现分析是一个快速发展的领域，在此领域中，学者和应用表现分析师共同努力，通过使用表现指标（PIs）来改善教练的决策。本研究旨在全面分析影响足球队跑步表现（RP）的因素，重点关注低速（LI）、中速（MI）和高速距离（HI）以及高速奔跑次数（NHI）。使用InStat Fitness的光学跟踪技术，从土耳其超级联赛2021 - 2022赛季的185场比赛中收集数据。对RP指标进行了四项线性混合模型分析，固定因素包括位置、球队质量、对手质量、控球率、高压逼抢、反击、中后卫人数和中锋人数。研究结果表明，高压逼抢和对手球队质量会影响中速距离（d = 0.311，d = 0.214）和高速距离（d = 0.303，d = 0.207）；球队质量影响中速距离（d = 0.632）；位置和反击影响高速距离（d = 0.228，d = 0.450）；高压逼抢和中后卫人数影响高速奔跑次数（d = 0.404，d = 0.319）；控球率影响低速距离（d = 0.287）。中锋人数对任何RP指标均无影响。本研究为影响足球比赛中跑步表现的因素提供了有价值的见解，突出了阵型与身体、技术战术和情境变量之间复杂的相互作用。了解这些动态关系有助于教练和分析师优化球队表现和战略决策。
