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运用广义加性模型分析中国超级联赛球员身体和技术表现的非线性趋势。

Non-linear trends using the generalized additive models in physical and technical performances of the Chinese Super League players.

机构信息

School of Elite Sport, Shanghai University of Sport, Shanghai, China.

出版信息

PLoS One. 2024 Jul 26;19(7):e0307843. doi: 10.1371/journal.pone.0307843. eCollection 2024.

Abstract

This study aimed to investigate the non-linear evolution of position-specific physical and technical performance indicators across different tactical formations in the Chinese Super League (CSL) from the 2015 to the 2021 seasons. Match data were collected from 800 games played in six common formations (3-5-2, 4-3-3, 4-2-3-1, 4-4-2, 3-4-3, and 4-1-4-1). Players were classified into five positions: central defenders (CD; match observations = 2,219), fullbacks (FB; match observations = 2,060), central midfielders (CM; match observations = 2,786), wide midfielders (WM; match observations = 1,587), and forwards (FW; match observations = 1,680). Generalized additive models (GAMs) were constructed to analyze the nonlinear evolution trends in position-specific physical and technical performance across seasons and formations. The results showed that the total distance covered by CDs in the 3-5-2 formation showed a non-linear upward trend from the 2015 to 2021 seasons (R2 = 0.3, p = 0.006); FBs in the 3-4-3, 4-1-4-1, and 3-5-2 formations exhibited non-linear upward trends in number of sprints and sprint distance from the 2015 to 2021 seasons (R2 = 0.189-0.448; P < 0.03, respectively); the high-speed running of FWs in the 4-2-3-1 formation displayed a non-linear decline trend from the 2015 to 2021 seasons (R2 = 0.477; P < 0.001); CMs in the 4-2-3-1 formation demonstrated a non-linear increasing trend in the ball retention percentage (R2 = 0.369; p = 0.001); WMs in the 4-4-2 formation showed a non-linear decreasing trend in ball retention percentage and passes from the 2015 to 2021 seasons (R2 = 0.259-0.29; P = 0.006, respectively). These findings revealed non-linear evolutionary trends in physical and technical performances across positions and formations, providing an in-depth understanding of the changing match demands placed on players during matches. This enables the optimization of training and tactics by developing targeted strategies tailored to meet the specific requirements of different formations and playing positions.

摘要

本研究旨在调查 2015 年至 2021 年期间,中国超级联赛(CSL)不同战术阵型中位置特定的体能和技术表现指标的非线性演变。比赛数据来自六个常见阵型(3-5-2、4-3-3、4-2-3-1、4-4-2、3-4-3 和 4-1-4-1)的 800 场比赛。球员被分为五个位置:中后卫(CD;比赛观察=2219)、边后卫(FB;比赛观察=2060)、中场(CM;比赛观察=2786)、边锋(WM;比赛观察=1587)和前锋(FW;比赛观察=1680)。构建广义加性模型(GAMs)以分析不同赛季和阵型中位置特定的体能和技术表现的非线性演变趋势。结果表明,3-5-2 阵型中 CD 的总跑动距离呈现出从 2015 年到 2021 年的非线性上升趋势(R2=0.3,p=0.006);3-4-3、4-1-4-1 和 3-5-2 阵型中 FB 的冲刺次数和冲刺距离呈现出从 2015 年到 2021 年的非线性上升趋势(R2=0.189-0.448;p 值分别为<0.03);4-2-3-1 阵型中 FW 的高速跑动呈现出从 2015 年到 2021 年的非线性下降趋势(R2=0.477;p<0.001);4-2-3-1 阵型中 CM 的控球率表现出非线性增加趋势(R2=0.369;p=0.001);4-4-2 阵型中 WM 的控球率和传球呈现出从 2015 年到 2021 年的非线性下降趋势(R2=0.259-0.29;p 值分别为<0.006)。这些发现揭示了不同位置和阵型中体能和技术表现的非线性演变趋势,深入了解了比赛中球员面临的不断变化的比赛需求。这使我们能够通过制定针对不同阵型和比赛位置的特定要求的有针对性的策略,来优化训练和战术。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77a1/11280146/9dc2224e840c/pone.0307843.g001.jpg

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