关键词: Age Football Generalized additive model Nonlinearity Performance

Mesh : Humans Athletic Performance / physiology China Nonlinear Dynamics Adult Male Age Factors Soccer / physiology Young Adult

来  源:   DOI:10.1038/s41598-024-65766-y   PDF(Pubmed)

Abstract:
To explore the dynamics in physical and technical performance of professional football players and changes across age groups. Match statistics were collected from 1900 games across ten seasons (2012-2021) in the Chinese Super League. Generalized additive models visualized age-related trends in 12 key performance indicators including technical and physical variables. Revealed nonlinear trajectories characterized by rapid early declines, stable peak periods and accelerated late decreases. Physical indicators decreased progressively from the early 20 s before stabilizing briefly then declining further after 30. Conversely, technical metrics gradually improved into the late 20 s and early 30 s prior to decreasing again. This study provides novel evidence that football performance changes nonlinearly across age. Targeted training and development strategies should be tailored to the specific needs of different career stages.
摘要:
探讨职业足球运动员的身体和技术表现的动态以及各年龄段的变化。比赛统计数据是从中国超级联赛十个赛季(2012-2021年)的1900场比赛中收集的。广义加法模型在包括技术和物理变量在内的12个关键绩效指标中可视化了与年龄相关的趋势。揭示了以快速早期下降为特征的非线性轨迹,稳定的高峰期和加速的后期减少。身体指标从20年代初开始逐渐下降,然后短暂稳定,然后在30年代后进一步下降。相反,技术指标逐渐改善到20年代末和30年代初,然后再次下降。这项研究提供了新的证据,表明足球表现随着年龄的增长而非线性变化。有针对性的培训和发展战略应针对不同职业阶段的具体需求。
公众号