基于最后传球表现矢量演算的足球比赛战术分析

IF 2.8 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY
Tenpei Morishita , Yuji Aruga , Masao Nakayama , Akifumi Kijima , Hiroyuki Shima
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引用次数: 0

摘要

分析足球玩法的传统方法是密切观察球和球员的运动,以深入了解战术和球员之间的互动。本研究引入了一种基于观察数据的更先进的数学方法来阐明典型的游戏模式和战术特征。具体来说,我们将矢量分析应用于在许多游戏中观察到的最后一次通过的方向和长度,并从最后一次通过的矢量场中推导出势场。我们的方法允许沿着潜力梯度的自然传球流和不遵循梯度的最后传球的战术特征的可视化。矢量分析还揭示了低电位区域的自发形成,这些区域的传球集中在禁区前,可视化了禁区附近传中的典型性。此外,对与梯度不一致的矢量分量的详细分析揭示了攻击的战术特征或对中路和边路防守者的反应。本研究的结果为比赛中的战术分析和策略优化提供了有用的见解,为体育科学提供了新的视角。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tactical analysis of football games by vector calculus of last-pass performance
The traditional approach to analyzing football (soccer) gameplay is to observe the movements of the ball and players closely to gain insight into the tactics and interactions between players. This study introduces a more advanced mathematical approach based on observational data to elucidate typical game patterns and tactical characteristics. Specifically, we applied vector analysis to the direction and length of the last-passes observed in numerous games and derived potential fields from the last-pass vector fields. Our approach allows for the visualization of natural pass flows along the gradient of the potential and the tactical characteristics of the last-passes that do not follow the gradient. Vector analysis also revealed the spontaneous formation of low-potential areas where passes were concentrated in front of the goal area, visualizing the typicality of crosses near the penalty area. Additionally, a detailed analysis of vector components not aligned with the gradient revealed the tactical characteristics of attacks or responses to defenders in the central and side areas. The outcomes of this study provide useful insights into tactical analysis and strategy optimization in matches, offering new perspectives in sports science.
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来源期刊
CiteScore
7.20
自引率
9.10%
发文量
852
审稿时长
6.6 months
期刊介绍: Physica A: Statistical Mechanics and its Applications Recognized by the European Physical Society Physica A publishes research in the field of statistical mechanics and its applications. Statistical mechanics sets out to explain the behaviour of macroscopic systems by studying the statistical properties of their microscopic constituents. Applications of the techniques of statistical mechanics are widespread, and include: applications to physical systems such as solids, liquids and gases; applications to chemical and biological systems (colloids, interfaces, complex fluids, polymers and biopolymers, cell physics); and other interdisciplinary applications to for instance biological, economical and sociological systems.
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