Current Approaches to Tactical Performance Analyses in Soccer Using Position Data
Current Approaches to Tactical Performance Analyses in Soccer Using Position Data
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DOI：
10.1007/s40279-016-0562-5
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发表时间：
2017-01-01
期刊：
影响因子：
9.8
通讯作者：
Sampaio, Jaime
中科院分区：
文献类型：
--
作者：
Memmert, Daniel;Lemmink, Koen A. P. M.;Sampaio, Jaime
战术比赛的表现取决于个人球员或球队在比赛中的空间和时间的行动质量，以取得成功。技术创新带来了新的可能性，可以捕捉所有球员的准确时空信息，并解开足球比赛的动态和复杂性。本文的主要目的是对足球位置数据分析的发展现状进行综述。基于同一组高水平的11对11比赛（拜仁慕尼黑对巴塞罗那）的位置数据，从动态系统和神经网络的角度提出了三种不同的有前途的方法：战术性能分析揭示了球员之间的协调，队间和线间的协调在关键事件之前，以及团队之间的互动和紧凑系数。这可能会导致一个多学科的讨论比赛分析体育科学和足球的理论和实践意义的新途径。
Tactical match performance depends on the quality of actions of individual players or teams in space and time during match-play in order to be successful. Technological innovations have led to new possibilities to capture accurate spatio-temporal information of all players and unravel the dynamics and complexity of soccer matches. The main aim of this article is to give an overview of the current state of development of the analysis of position data in soccer. Based on the same single set of position data of a high-level 11 versus 11 match (Bayern Munich against FC Barcelona) three different promising approaches from the perspective of dynamic systems and neural networks will be presented: Tactical performance analysis revealed inter-player coordination, inter-team and inter-line coordination before critical events, as well as team-team interaction and compactness coefficients. This could lead to a multi-disciplinary discussion on match analyses in sport science and new avenues for theoretical and practical implications in soccer.