The Adaptive Behavior of a Soccer Team: An Entropy-Based Analysis

To optimize its performance, a competitive team, such as a soccer team, must maintain a delicate balance between organization and disorganization. On the one hand, the team should maintain organized patterns of behavior to maximize the cooperation between its members. On the other hand, the team&...

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Main Authors: Yair Neuman, Navot Israeli, Dan Vilenchik, Yochai Cohen
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Entropy
Subjects:
Online Access:http://www.mdpi.com/1099-4300/20/10/758
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spelling doaj-b42bff267f3b461d9f6229288ebd53cd2020-11-24T21:48:37ZengMDPI AGEntropy1099-43002018-10-01201075810.3390/e20100758e20100758The Adaptive Behavior of a Soccer Team: An Entropy-Based AnalysisYair Neuman0Navot Israeli1Dan Vilenchik2Yochai Cohen3Department of Cognitive and Brain Sciences, Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, 84105 Beer-Sheva, IsraelWales Ltd., 52522 Ramat-Gan, IsraelDepartment of Communication Systems Engineering, Ben-Gurion University of the Negev, 84105 Beer-Sheva, IsraelGilasio Coding, 6458701 Tel-Aviv, IsraelTo optimize its performance, a competitive team, such as a soccer team, must maintain a delicate balance between organization and disorganization. On the one hand, the team should maintain organized patterns of behavior to maximize the cooperation between its members. On the other hand, the team’s behavior should be disordered enough to mislead its opponent and to maintain enough degrees of freedom. In this paper, we have analyzed this dynamic in the context of soccer games and examined whether it is correlated with the team’s performance. We measured the organization associated with the behavior of a soccer team through the Tsallis entropy of ball passes between the players. Analyzing data taken from the English Premier League (2015/2016), we show that the team’s position at the end of the season is correlated with the team’s entropy as measured with a super-additive entropy index. Moreover, the entropy score of a team significantly contributes to the prediction of the team’s position at the end of the season beyond the prediction gained by the team’s position at the end of the previous season.http://www.mdpi.com/1099-4300/20/10/758organization/disorganizationteam’s performancesoccerentropy
collection DOAJ
language English
format Article
sources DOAJ
author Yair Neuman
Navot Israeli
Dan Vilenchik
Yochai Cohen
spellingShingle Yair Neuman
Navot Israeli
Dan Vilenchik
Yochai Cohen
The Adaptive Behavior of a Soccer Team: An Entropy-Based Analysis
Entropy
organization/disorganization
team’s performance
soccer
entropy
author_facet Yair Neuman
Navot Israeli
Dan Vilenchik
Yochai Cohen
author_sort Yair Neuman
title The Adaptive Behavior of a Soccer Team: An Entropy-Based Analysis
title_short The Adaptive Behavior of a Soccer Team: An Entropy-Based Analysis
title_full The Adaptive Behavior of a Soccer Team: An Entropy-Based Analysis
title_fullStr The Adaptive Behavior of a Soccer Team: An Entropy-Based Analysis
title_full_unstemmed The Adaptive Behavior of a Soccer Team: An Entropy-Based Analysis
title_sort adaptive behavior of a soccer team: an entropy-based analysis
publisher MDPI AG
series Entropy
issn 1099-4300
publishDate 2018-10-01
description To optimize its performance, a competitive team, such as a soccer team, must maintain a delicate balance between organization and disorganization. On the one hand, the team should maintain organized patterns of behavior to maximize the cooperation between its members. On the other hand, the team’s behavior should be disordered enough to mislead its opponent and to maintain enough degrees of freedom. In this paper, we have analyzed this dynamic in the context of soccer games and examined whether it is correlated with the team’s performance. We measured the organization associated with the behavior of a soccer team through the Tsallis entropy of ball passes between the players. Analyzing data taken from the English Premier League (2015/2016), we show that the team’s position at the end of the season is correlated with the team’s entropy as measured with a super-additive entropy index. Moreover, the entropy score of a team significantly contributes to the prediction of the team’s position at the end of the season beyond the prediction gained by the team’s position at the end of the previous season.
topic organization/disorganization
team’s performance
soccer
entropy
url http://www.mdpi.com/1099-4300/20/10/758
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