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Team Sports Performance Analysed Through the Lens of Social Network Theory: Implications for Research and Practice
TLDR
This paper discusses how social network analyses and graph theory can be implemented in team sports performance analyses to evaluate individual (micro) and collective (macro) performance data, and how to use this information for designing practice tasks. Expand
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Network analysis and intra-team activity in attacking phases of professional football
In this study we sought to verify whether network analyses could be used to identify key players in attacking phases of a professional football match and establish the main interactions andExpand
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The Role of Hypernetworks as a Multilevel Methodology for Modelling and Understanding Dynamics of Team Sports Performance
TLDR
We examine the relevance of network sciences, as a sub-discipline of complexity sciences, for studying the dynamics of relational structures of sports teams during practice and competition. Expand
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Exploiting Bi-Directional Self-Organizing Tendencies in Team Sports: The Role of the Game Model and Tactical Principles of Play
Research has revealed how inherent self-organizing tendencies in athletes and sports teams can be exploited to facilitate emergence of dynamical patterns in synergy formation in sports teams. Here,Expand
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Changing Rules and Configurations During Soccer Small-Sided and Conditioned Games. How Does It Impact Teams’ Tactical Behavior?
The present study aimed to investigate how team’s tactical behavior varies within and between age categories in different Small-Sided and Conditioned Games’ configurations and conditions. TwentyExpand
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An ecological dynamics rationale to explain home advantage in professional football
Despite clear findings, research on home advantage in team sports lacks a comprehensive theoretical rationale for understanding why this phenomenon is so compelling. The aim of this study was toExpand
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A multilevel hypernetworks approach to capture meso-level synchronisation processes in football
TLDR
We investigated meso-level coordination tendencies, as a function of ball-possession (attacking/defending), field-direction (longitudinal/lateral) and teams (Team A/Team B). Expand
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Networks and centroid metrics for understanding football
This study aimedto verifythe network of contacts resulting from the collective behaviour of professional football teams through the centroid method and networks as well, therebyproviding detailedExpand
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A multilevel hypernetworks approach to capture properties of team synergies at higher complexity levels
TLDR
We show how multilevel hypernetworks comprise an innovative methodological framework that can successfully capture key properties of synergies, clarifying conceptual issues concerning team collective behaviours based on team synergy formation. Expand
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The Golden Index: A classification system for player performance in football attacking plays
TLDR
In this study, a formula called the Golden Index was developed that calculates a value for each player according to their individual and collective performances. Expand
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