General network analysis of national soccer teams in FIFA World Cup 2014

This study analyzed the network characteristics of successful and unsuccessful national teams that participated in FIFA World Cup 2014. The relationship between the variables of overall team performance and the network characteristics measured on the basis of the passes between teammates was also investigated. A dataset of 37,864 passes between teammates in 64 soccer matches enabled the study on network structure and team performance of 32 national soccer teams. Our results showed significant differences in the dependent variables of network density (F4,123 = 2.72; p = 0.03; η2p = 0.04; small effect size) and total links (F4,123 = 2.73; p = 0.03; η2p = 0.04; small effect size) between the teams that reached the later stages of the tournament. Goals scored presented a small positive correlation with total links (r = 0.24; p = 0.001), network density (r = 0.24; p = 0.001), and clustering coefficient (r = 0.17; p > 0.050). High levels of goals scored were associated with high levels of total links, network density, and clustering coefficient. This study showed that successful teams have a high level of network density, total links, and clustering coefficient. Thus, large values of connectivity between teammates are associated with better overall team performance.

[1]  Gary W. Heiman,et al.  Basic statistics for the behavioral sciences , 2002 .

[2]  I. Couzin,et al.  Effective leadership and decision-making in animal groups on the move , 2005, Nature.

[3]  Linda D. Molm,et al.  Dependence and risk: transforming the structure of social exchange , 1994 .

[4]  Julie Pallant,et al.  SPSS survival manual : a step by step guide to data analysis using SPSS for Windows , 2001, Behaviour Change.

[5]  Peter O’Donoghue,et al.  Statistics for Sport and Exercise Studies: An Introduction , 2012 .

[6]  José António Tenreiro Machado,et al.  Dynamical Stability and Predictability of Football Players: The Study of One Match , 2014, Entropy.

[7]  J F Gréhaigne,et al.  Dynamic-system analysis of opponent relationships in collective actions in soccer. , 1997, Journal of sports sciences.

[8]  Keith Davids,et al.  Sports teams as superorganisms: implications of sociobiological models of behaviour for research and practice in team sports performance analysis. , 2012, Sports medicine.

[9]  Ian M Franks,et al.  Sport competition as a dynamical self-organizing system , 2002, Journal of sports sciences.

[10]  A. Scoulding,et al.  Passing in the Soccer World Cup 2002. , 2004 .

[11]  Keith Davids,et al.  Applications of Dynamical Systems Theory to Football , 2003 .

[12]  Thomas U. Grund,et al.  Network structure and team performance: The case of English Premier League soccer teams , 2012, Soc. Networks.

[13]  G. Robins,et al.  The Application of Social Network Analysis to Team Sports , 2010 .

[14]  D. Harrison,et al.  TIES, LEADERS, AND TIME IN TEAMS: STRONG INFERENCE ABOUT NETWORK STRUCTURE'S EFFECTS ON TEAM VIABILITY AND PERFORMANCE , 2006 .

[15]  T. Reilly,et al.  Applications of Dynamical Systems Theory to Football , 2005 .

[16]  Stanley Wasserman,et al.  Social Network Analysis: Methods and Applications , 1994, Structural analysis in the social sciences.

[17]  C. Sève,et al.  Team Coordination in Basketball: Description of the Cognitive Connections Among Teammates , 2010 .

[18]  Dieter Armbruster,et al.  Basketball Teams as Strategic Networks , 2012, PloS one.

[19]  Gemma Robinson,et al.  A weighted kappa statistic for reliability testing in performance analysis of sport , 2007 .

[20]  Duncan J. Watts,et al.  Collective dynamics of ‘small-world’ networks , 1998, Nature.

[21]  Thomas Reilly,et al.  Handbook of Soccer Match Analysis: A Systematic Approach to Improving Performance , 2006 .

[22]  Filipe Manuel Clemente Study of Successful Teams on FIFA World Cup 2010 through Notational Analysis , 2012 .

[23]  Pedro Malta,et al.  Caraterização da transição defesa-ataque de uma equipa de Futebol , 2014 .

[24]  J. Duch,et al.  Quantifying the Performance of Individual Players in a Team Activity , 2010, PloS one.

[25]  D. Araújo,et al.  Networks as a novel tool for studying team ball sports as complex social systems. , 2011, Journal of science and medicine in sport.

[26]  Raymond T. Sparrowe,et al.  Social Networks and the Performance of Individuals and Groups , 2001 .