Quantifying the Performance of Individual Players in a Team Activity

Background Teamwork is a fundamental aspect of many human activities, from business to art and from sports to science. Recent research suggest that team work is of crucial importance to cutting-edge scientific research, but little is known about how teamwork leads to greater creativity. Indeed, for many team activities, it is not even clear how to assign credit to individual team members. Remarkably, at least in the context of sports, there is usually a broad consensus on who are the top performers and on what qualifies as an outstanding performance. Methodology/Principal Findings In order to determine how individual features can be quantified, and as a test bed for other team-based human activities, we analyze the performance of players in the European Cup 2008 soccer tournament. We develop a network approach that provides a powerful quantification of the contributions of individual players and of overall team performance. Conclusions/Significance We hypothesize that generalizations of our approach could be useful in other contexts where quantification of the contributions of individual team members is important.

[1]  Leonard M. Freeman,et al.  A set of measures of centrality based upon betweenness , 1977 .

[2]  S. Rosen The Economics of Superstars , 1981 .

[3]  Edward Rolf Tufte,et al.  The visual display of quantitative information , 1985 .

[4]  Daniel B. Carr,et al.  The Visual Display of Quantitative Information , 1987 .

[5]  John Scott What is social network analysis , 2010 .

[6]  John Scott Social Network Analysis , 1988 .

[7]  Edward R. Tufte Visual explanations: images and quantities, evidence and narrative , 1997 .

[8]  M. L. Mitchell,et al.  Visual Explanations: Images and Quantities, Evidence and Narrative , 1997 .

[9]  Mike Hughes,et al.  Analysis of passing sequences, shots and goals in soccer , 2005, Journal of sports sciences.

[10]  Roger Guimerà,et al.  Team Assembly Mechanisms Determine Collaboration Network Structure and Team Performance , 2005, Science.

[11]  Tom Fawcett,et al.  An introduction to ROC analysis , 2006, Pattern Recognit. Lett..

[12]  David R. Brillinger A Potential Function Approach to the Flow of Play in Soccer , 2007 .

[13]  Benjamin F. Jones,et al.  Supporting Online Material Materials and Methods Figs. S1 to S3 References the Increasing Dominance of Teams in Production of Knowledge , 2022 .

[14]  John Whitfield,et al.  Collaboration: Group theory , 2008, Nature.

[15]  J. Katzenbach,et al.  The Wisdom of Teams , 2010 .

[16]  Tom A. B. Snijders,et al.  Social Network Analysis , 2011, International Encyclopedia of Statistical Science.