Figure 2. Validity of the flow centrality metric.

We define team performance as the mean normalized log flow centrality of the top players in a team. (A) Cumulative distribution of for matches where the team with highest performance wins, loses, or “not wins”. Clearly, the mean is much larger for games in which team with the highest performance wins. We use Monte Carlo methods with boostrapping to determine the significance of the differences in means for the different match outcomes. The red lines indicate the observed difference in whereas the blue curves are the distribution of measured differences for the null hypothesis. (B) We find that there is no statistically significant difference in when comparing “Loss” versus “Not Win” outcomes. In contrast, we find highly significant differences when comparing (C) “Win” versus “Loss” or (D) “Win” versus “Not Win”.