Other possibilities, such as using the median, have been suggested for computing the consensus. The standard deviation in ranking for each team is listed to show how much agreement exists regarding the ranking of a particular team. I prefer not to get into such arguments, but two relevant measures that reveal certain fundamental properties of a ranking system are presented. First, the Correlation between a ranking and the consensus measures how well that particular ranking matches the other systems. A low correlation indicates a more unique ranking that goes against the mainstream.
High correlations indicate a well-balanced system that mostly agrees with the consensus.
Currently the listing of rankings is sorted by correlation to consensus. For example if team A beat team B, but ranking system X has B ranked higher than A, then that is a violation. This is basicly an indication of how well a system explains past results.