  In this paper, we describe an approach to rank sport players based on their
efficiency. Although is extremely useful to analyze the performance of team
games there is no unanimity on the use of a single index to perform such a
ranking. We propose a method to summarize the huge amount of information
collected at different aspects of a sport team which is almost daily publicly
available. The tool will allow agents involved in a player's negotiation to
show the strengths (and weaknesses) of the player with respect to other
players. The approach is based on applying a multicriteria outranking
methodology using as alternatives the potential players and criteria different
efficiency indices. A novel automatic parameter tuning approach is detailed
that will allow coaches and sports managers to design templates and sports
strategies that improve the efficiency of their teams. We report the results
performed over the available information on the ACB Basketball League, and we
show how it can be easily implemented and interpreted in practice by
decision-makers non familiar with the mathematical side of the methodology.
