This is the second of two papers on ordering, ranking and seeding players and teams in sport. Such orderings
may be used for player selection, seeding, handicapping, player progress evaluation and for predicting match
and tournament outcomes. KAN-Soft data for eight of the top male tennis players is used in a simulation study
to explore various ranking systems. These ranking systems rely on historical relative frequencies for pairwise
performance in the context of two scoring systems and three tournament structures. Of special interest is the
sensitivity of the rankings to individual cases