You learn UnrealScript mainly by reading other people's code. Removing code without an important reason (download size reduction and lack of helpfulness are not important in that sense) is extremely antisocial IMHO.

TrueSkill aims to generalize Elo to games with teams of more than one player, and potentially more than two teams.

It is a Bayesian method which models each playerâ€™s skill not by a single value, but by a normal distribution of belief. Players are assigned a mean and a variance for their skill. As players win and lose games these beliefs are updated. Wins and losses shift a playerâ€™s mean skill up and down; outcomes consistent with predictions decrease variance (increase confidence), whereas inconsistent outcomes increase variance

All Good! I have started reading the literature and I came up with and idea:"What if at the end of each game, during mapvote say, we ask for the feedback from all players, essentially if they feel the game they played was balanced?"

I had a look at all the stats captured to date and tried various things. The points/hour average is pretty accurate in spotting the better players. Duke was the exception. He caps a lot but his scores aren't that high.