#### not_kevin

##### Member

So, the naive approach is to simply take the standard deviation of the per-event values - but then cubers who only do a couple events and are somewhat slow are greatly advantaged here. So I thought maybe using a metric like "standard deviation of all non-0 values", but it still greatly rewards slower cubers over faster ones (which isn't bad in and of itself, I guess, but I'd prefer rewarding doing more events more). I thought about standard deviation / overall KinchRank, which would help that, but there's the issue that competitors who do few events are rewarded. I also thought of things like total range of event KinchRanks over overall Kinchrank, but it still runs into similar problems, and also isolates out the best and worst (eg, a competitor who has event KRs of 40 for all but two events, which are at 0 and 100, will have a score of 100; meanwhile, a competitor who evenly has KRs ranging from 0 to 80 would be "more well rounded" by this metric).

Anyone have any thoughts for a good statistic for measuring both well-roundedness and speed?