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If you look at the site, you might just notice the errors ;-) That's because I ran out of Datastore Read quota. I think it's because of the batch rankings - before them I never even got to 20% of read quota. So I've changed batch rankings to every 6 hours, so in about 17 hours the quota will reset and we can see how it works =)

Since I'm only doing updates once every 6 hours I should have lots of quota for long, tedious calculations. So I'll whip up a KNN-based PBI over the next few days to see how it does. Any ideas on how to calculate K? How about sqrt(participants)?

It seems we have similar ideas about 'max improvement indexes'. Thinking further on my comment above about my %pair/(%worst pair) idea, I'm thinking about an interesting new ranking system that I'd like to call 'Average Normalised Percentage Pairs' or ANPP. Each bot normalises all of their pairings by subtracting the min score and then dividing by (max - min). Your score is than calculated as the average of your pairing against each (100 - enemy normalised score). Thus, if the best anybody does is 75% against a rambot, and the worst anybody does is 30%, 30% will be treated as 0 and 75% treated as 100%. This would make it very easy to see problembots, as if your NPP against them is less than your average NPP, you should focus on them more. Thus, the worst bot against everybody would get 0%, and the best bot against everybody would get 100%.