Right now, it's only keeping track of the mistakes where you pick a play which you should pick 0% of the time (for example, you should fold or raise but never call). These kinds of mistakes may not be quite as rare as you would think. For example, today, over about 1400 hands played against the bot, players have lost about 1350 in expected value by making these kinds of pure mistakes. This amounts to about 48 big blinds per 100 hands. (Granted, people might be playing haphazardly and not trying to play perfectly.)
I am currently thinking about how to also measure mistakes which involve the player's distribution of choices when the best play is a mixed strategy. One possibility is to keep track of the player's distribution over time. This would probably require too large of a sample size, so one possibility would be to merge similar situations in the game tree when assessing this kind of mistake. Another possibility is to have the player somehow actually choose a mixed strategy when making a decision.
I am currently thinking about how to also measure mistakes which involve the player's distribution of choices when the best play is a mixed strategy. One possibility is to keep track of the player's distribution over time. This would probably require too large of a sample size, so one possibility would be to merge similar situations in the game tree when assessing this kind of mistake. Another possibility is to have the player somehow actually choose a mixed strategy when making a decision.