![]() Each group would have VP$IP/PFR/AF - that means that there would be 10 x 10 x 10 = 1000 groups if I divided the stats the same way as in above examples. Now, it would be much better if I could do this with grouping more stats. ( now if you read closely you might notice that 18K * 10 = 180K - does OP only play 3 handed, there should be around 600K hands total, if OP plays 6max? tables No, like I said the majority of players in my DB have less than 100 hands. The samples with VP$IP between GroupMin and GroupMax are in this group.Īll groups countain about the same amount of samples. GroupMin,GroupMax - lower and upper bound of the group. One group for example contains the players who have VPIP between 14 and 17%. For example it takes all the samples from NL50 and NL100 of the players who played more than 50 hands. Let's combine this small samples with similar stats together to create larger samples. The majority of players in my DB played less than 100 hands. ![]() I play on party NL50 and NL100 where players come and go all the time. The first problem I ecountered was small sample sizes. ![]() ![]() With that "many" hands I decided to do some analysis of other player stats in relation to their winrate. I reached 100K hands in my PokerTracker database this week. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |