Hello,
Thanks to everyone who's replied to this thread. It's a bank holiday in the UK today, so I've taken some time to do a deeper analysis of VPIP, based on your comments.
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I think your sample size is a big problem here. 1000 hands, even when its the bottom of the range, is far too small a sample for players. I don't know how big your db is, but you need to expand that part of the graph upwards, to at least 50k.
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Unfortunately my database is too small to contain many players with 50k hands. However, for the purposes of this analysis, 1000 hands is not too small.
If we are analysing a large group of players with 1k hands, then while their individual BB100 scores may be less reliable than if we had 50k of hands for each player, the average BB100 for the group will still be the same.
Also, if we only include playeres with 50k hands, then we add survivorship bias to the results, as we'd only be looking at serious players. Assuming that players average 60 hands an hour, and can play 3 hours night for 5 days a week, it would take them about 56 weeks to play 50k hands. That's about a year. Or if they two table, that's half a year.
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Also, the laggier players are experiencing more variance because their winrates are lower, not because they're playing more hands. This is a common misconception. VPIP/PFR are also not really that closely linked to how good someone is except at the extremes of each stat.
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I've looked at the distribution of players' BB100 statistics for different VPIPs. And unfortunately the results do not match your statement. Below are two charts that show the distribution of players by BB100. One is for players with VPIP from 20 to 25. The other is for players with VPIP from 40-45. Both charts have distributions that are close to the normal distribution
(
http://www.statsdirect.com/help/dist...stribution.htm). Both have a similar mean, though it can be seen the looser chart contains a higher proportion of players at more extreme BB100 values. And it is this that causes the higher variance for looser players, not a lower winrate.
These stats that I've been looking at seem to show that trying to get your vpip into a certain range is not really going to help your play. A loose player is just as likely to win as a tighter player.
Next, I'm going to look at the player types (Poker Office and Poker Tracker have filters to automatically categorise players) to see if there are any interesting patterns there.
Have a good easter,
Jon.