Re: Minimal observed hands to identify a loose player
This is a pretty slick analysis Python -- thanks.
I'm often frustrated when people say <X hands is a meaningless read. This gives some evidence that, for example, someone who's seen 1/2 the flops in your first orbit at a (10 handed) table has about a 95% chance of being a +30 VPIP. This helps validate my intuition.
Can you do the same thing with aggression?
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