proud2bBot wrote:
Thats what I understood, too. The question is: how do you define the category. As I understood it, you are clustering players according to some preflop or postflop stats.
Thanks, I understand your concern now. Yes you are right, the plan is to cluster by stats (didn't choose the concrete stats yet).
proud2bBot wrote:
For instance, Assume preflop and we have 2 players with exact same VPIP/PFR/3b stats. Both 3b 8%, but P1 does it with a polarized range while P2 uses an unpolarized range - you would merge this together, right?
As with your example, I'm thinking about it this way: consider these players have the same 3bet, vpip and pfr, but different cbet and donkbet, so they will end up in different clusters. I might be wrong here, but I believe that if we take an appropriate set of stats the resulting clusters shoul have pretty much similarly acting players.
winnie wrote:
you can easiliy do it this way and categorize you opponents by stats. Afterwards adding some weighting factors (e.g. you see opponentX calling with small Suited Connectors) and let this influence your predictions to receive a more accurate range.
proud2bBot wrote:
And my point was that this doesn't work well, as stats are an aggregate from which you cannot really infer the strategy too well.
Any of you guys already tried to implement something similar?