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This is my current homework for myself, but I think its a pretty good idea for all players to do something like it now and again so feel free to try it yourself. If you do, let me know how it works out for you!
1. Go through my database of hands from the last few months at 10/20nl and 25/50nl and find the players against whom I play the most (or at least have the most data mined on).
2. Sort all of their hands by size, and pick out the biggest losing hands (principally, those when they lost stacks)
3. Distribute the data in a spreadsheet, sorted by mechanism (cooler, couldnt fold a loser, bluffed it off, bad beat, etc.)
I’ll then have available a list of their most likely weaknesses, catalogued by relative frequency (note: sample sizes will probably be too small for this, but I think any data is useful data)
Then, once i’ve got that all made, I can take a look at it before I start playing a given table, to see how I should set up hands against these particular opponents. I think it’ll be a good accompaniment to a HUD, but we’ll see. At the very least, i’ll probably get a better idea of who’s a better regular and who has some real leaks.
Sensei's Poker Dojo
good idea, i'd love to do this but my player pool is way too large I think at 1/2.
Also, homework #2 should be to get better at COD4!
-imnotblacklol
I am getting better! I'm a veteran halo player, so its taking time to adjust to dying so quickly and so often. I'm getting there though.
Can you then show us some fancy graphs? I'm interested to see distribution of reasons players at high stakes are losing big pots. Hope your sample size is big enough for a graph or two ;).
This sounds like a great idea. However, it won't take me long to sort through my non-existent NLHE database. Can you suggest anything comparable for a LHE player?
I'm worried that the sample size problem you point out will be exacerbated as I rarely see a given player ever again, but I still think the activity could be educational. The result may be as simple as 'losing players tend to call too often,' but I still think that'd be good information. At the least it would serve as more reinforcement to play correctly and take betting lines to exploit that weakness in an average bad player.
This sounds like a great idea. However, it won't take me long to sort through my non-existent NLHE database. Can you suggest anything comparable for a LHE player?
I'm worried that the sample size problem you point out will be exacerbated as I rarely see a given player ever again, but I still think the activity could be educational. The result may be as simple as 'losing players tend to call too often,' but I still think that'd be good information. At the least it would serve as more reinforcement to play correctly and take betting lines to exploit that weakness in an average bad player.
Hmmm... No, I don't really have any idea how to conduct a similar study for limit, since the pots tend to be much closer together in size. But since so many more hands showdown in limit, I bet pokerEV would be more useful for telling you which spots certain players are losing a lot of equity in.
As for playing the same guys often, I suspect thats mostly a function of the stakes I play. At lower stakes you're right, you probably see a lot more unknowns all the time, but at the higher stakes the pool of players is much smaller, consisting of a core of (mostly solid) regulars and then whatever fish are fueling the games. I think that playing against so many of the same players who are generally solid (but who all have leaks somewhere) is the best reason for such an exercise.
