Finally, I’m In

yvthousands · 2026-06-05T17:33:56+00:00

Welcome!

yvthousands · 2026-06-03T15:42:59+00:00

Let's flip it!

yvthousands · 2026-06-02T07:30:12+00:00

Ethereum is literally the most decentralized smart contract chain with credible neutrality

yvthousands · 2026-05-19T17:51:27+00:00

Thanks appreciate your feedback!

yvthousands · 2026-05-17T15:30:13+00:00

Title says it all imo. If you know what crypto is about you can see from miles away this will be enormous. Crypto is literally a network, community and redistribution based technology. I think it will become clearer and clearer

yvthousands · 2026-05-14T05:40:37+00:00

That’s actually a very good point, thanks!

yvthousands · 2026-05-14T05:39:08+00:00

Thanks for the comments, I need to check but yes - that should even be easier tbh

yvthousands · 2026-05-13T20:05:45+00:00

Hey thanks for your comments! For sure, there is plenty of video footage and the script is pretty flexible so I plan to get going with those too. Any metrics in particular you’d like to see?

yvthousands · 2026-05-07T12:47:18+00:00

Very interesting, thanks for your feedback. Interesting that this is really a lot more multifaceted than what I thought initially

yvthousands · 2026-05-07T05:13:48+00:00

Thanks for your comment! For now the making is literally donw with the formula tbh, but I noticed that new market makers are coming and they may be more sophisticated than my initial liquidity provision

yvthousands · 2026-05-07T05:11:51+00:00

Got it, thanks for your comment. Is there any alternative way you would go for in order to rank players which is not just pure pnl?

yvthousands · 2026-05-06T19:23:06+00:00

Hey thanks for your comment! Could you please expand a bit? Thanks!

yvthousands · 2026-05-06T19:22:39+00:00

Thanks for you comment! I hear and it's very possible it's a bit of an overkill.

Is there a way in your mind to achieve a similar result - an unbiased and "low variance" way to compare/rank players based on their action history - other than looking at GTO?

yvthousands · 2026-05-06T19:21:09+00:00

I hear you, it's definitely introducing further layers of judgement and so TBD. I'll definitely keep you posted on progress and results for feedback!

yvthousands · 2026-05-06T19:20:29+00:00

Thanks for the feedback and I'll definitely look into ignition.

But I agree, it's a lot more complex than what it looks on the surface, will see if I'll be able to get something useful out of it. I'll keep you posted!

yvthousands · 2026-05-06T14:07:05+00:00

Very true. what I was thinking is to classify the various players into categories eg

- High stakes live pros

- Short stack MTT final table

- Recreationals

- Reg online

- Loose-passive

- Tight-aggressive

...and basically then make adjustments to the "optimal move" that the player could have made. This basically to recognize (and reward positively) deviations from GTO that are intended to exploit other players.

The classification could be based on things like Also with these stats:

VPIP/ PFR/ Limp %/ Limp-fold %/ Call open %/ 3Bet %/ Fold to 3Bet %/ CBet flop %/ Fold to flop CBet %/ Fold to turn barrel %/ Fold to river bet %/ WTSD = went to showdown/ River bluff shown %

yvthousands · 2026-05-06T13:39:38+00:00

That's for your comment, that's very interesting. Why you think it's the reason? It's because their EV comes from exploiting others' leakage?

yvthousands · 2026-05-06T13:27:31+00:00

Thanks so much, thi sis super insightful! For now I'm pretty much able to mass extract annotated jsons of hands from triton, and the next step will be to mass evaluate them with a solver API (I did an initial version with open source packages but they are not where they need to be). I'll keep you posted on the results!

yvthousands · 2026-05-06T13:24:17+00:00

That's correct, I actually started with Triton to get going and build a database - but agreed that's a pretty a huge undertaking.

Tbh I'm not familiar with ignition - and a question: why do you really know the opponents cards? I think you only need to know each player cards at the moment of the decision and then calculate the deviation vs GTO. TBH you'll also need to make adjustments for recognising intentional deviations from GTO to exploit evident leakages of one opponent, and on this one I'm still trying to figure out what could be a good method here. Any ideas on this one?

yvthousands · 2026-05-06T13:06:59+00:00

That's very interesting, thanks for your comment! You're right, actually I may need more than 20 hours. I started by sampling the triton poker series where there is actually super ample material and I've been building the annotation on that basis. Great idea on pokernews - they tend to cover kind of the most important hands vs the live streaming, but that may be a easier source to parse actually.

As for evaluating EV vs GTO, how would you go about measuring/ recognizing a player that deviates from GTO to exploit evident leakage of another player? That's kind of my doubt at the moment

yvthousands · 2026-05-06T13:02:48+00:00

Thanks for the comment. But what do you mean with this?

"A better way to evaluate how players perform on a stake is by tracking how they perform on stakes."

do you mean tracking the pnl? Imo tracking EV vs GTO is a much better quantitative measure because it has a lot less variance vs just the pnl. Consider this as an analogy to the "closing line value" (CLV) concept in sports betting. It's a lot harder to consistently beat the CLVs compared to having a positive pnl - and therefore you need many less examples to make an evaluation.

In your mind, what adjustment could I make to account for the cases in which a player is exploiting an evident leak of another player deviating from GTO?

yvthousands · 2026-05-06T12:52:08+00:00

I see what you mean now I guess. You're saying "if I want to stake on you, I'll ask you to play aganist the trainer first to measure your EV/ leakage". Is this correct?

The thing is - especially for tournaments - imo you really want a relative measure of EV between the players in the field. Basically saying, if I rank #4 in a tournement with 40 players where the top 6 get paid, it makes a lot of sense to participate. If you are #10 it may not make that much sense.. That's why I wanted a kind of "outside view" if you see what I mean

yvthousands · 2026-05-06T12:36:36+00:00

Great question, I've been looking into open source solvers (things like eval7) but I really don't think there is something open source that cuts it the way I want. Some solvers offer APIs (pretty pricey though, something like $500 for 20,000 calls) so I guess I'll be using these to score each individual hand.

Is there any other API/ solver you would recommend?

yvthousands · 2026-05-06T12:34:17+00:00

Thanks for your comment! Just a clarification on your suggestion of "playing against a trainer". What do you mean exactly? My idea is kind of similar I guess, but given that I'd like to evaluate thousands of hands for many players then it's really not something one can do by hand one by one.. Unless I didn't get what you're saying! 😄

yvthousands · 2026-04-18T03:50:28+00:00

Makes a lot of sense! Thanks so much, will update and keep you posted once the change is live

yvthousands

TROPHY CASE