There were a few things that I immediately noticed about your analysis (that may or may not be entirely accurate since I need to run it myself later tonight). Firstly, why is HJ never calling any KQo combos but calling hands like KJo? Also, having watched some of the LATB streams, I would have to say Andy is definitely calling some hands like QJo and 89o some percentage of the time.
I believe your oop cbet strategy that you provided is completely wrong. Boards like these require a very highly mixed strategy, especially with hands like 4x, and other middling pairs. You have the IP player cbetting 100% of 4x, and 66/77 type hands and also betting every pair at a super high frequency. Many of IP player's hands gain massive EV from raising because we end up having to fold pairs.
A result of your cbetting strategy is that our checking range becomes way too imbalanced. You have us checking AA/KK 50%, which I assume is our range "protection", but this is clearly not enough. We are also checking basically all our non pairs, so IP's clear strategy is to just bet everything when checked to. To succinctly sum up your cbetting strategy, you are betting all pairs for protection/value as well as some bluffs, and checking AA/KK everything else. I don't think we need pio to find an exploit for this strategy.
KQo is being called but KJo folded. Where did you see otherwise?
Also accurately ranging Andy is irrelevant to the video and I also disagree. He flats very wide IP, but this is vs utg and he is HJ.
I believe your oop cbet strategy that you provided is completely wrong. Boards like these require a very highly mixed strategy, especially with hands like 4x, and other middling pairs. You have the IP player cbetting 100% of 4x, and 66/77 type hands and also betting every pair at a super high frequency. Many of IP player's hands gain massive EV from raising because we end up having to fold pairs.
The purpose of the video is not to learn how to exploit cbet strategies. Nor is it to construct an optimal strat for this hand. The purpose is to discover what characteristics and to what degree each factor affects implementable optimal strategy in the pursuit of learning how to in-game customize our strategy to various situations.
As for the cbet strat used in the video, it isn't wrong. It's an arbitrary cbet strat. Our opponent is nemesis so any non gto strat will be suboptimal ie wrong in that sense. The locked cbet strat is a rough approx of what we might encounter, not one we are looking to use unless we deem IP to be playing passive and over folding. If you mean to say that it is flawed and/or exploitable, then yes it certainly is.
We know exactly what the perfect mixed cbet strategy looks like. It is the GTO solution we are using as the baseline. However, that is not realistically implementable. Attempting 10% freq (infrequent) cbet with mixed composition on one particular flop among the myriad of flops we will encounter each optimally requiring a unique cbet strategy is not going to be a wise pursuit.
Despite the fact I in practice chose to impliment a more checking heavy strategy as played, and despite the fact that the example cbet strat is very exploitable, it might do very well vs a typical IP locked strategy. This is investigated in Part 2.
The video aims at showing 2 things:
A) In this specific hand on a dry low flop of 842 even with our strong range pf we should be checking 100%.
B) More importantly, to teach a methodology for deciding when to have a 100% check, a 100% bet, and an implementable mixed strategy of bets and checks.
6:08 when you show andy's range. You have him calling 6 combos of KJo and 0 combos of KQo. Also while we're on this topic, I'm very confused on how you decided Andy's range. Why is he calling 60% of 64s and 54s, but never any combos of 86s? However, I don't know what you mean by "ranging Andy accurately is irrelevant to this video." I might have a fundamental flaw in understanding how pio works, so please bear with me.
My understand of how PIO works is we are locking the preflop branch of the game tree and pio finds us the nash equilibrium strat for both ranges on various board textures and runouts. Doesn't Andy's preflop range matter quite a lot? To use extreme examples, if Andy's range only included 88 for whatever reason, wouldn't pio's solution be completely different than if Andy's range included 100% of hands?
When I ran similar symmetric range scenarios in the past, I also was surprised at how high the checking frq is for the oop player. However, I always chalked it up to the fact that normally the oop PFR has a higher concentration of combnations in the upper left hand corner of the preflop grid. So even though neither of our ranges are capped in a sense, we have considerably more combinations of AK, AQ, AJ, KQ etc that miss 842 board. Is this wrong?
One point that seems critical is that we can simplify GTO strategy in many cases by rounding off small percentages of mixed strategies to one or zero. But it seems critical to include a carefully considered amount of nutty combos in all the ranges (according to the strat) and perhaps even nut-making combos for future streets. It seems one needs to be careful what and where one simplifies. Preserving nuttiness throughout the game tree at thoughtful frequencies is critical in limiting the ability of opponents to exploit us as demonstrated in the video. This prevents unhindered overbets and such.
Yes I agree that the most profound effects are how we play our nutty combos. That said, it does not necessarily mean we have to play our ranges such that we always have some frequency of the nuts. It will be the case often that we are capped mostly and that is ok. It just means in those spots we have a range disadvantage and need to do a lot of checking. We can never seek balance if we sacrifice EV.
Zach,
Thank you for the reply. What I suggested is not what you addressed exactly. When simplifying optimal strategies keep a careful eye on the percentage of nutty and future nut-making combos. Strongly consider conserving something like their percentages in the simplified strategy. I also find the many optimal strategies do include small frequencies of nutty and nut-making combos in many parts the game tree. I do not believe this is wisely neglected and that checking a lot entirely preserves the EV of the optimal. The optimal strat never sacrifices EV of course, so they play that important of a role. I think this point is often overlooked. Being able to punish an opponent even infrequently is extremely valuable and does regulate villain's ability to overbet to a degree. It also allows for exploits as we occasionally have the nuts unexpectedly from villain's POV.
Thank you again, your work is honest and insightful.
Nice vid. Regarding part 2... I think looking at how the EVs of each strategy change when faced with poor counter strategies for IP will be really relevant to live poker, so thanks for that. Also, please include something where you add stack depth in as an extra variable. maybe including some larger turn or river barrells (if you have enough RAM to do so) . I assume X 100% will be MES for OOP if we increase stack size to lets say 500bb (something I'm often dealing with).
I also am interested in seeing how things are affected when very deep. I already created the video but I will post some simulations of deep stack play with potential over bets in the thread when it is released. That said from my experience with running simulations the strategy changes a lot when you are varying stack from medium deep too short but once you hit a threshold of deepness adding another few hundred BB doesn't make much difference
You have him calling 6 combos of KJo and 0 combos of KQo. Also while we're on this topic, I'm very confused on how you decided Andy's range. Why is he calling 60% of 64s and 54s, but never any combos of 86s? However, I don't know what you mean by "ranging Andy accurately is irrelevant to this video." I might have a fundamental flaw in understanding how pio works, so please bear with me.
You are correct. Sorry for missing that. It was unintentional to leave out KQo and 86s at some frequency. That said given its just a few combos of additional air and 4 combos of TP the strategy won't be affected.
When i say accurately ranging Andy isn't important i mean that my goal is not to learn how to play vs Andy. Sure in the context of this hand it would be nice if I inputted his exact range, but any arbitrary range is sufficient given we are trying to learn about how characteristics of range vs range affects strategy. That said I think the inputted range even with the missing combos does an adequate job of modeling his range.
As to your last paragraph, I gave exactly symmetric ranges in one pio sim and it still produced oop high check freq so we can directly attribute that to position and nothing to do with his range.
Yes I completely agree with you that position plays the largest role. And of course, if both ranges are 100% equal, then, oop should check quite often to the IP player. I guess what I was getting at was, even though every hand in our range is also in IP's range, IP has fewer combos of hands that completely miss. We both have AK, but IP has a smaller frq of AK (because he presumably 3b AK). Same with many other hands. Doing some very rough mental math (could be wrong), OOP player has 108/210 combos that flop no pairs, or more than half his range misses completely. Though IP has a symmetric range, he misses roughly 78/178 or 43% which is a huge difference in the grand scheme of things. I was saying this was the reasoning behind pio's high check percentage.
I think what I'm getting at is if you begin to mold IP's range towards fewer preflop slowplays, more hands like 80% of KQo, 25% of QJ/JTo etc (which I frequently see at live 5/10 and 10/20 though your experience is much more extensive than mine), we will begin to see a growing oop bet frequency. I have always thought that the preflop portion of the game tree was the most important when conducting pio analysis because it has the most margin of human error. Though it may not matter a huge deal (like you correctly pointed out) in this exact scenario, in spots where ranges are much narrower (for example 3b/4b pots), small range mistakes could drastically affect the outcome of pio's analysis.
However, now that I am rewatching your video, I realize this discussion really digresses from the true intention of your video, which are the factors that cause high check frequencies. Sorry for digressing! :)
My guess is that if we constricted our bet size to 25% we would be betting more often but I'd be surprised if it made us bet a lot more.
If we gave option of 2 different sizes, 25% and 60% I think we would see some smaller bets with hands like AK, and bottom pair, for protection with a dab of strong hands for balance.
The reason sizing won't just switch our strategy from checking a lot to betting a lot is because all the reasons we check are still there: OOP, nominal to 0 equity advantage, inferior nut frequency. Making a smaller bet will be less of a mistake than a large bet yet still a mistake compared to checking.
That said the above is only my guess. I will run it if I find the time.
I think one issue with your analysis of the 76s hand when you don't bet is that you show rightfully so that we lose $30 of EV with 76s since the best response is to liberally raise vs your c-bet strategy denying you equity. After spending some time with PIO and node locking you quickly realize that c-bet strategies can often be as high or higher EV against opponents that don't correctly exploit you for having a wide c-betting range here and not raising at a large frequency. I think it's important to node lock what you think his response will be (even if we think he will raise quite a bit but not anywhere near 40%) vs your c-bet as I think even times you find that the most aggro of players in spots don't even employ as heavily as a raise strat as PIO suggests. The cool thing about this analysis is that you now know if the tables were flipped you can just liberally raise vs someone that c-bets this spot wide (falls in line with a lot of live cash game players and MTT players).
I ran pretty much the exact simulation as you did where I got 143 for OOP Equity and then changed his raising strat to raising this board 15% of the time and you see that it goes back up into the 170s.
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There were a few things that I immediately noticed about your analysis (that may or may not be entirely accurate since I need to run it myself later tonight). Firstly, why is HJ never calling any KQo combos but calling hands like KJo? Also, having watched some of the LATB streams, I would have to say Andy is definitely calling some hands like QJo and 89o some percentage of the time.
I believe your oop cbet strategy that you provided is completely wrong. Boards like these require a very highly mixed strategy, especially with hands like 4x, and other middling pairs. You have the IP player cbetting 100% of 4x, and 66/77 type hands and also betting every pair at a super high frequency. Many of IP player's hands gain massive EV from raising because we end up having to fold pairs.
A result of your cbetting strategy is that our checking range becomes way too imbalanced. You have us checking AA/KK 50%, which I assume is our range "protection", but this is clearly not enough. We are also checking basically all our non pairs, so IP's clear strategy is to just bet everything when checked to. To succinctly sum up your cbetting strategy, you are betting all pairs for protection/value as well as some bluffs, and checking AA/KK everything else. I don't think we need pio to find an exploit for this strategy.
Edit: I meant to say you have oop player cbetting 100% of 4x 66/77
KQo is being called but KJo folded. Where did you see otherwise?
Also accurately ranging Andy is irrelevant to the video and I also disagree. He flats very wide IP, but this is vs utg and he is HJ.
The purpose of the video is not to learn how to exploit cbet strategies. Nor is it to construct an optimal strat for this hand. The purpose is to discover what characteristics and to what degree each factor affects implementable optimal strategy in the pursuit of learning how to in-game customize our strategy to various situations.
As for the cbet strat used in the video, it isn't wrong. It's an arbitrary cbet strat. Our opponent is nemesis so any non gto strat will be suboptimal ie wrong in that sense. The locked cbet strat is a rough approx of what we might encounter, not one we are looking to use unless we deem IP to be playing passive and over folding. If you mean to say that it is flawed and/or exploitable, then yes it certainly is.
We know exactly what the perfect mixed cbet strategy looks like. It is the GTO solution we are using as the baseline. However, that is not realistically implementable. Attempting 10% freq (infrequent) cbet with mixed composition on one particular flop among the myriad of flops we will encounter each optimally requiring a unique cbet strategy is not going to be a wise pursuit.
Despite the fact I in practice chose to impliment a more checking heavy strategy as played, and despite the fact that the example cbet strat is very exploitable, it might do very well vs a typical IP locked strategy. This is investigated in Part 2.
The video aims at showing 2 things:
A) In this specific hand on a dry low flop of 842 even with our strong range pf we should be checking 100%.
B) More importantly, to teach a methodology for deciding when to have a 100% check, a 100% bet, and an implementable mixed strategy of bets and checks.
6:08 when you show andy's range. You have him calling 6 combos of KJo and 0 combos of KQo. Also while we're on this topic, I'm very confused on how you decided Andy's range. Why is he calling 60% of 64s and 54s, but never any combos of 86s? However, I don't know what you mean by "ranging Andy accurately is irrelevant to this video." I might have a fundamental flaw in understanding how pio works, so please bear with me.
My understand of how PIO works is we are locking the preflop branch of the game tree and pio finds us the nash equilibrium strat for both ranges on various board textures and runouts. Doesn't Andy's preflop range matter quite a lot? To use extreme examples, if Andy's range only included 88 for whatever reason, wouldn't pio's solution be completely different than if Andy's range included 100% of hands?
When I ran similar symmetric range scenarios in the past, I also was surprised at how high the checking frq is for the oop player. However, I always chalked it up to the fact that normally the oop PFR has a higher concentration of combnations in the upper left hand corner of the preflop grid. So even though neither of our ranges are capped in a sense, we have considerably more combinations of AK, AQ, AJ, KQ etc that miss 842 board. Is this wrong?
Good to see some PIO examples of live play vs different opponents. Keep it going! :)
GL
Zach,
Thank you for a thoughtful video.
One point that seems critical is that we can simplify GTO strategy in many cases by rounding off small percentages of mixed strategies to one or zero. But it seems critical to include a carefully considered amount of nutty combos in all the ranges (according to the strat) and perhaps even nut-making combos for future streets. It seems one needs to be careful what and where one simplifies. Preserving nuttiness throughout the game tree at thoughtful frequencies is critical in limiting the ability of opponents to exploit us as demonstrated in the video. This prevents unhindered overbets and such.
Sincerely
Brian
Yes I agree that the most profound effects are how we play our nutty combos. That said, it does not necessarily mean we have to play our ranges such that we always have some frequency of the nuts. It will be the case often that we are capped mostly and that is ok. It just means in those spots we have a range disadvantage and need to do a lot of checking. We can never seek balance if we sacrifice EV.
Zach,
Thank you for the reply. What I suggested is not what you addressed exactly. When simplifying optimal strategies keep a careful eye on the percentage of nutty and future nut-making combos. Strongly consider conserving something like their percentages in the simplified strategy. I also find the many optimal strategies do include small frequencies of nutty and nut-making combos in many parts the game tree. I do not believe this is wisely neglected and that checking a lot entirely preserves the EV of the optimal. The optimal strat never sacrifices EV of course, so they play that important of a role. I think this point is often overlooked. Being able to punish an opponent even infrequently is extremely valuable and does regulate villain's ability to overbet to a degree. It also allows for exploits as we occasionally have the nuts unexpectedly from villain's POV.
Thank you again, your work is honest and insightful.
Nice vid. Regarding part 2... I think looking at how the EVs of each strategy change when faced with poor counter strategies for IP will be really relevant to live poker, so thanks for that. Also, please include something where you add stack depth in as an extra variable. maybe including some larger turn or river barrells (if you have enough RAM to do so) . I assume X 100% will be MES for OOP if we increase stack size to lets say 500bb (something I'm often dealing with).
I also am interested in seeing how things are affected when very deep. I already created the video but I will post some simulations of deep stack play with potential over bets in the thread when it is released. That said from my experience with running simulations the strategy changes a lot when you are varying stack from medium deep too short but once you hit a threshold of deepness adding another few hundred BB doesn't make much difference
Depolarizing,
You are correct. Sorry for missing that. It was unintentional to leave out KQo and 86s at some frequency. That said given its just a few combos of additional air and 4 combos of TP the strategy won't be affected.
When i say accurately ranging Andy isn't important i mean that my goal is not to learn how to play vs Andy. Sure in the context of this hand it would be nice if I inputted his exact range, but any arbitrary range is sufficient given we are trying to learn about how characteristics of range vs range affects strategy. That said I think the inputted range even with the missing combos does an adequate job of modeling his range.
As to your last paragraph, I gave exactly symmetric ranges in one pio sim and it still produced oop high check freq so we can directly attribute that to position and nothing to do with his range.
Yes I completely agree with you that position plays the largest role. And of course, if both ranges are 100% equal, then, oop should check quite often to the IP player. I guess what I was getting at was, even though every hand in our range is also in IP's range, IP has fewer combos of hands that completely miss. We both have AK, but IP has a smaller frq of AK (because he presumably 3b AK). Same with many other hands. Doing some very rough mental math (could be wrong), OOP player has 108/210 combos that flop no pairs, or more than half his range misses completely. Though IP has a symmetric range, he misses roughly 78/178 or 43% which is a huge difference in the grand scheme of things. I was saying this was the reasoning behind pio's high check percentage.
I think what I'm getting at is if you begin to mold IP's range towards fewer preflop slowplays, more hands like 80% of KQo, 25% of QJ/JTo etc (which I frequently see at live 5/10 and 10/20 though your experience is much more extensive than mine), we will begin to see a growing oop bet frequency. I have always thought that the preflop portion of the game tree was the most important when conducting pio analysis because it has the most margin of human error. Though it may not matter a huge deal (like you correctly pointed out) in this exact scenario, in spots where ranges are much narrower (for example 3b/4b pots), small range mistakes could drastically affect the outcome of pio's analysis.
However, now that I am rewatching your video, I realize this discussion really digresses from the true intention of your video, which are the factors that cause high check frequencies. Sorry for digressing! :)
Hi Zach,
Do you think restricting your cbet size to 60% pot instead of a smaller size made Pio want to check more hands?
Wouldn't it be better to cbet 100% with a much smaller sizing (i.e. 25%)?
Thanks.
My guess is that if we constricted our bet size to 25% we would be betting more often but I'd be surprised if it made us bet a lot more.
If we gave option of 2 different sizes, 25% and 60% I think we would see some smaller bets with hands like AK, and bottom pair, for protection with a dab of strong hands for balance.
The reason sizing won't just switch our strategy from checking a lot to betting a lot is because all the reasons we check are still there: OOP, nominal to 0 equity advantage, inferior nut frequency. Making a smaller bet will be less of a mistake than a large bet yet still a mistake compared to checking.
That said the above is only my guess. I will run it if I find the time.
Looks like very little changes when we offer the option of betting small.
thanks for your quick and informative reply
Zach,
I think one issue with your analysis of the 76s hand when you don't bet is that you show rightfully so that we lose $30 of EV with 76s since the best response is to liberally raise vs your c-bet strategy denying you equity. After spending some time with PIO and node locking you quickly realize that c-bet strategies can often be as high or higher EV against opponents that don't correctly exploit you for having a wide c-betting range here and not raising at a large frequency. I think it's important to node lock what you think his response will be (even if we think he will raise quite a bit but not anywhere near 40%) vs your c-bet as I think even times you find that the most aggro of players in spots don't even employ as heavily as a raise strat as PIO suggests. The cool thing about this analysis is that you now know if the tables were flipped you can just liberally raise vs someone that c-bets this spot wide (falls in line with a lot of live cash game players and MTT players).
I ran pretty much the exact simulation as you did where I got 143 for OOP Equity and then changed his raising strat to raising this board 15% of the time and you see that it goes back up into the 170s.
https://gyazo.com/d3b9d4536466376f02041d196ac6eb36
Here is the raise strat I was using which for some players which is actually quite a liberal raising range in their mind.
https://gyazo.com/98548d10036dd1f37342cefdd0fcce62
Probably should of waited to comment, but i'll leave it anyway. Looks like this is part 2 :)
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