Top GTO Wizard Features

the Pros Prioritize

(and What They Leave Out)

In this roundtable series, I have been asking GTO Wizard content creators about some of the software’s best and most surprising features. In an attempt to see what world-class coaches prioritise and to find hidden 💎💎 that provide us with more bang for our buck when we study.

Today, I have embarked on an entirely more controversial topic: “What can we ignore on GTO Wizard?”

Let me be perfectly clear, all of the data in the GTO Wizard outputs are accurate and useful in some capacity. But some things are, practically speaking, less useful than other features. Crucially, there are things that can be horribly misapplied if they are not used properly.

This is not so much about ignoring certain features and more so about becoming aware of what deserves our attention the most. You know, priorities.

Single Bet Sizes

Before we get started on individual suggestions from some of our content creators, I’ll start with something a lot of people have said to me in the last few months. Since the release of the innovative Automatic and Dynamic bet sizing feature—part of the AI custom solver—they prefer custom solutions over the presolved solutions library, which can have a mix of bet sizes for hands.

Automatic and dynamic bet sizing typically will give you one bet size for your whole range, rather than assigning different bet sizes to different parts of the range. It is, by nature, a much simpler way to order and digest a strategy.

The main argument for doing this is that there’s a negligible EV difference between a complex mix of multiple sizes and simply sticking to one bet size. On top of that, we’re also limited by our mental bandwidth, which stands no chance of memorizing the outputs perfectly. So, we can squeeze out more juice by learning how a whole range is motivated to play, rather than how each hand wants to play.

Let’s look at a straightforward example, first from the solutions library. This is UTG vs BB, single-raised pot, 40bb effective, and the flop is 853 rainbow. When checked to, this is what UTG does:

Now, let’s look at the same spot using the custom AI set to use the Automatic bet sizing option:

The frequencies have changed significantly, but the shape of the range has largely stayed the same. For example, the hands that really like to check back—22, KQs, KJs, A9s—still do.

The big difference in the solution from the presolved library is naturally in terms of sizing. There are hands that like to overbet~24% of range overbets 125% pot and hands that lean toward small bets~36% of range bets 33% or 20% pot . Complex solutions can teach us important lessons that should not be ignored. Such as by hinting at each hand’s interests. Most notably in this case, hands like vulnerable overpairs (99–JJ) like to bet big for protection, whereas hands like sets bet small because they don’t have those concerns as much.

The automatic bet sizing algorithm pinpointed the optimal single size somewhere in the middle.

In the examples from the solutions library, most hands mix to some extent. If you look at a hand like K8s, it takes both big/small bet lines at a similar frequency:

While it splits, the EVs of each mixed-in bet size are basically identical, and very close to the EVs in the automatic bet sizing example:

To be perfectly clear, there are times when we should mix. Lots of very valuable lessons come from seeing the split of hands that choose to mix, including which hands prefer ‘pure’ strategies and when to deceptively mix with our hand. However, most players would perhaps get more use out of their time if they looked at how the range as a whole plays, which is what the automatic bet sizing feature illuminates.

Jayser1337 – Ignore Rare Lines

Jayser is right; this is a great advert for the nodelocking feature. To take his specific example of donk bets.

This is an AI solution for 60bb effective between UTG and BB in a single-raised pot. The flop is 654 rainbow, the classic ‘lead board.’ This is the BB’s first action:

And when the BB checks, this is what UTG does:

They are understandably cautious because the BB has such a strong range.

What if we think that the population does not understand boards like this, causing most players to c-bet at a too high frequency, let’s say 75% of the time? This is what the BB’s first action is in that scenario:

What was a slim majority lead becomes a 100% check (because we are no longer concerned with checkbacks, and also so we can check-raise).

What if the exploitable imbalance originates from the BB? For example, they do not recognize that they should lead a lot here and check all the time, even with such a strong range. This is how UTG responds to the check:

Again, a huge deviation, they check back almost all the time.

This is but one simple example that highlights the importance of understanding the population tendencies in the games you play, rather than just emulating the GTO strategies

Kevin Rabichow – Be Extra Critical of River Equilibria

This lesson from Kevin is a reminder of the power of compounding. A small difference on the flop can potentially snowball into a radically different strategy on the river.

I’m not going to pretend to comprehend concepts like equilibrium Take definition from here: https://gtowizard.com/glossary/nash-equilibrium/ at the level of somebody like Mr. Rabichow, but let’s do a simple experiment to show what he means.

This is BB’s first action on the river in a single-raised pot against UTG. It has gone bet, call on the flop, bigger bet, call on the turn. On the river, the board reads T♥5♦2♣ K♦ 2♠.

And this is UTG’s strategy facing check:

Now, using the nodelocking feature, I have tested what happens if our assumptions are wrong and the BB check-raises a little bit less often on the flop. In GTO world, they check-raise 12.5% of the time, but I have changed the frequency to 7.5%. While the frequency has changed, the hands that raise largely stay the same. Considering this hand, as it plays out, does not involve check-raising, this nodelock would seem quite inconsequential for later actions.

This is BB’s first-in (exploitative) strategy on the river with that passive adjustment:

And this is the UTG action when checked to:

A lot has changed. There are now no BB river leads, whereas they occurred around ~11% of the time previously. When checked to, UTG bets much more frequently, favouring the smaller of the available bet sizes, which itself has changed.

That one tweak on the flop changed other nodes apart from the river of course, but the point remains. A small difference in our assumptions can lead to a very different strategy compared to GTO (or even what you exploitatively assumed).

Uri Peleg – Ignore the Suits

Unless there is a flush draw or it is a monotone board, when the suits obviously really matter, this makes a lot of sense. When there is a mixed strategy for a particular hand, it means that the EV of each mixed-in action is the same.

For example, from the last hand we looked at, here is the BB strategy when facing a flop bet:

Now, if we pick a hand that mixes (e.g., A7s):

A♠7♠ is a clear fold, because it does not have a backdoor flush draw. The other three hands mix calling and raising, because they do have a backdoor flush draw. The three other combos do not have the same frequencies; ♦♦ raise the most, ♥♥ raise the least. We could get bogged down in the reasons why, but how valuable is that return on our time investment?

As mentioned, when a hand mixes, it means the EV of either action is practically the same, which we can see here:

We only have a limited amount of mental bandwidth when looking at complex sims, and we will never have the ability to exactly replicate what the solver is telling us. Much better to look more broadly here and say, when A7s has a backdoor flush draw, it’s a continue—either as a call or a raise.

Barry Carter – Ignore Uncommon Spots

I am fondly reminded of one of my favourite GTO Wizard resources: the spot importance spreadsheet created by Tombos21. Which shows the most frequent heads-up spots in (cash game) poker, in order:

Rather than studying the cooler type hands that caused a lot of headaches, a better use of a lot of players’ time would be to go through these valuable spots in order. Perhaps, the best start is with the flop reports feature. An example, this is at NL500, SB vs BB single-raised pot, after the BB has checked.

Then click on an action to see the commonalities between flops where that action is taken. For instance, checking back:

Donk Orleone – F*ck Around and Try New Stuff

Conclusion