GTOKiller
@GTOKiller_
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Exploitative poker solver: - Max-EV strategies built on real population data - Strategies by site, stake & opponent profile https://t.co/AKPKUlmcYI
Joined September 2025
Early vs BB. SRP. Board: Q♠8♣3♦ 6♦ 2♠. You've barreled flop and turn. The river is a complete brick. Do you fire again? GTO says: barrel 45% of the time. GTOKiller says: barrel 65%. Why the difference? GTO assumes BB folds ~50% to the 3rd barrel here. MDA shows the pool
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BB vs BTN open. Two different stakes. Same leak. - NL200: BB defends 30.5% - NL25: BB defends 27.2% Both are overcalling. By enough to change your entire postflop strategy. And it's not just frequency. The morphology of the range changes completely. Wider, messier, full of
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The GTO Tax. Every time you ‘balance your range’ against an opponent who overfolds to c-bets, you’re paying a voluntary tax on your win rate.
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GTO solvers are costing low-stakes players money on the flop. GTO calculates c-bet strategy assuming the villain defends optimally. Calling, raising, and folding in balanced proportions. At NL10-NL50, that model breaks down completely. Example: SB opens, BB calls. Flop comes
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The river pairs the board. IP checks 85% of the time according to GTO. Why? Because it expects OOP to defend well. Paired rivers shouldn't scare a balanced player into folding. But what if they do overfold? IP 3RD BARREL FREQUENCY ON PAIRED RIVERS - GTO: Expects IP to check 85%
@GTOKiller_ Are river paired overfolded by OOP in the XF line or by IP against DB line in SRP?
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Any hand or spot you want solved exploitatively? Drop it and we'll show you the exploitative answer vs GTO.👇
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Now live in GTOKiller 🚨 GTO frequencies + real population data inside the solver. Every spot now shows three layers side by side : - What GTOKiller recommends - What GTO says - What real players at your stakes actually do See exactly what leak GTOKiller is attacking. And see
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Let's see this in action. SB vs BB single raised pot. FLOP — SB c-bet frequency: - GTO: checks 57% of the time - GTOKiller: checks only 40% 👉Why does GTOKiller push for 17% more c-bets? Let's look at what happens when SB checks. After SB checks, how often does BB bet? - GTO
GTO solvers at low stakes can actively make your game worse. GTO assumes your opponent plays near-optimally. At NL10-NL50, that assumption is wildly off. The bigger the gap between GTO's assumptions and reality, the worse its recommendations become. Example: GTO checks strong
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@GTOKiller_ Trying to use GTO in micro is harder than herding cats! 😆
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GTO solvers at low stakes can actively make your game worse. GTO assumes your opponent plays near-optimally. At NL10-NL50, that assumption is wildly off. The bigger the gap between GTO's assumptions and reality, the worse its recommendations become. Example: GTO checks strong
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@GTOKiller_ Interesting. Exploiting population tendencies isn't "deviation," it's refinement. GTO is the baseline; beating regs is about knowing *when* and *how* to nudge beyond it. That 9% fold difference is delicious.
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Open any spot. See the data.👇 https://t.co/dfd3W1Z4le
gtokiller.com
Access the exploitative poker solver. Data-driven strategies that maximize EV against your specific pool.
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🚀 New in GTOKiller: GTO + Population data now live inside the solver. Let's look at a real example. Why does GTOKiller push for a higher c-bet frequency? Let's break it down street by street. FLOP — After a 33% c-bet, how does BB respond? - GTO: BB folds 32%, calls 55%,
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You open SB and BB calls. Flop comes dry board. This is a 100% c-bet flop from the SB. No question. But which sizing makes the most? FLOP — 33% pot vs 50% pot The 1/3 sizing looks safe. But safe ≠ profitable: - Bet 33%: GTO expects 20% fold. MDA: the pool folds 31%. Decent
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GTO solvers assume BB defends 41% vs SB open. Real players on GG? 36%. That's not a small gap. That's the most important input parameter of a solver being off by 5%. But it gets worse. it's not just the frequency. The morphology of the range changes completely. The real meta
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Your opponent checks the river after a missed turn c-bet on a scary board. They’re showing weakness. Do you bluff? GTO says mix. GTOKiller says fire and here’s why. RIVER PROBE (Villain’s action when checked to) - GTO: Expects villain to probe 34% of the time. - MDA: The pool
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Until now, GTOKiller told you what to do. Next week, it shows you why. We're adding GTO frequencies and MDA population data directly inside the solver. Every spot, three layers: 🔹GTOKiller: the exploitative strategy that maximizes EV 🔹GTO: the theoretically balanced play
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Ask a GTO solver and it starts mixing frequencies between bet and check. It wants to "balance your range" so you stay protected. Let's break it down street by street. 👇 FLOP (Bet 33%) - GTO: BB folds 33%, calls 57%, raises 10%. - MDA: The pool folds 38%, calls 54%, raises 8%.
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The biggest leak at low stakes isn’t your play. It’s your study tool. There’s no useful solver for NL100 and below. Every solver on the market assumes your opponent plays GTO. At NL50, they don’t.
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Honest question for grinders: How much of your study time is spent learning what GTO says… vs. learning what your opponents actually do?
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