Guides / Equilibrium and exploits / GTO vs. Exploit
GTO vs. Exploit: When to Deviate From Balanced Ranges
Published Updated How these ranges are solved
The free chip-EV charts provide an equilibrium-based baseline for the modeled shove/fold game. Exploit charts instead target a specified opponent tendency. Neither compares every action available in a full poker hand; see what GTO means and where its guarantees stop.
The question here is whether you have enough evidence to replace a baseline assumption with a specific read. Multiplayer payoffs and a restricted action tree make absolute claims about safety inappropriate.
What does an exploit range give up?
An exploit range throws balance away on purpose. If you know - really know, not guess - that a specific opponent folds too often to a shove, the highest-EV response isn't "stay balanced," it's "shove wider, because most of the extra hands you're adding win by fold equity alone." The tradeoff is that this same wider range can lose its advantage if that opponent adjusts to calling more. Exploit play is a bet that your read is right and durable enough to cash in before the opponent notices and corrects.
A worked example: a Big Blind who folds too much
Every extra hand in the wider range below is a hand that would lose value against a GTO big blind, but gains value against this specific one.
The button's shove range at 10bb effective widens from 39% of hands to 50% once the big blind is tagged as folding too often - 11 percentage points wider than the GTO baseline, with the small blind still playing GTO behind it.
GTO baseline - 39% shove
Exploit vs. tight BB - 50% shove
Which one should you play?
Default to GTO until you have a real read: a big sample against one villain, a stat from a HUD, or a documented tendency, not a hunch from one hand. GTO is the range that can serve as a reference for the modeled game, and it's free on this site for every position, stack depth, and table size (6-max and 9-max). Once you have that read, an exploit range converts it into extra EV that a balanced range leaves on the table by design.
How much that is worth depends on who you're playing. In low stakes the deviations are large and frequent enough that the exploit range is most of the edge - push/fold strategy for low stakes walks through the order to build it in, baseline first.
Free accounts get 1 Exploit practice question a day, from signup. Full exploit profiles - every position, stack depth, and tight/loose opponent tendency, unlimited - are a Pro feature; eligible new accounts can opt into a 7-day monthly trial before committing.
See pricing →Common questions
- Should I play a GTO range or an exploitative range?
- Default to GTO until you have a real read - a big sample against one villain, a HUD stat, or a documented tendency, not a hunch from a single hand. A modeled baseline gives you a reference for an adjustment; it does not guarantee safety against every multiplayer strategy. Once you genuinely have the read, a best response can earn more against the opponent model, provided your read and the game assumptions are accurate.
- What do you give up by playing an exploit range?
- An exploit range throws balance away on purpose, so the same wider range that beats an opponent folding too often can lose its advantage if that opponent adjusts to calling more. Exploit play is a bet that your read is right and durable enough to cash in before the opponent notices and corrects.
- Are the free charts on this site GTO or exploit ranges?
- The free chip-EV charts are restricted shove/fold solves at the listed depths in 6-max and 9-max games. They do not guarantee unexploitable play in a full multiplayer game. Exploit practice uses separate best-response solves against a graduated tight-to-loose opponent scale. Free accounts can sample and drill them within their allowance; Pro unlocks every profile and unlimited practice.
Sources and assumptions
- Nash (1950) - "Equilibrium Points in n-Person Games", Proceedings of the National Academy of Sciences 36(1). The equilibrium concept behind "GTO".
- Nash equilibrium (Wikipedia) - A readable overview, including why an equilibrium doesn't have to be the best reply to a player who deviates from it.
- Game Theory (Stanford Encyclopedia of Philosophy) - A standard reference on equilibrium, mixed strategies and best responses.
The solved numbers on this page
- Chip-EV shove/fold solves, 6-max unless a figure says 9-max.
- 0.125bb ante per player (not a big-blind ante). Stacks are counted before blinds and antes are posted.
- Percentages are shares of all 1,326 starting combos, rounded to the nearest whole number.
- Only shove and fold are modelled. Limps, min-raises and postflop play are not.
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Related guides
- 3.3Exploiting Tight and Loose OpponentsWhat actually changes in a solved shove range once you tag an opponent as folding too much or calling too much - the real hands that move, both directions.
- 3.1What Is GTO Poker? Game Theory Optimal ExplainedWhat game-theory-optimal actually means, how equilibrium baselines depend on the game model, and what a GTO range looks like when the decision is only shove or fold.
- 4.2Push/Fold Strategy for Low StakesDoes push/fold work when nobody at your table plays GTO? Yes - but only if you adjust in the right order. The three-step method, with the solved charts at each stage.