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Poker glossary

GTO (Game Theory Optimal)

What it means

GTO (Game Theory Optimal) is a mathematical approach to poker that creates unexploitable strategies through perfect balance. When you play GTO, your opponent cannot gain an edge against you regardless of their adjustments. This doesn’t mean you’ll win every hand or session - it means no strategy can beat you in the long run. GTO represents the theoretical baseline of perfect poker.

How it works at the table

GTO manifests as precise frequencies for every action. Consider defending your big blind against a button raise to 2.5bb. GTO might dictate calling 35% of hands, 3-betting 12%, and folding 53%. With A♥5♥ specifically, you might 3-bet 40% of the time and call 60%. On a flop of K♠ 7♦ 2♣ after calling, GTO could require check-raising 15% of your range - including some strong hands like sets and some bluffs like gutshots. These mixed strategies prevent opponents from exploiting any particular tendency.

Strategic context

Pure GTO play works best against unknown or highly skilled opponents who might exploit your weaknesses. Against weaker players, deviating from GTO often yields higher profits - if someone folds too much, you should bluff more than GTO suggests. Most winning players use GTO as a foundation, then adjust based on opponent tendencies. Understanding GTO principles helps identify when opponents deviate and how to counter them. It’s the bedrock of modern poker theory.

Common mistakes

Players often misunderstand GTO as always playing the same way - true GTO involves randomization and mixed strategies. Another error is attempting GTO play at stakes where opponents make massive mistakes; exploitative play crushes weak fields faster. Many also confuse GTO with playing tight or conservative when it actually includes aggressive plays with proper frequencies. Some try to memorize GTO solutions without understanding the underlying logic of range construction and balance.

GTO connects directly to pot odds and equity calculations that determine optimal frequencies. It contrasts with exploitative play, which maximizes profit against specific opponent tendencies. Solver software calculates GTO strategies for various scenarios. Nash equilibrium forms the mathematical foundation. Understanding GTO helps evaluate whether deviations in ICM spots or against particular players make sense.