GTO
Game Theory Optimal: the equilibrium strategy that cannot be exploited, because it mixes value and bluffs in exact proportions. The starting point — not the goal.
GTO (Game Theory Optimal) is poker’s equilibrium strategy: the way of playing against which no opponent response makes money in the long run. It doesn’t maximize against anyone in particular — it makes you unexploitable.
Where the proportions come from
Equilibrium isn’t a philosophy, it’s pot-size arithmetic. Two examples you can work out on a napkin:
- How many bluffs to bring: if you bet the pot on the river, you’re offering your opponent 2:1 — their call needs to win 33%. Equilibrium means giving them exactly that: 2 value hands for every bluff. With more bluffs, they call every time; with fewer, they fold every time. Either way, they win.
- How much to defend: against that same bet, if you fold more than 50% of your range, any bluff of theirs is instantly profitable (that’s the minimum defense frequency). This is why the bluff catcher exists: hands that only beat bluffs, but that you have to call to stay unexploitable.
GTO versus exploitative
Against real opponents, the play that makes the most money is almost never the equilibrium one: if someone never bluffs, fold your bluff catchers and move on — that’s exploitative play, and it earns more… as long as the read is right. GTO is the baseline that tells you what you’re deviating from and how much it can cost you if you’re wrong. That’s how the course approaches it: equilibrium first, then deviations with a reason.