Solver Terminology

Intermediate

Definition

Key terms used in GTO solvers and equilibrium-based poker analysis.

Core Solver Concepts

Term Definition
GTO Game Theory Optimal - unexploitable strategy
Nash Equilibrium State where no player can improve by changing strategy
EV Expected Value - average outcome over many iterations
Exploit Deviating from GTO to profit from opponent mistakes
Frequency How often an action is taken (as %)

Game Tree Terms

Term Definition
Node A decision point in the game tree
Root The starting point of analysis
Branch A possible action at a node
Leaf End point where hand values are realized
Subgame Portion of game tree from any node

Strategy Concepts

Term Definition Example
Pure Strategy 100% one action Always bet AK
Mixed Strategy Multiple actions at frequencies Bet 70%, check 30%
Indifference EV equal between actions Fold or call both 0 EV
Exploitability How much strategy loses to perfect counter-play 2bb/100 exploitable

Range Analysis Terms

Term Definition
Range vs Range Analyzing all hands vs all hands
Combos Number of specific hand combinations
Equity Distribution How equity is spread across a range
Nut Advantage Having more of the strongest hands
Range Advantage Having higher average equity

Solver Output Terms

Term What It Shows
EV (bb) Expected value in big blinds
Frequency % How often each action is used
Equity % Share of pot at showdown
Strategy Recommended action distribution

Common Solver Actions

Abbreviation Meaning
X Check
B Bet (often with size, e.g., B33 = 33% pot)
R Raise
C Call
F Fold

Simplification Terms

Term Definition
Abstraction Simplifying game tree for computation
Bet Sizing Node Limited bet sizes used in solution
Action Reduction Removing unlikely actions
Convergence Solution approaching equilibrium

💡 Key Takeaway: Understanding solver terminology helps you interpret GTO solutions and apply them to real games.

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