Guess Optimization

Definition

Guess optimization is the process of selecting, among all legal moves, the one with the best expected outcome — balancing information gain against the chance of an immediate solve and the guesses remaining.

Why it matters

Consistently optimising guesses, rather than playing the first plausible word, is the engine of a low average solve count.

Examples

• Choosing a probe over a long-shot answer early.
• Picking the most balanced split among candidates.

Best practices

• Weigh information against guesses left.
• Re-optimise after every result.

Frequently asked