A new algorithm achieves minimax-optimal sample complexity for multicalibration using deterministic predictors, resolving a long-standing open problem. The method also produces deterministic predictors that satisfy outcome indistinguishability and enables optimal deterministic omnipredictors and panpredictors, addressing open questions from prior works.