A new theory has been developed to predict how players in games with incomplete information choose their strategies. By measuring the strength of each player's incentives to use a certain strategy, researchers can estimate the likelihood of a specific outcome, known as a Nash equilibrium. The solution to the game is the Nash equilibrium with the highest probability of occurring, if it is unique. The study also addresses challenges when multiple equilibria exist.