The invention relates to a strategy generation method under non-complete information gaming. The method comprises following specific steps: the opponent behavior modeling step that, before gaming is performed, according to a specific rule of the gaming, modeling for each behavior of an opponent is performed; the behavior collection and information prediction step that, in the gaming process, information of each action of the opponent is recorded, and the information is converted into probability distribution of opponent information through a model; the win rate calculation step which is performed according to a prediction and that, according to the probability distribution, a simulation is performed through a monte carlo method to obtain an own win rate; and the step that an expect benefit of each behavior is calculated according to the win rate finally, and the haviro having the highest expect benefit is selected to be taken as a final decision. A new thought is provided for the non-complete information gaming, the method has the advantages of clear logic, simple implementation and accurate calculations of the opponent information and the win rate, the decision-making capability in specific situation can be improved, a decision benefit is maximized, and then industrial production efficiency is improved.