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Optimization is important in various fields such as science, engineering and economic. There are many optimization methods and their numbers increase continuously due to the growing of optimization problems. An optimization method based on the movement behavior of soccer players, Soccer Game Optimization, is discussed in this paper. The method has two basic movements; the move off and the move forward; which are used to control the diversification and intensification. The algorithm has player substitution procedure, which will impose the search process into a nearby set of good solutions. In general, the method elaborates the competition and the reproduction process in evolutionary algorithm with the powerful information sharing of swarm intelligence algorithm. Examples of implementations are provided for continuous and discrete problems. The experiment results reveal that the method has the potential to become a powerful optimization method. The method can be enhanced in many different ways such as elaborating more aspects of the soccer players' movement as well as implementing the method to solve various optimization problems.