This technology relates to a method and device for game match prediction. Specifically, it is an AI match prediction technology that learns game character selection combinations.
Existing technologies primarily focused on analyzing factor experiments for win/loss and prediction models. There was a need to address the limitations of these conventional methods when establishing strategic steps for assembling champions. This technology proposes a configuration that includes a game victory prediction method, comprising steps for acquiring prediction information for game victory and collecting selection combination information based on the selection combinations of team game characters.
Consequently, this technology can improve game victory prediction by considering all combinations of game characters and learning based on game play result information. It has valuable applications in the gaming, entertainment, and software industries.
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