Esports is one of the biggest sports games in the world. Games are expanding in Indonesia as many events are held nationally and internationally on youtube channel. The game that is now playing is Mobile Legend, PUBG, League Of Legend and Garena Freefire . Freefire was held in 2020 throught tournament system that was participated by 18 clubs Esports divided into 3 groups of 6 team. The Esports tournament will go throught the regular season and playoff group. The problem that researchers is to determine the prediction of victory throught several research method on Freefire Esports data sources. Therefore, the researcher will use the method for Freefire Esport data namely Naïve Bayes. Researchers use this method becauseNaïve Bayes can determine the data to find the highest and lowest team scores. The value that the researcher takes is based on the standings of the points that pass are taken from the results of the calculation of this Naïve Bayes Method. The purpose of this paper is to obtain accurate and normal datasets.

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