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Repository Details
We used a data set consisting of 39 attributes from 11,158 players registered in Pro Evolution Soccer 2019 (PES 2019), an electronic soccer game. This app is an interactive tool that allows any user to choose a soccer player from the game and find the ten players most similar whith him.
