Predicting League of Legends, Valorant, and Call of Duty Rage

HyperX, the Fountain Valley-based leading maker of equipment for gamers, sponsored a study with the Adidas-Arizona State University Center for Engagement Science Lab that looked at biometrics of gaming to predict when anger and frustration will lead players to the tipping point known in gamer circle

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League has evolved to a point where it is predominantly more common for at least 1-2 players on each team to not have any fun whatsoever. : r/leagueoflegends

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Predicting League of Legends, Valorant, and Call of Duty Rage-Quitting (i.e., tilt) with 80% accuracy using a biometrics algorithm.

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Beta Cheaters/Spinbot : r/VALORANT

GitHub - reneleogp/ML-Prediction-LoL: In this project I implemented two machine learning algorithms to predicts the outcome of a League of Legends game.

HyperX Sponsors Arizona State University Study to Help Discover Breakthrough Player Performance Predictions Using Biometrics - TechDogs