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Predicting Winning Team and Probabilistic Ratings in “Dota 2” and “Counter-Strike: Global Offensive” Video Games

2017; Springer Science+Business Media; Linguagem: Inglês

10.1007/978-3-319-73013-4_17

1611-3349

Ilya Makarov, Dmitry Savostyanov, Boris Litvyakov, Dmitry I. Ignatov,

Sports Analytics and Performance

In this paper, we present novel winning team predicting models and compare the accuracy of the obtained prediction with TrueSkill model of ranking individual players impact based on their impact in team victory for the two most popular online games: “Dota 2” and “Counter-Strike: Global Offensive”. In both cases, we present game analytics for predicting winning team based on game statistics and TrueSkill.