applied sciences Article Identification of Players Ranking in E-Sport Karol Urbaniak 1 , Jarosław W ˛atróbski 2,* and Wojciech Sałabun 1,* 1 Research Team on Intelligent Decision Support Systems, Department of Artificial Intelligence Methods and Applied Mathematics, Faculty of Computer Science and Information Technology, West Pomeranian University of Technology in Szczecin, Szczecin ul. Zołnierska˙ 49, 71-210 Szczecin, Poland;
[email protected] 2 Department of Information Systems Engineering in the Faculty of Economics, Finance and Management of the University of Szczecin, Mickiewicza 64, 71-101 Szczecin, Poland * Correspondence:
[email protected] (J.W.);
[email protected] (W.S.); Tel.: +48-91-449-5580 (W.S.) Received: 20 August 2020; Accepted: 22 September 2020; Published: 27 September 2020 Abstract: Human activity is moving steadily to virtual reality. More and more, people from all over the world are keen on growing fascination with e-sport. In practice, e-sport is a type of sport in which players compete using computer games. The competitions in games, like FIFA, Dota2, the League of Legends, and Counter-Strike, are prestigious tournaments with a global reach and a budget of millions of dollars. On the other hand, reliable player ranking is a critical issue in both classic and e-sport. For example, the “Golden Ball” is the most valuable prize for an individual football player in the whole football history. Moreover, the entire players’ world wants to know who the best player is. The position of each player in the ranking depends on the assessment of his skills and predispositions.