Player Performance Evaluation in Team-Based First-Person Shooter eSport

Abstract:

Electronic sports or pro gaming have become very popular in this millenium and the increased value of this new industry is attracting investors with various interests. One of these interest is game betting, which requires player and team rating, game result predictions, and fraud detection techniques. This paper discusses several aspects of analysis of game recordings in Counter-Strike: Global Offensive game including decoding the game recordings, matching of different sources of player data, quantifying player performance, and evaluation of economical aspects of the game.

BibTeX:

@inproceedings{bednarek_player_2018,
    title = {{Player Performance Evaluation in Team-Based First-Person Shooter eSport}},
    author = {Bednárek, David and Kruliš, Martin and Yaghob, Jakub and Zavoral, Filip},
    year = {2018},
    booktitle = {{Data Management Technologies and Applications}},
    editor = {Filipe, Joaquim and Bernardino, Jorge and Quix, Christoph},
    publisher = {Springer International Publishing},
    series = {{Communications in Computer and Information Science}},
    location = {Cham},
    doi = {10.1007/978-3-319-94809-6_8},
    isbn = {978-3-319-94809-6},
    pages = {154--175},
}

Proceedings paper