Title
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.
Year
Venue
Field
2017
DATA (Revised Selected Papers)
Data integration,Data quality,Computer science,Human–computer interaction,Decoding methods,Database,Offensive
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
5
4
Name
Order
Citations
PageRank
David Bednárek14310.89
Martin Krulis27613.27
Jakub Yaghob311415.74
Filip Zavoral411919.01