Esports Athletes and Players: a Comparative Study
Nikita Khromov, Alexander Korotin, Andrey Lange, Anton, Stepanov, Evgeny Burnaev, Andrey Somov
TL;DR
This study compares the performance of regular players and professional esports athletes in CS:GO, using biometric data to understand the factors behind athletes' superior skills.
Contribution
It introduces a biometric-based classification approach to analyze and explain the performance differences between amateur and professional esports players.
Findings
Biometric features significantly distinguish professional athletes from regular players.
Professional players demonstrate superior performance metrics.
The study enhances understanding of skill-related biometric indicators in esports.
Abstract
We present a comparative study of the players' and professional players' (athletes') performance in Counter Strike: Global Offensive (CS:GO) discipline. Our study is based on ubiquitous sensing helping identify the biometric features significantly contributing to the classification of particular skills of the players. The research provides better understanding why the athletes demonstrate superior performance as compared to other players.
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