Esports Athletes and Players: a Comparative Study
This work addresses performance gaps in esports for players and coaches, but it is incremental as it applies existing sensing methods to a new domain.
The study compared professional and amateur CS:GO players using biometric sensing to identify features that classify skills, finding that athletes show superior performance due to specific biometric factors.
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.