  eSports is a developing multidisciplinary research area. At present, there is
a lack of relevant data collected from real eSports athletes and lack of
platforms which could be used for the data collection and further analysis. In
this paper, we present a sensing system for enabling the data collection from
professional athletes. Also, we report on the case study about collecting and
analyzing the gaze data from Monolith professional eSports team specializing in
Counter-Strike: Global Offensive (CS:GO) discipline. We perform a comparative
study on assessing the gaze of amateur players and professional athletes. The
results of our work are vital for ensuring eSports data collection and the
following analysis in the scope of scouting or assessing the eSports players
and athletes.
