Fragment of ontogenetic dynamics of player performance during e-sports training

Relevance. With the development of global computerization , the game has taken its place among digital technologies and has become an integral part of the life of every modern person, transforming into e-sports. The eSports type of activity involves mainly young people of different ages as participants. Ontogenetic features of their cognitive activity, expressed in competitive and training performance, require clarification, detail, replenishment with new facts. Actualization of the need for this kind of fundamental research consists, on the one hand, in increasing the effectiveness of domestic e-sports, and on the other hand, in preserving cognitive, somatic and spiritual and moral health of eSports. The purpose of the study is to identify the presence, strength and nature of the relationship of individual performance (cybertightness) from the age of a young player in a narrow ontogenetic segment. Methods. In the course of the study, the following were used: standardization of individual cyber accuracy, correlation analysis, the method of least squares (approximation), semantic analysis. Outcomes. The reliable relationship of individual performance (cyber-accuracy) with the age of the player, expressed in months of life, on the ontogenetic segment from 18 to 23 years is as follows: who is younger than the female subject, the more precise his eSports result. In strength, the connection is close, in nature - nonlinear, descending polynomial, resembling a sinusoid, with a coefficient of determination equal to 0.36. The amplitude of the rise the graph of the polynomial regression function, which approximates the dependence of cyberfoccia, at the first burst was 59%, in the second - 22%, in the third - 40%. The amplitude of the decline, respectively: 8% and 40%. Conclusion. The transition from the adolescent stage of ontogenesis to a young age in miniature reproduces the dominant wave-like nature of the individual development of cognitive functions with the amplitudes of the phases of ascent gradually decreases as they grow older.