https://sglt-signal.com/index.....php/managing-nanocha
For the calculated variables, the coefficient of difference had been calculated, which permitted to identify the athlete using the greatest (average 45.3%) and cheapest (average 20.5%) variability of kinematic variables. Moreover, it was shown that the lowest values of this coefficient of variation occurred at the conclusion of the grouping phase (average 14%) and that among all the different factors, those associated with the timeframe of motion were most unstable (ave