Fig 1.
Procedure for determining a maximal acceleration-initial running speed (amax-vinit) regression line using game locomotion data.
The figure shows the procedure for the case of three combined games. Different symbols represent acceleration actions from different games for a representative athlete. (A) (1) The vinit-axis is divided into intervals with a length of 1.4 km·h−1 (gray dashed vertical lines), (2) within each interval the action with the highest amax is selected (black filled symbols), and (3) the selected actions are described by a linear model (black dashed line). (B) (1) High-intensity acceleration actions (i.e., actions with an amax > 75% of the amax predicted by the regression line calculated in (A)) are selected (gray filled symbols), (2) 20 quantiles are calculated for the vinit-values of the high-intensity acceleration actions (gray dashed vertical lines), (3) within each interval between successive quantiles, the action with the highest amax is selected (black filled symbols), and (4) the actions selected in this way are described by a linear model, resulting in the amax-vinit regression line of the athlete (black dashed line).
Table 1.
Interval length and number of quantiles as a function of the number of games combined.
Table 2.
Descriptive statistics and mean bias estimates in raw and percent units.
Fig 2.
Standardized mean bias estimates and the respective decision on equivalence.
The gray shaded area shows the trivial effect or equivalence range. Error bars show 90% compatibility intervals.