## 3 Results  
All the variables from the first and second sessions were normally distributed (skewness \(<\) 1; kurtosis \(<\) 2). The descriptive statistics of GPEXE It variables and the results of intrasession reliability can be found in Table 1.  
Notably, high relative and absolute intrasession reliability were observed for MSS and sprint split times at intermediate and long distances (ICC \(\geq\) 0.91; CV \(\leq\) 2.1%). In contrast, lower reliability was noted for short distances (ICC \(\leq\) 0.79; CV \(\geq\) 2.8%). The validity results are presented in Table 2. Based on the split times and MSS, the GPEXE It consistently underestimated CS and LS sprint speed performance. In both, CS and LS, the MSS was systematically underestimated (moderate to large ES; ICC \(\geq\) 0.87), whereas the split times were overestimated (very large ES; ICC \(\geq\) 0.66). The Bland-Altman plots with 95% LoA (Figures 2-4) further illustrate the agreement on an individual basis between GPEXE It and TG. Notably, the highest agreement was observed for the MSS of LS and CS to the right (Figure 4), as well as the split times of LS (Figure 2). \begin{table}
\begin{tabular}{c c c c c c} \hline  & & **Rep 1** & **Rep 2** & **Rep 3** & **Relative** & **Absolute** \\ \hline
**Sprint Type** & **Variable** & **Mean (SD)** & **Mean (SD)** & **Mean (SD)** & **ICC (95\% CI)** & **CV (95\% CI)** \\ \hline CSL & t\({}_{\text{0-10}}\) (s) & 2.32 (0.16) & 2.29 (0.14) & 2.26 (0.11) & 0.77 (0.57–0.89) & 2.8 (2.3–3.8) \\  & t\({}_{\text{0-20}}\) (s) & 3.92 (0.29) & 3.87 (0.26) & 3.87 (0.26) & 0.93 (0.86–0.97) & 1.8 (1.4–2.4) \\  & t\({}_{\text{0-30}}\) (s) & 5.49 (0.41) & 5.45 (0.36) & 5.45 (0.37) & 0.96 (0.91–0.98) & 1.4 (1.3–1.9) \\  & MSS (m s\({}^{-1}\)) & 6.61 (0.46) & 6.53 (0.47) & 6.46 (0.48) & 0.96 (0.90–0.98) & 1.5 (1.2–2.0) \\ \hline CSR & t\({}_{\text{0-10}}\) (s) & 2.28 (0.14) & 2.3 (0.14) & 2.29 (0.16) & 0.79 (0.60–0.90) & 2.9 (2.3–3.9) \\  & t\({}_{\text{0-20}}\) (s) & 3.86 (0.25) & 3.9 (0.27) & 3.88 (0.27) & 0.91 (0.81–0.96) & 2.1 (1.7–2.8) \\  & t\({}_{\text{0-30}}\) (s) & 5.45 (0.37) & 5.49 (0.38) & 5.48 (0.38) & 0.94 (0.88–0.97) & 1.8 (1.4–2.3) \\  & MSS (m s\({}^{-1}\)) & 6.53 (0.48) & 6.48 (0.48) & 6.37 (0.48) & 0.95 (0.89–0.98) & 1.8 (1.5–2.4) \\ \hline LS & t\({}_{\text{0-10}}\) (s) & 2.22 (0.14) & 2.26 (0.17) & 2.23 (0.14) & 0.70 (0.46–0.85) & 3.6 (2.9–4.8) \\  & t\({}_{\text{0-20}}\) (s) & 3.64 (0.26) & 3.67 (0.28) & 3.68 (0.26) & 0.92 (0.83–0.96) & 2.1 (1.7–2.8) \\  & t\({}_{\text{0-30}}\) (s) & 4.98 (0.39) & 4.99 (0.41) & 5.01 (0.39) & 0.96 (0.91–0.98) & 1.6 (1.3–2.2) \\  & MSS (m s\({}^{-1}\)) & 7.85 (0.81) & 7.76 (0.79) & 7.64 (0.79) & 0.98 (0.95–0.99) & 1.5 (1.2–1.9) \\ \hline \end{tabular} Note. t\({}_{\text{0-10}}\) = split time from 0 to 10 m, t\({}_{\text{0-20}}\) = split time from 0 to 20 m; t\({}_{\text{0-30}}\) = split time from 0 to 30 m; CV = coefficient of variation; ICC = intraclass correlation coefficient; 95% CI = 95% confidence interval; CSR = curvilinear sprint to the right; CSL = curvilinear sprint to the left; LS = linear sprint.  
\end{table} 
Table 1: Descriptive statistics of GPEXE It variables and intrasession reliability of the GPEXE It for measuring linear and curvilinear short, intermediate, and long distance sprint times and maximum sprinting speed (MSS).