## 4 Discussion
\begin{table}
\begin{tabular}{c c c c c} \hline \hline  & \begin{tabular}{c} **Time to Fall** \\ **Asleep** \\ \end{tabular} & \begin{tabular}{c} **Sleep Duration** \\ **Sleep** \\ \end{tabular} & \
\begin{tabular}{c} **Quality of** \\ **Sleep** \\ \end{tabular} &
\begin{tabular}{c} **Rested Feeling** \\ \end{tabular} \\ \hline Session-RPE & 0.132 & 0.233 \({}^{*}\) & 0.208 \({}^{*}\) & 0.176 \\ \hline Minimum HR & 0.134 & \(-\)0.059 & 0.018 & \(-\)0.121 \\ \hline HR average & 0.096 & 0.016 & 0.031 & 0.040 \\ \hline HR peak & 0.010 & 0.021 & 0.022 & 0.012 \\ \hline Total distance & 0.060 & 0.089 & 0.198 \({}^{*}\) & 0.202 \({}^{*}\) \\ \hline Pace & 0.045 & \(-\)0.007 & 0.022 & \(-\)0.005 \\ \hline Peak speed & 0.018 & 0.050 & 0.095 & 0.113 \\ \hline Distance at Z1 & \(-\)0.022 & 0.056 & 0.220 \({}^{*}\) & 0.177 \\ \hline Distance at Z2 & 0.130 & 0.120 & 0.165 & 0.186 \\ \hline Distance at Z3 & 0.097 & 0.073 & 0.161 & 0.222 \({}^{*}\) \\ \hline Distance at Z4 & 0.104 & 0.064 & 0.160 & 0.154 \\ \hline Distance at Z5 & 0.011 & 0.082 & 0.286 \({}^{*}\) & 0.214 \({}^{*}\) \\ \hline \hline \end{tabular} RPE: rate of perceived exertion using the CR-10 Borg’s scale; Session-RPE: multiplication of session duration by the score of RPE; HR: heart rate; bpm: beats per minute; Z1: distance covered at 3.00–6.99 km/h; Z2: distance covered at 7.00–10.99 km/h; Z3: distance covered at 11.00–14.99 km/h; Z4: distance covered at 15.00–18.99 km/h; Z5: distance covered at \(\times\)19.00 km/h.  
\end{table} 
Table 5: _Cont._and quality of sleep after training, distance covered at >19.00 km/h and quality of sleep after training, session duration and rested feeling after training, total distance and rested feeling after training, distance covered at 11.00-14.99 km/h and rested feeling after training and distance covered at >19.00 km/h and rested feeling after training. It seems that longer walking/running distances contributed to better sleep quality and rested feeling. In fact, the acute impact of exercise may provide beneficial impacts on sleep quantity when the exercise takes place 4-8 h before bedtime, which was the case in our study [25]. Few studies have been conducted to analyze such associations. In this sense, a study also found correlations between external training intensity and the following sleep night [32]. A study with a different approach also found correlations between session-RPE and sleep quality [33]. In the same line, training monotony of session-RPE was correlated with accumulated sleep quality over the season [34]. We speculated that those authors would also find associations between sleep quality and external measures if those were accessed. Despite the present results, further analysis should include contextual variables. For instance, a match win showed to provide better sleep quality when compared with a draw or a loss [35]. In addition, away matches, especially those that required longer travel distance, showed sleep/wake behaviors impairment [12]. Thus, future studies with a similar design as the present should be made considering match result and location to amplify knowledge in the field. Regarding internal intensity, our study showed that RPE was higher between MD-4 and MD-2, while lower values were found in MD. This was not entirely revealed in a similar study [36]. In under-17 soccer players, the middle days of the week also presented higher RPE values; however, MD displayed the highest value [36]. Indeed, the different measures of HR also presented higher values in training and were the lowest in MD, which led us to speculate that both RPE and HR expressed by beats per minute are useful for training, but they did not seem to properly address match intensity. Meanwhile, in the present study, s-RPE showed higher values in MD, followed by MD-3, which is in line with a study conducted in under-16 soccer players [37] but in opposition to the previous study conducted in under-17 soccer players [36].