## 4 Discussion
These results enhance the findings from other studies, which suggest that other factors could possibly affect the perceived exertion in intermittent team sports [37; 38]. However, in professional or semi-professional football, the RPE\({}_{\text{dur}}\) is an indicator that is correlated with EXLD of the training sessions [40; 41; 42; 62; 63]. Furthermore, regardless of the age or level of the players, the TD traveled during the training has the same effect on their perceived exertion [36]. The results showed that there is a low-intensity correlation between wellness perceived responses of the following day and EXLD parameters, independently of the duration of the microcycle, with SRN and FTG carrying more correlations than SLP. In a recent study in professional football players [47] that examined the relationship between wellnessindicators, it was observed that the variables sleep quality, fatigue, and muscle soreness showed strong correlations with the internal and external load factors on day MD+1. More specifically, these variables showed negative correlations with RPE, session duration, s-RPE, high-speed running distance, Acc, and Dec. In MIC7 and MIC9, there were correlations for all the wellness parameters, but in MIC5 and MIC6, there were no correlations for SRN and SLP, respectively. Moreover, the responses had correlations with the subsequent training on the same day [7]. In other studies, SLP had no correlations with TD, ACC, DEC, and HMLD [5]. For high-level youth players, SRN had correlations with ACC but not with TD, DEC, and HMLD [5]. Additionally, [PERSON] et al. [31] found correlations between SRN and ACC, DEC during the games. These differences between the various microcycles are ascribed to the fact that the responses can be influenced by the distance of the relative day to the upcoming game [33]. The motivation and the desire to participate in the competition are probably reflected in the players' responses, resulting in a lower score (higher \"readiness\") in the days closer to the game, thus an overall lower score on MIC5 and MIC6 [64]. The quantity and quality of sleep are affected after the application of high eccentric load to the muscles [33], and in addition, a high volume of TD and DUR contributes to an elevated need for rest (sleep) [65]. These factors are probably provoking the correlations in MIC5 between PWvh (which causes high neuromuscular load), DUR, and SLP (with TD marginally having no correlation). As previously mentioned in a recent study [47], no correlation was observed between the variable sleep quality during the microcycle (training sessions) and the internal (RPE, s-RPE) and external load factors (high-speed running distance, sprint distance, Acc, Dec). However, in the same study, strong negative correlations were reported on day MD+1 with the internal load indicators (RPE, s-RPE), as well as with high-speed running distance, Acc, and Dec. Interestingly, in MIC6, there was no correlation with SLP, although in the sort-duration microcycles, the target was to recover and prepare for the following game; presumably, in MIC5, the shortest range between the games does not allow the players to recover either physically or mentally. The results of our study are in line with the literature, where FTG and SRN are the best predictors of the wellness questionnaire, since the highest values of EXLD can influence the responses of the following morning [7]. In large microcycles (MIC7 and MIC9), there were more correlations than in the short ones (MIC5 and MIC6). In these microcycles, there is adequate time to recover (the first two days), in the middle of the week, high volume and intensity can be applied, and the last two days can be used to reduce the load and prepare for the game (tapering). [19]. Consequently, this high load provokes higher wellness score responses and favors the occurrence of correlations.