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Trimps game science 2 challenge4/5/2023 In fact, 30–50% of injuries are estimated to result from overuse during training and therefore, it is important to emphasize the correct monitoring of training variables (i.e., load) to optimize growth, development, and fundamental movement skills by reducing injury risk and rate ( Fort-Vanmeerhaeghe et al., 2016). It is recommended to monitor young soccer players during training because an adequate load is essential for short-term performance development as well as for enabling the future potential of these athletes ( Ehrmann et al., 2016). Thus, understanding and monitoring training programs of soccer players are crucial to ensure that an optimal training load is applied ( Gabbett and Ullah, 2012). However, an appropriate balance between training, competition, and recovery is required to reach peak performances with minimal injury rates, but this is an elusive goal. To be prepared for these requirements, it is recommended that soccer players train several times during the week and, to increase the chances of success, coaches implement specific training loads to challenge the boundaries of what players can achieve without exceeding what their bodies can tolerate ( Ehrmann et al., 2016 Bowen et al., 2017). There is evidence that injury rates are particularly high during puberty ( Fort-Vanmeerhaeghe et al., 2016). This is particularly important in youth soccer given that growth and maturation in general and the individual timing and tempo of these two factors additionally predispose players to injury. The importance of adequate training regimes during pre- and in-season is required so that athletes are well-prepared for the season. In contemporary soccer, it is important to understand the sport-specific physiological demands for performance development and injury prevention as the game has become much faster and demanding over the past two decades (e.g., soccer players typically run ~11 km per game with 30–40 short sprints, ~600 accelerations, ~25 high-intensity accelerations, ~600 decelerations, ~45 high-intensity decelerations, and more than 1,300 change of direction activities) ( Barnes et al., 2014 Andrzejewski et al., 2015 Russell et al., 2016). In conclusion, the results of this study showed that the ACWR EWMA model is more sensitive than ACWR RA to identify non-contact injury occurrence in male team soccer players during a short period in the competitive season. Explained variance ( r 2) for non-contact injury was significantly greater using the ACWR EWMA model (ranging between 21 and 52%) compared with ACWR RA (ranging between 17 and 39%). In addition, small-to-medium correlations were detected between ACWR and non-contact injury occurrence (ACWR RA, r = 0.31, p = 0.05 ACWR EWMA, r = 0.53, p = 0.03). There were also significant positive correlations between sRPE and training time ( r = 0.411, p = 0.039), ACWR RA ( r = 0.47, p = 0.049), and ACWR EWMA ( r = 0.51, p = 0.038). The results showed that over the course of the study, the number of non-contact injuries was significantly higher than that for contact injuries (2.5 vs. The rate of injury was recorded for each soccer player over a period of 4 weeks (i.e., 28 days) using a daily questionnaire. In addition, training impulse (TRIMP), monotony, and strain were subsequently calculated. During each training session and each weekly match, training time and sRPE were recorded. Twenty-two players were enrolled in this study and performed four training sessions per week with 2 days of recovery and 1 match day per week. This study aimed to investigate the relationship between the acute to chronic workload ratio (ACWR), based upon participant session rating of perceived exertion (sRPE), using two models and the injury rate in young male team soccer players aged 17.1 ± 0.7 years during a competitive mesocycle. 7M2S (Laboratoire Mouvement, Sport, Santé)-EA 1274, Univ Rennes, Rennes, France.
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