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This study aimed to explore the relevance of the relative age effect (RAE), maturity status and anthropometry, and their influence on coaches’ assessment of players’ performance, analyzing both genders and different types of academies (elite vs. non-elite). The sample included 603 soccer players (385 male), from the under 12 (U12), under 14 (U14) and under 16 (U16) categories, belonging to elite and nonelite teams. Coaches’ assessment of players’ performance, chronological age, anthropometric characteristics, maturity offset (MO) and peak height velocity (PHV) were registered. Our results showed that RAE was present in both genders within the elite, but not in the nonelite academies. Early maturity players were overrepresented in the male elite, but not in the female academies. No relationship was found between RAE and anthropometry in male elite academies. Male elite players showed better anthropometric characteristics than nonelite players, while this pattern of results was not found for female players. The coaches’ assessment on players’ current performance was not influenced by the chronological age nor anthropometry, but it was linked to the PHV. Coaches from nonelite academies rated better in current assessment of performance the taller players. Our findings suggest that maturity status and RAE play an independent and important role in the talent selection process.

Physical inactivity is a worldwide public challenge and a leading risk factor for overweight and obesity. Despite the well-recognized benefits of physical activity (PA), only 29% of European youth meet recommended guidelines of at least 60 minutes of daily moderate-to-vigorous PA. The school setting provides an ideal environment to promote healthy lifestyles among young people as initiatives can target all students and the whole school community. The main goal of the EUMOVE project is to design and implement a comprehensive set of strategies and resources to enable the educational community to promote healthy lifestyles in order to reduce risk factors for non-communicable diseases. EUMOVE project (https://eumoveproject.eu/) is a 3-year project delivered by a collaboration between academic and non-governmental institutions from Spain, Portugal, France, Italy, and the United Kingdom. The direct beneficiaries of the project will include school leaders, teachers, and parents, and indirect beneficiaries will be primary and secondary students. EUMOVE project will develop a set of strategies and resources such as Physically Active Lessons Toolkit, Real Time Active Breaks Platform, Active School Commuting Toolkit, Learning Units about healthy lifestyles promotion, School Leaders toolkit, Parents Toolkit about promoting healthy lifestyles, and Mobile phone APP. Project dissemination will be implemented across each partner region and includes: Online dissemination through a learning platform, scientific events aimed at teachers and researchers, workshops with teachers including training on how to use the teaching resources, and Workshops with parents providing recommendations for promoting healthy lifestyle in their children. Thus, the EUMOVE project offers evidence-based and innovative resources to be applied by the educational community in the real-world setting to promote PA levels, appropriate diet and sleep habits, and reduce sedentary time amongst children and adolescents across a number of European countries.

The aim of this study was to compare the agreement of the movement demands data during a soccer match (total distance, distance per minute, average speed, maximum speed and distance covered in different speed sectors) between an optical tracking system (Mediacoach System) and a GPS device (Wimu Pro). Participants were twenty-six male professional soccer players (age: 21.65 ± 2.03 years; height: 180.00 ± 7.47 cm; weight: 73.81 ± 5.65 kg) from FC Barcelona B, of whom were recorded a total of 759 measurements during 38 official matches in the Spanish second division. The Mediacoach System and the Wimu Pro were compared using the standardized mean bias, standard error of estimate, intraclass correlation coefficients (ICC), coefficient of variation (%), and the regression equation to estimate data for each variable. In terms of agreement between systems, the magnitude of the ICC was almost perfect (> 0.90-1.00) for all variables analyzed. The coefficient of the variations between devices was close to zero (< 5%) for total distance, distance per minute, average speed, maximum speed, and walking and jogging, and between 9% and 15% for running, intense running, and sprinting at low and at high intensities. It can be observed that, compared to Wimu Pro the Mediacoach System slightly overestimated all the variables analyzed except for average speed, maximum speed, and walking variables. In conclusion, both systems can be used, and the information they provide in the analyzed variables can be interchanged, with the benefits implied for practitioners and researchers.

The aim of this study was to analyze the degree of agreement comparing number and distance covered in different acceleration and deceleration sections registered by a video tracking system (MEDIACOACH) and a GPS device (WIMU PRO) during official competition. Data from a Spanish professional club were registered over the course of a season. First, the descriptive statistics presented more bursts of accelerations and decelerations in WIMU PRO than in MEDIACOACH, whereas the distances covered recorded by both systems were similar. Second, negative relationships were found (i.e., negative bias) comparing WIMU PRO to MEDIACOACH in the number of accelerations and decelerations between 0/1 m/s 2 and ½ m/s 2 ( p  < 0.05), and in the distances covered in accelerations and decelerations ( p  < 0.05) between 0/1 m/s 2 and in accelerations and decelerations registered between 2/3 m/s 2 and more than 3 m/s 2 . Moreover, the differences in means (i.e., standardized mean bias) across the two devices were trivial (> 0.19) and small (0.2–0.59) for most variables. The standardized typical errors in the estimate (TEE) were moderate (0.3–0.59) and small to moderate (0.1–0.29 to 0.3–0.59), respectively. Also, the Intra class Correlation Coefficients (ICCs) for agreement and consistency between systems showed good and excellent values (> 0.90). The magnitude of change in means (%) between systems, defined as the percentage change between the numbers or values, was below 14% and 7% for number and distances covered, respectively. All scores in the smallest worthwhile change were lower than 9% and in the coefficients of variation were lower than 95% and 15%, respectively. Thus, both systems demonstrated an acceptable degree of agreement and could be useful in analyzing players’ acceleration demands in professional soccer. However, caution is required when interpreting the results and a comparison with a gold standard is required in order to validate both systems.

Mental load and fatigue are important causes of performance decreases and accidents in different activities. However, a robust systematic review, detailing the instruments used to quantify them, is currently lacking. The purpose of this study was to summarize and classify by derivations the validated instruments used to quantify mental load and fatigue. The most representative electronic databases in the scope of this review, PubMed, WOS, Scopus, SPORTDiscus, and PsycINFO (until September 2020) were searched for studies that included instruments to analyze mental load and fatigue. The quality of the selected studies was scored using a quality assessment checklist. A total of 40 papers were included. Most of the papers used subjective scales (75%) to quantify mental load and fatigue, with a small presence of behavioral (n = 5) and objective techniques (n = 5). Less is known about the analysis of mental load and fatigue using a combination of derivations. Despite the high cost and complexity of objective techniques, research that applies these measures is important for further analysis of brain processes in mental load and fatigue. The design of a battery of tests that include the three types of derivations also seems necessary.

The aim of this study was threefold: (i) to analyze the influence of previous match outcome on subsequent weekly training load (TL); (ii) to examine whether accumulated weekly TL varies throughout the season; and (iii) to investigate the influence of performance streaks got during competition on subsequent weekly TL. Twenty-one Spanish male professional soccer players from the same team were involved in the study. Total distance (TD), medium-speed running (MSR, distance 10.8–18.0 km·h−1), high-speed running (HSR, >21 km·h−1), very high-speed running (VHSR, 18.0–25.2 km·h−1), sprinting speed running distance (sprint, >25.2 km·h−1), player load (PL), number of accelerations (ACC), and decelerations (DEC) were recorded during training sessions using 10 Hz GPS devices. Previous match outcome, period of the season, and the performance streaks were also considered. Linear mixed models showed that team covered significantly less TD during the week after draw than after win (p < 0.05). In addition, most of the variables decreased as the season progressed. Finally, after medium-performance streaks, team covered significantly higher TD compared to high-performance streaks (p < 0.05) and low performance streaks (p < 0.01). These findings showed that low-performance streaks could reduce weekly external TL.

Within the context of the transition from junior-to-senior sport, this study aims in first place to explore differences in young Spanish elite soccer players based on the importance given to getting different achievements in their future (including sport, studies and private life) and, in second place, to explore differences among those players in levels of passion, motivation and basic psychological need. 478 elite youth soccer filled out a questionnaire based on the presented theoretical models. A cluster analysis shows a sport oriented group (N = 98) only interested in becoming a professional, a life spheres balance group (N = 288) characterized by balancing the importance of achievements in the sport sphere, as well as in education and a private life and a group (N = 91) only interested in private life achievements. The life spheres balance group shows higher levels of harmonious passion (η2 = .06, F(2, 475) = 9.990, p < .001) than the players of the other groups. The life spheres balance group shows higher levels of autonomous motivation (η2 = .10, F(2, 475) = 13.597, p < .001), autonomy (η2 = .07, F(2, 475) = 6.592, p < .01) and relatedness satisfaction (η2 = .07, F(2, 475) = 5.603, p < .01) than the sport oriented group as well as lower levels of amotivation (η2 = .04, F(2, 475) = 6.665, p < .01) than the private life oriented group. This study suggests players who perceive equal future importance in their life spheres appear to be more resourceful than the other two groups regarding athletes’ internal resources, such as passion and motivation, to cope with the transition to professional soccer.

This study aimed (i) to analyze the relationship between weekly accumulated training load (TL) and match physical demands in the same week and (ii) to describe the training/match ratios of different external load measures considering variations across different training days. Twenty-one Spanish male professional soccer players were involved in the study. Total distance (TD), medium speed running (MSR, distance 10.8–18.0 km·h−1), high-speed running (HSR, >21 km·h−1), very high-speed running (VHSR, 18.0–25.2 km·h−1), sprinting-speed running distance (Sprint, >25.2 km·h−1), player load (PL), number of accelerations (ACC), and decelerations (DEC) were recorded during training sessions and matches using 10 Hz GPS devices. Correlations between the weekly TL and match physical demands were trivial and negative for TD (r = −0.08) and PL (r = −0.05); trivial and positive for MSR (r = 0.02), HSR (r = 0.07), Sprint (r = 0.09), and DEC (r = 0.06); and small and positive for VHSR (r = 0.22) and ACC (r = 0.19). The greatest TD, MSR, VHSR, Sprint, HSR, and PL values and their derivate ratios occurred in MD–3. The present study highlights the need for soccer athletes to be exposed to similar demands to those observed during matches.

While the interest and professionalization of padel around the world, and the importance of mental fatigue in sport science literature are both on the rise, not much is known about how mental fatigue impacts padel‐specific performance. Forty‐eight male elite youth players (18 ± 2 y) participated in this randomized counterbalanced crossover study. The players visited the laboratory on three separate occasions: familiarization, control (i.e., 30‐min documentary), and mental fatigue (i.e., 30‐min incongruent Stroop) condition. The participants' perceived mental fatigue, vigilance (i.e., Psychomotor Vigilance Test) and response inhibition (i.e., Stroop task) were assessed as markers of mental fatigue. The Padel accuracy was evaluated using a validated padel‐specific performance task that includes the usage of different strokes (i.e., drive, drive volley, bandeja, and drive attack after the use of the glass). All these variables were assessed pre‐ and post‐ both the control and mentally fatiguing task. A condition × time interaction was found for perceived mental fatigue, the Stroop performance and PVT reaction time (p < 0.001) and for padel‐specific accuracy on all strokes (p < 0.001). The perceived level of mental fatigue increased, while PVT reaction time and Stroop performance (i.e., amount of words) were impaired in time only in the mental fatigue condition. The accuracy of all padel strokes was significantly impaired from pre to post only in the mental fatigue condition (p < 0.050). In conclusion, mental fatigue impairs padel‐specific accuracy in young elite male padel players. Consequently, we recommend coaches to consider the level of mental fatigue during padel trainings and competitions. Highlights The result of the present study shows that mental fatigue induced by a 30‐min incongruent Stroop task, impaired the accuracy and the speed of different padel‐specific strokes in youth‐elite male players. The presence of mental fatigue during official padel competitions has been previously confirmed. Then, it might of course impact the outcome of the match, as the number of forced and unforced errors or the speed of the shots are important indicators of padel‐specific performance. This information highlights the need for coaches and staff to consider the amount of mental fatigue generated during padel trainings and matches. Coaches are able to modulate the level of mental fatigue of the trainings.