Although data currently exists pertaining to the intensity in the women’s football match, the knowledge about training is still scarce. Therefore, the aim of this study was to quantify external (locomotor activity) and internal (psychophysiological) intensities, as well as the wellness profile of the typical microcycle from professional female soccer players during the 2019/20 in-season. Ten players (24.6 ± 2.3 years) from an elite Portuguese women soccer team participated in this study. All variables were collected in 87 training session and 15 matches for analysis from the 2019–2020 in-season. Global positioning variables such total distance, high-speed running, acceleration, deceleration and player load were recorded as intensity while Rated Perceived Exertion (RPE) and session-RPE were recorded as internal measures. The Hooper Index (HI) was collected as a wellness parameter. The results showed that internal and external intensity measures were greater in matches compared to trainings during the week (match day minus [MD-], MD-5, MD-4, MD-2), p < 0.05 with very large effect size (ES). In the same line, higher internal and external intensity values were found in the beginning of the week while the lowest values were found in MD-2 (p < 0.05, with very large ES). Regarding wellness, there was no significant differences in the HI parameters between the training days and match days (p > 0.05). This study confirmed the highest intensity values during MD and the lowest on the training session before the MD (MD-2). Moreover, higher training intensities were found in the beginning of the training week sessions which were then reduced when the MD came close. Wellness parameters showed no variation when compared to intensity measures. This study confirmed the hypothesis regarding internal and external intensity but not regarding wellness.

This study aimed to analyze anthropometric and body composition effects in professional soccer women players across the early and mid-competitive 2019/20 season. Seventeen players (age, height, body mass, and body mass index of 22.7 ± 6.3 years, 167.5 ± 5.6 cm, 60.7 ± 6.6 kg and 21.6 ± 0.2 kg/m²) from a Portuguese BPI League team participated in this study. The participants completed ≥80% of 57 training sessions and 13 matches. They were assessed at three points (before the start of the season (A1), after two months (A2), and after four months (A3)) using the following variables: body fat mass (BFM), soft lean mass (SLM), fat-free mass (FFM), intracellular water (ICW), extracellular water (ECW), total body water (TBW), and phase angle (PhA, 50 Khz), through InBody S10. Nutritional intake was determined through a questionnaire. Repeated measures ANCOVA and effect sizes (ES) were used with p < 0.05. The main results occurred between A1 and A2 for BFM (−21.7%, ES = 1.58), SLM (3.7%, ES = 1.24), FFM (4%, ES = 1.34), ICW (4.2%, ES = 1.41), TBW (3.7%, ES = 1.04). Furthermore, there were significant results between A1 and A3 for FFM (4.8%, ES = 1.51), ICW (5%, ES = 1.68), and PhA (10.4%, ES = 6.64). The results showed that the water parameters improved over time, which led to healthy hydration statuses. The training load structure provided sufficient stimulus for appropriate physical fitness development, without causing negative disturbances in the water compartments.

The internal intensity monitoring in soccer has been used more in recent years in men’s football; however, in women’s soccer, the existing literature is still scarce. The aims of this study were threefold: (a) to describe the weekly variations of training monotony, training strain and acute: chronic workload ratio through session Rated Perceived Exertion (s-RPE); (b) to describe weekly variations of Hooper Index [stress, fatigue, Delayed Onset Muscle Soreness (DOMS) and sleep]; and (c) to compare those variations between playing positions and player status. Nineteen players (24.1 ± 2.7 years) from a Portuguese BPI League professional team participated in this study. All variables were collected in a 10-week in-season period with three training sessions and one match per week during the 2019/20 season. Considering the overall team, the results showed that there were some associations between Hooper Index categories and s-RPE like stress or fatigue (0.693, p < 0.01), stress or DOMS (0.593, p < 0.01), stress or s-RPE (−0.516, p < 0.05) and fatigue or DOMS (0.688, p < 0.01). There were no differences between all parameters in playing positions or player status. In conclusion, the study revealed that higher levels of fatigue and DOMS occur concurrently with better nights of sleep. Moreover, any in-season variations concerning internal load and perceived wellness seems independent of position or status in outfield players. The data also showed that the higher the players’ reported stress, the lower the observed s-RPE, thus possibly indicating a mutual interference of experienced stress levels on the assimilation of training intensity by elite women soccer players.

Background and Objectives: Research on female soccer players that analyzes playing status is scarce and has previously only examined load monitoring, while other markers, such as physical (i.e., strength, power, and agility), physiological (i.e., maximal oxygen uptake), and body composition (i.e., body fat mass, fat-free mass, body water, and phase angle) markers, warrant further investigation. Thus, the study aims were to (a) compare physical, physiological, body composition, and load markers between starters and non-starters; (b) compare measurements pre- and post-training intervention (five weeks); and (c) analyze any relationships between physical, physiological, body composition, and load markers in an elite female soccer team. Materials and Methods: Fourteen first-team players participated in the study (age 23.29 ± 3.19 years, weight 59.14 ± 6.87 kg, height 1.66 ± 0.08 m). Several physical (n = 15), physiological (n = 1), body composition (n = 11), and load markers (n = 14) were collected. In addition, participants were sub-divided into starters (n = 7) and non-starters (n = 7). Results: No differences were revealed between starters and non-starters in any of the examined variables. Moreover, following the training intervention, a significantly lower value was found for total body water/fat-free mass ratio (p = 0.043; ES = 0.582). In addition, there were several correlations detected between load and physical/physiological markers (n = 28); load and body composition markers (n = 6); physical/physiological and body composition markers (n = 34); and physical and physiological markers (n = 42). Conclusions: In conclusion, only a slight tendency of higher load values for starters than non-starters was observed. In addition, no differences in physical, physiological, and body composition markers were found between starters and non-starters, possibly suggesting that five weeks were not enough to improve such variables. Finally, the present results provide novel information assessing the effects of the pre-season in elite female Portuguese soccer players and contribute to a better understanding of the associations between different types of measurements.

Introduction: Football is a complex and dynamic sport in which motor coordination plays a fundamental role in player development, contributing to the acquisition of technical skills, movement efficiency, and adaptability to dynamic game environments. Objective: This systematic review aimed to analyze the effects of specific coordination training on the performance of youth football players. Methodology: A systematic search was conducted in PubMed, Scopus, Web of Science, and SPORTDiscus following the PRISMA 2020 guidelines. Studies were selected if they included youth football players (6–18 years old) and involved interventions specifically aimed at developing coordination. Methodological quality and the participants' competitive level were assessed using the Downs and Black (1998) scale and the DeWeese et al. (2015) classification framework, respectively. Results: Specific coordination training improved technical skills, agility, balance, and general motor coordination in young players. The four included studies scored between 20 and 23 points (good quality). The most frequently used instruments were standardized tools (MABC-2, KTK) and ball-specific coordination tasks. Discussion: The results are consistent with the literature regarding the positive effects of coordinative training; however, the heterogeneity in protocols and assessment methods limits direct comparison between studies. The competitive level of the participants was identified as a relevant moderating factor. Conclusions: Coordination-focused interventions appear to be effective in improving performance variables in youth football players. It is recommended to standardize assessment protocols, consider the competitive level when interpreting results, and explore the long-term effects of coordination-based training programs.

This study aimed to quantify the absolute and relative data across a typical microcycle (MC) in female professional soccer players utilizing a match day minus (MD-) approach. Ten players (24.7 ± 2.6 years) from an elite female Portuguese team participated in this case study. Data was analyzed in absolute or relativized values (per minute) and included the following metrics: duration, total distance, high-speed running distance (HSR, >15 km/h), number of accelerations (ACC, >1–2 m.s⁻² [ACC1]; >2–3 m.s⁻² [ACC2]; >3–4 m.s⁻² [ACC3]; >4 m.s⁻² [ACC4]) and decelerations (DEC, <1–2 m.s⁻² [DEC1]; <2–3 m.s⁻² [DEC2]; <3–4 m.s⁻² [DEC3]; <4 m.s⁻² [DEC4]). Total distance showed a significant difference between MD-4 and MD-2 (p = 0.047, moderate effect), which presented the lowest value of all MC days, while MD presented the highest value of HSR compared to all training days (p < 0.001, large to very large effect) for both absolute and relativized data. Relative data showed higher values for MD-5 with significant differences during MD-2 for ACC1, ACC2, DEC1, and DEC2 (p < 0.01, large to very large effect), while absolute data showed higher values during MD-4 for ACC2, DEC1, and DEC2 (p < 0.01, large to very large effect). Absolute ACC3 was higher during MD-3, denoting significant differences from MD-2 (p = 0.002, large effect). This study highlighted that it is possible to train, in specific sessions, with identical loading patterns of match play, specifically for ACC and DEC metrics. However, HSR distance was found to be higher during MD, while training values were significantly lower.