Objectives: This study aimed to compare the worst-case scenario (WCS; i.e., 1-min) demands, in terms of distance covered and the number of times exceeding 85% of WCS demands, across soccer playing positions and match periods. Methods: A total of 67,518 records from 380 soccer matches during the 2023/24 season of the First Spanish Division were collected. Match events were tracked using the optical tracking system ChyronHego^® (TRACAB Gen5, NY, USA) and synchronized with Mediacoach software (LaLiga, Madrid, Spain). Total distance (TD), very high-speed running (VHSR), and sprint distance were considered, and all analyses were performed using linear mixed models (LMM). Results: Center-backs (CBs) exhibited significant differences (p < 0.001) in TD compared to all other positions. Regarding actions exceeding 85% of the 1-min WCS for TD, full-backs (FBs) showed significant differences compared to CBs (p < 0.001), midfielders (MDs; p < 0.001), and attacking midfielders (AMs; p < 0.001). In terms of VHSR, significant differences were observed between MDs and wingers (Ws; p < 0.05). In relation to match periods, during 15–30, CBs demonstrated significant differences compared to all other positions for actions exceeding 85% of the 1-min WCS in TD. Conclusions: These findings suggest that training protocols could be adjusted to account for specific positional demands, particularly focusing on high-speed running and sprint actions.

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.

Context: When soccer players reach high speeds, the hamstring complex is exposed to injury, with sprinting being the mechanism for 70% of injuries suffered in this muscle group. Objective: To examine and summarize the impact of hamstring injuries on match running performance in elite male soccer players. Data Sources: An electronic database search (Web of Science, Scopus, SportDiscus, and PubMed) was conducted (until December 12, 2023). Study Selection: Potential studies were searched by using the following keywords: “monitoring,” “quantification,” “hamstring injuries,” “injuries,” “recovery,” “rehab,” and “return to play.” The next criteria were also added: professional male soccer, studies reported pre- to postinjury values, included data from matches. Study Design: Systematic review. Level of Evidence: Level 3. Data Extraction: A total of 4082 papers were reviewed and after 2 screening phases, only 5 papers were selected. Results: A total of 169 hamstring injuries were analyzed (from 18 to 72 in each included study), and a total of 136 matches were included (from 10 to 81 in each included study). This review showed that high-speed running (HSR) distance was the variable reported most frequently. Overall, a decrease in match running performance was found after hamstring injuries compared with baseline values. Conclusion: Hamstring injuries impact negatively on soccer players’ physical performance, particularly in variables related to HSR. These findings have implications for practitioners regarding the management of player participation after returning to play in terms of volume (ie, minutes), but should be taken with caution due to the limited number of studies included in the present systematic review.

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.

This study aimed to quantify the influence of the playing surface on workload-related variables (i.e., external load, Rate of perceived exertion (RPE), and mental load) in training sessions with a Spanish professional soccer team. Twenty professional male players from the same soccer team were involved. A total of thirty training sessions related to the preseason period were included. All the players completed training sessions on three playing surfaces: natural turf of poor quality, natural turf of high quality, and third-generation artificial turf. Monitoring during sessions involved assessing internal load (i.e., RPE and mental load) via self-reported questionnaires, and external load using Global Positioning System devices. Linear mixed models showed that RPE was significantly higher on natural turf of high quality than on natural turf of poor quality (p < 0.001). Total distance, relative total distance, the number of accelerations, decelerations, and high metabolic load distance were significantly lower on third-generation artificial turf compared to natural turf of poor quality (p < 0.001) and high quality (p < 0.001). In addition, high-speed running, sprint running distances, and the number of sprints reached higher values on third-generation artificial turf compared to the other two playing surfaces. These findings highlight the need for coaches to consider the type of training surface in soccer to optimize training load planning and prevent injuries.

1. Football is a complex team sport in which performance is reliant on a myriad of multidisciplinary factors (i.e. physical, technical, tactical, and psychological) (Stølen et al., 2005). Indeed, p...