Physical performance during a soccer match is highly variable and depends on many factors, such as match intensity, period of the season, age, and playing positions, among others. In contrast, besides scoring the goals, accelerations, decelerations, the number of sprints and distance covered greater than 18 km/h, and other running metrics variables seem to be the key factors to succeed in professional soccer matches ( Mara et al., 2015 Abbott et al., 2018). The low-intensity running performance has not been found determinant in intra-game comparisons, as shown in the published studies ( Di Salvo et al., 2010 Modric et al., 2019). The available scholarly literature computed a total and relative distance covered during the game between ∼8,000 and 10,500 m, with a range of ∼100–120 m/min per match ( Reinhardt et al., 2019). The studies of performance analyses showed that soccer match requires many physically demanding performances. Due to the difficulties and challenges in conducting physiological measurements during a match, studies interested in the time-motion analysis used running performance and factors affecting performance outcomes to infer the metabolic profiles of soccer matches ( Anderson et al., 2019 Gantois et al., 2020). The performance analysis of soccer matches has been increasingly utilized during the previous years for this purpose ( Sarmento et al., 2008 Enes et al., 2021). In quest of best performance, soccer athletes, coaches, and physical trainers have to decide how and when they have to invest their energy ( Akubat et al., 2018). Studying the determinants of performance outcomes and recoveries of professional soccer players, such as sprints, accelerations, decelerations, changes in direction, jump movement patterns, technical skills, and tactical actions associated with high-intensity efforts translated into metrics, could potentially be useful to inform the construction of specific conditioning drills in an evidence-based fashion ( Ade et al., 2016). These results could be used to adopt specific training programs and recovery strategies after match according to the playing positions. Strikers and Defenders demonstrated lower load/min than Wingers, Midfielders, and Forwards. Moreover, Midfielders (108.6 ± 5.6 m/min) and Forwards (109.1 ± 8.3 m/min) had a higher relative distance vs. Findings demonstrated that Ck concentrations were higher at all postgame moments when compared with pregame, with incomplete recovery markers being identified up to 24 h after the game (range: 402–835 U/L). Blood Ck concentration was measured pre-, immediately post-, and 24 h postgame, and the GPS-accelerometry parameters were assessed during games. A sample composed of 118 observations of 24 professional soccer teams of the Brazil League Serie A was recruited and classified according to playing positions, i.e., Left/Right Defenders ( D = 30, age: 25.2 ± 5.8 years, height: 187 ± 5.5 cm, weight: 80 ± 5.8 kg), Offensive Midfielders (OM = 44, age: 25.1 ± 0.2 years, height: 177 ± 0.3 cm, weight: 73 ± 1.2 kg), Forwards ( F = 9, age: 25.1 ± 0.2 years, height: 176.9 ± 4.3 cm, weight: 74.5 ± 2.1 kg), Left/Right Wingers ( M = 23, age: 24.5 ± 0.5 years, height: 175 ± 1.1 cm, weight: 74 ± 4.4 kg), and Strikers ( S = 12, age: 28 ± 0.2 years, height: 184 ± 1.0 cm, weight: 80 ± 1.4 kg). This study aimed to determine the impact of a soccer game on the creatine kinase (Ck) response and recovery and the specific Global Positioning System (GPS)-accelerometry-derived performance analysis during matches and comparing playing positions. 6Escuela de Kinesiología, Facultad de Salud, Universidad Santo Tomás, Santiago, Chile. 5Postgraduate Program in Physical Education, School of Physical Education and Sports, Federal University of Juiz de Fora, Juiz de Fora, Brazil.
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