Percorrer por autor "Campos, Pedro"
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- The Aging Curve: How Age Affects Physical Performance in Elite FootballPublication . Branquinho, Luís; França, Elias; Titton, Adriano; Barros, Luís Fernando Leite; Campos, Pedro; Marques, Felipe O.; Glória, Igor Phillip dos Santos; Caperuto, Erico Chagas; Hirota, Vinicius Barroso; Teixeira, José Eduardo; Forte, Pedro; Monteiro, António M.; Ferraz, Ricardo; Thomatieli-Santos, Ronaldo VagnerBackground: In elite football, understanding how age impacts players’ physical performance is essential for optimizing training, career longevity, and team management. Objectives: This study aimed to compare variations in physical capabilities of professional football players by chronological age and identify peak performance ages. Methods: Data from 5203 match performances across 351 official games were analyzed, involving 98 male players aged 18–39 years. Physical capacities (speed, explosive actions, and endurance) were assessed using the Catapult VECTOR7 system. Results: showed that players over 32 years experienced declines in high-intensity and explosive actions, while endurance remained relatively stable with age. Peak performance occurred around 25.7 years for speed, 24.8 years for endurance, and 26 years for explosiveness. Conclusions: Overall, players aged 17–26 years demonstrated the highest physical performance, with notable declines observed in older age groups.
- The Aging Curve: How Age Affects Physical Performance in Elite FootballPublication . Branquinho, Luís; França, Elias de; Titton, Adriano; Barros, Luís Fernando Leite de; Campos, Pedro; Marques, Felipe O.; Glória, Igor Phillip dos Santos; Caperuto, Erico Chagas; Hirota, Vinicius Barroso; Teixeira, José Eduardo; Forte, Pedro; Monteiro, António M.; Ferraz, Ricardo; Thomatieli-Santos, Ronaldo VagnerBackground: In elite football, understanding how age impacts players' physical performance is essential for optimizing training, career longevity, and team management. Objectives: This study aimed to compare variations in physical capabilities of professional football players by chronological age and identify peak performance ages. Methods: Data from 5203 match performances across 351 official games were analyzed, involving 98 male players aged 18-39 years. Physical capacities (speed, explosive actions, and endurance) were assessed using the Catapult VECTOR7 system. Results: showed that players over 32 years experienced declines in high-intensity and explosive actions, while endurance remained relatively stable with age. Peak performance occurred around 25.7 years for speed, 24.8 years for endurance, and 26 years for explosiveness. Conclusions: Overall, players aged 17-26 years demonstrated the highest physical performance, with notable declines observed in older age groups.
- Identifying Optimal Pitch Training Load in Elite Soccer PlayersPublication . Titton, Adriano; França, Elias; Branquinho, Luís; Barros, Luís Fernando Leite; Campos, Pedro; Marques, Felipe O.; Glória, Igor Phillip dos Santos; Caperuto, Erico Chagas; Hirota, Vinicius Barroso; Teixeira, José Eduardo; Valente, Nelson; Forte, Pedro; Ferraz, Ricardo; Thomatieli-Santos, Ronaldo Vagner; Teoldo, IsraelThere are no data in the literature regarding the optimal pitch training load (PTL) for elite soccer teams during congested seasons. This study had three goals: (1) identify whether there is an adaptation in match physical performance (MPP) in response to PTL throughout a congested season in elite soccer players; (2) identify whether MPP adaptation is specific to the coach’s PTL philosophy; and (3) identify the optimal PTL for MPP during a congested season. Over two seasons, we collected data from 11,658 PTL sessions and 3068 MPP data from 54 elite male soccer players. The PTL sessions were clustered in weekly training blocks and paired with MPP for statistical and machine learning analysis. Over the season, MPP increased in the mid-season and this trend decreased during the end-season. Also, MPP reflected the coach’s PTL philosophy. Further, using a machine learning (k-means) approach, we identified three different PTLs (and classified them as low-, medium-, and high-load PTL blocks). The high-load PTL block was associated with a higher MPP, while the lower PTL was associated with a lower MPP. PTL is closely related to MPP, and this change also reflects the coach’s PTL philosophy. Here, we report an optimal PTL that could be useful for soccer teams playing a congested season.
- Identifying the ideal weekly training load for in-game performance in an elite Brazilian soccer teamPublication . Branquinho, Luís; França, Elias; Teixeira, José Eduardo; Titton, Adriano; Barros, Luís Fernando Leite; Campos, Pedro; Marinho, D.A.; Forte, Pedro; Caperuto, Erico Chagas; Santos, Ronaldo Vagner Thomatieli; Ferraz, RicardoIntroduction: The purpose of this study was to investigate the ideal training load to be applied during periods of fixture congestion to ensure an adequate dose-response effect for performance maintenance. Methods: Match performance data and corresponding pre-match training load sessions (both N = 498 match performance cases and training-block session cases) were collected (with the catapult system, VECTOR7) from 36 male professional soccer players (23.5 +/- 5.2 years; 178 +/- 4 cm; 75.5 +/- 6.0 kg) belonging to the Brazilian First Division team during the 2022 season. The following data were collected in match and training sessions: jump, acceleration, deceleration, and change of direction (COD); running distance producing metabolic power at different intensities (>20, >20-35, >35-45, >45-55, and >55 W kg(-1)), total distance (m), relative distance (m/min), running distance at different speeds (>20, >25, and >30 km/h), number of sprints (running >25 km/h), and maximum speed (km/h). Mixed linear model (MLM), decision tree regression (DTR), and cluster K means model (SPSS v.26) approach were performed to identify the most critical variables (and their respective load) in the training sessions that could explain the athlete's match performance. Results: MLM and DTR regression show that training load significantly affects game performance in a specific way. According to the present data, an interference phenomenon can occur when a high load of two different skills (running in a straight line vs COD, deceleration, and jumping) is applied in the same training block of the week. The cluster approach, followed by a chi-squared test, identified significant associations between training load and athlete match performance in a dose-dependent manner. Discussion: The high load values described here have a beneficial effect on match performance, despite the interference between stimuli discussed above. We present a positive training load from a congested season from the Brazilian First Division team. The study suggests that an interference effect occurs when high physical training loads are applied to different specific physical skills throughout the season.