Percorrer por autor "Marques, Felipe O."
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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.