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The aims of this study were to: a) examine the relationships between high-intensity distances covered above generic and relative speed thresholds in English Premier League (EPL) matches across two consecutive seasons and b) analyze the effects of playing position and team possession. Sixteen elite male soccer players (seven defenders, six midfielders and three forwards) participated in this study (age 27.8 ± 3.5 years, height 183.7 ± 5.4 cm, body mass 83.9 ± 7.1 kg). An Optical Tracking System was used to collect the following variables: total distance covered; high-speed running distance (HSRD) (> 5.5 m/s); high-intensity running distance (HIRD) (5.5--7 m/s); sprint distance (> 7 m/s); total distance covered above Maximal Aerobic Speed (MAS); distance covered > 85% peak speed (PS); and distance > 30% Anaerobic Speed Reserve (ASR). All measures were analyzed as whole match totals and as distances covered in the periods of the team in possession (TIP), opponent team in possession (OTIP), and ball out of play (BOP). Analysis by position based on defenders, midfielders and forwards was also performed. Distance > 30% ASR was almost perfectly correlated with HSRD (r = 0.98), while distances > MAS were highly correlated with both HIRD (r = 0.91) and HSRD (r = 0.91), and distance > 85% PS were highly correlated with SD (r = 0.70). Although the generic and relative speed thresholds show almost perfect correlation, the differences between HSRD, HIRD and distance > MAS indicate that players may be exposed to more HIRD when using relative thresholds. [ABSTRACT FROM AUTHOR]

Objectives: To explore the differences in training and match load in English Premier League (EPL) 1st team and U23 players. Identifying differences in relative and absolute physical outputs in relation to Maximal Aerobic Speed (MAS) and Maximal Sprint Speed (MSS) and how this informs monitoring and training prescription. Methods: Two groups of full-time professional football players (1st team, n = 24 and U23 squad, n = 27) participated in this study. Training and match data were categorised into weekly blocks from Monday to Sunday. Each player's weekly total was then averaged to provide a squad average for each metric examined. Results: Match analysis identified significantly higher distance covered above 120% MAS and distance between 120% MAS and 85% MSS (p =.04, effect size [ES] = 0.64; p <.01, ES = 1.13) for the 1st team. Distance above 85% MSS was significantly higher for the U23's (p <.01, ES = 2.92). Training and match data during one-match weeks displayed significantly higher differences in all high-speed variables for 1st team players compared to U23 players (p ≤.05, ES = 0.82–1.78). Analysis of training and match data during a two-match week displayed no significant differences for all physical variables (p >.05). Conclusions: Practitioners should consider the utilisation of individual relative thresholds to identify differences between physical performance variables during training and matches for 1st team and U23 players. Utilising these comparisons to inform training design, could maximise players physical development and potential for successful transition. Importantly, these findings relate to only one EPL club and therefore practitioners should assess their own players' relative training and game outputs. [ABSTRACT FROM AUTHOR]

The authors aimed to quantify (a) the periodization of physical loading and daily carbohydrate (CHO) intake across an in-season weekly microcycle of Australian Football and (b) the quantity and source of CHO consumed during game play and training. Physical loading (via global positioning system technology) and daily CHO intake (via a combination of 24-hr recall, food diaries, and remote food photographic method) were assessed in 42 professional male players during two weekly microcycles comprising a home and away fixture. The players also reported the source and quantity of CHO consumed during all games (n = 22 games) and on the training session completed 4 days before each game (n = 22 sessions). The total distance was greater (p < .05) on game day (GD; 13 km) versus all training days. The total distance differed between training days, where GD-2 (8 km) was higher than GD-1, GD-3, and GD-4 (3.5, 0, and 7 km, respectively). The daily CHO intake was also different between training days, with reported intakes of 1.8, 1.4, 2.5, and 4.5 g/kg body mass on GD-4, GD-3, GD-2, and GD-1, respectively. The CHO intake was greater (p < .05) during games (59 ± 19 g) compared with training (1 ± 1 g), where in the former, 75% of the CHO consumed was from fluids as opposed to gels. Although the data suggest that Australian Football players practice elements of CHO periodization, the low absolute CHO intakes likely represent considerable underreporting in this population. Even when accounting for potential underreporting, the data also suggest Australian Football players underconsume CHO in relation to the physical demands of training and competition. [ABSTRACT FROM AUTHOR]

The technical and physical demands of elite soccer match-play may vary considerably across a season and from season-to-season in relation to a myriad of factors. The aim of this study was to investigate the technical and physical performance trends over five consecutive seasons (2016–2021) for twenty-two soccer players from a team participating in an elite European league, the Russian Premier League (RPL). Match data were recorded and analysed via an Optical Tracking System, and a selection of technical and physical performance variables were examined. From matches analysed, we observed small within-season changes (ES 0.17 to 0.37) for technical performance variables, and small to moderate changes (ES 0.31 to 0.86) for physical performance variables. Dribbles, percentage of successful dribbles, total distance covered, high-intensity and sprint distances, and maximal acceleration showed an average increase from the 2016–2017 to the 2018–2019 season, followed by a decrease in the subsequent seasons. Conversely, tackles, high-intensity accelerations and peak acceleration showed a decreasing trend from the 2016–2017 to the 2020–2021 season. Moderate to large correlations (r = −0.58 to 0.46) were apparent between changes in technical and physical variables. In summary, we observed between-season changes in match technical and physical variables in a RPL team, while there were no differences between the first and second phases of the season. The present findings may provide coaches with knowledge about long-term variations in technical and physical match performance, that can be practically useful to assess and interpret change in individual and team performance. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this study was to compare the recovery response of one resistance training session (1TRS) vs. two resistance training sessions (2TRS) performed in 1 day, on upper body performance, muscle morphology and muscle soreness in trained men. Methods: Twenty-four resistance trained men were randomly assigned into a 1TRS group (N = 12; age = 25.0 ± 2.4 years; body mass = 87.6 ± 14.0 kg; height = 177.1 ± 4.9 cm) or into a 2TRS group (N = 10; age = 24.4 ± 1.6 years; body mass = 81.1 ± 5.6 kg; height = 176.6 ± 6.7 cm). 1TRS performed one training session involving eight sets of 10 reps at 70% of 1RM at the bench press, while 2TRS group divided the same training volume in two workouts, with a recovery time of 4 hr. Performance [bench press throw power (BTP) and isometric bench press (IBP)] and muscle thickness of pectoralis major (PECMT) were assessed at baseline (BL), 15-min, 24-hr and 48-hr post-exercise. Results: Training intensity was significantly higher in 2TRS compared to 1TRS (p <.001). Faster recovery rates were detected for BTP (p =.039) and PECMT (p =.05) in 2TRS compared to 1TRS. Both BTP and PECMT were significantly more affected (p <.05) in 1TRS than in 2TRS at 24 h. Conclusions: Results indicate that the recovery process may be accelerated by splitting a high resistance training volume into two different training sessions performed in 1 day. [ABSTRACT FROM AUTHOR]

This study aimed to compare the physiological responses to a running test often used to assess lactate thresholds in soccer players when performed with an identical protocol on treadmill (Tr), natural grass (Nat), and synthetic turf (Synt). Eighteen young soccer players (mean [+ or -] SD: age, 17.4 [+ or -] 0.8 years; body mass, 66.2 [+ or -] 6.7 kg; height, 175.8 [+ or -] 5.7 cm) performed on each surface a multistage running test, including 4-minutes stages separated by a 1-minute rest, with initial speed set at 8 km x [h.sup.-1] and increased of 2 km x [h.sup.-1] after each stage. Blood lactate concentration (La) and heart rate (HR) were assessed. The test ended when La exceeded 4 mmol x [L.sup.-1]. At each of the stages completed in the three conditions by all the subjects (8, 10, 12, and 14 km x [h.sup.-1]), La was higher in Synt vs. both Nat and Tr with differences of at least 0.6 mmol x [L.sup.-1] (p < 0.05), whereas HR was higher (p < 0.05) in Synt vs. Nat with differences from 4.3 b x [min.sup.-1] (at 10 km x [h.sup.-1]) to 6.4 b x [min.sup.-1] (at 8 km x [h.sup.-1]). Running speed at the 4 mmol x [L.sup.-1] La threshold was lower (p < 0.05) in Synt (13.1 [+ or -] 1.1 km x [h.sup.-1]) than in Nat (13.9 [+ or -] 1.2 km x [h.sup.-1]) and Tr (14.4 + 1.3 km x [h.sup.-1]). The La/HR curve obtained in Synt was shifted upward compared with the Nat and Tr curves, indicating higher La values at given HRs. These results could be mostly explained by adaptations of running mechanical patterns to surface properties that affect the energy requirements of running. This study emphasized the importance of testing soccer players on the specific surface used for training activities when assessing lactate threshold indices to prescribe and monitor field training. KEY WORDS Football, field testing, heart rate, lactate threshold, training intensity

The daily distribution of macronutrient intake can modulate aspects of training adaptations, performance and recovery. We therefore assessed the daily distribution of macronutrient intake (as assessed using food diaries supported by the remote food photographic method and 24-hr recalls) of professional soccer players (n = 6) of the English Premier League during a 7-day period consisting of two match days and five training days. On match days, average carbohydrate (CHO) content of the pre match (<1.5 g⋅kg-1 body mass) and post match (1 g⋅kg-1 body mass) meals (in recovery from an evening kick-off) were similar (p > .05) though such intakes were lower than contemporary guidelines considered optimal for pre match CHO intake and post match recovery. On training days, we observed a skewed and hierarchical approach (p < .05 for all comparisons) to protein feeding such that dinner (0.8 g⋅kg-1)>lunch (0.6 g⋅kg-1)>breakfast (0.3 g⋅kg-1)>evening snacks (0.1 g⋅kg-1). We conclude players may benefit from consuming greater amounts of CHO in both the pre match and post match meals so as to increase CHO availability and maximize rates of muscle glycogen resynthesis, respectively. Furthermore, attention should also be given to ensuring even daily distribution of protein intake so as to potentially promote components of training adaptation. [ABSTRACT FROM AUTHOR]

In an attempt to better identify and inform the energy requirements of elite soccer players, we quantified the energy expenditure (EE) of players from the English Premier League (n = 6) via the doubly labeled water method (DlW) over a 7-day in-season period. Energy intake (EI) was also assessed using food diaries, supported by the remote food photographic method and 24 hr recalls. The 7-day period consisted of 5 training days (TD) and 2 match days (MD). Although mean daily EI (3186 ± 367 kcals) was not different from (p > .05) daily EE (3566 ± 585 kcals), EI was greater (p < .05) on MD (3789 ± 532 kcal; 61.1 ± 11.4 kcal.kg-1 LBM) compared with TD (2956 ± 374 kcal; 45.2 ± 9.3 kcal.kg-1 LBM, respectively). Differences in EI were reflective of greater (p < .05) daily CHO intake on MD (6.4 ± 2.2 g.kg-1) compared with TD (4.2 ± 1.4 g.kg-1). Exogenous CHO intake was also different (p < .01) during training sessions (3.1 ± 4.4 g.h-1) versus matches (32.3 ± 21.9 g.h-1). In contrast, daily protein (205 ± 30 g.kg-1, p = .29) and fat intake (101 ± 20 g, p = .16) did not display any evidence of daily periodization as opposed to g.kg-1, Although players readily achieve current guidelines for daily protein and fat intake, data suggest that CHO intake on the day before and in recovery from match play was not in accordance with guidelines to promote muscle glycogen storage. [ABSTRACT FROM AUTHOR]

Purpose: To quantify the accumulative training and match load during an annual season in English Premier League soccer players classified as starters (n = 8, started ≥60% of games), fringe players (n = 7, started 30-60% of games) and nonstarters (n = 4, started <30% of games). Methods: Players were monitored during all training sessions and games completed in the 2013-14 season with load quantified using global positioning system and Prozone technology, respectively. Results: When including both training and matches, total duration of activity (10,678 ± 916, 9955 ± 947, 10,136 ± 847 min; P = .50) and distance covered (816.2 ± 92.5, 733.8 ± 99.4, 691.2 ± 71.5 km; P = .16) were not different between starters, fringe players, and nonstarters, respectively. However, starters completed more (all P < .01) distance running at 14.4-19.8 km/h (91.8 ± 16.3 vs 58.0 ± 3.9 km; effect size [ES] = 2.5), high-speed running at 19.9-25.1 km/h (35.0 ± 8.2 vs 18.6 ± 4.3 km; ES = 2.3), and sprinting at >25.2 km/h (11.2 ± 4.2 vs 2.9 ± 1.2 km; ES = 2.3) than nonstarters. In addition, starters also completed more sprinting (P < .01, ES = 2.0) than fringe players, who accumulated 4.5 ± 1.8 km. Such differences in total high-intensity physical work done were reflective of differences in actual game time between playing groups as opposed to differences in high-intensity loading patterns during training sessions. Conclusions: Unlike total seasonal volume of training (ie, total distance and duration), seasonal high-intensity loading patterns are dependent on players' match starting status, thereby having potential implications for training program design. [ABSTRACT FROM AUTHOR]

Purpose: Competitive match play is a dominant component of the physical load completed by soccer players in a training microcycle. Characterizing the temporal disruption in homeostasis that follows exercise may provide some insight on the potential for match play to elicit an adaptive response. Methods: Countermovement-jump (CMJ) performance was characterized 3 d postmatch for 15 outfield players from an English Premier League soccer team (age 25.8 ± 4.1 y, stature 1.78 ± 0.08 m, body mass: 71.7 ± 9.1 kg) across a season. These players were classified as either starters (n = 9) or nonstarters (n = 6), according to their average individual playing time (more or less than 60 min/match). Linear mixed models were used to investigate the influence of indicators of match activity (total distance covered [TD] and high-intensity running distance [HI]) on CMJ height and peak power (PP). Results: Starting players covered much greater TD (ES = 1.5) and HI (ES = 1.4) than nonstarters. Furthermore, there was a possible positive effect of HI on CMJ height and PP. This relationship suggests that an additional 0.6 km of HI would increase CMJ height and PP by slightly more than the smallest-worthwhile-change values of 0.6 cm and 1.0 W/kg, respectively. This small yet practically relevant increase in performance may suggest that match play, more specifically the intense activities that are associated with thematch, provides a physiological stimulus for neuromuscular adaptation. Conclusions: These data may have implications for the preparation of soccer squads, especially the training requirements of starting and nonstarting players. [ABSTRACT FROM AUTHOR]

Purpose: To quantify the seasonal training load completed by professional soccer players of the English Premier League. Methods: Thirty players were sampled (using GPS, heart rate, and rating of perceived exertion [RPE]) during the daily training sessions of the 2011-12 preseason and in-season period. Preseason data were analyzed across 6 x 1-wk microcycles. In-season data were analyzed across 6 x 6-wk mesocycle blocks and 3 x 1-wk microcycles at start, midpoint, and end-time points. Data were also analyzed with respect to number of days before a match. Results: Typical daily training load (ie, total distance, high-speed distance, percent maximal heart rate [%HR max], RPE load) did not differ during each week of the preseason phase. However, daily total distance covered was 1304 (95% CI 434-2174) m greater in the 1st mesocycle than in the 6th. %HRmax values were also greater (3.3%, 1.3-5.4%) in the 3rd mesocycle than in the first. Furthermore, training load was lower on the day before match (MD-1) than 2 (MD-2) to 5 (MD-5) d before a match, although no difference was apparent between these latter time points. Conclusions: The authors provide the 1st report of seasonal training load in elite soccer players and observed that periodization of training load was typically confined to MD-1 (regardless of mesocycle), whereas no differences were apparent during MD-2 to MD-5. Future studies should evaluate whether this loading and periodization are facilitative of optimal training adaptations and match-day performance. [ABSTRACT FROM AUTHOR]

The purpose of the present investigation was to compare the effects of total body (TB) versus split routine (SR) resistance training workouts on maximal strength and muscle hypertrophy in trained men. Twenty-one resistance-trained men were randomly assigned to either a TB (TB: age = 24.1 ± 4.4 years; body mass = 78.7 ± 11.3 kg; body height = 177.0 ± 3.9 cm) or the SR group (SR: age = 24.9 ± 4.2 years; body mass = 79.2 ± 9.5 kg; body height = 175.2 ± 6.0 cm). Both groups performed a 10-week resistance training program. Isokinetic bench press at 75 and 25 cm·s-1 (ISOK75 and ISOK25, respectively), isometric bench press (ISOBP), isometric squat (ISOSQ), and one repetition maximum BP and SQ assessments were performed before and after training. Muscle thickness of the pectoralis major (PECMT), superior part of trapezius (TRAPMT), and vastus lateralis (VLMT) muscles was also evaluated at the same timepoints using ultrasonography. Improvements were observed in both groups for all strength assessments and muscle thicknesses. Only changes in ISOK25 were significantly (p = 0.015) greater in TB than in SR, while significantly greater (p = 0.037) changes in VLMT were detected in SR compared with TB. Results indicated that a TB training paradigm may be more appropriate for maximal strength improvement, while an SR training protocol may be more optimal in stimulating muscle growth in experienced, resistance-trained men. [ABSTRACT FROM AUTHOR]