scholarly journals Activity Profiles by Position in Youth Elite Soccer Players in Official Matches

2019 ◽  
Vol 03 (01) ◽  
pp. E19-E24 ◽  
Author(s):  
Svein Arne Pettersen ◽  
Tormod Brenn

AbstractIn order to investigate activity profiles and external load patterns in elite youth soccer players, we studied high-intensity activity patterns, maximum running speed, and temporary and end-of-match decline in external load in 54 U17 players (96 match observations) over a full season of official match play.Wide midfielders covered most high-intensity running (HIR) distance (1044.2 m), most sprinting distance (224.4 m), and the highest number of accelerations (185.2); center defenders had the lowest values for these activities (508.3 m, 85.1 m, and 119.0), respectively. Wide midfielders had the highest and center defenders had the lowest maximum speed (30.3 km · h − 1 and 28.6 km · h − 1), respectively. During the matches, players in all playing positions displayed a significant drop in HIR distance, sprinting distance, and number of accelerations. This was especially pronounced in the 5 min following the 5-min peak period and in the last 5-min period for sprinting distance.There are substantial differences in activity profiles by positions, but all players show temporary and end-of-match drop in external load. The variation in activity profiles by playing position in this study may aid in the design of training programs. The considerable end-of-match drop in external load observed raises the question of the favorability of 90 min match times for U17 players.

2021 ◽  
Vol 12 ◽  
Author(s):  
Marco Pernigoni ◽  
Davide Ferioli ◽  
Ramūnas Butautas ◽  
Antonio La Torre ◽  
Daniele Conte

Load monitoring in basketball is fundamental to develop training programs, maximizing performance while reducing injury risk. However, information regarding the load associated with specific activity patterns during competition is limited. This study aimed at assessing the external load associated with high-intensity activities recorded during official basketball games, with respect to different (1) activity patterns, (2) playing positions, and (3) activities performed with or without ball. Eleven male basketball players (six backcourt, five frontcourt, age: 20.5 ± 1.1 years, stature: 191.5 ± 8.7 cm, body mass: 86.5 ± 11.3 kg; experience: 8.5 ± 2.4 years) competing in the Lithuanian third division were recruited for this study. Three in-season games were assessed via time-motion analysis and microsensors. Specifically, the high-intensity activities including sprints, high-intensity specific movements (HSM) and jumps were identified and subsequently the external load [PlayerLoad™ (PL) and PlayerLoad™/min (PL/min)] of each activity was determined. Linear mixed models were used to examine differences in PL, PL/min and mean duration between activity pattern, playing positions and activities performed with or without ball. Results revealed PL was lower in jumps compared to sprints [p < 0.001, effect size (ES) = 0.68] and HSMs (p < 0.001, ES = 0.58), while PL/min was greater in sprints compared to jumps (p = 0.023, ES = 0.22). Jumps displayed shorter duration compared to sprints (p < 0.001, ES = 1.10) and HSMs (p < 0.001, ES = 0.81), with HSMs lasting longer than sprints (p = 0.002, ES = 0.17). Jumps duration was longer in backcourt than frontcourt players (p < 0.001, ES = 0.33). When considering activity patterns combined, PL (p < 0.001, ES = 0.28) and duration (p < 0.001, ES = 0.43) were greater without ball. Regarding HSMs, PL/min was higher with ball (p = 0.036, ES = 0.14), while duration was longer without ball (p < 0.001, ES = 0.34). The current findings suggest that external load differences in high-intensity activities exist among activity patterns and between activities performed with and without ball, while no differences were found between playing positions. Practitioners should consider these differences when designing training sessions.


2015 ◽  
Vol 10 (2) ◽  
pp. 248-252 ◽  
Author(s):  
Ademir F.S. Arruda ◽  
Christopher Carling ◽  
Vinicius Zanetti ◽  
Marcelo S. Aoki ◽  
Aaron J. Coutts ◽  
...  

Purpose:To analyze the effects of a very congested match schedule on the total distance (TD) covered, high-intensity-running (HIR) distance, and frequency of accelerations and body-load impacts (BLIs) performed in a team of under-15 soccer players (N = 10; 15.1 ± 0.2 y, 171.8 ± 4.7 cm, 61 ± 6.0 kg) during an international youth competition.Methods:Using global positioning systems, player performances were repeatedly monitored in 5 matches performed over 3 successive days.Results:Significant differences were observed between matches (P < .05) for the frequency of accelerations per minute, BLIs, and BLIs per minute. No differences were observed for the TD covered, TD run per minute, number of high-intensity runs, distance covered in HIR, per-minute peak running speed attained, or frequency of accelerations. The frequency of accelerations per minute decreased across the competition while BLIs were higher during the final than in all other matches.Conclusions:These results suggest that BLIs and acceleration might be used as an alternative means to represent the external load during congested match schedules rather than measures related to running speed or distance covered.


2019 ◽  
Vol 31 (1) ◽  
pp. 85-90
Author(s):  
Heita Goto ◽  
James A. King

Purpose: The purposes of the present study were to examine high-intensity running distance during 6-a-side small-sided games (SSGs) and 11-a-side matches (11M) in youth soccer players using speed and metabolic power approaches and the magnitude of difference between the high-intensity running distance calculated with the 2 approaches. Method: A total of 11 outfield players (age = 16.3 [0.6] y) performed SSGs with 3 pitch sizes (small SSG [SSGS], medium SSG, and large SSG [SSGL]) and 11M. A Global Positioning System (15 Hz) was employed to calculate total distance covered, distance covered at a speed ≥4.3 m·s−1 (TS), and metabolic power of ≥20 W·kg−1 (TP). Results: The total distance covered increased from SSGS through to SSGL (P < .001) and was greater during 11M and SSGL compared with other SSGs (P < .01). TS and TP increased from SSGS (TS vs TP = 98 [55] vs 547 [181] m) through to SSGL (538 [167] vs 1050 [234] m; P < .001). TS and TP during 11M (370 [122] vs 869 [233] m) was greater than SSGS (P < .001 for both) and less than SSGL (P < .05 for both). The magnitude of difference between TS and TP (as a percentage) was lower with an increase in pitch size during SSGs and was greater in SSGS (615% [404%]; P < .001), medium SSG (195% [76%]; P < .05), and smaller in SSGL (102% [33%]; P < .01) compared with 11M (145% [53%]). Conclusion: SSGs can replicate the high-intensity demands of 11M and the speed approach underestimates the high-intensity demands of SSGs and 11M compared with the metabolic power approach.


2019 ◽  
Vol 28 (2) ◽  
pp. 194-205 ◽  
Author(s):  
Daniel Castillo ◽  
Javier Raya-González ◽  
Filipe Manuel Clemente ◽  
Javier Yanci

2018 ◽  
Vol 13 (5) ◽  
pp. 674-678 ◽  
Author(s):  
Thomas E Brownlee ◽  
Andy O’Boyle ◽  
Ryland Morgans ◽  
James P Morton ◽  
Robert M Erskine ◽  
...  

Purpose To determine whether training duration is a predisposing factor in potential maladaptations in talent development programmes that promote early specialisation in elite youth soccer. Methods Training times and type of 184 elite soccer players, from the under-9 to under-21 age groups (age 9.4 to 18.4 yrs; stature 1.38 to 1.82 m; body mass 32.2 to 76.2 kg) were recorded. Results Total training time progressively increased between the under-9 (268 ± 25 min/week) and under-14 (477 ± 19 min/week) groups with the majority of training time (96.5 ± 3.9%) consisting of soccer training and matches. Total training time then subsequently reduced from under-14 to under-15 (266 ± 77 min/week) groups, with no differences in training time between under-15 and under-21. Only under-15 to under-21 players completed resistance training; this inclusion coincided with a reduction in soccer training and match play when compared to time spent in these activities for younger groups (73.8 ± 3.2% of total training). Conclusion Data suggest that although the majority of training is focused on technical development, the training duration as a whole is unlikely to contribute to potential maladaptations in talent development programmes in elite youth soccer.


2013 ◽  
Vol 25 (3) ◽  
pp. 423-434 ◽  
Author(s):  
Mark Waldron ◽  
Aron Murphy

This study aimed to identify characteristics of match performance and physical ability that discriminate between elite and subelite under-14 soccer players. Players were assessed for closed performance and movement, physiological responses, and technical actions during matches. Elite players covered more total m·min−1 (115.7 ± 6.6 cf. 105.4 ± 7.7 m·min−1) and high-intensity m·min−1 (elite = 14.5 ± 2.3 cf. 11.5 ± 3.7 m·min−1) compared with subelite players. Elite players also attempted more successful (0.41 ± 0.11 cf. 0.18 ± 0.02) and unsuccessful ball retentions·min−1 (0.14 ± 0.04 cf. 0.06 ± 0.02) compared with subelite players. Elite players were faster over 10 m (1.9 ± 0.1 cf. 2.3 ± 0.2 s) and faster dribblers (16.4 ± 1.4 cf. 18.2 ± 1.1 s) compared with subelite players. Speed (10 m) and successful ball retention·min−1 contributed to a predictive model, explaining 96.8% of the between-group variance. The analysis of match performance provides a more thorough understanding of the factors underlying talent among youth soccer players.


2020 ◽  
Author(s):  
Ádám Gusztafik ◽  
Miklós Koltai

The monitoring of young soccer players’ training load using up-to-date devices is essential from the point of view of continuous improvement at high-quality soccer academies. In the present study, we used tests that are accepted and valid in soccer, which were performed frequently to find out more about improvement. Data measured in the U15–U19 age groups at the Illés Academy in Szombathely were analyzed during the research (N = 70). These data comprised (a) body parameters and performance trials: Body Mass, Height, Yo-Yo intermittent recovery test–level 1 (YYIR1), 30 m running, Functional Movement Screening (FMS), and Standing Long Jump (SLJ). (b) Locomotor parameters using the 6-week averages of Catapult OptimEye S5 standardized weekly reports of locomotor performance data (weeks 42–47, 2019): Total Time, Total Distance (m), Velocity Bands 4–6 Average Effort counts and distances, and Maximum Velocity. (c) Mechanical performance parameters: Total Player Load (TPL), high-intensity acceleration, high-intensity deceleration, Change of Direction (CoD) Left, High, CoD Right, High, and Explosive Effort (EE). The Illés Academy players did well in the motoric tests: YYIR1 (M = 2155, SD = 311), 30 m (M = 4.34, SD = 0.26), and SLJ (M = 2.28, SD = 0.18), and the different age groups underwent dynamic improvement. The young soccer players ran 19,552 m on average in their weekly training sessions (SD = 4562): players ran 568, 298, and 97 m in the moderate-, high-, and sprint-intensity zones (Velocity Band 4–5–6 Average Distance) (SD = 287, 148, and 67). The number of moderate-, high-, and sprint-intensity actions (Velocity Band 4–5–6 Average Effort Counts) was M = 58.32, 24.24, and 6.20 (SD = 24.41, 11.30, and 3.74). The athletes’ maximum speed was M = 26.72 km/h (SD = 1.74). The differences between the age groups were justified statistically in each case. Moderate or more intensive correlations were not found between the different intensity of running and the body parameters. High-intensity correlations were found between the completed total distance and the number of moderate-intensity actions (r = 0.806, p &lt; .001), and high correlations were found between the moderate-intensity and high-intensity running (r = 0.933, p &lt; .001).


Author(s):  
Filipe Manuel Clemente ◽  
Alireza Rabbani ◽  
Mehdi Kargarfard ◽  
Pantelis Theodoros Nikolaidis ◽  
Thomas Rosemann ◽  
...  

The aim of this study was to analyze the variability of time-motion variables during five vs. five games when completed within the same session as, and between, two different sessions. Ten under-19 male soccer players (18.27 ± 0.47 years old) participated in this study. The five vs. five matches (3 × 5 min) were played twice with a 3-day interval of rest in the same week. Moderate between-session variations were observed for TD (total distance) (range coefficient of variation (CV), 6.9; 8.3%, confidence interval (CI), (5.0; 14.0), standardized typical error (STE), 0.68; 1.06, (0.64; 1.75)) and RD (running distance) (range CV, 53.3; 145.7%, (36.6; 338.9), STE, 0.83; 1.09, (0.60; 1.76)). PL (player load) showed small variations (range CV, 4.9; 6.0%, [3.6; 10.1], STE, 0.37; 0.43, (0.27; 0.71)). In within-session analyses for examining the differences between sets, a small decrease was observed in RD in set 3 versus set 2 (−14.8%, 90% CI (−32.1; 6.9%); standardized difference (ES): −0.39 (0.95; 0.16)). TD decreased with moderate (−3.5%, (−6.8; −0.1%); ES: −0.65(−1.30; −0.01)) and large (−8.2%, (−11.4; −4.9%); ES: −1.58(−2.24; −0.92)) effects in sets 2 and 3, respectively, versus set 1. Our results suggest that PL is the most stable performance variable. It was also verified that measures had a progressive decreasing tendency within a session.


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