Match Acceleration and Deceleration Patterns in Female Collegiate Soccer Players

2021 ◽  
Vol 29 (2) ◽  
pp. 139-145
Author(s):  
Jessica L. Trapp ◽  
Alicja B. Stannard ◽  
Julie K. Nolan ◽  
Matthew F. Moran

The purpose of the current investigation was to report acceleration and deceleration match data in female collegiate soccer players and compare between positions and game halves. A total of 24 players (11 defenders, five midfielders, and eight forwards) (age: M = 19.1, SD = 1.2 years; height: M = 1.64, SD = 0.05 m; and mass: M = 62.2, SD = 5.8 kg) underwent global positioning system monitoring and performance testing. Forwards covered significantly more distance per minute during high-intensity running (effect size [d]: 0.49) and sprinting (d = 0.64) when compared to midfielders across 16 matches for players logging  22.5 min per half. Significant and meaningful positional differences were determined with forwards covering the greatest average distance per acceleration efforts (d = 0.55) and initiating acceleration and deceleration efforts from a greater initial speed (ds = 0.57 and 0.69). When analyzing across all matches for players logging ≥ 40 min per half, second half decreases occurred in the number of accelerations (p < .001; d = 1.98) and decelerations (p < .001; d = 1.92), average distance of accelerations (p < .001; d = 0.83) and decelerations (p = .03; d = 1.30), and starting speed of accelerations (p = .01; d = 0.92) and decelerations (p = .04; d = 1.28). These results provide useful context when interpreting global positioning system–derived player-tracking metrics and can improve positional-specific training programs.

2019 ◽  
Vol 40 (05) ◽  
pp. 331-335
Author(s):  
Timothy Newans ◽  
Phillip Bellinger ◽  
Karl Dodd ◽  
Clare Minahan

AbstractThe ability to change velocity rapidly is a key element of field-based sports. This study quantified the acceleration and deceleration profiles of soccer players during match play. Global positioning system measures were collected from 20 male soccer players competing in the Australian Hyundai A-League during 58 matches. Match data were organized into ten 9 min periods (i. e., P1: 0–9 min) and the time spent at moderate (1–2 m·s−2) and high (>2 m·s−2) acceleration and deceleration thresholds were quantified. Additionally, a novel deceleration: acceleration ratio was quantified to identify the transient nature of deceleration activity. Linear mixed models were used to model the acceleration and deceleration profiles. All acceleration and deceleration metrics displayed negative logarithmic curves within each half. There was no change in the ratio of high deceleration: acceleration; however, a significant increase in the ratio of moderate deceleration:acceleration was evident. Using negative logarithmic curves to illustrate the acceleration and deceleration decay provides a novel methodological approach to quantify the high-intensity actions during match play. A decrease in the time spent decelerating throughout a match may be attributed to a lack of opportunity. Practitioners can use the coefficients, intercepts, and deceleration: acceleration ratios to monitor a player’s deceleration profile in match play.


2021 ◽  
Vol 11 (15) ◽  
pp. 6747
Author(s):  
Hadi Nobari ◽  
Rafael Oliveira ◽  
Marefat Siahkouhian ◽  
Jorge Pérez-Gómez ◽  
Florin Cazan ◽  
...  

The aims of this study were to analyze the within-group weekly metabolic power average (wMPA), weekly acceleration zones (wAcZ), and weekly deceleration zones (wDcZ), in starter and non-starter professional soccer players, based on different periods of the full season (pre-, early-, mid-, and end-season). Twenty-one professional soccer players (age, 28.3 ± 3.8 years; height, 181.2 ± 7.1 cm; body mass, 74.5 ± 7.7 kg; BMI, 22.6 ± 1.0 kg·m2) were monitored during the full season in the highest level of the Iranian Premier League. WMPA, wAcZ, and wDcZ at three different zones (wAcZ1, wAcZ2, wAcZ3, wDcZ1, wDcZ2, wDcZ3) were collected using Global Positioning System. ANOVA was applied to analyze within-group changes across the different periods of the full season. In general, starters presented higher values in the beginning of the season (pre- and early-season) and lower values at mid- and end-season. Specifically, starters showed significant differences in early- vs. mid-season for wMPA, wAcZ1, and wDcZ1 (p < 0.05), plus early- vs. end-season for wMPA and wAcZ1 (p < 0.01). In addition, non-starters showed higher values in the pre-season that decreased until the end-season for wMPA, wAcZ1, and wDcZ1. Regarding wAcZ2, wDcZ2, wAcZ3, and wDcZ3, non-starters presented higher values in early-season that decreased until the end-season. Specifically, non-starters showed significant differences in pre- vs. mid-season for wMPA, wAcZ1, and wDcZ1; pre- vs. end-season for wMPA, wDcZ1, wDccZ2, and wDcZ3; early- vs. mid-season for wMPA, wAcZ1, wDcZ1, wAcZ2, and wDccZ2; early- vs. end-season for wMPA, wAcZ1, wDcZ1, wAcZ2 wDccZ2, wAcZ3, and wDcZ3; and mid- vs. end-season for wMPA, wAcZ1, and wAcZ3 (p < 0.05). In conclusion, starters were revealed to have higher values in pre- and early-season, and lower values in mid- to end-season, while non-starters were revealed to have lower load values in pre- and end-season and higher load values in early- and mid-season. This study provides extra insights over the season for starters and non-starters, respectively. Data can be used by coaches to better training periodization across soccer season.


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.


2016 ◽  
Vol 11 (7) ◽  
pp. 953-958 ◽  
Author(s):  
Jocelyn K. Mara ◽  
Kevin G. Thompson ◽  
Kate L. Pumpa

Purpose:To investigate the physical and physiological response to different formats of various-sided games.Methods:Eighteen elite women’s soccer players wore 15-Hz global positioning system devices and heart-rate (HR) monitors during various-sided games (small, 4 vs 4 and 5 vs 5; medium, 6 vs 6 and 7 vs 7; large, 8 vs 8 and 9 vs 9).Results:Players covered more relative sprinting distance during large-sided games than in small-sided (P < .001, d = 0.69) and medium-sided (P < .001, d = 0.54) games. In addition, a greater proportion of total acceleration efforts that had a commencement velocity <1 m/s were observed in small-sided games (44.7% ± 5.5%) than in large-sided games (36.7% ± 10.6%) (P = .018, d = 0.94). This was accompanied by a greater proportion of acceleration efforts with a final velocity equivalent to the sprint threshold in large-sided games (15.4% ± 7.7%) than in small-sided games (5.2% ± 2.5%) (P < .001, d = 1.78). The proportion of time spent in HR zone 4 (>85% maximum HR) was greater during small-sided games (69.8% ± 2.5%) than in medium- (62.1% ± 2.8%, d = 2.90) and large-sided games (54.9% ± 3.1%) (P < .001, d = 5.29).Conclusions:The results from this study demonstrate that coaches can use small-sided games as an aerobic conditioning stimulus and to develop players’ explosiveness and repeat-sprint ability over short durations. Large-sided games can be used to maintain aerobic capacity and develop maximum speed over longer distances.


Author(s):  
Andrew Guard ◽  
Kenneth McMillan ◽  
Niall MacFarlane

The aim of the study was to compare internal and external load responses of different small-sided games, using balanced (5v5 Possession and small-sided games formats) and unbalanced (6v4) teams. Ten elite youth male soccer players were monitored at the start of the in-season period using global positioning system, heart rate and subjective ratings of intensity. Results showed higher physiological stress (>90% HRmax) in Possession and small-sided games formats when compared to the unbalanced teams (ES = 1.3–2.3). Total and high-intensity distance in small-sided games (28 ± 25 m) and Possession (67 ± 35 m) were greater compared to teams of 6 and 4 in the unbalanced scenario. Small-sided games format and team with six players had higher proportion of distance running at sub-maximal velocities (0–5.8 m/s2). Small-sided games format and team with four players saw greater mean acceleration effort (mean acceleration intensity in small-sided games 1.91 ± 0.27 vs. Possession 1.80 ± 0.20 m/s2, ES = 0.4 and Team 4 1.56 ± 0.24 vs. Team 6 1.44 ± .0.19 m/s2, ES = 1.3). Small-sided games format and team with 6 players had lower starting velocities prior to acceleration efforts (small-sided games 0.90 ± 0.08 and Team 6 1.11 ± 0.11 m/s2, ES = 1.5 and ES = 1.8), while velocity at the end of each acceleration effort was greater in the Possession format and Team 4 compared to small-sided games and Team 6 (Possession 3.54 ± 0.23 m/s2 and Team 4 3.13 ± 0.22 m/s2) compared to the small-sided games format (ES = 0.1) and the team with six players (ES = 2.3). These data demonstrate that using unbalanced teams can provide an additional form of training prescription to facilitate player specific training within a squad environment by providing different internal and external training responses within a combined drill.


Sports ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 139
Author(s):  
Toni Modric ◽  
Mario Jelicic ◽  
Damir Sekulic

Previous studies examined training/match ratios (TMr) to determine the training load relative to the match load, but the influence of the relative training load (RTL) on success in soccer is still unknown. Therefore, this study aimed to investigate the possible influence of RTL on final match outcome in soccer (win, draw, and loss). Running performances (RP) of soccer players (n = 21) in the Croatian highest national soccer competition were analyzed during the season 2020–2021. Data were measured by the global positioning system in 14 official matches and 67 training sessions. RTL was assessed by TMr, which were calculated as the ratio of RP during training and match in the same week, evaluating the following measures: TDr (total distance ratio), LIDr (low-intensity distance ratio), RDr (running distance ratio), HIDr (high-intensity distance ratio), ACCr (total accelerations ratio), DECr (total decelerations ratio), HI-ACCr (high-intensity accelerations ratio), HI-DECr (high-intensity decelerations ratio). All TMr were examined separately for each training session within in-season microcycles (categorized as days before the match day, i.e., MD minus). Spearman correlations were used to identify association between match outcome and TMr. The results indicated negative associations between match outcome and TDr, LIDr, ACCr and DECr on MD-1 and MD-2). In contrast, positive associations were evidenced between match outcome, and HIDr on MD-3 and TDr, LIDr, ACCr and DECr on MD-5 (p < 0.05; all moderate correlations). These findings demonstrate that final match outcome in soccer was associated with greater RTL of (i) high-intensity running three days before the match, (ii) total and low-intensity running, accelerations and decelerations five days before the match, and (iii) lower RTL of total and low-intensity running, accelerations and decelerations one and two days before the match.


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