A Comparison of Methods to Quantify the In-Season Training Load of Professional Soccer Players

Scott, Brendan R.; Lockie, Robert G.; Knight, Timothy J.; Clark, Andrew C.; Jonge, X. Janse de

doi:10.1123/ijspp.8.2.195

Cited by 234 publications

(262 citation statements)

References 23 publications

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“…In sports games, we still consider the determination of the load by measuring the heart rate a relatively accurate method that provides us with the relevant information required. Scott et al (2013), who found a correlation (p < 0.01) with multiple indicators of the external load (along with the distance covered), confirmed this in the study.…”

Section: Introductionsupporting

confidence: 77%

Match Load of Soccer Players in Defensive Formation and Its Impact on the Level of Speed Abilities

Holienka

Horný

2017

Acta Facultatis Educationis Physicae Universitatis Comenianae

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Abstract:The aim of this study was to investigate the impact of the match load in soccer on the level of the selected speed abilities in the playing positions of the outside defender and central defender. Speed abilities in all their demonstrations are one of the most important fitness skills in today's soccer. In our research, we assumed that the higher the match load players achieve, the greater the impact of this load on the level of the selected speed abilities would be. We carried out a cross-sectional ex post facto research. The monitored group consisted of the players of the team playing in the first league (Fortuna League). Their average age was 22.9 ± 4.5 years.We conducted the measurements in the preparation periods during pre-season matches. We carried out a total of 63 individual measurements. We measured the level of the match load and the performance in 10, 20 and 30 meter runs from a standing start before the match and after the match. Except of outside defenders in 30-meter run (W = 12; p = 0.02) we did not confirm a significant impact of the match load on the level of the selected speed (acceleration) abilities. Its effect size reached from d = 0.1 to d = 0.6. In addition, the correlations between match load and performance changes in all three tests were nonsignificant (p ≥ 0.5). Only 0.2 to 8.5 % of the variability in speed tests was shared with the level of match load.

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Section: Introductionsupporting

confidence: 77%

Match Load of Soccer Players in Defensive Formation and Its Impact on the Level of Speed Abilities

Holienka

Horný

2017

Acta Facultatis Educationis Physicae Universitatis Comenianae

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“…Average training duration (77 min), total distance (5614 m), running (591 m) and high-speed running (203 m) were high in the range of, or even somewhat higher than, what other teams demonstrated (65-76 min, 3898-5667 m, 220-412 m and 41-205 m, respectively) (Akenhead et al, 2016;Scott et al 2013;Malone et al 2015;Anderson et al 2016). To date, as far as we are aware, no other studies have reported the number of accelerations or A typical week with 1 match (A) was considered to be a week starting with a recovery training for the starters (not recorded) and a nonstarters training session for the nonstarters (MD+1), followed by a day off, 4 subsequent training sessions (MD-4, MD-3, MD-2 and MD-1) and a match (only for starters).…”

Section: Discussionmentioning

confidence: 99%

“…To fairly compare our data with other studies that assessed the in-season training load of full sessions in top-level leagues of professional football (Akenhead et al, 2016;Scott et al 2013;Malone et al 2015;Anderson et al 2016), we used the averages of the 4 training days in our study. Average training duration (77 min), total distance (5614 m), running (591 m) and high-speed running (203 m) were high in the range of, or even somewhat higher than, what other teams demonstrated (65-76 min, 3898-5667 m, 220-412 m and 41-205 m, respectively) (Akenhead et al, 2016;Scott et al 2013;Malone et al 2015;Anderson et al 2016).…”

Section: Discussionmentioning

confidence: 99%

Quantification of in-season training load relative to match load in professional Dutch Eredivisie football players

Stevens¹,

Ruiter²,

Twisk

et al. 2017

Science and Medicine in Football

163

222

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Objectives: The aims of this study were (1) to quantify and compare the load of a professional football team's training days and matches and (2) to compare training of nonstarters the day after the match with regular training of starters and nonstarters. Methods: On-field training load during in-season training days (categorized as days before match day, i.e., MD minus) and 3 friendly matches were recorded using alocal positioning measurement system. Results: Mixed linear models showed lower load when training approached match day. Relative to match values (100%), training values for running (52 -20%; MD-4 -MD-1) and high-speed running (38 -15%) were lower than for total distance (67 -35%), and all considerably lower than match values. On average, medium and high accelerations and decelerations during training were more similar to match values (90 -39%). Load during nonstarters training was lower than during regular training for almost all variables on MD-4 and several high-intensity variables on MD-3 and MD-2. Conclusions: The results highlight that acceleration and deceleration measures complement more commonly used external load variables based on distance and speed. Furthermore, nonstarters are potentially under-loaded compared to starters, especially in terms of (high-speed) running.

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“…However, few studies have observed the relationship between session RPE and external loads measured using GPS technology. 3,8 These studies have reported significant correlations between session RPE and both GPS and accelerometer derived variables (r = 0.71-0.84; P < 0.01).…”

Section: Introductionmentioning

confidence: 99%

“…Thus, additional methods may be required to assess session RPE as a global estimate of training load during soccer training. 4,5,8 A Global Positioning System (GPS) is a space-based navigation system that provides location and time information 9 . GPS technology has improved over the last several years 9 and evidence indicates that GPS data can provide a viable estimate of external training loads imposed on athletes in team sports.…”

Section: Introductionmentioning

confidence: 99%

Establishing a duration standard for the calculation of session rating of perceived exertion in NCAA division I men’s soccer

Pustina¹,

Sato²,

Liu³

et al. 2017

Journal of Trainology

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Objectives:The purpose of this study was to determine the best predictor of training and/or match load using session RPE. Design and Methods: 20 NCAA DI male soccer players participated in the study during the 2014 and 2015 competitive seasons.Players completed 15.20 ± 1.05 matches for a total of 304 individual data points and 29.90 ± 1.89. training sessions for a total of 598 individual data points. GPS variables (total distance, High-intensity running distance, and Player load) were analyzed with session RPE using Pearson product-moment correlations. To evaluate various methods of session RPE, "match duration" was recorded using eight different definitions: total match duration including warm-up and half-time, total match duration and warm-up, total match duration and half-time, total match duration only, minutes played including warm-up and half-time, minutes played and warm-up, minutes played and half-time, and minutes played only. A one-way ANOVA with repeated measures was used to determine if differences existed between the eight session RPE calculations. Results:Results from the ANOVA showed that all session RPE measures were significantly different from one another (P < 0.05).Very large correlations were reported between session RPE calculated using minutes played and total distance (0.81), while session RPE calculated using match duration showed less magnitude (0.57). Conclusions:Minutes played should be used to calculate session RPE as it was found to most closely reflect the actual workloads incurred during competitive matches.(Journal of Trainology 2017;6:26-30)

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A Comparison of Methods to Quantify the In-Season Training Load of Professional Soccer Players

Cited by 234 publications

References 23 publications

Match Load of Soccer Players in Defensive Formation and Its Impact on the Level of Speed Abilities

Match Load of Soccer Players in Defensive Formation and Its Impact on the Level of Speed Abilities

Quantification of in-season training load relative to match load in professional Dutch Eredivisie football players

Establishing a duration standard for the calculation of session rating of perceived exertion in NCAA division I men’s soccer

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