scholarly journals Weekly Load Variations of Distance-Based Variables in Professional Soccer Players: A Full-Season Study

2020 ◽  
Vol 17 (9) ◽  
pp. 3300 ◽  
Author(s):  
Filipe Manuel Clemente ◽  
Rui Silva ◽  
Daniel Castillo ◽  
Asier Los Arcos ◽  
Bruno Mendes ◽  
...  
Keyword(s):  
Standard Deviation ◽  
High Speed ◽  
Training Load ◽  
Effect Sizes ◽  
Soccer Players ◽  
Load Variations ◽  
Total Distance ◽  
Professional Soccer ◽  
Moderate Effect ◽  
And Training

The aim of this study was two-fold: (1) to analyze the variations of acute load, training monotony, and training strain among early (pre-season), mid (first half of season), and end season (second half of season) periods; (2) to compare these training indicators for playing positions in different moments of the season. Nineteen professional players (age: 26.5 ± 4.3 years; experience as professional: 7.5 ± 4.3 years) from a European First League team participated in this study. The players were monitored daily over a 45-week period for the total distance (TD), distance covered (DC) at 14 km/h−1 or above (DC > 14 km/h), high-speed running above 19.8 km/h−1 (HSR) distance, and number of sprints above 25.2 km/h−1. The acute load (sum of load during a week), training monotony (mean of training load during the seven days of the week divided by the standard deviation of the training load of the seven days), and training strain (sum of the training load for all training sessions and matches during a week multiplied by training monotony) workload indices were calculated weekly for each measure and per player. Results revealed that training monotony and training strain for HSR were meaningfully greater in pre-season than in the first half of the in-season (p ≤ 0.001; d = 0.883 and p ≤ 0.001; d = 0.712, respectively) and greater than the second half of the in-season (p ≤ 0.001; d = 0.718 and p ≤ 0.001; d = 0.717). The training monotony for the sprints was meaningfully greater in pre-season than in the first half of in-season (p < 0.001; d = 0.953) and greater than the second half of in-season (p ≤ 0.001; d = 0.916). Comparisons between playing positions revealed that small-to-moderate effect sizes differences mainly for the number of sprints in acute load, training monotony, and training strain. In conclusion, the study revealed that greater acute load, training monotony, and training strain occurred in the pre-season and progressively decreased across the season. Moreover, external defenders and wingers were subjected to meaningfully greater acute load and training strain for HSR and number of sprints during the season compared to the remaining positions.

scholarly journals External Load Variations Between Medium- and Large-Sided Soccer Games: Ball Possession Games vs Regular Games with Small Goals

2019 ◽  
Vol 70 (1) ◽  
pp. 191-198 ◽  
Author(s):  
Filipe Manuel Clemente ◽  
Gibson Moreira Praça ◽  
Sarah da Glória Teles Bredt ◽  
Cornelis M. I. van der Linden ◽  
Jaime Serra-Olivares
Keyword(s):  
Effect Size ◽  
External Load ◽  
Training Load ◽  
Soccer Players ◽  
Accelerometer Data ◽  
Load Variations ◽  
Total Distance ◽  
Professional Soccer ◽  
Possession Condition

Abstract This study compared external load variations between 5 vs 5 and 10 vs 10 sided game formats played under two conditions: (i) a ball possession game with two floaters, and (ii) a regular game with goalkeepers and small goals. Twenty-two professional soccer players participated in this study: four central defenders, four wide defenders, nine central midfielders, three wide forwards, and three strikers. Total distance (TD), running distance (RD), sprinting distance (SD), number of sprints (NS), and player’s training load (PL) were recorded by GPS units. Within-format analyses revealed very likely large increases in TD (20.0%, [9.2; 31.9]; effect size (ES): 1.48, [0.71; 2.25]) and RD (130.9%, [20.2; 343.7]; ES: 1.32, [0.29; 2.35]) during the regular game when compared to the ball possession game in the 5 vs 5 format. In the 10 vs 10 format, large increases in TD (27.9%, [17.7; 39.1]; ES: 3.54, [2.34; 4.74]) and PL (27.4%, [12.6; 44.1]; ES: 2.46, [1.20; 3.72]) were observed in the regular condition when compared to the ball possession condition. Between-formats analyses revealed that, in the 10 vs 10 format, when compared to the 5 vs 5 format, RD was very likely larger (123.5%, [33.7; 273.7]), as was SD (195.8%, [20.5; 626.2]). However, very likely large decreases in PL were observed in the 10 vs 10 format (-19.6%; [-29.4; -8.3]) in the ball possession condition. Unclear differences were revealed based on variations in external load variables between formats in the regular condition. Smaller formats reduce the area available for running and sprinting and, thus, may be more adequate for increasing player’s training load (based on accelerometer data).

Acute, chronic and acute/chronic ratio between starters and non-starters professional soccer players across a competitive season

2021 ◽  
pp. 175433712110165
Author(s):  
Hadi Nobari ◽  
Daniel Castillo ◽  
Filipe Manuel Clemente ◽  
Jorge Carlos-Vivas ◽  
Jorge Pérez-Gómez
Keyword(s):  
High Speed ◽  
The Body ◽  
Training Load ◽  
Soccer Players ◽  
Physical Conditioning ◽  
Strength And Conditioning ◽  
Total Distance ◽  
Professional Soccer ◽  
Competitive Season ◽  
Body Load

Quantifying the external training load across the season related to the starting status of players could be relevant for physical conditioning staff, since one of the main goals is to apply the adequate individual training load. Thus, the aims of this study were to (1) monitor the acute workload (wAW), chronic workload (wCW), and acute/chronic workload ratio (wACWR) on a weekly basis using the body load (BL) in starter and non-starter professional soccer players; and (2) analyze the differences between starters and non-starters for wAW, wCW, and wACWR using BL, and (3) analyze the weekly average of distance and sprint variables during four periods of the season (pre-, early-, mid-, and end-season). Twenty-one professional soccer players (28.3 ± 3.8 years; 181.2 ± 7.0 cm; 74.4 ± 7.7 kg) belonging to the same team competing in the Iranian Persian Gulf Pro League were evaluated for a period of 48 weeks (one soccer season). The season was divided into pre-season (weeks 1–5), early-season (weeks 6–19), mid-season (weeks 20–35), and end-season (weeks 36–48). Players were classified according to their starting status: players who were in the starting line-up (i.e. starters) and players who did not make the starting line-up (i.e. non-starters). The results showed greater weekly wAW and wCW for starters compared to non-starters during the mid-season (wAW: p = 0.008, g = −1.24; wCW: p = 0.006; g = −1.31) and end-season (wAW: p = 0.001, g = −1.66; wCW: p = 0.001; g = −1.62). Starters also showed greater weekly total distance (wTD), sprint total distance (wSTD), high-speed running distance (wHSRd), and repeated sprints compared with non-starters across all four periods ( p < 0.05; g = −1.36 to −4.95), higher wHSRd/wTD during pre-season ( p = 0.007, g = −1.28) and mid-season ( p = 0.001, g = −1.62) and a greater wSTD/wTD during pre-season ( p = 0.029, g = −0.99). Based on these findings, coaches and strength and conditioning specialists should individualize training according to match exposure throughout a competitive season.

scholarly journals Match-to-match variations in external load measures during congested weeks in professional male soccer players

2021 ◽  
Keyword(s):  
External Load ◽  
High Speed ◽  
Effect Sizes ◽  
Soccer Players ◽  
Study Cohort ◽  
Positioning Systems ◽  
Load Variations ◽  
Total Distance ◽  
Global Positioning ◽  
Maximal Speed

Objectives: This study aimed to analyze within-week and within-match external load variations in male soccer players over three consecutive matches during a congested week. Methods: The study cohort included nineteen elite professional male players (age: 26.5 ± 4.3 years) from a European First League team. Players were monitored daily over a full season using measurements collected by global positioning systems (GPSs). GPS-derived measures of total distance (TD), high-speed running (HSR), high metabolic load (HML), and maximal speed (maxSpeed) were collected during each match. Results: TD and HML intensity were meaningfully lower during the second half of the season than the first half for all weeks (p < 0.05), regardless of the number of matches. Also, the standardized differences for both metrics presented moderate-to-strong effect sizes. Although no significant differences between halves were found for HSR or maxSpeed (p > 0.05), these measures presented inconsistently minimum-to-strong effect sizes in some matches in overall weeks. Conclusion: The findings of this study revealed that TD and HML distances were significantly different between halves for all weeks, regardless of the number of matches. Meanwhile, HSR and maxSpeed measures presented no significant differences across matches overall.

Do elite soccer players cover longer distance when losing? Differences between attackers and defenders

2020 ◽  
pp. 174795412098227
Author(s):  
Carlos Lago-Peñas ◽  
Anton Kalén ◽  
Miguel Lorenzo-Martinez ◽  
Roberto López-Del Campo ◽  
Ricardo Resta ◽  
...  
Keyword(s):  
New York ◽  
High Speed ◽  
Large Scale ◽  
Tracking System ◽  
Soccer Players ◽  
Running Performance ◽  
Situational Variables ◽  
Total Distance ◽  
Professional Soccer ◽  
Score Line

This study aimed to evaluate the effects playing position, match location (home or away), quality of opposition (strong or weak), effective playing time (total time minus stoppages), and score-line on physical match performance in professional soccer players using a large-scale analysis. A total of 10,739 individual match observations of outfield players competing in the Spanish La Liga during the 2018–2019 season were recorded using a computerized tracking system (TRACAB, Chyronhego, New York, USA). The players were classified into five positions (central defenders, players = 94; external defenders, players = 82; central midfielders, players = 101; external midfielders, players = 72; and forwards, players = 67) and the following match running performance categories were considered: total distance covered, low-speed running (LSR) distance (0–14 km · h−1), medium-speed running (MSR) distance (14–21 km · h−1), high-speed running (HSR) distance (>21 km · h−1), very HSR (VHSR) distance (21–24 km · h−1), sprint distance (>24 km · h−1) Overall, match running performance was highly dependent on situational variables, especially the score-line condition (winning, drawing, losing). Moreover, the score-line affected players running performance differently depending on their playing position. Losing status increased the total distance and the distance covered at MSR, HSR, VHSR and Sprint by defenders, while attacking players showed the opposite trend. These findings may help coaches and managers to better understand the effects of situational variables on physical performance in La Liga and could be used to develop a model for predicting the physical activity profile in competition.

A New Approach for Training-load Quantification in Elite-level Soccer: Contextual Factors

2020 ◽  
Author(s):  
Berni Guerrero-Calderón ◽  
Maximilian Klemp ◽  
Alfonso Castillo-Rodriguez ◽  
José Alfonso Morcillo ◽  
Daniel Memmert
Keyword(s):  
High Speed ◽  
Prediction Models ◽  
Contextual Factors ◽  
Soccer Players ◽  
Total Distance ◽  
Professional Soccer ◽  
Equivalent Distance ◽  
Physical Responses ◽  
Match Location

AbstractThe aims of this study were to analyse the physical responses of professional soccer players during training considering the contextual factors of match location, season period, and quality of the opposition; and to establish prediction models of physical responses during training sessions. Training data was obtained from 30 professional soccer players from Spanish La Liga using global positioning technology (N=1365 performances). A decreased workload was showed during training weeks prior to home matches, showing large effects in power events, equivalent distance, total distance, walk distance and low-speed running distance. Also, the quality of the opposition also affected the training workload (p<0.05). All regression-models showed moderate effects, with an adjusted R2 of 0.37 for metabolic-work, 0.34 for total distance covered, 0.25 for high-speed running distance (18–21 km·h−1), 0.29 for very high-speed running distance (21–24 km·h−1), 0.22 for sprint running distance (>24 km·h−1) and 0.34 for equivalent distance. The main finding of this study was the great association of match location, season period and quality of opposition on the workload performed by players in the training week before the match; and the development of workload prediction-models considering these contextual factors, thus proposing a new and innovative approach to quantify the workload in soccer.

Individual Response to External Training Load in Elite Football Players

2020 ◽  
Vol 15 (5) ◽  
pp. 696-704
Author(s):  
Håvard Wiig ◽  
Thor Einar Andersen ◽  
Live S. Luteberget ◽  
Matt Spencer
Keyword(s):  
External Load ◽  
High Speed ◽  
Training Load ◽  
Effect Sizes ◽  
Football Players ◽  
Individual Response ◽  
Total Distance ◽  
External Training ◽  
Tracking Devices ◽  
Very High

Purpose: To investigate within-player effect, between-player effect, and individual response of external training load from player tracking devices on session rating of perceived exertion training load (sRPE-TL) in elite football players. Methods: The authors collected sRPE-TL from 18 outfield players in 21 training sessions. Total distance, high-speed running distance (>14.4 m/s), very high-speed running distance (>19.8 m/s), PlayerLoad™, PlayerLoad2D™, and high-intensity events (HIE > 1.5, HIE > 2.5, and HIE > 3.5 m/s) were extracted from the tracking devices. The authors modeled within-player and between-player effects of single external load variables on sRPE-TL, and multiple levels of variability, using a linear mixed model. The effect of 2 SDs of external load on sRPE-TL was evaluated with magnitude-based inferences. Results: Total distance, PlayerLoad™, PlayerLoad2D™, and HIE > 1.5 had most likely substantial within-player effects on sRPE-TL (100%–106%, very large effect sizes). Moreover, the authors observed likely substantial between-player effects (12%–19%, small to moderate effect sizes) from the majority of the external load variables and likely to very likely substantial individual responses of PlayerLoad™, high-speed running distance, very high-speed running distance, and HIE > 1.5 (19%–30% coefficient of variation, moderate to large effect sizes). Finally, sRPE-TL showed large to very large between-session variability with all external load variables. Conclusions: External load variables with low intensity-thresholds had the strongest relationship with sRPE-TL. Furthermore, the between-player effect of external load and the individual response to external load advocate for monitoring sRPE-TL in addition to external load. Finally, the large between-session variability in sRPE-TL demonstrates that substantial amounts of sRPE-TL in training sessions are not explained by single external load variables.

scholarly journals Analysis of the Association between Running Performance and Game Performance Indicators in Professional Soccer Players

2019 ◽  
Vol 16 (20) ◽  
pp. 4032 ◽  
Author(s):  
Modric ◽  
Versic ◽  
Sekulic ◽  
Liposek
Keyword(s):  
Performance Indicators ◽  
High Intensity ◽  
High Speed ◽  
Body Height ◽  
Soccer Players ◽  
Running Performance ◽  
Total Distance ◽  
Professional Soccer ◽  
Performance Statistics ◽  
Game Performance

Running performance (RP) and game performance indicators (GPI) are important determinants of success in soccer (football), but there is an evident lack of knowledge about the possible associations between RP and GPI. This study aimed to identify associations between RP and GPI in professional soccer players and to compare RP and GPI among soccer playing positions. One hundred one match performances were observed over the course of half of a season at the highest level of national competition in Croatia. Players (mean ± SD, age: 23.85 ± 2.88 years; body height: 183.05 ± 8.88 cm; body mass: 78.69 ± 7.17 kg) were classified into five playing positions (central defenders (n = 26), full-backs (n = 24), central midfielders (n = 33), wide midfielders (n = 10), and forwards (n = 8). RP, as measured by global positioning system, included the total distance covered, distance covered in five speed categories (walking, jogging, running, high-speed running, and maximal sprinting), total number of accelerations, number of high-intensity accelerations, total number of decelerations, and number of high-intensity decelerations. The GPI were collected by the position-specific performance statistics index (InStat index). The average total distance was 10,298.4 ± 928.7 m, with central defenders having the shortest and central midfielders having the greatest covered distances. The running (r = 0.419, p = 0.03) and high-intensity accelerations (r = 0.493, p = 0.01) were correlated with the InStat index for central defenders. The number of decelerations of full-backs (r = −0.43, p = 0.04) and the distance covered during sprinting of forwards (r = 0.80, p = 0.02) were associated with their GPI obtained by InStat index. The specific correlations between RP and GPI should be considered during the conditioning process in soccer. The soccer training should follow the specific requirements of the playing positions established herein, which will allow players to meet the game demands and to perform successfully.

scholarly journals Seasonal Training-Load Quantification in Elite English Premier League Soccer Players

2015 ◽  
Vol 10 (4) ◽  
pp. 489-497 ◽  
Author(s):  
James J. Malone ◽  
Rocco Di Michele ◽  
Ryland Morgans ◽  
Darren Burgess ◽  
James P. Morton ◽  
...  
Keyword(s):  
Heart Rate ◽  
Training Load ◽  
Soccer Players ◽  
Maximal Heart Rate ◽  
Time Points ◽  
Total Distance ◽  
Professional Soccer ◽  
Premier League ◽  
Daily Training ◽  
English Premier League

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 × 1-wk microcycles. In-season data were analyzed across 6 × 6-wk mesocycle blocks and 3 × 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 [%HRmax], 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.

scholarly journals Influence of contextual factors on physical demands and technical-tactical actions regarding playing position in professional soccer players

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Adrián Díez ◽  
Demetrio Lozano ◽  
Jose Luis Arjol-Serrano ◽  
Elena Mainer-Pardos ◽  
Daniel Castillo ◽  
...  
Keyword(s):  
High Speed ◽  
Final Outcome ◽  
Soccer Players ◽  
Medium Effect ◽  
Analysis Tool ◽  
Convenience Sample ◽  
Physical Demands ◽  
Total Distance ◽  
Professional Soccer ◽  
At Home

Abstract Background The aim of this study was to analyse the physical demands and technical-tactical actions for each playing position according to game location and final outcome in professional soccer players. Methods A convenience sample was obtained from twenty-one professional male soccer players, belonged to same soccer team of the Spanish Second Division. Players’ physical demands were monitored during each match using a portable 18 Hz GPS unit and 600 Hz triaxial accelerometer. These analysed demands were total distance, moderate speed running distance (>14.4 km·h-1), high-speed running distance (>19.8. km·h-1), sprint distance (>25.0 km·h-1), number of accelerations between 2 and 4 m·s-2 and above 4 m·s-2, and number of decelerations between 2 and 4 m·s-2 and above 4 m·s-2. The data related to technical-tactical actions were obtained from WyScout®, a computerized multiple-camera tracking system based on the OPTA® track analysis tool. The obtained indicators were general, defensive and offensive. Results For all players, higher total distance (p = 0.045; effect size [ES] = 0.24, small effect) was covered and greater deceleration 2-4 m·ss-2 (p = 0.001; ES = 0.68, medium effect) was performed when the team plays at home and lose and for all players, playing at home and winning demanded higher defensive volume (p =0.014; ES = − 1.49, large effect) and nº interceptions (p =0.031; ES = − 1.40, large effect) in comparison to playing at home and losing. Conclusions The physical demands and technical-tactical actions vary when contextual game factors (i.e., match location and final outcome) are considered. We can confirm that, although the training of physical demands does not influence the final result of the match, the training of technical tactical actions could help to achieve an optimal performance of the team to win matches.

scholarly journals Blood Biomarkers Variations across the Pre-Season and Interactions with Training Load: A Study in Professional Soccer Players

2021 ◽  
Vol 10 (23) ◽  
pp. 5576
Author(s):  
Filipe Manuel Clemente ◽  
Francisco Tomás González-Fernández ◽  
Halil Ibrahim Ceylan ◽  
Rui Silva ◽  
Saeid Younesi ◽  
...  
Keyword(s):  
Injury Risk ◽  
Perceived Exertion ◽  
Hematological Parameters ◽  
Blood Parameters ◽  
Training Load ◽  
Soccer Players ◽  
Immune Functions ◽  
Professional Soccer ◽  
Biochemical Analyses ◽  
And Training

Background: Pre-season training in soccer can induce changes in biological markers in the circulation. However, relationships between chosen hematological and biochemical blood parameters and training load have not been measured. Objective: Analyze the blood measures changes and their relationships with training loads changes after pre-season training. Methodology: Twenty-five professional soccer players were assessed by training load measures (derived from rate of perceived exertion- known as RPE) during the pre-season period. Additionally, blood samples were collected for hematological and biochemical analyses. Results: For hematological parameters, significant increases were found for platelets (PLT) (dif: 6.42; p = 0.006; d = −0.36), while significant decreases were found for absolute neutrophils count (ANC) (dif: −3.98; p = 0.006; d = 0.11), and absolute monocytes count (AMC) (dif: −16.98; p = 0.001; d = 0.78) after the pre-season period. For biochemical parameters, there were significant increases in creatinine (dif: 5.15; p = 0.001; d = −0.46), alkaline phosphatase (ALP) (dif: 12.55; p = 0.001; d = −0.84), C-reactive protein (CRP) (dif: 15.15; p = 0.001; d = −0.67), cortisol (dif: 2.85; p = 0.001; d = −0.28), and testosterone (dif: 5.38; p = 0.001; d = −0.52), whereas there were significant decreases in calcium (dif: −1.31; p = 0.007; d =0.49) and calcium corrected (dif: −2.18; p = 0.015; d = 0.82) after the pre-season period. Moreover, the Hooper Index (dif: 13.22; p = 0.01; d = 0.78), and all derived RPE measures increased after pre-season period. Moderate-to-very large positive and negative correlations (r range: 0.50–0.73) were found between the training load and hematological measures percentage of changes. Moderate-to-large positive and negative correlations (r range: 0.50–0.60) were found between training load and biochemical measures percentage of changes. Conclusions: The results indicated heavy physical loads during the pre-season, leading to a decrease in immune functions. Given the significant relationships between blood and training load measures, monitoring hematological and biochemical measures allow coaches to minimize injury risk, overreaching, and overtraining.

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