The relationship between training load and fitness indices over a pre-season in professional soccer players

2020 ◽  
Vol 60 (3) ◽  
Author(s):  
Leonidas Papadakis ◽  
Charis Tymvios ◽  
Konstantinos Patras
Keyword(s):  
Training Load ◽  
Soccer Players ◽  
Professional Soccer ◽  
The Relationship

Relationship of Training Load with High-intensity Running in Professional Soccer Players

2019 ◽  
Vol 40 (05) ◽  
pp. 336-343 ◽  
Author(s):  
Marcus Lee ◽  
Swarup Mukherjee
Keyword(s):  
High Intensity ◽  
Training Load ◽  
Soccer Players ◽  
Moderate Intensity ◽  
Professional Soccer ◽  
Repeated Sprint ◽  
Relationship Of ◽  
The Relationship ◽  
Test Level ◽  
Level 2

AbstractThis study determined the training load (TL) and its relationship with high-intensity running performance across the season in professional soccer players. The TL, YoYo Intermittent Recovery Test Level 2 (YYIR 2) and repeated sprint ability (RSA) were monitored in 29 players (age 26.2±3.8 years, height 173.6±5.6 cm, body mass 68.5±8.6 kg). In the mid in-season (MS), Lucia TRIMP (TRIMPL) was inversely correlated with YYIR 2 (r=−0.6, p<0.05), with total distance (TD), work-rate (WR), low-intensity distance (LID) and player load (PL) showing correlation with YYIR 2 (r=0.81, 0.77, 0.88, 0.67; p<0.05) in the late in-season (LS). In pre-season (PS), TD, WR and moderate-intensity distance (MID) were correlated with YYIR 2 (r=0.65, 0.80, 0.83, p<0.05), whereas in early in-season (ES), TD, WR, LID were correlated with YYIR 2 performance (r=0.58, 0.67, 0.55, p<0.05). There was no significant relationship (p>0.05) between TL and RSA. The findings showed the volume, intensity and types of TL accrued influences the relationship with physical performance that suggest the significance of phase-specific monitoring of TL for maximizing performance in soccer players.

scholarly journals Heart Rate Variability Relates with Competition Performance in Professional Soccer Players

Hearts ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 36-44
Author(s):  
Michele Malagù ◽  
Francesco Vitali ◽  
Ugo Rizzo ◽  
Alessandro Brieda ◽  
Ottavio Zucchetti ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Training Load ◽  
Soccer Players ◽  
Individual Response ◽  
Square Root ◽  
Total Distance ◽  
Professional Soccer ◽  
The Mean ◽  
The Relationship

Background: Heart rate variability (HRV) is widely used in professional soccer players as a tool to assess individual response to training load. Different devices and methods are available for HRV assessment. The relationship between HRV and competitive soccer matches performance is not documented. Methods: We monitored HRV in professional soccer players throughout a game season. Measurements were performed with a portable lightweight device in weekly 5 min sessions from which we obtained the value of the square root of the mean squared differences of successive beat-to-beat intervals (rMSSD). Game parameters of run and velocity were collected. Results: Twenty-seven players were monitored with a total of 121 observations. The rMSSD significantly related with the total distance covered (p = 0.036) and with the distance covered running at >15 km/h (p = 0.039) during soccer games. Conclusions: HRV was associated with competition performance in professional soccer players.

scholarly journals Internal and External Training Load in Under-19 versus Professional Soccer Players during the In-Season Period

2021 ◽  
Vol 18 (2) ◽  
pp. 558
Author(s):  
Sullivan Coppalle ◽  
Guillaume Ravé ◽  
Jason Moran ◽  
Iyed Salhi ◽  
Abderraouf Ben Abderrahman ◽  
...  
Keyword(s):  
Perceived Exertion ◽  
Training Session ◽  
Training Load ◽  
Rating Of Perceived Exertion ◽  
Soccer Players ◽  
Time Intervals ◽  
Professional Soccer ◽  
Global Positioning ◽  
External Training ◽  
Soccer Team

This study aimed to compare the training load of a professional under-19 soccer team (U-19) to that of an elite adult team (EAT), from the same club, during the in-season period. Thirty-nine healthy soccer players were involved (EAT [n = 20]; U-19 [n = 19]) in the study which spanned four weeks. Training load (TL) was monitored as external TL, using a global positioning system (GPS), and internal TL, using a rating of perceived exertion (RPE). TL data were recorded after each training session. During soccer matches, players’ RPEs were recorded. The internal TL was quantified daily by means of the session rating of perceived exertion (session-RPE) using Borg’s 0–10 scale. For GPS data, the selected running speed intensities (over 0.5 s time intervals) were 12–15.9 km/h; 16–19.9 km/h; 20–24.9 km/h; >25 km/h (sprint). Distances covered between 16 and 19.9 km/h, > 20 km/h and >25 km/h were significantly higher in U-19 compared to EAT over the course of the study (p =0.023, d = 0.243, small; p = 0.016, d = 0.298, small; and p = 0.001, d = 0.564, small, respectively). EAT players performed significantly fewer sprints per week compared to U-19 players (p = 0.002, d = 0.526, small). RPE was significantly higher in U-19 compared to EAT (p =0.001, d = 0.188, trivial). The external and internal measures of TL were significantly higher in the U-19 group compared to the EAT soccer players. In conclusion, the results obtained show that the training load is greater in U19 compared to EAT.

scholarly journals Relationship between External and Internal Workloads in Elite Soccer Players: Comparison between Rate of Perceived Exertion and Training Load

2019 ◽  
Vol 9 (23) ◽  
pp. 5174
Author(s):  
Alessio Rossi ◽  
Enrico Perri ◽  
Luca Pappalardo ◽  
Paolo Cintia ◽  
F. Iaia
Keyword(s):  
Perceived Exertion ◽  
Selection Process ◽  
Team Sports ◽  
Training Load ◽  
Soccer Players ◽  
Gps Tracking ◽  
Individual Response ◽  
Rate Of Perceived Exertion ◽  
The Relationship ◽  
And Training

The use of machine learning (ML) in soccer allows for the management of a large amount of data deriving from the monitoring of sessions and matches. Although the rate of perceived exertion (RPE), training load (S-RPE), and global position system (GPS) are standard methodologies used in team sports to assess the internal and external workload; how the external workload affects RPE and S-RPE remains still unclear. This study explores the relationship between both RPE and S-RPE and the training workload through ML. Data were recorded from 22 elite soccer players, in 160 training sessions and 35 matches during the 2015/2016 season, by using GPS tracking technology. A feature selection process was applied to understand which workload features influence RPE and S-RPE the most. Our results show that the training workloads performed in the previous week have a strong effect on perceived exertion and training load. On the other hand, the analysis of our predictions shows higher accuracy for medium RPE and S-RPE values compared with the extremes. These results provide further evidence of the usefulness of ML as a support to athletic trainers and coaches in understanding the relationship between training load and individual-response in team sports.

scholarly journals Does the distribution of the weekly training load account for the match results of elite professional soccer players?

2020 ◽  
Vol 225 ◽  
pp. 113118
Author(s):  
Rafael Oliveira ◽  
João P. Brito ◽  
Nuno Loureiro ◽  
Vitor Padinha ◽  
Bruno Ferreira ◽  
...  
Keyword(s):  
Training Load ◽  
Soccer Players ◽  
Professional Soccer ◽  
Weekly Training

scholarly journals Relative Training Load and Match Outcome: Are Professional Soccer Players Actually Undertrained during the In-Season?

Sports ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 139
Author(s):  
Toni Modric ◽  
Mario Jelicic ◽  
Damir Sekulic
Keyword(s):  
Global Positioning System ◽  
High Intensity ◽  
Training Session ◽  
Training Load ◽  
Soccer Players ◽  
Positioning System ◽  
Distance Ratio ◽  
Low Intensity ◽  
Professional Soccer ◽  
Global Positioning

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.

Heart Rate Variability as Biomarker of Training Load in Professional Soccer Players

2014 ◽  
Vol 46 ◽  
pp. 842-843 ◽  
Author(s):  
Javier J. Vilamitjana ◽  
Néstor A. Lentini ◽  
Mario F. Perez ◽  
Pablo E. Verde
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Training Load ◽  
Soccer Players ◽  
Professional Soccer

Sport-Specific Outdoor Rehabilitation in a Group Setting: Do the Intentions Match Actual Training Load?

2018 ◽  
Vol 27 (2) ◽  
pp. 151-156 ◽  
Author(s):  
Jeroen de Bruijn ◽  
Henk van der Worp ◽  
Mark Korte ◽  
Astrid de Vries ◽  
Rick Nijland ◽  
...  
Keyword(s):  
Heart Rate ◽  
Perceived Exertion ◽  
Training Load ◽  
Soccer Players ◽  
Group Setting ◽  
Ratings Of Perceived Exertion ◽  
Lower Limb Injury ◽  
Distance Data ◽  
Group Rehabilitation ◽  
The Relationship

Context: Previous research has shown a weak relationship between intended and actual training load in various sports. Due to variety in group and content, this relationship is expected to be even weaker during group rehabilitation. Objective: The goal of this study was to examine the relationship between intended and actual training load during sport-specific rehabilitation in a group setting. Design: Observational study. Setting: Three outdoor rehabilitation sessions. Participants: Nine amateur soccer players recovering from lower limb injury participated in the study (age 22 ± 3 y, height 179 ± 9 cm, body mass 75 ± 13 kg). Main Outcome Measures: We collected physiotherapists’ ratings of intended exertion (RIE) and players’ ratings of perceived exertion (RPE). Furthermore, Zephyr Bioharness 3 equipped with GPS-trackers provided heart rate and distance data. We computed heart rate–based training loads using Edwards’ method and a modified TRIMP. Results: Overall, we found weak correlations (N = 42) between RIE and RPE (r = 0.35), Edwards’ (r = 0.34), TRIMPMOD (r = 0.07), and distance (r = 0.26). Conclusions: In general, physiotherapists tended to underestimate training loads. To check whether intended training loads are met, it is thus recommended to monitor training loads during rehabilitation.

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.

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