Background The objective of soccer training load (TL) is enhancing players’ performance while minimizing the possible negative effects induced by fatigue. In this regard, monitoring workloads and recovery is necessary to avoid overload and injuries. Given the controversial results found in literature, this study aims to better understand the complex relationship between internal training load (IL) by using rating of perceived exertion (RPE), recovery, and availability (i.e., subjective players’ readiness status). Methods In this cross-sectional study, twenty-two-professional soccer players (age: 18.5 ± 0.4 years, height: 177 ± 6 cm, weight: 67 ± 6.7 kg) competing in the U19 Italian Championship were monitored using RPE scale to assess ...
To investigate the association between contact injuries, noncontact injuries, and training load indi...
Background In professional senior soccer, training load monitoring is used to ensure an optimal work...
Purpose: The ability to accurately control and monitor internal training load is an important aspect...
Abstract Periods of intensified training may increase athletes' fatigue and impair th...
PURPOSE: Machine learning may contribute to understanding the relationship between the external load...
A high training load could increase the risk of injury in soccer players. However, there is still a ...
PURPOSE: Machine learning may contribute to understanding the relationship between the external load...
The use of machine learning (ML) in soccer allows for the management of a large amount of data deriv...
The aim of this study was to identify the external training load (ETL) variables that are most influ...
Brink, MS, Nederhof, E, Visscher, C, Schmikli, SL, and Lemmink, KAPM. Monitoring load, recovery, and...
The aim of our study was to investigate the internal and external load responses between matches pla...
The process of load and recovery is a key concept to optimize soccer performance and well-being. To ...
Introduction: In elite athletes, the margins between success and failure are very small, and so to ...
Purpose: The aim of the current study was to identify the external-training-load markers that are mo...
Periodization of athlete training load to improve performance and maximize recovery, while reducing ...
To investigate the association between contact injuries, noncontact injuries, and training load indi...
Background In professional senior soccer, training load monitoring is used to ensure an optimal work...
Purpose: The ability to accurately control and monitor internal training load is an important aspect...
Abstract Periods of intensified training may increase athletes' fatigue and impair th...
PURPOSE: Machine learning may contribute to understanding the relationship between the external load...
A high training load could increase the risk of injury in soccer players. However, there is still a ...
PURPOSE: Machine learning may contribute to understanding the relationship between the external load...
The use of machine learning (ML) in soccer allows for the management of a large amount of data deriv...
The aim of this study was to identify the external training load (ETL) variables that are most influ...
Brink, MS, Nederhof, E, Visscher, C, Schmikli, SL, and Lemmink, KAPM. Monitoring load, recovery, and...
The aim of our study was to investigate the internal and external load responses between matches pla...
The process of load and recovery is a key concept to optimize soccer performance and well-being. To ...
Introduction: In elite athletes, the margins between success and failure are very small, and so to ...
Purpose: The aim of the current study was to identify the external-training-load markers that are mo...
Periodization of athlete training load to improve performance and maximize recovery, while reducing ...
To investigate the association between contact injuries, noncontact injuries, and training load indi...
Background In professional senior soccer, training load monitoring is used to ensure an optimal work...
Purpose: The ability to accurately control and monitor internal training load is an important aspect...