The aim of this investigation was to describe differences in training loads between position groups within professional American football. Integrated micro technology data were collected on 63 NFL football players during an American football training camp. Five key metrics (total distance, high-speed distance, player load (PL), PL per minute, and total inertial movement analysis [IMA]) served to quantify both running and nonrunning activities. Players were classified into position groups (defensive back [DB], defensive linemen [DL], linebacker, offensive linemen [OL], quarterback, running back, tight end, and wide receiver [WR]). Training sessions were identified by their relationship to the upcoming match (e.g., -4, -3, and -2). Running an...
Time-motion data was used to classify a selection of training drills. Ten midfielders (age=23.8±1.8y...
Time-motion data was used to classify a selection of training drills. Ten midfielders (age=23.8±1.8y...
Objectives: To determine the impact of pre-season training loads on in-season match activity profile...
The aim of this investigation was to describe differences in training loads between position groups ...
The aim of this investigation was to describe differences in training loads between position groups ...
Quantification of training and match load is an important method to personalize the training stimulu...
Quantification of training and match load is an important method to personalize the training stimulu...
This study aimed to describe the physical demands of American football players using novel performan...
Emma E. Worley. University of South Carolina, Columbia, SC. BACKGROUND: Preseason fall training camp...
This study aimed to describe the physical demands of American football players using novel performan...
Emma E. Worley. University of South Carolina, Columbia, SC. BACKGROUND: Preseason fall training camp...
Within the literature, different playing positions present different external load profiles in match...
Quantification of training and match load is an important method to personalize the training stimulu...
The aim of this investigation was to determine the position and duration specific activity of the mo...
The aim of this investigation was to determine the position and duration specific activity of the mo...
Time-motion data was used to classify a selection of training drills. Ten midfielders (age=23.8±1.8y...
Time-motion data was used to classify a selection of training drills. Ten midfielders (age=23.8±1.8y...
Objectives: To determine the impact of pre-season training loads on in-season match activity profile...
The aim of this investigation was to describe differences in training loads between position groups ...
The aim of this investigation was to describe differences in training loads between position groups ...
Quantification of training and match load is an important method to personalize the training stimulu...
Quantification of training and match load is an important method to personalize the training stimulu...
This study aimed to describe the physical demands of American football players using novel performan...
Emma E. Worley. University of South Carolina, Columbia, SC. BACKGROUND: Preseason fall training camp...
This study aimed to describe the physical demands of American football players using novel performan...
Emma E. Worley. University of South Carolina, Columbia, SC. BACKGROUND: Preseason fall training camp...
Within the literature, different playing positions present different external load profiles in match...
Quantification of training and match load is an important method to personalize the training stimulu...
The aim of this investigation was to determine the position and duration specific activity of the mo...
The aim of this investigation was to determine the position and duration specific activity of the mo...
Time-motion data was used to classify a selection of training drills. Ten midfielders (age=23.8±1.8y...
Time-motion data was used to classify a selection of training drills. Ten midfielders (age=23.8±1.8y...
Objectives: To determine the impact of pre-season training loads on in-season match activity profile...