Horizontal Force-Velocity-Power Profiling of Rugby Players

The aim of this study was to examine the kinematics and kinetics (force, velocity, and acceleration) and blood lactate concentration with the VersaPulley (VP) device in comparison with free-weight (FW) exercise at a similar external load. Fifteen rugby players randomly performed 2 training sessions of 6 sets of 6 repetitions with 20 s of recovery between sets of the high-pull exercise with the VP and the FW. The training sessions were separated by 72 h. Barbell displacement (cm), peak velocity (m/s), peak acceleration (m/s2), mean propulsive velocity (m/s), mean propulsive acceleration (m/s2), propulsive phase (%), and mean and maximal force (N) were continuously recorded during each repetition. Blood lactate concentration was measured after each training session (end) and 3 min and 5 min later. Barbell displacement (+4.8%, small ES), peak velocity (+4.5% small ES), mean propulsive acceleration (+8.8%, small ES), and eccentric force (+26.7, large ES) were substantially higher with VP than with FW. Blood lactate concentration was also greater after the VP exercise (end +32.9%, 3 min later +36%, 5 min later +33.8%; large ES). Maximal concentric force was substantially higher with FW than VP during the 6th set (+6.4%, small ES). In the cohort and exercise investigated in the current study, VP training can be considered an efficient training device to induce an accentuated eccentric overload and augmented metabolic demands (ie, blood lactate concentration).

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Association between vertical and horizontal force-velocity-power profiles in netball players

Journal of Human Sport and Exercise ◽

10.14198/jhse.2022.171.09 ◽

2020 ◽

Vol 17 (1) ◽

Author(s):

Juan Antonio Escobar-Álvarez ◽

Juan Pedro Fuentes-García ◽

Filipe Almeida Viana-da-Conceição ◽

Pedro Jiménez-Reyes

Keyword(s):

Horizontal Force ◽

Force Velocity

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Association of the Vertical and Horizontal Force-Velocity Profile and Acceleration With Change of Direction Ability in Various Sports

European Journal of Sport Science ◽

10.1080/17461391.2020.1856934 ◽

2020 ◽

pp. 1-21

Author(s):

Andrés Baena-Raya ◽

Alberto Soriano-Maldonado ◽

Filipe Conceição ◽

Pedro Jiménez-Reyes ◽

Manuel A. Rodríguez-Pérez

Keyword(s):

Velocity Profile ◽

Horizontal Force ◽

Change Of Direction ◽

Force Velocity

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Squat and Bench Press Force-Velocity Profiling in Male and Female Adolescent Rugby Players

The Journal of Strength and Conditioning Research ◽

10.1519/jsc.0000000000003336 ◽

2019 ◽

Vol Publish Ahead of Print ◽

Cited By ~ 1

Author(s):

Diego A. Alonso-Aubin ◽

Iván Chulvi-Medrano ◽

Juan M. Cortell-Tormo ◽

Moisés Picón-Martínez ◽

Tamara Rial Rebullido ◽

...

Keyword(s):

Bench Press ◽

Female Adolescent ◽

Male And Female ◽

Force Velocity ◽

Rugby Players

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The Effect of Cluster Loading on Force, Velocity, and Power During Ballistic Jump Squat Training

International Journal of Sports Physiology and Performance ◽

10.1123/ijspp.6.4.455 ◽

2011 ◽

Vol 6 (4) ◽

pp. 455-468 ◽

Cited By ~ 31

Author(s):

Keir T. Hansen ◽

John B. Cronin ◽

Michael J. Newton

Keyword(s):

Effect Size ◽

Peak Power ◽

Peak Velocity ◽

Controlled Trials ◽

The Third ◽

Percent Difference ◽

Force Velocity ◽

Rugby Players

Purpose:The purpose of this study was to investigate the effect of set structure, in terms of repetition workrest ratios on force, velocity, and power during jump squat training.Methods:Twenty professional and semiprofessional rugby players performed training sessions comprising four sets of 6 repetitions of a jump squat using four different set configurations. The first involved a traditional configuration (TR) of 4 × 6 repetitions with 3 min of rest between sets, the second (C1) 4 × 6 × singles (1 repetition) with 12 s of rest between repetitions, the third (C2) 4x3 × doubles (2 repetitions) with 30 s of rest between pairs, and the third (C3) 4 × 2 × triples (3 repetitions) with 60 s of rest between triples. A spreadsheet for the analysis of controlled trials that calculated the P-value, and percent difference and Cohen’s effect size from log-transformed data was used to investigate differences in repetition force, velocity, and power profiles among configurations.Results:Peak power was significantly lower (P < .05) for the TR condition when compared with C1 and C3 for repetition 4, and all cluster configurations for repetitions 5 and 6. Peak velocity was significantly lower (P < .05) for the TR condition compared with C3 at repetition 4, significantly lower compared with C2 and C3 at repetition 5, and significantly lower compared with all cluster conditions for repetition 6.Conclusions:Providing inter-repetition rest during a traditional set of six repetitions can attenuate decreases in power and velocity of movement through the set.

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Sprint and Jump Mechanical Profiles in Academy Rugby League Players: Positional Differences and the Associations between Profiles and Sprint Performance

Sports ◽

10.3390/sports9070093 ◽

2021 ◽

Vol 9 (7) ◽

pp. 93

Author(s):

Ben Nicholson ◽

Alex Dinsdale ◽

Ben Jones ◽

Kevin Till

Keyword(s):

Maximum Velocity ◽

Mechanical Efficiency ◽

Rugby League ◽

Sprint Performance ◽

Vertical Force ◽

Horizontal Force ◽

Cross Sectional ◽

Performance Variables ◽

Force Velocity ◽

And Performance

This cross-sectional study evaluated the sprint and jump mechanical profiles of male academy rugby league players, the differences between positions, and the associations between mechanical profiles and sprint performance. Twenty academy rugby league players performed 40-m sprints and squat jumps at increasing loads (0–80 kg) to determine individual mechanical (force-velocity-power) and performance variables. The mechanical variables (absolute and relative theoretical maximal force-velocity-power, force-velocity linear relationship, and mechanical efficiency) were determined from the mechanical profiles. Forwards had significantly (p < 0.05) greater vertical and horizontal force, momentum but jumped lower (unloaded) and were slower than backs. No athlete presented an optimal jump profile. No associations were found between jump and sprint mechanical variables. Absolute theoretical maximal vertical force significantly (p < 0.05) correlated (r = 0.71–0.77) with sprint momentum. Moderate (r = −0.47) to near-perfect (r = 1.00) significant associations (p < 0.05) were found between sprint mechanical and performance variables. The largest associations shifted from maximum relative horizontal force-power generation and application to maximum velocity capabilities and force application at high velocities as distance increased. The jump and sprint mechanical profiles appear to provide distinctive and highly variable information about academy rugby league players’ sprint and jump capacities. Associations between mechanical variables and sprint performance suggest horizontal and vertical profiles differ and should be trained accordingly.

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Comparison of two measurement devices for obtaining horizontal force-velocity profile variables during sprint running

International Journal of Sports Science & Coaching ◽

10.1177/17479541211067211 ◽

2022 ◽

pp. 174795412110672

Author(s):

Erin Feser ◽

Kyle Lindley ◽

Kenneth Clark ◽

Neil Bezodis ◽

Christian Korfist ◽

...

Keyword(s):

Random Error ◽

Maximum Velocity ◽

American Football ◽

Systematic Bias ◽

Maximal Velocity ◽

Horizontal Force ◽

Time Data ◽

Measured Velocity ◽

Theoretical Maximum ◽

Force Velocity

This study established the magnitude of systematic bias and random error of horizontal force-velocity (F-v) profile variables obtained from a 1080 Sprint compared to that obtained from a Stalker ATS II radar device. Twenty high-school athletes from an American football training group completed a 30 m sprint while the two devices simultaneously measured velocity-time data. The velocity-time data were modelled by an exponential equation fitting process and then used to calculate individual F-v profiles and related variables (theoretical maximum velocity, theoretical maximum horizontal force, slope of the linear F-v profile, peak power, time constant tau, and horizontal maximal velocity). The devices were compared by determining the systematic bias and the 95% limits of agreement (random error) for all variables, both of which were expressed as percentages of the mean radar value. All bias values were within 6.32%, with the 1080 Sprint reporting higher values for tau, horizontal maximal velocity, and theoretical maximum velocity. Random error was lowest for velocity-based variables but exceeded 7% for all others, with slope of the F-v profile being greatest at ±12.3%. These results provide practitioners with the information necessary to determine if the agreement between the devices and the magnitude of random error is acceptable within the context of their specific application.

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