Background: The aim of the present study was to examine the spatial relations between teams (macro-level) and groups of players (meso-level) that afford successful penetrative passes (off-ball advantage) in elite football.
Methods: Three balanced home matches from a Premier League team with 91 ball possessions in which a pass was performed into the opposition defensive area and overpassed the first defensive line, promoting a perturbation of the defensive team equilibrium, were selected for analysis. The spatial relations between teams were measured through spatial variables that captured the areas occupied by the teams, while the spatial relations between players were measured through variables that captured the distances and angles between attacking and defending players near the ball.
Results: Results revealed, at the macro-level, higher values of width ratio between teams and the width of the attacking team for unsuccessful penetrative passes (UPP), when compared to successful penetrative passes (SPP). At the meso-level, a general decrease in distances and an increase in angles between attacking and defending players were observed between successful to unsuccessful penetrative passes.
Conclusions: These findings highlight the importance of using positional data analysis to identify teams' tactical profiles and to potentiate coaches' interventions.
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http://dx.doi.org/10.1080/24733938.2022.2060519 | DOI Listing |
BMC Public Health
July 2022
San Francisco (UCSF) Department of Medicine, Division of Prevention Sciences, Center for AIDS Prevention Studies (CAPS), University of California, 550 16th Street, 3rd Floor, San Francisco, CA, 94158, USA.
Background: Most HIV cure-related studies involve interrupting antiretroviral treatment to assess the efficacy of pharmacologic interventions - also known as analytical treatment interruptions (ATIs). ATIs imply the risk of passing HIV to sexual partners due to the loss of undetectable HIV status. There has been a notable lack of attention paid to perceptions of ATIs among racial, ethnic, sex and gender minorities, and HIV serodifferent couples.
View Article and Find Full Text PDFSci Med Footb
May 2023
Portugal Football School, Portuguese Football Federation, Oeiras, Portugal.
Background: The aim of the present study was to examine the spatial relations between teams (macro-level) and groups of players (meso-level) that afford successful penetrative passes (off-ball advantage) in elite football.
Methods: Three balanced home matches from a Premier League team with 91 ball possessions in which a pass was performed into the opposition defensive area and overpassed the first defensive line, promoting a perturbation of the defensive team equilibrium, were selected for analysis. The spatial relations between teams were measured through spatial variables that captured the areas occupied by the teams, while the spatial relations between players were measured through variables that captured the distances and angles between attacking and defending players near the ball.
Appl Radiat Isot
February 2022
Ankara University Institute of Nuclear Sciences, Ankara, Turkey.
Purpose: This study aims at analyzing beam data commissioning along with verifying Monte Carlo-based treatment planning system on the basis of the manufacturer guidelines for Elekta Versa HD Linear Accelerator. Moreover, evaluating the beam match process in terms of quality index, photon profile and multi leaf collimator (MLC) offset is aimed as well.
Materials And Methods: The process of collecting beam data for Monaco 5.
J Sports Sci
October 2021
Institute of Exercise Training and Sport Informatics, German Sport University Cologne, Cologne, NRW, Germany.
The aim of this study was to analyse footballers' tactical behaviours from their position data, as an effect of two contrasting pressing strategies, high-press defending and deep-defending, using a trial-based experimental approach. Sixty-nine youth footballers participated in this 11 versus 11 study, performing 72 trials of attack versus defence, in a counterbalanced crossover study design. Players' position data were captured using a local positioning system, and processed to calculate measures of inter-team distance, trial duration, distance to nearest opponent, dispersion, team length, team width, team shape, space control gain, inter-line distance, and individual area.
View Article and Find Full Text PDFSci Rep
May 2021
CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, Estrada da Costa, 1495-751, Cruz Quebrada, Portugal.
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