Percorrer por autor "Ruzmetov, Nemat"
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- Analyzing Key Factors on Training Days within a Standard Microcycle for Young Sub-Elite Football Players: A Principal Component ApproachPublication . Teixeira, José Eduardo; Branquinho, Luís; Ferraz, Ricardo; Morgans, Ryland; Encarnação, Samuel; Ribeiro, Joana; Afonso, Pedro; Ruzmetov, Nemat; Barbosa, Tiago M.; Monteiro, A.M.; Forte, PedroUtilizing techniques for reducing multivariate data is essential for comprehensively understanding the variations and relationships within both biomechanical and physiological datasets in the context of youth football training. Therefore, the objective of this study was to identify the primary factors influencing training sessions within a standard microcycle among young sub-elite football players. A total of 60 male Portuguese youth sub-elite footballers (15.19 1.75 years) were continuous monitored across six weeks during the 2019–2020 in-season, comprising the training days from match day minus (MD-) 3, MD-2, and MD-1. The weekly training load was collected by an 18 Hz global positioning system (GPS), 1 Hz heart rate (HR) monitors, the perceived exertion (RPE) and the total quality recovery (TQR). A principal component approach (PCA) coupled with a Monte Carlo parallel analysis was applied to the training datasets. The training datasets were condensed into three to five principal components, explaining between 37.0% and 83.5% of the explained variance (proportion and cumulative) according to the training day (p < 0.001). Notably, the eigenvalue for this study ranged from 1.20% to 5.21% within the overall training data. The PCA analysis of the standard microcycle in youth sub-elite football identified that, across MD-3, MD-2, and MD-1, the first was dominated by the covered distances and sprinting variables, while the second component focused on HR measures and training impulse (TRIMP). For the weekly microcycle, the first component continued to emphasize distance and intensity variables, with the ACC and DEC being particularly influential, whereas the second and subsequent components included HR measures and perceived exertion. On the three training days analyzed, the first component primarily consisted of variables related to the distance covered, running speed, high metabolic load, sprinting, dynamic stress load, accelerations, and decelerations. The high intensity demands have a high relative weight throughout the standard microcycle, which means that the training load needs to be carefully monitored and managed.
- Observational Analysis in Basketball: A literature reviewPublication . Branquinho, Luís; Marques, Mário C.; Paiva, Eduardo; Reis, Tiago; Sousa, Ana Maria; Barbosa, Tiago M.; Ruzmetov, Nemat; Matos, Sérgio; Arede, Jorge; Teixeira, José Eduardo; Forte, Pedro; Ferraz, RicardoTechnological instruments and methods for monitoring, observation, and analysis have become increasingly important for gaining insights into basketball performance. Thus, this literature review aimed to compile information about methods and instruments for observational analysis in Basketball. Previous studies have applied several valid methods for physiological, technical, and tactical analysis in Basketball, specifically: Instrument for evaluating individual technical-tactical performance in Basketball (IAD-BB); Team Sports Assessment Procedure (TSAP); Game Performance Assessment Instrument (GPAI). Also, this type of analysis can be supported by time-motion analysis (TMA) analysis using analysis software with emphasis on Match Vision (software Studio 3.0, International Basketball Federation). In conclusion, the application of observation and analysis instruments in Basketball is valid, and repeatableObservational analysis can be applied in Basketball insights for talent identification; training design and management; technical and tactical performance analysis. Future challenges and research issues will be to compare observation strategies that combine instruments, integrating physical, technical, and tactical factors in Basketball performance analysis.