The competitive activity structure of highly skilled basketball players on the basis of factor analysis methods

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The study purpose was to examine, analyze, and generalize the competitive activity structure based on the hierarchy of technical and tactical indicators of skilled female basketball players in won and lost games using principal component analysis. Materials and methods. The study participants were 96 professional female basketball players, members of national teams of Spain, France, Belgium, Greece, Turkey, Latvia, Italy, and Slovakia, which took the 1st-8th places in the final tournament of the European Basketball Championship 2017. The study analyzed 16 main technical and tactical indicators of skilled female basketball players in 52 official games to examine and interpret the obtained results using principal component analysis. The total number of observations is 52. Results. The experimental indicators obtained during the study made it possible to examine and analyze the grouping of elements of the competitive activity structure of skilled female basketball players, to interpret the obtained results in order to define informative criteria for optimizing training and improving the competitive activity effectiveness. The study revealed considerable differences in the competitive activity structure in won and lost games: in accordance with the most significant indicators of factor loadings, the percentage of a sample of elements that correlate with one another is: for won games – 67.40%, for lost games – 69.52%. Conclusions. Principal component analysis is quite effective and informative for studying the competitive activity structure of skilled female basketball players. It was demonstrated that the greatest difficulties in studying the competitive activity structure in basketball using principal component analysis are the selection of indicators that do not duplicate one another and are not calculated, expert interpretation of the obtained results, and algorithmization of special analysis of technical and tactical indicators.

Section: Discussionsupporting

confidence: 70%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Analysis of the Competitive Activity Structure of Skilled Female Basketball Players

Doroshenko

Sushko

Shamardin³

et al. 2020

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“…The most difficult is to control competitive activities in team sports. First of all, this is related to the multi-factor structure of competitive activity in these sports (Kostiukevych, 2006;Doroshenko, Sushko, Koryahin, Pityn, Tkalich, & Blavt, 2019;Mitova, 2016).…”

Section: Introductionmentioning

confidence: 99%

Monitoring and Analyzing of the Attacks of the Football Team

Kostiukevych

Shchepotina

Vozniuk

2020

The article describes a methodological approach to monitoring and analyzing attacks of a highly qualified football team. The aim of the research is to develop a methodology for monitoring and analyzing attacks of highly qualified football teams, taking into account various models of the game tactics. Material and methodology. The competitive activity of the national football teams at the 2018 World Cup was studied. Research methodology: analysis and generalization of the literature sources, lesson observation, video analysis of competitive activities, methods of mathematical statistics. Results. A protocol for registration attacks of the football team has been developed. The estimated scale of penetrating attacks and playing off of standard positions of the football team is identified. A different correlation of positional and fast attacks of national football teams, which used different tactical models of the game, has been established. In one half: for the tactical model "A", positional attacks were 32.3±4.35 (61.8%), fast attacks – 20.0±1.78 (38.2%); for the tactical model "B" – positional attacks – 25.2±4.32 (52.7%), fast attacks – 22.6±4.32 (47.3%); for the tactical model "C" – positional attacks – 32.5±3.49 (67.7%), fast attacks – 15.5±3.96 (32.3%); for the tactical model "D" – positional attacks – 19.2±2.87 (41.9%), fast attacks – 26.6±2.87 (58.1%). At the 2018 world Cup, out of 169 goals, 111 (65.4%) were scored as a result of completing positional attacks, 35 (20.7%) – after playing off of the standard positions, and 23 (13.9%) – after implementing penalty kicks. Conclusions. Monitoring and analyzing the attacks of a football team allows managing persistently the competitive activities of football players both at the operational level during a single game and at the current level during a competitive tournament.

Research of Training Loads of Basketball Players

Koryahin

Блавт

Prystynskyi

et al. 2021

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The study objective is to identify physiological indicators for the systematization of basketball players’ special exercises and limit values of physiological indicators with sufficient “distinctive power” in each of the allocated training load ranges. Materials and methods. The study used empirical methods of measuring heart rate during competitions, pulmonary ventilation values, О2 consumption during physical work, О2-debt, “excess” CО2 emissions and individual pulse rates, methods of mathematical statistics. Results. Relationships between the level of physical activity and physiological shifts in the body of basketball players have been established. It is revealed that indicators of pulmonary ventilation can be used to control the training effect of aerobic exercise. Exercises of anaerobic glycolytic orientation have been shown to have the most pronounced effect on the body of basketball players. There are certain mean and limit values for different physiological parameters, characteristic of different ranges of training loads. Conclusions. It is established that in assessing the urgent training effect of special exercises of basketball players, different physiological indicators have different “distinguishing power”. Based on the results of the study, it is proposed to systematize the special exercises of basketball players according to the ranges of training loads by the nature of their training effect.