Sport, particularly in the realm of professional competition, is a domain of human endeavor that is increasingly dependent on the use of analytical statistical information. Consequently, mathematics and statistics are becoming increasingly crucial elements in sports. Although experts recognize the importance of analytics in women’s basketball, the literature addressing this subject remains limited. The objective of this study is to employ quantitative methodologies to discover prevailing patterns in global women’s basketball representation. The entities examined in this article were the games contested during the 2021 Olympic Games, the 2022 World Cup, and the 2023 continental championships. Two regression models were created for the research, using thirteen standard variables observed in the game. The evaluation of the regression model was conducted using the stepwise regression method, incorporating dimensionality reduction based on the outcomes of factor analysis. Among the 14 models that were observed, 13 of them exhibited strong and moderate linkages, while only 1 displayed weak connections and lacked statistical significance. The primary factors that account for the disparity between winning and losing teams in games are primarily associated with shooting accuracy toward the basket. When examining individual championships, the percentage surpassed 50% in all cases except for AfroBasket. However, when considering the overall results, the significance of shooting rose to 86%. The variable representing offensive rebound efficiency had a significant influence on the outcome, being present in all individual competitions, whereas defensive rebound efficiency was only considered in the overall results.

Basketball is one of the popular sports in the world, and physical performance is becoming increasingly important in basketball as the game evolves. The aim of the study was to investigate the effects of a 3-week modified complex training on athletic performance of women's national basketball players. An experimental study involved the participation of 12 highly trained female basketball players (national team of Bosnia and Herzegovina). Observed variables before and after 3-weeks of modified complex training were 300 yards test, 20-yards test, lane agility and beep test. Means and standard deviations for each of the variables were calculated, and differences pre-to-post performance changes were examined using a paired sample t-test. Three weeks of specific complex training sessions show a statistically significant increase in all tested variables, 300 yards (p≤.001); 20 yards (p≤.001); Lane agility (p≤.001) and beep test (p=.028). It can be concluded that applied complex training program has significantly improved studied parameters of condition preparation of elite female basketball players.

This study aims to ascertain the significance of the basketball game parameters which discriminated between winning and losing teams in matches played. The study sample comprises matches played at the men’s basketball tournament at the XXXII Olympic Games in Tokyo. Four regression models were formed. Due to the size of the sample, the number of explaining variables was reduced using factor analysis, followed by stepwise regression to ascertain the statistical significance of the obtained models summarily, which were then broken down into individual parameters. This study indicates: (1) one of the four set regression models was summarily highly statistically significant; (2) out of the remaining models, two were eliminated due to the presence of multicollinearity, and one model did not exhibit high statistical significance; (3) the final score was most influenced by the variables of two- and three-point shot percentages, number of three-point shots, turnovers, defensive rebounds, and true shooting percentage. The results of the study corroborated the results of other studies which were carried out in recent years, that the game of basketball is trending towards three-point shots and lay-ups, reduction of turnovers when passing, and defensive rebounds have been confirmed to be greatly significant.

The aim of this paper is to review and summarize the theoretical and empirical facts of using the (BMI), (body mass index) in determining the relationship between body constitution and motor skills. Several key circumstances have been identified in which the body mass index can give erroneous information about the actual body composition, and especially about the amount of adipose tissue in the body. Factors such as age, sex, race, health status and muscle mass can influence the connection between(BMI) and body fat. Due to a relatively low coefficient of determination between (BMI)and percentage of body fat, one should be cautious when using (BMI) to evaluate body composition as a predictor of obesity or as a substitution measure in evaluating the influence of body constitution on the efficiency of motor performances. The analysis of the sources indicates that the existence of unexplained facts uses alternative measures of body composition and their limited use in research and direct training practice. Therefore, new concepts and models are necessary in order to explain the influence of body composition on the efficiency of motor performance. Apart from the necessary evaluation of variables of percentages of fatty and muscle tissues, it could be assumed that the application of two component (BMI) = (FFMI+FMI), (Fat Free Mass Index, Fat Mass Index) and/or (MFR) model (Muscle to Fat Ratio) would provide a better comprehension of these relations.

The research included 116 subjects who have declared that they had participated in sports, sport activities and recreation. It is a targeted sample, competent to declare their views on questions of why they practice sports and sport activities and what are the reasons (causes) for young people to quit the sport which they participated in. The results obtained on reasons for participation in sports and sport activities show that good physical shape is the primary reason, followed by health, social interaction, and friendship and making acquaintances, while a sporting career and financial benefit are by far lowest on the scale. When it comes to reasons why young people quit sports and sport activities, the majority quit because of indolence, followed by injuries, social circles, and lack of free time, pressure from overambitious parents, poor attitude of the coach, excessive exertion, and ultimately, lack of talent. When it comes to differences between attitudes on quitting sports between the sexes, occupations, smokers/non-smokers, alcohol consumers/non-consumers, and types of residential areas, the results have shown that neither the subject’s sex nor alcohol consumption have an impact on attitudes on reasons for quitting sports. Some difference was observed in level of education (high school or university student), smoking (smokers or non-smokers), and type of residential area (city, suburbs, countryside).

Evaluation in women's basketball is keeping up with developments in evaluation in men’s basketball, and although the number of studies in women's basketball has seen a positive trend in the past decade, it is still at a low level. This paper observed 38 games and sixteen variables of standard efficiency during the FIBA EuroBasket Women 2019. Two regression models were obtained, a set of relative percentage and relative rating variables, which are used in the NBA league, where the dependent variable was the number of points scored. The obtained results show that in the first model, the difference between winning and losing teams was made by three variables: true shooting percentage, turnover percentage of inefficiency and efficiency percentage of defensive rebounds, which explain 97.3%, while for the second model, the distinguishing variables was offensive efficiency, explaining for 96.1% of the observed phenomenon. There is a continuity of the obtained results with the previous championship, played in 2017. Of all the technical elements of basketball, it is still the shots made, assists and defensive rebounds that have the most significant impact on the final score in European women’s basketball. It can be noted that, unlike with the previous championship, inside play is no longer dominant, but there is a balance between inside and outside play, which has already been established as a developing trend in men’s basketball. The emergence of the offensive efficiency variable indicates that it is becoming significant in top-tier competitions as well but is still a challenge for coaches to grasp the causes of this multicomplex issue based on this indicator.

Measuring the efficiency of athletes during competition has been a subject of interest both for experts and scientists in sports for more than a hundred years. Basketball has recognized in the 1940s how important it is to analyze efficiency indicators because these procedures allow coaches to increase their knowledge. There are two basic methods – objective and subjective – for evaluating the efficiency, or real quality of basketball players. The aim of this research is to establish the level of correlation between these two methods and to identify clusters, i.e. player hierarchy based on the results of both methods of efficiency evaluation. The sample of variables consisted of 12 basketball players who participated in the 2010 FIBA World Championships in Turkey. The subjective evaluation, also called expert evaluation, was performed by coaches of seven national teams that participated in the Championship. The objective evaluation was performed using the EEF efficiency index. The data was processed using z-scoring, the Pearson coefficient, and hierarchical cluster analysis. The Pearson coefficients of linear correlation between the efficiency index and the expert evaluation is r = 0.859 with a statistical significance of p ≤ 0.01. The cluster analysis distinguished two groups of players, which were named quality and super quality. The variance analysis showed that the probability of the clusters being equal is less than p ≤ 0.00. The research has shown that the evaluation by coaches is relevant and is fully consistent with the efficiency index formula. Also, the distinction of two groups of players by clustering is not uncommon in the basketball practice and is linked with efficiency at the given time.

This paper mainly refers to attitudes about the reasons for the avoidance of sports and sports activities of young people who have never been involved in these activities. In this survey involving 226 university and high school students, 110 stated that they had never been involved in sport or any sporting activities. They are surely the most reputed to answer these questions. Of the offered reasons (causes) that are responsible for avoiding and non-participation in sports and sports activities, in the first place is the lack of interest which is stated by about 90% of the respondents. Secondly, the reason why respondents do not deal with sports and sports activities are the obligations at school and at the faculty, and this was confirmed by 85% of respondents. Laziness follows, about this they were very self-critical and sincere, confirming in a percentage of 84.5% that this was one of the reasons for their abstinence from sports and sports activities. Immediately behind laziness are television, there are computers and cell phones with about 80%, and so on. The results showed that male and female, then smokers and non-smokers, do not differ significantly in attitudes about these reasons. It is the same with those who consume, occasionally consume and do not consume alcohol. There is a partial difference between high school students and university students in attitudes to some causes, as well as between those who live in the city, suburban village and village.

Background: Many papers have been published on the topic of basketball players’ performance. Most of them have come from authors covering the field from USA and Europe, whereas the number of papers from the rest of the world, particularly Asia, has so far been small in numbers. Objectives: Evaluate the significance of the observed parameters in relation to the game outcome (winning/losing) at the last continental championship, 2017 FIBA Asia Cup. Methods: The sample of entity consisted of 40 games played at 2017 FIBA Asia Cup. The sample of variables consisted of 13 variables registered in the manner as set out by FIBA regulations and 15 derived (relative) variables. Accordingly, two basic models of regression were formed, i.e. absolute and relative, and they had the number of total points scored as their dependent variable. The correlation between the two models was performed by means of regression and correlation analysis of the two models - stepwise regression. Results: The obtained regression models and partial correlation indicate that winning and losing performance was heavily influenced in the absolute model, by the following: ΔFGM, ΔMFT, and ΔM3, accounting for 95.9% of difference. The second model extracted: ΔFG%, ΔTO%, ΔDR%, ΔPTS3%, and ΔFT%, accounting for 90.7% of difference between winning and losing teams. Conclusions: Considering the significance of shooting and defensive rebounding, basketball coaches have been strongly advised, in this and many previous works, to pay special attention to these segments of the game.

The research papers investigating the game-related parameters and phenomena of women's basketball matches are relatively smaller in size and number than the similar ones treating the same issues in men’s basketball - there has been some changes in that respect in recent years though. This paper’s sample of entity consisted of 40 games and thirteen variables of standard efficiency recorded at FIBA EuroBasket Women 2017 . The research had two basic models of regressions formed, i.e. the absolute and the relative one, each of which had total numbers scored as the dependent variable, and was performed by means of regression and correlation analysis - stepwise regression, as a gradual method of fitting regression models in order to define predictive variables. The obtained regression models and partial correlation indicate that the winning or losing performance was heavily influenced by both field goal efficiency and defensive rebounding, all of which has been corroborated in many other similar pieces of research. Also, the variables as turnovers and personal fouls were extracted as significant in terms of differentiation between the winning and losing team. When we take a closer look and see the observed parameters from the point of view of either First or Final rounds of the competition - since these rounds were played in different formats - it is noticeable that it is becoming more and more evident, of course besides the shot efficiency, the efficiency of free throws and the quality of defense.