Analysis of the 3X3 Basketball Technique Women Team at the Olympic Games 2022
Abstract
Background and Aim: Basketball competitions were now being statistically analyzed to study the elements that contribute to their success, prepare teams, and understand the strengths and weaknesses of opposing teams for effective training. Data analysis in basketball provides important insights into game-play characteristics, team performance, and competition results. Therefore, the research objectives were to study the 3x3 basketball techniques women's team in the Olympic Games 2022 and to compare the 3x3 basketball techniques team between the winning team with the losing team.
Materials and Methods: This study was a research and development study. Subjects were a purposive sampling of 32 players from eight teams that competed in women's 3x3 basketball at the 32nd Tokyo Olympic Games, such as China, Romania, the Russian Olympic Committee, Italy, France, Japan, the United States of America, and Mongolia. Data were collected and analyzed for the mean and standard deviation of statistical score, team offense, team defense, and technique team. Mean comparisons of statistical score, team offense, and team defense between the winning with losing teams were conducted using an independent t-test. Multiple regression was conducted with the winning team on competition statistics. The significance level was set to 0.05.
Results: The results found that: 1) In the comparison of statistics in basketball competitions, classified according to the results between the winning and losing teams, it was found that PTS, %1PT, and %FT showed significant differences, while other %2PT showed no significant differences. 2) A comparison of group statistics on offense and defense teams, broken down by competitive scores between winning and losing teams, found that all variables did not significantly differ. 3) The results of the multiple regression analysis of statistical values occurring during the competition, when considered against the competition outcomes. It was found that the competition statistical values able to predict the competition outcomes of the winning team consist of the statistics PT1_S, PT2_S, and FT_S.
Conclusion: The statistical values from the competition that can predict the outcomes for the winning team include PT1_S, PT2_S, and FT_S. These values can be used to create a prediction equation based on raw scores: Winning Team = 2.27 + 0.92(PT1_S) + 1.67(PT2_S) + 0.69(FT_S).
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