아마추어 농구 경기력 패턴을 기반으로 한 경기 승·패 경향성 분석

Abstract

The purpose of this study is to calculate performance indicators by identifying amateur teams" performance improvement, amateur basketball performance, and level of play. to accomplish purpose of this study 395 elementary school games, 261 middle school games, and 319 high school games were collected during the 2019-2020 season, and Logistic regression was conducted to analyze amateur basketball performance patterns and trends. and the significance level(α) was set to 95% and analyzed. IBM SPSS Statistic 25.0 was used for this data analysis. The results of this study are as follows. First, the game factors that positively affect the victory or defeat of amateur basketball games were FG, FT, REB, INT, and BLO in the elementary school, and FG, REB, AST, and INT in the middle and high school. Second, the game factors that acted as factors that stably increased the team"s winning rate were FG, REB, and INT, which were the same factors in both elementary, middle, and high schools. In the case of elementary school, AST factors, which are basketball attack factors, which are evaluated as the main attack factors in adult basketball and factors that measure victory and defeat in games, appeared. In the case of middle and high schools, FT and GD factors were found to wasn"t able to contribute much to the team"s victory in the game. These results suggest that in order to achieve successful results in an amateur basketball game, By increasing the ownership and share of the ball due to the diversification of defense tactics, It is necessary to establish the use, composition, and structure of players according to the operation of the game that can be linked to scoring.