The Study Of Basketball Match Statistic Method

Basketball statistic is basketball player in the game or evaluation, tactical ability to use one of the most basic evaluation method. For shots, grab rebounds, assists, and it is being violated, mistakes, foul, steals, blocks, fast break, play time statistics, statistics and the result was used to evaluate players, the effect of using a single technology and tactics in the game. In order to analysis and evaluation ability and function of players in the game. Objective to players in the game ability and function of application of the technology and tactics to make evaluation, coaches and players for the future of the training direction to provide the data reference. But this kind of evaluation method cannot objectively reflect the players, the location of the differences between cannot use of players in the game technology and tactics of comprehensive ability and efficiency evaluation. So this article wants to use the analytic hierarchy process (ahp) in management responsibilities of each position and the basketball match and characteristics determine the weight coefficient of the basketball technical statistical indicators. And applied to the new basketball statistic method, in order to solve the insufficient statistical method in the basketball technology, to establish new basketball statistic method, a more objective and comprehensive evaluation of basketball player in the game tactics using comprehensive ability and efficiency. The coach for the future of the material selection and the team in the middle of the training and provide data reference.This study using the method of documentary, expert interview, questionnaire survey method, video observation, mathematical statistics method to the basketball game center player, forward position, central position players, the twelve regular technical statistics index of respectively, calculate and determine the weight coefficient of, finally get the following conclusion:(1) the center position players each regular technical statistics index’s weight coefficient, weight coefficient of the score is 1; Assists the weight coefficient of 0.771; Offensive rebounds weight coefficient is 1.613; Backcourt rebound weight coefficient is 1.497; Tackling the weight coefficient of 0.760; Blocks the weight coefficient of 1.271; Violated the weight coefficient of 1.132; Binary weight coefficient is 0.701; Three points not weighting coefficient is 0.940; Free throws in the weight coefficient of 1.474; Foul weight coefficient is 1.099; The weight of error coefficient of 1.012.(2) the forward position of each regular technical statistics index weight coefficient, weight coefficient of the score is 1; Assists the weight coefficient of 0.462; Offensive rebounds weight coefficient is 0.804; Backcourt rebound weight coefficient is 0.919; Tackling the weight coefficient of 0.466; Blocks the weight coefficient of 0.429; Violated the weight coefficient of 0.811; Binary weight coefficient is 0.575; Three points not weighting coefficient is 0.328; Free throws in the weight coefficient of 0.642; Foul weight coefficient is 0.483; The weight of error coefficient of 0.588.(3) defender weight coefficient of each regular technical statistics index:weight coefficient of the score is 1; Assists the weight coefficient of 1.001; Offensive rebounds weight coefficient is 0.541; Backcourt rebound weight coefficient is 0.737; Tackling the weight coefficient of 0.921; Blocks the weight coefficient of 0.367; Violated the weight is 0.462; Binary weight coefficient is 0.372; Three points not weighting coefficient is 0.559; Free throws in the weight coefficient of 0.679; Foul weight coefficient is 0.478; The weight of error coefficient of 0.642.(4) according to the NBA player efficiency formula of{[score+a* assists offensive rebounds+c +b** backcourt rebound steal++d** e cap+f* violated]-[three points missed a binary+h g ** miss foul penalty miss+k+j**+1* error]}/playing time, calculate the locations of members efficiency ranking with different team coaches according to the players in the game, and subjective judgment of team tactics ability using rankings. Prove that the locations of new technical statistical indexes weight coefficient is correct and effective. Recommendations:(1) the new basketball statistic method can objectively to center team to evaluate the effect of the technique used in the game. Should be in the basketball match the active adoption of this method to evaluate objectively the center team. Eliminate the influence of human factor evaluation.(2) through to the national youth men’s basketball league in the second stage in the first eight players rank verification efficiency, shows that the location of regular technical statistics index weight coefficient is correct and effective. Suggestions in the future in the basketball match of different levels, different gender verification and test again. To determine its feasibility, effectiveness and universality.