Journal of Chemical and Pharmaceutical Research (ISSN : 0975-7384)

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Original Articles: 2014 Vol: 6 Issue: 3

CBA team comprehensive technical indicator and scoring relational degree research based on SPSS factor analysis

Abstract

Whether one team wins or not can reference team comprehensive quality, including team competition state playing and comprehensive strength. The stronger comprehensive strength is the bigger winning possibility team would have. Similarly, in competition, one team state is better, playing better, it would easier to win the game. Through grey relational degree method, research 2012-2013 seasons CBA17 teams’ front-court rebound, block shot, 3-point, shoot, foul, steal, rebound, assist, fault, total rebounds, free throw 11 technical indicators, implement correlation analysis of 11 factors, eliminate factors that has no big correlation with other each factor, utilize SPSS carrying out factor analysis of remnant influence factors, get internal dependence relationship. Use factor scores that got through calculation to calculate comprehensive scores, the higher score is, the bigger winning possibility in competition would be, it provides references for scientific designing reasonable training.

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