A Research About The Performance Of 2013-2014 China University Basketball Super League

2013-2014 China University Basketball Super League(CUBS) is divided into North and south two division, the division of the 10 university teams. The competition is divided into three stages: The first stage is the regular season, southern District regular season held in University of Electronic Science and technology about 45 games, North of the regular season was held in Liaoning University about 45 games of 18 days. The second stage is the main road play off about 30 games of 7 days. The third stage is the finals about 4 games of 2 days. A total of 124 games in 27 days.As the literature data method, Delphi method, norm comparative law,mathematical statistics for the factors of athletic performance in 20 teams of 2013-2014 China University Basketball Super League(CUBS) to quantitative analysis. Conclusions are as follows:1.Factors influencing athletic performance model with explicit factors and implicit factor, External factors include height, weight, age and height of four factors; Implicit factors include shooting, rebounds, assists, blocks, fast break dunk, steals, mistakes, is a factor of ten, invasion and foul. The positive energy effect of athletic performance has the height, weight, age, height, percentage, rebounds, assists, blocks, fast break dunk, steals, and was invaded in twelve factors; Negative energy rules have mistakes and two sub factors. The positive energy positive effect, negative effect of negative energy.2. The dominant factors affecting the weight for height: weight accounted for 8.48%, accounted for 7.68%, accounted for 5.66%, high touch of age accounted for 8.08%, Implicit factor weight is: hit rate accounted for 8.69%, accounted for 7.47%, accounting for 7.68% of the backboard, fast break dunk accounted for 5.86%, accounted for 6.26%, accounting for 6.46% of the cap assists, steals accounted for 6.67%, accounting for errors(-) 7.88%, occupied 6.06%, accounting for 7.07%(a-) in the athletic performance;3. According to a fixed base of each factor in athletic performance and the factor weight of product, value contribution is the factor in athletic performance, the difference between the scores of each factor score of the positive effect and negative effect factor, is the sports team’s competition level. Athletic performance quantification can directly reflect the level of each sports team of athletic performance, the non qualitative evaluation, quantitative measure of performance of abstract concept form, to the basketball team athletics performance evaluation more clearly, reflect the problems of competitive sports in general.4. According to the calculation formula of the competitive performance of two(P) and the influence factor of the Athletics Performance(N). Factor(H), the largest factor(L), the weight factor(W).N=h/L×WP=N1+N2+N3+N4+N5+N6+N7+N8+N9+N10+N11+N12–N13–N145. 2013-2014 University Basketball Super League(CUBS) 20 team performance ranking: Xiamen University’s athletic performance ranked first, the Guangdong University of Technology team Athletics Performance ranked second, Northeast Normal University team Athletics Performance ranked third, Shanghai Jiao Tong University team Athletics Performance ranked fourth, Huazhong University of Science and Technology team Athletics Performance ranked fifth, University of Electronic Science and technology team Athletics Performance ranked sixth, Xi’an Jiao Tong University team Athletics Performance ranked seventh Liaoning University’s athletic performance, ranked eighth, Central South University team Athletics Performance ranked ninth, Beijing Sport University team Athletics Performance ranked tenth, Nanjing University of Finances and Economics team Athletics Performance ranked eleventh, Wuhan University of Technology team Athletics Performance ranked twelfth, Tianjin University of Technology team Athletics Performance ranked thirteenth, Ningbo University team Athletics Performance ranked fourteenth, Zhengzhou University’s athletic performance ranked fifteenth, Shandong University team Athletics Performance ranked sixteenth, Renmin University of China team Athletics Performance ranked seventeenth, Northeastern University team Athletics Performance ranked eighteenth, Hunan University team Athletics Performance ranked nineteenth, Harbin project Team performance ranked twentieth.6. 2013-2014 University Basketball Super League(CUBS) in the 20 team of athletic performance ranking and ranking games are basically the same, one-way amplitude for an average of 2.6 locations, with competitive performance measure Athletic League 87% accuracy rate.