A Study of CBA League Team’s Winning Probability Based on “Grey Prediction”

Select Volume / Issue:

• Volume 8,Issue 3,May 2020

Year:

2020

Type of Publication:

Article

Keywords:

CBA League Team, Grey Prediction Model, Optimization, Normal Distribution, Win Probability

Authors:

Ning Kang; Hui Xu

Journal:

IJISM

Volume:

8

Number:

3

Pages:

124-129

Month:

May

ISSN:

2347-9051

Abstract:

Currently, the Chinese men's basketball league (CBA) is the highest level basketball league in China. In order to study the probability of each team winning the championship and its ranking, this paper uses the grey prediction model and the normal distribution model to analyze the data, and further uses the MATLAB software to calculate the probability of each team winning the championship. According to the data, among the 14 teams, the highest probability of winning the championship is 84.03%, which is N team. The team with the lowest probability of winning the championship is 19.00%, which is team A. Thus it can be seen that there is still a certain gap between the level of each team, but there is a corresponding space for progress, we can work together to promote the new development of China's sports development.

Full text: IJISM_901_FINAL.pdf [Bibtex]