基于大数据分析的WCBA联赛比赛规律探析

Analysis of WCBA league game rules based on big data

本研究以WCBA联赛2013-2014赛季、2014-2015赛季的305场比赛为研究对象,通过K-means聚类将比赛划分为均衡比赛和失衡比赛,并运用判别分析对各类型比赛中技术指标与比赛结果进行函数创建。结果显示:在WCBA联赛中,总比赛的判定结果为2分球命中率、防守篮板、助攻、2分球投篮数、盖帽;在均衡比赛中,防守篮板、2分球命中率为区分比赛胜负的关键指标;在失衡比赛中,影响比赛结果的关键技术指标为2分球命中率和助攻。通过创建线性回归方程对2分球命中率与得分的相关性进行纵向对比后发现,2分球命中率与得分的相关系数排序依次为:总比赛>失衡比赛>均衡比赛。

This study took 305 games of WCBA league in 2013-2014 and 2014-2015 as the object of study. K-means clustering divided the games into balanced and unbalanced, and used discriminant analysis to classify the types of games and to explore and determine the key technical indicators that determine the winner and loser in each type of games. The results show that in WCBA, the judgment result of the overall game is 2-point percentage, defensive rebounds, assist, 2-point shooting and block. In the balanced game, the decision result is defensive rebound, 2-point shooting;In unbalance games, the key technical indicators that affect the game outcome are 2-point percentage and assists. After the linear regression equation was created for the 2- point percentage and the score, it was found that the correlation coefficient of the 2-point shooting and the score in each type of game was:all game> unbalanced game > balanced game.