Research On The Key Factors Of Winning Chinese Women Volleyball Super League

Based on the background of Chinese women’s volleyball super league,this study explores the key factors to help the team to win in different situations,so as to reveal the inherent law of high-level women’s volleyball matches,and provide help for relevant practitioners to clarify the training focus and competition law of high-level women ’ s volleyball teams,and provide scientific theoretical basis for relevant teams to formulate training plans and arrange competition tactics.This study selects the technical performance and competition results of the semi-finals and finals of the Chinese Women’s Volleyball Super League from 2018 to2021 as the research object.By using the methods of literature review,video observation and mathematical statistics,the included competitions are divided into equilibrium and non-equilibrium games.Secondly,the differences in the technical performance of the winning and losing teams in the equilibrium and non-equilibrium games are compared and analyzed respectively.Then,the correlation between the technical performance and competition results of the equilibrium and non-equilibrium games is analyzed respectively.Finally,the technical performance and competition results of the equilibrium and non-equilibrium games are analyzed respectively.Through analysis,this study draws the following conclusions:1)The key factors of winning the balanced game are ranked as follows: serve scoring rate > spiking error rate > serve error rate > block scoring rate > spiking scoring rate.2)Build a balanced game typical discriminant function model: Y1 = 0.058 * spiking scoring rate-0.088 * spiking error rate + 0.045 * blocking scoring rate + 0.163 *serving scoring rate-0.108 * serving error rate-1.907.3)Non-equilibrium game winning key factors according to the importance of sorting:spiking scoring rate > receiving rate > block scoring rate > serve scoring rate >receiving error rate > spiking error rate > block error rate > defensive position rate.4)Constructing the typical discriminant function model of non-equilibrium game: Y2= 0.07 * spiking scoring rate-0.04 * spiking error rate + 0.046 * blocking scoring rate-0.015 * blocking error rate + 0.079 * serving scoring rate + 0.05 * receiving position rate-0.072 * receiving error rate + 0.007 * defensive position rate-5.952.