Research on quantitative assessment model and application strategy of volleyball players’ physical training effect

In this paper, for the quantitative assessment of volleyball players’ physical training effect, a physical training effect assessment model based on Markov model is proposed. In volleyball, lower limb strength and explosive force training are combined with a big data sampling analysis method to establish a mechanical parameter analysis model for physical training. The mechanical parameters of physical training are processed by big data fusion to construct the distribution model of moment of inertia. Fuzzy statistical analysis and quantitative game methods are used to reconstruct the distribution of mechanical characteristics. Empirical analysis shows that the average similarity value of the Markov physical training effect assessment model is 98.83%, while the traditional method is only 84.34%. The total relevance and reliability coefficient of the assessment model in this paper belongs to class I. The assessment model of this paper contributes more to the lower limb strength training effect of volleyball players, which is better than the traditional method. The method of this paper can effectively quantitatively assess the volleyball doubles explosive strength physical training.