Research on the Construction and Optimization Strategy of Quantitative Assessment Model for Volleyball Players' Physical Training Effect
DOI:
https://doi.org/10.70917/ijcisim-2026-0071Keywords:
Markov model; FMS; volleyball athletes; physical training; evaluation system; personalized trainingAbstract
This article addresses the current lack of accurate and systematic physical assessment methods for volleyball players. A comprehensive assessment method was developed based on Markov models and functional movement screening (FMS). This method quantifies athletes' basic movement abilities through a state transition matrix and seven standardized movement tests. Test results indicate that athletes assessed using this method have shown significant improvements in vertical jump, 30m sprint, and VO2max compared to previous assessments. Additionally, their trunk core stability and body coordination and balance abilities have also improved. Furthermore, after adjustments, the lower limb symmetry training program has been shown to reduce athletes' injury rates. During the study, it was found that with the assistance of this model, changes in athletes' physical fitness can be tracked, providing the basis for developing scientific and systematic training plans. The assessment model proposed in this paper is specifically applicable to volleyball and can serve as a valuable reference for optimizing physical fitness training assessment and scientific systems in other sports. This paper proposes a new approach to scientifically and systematically assess volleyball physical fitness training, thereby optimizing and enhancing the overall competitive ability of volleyball athletes.
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Copyright (c) 2026 Dan Lv, Jiale Qu

This work is licensed under a Creative Commons Attribution 4.0 International License.