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28 March 2023 Analysis on the application of data volley computer statistical data analysis system in volleyball competition: a case study of 2020-2021 Chinese women's volleyball super league
Chenxi Liu, Yi Ding, Jun Wang
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Proceedings Volume 12597, Second International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2022); 125971Y (2023) https://doi.org/10.1117/12.2671938
Event: Second International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2022), 2022, Nanjing, China
Abstract
With the application of modern information technology in volleyball games, the “rules” of volleyball games can now be reflected as quickly and accurately. Statistics have gradually become an important source for understanding the strengths and weaknesses of an athlete, providing key analytical data for coaches to improve the training and design game plans, for fans to vote for an all-star lineup, and for scientific researchers to carry out related research. By examining the application effect of data volley statistical software in the 2020-2021 Chinese volleyball league, this study seeks to further explore the application value of statistics analysis in volleyball and offer certain reference for sports teams in future volleyball games and in the skill training. data volley statistical software can reflect the technical and tactical features of the team on the court in an accurate and timely fashion and can assist coaches and players in conducting comprehensive analysis of the game.
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Chenxi Liu, Yi Ding, and Jun Wang "Analysis on the application of data volley computer statistical data analysis system in volleyball competition: a case study of 2020-2021 Chinese women's volleyball super league", Proc. SPIE 12597, Second International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2022), 125971Y (28 March 2023); https://doi.org/10.1117/12.2671938
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KEYWORDS
Statistical analysis
Error analysis
Reflection
Analytical research
Data analysis
Education and training
Computing systems
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