Analysis of technical statistical indexes of college tennis players under the win-lose regression function equation

In order to study whether the athletes' special physical fitness and competition load reflect the inherent attributes of sports, this paper puts forward the research on the characteristics of sports, special physical fitness and competition load, and takes the college tennis players in a provin...

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Main Authors: Meng Ming, Lou Yulan, Zhang Hongjie
Format: Article
Language:English
Published: Sciendo 2023-01-01
Series:Applied Mathematics and Nonlinear Sciences
Subjects:
Online Access:https://doi.org/10.2478/amns.2022.2.0155
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author Meng Ming
Lou Yulan
Zhang Hongjie
author_facet Meng Ming
Lou Yulan
Zhang Hongjie
author_sort Meng Ming
collection DOAJ
description In order to study whether the athletes' special physical fitness and competition load reflect the inherent attributes of sports, this paper puts forward the research on the characteristics of sports, special physical fitness and competition load, and takes the college tennis players in a province as the object. Using the methods of literature, video analysis, experiment, investigation and mathematical statistics, this paper discusses the basic connotation of special physical fitness and competition load, and preliminarily establishes the evaluation index system of special physical fitness and competition load. This paper objectively evaluates the special physical fitness and competition load level of college tennis players in Jiangsu Province, provides the basis for the training and competition of college tennis players, and has certain value and significance for enriching and expanding the tennis training theory. The main conclusions are as follows: calculated from the experimental results, the blood lactic acid level of athletes from the beginning of the competition to the end of the competition is 4.77 + 1.62 mmol / L for men and 4.11 + 2.13 mmol / L for women, which is 2-3 times that of quiet. The change of blood lactic acid is related to the energy system used during exercise, and also reflects the metabolic rate of muscle fibers.
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spelling doaj.art-bbea4f191d62401692601c38e20821d62023-09-11T07:01:09ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562023-01-01811663167410.2478/amns.2022.2.0155Analysis of technical statistical indexes of college tennis players under the win-lose regression function equationMeng Ming0Lou Yulan1Zhang Hongjie21Department of Physical Education, Qingdao University of Technology, Shandong, 266525, China2Qingdao Chengyang Second Experimental Primary School, Qingdao, Shandong, 266109, China3Qingdao Chengyang No.1 Senior Middle School, Qingdao, 266109, ChinaIn order to study whether the athletes' special physical fitness and competition load reflect the inherent attributes of sports, this paper puts forward the research on the characteristics of sports, special physical fitness and competition load, and takes the college tennis players in a province as the object. Using the methods of literature, video analysis, experiment, investigation and mathematical statistics, this paper discusses the basic connotation of special physical fitness and competition load, and preliminarily establishes the evaluation index system of special physical fitness and competition load. This paper objectively evaluates the special physical fitness and competition load level of college tennis players in Jiangsu Province, provides the basis for the training and competition of college tennis players, and has certain value and significance for enriching and expanding the tennis training theory. The main conclusions are as follows: calculated from the experimental results, the blood lactic acid level of athletes from the beginning of the competition to the end of the competition is 4.77 + 1.62 mmol / L for men and 4.11 + 2.13 mmol / L for women, which is 2-3 times that of quiet. The change of blood lactic acid is related to the energy system used during exercise, and also reflects the metabolic rate of muscle fibers.https://doi.org/10.2478/amns.2022.2.0155regression function equationcolleges and universitiestennis playerstatistical indicators03d20
spellingShingle Meng Ming
Lou Yulan
Zhang Hongjie
Analysis of technical statistical indexes of college tennis players under the win-lose regression function equation
Applied Mathematics and Nonlinear Sciences
regression function equation
colleges and universities
tennis player
statistical indicators
03d20
title Analysis of technical statistical indexes of college tennis players under the win-lose regression function equation
title_full Analysis of technical statistical indexes of college tennis players under the win-lose regression function equation
title_fullStr Analysis of technical statistical indexes of college tennis players under the win-lose regression function equation
title_full_unstemmed Analysis of technical statistical indexes of college tennis players under the win-lose regression function equation
title_short Analysis of technical statistical indexes of college tennis players under the win-lose regression function equation
title_sort analysis of technical statistical indexes of college tennis players under the win lose regression function equation
topic regression function equation
colleges and universities
tennis player
statistical indicators
03d20
url https://doi.org/10.2478/amns.2022.2.0155
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AT louyulan analysisoftechnicalstatisticalindexesofcollegetennisplayersunderthewinloseregressionfunctionequation
AT zhanghongjie analysisoftechnicalstatisticalindexesofcollegetennisplayersunderthewinloseregressionfunctionequation