<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</abstract>

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.

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

Applied Mathematics and Nonlinear Sciences

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

In order to study whether the athletes' special physical fitness and competition load reflect the inherent attributes of sports, this paper puts forward the...

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

Online veröffentlicht: 15. Juli 2022

Seitenbereich: 1663 - 1674

Eingereicht: 17. Apr. 2022

Akzeptiert: 13. Juni 2022

DOI: https://doi.org/10.2478/amns.2022.2.0155

Schlüsselwörter
Regression function equation, Colleges and universities, Tennis player, Statistical indicators

© 2023 Ming Meng et al., published by Sciendo

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

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

Online veröffentlicht: 15. Juli 2022

Seitenbereich: 1663 - 1674

Eingereicht: 17. Apr. 2022

Akzeptiert: 13. Juni 2022

DOI: https://doi.org/10.2478/amns.2022.2.0155

SchlüsselwörterRegression function equation, Colleges and universities, Tennis player, Statistical indicators

© 2023 Ming Meng et al., published by Sciendo

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

Schlüsselwörter
Regression function equation, Colleges and universities, Tennis player, Statistical indicators