The Load Management Across Sports and a Sub-analysis

DOI

10.2991/978-2-38476-062-6_29How to use a DOI?

Keywords

Load management; T-test; ANOVA-test

Abstract

Load management is a skill that an athlete needs to have during a long period of exercise, which has a decisive impact on the recovery of the athlete’s body. Each athlete gives adequate time for rest, but does this differ between different types of athletes, or does load management differ between players in the same sport but in different positions? Therefore, the purpose of our current study was to use data analysis to determine whether basketball and hockey players’ playing time was affected by various factors throughout the season. The data were compiled, averaged, varied, and then compared with different algorithms, such as the T-test and the ANOVA-test, to determine if the physical load was similar across sports and if the players at different positions had different playing time data.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Junzhe Zhang
AU  - Liwei Zhang
PY  - 2023
DA  - 2023/07/11
TI  - The Load Management Across Sports and a Sub-analysis
BT  - Proceedings of the 2023 2nd International Conference on Social Sciences and Humanities and Arts (SSHA 2023)
PB  - Atlantis Press
SP  - 228
EP  - 238
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-062-6_29
DO  - 10.2991/978-2-38476-062-6_29
ID  - Zhang2023
ER  -