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Research on the Best Shooting State Based on the “Three Forces” Model

Xuguang Liu1, Ruqing Zhao2, Qifei Chen2, Ming Shi3, Ziling Xing2, Yanan Zhang4,*

1 Department of Physical Education, Nanjing University of Information Science & Technology, Nanjing, 210044, China
2 Changwang School of Honors, Nanjing University of Information Science & Technology, Nanjing, 210044, China
3 School of Automation, Nanjing University of Information Science & Technology, Nanjing, 210044, China
4 Engineering Training Center, Nanjing University of Information Science & Technology, Nanjing, 210044, China

* Corresponding Author: Yanan Zhang. Email: email

Journal on Big Data 2020, 2(2), 85-93. https://doi.org/10.32604/jbd.2020.013845

Abstract

The shooting state during shooting refers to the basketball’s shooting speed, shooting angle and the ball’s rotation speed. The basketball flight path is also related to these factors. In this paper, based on the three forces of Gravity, Air Resistance and Magnus Force, the “Three Forces” model is established, the Kinetic equations are derived, the basketball flight trajectory is solved by simulation, and the best shot state when shooting is obtained through the shooting percentage. Compared with the “Single Force” model that only considers Gravity, the shooting percentage of the “Three Forces” model is higher. The reason is that the Magnus Force generated by considering the basketball rotation speed is considered. Although in the “Three Forces” model, the shot speed is faster and the shot is harder, the backspin will reduce the angle of the shot and achieve the goal of saving effort. By calculating the best shot state and giving the athlete’s usual training state range, you can guide the training, thereby improving the athlete’s shooting percentage during the game.

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Cite This Article

X. Liu, R. Zhao, Q. Chen, M. Shi, Z. Xing et al., "Research on the best shooting state based on the “three forces” model," Journal on Big Data, vol. 2, no.2, pp. 85–93, 2020.



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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