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Article

Entropy of Badminton Strike Positions

1
Complex System Group, Universidad Politécnica de Madrid, 28040 Madrid, Spain
2
Department of Social Sciences, Physical Activity, Sport and Leisure, Universidad Politécnica de Madrid, 28031 Madrid, Spain
3
Spanish Badminton Federation, 28040 Madrid, Spain
4
Complex System Group & GISC, Universidad Rey Juan Carlos, 28933 Móstoles, Spain
5
Laboratory of Biological Networks, Center for Biomedical Technology, Universidad Politécnica de Madrid, 28223 Pozuelo de Alarcón, Spain
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Academic Editor: Philip Broadbridge
Entropy 2021, 23(7), 799; https://doi.org/10.3390/e23070799
Received: 13 April 2021 / Revised: 21 June 2021 / Accepted: 21 June 2021 / Published: 23 June 2021
(This article belongs to the Section Multidisciplinary Applications)
The aim of the current study was twofold: (i) to investigate the distribution of the strike positions of badminton players while quantifying the corresponding standard entropy and using an alternative metric (spatial entropy) related to winning and losing points and random positions; and (ii) to evaluate the standard entropy of the receiving positions. With the datasets of 259 badminton matches, we focused on the positions of players’ strokes and the outcome of each point. First, we identified those regions of the court from which hits were most likely to be struck. Second, we computed the standard entropy of stroke positions, and then the spatial entropy, which also considers the order and clustering of the hitting locations in a two-dimensional Euclidean space. Both entropy quantifiers revealed high uncertainty in the striking position; however, specific court locations (i.e., the four corners) are preferred over the rest. When the outcome of each point was taken into account, we observed that the hitting patterns with lower entropy were associated with higher probabilities of winning points. On the contrary, players striking from more random positions were more prone to losing the points. View Full-Text
Keywords: shannon entropy; spatial entropy; racket sports; match analysis; performance shannon entropy; spatial entropy; racket sports; match analysis; performance
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MDPI and ACS Style

Galeano, J.; Gomez, M.-Á.; Rivas, F.; Buldú, J.M. Entropy of Badminton Strike Positions. Entropy 2021, 23, 799. https://doi.org/10.3390/e23070799

AMA Style

Galeano J, Gomez M-Á, Rivas F, Buldú JM. Entropy of Badminton Strike Positions. Entropy. 2021; 23(7):799. https://doi.org/10.3390/e23070799

Chicago/Turabian Style

Galeano, Javier, Miguel-Ángel Gomez, Fernando Rivas, and Javier M. Buldú 2021. "Entropy of Badminton Strike Positions" Entropy 23, no. 7: 799. https://doi.org/10.3390/e23070799

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