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Article

The Performance Evolution of Match Play Styles in the Spanish Professional Basketball League

1
Facultad de Ciencias de la Actividad Física y del Deporte, Universidad Politécnica de Madrid, 28040 Madrid, Spain
2
Sport and Exercise Science, James Cook University, Townsville 4814, Australia
3
Faculty of Physical Activity and Sport Sciences, University of Leon, 24007 Leon, Spain
4
Division of Sport Science & Physical Education, Tsinghua University, Beijing 100084, China
5
Institute of Sport and Exercise Science, University of Worcester, Worcester WR2 6AJ, UK
*
Author to whom correspondence should be addressed.
Appl. Sci. 2020, 10(20), 7056; https://doi.org/10.3390/app10207056
Received: 7 September 2020 / Revised: 5 October 2020 / Accepted: 8 October 2020 / Published: 11 October 2020
(This article belongs to the Special Issue Computational Intelligence and Data Mining in Sports)
The aim of this study is to analyse the performance evolution of all, and the dominant, team’s performances throughout an eight-season period within the Spanish professional basketball league. Match-related statistics were gathered from all regular season matches (n = 2426) played during the period 2009–2010 to 2016–2017. The non-metric multidimensional scaling model was used to examine the team’s profiles across seasons and for the most successful (playoff) teams. The main results showed that: 3-point field goals made (effect size, d = 0.61; 90% confidence interval, CI = 0.23; 1.37) and missed (d = 0.72; 90% CI = 0.35; 1.46), and assists (d = 1.27; 90% CI = 0.82; 1.86) presented a positive trend with an increased number of actions across the seasons; 2-point field goals made (d = 0.21; 90% CI = −1.25; 2.02) and missed (d = 0.27; 90% CI = −0.52; 0.92) were decreased; free throws made and missed, rebounds, fouls, blocks, steals and turnovers showed a relatively stable performance. The matrix solution (stress = 0.22, rmse (root mean squared error) = 7.9 × 104, maximum residual = 5.8 × 103) indicated minimal season-to-season evolution with the ordination plot and convex hulls overlapping. The two most dominant teams exhibited unique match patterns with the most successful team’s pattern, a potential benchmark for others who exhibited more dynamic evolutions (and less success). The current findings identified the different performances of teams within the Spanish professional basketball league over eight seasons with further statistical modelling of match play performances useful to identify temporal trends and support coaches with training and competition preparations. View Full-Text
Keywords: team sports; performance indicators; long-term trends; performance patterns; match-related statistics; non-metric multidimensional scaling team sports; performance indicators; long-term trends; performance patterns; match-related statistics; non-metric multidimensional scaling
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MDPI and ACS Style

Gómez, M.-Á.; Medina, R.; Leicht, A.S.; Zhang, S.; Vaquera, A. The Performance Evolution of Match Play Styles in the Spanish Professional Basketball League. Appl. Sci. 2020, 10, 7056. https://doi.org/10.3390/app10207056

AMA Style

Gómez M-Á, Medina R, Leicht AS, Zhang S, Vaquera A. The Performance Evolution of Match Play Styles in the Spanish Professional Basketball League. Applied Sciences. 2020; 10(20):7056. https://doi.org/10.3390/app10207056

Chicago/Turabian Style

Gómez, Miguel-Ángel, Ramón Medina, Anthony S. Leicht, Shaoliang Zhang, and Alejandro Vaquera. 2020. "The Performance Evolution of Match Play Styles in the Spanish Professional Basketball League" Applied Sciences 10, no. 20: 7056. https://doi.org/10.3390/app10207056

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