Analysis of Competitiveness in the NBA Regular Seasons

Research background and hypothesis. Several attempts have been made to understand some modalities of sport from the point of view of complexity. Most of these studies deal with this phenomenon with regard to the mechanics of the game itself (in isolation). Nevertheless, some research has been conduc...

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Main Authors: Yves de Saá Guerra (Author), Juan Manuel Martín González (Author), Nieves Arjonilla López (Author), Samuel Sarmiento Montesdeoca (Author), David Rodríguez Ruiz (Author), Juan Manuel García Manso (Author)
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Published: Lithuanian Sports University, 2018-10-01T00:00:00Z.
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042 |a dc 
100 1 0 |a Yves de Saá Guerra  |e author 
700 1 0 |a Juan Manuel Martín González  |e author 
700 1 0 |a Nieves Arjonilla López  |e author 
700 1 0 |a Samuel Sarmiento Montesdeoca  |e author 
700 1 0 |a David Rodríguez Ruiz  |e author 
700 1 0 |a Juan Manuel García Manso  |e author 
245 0 0 |a Analysis of Competitiveness in the NBA Regular Seasons 
260 |b Lithuanian Sports University,   |c 2018-10-01T00:00:00Z. 
500 |a 10.33607/bjshs.v1i80.335 
500 |a 2351-6496 
500 |a 2538-8347 
520 |a Research background and hypothesis. Several attempts have been made to understand some modalities of sport from the point of view of complexity. Most of these studies deal with this phenomenon with regard to the mechanics of the game itself (in isolation). Nevertheless, some research has been conducted from the perspective of competition between teams. Our hypothesis was that for the study of competitiveness levels in the system of league competition our analysis model (Shannon entropy), is a useful and highly sensitive tool to determine the degree of global competitiveness of a league. Research aim. The aim of our study was to develop a model for the analysis of competitiveness level in team sport competitions based on the uncertainty level that might exist for each confrontation. Research methods. Degree of uncertainty or randomness of the competition was analyzed as a factor of competitiveness. It was calculated on the basis of the Shannon entropy. Research results. We studied 17 NBA regular seasons, which showed a fairly steady entropic tendency. There were seasons less competitive (≤ 0.9800) than the overall average (0.9835), and periods where the competitiveness remained at higher levels (range: 0.9851 to 0.9902). Discussion and conclusions. A league is more competitive when it is more random. Thus, it is harder to predict the fi nal outcome. However, when the competition is less random, the degree of competitiveness will decrease signifi cantly. The NBA is a very competitive league, there is a high degree of uncertainty of knowing the fi nal result. Keywords: complex systems, basketball, entropy, competition, randomness. 
546 |a EN 
690 |a Sports 
690 |a GV557-1198.995 
690 |a Sports medicine 
690 |a RC1200-1245 
655 7 |a article  |2 local 
786 0 |n Baltic Journal of Sport and Health Sciences, Vol 1, Iss 80 (2018) 
787 0 |n https://journals.lsu.lt/baltic-journal-of-sport-health/article/view/335 
787 0 |n https://doaj.org/toc/2351-6496 
787 0 |n https://doaj.org/toc/2538-8347 
856 4 1 |u https://doaj.org/article/919f67d5d23f47e793fe61837e1c6ae6  |z Connect to this object online.