Peak Match Demands in Young Basketball Players: Approach and Applications

Enrique Alonso, Nicolas Miranda, Shaoliang Zhang, Carlos Sosa, Juan Trapero, Jorge Lorenzo and Alberto Lorenzo
Additional contact information
Enrique Alonso: Faculty of Sports Sciences, European University of Madrid, 28670 Villaviciosa de Odón, Spain
Nicolas Miranda: Catapult Sports, Melbourne 3181, Australia
Shaoliang Zhang: Division of Sports Science & Physical Education, Tsinghua University, Beijing 100084, China
Carlos Sosa: Faculty of Physiotherapy, European University of Madrid, 28670 Madrid, Spain
Juan Trapero: Faculty of Sports Sciences, European University of Madrid, 28670 Villaviciosa de Odón, Spain
Jorge Lorenzo: Polytechnic University of Madrid, 28031 Madrid, Spain
Alberto Lorenzo: Polytechnic University of Madrid, 28031 Madrid, Spain

IJERPH, 2020, vol. 17, issue 7, 1-10

Abstract: Background: The aim of this study is to describe the peak match demands and compare them with average demands in basketball players, from an external load point of view, using different time windows. Another objective is to determine whether there are differences between positions and to provide an approach for practical applications. Methods: During this observational study, each player wore a micro technology device. We collected data from 12 male basketball players (mean ± SD: age 17.56 ± 0.67 years, height 196.17 ± 6.71 cm, body mass 90.83 ± 11.16 kg) during eight games. We analyzed intervals for different time windows using rolling averages (ROLL) to determine the peak match demands for Player Load. A separate one-way analysis of variance (ANOVA) was used to identify statistically significant differences between playing positions across different intense periods. Results: Separate one-way ANOVAs revealed statistically significant differences between 1 min, 5 min, 10 min, and full game periods for Player Load, F (3,168) = 231.80, η p 2 = 0.76, large, p < 0.001. It is worth noting that guards produced a statistically significantly higher Player Load in 5 min ( p < 0.01, η p 2 = −0.69, moderate), 10 min ( p < 0.001, η p 2 = −0.90, moderate), and full game ( p < 0.001, η p 2 = −0.96, moderate) periods than forwards. Conclusions: The main finding is that there are significant differences between the most intense moments of a game and the average demands. This means that understanding game demands using averages drastically underestimates the peak demands of the game. This approach helps coaches and fitness coaches to prepare athletes for the most demanding periods of the game and present potential practical applications that could be implemented during training and rehabilitation sessions.

Keywords: basketball; worst case scenario (WCS); most intense passages; most demanding periods; peak demands (PD); performance (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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