Analysis of Functional Abilities of Professional Basketball Players of Different Levels of Competition Using Omnia Software

Keywords:
Software, Sports Data, Functional Capacity, Professional Athletes, Basketball

Abstract:
The aim of this paper is to use OMNIA software to compare the functional characteristics of senior basketball players at different competitive levels. OMNIA is the software platform developed by COSMED to help sports scientists, clinicians, researchers, and health professionals provide the highest standard of data management. An experimental study was conducted on 87 professional basketball players. They were classified into three categories of players of the competitive level in which they perform. The highest rank of the competition is the Euroleague (n=30). The second rank of the competition is the ABA league (n=30), and the third rank of the competition is the Serbian KLS league (n=27). A conveyor belt (HP-COSMOS®) was used to implement CPET, and VO2max as a measure of aerobic capacity was determined using the Quark CPET system (Cosmed®). A statistically significant difference was found in functional capacity between the highest and third ranks of competition. In today's modern basketball, the success of an individual's playing depends on many factors that act synergistically. Morphological and functional abilities are only one part of the equation that can be the starting point for selection but not the final determinant of successful basketball. There are many other factors to consider

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T. Stojmenović, D. Stojmenovič, “Analysis of Functional Abilities of Professional Basketball Players of Different Levels of Competition Using Omnia Software,” in Sinteza 2024 - International Scientific Conference on Information Technology, Computer Science, and Data Science, Belgrade, Singidunum University, Serbia, 2024, pp. 364-369. doi:10.15308/Sinteza-2024-364-369

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Stojmenović, T., Stojmenovič, D. (2024). Analysis of Functional Abilities of Professional Basketball Players of Different Levels of Competition Using Omnia Software. Paper presented at Sinteza 2024 - International Scientific Conference on Information Technology, Computer Science, and Data Science. doi:10.15308/Sinteza-2024-364-369

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