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Perspective

Precision Sports Science: What Is Next for Data Analytics for Athlete Performance and Well-Being Optimization?

1
Centre for Sport Science and University Sports, University of Vienna, 1150 Vienna, Austria
2
STEM College, RMIT University, Melbourne, VIC 3000, Australia
*
Author to whom correspondence should be addressed.
Appl. Sci. 2024, 14(8), 3361; https://doi.org/10.3390/app14083361
Submission received: 15 March 2024 / Revised: 11 April 2024 / Accepted: 11 April 2024 / Published: 16 April 2024
(This article belongs to the Special Issue Analytics in Sports Sciences: State of the Art and Future Directions)

Abstract

In elite sports, athletic excellence demands meticulous performance preparation and a sound health status. This paper overviews the current propositions and applications of pervasive computing and data analytics and our vision on how they should be used in future frameworks to contribute to the optimal balance of athletes’ performance and health requirements. Two main areas will be discussed. The first area is Sports Performance Optimization, in which we consider interesting recent advancements in data analytics for performance improvement, equipment design, and team member recruitment and selection. We will also briefly discuss how the betting industry has been relaying and developing sports analytics. The second area is Athlete’s Wellness and Wellbeing, which will discuss how wearables and data analytics have been used to assess physical activity and sedentary behavior profiles, sleep and circadian rhythm, nutrition and eating behavior, menstrual cycles, and training/performance readiness. In the final part of this paper, we argue that a critical issue for managers to enhance their decision making is the standardization of acquired information and decision-making processes, while introducing an adaptable, personalized approach. Thus, we present and discuss new theoretical and practical approaches that could potentially address this problem and identify precision medicine as a recommended methodology. This conceptualization involves the integration of pervasive computing and data analytics by employing predictive models that are constantly updated with the outcomes from monitoring tools and athletes’ feedback interventions. This framework has the potential to revolutionize how athletes’ performance and well-being are monitored, assessed, and optimized, contributing to a new era of precision in sports science and medicine.
Keywords: data analytics; artificial intelligence; ubiquitous computing; wearables; sport science; athlete support data analytics; artificial intelligence; ubiquitous computing; wearables; sport science; athlete support

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MDPI and ACS Style

Exel, J.; Dabnichki, P. Precision Sports Science: What Is Next for Data Analytics for Athlete Performance and Well-Being Optimization? Appl. Sci. 2024, 14, 3361. https://doi.org/10.3390/app14083361

AMA Style

Exel J, Dabnichki P. Precision Sports Science: What Is Next for Data Analytics for Athlete Performance and Well-Being Optimization? Applied Sciences. 2024; 14(8):3361. https://doi.org/10.3390/app14083361

Chicago/Turabian Style

Exel, Juliana, and Peter Dabnichki. 2024. "Precision Sports Science: What Is Next for Data Analytics for Athlete Performance and Well-Being Optimization?" Applied Sciences 14, no. 8: 3361. https://doi.org/10.3390/app14083361

APA Style

Exel, J., & Dabnichki, P. (2024). Precision Sports Science: What Is Next for Data Analytics for Athlete Performance and Well-Being Optimization? Applied Sciences, 14(8), 3361. https://doi.org/10.3390/app14083361

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