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Exploring competition constraints at the CrossFit® Games: A systematic characterisation through an ecological
Tiago Puga de Oliveira Luzes1, Miguel António de Almeida Garcia Moreira1, Daniel Filipe de Jesus Carrilho1
1CIPER, SpertLab, Faculty of Human Kinetics, University of Lisbon, Lisbon, Portugal.
This study analyzed CrossFit® tasks using the Matrix of Analysis for Sports Tasks (MAST) framework. Findings reveal a trend towards multidisciplinary events, emphasizing the need for adaptable training strategies in this global sport.
Area of Science:
- Sports Science
- Exercise Physiology
- Biomechanics
Background:
- CrossFit® has transitioned from a fitness program to a global competitive sport.
- A lack of structured task characterization hinders understanding of performance demands and training design.
Purpose of the Study:
- To qualitatively characterize CrossFit® tasks using the Matrix of Analysis for Sports Tasks (MAST) framework.
- To analyze task demands and identify trends in competitive CrossFit®.
Main Methods:
- Applied the MAST framework to analyze 218 individual competitor tasks from the CrossFit® Games (2007-2025).
- Tasks were classified by movement taxonomy (weightlifting, gymnastics, metabolic conditioning), environment, and single/multidisciplinary demands.
Main Results:
- Weightlifting and throwing were most prevalent, while gymnastics showed a recent increase.
- Metabolic conditioning remained consistent but less frequent.
- A significant trend towards multidisciplinary tasks integrating strength, skill, and endurance was observed.
Conclusions:
- The MAST framework offers a flexible tool for analyzing CrossFit® tasks and variability.
- The increasing trend in multidisciplinary tasks necessitates adaptable training strategies for athletes.
- This research supports evidence-based training and performance preparation in competitive CrossFit®.
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