Exploring competition constraints at the CrossFit® Games: A systematic characterisation through an ecological dynamics lens.
CrossFit® has evolved from a fitness methodology into a global competitive sport characterised by dynamic tasks, diverse movements, and variable constraints. Despite growing scientific interest, the lack of a structured task characterisation limits understanding of its performance demands and the de...
| Publicado en: | Journal of Sports Sciences Vol. 44; no. 12; pp. 1554 - 1565 |
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| Autores principales: | , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Jun2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=194088333&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 194088333 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02640414 5BV jtl: Journal of Sports Sciences issn: 02640414 maglogo: Y pubinfo: dt: Jun2026 vid: 44 iid: 12 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 194088333 192709127 194088333 194088333 10.1080/02640414.2026.2653304 194088333 ppf: 1554 ppct: 11 formats: tig: atl: Exploring competition constraints at the CrossFit® Games: A systematic characterisation through an ecological dynamics lens. aug: au: de Oliveira Luzes, Tiago Puga de Almeida Garcia Moreira, Miguel António de Jesus Carrilho, Daniel Filipe de Carvalho, Adriano Quintas affil: CIPER, SpertLab, Faculty of Human Kinetics, University of Lisbon, Lisbon, Portugal sug: subj: Athletic Performance Evaluation Sporting Events Athletes Task Performance and Analysis Human Female Male Qualitative Studies Conceptual Framework Data Collection Methods Weight Lifting Throwing Gymnastics Squatting kappa Statistic Data Analysis Software Interrater Reliability Descriptive Statistics Female Male ab: CrossFit® has evolved from a fitness methodology into a global competitive sport characterised by dynamic tasks, diverse movements, and variable constraints. Despite growing scientific interest, the lack of a structured task characterisation limits understanding of its performance demands and the design of representative training strategies. This study applied the Matrix of Analysis for Sports Tasks framework to qualitatively characterise CrossFit® through 218 tasks performed by individual competitors at the CrossFit® Games (2007–2025). Tasks were analysed across three phases: (i) taxonomy, classifying movements within weightlifting and throwing, gymnastics, and metabolic conditioning; (ii) environment description, contextualising competition formats and settings; and (iii) task description, examining single- and multi-disciplinary demands. Results showed that weightlifting and throwing exhibited the highest prevalence, gymnastics increased notably in recent years, and metabolic conditioning remained a consistent but less frequent component. A growing trend towards multidisciplinary tasks highlights the importance of adaptability, requiring integration of strength, skill, and endurance within single events. Although frequent changes in season format and task design pose challenges, the MAST framework provides a flexible, replicable tool to accommodate this variability and support evidence-based training and performance preparation. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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