Evolution of striking dominance in Ultimate Fighting Championship: A cross-temporal analysis of factors associated with victory
This study examined the evolution of action frequencies associated with victory in UFC bouts across three distinct eras (2003–2004, 2013–2014, and 2023–2024). A total of 1722 fights were analyzed: Early Era (2003–2004; n = 77), Transition Era (2013–2014; n = 813), and Modern Era (2023–2024; n = 832). Action frequencies were recorded for six categories. Significant Strikes showed the largest temporal increase, rising by 125% among winners and by 225% among losers between the Early and Modern Eras. Generalized linear mixed models identified Significant Strikes as the strongest within-bout predictor of victory, followed by Total Strikes, whereas knockdowns showed no significant within-bout association. Logistic regression identified knockdowns as the strongest marginal correlate (OR = 2.48). A descriptive hierarchical ranking placed Knockdowns first, followed by Total Strikes, Significant Strikes, and Takedowns. Takedowns demonstrated declining importance, with winner–loser differences decreasing by 23% from the Early to the Modern Era. Submission Attempts showed modest importance (12.8%), whereas Sweeps remained negligible (0.4%). These findings suggest substantial changes in UFC fighting strategy, with an increased emphasis on striking-based actions associated with victory. Nevertheless, grappling-related actions collectively accounted for a meaningful proportion of the combined importance ranking, indicating that modern MMA reflects an integration of striking and grappling rather than a simple replacement of one with the other. Although striking proficiency has become increasingly important, defensive grappling skills remain a baseline requirement.
Authors
- Ciro José Brito (ORCID: https://orcid.org/0000-0002-9678-1977)
- Bianca Miarka (ORCID: https://orcid.org/0000-0002-7513-7605)
- João Paulo Nogueira da Rocha Santos
- Otávio de Tolêdo Nóbrega (ORCID: https://orcid.org/0000-0003-1775-7176)
- N. Almeida (ORCID: https://orcid.org/0000-0001-9454-7768)
- Diego Valenzuela Pérez
- Ignacio Roa-Gamboa
- Lindsei Brabec Mota Barreto
- Esteban Aedo-Muñoz
- Dangelo Salomão Augusto
Institutions
- Universidade Federal de Juiz de Fora (BR)
- Universidad de Santiago de Chile (CL)
- Universidade Federal do Rio de Janeiro (BR)
- Universidade de Brasília (BR)
- Universidade Federal da Grande Dourados (BR)
- Universidad de Los Andes, Chile (CL)
- University of the Americas (CL)
Publication Details
- Journal
- Human Movement Science
- Published
- 2026-09-10
- DOI
- https://doi.org/10.1016/j.humov.2026.103541
- Primary Topic
- Artificial Intelligence in Games
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
- Universidade Federal de Juiz de Fora