Performance Architecture and Competitive Phenotypes in HYROX: A Large-Scale Analysis of Official Race Performances

Previous studies of HYROX have described its physiological demands and pacing, but the organization of race-segment performance and the existence of distinct performance profiles among high-performing athletes remain unclear. This retrospective observational study analyzed official results of 11,592 male HYROX Pro athletes (one performance per athlete; 143 events; 2018–2025). Event-related differences were accounted for by centering race-segment times within each event (venue × year). Segment contributions were quantified using partial correlations controlling for event, part–rest correlations, and an additive decomposition of between-athlete variance. In the fastest within-event quartile (n = 2847), K-means clustering was applied to level-independent residual segment profiles, and exploratory classification trees examined whether these profiles discriminated faster from slower athletes. All segments correlated with total race time (partial r = 0.55–0.78). Running plus Roxzone time and workout-station time each accounted for about half of the between-athlete variance; Wallballs, Sled Pull, and Roxzone were the largest single components, whereas mid-race running segments were most strongly associated with the rest of the race. Two reproducible profiles emerged, characterized by relatively faster workout stations or relatively faster running, with equivalent total times in the primary residual-profile analysis; given their low separation (silhouette = 0.18), they represent positions along a continuum rather than distinct athlete types. In exploratory analyses with training and test data fully separated, profiles discriminated poorly between faster and slower high performers (AUC ≈ 0.54). These findings provide a descriptive basis for Performance Architecture and Competitive Phenotypes in HYROX.