Athlete-Level Dynamics in Elite Swimming Across Nine Global Championships (2016–2025): Age Structure, Podium Tenure, and Competitive Turnover

The elite swimming calendar became substantially denser after 2020. We examined how the individual-event medalist population at the nine global championships of 2016–2025 changed in age structure, podium tenure, medal accumulation, and turnover. All 865 individual-event medals (277 athletes) at three Olympic Games and six World Championships were organized as an athlete-by-edition panel and analyzed with athlete-clustered and wild cluster bootstrap inference, exploratory Bayesian partial pooling, discrete-time hazard models, negative binomial regression, and bootstrap measures of concentration. Mean medalist age ranged from 22.86 to 24.46 years across editions. None of the 34 sex-by-event era contrasts survived false-discovery-rate adjustment; the two with the smallest p-values (men’s 200 m breaststroke, +2.79 years; women’s 400 m individual medley, −5.19 years; both q = 0.062) are exploratory, and both were accompanied by near-complete turnover of the event’s medalists. Median podium tenure was two editions. Each additional year of age at the first observed medal was associated with a higher hazard of a last observed medal (HR 1.106, 95% CI 1.063–1.151) and lower subsequent accumulation (IRR 0.863, 95% CI 0.823–0.904), whereas winning two or more medals at the first observed championship was associated with about half the hazard (HR 0.564, 95% CI 0.364–0.874) and twice the accumulation rate (IRR 2.066, 95% CI 1.410–3.027). The title-defense rate was 58.8% across 2017 → 2019 and 15.4% across the later World Championship transitions (OR 0.128, 95% CI 0.040–0.409), while the Gini coefficient of medal counts ranged from 0.205 to 0.248. Medal concentration remained descriptively similar, while the identities of the winners changed more frequently.

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2026-10-07
DOI
https://doi.org/10.3390/data11100268
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Sports Analytics and Performance
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article

Athlete-Level Dynamics in Elite Swimming Across Nine Global Championships (2016–2025): Age Structure, Podium Tenure, and Competitive Turnover

Jie Gao, Tianyi Gao, Jiayi Lyu, Jiawen Li
Data
Sports Analytics and Performance
article

Athlete-Level Dynamics in Elite Swimming Across Nine Global Championships (2016–2025): Age Structure, Podium Tenure, and Competitive Turnover

Jie Gao, Tianyi Gao, Jiayi Lyu, Jiawen Li
article en

Abstract

The elite swimming calendar became substantially denser after 2020. We examined how the individual-event medalist population at the nine global championships of 2016–2025 changed in age structure, podium tenure, medal accumulation, and turnover. All 865 individual-event medals (277 athletes) at three Olympic Games and six World Championships were organized as an athlete-by-edition panel and analyzed with athlete-clustered and wild cluster bootstrap inference, exploratory Bayesian partial pooling, discrete-time hazard models, negative binomial regression, and bootstrap measures of concentration. Mean medalist age ranged from 22.86 to 24.46 years across editions. None of the 34 sex-by-event era contrasts survived false-discovery-rate adjustment; the two with the smallest p-values (men’s 200 m breaststroke, +2.79 years; women’s 400 m individual medley, −5.19 years; both q = 0.062) are exploratory, and both were accompanied by near-complete turnover of the event’s medalists. Median podium tenure was two editions. Each additional year of age at the first observed medal was associated with a higher hazard of a last observed medal (HR 1.106, 95% CI 1.063–1.151) and lower subsequent accumulation (IRR 0.863, 95% CI 0.823–0.904), whereas winning two or more medals at the first observed championship was associated with about half the hazard (HR 0.564, 95% CI 0.364–0.874) and twice the accumulation rate (IRR 2.066, 95% CI 1.410–3.027). The title-defense rate was 58.8% across 2017 → 2019 and 15.4% across the later World Championship transitions (OR 0.128, 95% CI 0.040–0.409), while the Gini coefficient of medal counts ranged from 0.205 to 0.248. Medal concentration remained descriptively similar, while the identities of the winners changed more frequently.

DataVol. 11(10)
Yale University (US), Beijing Sport University (CN)
Openalex Percentile: Top 8%
Sports Analytics and Performance
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