Swimetrica is an independent research institute for competitive swimming. It makes race results comparable across age, sex and pool type, and publishes every estimate with its uncertainty, its method and its date.
Reference
Men's 100 m backstroke — adjusted time, long course (50 m)
Times are adjusted for age, sex category as recorded by the supplying federation, and pool length, then placed on one scale. The rank order is the order of the estimates; it is not the order of the swimmers. Where two intervals overlap, the ordering between them is not supported at the 95% level, and the table says so in four places at once.
| Rank | Swimmer | Fed. | Adjusted time (s) | 95% interval (s) | 95% interval, common scale 51.40–53.60 s | Races |
|---|---|---|---|---|---|---|
| 1 rank 1, distinguishable from every other row at the 95% level | Thomas Ceccon | ITA | 51.60 | [51.49–51.71] | 14 | |
| 2 rank 2, statistically indistinguishable from the other rows in this group at the 95% level | Hunter Armstrong | USA | 51.98 | [51.80–52.16] | 11 | |
| 3 rank 3, statistically indistinguishable from the other rows in this group at the 95% level | 徐嘉余 Xu Jiayu | CHN | 52.04 | [51.86–52.22] | 9 | |
| 4 rank 4, statistically indistinguishable from the other rows in this group at the 95% level | Apostolos Christou | GRE | 52.11 | [51.90–52.32] | 8 | |
| 5 rank 5, distinguishable from every other row at the 95% level | Ryan Murphy | USA | 52.44 | [52.29–52.59] | 12 | |
| 6 rank 6, statistically indistinguishable from the other rows in this group at the 95% level | Pieter Coetze | RSA | 52.71 | [52.50–52.92] | 7 | |
| 7 rank 7, statistically indistinguishable from the other rows in this group at the 95% level | Ksawery Masiuk | POL | 52.80 | [52.55–53.05] | 6 | |
| 8 rank 8, distinguishable from every other row at the 95% level | Yohann Ndoye-Brouard | FRA | 53.02 | [52.84–53.20] | 10 | |
| 9 rank 9, distinguishable from every other row at the 95% level | Miron Lifintsev | NEU | 53.24 | [52.99–53.49] | 5 | |
| — excluded from the ranking: not enough races | Kacper Stokowski | POL | not enough races | not enough races | not enough races | 4 |
- Adjusted for
- Age, sex category as recorded by the supplying federation, and pool length.
- Model
- the age–sex–pool adjustment v3.0
- Computed
- 2026-08-20
- Window
- 2024-09-01 to 2026-08-15, long course (50 m) only
- Population
- 10 swimmers of 1 204 in the window, 31 federations
- Excluded
- Swimmers with fewer than five races in the window appear in this table with the reason marked in place of an estimate.
How this site is organised
Rankings are recomputed continuously — adjusted times and estimates for swimmers, clubs and coaches, each dated to when it was last computed. Follow a row: Thomas Ceccon and Aniene Roma are worked reference pages showing what a ranking row expands into.
Research is dated and permanent — articles that test one training claim against the record and report the result regardless of which way it points.
Methods describe how every number on this site is computed, including where each method is known to be weak.
New to the interval? Read a single estimate, worked through — what “adjusted” means, what the interval is compatible with, and what it does not tell you.
Research
Testing training theories against the data
- 20 August 2026 · Finding
Does early specialisation predict senior performance?
A widely repeated coaching claim is that swimmers who narrow to one stroke before 14 reach higher senior peaks. Tested against 1 204 careers, the 95% interval spans −0.21 s to 0.39 s — wide enough to include both a real benefit and a real cost.
- 14 August 2026 · Finding
Does a block of altitude training precede faster 100 m sprint times?
A cohort comparison of 1 839 matched swimmer-seasons, 2019–2026. Before matching, seasons with an altitude block improved 0.21 s more than seasons without one. After matching on prior improvement rate, age, event, sex category and programme, the estimated difference is −0.03 s, 95% interval −0.11 to +0.05 — which includes zero.
- 2 June 2026 · Finding
Does an estimated club effect persist after a head-coach change?
Across 214 programmes in 19 federations, the estimated club component at 24 months after a head-coach change is between 0.31 and 0.68 of its value before the change, 95% interval, coach effect estimator v1.4.