Thomas Ceccon

This page is a design specimen. Every figure below is illustrative sample data. Nothing here has been computed from race results and nothing here is published by Swimetrica. Thomas Ceccon and Aniene Roma are real; the numbers attached to them are not.

Adjusted time, men’s 100 m backstroke, long course (50 m)

95% interval · the age–sex–pool adjustment v3.0 · computed 2026-08-20 · 14 races, 2024-09-01 to 2026-08-15

The “position in the window” figure carries no interval because it is a count, not a model output. It is not the same claim as a percentile: two of the ten swimmers on the full ranking sit inside an indistinguishability group with Ceccon’s neighbours, which the ranking page states and this summary does not repeat.

Development curve

The development curve for the men’s 100 m backstroke, 2009–2026 cohort, describes how swimmers of Ceccon’s age and event have historically improved — a spread, not a path. At age 25, Ceccon sits near the wide end of that band: the curve is fitted on 118 402 swimmer-seasons across the full age range, and ages 24 and over are one of the two edges where fewer swimmers contribute, so the band is wider there than in the middle of the fitted range (method: where it is weak). Ceccon’s own adjusted time is narrow for a different reason: it is built from his own 14 races in the window, not from the cohort curve’s coverage at his age. The curve does not extend forward past his most recent race — it describes the cohort’s history, and this site does not draw it as a forecast for a named swimmer (method: development curve model v2.1).

Development under club and coach

Ceccon’s programme of record in the window is Aniene Roma. The coach effect estimator looks at how much of his season-to-season change goes beyond what the development curve already expects at his age — the leftover part associated with the programme. It’s an association inside a fitted model, not a cause.

95% interval · coach effect estimator v1.4 · computed 2026-08-20 · programme: Aniene Roma, 44 swimmer-seasons in the fit

Method for the coach effect estimator v1.4

Races in the window

A recorded time is a measurement and carries no interval; the adjusted time above is a model output built from all 14 of these, not any single one.

Method

Every figure above links to its own method. How the intervals are calibrated applies to all three models used on this page. Corrections affecting this page: none since 2026-08-20.