Case study · Football academy

Three years at Nea Salamina: what the birth certificate doesn't tell you

360 Ergometric Tests · Data 13 September 2023 – 8 September 2026 · Published with the club's consent; no athlete is identifiable

Between September 2023 and September 2026 we assessed 298 children in the Nea Salamina academy — 868 assessments in total, some children thirteen times over. This time the question isn't how fast a child runs. It's how old their body actually is, and whether that number agrees with the one on their birth certificate.

298athletes
868assessments
3years of data
174with 2+ assessments
Finding

The paperwork decides which question we can answer

Biological age can be estimated in more than one way. For almost every child we can calculate how close they are to their growth spurt, using only age, height and weight (the Moore 2015 method). For a smaller group, whose parents also gave us their own height, we can go one step further and say whether that child is maturing early, on time, or late compared with other children the same age (Khamis-Roche). The second method needs one extra piece of paper. Most parents don't hand it in.

245 / 284distance from growth spurt only (Moore)
39 / 284full timing — early, on-time or late (Khamis-Roche)

In plain terms: for 86% of the roster we can tell a coach "this child is close to their growth spurt." For the other 14%, because their parents' height is on file, we can also tell the coach "and compared with peers, this child is maturing early." That second sentence is the more useful one for team selection — and it is the one we can say the least often.

Finding

Biological age catches up with the birth certificate — then overtakes it

We compared each child's chronological age against their estimated biological age, grouped by year of age. The gap is large in young children, narrows steadily, crosses zero around age thirteen, and then reverses.

Biological age minus chronological age, by age group
284 athletes aged 5–17, most recent assessment each. Positive = biological age ahead of the birth certificate.
Biological age ahead Biological age behind
5 years oldn = 5
+2.48
6 years oldn = 8
+2.10
7 years oldn = 12
+1.60
8 years oldn = 12
+1.33
9 years oldn = 30
+0.93
10 years oldn = 18
+0.57
11 years oldn = 24
+0.27
12 years oldn = 23
+0.10
13 years oldn = 39
+0.08
14 years oldn = 36
+0.01
15 years oldn = 28
−0.07
16 years oldn = 33
−0.37
17 years oldn = 16
−0.48
Axis extends ±2.5 years either side of zero. Biological age calculated with the Moore (2015) model from age, height and body mass; for 39 athletes with parent-height data, Khamis-Roche was used instead where available.
+2.48 → −0.48

What the number means. At five years old, the model places a child's biological age two and a half years ahead of their birth certificate. By seventeen, it places them half a year behind. In between, the two ages are almost equal, right around thirteen and fourteen.

Caveat

We don't trust this number before age nine

Why the gap is so large in young children. The Moore equation was built and validated around the adolescent growth spurt — roughly ages nine to seventeen. Asking it about a five-year-old means extrapolating well outside the range it was designed for. A 2.5-year gap at that age is almost certainly a limitation of the maths, not a real biological difference.

Where it becomes meaningful. From around age ten, the gap narrows in a way that matches known growth patterns, and it is in this range — approaching and moving through puberty — that the model is doing what it was built to do.

Why we are publishing it anyway. A report that hides its own model's limits is not a report. Coaches of the youngest age groups should read the biological-age figure for their players as directional at best, not as a number to act on.

Finding

78 children are in the window right now

During the growth spurt, bones lengthen faster than muscles and tendons can keep up. Coordination temporarily dips and the risk of overuse injury temporarily rises — not because anything is wrong, but because growth is, for a while, ahead of the body's ability to control it.

Stage of biological maturation — 284 athletes
Each athlete's most recent assessment
42.6%
27.5%
29.9%
Before the spurt — 121 In the spurt (PHV) — 78 Past the spurt — 85
Calculated from age, height and body mass, with the Moore (2015) model. Updates automatically at every new assessment and is available to every coach.

Without assessment, these 78 children just look like players who have stopped improving. With assessment, the coach knows who they are and what they need: adjust the load, don't raise the demands.

Finding

Early, on time, or late — only for the 39 whose parents gave us the extra number

Among the 39 children where we could classify maturity timing against peers, none came out as a late maturer. This is too small a sample to say anything about the club as a whole — but it's worth naming, because early maturers are exactly the children who look "better" at eleven or twelve without being more skilled, and academies worldwide are known to select for exactly that.

Maturity timing vs peers — 39 athletes with parent-height data
Early: significantly ahead of peers · On time: within the expected range · Late: significantly behind peers
5Early
34On time
0Late
Classification requires the athlete's own height plus both parents' height (Khamis-Roche predicted adult height). Only 14% of the roster has this on file.

The practical read: a coach looking at two twelve-year-olds, one visibly bigger and stronger than the other, cannot tell from the eye test alone whether that's more talent or more growth. For 39 of these children, we can now say which one it is. For the other 245, we still can't — not because the method doesn't exist, but because the paperwork isn't in.

What one assessment doesn't show

The crossover between chronological and biological age, the 78 children currently in their growth spurt, and the gap in what we can say about timing: none of this shows up in a single assessment. It took three years, 868 assessments, and comparing each child not just against their own history but against a model of what growth is supposed to look like at their age.

Data from the 360 Ergometric Tests database, 13 September 2023 – 8 September 2026, athletes aged 5–17 with an active roster status. Biological age was calculated with the Moore (2015) model from age, height and body mass; where available, Khamis-Roche (predicted adult height from parent heights) was used to additionally classify maturity timing. Only the most recent assessment per athlete is shown. Published with the consent of the Nea Salamina academy. No individual data is disclosed.

See the same picture for your own academy

It starts with a basic round of assessments at your facilities.

Request a proposal