Two pairs of youth soccer cleats of noticeably different sizes side by side on a pitch touchline, illustrating the relative age effect in youth soccer
Same age group, nearly a year apart in age.

Relative Age Effect in Youth Soccer: Why the Youngest Kids in an Age Group Get Overlooked

Roman PivarnikReviewed by Roman PivarnikUEFA Pro Licence · Technical Director, Slovak FA

The relative age effect in youth soccer is the measurable advantage held by children born early in the registration year — and it is large. In one study of 1,003 academy players at 23 UK professional clubs, 45.0% were born in the first three months of the year and just 9.8% in the last three. The uncomfortable part comes next: when you test those players, the early-born ones are not faster, taller or stronger. They were just older on the day somebody judged them.

It matters more than usual this season, because the American cutoff date just moved — so the birthdays carrying the disadvantage have moved too. Here is what the data shows, why the bias fades at the highest levels, and what you and your club can do about it.

What is the relative age effect in youth soccer?

Youth soccer sorts children into twelve-month registration bands, and in the US that band just changed. From the 2026-27 season, US Youth Soccer, AYSO and US Club Soccer moved to an August 1 to July 31 age group cycle to align players with their school-grade peers, replacing the January-to-December system used since 2017. Worth checking: each federation member sets the rules for the competitions it runs, so your league may differ, and high school soccer has its own eligibility rules.

The structure is unchanged. Under the new cycle a U13 team can hold a child born on August 2nd and one born the following July 30th — nearly a full year apart, at a stage of life where a year is enormous.

The relative age effect (RAE) is the over-representation of the older ones. Researchers split the band into quartiles — Q1 the oldest three months, Q4 the youngest — and count who gets selected. If birth dates were irrelevant, each would hold roughly a quarter of the players. They don't.

One note on the numbers below: these studies ran under calendar-year cutoffs, so their Q1 is January–March. Moving the US cutoff to August moves the labels — the youngest in a US band are now June and July birthdays, not November and December — not the mechanism. Our guide to youth soccer age groups covers the bands themselves; this is about who gets chosen inside them.

How big is the bias, really?

Four studies, four countries, one shape:

StudySampleQ1Q4
Bolckmans et al. (2022), 23 UK pro clubs1,003 players, U9–U1645.0%9.8%
Helsen et al. (2021), 2 Belgian pro clubs302 players, U7–U2141.4%14.9%
Craig et al. (2025), Scottish academy, 10 seasons512 players, U11–U1737.0–42.9%7.1–14.3%
Finnegan et al. (2024), US female club level1,940 players, U13–U1835.6%13.2%

In the Scottish academy, published in PLOS One in 2025, a Q1-born player was 3.2 to 5.2 times more likely to be in the academy than a Q4-born player. Across ten full seasons the authors found no significant change over time, despite the bias being well known throughout. They call the lack of progress "disappointing."

The effect is worst at the youngest ages: in the US female data the U13 club cohort was 39.4% Q1 and 3.5% Q4, an odds ratio of 11.6 — the largest in the study.

Does being born earlier actually make a player better?

This is the part most parents never hear.

The Scottish study tested all 512 players repeatedly on height, body mass, BMI, 5m, 10m and 20m sprints, counter-movement jump and the Yo-Yo intermittent recovery test. Controlling for age group, it found no significant differences across birth quarters in height, weight, BMI, any sprint distance, or the Yo-Yo. The one exception was counter-movement jump, and the authors note that difference "would likely have been physiologically trivial."

In an academy that selected three to five times more Q1 than Q4 players, the Q1 players were not measurably bigger or faster. The selection advantage wasn't tracking a physical advantage at all — it was tracking a judgment made when one child happened to be older.

The mechanism is subjective assessment. Coaches and scouts watch a game and rank what they see, and an extra ten months of growth, coordination and experience reads as talent. Those rankings then decide who gets the better coaching, the harder games and the most minutes — which really does make players better, after the fact. The advantage is manufactured first, then it becomes real.

Why does the bias disappear at the top?

The clearest evidence is a 2024 study in Biology of Sport, co-authored by United States Soccer Federation staff, tracking 3,364 youth female players through the US talent identification pathway in 2021–22.

At club level the RAE was clear: Q1 35.6%, Q4 13.2%. At regional TID Centers, almost identical: Q1 35.3%, Q4 12.8%.

At Youth National Team level it vanished. Among the 233 players selected the spread was Q1 25.8%, Q2 27.0%, Q3 24.0%, Q4 23.2% — essentially the natural birth distribution, with no statistically significant effect. The authors also found a higher share of late-maturing players there than anywhere else in the pathway.

So the bias is strongest where it is least informative — local, subjective, early-years decisions — and absent where selection has had the most time and best information. Late-born players who stay in are not worse; they are filtered harder on the way up. Craig and colleagues point to an "underdog hypothesis" in the literature: players born later in the band may go on to have more successful careers, having developed against bigger, older opponents.

Relative age and maturity are not the same thing

These get conflated constantly, and separating them matters.

  • Relative age is a calendar fact: a player born in the first month of the band is older than one born in the last, every year, permanently.
  • Biological maturity is a growth fact, and wildly variable. Peak height velocity — the fastest stretch of the growth spurt — spans roughly ages 9.7 to 15.2 in male academy players, per research summarized in a 2023 PLOS One study of academy practice.

A five-year spread. Two 13-year-olds on the same team can be years apart biologically regardless of birth month — so a late birthday and a late growth spurt are separate disadvantages, carried together or apart.

The response professional academies have adopted is bio-banding: grouping players by maturity rather than birth date for some training and games. In that 2023 study, 80% of surveyed academy practitioners had used it, and 92% judged the benefit greatest for late-maturing players. The barriers they named were human, not technical: coach buy-in (36%), poor understanding of the method (32%), and the stigma of appearing to "play down" (32%).

What can parents actually do about it?

None of this is a reason to tell a child the system is rigged. It is a reason to read setbacks accurately.

  • Work out your child's quartile under the cutoff your league actually uses. If they land in the last three months of the band — June or July under the new August cycle — they are competing against children up to eleven months older. That is context for a tryout result, not an excuse.
  • Judge progress against their own last six months, not the biggest kid on the team — the core logic of an individual development plan.
  • Treat playing down as neutral, not a demotion — for a young or late-maturing child it can mean more touches and more decisions. Our guide to playing up an age group works in both directions.
  • Protect the habit after a bad tryout. Deselection is a main route out of the sport, and the risk is highest for exactly these players. If quitting is in the air, here's what tends to help.

The common thread is touches on the ball, which nobody can take away by not picking your child. FlickTec's daily guided sessions, built on a methodology from Coach Roman Pivarnik (UEFA Pro Licence), need only a ball and a small space.

What good clubs do

The Scottish researchers list fixes that cost almost nothing: numbering trial bibs by age so evaluators see relative age as they watch, letting players move up or down a group, keeping the best two or three from each birth quartile rather than the best overall, and running a maturity assessment before releasing anyone.

Note too what the cutoff change does and does not do. Moving to August 1 aligns teams with school grades and strands fewer players between bands — a real gain. It does not remove the relative age effect, because a twelve-month band always has an oldest quartile and a youngest. It hands the disadvantage to different birthdays, and some families will find their child has gone from oldest in the group to one of the youngest.

If your club does none of the above it isn't unusual — ten seasons of Scottish data showed no improvement at all. It is also, on the same evidence, leaving good players on the table.

Frequently Asked Questions

What is the relative age effect in youth soccer?

It's the over-representation of players born early in the registration year. Youth soccer groups children into twelve-month bands — August to July for US Youth Soccer, AYSO and US Club Soccer from the 2026-27 season — so one team can hold children nearly twelve months apart. Studies consistently find 35–45% of selected academy players come from the oldest quarter of the band versus 7–15% from the youngest.

Does the new August 1 cutoff fix the relative age effect?

No. It aligns age groups with school grades and reduces the number of players stranded between bands, but any twelve-month band still has an oldest and a youngest quartile. The change moves the disadvantage to different birthdays: under an August-to-July cycle the youngest players are June and July births rather than November and December.

Does being one of the youngest in the age group really hurt my child's chances?

At selection, yes — a Scottish academy study found players from the oldest quarter were 3.2 to 5.2 times more likely to be signed than those from the youngest. But the same study found no meaningful physical differences between quarters, and US data shows the bias disappears by national team level. It affects who gets picked more than who is good.

Does the relative age effect affect girls' soccer too?

Yes. The largest US study of female players, covering 3,364 players in 2021–22, found a clear bias at club level (35.6% oldest quarter vs 13.2% youngest), strongest at U13 and among center backs. It disappeared at Youth National Team level, where birth quartiles were evenly spread.


If your child is young for their age group, the research is on their side in one specific way: the gap that gets them overlooked at eleven is a calendar artifact, not a verdict. Work out which quartile they are in this season, keep them on the ball, and let the bias age out.