For clubs and academies
Player development you can measure.
Objective, standardized data for every player, comparable across age groups, seasons and clubs, and adjusted for biological age.
A plan for every player, a team overview for every coach, and a forecast to set beside your staff’s judgment.
The hard part of youth development
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Potential is hard to tell from performance.
At 13, a lead in size and speed often comes from growing early.
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Late developers are easy to miss.
They’re often overlooked, or released long before their growth catches up with their talent.
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Benchmarks differ from club to club.
So players can’t be compared objectively over time, and decisions are hard to justify.
What the club sees
Under 13
20 of 20 tested · Test day 3
- Players tested
- 20/20
- Average age
- 12.7
- Biological age
- 12.0–14.6
- Average potential score
- 45
- Maturity mix
on test day 3
years, from date of birth
an estimate of how far along in growth
from 0 to 100
6 early · 11 on time · 3 late
Potential strip
One dot per player on the potential score, shaded by maturity. The dashed tick is the squad average.
Insights
Late developers 3
- Theo0.6 years behind in growth · score 61
- Kofiscore 47
- Jonasscore 40
Early developers 6
- Emil1.5 years ahead in growth · score 57
- Marco1.5 years ahead in growth · score 42
- +4 more
Compare
Three players on the 30 m sprint, as a percentile: against players of the same age, and against players at the same biological age.
| # | Player | Height → adult | 30 m | 30 m percentile | Potential score |
|---|---|---|---|---|---|
| 1 | Emil EarlyAge 12.6 · biological age 14.1 | 160 → 174 cm | 4.50 s | 9882 | 57 |
| 2 | Marco EarlyAge 13.1 · biological age 14.6 | 163 → 173 cm | 4.44 s | 9548 | 42 |
| 3 | Theo LateAge 12.6 · biological age 12.0 | 142 → 171 cm | 4.75 s | 5891 | 61 |
Compared by age, Theo is third of these three. Compared with players at the same biological age, he comes first.
The potential score runs from 0 to 100, on the same scale as adult professional soccer. Percentiles compare one result with other players; they are not Game1’s ranking. Biological age and adult height are estimates.
Illustrative. Sample data, not real players.
What coaches see
Know what each player should work on next.
Squad median, as a growth-adjusted percentile (against players at the same biological age)
| Category | Bar | Squad median | Change since test day 2 |
|---|---|---|---|
| Acceleration | 58th | no change | |
| Speed | 56th | +1 | |
| Agility | 55th | +1 | |
| Dribbling | 47th | +3 | |
| Ball feel | 41st | +6 | |
| Game impact | 49th | minus 1 |
Players per focus
- 8Ball feel
- 5Dribbling
- 3Agility
- 2Acceleration
- 1Speed
- 1Game impact
Mental strength focus areas
- 6Resilience
- 5Confidence
- 4Focus
- 3Coachability
- 2Grit
Theo’s plan.
Targets
- Juggling3 → 5 points
- Dribbling course10.40 s → 9.75 s
Illustrative. Sample data, not real players.
The plan says what moves a player forward and what can wait, even when it is not the obvious choice. A center back may gain more from ball feel than from dribbling.
You stay in charge: change or leave out anything that does not suit a player.
What families get from you
Every family receives a report in plain language under your club’s name: where their child stands among players at the same biological age, strengths, the focus until the next test day, and training videos. The forecast is not part of it.
See the family pageStraight answers
- How sharp is it in our first year?
- One test day already gives clear insight. But any player can have a bad day: from the second test day on, the forecast gets markedly sharper, and it keeps improving with every test day added.
- Will it label children?
- A forecast informs. People decide. Decisions about a player are made by the club, the player and the family, never automatically by Game1. Game1 is not a rankings site or a top-players list.
- How much staff time does it take?
- About 90 minutes per team, the length of a training session. Game1 staff run the first one with you.
- Does it work for girls?
- Yes. The published results are for the checked careers as a whole, not separately by sex.
- Which ages?
- Players aged 9 to 17. Scores at the youngest and oldest ages carry a range note.
- Can we get data in and out?
- Yes. Squads and results go in and out as spreadsheets, and a read-only Data API specification is available on request.
In their words
“In youth football, talent isn’t linear – some players peak early, and others emerge late. I’ve seen too many late bloomers overlooked simply because they weren’t on the radar at the right moment. Game1 has the potential to change that by bringing structure, measurement, and personalized development to the journey.”
Yanick BrecherGoalkeeper and Captain, FC Zürich