RECRUITMENT INTELLIGENCE

Welcome to datum11: real data, honestly scored.

Turn a recruitment brief into a ranked, evidence-backed shortlist, built from real season data, not a black box. Every score shows exactly what it's built on, and what it isn't.

THE NAME

Why datum11?

DATUM, NOUN (LATIN)

The singular root of "data": a single given fact. Every score we produce is built the same way, one verified datum at a time, never a guess dressed up as a number.

11, FOOTBALL SHORTHAND

The starting eleven, the XI, has always meant a team's best. We chose it as a promise: to bring our best data, our best method, and our best effort to everything we build.

HOW IT WORKS

Scattered inputs. One clear answer.

Real data goes in, a transparent method runs, and a shortlist your staff can actually interrogate comes out.

datum 11 Fixtures & results real match data Player statistics season-long, per player Club brief & budget position, age, style Personality fit ROADMAP Ranked shortlist every score, evidenced AI-written report same evidence, in words
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real players in the prototype database right now
actual season statistics, not synthetic or invented profiles
LIVE PROTOTYPE

Try it right now.

Real players, real season stats, computed live. Set a brief, get a ranked shortlist, see exactly why each player scored the way they did.

Coming soon...
Full prototype: coming soon
FROM SHORTLIST TO REPORT

AI writes the summary. Not the score.

Once a shortlist is ranked, one click asks an AI model to turn it into a plain-language report your coaching staff can read in two minutes. The model only ever writes up evidence that's already visible on screen. It never generates a new number, and every line traces back to a stat you could check yourself.

datum11 · Recruitment Report 27.07.2026
O. Brennhaugen
Fjellheim SK · Age 21 · Left-footed
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FIT SCORE
Key findings
Left-footed, on-brief, and available inside your stated budget.
Progressive passing ranks in the top 15% of the shortlist pool.
Sample size is moderate: second-tier league, 71st-percentile minutes.
Generated from 12 verified data points · Confidence: Moderate · Raw figures available on request
WHAT'S NEXT

A matching system, expanding on fact.

Today's matching runs on real statistical evidence. The roadmap adds more factors to the same fact-based method. Nothing here is live yet, and we'll say so clearly until it is.

PHASE 01

Personality & character fit

Matching a player's profile against a club's dressing-room and playing culture, not just their stats.

PHASE 02

Market value estimation

Weighing realistic transfer value alongside performance data, so fit and affordability are judged together.

PHASE 03

Video-based evaluation

Adding technical observations from match footage as a verified input alongside the box score.

PHASE 04

Wider league coverage

Extending the same evidence-based method into every lower and semi-professional league bigger platforms skip.

WHY IT'S DIFFERENT

Built to be trusted, not just used.

01

Real data only

Every number traces back to an actual, licensed data source. Nothing invented, nothing estimated to look complete.

02

Evidence, always visible

Every score shows exactly which stats it's built on, and where the data runs thin, before it ever reaches a decision.

03

Decision support, not a verdict

Built to sit alongside your scouts' judgment, not replace it: a faster starting point, not a final answer.

See it yourself. Every AI sentence below can be turned off in favor of the raw numbers behind it.

AI narrative Raw numbers

"Progressive passing ranks in the top 15% of the shortlist pool, with a moderate sample size behind the number."

progressive_passes_p90: 4.2
percentile_rank: 85
sample_minutes_pct: 71
confidence: moderate

PARTNER WITH US

Looking to partner? Get in touch.

Clubs, agencies, and data partners. We'd like to hear from you.

We'll reply from jason-de-lima@datum11.com