RECRUITMENT INTELLIGENCE

Welcome to datum11: real data, honestly scored.

Turn a recruitment brief into a ranked, evidence-backed shortlist, built from real season data and a transparent scoring method. Every score shows exactly what it's built on.

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.

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. Press any card to see why it matters.

0
real players in the prototype database right now
actual season statistics pulled from real matches
PROTOTYPE STATUS

Still a work in progress.

We're rebuilding the interactive shortlist tool properly: real players, real season stats, computed live. It's still in development, and we wanted the site to say so plainly.

In development...
FROM SHORTLIST TO REPORT

AI writes the summary. The formula writes 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
0
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.

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 earn trust.

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

Built to sit alongside your scouts' judgment: a faster starting point for every decision.

See it yourself. Switch off any AI sentence below to see 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.

We're an early, non-commercial project, and we'd like to hear from the people it's actually for.

Whether you're evaluating recruitment tools, curious about the method, or want to help shape it early, we'd like to hear from you.

01
ClubsTier 3–5 and semi-professional, evaluating a fact-based shortlist tool.
02
AgenciesRepresenting players in leagues bigger platforms tend to skip.
03
Data partnersWith coverage of lower and semi-professional leagues.

Prefer email? Write to jason-de-lima@datum11.com directly.

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