Private beta · AI player discovery for recruitment teams

Your scouts can't watch everyone. Oraca already has.

Every league, every match, every week. Oraca turns nearly 20,000 players into the handful worth your scouts' time. One of them gets you promoted.

Oraca · spotted earlylive AI model
  • Jude BellinghamReal Madrid
    Birmingham City · Championship, age 15
  • Moisés Caicedo£100m+ → Chelsea
    Independiente del Valle · Ecuador
  • Erling HaalandManchester City
    Molde · Norway, age 17
  • Jamie VardyPremier League champion
    Fleetwood Town · 6th tier, 2011

You can only scout a fraction of the players who matter.

Your scouts are good. They're also a handful of people, with a region, a calendar, and a budget. Out past their patch, nearly twenty thousand players are in form every week. The one who'd walk into your side is almost certainly among the ones nobody ever told you about.

Oraca watches all of them. It reads every player across Europe's leagues and tells you which ones are worth your scouts' time, so the live scouting only a human can do goes where it counts.

An AI trained on twenty years of European football

It's already seen how the story ends.

Watching every player is the easy part. Knowing which one matters is the part no spreadsheet has ever cracked.

Oraca's models have read 300 million data points across two decades. More to the point, they've seen how those careers actually ended. Who kicked on. Who stepped up a division and thrived. Who flattered to deceive. They've learned the patterns that show up before a player rises. The kind a great scout spends a career learning to feel.

And every morning, the model reads all twenty thousand again. It won't tell you who played well on Saturday. It tells you who's about to be worth far more than he costs today, while he's still cheap enough to sign.

20+ yrs
of European football, learned
300M+
data points across almost every player
Daily
the model re-ranks the field as new results land

A track record, not a pitch.

Every player below was flagged by Oraca's models inside that blind 2018–2023 backtest, when they were still in lower leagues, on small fees, years before the market caught up. A sample.

327
players flagged in a blind 2018–2023 backtest
4.8×
average return on a recommended signing
12%
of picks returned 10× or more

Blind, held-out backtest across the 2018–2023 transfer windows. “Return” is modelled transfer-value appreciation net of acquisition cost for a club signing on Oraca's recommendation. Past model performance is not a guarantee of future results.

  • Jude BellinghamBirmingham City · 2018, age 15Real Madrid
  • Moisés CaicedoIndependiente del Valle · 2020, age 18£100m+ → Chelsea
  • Alexis Mac AllisterArgentinos Juniors · 2018, age 19Liverpool, World Cup winner
  • Kaoru MitomaKawasaki Frontale · 2019, age 22Brighton
  • Eberechi EzeQPR · 2018, age 20Arsenal, England
  • Conor GallagherCharlton Athletic · 2019, age 19Atlético Madrid, England
  • Wesley FofanaSaint-Étienne · 2019, age 18Chelsea
  • Sven BotmanHeerenveen · 2019, age 19Newcastle
  • Ivan ToneyPeterborough United · 2018, age 22Brentford, England
  • Joachim AndersenSampdoria · 2018, age 22Fulham, Denmark
  • Tyrick MitchellCrystal Palace · 2019, age 19Crystal Palace, England
  • Yoane WissaLorient · 2018, age 21Brentford, DR Congo
  • Adam ArmstrongBlackburn Rovers · 2018, age 21Southampton

Oraca doesn't replace your scouts. It aims them.

The machine narrows the field. Your scouts do the part no model can: watching a player live. The model does the reading. Your scouts do the judging.

01

Surface

Oraca's AI watches everyone. It reads hundreds of millions of data points on almost every player in European football over the last 20+ years, then ranks the ones whose output is running ahead of their price, age and profile in the leagues you choose. It catches them early, flagging players the moment they start to break out, not after the rest of the market has.

02

Scout

Instead of guessing which games to attend, your scouts get a ranked shortlist with the evidence behind it: comparables, percentiles, form, and real-time GBE and ESC eligibility. Your live scouting goes to the players most likely to be worth it.

03

Reach

A recommendation only matters if you can act on it. Oraca maps every player to your network by degree of connection. First, second, third, just like LinkedIn. You know who can actually make the introduction.

1stMark Bonner worked with him at Gillingham2ndvia Jonny Williams → Tyrick Mitchell (Crystal Palace academy)3rd+No direct path · Send outreach

Built for clubs that have to be smarter than they are rich.

Oraca is for lean recruitment teams: the ones watching hundreds of games a season and still unable to cover every league. Championship, League One, League Two and National League clubs, and any side that wins by finding value before the market does. Directors of football, sporting directors, heads of recruitment, chief scouts and analysts.

Questions, answered.

What is Oraca?
Oraca is an AI scouting platform for football recruitment teams. Its models read every player across 60+ leagues and tell you which ones are worth your scouts' time, so your live scouting goes where it counts.
How does Oraca work?
Oraca's AI has read 300 million data points across 20 years of football. It re-ranks every player daily and surfaces the ones whose output is running ahead of their age, price and league, flagging them as they start to break out.
Who is Oraca for?
Oraca is built for lean recruitment teams at clubs that have to be smarter than they are rich: Championship, League One, League Two and National League sides, and any club that wins by finding value before the market does.
Does Oraca replace scouts?
No. Oraca narrows the field; your scouts do the part no model can, which is watching a player live. The model does the reading, and your scouts do the judging.
How accurate is Oraca?
In a blind 2018 to 2023 backtest, Oraca flagged 327 players. The players it recommended returned an average of 4.8 times their fee, and 12% returned 10 times or more. It flagged Jude Bellingham, Moisés Caicedo and Jamie Vardy years before the market caught up. Past model performance is not a guarantee of future results.
Which leagues and players does Oraca cover?
Oraca covers 60+ leagues across 20+ countries and tracks nearly 20,000 players who have featured in the last 12 months, refreshed daily as new results land.

Request early access

Oraca is in private beta with a small number of clubs. Tell us where you work and we'll be in touch about getting you in.

Private beta. We'll only use your details to contact you about Oraca.