Private beta · AI player discovery for recruitment teams

Your scouts can't watch everyone. Oraca tells you who to watch.

You can't replace a scout watching a player live — so we don't try. Oraca's AI reads hundreds of millions of data points on almost every player in European football over the last 20 years, and hands your team a shortlist worth the trip.

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.

Even a department watching hundreds of games a season sees a sliver of the players who could change your club. Pick the wrong games and you burn your scouting budget on players who were never right — while the one you needed plays on, unwatched, in a league you don't cover.

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.

The engine

An AI trained on twenty years of European football.

Oraca's models have read the career of almost every player in European football over the last two decades. They learn the patterns that come before a breakout — the signals buried in a 19-year-old's numbers in Ligue 2 that no one can weigh across thousands of players at once.

Every week the AI re-ranks the field as new results land, so the shortlist in front of your scouts is current — not last season's hunch. The model does the reading. Your scouts do the judging.

20+ yrs
of European football, learned
300M+
data points across almost every player
Weekly
the model re-ranks 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. Then you sign.

01

Surface

Oraca's AI watches everyone. It reads hundreds of millions of data points — almost every player in European football over the last 20+ years — and 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 — so 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.

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.