FairValue

Checking model

Esc

  • EnvironmentOverviewWhat FairValue measures, what it found, where to go next.
  • EnvironmentTerminalExplore, compare and track players; market, league and model views.
  • EnvironmentStoriesValuations, head-to-heads and research findings, told as stories.
  • TerminalPlayer ExplorerSearch, filter and sort the player export.
  • TerminalComparison StudioTwo to four players on one scale.
  • TerminalWatchlistsNamed collections, kept in this browser.
  • TerminalMarket LandscapeHow observed value is distributed, and where the model drifts.

↑ ↓ to move · Enter to open · Esc to closeLoading player index…

Aimé

Omgba

AMNetherlands · KAA Gent

№ 568373Emerging €497k +0.70

Player dossierPro League

AiméOmgba

AMAttacking MidfieldMidfield

Club
KAA Gent
League
Pro League
Nationality
Netherlands
Age
23
Height
190 cm
Foot
Right
Valued
4 Jun 2026

Reading the valuation

The market values Omgba at €1M. Model A, which never saw Omgba during training, estimates €497k: the market value is 101% above that estimate.

That is a factor of ×2.01. Model A's typical held-out miss is ×1.50 either way, so this gap is larger than its usual error.

Without league and club, Model B estimates €698k, closer to the market here, although it is usually further off (typical miss ×2.07).

A gap describes the model's arithmetic for this player's inputs, not what the player is worth.

▲ +0.70A €497k▲ +0.36B €698k
Pitch length is a log value scale fitted to this player's figures. ● observed · ◇ Model A · dashed ◇ Model B · each arc is a residual, log(observed) − log(estimate).
Apps
22
Minutes
467
Goals
1
Assists
0
Started
2/22
Min / app
21
Cards
0Y 0R

Club matches, two years to the valuation date

The Valuation Journey

What moves Model A

Asking the prediction API to explain Model A for Omgba…

SHAP describes the model's arithmetic for this player's inputs, not what causes market value. Model B can be explained only by the live service; Model A also has a published explanation for the research players.

Model A vs Model B against the observed €1M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €1MModel A €497k

Asking the prediction API…

Held-out estimates come from cross-validation, with this player outside the training data: the honest comparison. Served models were refitted on every player, this one included, so they sit closer to the market. Shaded band: Model A's typical miss (×1.50 either way).

Player traitspercentiles vs 1,687 midfielders

Aimé Omgba's percentiles among midfielders: Goals per 90 81st, Assists per 90 8th, Minutes, two years 1st, Starts 0th, Minutes, last 365 days 9th, European club minutes 30th81stGoals8thAssists1stMinutes0thStarts9thRecent30thEurope

Dashed ring: the midfielder median (50th percentile)

Goals per 90

Club goals per 90 minutes played in the two years to the valuation date.

0.19 this player0.08 midfielder median81st percentile

0.00peer deciles · median line · this player ●0.93

No passing, progression or defensive actions exist in the dataset, so no trait claims to measure them.

Valuation history every Transfermarkt valuation on record

First valuation
€150k
Apr 2023
Peak
€2M
Jun 2025
Model target
€1M
Jun 2026
Valuations
9
1 club change
Jun 2026€1MKAA GentValuation the model is trained to reproduce

Jun 2026: €1M, KAA Gent. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2023-04-03€150kNAC Breda
2023-07-04€300kNAC Breda
2024-01-08€800kNAC Breda
2024-06-10€1.5MNAC Breda
2024-12-11€1.5MKAA Gent
2025-06-12€2MKAA Gent
2025-10-01€1.4MKAA Gent
2025-12-10€1MKAA Gent
2026-06-04€1MKAA Gent

Audit context group-level, not about this player

Audit group
UEFA
Population gap, Model A
+0.093 95% CI +0.063 to +0.124
This player, market vs held-out A
+0.699

The group comes from first-listed citizenship and is never a model input. Across the population, non-UEFA players' market values sit about 10% above Model A's held-out estimates, relative to UEFA players in the same leagues. One player's residual says nothing about that pattern (typical miss ×1.50), and none of it is evidence of discrimination: the target may itself be biased. Open the Fairness Audit

In context observed value among comparable players in this build

All players in the Terminal →

Pro League350 players · median €1.8M

Valued above 27% of the 350 Pro League players.

€100k€750k€5M€30M€1MSee them in the Explorer →

Midfielders, all leagues1,687 players · median €2M

Valued above 32% of the 1,687 midfielders.

€20k€200k€2M€20M€1MSee them in the Explorer →

Where Omgba appears

Watchlists and the comparison tray are kept in this browser only.

Near this valuation closest observed values: same league, then same position

Counts and ranks of observed Transfermarkt values only; model errors are never ranked here. Full player export: Every player in the modelling population (D-011).