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…

Christopher

Wooh

CBCameroon · Spartak Moscow

№ 572326Established €4.4M +0.13

Player dossierPremier Liga

ChristopherWooh

CBCentre-BackDefender

Club
Spartak Moscow
League
Premier Liga
Nationality
Cameroon
Age
24
Height
191 cm
Foot
Right
Valued
26 May 2026

Reading the valuation

The market values Wooh at €5M. Model A, which never saw Wooh during training, estimates €4.4M: the market value is 13% above that estimate.

That is a factor of ×1.13. Model A's typical held-out miss is ×1.50 either way, so this gap is within its usual error.

Without league and club, Model B estimates €1.9M, further from the market. Model B is usually further off (typical miss ×2.07): league and club explain much of how the market prices players.

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

▲ +0.13A €4.4M▲ +0.98B €1.9M
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
48
Minutes
3,711
Goals
3
Assists
0
Started
42/48
Min / app
77
Cards
11Y 1R

Club matches, two years to the valuation date

The Valuation Journey

What moves Model A

Asking the prediction API to explain Model A for Wooh…

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 €5M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €5MModel A €4.4M

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 2,065 defenders

Christopher Wooh's percentiles among defenders: Goals per 90 77th, Assists per 90 17th, Minutes, two years 65th, Starts 62nd, Minutes, last 365 days 69th, European club minutes 30th77thGoals17thAssists65thMinutes62ndStarts69thRecent30thEurope

Dashed ring: the defender median (50th percentile)

Goals per 90

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

0.07 this player0.03 defender median77th percentile

0.00peer deciles · median line · this player ●0.41

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
Jun 2019
Peak
€7M
Dec 2024
Model target
€5M
May 2026
Valuations
17
4 club changes
May 2026€5MSpartak MoscowValuation the model is trained to reproduce

May 2026: €5M, Spartak Moscow. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2019-06-27€150kAS Nancy-Lorraine B
2020-01-06€150kAS Nancy-Lorraine B
2020-11-11€150kAS Nancy-Lorraine B
2021-06-25€600kAS Nancy-Lorraine
2021-10-08€2MRC Lens
2021-12-16€2MRC Lens
2022-05-30€3MRC Lens
2022-09-19€6MStade Rennais FC
2022-11-02€6MStade Rennais FC
2023-06-27€6MStade Rennais FC
2023-12-18€6MStade Rennais FC
2024-06-03€6MStade Rennais FC
2024-12-10€7MStade Rennais FC
2025-06-03€6MStade Rennais FC
2025-12-16€5MSpartak Moscow
2026-03-25€4.5MSpartak Moscow
2026-05-26€5MSpartak Moscow

Audit context group-level, not about this player

Audit group
non-UEFA
Population gap, Model A
+0.093 95% CI +0.063 to +0.124
This player, market vs held-out A
+0.126

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 →

Premier Liga412 players · median €1M

Valued above 86% of the 412 Premier Liga players.

€50k€300k€2M€15M€5MSee them in the Explorer →

Defenders, all leagues2,065 players · median €2M

Valued above 70% of the 2,065 defenders.

€20k€200k€2M€20M€5MSee them in the Explorer →

Where Wooh 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).