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…

Adrian

Blake

LWEngland · FC Utrecht

№ 875581Established €6.5M −1.17

Player dossierEredivisie

AdrianBlake

LWLeft WingerAttack

Club
FC Utrecht
League
Eredivisie
Nationality
England
Age
20
Height
182 cm
Foot
Right
Valued
28 May 2026

Reading the valuation

The market values Blake at €2M. Model A, which never saw Blake during training, estimates €6.5M: the market value is 69% below that estimate.

That is a factor of ×3.23. 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 €13.7M, 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.

▼ −1.17A €6.5M▼ −1.92B €13.7M
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
56
Minutes
2,198
Goals
8
Assists
4
Started
20/56
Min / app
39
Cards
5Y 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 Blake…

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 €2M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €2MModel A €6.5M

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 1,583 attackers

Adrian Blake's percentiles among attackers: Goals per 90 62nd, Assists per 90 57th, Minutes, two years 50th, Starts 16th, Minutes, last 365 days 62nd, European club minutes 95th62ndGoals57thAssists50thMinutes16thStarts62ndRecent95thEurope

Dashed ring: the attacker median (50th percentile)

European club minutes

Share of minutes played in UEFA club competitions.

31% this player0% attacker median95th percentile

0%peer deciles · median line · this player ●100%

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
€300k
Oct 2023
Peak
€3M
Dec 2025
Model target
€2M
May 2026
Valuations
9
1 club change
May 2026€2MFC UtrechtValuation the model is trained to reproduce

May 2026: €2M, FC Utrecht. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2023-10-17€300kFC Utrecht U21
2023-12-15€300kFC Utrecht U21
2024-06-10€500kFC Utrecht U21
2024-12-17€500kFC Utrecht
2025-05-28€750kFC Utrecht
2025-10-02€1.3MFC Utrecht
2025-12-02€3MFC Utrecht
2026-03-11€2MFC Utrecht
2026-05-28€2MFC Utrecht

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
−1.174

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 →

Eredivisie425 players · median €1M

Valued above 62% of the 425 Eredivisie players.

€75k€500k€3M€20M€2MSee them in the Explorer →

Attackers, all leagues1,583 players · median €2.5M

Valued above 44% of the 1,583 attackers.

€20k€300k€5M€75M€2MSee them in the Explorer →

Where Blake 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).