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…

Milan

Smit

CFNetherlands · Go Ahead Eagles

№ 703772Established €3.7M −0.60

Player dossierEredivisie

MilanSmit

CFCentre-ForwardAttack

Club
Go Ahead Eagles
League
Eredivisie
Nationality
Netherlands
Age
22
Height
190 cm
Foot
Right
Valued
2 Dec 2025

Reading the valuation

The market values Smit at €2M. Model A, which never saw Smit during training, estimates €3.7M: the market value is 45% below that estimate.

That is a factor of ×1.83. 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 €8.6M, 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.

▼ −0.60A €3.7M▼ −1.46B €8.6M
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
46
Minutes
2,448
Goals
10
Assists
4
Started
24/46
Min / app
53
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 Smit…

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 €3.7M

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

Milan Smit's percentiles among attackers: Goals per 90 70th, Assists per 90 50th, Minutes, two years 55th, Starts 38th, Minutes, last 365 days 84th, European club minutes 78th70thGoals50thAssists55thMinutes38thStarts84thRecent78thEurope

Dashed ring: the attacker median (50th percentile)

Minutes, last 365 days

Club minutes in the final year of the window: recent involvement, or the absence of it.

2,392 this player1,301 attacker median84th percentile

0peer deciles · median line · this player ●4,703

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
€175k
Sept 2022
Peak
€2M
Dec 2025
Model target
€2M
Dec 2025
Valuations
9
1 club change
Dec 2025€2MGo Ahead EaglesValuation the model is trained to reproduce

Dec 2025: €2M, Go Ahead Eagles. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2022-09-14€175kSC Cambuur Leeuwarden
2022-11-11€150kSC Cambuur Leeuwarden
2023-06-23€175kSC Cambuur Leeuwarden
2024-01-08€600kSC Cambuur Leeuwarden
2024-06-10€750kSC Cambuur Leeuwarden
2024-10-14€1MGo Ahead Eagles
2024-12-17€1MGo Ahead Eagles
2025-05-28€1.5MGo Ahead Eagles
2025-12-02€2MGo Ahead Eagles

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
−0.604

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 Smit 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).