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…

Mike

Eerdhuijzen

CBNetherlands · FC Utrecht

№ 482141Emerging €1.7M −0.25

Player dossierEredivisie

MikeEerdhuijzen

CBCentre-BackDefender

Club
FC Utrecht
League
Eredivisie
Nationality
Netherlands
Age
25
Height
194 cm
Foot
Left
Valued
28 May 2026

Reading the valuation

The market values Eerdhuijzen at €1.3M. Model A, which never saw Eerdhuijzen during training, estimates €1.7M: the market value is 22% below that estimate.

That is a factor of ×1.28. 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 €2.8M, 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.

▼ −0.25A €1.7M▼ −0.78B €2.8M
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
3,460
Goals
1
Assists
0
Started
42/46
Min / app
75
Cards
8Y 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 Eerdhuijzen…

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 €1.3M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €1.3MModel A €1.7M

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 2,065 defenders

Mike Eerdhuijzen's percentiles among defenders: Goals per 90 45th, Assists per 90 17th, Minutes, two years 61st, Starts 73rd, Minutes, last 365 days 14th, European club minutes 66th45thGoals17thAssists61stMinutes73rdStarts14thRecent66thEurope

Dashed ring: the defender median (50th percentile)

Starts

Share of appearances started rather than entered from the bench.

91% this player83% defender median73rd percentile

18%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
€25k
Jul 2019
Peak
€2.5M
Oct 2024
Model target
€1.3M
May 2026
Valuations
19
2 club changes
May 2026€1.3MFC UtrechtValuation the model is trained to reproduce

May 2026: €1.3M, FC Utrecht. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2019-07-03€25kFC Volendam
2019-08-09€75kFC Volendam
2020-06-29€75kFC Volendam
2020-10-24€125kFC Volendam
2020-12-31€175kFC Volendam
2021-03-16€200kFC Volendam
2021-10-12€250kFC Volendam
2022-01-12€300kFC Volendam
2022-03-24€325kFC Volendam
2022-06-23€325kFC Volendam
2022-11-11€400kSparta Rotterdam
2023-06-23€900kSparta Rotterdam
2023-12-15€900kSparta Rotterdam
2024-05-31€1.3MSparta Rotterdam
2024-10-14€2.5MSparta Rotterdam
2024-12-17€2MSparta Rotterdam
2025-05-28€2.3MSparta Rotterdam
2025-12-02€1.7MFC Utrecht
2026-05-28€1.3MFC 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
−0.246

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 52% of the 425 Eredivisie players.

€75k€500k€3M€20M€1.3MSee them in the Explorer →

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

Valued above 42% of the 2,065 defenders.

€20k€200k€2M€20M€1.3MSee them in the Explorer →

Where Eerdhuijzen 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).