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…

Jarne

Steuckers

RWBelgium · KRC Genk

№ 707159Established €4.2M +0.18

Player dossierPro League

JarneSteuckers

RWRight WingerAttack

Club
KRC Genk
League
Pro League
Nationality
Belgium
Age
24
Height
180 cm
Foot
Left
Valued
4 Jun 2026

Reading the valuation

The market values Steuckers at €5M. Model A, which never saw Steuckers during training, estimates €4.2M: the market value is 19% above that estimate.

That is a factor of ×1.19. 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 €8.7M, 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.

▲ +0.18A €4.2M▼ −0.55B €8.7M
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
69
Minutes
4,421
Goals
8
Assists
18
Started
50/69
Min / app
64
Cards
3Y 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 Steuckers…

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 €4.2M

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

Jarne Steuckers's percentiles among attackers: Goals per 90 26th, Assists per 90 96th, Minutes, two years 85th, Starts 72nd, Minutes, last 365 days 69th, European club minutes 70th26thGoals96thAssists85thMinutes72ndStarts69thRecent70thEurope

Dashed ring: the attacker median (50th percentile)

Assists per 90

Club assists per 90 minutes in the same window.

0.37 this player0.15 attacker median96th percentile

0.00peer deciles · median line · this player ●0.73

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
€200k
Mar 2021
Peak
€11M
Mar 2025
Model target
€5M
Jun 2026
Valuations
18
3 club changes
Jun 2026€5MKRC GenkValuation the model is trained to reproduce

Jun 2026: €5M, KRC Genk. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2021-03-17€200kSint-Truidense VV
2021-06-07€200kSint-Truidense VV
2022-01-06€150kSint-Truidense VV
2022-04-12€100kSint-Truidense VV
2022-10-12€275kMVV Maastricht
2023-04-03€475kMVV Maastricht
2023-07-04€500kSint-Truidense VV
2023-10-23€1.4MSint-Truidense VV
2023-12-19€2.5MSint-Truidense VV
2024-03-22€3.5MSint-Truidense VV
2024-06-04€4MSint-Truidense VV
2024-10-02€7MKRC Genk
2024-12-11€8MKRC Genk
2025-03-26€11MKRC Genk
2025-06-12€11MKRC Genk
2025-12-10€10MKRC Genk
2026-03-13€8MKRC Genk
2026-06-04€5MKRC Genk

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
+0.176

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 85% of the 350 Pro League players.

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

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

Valued above 64% of the 1,583 attackers.

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

Where Steuckers 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).