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…

Naci

Ünüvar

LWTürkiye · Heracles Almelo

№ 508639Emerging €756k +0.28

Player dossierEredivisie

NaciÜnüvar

LWLeft WingerAttack

Club
Heracles Almelo
League
Eredivisie
Nationality
Türkiye
Age
22
Height
168 cm
Foot
Right
Valued
28 May 2026

Reading the valuation

The market values Ünüvar at €1M. Model A, which never saw Ünüvar during training, estimates €756k: the market value is 32% above that estimate.

That is a factor of ×1.32. 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 €1.7M, 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.

▲ +0.28A €756k▼ −0.54B €1.7M
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
36
Minutes
1,434
Goals
2
Assists
4
Started
13/36
Min / app
40
Cards
6Y 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 Ünüvar…

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 €1M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €1MModel A €756k

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

Naci Ünüvar's percentiles among attackers: Goals per 90 18th, Assists per 90 83rd, Minutes, two years 30th, Starts 16th, Minutes, last 365 days 32nd, European club minutes 61st18thGoals83rdAssists30thMinutes16thStarts32ndRecent61stEurope

Dashed ring: the attacker median (50th percentile)

Assists per 90

Club assists per 90 minutes in the same window.

0.25 this player0.15 attacker median83rd 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
€4M
Jan 2020
Peak
€6M
Oct 2020
Model target
€1M
May 2026
Valuations
18
6 club changes
May 2026€1MHeracles AlmeloValuation the model is trained to reproduce

May 2026: €1M, Heracles Almelo. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2020-01-17€4MAjax Amsterdam U21
2020-04-08€3.6MAjax Amsterdam U21
2020-06-29€4MAjax Amsterdam U21
2020-10-24€6MAjax Amsterdam U21
2020-12-31€5MAjax Amsterdam U21
2021-03-16€4.5MAjax Amsterdam U21
2021-10-12€3MAjax Amsterdam U21
2022-01-12€3.5MAjax Amsterdam U21
2022-06-23€3.5MAjax Amsterdam U21
2022-10-27€3.2MTrabzonspor
2023-03-14€3MTrabzonspor
2023-06-08€2.5MAjax Amsterdam
2023-12-15€2.5MFC Twente Enschede
2024-05-31€2.5MFC Twente Enschede
2024-12-27€2MRCD Espanyol Barcelona
2025-05-28€2MFC Twente Enschede
2025-12-02€1.5MFC Twente Enschede
2026-05-28€1MHeracles Almelo

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
+0.280

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 46% of the 425 Eredivisie players.

€75k€500k€3M€20M€1MSee them in the Explorer →

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

Valued above 29% of the 1,583 attackers.

€20k€300k€5M€75M€1MSee them in the Explorer →

Where Ünüvar 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).