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…

Portrait of Deniz Undav

Deniz

Undav

CFGermany · VfB Stuttgart

№ 339314Elite €26.4M −0.18

Image: FootyLogos

Player dossierBundesliga

DenizUndav

CFCentre-ForwardAttack

Club
VfB Stuttgart
League
Bundesliga
Nationality
Germany
Age
29
Height
179 cm
Foot
Both
Valued
27 May 2026

Reading the valuation

The market values Undav at €22M. Model A, which never saw Undav during training, estimates €26.4M: the market value is 17% below that estimate.

That is a factor of ×1.20. 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 €29.4M, 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 €26.4M▼ −0.29B €29.4M
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
83
Minutes
5,970
Goals
38
Assists
20
Started
68/83
Min / app
72
Cards
13Y 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 Undav…

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 €22M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €22MModel A €26.4M

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

Deniz Undav's percentiles among attackers: Goals per 90 93rd, Assists per 90 90th, Minutes, two years 97th, Starts 85th, Minutes, last 365 days 98th, European club minutes 84th93rdGoals90thAssists97thMinutes85thStarts98thRecent84thEurope

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.

3,555 this player1,301 attacker median98th 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
€25k
May 2015
Peak
€28M
Oct 2024
Model target
€22M
May 2026
Valuations
34
6 club changes
May 2026€22MVfB StuttgartValuation the model is trained to reproduce

May 2026: €22M, VfB Stuttgart. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2015-05-08€25kTSV Havelse U19
2015-07-14€25kTSV Havelse
2015-11-04€50kTSV Havelse
2016-02-25€75kTSV Havelse
2016-07-27€125kTSV Havelse
2016-10-25€150kTSV Havelse
2017-02-05€175kTSV Havelse
2017-08-02€175kEintracht Braunschweig II
2018-02-09€175kEintracht Braunschweig II
2018-06-19€175kEintracht Braunschweig II
2018-06-30€225kEintracht Braunschweig II
2019-01-15€225kSV Meppen
2019-06-14€225kSV Meppen
2019-12-11€400kSV Meppen
2020-04-03€700kSV Meppen
2020-04-08€550kSV Meppen
2020-07-01€800kUnion Saint-Gilloise
2020-10-21€600kUnion Saint-Gilloise
2021-02-23€900kUnion Saint-Gilloise
2021-10-06€2.2MUnion Saint-Gilloise
2022-01-06€5MUnion Saint-Gilloise
2022-04-12€8MUnion Saint-Gilloise
2022-11-03€6MBrighton & Hove Albion
2023-06-20€10MBrighton & Hove Albion
2023-12-14€17MVfB Stuttgart
2024-03-27€22MVfB Stuttgart
2024-05-29€25MVfB Stuttgart
2024-10-09€28MVfB Stuttgart
2024-12-20€28MVfB Stuttgart
2025-03-27€22MVfB Stuttgart
2025-06-05€20MVfB Stuttgart
2025-12-19€20MVfB Stuttgart
2026-03-20€22MVfB Stuttgart
2026-05-27€22MVfB Stuttgart

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
−0.183

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 →

Bundesliga451 players · median €5M

Valued above 85% of the 451 Bundesliga players.

€300k€2M€15M€100M€22MSee them in the Explorer →

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

Valued above 89% of the 1,583 attackers.

€20k€300k€5M€75M€22MSee them in the Explorer →

Where Undav 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).