FairValue

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Portrait of Noa Lang

Noa

Lang

LWNetherlands · Galatasaray

№ 339332Elite €21.9M 0.00

Close-up

Image: FootyLogos

Player dossierSüper Lig

NoaLang

LWLeft WingerAttack

Club
Galatasaray
League
Süper Lig
Nationality
Netherlands
Age
26
Height
176 cm
Foot
Right
Valued
21 May 2026

Reading the valuation

The market values Lang at €22M. Model A, which never saw Lang during training, estimates €21.9M: the market value is level with that estimate.

That is a factor of ×1.00. 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 €25.7M, 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.

▲ 0.00A €21.9M▼ −0.16B €25.7M
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
88
Minutes
4,720
Goals
17
Assists
17
Started
52/88
Min / app
54
Cards
10Y 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 Lang…

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 €21.9M

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

Noa Lang's percentiles among attackers: Goals per 90 62nd, Assists per 90 93rd, Minutes, two years 88th, Starts 50th, Minutes, last 365 days 71st, European club minutes 90th62ndGoals93rdAssists88thMinutes50thStarts71stRecent90thEurope

Dashed ring: the attacker median (50th percentile)

Assists per 90

Club assists per 90 minutes in the same window.

0.32 this player0.15 attacker median93rd 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
€100k
Jun 2017
Peak
€25M
Oct 2021
Model target
€22M
May 2026
Valuations
27
8 club changes
May 2026€22MGalatasarayValuation the model is trained to reproduce

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

Show as a table
DateMarket valueClub
2017-06-21€100kAjax Amsterdam U19
2018-03-01€150kAjax Amsterdam U21
2018-06-12€250kAjax Amsterdam U21
2019-01-21€250kAjax Amsterdam U21
2019-06-12€1MAjax Amsterdam U21
2019-09-19€3MAjax Amsterdam
2019-12-18€3MAjax Amsterdam
2020-04-08€2.7MFC Twente Enschede
2020-06-29€3.5MAjax Amsterdam
2020-10-16€4.5MClub Brugge KV
2021-01-04€8MClub Brugge KV
2021-03-17€20MClub Brugge KV
2021-06-07€22MClub Brugge KV
2021-10-06€25MClub Brugge KV
2022-01-06€25MClub Brugge KV
2022-04-12€22MClub Brugge KV
2022-09-07€19MClub Brugge KV
2022-11-04€15MClub Brugge KV
2023-06-09€15MClub Brugge KV
2023-10-17€20MPSV Eindhoven
2023-12-15€20MPSV Eindhoven
2024-05-31€18MPSV Eindhoven
2024-12-17€20MPSV Eindhoven
2025-03-28€25MPSV Eindhoven
2025-05-28€25MPSV Eindhoven
2025-12-23€25MSSC Napoli
2026-05-21€22MGalatasaray

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
+0.003

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 →

Süper Lig428 players · median €1.2M

8th highest observed value among 428 Süper Lig players.

€50k€300k€2M€15M€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 Lang 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).