FairValue

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Ro-Zangelo

Daal

LWNetherlands · AZ Alkmaar

№ 800995Established €2.6M +0.15

Player dossierEredivisie

Ro-ZangeloDaal

LWLeft WingerAttack

Club
AZ Alkmaar
League
Eredivisie
Nationality
Netherlands
Age
22
Height
173 cm
Foot
Right
Valued
28 May 2026

Reading the valuation

The market values Daal at €3M. Model A, which never saw Daal during training, estimates €2.6M: the market value is 16% above that estimate.

That is a factor of ×1.16. 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 €3.6M, 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.

▲ +0.15A €2.6M▼ −0.18B €3.6M
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
40
Minutes
1,980
Goals
2
Assists
0
Started
26/40
Min / app
50
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 Daal…

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 €3M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €3MModel A €2.6M

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

Ro-Zangelo Daal's percentiles among attackers: Goals per 90 12th, Assists per 90 6th, Minutes, two years 44th, Starts 61st, Minutes, last 365 days 67th, European club minutes 81st12thGoals6thAssists44thMinutes61stStarts67thRecent81stEurope

Dashed ring: the attacker median (50th percentile)

European club minutes

Share of minutes played in UEFA club competitions.

18% this player0% attacker median81st percentile

0%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
€100k
Oct 2022
Peak
€3M
May 2026
Model target
€3M
May 2026
Valuations
9
1 club change
May 2026€3MAZ AlkmaarValuation the model is trained to reproduce

May 2026: €3M, AZ Alkmaar. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2022-10-12€100kAZ Alkmaar U21
2023-07-04€300kAZ Alkmaar U21
2024-01-08€400kAZ Alkmaar U21
2024-06-10€500kAZ Alkmaar U21
2024-12-10€600kAZ Alkmaar U21
2025-05-28€750kAZ Alkmaar
2025-12-02€1.5MAZ Alkmaar
2026-03-11€2MAZ Alkmaar
2026-05-28€3MAZ Alkmaar

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
+0.150

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 70% of the 425 Eredivisie players.

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

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

Valued above 52% of the 1,583 attackers.

€20k€300k€5M€75M€3MSee them in the Explorer →

Where Daal 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).