FairValue

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  • EnvironmentOverviewWhat FairValue measures, what it found, where to go next.
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Ángel

Pérez

RWSpain · Deportivo Alavés

№ 1124136Established €4.7M −0.45

Player dossierLaLiga

ÁngelPérez

RWRight WingerAttack

Club
Deportivo Alavés
League
LaLiga
Nationality
Spain
Age
23
Height
183 cm
Foot
Right
Valued
5 Jun 2026

Reading the valuation

The market values Pérez at €3M. Model A, which never saw Pérez during training, estimates €4.7M: the market value is 36% below that estimate.

That is a factor of ×1.57. Model A's typical held-out miss is ×1.50 either way, so this gap is larger than its usual error.

Without league and club, Model B estimates €2.4M, closer to the market here, although it is usually further off (typical miss ×2.07).

A gap describes the model's arithmetic for this player's inputs, not what the player is worth.

▼ −0.45A €4.7M▲ +0.20B €2.4M
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
20
Minutes
1,415
Goals
3
Assists
4
Started
15/20
Min / app
71
Cards
4Y 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 Pérez…

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 €4.7M

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

Ángel Pérez's percentiles among attackers: Goals per 90 33rd, Assists per 90 84th, Minutes, two years 29th, Starts 76th, Minutes, last 365 days 55th, European club minutes 28th33rdGoals84thAssists29thMinutes76thStarts55thRecent28thEurope

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 median84th 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
€25k
Sept 2023
Peak
€3M
Jun 2026
Model target
€3M
Jun 2026
Valuations
10
3 club changes
Jun 2026€3MDeportivo AlavésValuation the model is trained to reproduce

Jun 2026: €3M, Deportivo Alavés. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2023-09-11€25kUtebo FC
2023-12-20€50kUtebo FC
2024-03-26€100kUtebo FC
2024-06-24€150kUtebo FC
2024-10-14€200kRayo Cantabria
2024-12-18€300kRayo Cantabria
2025-06-25€400kRayo Cantabria
2025-12-30€600kSD Huesca
2026-03-16€1MDeportivo Alavés
2026-06-05€3MDeportivo Alavés

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
−0.448

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 →

LaLiga509 players · median €4M

Valued above 40% of the 509 LaLiga players.

€100k€1M€10M€100M€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 Pérez 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).