FairValue

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

Domènech

CFSpain · RCD Mallorca

№ 1296876Emerging €1.7M −0.51

Player dossierLaLiga

MarcDomènech

CFCentre-ForwardAttack

Club
RCD Mallorca
League
LaLiga
Nationality
Spain
Age
19
Height
182 cm
Foot
Left
Valued
12 Dec 2025

Reading the valuation

The market values Domènech at €1M. Model A, which never saw Domènech during training, estimates €1.7M: the market value is 40% below that estimate.

That is a factor of ×1.66. 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 €2.2M, 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.

▼ −0.51A €1.7M▼ −0.79B €2.2M
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
19
Minutes
601
Goals
0
Assists
1
Started
6/19
Min / app
32
Cards
0Y 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 Domènech…

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 €1.7M

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

Marc Domènech's percentiles among attackers: Goals per 90 3rd, Assists per 90 52nd, Minutes, two years 6th, Starts 12th, Minutes, last 365 days 13th, European club minutes 28th3rdGoals52ndAssists6thMinutes12thStarts13thRecent28thEurope

Dashed ring: the attacker median (50th percentile)

Assists per 90

Club assists per 90 minutes in the same window.

0.15 this player0.15 attacker median52nd 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
€500k
Oct 2024
Peak
€1M
Jun 2025
Model target
€1M
Dec 2025
Valuations
4
1 club change
Dec 2025€1MRCD MallorcaValuation the model is trained to reproduce

Dec 2025: €1M, RCD Mallorca. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2024-10-11€500kRCD Mallorca B
2024-12-27€500kRCD Mallorca B
2025-06-09€1MRCD Mallorca B
2025-12-12€1MRCD Mallorca

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
−0.508

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 8% of the 509 LaLiga players.

€100k€1M€10M€100M€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 Domènech 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).