FairValue

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

Joseph

CFSpain · RCD Mallorca

№ 834742Established €4.7M −0.30

Player dossierLaLiga

MateoJoseph

CFCentre-ForwardAttack

Club
RCD Mallorca
League
LaLiga
Nationality
Spain
Age
22
Height
185 cm
Foot
Right
Valued
5 Jun 2026

Reading the valuation

The market values Joseph at €3.5M. Model A, which never saw Joseph during training, estimates €4.7M: the market value is 26% below that estimate.

That is a factor of ×1.35. 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 €1.1M, 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.

▼ −0.30A €4.7M▲ +1.18B €1.1M
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
30
Minutes
1,716
Goals
2
Assists
4
Started
19/30
Min / app
57
Cards
2Y 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 Joseph…

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 €3.5M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €3.5MModel 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

Mateo Joseph's percentiles among attackers: Goals per 90 15th, Assists per 90 73rd, Minutes, two years 37th, Starts 57th, Minutes, last 365 days 64th, European club minutes 28th15thGoals73rdAssists37thMinutes57thStarts64thRecent28thEurope

Dashed ring: the attacker median (50th percentile)

Assists per 90

Club assists per 90 minutes in the same window.

0.21 this player0.15 attacker median73rd 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
€900k
May 2023
Peak
€3.5M
Dec 2024
Model target
€3.5M
Jun 2026
Valuations
7
2 club changes
Jun 2026€3.5MRCD MallorcaValuation the model is trained to reproduce

Jun 2026: €3.5M, RCD Mallorca. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2023-05-15€900kLeeds United U21
2023-12-21€1.2MLeeds United
2024-05-24€1.2MLeeds United
2024-12-30€3.5MLeeds United
2025-05-27€3.5MLeeds United
2025-12-12€3.5MRCD Mallorca
2026-06-05€3.5MRCD 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
−0.299

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 47% of the 509 LaLiga players.

€100k€1M€10M€100M€3.5MSee them in the Explorer →

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

Valued above 56% of the 1,583 attackers.

€20k€300k€5M€75M€3.5MSee them in the Explorer →

Where Joseph 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).