FairValue

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

Marc

Cucurella

LBSpain · Chelsea FC

№ 284857World Class €42.4M +0.16

Image: FootyLogos

Player dossierPremier League

MarcCucurella

LBLeft-BackDefender

Club
Chelsea FC
League
Premier League
Nationality
Spain
Age
27
Height
173 cm
Foot
Left
Valued
3 Jun 2026

Reading the valuation

The market values Cucurella at €50M. Model A, which never saw Cucurella during training, estimates €42.4M: the market value is 18% above that estimate.

That is a factor of ×1.18. 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 €41.8M, 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.

▲ +0.16A €42.4M▲ +0.18B €41.8M
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
93
Minutes
7,494
Goals
6
Assists
7
Started
82/93
Min / app
81
Cards
22Y 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 Cucurella…

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 €50M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €50MModel A €42.4M

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 2,065 defenders

Marc Cucurella's percentiles among defenders: Goals per 90 76th, Assists per 90 73rd, Minutes, two years 99th, Starts 64th, Minutes, last 365 days 100th, European club minutes 81st76thGoals73rdAssists99thMinutes64thStarts100thRecent81stEurope

Dashed ring: the defender median (50th percentile)

Minutes, last 365 days

Club minutes in the final year of the window: recent involvement, or the absence of it.

4,367 this player1,687 defender median100th percentile

0peer deciles · median line · this player ●4,941

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
€700k
Jun 2017
Peak
€55M
Sept 2022
Model target
€50M
Jun 2026
Valuations
27
5 club changes
Jun 2026€50MChelsea FCValuation the model is trained to reproduce

Jun 2026: €50M, Chelsea FC. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2017-06-30€700kFC Barcelona U19
2018-01-01€2.5MFC Barcelona B
2018-05-30€5MFC Barcelona B
2018-12-21€7.5MSD Eibar
2019-02-28€10MSD Eibar
2019-06-11€10MSD Eibar
2019-12-20€15MGetafe CF
2020-03-05€20MGetafe CF
2020-04-08€18MGetafe CF
2020-10-08€20MGetafe CF
2021-01-05€20MGetafe CF
2021-06-10€20MGetafe CF
2021-12-23€20MBrighton & Hove Albion
2022-06-15€28MBrighton & Hove Albion
2022-09-15€55MChelsea FC
2022-11-03€55MChelsea FC
2023-03-16€40MChelsea FC
2023-06-20€35MChelsea FC
2023-10-09€28MChelsea FC
2023-12-19€25MChelsea FC
2024-05-27€25MChelsea FC
2024-07-18€30MChelsea FC
2024-12-16€30MChelsea FC
2025-05-30€35MChelsea FC
2025-10-17€45MChelsea FC
2025-12-09€50MChelsea FC
2026-06-03€50MChelsea FC

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
+0.164

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 →

Premier League555 players · median €18M

Valued above 88% of the 555 Premier League players.

€150k€1M€7.5M€50M€50MSee them in the Explorer →

Defenders, all leagues2,065 players · median €2M

Valued above 98% of the 2,065 defenders.

€20k€200k€2M€20M€50MSee them in the Explorer →

Where Cucurella 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).