FairValue

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  • EnvironmentOverviewWhat FairValue measures, what it found, where to go next.
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  • TerminalPlayer ExplorerSearch, filter and sort the player export.
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  • TerminalMarket LandscapeHow observed value is distributed, and where the model drifts.

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Jan

Virgili

LWSpain · RCD Mallorca

№ 1301775Elite €11.8M +0.24

Player dossierLaLiga

JanVirgili

LWLeft WingerAttack

Club
RCD Mallorca
League
LaLiga
Nationality
Spain
Age
19
Height
177 cm
Foot
Right
Valued
5 Jun 2026

Reading the valuation

The market values Virgili at €15M. Model A, which never saw Virgili during training, estimates €11.8M: the market value is 27% above that estimate.

That is a factor of ×1.27. 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 €12.7M, 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.

▲ +0.24A €11.8M▲ +0.16B €12.7M
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
34
Minutes
1,824
Goals
2
Assists
6
Started
19/34
Min / app
54
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 Virgili…

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 €15M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €15MModel A €11.8M

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

Jan Virgili's percentiles among attackers: Goals per 90 14th, Assists per 90 90th, Minutes, two years 40th, Starts 45th, Minutes, last 365 days 67th, European club minutes 28th14thGoals90thAssists40thMinutes45thStarts67thRecent28thEurope

Dashed ring: the attacker median (50th percentile)

Assists per 90

Club assists per 90 minutes in the same window.

0.30 this player0.15 attacker median90th 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
€200k
Mar 2025
Peak
€15M
Mar 2026
Model target
€15M
Jun 2026
Valuations
6
1 club change
Jun 2026€15MRCD MallorcaValuation the model is trained to reproduce

Jun 2026: €15M, RCD Mallorca. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2025-03-27€200kFC Barcelona Atlètic
2025-06-25€3MFC Barcelona Atlètic
2025-10-02€10MRCD Mallorca
2025-12-12€12MRCD Mallorca
2026-03-16€15MRCD Mallorca
2026-06-05€15MRCD 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
+0.242

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 80% of the 509 LaLiga players.

€100k€1M€10M€100M€15MSee them in the Explorer →

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

Valued above 81% of the 1,583 attackers.

€20k€300k€5M€75M€15MSee them in the Explorer →

Where Virgili 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).