FairValue

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  • EnvironmentOverviewWhat FairValue measures, what it found, where to go next.
  • EnvironmentTerminalExplore, compare and track players; market, league and model views.
  • EnvironmentStoriesValuations, head-to-heads and research findings, told as stories.
  • TerminalPlayer ExplorerSearch, filter and sort the player export.
  • TerminalComparison StudioTwo to four players on one scale.
  • TerminalWatchlistsNamed collections, kept in this browser.
  • TerminalMarket LandscapeHow observed value is distributed, and where the model drifts.

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Fer

López

AMSpain · Celta de Vigo

№ 1064471Elite €7.7M +0.73

Player dossierLaLiga

FerLópez

AMAttacking MidfieldMidfield

Club
Celta de Vigo
League
LaLiga
Nationality
Spain
Age
22
Height
188 cm
Foot
Left
Valued
5 Jun 2026

Reading the valuation

The market values López at €16M. Model A, which never saw López during training, estimates €7.7M: the market value is 107% above that estimate.

That is a factor of ×2.07. 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 €8.3M, 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.

▲ +0.73A €7.7M▲ +0.66B €8.3M
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
52
Minutes
2,466
Goals
4
Assists
2
Started
25/52
Min / app
47
Cards
7Y 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 López…

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 €16M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €16MModel A €7.7M

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 1,687 midfielders

Fer López's percentiles among midfielders: Goals per 90 71st, Assists per 90 40th, Minutes, two years 47th, Starts 19th, Minutes, last 365 days 58th, European club minutes 72nd71stGoals40thAssists47thMinutes19thStarts58thRecent72ndEurope

Dashed ring: the midfielder median (50th percentile)

European club minutes

Share of minutes played in UEFA club competitions.

10% this player0% midfielder median72nd percentile

0%peer deciles · median line · this player ●85%

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
€50k
Sept 2023
Peak
€18M
Oct 2025
Model target
€16M
Jun 2026
Valuations
9
3 club changes
Jun 2026€16MCelta de VigoValuation the model is trained to reproduce

Jun 2026: €16M, Celta de Vigo. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2023-09-11€50kRC Celta Fortuna
2023-12-20€200kRC Celta Fortuna
2024-06-24€300kRC Celta Fortuna
2024-12-18€400kRC Celta Fortuna
2025-03-27€1.5MCelta de Vigo
2025-06-09€5MCelta de Vigo
2025-10-17€18MWolverhampton Wanderers
2025-12-09€16MWolverhampton Wanderers
2026-06-05€16MCelta de Vigo

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
+0.727

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 84% of the 509 LaLiga players.

€100k€1M€10M€100M€16MSee them in the Explorer →

Midfielders, all leagues1,687 players · median €2M

Valued above 86% of the 1,687 midfielders.

€20k€200k€2M€20M€16MSee them in the Explorer →

Where López 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).