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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Equi

Fernández

DMArgentina · Bayer 04 Leverkusen

№ 664708Elite €10M +0.70

Player dossierBundesliga

EquiFernández

DMDefensive MidfieldMidfield

Club
Bayer 04 Leverkusen
League
Bundesliga
Nationality
Argentina
Age
23
Height
178 cm
Foot
Left
Valued
27 May 2026

Reading the valuation

The market values Fernández at €20M. Model A, which never saw Fernández during training, estimates €10M: the market value is 101% above that estimate.

That is a factor of ×2.01. 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 €3.2M, 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.

▲ +0.70A €10M▲ +1.83B €3.2M
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
30
Minutes
1,457
Goals
0
Assists
1
Started
17/30
Min / app
49
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 Fernández…

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 €20M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €20MModel A €10M

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

Equi Fernández's percentiles among midfielders: Goals per 90 10th, Assists per 90 34th, Minutes, two years 24th, Starts 30th, Minutes, last 365 days 47th, European club minutes 96th10thGoals34thAssists24thMinutes30thStarts47thRecent96thEurope

Dashed ring: the midfielder median (50th percentile)

European club minutes

Share of minutes played in UEFA club competitions.

30% this player0% midfielder median96th 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
€350k
Aug 2019
Peak
€25M
Oct 2025
Model target
€20M
May 2026
Valuations
18
5 club changes
May 2026€20MBayer 04 LeverkusenValuation the model is trained to reproduce

May 2026: €20M, Bayer 04 Leverkusen. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2019-08-06€350kUnknown
2019-12-05€500kUnknown
2020-04-08€450kCA Boca Juniors II
2021-02-08€450kCA Boca Juniors II
2022-05-24€3MClub Atlético Tigre
2022-09-06€4.5MClub Atlético Tigre
2022-10-26€5MClub Atlético Tigre
2023-07-04€5.5MCA Boca Juniors
2023-10-04€7MCA Boca Juniors
2023-12-19€8MCA Boca Juniors
2024-03-11€9MCA Boca Juniors
2024-06-12€14MCA Boca Juniors
2024-12-13€12MAl-Qadsiah FC
2025-05-27€12MAl-Qadsiah FC
2025-10-14€25MBayer 04 Leverkusen
2025-12-19€25MBayer 04 Leverkusen
2026-03-20€22MBayer 04 Leverkusen
2026-05-27€20MBayer 04 Leverkusen

Audit context group-level, not about this player

Audit group
non-UEFA
Population gap, Model A
+0.093 95% CI +0.063 to +0.124
This player, market vs held-out A
+0.697

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 →

Bundesliga451 players · median €5M

Valued above 82% of the 451 Bundesliga players.

€300k€2M€15M€100M€20MSee them in the Explorer →

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

Valued above 88% of the 1,687 midfielders.

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

Where Fernández 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).