FairValue

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  • EnvironmentOverviewWhat FairValue measures, what it found, where to go next.
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Portrait of Eberechi Eze

Eberechi

Eze

AMEngland · Arsenal FC

№ 479999World Class €60.9M +0.07

Image: FootyLogos

Player dossierPremier League

EberechiEze

AMAttacking MidfieldMidfield

Club
Arsenal FC
League
Premier League
Nationality
England
Age
27
Height
178 cm
Foot
Right
Valued
3 Jun 2026

Reading the valuation

The market values Eze at €65M. Model A, which never saw Eze during training, estimates €60.9M: the market value is 7% above that estimate.

That is a factor of ×1.07. 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 €45.2M, 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.

▲ +0.07A €60.9M▲ +0.36B €45.2M
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
93
Minutes
6,397
Goals
22
Assists
16
Started
75/93
Min / app
69
Cards
3Y 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 Eze…

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 €65M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €65MModel A €60.9M

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

Eberechi Eze's percentiles among midfielders: Goals per 90 94th, Assists per 90 89th, Minutes, two years 96th, Starts 71st, Minutes, last 365 days 95th, European club minutes 74th94thGoals89thAssists96thMinutes71stStarts95thRecent74thEurope

Dashed ring: the midfielder median (50th percentile)

Minutes, two years

Total club minutes in the two-year window: how much the player was used.

6,397 this player2,607 midfielder median96th percentile

451peer deciles · median line · this player ●9,624

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
€100k
Feb 2018
Peak
€65M
Oct 2025
Model target
€65M
Jun 2026
Valuations
25
2 club changes
Jun 2026€65MArsenal FCValuation the model is trained to reproduce

Jun 2026: €65M, Arsenal FC. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2018-02-27€100kQueens Park Rangers
2018-09-24€1.5MQueens Park Rangers
2019-02-27€3.5MQueens Park Rangers
2019-06-28€3.5MQueens Park Rangers
2019-10-17€5MQueens Park Rangers
2020-02-27€10MQueens Park Rangers
2020-04-08€9MQueens Park Rangers
2020-10-13€18MCrystal Palace
2021-03-18€20MCrystal Palace
2021-06-08€20MCrystal Palace
2021-12-23€20MCrystal Palace
2022-06-15€22MCrystal Palace
2022-09-15€25MCrystal Palace
2022-11-03€30MCrystal Palace
2023-06-20€40MCrystal Palace
2023-10-09€48MCrystal Palace
2023-12-19€48MCrystal Palace
2024-05-27€55MCrystal Palace
2024-10-01€60MCrystal Palace
2024-12-16€55MCrystal Palace
2025-05-30€55MCrystal Palace
2025-10-17€65MArsenal FC
2025-12-09€65MArsenal FC
2026-03-09€60MArsenal FC
2026-06-03€65MArsenal 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
+0.066

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 93% of the 555 Premier League players.

€150k€1M€7.5M€50M€65MSee them in the Explorer →

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

Valued above 98% of the 1,687 midfielders.

€20k€200k€2M€20M€65MSee them in the Explorer →

Where Eze 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).