FairValue

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  • EnvironmentOverviewWhat FairValue measures, what it found, where to go next.
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Chidera

Ejuke

LWNigeria · Sevilla FC

№ 500067Established €2.2M +0.60

Player dossierLaLiga

ChideraEjuke

LWLeft WingerAttack

Club
Sevilla FC
League
LaLiga
Nationality
Nigeria
Age
28
Height
176 cm
Foot
Right
Valued
5 Jun 2026

Reading the valuation

The market values Ejuke at €4M. Model A, which never saw Ejuke during training, estimates €2.2M: the market value is 82% above that estimate.

That is a factor of ×1.82. 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 €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.

▲ +0.60A €2.2M▲ +0.69B €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
54
Minutes
1,973
Goals
3
Assists
2
Started
16/54
Min / app
37
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 Ejuke…

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 €4M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €4MModel A €2.2M

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

Chidera Ejuke's percentiles among attackers: Goals per 90 20th, Assists per 90 28th, Minutes, two years 44th, Starts 10th, Minutes, last 365 days 38th, European club minutes 28th20thGoals28thAssists44thMinutes10thStarts38thRecent28thEurope

Dashed ring: the attacker median (50th percentile)

Minutes, two years

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

1,973 this player2,242 attacker median44th percentile

450peer deciles · median line · this player ●8,788

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
€300k
Dec 2017
Peak
€9M
Dec 2021
Model target
€4M
Jun 2026
Valuations
22
5 club changes
Jun 2026€4MSevilla FCValuation the model is trained to reproduce

Jun 2026: €4M, Sevilla FC. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2017-12-23€300kVålerenga Fotball Elite
2018-12-30€400kVålerenga Fotball Elite
2019-08-01€2MSC Heerenveen
2019-12-18€3MSC Heerenveen
2020-03-12€4.5MSC Heerenveen
2020-04-08€4MSC Heerenveen
2020-08-12€5.5MSC Heerenveen
2020-10-19€8MCSKA Moscow
2020-12-29€8MCSKA Moscow
2021-06-02€8MCSKA Moscow
2021-12-29€9MCSKA Moscow
2022-06-02€7.5MCSKA Moscow
2022-11-09€7.5MHertha BSC
2023-06-22€5.5MHertha BSC
2023-10-23€4.5MRoyal Antwerp FC
2023-12-19€5MRoyal Antwerp FC
2024-03-22€6MRoyal Antwerp FC
2024-06-04€6MRoyal Antwerp FC
2024-12-27€6MSevilla FC
2025-06-09€4MSevilla FC
2025-12-12€4MSevilla FC
2026-06-05€4MSevilla FC

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
+0.598

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 50% of the 509 LaLiga players.

€100k€1M€10M€100M€4MSee them in the Explorer →

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

Valued above 59% of the 1,583 attackers.

€20k€300k€5M€75M€4MSee them in the Explorer →

Where Ejuke 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).