FairValue

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

Okereke

CFNigeria · US Cremonese

№ 413605Emerging €3.1M −0.80

Player dossierSerie A

DavidOkereke

CFCentre-ForwardAttack

Club
US Cremonese
League
Serie A
Nationality
Nigeria
Age
28
Height
181 cm
Foot
Right
Valued
29 May 2026

Reading the valuation

The market values Okereke at €1.4M. Model A, which never saw Okereke during training, estimates €3.1M: the market value is 55% below that estimate.

That is a factor of ×2.23. 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 €1.8M, 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.

▼ −0.80A €3.1M▼ −0.23B €1.8M
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
40
Minutes
2,509
Goals
11
Assists
3
Started
27/40
Min / app
63
Cards
4Y 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 Okereke…

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 €1.4M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €1.4MModel A €3.1M

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

David Okereke's percentiles among attackers: Goals per 90 76th, Assists per 90 35th, Minutes, two years 57th, Starts 64th, Minutes, last 365 days 11th, European club minutes 28th76thGoals35thAssists57thMinutes64thStarts11thRecent28thEurope

Dashed ring: the attacker median (50th percentile)

Goals per 90

Club goals per 90 minutes played in the two years to the valuation date.

0.39 this player0.26 attacker median76th percentile

0.00peer deciles · median line · this player ●1.17

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
Jun 2016
Peak
€11M
Sept 2019
Model target
€1.4M
May 2026
Valuations
29
9 club changes
May 2026€1.4MUS CremoneseValuation the model is trained to reproduce

May 2026: €1.4M, US Cremonese. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2016-06-07€100kSpezia Primavera
2016-12-19€250kSpezia Calcio
2017-06-09€250kSpezia Calcio
2017-12-21€300kSpezia Calcio
2018-06-21€350kCosenza Calcio
2019-01-17€2MSpezia Calcio
2019-06-05€6MSpezia Calcio
2019-09-13€11MClub Brugge KV
2019-12-13€10MClub Brugge KV
2020-02-11€7MClub Brugge KV
2020-04-08€5.5MClub Brugge KV
2020-10-16€4.5MClub Brugge KV
2021-01-04€4MClub Brugge KV
2021-03-17€3.5MClub Brugge KV
2021-06-07€2.8MClub Brugge KV
2021-12-28€5MVenezia FC
2022-06-07€4.5MVenezia FC
2022-11-11€4.3MUS Cremonese
2023-06-15€4MUS Cremonese
2023-10-11€3.2MUS Cremonese
2023-12-27€2.7MUS Cremonese
2024-06-05€2.4MTorino FC
2024-10-04€2.4MGaziantep FK
2024-12-23€2.4MGaziantep FK
2025-03-20€2.2MGaziantep FK
2025-06-18€2.2MGaziantep FK
2025-10-07€2MUS Cremonese
2025-12-23€1.5MUS Cremonese
2026-05-29€1.4MUS Cremonese

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
−0.801

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 →

Serie A507 players · median €5.5M

Valued above 14% of the 507 Serie A players.

€100k€750k€5M€30M€1.4MSee them in the Explorer →

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

Valued above 37% of the 1,583 attackers.

€20k€300k€5M€75M€1.4MSee them in the Explorer →

Where Okereke 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).