FairValue

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

John

CFTanzania · Aalborg BK

№ 666563Emerging €410k +0.60

Player dossierSuperliga

KelvinJohn

CFCentre-ForwardAttack

Club
Aalborg BK
League
Superliga
Nationality
Tanzania
Age
22
Height
175 cm
Foot
Right
Valued
18 Dec 2025

Reading the valuation

The market values John at €750k. Model A, which never saw John during training, estimates €410k: the market value is 83% above that estimate.

That is a factor of ×1.83. 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 €589k, 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.

▲ +0.60A €410k▲ +0.24B €589k
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
21
Minutes
779
Goals
2
Assists
1
Started
6/21
Min / app
37
Cards
1Y 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 John…

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 €750k

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €750kModel A €410k

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

Kelvin John's percentiles among attackers: Goals per 90 44th, Assists per 90 38th, Minutes, two years 12th, Starts 9th, Minutes, last 365 days 5th, European club minutes 28th44thGoals38thAssists12thMinutes9thStarts5thRecent28thEurope

Dashed ring: the attacker median (50th percentile)

Goals per 90

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

0.23 this player0.26 attacker median44th 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
Jul 2021
Peak
€750k
Dec 2025
Model target
€750k
Dec 2025
Valuations
11
3 club changes
Dec 2025€750kAalborg BKValuation the model is trained to reproduce

Dec 2025: €750k, Aalborg BK. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2021-07-23€100kKRC Genk U21
2022-04-12€200kKRC Genk
2022-10-05€300kKRC Genk
2022-12-22€300kKRC Genk
2023-05-30€350kKRC Genk
2023-10-02€450kJong Genk
2023-12-28€400kJong Genk
2024-06-20€350kJong Genk
2024-12-09€350kAalborg BK
2025-06-16€350kAalborg BK
2025-12-18€750kAalborg BK

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
+0.604

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 →

Superliga256 players · median €800k

Valued above 43% of the 256 Superliga players.

€20k€150k€1M€7.5M€750kSee them in the Explorer →

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

Valued above 24% of the 1,583 attackers.

€20k€300k€5M€75M€750kSee them in the Explorer →

Where John 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).