FairValue

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

Kaba

CFGuinea · Oud-Heverlee Leuven

№ 355689Emerging €765k +0.27

Player dossierPro League

SoryKaba

CFCentre-ForwardAttack

Club
Oud-Heverlee Leuven
League
Pro League
Nationality
Guinea
Age
30
Height
191 cm
Foot
Right
Valued
4 Jun 2026

Reading the valuation

The market values Kaba at €1M. Model A, which never saw Kaba during training, estimates €765k: the market value is 31% above that estimate.

That is a factor of ×1.31. 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 €706k, 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.

▲ +0.27A €765k▲ +0.35B €706k
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
1,595
Goals
6
Assists
2
Started
16/30
Min / app
53
Cards
6Y 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 Kaba…

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 €1M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €1MModel A €765k

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

Sory Kaba's percentiles among attackers: Goals per 90 65th, Assists per 90 37th, Minutes, two years 34th, Starts 40th, Minutes, last 365 days 60th, European club minutes 28th65thGoals37thAssists34thMinutes40thStarts60thRecent28thEurope

Dashed ring: the attacker median (50th percentile)

Goals per 90

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

0.34 this player0.26 attacker median65th 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
Aug 2017
Peak
€3M
Jun 2021
Model target
€1M
Jun 2026
Valuations
23
8 club changes
Jun 2026€1MOud-Heverlee LeuvenValuation the model is trained to reproduce

Jun 2026: €1M, Oud-Heverlee Leuven. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2017-08-17€100kElche CF
2018-01-01€300kElche CF
2018-09-17€400kElche CF
2018-10-10€800kElche CF
2019-01-17€2MElche CF
2019-06-03€2MDijon FCO
2019-12-22€2MFC Midtjylland
2020-04-08€1.6MFC Midtjylland
2020-07-31€2MFC Midtjylland
2020-12-23€2.5MFC Midtjylland
2021-06-04€3MFC Midtjylland
2022-01-06€2.4MOud-Heverlee Leuven
2022-04-12€2.5MOud-Heverlee Leuven
2022-12-22€2.5MFC Midtjylland
2023-06-01€2.8MCardiff City
2023-10-13€2MUD Las Palmas
2023-12-22€1.8MUD Las Palmas
2024-06-07€1.5MUD Las Palmas
2024-10-14€1MElche CF
2024-12-13€1MElche CF
2025-06-24€1MElche CF
2025-12-10€1.3MOud-Heverlee Leuven
2026-06-04€1MOud-Heverlee Leuven

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
+0.267

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 →

Pro League350 players · median €1.8M

Valued above 27% of the 350 Pro League players.

€100k€750k€5M€30M€1MSee them in the Explorer →

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

Valued above 29% of the 1,583 attackers.

€20k€300k€5M€75M€1MSee them in the Explorer →

Where Kaba 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).