JorisKayembe

LBLeft-BackDefender

Club: KRC Genk
League: Pro League
Nationality: DR Congo
Age: 31
Height: 180 cm
Foot: Left
Valued: 4 Jun 2026

Reading the valuation

The market values Kayembe at €2M. Model A, which never saw Kayembe during training, estimates €1.4M: the market value is 41% above that estimate.

That is a factor of ×1.41. 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 €2.3M, 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.

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: 68
Minutes: 5,336
Goals: 1
Assists: 2
Started: 59/68
Min / app: 78
Cards: 8Y 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 Kayembe…

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 €2M

Checking API

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 2,065 defenders

Dashed ring: the defender median (50th percentile)

Minutes, two years

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

5,336 this player2,860 defender median87th percentile

451peer deciles · median line · this player ●9,111

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: €500k; Feb 2014
Peak: €3.5M; Jan 2021
Model target: €2M; Jun 2026
Valuations: 26; 7 club changes

Jun 2026€2MKRC GenkValuation the model is trained to reproduce

Jun 2026: €2M, KRC Genk. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table

Date	Market value	Club
2014-02-20	€500k	FC Porto B
2015-02-17	€1M	FC Arouca
2015-07-01	€1.1M	FC Porto B
2016-02-24	€1.5M	Rio Ave FC
2016-09-30	€1.5M	FC Porto B
2017-06-30	€1M	FC Porto B
2018-01-24	€1M	FC Nantes
2018-06-04	€1M	FC Nantes
2018-12-17	€1M	FC Nantes
2019-06-03	€500k	FC Nantes
2019-12-19	€500k	FC Nantes
2020-03-30	€700k	Royal Charleroi SC
2020-04-08	€550k	Royal Charleroi SC
2020-10-16	€3M	Royal Charleroi SC
2021-01-04	€3.5M	Royal Charleroi SC
2021-06-07	€3M	Royal Charleroi SC
2022-01-06	€3M	Royal Charleroi SC
2022-04-12	€3M	Royal Charleroi SC
2022-11-04	€2.2M	Royal Charleroi SC
2023-06-09	€2.5M	Royal Charleroi SC
2023-12-19	€2.5M	KRC Genk
2024-06-04	€2.5M	KRC Genk
2024-12-11	€2.5M	KRC Genk
2025-06-12	€3M	KRC Genk
2025-12-10	€2.5M	KRC Genk
2026-06-04	€2M	KRC Genk

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: +0.345

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 50% of the 350 Pro League players.

See them in the Explorer →

Defenders, all leagues2,065 players · median €2M

Valued above 49% of the 2,065 defenders.

See them in the Explorer →

Where Kayembe appears

TerminalPro League in the Player Explorer
TerminalPro League on the League Landscape

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).