FairValue

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Jeremy

Bokila

CFDR Congo · Livingston FC

№ 56490Emerging €66k −0.97

Player dossierPremiership

JeremyBokila

CFCentre-ForwardAttack

Club
Livingston FC
League
Premiership
Nationality
DR Congo
Age
37
Height
188 cm
Foot
Left
Valued
20 May 2026

Reading the valuation

The market values Bokila at €25k. Model A, which never saw Bokila during training, estimates €66k: the market value is 62% below that estimate.

That is a factor of ×2.64. 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 €175k, 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.

▼ −0.97A €66k▼ −1.95B €175k
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
55
Minutes
2,430
Goals
9
Assists
2
Started
23/55
Min / app
44
Cards
10Y 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 Bokila…

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 €25k

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €25kModel A €66k

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

Jeremy Bokila's percentiles among attackers: Goals per 90 64th, Assists per 90 22nd, Minutes, two years 54th, Starts 23rd, Minutes, last 365 days 34th, European club minutes 28th64thGoals22ndAssists54thMinutes23rdStarts34thRecent28thEurope

Dashed ring: the attacker median (50th percentile)

Goals per 90

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

0.33 this player0.26 attacker median64th 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
Jan 2008
Peak
€2.8M
Jun 2013
Model target
€25k
May 2026
Valuations
33
13 club changes
May 2026€25kLivingston FCValuation the model is trained to reproduce

May 2026: €25k, Livingston FC. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2008-01-16€100kAGOVV Apeldoorn
2008-08-14€175kAGOVV Apeldoorn
2009-06-14€300kAGOVV Apeldoorn
2010-06-03€350kAGOVV Apeldoorn
2011-01-10€350kZulte Waregem
2012-08-21€450kPetrolul Ploiesti
2012-12-12€1.3MPetrolul Ploiesti
2013-06-05€2.8MPetrolul Ploiesti
2013-09-13€2MTerek Grozny
2014-03-28€1.5MTerek Grozny
2014-07-31€1.5MTerek Grozny
2015-02-23€1.5MTerek Grozny
2015-06-18€1.5MTerek Grozny
2015-07-07€1.2MGuangzhou R&F
2015-11-01€800kGuangzhou R&F
2016-04-07€600kEskisehirspor
2016-12-21€400kAl-Kharaitiyat SC
2017-06-09€200kAkhisar Belediyespor
2017-12-27€200kFC Dinamo 1948
2018-03-24€100kFC Dinamo 1948
2018-06-14€50kFC Dinamo 1948
2019-01-04€150kAkhisarspor
2019-06-04€200kAkhisarspor
2020-02-04€200kKeciörengücü
2021-04-10€150kOakland Roots SC
2021-11-25€150kOakland Roots SC
2023-07-04€150kWillem II Tilburg
2024-01-08€150kWillem II Tilburg
2024-06-10€125kWillem II Tilburg
2024-12-17€100kWillem II Tilburg
2025-05-28€100kWillem II Tilburg
2025-12-10€50kLivingston FC
2026-05-20€25kLivingston 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
−0.969

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 →

Premiership311 players · median €400k

The joint lowest observed value among 311 Premiership players.

€20k€150k€1M€7.5M€25kSee them in the Explorer →

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

The joint lowest observed value among 1,583 attackers.

€20k€300k€5M€75M€25kSee them in the Explorer →

Where Bokila 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).