FairValue

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

Balikwisha

AMDR Congo · Oud-Heverlee Leuven

№ 381968Emerging €418k −0.33

Player dossierPro League

WilliamBalikwisha

AMAttacking MidfieldMidfield

Club
Oud-Heverlee Leuven
League
Pro League
Nationality
DR Congo
Age
27
Height
173 cm
Foot
Right
Valued
4 Jun 2026

Reading the valuation

The market values Balikwisha at €300k. Model A, which never saw Balikwisha during training, estimates €418k: the market value is 28% below that estimate.

That is a factor of ×1.39. 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 €623k, 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.

▼ −0.33A €418k▼ −0.73B €623k
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
36
Minutes
1,378
Goals
1
Assists
1
Started
15/36
Min / app
38
Cards
3Y 1R

Club matches, two years to the valuation date

The Valuation Journey

What moves Model A

Asking the prediction API to explain Model A for Balikwisha…

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 €300k

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €300kModel A €418k

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 1,687 midfielders

William Balikwisha's percentiles among midfielders: Goals per 90 41st, Assists per 90 36th, Minutes, two years 22nd, Starts 13th, Minutes, last 365 days 7th, European club minutes 30th41stGoals36thAssists22ndMinutes13thStarts7thRecent30thEurope

Dashed ring: the midfielder median (50th percentile)

Goals per 90

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

0.07 this player0.08 midfielder median41st percentile

0.00peer deciles · median line · this player ●0.93

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
€400k
Sept 2018
Peak
€4M
Jun 2023
Model target
€300k
Jun 2026
Valuations
24
4 club changes
Jun 2026€300kOud-Heverlee LeuvenValuation the model is trained to reproduce

Jun 2026: €300k, Oud-Heverlee Leuven. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2018-09-11€400kStandard Liège
2018-12-27€400kStandard Liège
2019-06-10€500kStandard Liège
2019-12-13€400kCercle Brugge
2020-04-08€350kMVV Maastricht
2020-06-29€325kMVV Maastricht
2020-10-16€300kStandard Liège
2021-06-07€300kStandard Liège
2022-01-06€200kStandard Liège
2022-04-12€150kStandard Liège
2022-09-07€500kStandard Liège
2022-11-04€2MStandard Liège
2023-03-22€3.5MStandard Liège
2023-06-09€4MStandard Liège
2023-10-23€3MStandard Liège
2023-12-19€2MStandard Liège
2024-06-04€2MStandard Liège
2024-12-11€2MOud-Heverlee Leuven
2025-03-26€1.5MOud-Heverlee Leuven
2025-06-12€1.2MOud-Heverlee Leuven
2025-10-01€900kOud-Heverlee Leuven
2025-12-10€600kOud-Heverlee Leuven
2026-03-13€400kOud-Heverlee Leuven
2026-06-04€300kOud-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
−0.332

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 3% of the 350 Pro League players.

€100k€750k€5M€30M€300kSee them in the Explorer →

Midfielders, all leagues1,687 players · median €2M

Valued above 7% of the 1,687 midfielders.

€20k€200k€2M€20M€300kSee them in the Explorer →

Where Balikwisha 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).