AlieuFadera

LWLeft WingerAttack

Club: US Sassuolo
League: Serie A
Nationality: The Gambia
Age: 24
Height: 182 cm
Foot: Right
Valued: 29 May 2026

Reading the valuation

The market values Fadera at €4.5M. Model A, which never saw Fadera during training, estimates €9.4M: the market value is 52% below that estimate.

That is a factor of ×2.09. 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 €2.4M, 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: 60
Minutes: 2,935
Goals: 3
Assists: 6
Started: 32/60
Min / app: 49
Cards: 8Y 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 Fadera…

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 €4.5M

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 1,583 attackers

Dashed ring: the attacker median (50th percentile)

Minutes, two years

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

2,935 this player2,242 attacker median66th percentile

450peer deciles · median line · this player ●8,788

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: €75k; Jul 2020
Peak: €5M; Oct 2024
Model target: €4.5M; May 2026
Valuations: 17; 4 club changes

May 2026€4.5MUS SassuoloValuation the model is trained to reproduce

May 2026: €4.5M, US Sassuolo. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table

Date	Market value	Club
2020-07-10	€75k	FK Pohronie
2020-12-28	€200k	FK Pohronie
2021-06-26	€300k	FK Pohronie
2021-10-06	€500k	Zulte Waregem
2022-01-06	€550k	Zulte Waregem
2022-04-12	€400k	Zulte Waregem
2022-09-07	€700k	Zulte Waregem
2022-11-04	€1.2M	Zulte Waregem
2023-03-22	€2M	Zulte Waregem
2023-06-09	€3M	Zulte Waregem
2023-12-19	€3M	KRC Genk
2024-06-04	€2.5M	KRC Genk
2024-10-18	€5M	Como 1907
2024-12-18	€5M	Como 1907
2025-06-17	€4.5M	Como 1907
2025-12-23	€4.5M	US Sassuolo
2026-05-29	€4.5M	US Sassuolo

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: −0.738

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 →

Serie A507 players · median €5.5M

Valued above 42% of the 507 Serie A players.

See them in the Explorer →

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

Valued above 63% of the 1,583 attackers.

See them in the Explorer →

Where Fadera appears

TerminalSerie A in the Player Explorer
TerminalSerie A 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).