FairValue

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

Diallo

CFSenegal · FC Metz

№ 344888Established €1.3M +1.16

Player dossierLigue 1

HabibDiallo

CFCentre-ForwardAttack

Club
FC Metz
League
Ligue 1
Nationality
Senegal
Age
30
Height
186 cm
Foot
Right
Valued
1 Jun 2026

Reading the valuation

The market values Diallo at €4M. Model A, which never saw Diallo during training, estimates €1.3M: the market value is 217% above that estimate.

That is a factor of ×3.17. 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 €1.2M, 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.

▲ +1.16A €1.3M▲ +1.19B €1.2M
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
25
Minutes
1,911
Goals
4
Assists
2
Started
21/25
Min / app
76
Cards
0Y 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 Diallo…

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 €4M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €4MModel A €1.3M

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

Habib Diallo's percentiles among attackers: Goals per 90 33rd, Assists per 90 29th, Minutes, two years 42nd, Starts 88th, Minutes, last 365 days 70th, European club minutes 28th33rdGoals29thAssists42ndMinutes88thStarts70thRecent28thEurope

Dashed ring: the attacker median (50th percentile)

Starts

Share of appearances started rather than entered from the bench.

84% this player59% attacker median88th percentile

5%peer deciles · median line · this player ●100%

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
€150k
Sept 2015
Peak
€18M
Jun 2023
Model target
€4M
Jun 2026
Valuations
28
6 club changes
Jun 2026€4MFC MetzValuation the model is trained to reproduce

Jun 2026: €4M, FC Metz. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2015-09-06€150kFC Metz
2016-02-04€200kFC Metz
2016-07-13€800kFC Metz
2017-01-16€1.3MFC Metz
2017-03-20€1.5MStade Brestois 29
2017-06-15€1.5MStade Brestois 29
2018-05-16€1.5MStade Brestois 29
2019-01-08€3.5MFC Metz
2019-06-03€4MFC Metz
2019-06-27€6MFC Metz
2019-12-19€10MFC Metz
2020-03-13€15MFC Metz
2020-04-08€12MFC Metz
2020-10-15€12MRC Strasbourg Alsace
2021-06-04€10MRC Strasbourg Alsace
2021-12-16€12MRC Strasbourg Alsace
2022-05-30€12MRC Strasbourg Alsace
2022-11-02€12MRC Strasbourg Alsace
2023-03-27€14MRC Strasbourg Alsace
2023-06-27€18MRC Strasbourg Alsace
2023-10-24€14MAl-Shabab FC
2023-12-15€12MAl-Shabab FC
2024-06-04€11MAl-Shabab FC
2024-12-13€8MDamac FC
2025-05-27€6.5MDamac FC
2025-10-10€6MFC Metz
2025-12-15€5MFC Metz
2026-06-01€4MFC Metz

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
+1.155

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 →

Ligue 1423 players · median €5M

Valued above 37% of the 423 Ligue 1 players.

€100k€750k€5M€30M€4MSee them in the Explorer →

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

Valued above 59% of the 1,583 attackers.

€20k€300k€5M€75M€4MSee them in the Explorer →

Where Diallo 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).