FairValue

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

Sané

CBSenegal · FC Metz

№ 1111777Established €5.1M +0.31

Player dossierLigue 1

SadibouSané

CBCentre-BackDefender

Club
FC Metz
League
Ligue 1
Nationality
Senegal
Age
21
Height
184 cm
Foot
Right
Valued
1 Jun 2026

Reading the valuation

The market values Sané at €7M. Model A, which never saw Sané during training, estimates €5.1M: the market value is 36% above that estimate.

That is a factor of ×1.36. 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 €4.6M, 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.

▲ +0.31A €5.1M▲ +0.43B €4.6M
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
23
Minutes
1,941
Goals
2
Assists
1
Started
22/23
Min / app
84
Cards
5Y 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 Sané…

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 €7M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €7MModel A €5.1M

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

Sadibou Sané's percentiles among defenders: Goals per 90 84th, Assists per 90 55th, Minutes, two years 32nd, Starts 86th, Minutes, last 365 days 59th, European club minutes 30th84thGoals55thAssists32ndMinutes86thStarts59thRecent30thEurope

Dashed ring: the defender median (50th percentile)

Starts

Share of appearances started rather than entered from the bench.

96% this player83% defender median86th percentile

18%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 2023
Peak
€7M
Jun 2026
Model target
€7M
Jun 2026
Valuations
9
0 club changes
Jun 2026€7MFC MetzValuation the model is trained to reproduce

Jun 2026: €7M, FC Metz. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2023-09-11€150kFC Metz
2023-12-18€200kFC Metz
2024-06-03€800kFC Metz
2024-10-03€1MFC Metz
2024-12-04€1.5MFC Metz
2025-03-12€3MFC Metz
2025-06-02€5MFC Metz
2025-12-15€4MFC Metz
2026-06-01€7MFC 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
+0.310

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 54% of the 423 Ligue 1 players.

€100k€750k€5M€30M€7MSee them in the Explorer →

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

Valued above 76% of the 2,065 defenders.

€20k€200k€2M€20M€7MSee them in the Explorer →

Where Sané 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).