FairValue

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Portrait of Leo Sauer

Leo

Sauer

LWSlovakia · Feyenoord Rotterdam

№ 710886Established €10.8M −0.43

Image: FootyLogos

Player dossierEredivisie

LeoSauer

LWLeft WingerAttack

Club
Feyenoord Rotterdam
League
Eredivisie
Nationality
Slovakia
Age
20
Height
184 cm
Foot
Right
Valued
28 May 2026

Reading the valuation

The market values Sauer at €7M. Model A, which never saw Sauer during training, estimates €10.8M: the market value is 35% below that estimate.

That is a factor of ×1.54. 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 €8.9M, 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.

▼ −0.43A €10.8M▼ −0.24B €8.9M
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
61
Minutes
4,411
Goals
11
Assists
4
Started
53/61
Min / app
72
Cards
4Y 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 Sauer…

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 €10.8M

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

Leo Sauer's percentiles among attackers: Goals per 90 42nd, Assists per 90 24th, Minutes, two years 85th, Starts 91st, Minutes, last 365 days 67th, European club minutes 68th42ndGoals24thAssists85thMinutes91stStarts67thRecent68thEurope

Dashed ring: the attacker median (50th percentile)

Starts

Share of appearances started rather than entered from the bench.

87% this player59% attacker median91st 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
€75k
Jun 2022
Peak
€7M
Oct 2025
Model target
€7M
May 2026
Valuations
9
3 club changes
May 2026€7MFeyenoord RotterdamValuation the model is trained to reproduce

May 2026: €7M, Feyenoord Rotterdam. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2022-06-22€75kMSK Zilina U19
2023-10-17€3MFeyenoord Rotterdam
2023-12-15€5MFeyenoord Rotterdam
2024-05-31€5MFeyenoord Rotterdam
2024-12-17€5MNAC Breda
2025-05-28€5MNAC Breda
2025-10-02€7MFeyenoord Rotterdam
2025-12-02€7MFeyenoord Rotterdam
2026-05-28€7MFeyenoord Rotterdam

Audit context group-level, not about this player

Audit group
UEFA
Population gap, Model A
+0.093 95% CI +0.063 to +0.124
This player, market vs held-out A
−0.433

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 →

Eredivisie425 players · median €1M

Valued above 86% of the 425 Eredivisie players.

€75k€500k€3M€20M€7MSee them in the Explorer →

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

Valued above 70% of the 1,583 attackers.

€20k€300k€5M€75M€7MSee them in the Explorer →

Where Sauer 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).