FairValue

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

Serdar

CMGermany · Hellas Verona

№ 261905Established €2.6M +0.08

Player dossierSerie A

SuatSerdar

CMCentral MidfieldMidfield

Club
Hellas Verona
League
Serie A
Nationality
Germany
Age
29
Height
184 cm
Foot
Right
Valued
29 May 2026

Reading the valuation

The market values Serdar at €2.8M. Model A, which never saw Serdar during training, estimates €2.6M: the market value is 9% above that estimate.

That is a factor of ×1.09. 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 €1M, 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.

▲ +0.08A €2.6M▲ +1.02B €1M
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
43
Minutes
2,578
Goals
4
Assists
2
Started
29/43
Min / app
60
Cards
8Y 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 Serdar…

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 €2.8M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €2.8MModel A €2.6M

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

Suat Serdar's percentiles among midfielders: Goals per 90 69th, Assists per 90 39th, Minutes, two years 50th, Starts 47th, Minutes, last 365 days 39th, European club minutes 30th69thGoals39thAssists50thMinutes47thStarts39thRecent30thEurope

Dashed ring: the midfielder median (50th percentile)

Goals per 90

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

0.14 this player0.08 midfielder median69th 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
€50k
Aug 2015
Peak
€25M
Mar 2020
Model target
€2.8M
May 2026
Valuations
30
3 club changes
May 2026€2.8MHellas VeronaValuation the model is trained to reproduce

May 2026: €2.8M, Hellas Verona. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2015-08-07€50k1.FSV Mainz 05
2016-02-15€300k1.FSV Mainz 05
2016-07-22€500k1.FSV Mainz 05
2016-10-13€1M1.FSV Mainz 05
2017-02-07€1.5M1.FSV Mainz 05
2017-06-19€1.5M1.FSV Mainz 05
2017-12-28€3M1.FSV Mainz 05
2018-06-05€7.5M1.FSV Mainz 05
2018-08-22€11MFC Schalke 04
2018-12-18€11MFC Schalke 04
2019-06-05€13MFC Schalke 04
2019-12-17€20MFC Schalke 04
2020-03-11€25MFC Schalke 04
2020-04-08€20MFC Schalke 04
2021-02-10€15MFC Schalke 04
2021-03-31€11MFC Schalke 04
2021-06-09€9MFC Schalke 04
2021-12-22€12MHertha BSC
2022-03-24€9MHertha BSC
2022-06-09€8MHertha BSC
2022-11-09€8MHertha BSC
2023-03-29€6.5MHertha BSC
2023-06-22€4.5MHertha BSC
2023-12-20€4MHellas Verona
2024-06-05€5MHellas Verona
2024-12-18€5MHellas Verona
2025-06-17€4.5MHellas Verona
2025-12-23€4.5MHellas Verona
2026-03-24€3.5MHellas Verona
2026-05-29€2.8MHellas Verona

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
+0.082

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 28% of the 507 Serie A players.

€100k€750k€5M€30M€2.8MSee them in the Explorer →

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

Valued above 55% of the 1,687 midfielders.

€20k€200k€2M€20M€2.8MSee them in the Explorer →

Where Serdar 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).