FairValue

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Matej

Sin

AMCzech Republic · AZ Alkmaar

№ 724025Established €2.1M +0.37

Player dossierEredivisie

MatejSin

AMAttacking MidfieldMidfield

Club
AZ Alkmaar
League
Eredivisie
Nationality
Czech Republic
Age
21
Height
180 cm
Foot
–
Valued
28 May 2026

Reading the valuation

The market values Sin at €3M. Model A, which never saw Sin during training, estimates €2.1M: the market value is 44% above that estimate.

That is a factor of ×1.44. 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 €2.3M, 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.

▲ +0.37A €2.1M▲ +0.25B €2.3M
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
30
Minutes
1,307
Goals
3
Assists
3
Started
15/30
Min / app
44
Cards
2Y 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 Sin…

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 €3M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €3MModel A €2.1M

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 1,687 midfielders

Matej Sin's percentiles among midfielders: Goals per 90 84th, Assists per 90 85th, Minutes, two years 20th, Starts 21st, Minutes, last 365 days 33rd, European club minutes 99th84thGoals85thAssists20thMinutes21stStarts33rdRecent99thEurope

Dashed ring: the midfielder median (50th percentile)

European club minutes

Share of minutes played in UEFA club competitions.

52% this player0% midfielder median99th percentile

0%peer deciles · median line · this player ●85%

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
€250k
Jun 2023
Peak
€4.5M
Jun 2025
Model target
€3M
May 2026
Valuations
10
1 club change
May 2026€3MAZ AlkmaarValuation the model is trained to reproduce

May 2026: €3M, AZ Alkmaar. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2023-06-20€250kFC Banik Ostrava
2023-09-20€350kFC Banik Ostrava
2023-12-20€350kFC Banik Ostrava
2024-03-27€1MFC Banik Ostrava
2024-06-05€1.5MFC Banik Ostrava
2024-12-20€3MFC Banik Ostrava
2025-04-01€4MFC Banik Ostrava
2025-06-17€4.5MFC Banik Ostrava
2025-12-02€4MAZ Alkmaar
2026-05-28€3MAZ Alkmaar

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
+0.367

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 70% of the 425 Eredivisie players.

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

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

Valued above 56% of the 1,687 midfielders.

€20k€200k€2M€20M€3MSee them in the Explorer →

Where Sin 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).