FairValue

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

Galiatsos

CBGreece · Panetolikos

№ 1076039Emerging €288k −0.36

Player dossierSuper League

DavidGaliatsos

CBCentre-BackDefender

Club
Panetolikos
League
Super League
Nationality
Greece
Age
20
Height
–
Foot
–
Valued
4 Jun 2026

Reading the valuation

The market values Galiatsos at €200k. Model A, which never saw Galiatsos during training, estimates €288k: the market value is 30% below 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 €211k, 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.

▼ −0.36A €288k▼ −0.05B €211k
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
9
Minutes
645
Goals
0
Assists
1
Started
7/9
Min / app
72
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 Galiatsos…

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 €200k

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €200kModel A €288k

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

David Galiatsos's percentiles among defenders: Goals per 90 18th, Assists per 90 86th, Minutes, two years 4th, Starts 40th, Minutes, last 365 days 17th, European club minutes 30th18thGoals86thAssists4thMinutes40thStarts17thRecent30thEurope

Dashed ring: the defender median (50th percentile)

Assists per 90

Club assists per 90 minutes in the same window.

0.14 this player0.04 defender median86th percentile

0.00peer deciles · median line · this player ●0.58

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
Sept 2025
Peak
€250k
Sept 2025
Model target
€200k
Jun 2026
Valuations
3
0 club changes
Jun 2026€200kPanetolikosValuation the model is trained to reproduce

Jun 2026: €200k, Panetolikos. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2025-09-23€250kPanetolikos
2025-12-12€250kPanetolikos
2026-06-04€200kPanetolikos

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
−0.363

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 →

Super League356 players · median €600k

Valued above 10% of the 356 Super League players.

€20k€150k€1M€7.5M€200kSee them in the Explorer →

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

Valued above 5% of the 2,065 defenders.

€20k€200k€2M€20M€200kSee them in the Explorer →

Where Galiatsos 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).