FairValue

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

Varga

CFHungary · AEK Athens

№ 328573Established €4.1M −0.02

Player dossierSuper League

BarnabásVarga

CFCentre-ForwardAttack

Club
AEK Athens
League
Super League
Nationality
Hungary
Age
31
Height
185 cm
Foot
Right
Valued
4 Jun 2026

Reading the valuation

The market values Varga at €4M. Model A, which never saw Varga during training, estimates €4.1M: the market value is 2% below that estimate.

That is a factor of ×1.02. 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 €2.6M, 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.

▼ −0.02A €4.1M▲ +0.44B €2.6M
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
24
Minutes
1,656
Goals
15
Assists
3
Started
19/24
Min / app
69
Cards
3Y 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 Varga…

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 €4M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €4MModel A €4.1M

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 1,583 attackers

Barnabás Varga's percentiles among attackers: Goals per 90 99th, Assists per 90 56th, Minutes, two years 36th, Starts 82nd, Minutes, last 365 days 62nd, European club minutes 99th99thGoals56thAssists36thMinutes82ndStarts62ndRecent99thEurope

Dashed ring: the attacker median (50th percentile)

Goals per 90

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

0.82 this player0.26 attacker median99th percentile

0.00peer deciles · median line · this player ●1.17

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
€100k
Dec 2016
Peak
€4M
Mar 2026
Model target
€4M
Jun 2026
Valuations
22
6 club changes
Jun 2026€4MAEK AthensValuation the model is trained to reproduce

Jun 2026: €4M, AEK Athens. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2016-12-22€100kSV Mattersburg
2017-06-02€75kSV Mattersburg
2018-01-02€75kSV Mattersburg II (-2020)
2018-12-19€100kSV Mattersburg II (-2020)
2019-06-01€175kSV Lafnitz
2019-12-03€250kSV Lafnitz
2020-07-28€225kGyirmót FC Győr
2021-01-24€225kGyirmót FC Győr
2021-06-01€250kGyirmót FC Győr
2022-01-07€325kGyirmót FC Győr
2022-06-07€400kGyirmót FC Győr
2022-10-11€600kPaksi FC
2023-02-22€750kPaksi FC
2023-06-07€900kPaksi FC
2023-12-22€2MFerencvárosi TC
2024-05-23€2.5MFerencvárosi TC
2024-12-23€2.5MFerencvárosi TC
2025-05-28€2.2MFerencvárosi TC
2025-10-07€2.5MFerencvárosi TC
2025-12-08€3MFerencvárosi TC
2026-03-06€4MAEK Athens
2026-06-04€4MAEK Athens

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
−0.022

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 89% of the 356 Super League players.

€20k€150k€1M€7.5M€4MSee them in the Explorer →

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

Valued above 59% of the 1,583 attackers.

€20k€300k€5M€75M€4MSee them in the Explorer →

Where Varga 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).