FairValue

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  • EnvironmentOverviewWhat FairValue measures, what it found, where to go next.
  • EnvironmentTerminalExplore, compare and track players; market, league and model views.
  • EnvironmentStoriesValuations, head-to-heads and research findings, told as stories.
  • TerminalPlayer ExplorerSearch, filter and sort the player export.
  • TerminalComparison StudioTwo to four players on one scale.
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  • TerminalMarket LandscapeHow observed value is distributed, and where the model drifts.

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Bence

Dárdai

AMHungary · VfL Wolfsburg

№ 789252Established €4.9M +0.02

Player dossierBundesliga

BenceDárdai

AMAttacking MidfieldMidfield

Club
VfL Wolfsburg
League
Bundesliga
Nationality
Hungary
Age
20
Height
189 cm
Foot
Right
Valued
27 May 2026

Reading the valuation

The market values Dárdai at €5M. Model A, which never saw Dárdai during training, estimates €4.9M: the market value is 2% above 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 €1.2M, 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 €4.9M▲ +1.44B €1.2M
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
28
Minutes
1,595
Goals
1
Assists
3
Started
19/28
Min / app
57
Cards
1Y 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 Dárdai…

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 €5M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €5MModel A €4.9M

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

Bence Dárdai's percentiles among midfielders: Goals per 90 37th, Assists per 90 76th, Minutes, two years 27th, Starts 48th, Minutes, last 365 days 3rd, European club minutes 30th37thGoals76thAssists27thMinutes48thStarts3rdRecent30thEurope

Dashed ring: the midfielder median (50th percentile)

Assists per 90

Club assists per 90 minutes in the same window.

0.17 this player0.09 midfielder median76th percentile

0.00peer deciles · median line · this player ●0.74

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
€500k
Jul 2023
Peak
€12M
Jun 2025
Model target
€5M
May 2026
Valuations
10
1 club change
May 2026€5MVfL WolfsburgValuation the model is trained to reproduce

May 2026: €5M, VfL Wolfsburg. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2023-07-31€500kHertha BSC
2023-10-20€2MHertha BSC
2023-12-15€2MHertha BSC
2024-06-06€2MHertha BSC
2024-12-20€6MVfL Wolfsburg
2025-03-27€9MVfL Wolfsburg
2025-06-05€12MVfL Wolfsburg
2025-10-14€9MVfL Wolfsburg
2025-12-19€7MVfL Wolfsburg
2026-05-27€5MVfL Wolfsburg

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
+0.017

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 →

Bundesliga451 players · median €5M

Valued above 46% of the 451 Bundesliga players.

€300k€2M€15M€100M€5MSee them in the Explorer →

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

Valued above 65% of the 1,687 midfielders.

€20k€200k€2M€20M€5MSee them in the Explorer →

Where Dárdai 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).