FairValue

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

Gulácsi

GKHungary · RB Leipzig

№ 57071Emerging €2.7M −1.00

Player dossierBundesliga

PéterGulácsi

GKGoalkeeperGoalkeeper

Club
RB Leipzig
League
Bundesliga
Nationality
Hungary
Age
36
Height
193 cm
Foot
Right
Valued
27 May 2026

Reading the valuation

The market values Gulácsi at €1M. Model A, which never saw Gulácsi during training, estimates €2.7M: the market value is 63% below that estimate.

That is a factor of ×2.73. Model A's typical held-out miss is ×1.50 either way, so this gap is larger than its usual error.

Without league and club, Model B estimates €1.2M, 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.

▼ −1.00A €2.7M▼ −0.22B €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
60
Minutes
5,271
Started
60/60
Min / app
88
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 Gulácsi…

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 €1M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €1MModel A €2.7M

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 485 goalkeepers

Péter Gulácsi's percentiles among goalkeepers: Minutes, two years 79th, Starts 62nd, Minutes, last 365 days 59th, European club minutes 73rd79thMinutes62ndStarts59thRecent73rdEurope

Dashed ring: the goalkeeper median (50th percentile)

Minutes, two years

Total club minutes in the two-year window: how much the player was used.

5,271 this player2,790 goalkeeper median79th percentile

450peer deciles · median line · this player ●9,210

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
€300k
Jun 2013
Peak
€13M
Jun 2021
Model target
€1M
May 2026
Valuations
36
2 club changes
May 2026€1MRB LeipzigValuation the model is trained to reproduce

May 2026: €1M, RB Leipzig. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2013-06-10€300kLiverpool FC
2013-07-30€600kRed Bull Salzburg
2013-09-16€1MRed Bull Salzburg
2013-12-27€1.8MRed Bull Salzburg
2014-06-20€2MRed Bull Salzburg
2015-01-11€1.8MRed Bull Salzburg
2015-06-17€1.8MRed Bull Salzburg
2015-10-22€800kRB Leipzig
2016-02-11€500kRB Leipzig
2016-06-01€700kRB Leipzig
2016-07-22€700kRB Leipzig
2016-10-13€1.5MRB Leipzig
2017-02-07€2.5MRB Leipzig
2017-06-19€3MRB Leipzig
2017-10-18€4MRB Leipzig
2017-12-28€4.5MRB Leipzig
2018-04-04€8MRB Leipzig
2018-06-05€8MRB Leipzig
2018-12-18€10MRB Leipzig
2019-06-05€12MRB Leipzig
2019-12-17€12MRB Leipzig
2020-04-08€9.5MRB Leipzig
2020-09-16€11MRB Leipzig
2021-02-10€12MRB Leipzig
2021-06-01€13MRB Leipzig
2021-12-22€11MRB Leipzig
2022-06-09€8MRB Leipzig
2022-11-09€6MRB Leipzig
2023-06-22€5MRB Leipzig
2023-10-18€3.5MRB Leipzig
2023-12-14€3.5MRB Leipzig
2024-05-29€3MRB Leipzig
2024-12-20€2.5MRB Leipzig
2025-06-05€2MRB Leipzig
2025-12-19€2MRB Leipzig
2026-05-27€1MRB Leipzig

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
−1.004

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 7% of the 451 Bundesliga players.

€300k€2M€15M€100M€1MSee them in the Explorer →

Goalkeepers, all leagues485 players · median €1M

Valued above 48% of the 485 goalkeepers.

€20k€200k€2M€20M€1MSee them in the Explorer →

Where Gulácsi 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).