FairValue

Checking model

Esc

  • 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.
  • TerminalWatchlistsNamed collections, kept in this browser.
  • TerminalMarket LandscapeHow observed value is distributed, and where the model drifts.

↑ ↓ to move · Enter to open · Esc to closeLoading player index…

Jiri

Pavlenka

GKCzech Republic · PAOK Thessaloniki

№ 260053Emerging €825k −0.16

Player dossierSuper League

JiriPavlenka

GKGoalkeeperGoalkeeper

Club
PAOK Thessaloniki
League
Super League
Nationality
Czech Republic
Age
34
Height
196 cm
Foot
Right
Valued
4 Jun 2026

Reading the valuation

The market values Pavlenka at €700k. Model A, which never saw Pavlenka during training, estimates €825k: the market value is 15% below that estimate.

That is a factor of ×1.18. 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 €637k, 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.

▼ −0.16A €825k▲ +0.10B €637k
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
2,421
Started
28/28
Min / app
86
Cards
0Y 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 Pavlenka…

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 €700k

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €700kModel A €825k

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

Jiri Pavlenka's percentiles among goalkeepers: Minutes, two years 45th, Starts 62nd, Minutes, last 365 days 60th, European club minutes 95th45thMinutes62ndStarts60thRecent95thEurope

Dashed ring: the goalkeeper median (50th percentile)

European club minutes

Share of minutes played in UEFA club competitions.

31% this player0% goalkeeper median95th percentile

0%peer deciles · median line · this player ●86%

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
Apr 2014
Peak
€12M
Mar 2019
Model target
€700k
Jun 2026
Valuations
33
3 club changes
Jun 2026€700kPAOK ThessalonikiValuation the model is trained to reproduce

Jun 2026: €700k, PAOK Thessaloniki. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2014-04-17€250kFC Banik Ostrava
2014-10-10€500kFC Banik Ostrava
2015-01-17€750kFC Banik Ostrava
2015-10-14€750kFC Banik Ostrava
2016-08-03€750kSK Slavia Prague
2016-10-16€900kSK Slavia Prague
2016-12-19€1MSK Slavia Prague
2017-04-15€1.3MSK Slavia Prague
2017-06-10€1.5MSK Slavia Prague
2017-10-18€3MSV Werder Bremen
2017-12-28€4.5MSV Werder Bremen
2018-04-04€7MSV Werder Bremen
2018-06-05€10MSV Werder Bremen
2018-12-18€10MSV Werder Bremen
2019-03-06€12MSV Werder Bremen
2019-06-05€12MSV Werder Bremen
2019-12-17€10MSV Werder Bremen
2020-03-11€8MSV Werder Bremen
2020-04-08€6.5MSV Werder Bremen
2021-02-10€6.5MSV Werder Bremen
2021-05-28€5.5MSV Werder Bremen
2021-10-13€2.5MSV Werder Bremen
2021-12-15€2.5MSV Werder Bremen
2022-06-16€3MSV Werder Bremen
2022-11-09€3MSV Werder Bremen
2023-06-22€3MSV Werder Bremen
2023-12-14€2MSV Werder Bremen
2024-03-27€1.5MSV Werder Bremen
2024-05-29€1.5MSV Werder Bremen
2024-12-18€1.2MPAOK Thessaloniki
2025-05-23€900kPAOK Thessaloniki
2025-12-12€800kPAOK Thessaloniki
2026-06-04€700kPAOK Thessaloniki

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
−0.164

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 55% of the 356 Super League players.

€20k€150k€1M€7.5M€700kSee them in the Explorer →

Goalkeepers, all leagues485 players · median €1M

Valued above 35% of the 485 goalkeepers.

€20k€200k€2M€20M€700kSee them in the Explorer →

Where Pavlenka 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).