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…

Karol

Mets

CBEstonia · FC St. Pauli

№ 139304Emerging €788k −0.27

Player dossierBundesliga

KarolMets

CBCentre-BackDefender

Club
FC St. Pauli
League
Bundesliga
Nationality
Estonia
Age
33
Height
191 cm
Foot
Left
Valued
27 May 2026

Reading the valuation

The market values Mets at €600k. Model A, which never saw Mets during training, estimates €788k: the market value is 24% below that estimate.

That is a factor of ×1.31. 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 €724k, 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.

▼ −0.27A €788k▼ −0.19B €724k
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
38
Minutes
3,314
Goals
1
Assists
0
Started
37/38
Min / app
87
Cards
6Y 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 Mets…

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 €600k

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €600kModel A €788k

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

Karol Mets's percentiles among defenders: Goals per 90 46th, Assists per 90 17th, Minutes, two years 59th, Starts 91st, Minutes, last 365 days 68th, European club minutes 30th46thGoals17thAssists59thMinutes91stStarts68thRecent30thEurope

Dashed ring: the defender median (50th percentile)

Starts

Share of appearances started rather than entered from the bench.

97% this player83% defender median91st percentile

18%peer deciles · median line · this player ●100%

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
€25k
Jan 2011
Peak
€1.3M
Mar 2024
Model target
€600k
May 2026
Valuations
34
7 club changes
May 2026€600kFC St. PauliValuation the model is trained to reproduce

May 2026: €600k, FC St. Pauli. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2011-01-20€25kFC Flora Tallinn
2011-05-01€50kFC Flora Tallinn
2011-11-07€100kFC Flora Tallinn
2012-06-30€200kFC Flora Tallinn
2013-01-27€250kFC Flora Tallinn
2013-11-25€275kFC Flora Tallinn
2014-07-01€350kFC Flora Tallinn
2014-11-11€350kFC Flora Tallinn
2015-12-27€400kViking FK
2016-12-18€400kViking FK
2017-10-26€500kNAC Breda
2018-01-17€500kNAC Breda
2018-06-12€500kNAC Breda
2018-12-28€500kNAC Breda
2019-06-28€1MAIK
2019-11-20€1.2MAIK
2020-04-08€950kAIK
2020-08-05€900kAIK
2021-01-31€900kAl-Ettifaq FC
2021-06-18€600kAl-Ettifaq FC
2021-12-08€500kCSKA-Sofia
2022-06-08€900kFC Zürich
2022-11-10€500kFC Zürich
2023-03-31€700kFC St. Pauli
2023-06-28€800kFC St. Pauli
2023-10-20€1MFC St. Pauli
2023-12-15€1MFC St. Pauli
2024-03-22€1.3MFC St. Pauli
2024-06-06€1.3MFC St. Pauli
2024-12-20€1.3MFC St. Pauli
2025-06-05€1.3MFC St. Pauli
2025-10-14€900kFC St. Pauli
2025-12-19€800kFC St. Pauli
2026-05-27€600kFC St. Pauli

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
−0.272

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 2% of the 451 Bundesliga players.

€300k€2M€15M€100M€600kSee them in the Explorer →

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

Valued above 22% of the 2,065 defenders.

€20k€200k€2M€20M€600kSee them in the Explorer →

Where Mets 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).