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…

Maksim

Paskotsi

CBEstonia · KAA Gent

№ 488298Established €3.9M −0.10

Player dossierPro League

MaksimPaskotsi

CBCentre-BackDefender

Club
KAA Gent
League
Pro League
Nationality
Estonia
Age
23
Height
188 cm
Foot
Right
Valued
4 Jun 2026

Reading the valuation

The market values Paskotsi at €3.5M. Model A, which never saw Paskotsi during training, estimates €3.9M: the market value is 9% below that estimate.

That is a factor of ×1.10. 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 €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.

▼ −0.10A €3.9M▲ +0.57B €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
22
Minutes
1,813
Goals
4
Assists
2
Started
22/22
Min / app
82
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 Paskotsi…

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 €3.5M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €3.5MModel A €3.9M

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 2,065 defenders

Maksim Paskotsi's percentiles among defenders: Goals per 90 98th, Assists per 90 77th, Minutes, two years 29th, Starts 97th, Minutes, last 365 days 55th, European club minutes 30th98thGoals77thAssists29thMinutes97thStarts55thRecent30thEurope

Dashed ring: the defender median (50th percentile)

Goals per 90

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

0.20 this player0.03 defender median98th percentile

0.00peer deciles · median line · this player ●0.41

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
€50k
Feb 2020
Peak
€3.5M
Mar 2026
Model target
€3.5M
Jun 2026
Valuations
13
3 club changes
Jun 2026€3.5MKAA GentValuation the model is trained to reproduce

Jun 2026: €3.5M, KAA Gent. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2020-02-25€50kFC Flora Tallinn
2020-07-21€50kFC Flora Tallinn
2021-03-27€200kTottenham Hotspur U18
2023-10-19€200kGrasshopper Club Zurich
2023-12-21€200kGrasshopper Club Zurich
2024-03-28€500kGrasshopper Club Zurich
2024-05-31€500kGrasshopper Club Zurich
2024-12-23€500kGrasshopper Club Zurich
2025-06-10€500kGrasshopper Club Zurich
2025-10-01€2MKAA Gent
2025-12-10€2.8MKAA Gent
2026-03-13€3.5MKAA Gent
2026-06-04€3.5MKAA Gent

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
−0.096

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 →

Pro League350 players · median €1.8M

Valued above 73% of the 350 Pro League players.

€100k€750k€5M€30M€3.5MSee them in the Explorer →

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

Valued above 63% of the 2,065 defenders.

€20k€200k€2M€20M€3.5MSee them in the Explorer →

Where Paskotsi 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).