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…

Denis

Popenkov

LBRussia · Akron Tolyatti

№ 1243089Emerging €366k −0.60

Player dossierPremier Liga

DenisPopenkov

LBLeft-BackDefender

Club
Akron Tolyatti
League
Premier Liga
Nationality
Russia
Age
19
Height
179 cm
Foot
Left
Valued
26 May 2026

Reading the valuation

The market values Popenkov at €200k. Model A, which never saw Popenkov during training, estimates €366k: the market value is 45% below that estimate.

That is a factor of ×1.83. 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 €397k, 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.

▼ −0.60A €366k▼ −0.68B €397k
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
6
Minutes
458
Goals
0
Assists
0
Started
5/6
Min / app
76
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 Popenkov…

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 €200k

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €200kModel A €366k

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

Denis Popenkov's percentiles among defenders: Goals per 90 18th, Assists per 90 17th, Minutes, two years 0th, Starts 52nd, Minutes, last 365 days 10th, European club minutes 30th18thGoals17thAssists0thMinutes52ndStarts10thRecent30thEurope

Dashed ring: the defender median (50th percentile)

Starts

Share of appearances started rather than entered from the bench.

83% this player83% defender median52nd 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
€100k
Sept 2025
Peak
€200k
May 2026
Model target
€200k
May 2026
Valuations
3
1 club change
May 2026€200kAkron TolyattiValuation the model is trained to reproduce

May 2026: €200k, Akron Tolyatti. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2025-09-18€100kAkron-2 Togliatti
2025-12-16€100kAkron-2 Togliatti
2026-05-26€200kAkron Tolyatti

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
−0.604

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 →

Premier Liga412 players · median €1M

Valued above 2% of the 412 Premier Liga players.

€50k€300k€2M€15M€200kSee them in the Explorer →

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

Valued above 5% of the 2,065 defenders.

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

Where Popenkov 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).