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…

Nikita

Lobov

CBRussia · Rubin Kazan

№ 720281Emerging €1.3M −0.24

Player dossierPremier Liga

NikitaLobov

CBCentre-BackDefender

Club
Rubin Kazan
League
Premier Liga
Nationality
Russia
Age
20
Height
186 cm
Foot
Right
Valued
26 May 2026

Reading the valuation

The market values Lobov at €1M. Model A, which never saw Lobov during training, estimates €1.3M: the market value is 22% below that estimate.

That is a factor of ×1.28. 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 €890k, 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.

▼ −0.24A €1.3M▲ +0.12B €890k
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
17
Minutes
1,055
Goals
1
Assists
0
Started
11/17
Min / app
62
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 Lobov…

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 €1.3M

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

Nikita Lobov's percentiles among defenders: Goals per 90 82nd, Assists per 90 17th, Minutes, two years 13th, Starts 20th, Minutes, last 365 days 30th, European club minutes 30th82ndGoals17thAssists13thMinutes20thStarts30thRecent30thEurope

Dashed ring: the defender median (50th percentile)

Goals per 90

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

0.09 this player0.03 defender median82nd 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
Jun 2023
Peak
€1M
May 2026
Model target
€1M
May 2026
Valuations
9
2 club changes
May 2026€1MRubin KazanValuation the model is trained to reproduce

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

Show as a table
DateMarket valueClub
2023-06-14€50kZenit St. Petersburg II
2023-10-05€100kZenit St. Petersburg II
2023-12-13€100kZenit St. Petersburg II
2024-06-04€100kZenit 2 St. Petersburg
2024-11-22€150kZenit 2 St. Petersburg
2025-06-04€150kZenit 2 St. Petersburg
2025-09-18€300kRubin Kazan
2025-12-16€500kRubin Kazan
2026-05-26€1MRubin Kazan

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
−0.243

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 44% of the 412 Premier Liga players.

€50k€300k€2M€15M€1MSee them in the Explorer →

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

Valued above 35% of the 2,065 defenders.

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

Where Lobov 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).