FairValue

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  • EnvironmentOverviewWhat FairValue measures, what it found, where to go next.
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Ilya

Zhbanov

LMRussia · FC Rostov

№ 817830Emerging €410k −0.49

Player dossierPremier Liga

IlyaZhbanov

LMLeft MidfieldMidfield

Club
FC Rostov
League
Premier Liga
Nationality
Russia
Age
21
Height
187 cm
Foot
Right
Valued
26 May 2026

Reading the valuation

The market values Zhbanov at €250k. Model A, which never saw Zhbanov during training, estimates €410k: the market value is 39% below that estimate.

That is a factor of ×1.64. 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 €756k, 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.

▼ −0.49A €410k▼ −1.11B €756k
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
828
Goals
0
Assists
2
Started
9/17
Min / app
49
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 Zhbanov…

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 €250k

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €250kModel A €410k

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 1,687 midfielders

Ilya Zhbanov's percentiles among midfielders: Goals per 90 10th, Assists per 90 87th, Minutes, two years 9th, Starts 25th, Minutes, last 365 days 13th, European club minutes 30th10thGoals87thAssists9thMinutes25thStarts13thRecent30thEurope

Dashed ring: the midfielder median (50th percentile)

Assists per 90

Club assists per 90 minutes in the same window.

0.22 this player0.09 midfielder median87th percentile

0.00peer deciles · median line · this player ●0.74

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
Nov 2024
Peak
€300k
Sept 2025
Model target
€250k
May 2026
Valuations
5
1 club change
May 2026€250kFC RostovValuation the model is trained to reproduce

May 2026: €250k, FC Rostov. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2024-11-22€50kFC Rostov 2
2025-06-04€50kFC Rostov 2
2025-09-18€300kFC Rostov
2025-12-16€300kFC Rostov
2026-05-26€250kFC Rostov

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
−0.495

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 3% of the 412 Premier Liga players.

€50k€300k€2M€15M€250kSee them in the Explorer →

Midfielders, all leagues1,687 players · median €2M

Valued above 5% of the 1,687 midfielders.

€20k€200k€2M€20M€250kSee them in the Explorer →

Where Zhbanov 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).