FairValue

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

Gusev

RBUkraine · FC Kudrivka

№ 955349Emerging €298k +0.52

Player dossierPremier Liha

OleksiyGusev

RBRight-BackDefender

Club
FC Kudrivka
League
Premier Liha
Nationality
Ukraine
Age
21
Height
187 cm
Foot
Right
Valued
2 Jun 2026

Reading the valuation

The market values Gusev at €500k. Model A, which never saw Gusev during training, estimates €298k: the market value is 68% above that estimate.

That is a factor of ×1.68. 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 €1.4M, 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.

▲ +0.52A €298k▼ −1.06B €1.4M
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
18
Minutes
1,246
Goals
0
Assists
2
Started
13/18
Min / app
69
Cards
4Y 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 Gusev…

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 €500k

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €500kModel A €298k

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

Oleksiy Gusev's percentiles among defenders: Goals per 90 18th, Assists per 90 87th, Minutes, two years 17th, Starts 30th, Minutes, last 365 days 33rd, European club minutes 30th18thGoals87thAssists17thMinutes30thStarts33rdRecent30thEurope

Dashed ring: the defender median (50th percentile)

Assists per 90

Club assists per 90 minutes in the same window.

0.14 this player0.04 defender median87th percentile

0.00peer deciles · median line · this player ●0.58

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 2024
Peak
€500k
Mar 2026
Model target
€500k
Jun 2026
Valuations
6
2 club changes
Jun 2026€500kFC KudrivkaValuation the model is trained to reproduce

Jun 2026: €500k, FC Kudrivka. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2024-09-12€100kZorya Lugansk
2024-12-17€100kZorya Lugansk
2025-06-10€50kMetalist 1925 Kharkiv
2025-12-18€250kFC Kudrivka
2026-03-23€500kFC Kudrivka
2026-06-02€500kFC Kudrivka

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
+0.517

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 Liha414 players · median €400k

Valued above 52% of the 414 Premier Liha players.

€50k€200k€1M€5M€500kSee them in the Explorer →

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

Valued above 19% of the 2,065 defenders.

€20k€200k€2M€20M€500kSee them in the Explorer →

Where Gusev 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).