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…

Artem

Shulyanskyi

LWUkraine · FC Oleksandriya

№ 261780Emerging €153k +0.27

Player dossierPremier Liha

ArtemShulyanskyi

LWLeft WingerAttack

Club
FC Oleksandriya
League
Premier Liha
Nationality
Ukraine
Age
25
Height
173 cm
Foot
Right
Valued
2 Jun 2026

Reading the valuation

The market values Shulyanskyi at €200k. Model A, which never saw Shulyanskyi during training, estimates €153k: the market value is 31% above that estimate.

That is a factor of ×1.31. 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 €519k, 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.

▲ +0.27A €153k▼ −0.95B €519k
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
10
Minutes
597
Goals
0
Assists
1
Started
7/10
Min / app
60
Cards
0Y 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 Shulyanskyi…

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 €153k

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 1,583 attackers

Artem Shulyanskyi's percentiles among attackers: Goals per 90 3rd, Assists per 90 52nd, Minutes, two years 6th, Starts 68th, Minutes, last 365 days 6th, European club minutes 28th3rdGoals52ndAssists6thMinutes68thStarts6thRecent28thEurope

Dashed ring: the attacker median (50th percentile)

Starts

Share of appearances started rather than entered from the bench.

70% this player59% attacker median68th percentile

5%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
Jul 2022
Peak
€600k
Jun 2024
Model target
€200k
Jun 2026
Valuations
9
1 club change
Jun 2026€200kFC OleksandriyaValuation the model is trained to reproduce

Jun 2026: €200k, FC Oleksandriya. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2022-07-01€100kDynamo Kyiv U19
2022-12-06€100kFC Oleksandriya
2023-06-21€200kFC Oleksandriya
2023-12-11€400kFC Oleksandriya
2024-06-06€600kFC Oleksandriya
2024-12-17€500kFC Oleksandriya
2025-06-10€400kFC Oleksandriya
2025-12-18€200kFC Oleksandriya
2026-06-02€200kFC Oleksandriya

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
+0.267

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 10% of the 414 Premier Liha players.

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

Attackers, all leagues1,583 players · median €2.5M

Valued above 4% of the 1,583 attackers.

€20k€300k€5M€75M€200kSee them in the Explorer →

Where Shulyanskyi 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).