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…

Ivan

Oleynikov

RWRussia · Krylya Sovetov Samara

№ 371627Established €1.9M +0.08

Player dossierPremier Liga

IvanOleynikov

RWRight WingerAttack

Club
Krylya Sovetov Samara
League
Premier Liga
Nationality
Russia
Age
27
Height
178 cm
Foot
Right
Valued
26 May 2026

Reading the valuation

The market values Oleynikov at €2M. Model A, which never saw Oleynikov during training, estimates €1.9M: the market value is 8% above that estimate.

That is a factor of ×1.08. 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 €3M, 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.

▲ +0.08A €1.9M▼ −0.42B €3M
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
63
Minutes
4,040
Goals
13
Assists
10
Started
46/63
Min / app
64
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 Oleynikov…

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 €2M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €2MModel A €1.9M

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

Ivan Oleynikov's percentiles among attackers: Goals per 90 55th, Assists per 90 77th, Minutes, two years 82nd, Starts 73rd, Minutes, last 365 days 73rd, European club minutes 28th55thGoals77thAssists82ndMinutes73rdStarts73rdRecent28thEurope

Dashed ring: the attacker median (50th percentile)

Minutes, two years

Total club minutes in the two-year window: how much the player was used.

4,040 this player2,242 attacker median82nd percentile

450peer deciles · median line · this player ●8,788

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
Aug 2015
Peak
€2M
May 2026
Model target
€2M
May 2026
Valuations
27
6 club changes
May 2026€2MKrylya Sovetov SamaraValuation the model is trained to reproduce

May 2026: €2M, Krylya Sovetov Samara. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2015-08-25€50kAkademia CSKA Moscow U17
2016-12-02€75kCSKA Moscow II
2017-06-01€75kCSKA Moscow II
2017-10-02€100kCSKA Moscow II
2017-11-24€150kCSKA Moscow II
2018-06-06€200kCSKA Moscow II
2018-12-20€225kCSKA Moscow II
2019-06-14€300kFakel Voronezh
2019-12-23€450kShinnik Yaroslavl
2020-04-08€400kShinnik Yaroslavl
2020-06-29€400kShinnik Yaroslavl
2020-12-29€400kShinnik Yaroslavl
2021-05-24€400kChayka Peschanokopskoye
2021-12-03€400kChayka Peschanokopskoye
2022-06-13€450kChayka Peschanokopskoye
2022-11-21€900kAkhmat Grozny
2023-04-13€1.2MAkhmat Grozny
2023-06-14€1.2MAkhmat Grozny
2023-10-05€1.5MAkhmat Grozny
2023-12-13€1.5MAkhmat Grozny
2024-06-04€1.3MAkhmat Grozny
2024-09-18€1MKrylya Sovetov Samara
2024-12-12€1.2MKrylya Sovetov Samara
2025-06-04€1.4MKrylya Sovetov Samara
2025-09-18€1.5MKrylya Sovetov Samara
2025-12-16€1.5MKrylya Sovetov Samara
2026-05-26€2MKrylya Sovetov Samara

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
+0.076

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 65% of the 412 Premier Liga players.

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

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

Valued above 44% of the 1,583 attackers.

€20k€300k€5M€75M€2MSee them in the Explorer →

Where Oleynikov 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).