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…

Yaroslav

Mikhailov

CMRussia · Zenit St. Petersburg

№ 701937Emerging €1.7M −0.88

Player dossierPremier Liga

YaroslavMikhailov

CMCentral MidfieldMidfield

Club
Zenit St. Petersburg
League
Premier Liga
Nationality
Russia
Age
23
Height
182 cm
Foot
Left
Valued
26 May 2026

Reading the valuation

The market values Mikhailov at €700k. Model A, which never saw Mikhailov during training, estimates €1.7M: the market value is 58% below that estimate.

That is a factor of ×2.41. 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, 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.

▼ −0.88A €1.7M▼ −0.73B €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
35
Minutes
2,413
Goals
1
Assists
2
Started
27/35
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 Mikhailov…

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 €700k

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €700kModel A €1.7M

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

Yaroslav Mikhailov's percentiles among midfielders: Goals per 90 27th, Assists per 90 41st, Minutes, two years 46th, Starts 65th, Minutes, last 365 days 12th, European club minutes 30th27thGoals41stAssists46thMinutes65thStarts12thRecent30thEurope

Dashed ring: the midfielder median (50th percentile)

Starts

Share of appearances started rather than entered from the bench.

77% this player69% midfielder median65th percentile

7%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
€50k
Dec 2020
Peak
€800k
Nov 2022
Model target
€700k
May 2026
Valuations
14
4 club changes
May 2026€700kZenit St. PetersburgValuation the model is trained to reproduce

May 2026: €700k, Zenit St. Petersburg. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2020-12-29€50kZenit St. Petersburg II
2021-06-02€75kZenit St. Petersburg II
2021-10-13€300kFC Schalke 04
2021-12-15€300kFC Schalke 04
2022-06-16€300kFC Schalke 04
2022-11-21€800kFC Pari Nizhniy Novgorod
2023-06-14€800kFC Pari Nizhniy Novgorod
2023-12-13€700kFC Orenburg
2024-06-04€600kFC Orenburg
2024-09-18€800kFC Orenburg
2024-12-12€800kFC Orenburg
2025-06-04€800kFC Orenburg
2025-12-16€800kZenit St. Petersburg
2026-05-26€700kZenit St. Petersburg

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
−0.879

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 24% of the 412 Premier Liga players.

€50k€300k€2M€15M€700kSee them in the Explorer →

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

Valued above 23% of the 1,687 midfielders.

€20k€200k€2M€20M€700kSee them in the Explorer →

Where Mikhailov 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).