FairValue

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

Terekhovskiy

GKRussia · Akron Tolyatti

№ 1038622Emerging €356k +0.12

Player dossierPremier Liga

IgnatTerekhovskiy

GKGoalkeeperGoalkeeper

Club
Akron Tolyatti
League
Premier Liga
Nationality
Russia
Age
20
Height
192 cm
Foot
Left
Valued
26 May 2026

Reading the valuation

The market values Terekhovskiy at €400k. Model A, which never saw Terekhovskiy during training, estimates €356k: the market value is 12% above that estimate.

That is a factor of ×1.12. 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 €561k, 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.

▲ +0.12A €356k▼ −0.34B €561k
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
6
Minutes
540
Started
6/6
Min / app
90
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 Terekhovskiy…

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 €400k

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €400kModel A €356k

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 485 goalkeepers

Ignat Terekhovskiy's percentiles among goalkeepers: Minutes, two years 4th, Starts 62nd, Minutes, last 365 days 21st, European club minutes 32nd4thMinutes62ndStarts21stRecent32ndEurope

Dashed ring: the goalkeeper median (50th percentile)

Starts

Share of appearances started rather than entered from the bench.

100% this player100% goalkeeper median62nd percentile

70%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
Sept 2025
Peak
€400k
May 2026
Model target
€400k
May 2026
Valuations
4
1 club change
May 2026€400kAkron TolyattiValuation the model is trained to reproduce

May 2026: €400k, Akron Tolyatti. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2025-09-18€100kAkron-2 Togliatti
2025-12-16€100kAkron-2 Togliatti
2026-03-25€300kAkron Tolyatti
2026-05-26€400kAkron Tolyatti

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
+0.116

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 10% of the 412 Premier Liga players.

€50k€300k€2M€15M€400kSee them in the Explorer →

Goalkeepers, all leagues485 players · median €1M

Valued above 21% of the 485 goalkeepers.

€20k€200k€2M€20M€400kSee them in the Explorer →

Where Terekhovskiy 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).