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Aleksandr

Sobolev

CFRussia · Zenit St. Petersburg

№ 464259Established €7.1M −0.01

Player dossierPremier Liga

AleksandrSobolev

CFCentre-ForwardAttack

Club
Zenit St. Petersburg
League
Premier Liga
Nationality
Russia
Age
29
Height
195 cm
Foot
Right
Valued
26 May 2026

Reading the valuation

The market values Sobolev at €7M. Model A, which never saw Sobolev during training, estimates €7.1M: the market value is 1% below that estimate.

That is a factor of ×1.01. 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 €8.1M, 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.

▼ −0.01A €7.1M▼ −0.15B €8.1M
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
70
Minutes
3,440
Goals
20
Assists
6
Started
38/70
Min / app
49
Cards
8Y 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 Sobolev…

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 €7M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €7MModel A €7.1M

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

Aleksandr Sobolev's percentiles among attackers: Goals per 90 90th, Assists per 90 54th, Minutes, two years 73rd, Starts 42nd, Minutes, last 365 days 76th, European club minutes 28th90thGoals54thAssists73rdMinutes42ndStarts76thRecent28thEurope

Dashed ring: the attacker median (50th percentile)

Goals per 90

Club goals per 90 minutes played in the two years to the valuation date.

0.52 this player0.26 attacker median90th percentile

0.00peer deciles · median line · this player ●1.17

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 2016
Peak
€11M
May 2021
Model target
€7M
May 2026
Valuations
26
6 club changes
May 2026€7MZenit St. PetersburgValuation the model is trained to reproduce

May 2026: €7M, Zenit St. Petersburg. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2016-12-02€50kTom Tomsk II
2017-06-01€200kTom Tomsk
2017-12-06€350kTom Tomsk
2018-06-06€800kKrylya Sovetov Samara
2018-12-20€1MKrylya Sovetov Samara
2019-06-14€1.2MEnisey Krasnoyarsk
2019-09-10€2MKrylya Sovetov Samara
2019-12-23€4.5MKrylya Sovetov Samara
2020-04-08€3.5MSpartak Moscow
2020-07-29€4.5MSpartak Moscow
2020-10-19€6MSpartak Moscow
2020-12-29€6MSpartak Moscow
2021-04-13€9MSpartak Moscow
2021-05-26€11MSpartak Moscow
2021-09-15€10MSpartak Moscow
2021-12-29€9MSpartak Moscow
2022-06-02€8MSpartak Moscow
2022-11-21€9MSpartak Moscow
2023-06-14€9MSpartak Moscow
2023-12-13€8MSpartak Moscow
2024-06-04€7.5MSpartak Moscow
2024-12-12€6MZenit St. Petersburg
2025-06-04€6MZenit St. Petersburg
2025-12-16€5MZenit St. Petersburg
2026-03-25€6MZenit St. Petersburg
2026-05-26€7MZenit 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
−0.012

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 90% of the 412 Premier Liga players.

€50k€300k€2M€15M€7MSee them in the Explorer →

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

Valued above 70% of the 1,583 attackers.

€20k€300k€5M€75M€7MSee them in the Explorer →

Where Sobolev 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).