OleksandrVivdych

CFCentre-ForwardAttack

Club: SC Poltava
League: Premier Liha
Nationality: Ukraine
Age: 23
Height: 180 cm
Foot: Right
Valued: 2 Jun 2026

Reading the valuation

The market values Vivdych at €300k. Model A, which never saw Vivdych during training, estimates €349k: the market value is 14% below that estimate.

That is a factor of ×1.16. 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 €2M, 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.

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: 25
Minutes: 1,613
Goals: 0
Assists: 2
Started: 19/25
Min / app: 65
Cards: 1Y 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 Vivdych…

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 €300k

Checking API

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

Dashed ring: the attacker median (50th percentile)

Starts

Share of appearances started rather than entered from the bench.

76% this player59% attacker median77th 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; Dec 2022
Peak: €300k; Dec 2025
Model target: €300k; Jun 2026
Valuations: 8; 1 club change

Jun 2026€300kSC PoltavaValuation the model is trained to reproduce

Jun 2026: €300k, SC Poltava. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table

Date	Market value	Club
2022-12-06	€100k	Kremin Kremenchuk
2023-06-21	€100k	Kremin Kremenchuk
2023-12-11	€175k	SC Poltava
2024-06-06	€175k	SC Poltava
2024-12-17	€150k	SC Poltava
2025-06-10	€100k	SC Poltava
2025-12-18	€300k	SC Poltava
2026-06-02	€300k	SC Poltava

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: −0.150

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 27% of the 414 Premier Liha players.

See them in the Explorer →

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

Valued above 8% of the 1,583 attackers.

See them in the Explorer →

Where Vivdych appears

TerminalPremier Liha in the Player Explorer
TerminalPremier Liha on the League Landscape

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).