GiannisBouzoukis

AMAttacking MidfieldMidfield

Club: Volos NFC
League: Super League
Nationality: Greece
Age: 28
Height: 172 cm
Foot: Left
Valued: 4 Jun 2026

Reading the valuation

The market values Bouzoukis at €450k. Model A, which never saw Bouzoukis during training, estimates €719k: the market value is 37% below that estimate.

That is a factor of ×1.60. 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 €935k, 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: 52
Minutes: 2,890
Goals: 3
Assists: 3
Started: 35/52
Min / app: 56
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 Bouzoukis…

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 €450k

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 1,687 midfielders

Dashed ring: the midfielder median (50th percentile)

Minutes, two years

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

2,890 this player2,607 midfielder median56th percentile

451peer deciles · median line · this player ●9,624

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; Feb 2018
Peak: €1.5M; Aug 2020
Model target: €450k; Jun 2026
Valuations: 20; 3 club changes

Jun 2026€450kVolos NFCValuation the model is trained to reproduce

Jun 2026: €450k, Volos NFC. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table

Date	Market value	Club
2018-02-25	€50k	Panathinaikos
2018-05-22	€200k	Panathinaikos
2018-12-07	€600k	Panathinaikos
2019-02-07	€800k	Panathinaikos
2019-05-21	€1.3M	Panathinaikos
2019-12-18	€1.3M	Panathinaikos
2020-04-08	€1.1M	Panathinaikos
2020-08-04	€1.5M	Panathinaikos
2021-02-12	€1M	Panathinaikos
2021-11-01	€800k	Panathinaikos
2022-06-09	€700k	OFI Crete
2022-11-07	€500k	OFI Crete
2023-05-22	€450k	Panetolikos
2023-12-20	€400k	Panetolikos
2024-03-06	€350k	Panetolikos
2024-05-30	€300k	Panetolikos
2024-12-18	€350k	Panetolikos
2025-05-23	€450k	Panetolikos
2025-12-12	€450k	Volos NFC
2026-06-04	€450k	Volos NFC

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: −0.469

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 →

Super League356 players · median €600k

Valued above 35% of the 356 Super League players.

See them in the Explorer →

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

Valued above 15% of the 1,687 midfielders.

See them in the Explorer →

Where Bouzoukis appears

TerminalSuper League in the Player Explorer
TerminalSuper League 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).