FilipBainovic

CMCentral MidfieldMidfield

Club: OFI Crete
League: Super League
Nationality: Serbia
Age: 29
Height: 178 cm
Foot: Right
Valued: 4 Jun 2026

Reading the valuation

The market values Bainovic at €200k. Model A, which never saw Bainovic during training, estimates €591k: the market value is 66% below that estimate.

That is a factor of ×2.96. 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 €789k, 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: 22
Minutes: 1,143
Goals: 1
Assists: 1
Started: 13/22
Min / app: 52
Cards: 6Y 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 Bainovic…

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 €200k

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)

European club minutes

Share of minutes played in UEFA club competitions.

17% this player0% midfielder median80th percentile

0%peer deciles · median line · this player ●85%

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; Nov 2015
Peak: €400k; Jun 2019
Model target: €200k; Jun 2026
Valuations: 21; 9 club changes

Jun 2026€200kOFI CreteValuation the model is trained to reproduce

Jun 2026: €200k, OFI Crete. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table

Date	Market value	Club
2015-11-23	€100k	OFK Zarkovo
2016-05-29	€100k	OFK Zarkovo
2017-05-04	€200k	FK Rad
2018-01-10	€200k	Red Star Belgrade
2018-07-02	€200k	Red Star Belgrade
2019-01-14	€300k	FK Rad
2019-06-09	€400k	FK Rad
2020-01-15	€250k	Górnik Zabrze
2020-08-18	€300k	Górnik Zabrze
2021-01-19	€250k	Górnik Zabrze
2021-06-12	€300k	FK Radnik Surdulica
2021-12-31	€200k	Górnik Zabrze
2022-06-23	€300k	AS Trencin
2022-12-16	€300k	AS Trencin
2023-06-21	€350k	AS Trencin
2023-12-27	€375k	Spartak Trnava
2024-06-07	€350k	Spartak Trnava
2024-12-18	€350k	OFI Crete
2025-05-23	€300k	OFI Crete
2025-12-12	€250k	OFI Crete
2026-06-04	€200k	OFI Crete

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: −1.084

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 10% of the 356 Super League players.

See them in the Explorer →

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

Valued above 3% of the 1,687 midfielders.

See them in the Explorer →

Where Bainovic 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).