FairValue

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

Gajic

RBSerbia · CSKA Moscow

№ 245030Established €2.7M +0.25

Player dossierPremier Liga

MilanGajic

RBRight-BackDefender

Club
CSKA Moscow
League
Premier Liga
Nationality
Serbia
Age
30
Height
178 cm
Foot
Both
Valued
26 May 2026

Reading the valuation

The market values Gajic at €3.5M. Model A, which never saw Gajic during training, estimates €2.7M: the market value is 29% above that estimate.

That is a factor of ×1.29. 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 €2.1M, 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.

▲ +0.25A €2.7M▲ +0.51B €2.1M
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
69
Minutes
5,320
Goals
3
Assists
3
Started
60/69
Min / app
77
Cards
10Y 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 Gajic…

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 €3.5M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €3.5MModel A €2.7M

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 2,065 defenders

Milan Gajic's percentiles among defenders: Goals per 90 64th, Assists per 90 57th, Minutes, two years 87th, Starts 61st, Minutes, last 365 days 94th, European club minutes 30th64thGoals57thAssists87thMinutes61stStarts94thRecent30thEurope

Dashed ring: the defender median (50th percentile)

Minutes, last 365 days

Club minutes in the final year of the window: recent involvement, or the absence of it.

3,308 this player1,687 defender median94th percentile

0peer deciles · median line · this player ●4,941

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
€500k
Nov 2014
Peak
€5M
Dec 2023
Model target
€3.5M
May 2026
Valuations
29
3 club changes
May 2026€3.5MCSKA MoscowValuation the model is trained to reproduce

May 2026: €3.5M, CSKA Moscow. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2014-11-11€500kOFK Beograd
2015-06-15€800kOFK Beograd
2015-09-06€1.3MFC Girondins Bordeaux
2016-02-04€1.3MFC Girondins Bordeaux
2016-07-13€1.3MFC Girondins Bordeaux
2017-01-16€1.3MFC Girondins Bordeaux
2017-06-01€1.8MFC Girondins Bordeaux
2018-01-24€1.8MFC Girondins Bordeaux
2018-06-04€1.8MFC Girondins Bordeaux
2018-12-17€1.8MFC Girondins Bordeaux
2019-06-09€2MRed Star Belgrade
2019-10-28€2MRed Star Belgrade
2020-04-08€1.6MRed Star Belgrade
2020-06-28€1.6MRed Star Belgrade
2020-12-22€2.5MRed Star Belgrade
2021-06-12€3.5MRed Star Belgrade
2021-12-25€2.8MRed Star Belgrade
2022-06-26€3MRed Star Belgrade
2022-09-12€3.5MCSKA Moscow
2022-11-21€3.5MCSKA Moscow
2023-06-14€4MCSKA Moscow
2023-12-13€5MCSKA Moscow
2024-06-04€5MCSKA Moscow
2024-12-12€4MCSKA Moscow
2025-06-04€4MCSKA Moscow
2025-09-18€4.5MCSKA Moscow
2025-12-16€4.5MCSKA Moscow
2026-03-25€4MCSKA Moscow
2026-05-26€3.5MCSKA Moscow

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
+0.251

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 81% of the 412 Premier Liga players.

€50k€300k€2M€15M€3.5MSee them in the Explorer →

Defenders, all leagues2,065 players · median €2M

Valued above 63% of the 2,065 defenders.

€20k€200k€2M€20M€3.5MSee them in the Explorer →

Where Gajic 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).