FairValue

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

Bogosavac

LBSerbia · Akhmat Grozny

№ 273945Emerging €1.4M −0.16

Player dossierPremier Liga

MiroslavBogosavac

LBLeft-BackDefender

Club
Akhmat Grozny
League
Premier Liga
Nationality
Serbia
Age
29
Height
176 cm
Foot
Left
Valued
26 May 2026

Reading the valuation

The market values Bogosavac at €1.2M. Model A, which never saw Bogosavac during training, estimates €1.4M: the market value is 15% below that estimate.

That is a factor of ×1.17. 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 €1.2M, closer to the market here, although it is usually further off (typical miss ×2.07).

A gap describes the model's arithmetic for this player's inputs, not what the player is worth.

▼ −0.16A €1.4M▼ −0.02B €1.2M
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
47
Minutes
3,623
Goals
0
Assists
2
Started
41/47
Min / app
77
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 Bogosavac…

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 €1.2M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €1.2MModel A €1.4M

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

Miroslav Bogosavac's percentiles among defenders: Goals per 90 18th, Assists per 90 57th, Minutes, two years 64th, Starts 62nd, Minutes, last 365 days 81st, European club minutes 30th18thGoals57thAssists64thMinutes62ndStarts81stRecent30thEurope

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.

2,703 this player1,687 defender median81st 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
€100k
Nov 2014
Peak
€3.5M
Jun 2023
Model target
€1.2M
May 2026
Valuations
26
3 club changes
May 2026€1.2MAkhmat GroznyValuation the model is trained to reproduce

May 2026: €1.2M, Akhmat Grozny. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2014-11-11€100kFK Teleoptik Zemun
2015-06-15€100kFK Teleoptik Zemun
2016-05-29€600kFK Partizan Belgrade
2016-12-18€500kFK Partizan Belgrade
2017-05-04€550kFK Cukaricki
2018-01-10€600kFK Cukaricki
2018-07-02€700kFK Cukaricki
2019-01-14€1MFK Cukaricki
2019-06-09€1.5MFK Cukaricki
2019-10-28€1.7MFK Cukaricki
2020-04-08€1.4MAkhmat Grozny
2020-07-29€1.5MAkhmat Grozny
2020-12-29€1.8MAkhmat Grozny
2021-06-02€2MAkhmat Grozny
2021-12-29€2MAkhmat Grozny
2022-06-02€2.5MAkhmat Grozny
2022-11-21€3MAkhmat Grozny
2023-06-14€3.5MAkhmat Grozny
2023-10-05€3MAkhmat Grozny
2023-12-13€2.5MAkhmat Grozny
2024-06-04€2.3MAkhmat Grozny
2024-09-18€2MAkhmat Grozny
2024-12-12€1.8MAkhmat Grozny
2025-06-04€1MAkhmat Grozny
2025-12-16€1MAkhmat Grozny
2026-05-26€1.2MAkhmat Grozny

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
−0.161

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 51% of the 412 Premier Liga players.

€50k€300k€2M€15M€1.2MSee them in the Explorer →

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

Valued above 39% of the 2,065 defenders.

€20k€200k€2M€20M€1.2MSee them in the Explorer →

Where Bogosavac 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).