Milan Gajic

30 yrs · Right-back (also LB, LM, RM) · Serbia
PFK CSKA Moskva · Premier Liga · Foot: both · Height: 178 cm
Risk: HighConfidence: MediumSample: HighDevelopment: LowContract: until 30 Jun 2027
Market value
€3.5M
Updated 6 days ago
Estimated acquisition
€821k – €2.6M
Estimated · 20–80% range
Model value
€1.0M – €3.3M
Performance-implied · estimated
Projected (24m)
€1.0M – €2.4M
Resale range · estimated
Potential value gap
-€1.5M – €2.5M
Model value − acquisition

Value picture

Where the market, the likely price and the model estimates sit.

Estimated acquisition€821k – €2.6M
Model value (performance-implied)€1.0M – €3.3M
Projected value (24 months)€1.0M – €2.4M
Dashed line: current market value (€3.5M). Bars are 20–80% model ranges; tick = median.

The model rates Milan Gajic's performance-implied value at EUR 1.0M-3.3M, above the estimated acquisition range of EUR 0.8M-2.6M. Its 24-month market value projection is EUR 1.0M-2.4M. Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.

Acquisition note: Final year of contract: selling club's leverage is reduced.

Bargain Index: 33

What drives the score. Not a black box: each component and its level.

PerformanceAbove average55.9th pct among DEF peers (age-neutral)
AgeUnfavorable30.4 years
Acquisition costVery favorableest. €1.1M vs market €3.5M
Expected appreciationVery low-57% over ~2 years (model)
Value gapLargeweak predictor on its own
DevelopmentLow
League translationModerateleague coefficient 0.56
Tactical fitNot evaluatedRequires event/role data not available from the current free source.
RiskHigh
Data confidenceMedium

Bargain Index = percentile (among all evaluated players) of expected 2-year value relative to estimated cost. See methodology and backtests.

Market value history

Market value ≠ transfer fee ≠ acquisition cost.

Highest recorded: €5.0M

Profile vs positional peers

Percentiles among 1268 evaluated DEF players with 900+ minutes.

Performance (last season, league)

Minutes
2391 (89% of available)
Goals + assists / 90
0.07
Context-adjusted G+A / 90
0.08
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
56 (Above average)

Adjusted = shrunk toward positional baseline for small samples, corrected for team dominance over opponents, expressed relative to positional peers in the same league.

Context

League strength
0.56 (rank 10)
Team strength (Elo)
1436
Opponent strength
1329
Possession, role
Data unavailable

League strength 1.00 = average club of the big-five leagues. Elo includes continental matches.

Potential

Development
Low
Trajectory
improving
Breakout probability
Age > 23
Resale range (24m)
€1.0M – €2.4M

Trajectory drivers: minutes share up 42 pts; role change RM -> RB; relative output up 66% vs positional peers.

Historical comparables (8): median 2-year value change -55% (IQR -57% to -48%).

Risk profile

Overall: High

  • ⚠League level coefficient 0.56 (1.00 = big-five average): output may not translate.
  • ⚠No continental-competition minutes last season.
  • ⚠League level estimated mainly from squad values (few matches vs other leagues).
  • ⚠Contract ends in 12 months: cheaper, but competition and wage demands likely.
  • ⚠Age 30: resale value typically declines.
  • ⓘInjury history unavailable from current data source.

League translation

What happened to players who moved from this league to the big-five leagues (observed, not a forecast).

Historical movers
25 (DEF)
Relative output kept
48%–200%
Held a regular role (900+ min)
72%
Confidence
Medium

Output is relative to positional peers in each league. Movers are a selected group (clubs buy players who fit), so treat this as context, not a guarantee.

Season-by-season (domestic league)

Context-adjusted values are model outputs.

SeasonClubLeaguePosAppsMinMin shareGAG+A/90Adj. G+A/90Opp. EloTeam EloLeague str.
2025/26PFK CSKA MoskvaPremier LigaRB28239189%110.080.08132914360.56
2024/25PFK CSKA MoskvaPremier LigaRM21125747%000.000.08133614780.55
2023/24PFK CSKA MoskvaPremier LigaLM26223283%320.200.17133414030.49
2022/23PFK CSKA MoskvaPremier LigaRM29234287%050.190.21131414470.53
2018/19FC Girondins BordeauxLigue 1LB1903%000.000.10134214080.82
2017/18FC Girondins BordeauxLigue 1RB436011%010.250.12138314990.85
2016/17FC Girondins BordeauxLigue 1RB14113633%000.000.06146415070.88
2015/16FC Girondins BordeauxLigue 1RB958917%100.150.12140914050.78

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Russian CupPFK CSKA Moskva973712—
2025/26Russian Super CupPFK CSKA Moskva190001511
2024/25Russian CupPFK CSKA Moskva1084510—
2023/24Russian CupPFK CSKA Moskva1299621—
2023/24Russian Super CupPFK CSKA Moskva190001582
2022/23Russian CupPFK CSKA Moskva1398411—
2018/19Uefa Europa League QualifyingFC Girondins Bordeaux178001302
2017/18Uefa Europa League QualifyingFC Girondins Bordeaux190001425
2015/16Uefa Europa League QualifyingFC Girondins Bordeaux294001337
2015/16Uefa Europa LeagueFC Girondins Bordeaux186001569

Small continental samples are shown for context only and are not over-weighted.

Historical comparables

Most similar profiles 2+ years ago (same position group) and what happened next. Chosen by similarity only — failures included.

Player (then)AgeValue then~2y laterOutcome
Alexandru Epureanu
Super Lig · 2017
31€3.8M€1.8Mfell
Maciej Rybus
Premier Liga · 2021
32€2.0M€300kfell
Igor Plastun
Jupiler Pro League · 2020
30€2.4M€1.0Mfell
Michael Ngadeu
Jupiler Pro League · 2022
32€3.5M€2.0Mfell
Lasse Nielsen
Jupiler Pro League · 2016
28€2.5M€1.3Mfell
Mark van der Maarel
Eredivisie · 2018
29€1.5M€650kfell
Rami Gershon
Jupiler Pro League · 2015
27€2.0M€1.7Mflat
Wesley Hoedt
Jupiler Pro League · 2022
28€5.0M€2.2Mfell

Transfer history

Fees as reported by the source; undisclosed fees shown as unknown, never estimated.

DateFromToFeeMV at time
1 Jul 2022Red StarCSKA MoscowFree / loan€3.0M
4 Feb 2019G. BordeauxRed StarFree / loan€1.8M
22 Jul 2015OFK BeogradG. Bordeaux€1.0M€800k
27 Jan 2014OFK Beograd U19OFK BeogradUnknownData unavailable

MoneyballAI identifies statistical opportunities from available data. A player flagged as a potential bargain is not guaranteed to succeed, to transfer, to rise in value, or to generate resale profit. Market values, fees and contracts come from third-party sources; ranges are model estimates with stated confidence.