Gamid Agalarov

26 yrs · Striker · Russia
Dinamo Makhachkala · Premier Liga · Foot: left · Height: 181 cm
Risk: Very HighConfidence: MediumSample: MediumDevelopment: LowContract: until 30 Jun 2027
Market value
€1.5M
Updated 6 days ago
Estimated acquisition
€548k – €1.2M
Estimated · 20–80% range
Model value
€940k – €1.5M
Performance-implied · estimated
Projected (24m)
€694k – €2.0M
Resale range · estimated
Potential value gap
-€282k – €962k
Model value − acquisition

Value picture

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

Estimated acquisition€548k – €1.2M
Model value (performance-implied)€940k – €1.5M
Projected value (24 months)€694k – €2.0M
Dashed line: current market value (€1.5M). Bars are 20–80% model ranges; tick = median.

The model rates Gamid Agalarov's performance-implied value at EUR 0.9M-1.5M, above the estimated acquisition range of EUR 0.5M-1.2M. Its 24-month market value projection is EUR 0.7M-2.0M. Context-adjusted goal contributions are 1.14x the positional average in the league (1706 minutes, league coefficient 0.56). 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: 93

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

PerformanceBelow average32th pct among ATT peers (age-neutral)
AgeNeutral26 years
Acquisition costVery favorableest. €731k vs market €1.5M
Expected appreciationLow-14% 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.
RiskVery High
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: €6.0M

Profile vs positional peers

Percentiles among 900 evaluated ATT players with 900+ minutes.

Performance (last season, league)

Minutes
1706 (63% of available)
Goals + assists / 90
0.42
Context-adjusted G+A / 90
0.58
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
32 (Below 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)
1214
Opponent strength
1335
Possession, role
Data unavailable

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

Potential

Development
Low
Trajectory
declining
Breakout probability
Age > 23
Resale range (24m)
€694k – €2.0M

Historical comparables (8): median 2-year value change -13% (IQR -39% to +120%).

Risk profile

Overall: Very High

  • ⚠Limited sample: 1706 league minutes last season.
  • ⚠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.
  • ⚠Declining trajectory versus previous season.
  • ⓘ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
20 (ATT)
Relative output kept
76%–104%
Held a regular role (900+ min)
50%
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.
2025/26Dinamo MakhachkalaPremier LigaST29170663%710.420.58133512140.56
2024/25Dinamo MakhachkalaPremier LigaST25182768%740.540.67131212330.55
2024/25RFK Akhmat GroznyPremier LigaST32319%000.000.49134912480.55
2023/24RFK Akhmat GroznyPremier LigaST1958522%300.460.54132012730.49
2022/23RFK Akhmat GroznyPremier LigaST2287432%310.410.43132713640.53
2021/22FK UfaPremier LigaST29231486%1920.820.86134412350.52
2020/21FK UfaPremier LigaST51104%000.000.64146012710.55
2019/20FK UfaPremier LigaST52429%000.000.46139913330.63
2018/19Anzhi Makhachkala ( -2022)Premier LigaST62108%000.000.65139711870.69
2018/19Ural YekaterinburgPremier LigaST1100%000.000.48126213360.69

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Russian CupDinamo Makhachkala618331—
2024/25Russian CupDinamo Makhachkala621041—
2024/25Russian CupRFK Akhmat Grozny16310—
2023/24Russian CupRFK Akhmat Grozny421300—
2022/23Russian CupRFK Akhmat Grozny741822—
2021/22Russian CupFK Ufa29000—

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
Zé Manuel
Liga Portugal · 2016
26€800k€300kfell
Jhon Murillo
Liga Portugal · 2021
26€1.0M€2.0Mrose
Iñigo Córdoba
Eredivisie · 2023
26€2.3M€1.5Mfell
Jordan Remacle
Jupiler Pro League · 2013
26€1.2M€1.0Mflat
Fran Sol
Eredivisie · 2017
25€850k€5.0Mrose
Willum Thór Willumsson
Eredivisie · 2023
25€1.3M€3.8Mrose
Michael Frey
Jupiler Pro League · 2021
27€2.2M€2.0Mflat
Vladislav Sarveli
Premier Liga · 2022
25€1.8M€900kfell

Transfer history

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

DateFromToFeeMV at time
21 Aug 2024Akhmat GroznyDinamo Makhach.€500k€900k
15 Jul 2022UfaAkhmat Grozny€4.0M€6.0M
30 Jun 2021VolgarUfaFree / loan€350k
22 Jan 2021UfaVolgarFree / loan€300k
24 Jan 2020AnzhiUfa€40k€300k
1 Jan 2019Anzhi IIAnzhiUnknown€250k
1 Jul 2016Anzhi U19Anzhi IIUnknownData 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.