Maksim Osipenko

32 yrs · Centre-back · Russia
FK Dinamo Moskva · Premier Liga · Foot: right · Height: 190 cm
Risk: Very HighConfidence: MediumSample: HighDevelopment: LowContract: until 30 Jun 2028
Market value
€3.0M
Updated 6 days ago
Estimated acquisition
€692k – €3.0M
Estimated · 20–80% range
Model value
€637k – €2.9M
Performance-implied · estimated
Projected (24m)
€739k – €1.8M
Resale range · estimated
Potential value gap
-€2.3M – €2.2M
Model value − acquisition

Value picture

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

Estimated acquisition€692k – €3.0M
Model value (performance-implied)€637k – €2.9M
Projected value (24 months)€739k – €1.8M
Dashed line: current market value (€3.0M). Bars are 20–80% model ranges; tick = median.

The model rates Maksim Osipenko's performance-implied value at EUR 0.6M-2.9M, below the estimated acquisition range of EUR 0.7M-3.0M. Its 24-month market value projection is EUR 0.7M-1.8M. Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.

Bargain Index: 1

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

PerformanceAbove average56.8th pct among DEF peers (age-neutral)
AgeUnfavorable32.1 years
Acquisition costFavorableest. €2.0M vs market €3.0M
Expected appreciationVery low-68% over ~2 years (model)
Value gapVery negativeweak 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: €5.0M

Profile vs positional peers

Percentiles among 1268 evaluated DEF players with 900+ minutes.

Performance (last season, league)

Minutes
1890 (70% of available)
Goals + assists / 90
0.14
Context-adjusted G+A / 90
0.10
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
57 (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)
1423
Opponent strength
1320
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)
€739k – €1.8M

Trajectory drivers: minutes share down 24 pts; changed club; team strength up (+82 Elo); relative output down 68% vs positional peers.

Historical comparables (8): median 2-year value change -44% (IQR -59% to -33%).

Risk profile

Overall: Very High

  • ▲Age 32: resale value typically declines.
  • ⚠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).
  • ⚠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
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.
2025/26FK Dinamo MoskvaPremier LigaCB22189070%210.140.10132014230.56
2024/25FK RostovPremier LigaCB30252894%940.460.31129913420.55
2023/24FK RostovPremier LigaCB24203475%610.310.21134913170.49
2022/23FK RostovPremier LigaCB26232186%610.270.19132313430.53
2021/22FK RostovPremier LigaCB29261097%200.070.08135712830.52
2020/21FK RostovPremier LigaCB28244190%010.040.05135513160.55
2019/20PFK Tambov (-2021)Premier LigaCB17152056%110.120.15141912850.63
2019/20FK RostovPremier LigaCB981030%000.000.04138113740.63

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Russian CupFK Dinamo Moskva742410—
2024/25Russian CupFK Rostov1055311—
2023/24Russian CupFK Rostov521910—
2022/23Russian CupFK Rostov751610—
2021/22Russian CupFK Rostov19000—
2020/21Uefa Europa League QualifyingFK Rostov190001439
2020/21Russian CupFK Rostov19000—
2019/20Russian CupPFK Tambov (-2021)19000—

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
Sverrir Ingi Ingason
Superliga · 2024
31€4.0M€1.8Mfell
Aleksandr Martynovich
Premier Liga · 2020
33€2.8M€500kfell
Laurent Ciman
Jupiler Pro League · 2015
30€3.0M€1.8Mfell
Jelle Van Damme
Jupiler Pro League · 2015
32€1.5M€1.3Mflat
Michael Ngadeu
Jupiler Pro League · 2021
31€3.2M€2.0Mfell
Denys Favorov
Premier Liga · 2021
30€1.5M€800kfell
Pablo Fontanello
Premier Liga · 2014
30€1.7M€2.0Mflat
Fabián Balbuena
Premier Liga · 2024
33€3.0M€900kfell

Transfer history

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

DateFromToFeeMV at time
1 Jul 2025RostovDynamo Moscow€2.9M€5.0M
9 Jan 2020TambovRostov€250k€700k
1 Jul 2019Fakel VoronezhTambovFree / loan€550k
22 Feb 2016Irtysh OmskFakel VoronezhUnknownData unavailable
1 Jul 2013Irtysh Omsk IIIrtysh OmskUnknownData 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.

Maksim Osipenko · MoneyballAI