Vitaliy Mykolenko

27 yrs · Left-back · Ukraine
Everton FC · Premier League · Foot: left · Height: 180 cm
Risk: LowConfidence: MediumSample: HighDevelopment: LowContract: until 30 Jun 2029
Market value
€25.0M
Updated 6 days ago
Estimated acquisition
€14.7M – €27.4M
Estimated · 20–80% range
Model value
€22.0M – €37.2M
Performance-implied · estimated
Projected (24m)
€13.7M – €22.6M
Resale range · estimated
Potential value gap
-€5.4M – €22.4M
Model value − acquisition

Value picture

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

Estimated acquisition€14.7M – €27.4M
Model value (performance-implied)€22.0M – €37.2M
Projected value (24 months)€13.7M – €22.6M
Dashed line: current market value (€25.0M). Bars are 20–80% model ranges; tick = median.

The model rates Vitaliy Mykolenko's performance-implied value at EUR 22.0M-37.2M, above the estimated acquisition range of EUR 14.7M-27.4M. Its 24-month market value projection is EUR 13.7M-22.6M. Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.

Bargain Index: 26

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

PerformanceElite95.4th pct among DEF peers (age-neutral)
AgeNeutral27.1 years
Acquisition costFavorableest. €21.5M vs market €25.0M
Expected appreciationVery low-29% over ~2 years (model)
Value gapLargeweak predictor on its own
DevelopmentLow
League translationBig-five leagueleague coefficient 1.3
Tactical fitNot evaluatedRequires event/role data not available from the current free source.
RiskLow
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: €28.0M

Profile vs positional peers

Percentiles among 1268 evaluated DEF players with 900+ minutes.

Performance (last season, league)

Minutes
2961 (87% of available)
Goals + assists / 90
0.03
Context-adjusted G+A / 90
0.07
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
95 (Elite)

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
1.30 (rank 1)
Team strength (Elo)
1556
Opponent strength
1605
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)
€13.7M – €22.6M

Trajectory drivers: relative output down 40% vs positional peers.

Historical comparables (8): median 2-year value change -21% (IQR -31% to -4%).

Risk profile

Overall: Low

  • ⚠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).

Already playing in a big-five league.

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.
2025/26Everton FCPremier LeagueLB33296187%010.030.07160515561.30
2024/25Everton FCPremier LeagueLB35308490%120.090.11156415671.23
2023/24Everton FCPremier LeagueLB28247172%200.070.12160615141.14
2022/23Everton FCPremier LeagueLB34265578%000.000.06157714751.23
2021/22Dynamo KyivPremier LigaLB15127879%030.210.10127615320.45
2021/22Everton FCPremier LeagueLB13105631%100.090.15157214741.17
2020/21Dynamo KyivPremier LigaLB22193683%230.230.13128815630.49
2019/20Dynamo KyivPremier LigaLB18151276%260.480.27132814970.54
2018/19Dynamo KyivPremier LigaLB15130866%020.140.08131915280.57
2017/18Dynamo KyivPremier LigaLB326213%000.000.08129515470.62

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Fa CupEverton FC110400—
2024/25Fa CupEverton FC19000—
2023/24Fa CupEverton FC327000—
2022/23Fa CupEverton FC18100—
2021/22Uefa Champions LeagueDynamo Kyiv5450001776
2021/22Fa CupEverton FC325300—
2020/21Uefa Champions LeagueDynamo Kyiv4354001622
2020/21Uefa Europa LeagueDynamo Kyiv4353011641
2020/21Uefa Champions League QualifyingDynamo Kyiv3270001499
2020/21Ukrainian CupDynamo Kyiv321600—
2019/20Uefa Europa LeagueDynamo Kyiv6540101468
2019/20Ukrainian CupDynamo Kyiv436200—
2019/20Uefa Champions League QualifyingDynamo Kyiv2180011570
2018/19Uefa Europa LeagueDynamo Kyiv8720121532
2018/19Ukrainian CupDynamo Kyiv112000—
2017/18Ukrainian CupDynamo Kyiv220801—

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
Dakonam Djené
Laliga · 2019
27€25.0M€18.0Mfell
Joachim Andersen
Premier League · 2023
27€30.0M€27.0Mflat
Conor Coady
Premier League · 2021
28€25.0M€12.0Mfell
Ezri Konsa
Premier League · 2024
27€35.0M€40.0Mflat
Jamaal Lascelles
Premier League · 2019
26€15.0M€13.0Mflat
Antonee Robinson
Premier League · 2023
26€15.0M€35.0Mrose
James Tarkowski
Premier League · 2021
29€25.0M€18.0Mfell
Philipp Lienhart
Bundesliga · 2023
27€20.0M€12.0Mfell

Transfer history

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

DateFromToFeeMV at time
1 Jan 2022Dynamo KyivEverton€23.5M€17.0M
14 Oct 2017Dynamo Kyiv IIDynamo KyivUnknownData unavailable
1 Jul 2017Dynamo Kyiv U19Dynamo Kyiv IIUnknownData unavailable
1 Aug 2016Dynamo Kyiv U17Dynamo Kyiv U19UnknownData 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.

Vitaliy Mykolenko · MoneyballAI