Vasyl Kurko

31 yrs · Defensive midfielder (also CB) · Ukraine
Obolon Kyiv · Premier Liga · Foot: right · Height: 190 cm
Risk: Very HighConfidence: MediumSample: MediumDevelopment: LowContract: until 30 Jun 2027
Market value
€400k
Updated 7 days ago
Estimated acquisition
€92k – €281k
Estimated · 20–80% range
Model value
€141k – €355k
Performance-implied · estimated
Projected (24m)
€121k – €359k
Resale range · estimated
Potential value gap
-€139k – €264k
Model value − acquisition

Value picture

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

Estimated acquisition€92k – €281k
Model value (performance-implied)€141k – €355k
Projected value (24 months)€121k – €359k
Dashed line: current market value (€400k). Bars are 20–80% model ranges; tick = median.

The model rates Vasyl Kurko's performance-implied value at EUR 0.1M-0.4M, above the estimated acquisition range of EUR 0.1M-0.3M. Its 24-month market value projection is EUR 0.1M-0.4M. 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: 78

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

PerformanceBelow average1.9th pct among DEF peers (age-neutral)
AgeUnfavorable31.2 years
Acquisition costVery favorableest. €122k vs market €400k
Expected appreciationVery low-34% over ~2 years (model)
Value gapLargeweak predictor on its own
DevelopmentLow
League translationUncertainleague coefficient 0.25
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: €400k

Profile vs positional peers

Percentiles among 1268 evaluated DEF players with 900+ minutes.

Performance (last season, league)

Minutes
922 (34% of available)
Goals + assists / 90
0.10
Context-adjusted G+A / 90
0.09
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
2 (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
0.25 (rank 30)
Team strength (Elo)
1070
Opponent strength
1164
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)
€121k – €359k

Trajectory drivers: role change DM -> CB; relative output up 90% vs positional peers.

Historical comparables (8): median 2-year value change -16% (IQR -38% to +0%).

Risk profile

Overall: Very High

  • ▲League level coefficient 0.25 (1.00 = big-five average): output may not translate.
  • ⚠Limited sample: 922 league minutes last season.
  • ⚠No continental-competition minutes last season.
  • ⚠Contract ends in 12 months: cheaper, but competition and wage demands likely.
  • ⚠Age 31: resale value typically declines.
  • ⚠Played under 40% of available league minutes (injury data unavailable, cause unknown).
  • ⓘ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
11 (DEF)
Relative output kept
108%–176%
Held a regular role (900+ min)
82%
Confidence
Low

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.
2025/26Obolon KyivPremier LigaCB1192234%100.100.09116410700.25
2024/25Obolon KyivPremier LigaDM21108940%000.000.08118510980.28
2023/24NK Veres RivnePremier LigaCB26198073%000.000.03126311520.34
2022/23NK Veres RivnePremier LigaCB27176865%000.000.02127212110.38

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2024/25Ukrainian CupObolon Kyiv222000—
2023/24Ukrainian CupNK Veres Rivne218000—

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
David Keltjens
Scottish Premiership · 2024
29€400k€250kfell
Yevgeniy Morozko
Premier Liga · 2024
31€250k€150kfell
Nikolay Zolotov
Premier Liga · 2024
30€300k€300kflat
Stavros Panagiotou
Super League 1 · 2023
30€200k€200kflat
Dimitrios Konstantinidis
Super League 1 · 2023
29€250k€250kflat
Yuriy Kravchuk
Premier Liga · 2024
30€300k€300kflat
Georgios Saramantas
Super League 1 · 2022
30€250k€175kfell
Ángel Martínez
Super League 1 · 2021
30€350k€200kfell

Transfer history

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

DateFromToFeeMV at time
15 Jan 2026ObolonChornomoretsFree / loan€400k
1 Jul 2024Veres RivneObolonFree / loan€400k
1 Jul 2022Livyi BeregVeres RivneFree / loan€100k
1 Jul 2021PrykarpattyaLivyi BeregFree / loan€100k
15 Feb 2021Without ClubPrykarpattyaUnknown€100k
30 Jul 2020Volyn LutskWithout ClubUnknown€175k
29 Jan 2018Zhemchuzhyna O.Volyn LutskFree / loan€50k
1 Mar 2016Metalist IIZhemchuzhyna O.Free / loanData unavailable
1 Jul 2015Chornomorets IIMetalist IIUnknownData unavailable
1 Jan 2014Chornomor. U19Chornomorets IIUnknownData unavailable
1 Jul 2012Metalurg D. U17Chornomor. 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.