Maksym Marusych

33 yrs · Striker · Ukraine
SC Poltava · Premier Liga · Foot: right · Height: 182 cm
Risk: Very HighConfidence: MediumSample: MediumDevelopment: LowContract: Data unavailable
Market value
€100k
Updated 7 days ago
Estimated acquisition
€29k – €191k
Estimated · 20–80% range
Model value
€99k – €270k
Performance-implied · estimated
Projected (24m)
€72k – €101k
Resale range · estimated
Potential value gap
-€92k – €241k
Model value − acquisition

Value picture

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

Estimated acquisition€29k – €191k
Model value (performance-implied)€99k – €270k
Projected value (24 months)€72k – €101k
Dashed line: current market value (€100k). Bars are 20–80% model ranges; tick = median.

The model rates Maksym Marusych's performance-implied value at EUR 0.1M-0.3M, above the estimated acquisition range of EUR 0.0M-0.2M. Its 24-month market value projection is EUR 0.1M-0.1M. Context-adjusted goal contributions are 1.37x the positional average in the league (1077 minutes, league coefficient 0.25). Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.

Acquisition note: Contract end date unavailable: range widened by 15% each side.

Bargain Index: not assigned

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

Market value below EUR 250k (outside validated pool)

PerformanceBelow average1th pct among ATT peers (age-neutral)
AgeUnfavorable33 years
Acquisition costNeutralest. €92k vs market €100k
Expected appreciationNeutral-4% 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: €250k

Profile vs positional peers

Percentiles among 900 evaluated ATT players with 900+ minutes.

Performance (last season, league)

Minutes
1077 (40% of available)
Goals + assists / 90
0.33
Context-adjusted G+A / 90
0.70
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
1 (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)
909
Opponent strength
1186
Possession, role
Data unavailable

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

Potential

Development
Low
Trajectory
insufficient
Breakout probability
Age > 23
Resale range (24m)
€72k – €101k

Historical comparables (8): median 2-year value change -6% (IQR -36% to +0%).

Risk profile

Overall: Very High

  • ▲League level coefficient 0.25 (1.00 = big-five average): output may not translate.
  • ▲Age 33: resale value typically declines.
  • ⚠Limited sample: 1077 league minutes last season.
  • ⚠No continental-competition minutes last season.
  • ⚠Played under 40% of available league minutes (injury data unavailable, cause unknown).
  • ⓘContract end date unavailable (or stale in source).
  • ⓘ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
18 (ATT)
Relative output kept
87%–104%
Held a regular role (900+ min)
94%
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.
2025/26SC PoltavaPremier LigaST20107740%310.330.7011869090.25
2023/24NK Veres RivnePremier LigaST1366225%020.270.56125911520.34
2022/23Ingulets PetrovePremier LigaST25102638%200.180.47127611510.38

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Ukrainian CupSC Poltava14510—
2023/24Ukrainian CupNK Veres Rivne12400—

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
Kazenga LuaLua
Super League 1 · 2023
33€200k€200kflat
Yaroslav Bogunov
Premier Liga · 2023
30€200k€200kflat
Abiola Dauda
Super League 1 · 2022
34€150k€75kfell
Nicky Clark
Scottish Premiership · 2024
33€300k€300kflat
Dmytro Yusov
Premier Liga · 2024
31€300k€300kflat
Stefan Ashkovski
Super League 1 · 2023
31€400k€350kflat
Georgios Manousos
Super League 1 · 2022
35€250k€100kfell
Christos Eleftheriadis
Super League 1 · 2022
31€250k€175kfell

Transfer history

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

DateFromToFeeMV at time
23 Feb 2024Veres RivneSC PoltavaFree / loan€250k
1 Jul 2023InguletsVeres RivneFree / loan€200k
24 Aug 2022Without ClubInguletsUnknown€225k
1 Jan 2022RiteriaiWithout ClubUnknown€225k
1 Jul 2021UnknownRiteriaiFree / loan€250k
12 Mar 2021Noah JurmalaUnknownFree / loan€250k
1 Feb 2021Kaspiy AktauNoah JurmalaFree / loan€250k
28 Aug 2020Without ClubKaspiy AktauUnknown€225k
1 Jan 2020JelgavaWithout ClubUnknown€225k
15 Aug 2019RFSJelgavaFree / loan€225k
13 Mar 2018JonavaRFSFree / loan€175k
1 Mar 2017Without ClubJonavaUnknown€75k
18 Nov 2016Girnyk-SportWithout ClubUnknown€75k
28 Jul 2016DesnaGirnyk-SportFree / loan€75k
5 Mar 2016Girnyk-SportDesnaFree / loan€75k
19 Mar 2015Without ClubGirnyk-SportUnknown€100k
1 Sept 2014Karpaty LvivWithout ClubUnknownData unavailable
23 Jul 2014Vorskla IIKarpaty LvivFree / loanData unavailable
1 Jul 2010Vorskla U17Vorskla 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.