Artem Makarchuk

30 yrs · Left-back (also LM) · Russia
FK Sochi · Premier Liga · Foot: left · Height: 185 cm
Risk: Very HighConfidence: MediumSample: MediumDevelopment: LowContract: until 30 Jun 2027
Market value
€700k
Updated 7 days ago
Estimated acquisition
€163k – €510k
Estimated · 20–80% range
Model value
€336k – €637k
Performance-implied · estimated
Projected (24m)
€256k – €585k
Resale range · estimated
Potential value gap
-€175k – €474k
Model value − acquisition

Value picture

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

Estimated acquisition€163k – €510k
Model value (performance-implied)€336k – €637k
Projected value (24 months)€256k – €585k
Dashed line: current market value (€700k). Bars are 20–80% model ranges; tick = median.

The model rates Artem Makarchuk's performance-implied value at EUR 0.3M-0.6M, above the estimated acquisition range of EUR 0.2M-0.5M. Its 24-month market value projection is EUR 0.3M-0.6M. Context-adjusted goal contributions are 1.22x the positional average in the league (1071 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: 68

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

PerformanceBelow average12.7th pct among MID peers (age-neutral)
AgeUnfavorable30.6 years
Acquisition costVery favorableest. €218k vs market €700k
Expected appreciationVery low-41% over ~2 years (model)
Value gapVery largeweak 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: €2.5M

Profile vs positional peers

Percentiles among 1163 evaluated MID players with 900+ minutes.

Performance (last season, league)

Minutes
1071 (40% of available)
Goals + assists / 90
0.08
Context-adjusted G+A / 90
0.27
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
13 (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)
1197
Opponent strength
1387
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)
€256k – €585k

Historical comparables (8): median 2-year value change -24% (IQR -45% to -19%).

Risk profile

Overall: Very High

  • ⚠Limited sample: 1071 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.
  • ⚠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
18 (MID)
Relative output kept
54%–153%
Held a regular role (900+ min)
56%
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.
2025/26FK SochiPremier LigaLM18107140%010.080.27138711970.56
2023/24FK SochiPremier LigaLM28193872%000.000.08133012220.49
2022/23FK SochiPremier LigaLM29228985%150.240.24131913100.53
2021/22FK SochiPremier LigaLM1074528%200.240.25135714410.52

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Russian CupFK Sochi319200—
2023/24Russian CupFK Sochi29900—
2022/23Russian CupFK Sochi645000—
2021/22Russian CupFK Baltika19000—

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
Brandley Kuwas
Super Lig · 2023
31€550k€300kfell
Jean Felipe
Liga Portugal · 2024
30€500k€500kflat
Lionel Ainsworth
Scottish Premiership · 2017
30€450k€350kfell
Navarone Foor
Eredivisie · 2023
31€500k€400kfell
Viera Ellong
Super League 1 · 2017
30€450k€250kfell
Maxime Annys
Jupiler Pro League · 2017
31€350k€300kflat
Robin Yalçın
Super Lig · 2023
29€800k€600kfell
Daniel Lukasik
Super Lig · 2020
29€475k€150kfell

Transfer history

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

DateFromToFeeMV at time
8 Feb 2022BaltikaFK Sochi€115k€450k
1 Jul 2019Fakel VoronezhBaltikaFree / loan€300k
10 Jul 2018Luch VladivostokFakel VoronezhFree / loan€100k
1 Jul 2017BaltikaLuch-EnergiaFree / loan€100k
10 Jul 2015Baltika 2BaltikaUnknownData 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.