Aleksandr Kovalenko

23 yrs · Central midfielder · Russia
FK Sochi · Premier Liga · Foot: right · Height: 177 cm
Risk: Very HighConfidence: MediumSample: MediumDevelopment: ModerateContract: until 30 Jun 2027
Market value
€1.2M
Updated today
Estimated acquisition
€410k – €1.2M
Estimated · 20–80% range
Model value
€442k – €665k
Performance-implied · estimated
Projected (24m)
€552k – €2.3M
Resale range · estimated
Potential value gap
-€807k – €255k
Model value − acquisition

Value picture

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

Estimated acquisition€410k – €1.2M
Model value (performance-implied)€442k – €665k
Projected value (24 months)€552k – €2.3M
Dashed line: current market value (€1.2M). Bars are 20–80% model ranges; tick = median.

The model rates Aleksandr Kovalenko's performance-implied value at EUR 0.4M-0.7M, above the estimated acquisition range of EUR 0.4M-1.2M. Its 24-month market value projection is EUR 0.6M-2.3M. Context-adjusted goal contributions are 0.72x the positional average in the league (1038 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: 94

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

PerformanceBelow average9.8th pct among MID peers (age-neutral)
AgeFavorable22.9 years
Acquisition costVery favorableest. €547k vs market €1.2M
Expected appreciationLow-13% over ~2 years (model)
Value gapSmallweak predictor on its own
DevelopmentModeratebreakout probability 12%
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: €2.8M

Profile vs positional peers

Percentiles among 1163 evaluated MID players with 900+ minutes.

Performance (last season, league)

Minutes
1038 (38% of available)
Goals + assists / 90
0.00
Context-adjusted G+A / 90
0.16
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
10 (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
1371
Possession, role
Data unavailable

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

Potential

Development
Moderate
Trajectory
stable
Breakout probability
12%
Resale range (24m)
€552k – €2.3M

Trajectory drivers: changed club; relative output down 23% vs positional peers.

Historical comparables (8): median 2-year value change -1% (IQR -56% to +160%).

Risk profile

Overall: Very High

  • ▲Projection range among the widest 10% of evaluated players.
  • ⚠Limited sample: 1038 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.
  • ⚠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 LigaCM24103838%000.000.16137111970.56
2024/25FC OrenburgPremier LigaCM1777929%010.120.20131412020.55
2023/24AO FK Zenit Sankt-PeterburgPremier LigaCM6602%000.000.12128714910.49
2022/23PFK Krylya Sovetov SamaraPremier LigaCM23193272%120.140.15131312700.53
2021/22PFK Krylya Sovetov SamaraPremier LigaCM1247217%000.000.12134712890.52

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Russian CupFK Sochi433300—
2024/25Russian CupFC Orenburg417200—
2023/24Russian CupAO FK Zenit Sankt-Peterburg832001—
2022/23Russian CupPFK Krylya Sovetov Samara749511—
2021/22Russian CupChertanovo Moscow17300—

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
Leonardo Lopes
Jupiler Pro League · 2021
23€1.2M€2.0Mrose
Daleho Irandust
Eredivisie · 2022
24€1.2M€700kfell
Artem Golubev
Premier Liga · 2021
22€1.0M€400kfell
Rominigue Kouamé
Jupiler Pro League · 2020
24€800k€5.0Mrose
Vítor Gonçalves
Liga Portugal · 2015
23€700k€300kfell
Mory Gbane
Premier Liga · 2023
23€700k€4.0Mrose
Satoshi Tanaka
Jupiler Pro League · 2023
21€650k€1.3Mrose
Pedro Pelágio
Liga Portugal · 2021
21€1.0M€450kfell

Transfer history

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

DateFromToFeeMV at time
25 Jul 2025OrenburgFK Sochi€2.0M€1.5M
16 Aug 2024Zenit S-PbOrenburg€2.0M€2.0M
1 Jul 2023FK SochiZenit S-Pb€2.0M€2.8M
30 Jun 2023KS SamaraFK SochiFree / loan€2.8M
26 Jul 2022FK SochiKS SamaraFree / loan€500k
25 Jul 2022KS SamaraFK Sochi€800k€500k
5 Feb 2022ChertanovoKS Samara€30k€100k
1 Jul 2021Chertanovo IIChertanovoUnknown€25k
1 Aug 2020Akad ChertanovoChertanovo 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.

Aleksandr Kovalenko · MoneyballAI