Kirill Kravtsov

24 yrs · Defensive midfielder (also CM) · Russia
FK Sochi · Premier Liga · Foot: right · Height: 189 cm
Risk: HighConfidence: MediumSample: MediumDevelopment: LowContract: until 30 Jun 2026
Market value
€1.2M
Updated today
Estimated acquisition
€441k – €1.4M
Estimated · 20–80% range
Model value
€442k – €996k
Performance-implied · estimated
Projected (24m)
€585k – €2.2M
Resale range · estimated
Potential value gap
-€964k – €555k
Model value − acquisition

Value picture

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

Estimated acquisition€441k – €1.4M
Model value (performance-implied)€442k – €996k
Projected value (24 months)€585k – €2.2M
Dashed line: current market value (€1.2M). Bars are 20–80% model ranges; tick = median.

The model rates Kirill Kravtsov's performance-implied value at EUR 0.4M-1.0M, below the estimated acquisition range of EUR 0.4M-1.4M. Its 24-month market value projection is EUR 0.6M-2.2M. Context-adjusted goal contributions are 1.87x the positional average in the league (1088 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: Contract end date unavailable: range widened by 15% each side.

Bargain Index: 87

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

PerformanceBelow average14.8th pct among MID peers (age-neutral)
AgeNeutral24 years
Acquisition costVery favorableest. €723k vs market €1.2M
Expected appreciationNeutral-8% over ~2 years (model)
Value gapNegativeweak predictor on its own
DevelopmentLow
League translationModerateleague coefficient 0.56
Tactical fitNot evaluatedRequires event/role data not available from the current free source.
RiskHigh
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: €1.5M

Profile vs positional peers

Percentiles among 1163 evaluated MID players with 900+ minutes.

Performance (last season, league)

Minutes
1088 (40% of available)
Goals + assists / 90
0.25
Context-adjusted G+A / 90
0.23
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
15 (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
1363
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)
€585k – €2.2M

Historical comparables (8): median 2-year value change -5% (IQR -26% to +9%).

Risk profile

Overall: High

  • ⚠Limited sample: 1088 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).
  • ⚠Projection range wider than for most evaluated players.
  • ⓘ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 (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 LigaDM17108840%300.250.23136311970.56
2023/24FK SochiPremier LigaDM26215080%300.130.13132412220.49
2022/23FK SochiPremier LigaDM24108340%100.080.08130813100.53
2021/22FK Nizhny NovgorodPremier LigaDM1199037%120.270.19136112600.52
2021/22AO FK Zenit Sankt-PeterburgPremier LigaDM91405%000.000.05132215300.52
2020/21AO FK Zenit Sankt-PeterburgPremier LigaCM4793%000.000.09118315440.55

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Russian CupFK Sochi33300—
2023/24Russian CupFK Sochi318010—
2022/23Russian CupFK Sochi542101—
2021/22Russian CupFK Nizhny Novgorod14500—
2021/22Uefa Champions LeagueAO FK Zenit Sankt-Peterburg214001682
2021/22Russian Super CupAO FK Zenit Sankt-Peterburg18001457

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
Kirill Kaplenko
Premier Liga · 2024
25€1.2M€350kfell
Mateusz Klich
Eredivisie · 2013
23€750k€800kflat
Gudmundur Thórarinsson
Superliga · 2016
24€700k€800kflat
Wilson Kamavuaka
Jupiler Pro League · 2014
24€700k€750kflat
Alasana Manneh
Superliga · 2023
25€500k€650krose
Abdoulaye Sissako
Jupiler Pro League · 2022
24€850k€700kflat
Zinédine Machach
Eredivisie · 2021
25€550k€300kfell
Richard Neudecker
Eredivisie · 2020
24€475k€400kflat

Transfer history

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

DateFromToFeeMV at time
22 Jul 2022Zenit S-PbFK Sochi€835k€800k
30 Jun 2022Nizhny NovgorodZenit S-PbFree / loan€800k
10 Feb 2022Zenit S-PbNizhny NovgorodFree / loan€400k
1 Jul 2021Zenit 2 S-PbZenit S-PbUnknown€300k
1 Aug 2020Zenit IIZenit 2 S-PbUnknown€200k
1 Jan 2019Zenit U17Zenit IIUnknown€50k

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.