Sergey Babkin

24 yrs · Central midfielder · Russia
PFK Krylya Sovetov Samara · Premier Liga · Foot: right · Height: 176 cm
Risk: HighConfidence: MediumSample: HighDevelopment: LowContract: until 30 Jun 2029
Market value
€2.0M
Updated 6 days ago
Estimated acquisition
€908k – €2.4M
Estimated · 20–80% range
Model value
€816k – €1.5M
Performance-implied · estimated
Projected (24m)
€973k – €3.2M
Resale range · estimated
Potential value gap
-€1.6M – €545k
Model value − acquisition

Value picture

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

Estimated acquisition€908k – €2.4M
Model value (performance-implied)€816k – €1.5M
Projected value (24 months)€973k – €3.2M
Dashed line: current market value (€2.0M). Bars are 20–80% model ranges; tick = median.

The model rates Sergey Babkin's performance-implied value at EUR 0.8M-1.5M, below the estimated acquisition range of EUR 0.9M-2.4M. Its 24-month market value projection is EUR 1.0M-3.2M. Context-adjusted goal contributions are 0.94x the positional average in the league (1894 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.

Bargain Index: 66

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

PerformanceBelow average25.2th pct among MID peers (age-neutral)
AgeFavorable23.8 years
Acquisition costFavorableest. €1.6M vs market €2.0M
Expected appreciationNeutral-9% over ~2 years (model)
Value gapVery negativeweak 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: €2.0M

Profile vs positional peers

Percentiles among 1163 evaluated MID players with 900+ minutes.

Performance (last season, league)

Minutes
1894 (70% of available)
Goals + assists / 90
0.14
Context-adjusted G+A / 90
0.21
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
25 (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)
1262
Opponent strength
1327
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)
€973k – €3.2M

Trajectory drivers: relative output up 90% vs positional peers.

Historical comparables (8): median 2-year value change -32% (IQR -54% to +26%).

Risk profile

Overall: High

  • ⚠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.
  • ⓘ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.
2025/26PFK Krylya Sovetov SamaraPremier LigaCM23189470%120.140.21132712620.56
2024/25PFK Krylya Sovetov SamaraPremier LigaCM29208577%010.040.11130112570.55
2023/24PFK Krylya Sovetov SamaraPremier LigaCM19112041%210.240.23132412570.49
2022/23PFK Krylya Sovetov SamaraPremier LigaCM1659322%100.150.20135612700.53
2022/23Футбольный клуб "Локомотив" МоскваPremier LigaCM1130%000.000.20136313990.53
2021/22Футбольный клуб "Локомотив" МоскваPremier LigaCM1565124%010.140.13132213440.52

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Russian CupPFK Krylya Sovetov Samara642311—
2024/25Russian CupPFK Krylya Sovetov Samara624900—
2023/24Russian CupPFK Krylya Sovetov Samara313100—
2022/23Russian CupPFK Krylya Sovetov Samara645600—
2022/23Russian CupФутбольный клуб "Локомотив" Москва1600—
2021/22Uefa Europa LeagueФутбольный клуб "Локомотив" Москва190001473
2021/22Russian CupФутбольный клуб "Локомотив" Москва14500—
2021/22Russian Super CupФутбольный клуб "Локомотив" Москва19001544

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
Mees de Wit
Eredivisie · 2022
24€1.5M€2.5Mrose
Julian Michel
Jupiler Pro League · 2016
24€1.5M€700kfell
Lukas Marecek
Eredivisie · 2013
23€1.3M€900kfell
Rodney Kongolo
Eredivisie · 2021
23€1.5M€400kfell
Mirko Topić
Liga Portugal · 2024
23€3.5M€4.0Mflat
José Rodríguez
Eredivisie · 2019
25€1.3M€800kfell
Abdul Khalili
Super Lig · 2016
24€2.0M€900kfell
Brecht Dejaegere
Jupiler Pro League · 2013
22€1.2M€3.5Mrose

Transfer history

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

DateFromToFeeMV at time
12 Sept 2023Loko MoscowKS Samara€300k€1.0M
11 Sept 2023KS SamaraLoko MoscowFree / loan€1.0M
7 Sept 2022Loko MoscowKS SamaraFree / loan€800k
1 Sept 2021Loko-Kazanka M.Loko MoscowUnknown€150k
1 Apr 2021Loko Moscow IILoko-Kazanka M.Unknown€100k
12 Jul 2019Anzhi IILoko Moscow IIUnknownData unavailable
1 Jul 2017Anzhi U19Anzhi IIUnknownData unavailable
15 Feb 2017UnknownAnzhi 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.