Aleksandr Filin

30 yrs · Centre-back (also LB) · Russia
FK Baltika · Premier Liga · Foot: left · Height: 185 cm
Risk: HighConfidence: MediumSample: MediumDevelopment: LowContract: until 30 Jun 2028
Market value
€1.2M
Updated 7 days ago
Estimated acquisition
€313k – €1.2M
Estimated · 20–80% range
Model value
€610k – €1.5M
Performance-implied · estimated
Projected (24m)
€440k – €1.0M
Resale range · estimated
Potential value gap
-€605k – €1.2M
Model value − acquisition

Value picture

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

Estimated acquisition€313k – €1.2M
Model value (performance-implied)€610k – €1.5M
Projected value (24 months)€440k – €1.0M
Dashed line: current market value (€1.2M). Bars are 20–80% model ranges; tick = median.

The model rates Aleksandr Filin's performance-implied value at EUR 0.6M-1.5M, above the estimated acquisition range of EUR 0.3M-1.2M. Its 24-month market value projection is EUR 0.4M-1.0M. Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.

Bargain Index: 20

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

PerformanceAverage38.9th pct among DEF peers (age-neutral)
AgeUnfavorable30 years
Acquisition costFavorableest. €800k vs market €1.2M
Expected appreciationVery low-49% over ~2 years (model)
Value gapSmallweak 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: €1.2M

Profile vs positional peers

Percentiles among 1268 evaluated DEF players with 900+ minutes.

Performance (last season, league)

Minutes
1457 (54% of available)
Goals + assists / 90
0.06
Context-adjusted G+A / 90
0.07
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
39 (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)
1326
Opponent strength
1329
Possession, role
Data unavailable

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

Potential

Development
Low
Trajectory
stable
Breakout probability
Age > 23
Resale range (24m)
€440k – €1.0M

Trajectory drivers: minutes share down 46 pts; changed club; team strength up (+122 Elo); relative output up 188% vs positional peers.

Historical comparables (8): median 2-year value change -60% (IQR -65% to -46%).

Risk profile

Overall: High

  • ⚠Limited sample: 1457 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).
  • ⚠Age 30: resale value typically declines.
  • ⓘ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
25 (DEF)
Relative output kept
48%–200%
Held a regular role (900+ min)
72%
Confidence
Medium

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 BaltikaPremier LigaCB22145754%100.060.07132913260.56
2024/25FC Khimki (-2025)Premier LigaCB302700100%000.000.02131312040.55
2023/24KAS EupenJupiler Pro LeagueCB1287032%000.000.07141111500.63
2022/23FC Khimki (-2025)Premier LigaCB1190033%000.000.04131611510.53
2022/23KAS EupenJupiler Pro LeagueCB972624%000.000.05132511710.58
2021/22FC Khimki (-2025)Premier LigaCB19144053%000.000.03135312730.52
2020/21FC Khimki (-2025)Premier LigaCB16144053%000.000.03134913070.55
2019/20PFK Tambov (-2021)Premier LigaCB972527%000.000.05138112850.63
2015/16FK UfaPremier LigaLB1652%000.000.21167513190.79

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Russian CupFK Baltika637200—
2024/25Russian CupFC Khimki (-2025)29000—
2022/23Russian CupFC Khimki (-2025)319600—
2021/22Russian CupFC Khimki (-2025)213500—
2019/20Russian CupFC Khimki (-2025)327000—
2015/16Russian CupFK Ufa19000—

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
Toni Sunjic
Premier Liga · 2020
32€1.6M€650kfell
Andreas Maxsø
Superliga · 2023
29€2.0M€1.2Mfell
Gonçalo Silva
Liga Portugal · 2020
29€1.0M€350kfell
Rúben Lima
Liga Portugal · 2019
30€900k€500kfell
Bart van Hintum
Eredivisie · 2016
29€750k€400kfell
Volodymyr Chesnakov
Premier Liga · 2019
31€900k€300kfell
Hasan Ali Kaldırım
Super Lig · 2020
31€1.7M€425kfell
Alexander Fischer
Superliga · 2016
30€500k€200kfell

Transfer history

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

DateFromToFeeMV at time
1 Jul 2025KhimkiBaltikaFree / loan€1.0M
1 Jul 2024KAS EupenKhimkiFree / loan€600k
31 Jan 2023KhimkiKAS EupenFree / loan€800k
31 Jul 2020TambovKhimkiFree / loan€900k
21 Feb 2020KhimkiTambovFree / loan€600k
1 Jul 2018Nizhny NovgorodKhimkiFree / loan€250k
30 Aug 2017UfaOlimpietsFree / loan€50k
27 Aug 2015Shakhtar-3UfaUnknownData unavailable
1 Jul 2014Shakhtar U19Shakhtar-3UnknownData 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 Filin · MoneyballAI