Egor Smelov

21 yrs · Attacking midfielder (also CM) · Russia
FK Nizhny Novgorod · Premier Liga · Foot: right · Height: 178 cm
Risk: Very HighConfidence: MediumSample: MediumDevelopment: ModerateContract: until 30 Jun 2027
Market value
€750k
Updated 6 days ago
Estimated acquisition
€310k – €1.1M
Estimated · 20–80% range
Model value
€350k – €730k
Performance-implied · estimated
Projected (24m)
€398k – €1.9M
Resale range · estimated
Potential value gap
-€747k – €421k
Model value − acquisition

Value picture

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

Estimated acquisition€310k – €1.1M
Model value (performance-implied)€350k – €730k
Projected value (24 months)€398k – €1.9M
Dashed line: current market value (€750k). Bars are 20–80% model ranges; tick = median.

The model rates Egor Smelov's performance-implied value at EUR 0.4M-0.7M, above the estimated acquisition range of EUR 0.3M-1.1M. Its 24-month market value projection is EUR 0.4M-1.9M. Context-adjusted goal contributions are 0.94x the positional average in the league (941 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: 99

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

PerformanceBelow average11.3th pct among MID peers (age-neutral)
AgeFavorable21.3 years
Acquisition costVery favorableest. €413k vs market €750k
Expected appreciationHigh+20% over ~2 years (model)
Value gapLargeweak predictor on its own
DevelopmentModeratebreakout probability 17%
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: €750k

Profile vs positional peers

Percentiles among 1163 evaluated MID players with 900+ minutes.

Performance (last season, league)

Minutes
941 (35% of available)
Goals + assists / 90
0.19
Context-adjusted G+A / 90
0.38
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
11 (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)
1180
Opponent strength
1324
Possession, role
Data unavailable

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

Potential

Development
Moderate
Trajectory
insufficient
Breakout probability
17%
Resale range (24m)
€398k – €1.9M

Historical comparables (8): median 2-year value change +34% (IQR -33% to +208%).

Risk profile

Overall: Very High

  • ▲Projection range among the widest 10% of evaluated players.
  • ⚠Limited sample: 941 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 Nizhny NovgorodPremier LigaAM1492634%020.190.38132411760.56
2025/26FK Dinamo MoskvaPremier LigaCM2151%000.000.24147014230.56
2024/25FK Dinamo MoskvaPremier LigaAM21064%000.000.22116014450.55

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Russian CupFK Nizhny Novgorod322500—
2025/26Russian CupFK Dinamo Moskva321300—
2024/25Russian CupFK Dinamo Moskva314400—

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
Habib Keïta
Jupiler Pro League · 2023
21€650k€1.5Mrose
Nathan Bitumazala
Jupiler Pro League · 2023
21€500k€300kfell
Matthias Verreth
Jupiler Pro League · 2020
22€575k€400kfell
Gary Magnée
Jupiler Pro League · 2022
23€400k€1.2Mrose
Mykola Matvienko
Premier Liga · 2017
21€800k€3.0Mrose
Noah Naujoks
Eredivisie · 2024
22€450k€1.5Mrose
Luquinha
Liga Portugal · 2021
21€1.0M€600kfell
Kenneth Houdret
Jupiler Pro League · 2016
23€450k€350kfell

Transfer history

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

DateFromToFeeMV at time
30 Jun 2026Pari NNDynamo MoscowFree / loan€750k
9 Sept 2025Dynamo MoscowPari NNFree / loan€300k
1 Jul 2025Dynamo 2Dynamo MoscowUnknown€300k
1 Jul 2022Ak. Dinamo U16Dynamo 2UnknownData unavailable
17 Jul 2021SShOR Zenit U16Ak. Dinamo U16UnknownData 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.