Edgar Sevikyan

25 yrs · Right winger (also AM, ST) · Armenia
Akron Togliatti · Premier Liga · Foot: left · Height: 175 cm
Risk: Very HighConfidence: LowSample: LowDevelopment: LowContract: until 30 Jun 2028
Market value
€1.0M
Updated 6 days ago
Estimated acquisition
€335k – €959k
Estimated · 20–80% range
Model value
€427k – €1.2M
Performance-implied · estimated
Projected (24m)
€485k – €1.7M
Resale range · estimated
Potential value gap
-€531k – €894k
Model value − acquisition

Value picture

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

Estimated acquisition€335k – €959k
Model value (performance-implied)€427k – €1.2M
Projected value (24 months)€485k – €1.7M
Dashed line: current market value (€1.0M). Bars are 20–80% model ranges; tick = median.

The model rates Edgar Sevikyan's performance-implied value at EUR 0.4M-1.2M, above the estimated acquisition range of EUR 0.3M-1.0M. Its 24-month market value projection is EUR 0.5M-1.7M. Context-adjusted goal contributions are 0.86x the positional average in the league (552 minutes, league coefficient 0.56). Confidence is low: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.

Bargain Index: not assigned

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

Insufficient sample (< 900 league minutes)

PerformanceBelow average17.5th pct among ATT peers (age-neutral)
AgeNeutral24.9 years
Acquisition costVery favorableest. €541k vs market €1.0M
Expected appreciationLow-14% 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.
RiskVery High
Data confidenceLow

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: €2.5M

Profile vs positional peers

Percentiles among 901 evaluated ATT players with 900+ minutes.

Performance (last season, league)

Minutes
552 (20% of available)
Goals + assists / 90
0.16
Context-adjusted G+A / 90
0.34
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
18 (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)
1212
Opponent strength
1358
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)
€485k – €1.7M

Trajectory drivers: changed club; team strength down (-201 Elo).

Historical comparables (8): median 2-year value change +29% (IQR -42% to +80%).

Risk profile

Overall: Very High

  • ▲Small sample: 552 league minutes last season.
  • ⚠League level coefficient 0.56 (1.00 = big-five average): output may not translate.
  • ⚠League level estimated mainly from squad values (few matches vs other leagues).
  • ⚠Projection range wider than for most evaluated players.
  • ⚠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
20 (ATT)
Relative output kept
76%–104%
Held a regular role (900+ min)
50%
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.
2025/26Akron TogliattiPremier LigaRW1355220%010.160.34135812120.56
2024/25Футбольный клуб "Локомотив" МоскваPremier LigaRW1449018%020.370.34127014130.55
2023/24FK Nizhny NovgorodPremier LigaST18116543%400.310.50134211640.49
2022/23FK Nizhny NovgorodPremier LigaAM1041415%000.000.26131012260.53
2020/21Levante UDLaligaRW170%000.000.51155514611.10

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Russian CupAkron Togliatti28100—
2025/26Uefa Champions League QualifyingFerencvárosi TC113001391
2024/25Russian CupФутбольный клуб "Локомотив" Москва633302—
2024/25Uefa Champions League QualifyingFerencvárosi TC17001478
2023/24Russian CupFK Nizhny Novgorod634730—
2022/23Russian CupFK Nizhny Novgorod412001—
2020/21Copa Del ReyLevante UD13200—

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
Érick Moreno
Liga Portugal · 2017
26€750k€125kfell
Salim Cissé
Liga Portugal · 2016
24€850k€200kfell
Richmond Boakye
Eredivisie · 2016
23€1.5M€4.5Mrose
Fernando Aristeguieta
Liga Portugal · 2017
25€750k€1.5Mrose
Maciej Makuszewski
Liga Portugal · 2016
27€750k€1.3Mrose
Crislan
Liga Portugal · 2017
25€800k€800kflat
Chinonso Offor
Jupiler Pro League · 2023
23€600k€1.0Mrose
Nestoras Mytidis
Eredivisie · 2017
26€450k€350kfell

Transfer history

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

DateFromToFeeMV at time
30 Jun 2026Akron TolyattiFerencvárosFree / loan€1.0M
10 Sept 2025FerencvárosAkron TolyattiFree / loan€2.0M
30 Jun 2025Loko MoscowFerencvárosFree / loan€2.0M
6 Sept 2024FerencvárosLoko MoscowFree / loan€2.0M
17 Jan 2024Pari NNFerencváros€1.2M€1.8M
6 Jul 2022Atl. LevantePari NNFree / loan€600k
1 Jan 2020Levante U19Atl. LevanteUnknownData unavailable
1 Jul 2018Levante UD YoutLevante U19UnknownData unavailable
1 Jul 2017Ak. Loko U17Levante UD YoutUnknown€225k

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.