Edson Fernando

28 yrs · Defensive midfielder · Brazil
Karpaty Lviv · Premier Liga · Foot: right · Height: 178 cm
Risk: HighConfidence: MediumSample: MediumDevelopment: LowContract: until 31 Dec 2026
Market value
€500k
Updated 6 days ago
Estimated acquisition
€0 – €153k
Estimated · 20–80% range
Model value
€215k – €529k
Performance-implied · estimated
Projected (24m)
€219k – €558k
Resale range · estimated
Potential value gap
€62k – €529k
Model value − acquisition

Value picture

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

Estimated acquisition€0 – €153k
Model value (performance-implied)€215k – €529k
Projected value (24 months)€219k – €558k
Dashed line: current market value (€500k). Bars are 20–80% model ranges; tick = median.

The model rates Edson Fernando's performance-implied value at EUR 0.2M-0.5M, above the estimated acquisition range of EUR 0.0M-0.2M. Its 24-month market value projection is EUR 0.2M-0.6M. Context-adjusted goal contributions are 1.23x the positional average in the league (1323 minutes, league coefficient 0.25). 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 ends within 6 months: can sign a pre-contract; small or no fee.

Bargain Index: 86

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

PerformanceBelow average0.7th pct among MID peers (age-neutral)
AgeUnfavorable28.2 years
Acquisition costVery favorableest. €27k vs market €500k
Expected appreciationVery low-26% over ~2 years (model)
Value gapVery largeweak predictor on its own
DevelopmentLow
League translationUncertainleague coefficient 0.25
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: €800k

Profile vs positional peers

Percentiles among 1163 evaluated MID players with 900+ minutes.

Performance (last season, league)

Minutes
1323 (49% of available)
Goals + assists / 90
0.20
Context-adjusted G+A / 90
0.13
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
1 (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
0.25 (rank 30)
Team strength (Elo)
1105
Opponent strength
1182
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)
€219k – €558k

Historical comparables (8): median 2-year value change -32% (IQR -41% to -10%).

Risk profile

Overall: High

  • ▲League level coefficient 0.25 (1.00 = big-five average): output may not translate.
  • ⚠Limited sample: 1323 league minutes last season.
  • ⚠No continental-competition minutes last season.
  • ⚠Contract ends in 6 months: cheaper, but competition and wage demands likely.
  • ⓘ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
37 (all positions)
Relative output kept
87%–128%
Held a regular role (900+ min)
86%
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.
2025/26Rukh LvivPremier LigaDM1282130%010.110.13118210390.25
2025/26Karpaty LvivPremier LigaDM850219%020.360.19114512130.25
2024/25Rukh LvivPremier LigaDM528010%010.320.19122711990.28
2023/24Rukh LvivPremier LigaDM1386132%000.000.06126612650.34
2022/23Rukh LvivPremier LigaDM527510%000.000.12139412180.38

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Ukrainian CupRukh Lviv324700—
2024/25Ukrainian CupRukh Lviv11500—

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
Alper Potuk
Super Lig · 2021
30€350k€200kfell
Sergiy Petko
Premier Liga · 2024
30€300k€150kfell
Javier Mendoza
Super League 1 · 2022
30€400k€400kflat
Artur Avagimyan
Premier Liga · 2024
27€500k€300kfell
August Erlingmark
Super League 1 · 2023
25€700k€800kflat
Orest Kuzyk
Premier Liga · 2023
28€500k€300kfell
Caleb Stanko
Super League 1 · 2023
30€400k€350kflat
Juanpi
Super League 1 · 2024
30€450k€350kfell

Transfer history

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

DateFromToFeeMV at time
15 Jan 2026Rukh LvivKarpaty Lviv€400k€600k
31 Dec 2024FC JuárezRukh LvivFree / loan€700k
2 Feb 2024Rukh LvivFC JuárezFree / loan€500k
31 Dec 2022Atlético-GORukh LvivFree / loan€500k
12 Apr 2022Rukh LvivAtlético-GOFree / loan€500k
27 Jan 2022EC BahiaRukh LvivFree / loan€500k
1 Jul 2020Bahia BEC BahiaUnknown€50k
1 May 2019GloboBahia BFree / loanData unavailable
1 Jan 2019AlecrimGloboFree / loanData unavailable
1 Mar 2018Votuporang. U20AlecrimFree / loanData unavailable
1 Oct 2017AlecrimVotuporang. U20Free / loanData unavailable
30 Sept 2017Vitória U20AlecrimFree / loanData unavailable
13 Mar 2017AlecrimVitória U20Free / loanData unavailable
1 Jan 2017Alecrim-RN U20AlecrimUnknownData 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.