Mërgim Vojvoda

31 yrs · Right-back (also CB, LM, RM) · Kosovo
Como 1907 · Serie A · Foot: right · Height: 187 cm
Risk: ModerateConfidence: MediumSample: MediumDevelopment: LowContract: until 30 Jun 2028
Market value
€2.5M
Updated 6 days ago
Estimated acquisition
€1.0M – €2.5M
Estimated · 20–80% range
Model value
€2.3M – €8.9M
Performance-implied · estimated
Projected (24m)
€852k – €1.9M
Resale range · estimated
Potential value gap
-€258k – €7.9M
Model value − acquisition

Value picture

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

Estimated acquisition€1.0M – €2.5M
Model value (performance-implied)€2.3M – €8.9M
Projected value (24 months)€852k – €1.9M
Dashed line: current market value (€2.5M). Bars are 20–80% model ranges; tick = median.

The model rates Mërgim Vojvoda's performance-implied value at EUR 2.3M-8.9M, above the estimated acquisition range of EUR 1.0M-2.5M. Its 24-month market value projection is EUR 0.9M-1.9M. Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.

Bargain Index: 30

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

PerformanceHigh78.3th pct among DEF peers (age-neutral)
AgeUnfavorable31.4 years
Acquisition costVery favorableest. €1.4M vs market €2.5M
Expected appreciationVery low-52% over ~2 years (model)
Value gapVery largeweak predictor on its own
DevelopmentLow
League translationBig-five leagueleague coefficient 0.93
Tactical fitNot evaluatedRequires event/role data not available from the current free source.
RiskModerate
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: €5.5M

Profile vs positional peers

Percentiles among 1268 evaluated DEF players with 900+ minutes.

Performance (last season, league)

Minutes
1593 (47% of available)
Goals + assists / 90
0.23
Context-adjusted G+A / 90
0.23
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
78 (High)

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
0.93 (rank 4)
Team strength (Elo)
1589
Opponent strength
1510
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)
€852k – €1.9M

Trajectory drivers: changed club; team strength up (+130 Elo); role change CB -> RB; relative output up 58% vs positional peers.

Historical comparables (8): median 2-year value change -59% (IQR -68% to -41%).

Risk profile

Overall: Moderate

  • ⚠Limited sample: 1593 league minutes last season.
  • ⚠Age 31: 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).

Already playing in a big-five league.

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.
2025/26Como 1907Serie ARB30159347%220.230.23151015890.93
2024/25Torino FCSerie ACB17110832%000.000.04150514580.99
2024/25Como 1907Serie ARB1171821%120.380.26144914610.99
2023/24Torino FCSerie ALM28137240%030.200.22146415100.98
2022/23Torino FCSerie ALM29171450%050.260.24141614680.94
2021/22Torino FCSerie ALM29198058%030.140.21145014230.89
2020/21Torino FCSerie ARM24136540%220.260.29145413730.90
2020/21Standard LiègeJupiler Pro LeagueCB32709%000.000.03128113920.55
2019/20Standard LiègeJupiler Pro LeagueRB25211081%120.130.09138314580.63
2018/19Royal Excel Mouscron (-2022)Jupiler Pro LeagueRB29220382%110.080.14137413410.65
2017/18Royal Excel Mouscron (-2022)Jupiler Pro LeagueRB26203175%020.090.12135912070.63
2016/17Royal Excel Mouscron (-2022)Jupiler Pro LeagueRB21144654%000.000.06134112190.62

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Italy CupComo 1907422201—
2024/25Italy CupTorino FC19000—
2023/24Italy CupTorino FC221011—
2022/23Italy CupTorino FC320501—
2021/22Italy CupTorino FC13700—
2020/21Italy CupTorino FC18400—
2019/20Uefa Europa LeagueStandard Liège3270001532

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
Philipp Max
Bundesliga · 2024
31€2.0M€600kfell
Manuel Pasqual
Serie A · 2015
33€1.5M€500kfell
Paulão
Laliga · 2013
31€2.5M€1.2Mfell
Jonathan Brison
Ligue 1 · 2013
30€1.8M€500kfell
Alberto Moreno
Laliga · 2024
32€1.8M€1.0Mfell
Ermin Bicakcic
Bundesliga · 2020
30€2.8M€1.0Mfell
Patric
Serie A · 2022
29€5.5M€4.0Mfell
Óscar de Marcos
Laliga · 2022
33€1.8M€1.5Mflat

Transfer history

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

DateFromToFeeMV at time
3 Feb 2025TorinoComo€2.0M€3.0M
1 Sept 2020Standard LiègeTorino€5.2M€4.0M
1 Jul 2019MouscronStandard Liège€1.2M€1.0M
1 Jul 2016Standard U21MouscronFree / loan€75k
30 Jun 2016Carl Zeiss JenaStandard U21Free / loan€75k
1 Jul 2015Standard U21Carl Zeiss JenaFree / loan€100k
30 Jun 2015Sint-TruidenStandard U21Free / loan€100k
20 Aug 2014Standard U21Sint-TruidenFree / loanData unavailable
1 Jul 2013Standard U19Standard U21UnknownData unavailable
1 Jul 2011MVV U17Standard U19Free / loanData 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.

Mërgim Vojvoda · MoneyballAI