Lirim Qamili

28 yrs · Right winger · North Macedonia
Sönderjyske Fodbold · Superliga · Foot: left · Height: 191 cm
Risk: Very HighConfidence: LowSample: LowDevelopment: LowContract: until 30 Jun 2027
Market value
€900k
Updated 7 days ago
Estimated acquisition
€219k – €664k
Estimated · 20–80% range
Model value
€364k – €752k
Performance-implied · estimated
Projected (24m)
€486k – €930k
Resale range · estimated
Potential value gap
-€300k – €533k
Model value − acquisition

Value picture

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

Estimated acquisition€219k – €664k
Model value (performance-implied)€364k – €752k
Projected value (24 months)€486k – €930k
Dashed line: current market value (€900k). Bars are 20–80% model ranges; tick = median.

The model rates Lirim Qamili's performance-implied value at EUR 0.4M-0.8M, above the estimated acquisition range of EUR 0.2M-0.7M. Its 24-month market value projection is EUR 0.5M-0.9M. Context-adjusted goal contributions are 1.42x the positional average in the league (739 minutes, league coefficient 0.47). Confidence is low: 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: not assigned

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

Insufficient sample (< 900 league minutes)

PerformanceBelow average9.4th pct among ATT peers (age-neutral)
AgeUnfavorable28.1 years
Acquisition costVery favorableest. €292k vs market €900k
Expected appreciationNeutral-9% over ~2 years (model)
Value gapLargeweak predictor on its own
DevelopmentLow
League translationUncertainleague coefficient 0.47
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: €1.2M

Profile vs positional peers

Percentiles among 901 evaluated ATT players with 900+ minutes.

Performance (last season, league)

Minutes
739 (37% of available)
Goals + assists / 90
0.73
Context-adjusted G+A / 90
0.56
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
9 (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
0.47 (rank 12)
Team strength (Elo)
1242
Opponent strength
1271
Possession, role
Data unavailable

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

Potential

Development
Low
Trajectory
declining
Breakout probability
Age > 23
Resale range (24m)
€486k – €930k

Trajectory drivers: minutes share down 44 pts; team strength up (+181 Elo); league level up (+45 Elo).

Historical comparables (8): median 2-year value change -32% (IQR -49% to -3%).

Risk profile

Overall: Very High

  • ▲Small sample: 739 league minutes last season.
  • ⚠League level coefficient 0.47 (1.00 = big-five average): output may not translate.
  • ⚠No continental-competition minutes last season.
  • ⚠Contract ends in 12 months: cheaper, but competition and wage demands likely.
  • ⚠Played under 40% of available league minutes (injury data unavailable, cause unknown).
  • ⚠Declining trajectory versus previous season.
  • ⓘ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
78%–121%
Held a regular role (900+ min)
65%
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.
2025/26Sönderjyske FodboldSuperligaRW1573937%510.730.56127112420.47
2024/25Sönderjyske FodboldSuperligaRW19161482%840.670.71131510620.38
2023/24Hvidovre IFSuperligaRW19143572%320.310.54131211010.48
2022/23AC HorsensSuperligaRW7754%000.000.50130211570.47
2020/21AC HorsensSuperligaRW1663032%100.140.39127611210.43

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Oddset PokalenSönderjyske Fodbold16500—
2024/25Oddset PokalenSönderjyske Fodbold213511—
2024/25Oddset PokalenHvidovre IF11600—
2023/24Oddset PokalenHvidovre IF212300—
2022/23Oddset PokalenAC Horsens326510—
2020/21Oddset PokalenAC Horsens213900—
2020/21Oddset PokalenHvidovre IF18210—

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
Chigozie Udoji
Super League 1 · 2014
28€750k€350kfell
Louis Moult
Scottish Premiership · 2018
26€750k€400kfell
Vyacheslav Churko
Premier Liga · 2021
28€800k€700kflat
Julián Bartolo
Super League 1 · 2023
27€600k€800krose
Vitaliy Balashov
Premier Liga · 2020
29€475k€250kfell
Emmanuel Sabbi
Superliga · 2023
26€600k€1.5Mrose
Oleksandr Filippov
Jupiler Pro League · 2021
29€750k€200kfell
Gerso
Liga Portugal · 2017
26€1.8M€1.5Mflat

Transfer history

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

DateFromToFeeMV at time
10 Aug 2024HvidovreSönderjyske€225k€450k
1 Jan 2023AC HorsensHvidovreUnknown€300k
10 Sept 2020HvidovreAC HorsensUnknown€200k
1 Jul 2017Hvidovre U19HvidovreUnknownData unavailable
1 Jul 2016BK Frem U19Hvidovre 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.

Lirim Qamili · MoneyballAI