Andreas Cornelius

33 yrs · Striker · Denmark
FC Copenhagen · Superliga · Foot: left · Height: 193 cm
Risk: Very HighConfidence: LowSample: LowDevelopment: LowContract: until 30 Jun 2027
Market value
€250k
Updated 6 days ago
Estimated acquisition
€70k – €300k
Estimated · 20–80% range
Model value
€214k – €1.5M
Performance-implied · estimated
Projected (24m)
€101k – €245k
Resale range · estimated
Potential value gap
-€87k – €1.4M
Model value − acquisition

Value picture

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

Estimated acquisition€70k – €300k
Model value (performance-implied)€214k – €1.5M
Projected value (24 months)€101k – €245k
Dashed line: current market value (€250k). Bars are 20–80% model ranges; tick = median.

The model rates Andreas Cornelius's performance-implied value at EUR 0.2M-1.5M, above the estimated acquisition range of EUR 0.1M-0.3M. Its 24-month market value projection is EUR 0.1M-0.2M. Context-adjusted goal contributions are 0.50x the positional average in the league (493 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 average29.1th pct among ATT peers (age-neutral)
AgeUnfavorable33.3 years
Acquisition costVery favorableest. €93k vs market €250k
Expected appreciationLow-15% over ~2 years (model)
Value gapVery largeweak 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: €12.0M

Profile vs positional peers

Percentiles among 901 evaluated ATT players with 900+ minutes.

Performance (last season, league)

Minutes
493 (25% of available)
Goals + assists / 90
0.00
Context-adjusted G+A / 90
0.25
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
29 (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)
1359
Opponent strength
1247
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)
€101k – €245k

Trajectory drivers: league level up (+45 Elo).

Historical comparables (8): median 2-year value change -68% (IQR -79% to -47%).

Risk profile

Overall: Very High

  • ▲Small sample: 493 league minutes last season.
  • ▲Age 33: resale value typically declines.
  • ⚠League level coefficient 0.47 (1.00 = big-five average): output may not translate.
  • ⚠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.
2025/26FC CopenhagenSuperligaST1149325%000.000.25124713590.47
2024/25FC CopenhagenSuperligaST1068034%210.400.32128613990.38
2023/24FC CopenhagenSuperligaST1243922%110.410.32126915170.48
2022/23FC CopenhagenSuperligaST742922%000.000.25126014920.47
2022/23TrabzonsporSuper LigST434511%110.520.36126313770.50
2021/22TrabzonsporSuper LigST37243271%1550.740.47125114330.42
2020/21Parma Calcio 1913Serie AST29190156%150.280.43145112520.90
2019/20Parma Calcio 1913Serie AST26149044%1240.970.86142413730.82
2018/19FC Girondins BordeauxLigue 1ST2078023%310.460.45141314080.82
2017/18Atalanta BCSerie AST2392727%310.390.39147615560.86
2016/17FC CopenhagenSuperligaST21132156%950.950.47128915950.48
2015/16FC CopenhagenSuperligaST26123942%520.510.38128015000.53
2014/15FC CopenhagenSuperligaST22188463%600.290.34135914210.48
2013/14FC CopenhagenSuperligaST13115639%500.390.38133514710.63
2013/14Cardiff CityPremier LeagueST81073%000.000.58149913531.12
2012/13FC CopenhagenSuperligaST32262888%1840.750.49132214770.54

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Uefa Champions League QualifyingFC Copenhagen6441221398
2025/26Uefa Champions LeagueFC Copenhagen3100101652
2025/26Oddset PokalenFC Copenhagen22200—
2024/25Oddset PokalenFC Copenhagen622601—
2023/24Oddset PokalenFC Copenhagen318100—
2023/24Uefa Champions LeagueFC Copenhagen379001801
2023/24Uefa Champions League QualifyingFC Copenhagen129001550
2022/23Uefa Champions League QualifyingTrabzonspor2180001478
2022/23Uefa Champions LeagueFC Copenhagen2108001639
2022/23Oddset PokalenFC Copenhagen15920—
2021/22Uefa Conference League QualifyingTrabzonspor246101599
2020/21Italy CupParma Calcio 191317400—
2019/20Italy CupParma Calcio 191314500—
2018/19Uefa Europa LeagueFC Girondins Bordeaux5243011479
2018/19Uefa Europa League QualifyingAtalanta BC487101484
2017/18Italy CupAtalanta BC424310—
2017/18Uefa Europa LeagueAtalanta BC425201515
2016/17Uefa Champions LeagueFC Copenhagen5450101550
2016/17Uefa Champions League QualifyingFC Copenhagen6434511353
2016/17Uefa Europa LeagueFC Copenhagen4360101577
2016/17Oddset PokalenFC Copenhagen426020—
2015/16Oddset PokalenFC Copenhagen660010—
2014/15Uefa Europa LeagueFC Copenhagen4360011400
2014/15Uefa Champions League QualifyingFC Copenhagen4315101580
2014/15Oddset PokalenFC Copenhagen323610—
2013/14Oddset PokalenFC Copenhagen327010—
2013/14Fa CupCardiff City210500—
2012/13Uefa Europa LeagueFC Copenhagen6446111441
2012/13Uefa Champions League QualifyingFC Copenhagen4194001488
2012/13Oddset PokalenFC Copenhagen214710—

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
Yasin Öztekin
Super Lig · 2021
34€350k€50kfell
David Moberg Karlsson
Super League 1 · 2024
30€750k€750kflat
Oleksandr Mandzyuk
Premier Liga · 2014
31€500k€125kfell
Johan Elmander
Superliga · 2015
34€1.0M€200kfell
Ryan Babel
Super Lig · 2022
36€350k€150kfell
Eidur Gudjohnsen
Jupiler Pro League · 2014
36€500k€200kfell
Nick van der Velden
Eredivisie · 2015
34€600k€125kfell
Colin McMenamin
Scottish Premiership · 2013
32€300k€300kflat

Transfer history

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

DateFromToFeeMV at time
31 Aug 2022TrabzonsporCopenhagen€6.0M€9.0M
10 Aug 2021ParmaTrabzonspor€5.1M€6.0M
1 Jul 2021AtalantaParma€8.4M€6.0M
30 Jun 2021ParmaAtalantaFree / loan€6.0M
18 Jul 2019AtalantaParmaFree / loan€3.0M
30 Jun 2019G. BordeauxAtalantaFree / loan€3.0M
31 Aug 2018AtalantaG. BordeauxFree / loan€3.0M
1 Jul 2017CopenhagenAtalanta€6.0M€3.0M
31 Jan 2014CardiffCopenhagen€3.5M€6.0M
1 Jul 2013CopenhagenCardiff€8.7M€4.5M
1 Jul 2012Copenhagen U19CopenhagenUnknownData unavailable
1 Jul 2010FCK YouthCopenhagen U19UnknownData 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.

Andreas Cornelius · MoneyballAI