Thomas Delaney

35 yrs · Central midfielder (also DM) · Denmark
FC Copenhagen · Superliga · Foot: left · Height: 182 cm
Risk: Very HighConfidence: LowSample: LowDevelopment: LowContract: until 30 Jun 2027
Market value
€500k
Updated 7 days ago
Estimated acquisition
€131k – €432k
Estimated · 20–80% range
Model value
€399k – €721k
Performance-implied · estimated
Projected (24m)
€236k – €491k
Resale range · estimated
Potential value gap
-€33k – €590k
Model value − acquisition

Value picture

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

Estimated acquisition€131k – €432k
Model value (performance-implied)€399k – €721k
Projected value (24 months)€236k – €491k
Dashed line: current market value (€500k). Bars are 20–80% model ranges; tick = median.

The model rates Thomas Delaney's performance-implied value at EUR 0.4M-0.7M, above the estimated acquisition range of EUR 0.1M-0.4M. Its 24-month market value projection is EUR 0.2M-0.5M. Context-adjusted goal contributions are 0.70x the positional average in the league (741 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)

PerformanceAverage41.8th pct among MID peers (age-neutral)
AgeUnfavorable34.8 years
Acquisition costVery favorableest. €175k vs market €500k
Expected appreciationVery low-32% 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: €27.0M

Profile vs positional peers

Percentiles among 1164 evaluated MID players with 900+ minutes.

Performance (last season, league)

Minutes
741 (37% of available)
Goals + assists / 90
0.24
Context-adjusted G+A / 90
0.15
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
42 (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
1241
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)
€236k – €491k

Trajectory drivers: minutes share down 23 pts; league level up (+45 Elo); relative output down 26% vs positional peers.

Historical comparables (8): median 2-year value change -50% (IQR -68% to -22%).

Risk profile

Overall: Very High

  • ▲Small sample: 741 league minutes last season.
  • ▲Age 35: 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
23 (MID)
Relative output kept
68%–122%
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 CopenhagenSuperligaCM1474137%020.240.15124113590.47
2024/25FC CopenhagenSuperligaCM16120661%320.370.20130613990.38
2023/24RSC AnderlechtJupiler Pro LeagueCM1491534%110.200.16137915160.63
2022/23Sevilla FCLaligaCM83069%000.000.16155015830.98
2022/23TSG 1899 HoffenheimBundesligaCM629910%000.000.16145814441.04
2021/22Sevilla FCLaligaCM26154445%210.170.16153716361.05
2021/22Borussia DortmundBundesligaDM1171%000.000.08160216431.05
2020/21Borussia DortmundBundesligaDM20128942%110.140.09157117031.06
2019/20Borussia DortmundBundesligaDM1183427%000.000.04153817001.06
2018/19Borussia DortmundBundesligaCM30228875%360.350.17148716831.05
2017/18SV Werder BremenBundesligaCM32279691%350.260.28151515101.04
2016/17FC CopenhagenSuperligaCM19155666%620.460.25131915950.48
2016/17SV Werder BremenBundesligaDM1391930%410.490.37160415161.06
2015/16FC CopenhagenSuperligaCM29257687%550.350.24129915000.53
2014/15FC CopenhagenSuperligaCM27217573%220.170.16136414210.48
2013/14FC CopenhagenSuperligaCM32252385%310.140.15133214710.63
2012/13FC CopenhagenSuperligaCM21135646%130.270.19133914770.54

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Uefa Champions LeagueFC Copenhagen4176001597
2025/26Uefa Champions League QualifyingFC Copenhagen2135001378
2025/26Oddset PokalenFC Copenhagen411900—
2024/25Oddset PokalenFC Copenhagen317910—
2024/25Uefa Conference League QualifyingFC Copenhagen3142001360
2022/23Uefa Champions LeagueSevilla FC4229001712
2022/23Dfb PokalTSG 1899 Hoffenheim14500—
2021/22Uefa Champions LeagueSevilla FC4200001579
2021/22Uefa Europa LeagueSevilla FC3194001626
2021/22Copa Del ReySevilla FC28200—
2021/22Dfb PokalBorussia Dortmund1500—
2020/21Uefa Champions LeagueBorussia Dortmund7429011597
2020/21Dfb PokalBorussia Dortmund638902—
2020/21Franz Beckenbauer SupercupBorussia Dortmund190011919
2019/20Uefa Champions LeagueBorussia Dortmund3245001658
2018/19Uefa Champions LeagueBorussia Dortmund6297001714
2018/19Dfb PokalBorussia Dortmund217700—
2017/18Dfb PokalSV Werder Bremen438201—
2016/17Uefa Champions LeagueFC Copenhagen6540111553
2016/17Uefa Champions League QualifyingFC Copenhagen5450121382
2015/16Oddset PokalenFC Copenhagen540410—
2015/16Uefa Europa League QualifyingFC Copenhagen4360001366
2014/15Oddset PokalenFC Copenhagen649410—
2014/15Uefa Champions League QualifyingFC Copenhagen4360001587
2014/15Uefa Europa LeagueFC Copenhagen5304001438
2013/14Uefa Champions LeagueFC Copenhagen6526001720
2013/14Oddset PokalenFC Copenhagen526401—
2012/13Uefa Europa LeagueFC Copenhagen6458001436
2012/13Oddset PokalenFC Copenhagen327000—
2012/13Uefa Champions League QualifyingFC Copenhagen217001541

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
Javier Matilla
Super League 1 · 2022
34€350k€175kfell
Hakan Arslan
Super Lig · 2023
35€375k€100kfell
Sergiy Nazarenko
Premier Liga · 2015
35€300k€100kfell
Pitu García
Super League 1 · 2016
32€700k€500kfell
Chris Millar
Scottish Premiership · 2017
34€400k€200kfell
Kasper Risgaard
Superliga · 2018
35€300k€300kflat
Edmar Galovskyi
Premier Liga · 2015
35€800k€200kfell
Gary McDonald
Scottish Premiership · 2015
33€350k€350kflat

Transfer history

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

DateFromToFeeMV at time
20 Jul 2024Sevilla FCCopenhagenFree / loan€2.5M
30 Jun 2024RSC AnderlechtSevilla FCFree / loan€2.5M
22 Aug 2023Sevilla FCRSC AnderlechtFree / loan€2.0M
30 Jun 2023HoffenheimSevilla FCFree / loan€2.0M
30 Jan 2023Sevilla FCHoffenheimFree / loan€3.0M
25 Aug 2021DortmundSevilla FC€6.0M€15.0M
1 Jul 2018Werder BremenDortmund€20.0M€12.0M
1 Jan 2017CopenhagenWerder Bremen€2.0M€3.5M
1 Jul 2009Copenhagen U19CopenhagenUnknown€100k
1 Jul 2007FCK 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.