İlkay Gündoğan

35 yrs · Central midfielder (also AM) · Germany
Manchester City · Premier League · Foot: right · Height: 180 cm
Risk: Very HighConfidence: MediumSample: MediumDevelopment: LowContract: until 30 Jun 2027
Market value
€2.0M
Updated 6 days ago
Estimated acquisition
€559k – €1.7M
Estimated · 20–80% range
Model value
€1.3M – €3.2M
Performance-implied · estimated
Projected (24m)
€481k – €1.5M
Resale range · estimated
Potential value gap
-€334k – €2.7M
Model value − acquisition

Value picture

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

Estimated acquisition€559k – €1.7M
Model value (performance-implied)€1.3M – €3.2M
Projected value (24 months)€481k – €1.5M
Dashed line: current market value (€2.0M). Bars are 20–80% model ranges; tick = median.

The model rates İlkay Gündoğan's performance-implied value at EUR 1.3M-3.2M, above the estimated acquisition range of EUR 0.6M-1.7M. Its 24-month market value projection is EUR 0.5M-1.5M. Context-adjusted goal contributions are 0.75x the positional average in the league (1391 minutes, league coefficient 0.40). Confidence is medium: 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.

Age above 33 (outside validated pool)

PerformanceHigh88.7th pct among MID peers (age-neutral)
AgeUnfavorable35.7 years
Acquisition costVery favorableest. €746k vs market €2.0M
Expected appreciationVery low-48% over ~2 years (model)
Value gapVery largeweak predictor on its own
DevelopmentLow
League translationUncertainleague coefficient 0.4
Tactical fitNot evaluatedRequires event/role data not available from the current free source.
RiskVery High
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: €50.0M

Profile vs positional peers

Percentiles among 1163 evaluated MID players with 900+ minutes.

Performance (last season, league)

Minutes
1391 (46% of available)
Goals + assists / 90
0.39
Context-adjusted G+A / 90
0.16
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
89 (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
0.40 (rank 1)
Team strength (Elo)
1501
Opponent strength
1248
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)
€481k – €1.5M

Trajectory drivers: minutes share down 20 pts; changed club; team strength down (-248 Elo); league level down (-321 Elo).

Historical comparables (8): median 2-year value change -69% (IQR -75% to -58%).

Risk profile

Overall: Very High

  • ▲Age 36: resale value typically declines.
  • ⚠Limited sample: 1391 league minutes last season.
  • ⚠League level coefficient 0.40 (1.00 = big-five average): output may not translate.
  • ⚠Contract ends in 12 months: cheaper, but competition and wage demands likely.
  • ⚠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
35 (MID)
Relative output kept
77%–144%
Held a regular role (900+ min)
69%
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.
2025/26GalatasaraySuper LigCM24139145%240.390.16124815010.40
2024/25Manchester CityPremier LeagueCM33222965%170.320.18156917491.23
2023/24FC BarcelonaLaligaCM36299888%590.420.29149417231.00
2022/23Manchester CityPremier LeagueCM31235969%850.500.21154219151.23
2021/22Manchester CityPremier LeagueCM27185554%830.530.22153118661.17
2020/21Manchester CityPremier LeagueCM28203159%1330.710.33154118831.19
2019/20Manchester CityPremier LeagueCM31201759%210.130.10160818481.14
2018/19Manchester CityPremier LeagueCM31213562%630.380.16152019241.22
2017/18Manchester CityPremier LeagueCM30151044%410.300.16156618311.15
2016/17Manchester CityPremier LeagueCM1071021%310.510.24153017131.07
2015/16Borussia DortmundBundesligaCM25199365%130.180.12151817181.02
2014/15Borussia DortmundBundesligaCM23191162%340.330.20150716221.03
2013/14Borussia DortmundBundesligaAM1572%000.000.16144617511.03
2012/13Borussia DortmundBundesligaCM28212669%330.250.16143017461.11

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Uefa Champions LeagueGalatasaray8415001645
2024/25Uefa Champions LeagueManchester City10523201636
2024/25Fa CupManchester City637400—
2023/24Uefa Champions LeagueFC Barcelona10835041638
2023/24SupercopaFC Barcelona2180011625
2023/24Copa Del ReyFC Barcelona316700—
2022/23Uefa Champions LeagueManchester City13997121685
2022/23Fa CupManchester City325520—
2022/23Community ShieldManchester City117001881
2021/22Uefa Champions LeagueManchester City10659021664
2021/22Fa CupManchester City435321—
2021/22Community ShieldManchester City165001585
2020/21Uefa Champions LeagueManchester City12977311641
2020/21Fa CupManchester City419511—
2019/20Uefa Champions LeagueManchester City9810221635
2019/20Fa CupManchester City430811—
2019/20Community ShieldManchester City129001928
2018/19Uefa Champions LeagueManchester City8590011616
2018/19Fa CupManchester City644104—
2018/19Community ShieldManchester City145001667
2017/18Uefa Champions LeagueManchester City9503221642
2017/18Fa CupManchester City325602—
2016/17Uefa Champions LeagueManchester City6520211676
2015/16Dfb PokalBorussia Dortmund536911—
2015/16Uefa Europa LeagueBorussia Dortmund6324001527
2015/16Uefa Europa League QualifyingBorussia Dortmund4323131439
2014/15Dfb PokalBorussia Dortmund442000—
2014/15Uefa Champions LeagueBorussia Dortmund6384011665
2013/14Franz Beckenbauer SupercupBorussia Dortmund188101903
2013/14Dfb PokalBorussia Dortmund18200—

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
Mathieu Valbuena
Super League 1 · 2021
37€1.0M€400kfell
Mehmet Topal
Super Lig · 2020
34€900k€100kfell
Alejandro Domínguez
Super League 1 · 2016
35€1.0M€300kfell
Marek Hamsik
Super Lig · 2022
35€2.5M€1.2Mfell
Costin Lazar
Super League 1 · 2014
33€1.2M€250kfell
Christian Poulsen
Eredivisie · 2014
34€1.5M€400kfell
Jens Jønsson
Super League 1 · 2024
31€2.5M€800kfell
Filip Djuricic
Super League 1 · 2024
32€1.5M€800kfell

Transfer history

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

DateFromToFeeMV at time
2 Sept 2025Man CityGalatasarayFree / loan€5.0M
23 Aug 2024BarcelonaMan CityFree / loan€15.0M
1 Jul 2023Man CityBarcelonaFree / loan€20.0M
1 Jul 2016DortmundMan City€27.0M€30.0M
1 Jul 20111.FC NurembergDortmund€5.5M€6.5M
3 Feb 2009VfL Bochum U191.FC Nuremberg€850k€100k
1 Jul 2007VfL Bochum U17VfL Bochum U19UnknownData unavailable
1 Jul 2005SSV Buer Yth.VfL Bochum U17Free / loanData unavailable
1 Jul 2004Heßler 06 Yth.SSV Buer Yth.Free / loanData unavailable
1 Jul 1999Schalke 04 Yth.Heßler 06 Yth.Free / loanData unavailable
1 Jul 1998Heßler 06 Yth.Schalke 04 Yth.Free / 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.