Christopher Nkunku

28 yrs · Striker (also AM, CM, SS) · France
AC Milan · Serie A · Foot: right · Height: 177 cm
Risk: ModerateConfidence: MediumSample: MediumDevelopment: LowContract: until 30 Jun 2030
Market value
€25.0M
Updated 7 days ago
Estimated acquisition
€17.0M – €29.1M
Estimated · 20–80% range
Model value
€17.2M – €23.7M
Performance-implied · estimated
Projected (24m)
€6.2M – €16.7M
Resale range · estimated
Potential value gap
-€11.9M – €6.7M
Model value − acquisition

Value picture

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

Estimated acquisition€17.0M – €29.1M
Model value (performance-implied)€17.2M – €23.7M
Projected value (24 months)€6.2M – €16.7M
Dashed line: current market value (€25.0M). Bars are 20–80% model ranges; tick = median.

The model rates Christopher Nkunku's performance-implied value at EUR 17.2M-23.7M, above the estimated acquisition range of EUR 17.0M-29.1M. Its 24-month market value projection is EUR 6.2M-16.7M. Context-adjusted goal contributions are 0.94x the positional average in the league (1351 minutes, league coefficient 0.93). Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.

Bargain Index: 1

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

PerformanceElite90.8th pct among ATT peers (age-neutral)
AgeUnfavorable28.6 years
Acquisition costNeutralest. €22.0M vs market €25.0M
Expected appreciationVery low-58% over ~2 years (model)
Value gapSmallweak 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: €80.0M

Profile vs positional peers

Percentiles among 900 evaluated ATT players with 900+ minutes.

Performance (last season, league)

Minutes
1351 (40% of available)
Goals + assists / 90
0.67
Context-adjusted G+A / 90
0.48
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
91 (Elite)

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)
1570
Opponent strength
1507
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)
€6.2M – €16.7M

Trajectory drivers: changed club; team strength down (-129 Elo); league level down (-108 Elo); relative output up 39% vs positional peers.

Historical comparables (8): median 2-year value change -65% (IQR -73% to -51%).

Risk profile

Overall: Moderate

  • ⚠Limited sample: 1351 league minutes last season.
  • ⚠Played under 40% of available league minutes (injury data unavailable, cause unknown).
  • ⓘ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.
2025/26AC MilanSerie AST32135140%730.670.48150715700.93
2024/25Chelsea FCPremier LeagueST2791027%320.490.36152716991.23
2023/24Chelsea FCPremier LeagueAM1143913%300.620.39156016291.14
2022/23RB LeipzigBundesligaSS25189762%1661.040.76152916851.04
2021/22RB LeipzigBundesligaSS34273389%20151.150.78151716631.05
2020/21RB LeipzigBundesligaAM28189462%670.620.37152216571.06
2019/20RB LeipzigBundesligaAM32192563%5150.940.52151417001.06
2018/19Paris Saint-GermainLigue 1CM22117134%320.380.14140017140.82
2017/18Paris Saint-GermainLigue 1CM2062218%400.580.18137317740.85
2016/17Paris Saint-GermainLigue 1CM839712%100.230.11136417570.88
2015/16Paris Saint-GermainLigue 1CM532910%000.000.07139517480.78

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Supercoppa ItalianaAC Milan190001647
2025/26Italy CupAC Milan28710—
2024/25Fa CupChelsea FC218010—
2024/25Uefa Conference League QualifyingChelsea FC2147201461
2023/24Fa CupChelsea FC1300—
2022/23Uefa Champions LeagueRB Leipzig7562311683
2022/23Dfb PokalRB Leipzig318431—
2022/23Franz Beckenbauer SupercupRB Leipzig190111847
2021/22Uefa Champions LeagueRB Leipzig6531721708
2021/22Uefa Europa LeagueRB Leipzig6526401613
2021/22Dfb PokalRB Leipzig648343—
2020/21Uefa Champions LeagueRB Leipzig7585121699
2020/21Dfb PokalRB Leipzig532102—
2019/20Uefa Champions LeagueRB Leipzig9513011663
2019/20Dfb PokalRB Leipzig316100—
2018/19Trophee Des ChampionsParis Saint-Germain190101620
2017/18Trophee Des ChampionsParis Saint-Germain11001727
2016/17Uefa Champions LeagueParis Saint-Germain121001900
2015/16Uefa Champions LeagueParis Saint-Germain13001615

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
André Schürrle
Bundesliga · 2018
28€15.0M€4.5Mfell
Arkadiusz Milik
Ligue 1 · 2022
28€16.0M€6.0Mfell
Lucas Alario
Bundesliga · 2021
29€20.0M€2.5Mfell
Stevan Jovetić
Serie A · 2016
27€15.0M€14.0Mflat
Gonçalo Guedes
Laliga · 2024
28€15.0M€6.0Mfell
Nicolas Pépé
Ligue 1 · 2023
28€18.0M€6.0Mfell
Gerard Moreno
Laliga · 2023
31€20.0M€4.0Mfell
Karim Bellarabi
Bundesliga · 2018
28€12.0M€12.0Mflat

Transfer history

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

DateFromToFeeMV at time
30 Aug 2025ChelseaAC Milan€37.0M€35.0M
1 Jul 2023LeipzigChelsea€60.0M€80.0M
18 Jul 2019PSGLeipzig€19.5M€12.0M
23 Dec 2015Paris SG BPSGUnknownData unavailable
1 Jul 2015Paris SG U19Paris SG BUnknownData unavailable
1 Jul 2014Paris SG U17Paris SG U19UnknownData unavailable
1 Jul 2012PSG YouthParis SG U17UnknownData unavailable
1 Jul 2010RCPF JugendPSG YouthFree / 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.

Christopher Nkunku · MoneyballAI