Rayan Aït-Nouri

25 yrs · Left-back (also LM) · Algeria
Manchester City · Premier League · Foot: left · Height: 180 cm
Risk: ModerateConfidence: MediumSample: MediumDevelopment: ModerateContract: until 30 Jun 2030
Market value
€40.0M
Updated 6 days ago
Estimated acquisition
€24.6M – €55.3M
Estimated · 20–80% range
Model value
€24.5M – €41.0M
Performance-implied · estimated
Projected (24m)
€18.7M – €43.3M
Resale range · estimated
Potential value gap
-€30.8M – €16.4M
Model value − acquisition

Value picture

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

Estimated acquisition€24.6M – €55.3M
Model value (performance-implied)€24.5M – €41.0M
Projected value (24 months)€18.7M – €43.3M
Dashed line: current market value (€40.0M). Bars are 20–80% model ranges; tick = median.

The model rates Rayan Aït-Nouri's performance-implied value at EUR 24.5M-41.0M, below the estimated acquisition range of EUR 24.6M-55.3M. Its 24-month market value projection is EUR 18.7M-43.3M. Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.

Bargain Index: 16

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

PerformanceElite93.3th pct among DEF peers (age-neutral)
AgeNeutral25.1 years
Acquisition costNeutralest. €43.4M vs market €40.0M
Expected appreciationLow-21% over ~2 years (model)
Value gapVery negativeweak predictor on its own
DevelopmentModerate
League translationBig-five leagueleague coefficient 1.3
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: €40.0M

Profile vs positional peers

Percentiles among 1268 evaluated DEF players with 900+ minutes.

Performance (last season, league)

Minutes
976 (28% of available)
Goals + assists / 90
0.18
Context-adjusted G+A / 90
0.12
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
93 (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
1.30 (rank 1)
Team strength (Elo)
1809
Opponent strength
1571
Possession, role
Data unavailable

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

Potential

Development
Moderate
Trajectory
declining
Breakout probability
Age > 23
Resale range (24m)
€18.7M – €43.3M

Trajectory drivers: minutes share down 63 pts; changed club; team strength up (+308 Elo); role change LM -> LB; relative output down 53% vs positional peers.

Historical comparables (8): median 2-year value change -23% (IQR -30% to +19%).

Risk profile

Overall: Moderate

  • ⚠Limited sample: 976 league minutes last season.
  • ⚠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).

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.
2025/26Manchester CityPremier LeagueLB1797629%020.180.12157118091.30
2024/25Wolverhampton WanderersPremier LeagueLM37312891%470.320.39157715011.23
2023/24Wolverhampton WanderersPremier LeagueLM33234369%210.120.12158414671.14
2022/23Wolverhampton WanderersPremier LeagueLB21107031%100.080.16156414971.23
2021/22Wolverhampton WanderersPremier LeagueLM23182853%140.250.26158615081.17
2020/21Wolverhampton WanderersPremier LeagueLB21140541%110.130.12153415161.19
2020/21Angers SCOLigue 1LB31875%010.480.27155013260.75
2019/20Angers SCOLigue 1LB17128651%030.210.22144314150.82
2018/19Angers SCOLigue 1LB3542%000.000.20159714090.82

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Africa Cup Of NationsAlgeria535601—
2025/26Uefa Champions LeagueManchester City6339001621
2025/26World CupAlgeria319400—
2025/26Fa CupManchester City213501—
2024/25Fa CupWolverhampton Wanderers321710—
2023/24Fa CupWolverhampton Wanderers320011—
2022/23Fa CupWolverhampton Wanderers216300—
2021/22Fa CupWolverhampton Wanderers218001—
2020/21Fa CupWolverhampton Wanderers322500—

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
Jordi Alba
Laliga · 2014
25€25.0M€35.0Mrose
Nathan Aké
Premier League · 2021
26€32.0M€42.0Mrose
Aymeric Laporte
Premier League · 2020
26€60.0M€45.0Mfell
David Luiz
Premier League · 2014
27€26.0M€30.0Mflat
Niklas Süle
Bundesliga · 2020
25€48.0M€35.0Mfell
Álvaro Odriozola
Laliga · 2019
24€25.0M€10.0Mfell
Héctor Bellerín
Premier League · 2019
24€40.0M€25.0Mfell
Renan Lodi
Laliga · 2021
23€25.0M€20.0Mfell

Transfer history

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

DateFromToFeeMV at time
9 Jun 2025WolvesMan City€36.8M€35.0M
9 Jul 2021Angers SCOWolves€11.1M€18.0M
30 Jun 2021WolvesAngers SCOFree / loan€18.0M
4 Oct 2020Angers SCOWolvesFree / loan€20.0M
1 Jul 2018Angers SCO U19Angers SCOUnknownData unavailable
1 Jul 2016Paris FC Yth.Angers SCO 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.