Dan Ndoye

25 yrs · Right winger (also LW) · Switzerland
Nottingham Forest · Premier League · Foot: right · Height: 184 cm
Risk: ModerateConfidence: MediumSample: MediumDevelopment: ModerateContract: until 30 Jun 2030
Market value
€32.0M
Updated 6 days ago
Estimated acquisition
€20.0M – €41.2M
Estimated · 20–80% range
Model value
€11.7M – €35.5M
Performance-implied · estimated
Projected (24m)
€18.0M – €39.4M
Resale range · estimated
Potential value gap
-€29.5M – €15.4M
Model value − acquisition

Value picture

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

Estimated acquisition€20.0M – €41.2M
Model value (performance-implied)€11.7M – €35.5M
Projected value (24 months)€18.0M – €39.4M
Dashed line: current market value (€32.0M). Bars are 20–80% model ranges; tick = median.

The model rates Dan Ndoye's performance-implied value at EUR 11.7M-35.5M, below the estimated acquisition range of EUR 20.0M-41.2M. Its 24-month market value projection is EUR 18.0M-39.4M. Context-adjusted goal contributions are 0.71x the positional average in the league (1176 minutes, league coefficient 1.30). Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.

Bargain Index: 26

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

PerformanceHigh87.3th pct among ATT peers (age-neutral)
AgeNeutral25.7 years
Acquisition costNeutralest. €30.8M vs market €32.0M
Expected appreciationLow-21% over ~2 years (model)
Value gapNegativeweak 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 900 evaluated ATT players with 900+ minutes.

Performance (last season, league)

Minutes
1176 (34% of available)
Goals + assists / 90
0.15
Context-adjusted G+A / 90
0.28
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
87 (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
1.30 (rank 1)
Team strength (Elo)
1635
Opponent strength
1569
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)
€18.0M – €39.4M

Trajectory drivers: minutes share down 29 pts; changed club; team strength up (+76 Elo); league level up (+111 Elo); role change LW -> RW; relative output down 30% vs positional peers.

Historical comparables (8): median 2-year value change -27% (IQR -56% to +2%).

Risk profile

Overall: Moderate

  • ⚠Limited sample: 1176 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.
2025/26Nottingham ForestPremier LeagueRW24117634%110.150.28156916351.30
2024/25Bologna Football Club 1909Serie ALW30215163%840.500.43150015590.99
2023/24Bologna Football Club 1909Serie ARW32177652%120.150.23149915790.98
2020/21OGC NiceLigue 1RW2853015%110.340.41143913980.75

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Uefa Europa LeagueNottingham Forest12769111524
2025/26World CupSwitzerland314600—
2025/26Fa CupNottingham Forest16900—
2024/25Uefa Champions LeagueBologna Football Club 19098619001624
2024/25Italy CupBologna Football Club 1909325212—
2023/24Uefa Conference League QualifyingFC Basel 18932177011344
2023/24Italy CupBologna Football Club 1909212510—
2020/21Uefa Europa LeagueOGC Nice2100001463

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
Gianluca Scamacca
Premier League · 2023
24€22.0M€24.0Mflat
Richarlison
Premier League · 2023
26€48.0M€20.0Mfell
Steven Bergwijn
Premier League · 2021
24€22.0M€22.0Mflat
Youssef En-Nesyri
Laliga · 2022
25€25.0M€20.0Mfell
Diogo Jota
Premier League · 2021
25€45.0M€50.0Mflat
Daniel James
Premier League · 2021
24€18.0M€12.0Mfell
Yevgen Konoplyanka
Laliga · 2016
27€25.0M€10.0Mfell
Adama Traoré
Premier League · 2022
26€20.0M€9.0Mfell

Transfer history

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

DateFromToFeeMV at time
31 Jul 2025BolognaNott'm Forest€42.0M€35.0M
14 Aug 2023BaselBologna€16.4M€3.5M
1 Jul 2022NiceBasel€2.0M€4.0M
30 Jun 2022BaselNiceFree / loan€4.0M
31 Aug 2021NiceBaselFree / loan€4.0M
1 Aug 2020Lausanne-SportNiceFree / loan€1.3M
28 Jan 2020NiceLausanne-SportFree / loan€1.0M
27 Jan 2020Lausanne-SportNiceUnknown€1.0M
11 Feb 2019Team Vaud U21Lausanne-SportUnknownData unavailable
1 Jan 2018Team Vaud U18Team Vaud U21UnknownData unavailable
1 Jul 2017Team Vaud U17Team Vaud U18UnknownData unavailable
1 Jul 2016Lausanne Yth.Team Vaud U17UnknownData unavailable
1 Jul 2014FC Stade NyonnaiLausanne 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.