Mostafa Mohamed

28 yrs · Striker · Egypt
FC Nantes · Ligue 1 · Foot: right · Height: 185 cm
Risk: HighConfidence: MediumSample: MediumDevelopment: LowContract: until 30 Jun 2027
Market value
€3.5M
Updated 7 days ago
Estimated acquisition
€1.2M – €3.2M
Estimated · 20–80% range
Model value
€1.1M – €3.5M
Performance-implied · estimated
Projected (24m)
€1.1M – €3.0M
Resale range · estimated
Potential value gap
-€2.1M – €2.3M
Model value − acquisition

Value picture

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

Estimated acquisition€1.2M – €3.2M
Model value (performance-implied)€1.1M – €3.5M
Projected value (24 months)€1.1M – €3.0M
Dashed line: current market value (€3.5M). Bars are 20–80% model ranges; tick = median.

The model rates Mostafa Mohamed's performance-implied value at EUR 1.1M-3.5M, above the estimated acquisition range of EUR 1.2M-3.2M. Its 24-month market value projection is EUR 1.1M-3.0M. Context-adjusted goal contributions are 1.04x the positional average in the league (1151 minutes, league coefficient 0.88). 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: 54

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

PerformanceAverage45.5th pct among ATT peers (age-neutral)
AgeUnfavorable28.6 years
Acquisition costVery favorableest. €1.6M vs market €3.5M
Expected appreciationVery low-49% over ~2 years (model)
Value gapSmallweak predictor on its own
DevelopmentLow
League translationBig-five leagueleague coefficient 0.88
Tactical fitNot evaluatedRequires event/role data not available from the current free source.
RiskHigh
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: €10.0M

Profile vs positional peers

Percentiles among 900 evaluated ATT players with 900+ minutes.

Performance (last season, league)

Minutes
1151 (38% of available)
Goals + assists / 90
0.31
Context-adjusted G+A / 90
0.53
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
46 (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
0.88 (rank 5)
Team strength (Elo)
1304
Opponent strength
1501
Possession, role
Data unavailable

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

Potential

Development
Low
Trajectory
stable
Breakout probability
Age > 23
Resale range (24m)
€1.1M – €3.0M

Historical comparables (8): median 2-year value change -52% (IQR -67% to -26%).

Risk profile

Overall: High

  • ⚠Limited sample: 1151 league minutes last season.
  • ⚠No continental-competition minutes last season.
  • ⚠Contract ends in 12 months: cheaper, but competition and wage demands likely.
  • ⚠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.
2025/26FC NantesLigue 1ST24115138%400.310.53150113040.88
2024/25FC NantesLigue 1ST30124641%510.430.57144613570.88
2023/24FC NantesLigue 1ST29201766%820.450.63149613090.87
2022/23FC NantesLigue 1ST36193457%830.510.52143713490.82
2021/22GalatasaraySuper LigST27110132%730.820.52123313260.42
2020/21GalatasaraySuper LigST1690625%800.790.51126614250.37

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Africa Cup Of NationsEgypt618301—
2022/23Uefa Europa LeagueFC Nantes8622221522
2022/23Trophee Des ChampionsFC Nantes126001714
2021/22Uefa Europa LeagueGalatasaray7189001580
2021/22Uefa Europa League QualifyingGalatasaray4131011311
2021/22Uefa Champions League QualifyingGalatasaray274001579

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
Mevlüt Erdinc
Ligue 1 · 2016
29€3.0M€1.0Mfell
Khouma Babacar
Serie A · 2020
27€5.2M€3.0Mfell
Ibrahima Balde
Premier Liga · 2016
27€3.0M€550kfell
Keita Baldé
Serie A · 2022
27€3.0M€1.2Mfell
Luca Siligardi
Serie A · 2016
28€2.8M€900kfell
Luton Shelton
Premier Liga · 2014
29€1.9M€1.4Mfell
Opa Nguette
Ligue 1 · 2022
28€2.0M€1.5Mfell
Rémi Oudin
Serie A · 2023
27€4.0M€3.5Mflat

Transfer history

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

DateFromToFeeMV at time
1 Jul 2023GalatasarayFC Nantes€5.8M€6.0M
30 Jun 2023FC NantesGalatasarayFree / loan€6.0M
21 Jul 2022GalatasarayFC NantesFree / loan€6.5M
1 Jul 2022ZamalekGalatasaray€3.9M€6.5M
30 Jun 2022GalatasarayZamalekFree / loan€6.5M
1 Feb 2021ZamalekGalatasarayFree / loan€2.5M
1 Jul 2019Zamalek U21ZamalekUnknown€600k
30 Jun 2019Talaea El GaishZamalek U21Free / loan€600k
30 Jul 2018Zamalek U21Talaea El GaishFree / loan€300k
30 Jun 2018Tanta SCZamalek U21Free / loan€300k
7 Sept 2017Zamalek U21Tanta SCFree / loan€100k
30 Jun 2017El DakhliaZamalek U21Free / loan€50k
16 Aug 2016Zamalek U21El DakhliaFree / loan€25k

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.