
Anis Hadj Moussa
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Anis Hadj Moussa's performance-implied value at EUR 1.6M-12.3M, below the estimated acquisition range of EUR 15.7M-30.2M. Its 24-month market value projection is EUR 11.4M-28.2M. Context-adjusted goal contributions are 0.91x the positional average in the league (2554 minutes, league coefficient 0.43). Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.
Bargain Index: 24
What drives the score. Not a black box: each component and its level.
| Performance | Above average | 58.7th pct among ATT peers (age-neutral) |
| Age | Neutral | 24.4 years |
| Acquisition cost | Neutral | est. €22.2M vs market €23.0M |
| Expected appreciation | Low | -23% over ~2 years (model) |
| Value gap | Very negative | weak predictor on its own |
| Development | Moderate | |
| League translation | Uncertain | league coefficient 0.43 |
| Tactical fit | Not evaluated | Requires event/role data not available from the current free source. |
| Risk | Low | |
| Data confidence | Medium |
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.
Profile vs positional peers
Percentiles among 900 evaluated ATT players with 900+ minutes.
Performance (last season, league)
- Minutes
- 2554 (84% of available)
- Goals + assists / 90
- 0.60
- Context-adjusted G+A / 90
- 0.36
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 59 (Above 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
- 0.43 (rank 15)
- Team strength (Elo)
- 1423
- Opponent strength
- 1291
- Possession, role
- Data unavailable
League strength 1.00 = average club of the big-five leagues. Elo includes continental matches.
Potential
- Development
- Moderate
- Trajectory
- improving
- Breakout probability
- Age > 23
- Resale range (24m)
- €11.4M – €28.2M
Trajectory drivers: minutes share up 19 pts; team strength down (-142 Elo); relative output up 37% vs positional peers.
Historical comparables (8): median 2-year value change -2% (IQR -21% to +14%).
Risk profile
Overall: Low
- ⚠League level coefficient 0.43 (1.00 = big-five average): output may not translate.
- ⓘ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
- 82 (ATT)
- Relative output kept
- 73%–122%
- Held a regular role (900+ min)
- 61%
- 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.
| Season | Club | League | Pos | Apps | Min | Min share | G | A | G+A/90 | Adj. G+A/90 | Opp. Elo | Team Elo | League str. |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025/26 | Feyenoord Rotterdam | Eredivisie | RW | 30 | 2554 | 83% | 11 | 6 | 0.60 | 0.36 | 1291 | 1423 | 0.43 |
| 2024/25 | Feyenoord Rotterdam | Eredivisie | RW | 30 | 1971 | 64% | 8 | 4 | 0.55 | 0.29 | 1277 | 1565 | 0.50 |
| 2023/24 | Vitesse Arnhem | Eredivisie | RW | 14 | 847 | 28% | 1 | 2 | 0.32 | 0.47 | 1327 | 1158 | 0.48 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Uefa Europa League | Feyenoord Rotterdam | 8 | 620 | 2 | 1 | 1465 |
| 2025/26 | Africa Cup Of Nations | Algeria | 4 | 182 | 0 | 2 | — |
| 2025/26 | Uefa Champions League Qualifying | Feyenoord Rotterdam | 2 | 180 | 1 | 0 | 1497 |
| 2025/26 | World Cup | Algeria | 2 | 78 | 0 | 0 | — |
| 2024/25 | Uefa Champions League | Feyenoord Rotterdam | 11 | 785 | 3 | 1 | 1699 |
| 2024/25 | Knvb Beker | Feyenoord Rotterdam | 2 | 104 | 0 | 0 | — |
| 2023/24 | Knvb Beker | Vitesse Arnhem | 1 | 90 | 1 | 0 | — |
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) | Age | Value then | ~2y later | Outcome |
|---|---|---|---|---|
| Noa Lang Jupiler Pro League · 2022 | 23 | €22.0M | €18.0M | flat |
| Anders Dreyer Superliga · 2023 | 25 | €8.0M | €9.0M | flat |
| Brian Brobbey Eredivisie · 2024 | 22 | €35.0M | €30.0M | flat |
| Vangelis Pavlidis Eredivisie · 2024 | 26 | €25.0M | €28.0M | flat |
| Jordan Larsson Premier Liga · 2021 | 24 | €15.0M | €3.0M | fell |
| Gustav Isaksen Superliga · 2023 | 22 | €7.5M | €20.0M | rose |
| Viktor Tsygankov Premier Liga · 2022 | 25 | €25.0M | €30.0M | rose |
| Mateo Cassierra Premier Liga · 2024 | 27 | €11.0M | €8.0M | fell |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 1 Jul 2024 | Patro Eisden | Feyenoord | €3.5M | €2.0M |
| 30 Jun 2024 | Vitesse | Patro Eisden | Free / loan | €2.0M |
| 1 Feb 2024 | Patro Eisden | Vitesse | Free / loan | €250k |
| 1 Jul 2023 | Olym. Charleroi | Patro Eisden | Free / loan | Data unavailable |
| 29 Jul 2022 | RC Lens B | Olym. Charleroi | Free / loan | Data unavailable |
| 1 Jul 2021 | RC Lens U19 | RC Lens B | Unknown | Data unavailable |
| 1 Jul 2018 | Montfermeil Jgd | RC Lens U19 | Free / loan | Data unavailable |
| 1 Jul 2016 | US Torcy Yth. | Montfermeil Jgd | Free / loan | Data 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.