Kamaldeen Sulemana
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Kamaldeen Sulemana's performance-implied value at EUR 9.2M-30.6M, below the estimated acquisition range of EUR 12.3M-22.7M. Its 24-month market value projection is EUR 7.7M-24.1M. Context-adjusted goal contributions are 0.60x the positional average in the league (1002 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: 29
What drives the score. Not a black box: each component and its level.
| Performance | High | 80.3th pct among ATT peers (age-neutral) |
| Age | Neutral | 24.4 years |
| Acquisition cost | Neutral | est. €16.2M vs market €17.0M |
| Expected appreciation | Low | -20% over ~2 years (model) |
| Value gap | Negative | weak predictor on its own |
| Development | Moderate | |
| League translation | Big-five league | league coefficient 0.93 |
| Tactical fit | Not evaluated | Requires event/role data not available from the current free source. |
| Risk | Moderate | |
| 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
- 1002 (29% of available)
- Goals + assists / 90
- 0.27
- Context-adjusted G+A / 90
- 0.25
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 80 (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
- 0.93 (rank 4)
- Team strength (Elo)
- 1588
- Opponent strength
- 1493
- 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)
- €7.7M – €24.1M
Trajectory drivers: changed club; team strength up (+311 Elo); league level down (-108 Elo); relative output down 43% vs positional peers.
Historical comparables (8): median 2-year value change +19% (IQR -17% to +184%).
Risk profile
Overall: Moderate
- ⚠Limited sample: 1002 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.
| 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 | Atalanta BC | Serie A | LW | 25 | 1002 | 29% | 2 | 1 | 0.27 | 0.25 | 1493 | 1588 | 0.93 |
| 2024/25 | Southampton FC | Premier League | LW | 26 | 1406 | 41% | 1 | 1 | 0.13 | 0.44 | 1602 | 1277 | 1.23 |
| 2022/23 | Southampton FC | Premier League | LW | 18 | 967 | 28% | 2 | 1 | 0.28 | 0.53 | 1604 | 1375 | 1.23 |
| 2022/23 | Stade Rennais FC | Ligue 1 | LW | 14 | 316 | 9% | 1 | 0 | 0.28 | 0.27 | 1395 | 1562 | 0.82 |
| 2021/22 | Stade Rennais FC | Ligue 1 | LW | 20 | 1015 | 30% | 4 | 2 | 0.53 | 0.41 | 1416 | 1581 | 0.86 |
| 2020/21 | FC Nordsjaelland | Superliga | LW | 20 | 1737 | 88% | 4 | 6 | 0.52 | 0.48 | 1293 | 1308 | 0.43 |
| 2019/20 | FC Nordsjaelland | Superliga | LW | 5 | 241 | 10% | 1 | 0 | 0.37 | 0.33 | 1268 | 1329 | 0.41 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Uefa Champions League | Atalanta BC | 9 | 288 | 0 | 0 | 1724 |
| 2025/26 | World Cup | Ghana | 2 | 129 | 0 | 0 | — |
| 2025/26 | Italy Cup | Atalanta BC | 3 | 55 | 1 | 1 | — |
| 2024/25 | Fa Cup | Southampton FC | 2 | 153 | 1 | 1 | — |
| 2022/23 | Uefa Europa League | Stade Rennais FC | 4 | 186 | 0 | 2 | 1478 |
| 2021/22 | Uefa Conference League Qualifying | Stade Rennais FC | 1 | 69 | 0 | 0 | 1522 |
| 2020/21 | Oddset Pokalen | FC Nordsjaelland | 1 | 29 | 0 | 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 |
|---|---|---|---|---|
| Cengiz Ünder Serie A · 2020 | 23 | €24.0M | €22.0M | flat |
| Riccardo Sottil Serie A · 2023 | 24 | €8.0M | €5.0M | fell |
| Moise Kean Serie A · 2023 | 23 | €18.0M | €50.0M | rose |
| Abde Ezzalzouli Laliga · 2024 | 23 | €9.0M | €40.0M | rose |
| Alexis Saelemaekers Serie A · 2023 | 24 | €15.0M | €17.0M | flat |
| Joaquín Correa Laliga · 2018 | 24 | €10.0M | €30.5M | rose |
| Sofiane Diop Ligue 1 · 2024 | 24 | €12.0M | €15.0M | rose |
| Anthony Martial Laliga · 2022 | 27 | €16.0M | €10.0M | fell |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 2 Jul 2025 | Southampton | Atalanta | €17.5M | €13.0M |
| 31 Jan 2023 | Stade Rennais | Southampton | €25.0M | €18.0M |
| 16 Jul 2021 | Nordsjaelland | Stade Rennais | €17.0M | €9.0M |
| 15 Feb 2020 | Right to Dream | Nordsjaelland | Free / loan | Data unavailable |
| 1 Jul 2013 | TechimanLiberty | Right to Dream | 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.