Matisse Didden
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Matisse Didden's performance-implied value at EUR 0.7M-2.5M, below the estimated acquisition range of EUR 1.4M-4.6M. Its 24-month market value projection is EUR 1.5M-5.2M. Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.
Bargain Index: 41
What drives the score. Not a black box: each component and its level.
| Performance | Below average | 33.2th pct among DEF peers (age-neutral) |
| Age | Neutral | 24.7 years |
| Acquisition cost | Neutral | est. €2.9M vs market €3.0M |
| Expected appreciation | Low | -11% over ~2 years (model) |
| Value gap | Very negative | weak predictor on its own |
| Development | Low | |
| League translation | Uncertain | league coefficient 0.43 |
| 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 1268 evaluated DEF players with 900+ minutes.
Performance (last season, league)
- Minutes
- 1887 (62% of available)
- Goals + assists / 90
- 0.10
- Context-adjusted G+A / 90
- 0.08
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 33 (Below 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)
- 1352
- Opponent strength
- 1313
- Possession, role
- Data unavailable
League strength 1.00 = average club of the big-five leagues. Elo includes continental matches.
Potential
- Development
- Low
- Trajectory
- improving
- Breakout probability
- Age > 23
- Resale range (24m)
- €1.5M – €5.2M
Trajectory drivers: minutes share up 45 pts; relative output up 91% vs positional peers.
Historical comparables (8): median 2-year value change +6% (IQR -16% to +55%).
Risk profile
Overall: Moderate
- ⚠League level coefficient 0.43 (1.00 = big-five average): output may not translate.
- ⚠Projection range wider than for most evaluated players.
- ⓘ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 (DEF)
- Relative output kept
- 65%–166%
- Held a regular role (900+ min)
- 78%
- 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 | FC Utrecht | Eredivisie | CB | 24 | 1887 | 62% | 2 | 0 | 0.10 | 0.08 | 1313 | 1352 | 0.43 |
| 2024/25 | FC Utrecht | Eredivisie | CB | 16 | 510 | 17% | 0 | 0 | 0.00 | 0.04 | 1280 | 1409 | 0.50 |
| 2022/23 | KRC Genk | Jupiler Pro League | CB | 1 | 3 | 0% | 0 | 0 | 0.00 | 0.04 | 1134 | 1495 | 0.58 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Uefa Europa League | FC Utrecht | 4 | 250 | 0 | 0 | 1509 |
| 2025/26 | Knvb Beker | FC Utrecht | 1 | 90 | 0 | 0 | — |
| 2025/26 | Uefa Europa League Qualifying | FC Utrecht | 3 | 33 | 0 | 0 | 1335 |
| 2024/25 | Knvb Beker | FC Utrecht | 2 | 135 | 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 |
|---|---|---|---|---|
| Levent Mercan Super Lig · 2023 | 23 | €2.5M | €2.5M | flat |
| Ilya Samoshnikov Premier Liga · 2021 | 24 | €2.5M | €2.5M | flat |
| Frederik Alves Superliga · 2024 | 25 | €2.5M | €2.8M | flat |
| Kevin Diks Superliga · 2021 | 25 | €1.5M | €3.0M | rose |
| Lucas Fasson Premier Liga · 2024 | 23 | €3.5M | €5.0M | rose |
| Serkan Asan Super Lig · 2021 | 22 | €3.0M | €500k | fell |
| Daniel Opare Jupiler Pro League · 2014 | 24 | €3.0M | €1.5M | fell |
| Mads Bech Sørensen Superliga · 2024 | 25 | €2.5M | €6.0M | rose |
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 | Roda JC | Utrecht | Unknown | €700k |
| 4 Jul 2023 | Genk | Roda JC | Unknown | €400k |
| 1 Jul 2022 | Jong Genk | Genk | Unknown | €150k |
| 1 Jul 2019 | KRC Genk U18 | KRC Genk U21 | Unknown | Data unavailable |
| 1 Jul 2018 | Patro Eisden | KRC Genk U18 | Unknown | Data unavailable |
| 24 Feb 2018 | Patro Eis. U21 | Patro Eisden | Unknown | 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.