
Maarten Vandevoordt
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Maarten Vandevoordt's performance-implied value at EUR 3.2M-7.6M, below the estimated acquisition range of EUR 11.1M-21.4M. Its 24-month market value projection is EUR 5.8M-22.8M. Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.
Bargain Index: 18
What drives the score. Not a black box: each component and its level.
| Performance | Above average | 63.4th pct among GK peers (age-neutral) |
| Age | Neutral | 24.3 years |
| Acquisition cost | Neutral | est. €16.2M vs market €15.0M |
| Expected appreciation | Low | -20% over ~2 years (model) |
| Value gap | Very negative | weak predictor on its own |
| Development | Moderate | |
| League translation | Big-five league | league coefficient 0.94 |
| Tactical fit | Not evaluated | Requires event/role data not available from the current free source. |
| Risk | High | |
| 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 284 evaluated GK players with 900+ minutes.
Performance (last season, league)
- Minutes
- 1051 (34% of available)
- Goals + assists / 90
- 0.00
- Context-adjusted G+A / 90
- 0.00
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 63 (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
- 0.94 (rank 3)
- Team strength (Elo)
- 1568
- Opponent strength
- 1475
- Possession, role
- Data unavailable
League strength 1.00 = average club of the big-five leagues. Elo includes continental matches.
Potential
- Development
- Moderate
- Trajectory
- insufficient
- Breakout probability
- Age > 23
- Resale range (24m)
- €5.8M – €22.8M
Historical comparables (8): median 2-year value change -37% (IQR -55% to +187%).
Risk profile
Overall: High
- ▲Projection range among the widest 10% of evaluated players.
- ⚠Limited sample: 1051 league minutes last season.
- ⚠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.
| 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 | RB Leipzig | Bundesliga | GK | 12 | 1051 | 34% | 0 | 0 | 0.00 | 0.00 | 1475 | 1568 | 0.94 |
| 2024/25 | RB Leipzig | Bundesliga | GK | 6 | 428 | 14% | 0 | 0 | 0.00 | 0.01 | 1582 | 1533 | 0.94 |
| 2023/24 | KRC Genk | Jupiler Pro League | GK | 30 | 2700 | 100% | 0 | 0 | 0.00 | 0.00 | 1373 | 1459 | 0.63 |
| 2022/23 | KRC Genk | Jupiler Pro League | GK | 34 | 3060 | 100% | 0 | 0 | 0.00 | 0.00 | 1302 | 1495 | 0.58 |
| 2021/22 | KRC Genk | Jupiler Pro League | GK | 34 | 3060 | 100% | 0 | 0 | 0.00 | 0.00 | 1346 | 1356 | 0.49 |
| 2020/21 | KRC Genk | Jupiler Pro League | GK | 10 | 900 | 29% | 0 | 0 | 0.00 | 0.00 | 1314 | 1414 | 0.55 |
| 2019/20 | KRC Genk | Jupiler Pro League | GK | 4 | 360 | 14% | 0 | 0 | 0.00 | 0.00 | 1264 | 1429 | 0.63 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Dfb Pokal | RB Leipzig | 4 | 360 | 0 | 0 | — |
| 2024/25 | Dfb Pokal | RB Leipzig | 4 | 360 | 0 | 0 | — |
| 2024/25 | Uefa Champions League | RB Leipzig | 2 | 180 | 0 | 0 | 1558 |
| 2023/24 | Uefa Champions League Qualifying | KRC Genk | 2 | 210 | 0 | 0 | 1466 |
| 2023/24 | Uefa Conference League Qualifying | KRC Genk | 2 | 210 | 0 | 0 | 1404 |
| 2023/24 | Uefa Europa League Qualifying | KRC Genk | 2 | 180 | 0 | 0 | 1451 |
| 2021/22 | Uefa Europa League | KRC Genk | 6 | 540 | 0 | 0 | 1582 |
| 2021/22 | Uefa Champions League Qualifying | KRC Genk | 2 | 180 | 0 | 0 | 1554 |
| 2021/22 | Volkswagen Supercup | KRC Genk | 1 | 90 | 0 | 0 | 1570 |
| 2019/20 | Uefa Champions League | KRC Genk | 1 | 90 | 0 | 0 | 1612 |
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 |
|---|---|---|---|---|
| Mile Svilar Serie A · 2024 | 25 | €9.0M | €35.0M | rose |
| Alexander Nübel Bundesliga · 2019 | 23 | €12.0M | €6.0M | fell |
| Vicente Guaita Laliga · 2013 | 26 | €7.5M | €3.0M | fell |
| Pierluigi Gollini Serie A · 2019 | 24 | €6.0M | €17.0M | rose |
| Alex Meret Serie A · 2019 | 22 | €25.0M | €20.0M | fell |
| Wuilker Fariñez Ligue 1 · 2022 | 24 | €4.0M | €700k | fell |
| Julen Agirrezabala Laliga · 2023 | 23 | €5.0M | €15.0M | rose |
| Angus Gunn Premier League · 2020 | 24 | €6.5M | €3.0M | 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 | Genk | Leipzig | €10.0M | €11.0M |
| 1 Jul 2019 | KRC Genk U21 | Genk | Unknown | €300k |
| 1 Jul 2018 | KRC Genk U17 | KRC Genk U21 | Unknown | Data unavailable |
| 1 Jul 2017 | KRC Genk Youth | KRC Genk U17 | 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.