
Aster Vranckx
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Aster Vranckx's performance-implied value at EUR 1.9M-5.3M, below the estimated acquisition range of EUR 2.5M-6.1M. Its 24-month market value projection is EUR 2.0M-6.3M. Context-adjusted goal contributions are 0.75x the positional average in the league (692 minutes, league coefficient 0.93). Confidence is low: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.
Bargain Index: not assigned
What drives the score. Not a black box: each component and its level.
Insufficient sample (< 900 league minutes)
| Performance | Average | 42.8th pct among MID peers (age-neutral) |
| Age | Favorable | 23.7 years |
| Acquisition cost | Favorable | est. €4.2M vs market €5.0M |
| Expected appreciation | Low | -20% over ~2 years (model) |
| Value gap | Very negative | weak predictor on its own |
| Development | Low | |
| 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 | Low |
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 1164 evaluated MID players with 900+ minutes.
Performance (last season, league)
- Minutes
- 692 (20% of available)
- Goals + assists / 90
- 0.00
- Context-adjusted G+A / 90
- 0.17
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 43 (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
- 0.93 (rank 4)
- Team strength (Elo)
- 1406
- Opponent strength
- 1513
- 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)
- €2.0M – €6.3M
Trajectory drivers: changed club.
Historical comparables (8): median 2-year value change -18% (IQR -53% to +205%).
Risk profile
Overall: Moderate
- ▲Small sample: 692 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 | US Sassuolo | Serie A | CM | 16 | 692 | 20% | 0 | 0 | 0.00 | 0.17 | 1513 | 1405 | 0.93 |
| 2024/25 | VfL Wolfsburg | Bundesliga | CM | 14 | 552 | 18% | 0 | 0 | 0.00 | 0.14 | 1504 | 1438 | 0.94 |
| 2023/24 | VfL Wolfsburg | Bundesliga | CM | 24 | 1143 | 37% | 0 | 0 | 0.00 | 0.09 | 1510 | 1427 | 1.01 |
| 2022/23 | AC Milan | Serie A | CM | 9 | 235 | 7% | 0 | 1 | 0.38 | 0.15 | 1393 | 1622 | 0.94 |
| 2022/23 | VfL Wolfsburg | Bundesliga | CM | 1 | 7 | 0% | 0 | 0 | 0.00 | 0.41 | 1869 | 1525 | 1.04 |
| 2021/22 | VfL Wolfsburg | Bundesliga | CM | 24 | 1135 | 37% | 2 | 0 | 0.16 | 0.20 | 1558 | 1495 | 1.05 |
| 2020/21 | KV Mechelen | Jupiler Pro League | CM | 29 | 1581 | 52% | 4 | 2 | 0.34 | 0.28 | 1356 | 1365 | 0.55 |
| 2019/20 | KV Mechelen | Jupiler Pro League | CM | 9 | 629 | 24% | 1 | 2 | 0.43 | 0.31 | 1385 | 1354 | 0.63 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2024/25 | Dfb Pokal | VfL Wolfsburg | 1 | 9 | 0 | 0 | — |
| 2023/24 | Dfb Pokal | VfL Wolfsburg | 2 | 196 | 0 | 0 | — |
| 2022/23 | Italy Cup | AC Milan | 1 | 83 | 0 | 0 | — |
| 2021/22 | Uefa Champions League | VfL Wolfsburg | 4 | 337 | 0 | 0 | 1638 |
| 2019/20 | Volkswagen Supercup | KV Mechelen | 1 | 2 | 0 | 0 | 1557 |
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 |
|---|---|---|---|---|
| Emil Bohinen Serie A · 2023 | 24 | €3.4M | €1.5M | fell |
| Filippo Ranocchia Serie A · 2024 | 23 | €4.0M | €4.0M | flat |
| Djed Spence Serie A · 2024 | 24 | €8.0M | €30.0M | rose |
| Sotiris Ninis Serie A · 2013 | 23 | €3.6M | €1.8M | fell |
| Tim Breithaupt Bundesliga · 2024 | 22 | €3.0M | €2.0M | fell |
| Ronaldo Vieira Serie A · 2022 | 24 | €3.5M | €1.0M | fell |
| Mehmet Ekici Bundesliga · 2014 | 24 | €2.5M | €7.5M | rose |
| Rassoul Ndiaye Ligue 1 · 2024 | 23 | €2.5M | €8.0M | rose |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 30 Jun 2026 | Sassuolo | Wolfsburg | Free / loan | €5.0M |
| 22 Aug 2025 | Wolfsburg | Sassuolo | Free / loan | €7.0M |
| 30 Jun 2023 | AC Milan | Wolfsburg | Free / loan | €8.5M |
| 1 Sept 2022 | Wolfsburg | AC Milan | Free / loan | €10.0M |
| 1 Jul 2021 | KV Mechelen | Wolfsburg | €8.0M | €6.8M |
| 1 Jul 2019 | KV Mechelen U18 | KV Mechelen | Unknown | Data unavailable |
| 1 Jul 2018 | KV Mechelen Yth | KV Mechelen U18 | Unknown | Data unavailable |
| 1 Jul 2016 | Zaventem U21 | KV Mechelen Yth | 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.