
Romeo Vermant
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Romeo Vermant's performance-implied value at EUR 4.5M-11.7M, below the estimated acquisition range of EUR 6.8M-15.6M. Its 24-month market value projection is EUR 4.3M-20.1M. Context-adjusted goal contributions are 0.88x the positional average in the league (1070 minutes, league coefficient 0.65). Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.
Bargain Index: 54
What drives the score. Not a black box: each component and its level.
| Performance | Above average | 63.1th pct among ATT peers (age-neutral) |
| Age | Favorable | 22.4 years |
| Acquisition cost | Unfavorable | est. €10.7M vs market €9.0M |
| Expected appreciation | High | +23% over ~2 years (model) |
| Value gap | Negative | weak predictor on its own |
| Development | High | breakout probability 25% |
| League translation | Moderate | league coefficient 0.65 |
| 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 900 evaluated ATT players with 900+ minutes.
Performance (last season, league)
- Minutes
- 1070 (40% of available)
- Goals + assists / 90
- 0.76
- Context-adjusted G+A / 90
- 0.45
- 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
- 0.65 (rank 6)
- Team strength (Elo)
- 1589
- Opponent strength
- 1373
- Possession, role
- Data unavailable
League strength 1.00 = average club of the big-five leagues. Elo includes continental matches.
Potential
- Development
- High
- Trajectory
- improving
- Breakout probability
- 25%
- Resale range (24m)
- €4.3M – €20.1M
Trajectory drivers: minutes share up 15 pts.
Historical comparables (8): median 2-year value change -23% (IQR -43% to +38%).
Risk profile
Overall: High
- ▲Projection range among the widest 10% of evaluated players.
- ⚠Limited sample: 1070 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).
- Historical movers
- 78 (ATT)
- Relative output kept
- 72%–126%
- Held a regular role (900+ min)
- 60%
- 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 | Club Brugge KV | Jupiler Pro League | ST | 25 | 1070 | 40% | 7 | 2 | 0.76 | 0.44 | 1373 | 1589 | 0.65 |
| 2024/25 | Club Brugge KV | Jupiler Pro League | ST | 19 | 655 | 24% | 3 | 3 | 0.82 | 0.44 | 1349 | 1552 | 0.63 |
| 2023/24 | KVC Westerlo | Jupiler Pro League | ST | 7 | 496 | 18% | 2 | 2 | 0.73 | 0.83 | 1440 | 1293 | 0.63 |
| 2023/24 | Club Brugge KV | Jupiler Pro League | ST | 1 | 9 | 0% | 0 | 0 | 0.00 | 0.40 | 1297 | 1541 | 0.63 |
| 2022/23 | Club Brugge KV | Jupiler Pro League | ST | 5 | 82 | 3% | 0 | 0 | 0.00 | 0.27 | 1169 | 1491 | 0.58 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Uefa Champions League | Club Brugge KV | 8 | 327 | 2 | 0 | 1589 |
| 2025/26 | Jupiler Pro League Playoff I | Club Brugge KV | 10 | 245 | 1 | 0 | 1474 |
| 2025/26 | Uefa Champions League Qualifying | Club Brugge KV | 3 | 201 | 2 | 0 | 1451 |
| 2025/26 | Volkswagen Supercup | Club Brugge KV | 1 | 80 | 0 | 0 | 1545 |
| 2024/25 | Uefa Champions League | Club Brugge KV | 5 | 52 | 0 | 0 | 1610 |
| 2024/25 | Volkswagen Supercup | Club Brugge KV | 1 | 11 | 0 | 0 | 1589 |
| 2023/24 | Uefa Conference League Qualifying | Club Brugge KV | 2 | 73 | 0 | 1 | 1342 |
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 |
|---|---|---|---|---|
| Carlos Mané Liga Portugal · 2015 | 21 | €8.0M | €4.5M | fell |
| Derlis González Premier Liga · 2017 | 23 | €7.0M | €4.0M | fell |
| Jürgen Locadia Eredivisie · 2018 | 25 | €15.0M | €8.0M | fell |
| Emre Çolak Super Lig · 2015 | 24 | €5.5M | €7.5M | rose |
| David Okereke Jupiler Pro League · 2020 | 23 | €5.5M | €4.5M | flat |
| Vincent Janssen Super Lig · 2018 | 24 | €9.0M | €6.5M | fell |
| Bojan Krkic Eredivisie · 2014 | 24 | €7.0M | €10.0M | rose |
| Igor Paixão Eredivisie · 2023 | 23 | €10.0M | €35.0M | 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 2024 | KVC Westerlo | Club Brugge | Free / loan | €1.8M |
| 22 Jan 2024 | Club Brugge | KVC Westerlo | Free / loan | €1.2M |
| 15 Mar 2023 | Club NXT | Club Brugge | Unknown | €500k |
| 1 Jul 2020 | Club Brugge U18 | Club NXT | Unknown | Data unavailable |
| 1 Jan 2020 | Club Brugge Yth | Club Brugge U18 | 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.