Mathieu Maertens
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Mathieu Maertens's performance-implied value at EUR 0.4M-1.0M, above the estimated acquisition range of EUR 0.2M-0.8M. Its 24-month market value projection is EUR 0.2M-0.5M. Context-adjusted goal contributions are 1.12x the positional average in the league (1041 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.
Acquisition note: Contract end date unavailable: range widened by 15% each side.
Bargain Index: 18
What drives the score. Not a black box: each component and its level.
| Performance | Below average | 28.8th pct among MID peers (age-neutral) |
| Age | Unfavorable | 31.3 years |
| Acquisition cost | Favorable | est. €384k vs market €600k |
| Expected appreciation | Very low | -52% over ~2 years (model) |
| Value gap | Large | weak predictor on its own |
| Development | Low | |
| 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 1163 evaluated MID players with 900+ minutes.
Performance (last season, league)
- Minutes
- 1041 (39% of available)
- Goals + assists / 90
- 0.35
- Context-adjusted G+A / 90
- 0.45
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 29 (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
- 0.65 (rank 6)
- Team strength (Elo)
- 1329
- Opponent strength
- 1376
- 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)
- €172k – €462k
Historical comparables (8): median 2-year value change -35% (IQR -70% to -25%).
Risk profile
Overall: High
- ⚠Limited sample: 1041 league minutes last season.
- ⚠No continental-competition minutes last season.
- ⚠Age 31: resale value typically declines.
- ⚠Played under 40% of available league minutes (injury data unavailable, cause unknown).
- ⓘContract end date unavailable (or stale in source).
- ⓘ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
- 60 (MID)
- Relative output kept
- 63%–142%
- Held a regular role (900+ min)
- 72%
- 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 | Oud-Heverlee Leuven | Jupiler Pro League | AM | 27 | 1041 | 39% | 1 | 3 | 0.35 | 0.45 | 1376 | 1329 | 0.65 |
| 2024/25 | Oud-Heverlee Leuven | Jupiler Pro League | AM | 12 | 781 | 29% | 1 | 1 | 0.23 | 0.36 | 1350 | 1323 | 0.63 |
| 2023/24 | Oud-Heverlee Leuven | Jupiler Pro League | AM | 17 | 685 | 25% | 1 | 0 | 0.13 | 0.32 | 1356 | 1302 | 0.63 |
| 2022/23 | Oud-Heverlee Leuven | Jupiler Pro League | AM | 24 | 2021 | 66% | 5 | 4 | 0.40 | 0.43 | 1315 | 1338 | 0.58 |
| 2021/22 | Oud-Heverlee Leuven | Jupiler Pro League | AM | 30 | 2349 | 77% | 9 | 4 | 0.50 | 0.51 | 1360 | 1246 | 0.49 |
| 2020/21 | Oud-Heverlee Leuven | Jupiler Pro League | LM | 19 | 1423 | 47% | 3 | 0 | 0.19 | 0.32 | 1366 | 1268 | 0.55 |
| 2014/15 | Cercle Brugge | Jupiler Pro League | AM | 7 | 534 | 20% | 0 | 0 | 0.00 | 0.36 | 1368 | 1166 | 0.54 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Jupiler Pro League Europe Play Offs | Oud-Heverlee Leuven | 8 | 229 | 0 | 0 | 1396 |
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 |
|---|---|---|---|---|
| Damien Marcq Jupiler Pro League · 2020 | 32 | €475k | €350k | fell |
| Igor Koronov Premier Liga · 2017 | 31 | €500k | €150k | fell |
| Fábio Espinho Liga Portugal · 2016 | 31 | €750k | €500k | fell |
| Vyacheslav Sharpar Premier Liga · 2017 | 30 | €500k | €400k | fell |
| Tom Van Imschoot Jupiler Pro League · 2013 | 32 | €350k | €100k | fell |
| Lukas Tesak Premier Liga · 2017 | 32 | €600k | €175k | fell |
| Carlos Martins Liga Portugal · 2015 | 33 | €800k | €500k | fell |
| Sergiy Shevchuk Premier Liga · 2014 | 29 | €600k | €500k | flat |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 1 Jul 2026 | OH Leuven | Without Club | Unknown | €600k |
| 12 Jul 2017 | Cercle Brugge | OH Leuven | Unknown | €500k |
| 1 Jul 2014 | Cercle U21 | Cercle Brugge | Unknown | Data unavailable |
| 1 Jul 2013 | Cercle U19 | Cercle U21 | Unknown | Data unavailable |
| 1 Jul 2012 | Cercle U17 | Cercle U19 | Unknown | Data unavailable |
| 1 Jul 2011 | Cercle Youth | Cercle 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.