
Siebe Horemans
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Siebe Horemans's performance-implied value at EUR 0.7M-2.0M, below the estimated acquisition range of EUR 0.8M-2.8M. Its 24-month market value projection is EUR 1.1M-3.0M. Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.
Bargain Index: 61
What drives the score. Not a black box: each component and its level.
| Performance | Average | 43.2th pct among DEF peers (age-neutral) |
| Age | Unfavorable | 28.1 years |
| Acquisition cost | Very favorable | est. €1.7M vs market €3.0M |
| Expected appreciation | Very low | -38% over ~2 years (model) |
| Value gap | 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
- 1724 (56% of available)
- Goals + assists / 90
- 0.05
- Context-adjusted G+A / 90
- 0.06
- 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
- 0.43 (rank 15)
- Team strength (Elo)
- 1352
- Opponent strength
- 1296
- Possession, role
- Data unavailable
League strength 1.00 = average club of the big-five leagues. Elo includes continental matches.
Potential
- Development
- Low
- Trajectory
- declining
- Breakout probability
- Age > 23
- Resale range (24m)
- €1.1M – €3.0M
Trajectory drivers: minutes share down 21 pts; relative output down 60% vs positional peers.
Historical comparables (8): median 2-year value change -29% (IQR -59% to -8%).
Risk profile
Overall: Moderate
- ⚠Limited sample: 1724 league minutes last season.
- ⚠League level coefficient 0.43 (1.00 = big-five average): output may not translate.
- ⚠Declining trajectory versus previous season.
- ⓘ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 | RB | 27 | 1724 | 56% | 0 | 1 | 0.05 | 0.06 | 1296 | 1352 | 0.43 |
| 2024/25 | FC Utrecht | Eredivisie | RB | 29 | 2361 | 77% | 1 | 4 | 0.19 | 0.15 | 1306 | 1409 | 0.50 |
| 2023/24 | Excelsior Rotterdam | Eredivisie | RB | 34 | 3027 | 99% | 3 | 3 | 0.18 | 0.23 | 1363 | 1142 | 0.48 |
| 2022/23 | Excelsior Rotterdam | Eredivisie | RB | 34 | 2920 | 95% | 3 | 1 | 0.12 | 0.15 | 1358 | 1197 | 0.58 |
| 2018/19 | Excelsior Rotterdam | Eredivisie | RB | 9 | 784 | 26% | 0 | 1 | 0.11 | 0.17 | 1426 | 1235 | 0.61 |
| 2017/18 | KAA Gent | Jupiler Pro League | RB | 1 | 76 | 3% | 0 | 0 | 0.00 | 0.07 | 1257 | 1492 | 0.63 |
| 2016/17 | KAA Gent | Jupiler Pro League | CB | 1 | 90 | 3% | 0 | 0 | 0.00 | 0.04 | 1242 | 1474 | 0.62 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Uefa Europa League | FC Utrecht | 6 | 540 | 0 | 0 | 1518 |
| 2025/26 | Uefa Europa League Qualifying | FC Utrecht | 6 | 476 | 2 | 2 | 1342 |
| 2025/26 | Knvb Beker | FC Utrecht | 2 | 167 | 0 | 1 | — |
| 2024/25 | Knvb Beker | FC Utrecht | 4 | 225 | 0 | 2 | — |
| 2023/24 | Knvb Beker | Excelsior Rotterdam | 3 | 330 | 1 | 0 | — |
| 2022/23 | Knvb Beker | Excelsior Rotterdam | 2 | 180 | 0 | 0 | — |
| 2016/17 | Uefa Europa League Qualifying | KAA Gent | 1 | 90 | 0 | 0 | 1338 |
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 |
|---|---|---|---|---|
| Kaio Premier Liga · 2022 | 27 | €2.0M | €1.8M | flat |
| Niklas Hult Super League 1 · 2018 | 28 | €1.8M | €725k | fell |
| Yassine Meriah Super Lig · 2020 | 27 | €2.4M | €2.0M | flat |
| Rens van Eijden Eredivisie · 2017 | 29 | €2.0M | €400k | fell |
| Guillermo Varela Premier Liga · 2021 | 28 | €2.0M | €2.0M | flat |
| Adil Demirbağ Super Lig · 2024 | 27 | €1.8M | €3.0M | rose |
| Rayyan Baniya Super Lig · 2024 | 25 | €2.5M | €1.0M | fell |
| Jack Hendry Jupiler Pro League · 2022 | 27 | €5.0M | €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 | Excelsior | Utrecht | Free / loan | €1.2M |
| 2 Jul 2019 | KAA Gent | Excelsior | Unknown | €200k |
| 30 Jun 2019 | Excelsior | KAA Gent | Free / loan | €200k |
| 13 Aug 2018 | KAA Gent | Excelsior | Free / loan | €250k |
| 30 Jun 2017 | OH Leuven | KAA Gent | Free / loan | €250k |
| 31 Jan 2017 | KAA Gent | OH Leuven | Free / loan | €250k |
| 1 Jul 2016 | KAA Gent U19 | KAA Gent | Unknown | Data unavailable |
| 1 Jul 2015 | KAA Gent U17 | KAA Gent U19 | 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.