Justin Hubner
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Justin Hubner's performance-implied value at EUR 0.3M-0.6M, below the estimated acquisition range of EUR 0.5M-2.1M. Its 24-month market value projection is EUR 0.6M-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: 67
What drives the score. Not a black box: each component and its level.
| Performance | Below average | 2.4th pct among DEF peers (age-neutral) |
| Age | Favorable | 22.8 years |
| Acquisition cost | Neutral | est. €965k vs market €1.0M |
| Expected appreciation | High | +13% over ~2 years (model) |
| Value gap | Very negative | weak predictor on its own |
| Development | Moderate | breakout probability 15% |
| League translation | Uncertain | league coefficient 0.43 |
| 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 1268 evaluated DEF players with 900+ minutes.
Performance (last season, league)
- Minutes
- 1490 (49% of available)
- Goals + assists / 90
- 0.18
- Context-adjusted G+A / 90
- 0.15
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 2 (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
- 0.43 (rank 15)
- Team strength (Elo)
- 1175
- Opponent strength
- 1269
- 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
- 15%
- Resale range (24m)
- €643k – €3.0M
Historical comparables (8): median 2-year value change -18% (IQR -36% to +30%).
Risk profile
Overall: High
- ▲Projection range among the widest 10% of evaluated players.
- ⚠Limited sample: 1490 league minutes last season.
- ⚠League level coefficient 0.43 (1.00 = big-five average): output may not translate.
- ⚠No continental-competition minutes last 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 | Fortuna Sittardia Combinatie | Eredivisie | CB | 25 | 1490 | 49% | 2 | 1 | 0.18 | 0.15 | 1269 | 1175 | 0.43 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Knvb Beker | Fortuna Sittardia Combinatie | 1 | 90 | 0 | 0 | — |
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 |
|---|---|---|---|---|
| Leroy Abanda Super League 1 · 2024 | 24 | €700k | €450k | fell |
| Loïc Mbe Soh Eredivisie · 2024 | 23 | €1.5M | €2.0M | rose |
| Pedro Amaral Super League 1 · 2019 | 22 | €800k | €800k | flat |
| Pierre-Yves Ngawa Jupiler Pro League · 2015 | 23 | €700k | €450k | fell |
| Jerome Opoku Superliga · 2022 | 24 | €400k | €2.0M | rose |
| Danila Khotulev Premier Liga · 2024 | 22 | €700k | €900k | rose |
| Giannis Kargas Super League 1 · 2017 | 23 | €450k | €300k | fell |
| Aaron Donnelly Scottish Premiership · 2024 | 21 | €500k | €300k | fell |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 29 Jul 2025 | Wolves U21 | Fortuna Sittard | Free / loan | €300k |
| 16 Jul 2024 | Cerezo Osaka | Wolves U21 | Free / loan | €350k |
| 12 Mar 2024 | Wolves U21 | Cerezo Osaka | Free / loan | €200k |
| 1 Jan 2022 | Wolves U18 | Wolves U23 | Unknown | Data unavailable |
| 13 Jan 2020 | Den Bosch U17 | Wolves U18 | Unknown | Data unavailable |
| 1 Jul 2018 | Den Bosch Yth. | Den Bosch U17 | Unknown | Data unavailable |
| 1 Jul 2017 | Brabant Youth | Den Bosch 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.