
Jonathan Clauss
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Jonathan Clauss's performance-implied value at EUR 0.9M-2.1M, below the estimated acquisition range of EUR 1.3M-4.0M. Its 24-month market value projection is EUR 0.8M-2.1M. Context-adjusted goal contributions are 1.09x the positional average in the league (2531 minutes, league coefficient 0.88). Confidence is medium: 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.
Age above 33 (outside validated pool)
| Performance | Above average | 73.4th pct among MID peers (age-neutral) |
| Age | Unfavorable | 33.8 years |
| Acquisition cost | Favorable | est. €2.6M vs market €4.0M |
| Expected appreciation | Very low | -67% over ~2 years (model) |
| Value gap | Very negative | weak predictor on its own |
| Development | Low | |
| League translation | Big-five league | league coefficient 0.88 |
| 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 1163 evaluated MID players with 900+ minutes.
Performance (last season, league)
- Minutes
- 2531 (83% of available)
- Goals + assists / 90
- 0.28
- Context-adjusted G+A / 90
- 0.24
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 73 (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
- 0.88 (rank 5)
- Team strength (Elo)
- 1358
- Opponent strength
- 1459
- 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)
- €773k – €2.1M
Trajectory drivers: team strength down (-164 Elo).
Historical comparables (8): median 2-year value change -60% (IQR -73% to -51%).
Risk profile
Overall: Moderate
- ▲Age 34: resale value typically declines.
- ⓘ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 | OGC Nice | Ligue 1 | RM | 30 | 2531 | 83% | 1 | 7 | 0.28 | 0.24 | 1459 | 1358 | 0.88 |
| 2024/25 | OGC Nice | Ligue 1 | RM | 28 | 2311 | 76% | 3 | 10 | 0.51 | 0.28 | 1459 | 1521 | 0.88 |
| 2023/24 | Olympique Marseille | Ligue 1 | RB | 27 | 2071 | 68% | 3 | 4 | 0.30 | 0.21 | 1454 | 1534 | 0.87 |
| 2022/23 | Olympique Marseille | Ligue 1 | RM | 34 | 2602 | 76% | 2 | 10 | 0.42 | 0.29 | 1442 | 1568 | 0.82 |
| 2021/22 | RC Lens | Ligue 1 | RM | 37 | 3061 | 90% | 5 | 11 | 0.47 | 0.33 | 1424 | 1492 | 0.86 |
| 2020/21 | RC Lens | Ligue 1 | RM | 33 | 2537 | 74% | 3 | 6 | 0.32 | 0.33 | 1441 | 1371 | 0.75 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Uefa Europa League | OGC Nice | 6 | 273 | 0 | 0 | 1498 |
| 2025/26 | Uefa Champions League Qualifying | OGC Nice | 2 | 163 | 0 | 0 | 1638 |
| 2024/25 | Uefa Europa League | OGC Nice | 7 | 368 | 0 | 1 | 1526 |
| 2023/24 | Uefa Europa League | Olympique Marseille | 12 | 1005 | 2 | 6 | 1545 |
| 2023/24 | Uefa Champions League Qualifying | Olympique Marseille | 2 | 210 | 0 | 1 | 1437 |
| 2022/23 | Uefa Champions League | Olympique Marseille | 6 | 417 | 0 | 1 | 1635 |
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 |
|---|---|---|---|---|
| Tomás Rincón Serie A · 2020 | 32 | €5.5M | €1.0M | fell |
| Valter Birsa Serie A · 2018 | 32 | €4.0M | €1.2M | fell |
| Darko Lazović Serie A · 2022 | 32 | €4.0M | €1.5M | fell |
| Julien Féret Ligue 1 · 2013 | 31 | €5.0M | €1.0M | fell |
| Laurent Abergel Ligue 1 · 2024 | 31 | €3.0M | €1.8M | fell |
| Thomas Mangani Ligue 1 · 2018 | 31 | €3.5M | €1.6M | fell |
| Xavier Chavalerin Ligue 1 · 2022 | 31 | €3.5M | €1.5M | fell |
| Mariano Izco Serie A · 2014 | 31 | €2.6M | €2.0M | fell |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 25 Jul 2024 | Marseille | Nice | €5.0M | €12.0M |
| 20 Jul 2022 | Lens | Marseille | €7.5M | €15.0M |
| 1 Jul 2020 | Arm. Bielefeld | Lens | Free / loan | €1.2M |
| 23 Aug 2018 | Quevilly Rouen | Arm. Bielefeld | Free / loan | €300k |
| 1 Jul 2017 | US Avranches | Quevilly Rouen | Free / loan | €175k |
| 12 Jul 2016 | US Raon-l'Étape | US Avranches | Free / loan | Data unavailable |
| 6 Jul 2015 | SV Linx | US Raon-l'Étape | Free / loan | Data unavailable |
| 1 Jul 2013 | Vauban S. | SV Linx | Free / loan | Data unavailable |
| 1 Jul 2010 | Strasbourg U19 | Vauban S. | Free / loan | Data unavailable |
| 1 Jul 2009 | Strasbourg U17 | Strasbourg U19 | Unknown | Data unavailable |
| 1 Jul 2007 | Strasbourg Yth. | Strasbourg 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.