
Michel Aebischer
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Michel Aebischer's performance-implied value at EUR 1.6M-4.6M, above the estimated acquisition range of EUR 1.6M-4.1M. Its 24-month market value projection is EUR 1.3M-3.1M. Context-adjusted goal contributions are 1.22x the positional average in the league (2900 minutes, league coefficient 0.93). Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.
Bargain Index: 16
What drives the score. Not a black box: each component and its level.
| Performance | Above average | 65th pct among MID peers (age-neutral) |
| Age | Unfavorable | 29.5 years |
| Acquisition cost | Favorable | est. €2.8M vs market €4.0M |
| Expected appreciation | Very low | -50% over ~2 years (model) |
| Value gap | Small | weak predictor on its own |
| Development | Low | |
| League translation | Big-five league | league coefficient 0.93 |
| Tactical fit | Not evaluated | Requires event/role data not available from the current free source. |
| Risk | Low | |
| 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
- 2900 (85% of available)
- Goals + assists / 90
- 0.09
- Context-adjusted G+A / 90
- 0.15
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 65 (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
- 0.93 (rank 4)
- Team strength (Elo)
- 1260
- Opponent strength
- 1506
- 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)
- €1.3M – €3.1M
Trajectory drivers: minutes share up 64 pts; changed club; team strength down (-299 Elo); role change CM -> DM; relative output up 138% vs positional peers.
Historical comparables (8): median 2-year value change -27% (IQR -55% to +28%).
Risk profile
Overall: Low
- ⓘ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 | Pisa Sporting Club | Serie A | DM | 35 | 2900 | 85% | 1 | 2 | 0.09 | 0.15 | 1506 | 1260 | 0.93 |
| 2024/25 | Bologna Football Club 1909 | Serie A | CM | 14 | 723 | 21% | 0 | 0 | 0.00 | 0.11 | 1530 | 1559 | 0.99 |
| 2023/24 | Bologna Football Club 1909 | Serie A | CM | 36 | 2233 | 65% | 0 | 1 | 0.04 | 0.09 | 1499 | 1579 | 0.98 |
| 2022/23 | Bologna Football Club 1909 | Serie A | CM | 32 | 1540 | 45% | 1 | 1 | 0.12 | 0.17 | 1456 | 1482 | 0.94 |
| 2021/22 | Bologna Football Club 1909 | Serie A | CM | 12 | 437 | 13% | 0 | 0 | 0.00 | 0.15 | 1497 | 1395 | 0.89 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | World Cup | Switzerland | 3 | 152 | 0 | 0 | — |
| 2025/26 | Italy Cup | Pisa Sporting Club | 1 | 83 | 0 | 0 | — |
| 2024/25 | Uefa Champions League | Bologna Football Club 1909 | 1 | 28 | 0 | 0 | 1774 |
| 2024/25 | Italy Cup | Bologna Football Club 1909 | 1 | 8 | 0 | 0 | — |
| 2023/24 | Italy Cup | Bologna Football Club 1909 | 4 | 361 | 0 | 0 | — |
| 2022/23 | Italy Cup | Bologna Football Club 1909 | 2 | 83 | 0 | 0 | — |
| 2021/22 | Uefa Champions League | BSC Young Boys | 6 | 505 | 0 | 2 | 1677 |
| 2021/22 | Uefa Champions League Qualifying | BSC Young Boys | 5 | 365 | 1 | 2 | 1431 |
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 |
|---|---|---|---|---|
| Gaël Kakuta Ligue 1 · 2020 | 29 | €2.8M | €7.0M | rose |
| Soualiho Meïté Serie A · 2023 | 29 | €3.5M | €2.0M | fell |
| Jonas Martin Ligue 1 · 2018 | 28 | €3.0M | €2.8M | flat |
| Farid Boulaya Ligue 1 · 2021 | 28 | €5.5M | €1.8M | fell |
| Andrea Rispoli Serie A · 2017 | 29 | €2.0M | €1.0M | fell |
| Darko Lazović Serie A · 2019 | 29 | €3.0M | €5.0M | rose |
| Prince Oniangué Ligue 1 · 2019 | 31 | €2.5M | €800k | fell |
| Kevin Stöger Bundesliga · 2023 | 30 | €3.0M | €3.5M | 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 | Bologna | Pisa | €4.5M | €4.0M |
| 30 Jun 2026 | Pisa | Bologna | Free / loan | €4.0M |
| 3 Aug 2025 | Bologna | Pisa | Free / loan | €7.5M |
| 1 Jul 2022 | Young Boys | Bologna | €3.0M | €3.5M |
| 30 Jun 2022 | Bologna | Young Boys | Free / loan | €3.5M |
| 25 Jan 2022 | Young Boys | Bologna | Free / loan | €3.5M |
| 17 Feb 2017 | BSC YB U21 | Young Boys | Unknown | €100k |
| 1 Jul 2015 | BSC YB U18 | BSC YB U21 | Unknown | Data unavailable |
| 1 Jul 2014 | BSC YB U17 | BSC YB U18 | Unknown | Data unavailable |
| 1 Jul 2013 | Fribourg Youth | BSC YB 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.