
Ange-Yoan Bonny
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Ange-Yoan Bonny's performance-implied value at EUR 10.5M-41.4M, below the estimated acquisition range of EUR 27.0M-48.5M. Its 24-month market value projection is EUR 22.0M-57.2M. Context-adjusted goal contributions are 0.88x the positional average in the league (1130 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: 22
What drives the score. Not a black box: each component and its level.
| Performance | High | 82.9th pct among ATT peers (age-neutral) |
| Age | Favorable | 22.7 years |
| Acquisition cost | Unfavorable | est. €41.9M vs market €35.0M |
| Expected appreciation | Neutral | -6% over ~2 years (model) |
| Value gap | Very negative | weak predictor on its own |
| Development | High | breakout probability 14% |
| 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 | 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 900 evaluated ATT players with 900+ minutes.
Performance (last season, league)
- Minutes
- 1130 (33% of available)
- Goals + assists / 90
- 0.88
- Context-adjusted G+A / 90
- 0.45
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 83 (High)
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)
- 1722
- Opponent strength
- 1495
- Possession, role
- Data unavailable
League strength 1.00 = average club of the big-five leagues. Elo includes continental matches.
Potential
- Development
- High
- Trajectory
- declining
- Breakout probability
- 14%
- Resale range (24m)
- €22.0M – €57.2M
Trajectory drivers: minutes share down 41 pts; changed club; team strength up (+380 Elo); relative output down 29% vs positional peers.
Historical comparables (8): median 2-year value change -13% (IQR -20% to +61%).
Risk profile
Overall: Moderate
- ⚠Limited sample: 1130 league minutes last season.
- ⚠Played under 40% of available league minutes (injury data unavailable, cause unknown).
- ⚠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).
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 | Inter Milan | Serie A | ST | 33 | 1130 | 33% | 5 | 6 | 0.88 | 0.45 | 1495 | 1722 | 0.93 |
| 2024/25 | Parma Calcio 1913 | Serie A | ST | 37 | 2546 | 74% | 6 | 4 | 0.35 | 0.65 | 1518 | 1342 | 0.99 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Uefa Champions League | Inter Milan | 10 | 282 | 0 | 3 | 1608 |
| 2025/26 | World Cup | Ivory Coast | 3 | 176 | 0 | 0 | — |
| 2025/26 | Italy Cup | Inter Milan | 3 | 160 | 2 | 0 | — |
| 2025/26 | Supercoppa Italiana | Inter Milan | 1 | 90 | 0 | 0 | 1583 |
| 2024/25 | Italy Cup | Parma Calcio 1913 | 1 | 58 | 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 |
|---|---|---|---|---|
| Cengiz Ünder Serie A · 2018 | 21 | €27.0M | €24.0M | flat |
| Christian Pulisic Bundesliga · 2019 | 21 | €60.0M | €50.0M | flat |
| Anthony Martial Premier League · 2017 | 22 | €30.0M | €60.0M | rose |
| Gonçalo Ramos Ligue 1 · 2024 | 23 | €50.0M | €30.0M | fell |
| Leon Bailey Bundesliga · 2020 | 23 | €29.5M | €25.0M | flat |
| Heung-min Son Premier League · 2016 | 24 | €25.0M | €50.0M | rose |
| Federico Bernardeschi Serie A · 2018 | 24 | €40.0M | €28.0M | fell |
| Matheus Cunha Laliga · 2022 | 23 | €30.0M | €45.0M | rose |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 5 Jul 2025 | Parma | Inter | €23.0M | €20.0M |
| 31 Aug 2021 | Châteauroux B | Parma | Free / loan | Data unavailable |
| 1 Jul 2020 | Châteauroux U19 | Châteauroux B | Unknown | Data unavailable |
| 1 Jul 2019 | Tours FC U17 | Châteauroux U19 | Unknown | Data unavailable |
| 1 Jul 2018 | Chambray FC Jgd | Tours FC U17 | 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.