
Ché Adams
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Ché Adams's performance-implied value at EUR 7.7M-16.2M, above the estimated acquisition range of EUR 1.7M-5.2M. Its 24-month market value projection is EUR 1.3M-3.4M. Context-adjusted goal contributions are 1.02x the positional average in the league (1897 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.
Acquisition note: Final year of contract: selling club's leverage is reduced.
Bargain Index: 32
What drives the score. Not a black box: each component and its level.
| Performance | High | 81.1th pct among ATT peers (age-neutral) |
| Age | Unfavorable | 30 years |
| Acquisition cost | Very favorable | est. €2.3M vs market €5.0M |
| Expected appreciation | Very low | -57% over ~2 years (model) |
| Value gap | Very large | 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 | 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
- 1897 (56% of available)
- Goals + assists / 90
- 0.43
- Context-adjusted G+A / 90
- 0.52
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 81 (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)
- 1419
- Opponent strength
- 1489
- 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)
- €1.3M – €3.4M
Trajectory drivers: minutes share down 22 pts.
Historical comparables (8): median 2-year value change -56% (IQR -63% to -24%).
Risk profile
Overall: Moderate
- ⚠Contract ends in 12 months: cheaper, but competition and wage demands likely.
- ⚠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 | Torino FC | Serie A | ST | 33 | 1897 | 55% | 6 | 3 | 0.43 | 0.52 | 1489 | 1419 | 0.93 |
| 2024/25 | Torino FC | Serie A | ST | 36 | 2658 | 78% | 9 | 3 | 0.41 | 0.45 | 1486 | 1458 | 0.99 |
| 2022/23 | Southampton FC | Premier League | ST | 28 | 1997 | 58% | 5 | 3 | 0.36 | 0.54 | 1559 | 1375 | 1.23 |
| 2021/22 | Southampton FC | Premier League | ST | 30 | 2042 | 60% | 7 | 3 | 0.44 | 0.57 | 1558 | 1436 | 1.17 |
| 2020/21 | Southampton FC | Premier League | ST | 36 | 2674 | 78% | 9 | 5 | 0.47 | 0.53 | 1557 | 1468 | 1.19 |
| 2019/20 | Southampton FC | Premier League | ST | 30 | 1106 | 32% | 4 | 3 | 0.57 | 0.70 | 1612 | 1528 | 1.14 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Italy Cup | Torino FC | 3 | 213 | 2 | 0 | — |
| 2025/26 | World Cup | Scotland | 3 | 147 | 0 | 0 | — |
| 2024/25 | Italy Cup | Torino FC | 2 | 115 | 1 | 1 | — |
| 2022/23 | Fa Cup | Southampton FC | 2 | 65 | 0 | 0 | — |
| 2021/22 | Fa Cup | Southampton FC | 1 | 27 | 0 | 0 | — |
| 2020/21 | Fa Cup | Southampton FC | 5 | 217 | 0 | 0 | — |
| 2019/20 | Fa Cup | Southampton FC | 3 | 115 | 0 | 1 | — |
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 |
|---|---|---|---|---|
| Dame N'Doye Premier League · 2015 | 30 | €7.0M | €2.0M | fell |
| Giovanni Sio Ligue 1 · 2018 | 29 | €3.5M | €1.4M | fell |
| Julio Tavarès Ligue 1 · 2018 | 30 | €5.0M | €2.2M | fell |
| Bryan Ruiz Eredivisie · 2014 | 29 | €8.0M | €6.0M | fell |
| Jérémie Aliadière Ligue 1 · 2014 | 31 | €3.0M | €1.3M | fell |
| Florian Niederlechner Bundesliga · 2021 | 31 | €4.0M | €800k | fell |
| Antonio Puertas Laliga · 2021 | 29 | €5.0M | €4.0M | fell |
| Salomon Kalou Bundesliga · 2015 | 30 | €3.5M | €4.0M | flat |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 23 Jul 2024 | Southampton | Torino | Free / loan | €15.0M |
| 1 Jul 2019 | Birmingham | Southampton | €16.7M | €7.0M |
| 8 Aug 2016 | Sheff Utd | Birmingham | €2.2M | €350k |
| 14 Nov 2014 | Ilkeston | Sheff Utd | Unknown | Data unavailable |
| 1 Jul 2013 | Oadby Town | Ilkeston | Unknown | Data unavailable |
| 1 Jul 2012 | Leicester SA | Oadby Town | Unknown | Data unavailable |
| 1 Jul 2010 | Coventry City Y | Leicester SA | 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.