
Tammy Abraham
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Tammy Abraham's performance-implied value at EUR 3.9M-18.9M, below the estimated acquisition range of EUR 11.8M-21.1M. Its 24-month market value projection is EUR 4.7M-12.7M. Context-adjusted goal contributions are 0.91x the positional average in the league (1532 minutes, league coefficient 0.40). Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.
Bargain Index: 3
What drives the score. Not a black box: each component and its level.
| Performance | Above average | 73.5th pct among ATT peers (age-neutral) |
| Age | Unfavorable | 28.7 years |
| Acquisition cost | Favorable | est. €14.6M vs market €18.0M |
| Expected appreciation | Very low | -57% over ~2 years (model) |
| Value gap | Very negative | weak predictor on its own |
| Development | Low | |
| League translation | Uncertain | league coefficient 0.4 |
| 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
- 1532 (45% of available)
- Goals + assists / 90
- 0.59
- Context-adjusted G+A / 90
- 0.47
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 74 (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
- 0.40 (rank 18)
- Team strength (Elo)
- 1417
- Opponent strength
- 1258
- 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)
- €4.7M – €12.7M
Trajectory drivers: changed club; team strength down (-208 Elo); league level down (-172 Elo).
Historical comparables (8): median 2-year value change -41% (IQR -50% to -13%).
Risk profile
Overall: Moderate
- ⚠Limited sample: 1532 league minutes last season.
- ⚠League level coefficient 0.40 (1.00 = big-five average): output may not translate.
- ⓘ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
- 53 (ATT)
- Relative output kept
- 79%–133%
- Held a regular role (900+ min)
- 58%
- 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 | Beşiktaş Jimnastik Kulübü | Super Lig | ST | 18 | 1255 | 41% | 7 | 1 | 0.57 | 0.48 | 1258 | 1350 | 0.40 |
| 2025/26 | Aston Villa | Premier League | ST | 12 | 277 | 8% | 2 | 0 | 0.65 | 0.40 | 1580 | 1721 | 1.30 |
| 2024/25 | AC Milan | Serie A | ST | 28 | 1177 | 34% | 3 | 5 | 0.61 | 0.46 | 1501 | 1625 | 0.99 |
| 2024/25 | Associazione Sportiva Roma | Serie A | ST | 1 | 1 | 0% | 0 | 0 | 0.00 | 0.32 | 1349 | 1668 | 0.99 |
| 2023/24 | Associazione Sportiva Roma | Serie A | ST | 8 | 241 | 7% | 1 | 1 | 0.75 | 0.51 | 1524 | 1618 | 0.98 |
| 2022/23 | Associazione Sportiva Roma | Serie A | ST | 38 | 2194 | 64% | 8 | 4 | 0.49 | 0.40 | 1460 | 1578 | 0.94 |
| 2021/22 | Associazione Sportiva Roma | Serie A | ST | 37 | 3097 | 91% | 17 | 4 | 0.61 | 0.43 | 1455 | 1589 | 0.89 |
| 2020/21 | Chelsea FC | Premier League | ST | 22 | 1034 | 30% | 6 | 2 | 0.70 | 0.48 | 1532 | 1735 | 1.19 |
| 2019/20 | Chelsea FC | Premier League | ST | 34 | 2222 | 65% | 15 | 4 | 0.77 | 0.51 | 1565 | 1653 | 1.14 |
| 2017/18 | Swansea City | Premier League | ST | 31 | 1720 | 50% | 5 | 2 | 0.37 | 0.51 | 1516 | 1421 | 1.15 |
| 2015/16 | Chelsea FC | Premier League | ST | 2 | 53 | 2% | 0 | 0 | 0.00 | 0.54 | 1657 | 1625 | 1.08 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Uefa Conference League Qualifying | Beşiktaş Jimnastik Kulübü | 4 | 334 | 4 | 1 | 1299 |
| 2025/26 | Uefa Europa League Qualifying | Beşiktaş Jimnastik Kulübü | 2 | 135 | 1 | 0 | 1422 |
| 2025/26 | Uefa Europa League | Aston Villa | 3 | 95 | 0 | 1 | 1543 |
| 2025/26 | Fa Cup | Aston Villa | 1 | 65 | 1 | 0 | — |
| 2024/25 | Uefa Champions League | AC Milan | 9 | 297 | 2 | 1 | 1605 |
| 2024/25 | Italy Cup | AC Milan | 5 | 240 | 4 | 1 | — |
| 2024/25 | Supercoppa Italiana | AC Milan | 2 | 42 | 1 | 0 | 1726 |
| 2023/24 | Uefa Europa League | Associazione Sportiva Roma | 4 | 80 | 0 | 0 | 1691 |
| 2022/23 | Uefa Europa League | Associazione Sportiva Roma | 14 | 869 | 1 | 2 | 1583 |
| 2022/23 | Italy Cup | Associazione Sportiva Roma | 2 | 123 | 0 | 1 | — |
| 2021/22 | Italy Cup | Associazione Sportiva Roma | 2 | 175 | 1 | 1 | — |
| 2021/22 | Uefa Conference League Qualifying | Associazione Sportiva Roma | 1 | 65 | 0 | 0 | 1382 |
| 2020/21 | Uefa Champions League | Chelsea FC | 5 | 232 | 1 | 2 | 1468 |
| 2020/21 | Fa Cup | Chelsea FC | 3 | 183 | 4 | 0 | — |
| 2019/20 | Uefa Champions League | Chelsea FC | 8 | 568 | 3 | 1 | 1693 |
| 2019/20 | Fa Cup | Chelsea FC | 3 | 112 | 0 | 0 | — |
| 2019/20 | Uefa Super Cup | Chelsea FC | 1 | 46 | 0 | 1 | 1915 |
| 2018/19 | Community Shield | Chelsea FC | 1 | 21 | 0 | 0 | 1831 |
| 2017/18 | Fa Cup | Swansea City | 5 | 407 | 2 | 3 | — |
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 |
|---|---|---|---|---|
| Chuba Akpom Eredivisie · 2024 | 29 | €12.0M | €6.0M | fell |
| Yusuf Yazıcı Premier Liga · 2022 | 25 | €17.0M | €10.0M | fell |
| Éder Liga Portugal · 2015 | 28 | €6.0M | €5.0M | flat |
| Kemar Roofe Jupiler Pro League · 2020 | 27 | €4.5M | €5.5M | rose |
| Daniel Podence Super League 1 · 2024 | 29 | €13.0M | €4.0M | fell |
| Víctor Dávila Premier Liga · 2024 | 27 | €5.0M | €3.0M | fell |
| Nathan Redmond Super Lig · 2023 | 29 | €10.0M | €5.0M | fell |
| Mario Götze Eredivisie · 2021 | 29 | €12.0M | €12.0M | flat |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 27 Jan 2026 | Besiktas | Aston Villa | €21.0M | €14.0M |
| 26 Jan 2026 | Roma | Besiktas | €15.0M | €14.0M |
| 25 Jan 2026 | Besiktas | Roma | Free / loan | €14.0M |
| 1 Jul 2025 | Roma | Besiktas | Free / loan | €15.0M |
| 30 Jun 2025 | AC Milan | Roma | Free / loan | €15.0M |
| 30 Aug 2024 | Roma | AC Milan | Free / loan | €30.0M |
| 17 Aug 2021 | Chelsea | Roma | €41.0M | €38.0M |
| 31 May 2019 | Aston Villa | Chelsea | Free / loan | €15.0M |
| 31 Aug 2018 | Chelsea | Aston Villa | Free / loan | €10.0M |
| 31 May 2018 | Swansea | Chelsea | Free / loan | €10.0M |
| 4 Jul 2017 | Chelsea | Swansea | Free / loan | €8.0M |
| 1 Jul 2017 | Chelsea U23 | Chelsea | Unknown | €8.0M |
| 31 May 2017 | Bristol City | Chelsea U23 | Free / loan | €5.0M |
| 5 Aug 2016 | Chelsea U23 | Bristol City | Free / loan | Data unavailable |
| 1 Jul 2015 | Chelsea U18 | Chelsea U21 | Unknown | Data unavailable |
| 1 Jul 2013 | Chelsea Youth | Chelsea U18 | 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.