Ruben Loftus-Cheek
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Ruben Loftus-Cheek's performance-implied value at EUR 5.3M-14.8M, above the estimated acquisition range of EUR 2.2M-6.7M. Its 24-month market value projection is EUR 2.7M-6.4M. Context-adjusted goal contributions are 0.82x the positional average in the league (1126 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: 39
What drives the score. Not a black box: each component and its level.
| Performance | High | 87th pct among MID peers (age-neutral) |
| Age | Unfavorable | 30.4 years |
| Acquisition cost | Very favorable | est. €3.0M vs market €8.5M |
| Expected appreciation | Very low | -54% 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 | High | |
| 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
- 1126 (33% of available)
- Goals + assists / 90
- 0.32
- Context-adjusted G+A / 90
- 0.18
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 87 (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)
- 1570
- Opponent strength
- 1443
- 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)
- €2.7M – €6.4M
Trajectory drivers: role change AM -> CM; relative output up 112% vs positional peers.
Historical comparables (8): median 2-year value change -53% (IQR -61% to -9%).
Risk profile
Overall: High
- ⚠Limited sample: 1126 league minutes last season.
- ⚠Contract ends in 12 months: cheaper, but competition and wage demands likely.
- ⚠Age 30: resale value typically declines.
- ⚠Played under 40% of available league minutes (injury data unavailable, cause unknown).
- ⓘ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 | AC Milan | Serie A | CM | 28 | 1126 | 33% | 3 | 1 | 0.32 | 0.18 | 1443 | 1570 | 0.93 |
| 2024/25 | AC Milan | Serie A | AM | 19 | 1032 | 30% | 0 | 0 | 0.00 | 0.15 | 1476 | 1625 | 0.99 |
| 2023/24 | AC Milan | Serie A | AM | 29 | 2081 | 61% | 6 | 2 | 0.35 | 0.26 | 1487 | 1625 | 0.98 |
| 2022/23 | Chelsea FC | Premier League | DM | 25 | 1542 | 45% | 0 | 1 | 0.06 | 0.06 | 1570 | 1579 | 1.23 |
| 2021/22 | Chelsea FC | Premier League | DM | 24 | 1387 | 41% | 0 | 3 | 0.19 | 0.09 | 1527 | 1737 | 1.17 |
| 2020/21 | Fulham FC | Premier League | AM | 30 | 1913 | 56% | 1 | 0 | 0.05 | 0.27 | 1576 | 1352 | 1.19 |
| 2020/21 | Chelsea FC | Premier League | AM | 1 | 61 | 2% | 0 | 0 | 0.00 | 0.27 | 1449 | 1735 | 1.19 |
| 2019/20 | Chelsea FC | Premier League | CM | 7 | 205 | 6% | 0 | 1 | 0.44 | 0.17 | 1420 | 1653 | 1.14 |
| 2018/19 | Chelsea FC | Premier League | CM | 24 | 982 | 29% | 6 | 2 | 0.73 | 0.33 | 1520 | 1750 | 1.22 |
| 2017/18 | Crystal Palace | Premier League | LM | 24 | 1875 | 55% | 2 | 4 | 0.29 | 0.29 | 1509 | 1520 | 1.15 |
| 2016/17 | Chelsea FC | Premier League | CM | 6 | 32 | 1% | 0 | 0 | 0.00 | 0.17 | 1604 | 1756 | 1.07 |
| 2015/16 | Chelsea FC | Premier League | CM | 13 | 407 | 12% | 1 | 1 | 0.44 | 0.21 | 1498 | 1625 | 1.08 |
| 2014/15 | Chelsea FC | Premier League | DM | 3 | 134 | 4% | 0 | 0 | 0.00 | 0.05 | 1541 | 1754 | 1.06 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Italy Cup | AC Milan | 3 | 237 | 0 | 0 | — |
| 2025/26 | Supercoppa Italiana | AC Milan | 1 | 90 | 0 | 0 | 1647 |
| 2024/25 | Uefa Champions League | AC Milan | 6 | 282 | 0 | 0 | 1685 |
| 2024/25 | Italy Cup | AC Milan | 2 | 57 | 0 | 1 | — |
| 2024/25 | Supercoppa Italiana | AC Milan | 1 | 13 | 0 | 0 | 1846 |
| 2023/24 | Uefa Europa League | AC Milan | 6 | 381 | 4 | 0 | 1605 |
| 2023/24 | Uefa Champions League | AC Milan | 4 | 325 | 0 | 0 | 1693 |
| 2023/24 | Italy Cup | AC Milan | 1 | 73 | 0 | 0 | — |
| 2022/23 | Uefa Champions League | Chelsea FC | 7 | 280 | 0 | 1 | 1678 |
| 2021/22 | Uefa Champions League | Chelsea FC | 8 | 359 | 0 | 1 | 1690 |
| 2021/22 | Fa Cup | Chelsea FC | 5 | 303 | 1 | 1 | — |
| 2020/21 | Fa Cup | Fulham FC | 2 | 113 | 0 | 0 | — |
| 2019/20 | Fa Cup | Chelsea FC | 2 | 22 | 0 | 0 | — |
| 2018/19 | Uefa Europa League | Chelsea FC | 11 | 716 | 4 | 3 | 1514 |
| 2018/19 | Fa Cup | Chelsea FC | 2 | 67 | 0 | 0 | — |
| 2016/17 | Fa Cup | Chelsea FC | 3 | 164 | 0 | 1 | — |
| 2015/16 | Fa Cup | Chelsea FC | 2 | 135 | 1 | 1 | — |
| 2015/16 | Uefa Champions League | Chelsea FC | 1 | 77 | 0 | 0 | 1470 |
| 2014/15 | Uefa Champions League | Chelsea FC | 1 | 7 | 0 | 0 | 1572 |
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 |
|---|---|---|---|---|
| Nabil Fekir Laliga · 2024 | 31 | €10.0M | €10.0M | flat |
| Danny Premier Liga · 2013 | 30 | €14.0M | €6.0M | fell |
| Wesley Sneijder Super Lig · 2013 | 29 | €17.0M | €15.0M | flat |
| Nigel de Jong Serie A · 2013 | 29 | €7.0M | €8.0M | flat |
| Rick Karsdorp Serie A · 2024 | 29 | €5.0M | €2.5M | fell |
| Mario Suárez Premier League · 2016 | 29 | €8.0M | €3.5M | fell |
| Mehmet Topuz Super Lig · 2013 | 30 | €4.2M | €1.3M | fell |
| Marat Izmailov Liga Portugal · 2013 | 31 | €6.0M | €1.5M | fell |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 1 Jul 2023 | Chelsea | AC Milan | €18.9M | €25.0M |
| 31 May 2021 | Fulham | Chelsea | Free / loan | €20.0M |
| 5 Oct 2020 | Chelsea | Fulham | Free / loan | €24.0M |
| 31 May 2018 | Crystal Palace | Chelsea | Free / loan | €15.0M |
| 12 Jul 2017 | Chelsea | Crystal Palace | Free / loan | €5.0M |
| 1 Jan 2015 | Chelsea U21 | Chelsea | Unknown | €150k |
| 1 Jul 2014 | Chelsea U18 | Chelsea U21 | Unknown | €150k |
| 1 Jul 2012 | 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.