
Lewis Cook
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Lewis Cook's performance-implied value at EUR 16.6M-34.3M, above the estimated acquisition range of EUR 4.1M-10.8M. Its 24-month market value projection is EUR 3.2M-7.8M. Context-adjusted goal contributions are 0.74x the positional average in the league (872 minutes, league coefficient 1.30). Confidence is low: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.
Bargain Index: not assigned
What drives the score. Not a black box: each component and its level.
Insufficient sample (< 900 league minutes)
| Performance | Elite | 91th pct among MID peers (age-neutral) |
| Age | Unfavorable | 29.4 years |
| Acquisition cost | Very favorable | est. €6.0M vs market €11.0M |
| Expected appreciation | Very low | -51% over ~2 years (model) |
| Value gap | Very large | weak predictor on its own |
| Development | Low | |
| League translation | Big-five league | league coefficient 1.3 |
| Tactical fit | Not evaluated | Requires event/role data not available from the current free source. |
| Risk | High | |
| Data confidence | Low |
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 1164 evaluated MID players with 900+ minutes.
Performance (last season, league)
- Minutes
- 872 (26% of available)
- Goals + assists / 90
- 0.10
- Context-adjusted G+A / 90
- 0.16
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 91 (Elite)
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
- 1.30 (rank 1)
- Team strength (Elo)
- 1643
- Opponent strength
- 1577
- 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)
- €3.2M – €7.8M
Trajectory drivers: minutes share down 62 pts; team strength up (+60 Elo); role change DM -> CM; relative output down 26% vs positional peers.
Historical comparables (8): median 2-year value change -57% (IQR -74% to -10%).
Risk profile
Overall: High
- ▲Small sample: 872 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 | AFC Bournemouth | Premier League | CM | 18 | 872 | 25% | 0 | 1 | 0.10 | 0.16 | 1577 | 1643 | 1.30 |
| 2024/25 | AFC Bournemouth | Premier League | DM | 36 | 2978 | 87% | 1 | 3 | 0.12 | 0.13 | 1579 | 1582 | 1.23 |
| 2023/24 | AFC Bournemouth | Premier League | DM | 33 | 2792 | 82% | 0 | 3 | 0.10 | 0.11 | 1578 | 1496 | 1.14 |
| 2022/23 | AFC Bournemouth | Premier League | CM | 28 | 1715 | 50% | 0 | 2 | 0.10 | 0.18 | 1567 | 1425 | 1.23 |
| 2019/20 | AFC Bournemouth | Premier League | CM | 27 | 1345 | 39% | 0 | 0 | 0.00 | 0.13 | 1629 | 1415 | 1.14 |
| 2018/19 | AFC Bournemouth | Premier League | CM | 13 | 722 | 21% | 0 | 0 | 0.00 | 0.13 | 1529 | 1495 | 1.22 |
| 2017/18 | AFC Bournemouth | Premier League | CM | 29 | 2239 | 65% | 0 | 2 | 0.08 | 0.15 | 1545 | 1485 | 1.15 |
| 2016/17 | AFC Bournemouth | Premier League | CM | 6 | 431 | 13% | 0 | 1 | 0.21 | 0.23 | 1485 | 1458 | 1.07 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Fa Cup | AFC Bournemouth | 1 | 120 | 0 | 0 | — |
| 2024/25 | Fa Cup | AFC Bournemouth | 3 | 300 | 0 | 0 | — |
| 2023/24 | Fa Cup | AFC Bournemouth | 3 | 300 | 0 | 0 | — |
| 2022/23 | Fa Cup | AFC Bournemouth | 1 | 90 | 0 | 0 | — |
| 2019/20 | Fa Cup | AFC Bournemouth | 1 | 90 | 0 | 0 | — |
| 2016/17 | Fa Cup | AFC Bournemouth | 1 | 16 | 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 |
|---|---|---|---|---|
| Danny Drinkwater Premier League · 2018 | 28 | €20.0M | €4.8M | fell |
| Héctor Herrera Laliga · 2020 | 30 | €16.0M | €5.0M | fell |
| Pablo Fornals Premier League · 2023 | 27 | €22.0M | €6.0M | fell |
| Harrison Reed Premier League · 2024 | 29 | €15.0M | €2.0M | fell |
| Moussa Sissoko Premier League · 2017 | 28 | €20.0M | €25.0M | rose |
| Étienne Capoue Premier League · 2014 | 26 | €9.0M | €9.0M | flat |
| Mohamed Elneny Premier League · 2021 | 29 | €10.0M | €6.0M | fell |
| Jonny Otto Premier League · 2021 | 27 | €15.0M | €13.0M | flat |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 8 Jul 2016 | Leeds | Bournemouth | €7.0M | €4.0M |
| 1 Jul 2014 | Leeds U18 | Leeds | 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.