
Dani Ceballos
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Dani Ceballos's performance-implied value at EUR 6.3M-16.2M, above the estimated acquisition range of EUR 2.4M-8.3M. Its 24-month market value projection is EUR 1.7M-4.9M. Context-adjusted goal contributions are 0.37x the positional average in the league (482 minutes, league coefficient 0.95). Confidence is low: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.
Acquisition note: Contract end date unavailable: range widened by 15% each side.
Bargain Index: not assigned
What drives the score. Not a black box: each component and its level.
Insufficient sample (< 900 league minutes)
| Performance | High | 85.9th pct among MID peers (age-neutral) |
| Age | Unfavorable | 29.9 years |
| Acquisition cost | Very favorable | est. €4.0M vs market €7.0M |
| Expected appreciation | Very low | -50% over ~2 years (model) |
| Value gap | Very large | weak predictor on its own |
| Development | Low | |
| League translation | Big-five league | league coefficient 0.95 |
| Tactical fit | Not evaluated | Requires event/role data not available from the current free source. |
| Risk | Moderate | |
| 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
- 482 (14% of available)
- Goals + assists / 90
- 0.00
- Context-adjusted G+A / 90
- 0.08
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 86 (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
- 0.95 (rank 2)
- Team strength (Elo)
- 1745
- Opponent strength
- 1451
- 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)
- €1.7M – €4.9M
Trajectory drivers: minutes share down 22 pts; relative output up 35% vs positional peers.
Historical comparables (8): median 2-year value change -59% (IQR -66% to -54%).
Risk profile
Overall: Moderate
- ▲Small sample: 482 league minutes last season.
- ⚠Played under 40% of available league minutes (injury data unavailable, cause unknown).
- ⓘContract end date unavailable (or stale in source).
- ⓘ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 | Real Madrid | Laliga | CM | 16 | 482 | 14% | 0 | 0 | 0.00 | 0.08 | 1451 | 1745 | 0.95 |
| 2024/25 | Real Madrid | Laliga | CM | 23 | 1218 | 36% | 0 | 0 | 0.00 | 0.06 | 1494 | 1764 | 0.95 |
| 2023/24 | Real Madrid | Laliga | CM | 20 | 587 | 17% | 0 | 2 | 0.31 | 0.13 | 1429 | 1867 | 1.00 |
| 2022/23 | Real Madrid | Laliga | CM | 30 | 1569 | 46% | 0 | 4 | 0.23 | 0.13 | 1491 | 1737 | 0.98 |
| 2021/22 | Real Madrid | Laliga | CM | 11 | 268 | 8% | 0 | 0 | 0.00 | 0.09 | 1482 | 1812 | 1.05 |
| 2020/21 | Arsenal FC | Premier League | CM | 25 | 1614 | 47% | 0 | 3 | 0.17 | 0.15 | 1518 | 1688 | 1.19 |
| 2019/20 | Arsenal FC | Premier League | CM | 24 | 1700 | 50% | 0 | 2 | 0.11 | 0.12 | 1564 | 1641 | 1.14 |
| 2018/19 | Real Madrid | Laliga | CM | 23 | 1246 | 36% | 3 | 0 | 0.22 | 0.13 | 1498 | 1676 | 1.14 |
| 2017/18 | Real Madrid | Laliga | CM | 12 | 397 | 12% | 2 | 0 | 0.45 | 0.13 | 1485 | 1874 | 1.11 |
| 2016/17 | Real Betis Balompié | Laliga | CM | 30 | 2336 | 68% | 2 | 2 | 0.15 | 0.24 | 1582 | 1419 | 1.11 |
| 2015/16 | Real Betis Balompié | Laliga | CM | 34 | 2131 | 62% | 0 | 2 | 0.08 | 0.17 | 1589 | 1468 | 1.17 |
| 2013/14 | Real Betis Balompié | Laliga | CM | 1 | 9 | 0% | 0 | 0 | 0.00 | 0.27 | 1590 | 1451 | 1.19 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Uefa Champions League | Real Madrid | 4 | 247 | 0 | 0 | 1559 |
| 2025/26 | Copa Del Rey | Real Madrid | 1 | 86 | 0 | 0 | — |
| 2025/26 | Supercopa | Real Madrid | 2 | 11 | 0 | 0 | 1778 |
| 2024/25 | Uefa Champions League | Real Madrid | 9 | 406 | 0 | 1 | 1718 |
| 2024/25 | Copa Del Rey | Real Madrid | 5 | 274 | 0 | 1 | — |
| 2024/25 | Supercopa | Real Madrid | 2 | 60 | 0 | 0 | 1695 |
| 2024/25 | Uefa Super Cup | Real Madrid | 1 | 2 | 0 | 0 | 1709 |
| 2023/24 | Uefa Champions League | Real Madrid | 3 | 153 | 1 | 0 | 1573 |
| 2023/24 | Copa Del Rey | Real Madrid | 2 | 105 | 0 | 0 | — |
| 2023/24 | Supercopa | Real Madrid | 2 | 19 | 0 | 0 | 1688 |
| 2022/23 | Copa Del Rey | Real Madrid | 4 | 205 | 1 | 3 | — |
| 2022/23 | Uefa Champions League | Real Madrid | 7 | 79 | 0 | 0 | 1675 |
| 2022/23 | Supercopa | Real Madrid | 2 | 40 | 0 | 0 | 1651 |
| 2022/23 | Uefa Super Cup | Real Madrid | 1 | 5 | 0 | 0 | 1595 |
| 2021/22 | Uefa Champions League | Real Madrid | 5 | 37 | 0 | 0 | 1859 |
| 2021/22 | Copa Del Rey | Real Madrid | 2 | 34 | 0 | 1 | — |
| 2020/21 | Uefa Europa League | Arsenal FC | 12 | 586 | 0 | 0 | 1536 |
| 2019/20 | Uefa Europa League | Arsenal FC | 6 | 311 | 1 | 0 | 1517 |
| 2019/20 | Fa Cup | Arsenal FC | 5 | 296 | 1 | 0 | — |
| 2018/19 | Copa Del Rey | Real Madrid | 6 | 430 | 0 | 2 | — |
| 2018/19 | Uefa Champions League | Real Madrid | 3 | 185 | 0 | 0 | 1566 |
| 2018/19 | Uefa Super Cup | Real Madrid | 1 | 44 | 0 | 0 | 1768 |
| 2017/18 | Copa Del Rey | Real Madrid | 5 | 411 | 0 | 0 | — |
| 2017/18 | Uefa Champions League | Real Madrid | 4 | 83 | 0 | 0 | 1515 |
| 2017/18 | Supercopa | Real Madrid | 1 | 10 | 0 | 0 | 1843 |
| 2016/17 | Copa Del Rey | Real Betis Balompié | 1 | 90 | 0 | 0 | — |
| 2015/16 | Copa Del Rey | Real Betis Balompié | 4 | 101 | 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 |
|---|---|---|---|---|
| Simone Padoin Serie A · 2013 | 29 | €4.0M | €2.0M | fell |
| Fernando Premier League · 2017 | 30 | €10.0M | €4.5M | fell |
| Roberto Gagliardini Serie A · 2023 | 29 | €4.0M | €1.4M | fell |
| Claudio Marchisio Serie A · 2018 | 32 | €7.0M | €3.0M | fell |
| Hernanes Serie A · 2016 | 31 | €8.0M | €2.5M | fell |
| Tiemoué Bakayoko Serie A · 2022 | 28 | €10.0M | €2.0M | fell |
| Sime Vrsaljko Laliga · 2021 | 29 | €5.0M | €4.0M | fell |
| Héctor Herrera Laliga · 2022 | 32 | €5.0M | €2.0M | fell |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 30 Jun 2021 | Arsenal | Real Madrid | Free / loan | €27.0M |
| 25 Jul 2019 | Real Madrid | Arsenal | Free / loan | €30.0M |
| 14 Jul 2017 | Real Betis | Real Madrid | €16.5M | €10.0M |
| 1 Jul 2015 | Betis B | Real Betis | Unknown | €2.5M |
| 1 Jul 2014 | Betis U19 | Betis B | Unknown | Data unavailable |
| 1 Jul 2012 | Real Betis Yth. | Betis U19 | 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.