
Pere Milla
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Pere Milla's performance-implied value at EUR 0.9M-1.6M, above the estimated acquisition range of EUR 0.3M-0.8M. Its 24-month market value projection is EUR 0.3M-0.9M. Context-adjusted goal contributions are 1.01x the positional average in the league (1988 minutes, league coefficient 0.95). 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: not assigned
What drives the score. Not a black box: each component and its level.
Age above 33 (outside validated pool)
| Performance | Above average | 60.4th pct among ATT peers (age-neutral) |
| Age | Unfavorable | 33.8 years |
| Acquisition cost | Very favorable | est. €355k vs market €1.0M |
| Expected appreciation | Very low | -52% 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 | 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
- 1988 (58% of available)
- Goals + assists / 90
- 0.36
- Context-adjusted G+A / 90
- 0.41
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 60 (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
- 0.95 (rank 2)
- Team strength (Elo)
- 1399
- Opponent strength
- 1460
- Possession, role
- Data unavailable
League strength 1.00 = average club of the big-five leagues. Elo includes continental matches.
Potential
- Development
- Low
- Trajectory
- insufficient
- Breakout probability
- Age > 23
- Resale range (24m)
- €298k – €868k
Historical comparables (8): median 2-year value change -51% (IQR -68% to -33%).
Risk profile
Overall: Moderate
- ▲Age 34: resale value typically declines.
- ⚠Contract ends in 12 months: cheaper, but competition and wage demands likely.
- ⓘ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 | RCD Espanyol Barcelona | Laliga | LW | 33 | 1988 | 58% | 7 | 1 | 0.36 | 0.41 | 1460 | 1399 | 0.95 |
| 2024/25 | RCD Espanyol Barcelona | Laliga | LW | 20 | 443 | 13% | 3 | 0 | 0.61 | 0.61 | 1504 | 1411 | 0.95 |
| 2022/23 | Elche CF | Laliga | LW | 31 | 1873 | 55% | 6 | 1 | 0.34 | 0.57 | 1512 | 1353 | 0.98 |
| 2021/22 | Elche CF | Laliga | LW | 32 | 1639 | 48% | 8 | 3 | 0.60 | 0.70 | 1560 | 1421 | 1.05 |
| 2020/21 | Elche CF | Laliga | ST | 31 | 1937 | 57% | 4 | 3 | 0.33 | 0.48 | 1529 | 1411 | 1.10 |
| 2018/19 | SD Eibar | Laliga | LW | 5 | 345 | 10% | 0 | 0 | 0.00 | 0.37 | 1541 | 1531 | 1.14 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2024/25 | Copa Del Rey | RCD Espanyol Barcelona | 2 | 103 | 0 | 0 | — |
| 2022/23 | Copa Del Rey | Elche CF | 2 | 83 | 1 | 0 | — |
| 2021/22 | Copa Del Rey | Elche CF | 4 | 311 | 0 | 0 | — |
| 2018/19 | Copa Del Rey | SD Eibar | 2 | 135 | 0 | 0 | — |
| 2014/15 | Copa Del Rey | Getafe CF | 1 | 47 | 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 |
|---|---|---|---|---|
| Alberto Gilardino Serie A · 2016 | 34 | €1.0M | €200k | fell |
| Simon Zoller Bundesliga · 2023 | 32 | €1.1M | €300k | fell |
| Giampaolo Pazzini Serie A · 2016 | 32 | €2.0M | €800k | fell |
| Goran Pandev Serie A · 2018 | 35 | €500k | €325k | fell |
| Ola Toivonen Ligue 1 · 2017 | 31 | €2.0M | €1.5M | fell |
| Alessandro Matri Serie A · 2017 | 33 | €900k | €300k | fell |
| Sergio Floccari Serie A · 2016 | 35 | €500k | €300k | fell |
| Florian Thauvin Serie A · 2024 | 31 | €3.0M | €5.0M | rose |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 15 Aug 2023 | Elche CF | Espanyol | €3.0M | €3.0M |
| 1 Jul 2019 | SD Eibar | Elche CF | Free / loan | €700k |
| 30 Jun 2018 | CD Numancia | SD Eibar | Free / loan | €800k |
| 6 Jul 2017 | SD Eibar | CD Numancia | Free / loan | €300k |
| 30 Jun 2017 | UCAM Murcia | SD Eibar | Free / loan | €300k |
| 2 Aug 2016 | SD Eibar | UCAM Murcia | Free / loan | €400k |
| 1 Jul 2016 | UD Logroñés | SD Eibar | Free / loan | Data unavailable |
| 20 Jul 2015 | Getafe CF B | UD Logroñés | Free / loan | Data unavailable |
| 1 Jul 2014 | Lleida Esportiu | Getafe CF B | Free / loan | Data unavailable |
| 1 Jul 2011 | Lleida U19 | Lleida Esportiu | 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.