
Ruben Aguilar
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Ruben Aguilar's performance-implied value at EUR 1.0M-2.6M, above the estimated acquisition range of EUR 1.0M-2.5M. Its 24-month market value projection is EUR 0.6M-1.4M. Context-adjusted goal contributions are 0.72x the positional average in the league (1731 minutes, league coefficient 0.88). Confidence is medium: 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.
Age above 33 (outside validated pool)
| Performance | Above average | 72.9th pct among MID peers (age-neutral) |
| Age | Unfavorable | 33.2 years |
| Acquisition cost | Favorable | est. €1.7M vs market €2.5M |
| Expected appreciation | Very low | -69% over ~2 years (model) |
| Value gap | Small | weak predictor on its own |
| Development | Low | |
| League translation | Big-five league | league coefficient 0.88 |
| 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
- 1731 (57% of available)
- Goals + assists / 90
- 0.21
- Context-adjusted G+A / 90
- 0.16
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 73 (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
- 0.88 (rank 5)
- Team strength (Elo)
- 1569
- Opponent strength
- 1482
- 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)
- €586k – €1.4M
Trajectory drivers: minutes share up 20 pts; team strength up (+85 Elo).
Historical comparables (8): median 2-year value change -65% (IQR -70% to -58%).
Risk profile
Overall: High
- ▲Age 33: resale value typically declines.
- ⚠Limited sample: 1731 league minutes last season.
- ⚠No continental-competition minutes last 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 | RC Lens | Ligue 1 | RM | 26 | 1731 | 57% | 2 | 2 | 0.21 | 0.16 | 1482 | 1569 | 0.88 |
| 2024/25 | RC Lens | Ligue 1 | RM | 16 | 1129 | 37% | 1 | 3 | 0.32 | 0.18 | 1434 | 1484 | 0.88 |
| 2023/24 | RC Lens | Ligue 1 | RM | 25 | 1925 | 63% | 1 | 3 | 0.19 | 0.14 | 1453 | 1518 | 0.87 |
| 2022/23 | AS Monaco | Ligue 1 | RB | 20 | 1174 | 34% | 0 | 0 | 0.00 | 0.05 | 1444 | 1485 | 0.82 |
| 2021/22 | AS Monaco | Ligue 1 | RB | 28 | 2138 | 63% | 0 | 2 | 0.08 | 0.08 | 1420 | 1599 | 0.86 |
| 2020/21 | AS Monaco | Ligue 1 | RB | 33 | 2228 | 65% | 1 | 4 | 0.20 | 0.19 | 1445 | 1549 | 0.75 |
| 2019/20 | AS Monaco | Ligue 1 | RB | 19 | 1067 | 42% | 0 | 2 | 0.17 | 0.20 | 1437 | 1426 | 0.82 |
| 2018/19 | Montpellier HSC | Ligue 1 | RM | 29 | 2532 | 74% | 1 | 5 | 0.21 | 0.24 | 1448 | 1475 | 0.82 |
| 2017/18 | Montpellier HSC | Ligue 1 | RB | 31 | 2458 | 72% | 0 | 1 | 0.04 | 0.06 | 1453 | 1438 | 0.85 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2023/24 | Uefa Europa League | RC Lens | 2 | 110 | 0 | 0 | 1511 |
| 2023/24 | Uefa Champions League | RC Lens | 2 | 99 | 0 | 0 | 1525 |
| 2022/23 | Uefa Europa League | AS Monaco | 2 | 125 | 0 | 0 | 1529 |
| 2021/22 | Uefa Europa League | AS Monaco | 6 | 366 | 0 | 0 | 1477 |
| 2021/22 | Uefa Champions League Qualifying | AS Monaco | 2 | 111 | 0 | 0 | 1527 |
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 |
|---|---|---|---|---|
| Marat Izmailov Premier Liga · 2015 | 33 | €1.5M | €300k | fell |
| Carlos Sánchez Serie A · 2017 | 31 | €3.0M | €1.5M | fell |
| Dmitriy Tarasov Premier Liga · 2018 | 31 | €2.0M | €600k | fell |
| Felipe Melo Serie A · 2016 | 33 | €3.5M | €1.0M | fell |
| Stefano Mauri Serie A · 2013 | 33 | €1.5M | €500k | fell |
| Yuriy Zhirkov Premier Liga · 2015 | 32 | €4.0M | €1.5M | fell |
| Jonas Martin Ligue 1 · 2022 | 32 | €2.5M | €1.0M | fell |
| Joey Barton Ligue 1 · 2013 | 31 | €3.0M | €2.5M | flat |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 1 Sept 2023 | Monaco | Lens | €3.5M | €7.0M |
| 6 Aug 2019 | Montpellier | Monaco | €8.0M | €8.0M |
| 1 Jul 2017 | AJ Auxerre | Montpellier | Free / loan | €900k |
| 1 Jul 2014 | Grenoble | AJ Auxerre | Free / loan | Data unavailable |
| 20 Jul 2013 | Saint-Étienne B | Grenoble | Free / loan | Data unavailable |
| 6 Jul 2011 | Grenoble B | Saint-Étienne B | Free / loan | 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.