
Amir Murillo
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Amir Murillo's performance-implied value at EUR 2.6M-6.7M, below the estimated acquisition range of EUR 2.3M-6.3M. Its 24-month market value projection is EUR 1.6M-4.1M. Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.
Bargain Index: 9
What drives the score. Not a black box: each component and its level.
| Performance | Above average | 71.7th pct among DEF peers (age-neutral) |
| Age | Unfavorable | 30.4 years |
| Acquisition cost | Very favorable | est. €3.7M vs market €7.0M |
| Expected appreciation | Very low | -65% over ~2 years (model) |
| Value gap | Negative | 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 | 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 1268 evaluated DEF players with 900+ minutes.
Performance (last season, league)
- Minutes
- 1945 (64% of available)
- Goals + assists / 90
- 0.28
- Context-adjusted G+A / 90
- 0.19
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 72 (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)
- 1428
- Opponent strength
- 1434
- 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)
- €1.6M – €4.1M
Trajectory drivers: minutes share down 16 pts; team strength down (-129 Elo); league level down (-98 Elo); role change CB -> RB.
Historical comparables (8): median 2-year value change -56% (IQR -67% to -42%).
Risk profile
Overall: Moderate
- ⚠Age 30: resale value typically declines.
- ⚠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 | Olympique Marseille | Ligue 1 | RB | 16 | 988 | 32% | 2 | 2 | 0.36 | 0.19 | 1434 | 1504 | 0.88 |
| 2025/26 | Beşiktaş Jimnastik Kulübü | Super Lig | RB | 12 | 957 | 31% | 1 | 1 | 0.19 | 0.15 | 1292 | 1350 | 0.40 |
| 2024/25 | Olympique Marseille | Ligue 1 | CB | 30 | 2436 | 80% | 1 | 3 | 0.15 | 0.11 | 1438 | 1557 | 0.88 |
| 2023/24 | Olympique Marseille | Ligue 1 | RB | 16 | 995 | 33% | 3 | 2 | 0.45 | 0.25 | 1448 | 1534 | 0.87 |
| 2022/23 | RSC Anderlecht | Jupiler Pro League | RB | 29 | 2448 | 80% | 3 | 3 | 0.22 | 0.12 | 1310 | 1432 | 0.58 |
| 2021/22 | RSC Anderlecht | Jupiler Pro League | RB | 29 | 2402 | 78% | 2 | 3 | 0.19 | 0.12 | 1337 | 1459 | 0.49 |
| 2020/21 | RSC Anderlecht | Jupiler Pro League | RB | 30 | 2492 | 81% | 4 | 3 | 0.25 | 0.16 | 1354 | 1457 | 0.55 |
| 2019/20 | RSC Anderlecht | Jupiler Pro League | RB | 8 | 720 | 28% | 1 | 2 | 0.38 | 0.17 | 1351 | 1443 | 0.63 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Uefa Champions League | Olympique Marseille | 7 | 388 | 0 | 0 | 1626 |
| 2025/26 | World Cup | Panama | 3 | 270 | 0 | 0 | — |
| 2025/26 | Trophee Des Champions | Olympique Marseille | 1 | 13 | 0 | 0 | 1832 |
| 2023/24 | Uefa Europa League | Olympique Marseille | 7 | 279 | 0 | 0 | 1638 |
| 2022/23 | Uefa Conference League Qualifying | RSC Anderlecht | 4 | 373 | 2 | 0 | 1471 |
| 2021/22 | Uefa Conference League Qualifying | RSC Anderlecht | 3 | 185 | 0 | 0 | 1394 |
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 |
|---|---|---|---|---|
| Vedran Corluka Premier Liga · 2017 | 31 | €5.0M | €3.0M | fell |
| Baiano Liga Portugal · 2016 | 29 | €3.5M | €1.5M | fell |
| Aurélien Chedjou Super Lig · 2016 | 31 | €8.0M | €750k | fell |
| Willyan Rocha Premier Liga · 2024 | 29 | €6.0M | €5.5M | flat |
| Sverrir Ingi Ingason Superliga · 2024 | 31 | €4.0M | €1.8M | fell |
| Hördur Magnússon Premier Liga · 2021 | 28 | €3.5M | €2.0M | fell |
| Manuel da Costa Super Lig · 2015 | 29 | €3.8M | €1.3M | fell |
| Kenny Lala Ligue 1 · 2021 | 30 | €4.5M | €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 |
|---|---|---|---|---|
| 6 Feb 2026 | Marseille | Besiktas | €5.0M | €10.0M |
| 30 Aug 2023 | RSC Anderlecht | Marseille | €2.5M | €3.0M |
| 1 Jan 2020 | New York | RSC Anderlecht | €680k | €1.1M |
| 1 Jan 2018 | San Francisco | New York | €233k | €500k |
| 31 Dec 2017 | New York | San Francisco | Free / loan | €500k |
| 18 Feb 2017 | San Francisco | New York | Free / loan | €25k |
| 1 Jan 2015 | San Fran. FC II | San Francisco | Unknown | Data unavailable |
| 1 Jan 2012 | Olympic Colón | San Fran. FC II | 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.