
Marcos López
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Marcos López's performance-implied value at EUR 0.6M-2.6M, below the estimated acquisition range of EUR 1.6M-4.9M. Its 24-month market value projection is EUR 1.7M-4.7M. Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.
Bargain Index: 61
What drives the score. Not a black box: each component and its level.
| Performance | Below average | 33th pct among DEF peers (age-neutral) |
| Age | Neutral | 26.6 years |
| Acquisition cost | Favorable | est. €2.5M vs market €4.0M |
| Expected appreciation | Very low | -30% over ~2 years (model) |
| Value gap | Very negative | weak predictor on its own |
| Development | Low | |
| League translation | Uncertain | league coefficient 0.47 |
| 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
- 1357 (69% of available)
- Goals + assists / 90
- 0.20
- Context-adjusted G+A / 90
- 0.10
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 33 (Below 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
- 0.47 (rank 12)
- Team strength (Elo)
- 1359
- Opponent strength
- 1231
- 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)
- €1.7M – €4.7M
Trajectory drivers: minutes share up 41 pts.
Historical comparables (8): median 2-year value change -6% (IQR -26% to +11%).
Risk profile
Overall: Moderate
- ⚠Limited sample: 1357 league minutes last season.
- ⚠League level coefficient 0.47 (1.00 = big-five average): output may not translate.
- ⓘ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).
- Historical movers
- 24 (DEF)
- Relative output kept
- 60%–139%
- Held a regular role (900+ min)
- 71%
- Confidence
- Medium
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 | FC Copenhagen | Superliga | LB | 18 | 1357 | 69% | 1 | 2 | 0.20 | 0.11 | 1231 | 1359 | 0.47 |
| 2024/25 | FC Copenhagen | Superliga | LB | 11 | 767 | 39% | 0 | 2 | 0.23 | 0.11 | 1283 | 1399 | 0.38 |
| 2024/25 | Feyenoord Rotterdam | Eredivisie | LM | 1 | 90 | 3% | 0 | 0 | 0.00 | 0.06 | 1178 | 1565 | 0.50 |
| 2023/24 | Feyenoord Rotterdam | Eredivisie | LB | 12 | 461 | 15% | 0 | 1 | 0.20 | 0.08 | 1298 | 1593 | 0.48 |
| 2022/23 | Feyenoord Rotterdam | Eredivisie | LB | 19 | 792 | 26% | 0 | 1 | 0.11 | 0.08 | 1399 | 1639 | 0.58 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Uefa Champions League | FC Copenhagen | 8 | 657 | 0 | 1 | 1618 |
| 2025/26 | Uefa Champions League Qualifying | FC Copenhagen | 5 | 405 | 0 | 1 | 1407 |
| 2025/26 | Oddset Pokalen | FC Copenhagen | 5 | 325 | 0 | 1 | — |
| 2024/25 | Oddset Pokalen | FC Copenhagen | 6 | 519 | 0 | 0 | — |
| 2024/25 | Uefa Conference League Qualifying | FC Copenhagen | 1 | 90 | 0 | 0 | 1206 |
| 2024/25 | Johan Cruijff Schaal | Feyenoord Rotterdam | 1 | 77 | 0 | 0 | 1659 |
| 2023/24 | Uefa Champions League | Feyenoord Rotterdam | 1 | 45 | 0 | 0 | 1589 |
| 2023/24 | Knvb Beker | Feyenoord Rotterdam | 1 | 45 | 0 | 0 | — |
| 2023/24 | Johan Cruijff Schaal | Feyenoord Rotterdam | 1 | 18 | 0 | 0 | 1649 |
| 2022/23 | Uefa Europa League | Feyenoord Rotterdam | 8 | 449 | 0 | 1 | 1433 |
| 2022/23 | Knvb Beker | Feyenoord Rotterdam | 1 | 1 | 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 |
|---|---|---|---|---|
| Kaio Premier Liga · 2021 | 26 | €1.8M | €2.0M | flat |
| Cristián Borja Super Lig · 2022 | 29 | €3.0M | €2.5M | flat |
| Blas Riveros Superliga · 2023 | 25 | €1.5M | €1.0M | fell |
| Dmitriy Skopintsev Premier Liga · 2021 | 24 | €4.0M | €3.0M | fell |
| Frederik Alves Superliga · 2024 | 25 | €2.5M | €2.8M | flat |
| Mads Bech Sørensen Superliga · 2024 | 25 | €2.5M | €6.0M | rose |
| Bright Osayi-Samuel Super Lig · 2022 | 24 | €8.0M | €8.5M | flat |
| Niklas Hult Super League 1 · 2017 | 27 | €1.8M | €1.3M | fell |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 1 Jul 2025 | Feyenoord | Copenhagen | €1.2M | €2.5M |
| 30 Jun 2025 | Copenhagen | Feyenoord | Free / loan | €2.5M |
| 22 Aug 2024 | Feyenoord | Copenhagen | Free / loan | €3.0M |
| 8 Aug 2022 | SJ Earthquakes | Feyenoord | €1.2M | €1.8M |
| 6 Jan 2019 | Sport. Cristal | SJ Earthquakes | €350k | €75k |
| 31 Aug 2017 | U. San Martín | Sport. Cristal | Unknown | €75k |
| 1 Jan 2016 | U San Martín II | U. San Martín | 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.