
Marquinhos
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Marquinhos's performance-implied value at EUR 5.9M-15.9M, below the estimated acquisition range of EUR 15.0M-29.1M. Its 24-month market value projection is EUR 7.3M-13.2M. Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.
Bargain Index: 0
What drives the score. Not a black box: each component and its level.
| Performance | Elite | 94.6th pct among DEF peers (age-neutral) |
| Age | Unfavorable | 32.1 years |
| Acquisition cost | Favorable | est. €23.2M vs market €28.0M |
| Expected appreciation | Very low | -70% over ~2 years (model) |
| Value gap | Very 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 | 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 1268 evaluated DEF players with 900+ minutes.
Performance (last season, league)
- Minutes
- 1049 (34% of available)
- Goals + assists / 90
- 0.00
- Context-adjusted G+A / 90
- 0.02
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 95 (Elite)
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)
- 1818
- Opponent strength
- 1457
- 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)
- €7.3M – €13.2M
Trajectory drivers: minutes share down 22 pts; relative output down 70% vs positional peers.
Historical comparables (8): median 2-year value change -60% (IQR -68% to -50%).
Risk profile
Overall: High
- ▲Age 32: resale value typically declines.
- ⚠Limited sample: 1049 league minutes last season.
- ⚠Played under 40% of available league minutes (injury data unavailable, cause unknown).
- ⚠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 | Paris Saint-Germain | Ligue 1 | CB | 14 | 1049 | 34% | 0 | 0 | 0.00 | 0.02 | 1457 | 1817 | 0.88 |
| 2024/25 | Paris Saint-Germain | Ligue 1 | CB | 22 | 1725 | 56% | 2 | 0 | 0.10 | 0.06 | 1461 | 1812 | 0.88 |
| 2023/24 | Paris Saint-Germain | Ligue 1 | CB | 21 | 1540 | 50% | 0 | 1 | 0.06 | 0.04 | 1470 | 1700 | 0.87 |
| 2022/23 | Paris Saint-Germain | Ligue 1 | CB | 33 | 2719 | 80% | 2 | 1 | 0.10 | 0.05 | 1427 | 1672 | 0.82 |
| 2021/22 | Paris Saint-Germain | Ligue 1 | CB | 32 | 2862 | 84% | 5 | 0 | 0.16 | 0.08 | 1421 | 1714 | 0.86 |
| 2020/21 | Paris Saint-Germain | Ligue 1 | CB | 25 | 2129 | 62% | 3 | 1 | 0.17 | 0.07 | 1429 | 1727 | 0.75 |
| 2019/20 | Paris Saint-Germain | Ligue 1 | DM | 19 | 1474 | 61% | 3 | 1 | 0.24 | 0.10 | 1413 | 1779 | 0.82 |
| 2018/19 | Paris Saint-Germain | Ligue 1 | CB | 30 | 2695 | 79% | 3 | 2 | 0.17 | 0.08 | 1435 | 1714 | 0.82 |
| 2017/18 | Paris Saint-Germain | Ligue 1 | CB | 26 | 2264 | 66% | 0 | 2 | 0.08 | 0.04 | 1449 | 1774 | 0.85 |
| 2016/17 | Paris Saint-Germain | Ligue 1 | CB | 29 | 2500 | 73% | 3 | 0 | 0.11 | 0.06 | 1417 | 1757 | 0.88 |
| 2015/16 | Paris Saint-Germain | Ligue 1 | CB | 29 | 1923 | 56% | 1 | 0 | 0.05 | 0.03 | 1419 | 1748 | 0.78 |
| 2014/15 | Paris Saint-Germain | Ligue 1 | CB | 25 | 1873 | 55% | 2 | 0 | 0.10 | 0.07 | 1439 | 1690 | 0.80 |
| 2013/14 | Paris Saint-Germain | Ligue 1 | CB | 21 | 1652 | 48% | 2 | 0 | 0.11 | 0.05 | 1461 | 1720 | 0.79 |
| 2012/13 | Associazione Sportiva Roma | Serie A | CB | 26 | 2088 | 61% | 0 | 0 | 0.00 | 0.02 | 1402 | 1521 | 0.88 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Uefa Champions League | Paris Saint-Germain | 14 | 1215 | 2 | 0 | 1693 |
| 2025/26 | World Cup | Brazil | 3 | 270 | 0 | 0 | — |
| 2025/26 | Trophee Des Champions | Paris Saint-Germain | 1 | 90 | 0 | 0 | 1580 |
| 2025/26 | Uefa Super Cup | Paris Saint-Germain | 1 | 90 | 0 | 0 | 1564 |
| 2024/25 | Uefa Champions League | Paris Saint-Germain | 16 | 1440 | 0 | 0 | 1700 |
| 2024/25 | Trophee Des Champions | Paris Saint-Germain | 1 | 90 | 0 | 0 | 1584 |
| 2023/24 | Uefa Champions League | Paris Saint-Germain | 10 | 900 | 0 | 1 | 1694 |
| 2023/24 | Trophee Des Champions | Paris Saint-Germain | 1 | 90 | 0 | 0 | 1397 |
| 2022/23 | Uefa Champions League | Paris Saint-Germain | 8 | 655 | 0 | 0 | 1662 |
| 2022/23 | Trophee Des Champions | Paris Saint-Germain | 1 | 90 | 0 | 0 | 1457 |
| 2021/22 | Uefa Champions League | Paris Saint-Germain | 8 | 720 | 0 | 1 | 1709 |
| 2020/21 | Uefa Champions League | Paris Saint-Germain | 10 | 817 | 3 | 0 | 1718 |
| 2020/21 | Trophee Des Champions | Paris Saint-Germain | 1 | 90 | 0 | 0 | 1522 |
| 2019/20 | Uefa Champions League | Paris Saint-Germain | 11 | 970 | 2 | 0 | 1672 |
| 2019/20 | Trophee Des Champions | Paris Saint-Germain | 1 | 78 | 0 | 0 | 1488 |
| 2018/19 | Uefa Champions League | Paris Saint-Germain | 7 | 630 | 1 | 0 | 1715 |
| 2018/19 | Trophee Des Champions | Paris Saint-Germain | 1 | 26 | 0 | 0 | 1620 |
| 2017/18 | Uefa Champions League | Paris Saint-Germain | 8 | 720 | 0 | 1 | 1727 |
| 2017/18 | Trophee Des Champions | Paris Saint-Germain | 1 | 90 | 0 | 0 | 1727 |
| 2016/17 | Uefa Champions League | Paris Saint-Germain | 8 | 720 | 0 | 0 | 1674 |
| 2015/16 | Uefa Champions League | Paris Saint-Germain | 6 | 540 | 0 | 0 | 1671 |
| 2014/15 | Uefa Champions League | Paris Saint-Germain | 7 | 660 | 0 | 0 | 1757 |
| 2014/15 | Trophee Des Champions | Paris Saint-Germain | 1 | 90 | 0 | 0 | 1360 |
| 2013/14 | Uefa Champions League | Paris Saint-Germain | 8 | 530 | 3 | 1 | 1613 |
| 2012/13 | Italy Cup | Associazione Sportiva Roma | 4 | 360 | 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 |
|---|---|---|---|---|
| Kwadwo Asamoah Serie A · 2018 | 30 | €14.0M | €6.5M | fell |
| Javi Martínez Bundesliga · 2020 | 32 | €13.0M | €3.5M | fell |
| Milan Škriniar Ligue 1 · 2024 | 29 | €30.0M | €10.0M | fell |
| Ferland Mendy Laliga · 2024 | 29 | €22.0M | €4.0M | fell |
| Thiago Silva Ligue 1 · 2013 | 29 | €40.0M | €30.0M | fell |
| Christophe Jallet Ligue 1 · 2014 | 31 | €5.0M | €2.0M | fell |
| Toby Alderweireld Premier League · 2018 | 29 | €40.0M | €24.0M | fell |
| José María Giménez Laliga · 2024 | 29 | €22.0M | €9.0M | fell |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 19 Jul 2013 | Roma | PSG | €31.4M | €15.0M |
| 3 Jan 2013 | Corinthians | Roma | €5.7M | €750k |
| 2 Jan 2013 | Roma | Corinthians | Free / loan | €750k |
| 21 Aug 2012 | Corinthians | Roma | Free / loan | €750k |
| 1 Jan 2012 | Corinthians U20 | Corinthians | 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.