
Milan Škriniar
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Milan Škriniar's performance-implied value at EUR 2.3M-7.6M, below the estimated acquisition range of EUR 3.4M-9.7M. Its 24-month market value projection is EUR 2.6M-5.8M. Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.
Bargain Index: 3
What drives the score. Not a black box: each component and its level.
| Performance | High | 75.9th pct among DEF peers (age-neutral) |
| Age | Unfavorable | 31.4 years |
| Acquisition cost | Favorable | est. €6.5M vs market €10.0M |
| Expected appreciation | Very low | -65% over ~2 years (model) |
| Value gap | Very negative | weak predictor on its own |
| Development | Low | |
| League translation | Uncertain | league coefficient 0.4 |
| 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
- 2115 (69% of available)
- Goals + assists / 90
- 0.09
- Context-adjusted G+A / 90
- 0.05
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 76 (High)
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
- 0.40 (rank 18)
- Team strength (Elo)
- 1477
- Opponent strength
- 1276
- 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)
- €2.6M – €5.8M
Trajectory drivers: team strength down (-90 Elo); relative output down 40% vs positional peers.
Historical comparables (8): median 2-year value change -48% (IQR -64% to -13%).
Risk profile
Overall: Moderate
- ⚠League level coefficient 0.40 (1.00 = big-five average): output may not translate.
- ⚠Age 31: 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).
- Historical movers
- 50 (DEF)
- Relative output kept
- 68%–191%
- Held a regular role (900+ min)
- 54%
- 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 | Fenerbahce | Super Lig | CB | 24 | 2115 | 69% | 2 | 0 | 0.09 | 0.05 | 1276 | 1477 | 0.40 |
| 2024/25 | Fenerbahce | Super Lig | CB | 16 | 1440 | 44% | 3 | 1 | 0.25 | 0.10 | 1283 | 1503 | 0.39 |
| 2024/25 | Paris Saint-Germain | Ligue 1 | CB | 5 | 381 | 12% | 0 | 0 | 0.00 | 0.03 | 1402 | 1812 | 0.88 |
| 2023/24 | Paris Saint-Germain | Ligue 1 | CB | 24 | 1624 | 53% | 0 | 0 | 0.00 | 0.02 | 1459 | 1700 | 0.87 |
| 2022/23 | Inter Milan | Serie A | CB | 21 | 1771 | 52% | 0 | 0 | 0.00 | 0.01 | 1450 | 1738 | 0.94 |
| 2021/22 | Inter Milan | Serie A | CB | 35 | 3150 | 92% | 3 | 0 | 0.09 | 0.05 | 1470 | 1731 | 0.89 |
| 2020/21 | Inter Milan | Serie A | CB | 32 | 2779 | 81% | 3 | 0 | 0.10 | 0.05 | 1449 | 1748 | 0.90 |
| 2019/20 | Inter Milan | Serie A | CB | 32 | 2628 | 77% | 0 | 2 | 0.07 | 0.05 | 1406 | 1657 | 0.82 |
| 2018/19 | Inter Milan | Serie A | CB | 35 | 3150 | 92% | 0 | 2 | 0.06 | 0.05 | 1456 | 1565 | 0.78 |
| 2017/18 | Inter Milan | Serie A | CB | 38 | 3420 | 100% | 4 | 0 | 0.11 | 0.09 | 1471 | 1565 | 0.86 |
| 2016/17 | UC Sampdoria | Serie A | CB | 35 | 2998 | 88% | 0 | 0 | 0.00 | 0.02 | 1481 | 1414 | 0.88 |
| 2015/16 | UC Sampdoria | Serie A | CB | 3 | 105 | 3% | 0 | 0 | 0.00 | 0.07 | 1422 | 1412 | 0.95 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Uefa Europa League | Fenerbahce | 8 | 650 | 0 | 1 | 1515 |
| 2025/26 | Uefa Champions League Qualifying | Fenerbahce | 4 | 360 | 0 | 0 | 1613 |
| 2024/25 | Uefa Europa League | Fenerbahce | 4 | 390 | 0 | 1 | 1496 |
| 2023/24 | Uefa Champions League | Paris Saint-Germain | 6 | 539 | 1 | 0 | 1683 |
| 2023/24 | Trophee Des Champions | Paris Saint-Germain | 1 | 71 | 0 | 0 | 1397 |
| 2022/23 | Uefa Champions League | Inter Milan | 8 | 537 | 0 | 0 | 1684 |
| 2022/23 | Supercoppa Italiana | Inter Milan | 1 | 90 | 0 | 1 | 1688 |
| 2022/23 | Italy Cup | Inter Milan | 1 | 7 | 0 | 0 | — |
| 2021/22 | Uefa Champions League | Inter Milan | 8 | 720 | 1 | 0 | 1689 |
| 2021/22 | Italy Cup | Inter Milan | 4 | 390 | 0 | 0 | — |
| 2021/22 | Supercoppa Italiana | Inter Milan | 1 | 120 | 0 | 0 | 1706 |
| 2020/21 | Italy Cup | Inter Milan | 4 | 331 | 0 | 0 | — |
| 2020/21 | Uefa Champions League | Inter Milan | 3 | 270 | 0 | 0 | 1684 |
| 2019/20 | Uefa Champions League | Inter Milan | 6 | 540 | 0 | 0 | 1690 |
| 2019/20 | Italy Cup | Inter Milan | 3 | 225 | 0 | 0 | — |
| 2019/20 | Uefa Europa League | Inter Milan | 1 | 6 | 0 | 0 | 1678 |
| 2018/19 | Uefa Champions League | Inter Milan | 6 | 540 | 0 | 0 | 1759 |
| 2018/19 | Uefa Europa League | Inter Milan | 3 | 257 | 0 | 0 | 1593 |
| 2018/19 | Italy Cup | Inter Milan | 2 | 210 | 0 | 0 | — |
| 2017/18 | Italy Cup | Inter Milan | 2 | 240 | 0 | 0 | — |
| 2015/16 | Uefa Europa League Qualifying | MSK Zilina | 8 | 750 | 0 | 1 | 1421 |
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 |
|---|---|---|---|---|
| Vitor Hugo Super Lig · 2022 | 31 | €6.0M | €1.5M | fell |
| Víctor Ruiz Super Lig · 2020 | 31 | €3.2M | €1.5M | fell |
| Vyacheslav Karavaev Premier Liga · 2024 | 29 | €5.0M | €2.0M | fell |
| Kenny Lala Super League 1 · 2022 | 31 | €3.0M | €3.0M | flat |
| Michael Ngadeu Jupiler Pro League · 2022 | 32 | €3.5M | €2.0M | fell |
| Fernando Varela Super League 1 · 2017 | 30 | €3.0M | €2.5M | flat |
| Artem Fedetskyi Premier Liga · 2015 | 30 | €4.5M | €750k | fell |
| Connor Goldson Scottish Premiership · 2024 | 32 | €5.0M | €5.0M | flat |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 30 Jul 2025 | PSG | Fenerbahçe | €6.0M | €15.0M |
| 30 Jun 2025 | Fenerbahçe | PSG | Free / loan | €15.0M |
| 30 Jan 2025 | PSG | Fenerbahçe | Free / loan | €15.0M |
| 6 Jul 2023 | Inter | PSG | Free / loan | €50.0M |
| 7 Jul 2017 | Sampdoria | Inter | €34.0M | €7.0M |
| 29 Jan 2016 | MSK Zilina | Sampdoria | €5.2M | €600k |
| 30 Jun 2013 | FC ViOn | MSK Zilina | Free / loan | €100k |
| 27 Feb 2013 | MSK Zilina | FC ViOn | Free / loan | €100k |
| 1 Jan 2012 | MSK Zilina U19 | MSK Zilina | Unknown | Data unavailable |
| 1 Jul 2010 | MSK Zilina Yth | MSK Zilina U19 | 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.