
Matteo Politano
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Matteo Politano's performance-implied value at EUR 4.3M-8.2M, above the estimated acquisition range of EUR 2.0M-5.1M. Its 24-month market value projection is EUR 1.5M-2.9M. Context-adjusted goal contributions are 1.00x the positional average in the league (2214 minutes, league coefficient 0.93). Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.
Bargain Index: 2
What drives the score. Not a black box: each component and its level.
| Performance | High | 89.7th pct among MID peers (age-neutral) |
| Age | Unfavorable | 32.9 years |
| Acquisition cost | Favorable | est. €3.4M vs market €5.0M |
| Expected appreciation | Very low | -65% over ~2 years (model) |
| Value gap | Very large | weak predictor on its own |
| Development | Low | |
| League translation | Big-five league | league coefficient 0.93 |
| 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 1163 evaluated MID players with 900+ minutes.
Performance (last season, league)
- Minutes
- 2214 (65% of available)
- Goals + assists / 90
- 0.28
- Context-adjusted G+A / 90
- 0.22
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 90 (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
- 0.93 (rank 4)
- Team strength (Elo)
- 1618
- Opponent strength
- 1481
- Possession, role
- Data unavailable
League strength 1.00 = average club of the big-five leagues. Elo includes continental matches.
Potential
- Development
- Low
- Trajectory
- stable
- Breakout probability
- Age > 23
- Resale range (24m)
- €1.5M – €2.9M
Trajectory drivers: minutes share down 18 pts; role change RW -> RM; relative output up 72% vs positional peers.
Historical comparables (8): median 2-year value change -56% (IQR -68% to -46%).
Risk profile
Overall: Moderate
- ▲Age 33: resale value typically declines.
- ⓘ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 | SSC Napoli | Serie A | RM | 34 | 2214 | 65% | 2 | 5 | 0.28 | 0.22 | 1481 | 1618 | 0.93 |
| 2024/25 | SSC Napoli | Serie A | RW | 37 | 2832 | 83% | 3 | 5 | 0.25 | 0.25 | 1492 | 1660 | 0.99 |
| 2023/24 | SSC Napoli | Serie A | RW | 37 | 2385 | 70% | 8 | 8 | 0.60 | 0.38 | 1482 | 1569 | 0.98 |
| 2022/23 | SSC Napoli | Serie A | RW | 27 | 1165 | 34% | 3 | 3 | 0.46 | 0.26 | 1449 | 1739 | 0.94 |
| 2021/22 | SSC Napoli | Serie A | RW | 33 | 1655 | 48% | 3 | 4 | 0.38 | 0.24 | 1448 | 1645 | 0.89 |
| 2020/21 | SSC Napoli | Serie A | RW | 37 | 1911 | 56% | 9 | 5 | 0.66 | 0.40 | 1473 | 1643 | 0.90 |
| 2019/20 | SSC Napoli | Serie A | RW | 15 | 746 | 22% | 2 | 2 | 0.48 | 0.30 | 1397 | 1588 | 0.82 |
| 2019/20 | Inter Milan | Serie A | SS | 11 | 253 | 7% | 0 | 0 | 0.00 | 0.29 | 1415 | 1657 | 0.82 |
| 2018/19 | Inter Milan | Serie A | RW | 36 | 2564 | 75% | 5 | 5 | 0.35 | 0.35 | 1449 | 1565 | 0.78 |
| 2017/18 | US Sassuolo | Serie A | LW | 36 | 2830 | 83% | 10 | 4 | 0.45 | 0.60 | 1473 | 1377 | 0.86 |
| 2016/17 | US Sassuolo | Serie A | LW | 32 | 2318 | 68% | 5 | 6 | 0.43 | 0.38 | 1481 | 1435 | 0.88 |
| 2015/16 | US Sassuolo | Serie A | RW | 28 | 1039 | 30% | 5 | 2 | 0.61 | 0.61 | 1499 | 1514 | 0.95 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Uefa Champions League | SSC Napoli | 6 | 333 | 0 | 0 | 1618 |
| 2025/26 | Supercoppa Italiana | SSC Napoli | 2 | 168 | 0 | 1 | 1633 |
| 2025/26 | Italy Cup | SSC Napoli | 2 | 120 | 0 | 0 | — |
| 2024/25 | Italy Cup | SSC Napoli | 2 | 104 | 0 | 0 | — |
| 2023/24 | Uefa Champions League | SSC Napoli | 8 | 582 | 1 | 2 | 1623 |
| 2023/24 | Supercoppa Italiana | SSC Napoli | 2 | 142 | 0 | 0 | 1693 |
| 2023/24 | Italy Cup | SSC Napoli | 1 | 17 | 0 | 0 | — |
| 2022/23 | Uefa Champions League | SSC Napoli | 9 | 407 | 1 | 1 | 1681 |
| 2022/23 | Italy Cup | SSC Napoli | 1 | 55 | 0 | 0 | — |
| 2021/22 | Uefa Europa League | SSC Napoli | 5 | 188 | 2 | 3 | 1509 |
| 2021/22 | Italy Cup | SSC Napoli | 1 | 64 | 0 | 0 | — |
| 2020/21 | Uefa Europa League | SSC Napoli | 7 | 410 | 2 | 0 | 1537 |
| 2020/21 | Italy Cup | SSC Napoli | 4 | 260 | 1 | 0 | — |
| 2020/21 | Supercoppa Italiana | SSC Napoli | 1 | 6 | 0 | 0 | 1687 |
| 2019/20 | Italy Cup | SSC Napoli | 3 | 101 | 0 | 0 | — |
| 2019/20 | Uefa Champions League | Inter Milan | 4 | 62 | 0 | 0 | 1703 |
| 2019/20 | Uefa Champions League | SSC Napoli | 2 | 36 | 0 | 0 | 1806 |
| 2018/19 | Uefa Champions League | Inter Milan | 6 | 454 | 0 | 1 | 1749 |
| 2018/19 | Uefa Europa League | Inter Milan | 4 | 272 | 1 | 0 | 1583 |
| 2018/19 | Italy Cup | Inter Milan | 2 | 151 | 0 | 0 | — |
| 2017/18 | Italy Cup | US Sassuolo | 3 | 180 | 1 | 0 | — |
| 2016/17 | Uefa Europa League | US Sassuolo | 5 | 305 | 2 | 1 | 1493 |
| 2016/17 | Uefa Europa League Qualifying | US Sassuolo | 4 | 181 | 1 | 1 | 1380 |
| 2016/17 | Italy Cup | US Sassuolo | 1 | 76 | 0 | 0 | — |
| 2015/16 | Italy Cup | US Sassuolo | 1 | 33 | 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 |
|---|---|---|---|---|
| Daniele De Rossi Serie A · 2015 | 32 | €7.5M | €5.0M | fell |
| Marco Parolo Serie A · 2018 | 33 | €5.0M | €1.6M | fell |
| Henrikh Mkhitaryan Serie A · 2022 | 33 | €8.0M | €6.0M | fell |
| Senad Lulic Serie A · 2018 | 32 | €6.5M | €2.8M | fell |
| Roman Shirokov Premier Liga · 2013 | 32 | €5.0M | €2.5M | fell |
| Albert Riera Super Lig · 2013 | 31 | €5.0M | €500k | fell |
| Marten de Roon Serie A · 2024 | 33 | €7.0M | €3.2M | fell |
| Ashley Young Serie A · 2020 | 35 | €3.2M | €1.0M | 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 2021 | Inter | Napoli | €22.1M | €30.0M |
| 30 Jun 2021 | Napoli | Inter | Free / loan | €30.0M |
| 28 Jan 2020 | Inter | Napoli | Free / loan | €28.0M |
| 1 Jul 2019 | Sassuolo | Inter | €21.1M | €30.0M |
| 30 Jun 2019 | Inter | Sassuolo | Free / loan | €30.0M |
| 1 Jul 2018 | Sassuolo | Inter | Free / loan | €22.0M |
| 1 Jul 2016 | Roma | Sassuolo | €8.1M | €2.5M |
| 30 Jun 2016 | Sassuolo | Roma | Free / loan | €2.5M |
| 2 Jul 2015 | Roma | Sassuolo | Free / loan | €2.0M |
| 1 Jul 2015 | Pescara | Roma | €600k | €2.0M |
| 1 Jul 2013 | Roma | Pescara | €500k | €750k |
| 30 Jun 2013 | Perugia | Roma | Free / loan | €750k |
| 17 Jul 2012 | Roma U19 | Perugia | Free / loan | €150k |
| 1 Jul 2010 | Roma U17 | Roma U19 | Unknown | Data unavailable |
| 1 Jul 2008 | AS Rom Youth | Roma U17 | 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.