Dante
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Dante's performance-implied value at EUR 0.2M-0.7M, above the estimated acquisition range of EUR 0.1M-0.7M. Its 24-month market value projection is EUR 0.3M-0.5M. Confidence is low: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.
Acquisition note: Contract end date unavailable: range widened by 15% each side.
Bargain Index: not assigned
What drives the score. Not a black box: each component and its level.
Insufficient sample (< 900 league minutes)
| Performance | Above average | 67.2th pct among DEF peers (age-neutral) |
| Age | Unfavorable | 42.7 years |
| Acquisition cost | Favorable | est. €326k vs market €500k |
| Expected appreciation | Low | -15% over ~2 years (model) |
| Value gap | Small | 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 | Low |
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 1269 evaluated DEF players with 900+ minutes.
Performance (last season, league)
- Minutes
- 852 (28% of available)
- Goals + assists / 90
- 0.11
- Context-adjusted G+A / 90
- 0.11
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 67 (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)
- 1358
- Opponent strength
- 1479
- 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)
- €304k – €544k
Trajectory drivers: minutes share down 36 pts; team strength down (-164 Elo); relative output up 390% vs positional peers.
Historical comparables (8): median 2-year value change +0% (IQR +0% to +0%).
Risk profile
Overall: High
- ▲Small sample: 852 league minutes last season.
- ▲Age 43: resale value typically declines.
- ⚠Played under 40% of available league minutes (injury data unavailable, cause unknown).
- ⓘContract end date unavailable (or stale in source).
- ⓘ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 | OGC Nice | Ligue 1 | CB | 12 | 852 | 28% | 0 | 1 | 0.11 | 0.11 | 1479 | 1358 | 0.88 |
| 2024/25 | OGC Nice | Ligue 1 | CB | 25 | 1967 | 64% | 0 | 0 | 0.00 | 0.02 | 1447 | 1521 | 0.88 |
| 2023/24 | OGC Nice | Ligue 1 | CB | 32 | 2844 | 93% | 1 | 1 | 0.06 | 0.06 | 1467 | 1511 | 0.87 |
| 2022/23 | OGC Nice | Ligue 1 | CB | 37 | 3300 | 96% | 1 | 2 | 0.08 | 0.07 | 1445 | 1519 | 0.82 |
| 2021/22 | OGC Nice | Ligue 1 | CB | 34 | 2873 | 84% | 0 | 1 | 0.03 | 0.04 | 1424 | 1493 | 0.86 |
| 2020/21 | OGC Nice | Ligue 1 | CB | 9 | 775 | 23% | 2 | 1 | 0.35 | 0.18 | 1462 | 1398 | 0.75 |
| 2019/20 | OGC Nice | Ligue 1 | CB | 21 | 1890 | 75% | 1 | 0 | 0.05 | 0.06 | 1432 | 1456 | 0.82 |
| 2018/19 | OGC Nice | Ligue 1 | CB | 36 | 3227 | 94% | 1 | 1 | 0.06 | 0.06 | 1451 | 1453 | 0.82 |
| 2017/18 | OGC Nice | Ligue 1 | CB | 33 | 2920 | 85% | 1 | 0 | 0.03 | 0.04 | 1442 | 1489 | 0.85 |
| 2016/17 | OGC Nice | Ligue 1 | CB | 33 | 2970 | 87% | 0 | 3 | 0.09 | 0.07 | 1424 | 1568 | 0.88 |
| 2015/16 | VfL Wolfsburg | Bundesliga | CB | 23 | 2065 | 67% | 1 | 0 | 0.04 | 0.03 | 1499 | 1575 | 1.02 |
| 2015/16 | Bayern Munich | Bundesliga | CB | 1 | 17 | 1% | 0 | 0 | 0.00 | 0.05 | 1670 | 1853 | 1.02 |
| 2014/15 | Bayern Munich | Bundesliga | CB | 27 | 1996 | 65% | 0 | 0 | 0.00 | 0.01 | 1502 | 1793 | 1.03 |
| 2013/14 | Bayern Munich | Bundesliga | CB | 29 | 2416 | 79% | 2 | 1 | 0.11 | 0.04 | 1533 | 1854 | 1.03 |
| 2012/13 | Bayern Munich | Bundesliga | CB | 29 | 2610 | 85% | 1 | 2 | 0.10 | 0.06 | 1436 | 1894 | 1.11 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Uefa Europa League | OGC Nice | 3 | 183 | 0 | 0 | 1589 |
| 2025/26 | Uefa Champions League Qualifying | OGC Nice | 1 | 45 | 0 | 0 | 1631 |
| 2024/25 | Uefa Europa League | OGC Nice | 3 | 245 | 0 | 0 | 1539 |
| 2022/23 | Uefa Conference League Qualifying | OGC Nice | 2 | 210 | 0 | 0 | 1517 |
| 2020/21 | Uefa Europa League | OGC Nice | 2 | 180 | 0 | 0 | 1554 |
| 2017/18 | Uefa Europa League | OGC Nice | 8 | 720 | 1 | 1 | 1482 |
| 2017/18 | Uefa Champions League Qualifying | OGC Nice | 4 | 360 | 0 | 0 | 1676 |
| 2016/17 | Uefa Europa League | OGC Nice | 5 | 450 | 0 | 0 | 1548 |
| 2015/16 | Uefa Champions League | VfL Wolfsburg | 9 | 810 | 0 | 0 | 1676 |
| 2015/16 | Dfb Pokal | VfL Wolfsburg | 1 | 90 | 0 | 0 | — |
| 2015/16 | Dfb Pokal | Bayern Munich | 1 | 16 | 0 | 0 | — |
| 2014/15 | Dfb Pokal | Bayern Munich | 4 | 390 | 0 | 0 | — |
| 2014/15 | Uefa Champions League | Bayern Munich | 7 | 364 | 0 | 0 | 1662 |
| 2014/15 | Franz Beckenbauer Supercup | Bayern Munich | 1 | 59 | 0 | 0 | 1751 |
| 2013/14 | Uefa Champions League | Bayern Munich | 9 | 810 | 0 | 2 | 1711 |
| 2013/14 | Dfb Pokal | Bayern Munich | 6 | 548 | 1 | 1 | — |
| 2013/14 | Uefa Super Cup | Bayern Munich | 1 | 120 | 0 | 1 | 1701 |
| 2013/14 | Franz Beckenbauer Supercup | Bayern Munich | 1 | 4 | 0 | 0 | 1737 |
| 2012/13 | Uefa Champions League | Bayern Munich | 12 | 1027 | 0 | 1 | 1581 |
| 2012/13 | Dfb Pokal | Bayern Munich | 3 | 270 | 0 | 0 | — |
| 2012/13 | Franz Beckenbauer Supercup | Bayern Munich | 1 | 90 | 0 | 0 | 1475 |
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 |
|---|---|---|---|---|
| Massimo Gobbi Serie A · 2019 | 39 | €300k | €300k | flat |
| Nicola Legrottaglie Serie A · 2014 | 38 | €300k | €300k | flat |
| Cédric Varrault Ligue 1 · 2018 | 38 | €250k | €250k | flat |
| Giuseppe Biava Serie A · 2015 | 38 | €300k | €300k | flat |
| Bruno Alves Serie A · 2021 | 40 | €400k | €100k | fell |
| Sébastien Squillaci Ligue 1 · 2017 | 37 | €250k | €250k | flat |
| Dario Dainelli Serie A · 2016 | 37 | €300k | €300k | flat |
| Damián Suárez Laliga · 2024 | 36 | €650k | €650k | flat |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 1 Jul 2026 | Nice | Retired | Unknown | €500k |
| 23 Aug 2016 | Wolfsburg | Nice | €2.5M | €2.0M |
| 30 Aug 2015 | Bayern Munich | Wolfsburg | €4.5M | €6.0M |
| 1 Jul 2012 | Mönchengladbach | Bayern Munich | €4.7M | €8.0M |
| 1 Jan 2009 | Standard Liège | Mönchengladbach | €2.5M | €2.5M |
| 1 Jan 2007 | R Charleroi SC | Standard Liège | €600k | €800k |
| 1 Jul 2006 | Lille | R Charleroi SC | €100k | €250k |
| 30 Jun 2006 | R Charleroi SC | Lille | Free / loan | €250k |
| 23 Jan 2006 | Lille | R Charleroi SC | Free / loan | €250k |
| 31 Jan 2004 | Juventude | Lille | Unknown | Data unavailable |
| 1 Jan 2002 | Capivariano | Juventude | 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.