
Tanguy Nianzou
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Tanguy Nianzou's performance-implied value at EUR 1.3M-3.5M, above the estimated acquisition range of EUR 0.5M-1.5M. Its 24-month market value projection is EUR 0.6M-2.7M. Confidence is low: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.
Acquisition note: Final year of contract: selling club's leverage is reduced.
Bargain Index: not assigned
What drives the score. Not a black box: each component and its level.
Insufficient sample (< 900 league minutes)
| Performance | Average | 42.9th pct among DEF peers (age-neutral) |
| Age | Neutral | 24.1 years |
| Acquisition cost | Very favorable | est. €689k vs market €1.2M |
| Expected appreciation | Neutral | +8% over ~2 years (model) |
| Value gap | Very large | weak predictor on its own |
| Development | Moderate | |
| League translation | Big-five league | league coefficient 0.95 |
| Tactical fit | Not evaluated | Requires event/role data not available from the current free source. |
| Risk | Very 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
- 646 (19% of available)
- Goals + assists / 90
- 0.00
- Context-adjusted G+A / 90
- 0.06
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 43 (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
- 0.95 (rank 2)
- Team strength (Elo)
- 1397
- Opponent strength
- 1481
- Possession, role
- Data unavailable
League strength 1.00 = average club of the big-five leagues. Elo includes continental matches.
Potential
- Development
- Moderate
- Trajectory
- improving
- Breakout probability
- Age > 23
- Resale range (24m)
- €616k – €2.7M
Historical comparables (8): median 2-year value change -38% (IQR -47% to -13%).
Risk profile
Overall: Very High
- ▲Small sample: 646 league minutes last season.
- ▲Projection range among the widest 10% of evaluated players.
- ⚠Contract ends in 12 months: cheaper, but competition and wage demands likely.
- ⚠Played under 40% of available league minutes (injury data unavailable, cause unknown).
- ⓘ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 | Sevilla FC | Laliga | CB | 12 | 646 | 19% | 0 | 0 | 0.00 | 0.06 | 1481 | 1397 | 0.95 |
| 2024/25 | Sevilla FC | Laliga | CB | 6 | 520 | 15% | 0 | 0 | 0.00 | 0.04 | 1454 | 1410 | 0.95 |
| 2023/24 | Sevilla FC | Laliga | CB | 8 | 315 | 9% | 0 | 0 | 0.00 | 0.07 | 1554 | 1475 | 1.00 |
| 2022/23 | Sevilla FC | Laliga | CB | 19 | 1370 | 40% | 1 | 0 | 0.07 | 0.06 | 1500 | 1583 | 0.98 |
| 2021/22 | Bayern Munich | Bundesliga | CB | 17 | 573 | 19% | 1 | 1 | 0.31 | 0.06 | 1463 | 1847 | 1.05 |
| 2020/21 | Bayern Munich | Bundesliga | CB | 6 | 115 | 4% | 0 | 0 | 0.00 | 0.03 | 1492 | 1898 | 1.06 |
| 2019/20 | Paris Saint-Germain | Ligue 1 | CB | 6 | 452 | 19% | 2 | 0 | 0.40 | 0.10 | 1415 | 1779 | 0.82 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2023/24 | Copa Del Rey | Sevilla FC | 4 | 264 | 0 | 0 | — |
| 2023/24 | Uefa Champions League | Sevilla FC | 2 | 31 | 0 | 0 | 1738 |
| 2022/23 | Copa Del Rey | Sevilla FC | 5 | 368 | 1 | 0 | — |
| 2022/23 | Uefa Europa League | Sevilla FC | 4 | 343 | 0 | 0 | 1603 |
| 2022/23 | Uefa Champions League | Sevilla FC | 2 | 180 | 1 | 0 | 1755 |
| 2021/22 | Uefa Champions League | Bayern Munich | 4 | 212 | 0 | 0 | 1612 |
| 2021/22 | Dfb Pokal | Bayern Munich | 1 | 90 | 0 | 0 | — |
| 2019/20 | Uefa Champions League | Paris Saint-Germain | 2 | 76 | 0 | 0 | 1480 |
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 |
|---|---|---|---|---|
| Igor Bubnjic Serie A · 2016 | 24 | €900k | €400k | fell |
| Luca Bittante Serie A · 2016 | 23 | €1.1M | €600k | fell |
| Emanuele Suagher Serie A · 2016 | 24 | €800k | €400k | fell |
| Cristian Dell'Orco Serie A · 2017 | 23 | €1.0M | €1.0M | flat |
| Jorge Meré Laliga · 2023 | 26 | €1.2M | €1.0M | flat |
| Momo Mbaye Laliga · 2023 | 25 | €700k | €400k | fell |
| Santiago Arzamendia Laliga · 2023 | 25 | €1.2M | €1.8M | rose |
| Anthony Lippini Ligue 1 · 2013 | 25 | €600k | €400k | fell |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 17 Aug 2022 | Bayern Munich | Sevilla FC | €16.0M | €9.0M |
| 1 Jul 2020 | PSG | Bayern Munich | Free / loan | €11.0M |
| 1 Jul 2019 | Paris SG U19 | PSG | Unknown | Data unavailable |
| 1 Jul 2018 | Paris SG U17 | Paris SG U19 | Unknown | Data unavailable |
| 1 Jul 2017 | PSG Youth | Paris SG U17 | Unknown | Data unavailable |
| 1 Nov 2016 | RCPF Jugend | PSG Youth | Free / loan | Data unavailable |
| 1 Feb 2013 | US Sénart Jgd | RCPF Jugend | Free / loan | 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.