Ousseynou Niang
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Ousseynou Niang's performance-implied value at EUR 3.5M-9.4M, below the estimated acquisition range of EUR 3.9M-8.4M. Its 24-month market value projection is EUR 3.2M-8.2M. Context-adjusted goal contributions are 1.35x the positional average in the league (1370 minutes, league coefficient 0.65). Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.
Bargain Index: 45
What drives the score. Not a black box: each component and its level.
| Performance | Above average | 59.7th pct among MID peers (age-neutral) |
| Age | Neutral | 24.7 years |
| Acquisition cost | Neutral | est. €5.4M vs market €6.0M |
| Expected appreciation | Low | -14% over ~2 years (model) |
| Value gap | Negative | weak predictor on its own |
| Development | Moderate | |
| League translation | Moderate | league coefficient 0.65 |
| Tactical fit | Not evaluated | Requires event/role data not available from the current free source. |
| Risk | Low | |
| 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
- 1370 (51% of available)
- Goals + assists / 90
- 0.46
- Context-adjusted G+A / 90
- 0.30
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 60 (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
- 0.65 (rank 6)
- Team strength (Elo)
- 1570
- Opponent strength
- 1371
- 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)
- €3.2M – €8.2M
Trajectory drivers: relative output up 116% vs positional peers.
Historical comparables (8): median 2-year value change +0% (IQR -25% to +78%).
Risk profile
Overall: Low
- ⚠Limited sample: 1370 league minutes last 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
- 60 (MID)
- Relative output kept
- 63%–142%
- Held a regular role (900+ min)
- 72%
- 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 | Union Saint-Gilloise | Jupiler Pro League | LM | 20 | 1370 | 51% | 2 | 5 | 0.46 | 0.30 | 1371 | 1570 | 0.65 |
| 2024/25 | Union Saint-Gilloise | Jupiler Pro League | LM | 18 | 1065 | 39% | 2 | 0 | 0.17 | 0.14 | 1376 | 1545 | 0.63 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Uefa Champions League | Union Saint-Gilloise | 7 | 530 | 0 | 0 | 1647 |
| 2025/26 | Jupiler Pro League Playoff I | Union Saint-Gilloise | 7 | 240 | 0 | 0 | 1436 |
| 2025/26 | Volkswagen Supercup | Union Saint-Gilloise | 1 | 90 | 0 | 0 | 1552 |
| 2024/25 | Uefa Europa League | Union Saint-Gilloise | 10 | 903 | 0 | 2 | 1522 |
| 2024/25 | Uefa Conference League Qualifying | Riga FC | 2 | 172 | 1 | 0 | 1325 |
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 |
|---|---|---|---|---|
| Lukman Haruna Premier Liga · 2013 | 23 | €4.0M | €2.0M | fell |
| Rodrigo Zalazar Liga Portugal · 2024 | 25 | €12.0M | €30.0M | rose |
| Dorukhan Toköz Super Lig · 2019 | 23 | €5.5M | €4.7M | flat |
| Ryan Christie Scottish Premiership · 2020 | 25 | €4.8M | €9.0M | rose |
| Siebe Schrijvers Jupiler Pro League · 2020 | 24 | €4.0M | €2.0M | fell |
| Vitaliy Buyalskyi Premier Liga · 2017 | 24 | €2.0M | €3.5M | rose |
| Andreas Skov Olsen Jupiler Pro League · 2023 | 24 | €14.0M | €14.0M | flat |
| Sergiy Sydorchuk Premier Liga · 2017 | 26 | €4.5M | €4.5M | flat |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 4 Sept 2024 | Riga | Union SG | €1.5M | €350k |
| 16 Jan 2023 | Auda | Riga | Free / loan | €450k |
| 17 Mar 2022 | Diambars FC | Auda | 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.