Wilfried Singo
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Wilfried Singo's performance-implied value at EUR 3.6M-12.8M, below the estimated acquisition range of EUR 15.9M-28.6M. Its 24-month market value projection is EUR 9.2M-23.4M. Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.
Bargain Index: 16
What drives the score. Not a black box: each component and its level.
| Performance | Above average | 74.7th pct among DEF peers (age-neutral) |
| Age | Neutral | 25.5 years |
| Acquisition cost | Neutral | est. €21.6M vs market €23.0M |
| Expected appreciation | Very low | -31% over ~2 years (model) |
| Value gap | Very negative | weak predictor on its own |
| Development | Moderate | |
| League translation | Uncertain | league coefficient 0.4 |
| Tactical fit | Not evaluated | Requires event/role data not available from the current free source. |
| Risk | High | |
| 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
- 949 (31% of available)
- Goals + assists / 90
- 0.38
- Context-adjusted G+A / 90
- 0.13
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 75 (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
- 0.40 (rank 18)
- Team strength (Elo)
- 1501
- Opponent strength
- 1261
- Possession, role
- Data unavailable
League strength 1.00 = average club of the big-five leagues. Elo includes continental matches.
Potential
- Development
- Moderate
- Trajectory
- declining
- Breakout probability
- Age > 23
- Resale range (24m)
- €9.2M – €23.4M
Trajectory drivers: minutes share down 37 pts; changed club; team strength down (-70 Elo); league level down (-197 Elo); relative output up 39% vs positional peers.
Historical comparables (8): median 2-year value change -50% (IQR -64% to -15%).
Risk profile
Overall: High
- ⚠Limited sample: 949 league minutes last season.
- ⚠League level coefficient 0.40 (1.00 = big-five average): output may not translate.
- ⚠Played under 40% of available league minutes (injury data unavailable, cause unknown).
- ⚠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 | Galatasaray | Super Lig | CB | 19 | 949 | 31% | 2 | 2 | 0.38 | 0.13 | 1261 | 1501 | 0.40 |
| 2024/25 | AS Monaco | Ligue 1 | CB | 27 | 2093 | 68% | 1 | 2 | 0.13 | 0.09 | 1456 | 1571 | 0.88 |
| 2023/24 | AS Monaco | Ligue 1 | CB | 25 | 2187 | 71% | 1 | 1 | 0.08 | 0.07 | 1479 | 1573 | 0.87 |
| 2022/23 | Torino FC | Serie A | RM | 31 | 2055 | 60% | 2 | 2 | 0.18 | 0.22 | 1484 | 1468 | 0.94 |
| 2021/22 | Torino FC | Serie A | RM | 35 | 2621 | 77% | 3 | 4 | 0.24 | 0.28 | 1484 | 1423 | 0.89 |
| 2020/21 | Torino FC | Serie A | RM | 28 | 1851 | 54% | 1 | 3 | 0.19 | 0.25 | 1468 | 1373 | 0.90 |
| 2019/20 | Torino FC | Serie A | RM | 4 | 131 | 4% | 1 | 0 | 0.69 | 0.58 | 1538 | 1373 | 0.82 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Uefa Champions League | Galatasaray | 7 | 480 | 0 | 1 | 1655 |
| 2025/26 | World Cup | Ivory Coast | 2 | 172 | 0 | 1 | — |
| 2024/25 | Uefa Champions League | AS Monaco | 6 | 508 | 2 | 1 | 1623 |
| 2023/24 | Italy Cup | Torino FC | 1 | 1 | 0 | 0 | — |
| 2022/23 | Italy Cup | Torino FC | 4 | 328 | 0 | 1 | — |
| 2021/22 | Italy Cup | Torino FC | 1 | 83 | 0 | 0 | — |
| 2020/21 | Italy Cup | Torino FC | 2 | 177 | 0 | 0 | — |
| 2019/20 | Uefa Europa League Qualifying | Torino FC | 3 | 19 | 0 | 0 | 1352 |
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 |
|---|---|---|---|---|
| Borna Sosa Eredivisie · 2024 | 26 | €7.5M | €3.0M | fell |
| Diogo Gonçalves Liga Portugal · 2021 | 24 | €8.0M | €4.0M | fell |
| Bruno Viana Liga Portugal · 2021 | 26 | €7.0M | €1.8M | fell |
| Miguel Layún Liga Portugal · 2017 | 29 | €6.0M | €3.0M | fell |
| Youssouf Ndayishimiye Super Lig · 2023 | 25 | €12.0M | €12.0M | flat |
| Kieran Tierney Scottish Premiership · 2019 | 22 | €12.5M | €32.0M | rose |
| Sverrir Ingi Ingason Super League 1 · 2022 | 29 | €5.0M | €4.0M | fell |
| Ridgeciano Haps Eredivisie · 2021 | 28 | €4.5M | €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 |
|---|---|---|---|---|
| 28 Aug 2025 | Monaco | Galatasaray | €30.8M | €25.0M |
| 17 Aug 2023 | Torino | Monaco | €9.1M | €12.0M |
| 1 Jul 2019 | Torino U19 | Torino | Unknown | €125k |
| 30 Jan 2019 | AS Denguélé | Torino U19 | €200k | 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.