
Wilfried Kanga
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Wilfried Kanga's performance-implied value at EUR 1.6M-5.5M, above the estimated acquisition range of EUR 1.4M-3.6M. Its 24-month market value projection is EUR 1.2M-3.8M. Context-adjusted goal contributions are 1.15x the positional average in the league (2025 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: 58
What drives the score. Not a black box: each component and its level.
| Performance | Above average | 59.6th pct among ATT peers (age-neutral) |
| Age | Unfavorable | 28.4 years |
| Acquisition cost | Favorable | est. €2.3M vs market €3.0M |
| Expected appreciation | Low | -19% over ~2 years (model) |
| Value gap | Large | weak predictor on its own |
| Development | Low | |
| 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 900 evaluated ATT players with 900+ minutes.
Performance (last season, league)
- Minutes
- 2025 (75% of available)
- Goals + assists / 90
- 0.62
- Context-adjusted G+A / 90
- 0.59
- 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)
- 1403
- Opponent strength
- 1370
- Possession, role
- Data unavailable
League strength 1.00 = average club of the big-five leagues. Elo includes continental matches.
Potential
- Development
- Low
- Trajectory
- insufficient
- Breakout probability
- Age > 23
- Resale range (24m)
- €1.2M – €3.8M
Historical comparables (8): median 2-year value change -6% (IQR -32% to +14%).
Risk profile
Overall: Low
- ⚠No continental-competition 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
- 78 (ATT)
- Relative output kept
- 72%–126%
- Held a regular role (900+ min)
- 60%
- 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 | KAA Gent | Jupiler Pro League | ST | 25 | 2025 | 75% | 10 | 4 | 0.62 | 0.59 | 1370 | 1403 | 0.65 |
| 2023/24 | Standard Liège | Jupiler Pro League | ST | 27 | 2321 | 86% | 9 | 3 | 0.47 | 0.54 | 1377 | 1334 | 0.63 |
| 2022/23 | Hertha BSC | Bundesliga | ST | 23 | 1421 | 46% | 2 | 0 | 0.13 | 0.37 | 1528 | 1354 | 1.04 |
| 2020/21 | Kayserispor | Super Lig | ST | 14 | 915 | 25% | 2 | 0 | 0.20 | 0.48 | 1282 | 1169 | 0.37 |
| 2020/21 | Angers SCO | Ligue 1 | ST | 2 | 134 | 4% | 0 | 0 | 0.00 | 0.43 | 1389 | 1326 | 0.75 |
| 2019/20 | Angers SCO | Ligue 1 | ST | 4 | 65 | 3% | 0 | 0 | 0.00 | 0.60 | 1521 | 1415 | 0.82 |
| 2018/19 | Angers SCO | Ligue 1 | ST | 18 | 481 | 14% | 2 | 0 | 0.37 | 0.57 | 1468 | 1409 | 0.82 |
| 2017/18 | Angers SCO | Ligue 1 | ST | 9 | 170 | 5% | 0 | 0 | 0.00 | 0.62 | 1557 | 1381 | 0.85 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Jupiler Pro League Playoff I | KAA Gent | 10 | 726 | 2 | 0 | 1491 |
| 2022/23 | Uefa Conference League Qualifying | BSC Young Boys | 1 | 28 | 0 | 0 | 1322 |
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 |
|---|---|---|---|---|
| Davidson Liga Portugal · 2019 | 28 | €3.0M | €4.0M | rose |
| Sly Premier Liga · 2018 | 28 | €2.4M | €3.5M | rose |
| Ryan Babel Super Lig · 2015 | 29 | €5.0M | €5.0M | flat |
| Mustapha Yatabaré Ligue 1 · 2014 | 28 | €2.3M | €2.0M | flat |
| Préjuce Nakoulma Super Lig · 2015 | 28 | €2.3M | €2.5M | flat |
| Bruno Moreira Liga Portugal · 2016 | 29 | €2.8M | €700k | fell |
| Miguel Rosa Liga Portugal · 2015 | 26 | €3.5M | €1.3M | fell |
| Ömer Ali Şahiner Super Lig · 2019 | 27 | €2.0M | €1.7M | 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 2025 | Dinamo Zagreb | KAA Gent | €1.2M | €2.5M |
| 20 Jan 2025 | Hertha BSC | Dinamo Zagreb | €1.7M | €3.5M |
| 19 Jan 2025 | Cardiff | Hertha BSC | Free / loan | €3.5M |
| 30 Jul 2024 | Hertha BSC | Cardiff | Free / loan | €4.0M |
| 30 Jun 2024 | Standard Liège | Hertha BSC | Free / loan | €4.0M |
| 7 Aug 2023 | Hertha BSC | Standard Liège | Free / loan | €3.0M |
| 30 Jul 2022 | Young Boys | Hertha BSC | €5.0M | €2.2M |
| 8 Jul 2021 | Kayserispor | Young Boys | Free / loan | €400k |
| 15 Sept 2020 | Angers SCO | Kayserispor | Unknown | €900k |
| 4 Jul 2017 | Paris SG U19 | Angers SCO | Free / loan | €200k |
| 30 Jun 2017 | US Créteil-L | Paris SG U19 | Free / loan | €200k |
| 13 Jul 2016 | Paris SG U19 | US Créteil-L | Free / loan | Data unavailable |
| 1 Jul 2015 | Paris SG U17 | Paris SG U19 | Unknown | Data unavailable |
| 1 Jul 2013 | PSG Youth | Paris SG 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.