Ken Nkuba
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Ken Nkuba's performance-implied value at EUR 1.1M-2.8M, above the estimated acquisition range of EUR 0.6M-1.8M. 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.
Bargain Index: not assigned
What drives the score. Not a black box: each component and its level.
Insufficient sample (< 900 league minutes)
| Performance | Average | 39.4th pct among DEF peers (age-neutral) |
| Age | Neutral | 24.4 years |
| Acquisition cost | Favorable | est. €1.1M vs market €1.5M |
| Expected appreciation | Low | -10% over ~2 years (model) |
| Value gap | Small | 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 | 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
- 508 (19% of available)
- Goals + assists / 90
- 0.18
- Context-adjusted G+A / 90
- 0.09
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 39 (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)
- 1471
- Opponent strength
- 1328
- Possession, role
- Data unavailable
League strength 1.00 = average club of the big-five leagues. Elo includes continental matches.
Potential
- Development
- Low
- Trajectory
- declining
- Breakout probability
- Age > 23
- Resale range (24m)
- €625k – €2.7M
Trajectory drivers: team strength down (-64 Elo); relative output down 35% vs positional peers.
Historical comparables (8): median 2-year value change +41% (IQR +17% to +127%).
Risk profile
Overall: Very High
- ▲Small sample: 508 league minutes last season.
- ▲Projection range among the widest 10% of evaluated players.
- ⚠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
- 76 (DEF)
- Relative output kept
- 67%–160%
- Held a regular role (900+ min)
- 76%
- 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 | KRC Genk | Jupiler Pro League | RB | 11 | 508 | 19% | 1 | 0 | 0.18 | 0.09 | 1328 | 1471 | 0.65 |
| 2024/25 | KRC Genk | Jupiler Pro League | RB | 16 | 456 | 17% | 0 | 1 | 0.20 | 0.13 | 1391 | 1535 | 0.63 |
| 2023/24 | Royal Charleroi Sporting Club | Jupiler Pro League | RW | 4 | 156 | 6% | 0 | 0 | 0.00 | 0.51 | 1495 | 1268 | 0.63 |
| 2023/24 | KRC Genk | Jupiler Pro League | RW | 4 | 40 | 1% | 0 | 0 | 0.00 | 0.39 | 1480 | 1459 | 0.63 |
| 2022/23 | Royal Charleroi Sporting Club | Jupiler Pro League | RM | 28 | 2098 | 69% | 4 | 5 | 0.39 | 0.38 | 1318 | 1348 | 0.58 |
| 2021/22 | Royal Charleroi Sporting Club | Jupiler Pro League | RW | 8 | 288 | 9% | 0 | 0 | 0.00 | 0.26 | 1320 | 1331 | 0.49 |
| 2020/21 | Royal Charleroi Sporting Club | Jupiler Pro League | RW | 11 | 87 | 3% | 0 | 0 | 0.00 | 0.25 | 1289 | 1319 | 0.55 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Uefa Europa League | KRC Genk | 5 | 246 | 0 | 0 | 1521 |
| 2025/26 | Uefa Europa League Qualifying | KRC Genk | 1 | 90 | 0 | 0 | 1409 |
| 2025/26 | Jupiler Pro League Europe Play Offs | KRC Genk | 3 | 16 | 0 | 0 | 1329 |
| 2020/21 | Uefa Europa League Qualifying | Royal Charleroi Sporting Club | 1 | 11 | 0 | 0 | 1521 |
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 |
|---|---|---|---|---|
| Merveille Bokadi Jupiler Pro League · 2020 | 24 | €1.2M | €3.0M | rose |
| Alfons Sampsted Eredivisie · 2023 | 25 | €1.5M | €2.0M | rose |
| Douglas Premier Liga · 2013 | 23 | €2.5M | €5.5M | rose |
| Kelvin Leerdam Eredivisie · 2013 | 23 | €1.0M | €1.5M | rose |
| Ricardo Esgaio Liga Portugal · 2017 | 24 | €1.5M | €4.0M | rose |
| Dmitriy Efremov Premier Liga · 2019 | 24 | €1.0M | €500k | fell |
| Bart Nieuwkoop Eredivisie · 2018 | 22 | €1.3M | €1.2M | flat |
| Bojan Nastic Jupiler Pro League · 2017 | 23 | €800k | €1.0M | rose |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 30 Jan 2024 | R Charleroi SC | Genk | €3.8M | €3.5M |
| 1 Jul 2019 | Charleroi U21 | R Charleroi SC | Unknown | Data unavailable |
| 1 Jul 2018 | Charleroi Youth | Charleroi U21 | Unknown | Data unavailable |
| 1 Jul 2017 | Mouscron Yth. | Charleroi Youth | Free / loan | Data unavailable |
| 1 Jul 2015 | RAEC Mons Youth | Mouscron Yth. | 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.