Player report
Jonas Okafor
FWD · Oakhurst · Demo Premier League · 23 years · Senegal
Valuation
Values are model estimates on an uncalibrated scale. They are not predictions of a transfer fee and have not been validated against observed fees. Model 0.3.0-uncalibrated.
Performance profile
Player DNA
- Goal threat98
- Chance creation68
- Finishing22
- Defending11
- Availability76
Per 90, percentile ranked
- Goals0.64
- Assists0.23
- Shots2.9
- Shots on target1.2
- Key passes1.5
- Expected goals0.68
- Expected assists0.19
- Tackles0.0
- Interceptions0.0
- Clearances0.1
Elite goal threat forward (98th percentile), with above average chance creation (68th). Defending is the clear gap at the 11th percentile. Played 71% of available minutes.
Season
Key strengths
- Goal threat is a clear strength98th percentile among FWDs in this division
- Elite volume of expected goals0.68 per 90, 98th percentile
Key risks and limitations
- Defending is a clear weakness11th percentile among FWDs in this division
Valuation history
Comparable players
| Player | Similarity | Value | Age |
|---|---|---|---|
| Rafael HalvorsenStanmoor | 87% | €10.0m | 31 |
| Adam DelgadoQuarrydale | 84% | €53.0m | 22 |
| Omar ToureenKelsford | 82% | €39.8m | 26 |
| Goran ArdalBrackenford | 80% | €59.4m | 20 |
| Cillian VasquezOakhurst | 80% | €1.47m | 26 |
Comparable transfers
Not available. The feed carries no observed transfer fees and no contract expiry dates, so there is nothing to build a comparable-fee distribution from.
This section is left in rather than removed, because its absence is itself a finding: any fee inference in this report would be unsupported.
Data confidence
- Model confidence
- 55%of 72% ceiling
- Sample
- 1535 min · 20 apps
- Last fixture
- 23 Jan
Percentiles are taken against FWDs in the Demo Premier League with 270 or more minutes. The model holds no contract, injury, wage or transfer data, and no progressive passing, carrying or pressing metrics.
Methodology
Weekly output is weighted by position, discounted by minutes as a credibility multiplier, and compared against an exponentially weighted average of the player’s own previous weeks — so the model moves on surprise rather than output. That becomes a percentile within the position group, then adjusted for age, league strength, position and availability.
An estimated value is not a transfer fee. Full methodology.