Player report
Idris Okafor
FWD · Jarrowgate · Demo Premier League · 18 years · Nigeria
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 threat57
- Chance creation77
- Finishing84
- Defending52
- Availability82
Per 90, percentile ranked
- Goals0.22
- Assists0.22
- Shots3.0
- Shots on target0.9
- Key passes1.6
- Expected goals0.17
- Expected assists0.19
- Tackles0.5
- Interceptions0.3
- Clearances0.5
Strong finishing forward (84th percentile), with strong chance creation (77th). Played 74% of available minutes.
Season
Key strengths
- Finishing is a clear strength84th percentile among FWDs in this division
Key risks and limitations
- No statistical red flags in the data we holdThis is not the same as no risk: we hold no contract, injury, wage or transfer data, and nobody has watched the player.
Valuation history
Comparable players
| Player | Similarity | Value | Age |
|---|---|---|---|
| Adam XimenesBrackenford | 88% | €42.2m | 25 |
| Adam ZielinskiEastmarsh | 87% | €24.1m | 31 |
| Omar UgartePendlebury | 85% | €20.7m | 25 |
| Zeki XimenesGranthorpe | 83% | €14.2m | 24 |
| Bertrand PereiraOakhurst | 82% | €5.67m | 31 |
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
- 64%of 72% ceiling
- Sample
- 1607 min · 19 apps
- Last fixture
- 16 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.