Player report
Lucas Okafor
MID · Brackenford · Demo Premier League · 21 years · Portugal
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 threat83
- Chance creation28
- Finishing92
- Defending32
- Availability45
Per 90, percentile ranked
- Goals0.22
- Assists0.00
- Shots2.1
- Shots on target0.7
- Key passes0.8
- Expected goals0.16
- Expected assists0.03
- Tackles1.1
- Interceptions0.9
- Clearances1.6
Elite finishing midfielder (92th percentile), with strong goal threat (83th). Chance creation is the clear gap at the 28th percentile. Availability is the headline risk: 37% of available minutes played.
Season
Key strengths
- Finishing is a clear strength92th percentile among MIDs in this division
- Goal threat is a clear strength83th percentile among MIDs in this division
- Elite volume of shots on target0.67 per 90, 92th percentile
Key risks and limitations
- Availability is the headline risk37% of available minutes; 10 matchweeks missed
- Small sample805 minutes across 14 appearances. Percentiles are published but thinly evidenced.
Valuation history
Comparable players
| Player | Similarity | Value | Age |
|---|---|---|---|
| Kai XimenesFallowfield | 86% | €4.16m | 20 |
| Tomas NakamuraMarsden Cross | 86% | €8.48m | 32 |
| Wilson ZielinskiNorthfleet | 82% | €24.9m | 24 |
| Goran ArdalLangmere | 81% | €5.00m | 21 |
| Pedro EriksenOakhurst | 81% | €10.8m | 28 |
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
- 56%of 72% ceiling
- Sample
- 805 min · 14 apps
- Last fixture
- 23 Jan
Percentiles are taken against MIDs 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.