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Player report

Goran Okafor

FWD · Ilkeston Park · Demo Premier League · 23 years · Argentina

Valuation

Estimated value
€48.0m
Model range
€29.3m–€66.6m
Confidence
62%
Season change
+9.4%

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 threat53
  • Chance creation78
  • Finishing90
  • Defending63
  • Availability85

Per 90, percentile ranked

  • Goals0.32
  • Assists0.21
  • Shots2.6
  • Shots on target0.8
  • Key passes1.7
  • Expected goals0.24
  • Expected assists0.18
  • Tackles0.5
  • Interceptions0.4
  • Clearances0.7

Elite finishing forward (90th percentile), with strong chance creation (78th). Played 78% of available minutes.

Season

Appearances
20
Minutes
1676
Goals / assists
6 / 4
Availability
78%

Key strengths

  • Finishing is a clear strength90th 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

Goran Okafor index by matchweek

Comparable players

PlayerSimilarityValueAge
Wilson XimenesCalderbrook91%€42.2m27
Adam ZielinskiEastmarsh87%€24.1m31
Diogo WhitlockLangmere87%€179k32
Lucas MoreauRookwood83%€42.1m19
Samir JokinenMarsden Cross82%€46.5m25

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
62%of 72% ceiling
Sample
1676 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.

Generated from data covering 24 matchweeks. Model 0.3.0-uncalibrated. Values are model estimates on an uncalibrated scale and are not transfer fees.