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Player report

Finn Okafor

MID · Thorneside · Demo Premier League · 27 years · Japan

Valuation

Estimated value
€16.6m
Model range
€11.0m–€22.1m
Confidence
72%
Season change
+10.1%

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 threat87
  • Chance creation74
  • Finishing16
  • Defending25
  • Availability95

Per 90, percentile ranked

  • Goals0.25
  • Assists0.20
  • Shots1.5
  • Shots on target0.6
  • Key passes0.9
  • Expected goals0.30
  • Expected assists0.15
  • Tackles0.9
  • Interceptions1.0
  • Clearances1.4

Strong goal threat midfielder (87th percentile), with above average chance creation (74th). Finishing is the clear gap at the 16th percentile.

Season

Appearances
21
Minutes
1781
Goals / assists
5 / 4
Availability
82%

Key strengths

  • Goal threat is a clear strength87th percentile among MIDs in this division
  • Elite volume of yellow cards0.00 per 90, 91th percentile

Key risks and limitations

  • Finishing is a clear weakness16th percentile among MIDs in this division

Valuation history

Finn Okafor index by matchweek

Comparable players

PlayerSimilarityValueAge
Caleb ZielinskiLangmere85%€10.9m34
Bertrand VasquezFallowfield84%€505k25
Samir JokinenNorthfleet83%€30.8m28
Bruno ToureenCalderbrook79%€989k24
Hugo EkstromBrackenford78%€15.3m24

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
72%of 72% ceiling
Sample
1781 min · 21 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.

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