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Player report

Bruno Okafor

GK · Rookwood · Demo Premier League · 18 years · Japan

Valuation

Estimated value
€21.7m
Model range
€13.3m–€30.0m
Confidence
63%
Season change
+11.8%

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

  • Shot stopping87
  • Defending41
  • Chance creation31
  • Availability64

Per 90, percentile ranked

  • Goals0.00
  • Assists0.00
  • Shots0.0
  • Shots on target0.0
  • Key passes0.0
  • Expected goals0.00
  • Expected assists0.00
  • Tackles0.0
  • Interceptions0.0
  • Clearances0.9
  • Saves3.3
  • Goals conceded0.6

Strong shot stopping goalkeeper (87th percentile). Played 79% of available minutes.

Season

Appearances
19
Minutes
1710
Goals / assists
0 / 0
Availability
79%

Key strengths

  • Shot stopping is a clear strength87th percentile among GKs 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

Bruno Okafor index by matchweek

Comparable players

PlayerSimilarityValueAge
Jonas ChevalierQuarrydale92%€18.4m19
Tomas JokinenOakhurst91%€346k35
Rafael ToureenEastmarsh89%€17.2m20
Zeki RasmussenIlkeston Park87%€834k23
Kai ChevalierOakhurst87%€6.97m33

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
63%of 72% ceiling
Sample
1710 min · 19 apps
Last fixture
23 Jan

Percentiles are taken against GKs 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.