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Player report

Tomas Okafor

DEF · Deepdale Vale · Demo Premier League · 29 years · Japan

Valuation

Estimated value
€485k
Model range
€278k–€693k
Confidence
55%
Season change
−14.8%

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

  • Goal threat8
  • Chance creation17
  • Finishing46
  • Defending31
  • Availability58

Per 90, percentile ranked

  • Goals0.00
  • Assists0.00
  • Shots0.0
  • Shots on target0.0
  • Key passes0.0
  • Expected goals0.00
  • Expected assists0.00
  • Tackles1.6
  • Interceptions2.0
  • Clearances1.8

Well-rounded defender without a standout axis in this data — no category clears the 46th percentile among positional peers. Played 55% of available minutes.

Season

Appearances
15
Minutes
1182
Goals / assists
0 / 0
Availability
55%

Key strengths

  • No standout axis in this dataNothing clears the 80th percentile among positional peers on the metrics we carry.

Key risks and limitations

  • Chance creation is a clear weakness17th percentile among DEFs in this division
  • Goal threat is a clear weakness8th percentile among DEFs in this division

Valuation history

Tomas Okafor index by matchweek

Comparable players

PlayerSimilarityValueAge
Elias OkaforFallowfield84%€98k35
Dmitri YilmazStanmoor83%€26.9m20
Jonas HaugenLangmere82%€12.8m21
Idris ZielinskiDeepdale Vale80%€3.33m20
Zeki IvesQuarrydale79%€13.6m21

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
55%of 72% ceiling
Sample
1182 min · 15 apps
Last fixture
9 Jan

Percentiles are taken against DEFs 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.