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Player report

Omar Whitlock

MID · Oakhurst · Demo Premier League · 31 years · Wales

Valuation

Estimated value
€8.24m
Model range
€5.31m–€11.2m
Confidence
68%
Season change
+9.6%

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 threat48
  • Chance creation92
  • Finishing60
  • Defending61
  • Availability82

Per 90, percentile ranked

  • Goals0.06
  • Assists0.25
  • Shots1.9
  • Shots on target0.4
  • Key passes1.3
  • Expected goals0.06
  • Expected assists0.19
  • Tackles1.3
  • Interceptions1.2
  • Clearances1.4

Elite chance creation midfielder (92th percentile), with above average defending (61th). Played 67% of available minutes.

Season

Appearances
19
Minutes
1457
Goals / assists
1 / 4
Availability
67%

Key strengths

  • Chance creation is a clear strength92th percentile among MIDs in this division
  • Elite volume of key passes1.30 per 90, 96th percentile

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

Omar Whitlock index by matchweek

Comparable players

PlayerSimilarityValueAge
Viktor VasquezKelsford84%€4.22m20
Emil BrennanOakhurst84%€5.24m24
Emil QuintanaCalderbrook82%€19.7m30
Andre EkstromFallowfield82%€13.1m29
Noah CastileCalderbrook80%€1.09m34

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
68%of 72% ceiling
Sample
1457 min · 19 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.