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Player report

Omar Yilmaz

FWD · Fallowfield · Demo Premier League · 27 years · Nigeria

Valuation

Estimated value
€39.8m
Model range
€20.2m–€59.5m
Confidence
43%
Season change
+14.1%

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
  • Finishing51
  • Defending62
  • Availability49

Per 90, percentile ranked

  • Goals0.41
  • Assists0.25
  • Shots2.8
  • Shots on target1.2
  • Key passes1.4
  • Expected goals0.39
  • Expected assists0.21
  • Tackles0.7
  • Interceptions0.2
  • Clearances0.8

Strong goal threat forward (87th percentile), with above average chance creation (74th). Played 50% of available minutes.

Season

Appearances
13
Minutes
1086
Goals / assists
5 / 3
Availability
50%

Key strengths

  • Goal threat is a clear strength87th percentile among FWDs in this division
  • Elite volume of shots on target1.16 per 90, 91th percentile

Key risks and limitations

  • Low model confidence43% against a ceiling of 72%. The valuation range is correspondingly wide.

Valuation history

Omar Yilmaz index by matchweek

Comparable players

PlayerSimilarityValueAge
Diogo WhitlockLangmere83%€179k32
Adam XimenesBrackenford79%€42.2m25
Goran OkaforIlkeston Park79%€48.0m23
Diogo BarrosRookwood79%€5.94m29
Adam ZielinskiEastmarsh78%€24.1m31

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
43%of 72% ceiling
Sample
1086 min · 13 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.