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Player report

Dmitri Yilmaz

DEF · Stanmoor · Demo Premier League · 20 years · Portugal

Valuation

Estimated value
€26.9m
Model range
€14.3m–€39.4m
Confidence
48%
Season change
+4.3%

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 threat19
  • Chance creation23
  • Finishing46
  • Defending56
  • Availability39

Per 90, percentile ranked

  • Goals0.00
  • Assists0.00
  • Shots0.1
  • Shots on target0.0
  • Key passes0.0
  • Expected goals0.00
  • Expected assists0.01
  • Tackles2.1
  • Interceptions1.9
  • Clearances2.5

Above average defending defender (56th percentile). Goal threat is the clear gap at the 19th percentile. Availability is the headline risk: 42% of available minutes played.

Season

Appearances
15
Minutes
912
Goals / assists
0 / 0
Availability
42%

Key strengths

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

Key risks and limitations

  • Goal threat is a clear weakness19th percentile among DEFs in this division
  • Availability is the headline risk42% of available minutes; 9 matchweeks missed

Valuation history

Dmitri Yilmaz index by matchweek

Comparable players

PlayerSimilarityValueAge
Adam GrimaldiAshcombe88%€495k31
Elias OkaforFallowfield88%€98k35
Zeki IvesQuarrydale88%€13.6m21
Viktor VasquezGranthorpe87%€2.27m30
Viktor DelgadoCalderbrook85%€5.61m26

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
48%of 72% ceiling
Sample
912 min · 15 apps
Last fixture
23 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.