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Player report

Hugo Yilmaz

MID · Pendlebury · Demo Premier League · 26 years · Morocco

Valuation

Estimated value
€2.47m
Model range
€1.55m–€3.39m
Confidence
65%
Season change
−6.7%

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 threat30
  • Chance creation2
  • Finishing46
  • Defending18
  • Availability53

Per 90, percentile ranked

  • Goals0.00
  • Assists0.00
  • Shots2.1
  • Shots on target0.3
  • Key passes0.3
  • Expected goals0.01
  • Expected assists0.04
  • Tackles1.1
  • Interceptions0.7
  • Clearances1.3

Well-rounded midfielder without a standout axis in this data — no category clears the 46th percentile among positional peers. Availability is the headline risk: 44% of available minutes played.

Season

Appearances
13
Minutes
961
Goals / assists
0 / 0
Availability
44%

Key strengths

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

Key risks and limitations

  • Defending is a clear weakness18th percentile among MIDs in this division
  • Chance creation is a clear weakness2th percentile among MIDs in this division
  • Availability is the headline risk44% of available minutes; 11 matchweeks missed

Valuation history

Hugo Yilmaz index by matchweek

Comparable players

PlayerSimilarityValueAge
Samir ZielinskiJarrowgate83%€556k20
Noah BrennanDeepdale Vale82%€1.85m30
Felix ToureenDeepdale Vale80%€2.88m28
Elias IbarraRookwood79%€425k34
Samir BrennanQuarrydale75%€610k32

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
65%of 72% ceiling
Sample
961 min · 13 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.