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Player report

Yusuf Zielinski

FWD · Deepdale Vale · Demo Premier League · 22 years · Croatia

Valuation

Estimated value
€1.27m
Model range
€711k–€1.82m
Confidence
53%
Season change
−11.7%

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 threat22
  • Chance creation60
  • Finishing13
  • Defending73
  • Availability48

Per 90, percentile ranked

  • Goals0.08
  • Assists0.25
  • Shots2.6
  • Shots on target0.6
  • Key passes1.2
  • Expected goals0.10
  • Expected assists0.22
  • Tackles0.5
  • Interceptions0.7
  • Clearances0.6

Above average defending forward (73th percentile), with above average chance creation (60th). Finishing is the clear gap at the 13th percentile. Availability is the headline risk: 49% of available minutes played.

Season

Appearances
13
Minutes
1059
Goals / assists
1 / 3
Availability
49%

Key strengths

  • Elite volume of interceptions0.68 per 90, 94th percentile

Key risks and limitations

  • Finishing is a clear weakness13th percentile among FWDs in this division
  • Availability is the headline risk49% of available minutes; 11 matchweeks missed

Valuation history

Yusuf Zielinski index by matchweek

Comparable players

PlayerSimilarityValueAge
Omar AbbottMarsden Cross84%€17.5m25
Lucas OkaforAshcombe82%€527k32
Yusuf ChevalierJarrowgate81%€5.38m18
Elias AbbottQuarrydale80%€12.0m33
Emil AbbottAshcombe79%€8.07m29

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
53%of 72% ceiling
Sample
1059 min · 13 apps
Last fixture
9 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.