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Player report

Bertrand Zielinski

DEF · Eastmarsh · Demo Premier League · 34 years · Argentina

Valuation

Estimated value
€1.74m
Model range
€1.16m–€2.32m
Confidence
72%
Season change
+8.3%

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 threat46
  • Chance creation4
  • Finishing86
  • Defending45
  • Availability93

Per 90, percentile ranked

  • Goals0.10
  • Assists0.00
  • Shots0.1
  • Shots on target0.1
  • Key passes0.0
  • Expected goals0.08
  • Expected assists0.00
  • Tackles1.8
  • Interceptions1.8
  • Clearances2.5

Strong finishing defender (86th percentile). Chance creation is the clear gap at the 4th percentile.

Season

Appearances
22
Minutes
1804
Goals / assists
2 / 0
Availability
84%

Key strengths

  • Finishing is a clear strength86th percentile among DEFs in this division

Key risks and limitations

  • Chance creation is a clear weakness4th percentile among DEFs in this division

Valuation history

Bertrand Zielinski index by matchweek

Comparable players

PlayerSimilarityValueAge
Caleb JokinenKelsford93%€6.64m26
Diogo DahlbergCalderbrook88%€42.1m21
Wilson XimenesAshcombe87%€4.51m30
Idris KovacQuarrydale83%€10.2m24
Wilson JansenBrackenford80%€3.28m31

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
72%of 72% ceiling
Sample
1804 min · 22 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.