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Player report

Caleb Zielinski

MID · Langmere · Demo Premier League · 34 years · Spain

Valuation

Estimated value
€10.9m
Model range
€6.61m–€15.2m
Confidence
61%
Season change
+21.6%

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 threat72
  • Chance creation57
  • Finishing17
  • Defending26
  • Availability97

Per 90, percentile ranked

  • Goals0.24
  • Assists0.14
  • Shots1.4
  • Shots on target0.4
  • Key passes0.8
  • Expected goals0.28
  • Expected assists0.12
  • Tackles1.0
  • Interceptions0.9
  • Clearances1.4

Above average goal threat midfielder (72th percentile), with above average chance creation (57th). Finishing is the clear gap at the 17th percentile.

Season

Appearances
23
Minutes
1885
Goals / assists
5 / 3
Availability
87%

Key strengths

  • Consistently available87% of available minutes, 21 starts

Key risks and limitations

  • Finishing is a clear weakness17th percentile among MIDs in this division

Valuation history

Caleb Zielinski index by matchweek

Comparable players

PlayerSimilarityValueAge
Samir JokinenNorthfleet85%€30.8m28
Finn OkaforThorneside85%€16.6m27
Andre FontaineThorneside85%€297k35
Bruno ToureenCalderbrook82%€989k24
Yusuf GallagherCalderbrook80%€15.2m32

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
61%of 72% ceiling
Sample
1885 min · 23 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.