Search players

Find a player by name, club or ticker

Player report

Zeki Kovac

DEF · Hollinwell · Demo Premier League · 22 years · Croatia

Valuation

Estimated value
€438k
Model range
€226k–€649k
Confidence
45%
Season change
−15.4%

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 threat61
  • Chance creation32
  • Finishing5
  • Defending90
  • Availability56

Per 90, percentile ranked

  • Goals0.08
  • Assists0.00
  • Shots0.2
  • Shots on target0.1
  • Key passes0.0
  • Expected goals0.10
  • Expected assists0.01
  • Tackles2.5
  • Interceptions1.7
  • Clearances3.4

Elite defending defender (90th percentile), with above average goal threat (61th). Finishing is the clear gap at the 5th percentile. Played 54% of available minutes.

Season

Appearances
14
Minutes
1165
Goals / assists
1 / 0
Availability
54%

Key strengths

  • Defending is a clear strength90th percentile among DEFs in this division
  • Elite volume of clearances3.40 per 90, 98th percentile

Key risks and limitations

  • Finishing is a clear weakness5th percentile among DEFs in this division

Valuation history

Zeki Kovac index by matchweek

Comparable players

PlayerSimilarityValueAge
Idris KovacQuarrydale85%€10.2m24
Adam LindqvistPendlebury84%€2.55m34
Wilson JansenBrackenford83%€3.28m31
Yusuf XimenesNorthfleet80%€24.0m18
Bertrand ZielinskiEastmarsh77%€1.74m34

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
45%of 72% ceiling
Sample
1165 min · 14 apps
Last fixture
2 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.