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Player report

Diogo Kovac

FWD · Brackenford · Demo Premier League · 22 years · Germany

Valuation

Estimated value
€11.3m
Model range
€7.51m–€15.0m
Confidence
72%
Season change
−2.2%

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 threat39
  • Chance creation21
  • Finishing28
  • Defending77
  • Availability79

Per 90, percentile ranked

  • Goals0.17
  • Assists0.06
  • Shots2.6
  • Shots on target0.6
  • Key passes1.3
  • Expected goals0.18
  • Expected assists0.07
  • Tackles0.6
  • Interceptions0.6
  • Clearances0.7

Strong defending forward (77th percentile). Chance creation is the clear gap at the 21th percentile. Played 72% of available minutes.

Season

Appearances
21
Minutes
1550
Goals / assists
3 / 1
Availability
72%

Key strengths

  • Elite volume of yellow cards0.00 per 90, 90th percentile

Key risks and limitations

  • No statistical red flags in the data we holdThis is not the same as no risk: we hold no contract, injury, wage or transfer data, and nobody has watched the player.

Valuation history

Diogo Kovac index by matchweek

Comparable players

PlayerSimilarityValueAge
Diogo KovacGranthorpe92%€23.8m27
Mateo VasquezAshcombe86%€4.95m27
Noah ToureenMarsden Cross85%€50.1m24
Wilson ArdalDeepdale Vale83%€4.98m32
Hugo VasquezKelsford82%€35.5m25

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
1550 min · 21 apps
Last fixture
23 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.