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Player report

Goran Ardal

FWD · Brackenford · Demo Premier League · 20 years · Croatia

Valuation

Estimated value
€59.4m
Model range
€32.0m–€86.8m
Confidence
49%
Season change
+19.3%

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 threat74
  • Chance creation46
  • Finishing23
  • Defending16
  • Availability56

Per 90, percentile ranked

  • Goals0.30
  • Assists0.15
  • Shots2.8
  • Shots on target0.8
  • Key passes1.4
  • Expected goals0.32
  • Expected assists0.13
  • Tackles0.2
  • Interceptions0.0
  • Clearances0.1

Above average goal threat forward (74th percentile). Defending is the clear gap at the 16th percentile. Played 55% of available minutes.

Season

Appearances
17
Minutes
1188
Goals / assists
4 / 2
Availability
55%

Key strengths

  • No standout axis in this dataNothing clears the 80th percentile among positional peers on the metrics we carry.

Key risks and limitations

  • Defending is a clear weakness16th percentile among FWDs in this division

Valuation history

Goran Ardal index by matchweek

Comparable players

PlayerSimilarityValueAge
Hugo YilmazCalderbrook90%€9.42m24
Tomas RasmussenEastmarsh87%€32.4m21
Omar ToureenKelsford87%€39.8m26
Pedro HalvorsenRookwood83%€3.28m26
Finn VasquezAshcombe82%€5.82m29

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
49%of 72% ceiling
Sample
1188 min · 17 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.