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Player report

Viktor Grimaldi

GK · Marsden Cross · Demo Premier League · 21 years · England

Valuation

Estimated value
€3.70m
Model range
€2.20m–€5.20m
Confidence
59%
Season change
+9.8%

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

  • Shot stopping54
  • Defending70
  • Chance creation31
  • Availability39

Per 90, percentile ranked

  • Goals0.00
  • Assists0.00
  • Shots0.0
  • Shots on target0.0
  • Key passes0.0
  • Expected goals0.00
  • Expected assists0.00
  • Tackles0.0
  • Interceptions0.0
  • Clearances1.2
  • Saves5.0
  • Goals conceded1.5

Above average defending goalkeeper (70th percentile). Availability is the headline risk: 42% of available minutes played.

Season

Appearances
10
Minutes
900
Goals / assists
0 / 0
Availability
42%

Key strengths

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

Key risks and limitations

  • Availability is the headline risk42% of available minutes; 14 matchweeks missed

Valuation history

Viktor Grimaldi index by matchweek

Comparable players

PlayerSimilarityValueAge
Adam HaugenBrackenford96%€12.1m22
Viktor FarrowBrackenford94%€1.69m26
Felix IvesDeepdale Vale91%€195k35
Goran AbbottPendlebury91%€575k22
Rafael FontaineGranthorpe89%€6.53m24

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
59%of 72% ceiling
Sample
900 min · 10 apps
Last fixture
9 Jan

Percentiles are taken against GKs 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.