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Player report

Viktor Vasquez

DEF · Granthorpe · Demo Premier League · 30 years · Sweden

Valuation

Estimated value
€2.27m
Model range
€1.51m–€3.03m
Confidence
72%
Season change
−1.0%

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 threat17
  • Chance creation33
  • Finishing46
  • Defending81
  • Availability49

Per 90, percentile ranked

  • Goals0.00
  • Assists0.00
  • Shots0.0
  • Shots on target0.0
  • Key passes0.0
  • Expected goals0.00
  • Expected assists0.01
  • Tackles2.4
  • Interceptions2.0
  • Clearances2.1

Strong defending defender (81th percentile). Goal threat is the clear gap at the 17th percentile. Availability is the headline risk: 48% of available minutes played.

Season

Appearances
14
Minutes
1035
Goals / assists
0 / 0
Availability
48%

Key strengths

  • Defending is a clear strength81th percentile among DEFs in this division

Key risks and limitations

  • Goal threat is a clear weakness17th percentile among DEFs in this division
  • Availability is the headline risk48% of available minutes; 10 matchweeks missed

Valuation history

Viktor Vasquez index by matchweek

Comparable players

PlayerSimilarityValueAge
Viktor DelgadoCalderbrook94%€5.61m26
Adam GrimaldiAshcombe90%€495k31
Goran OkaforEastmarsh89%€1.72m18
Zeki IvesQuarrydale88%€13.6m21
Dmitri YilmazStanmoor87%€26.9m20

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
1035 min · 14 apps
Last fixture
23 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.