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Player report

Hugo Vasquez

FWD · Kelsford · Demo Premier League · 25 years · Germany

Valuation

Estimated value
€35.5m
Model range
€19.9m–€51.1m
Confidence
53%
Season change
+10.3%

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 threat41
  • Chance creation40
  • Finishing46
  • Defending57
  • Availability65

Per 90, percentile ranked

  • Goals0.21
  • Assists0.14
  • Shots2.6
  • Shots on target0.6
  • Key passes1.3
  • Expected goals0.21
  • Expected assists0.13
  • Tackles0.5
  • Interceptions0.4
  • Clearances0.8

Above average defending forward (57th percentile). Played 59% of available minutes.

Season

Appearances
16
Minutes
1273
Goals / assists
3 / 2
Availability
59%

Key strengths

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

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

Hugo Vasquez index by matchweek

Comparable players

PlayerSimilarityValueAge
Adam ToureenThorneside85%€3.40m20
Emil AbbottAshcombe82%€8.07m29
Diogo KovacBrackenford82%€11.3m22
Omar DahlbergNorthfleet82%€137k35
Diogo KovacGranthorpe81%€23.8m27

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
53%of 72% ceiling
Sample
1273 min · 16 apps
Last fixture
16 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.