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Player report

Bruno Vasquez

DEF · Pendlebury · Demo Premier League · 19 years · Brazil

Valuation

Estimated value
€22.4m
Model range
€14.9m–€29.9m
Confidence
72%
Season change
+3.7%

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 threat68
  • Chance creation67
  • Finishing11
  • Defending53
  • Availability99

Per 90, percentile ranked

  • Goals0.05
  • Assists0.05
  • Shots0.8
  • Shots on target0.0
  • Key passes0.3
  • Expected goals0.05
  • Expected assists0.04
  • Tackles2.1
  • Interceptions1.6
  • Clearances2.6

Above average goal threat defender (68th percentile), with above average chance creation (67th). Finishing is the clear gap at the 11th percentile.

Season

Appearances
22
Minutes
1907
Goals / assists
1 / 1
Availability
88%

Key strengths

  • Consistently available88% of available minutes, 21 starts

Key risks and limitations

  • Finishing is a clear weakness11th percentile among DEFs in this division

Valuation history

Bruno Vasquez index by matchweek

Comparable players

PlayerSimilarityValueAge
Bertrand DelgadoEastmarsh87%€1.72m35
Samir EkstromStanmoor84%€27.2m28
Felix FarrowQuarrydale83%€2.67m33
Finn HalvorsenAshcombe82%€4.74m29
Lucas SalvatoreGranthorpe82%€4.04m23

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
1907 min · 22 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.