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Player report

Omar Vasquez

DEF · Deepdale Vale · Demo Premier League · 29 years · Senegal

Valuation

Estimated value
€1.35m
Model range
€900k–€1.80m
Confidence
72%
Season change
−3.4%

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 threat67
  • Chance creation52
  • Finishing78
  • Defending48
  • Availability76

Per 90, percentile ranked

  • Goals0.06
  • Assists0.00
  • Shots0.7
  • Shots on target0.1
  • Key passes0.3
  • Expected goals0.05
  • Expected assists0.02
  • Tackles2.4
  • Interceptions1.6
  • Clearances1.8

Strong finishing defender (78th percentile), with above average goal threat (67th). Played 69% of available minutes.

Season

Appearances
18
Minutes
1501
Goals / assists
1 / 0
Availability
69%

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

Omar Vasquez index by matchweek

Comparable players

PlayerSimilarityValueAge
Cillian XimenesIlkeston Park83%€7.54m29
Bruno VasquezPendlebury81%€22.4m19
Diogo ArdalEastmarsh80%€1.34m28
Goran IvesJarrowgate80%€3.09m23
Bertrand DelgadoKelsford80%€4.03m20

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
1501 min · 18 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.