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Player report

Mateo Vasquez

FWD · Ashcombe · Demo Premier League · 27 years · Croatia

Valuation

Estimated value
€4.95m
Model range
€3.30m–€6.60m
Confidence
72%
Season change
−7.7%

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 threat32
  • Chance creation14
  • Finishing56
  • Defending98
  • Availability94

Per 90, percentile ranked

  • Goals0.15
  • Assists0.00
  • Shots2.7
  • Shots on target0.6
  • Key passes1.4
  • Expected goals0.14
  • Expected assists0.04
  • Tackles0.9
  • Interceptions0.6
  • Clearances1.0

Elite defending forward (98th percentile), with above average finishing (56th). Chance creation is the clear gap at the 14th percentile.

Season

Appearances
22
Minutes
1815
Goals / assists
3 / 0
Availability
84%

Key strengths

  • Defending is a clear strength98th percentile among FWDs in this division
  • Elite volume of tackles0.89 per 90, 96th percentile

Key risks and limitations

  • Chance creation is a clear weakness14th percentile among FWDs in this division

Valuation history

Mateo Vasquez index by matchweek

Comparable players

PlayerSimilarityValueAge
Diogo KovacBrackenford86%€11.3m22
Diogo KovacGranthorpe82%€23.8m27
Caleb FontaineHollinwell82%€2.62m19
Andre IbarraJarrowgate81%€1.24m26
Wilson ArdalDeepdale Vale79%€4.98m32

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
1815 min · 22 apps
Last fixture
23 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.