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Player report

Adam Delgado

FWD · Quarrydale · Demo Premier League · 22 years · Netherlands

Valuation

Estimated value
€53.0m
Model range
€32.4m–€73.7m
Confidence
62%
Season change
+3.8%

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 threat86
  • Chance creation79
  • Finishing78
  • Defending22
  • Availability89

Per 90, percentile ranked

  • Goals0.41
  • Assists0.20
  • Shots3.1
  • Shots on target1.2
  • Key passes1.8
  • Expected goals0.33
  • Expected assists0.17
  • Tackles0.1
  • Interceptions0.0
  • Clearances0.5

Strong goal threat forward (86th percentile), with strong chance creation (79th). Defending is the clear gap at the 22th percentile.

Season

Appearances
21
Minutes
1760
Goals / assists
8 / 4
Availability
81%

Key strengths

  • Goal threat is a clear strength86th percentile among FWDs in this division
  • Elite volume of shots on target1.23 per 90, 95th percentile

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

Adam Delgado index by matchweek

Comparable players

PlayerSimilarityValueAge
Zeki CastileQuarrydale89%€8.85m35
Jonas OkaforOakhurst84%€65.0m23
Finn VasquezAshcombe83%€5.82m29
Cillian VasquezOakhurst82%€1.47m26
Goran ArdalBrackenford78%€59.4m20

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
62%of 72% ceiling
Sample
1760 min · 21 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.