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Player report

Bertrand Delgado

DEF · Kelsford · Demo Premier League · 20 years · Portugal

Valuation

Estimated value
€4.03m
Model range
€2.62m–€5.44m
Confidence
69%
Season change
−2.8%

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 threat71
  • Chance creation58
  • Finishing86
  • Defending15
  • Availability42

Per 90, percentile ranked

  • Goals0.10
  • Assists0.00
  • Shots0.7
  • Shots on target0.1
  • Key passes0.4
  • Expected goals0.08
  • Expected assists0.02
  • Tackles1.7
  • Interceptions1.5
  • Clearances1.6

Strong finishing defender (86th percentile), with above average goal threat (71th). Defending is the clear gap at the 15th percentile. Availability is the headline risk: 43% of available minutes played.

Season

Appearances
13
Minutes
930
Goals / assists
1 / 0
Availability
43%

Key strengths

  • Finishing is a clear strength86th percentile among DEFs in this division

Key risks and limitations

  • Defending is a clear weakness15th percentile among DEFs in this division
  • Availability is the headline risk43% of available minutes; 11 matchweeks missed

Valuation history

Bertrand Delgado index by matchweek

Comparable players

PlayerSimilarityValueAge
Lucas ToureenMarsden Cross86%€510k30
Zeki EkstromQuarrydale83%€1.08m35
Cillian XimenesIlkeston Park82%€7.54m29
Finn HalvorsenAshcombe80%€4.74m29
Omar VasquezDeepdale Vale80%€1.35m29

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
69%of 72% ceiling
Sample
930 min · 13 apps
Last fixture
16 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.