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Player report

Lucas Farrow

FWD · Thorneside · Demo Premier League · 32 years · Brazil

Valuation

Estimated value
€2.84m
Model range
€1.80m–€3.88m
Confidence
66%
Season change
+6.6%

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 threat81
  • Chance creation33
  • Finishing89
  • Defending68
  • Availability45

Per 90, percentile ranked

  • Goals0.35
  • Assists0.09
  • Shots2.7
  • Shots on target1.2
  • Key passes1.3
  • Expected goals0.27
  • Expected assists0.10
  • Tackles0.4
  • Interceptions0.7
  • Clearances0.4

Strong finishing forward (89th percentile), with strong goal threat (81th). Availability is the headline risk: 47% of available minutes played.

Season

Appearances
14
Minutes
1018
Goals / assists
4 / 1
Availability
47%

Key strengths

  • Finishing is a clear strength89th percentile among FWDs in this division
  • Goal threat is a clear strength81th percentile among FWDs in this division
  • Elite volume of shots on target1.24 per 90, 97th percentile

Key risks and limitations

  • Availability is the headline risk47% of available minutes; 10 matchweeks missed

Valuation history

Lucas Farrow index by matchweek

Comparable players

PlayerSimilarityValueAge
Diogo JokinenThorneside83%€3.63m34
Wilson AbbottLangmere80%€4.25m32
Hugo YilmazCalderbrook76%€9.42m24
Adam IvesNorthfleet76%€3.56m20
Tomas LindqvistHollinwell75%€1.81m18

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
66%of 72% ceiling
Sample
1018 min · 14 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.