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Player report

Viktor Farrow

GK · Brackenford · Demo Premier League · 26 years · Portugal

Valuation

Estimated value
€1.69m
Model range
€911k–€2.46m
Confidence
49%
Season change
−2.2%

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

  • Shot stopping54
  • Defending56
  • Chance creation31
  • Availability30

Per 90, percentile ranked

  • Goals0.00
  • Assists0.00
  • Shots0.0
  • Shots on target0.0
  • Key passes0.0
  • Expected goals0.00
  • Expected assists0.00
  • Tackles0.0
  • Interceptions0.0
  • Clearances1.0
  • Saves4.3
  • Goals conceded1.3

Above average defending goalkeeper (56th percentile). Availability is the headline risk: 29% of available minutes played.

Season

Appearances
7
Minutes
630
Goals / assists
0 / 0
Availability
29%

Key strengths

  • No standout axis in this dataNothing clears the 80th percentile among positional peers on the metrics we carry.

Key risks and limitations

  • Availability is the headline risk29% of available minutes; 17 matchweeks missed
  • Small sample630 minutes across 7 appearances. Percentiles are published but thinly evidenced.

Valuation history

Viktor Farrow index by matchweek

Comparable players

PlayerSimilarityValueAge
Wilson MoreauMarsden Cross94%€19.1m24
Viktor GrimaldiMarsden Cross94%€3.70m21
Pedro ZielinskiKelsford93%€22.7m18
Rafael FontaineGranthorpe92%€6.53m24
Pedro IbarraJarrowgate92%€2.51m21

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
49%of 72% ceiling
Sample
630 min · 7 apps
Last fixture
2 Jan

Percentiles are taken against GKs 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.