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Player report

Viktor Barros

GK · Granthorpe · Demo Premier League · 20 years · England

Valuation

Estimated value
€2.25m
Model range
€1.24m–€3.27m
Confidence
51%
Season change
+10.2%

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 stopping50
  • Defending56
  • Chance creation70
  • Availability34

Per 90, percentile ranked

  • Goals0.00
  • Assists0.00
  • Shots0.0
  • Shots on target0.0
  • Key passes0.0
  • Expected goals0.00
  • Expected assists0.01
  • Tackles0.0
  • Interceptions0.0
  • Clearances1.0
  • Saves2.9
  • Goals conceded0.9

Above average chance creation goalkeeper (70th percentile), with above average defending (56th). Availability is the headline risk: 33% of available minutes played.

Season

Appearances
8
Minutes
720
Goals / assists
0 / 0
Availability
33%

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 risk33% of available minutes; 16 matchweeks missed
  • Small sample720 minutes across 8 appearances. Percentiles are published but thinly evidenced.

Valuation history

Viktor Barros index by matchweek

Comparable players

PlayerSimilarityValueAge
Zeki ZielinskiRookwood89%€604k29
Finn GrimaldiCalderbrook88%€9.03m27
Kai BrennanNorthfleet86%€579k19
Bruno OkaforRookwood83%€21.7m18
Rafael JokinenIlkeston Park82%€15.6m20

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
51%of 72% ceiling
Sample
720 min · 8 apps
Last fixture
16 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.