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Player report

Viktor Brennan

MID · Kelsford · Demo Premier League · 35 years · England

Valuation

Estimated value
€1.23m
Model range
€819k–€1.64m
Confidence
72%
Season change
+4.7%

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 threat37
  • Chance creation13
  • Finishing2
  • Defending32
  • Availability70

Per 90, percentile ranked

  • Goals0.14
  • Assists0.00
  • Shots1.2
  • Shots on target0.2
  • Key passes0.6
  • Expected goals0.20
  • Expected assists0.02
  • Tackles1.3
  • Interceptions0.8
  • Clearances1.3

Well-rounded midfielder without a standout axis in this data — no category clears the 37th percentile among positional peers. Played 58% of available minutes.

Season

Appearances
16
Minutes
1254
Goals / assists
2 / 0
Availability
58%

Key strengths

  • Elite volume of yellow cards0.00 per 90, 91th percentile

Key risks and limitations

  • Chance creation is a clear weakness13th percentile among MIDs in this division
  • Finishing is a clear weakness2th percentile among MIDs in this division

Valuation history

Viktor Brennan index by matchweek

Comparable players

PlayerSimilarityValueAge
Viktor XimenesQuarrydale85%€644k29
Viktor NakamuraStanmoor83%€31.9m22
Wilson GrimaldiGranthorpe82%€12.9m25
Noah HaugenStanmoor80%€4.11m25
Samir BrennanQuarrydale79%€610k32

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
72%of 72% ceiling
Sample
1254 min · 16 apps
Last fixture
23 Jan

Percentiles are taken against MIDs 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.