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Player report

Viktor Ximenes

DEF · Calderbrook · Demo Premier League · 28 years · Senegal

Valuation

Estimated value
€4.05m
Model range
€2.70m–€5.41m
Confidence
72%
Season change
+8.8%

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 threat8
  • Chance creation22
  • Finishing46
  • Defending22
  • Availability62

Per 90, percentile ranked

  • Goals0.00
  • Assists0.00
  • Shots0.0
  • Shots on target0.0
  • Key passes0.0
  • Expected goals0.00
  • Expected assists0.01
  • Tackles2.2
  • Interceptions1.2
  • Clearances1.7

Well-rounded defender without a standout axis in this data — no category clears the 46th percentile among positional peers. Played 57% of available minutes.

Season

Appearances
17
Minutes
1229
Goals / assists
0 / 0
Availability
57%

Key strengths

  • Elite volume of goals conceded0.73 per 90, 91th percentile

Key risks and limitations

  • Goal threat is a clear weakness8th percentile among DEFs in this division

Valuation history

Viktor Ximenes index by matchweek

Comparable players

PlayerSimilarityValueAge
Jonas HaugenLangmere87%€12.8m21
Omar ToureenMarsden Cross87%€2.13m35
Gabriel DelgadoPendlebury86%€377k35
Idris ZielinskiDeepdale Vale85%€3.33m20
Adam ChevalierRookwood84%€3.38m30

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
1229 min · 17 apps
Last fixture
23 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.