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Player report

Viktor Ives

FWD · Ilkeston Park · Demo Premier League · 30 years · Senegal

Valuation

Estimated value
€544k
Model range
€270k–€819k
Confidence
41%
Season change
−13.0%

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 threat1
  • Chance creation55
  • Finishing39
  • Defending42
  • Availability11

Per 90, percentile ranked

  • Goals0.00
  • Assists0.17
  • Shots1.9
  • Shots on target0.2
  • Key passes1.4
  • Expected goals0.02
  • Expected assists0.17
  • Tackles0.5
  • Interceptions0.2
  • Clearances0.5

Above average chance creation forward (55th percentile). Goal threat is the clear gap at the 1th percentile. Availability is the headline risk: 24% of available minutes played.

Season

Appearances
8
Minutes
515
Goals / assists
0 / 1
Availability
24%

Key strengths

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

Key risks and limitations

  • Goal threat is a clear weakness1th percentile among FWDs in this division
  • Availability is the headline risk24% of available minutes; 16 matchweeks missed
  • Small sample515 minutes across 8 appearances. Percentiles are published but thinly evidenced.
  • Low model confidence41% against a ceiling of 72%. The valuation range is correspondingly wide.

Valuation history

Viktor Ives index by matchweek

Comparable players

PlayerSimilarityValueAge
Jonas LindqvistMarsden Cross83%€2.43m23
Omar UgarteKelsford79%€9.46m30
Yusuf ChevalierJarrowgate77%€5.38m18
Elias AbbottQuarrydale76%€12.0m33
Bertrand CastileKelsford75%€56.0m19

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
41%of 72% ceiling
Sample
515 min · 8 apps
Last fixture
9 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.