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Player report

Viktor Fontaine

MID · Oakhurst · Demo Premier League · 18 years · Senegal

Valuation

Estimated value
€27.1m
Model range
€17.6m–€36.6m
Confidence
69%
Season change
+16.2%

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

  • Goal threat65
  • Chance creation16
  • Finishing24
  • Defending72
  • Availability92

Per 90, percentile ranked

  • Goals0.22
  • Assists0.00
  • Shots1.4
  • Shots on target0.4
  • Key passes0.7
  • Expected goals0.24
  • Expected assists0.02
  • Tackles1.4
  • Interceptions1.3
  • Clearances1.9

Above average defending midfielder (72th percentile), with above average goal threat (65th). Chance creation is the clear gap at the 16th percentile. Played 76% of available minutes.

Season

Appearances
20
Minutes
1641
Goals / assists
4 / 0
Availability
76%

Key strengths

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

Key risks and limitations

  • Chance creation is a clear weakness16th percentile among MIDs in this division

Valuation history

Viktor Fontaine index by matchweek

Comparable players

PlayerSimilarityValueAge
Dmitri HaugenDeepdale Vale86%€2.56m34
Wilson ChevalierLangmere81%€13.7m23
Mateo LindqvistIlkeston Park80%€20.7m22
Rafael YilmazKelsford79%€47.1m23
Dmitri HaugenHollinwell77%€680k21

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
69%of 72% ceiling
Sample
1641 min · 20 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.