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Player report

Samir Whitlock

FWD · Deepdale Vale · Demo Premier League · 19 years · Argentina

Valuation

Estimated value
€3.65m
Model range
€2.43m–€4.87m
Confidence
72%
Season change
−2.2%

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 threat14
  • Chance creation11
  • Finishing26
  • Defending5
  • Availability72

Per 90, percentile ranked

  • Goals0.13
  • Assists0.00
  • Shots2.3
  • Shots on target0.6
  • Key passes1.3
  • Expected goals0.13
  • Expected assists0.06
  • Tackles0.0
  • Interceptions0.0
  • Clearances0.0

Well-rounded forward without a standout axis in this data — no category clears the 26th percentile among positional peers. Played 67% of available minutes.

Season

Appearances
17
Minutes
1439
Goals / assists
2 / 0
Availability
67%

Key strengths

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

Key risks and limitations

  • Goal threat is a clear weakness14th percentile among FWDs in this division
  • Chance creation is a clear weakness11th percentile among FWDs in this division
  • Defending is a clear weakness5th percentile among FWDs in this division

Valuation history

Samir Whitlock index by matchweek

Comparable players

PlayerSimilarityValueAge
Mateo GallagherGranthorpe86%€2.45m19
Omar ToureenDeepdale Vale84%€2.53m18
Omar UgarteKelsford79%€9.46m30
Jonas ChevalierPendlebury79%€11.8m21
Hugo CastilePendlebury78%€6.86m28

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
1439 min · 17 apps
Last fixture
16 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.