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Player report

Bertrand Castile

FWD · Kelsford · Demo Premier League · 19 years · Japan

Valuation

Estimated value
€56.0m
Model range
€33.6m–€78.4m
Confidence
60%
Season change
+22.2%

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 threat24
  • Chance creation64
  • Finishing80
  • Defending26
  • Availability83

Per 90, percentile ranked

  • Goals0.22
  • Assists0.22
  • Shots2.4
  • Shots on target0.5
  • Key passes1.4
  • Expected goals0.18
  • Expected assists0.19
  • Tackles0.2
  • Interceptions0.1
  • Clearances0.3

Strong finishing forward (80th percentile), with above average chance creation (64th). Goal threat is the clear gap at the 24th percentile. Played 75% of available minutes.

Season

Appearances
20
Minutes
1623
Goals / assists
4 / 4
Availability
75%

Key strengths

  • Finishing is a clear strength80th percentile among FWDs in this division

Key risks and limitations

  • No statistical red flags in the data we holdThis is not the same as no risk: we hold no contract, injury, wage or transfer data, and nobody has watched the player.

Valuation history

Bertrand Castile index by matchweek

Comparable players

PlayerSimilarityValueAge
Dmitri JokinenRookwood85%€2.33m32
Emil OkaforIlkeston Park83%€1.65m32
Elias AbbottQuarrydale81%€12.0m33
Dmitri UgarteStanmoor80%€6.23m21
Finn YilmazBrackenford78%€10.8m26

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
60%of 72% ceiling
Sample
1623 min · 20 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.