Player report
Felix Castile
DEF · Quarrydale · Demo Premier League · 31 years · Italy
Valuation
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 creation4
- Finishing46
- Defending86
- Availability0
Per 90, percentile ranked
Not enough minutes to rank against positional peers yet.
Strong defending defender (86th percentile). Chance creation is the clear gap at the 4th percentile. Availability is the headline risk: 2% of available minutes played.
Season
Key strengths
- Defending is a clear strength86th percentile among DEFs in this division
Key risks and limitations
- Goal threat is a clear weakness8th percentile among DEFs in this division
- Chance creation is a clear weakness4th percentile among DEFs in this division
- Availability is the headline risk2% of available minutes; 23 matchweeks missed
- Too few minutes to rank against peers33 minutes, below the 270-minute floor. Rates are shown but carry no percentile.
- Low model confidence22% against a ceiling of 72%. The valuation range is correspondingly wide.
Valuation history
Comparable players
| Player | Similarity | Value | Age |
|---|---|---|---|
| Idris ChevalierAshcombe | 0% | €16.3m | 25 |
| Wilson XimenesAshcombe | 0% | €4.51m | 30 |
| Dmitri DelgadoAshcombe | 0% | €241k | 34 |
| Adam GrimaldiAshcombe | 0% | €495k | 31 |
| Dmitri CastileAshcombe | 0% | €763k | 33 |
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
- 22%of 72% ceiling
- Sample
- 33 min · 1 apps
- Last fixture
- 29 Aug
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.