Player report
Pedro Jansen
GK · Stanmoor · Demo Premier League · 28 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
- Shot stopping3
- Defending1
- Chance creation86
- Availability0
Per 90, percentile ranked
Not enough minutes to rank against positional peers yet.
Strong chance creation goalkeeper (86th percentile). Defending is the clear gap at the 1th percentile. Availability is the headline risk: 8% of available minutes played.
Season
Key strengths
- Chance creation is a clear strength86th percentile among GKs in this division
Key risks and limitations
- Shot stopping is a clear weakness3th percentile among GKs in this division
- Defending is a clear weakness1th percentile among GKs in this division
- Availability is the headline risk8% of available minutes; 22 matchweeks missed
- Too few minutes to rank against peers180 minutes, below the 270-minute floor. Rates are shown but carry no percentile.
- Low model confidence25% against a ceiling of 72%. The valuation range is correspondingly wide.
Valuation history
Comparable players
| Player | Similarity | Value | Age |
|---|---|---|---|
| Finn GrimaldiAshcombe | 0% | €2.05m | 35 |
| Omar ZielinskiAshcombe | 0% | €772k | 27 |
| Adam HaugenBrackenford | 0% | €12.1m | 22 |
| Viktor FarrowBrackenford | 0% | €1.69m | 26 |
| Finn GrimaldiCalderbrook | 0% | €9.03m | 27 |
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
- 25%of 72% ceiling
- Sample
- 180 min · 2 apps
- Last fixture
- 9 Jan
Percentiles are taken against GKs 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.