Player report
Samir Lindqvist
GK · Jarrowgate · Demo Premier League · 20 years · Norway
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 stopping7
- Defending13
- Chance creation31
- Availability44
Per 90, percentile ranked
- Goals0.00
- Assists0.00
- Shots0.0
- Shots on target0.0
- Key passes0.0
- Expected goals0.00
- Expected assists0.00
- Tackles0.0
- Interceptions0.0
- Clearances0.8
- Saves5.3
- Goals conceded2.4
Well-rounded goalkeeper without a standout axis in this data — no category clears the 31th percentile among positional peers. Played 54% of available minutes.
Season
Key strengths
- Elite volume of saves5.31 per 90, 96th percentile
Key risks and limitations
- Defending is a clear weakness13th percentile among GKs in this division
- Shot stopping is a clear weakness7th percentile among GKs in this division
Valuation history
Comparable players
| Player | Similarity | Value | Age |
|---|---|---|---|
| Pedro ToureenStanmoor | 91% | €20.8m | 30 |
| Rafael FontaineGranthorpe | 88% | €6.53m | 24 |
| Pedro ZielinskiKelsford | 88% | €22.7m | 18 |
| Pedro IbarraJarrowgate | 87% | €2.51m | 21 |
| Pedro WhitlockHollinwell | 85% | €5.53m | 23 |
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
- 68%of 72% ceiling
- Sample
- 1170 min · 13 apps
- Last fixture
- 23 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.