Player report
Samir Ekstrom
DEF · Stanmoor · Demo Premier League · 28 years · Scotland
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 threat81
- Chance creation81
- Finishing0
- Defending70
- Availability94
Per 90, percentile ranked
- Goals0.10
- Assists0.10
- Shots0.7
- Shots on target0.1
- Key passes0.4
- Expected goals0.13
- Expected assists0.08
- Tackles2.1
- Interceptions1.8
- Clearances2.8
Strong goal threat defender (81th percentile), with strong chance creation (81th). Finishing is the clear gap at the 0th percentile.
Season
Key strengths
- Goal threat is a clear strength81th percentile among DEFs in this division
- Chance creation is a clear strength81th percentile among DEFs in this division
Key risks and limitations
- Finishing is a clear weakness0th percentile among DEFs in this division
Valuation history
Comparable players
| Player | Similarity | Value | Age |
|---|---|---|---|
| Yusuf ToureenIlkeston Park | 84% | €1.02m | 18 |
| Cillian ArdalNorthfleet | 84% | €8.22m | 22 |
| Bruno VasquezPendlebury | 84% | €22.4m | 19 |
| Kai GrimaldiFallowfield | 82% | €29.7m | 29 |
| Finn ArdalGranthorpe | 82% | €1.05m | 34 |
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
- 62%of 72% ceiling
- Sample
- 1806 min · 21 apps
- Last fixture
- 23 Jan
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.