Search players

Find a player by name, club or ticker

Player report

Samir Ekstrom

FWD · Marsden Cross · Demo Premier League · 18 years · Japan

Valuation

Estimated value
€2.80m
Model range
€1.79m–€3.81m
Confidence
67%
Season change
−4.2%

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 threat59
  • Chance creation22
  • Finishing9
  • Defending5
  • Availability55

Per 90, percentile ranked

  • Goals0.15
  • Assists0.08
  • Shots3.0
  • Shots on target0.8
  • Key passes1.2
  • Expected goals0.20
  • Expected assists0.09
  • Tackles0.0
  • Interceptions0.0
  • Clearances0.0

Above average goal threat forward (59th percentile). Defending is the clear gap at the 5th percentile. Played 55% of available minutes.

Season

Appearances
15
Minutes
1187
Goals / assists
2 / 1
Availability
55%

Key strengths

  • No standout axis in this dataNothing clears the 80th percentile among positional peers on the metrics we carry.

Key risks and limitations

  • Finishing is a clear weakness9th percentile among FWDs in this division
  • Defending is a clear weakness5th percentile among FWDs in this division

Valuation history

Samir Ekstrom index by matchweek

Comparable players

PlayerSimilarityValueAge
Tomas NakamuraJarrowgate87%€13.6m31
Hugo YilmazCalderbrook80%€9.42m24
Goran ArdalBrackenford79%€59.4m20
Viktor OkaforCalderbrook78%€514k29
Tomas RasmussenEastmarsh75%€32.4m21

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
67%of 72% ceiling
Sample
1187 min · 15 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.