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Player report

Pedro Ekstrom

DEF · Granthorpe · Demo Premier League · 23 years · Senegal

Valuation

Estimated value
€13.6m
Model range
€8.73m–€18.4m
Confidence
68%
Season change
+14.3%

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 threat27
  • Chance creation56
  • Finishing46
  • Defending62
  • Availability66

Per 90, percentile ranked

  • Goals0.00
  • Assists0.07
  • Shots0.3
  • Shots on target0.0
  • Key passes0.1
  • Expected goals0.00
  • Expected assists0.05
  • Tackles2.5
  • Interceptions1.8
  • Clearances1.8

Above average defending defender (62th percentile), with above average chance creation (56th). Goal threat is the clear gap at the 27th percentile. Played 61% of available minutes.

Season

Appearances
18
Minutes
1315
Goals / assists
0 / 1
Availability
61%

Key strengths

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

Key risks and limitations

  • No statistical red flags in the data we holdThis is not the same as no risk: we hold no contract, injury, wage or transfer data, and nobody has watched the player.

Valuation history

Pedro Ekstrom index by matchweek

Comparable players

PlayerSimilarityValueAge
Lucas CastileDeepdale Vale80%€364k21
Diogo ArdalEastmarsh80%€1.34m28
Viktor VasquezGranthorpe80%€2.27m30
Adam GrimaldiAshcombe79%€495k31
Tomas ArdalHollinwell79%€4.03m23

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
1315 min · 18 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.

Generated from data covering 24 matchweeks. Model 0.3.0-uncalibrated. Values are model estimates on an uncalibrated scale and are not transfer fees.