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Player report

Jonas Ekstrom

MID · Deepdale Vale · Demo Premier League · 25 years · Spain

Valuation

Estimated value
€6.34m
Model range
€4.19m–€8.50m
Confidence
71%
Season change
+0.3%

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 threat34
  • Chance creation18
  • Finishing46
  • Defending75
  • Availability68

Per 90, percentile ranked

  • Goals0.00
  • Assists0.00
  • Shots2.0
  • Shots on target0.4
  • Key passes0.7
  • Expected goals0.02
  • Expected assists0.02
  • Tackles1.6
  • Interceptions1.0
  • Clearances2.2

Strong defending midfielder (75th percentile). Chance creation is the clear gap at the 18th percentile. Played 56% of available minutes.

Season

Appearances
14
Minutes
1210
Goals / assists
0 / 0
Availability
56%

Key strengths

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

Key risks and limitations

  • Chance creation is a clear weakness18th percentile among MIDs in this division

Valuation history

Jonas Ekstrom index by matchweek

Comparable players

PlayerSimilarityValueAge
Viktor ArdalQuarrydale83%€1.18m35
Samir BrennanQuarrydale81%€610k32
Wilson EriksenHollinwell77%€726k35
Rafael LindqvistMarsden Cross77%€4.60m30
Jonas GallagherHollinwell76%€3.22m19

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
71%of 72% ceiling
Sample
1210 min · 14 apps
Last fixture
23 Jan

Percentiles are taken against MIDs 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.