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Player report

Samir Grimaldi

MID · Pendlebury · Demo Premier League · 27 years · Japan

Valuation

Estimated value
€4.65m
Model range
€3.10m–€6.20m
Confidence
72%
Season change
+3.8%

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 threat67
  • Chance creation47
  • Finishing7
  • Defending33
  • Availability72

Per 90, percentile ranked

  • Goals0.14
  • Assists0.07
  • Shots1.8
  • Shots on target0.4
  • Key passes0.9
  • Expected goals0.19
  • Expected assists0.07
  • Tackles1.2
  • Interceptions0.9
  • Clearances1.5

Above average goal threat midfielder (67th percentile). Finishing is the clear gap at the 7th percentile. Played 59% of available minutes.

Season

Appearances
16
Minutes
1269
Goals / assists
2 / 1
Availability
59%

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 weakness7th percentile among MIDs in this division

Valuation history

Samir Grimaldi index by matchweek

Comparable players

PlayerSimilarityValueAge
Hugo EkstromBrackenford83%€15.3m24
Kai XimenesFallowfield83%€4.16m20
Emil PereiraKelsford83%€48.0m26
Pedro FontaineMarsden Cross81%€2.94m34
Lucas OkaforBrackenford80%€12.1m21

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
72%of 72% ceiling
Sample
1269 min · 16 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.