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Player report

Adam Pereira

MID · Ashcombe · Demo Premier League · 31 years · Norway

Valuation

Estimated value
€5.28m
Model range
€3.37m–€7.19m
Confidence
67%
Season change
+5.9%

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 threat26
  • Chance creation48
  • Finishing4
  • Defending65
  • Availability74

Per 90, percentile ranked

  • Goals0.07
  • Assists0.07
  • Shots1.5
  • Shots on target0.2
  • Key passes0.8
  • Expected goals0.10
  • Expected assists0.08
  • Tackles1.5
  • Interceptions1.1
  • Clearances1.7

Above average defending midfielder (65th percentile). Finishing is the clear gap at the 4th percentile. Played 59% of available minutes.

Season

Appearances
15
Minutes
1283
Goals / assists
1 / 1
Availability
59%

Key strengths

  • Elite volume of yellow cards0.00 per 90, 91th percentile

Key risks and limitations

  • Finishing is a clear weakness4th percentile among MIDs in this division

Valuation history

Adam Pereira index by matchweek

Comparable players

PlayerSimilarityValueAge
Andre BrennanBrackenford90%€24.4m24
Felix DelgadoGranthorpe87%€38.9m19
Goran FontaineGranthorpe85%€8.19m20
Yusuf GallagherCalderbrook83%€15.2m32
Rafael PereiraPendlebury83%€2.41m31

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
1283 min · 15 apps
Last fixture
16 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.