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Player report

Dmitri Pereira

MID · Calderbrook · Demo Premier League · 21 years · Scotland

Valuation

Estimated value
€1.16m
Model range
€626k–€1.70m
Confidence
49%
Season change
−3.1%

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 threat42
  • Chance creation43
  • Finishing73
  • Defending62
  • Availability40

Per 90, percentile ranked

  • Goals0.13
  • Assists0.13
  • Shots1.6
  • Shots on target0.4
  • Key passes0.5
  • Expected goals0.11
  • Expected assists0.11
  • Tackles1.6
  • Interceptions0.9
  • Clearances1.6

Above average finishing midfielder (73th percentile), with above average defending (62th). Availability is the headline risk: 32% of available minutes played.

Season

Appearances
12
Minutes
690
Goals / assists
1 / 1
Availability
32%

Key strengths

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

Key risks and limitations

  • Availability is the headline risk32% of available minutes; 12 matchweeks missed
  • Small sample690 minutes across 12 appearances. Percentiles are published but thinly evidenced.

Valuation history

Dmitri Pereira index by matchweek

Comparable players

PlayerSimilarityValueAge
Goran FontaineGranthorpe85%€8.19m20
Bruno IbarraHollinwell84%€21.0m28
Yusuf GallagherCalderbrook82%€15.2m32
Rafael CastileEastmarsh80%€1.15m22
Samir BrennanQuarrydale80%€610k32

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
49%of 72% ceiling
Sample
690 min · 12 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.