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Player report

Emil Quintana

MID · Calderbrook · Demo Premier League · 30 years · Norway

Valuation

Estimated value
€19.7m
Model range
€11.6m–€27.8m
Confidence
58%
Season change
+23.0%

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 threat63
  • Chance creation85
  • Finishing85
  • Defending73
  • Availability84

Per 90, percentile ranked

  • Goals0.18
  • Assists0.24
  • Shots1.9
  • Shots on target0.5
  • Key passes1.1
  • Expected goals0.14
  • Expected assists0.18
  • Tackles1.5
  • Interceptions1.2
  • Clearances1.7

Strong chance creation midfielder (85th percentile), with strong finishing (85th). Played 69% of available minutes.

Season

Appearances
18
Minutes
1499
Goals / assists
3 / 4
Availability
69%

Key strengths

  • Chance creation is a clear strength85th percentile among MIDs in this division
  • Finishing is a clear strength85th percentile among MIDs in this division

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

Emil Quintana index by matchweek

Comparable players

PlayerSimilarityValueAge
Emil PereiraKelsford85%€48.0m26
Viktor VasquezKelsford84%€4.22m20
Pedro YilmazIlkeston Park83%€36.2m22
Samir NakamuraBrackenford82%€4.67m29
Noah CastileCalderbrook82%€1.09m34

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
58%of 72% ceiling
Sample
1499 min · 18 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.