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Player report

Samir Quintana

DEF · Ilkeston Park · Demo Premier League · 28 years · Croatia

Valuation

Estimated value
€10.7m
Model range
€6.30m–€15.1m
Confidence
58%
Season change
+5.6%

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 threat60
  • Chance creation94
  • Finishing46
  • Defending65
  • Availability55

Per 90, percentile ranked

  • Goals0.00
  • Assists0.23
  • Shots0.9
  • Shots on target0.0
  • Key passes0.7
  • Expected goals0.01
  • Expected assists0.16
  • Tackles2.5
  • Interceptions1.4
  • Clearances2.9

Elite chance creation defender (94th percentile), with above average defending (65th). Played 54% of available minutes.

Season

Appearances
14
Minutes
1156
Goals / assists
0 / 3
Availability
54%

Key strengths

  • Chance creation is a clear strength94th percentile among DEFs in this division
  • Elite volume of key passes0.70 per 90, 96th percentile

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

Samir Quintana index by matchweek

Comparable players

PlayerSimilarityValueAge
Idris GallagherPendlebury91%€4.41m20
Zeki JansenOakhurst86%€10.4m23
Rafael HalvorsenRookwood81%€11.4m20
Lucas SalvatoreGranthorpe79%€4.04m23
Tomas ArdalHollinwell78%€4.03m23

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
1156 min · 14 apps
Last fixture
16 Jan

Percentiles are taken against DEFs 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.