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Player report

Noah Chevalier

DEF · Calderbrook · Demo Premier League · 29 years · Netherlands

Valuation

Estimated value
€1.95m
Model range
€1.29m–€2.61m
Confidence
71%
Season change
+5.2%

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 threat8
  • Chance creation10
  • Finishing46
  • Defending8
  • Availability52

Per 90, percentile ranked

  • Goals0.00
  • Assists0.00
  • Shots0.0
  • Shots on target0.0
  • Key passes0.0
  • Expected goals0.00
  • Expected assists0.00
  • Tackles1.6
  • Interceptions1.1
  • Clearances2.7

Well-rounded defender without a standout axis in this data — no category clears the 46th percentile among positional peers. Played 50% of available minutes.

Season

Appearances
14
Minutes
1086
Goals / assists
0 / 0
Availability
50%

Key strengths

  • Elite volume of goals conceded0.66 per 90, 98th percentile

Key risks and limitations

  • Chance creation is a clear weakness10th percentile among DEFs in this division
  • Goal threat is a clear weakness8th percentile among DEFs in this division
  • Defending is a clear weakness8th percentile among DEFs in this division

Valuation history

Noah Chevalier index by matchweek

Comparable players

PlayerSimilarityValueAge
Caleb PereiraKelsford95%€85k33
Adam ChevalierRookwood91%€3.38m30
Emil DelgadoThorneside90%€1.18m35
Jonas UgarteNorthfleet84%€337k30
Yusuf YilmazJarrowgate82%€467k30

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
71%of 72% ceiling
Sample
1086 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.