Search players

Find a player by name, club or ticker

Player report

Noah Haugen

MID · Stanmoor · Demo Premier League · 25 years · Scotland

Valuation

Estimated value
€4.11m
Model range
€2.74m–€5.48m
Confidence
72%
Season change
+6.2%

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 threat31
  • Chance creation32
  • Finishing0
  • Defending47
  • Availability67

Per 90, percentile ranked

  • Goals0.08
  • Assists0.00
  • Shots1.6
  • Shots on target0.2
  • Key passes0.8
  • Expected goals0.12
  • Expected assists0.05
  • Tackles1.6
  • Interceptions0.8
  • Clearances1.4

Well-rounded midfielder without a standout axis in this data — no category clears the 47th percentile among positional peers. Played 55% of available minutes.

Season

Appearances
17
Minutes
1196
Goals / assists
1 / 0
Availability
55%

Key strengths

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

Key risks and limitations

  • Finishing is a clear weakness0th percentile among MIDs in this division

Valuation history

Noah Haugen index by matchweek

Comparable players

PlayerSimilarityValueAge
Samir BrennanQuarrydale83%€610k32
Andre BrennanBrackenford81%€24.4m24
Viktor XimenesQuarrydale81%€644k29
Viktor BrennanKelsford80%€1.23m35
Adam PereiraAshcombe79%€5.28m31

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
72%of 72% ceiling
Sample
1196 min · 17 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.