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Player report

Noah Brennan

MID · Deepdale Vale · Demo Premier League · 30 years · Sweden

Valuation

Estimated value
€1.85m
Model range
€1.23m–€2.47m
Confidence
72%
Season change
−2.7%

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 threat13
  • Chance creation24
  • Finishing46
  • Defending12
  • Availability63

Per 90, percentile ranked

  • Goals0.00
  • Assists0.00
  • Shots1.7
  • Shots on target0.1
  • Key passes0.7
  • Expected goals0.01
  • Expected assists0.03
  • Tackles1.0
  • Interceptions0.6
  • Clearances1.0

Well-rounded midfielder without a standout axis in this data — no category clears the 46th percentile among positional peers. Played 54% of available minutes.

Season

Appearances
16
Minutes
1162
Goals / assists
0 / 0
Availability
54%

Key strengths

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

Key risks and limitations

  • Goal threat is a clear weakness13th percentile among MIDs in this division
  • Defending is a clear weakness12th percentile among MIDs in this division

Valuation history

Noah Brennan index by matchweek

Comparable players

PlayerSimilarityValueAge
Elias IbarraRookwood86%€425k34
Hugo YilmazPendlebury82%€2.47m26
Felix ToureenDeepdale Vale80%€2.88m28
Bruno MoreauDeepdale Vale80%€564k23
Andre IvesEastmarsh80%€715k27

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
1162 min · 16 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.