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Player report

Pedro Toureen

GK · Stanmoor · Demo Premier League · 30 years · Germany

Valuation

Estimated value
€20.8m
Model range
€12.2m–€29.3m
Confidence
58%
Season change
+32.9%

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

  • Shot stopping37
  • Defending29
  • Chance creation31
  • Availability87

Per 90, percentile ranked

  • Goals0.00
  • Assists0.00
  • Shots0.0
  • Shots on target0.0
  • Key passes0.0
  • Expected goals0.00
  • Expected assists0.00
  • Tackles0.0
  • Interceptions0.0
  • Clearances0.9
  • Saves4.4
  • Goals conceded1.5

Well-rounded goalkeeper without a standout axis in this data — no category clears the 37th percentile among positional peers.

Season

Appearances
22
Minutes
1980
Goals / assists
0 / 0
Availability
92%

Key strengths

  • Consistently available92% of available minutes, 22 starts

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

Pedro Toureen index by matchweek

Comparable players

PlayerSimilarityValueAge
Pedro ZielinskiKelsford97%€22.7m18
Pedro IbarraJarrowgate96%€2.51m21
Rafael FontaineGranthorpe95%€6.53m24
Pedro WhitlockHollinwell92%€5.53m23
Omar ZielinskiAshcombe91%€772k27

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
1980 min · 22 apps
Last fixture
23 Jan

Percentiles are taken against GKs 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.