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Player report

Bruno Ibarra

MID · Hollinwell · Demo Premier League · 28 years · Japan

Valuation

Estimated value
€21.0m
Model range
€13.8m–€28.3m
Confidence
70%
Season change
+11.5%

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 threat32
  • Chance creation62
  • Finishing95
  • Defending71
  • Availability98

Per 90, percentile ranked

  • Goals0.19
  • Assists0.19
  • Shots1.2
  • Shots on target0.4
  • Key passes0.7
  • Expected goals0.13
  • Expected assists0.14
  • Tackles1.7
  • Interceptions1.0
  • Clearances1.7

Elite finishing midfielder (95th percentile), with above average defending (71th).

Season

Appearances
23
Minutes
1902
Goals / assists
4 / 4
Availability
88%

Key strengths

  • Finishing is a clear strength95th percentile among MIDs in this division
  • Consistently available88% of available minutes, 21 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

Bruno Ibarra index by matchweek

Comparable players

PlayerSimilarityValueAge
Yusuf GallagherCalderbrook87%€15.2m32
Dmitri PereiraCalderbrook84%€1.16m21
Jonas HalvorsenFallowfield83%€28.3m26
Goran FontaineGranthorpe82%€8.19m20
Cillian DahlbergThorneside80%€1.53m30

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
70%of 72% ceiling
Sample
1902 min · 23 apps
Last fixture
23 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.