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Player report

Adam Ibarra

FWD · Hollinwell · Demo Premier League · 30 years · Nigeria

Valuation

Estimated value
€5.08m
Model range
€3.35m–€6.80m
Confidence
71%
Season change
+2.2%

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 threat48
  • Chance creation61
  • Finishing11
  • Defending67
  • Availability60

Per 90, percentile ranked

  • Goals0.15
  • Assists0.22
  • Shots2.6
  • Shots on target0.9
  • Key passes1.5
  • Expected goals0.18
  • Expected assists0.17
  • Tackles0.5
  • Interceptions0.4
  • Clearances1.1

Above average defending forward (67th percentile), with above average chance creation (61th). Finishing is the clear gap at the 11th percentile. Played 57% of available minutes.

Season

Appearances
16
Minutes
1230
Goals / assists
2 / 3
Availability
57%

Key strengths

  • Elite volume of clearances1.10 per 90, 98th percentile

Key risks and limitations

  • Finishing is a clear weakness11th percentile among FWDs in this division

Valuation history

Adam Ibarra index by matchweek

Comparable players

PlayerSimilarityValueAge
Goran OkaforIlkeston Park79%€48.0m23
Lucas MoreauRookwood79%€42.1m19
Finn ArdalPendlebury78%€2.22m32
Samir DahlbergThorneside78%€23.6m29
Adam ToureenThorneside78%€3.40m20

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
1230 min · 16 apps
Last fixture
16 Jan

Percentiles are taken against FWDs 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.