Player report
Hugo Ibarra
MID · Rookwood · Demo Premier League · 25 years · Japan
Valuation
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 threat5
- Chance creation1
- Finishing46
- Defending8
- Availability0
Per 90, percentile ranked
Not enough minutes to rank against positional peers yet.
Well-rounded midfielder without a standout axis in this data — no category clears the 46th percentile among positional peers. Availability is the headline risk: 11% of available minutes played.
Season
Key strengths
- No standout axis in this dataNothing clears the 80th percentile among positional peers on the metrics we carry.
Key risks and limitations
- Defending is a clear weakness8th percentile among MIDs in this division
- Goal threat is a clear weakness5th percentile among MIDs in this division
- Chance creation is a clear weakness1th percentile among MIDs in this division
- Availability is the headline risk11% of available minutes; 19 matchweeks missed
- Too few minutes to rank against peers229 minutes, below the 270-minute floor. Rates are shown but carry no percentile.
Valuation history
Comparable players
| Player | Similarity | Value | Age |
|---|---|---|---|
| Adam PereiraAshcombe | 0% | €5.28m | 31 |
| Andre EriksenAshcombe | 0% | €5.17m | 28 |
| Finn MoreauAshcombe | 0% | €294k | 29 |
| Zeki DelgadoAshcombe | 0% | €2.02m | 19 |
| Jonas BrennanAshcombe | 0% | €4.01m | 22 |
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
- 29%of 72% ceiling
- Sample
- 229 min · 5 apps
- Last fixture
- 12 Dec
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.