Player report
Gabriel Barros
FWD · Ashcombe · Demo Premier League · 20 years · Portugal
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 threat19
- Chance creation12
- Finishing66
- Defending31
- Availability90
Per 90, percentile ranked
- Goals0.10
- Assists0.10
- Shots2.7
- Shots on target0.6
- Key passes0.9
- Expected goals0.09
- Expected assists0.11
- Tackles0.3
- Interceptions0.1
- Clearances0.4
Above average finishing forward (66th percentile). Chance creation is the clear gap at the 12th percentile.
Season
Key strengths
- Elite volume of yellow cards0.00 per 90, 90th percentile
Key risks and limitations
- Goal threat is a clear weakness19th percentile among FWDs in this division
- Chance creation is a clear weakness12th percentile among FWDs in this division
Valuation history
Comparable players
| Player | Similarity | Value | Age |
|---|---|---|---|
| Omar ToureenDeepdale Vale | 89% | €2.53m | 18 |
| Diogo VasquezLangmere | 82% | €754k | 33 |
| Jonas LindqvistMarsden Cross | 82% | €2.43m | 23 |
| Idris IbarraFallowfield | 81% | €15.5m | 24 |
| Omar UgarteKelsford | 79% | €9.46m | 30 |
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
- 64%of 72% ceiling
- Sample
- 1771 min · 21 apps
- Last fixture
- 23 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.