Player report
Goran Abbott
GK · Pendlebury · Demo Premier League · 22 years · Brazil
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
- Shot stopping1
- Defending89
- Chance creation31
- Availability21
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
- Clearances1.4
- Saves5.4
- Goals conceded3.2
Strong defending goalkeeper (89th percentile). Shot stopping is the clear gap at the 1th percentile. Availability is the headline risk: 21% of available minutes played.
Season
Key strengths
- Defending is a clear strength89th percentile among GKs in this division
- Elite volume of saves5.40 per 90, 99th percentile
Key risks and limitations
- Shot stopping is a clear weakness1th percentile among GKs in this division
- Availability is the headline risk21% of available minutes; 19 matchweeks missed
- Small sample450 minutes across 5 appearances. Percentiles are published but thinly evidenced.
- Low model confidence32% against a ceiling of 72%. The valuation range is correspondingly wide.
Valuation history
Comparable players
| Player | Similarity | Value | Age |
|---|---|---|---|
| Felix IvesDeepdale Vale | 97% | €195k | 35 |
| Adam HaugenBrackenford | 93% | €12.1m | 22 |
| Viktor GrimaldiMarsden Cross | 91% | €3.70m | 21 |
| Viktor FarrowBrackenford | 84% | €1.69m | 26 |
| Rafael FontaineGranthorpe | 82% | €6.53m | 24 |
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
- 32%of 72% ceiling
- Sample
- 450 min · 5 apps
- Last fixture
- 16 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.