Player report
Viktor Farrow
GK · Brackenford · Demo Premier League · 26 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
- Shot stopping54
- Defending56
- Chance creation31
- Availability30
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
- Clearances1.0
- Saves4.3
- Goals conceded1.3
Above average defending goalkeeper (56th percentile). Availability is the headline risk: 29% 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
- Availability is the headline risk29% of available minutes; 17 matchweeks missed
- Small sample630 minutes across 7 appearances. Percentiles are published but thinly evidenced.
Valuation history
Comparable players
| Player | Similarity | Value | Age |
|---|---|---|---|
| Wilson MoreauMarsden Cross | 94% | €19.1m | 24 |
| Viktor GrimaldiMarsden Cross | 94% | €3.70m | 21 |
| Pedro ZielinskiKelsford | 93% | €22.7m | 18 |
| Rafael FontaineGranthorpe | 92% | €6.53m | 24 |
| Pedro IbarraJarrowgate | 92% | €2.51m | 21 |
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
- 49%of 72% ceiling
- Sample
- 630 min · 7 apps
- Last fixture
- 2 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.