Player report
Gabriel Halvorsen
FWD · Eastmarsh · Demo Premier League · 18 years · Scotland
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 threat78
- Chance creation1
- Finishing73
- Defending64
- Availability6
Per 90, percentile ranked
- Goals0.19
- Assists0.00
- Shots3.8
- Shots on target0.9
- Key passes0.4
- Expected goals0.16
- Expected assists0.04
- Tackles0.4
- Interceptions0.6
- Clearances0.8
Strong goal threat forward (78th percentile), with above average finishing (73th). Chance creation is the clear gap at the 1th percentile. Availability is the headline risk: 22% of available minutes played.
Season
Key strengths
- Elite volume of shots3.79 per 90, 98th percentile
Key risks and limitations
- Chance creation is a clear weakness1th percentile among FWDs in this division
- Availability is the headline risk22% of available minutes; 16 matchweeks missed
- Small sample475 minutes across 8 appearances. Percentiles are published but thinly evidenced.
- Low model confidence38% against a ceiling of 72%. The valuation range is correspondingly wide.
Valuation history
Comparable players
| Player | Similarity | Value | Age |
|---|---|---|---|
| Tomas LindqvistHollinwell | 78% | €1.81m | 18 |
| Pedro JansenStanmoor | 75% | €10.7m | 32 |
| Zeki GrimaldiCalderbrook | 74% | €2.62m | 24 |
| Viktor ZielinskiIlkeston Park | 72% | €4.00m | 20 |
| Diogo KovacBrackenford | 70% | €11.3m | 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
- 38%of 72% ceiling
- Sample
- 475 min · 8 apps
- Last fixture
- 2 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.