Player report
Goran Ives
DEF · Jarrowgate · Demo Premier League · 23 years · Sweden
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 threat88
- Chance creation39
- Finishing82
- Defending58
- Availability64
Per 90, percentile ranked
- Goals0.14
- Assists0.00
- Shots0.9
- Shots on target0.2
- Key passes0.1
- Expected goals0.12
- Expected assists0.01
- Tackles2.2
- Interceptions1.8
- Clearances2.4
Strong goal threat defender (88th percentile), with strong finishing (82th). Played 60% of available minutes.
Season
Key strengths
- Goal threat is a clear strength88th percentile among DEFs in this division
- Finishing is a clear strength82th percentile among DEFs in this division
Key risks and limitations
- No statistical red flags in the data we holdThis is not the same as no risk: we hold no contract, injury, wage or transfer data, and nobody has watched the player.
Valuation history
Comparable players
| Player | Similarity | Value | Age |
|---|---|---|---|
| Andre ToureenGranthorpe | 89% | €20.7m | 20 |
| Gabriel HalvorsenHollinwell | 82% | €1.28m | 20 |
| Mateo EriksenStanmoor | 82% | €857k | 30 |
| Emil JokinenJarrowgate | 81% | €1.50m | 34 |
| Omar VasquezDeepdale Vale | 80% | €1.35m | 29 |
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
- 72%of 72% ceiling
- Sample
- 1304 min · 15 apps
- Last fixture
- 23 Jan
Percentiles are taken against DEFs 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.