Player report
Goran Ives
DEF · Brackenford · Demo Premier League · 24 years · Nigeria
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 threat92
- Chance creation36
- Finishing89
- Defending30
- Availability31
Per 90, percentile ranked
- Goals0.27
- Assists0.00
- Shots0.7
- Shots on target0.3
- Key passes0.0
- Expected goals0.21
- Expected assists0.01
- Tackles2.3
- Interceptions1.2
- Clearances2.1
Elite goal threat defender (92th percentile), with strong finishing (89th). Availability is the headline risk: 31% of available minutes played.
Season
Key strengths
- Goal threat is a clear strength92th percentile among DEFs in this division
- Finishing is a clear strength89th percentile among DEFs in this division
- Elite volume of yellow cards0.00 per 90, 95th percentile
Key risks and limitations
- Availability is the headline risk31% of available minutes; 13 matchweeks missed
- Small sample679 minutes across 11 appearances. Percentiles are published but thinly evidenced.
Valuation history
Comparable players
| Player | Similarity | Value | Age |
|---|---|---|---|
| Zeki GrimaldiIlkeston Park | 84% | €962k | 32 |
| Dmitri DelgadoAshcombe | 83% | €241k | 34 |
| Gabriel HalvorsenHollinwell | 80% | €1.28m | 20 |
| Dmitri NakamuraHollinwell | 78% | €268k | 30 |
| Goran IvesJarrowgate | 78% | €3.09m | 23 |
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
- 52%of 72% ceiling
- Sample
- 679 min · 11 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.