Player report
Adam Ives
FWD · Northfleet · Demo Premier League · 20 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
- Goal threat67
- Chance creation20
- Finishing99
- Defending79
- Availability53
Per 90, percentile ranked
- Goals0.46
- Assists0.15
- Shots2.5
- Shots on target0.9
- Key passes0.9
- Expected goals0.30
- Expected assists0.13
- Tackles0.8
- Interceptions0.5
- Clearances0.6
Elite finishing forward (99th percentile), with strong defending (79th). Chance creation is the clear gap at the 20th percentile. Played 54% of available minutes.
Season
Key strengths
- Finishing is a clear strength99th percentile among FWDs in this division
- Elite volume of tackles0.77 per 90, 90th percentile
Key risks and limitations
- Chance creation is a clear weakness20th percentile among FWDs in this division
Valuation history
Comparable players
| Player | Similarity | Value | Age |
|---|---|---|---|
| Diogo JokinenThorneside | 84% | €3.63m | 34 |
| Wilson AbbottLangmere | 76% | €4.25m | 32 |
| Lucas FarrowThorneside | 76% | €2.84m | 32 |
| Adam ToureenThorneside | 76% | €3.40m | 20 |
| Wilson XimenesCalderbrook | 74% | €42.2m | 27 |
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
- 71%of 72% ceiling
- Sample
- 1174 min · 16 apps
- Last fixture
- 23 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.