Player report
Yusuf Zielinski
FWD · Deepdale Vale · Demo Premier League · 22 years · Croatia
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 threat22
- Chance creation60
- Finishing13
- Defending73
- Availability48
Per 90, percentile ranked
- Goals0.08
- Assists0.25
- Shots2.6
- Shots on target0.6
- Key passes1.2
- Expected goals0.10
- Expected assists0.22
- Tackles0.5
- Interceptions0.7
- Clearances0.6
Above average defending forward (73th percentile), with above average chance creation (60th). Finishing is the clear gap at the 13th percentile. Availability is the headline risk: 49% of available minutes played.
Season
Key strengths
- Elite volume of interceptions0.68 per 90, 94th percentile
Key risks and limitations
- Finishing is a clear weakness13th percentile among FWDs in this division
- Availability is the headline risk49% of available minutes; 11 matchweeks missed
Valuation history
Comparable players
| Player | Similarity | Value | Age |
|---|---|---|---|
| Omar AbbottMarsden Cross | 84% | €17.5m | 25 |
| Lucas OkaforAshcombe | 82% | €527k | 32 |
| Yusuf ChevalierJarrowgate | 81% | €5.38m | 18 |
| Elias AbbottQuarrydale | 80% | €12.0m | 33 |
| Emil AbbottAshcombe | 79% | €8.07m | 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
- 53%of 72% ceiling
- Sample
- 1059 min · 13 apps
- Last fixture
- 9 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.