Player report
Cillian Zielinski
FWD · Stanmoor · Demo Premier League · 25 years · Ireland
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 threat15
- Chance creation81
- Finishing1
- Defending40
- Availability78
Per 90, percentile ranked
- Goals0.00
- Assists0.23
- Shots2.9
- Shots on target0.6
- Key passes1.8
- Expected goals0.03
- Expected assists0.19
- Tackles0.3
- Interceptions0.1
- Clearances0.8
Strong chance creation forward (81th percentile). Finishing is the clear gap at the 1th percentile. Played 72% of available minutes.
Season
Key strengths
- Chance creation is a clear strength81th percentile among FWDs in this division
Key risks and limitations
- Goal threat is a clear weakness15th percentile among FWDs in this division
- Finishing is a clear weakness1th percentile among FWDs in this division
Valuation history
Comparable players
| Player | Similarity | Value | Age |
|---|---|---|---|
| Bruno ToureenCalderbrook | 78% | €992k | 22 |
| Adam IbarraHollinwell | 76% | €5.08m | 30 |
| Felix EkstromGranthorpe | 74% | €17.2m | 21 |
| Idris OkaforJarrowgate | 74% | €37.1m | 18 |
| Omar AbbottMarsden Cross | 73% | €17.5m | 25 |
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
- 1546 min · 19 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.