Player report
Pedro Zielinski
MID · Eastmarsh · Demo Premier League · 18 years · Germany
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 threat100
- Chance creation84
- Finishing98
- Defending94
- Availability20
Per 90, percentile ranked
- Goals0.78
- Assists0.20
- Shots2.5
- Shots on target1.2
- Key passes1.2
- Expected goals0.53
- Expected assists0.16
- Tackles1.6
- Interceptions1.6
- Clearances2.5
Elite goal threat midfielder (100th percentile), with elite finishing (98th). Availability is the headline risk: 21% of available minutes played.
Season
Key strengths
- Goal threat is a clear strength100th percentile among MIDs in this division
- Finishing is a clear strength98th percentile among MIDs in this division
- Defending is a clear strength94th percentile among MIDs in this division
- Elite volume of goals0.78 per 90, 100th percentile
Key risks and limitations
- Availability is the headline risk21% of available minutes; 17 matchweeks missed
- Small sample459 minutes across 7 appearances. Percentiles are published but thinly evidenced.
Valuation history
Comparable players
| Player | Similarity | Value | Age |
|---|---|---|---|
| Andre EkstromLangmere | 84% | €1.25m | 26 |
| Viktor FontaineRookwood | 82% | €16.2m | 32 |
| Caleb LindqvistIlkeston Park | 81% | €5.01m | 30 |
| Caleb PereiraFallowfield | 75% | €30.7m | 29 |
| Wilson ChevalierRookwood | 75% | €941k | 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
- 46%of 72% ceiling
- Sample
- 459 min · 7 apps
- Last fixture
- 26 Dec
Percentiles are taken against MIDs 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.