Player report
Tomas Rasmussen
FWD · Eastmarsh · Demo Premier League · 21 years · Denmark
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 threat84
- Chance creation31
- Finishing7
- Defending32
- Availability47
Per 90, percentile ranked
- Goals0.35
- Assists0.09
- Shots2.8
- Shots on target0.9
- Key passes1.3
- Expected goals0.46
- Expected assists0.10
- Tackles0.3
- Interceptions0.0
- Clearances0.4
Strong goal threat forward (84th percentile). Finishing is the clear gap at the 7th percentile. Availability is the headline risk: 48% of available minutes played.
Season
Key strengths
- Goal threat is a clear strength84th percentile among FWDs in this division
Key risks and limitations
- Finishing is a clear weakness7th percentile among FWDs in this division
- Availability is the headline risk48% of available minutes; 11 matchweeks missed
Valuation history
Comparable players
| Player | Similarity | Value | Age |
|---|---|---|---|
| Hugo YilmazCalderbrook | 89% | €9.42m | 24 |
| Goran ArdalBrackenford | 87% | €59.4m | 20 |
| Pedro LindqvistOakhurst | 85% | €2.53m | 18 |
| Omar ToureenKelsford | 83% | €39.8m | 26 |
| Wilson AbbottLangmere | 82% | €4.25m | 32 |
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
- 49%of 72% ceiling
- Sample
- 1029 min · 13 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.