Player report
Tomas Rasmussen
FWD · Northfleet · Demo Premier League · 30 years · Japan
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 threat90
- Chance creation48
- Finishing27
- Defending93
- Availability10
Per 90, percentile ranked
- Goals0.54
- Assists0.18
- Shots3.2
- Shots on target0.7
- Key passes1.3
- Expected goals0.56
- Expected assists0.16
- Tackles0.5
- Interceptions0.9
- Clearances0.7
Elite defending forward (93th percentile), with elite goal threat (90th). Finishing is the clear gap at the 27th percentile. Availability is the headline risk: 23% of available minutes played.
Season
Key strengths
- Defending is a clear strength93th percentile among FWDs in this division
- Goal threat is a clear strength90th percentile among FWDs in this division
- Elite volume of interceptions0.90 per 90, 98th percentile
Key risks and limitations
- Availability is the headline risk23% of available minutes; 15 matchweeks missed
- Small sample501 minutes across 9 appearances. Percentiles are published but thinly evidenced.
Valuation history
Comparable players
| Player | Similarity | Value | Age |
|---|---|---|---|
| Omar DahlbergNorthfleet | 81% | €137k | 35 |
| Diogo WhitlockLangmere | 79% | €179k | 32 |
| Samir JokinenMarsden Cross | 78% | €46.5m | 25 |
| Adam XimenesBrackenford | 76% | €42.2m | 25 |
| Wilson XimenesCalderbrook | 75% | €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
- 45%of 72% ceiling
- Sample
- 501 min · 9 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.