Player report
Finn Grimaldi
GK · Ashcombe · Demo Premier League · 35 years · France
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
- Shot stopping19
- Defending73
- Chance creation99
- Availability51
Per 90, percentile ranked
- Goals0.06
- Assists0.06
- Shots0.0
- Shots on target0.0
- Key passes0.1
- Expected goals0.06
- Expected assists0.04
- Tackles0.0
- Interceptions0.0
- Clearances1.3
- Saves4.5
- Goals conceded1.7
Elite chance creation goalkeeper (99th percentile), with above average defending (73th). Shot stopping is the clear gap at the 19th percentile. Played 67% of available minutes.
Season
Key strengths
- Chance creation is a clear strength99th percentile among GKs in this division
- Elite volume of assists0.06 per 90, 99th percentile
Key risks and limitations
- Shot stopping is a clear weakness19th percentile among GKs in this division
Valuation history
Comparable players
| Player | Similarity | Value | Age |
|---|---|---|---|
| Cillian MoreauThorneside | 83% | €8.84m | 33 |
| Pedro AbbottNorthfleet | 80% | €15.8m | 22 |
| Hugo ToureenLangmere | 74% | €14.1m | 18 |
| Lucas YilmazFallowfield | 72% | €14.6m | 32 |
| Rafael JokinenIlkeston Park | 68% | €15.6m | 20 |
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
- 60%of 72% ceiling
- Sample
- 1440 min · 16 apps
- Last fixture
- 23 Jan
Percentiles are taken against GKs 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.