Player report
Wilson Chevalier
MID · Rookwood · Demo Premier League · 23 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 threat79
- Chance creation69
- Finishing88
- Defending68
- Availability23
Per 90, percentile ranked
- Goals0.35
- Assists0.18
- Shots1.6
- Shots on target0.5
- Key passes0.9
- Expected goals0.26
- Expected assists0.14
- Tackles1.2
- Interceptions1.2
- Clearances2.1
Strong finishing midfielder (88th percentile), with strong goal threat (79th). Availability is the headline risk: 24% of available minutes played.
Season
Key strengths
- Finishing is a clear strength88th percentile among MIDs in this division
- Elite volume of goals0.35 per 90, 94th percentile
Key risks and limitations
- Availability is the headline risk24% of available minutes; 16 matchweeks missed
- Small sample513 minutes across 8 appearances. Percentiles are published but thinly evidenced.
- Low model confidence41% against a ceiling of 72%. The valuation range is correspondingly wide.
Valuation history
Comparable players
| Player | Similarity | Value | Age |
|---|---|---|---|
| Zeki LindqvistIlkeston Park | 85% | €2.36m | 30 |
| Tomas DelgadoNorthfleet | 83% | €1.32m | 21 |
| Viktor FontaineRookwood | 81% | €16.2m | 32 |
| Adam XimenesNorthfleet | 80% | €20.2m | 24 |
| Samir NakamuraBrackenford | 79% | €4.67m | 29 |
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
- 41%of 72% ceiling
- Sample
- 513 min · 8 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.