Player report
Dmitri Toureen
MID · Hollinwell · Demo Premier League · 29 years · Scotland
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 threat76
- Chance creation82
- Finishing72
- Defending79
- Availability2
Per 90, percentile ranked
- Goals0.31
- Assists0.31
- Shots1.8
- Shots on target0.3
- Key passes0.6
- Expected goals0.28
- Expected assists0.23
- Tackles1.5
- Interceptions1.2
- Clearances2.2
Strong chance creation midfielder (82th percentile), with strong defending (79th). Availability is the headline risk: 14% of available minutes played.
Season
Key strengths
- Chance creation is a clear strength82th percentile among MIDs in this division
- Elite volume of assists0.31 per 90, 94th percentile
Key risks and limitations
- Availability is the headline risk14% of available minutes; 19 matchweeks missed
- Small sample293 minutes across 5 appearances. Percentiles are published but thinly evidenced.
- Low model confidence39% against a ceiling of 72%. The valuation range is correspondingly wide.
Valuation history
Comparable players
| Player | Similarity | Value | Age |
|---|---|---|---|
| Samir NakamuraBrackenford | 80% | €4.67m | 29 |
| Jonas HalvorsenFallowfield | 76% | €28.3m | 26 |
| Pedro YilmazIlkeston Park | 76% | €36.2m | 22 |
| Zeki NakamuraKelsford | 76% | €5.88m | 34 |
| 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
- 39%of 72% ceiling
- Sample
- 293 min · 5 apps
- Last fixture
- 23 Jan
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.