Player report
Bertrand Delgado
DEF · Kelsford · Demo Premier League · 20 years · Portugal
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 threat71
- Chance creation58
- Finishing86
- Defending15
- Availability42
Per 90, percentile ranked
- Goals0.10
- Assists0.00
- Shots0.7
- Shots on target0.1
- Key passes0.4
- Expected goals0.08
- Expected assists0.02
- Tackles1.7
- Interceptions1.5
- Clearances1.6
Strong finishing defender (86th percentile), with above average goal threat (71th). Defending is the clear gap at the 15th percentile. Availability is the headline risk: 43% of available minutes played.
Season
Key strengths
- Finishing is a clear strength86th percentile among DEFs in this division
Key risks and limitations
- Defending is a clear weakness15th percentile among DEFs in this division
- Availability is the headline risk43% of available minutes; 11 matchweeks missed
Valuation history
Comparable players
| Player | Similarity | Value | Age |
|---|---|---|---|
| Lucas ToureenMarsden Cross | 86% | €510k | 30 |
| Zeki EkstromQuarrydale | 83% | €1.08m | 35 |
| Cillian XimenesIlkeston Park | 82% | €7.54m | 29 |
| Finn HalvorsenAshcombe | 80% | €4.74m | 29 |
| Omar VasquezDeepdale Vale | 80% | €1.35m | 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
- 69%of 72% ceiling
- Sample
- 930 min · 13 apps
- Last fixture
- 16 Jan
Percentiles are taken against DEFs 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.