Player report
Bertrand Farrow
MID · Pendlebury · Demo Premier League · 22 years · Nigeria
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 threat68
- Chance creation9
- Finishing26
- Defending13
- Availability34
Per 90, percentile ranked
- Goals0.27
- Assists0.00
- Shots1.2
- Shots on target0.4
- Key passes0.5
- Expected goals0.29
- Expected assists0.03
- Tackles1.0
- Interceptions0.8
- Clearances0.8
Above average goal threat midfielder (68th percentile). Chance creation is the clear gap at the 9th percentile. Availability is the headline risk: 31% of available minutes played.
Season
Key strengths
- No standout axis in this dataNothing clears the 80th percentile among positional peers on the metrics we carry.
Key risks and limitations
- Defending is a clear weakness13th percentile among MIDs in this division
- Chance creation is a clear weakness9th percentile among MIDs in this division
- Availability is the headline risk31% of available minutes; 14 matchweeks missed
- Small sample660 minutes across 10 appearances. Percentiles are published but thinly evidenced.
Valuation history
Comparable players
| Player | Similarity | Value | Age |
|---|---|---|---|
| Wilson GrimaldiGranthorpe | 82% | €12.9m | 25 |
| Viktor NakamuraStanmoor | 80% | €31.9m | 22 |
| Andre FontaineThorneside | 79% | €297k | 35 |
| Viktor BrennanKelsford | 78% | €1.23m | 35 |
| Caleb ZielinskiLangmere | 75% | €10.9m | 34 |
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
- 660 min · 10 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.