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Player report

Zeki Grimaldi

DEF · Ilkeston Park · Demo Premier League · 32 years · Nigeria

Valuation

Estimated value
€962k
Model range
€640k–€1.28m
Confidence
72%
Season change
−3.5%

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 creation31
  • Finishing93
  • Defending64
  • Availability65

Per 90, percentile ranked

  • Goals0.21
  • Assists0.00
  • Shots0.3
  • Shots on target0.2
  • Key passes0.0
  • Expected goals0.15
  • Expected assists0.01
  • Tackles2.6
  • Interceptions1.6
  • Clearances2.1

Elite finishing defender (93th percentile), with strong goal threat (79th). Played 61% of available minutes.

Season

Appearances
17
Minutes
1311
Goals / assists
3 / 0
Availability
61%

Key strengths

  • Finishing is a clear strength93th percentile among DEFs in this division
  • Elite volume of goals0.21 per 90, 92th percentile

Key risks and limitations

  • No statistical red flags in the data we holdThis is not the same as no risk: we hold no contract, injury, wage or transfer data, and nobody has watched the player.

Valuation history

Zeki Grimaldi index by matchweek

Comparable players

PlayerSimilarityValueAge
Adam DelgadoJarrowgate87%€617k28
Goran IvesBrackenford84%€1.32m24
Goran IvesJarrowgate80%€3.09m23
Andre ToureenGranthorpe79%€20.7m20
Caleb JokinenKelsford77%€6.64m26

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
72%of 72% ceiling
Sample
1311 min · 17 apps
Last fixture
23 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.

Generated from data covering 24 matchweeks. Model 0.3.0-uncalibrated. Values are model estimates on an uncalibrated scale and are not transfer fees.