RankquantRQ
Bonnet-Ponson Jules Bonnet Blanc de Noirs Extra Brut Champagne Premier Cru
3
global pct
79.1

Sparkling · Champagne Premier Cru · França

Bonnet-Ponson Jules Bonnet Blanc de Noirs Extra Brut Champagne Premier Cru

Scored from 67 calibrated Vivino reviewers, each re-centered on their own rating baseline before the bottle is ranked. Cohort: Sparkling · França (176 wines).

79.1%
Global percentile
vs. all 69,234 ranked wines
48.0%
In-cohort percentile
Sparkling · França · 176 wines
78.3%
AI-adjusted percentile
67 calibrated reviewers, thin samples pulled to the mean

Find this wine: view on Vivino · compare prices on Wine-Searcher

Summary

Bonnet-Ponson Jules Bonnet Blanc de Noirs Extra Brut Champagne Premier Cru is a sparkling wine from Champagne Premier Cru, France.

67 Vivino reviewers rate with enough spread for a personal baseline to be measured, and those are the ones the calibrated score reads; a separate, broader pool of 68 reviewers with at least two ratings each feeds the raw-average track. The cohort it is ranked inside holds 176 French sparkling wines.

How the score was built

We compare the reviewers of this bottle against every other wine those same people reviewed. Each review is scored relative to the reviewer's own baseline — four stars from someone who hands out fives means something very different from four stars from someone who rarely goes above three. Every reviewer then counts the same, so the result is a calibrated consensus rather than a star average.

Global percentile
Where Bonnet-Ponson Jules Bonnet Blanc de Noirs Extra Brut Champagne Premier Cru lands against every wine we rank.
In-cohort percentile
The same comparison narrowed to its cohort — wines of the same type from the same country. A Chilean red is judged against Chilean reds, not against Champagne. Ranked against Sparkling · França (176 wines).
AI-adjusted percentile
The same reviewer-normalized score, corrected for how much confidence the sample supports: thin samples are pulled toward the corpus average. Each wine keeps the share n / (n + 53) of its measured distance from the average, where n is its calibrated-reviewer count, and the result is ranked on the same scale as the global percentile.53 is the median sample size across everything we rank. Here n is 67.