RankquantRQ
Pierre Paillard Ludes Premier Cru Vieilles Vignes Meunier Champagne
3
global pct
87.3

Sparkling · シャンパーニュ・プルミエ・クリュ · フランス

Pierre Paillard Ludes Premier Cru Vieilles Vignes Meunier Champagne

Scored from 27 calibrated Vivino reviewers, each re-centered on their own rating baseline before the bottle is ranked. Cohort: Sparkling · フランス (126 wines).

87.3%
Global percentile
vs. all 69,234 ranked wines
71.2%
In-cohort percentile
Sparkling · フランス · 126 wines
78.3%
AI-adjusted percentile
27 calibrated reviewers, thin samples pulled to the mean

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

Summary

Pierre Paillard Ludes Premier Cru Vieilles Vignes Meunier Champagne is a French sparkling wine from シャンパーニュ・プルミエ・クリュ.

Its in-cohort standing is measured against 125 other sparkling wines from France, not against the corpus as a whole. Only 27 of its Vivino reviewers rate with enough spread for a personal baseline to be measured, so the calibrated figure rests on a thin sample; a broader pool of 27 reviewers with at least two ratings feeds the raw-average track.

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 Pierre Paillard Ludes Premier Cru Vieilles Vignes Meunier Champagne 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 · フランス (126 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 27.