RankquantRQ
Francois Villard Montlys Côte-Rôtie
1
global pct
98.8

Red · Côte-Rôtie · France

Francois Villard Montlys Côte-Rôtie

Scored from 25 calibrated Vivino reviewers, each re-centered on their own rating baseline before the bottle is ranked. Cohort: Red · France (1,134 wines).

98.8%
Global percentile
vs. all 69,234 ranked wines
97.8%
In-cohort percentile
Red · France · 1,134 wines
89.8%
AI-adjusted percentile
25 calibrated reviewers, thin samples pulled to the mean

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

What reviewers say

Très bon vin à déguster avec des connaisseurs vin subtil en bouche mais qui se dévoile dans la longueur pour recouvrir des arômes boiser

From a top-rated Vivino review for this bottle.

Summary

From Côte-Rôtie in France, Francois Villard Montlys Côte-Rôtie is a red.

Only 25 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 25 reviewers with at least two ratings feeds the raw-average track. 1,133 other reds from France form the cohort it is ranked inside.

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 Francois Villard Montlys Côte-Rôtie 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 Red · France (1,134 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 25.