White · Muscadet · France
Jean-Baptiste Hardy Fief de Chaintre
Scored from 123 calibrated Vivino reviewers, each re-centered on their own rating baseline before the bottle is ranked. Cohort: White · France (7,336 wines).
Find this wine: view on Vivino · compare prices on Wine-Searcher
What reviewers say
“Jean-Baptiste Hardy, mentored by Meursault master Jean-Marc Roulot, has revitalized his familys Mouzillon estate. In Muscadet Sèvre et Maine, part of the newly designated Cru Communaux, he adopts a quality-focused, organic approach on 4ha of aged Melon de Bourgogne vines.”
From a top-rated Vivino review for this bottle.
Summary
Jean-Baptiste Hardy Fief de Chaintre is a white from Muscadet, France. At $51.17 for the lowest 750 ml listing, it belongs to the $30–60 band. It is made from Melon De Bourgogne.
The cohort it is ranked inside holds 7,336 French whites. 123 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 125 reviewers with at least two ratings each 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 Jean-Baptiste Hardy Fief de Chaintre 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 White · France (7,336 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 123.
