
Rosé · Languedoc-Roussillon · France
Le Petit Chat - Malin Rose
Scored from 444 calibrated Vivino reviewers, each re-centered on their own rating baseline before the bottle is ranked. Cohort: Rosé · France (2,010 wines).
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What reviewers say
“Slightly spicy and fresh strawberry, basil and raspberry in the nose, with a lovely citrus balance to taste. It actually rarely tastes on par with the scent…I don’t get much more from the palate but it’s refreshing and well balanced - very light and easy to drink with a fish dish!! 🤍”
From a top-rated Vivino review for this bottle.
Summary
Rich and juicy, with ripe berry fruit flavours, a touch of tannin and a subtle hint of spice.
Le Petit Chat - Malin Rose is a rosé from Languedoc-Roussillon, France, blended from Grenache Noir, Mourvedre and Shiraz Syrah.
The calibrated figure is built from 444 reviewers whose rating history varies enough to place their own average. A broader pool of 475 reviewers with two or more ratings feeds the raw-average track instead. Its in-cohort standing is measured against 2,009 other rosés from France, not against the corpus as a whole.
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 Le Petit Chat - Malin Rose 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 Rosé · France (2,010 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 444.







