Red · Saint-Estèphe · Francia
Château de Pez 2nd Pez Saint-Estèphe
Scored from 99 calibrated Vivino reviewers, each re-centered on their own rating baseline before the bottle is ranked. Cohort: Red · Francia (72 wines).
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What reviewers say
“Château de Pez Second Pez shows off some real Saint Estephe character. It opens with deep black fruit, hints of raspberry and a touch of oak. There is cedar, old wood and a little bonfire warmth that gives it a rustic charm, along with a note that reminds me of wood lacquer. Dry and medium bodied with a velvety finish, it feels both classic and relaxed. A solid bottle that delivers exactly what you hope for from this estate.”
From a top-rated Vivino review for this bottle.
Summary
Château de Pez 2nd Pez Saint-Estèphe is a French red from Saint-Estèphe. The blend is Cabernet Sauvignon, Merlot and Petit Verdot.
The calibrated figure is built from 99 reviewers whose rating history varies enough to place their own average. A broader pool of 99 reviewers with two or more ratings feeds the raw-average track instead. 71 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 Château de Pez 2nd Pez Saint-Estèphe 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 · Francia (72 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 99.
