
Rosé · Penedès · España
Pinord Clos de Torribas Tempranillo - Merlot
Scored from 195 calibrated Vivino reviewers, each re-centered on their own rating baseline before the bottle is ranked. Cohort: Rosé · España (301 wines).
Find this wine: view on Vivino · compare prices on Wine-Searcher
What reviewers say
“Vinho bem encorpado e bem integrado com as uvas, estrutura e ótima acidez. Tem características de madeira e fruta. Ótimo para carnes assadas, queijos mais curados e embutidos como presunto Parma e salame. Está um espetáculo. Muito bom para presentear e apreciar com os amigos. Notas de cereja, frutas vermelhas, morango compota. Ótima persistência no paladar!”
From a top-rated Vivino review for this bottle.
Summary
Pinord Clos de Torribas Tempranillo - Merlot is a Spanish rosé from Penedès.
The calibrated figure is built from 195 reviewers whose rating history varies enough to place their own average. A broader pool of 202 reviewers with two or more ratings feeds the raw-average track instead. Its in-cohort standing is measured against 300 other rosés from Spain, 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 Pinord Clos de Torribas Tempranillo - Merlot 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 · España (301 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 195.







