Red · California · United States
Hayes Ranch Cabernet Sauvignon
Scored from 625 calibrated Vivino reviewers, each re-centered on their own rating baseline before the bottle is ranked. Cohort: Red · United States (1,156 wines).
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What reviewers say
“Un Cabernet Sauvignon Californiano muy rico, Color Rubí con destellos violaceos. Super aromatico, fruta roja, pimiento rojo dulce asado, notas ahumadas, algo de vainilla y caramelo.”
From a top-rated Vivino review for this bottle.
Summary
Flavors of red cherry, anise, and a hint of vanilla, abound in this wine is well balanced with medium tannins, a smooth mid-palate and a spicy, coffee finish.
Hayes Ranch Cabernet Sauvignon is a red from California, the United States. At $13.89 for the lowest 750 ml listing, it belongs to the under $15 band.
The calibrated figure is built from 625 reviewers whose rating history varies enough to place their own average. A broader pool of 654 reviewers with two or more ratings feeds the raw-average track instead. Its in-cohort standing is measured against 1,155 other reds from the United States, 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 Hayes Ranch Cabernet Sauvignon 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 · United States (1,156 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 625.
