RankquantRQ
Martin Woods Koosah Vineyard Chardonnay
2
global pct
93.5

White · Eola-Amity Hills · United States

Martin Woods Koosah Vineyard Chardonnay

Scored from 34 calibrated Vivino reviewers, each re-centered on their own rating baseline before the bottle is ranked. Cohort: White · United States (2,311 wines).

93.5%
Global percentile
vs. all 69,234 ranked wines
95.0%
In-cohort percentile
White · United States · 2,311 wines
85.6%
AI-adjusted percentile
34 calibrated reviewers, thin samples pulled to the mean

Find this wine: view on Vivino · compare prices on Wine-Searcher

What reviewers say

Had it at Urban Hill SLC Jan 2025. Pups would love.

From a top-rated Vivino review for this bottle.

Summary

Martin Woods Koosah Vineyard Chardonnay is a white from Eola-Amity Hills, the United States.

Only 34 of its Vivino reviewers rate with enough spread for a personal baseline to be measured, so the calibrated figure rests on a thin sample; a broader pool of 34 reviewers with at least two ratings feeds the raw-average track. 2,310 other whites from the United States 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 Martin Woods Koosah Vineyard Chardonnay 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 · United States (2,311 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 34.