White · Rheinhessen · Deutschland
Marto Riesling
Scored from 289 calibrated Vivino reviewers, each re-centered on their own rating baseline before the bottle is ranked. Cohort: White · Deutschland (929 wines).
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What reviewers say
“I really love this Riesling perhaps more than any other that I've drank. I second my notion from the other wine I drank 5 and 1/2 years ago from this winery when I was just beginning my natural wine journey. I noted that Germany may produce the best whites and this wine certainly backs up that notion. This wine tastes a bit more like a dry malic acid ⏩ Apple cider yet in the gut sits with Elegance on its profile of fermentation. Tart Granny Smith Apple hay chamomile oh my!”
From a top-rated Vivino review for this bottle.
Summary
Marto Riesling is a white from Rheinhessen, Germany.
The calibrated figure is built from 289 reviewers whose rating history varies enough to place their own average. A broader pool of 293 reviewers with two or more ratings feeds the raw-average track instead. Its in-cohort standing is measured against 928 other whites from Germany, 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 Marto Riesling 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 · Deutschland (929 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 289.
