White · Tokaj · Hungary
Bodrog Borműhely Dry Tokaj
Scored from 305 calibrated Vivino reviewers, each re-centered on their own rating baseline before the bottle is ranked. Cohort: White · Hungary (177 wines).
Find this wine: view on Vivino · compare prices on Wine-Searcher
What reviewers say
“86/💯 very good! Nice Producer Furmint February Warsaw 👈🏻🇵🇱🥰 I don't spit out wine like barbarians👈🏻 🇵🇱🇭🇺🇺🇦Hungarian brothers! For the love of Magyarorszag I have to write this. In World War III, you choose the wrong alliance. Go like Poland... "Life will win over death, and light will win over darkness”, read Bela Hamvas. Victor words are important… did you read Pál Teleki last letter ? Володимир words are important…(UN + Canada)🚜🚜🚜”
From a top-rated Vivino review for this bottle.
Summary
Bodrog Borműhely Dry Tokaj is a Hungarian white from Tokaj. The grape is Furmint.
The calibrated figure is built from 305 reviewers whose rating history varies enough to place their own average. A broader pool of 311 reviewers with two or more ratings feeds the raw-average track instead. The cohort it is ranked inside holds 177 Hungarian whites.
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 Bodrog Borműhely Dry Tokaj 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 · Hungary (177 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 305.
