Red · Haut-Médoc · Frankreich
Château Giscours Haut-Médoc Giscours
Scored from 2,500 calibrated Vivino reviewers, each re-centered on their own rating baseline before the bottle is ranked. Cohort: Red · Frankreich (147 wines).
Find this wine: view on Vivino · compare prices on Wine-Searcher
What reviewers say
“Just picked up a bottle of this 2015 vintage at the supermarket bottle shop. I do happen to be in Bordeaux so its not so surprising. Cost €20. At 10 years old it has developed well to be well integrated. It is a dark colour. With a clear maniscus.”
From a top-rated Vivino review for this bottle.
Summary
Château Giscours Haut-Médoc Giscours is a red from Haut-Médoc, France, blended from Cabernet Sauvignon and Merlot. It sits in the $30–60 band, on a lowest observed 750 ml price of $30.00.
The calibrated figure is built from 2,500 reviewers whose rating history varies enough to place their own average. A broader pool of 2,574 reviewers with two or more ratings feeds the raw-average track instead. Its in-cohort standing is measured against 146 other reds from France, 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 Château Giscours Haut-Médoc Giscours 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 · Frankreich (147 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 2,500.
