Red · Kakheti · Georgien
Ilia Estate Taoba Saperavi
Scored from 475 calibrated Vivino reviewers, each re-centered on their own rating baseline before the bottle is ranked. Cohort: Red · Georgien (4 wines).
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Tasting profile
A full-bodied Saperavi showing ripe cherry and berry fruit, soft plum, and notable oak influence, with a smooth, low-acid character that reviewers compare favorably to Barolo. It pairs naturally with red meat dishes like entrecote, venison, or mushroom-sauced game.
Synthesized from 475Vivino reviewers' tasting notes for this bottle.
What reviewers say
“Me encantó! Sabor a roble, rojo cereza con cuerpo y nada ácido. Excelente maridaje con carne roja.”
From a top-rated Vivino review for this bottle.
Summary
Ilia Estate Taoba Saperavi is a Georgian red from Kakheti.
475 Vivino reviewers rate with enough spread for a personal baseline to be measured, and those are the ones the calibrated score reads; a separate, broader pool of 482 reviewers with at least two ratings each feeds the raw-average track. Its in-cohort standing is measured against 3 other reds from Georgia, 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 Ilia Estate Taoba Saperavi 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 · Georgien (4 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 475.
