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  • Stonestreet Cabernet Sauvignon 750 ml

Stonestreet Cabernet Sauvignon 750 ml

Country: United States /

Region: California /

Style: Wine /

Size: 750 ml /

Vintage: 2018 /

Sku: 21977183

Wine Enthusiast94 Points
The Wine Advocate94 Points
$59.99 Reg. $64.99

Details

Details

*Vintage may vary by location*

As a blend of their best Cabernet Sauvignon vineyard sites, the Estate bottling is one of the most compelling illustrations of the Stonestreet Mountain. They blend this wine with discerning precision, balancing aromatic intrigue, texture and the Mayacamas' signature structural elements into a pure reflection of the vintage. The 2018 Estate Cabernet Sauvignon starts out with savory aromas of fresh blueberry, dark caramel, California bay and chaparral. As the wine opens in the glass, deep fruit flavors of bramble and blackberry alongside bright cocoa dance on the palate. The mouthfeel is rich and inviting with fine tannins, bright acid and considerable length with plenty of concentration. This wine will continue to evolve and exhibit plush tannin structure with additional time.

• Cabernet Sauvignon •

Suggested Food Pairing:

Beef
Charcuterie-Cheese
Game
Lamb

Reviews

Wine Enthusiast94 Points
The Wine Advocate94 Points
WE Wine Enthusiast: 94 Points
Made from the producer's estate Monument Ridge, blocks that rise from 400 to 2,400 feet, this balanced, elegant wine is refined and savory, with classic structure. Crushed rock, mountain sage, pine and dusty tannin support a core of juicy currant and cassis.
WA The Wine Advocate: 94 Points
The 2018 Cabernet Sauvignon Estate is blended with 1.5% Petit Verdot and matured for 20 months in 35% new oak. It's bursting with gregarious blackcurrant, blueberry, mint chocolate and lilac plus touches of cigar ash, licorice and coffee beans. The medium-bodied palate is light on its feet despite its deep core of perfumed fruit, with a frame of grainy tannins and juicy acidity that calls you in for another sip. This is wonderfully easy to drink despite offering plenty of complexity.