Staglin Family Vineyard 'Ineo' Proprietary Red Rutherford 2008

DISCONTINUED
On request
SKU
WRW4120AJ

Discontinued

Country USA
bottle size 750 ml
Wine Type Red Wine
Wine Region California - Napa valley
Grape Variety Cabernet Sauvignon
vintage 2008 [**VINTAGE MAY CHANGE]
Alcohol 14.90%
characteristics
Body
Full Full Full
Acidity
Medium Medium Medium
Tannin
High High High
2008 [**VINTAGE MAY CHANGE]
Product Description
An elegant style, with complex aromatics of ripe plum, blackberry, floral, mocha and espresso. Firm and full-bodied, with smooth, fine-grained tannins that hold the flavors for a long, lingering, layered finish.
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Profile

Grape Blended

Cabernet Sauvignon, Cabernet Franc, and Merlot

Palate

Firm and full-bodied, with smooth, fine-grained tannins that hold the flavors for a long, lingering, layered finish.

Colour

Ruby red

Aroma

An elegant style, with complex aromatics of ripe plum, blackberry, floral, mocha and espresso.

Palate

Firm and full-bodied, with smooth, fine-grained tannins that hold the flavors for a long, lingering, layered finish.
Wine Pairing
:Beef
:Lamb
:Cured Meat
:Hard Cheese
Product details

Staglin's INEO is a very limited bottling available only through the winery. Composed of 50% Cabernet Sauvignon, 40% Cabernet Franc, and 10% Merlot, the wine was aged in 100% new French oak for 22 months before bottling. From the winery: "The wine displays a heady bouquet of sweet, dark fruits and kirsch lifted by notes of violets, eucalyptus, creme de cassis, and dried herbs substantiated by earthy elements of peat and pulverized rock amidst rich undertones of oak and roasted nuts. A palate rich wtih black cherries, black currants, sun-warmed figs, spiced blackberries and creme de cacao is enlivened by menthol, black pepper and liquid minerals that give way to ample yet silky tannins which provide this wine with balance and extend its hedonism. After its first year in bottle, this wine has integrated well and is drinking delightfully well now but should continue to evolve and offer up additional layers of complexity in the years to come.

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