Wine Pairing Suggester

Food type → suggested wine styles with reasoning (acid / tannin / body match).

Inputs

Result

Best match
Cabernet Sauvignon or Bordeaux blend
Tannins bind protein and fat; full body matches red meat density.
  • Foodred meat
  • Primary pairingCabernet Sauvignon or Bordeaux blend
  • AlternativesMalbec · Syrah / Shiraz · Chianti Classico
  • ReasoningTannins bind protein and fat; full body matches red meat density.
  • Serving temp16-18 °C / 60-64 °F

Step-by-step

  1. Match dimensions: weight (body), acidity, tannin, sweetness, flavor intensity.
  2. For red meat: Tannins bind protein and fat; full body matches red meat density.

How to use this calculator

  • Pick the dish type closest to what you're serving.
  • Read the primary pairing and three alternatives.
  • Use the reasoning to swap in a similar wine from your shelf.

About this calculator

Wine pairing follows a small number of principles: match the weight of the wine to the weight of the food; let acidity cut through fat; let tannin bind protein; and let residual sugar soothe spicy heat. Beyond those four levers, regional pairings (Tuscan reds with tomato pasta, Burgundy with duck) usually have something to teach because the cuisine and the wine co-evolved. The suggestions here lean toward classical pairings backed by sommelier consensus rather than experimental ones.

What this calculator does

This calculator returns a primary wine pairing and three alternatives for a chosen food type, with a one-sentence explanation of the principle (acidity cuts fat, tannin binds protein, residual sugar soothes heat) and a serving-temperature range. The pairings reflect sommelier consensus from major wine-education curricula (Court of Master Sommeliers, Wine & Spirit Education Trust) and classical regional pairings.

How it works — the formula

Pairing principles: (1) match wine body to food weight; (2) acid cuts fat; (3) tannin binds protein; (4) sweet soothes spicy heat; (5) regional pairings (where the food and wine co-evolved) usually work.

There is no formula for wine pairing — it is a craft built on a handful of palate-physics principles plus a deep menu of classical pairings. The mappings here encode the canonical "default" suggestion for each food category as taught in WSET Level-2/3 and Court of Master Sommeliers introductory curricula.

Worked examples

Example 1
Steak dinner
Inputs:
food=red meat
Output:
Cabernet Sauvignon or Bordeaux blend; alts: Malbec, Syrah, Chianti Classico

Tannin-protein binding is the cornerstone of red-meat pairing.

Example 2
Oyster appetizer
Inputs:
food=shellfish
Output:
Muscadet or Chablis; alts: Champagne, Albariño, Manzanilla

Sea-mirroring minerality and bright acid are the classic match.

Example 3
Thai green curry
Inputs:
food=spicy Asian
Output:
Off-dry Riesling or Gewürztraminer; alts: Chenin demi-sec, Lambrusco

Residual sugar cools capsaicin heat where dry reds amplify it.

When to use this vs other tools

Use this when you need a sommelier-style starting point. For tighter pairings (specific vintage, region), consult a sommelier or detailed pairing guide.

Authority note

Court of Master Sommeliers + Wine & Spirit Education Trust (WSET)

These institutions train the sommeliers who pair wine professionally worldwide. The default pairings used here track their curricula and the practitioner consensus in major wine reference works.

Limitations

  • Classical / safe pairings. Adventurous matches (white wine with steak, red with fish) can also work but aren't the default suggestion.
  • No vintage-level specificity — a 2015 Bordeaux drinks differently from a 2019.
  • Cooking technique matters as much as the protein itself — a grilled vs poached chicken would pair to different wines.
  • Personal palate trumps the rule — if the conventional pairing isn't your taste, look at the alternatives.

Wine pairing is a craft, not an exact science. Use these suggestions as a starting point and trust your palate.

Frequently asked

Match weight first: light wine for light food, full-bodied wine for rich food. Everything else is fine-tuning.

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