Calculate the probability of drawing specific cards in sequence without replacement.

Card draw probability uses the hypergeometric distribution, which models drawing without replacement from a finite population. Unlike the binomial distribution (which assumes replacement), the hypergeometric distribution accounts for the changing composition of the deck as cards are drawn. This makes it the correct model for poker, blackjack, and any probability of drawing a card scenario. Our card probability calculator implements this distribution with full step-by-step work.

The Formula

P(X = k) = C(K, k) × C(N−K, n−k) / C(N, n)

Where N = deck size, K = total successes in deck, n = cards drawn, k = desired successes. The formula combines three combinatorial terms: ways to choose k successes from the K in the deck, ways to choose the remaining n−k cards from the N−K non-successes, divided by the total ways to choose n cards from the full deck.

Worked Example

What's the probability of drawing a card — specifically exactly 1 ace in a 5-card poker hand? N=52, K=4 (four aces), n=5 (hand size), k=1 (one ace). C(4,1) = 4, C(48,4) = 194,580, C(52,5) = 2,598,960. So P = 4 × 194,580 / 2,598,960 = 778,320 / 2,598,960 ≈ 0.2995 = 29.95%.

Deck Presets

Our calculator includes preset configurations for popular decks: Standard 52 (poker deck, 4 suits of 13), Pinochle (48) (two copies of 9-A in 4 suits), Euchre (24) (9-A in 4 suits), and Tarot (78) (56 minor arcana + 22 major arcana). The Custom preset lets you set any deck size and success count for non-standard games.

Draw Sequence Mode

What's the probability of drawing a specific sequence of cards without replacement? For example, drawing an Ace then a King from a standard deck: P = (4/52) × (4/51) ≈ 0.60%. Each subsequent draw changes the deck composition, so the probabilities are multiplied sequentially. This mode handles two-card sequences with any deck size and copy counts.

Poker and Blackjack Applications

Card probability is essential for serious poker players. In Texas Hold'em, if you have four cards to a flush after the flop, there are 9 remaining cards of that suit out of 47 unseen cards. The probability of completing your flush on the next card is 9/47 ≈ 19.1%. Over the turn and river combined, P(hit flush) = 1 − (38/47 × 37/46) ≈ 35%.

What's the difference between hypergeometric and binomial?
Hypergeometric is for draws without replacement (like cards from a deck). Binomial is for independent trials with replacement. As the population grows large, they converge.
How do I calculate poker hand probabilities?
Set deck size to 52, successes in deck to the number of cards you want (4 for aces, 13 for hearts), and draws to your hand size.
What is the full distribution table?
It shows P(X=k) for every possible k from max(0, n-(N-K)) to min(n,K), giving the complete probability mass function of the hypergeometric distribution.

Card draw probability is crucial for poker players who need to calculate their odds of improving a hand. In Texas Hold'em, knowing the probability of drawing a specific card on the turn or river — known as "outs" — directly informs betting decisions. The hypergeometric distribution used in our calculator is the exact mathematical model for these scenarios.

Beyond poker, card probability applies to blackjack (probability of busting), bridge (distribution of suits), and collectible card games like Magic: The Gathering (probability of drawing specific cards in an opening hand). Game designers use these calculations to balance deck-building mechanics and ensure fair gameplay.

In statistics education, the card deck is a finite population sampling example. Drawing cards without replacement demonstrates how the hypergeometric distribution differs from the binomial distribution. Our calculator supports any deck size, making it useful for custom games, educational demonstrations, and serious poker probability analysis.

Common Draws (52-card)

Any specific card: 1.9%

Any ace (1 draw): 7.7%

Any heart (1 draw): 25%

≥1 ace (5 draws): 34.1%