Home>Probability tutorial>This page In this lesson, we explain how to compute the probability of being dealt an ordinary straight or a straight flush in stud poker. (For a brief description of stud poker, click here.) What is a Straight?In stud poker, there are two types of hands that can be classified as a straight.
In this lesson, we will compute probabilities for both types of straight. How to Compute Poker ProbabilitiesIn a previous lesson, we explained how to compute probability for any type of poker hand. For convenience, here is a brief review:
So, how do we count the number of ways that different types of poker hands can occur? We recognize that every poker hand consists of five cards, and the order in which cards are arranged does not matter. When you talk about all the possible ways to count a set of objects without regard to order, you are talking about counting combinations. Luckily, we have a formula to do that:
Counting combinations. The number of combinations of n objects taken r at a time is nCr = n(n - 1)(n - 2) . . . (n - r + 1)/r! = n! / r!(n - r)! In summary, we use the combination formula to count (a) the number of possible five-card hands and (b) the number of ways a particular type of hand can be dealt. To find probability, we divide the latter by the former.
Let's execute the analytical plan described above to find the probability of a straight flush.
The probability of being dealt a straight flush is 0.00001539077169. On average, a straight flush is dealt one time in every 64,974 deals. The Venn diagram below shows the relationship between a straight flush and an ordinary straight. Everything within the rectangle is a straight, in the sense that it is a poker hand with five cards in sequence. The blue circle is an ordinary straight; the red circle, a straight flush.
Notice that the circles do not intersect or overlap. From that, you can infer that a straight flush and ordinary straight are mutually exclusive events. Therefore, Ps = Psf + Pos where Ps is the probability of any type of straight, Psf is the probability of a straight flush, and Pos is the probability of an ordinary straight. To compute the probability of an ordinary straight, we rearrange terms, as shown below: Pos = Ps - Psf From the analysis in the previous section, we know that the probability of a straight flush (Psf) is 0.00001539077169. Therefore, to compute the probability of an ordinary straight (Pos), we need to find Ps. Here is how to find Ps:
Now, we can find the probability of being dealt an ordinary straight. It is: Pos = Ps - Psf Pos = 0.003940037553 - 0.00001539077169 Pos = 0.003924646781 where Ps is the probability of any type of straight, Psf is the probability of a straight flush, and Pos is the probability of an ordinary straight. Bottom line: In stud poker, even an ordinary straight is a pretty rare event. On average, it occurs once every 255 deals.
If you would like to cite this web page, you can use the following text: Berman H.B., "How to Compute the Probability of a Straight in Stud Poker", [online] Available at: https://stattrek.com/poker/probability-of-straight URL [Accessed Date: 11/6/2022].
If you watch any movie that involves poker, it seems like it’s only a matter of time before a royal flush makes an appearance. This is a poker hand that has a very specific composition: the ten, jack, queen, king and ace, all of the same suit. Typically the hero of the movie is dealt this hand and it is revealed in a dramatic fashion. A royal flush is the highest ranked hand in the card game of poker. Due to the specifications for this hand, it is very difficult to be dealt a royal flush. There is a multitude of different ways that poker can be played. For our purposes, we will assume that a player is dealt five cards from a standard 52 card deck. No cards are wild, and the player keeps all of the cards that are dealt to him or her. To calculate the probability of being dealt a royal flush, we need to know two numbers:
Once we know these two numbers, the probability of being dealt a royal flush is a simple calculation. All that we have to do is to divide the second number by the first number. Some of the techniques of combinatorics, or the study of counting, can be applied to calculate the total number of poker hands. It is important to note that the order in which the cards are dealt to us does not matter. Since the order does not matter, this means that each hand is a combination of five cards from a total of 52. We use the formula for combinations and see that there are a total number of C( 52, 5 ) = 2,598,960 possible distinct hands. A royal flush is a flush. This means that all of the cards must be of the same suit. There are a number of different kinds of flushes. Unlike most flushes, in a royal flush, the value of all five cards are completely specified. The cards in one's hand must be a ten, jack, queen, king and ace all of the same suit. For any given suit there is only one combination of cards with these cards. Since there are four suits of hearts, diamonds, clubs, and spades, there are only four possible royal flushes that can be dealt. We can already tell from the numbers above that a royal flush is unlikely to be dealt. Of the nearly 2.6 million poker hands, only four of them are royal flushes. These nearly 2.6 hands are uniformly distributed. Due to the shuffling of the cards, every one of these hands is equally likely to be dealt to a player. The probability of being dealt a royal flush is the number of royal flushes divided by the total number of poker hands. We now carry out the division and see that a royal flush is rare indeed. There is only a probability of 4/2,598,960 = 1/649,740 = 0.00015% of being dealt this hand. Much like very large numbers, a probability that is this small is hard to wrap your head around. One way to put this number in perspective is to ask how long it would take to go through 649,740 poker hands. If you were dealt 20 hands of poker every night of the year, then this would only amount to 7300 hands per year. in 89 years you should only expect to see one royal flush. So this hand is not as common as what the movies might make us believe. |