Picture Of All Poker Hands
This post works with 5-card Poker hands drawn from a standard deck of 52 cards. The discussion is mostly mathematical, using the Poker hands to illustrate counting techniques and calculation of probabilities
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Working with poker hands is an excellent way to illustrate the counting techniques covered previously in this blog – multiplication principle, permutation and combination (also covered here). There are 2,598,960 many possible 5-card Poker hands. Thus the probability of obtaining any one specific hand is 1 in 2,598,960 (roughly 1 in 2.6 million). The probability of obtaining a given type of hands (e.g. three of a kind) is the number of possible hands for that type over 2,598,960. Thus this is primarily a counting exercise.
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Preliminary Calculation
Usually the order in which the cards are dealt is not important (except in the case of stud poker). Thus the following three examples point to the same poker hand. The only difference is the order in which the cards are dealt.
These are the same hand. Order is not important.
The number of possible 5-card poker hands would then be the same as the number of 5-element subsets of 52 objects. The following is the total number of 5-card poker hands drawn from a standard deck of 52 cards.
The notation is called the binomial coefficient and is pronounced “n choose r”, which is identical to the number of -element subsets of a set with objects. Other notations for are , and . Many calculators have a function for . Of course the calculation can also be done by definition by first calculating factorials.
Thus the probability of obtaining a specific hand (say, 2, 6, 10, K, A, all diamond) would be 1 in 2,598,960. If 5 cards are randomly drawn, what is the probability of getting a 5-card hand consisting of all diamond cards? It is
This is definitely a very rare event (less than 0.05% chance of happening). The numerator 1,287 is the number of hands consisting of all diamond cards, which is obtained by the following calculation.
The reasoning for the above calculation is that to draw a 5-card hand consisting of all diamond, we are drawing 5 cards from the 13 diamond cards and drawing zero cards from the other 39 cards. Since (there is only one way to draw nothing), is the number of hands with all diamonds.
If 5 cards are randomly drawn, what is the probability of getting a 5-card hand consisting of cards in one suit? The probability of getting all 5 cards in another suit (say heart) would also be 1287/2598960. So we have the following derivation.
Thus getting a hand with all cards in one suit is 4 times more likely than getting one with all diamond, but is still a rare event (with about a 0.2% chance of happening). Some of the higher ranked poker hands are in one suit but with additional strict requirements. They will be further discussed below.
Another example. What is the probability of obtaining a hand that has 3 diamonds and 2 hearts? The answer is 22308/2598960 = 0.008583433. The number of “3 diamond, 2 heart” hands is calculated as follows:
One theme that emerges is that the multiplication principle is behind the numerator of a poker hand probability. For example, we can think of the process to get a 5-card hand with 3 diamonds and 2 hearts in three steps. The first is to draw 3 cards from the 13 diamond cards, the second is to draw 2 cards from the 13 heart cards, and the third is to draw zero from the remaining 26 cards. The third step can be omitted since the number of ways of choosing zero is 1. In any case, the number of possible ways to carry out that 2-step (or 3-step) process is to multiply all the possibilities together.
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The Poker Hands
Here’s a ranking chart of the Poker hands.
The chart lists the rankings with an example for each ranking. The examples are a good reminder of the definitions. The highest ranking of them all is the royal flush, which consists of 5 consecutive cards in one suit with the highest card being Ace. There is only one such hand in each suit. Thus the chance for getting a royal flush is 4 in 2,598,960.
Royal flush is a specific example of a straight flush, which consists of 5 consecutive cards in one suit. There are 10 such hands in one suit. So there are 40 hands for straight flush in total. A flush is a hand with 5 cards in the same suit but not in consecutive order (or not in sequence). Thus the requirement for flush is considerably more relaxed than a straight flush. A straight is like a straight flush in that the 5 cards are in sequence but the 5 cards in a straight are not of the same suit. For a more in depth discussion on Poker hands, see the Wikipedia entry on Poker hands.
The counting for some of these hands is done in the next section. The definition of the hands can be inferred from the above chart. For the sake of completeness, the following table lists out the definition.
Definitions of Poker Hands
| Poker Hand | Definition | |
|---|---|---|
| 1 | Royal Flush | A, K, Q, J, 10, all in the same suit |
| 2 | Straight Flush | Five consecutive cards, |
| all in the same suit | ||
| 3 | Four of a Kind | Four cards of the same rank, |
| one card of another rank | ||
| 4 | Full House | Three of a kind with a pair |
| 5 | Flush | Five cards of the same suit, |
| not in consecutive order | ||
| 6 | Straight | Five consecutive cards, |
| not of the same suit | ||
| 7 | Three of a Kind | Three cards of the same rank, |
| 2 cards of two other ranks | ||
| 8 | Two Pair | Two cards of the same rank, |
| two cards of another rank, | ||
| one card of a third rank | ||
| 9 | One Pair | Three cards of the same rank, |
| 3 cards of three other ranks | ||
| 10 | High Card | If no one has any of the above hands, |
| the player with the highest card wins |
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Counting Poker Hands
Straight Flush
Counting from A-K-Q-J-10, K-Q-J-10-9, Q-J-10-9-8, …, 6-5-4-3-2 to 5-4-3-2-A, there are 10 hands that are in sequence in a given suit. So there are 40 straight flush hands all together.
Four of a Kind
There is only one way to have a four of a kind for a given rank. The fifth card can be any one of the remaining 48 cards. Thus there are 48 possibilities of a four of a kind in one rank. Thus there are 13 x 48 = 624 many four of a kind in total.
Full House
Let’s fix two ranks, say 2 and 8. How many ways can we have three of 2 and two of 8? We are choosing 3 cards out of the four 2’s and choosing 2 cards out of the four 8’s. That would be = 4 x 6 = 24. But the two ranks can be other ranks too. How many ways can we pick two ranks out of 13? That would be 13 x 12 = 156. So the total number of possibilities for Full House is
Note that the multiplication principle is at work here. When we pick two ranks, the number of ways is 13 x 12 = 156. Why did we not use = 78?
Flush
There are = 1,287 possible hands with all cards in the same suit. Recall that there are only 10 straight flush on a given suit. Thus of all the 5-card hands with all cards in a given suit, there are 1,287-10 = 1,277 hands that are not straight flush. Thus the total number of flush hands is 4 x 1277 = 5,108.
Straight
There are 10 five-consecutive sequences in 13 cards (as shown in the explanation for straight flush in this section). In each such sequence, there are 4 choices for each card (one for each suit). Thus the number of 5-card hands with 5 cards in sequence is . Then we need to subtract the number of straight flushes (40) from this number. Thus the number of straight is 10240 – 10 = 10,200.
Three of a Kind
There are 13 ranks (from A, K, …, to 2). We choose one of them to have 3 cards in that rank and two other ranks to have one card in each of those ranks. The following derivation reflects all the choosing in this process.
Two Pair and One Pair
These two are left as exercises.
High Card
The count is the complement that makes up 2,598,960.
The following table gives the counts of all the poker hands. The probability is the fraction of the 2,598,960 hands that meet the requirement of the type of hands in question. Note that royal flush is not listed. This is because it is included in the count for straight flush. Royal flush is omitted so that he counts add up to 2,598,960.
Probabilities of Poker Hands
| Poker Hand | Count | Probability | |
|---|---|---|---|
| 2 | Straight Flush | 40 | 0.0000154 |
| 3 | Four of a Kind | 624 | 0.0002401 |
| 4 | Full House | 3,744 | 0.0014406 |
| 5 | Flush | 5,108 | 0.0019654 |
| 6 | Straight | 10,200 | 0.0039246 |
| 7 | Three of a Kind | 54,912 | 0.0211285 |
| 8 | Two Pair | 123,552 | 0.0475390 |
| 9 | One Pair | 1,098,240 | 0.4225690 |
| 10 | High Card | 1,302,540 | 0.5011774 |
| Total | 2,598,960 | 1.0000000 |
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2017 – Dan Ma
Poker Hands: An Introduction
To fool or be fooled
Poker is a pretty straightforward game. All you have to do is build a hand that’s strong enough to beat everyone else’s – or trick your opponents that you do have a strong hand regardless of what cards you actually have – to win.
But how exactly do you gauge the strength of your hand? Well, there’s a table below that shows you all the hands at your disposal and how each one of them ranks with respect to all the others. But before we get to that, let us first go over some of the basics:
Please note the following card references:
(h) Hearts (d) Diamonds (c) Clubs (s) Spades
What is a hand in poker?
Simply put, a poker hand is just a collection of specific cards. At the end of each game (i.e., the showdown stage), all active players must compare their respective hands to determine a winner (or winners in case there’s an unbreakable tie). The player or players with the strongest hand wins the pot.
In most cases (i.e., in standard games like Texas Holdem and Omaha), a hand is made up of five cards. Even in seven-card poker, only the strongest five-card hands get considered. The only difference is that each player gets more cards to work within seven-card games.
The only exception to this five-card hand rule are three-card poker games, where, as the name suggests, only three cards are used to make a hand.
What determines the strength of a poker hand?
Rarity dictates how strong a certain poker hand is. The more difficult it is to get, the higher it ranks. Now, while we won’t actually show you the math behind it in this post, if you enjoy working with numbers or are just curious, then there’s a detailed write-up on the subject right here.
You said something about tricking my opponents. What’s that about?
Well, it’s a technique called “bluffing.” It basically entails making your opponents believe that you either have a strong or weak hand depending on how you want them to act. By making other players believe that you have a strong hand, you can force those with weak hands to fold, thereby decreasing the total number of people you have to compete with come showdown time. By acting weak, on the other hand, you can bait them into raising the pot, which ultimately means more money for you at the end of the game.
All it takes is a bit of acting. Of course, being able to read your opponents would help a lot as well. But be sure to not overuse this technique to prevent your opponents from seeing a pattern and countering.
Poker hands in order of strength
Now that we’re done with the basics, let’s move on to the hand rankings:
Royal Flush Probability
0.000154%
The top hand in poker, it consists of five suited cards of consecutive values starting with an ace.
Ex: As Ks Qs Js 10s
Straight Flush Probability
0.00139%
It’s essentially a clone of a royal flush but it uses a king or lower as its highest card instead of an ace.
Ex: Js 10s 9s 8s 7s
Four of a Kind Probability
0.0240%
This hand is made up of four cards of the same value and a fifth kicker card.
Ex: 3d 3h 3s 3c 9s
Full House Probability
0.1441%
A trip and pair combo.
Ex: Kd Kh Ks 4s 4c
Flush Probability
0.1965%
Five suited cards of any value.
Ex: Ad 7d 6d 4d 2d
Straight Probability
0.3925%
As you may have guessed, this hand consists of five cards in sequence. The suits do not matter.
Ex: 6d 5c 4s 3c 2h
Three of a Kind Probability
Printable Poker Hand
2.1128%
Also known as a trip, it’s just three cards of the same value plus two kicker cards.
Ex: 4h 4s 4c 10d 7s
Two Pair Probability
4.7539%
A pair is just two cards of the same value. This hand has two of them plus a fifth kicker card.
Ex: 10d 10h 6d 6c 2s
One Pair Probability
42.2569%
In contrast, this hand only has one pair plus three kicker cards.
Ex: Kd Kh 6s 3c 2s
High Card Probability
50.1177%
It’s called a hand but it’s practically just a collection of random cards. This is what you get by default when you are unable to build anything stronger.
In most cases, it would be best to just fold when you get this hand – unless you’re sure that you can bluff your way to victory.
Ex: Jd 7c 6s 4h 2h
Mastering these poker hands takes experience
Don’t worry if the whole subject seems overwhelming. The more games you play, the more you’ll be able to master these things.
Free Pictures Of Poker Hands
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