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Ask the Wizard: Dice Probability

Questions about Probability, Statistics, & Math

Probability FAQ
General probabilities, statistics, & math
Probabilities with Dice
Probabilities with Cards
Probabilities with Coins
Math-related puzzles & tricks

NOTE: Probabilities for specific games (e.g., blackjack) are listed in the section for that game, not here. This probabilities section is only for general questions about probability, risk of ruin, and other gambling math issues.

Can you calculate the probability of two numbers coming up behind each other in a roll of the dice? Meaning, what is the probability of two 4’s or two 6’s or two 7’s back-to-back? I realize that the past cannot predict the future, but is there a way to calculate 7/36 X 7/36 happening back-to-back? I hope that makes sence. — James from Birmingham
Sure. That would be Pr(2)2 + Pr(3)2 + … + Pr(12)2 = (1/36)2 + (2/36)2 + (3/36)2 + (4/36)2 + (5/36)2 + (6/36)2 + (5/36)2 + (4/36)2 + (3/36)2 + (2/36)2 + (1/36)2 = 11.27%. August 29, 2008
How many ways are there to roll n six-sided, non-distinct dice? As stated, the dice are non-distinct, so with five dice, for example, 1-1-3-5-6 and 1-6-5-1-3 would be considered the same roll. With two dice, it's trivial to determine that the answer is 21, but I can't figure out an elegant, generalized solution. — Don from New York

The answer can be expressed as combin(n+5,n) = (n+5)!/(120×n!). Here is the answer for 1 to 20 dice.

Non-Distinct Dice Combinations
Dice Combinations
1 6
2 21
3 56
4 126
5 252
6 462
7 792
8 1287
9 2002
10 3003
11 4368
12 6188
13 8568
14 11628
15 15504
16 20349
17 26334
18 33649
19 42504
20 53130
21 65780
22 80730
23 98280

Credit to Alan Tucker, author of Applied Combinatorics. August 6, 2008

Players A and B throw a pair of dice. Player A wins if he throws a total of 6 before B throws a toal of 7, and B wins if he throws 7 before A throws 6. If A begins, show that A's chances of winning are 30/61. — Sangeeta from Mumbai, India

Let the answer to this question be called p. The probability of rolling a total of six is 5/36, and the probability of rolling a total of seven is 6/36. If you don't understand why, please see my section on dice probability basics. We can define p as:

p = Prob(6 on first roll) + Prob(no 6 on first roll)*Prob(no 7 on second roll)*p.

This is because, if neither player wins after the first two rolls, the game is back to the original state, and the probability of player A winning remains the same.

So, we have:

p = (5/36) + (31/36)×(30/36)×p
p = 5/36 + (930/1296)×p
p * (1-(930/1296)) = 5/36.
p * (366/1296) = 5/36
p = (5/36)×(1296/366) = 30/61. April 21, 2008

Consider a hypothetical game based on the roll of a die. If die lands on 1, the player loses $1 and the game ends. If the die lands on anything else, the players wins $1. At this point the player may let it ride, or quit. The player may keep playing, doubling each bet, until he loses or quits. What is the best strategy? – Bryon P. from Newington, CT

Speaking only in terms of maximizing expected value, the player should play forever. While the probability is 1 that the player will eventually lose, at any given decision point the expected value always favors going again. It seems like a paradox. The answer lies in the fact that some events have a probability of 1, but still may not happen. For example, if you threw a dart at a number line from 0 to 10, the probability of not hitting pi exactly is 1, but it still could happen.

However, for practical purposes, there is some stopping point. This is because the happiness money brings is not proportional to the amount. While it is commonly accepted that more money brings more happiness, the richer you get, the less happiness each additional dollar brings you.

I believe a good way to answer this question is to apply the Kelly Criterion to the problem. According to Kelly, the player should make every decision with the goal of maximizing the expected log of his bankroll after the wager. To cut to the end of this (I cut out a lot of math), the player should keep doubling until the wager amount exceeds 96.5948% of his total wealth. Wealth should be defined as the sum of the amount won plus whatever money the player had before he made the first wager. For example, if the player had $100,000 to start with, he should keep doubling up to 23 times, to a win of $4,194,304. At that point the player’s total wealth will be $4,294,304. He will be asked to wager 4,194,304/4,294,304 = 96.67% of his total wealth, which is greater than the 96.5948% stopping point, so he should quit.September 11, 2007

What is the expected number of rolls needed to get a Yahtzee? – Ian F. from Provo
Assuming the player always holds the most represented number, the average is 11.09. Here is a table showing the distribution of the number of rolls over a random simulation of 82.6 million trials.

Yahtzee Experiment
Rolls Occurences Probability
1 63908 0.00077371
2 977954 0.0118396
3 2758635 0.0333975
4 4504806 0.0545376
5 5776444 0.0699327
6 6491538 0.0785901
7 6727992 0.0814527
8 6601612 0.0799227
9 6246388 0.0756221
10 5741778 0.0695131
11 5174553 0.0626459
12 4591986 0.0555931
13 4022755 0.0487016
14 3492745 0.042285
15 3008766 0.0364257
16 2577969 0.0312103
17 2193272 0.0265529
18 1864107 0.0225679
19 1575763 0.019077
20 1329971 0.0161013
21 1118788 0.0135446
22 940519 0.0113864
23 791107 0.00957757
24 661672 0.00801056
25 554937 0.00671837
26 463901 0.00561624
27 387339 0.00468933
28 324079 0.00392347
29 271321 0.00328476
30 225978 0.00273581
31 189012 0.00228828
32 157709 0.00190931
33 131845 0.00159619
34 109592 0.00132678
35 91327 0.00110565
36 76216 0.00092271
37 63433 0.00076795
38 52786 0.00063906
39 44122 0.00053417
40 36785 0.00044534
41 30834 0.00037329
42 25494 0.00030864
43 21170 0.0002563
44 17767 0.0002151
45 14657 0.00017745
46 12410 0.00015024
47 10299 0.00012469
48 8666 0.00010492
49 7355 0.00008904
50 5901 0.00007144
51 5017 0.00006074
52 4227 0.00005117
53 3452 0.00004179
54 2888 0.00003496
55 2470 0.0000299
56 2012 0.00002436
57 1626 0.00001969
58 1391 0.00001684
59 1135 0.00001374
60 924 0.00001119
61 840 0.00001017
62 694 0.0000084
63 534 0.00000646
64 498 0.00000603
65 372 0.0000045
66 316 0.00000383
67 286 0.00000346
68 224 0.00000271
69 197 0.00000238
70 160 0.00000194
71 125 0.00000151
72 86 0.00000104
73 79 0.00000096
74 94 0.00000114
75 70 0.00000085
76 64 0.00000077
77 38 0.00000046
78 42 0.00000051
79 27 0.00000033
80 33 0.0000004
81 16 0.00000019
82 18 0.00000022
83 19 0.00000023
84 14 0.00000017
85 6 0.00000007
86 4 0.00000005
87 9 0.00000011
88 4 0.00000005
89 5 0.00000006
90 5 0.00000006
91 1 0.00000001
92 6 0.00000007
93 1 0.00000001
94 3 0.00000004
95 1 0.00000001
96 1 0.00000001
97 2 0.00000002
102 1 0.00000001
Total 82600000 1

July 17, 2007
I know you’re skeptical of dice control. I have been practicing dice setting and controlled shooting for 3 months. What is the probability of throwing 78 sevens over 655 throws randomly? Thanks for the help :) — Eric B. from Boston MA
For large numbers of throws we can use the Gaussian Curve approximation. The expected number of sevens in 655 throws is 655 × (1/6) = 109.1667. The variance is 655 × (1/6) × (5/6) = 90.9722. The standard deviation is sqr(90.9722) = 9.5379. Your 78 sevens is 109.1667 – 78 = 31.1667 less than expectation. This is (31.1667 - 0.5)/9.5379 = 3.22 standard deviations below expectation. The probability of falling 3.22 or more standard deviations south of expectations is 0.000641, or 1 in 1,560. I got this figure in Excel, using the formula, normsdist(-3.22). June 2, 2007
How many throws of a die does it take before it is likely that you have thrown a 1, 2, 3, 4, 5, and 6 at least once each? Any ideas on generalizing this for an n-sided die? - Asif from Columbia, SC
Not that you asked, but let me address the mean first. For a six-sided die, the expected number of throws to get each face at least once is (6/6)+(6/5)+(6/4)+(6/3)+(6/2)+(6/1) = 14.7. For an n-sided die the expected throws is (n/n) + (n/(n-1)) + (n/(n-2)) + … + n. The median number of throws required is 13. The probability of taking 13 rolls or less is 51.4%, and 13 rolls or more is 56.21%. May 21, 2007
In a game called Taxation and Evasion, a player rolls a pair of dice. On any roll if the sum is 7,11, or 12, the player gets audited; any other sum they avoid taxes. If a player rolls the pair 5 times, what is the probability that he avoids taxes? – George P. from Stevens Point, WI
The probability of a 7, 11, or 12 is (6+2+1)/36 = 9/36 = 1/4. See my section on dice probability basics for how I arrived at that figure. The probability of rolling anything else is 3/4. The probability of going five rolls without rolling a 7, 11, or 12 is (3/4)5 = 23.73%. May 2, 2007
What is the probability of getting any given number more than once if you roll a die ten times? – Ryan from Silay
1-(5/6)10-10 × (1/6) × (5/6)9 = 51.55%. May 2, 2007
Two questions, please: 1) What is the probability of rolling 6,6,6,6,6,6 @ one time, with (6)6-sided die? 2)What is the probability of rolling 1,2,3,4,5,6 @ one time with (6) 6-sided die? Thanks! It’s killing me! – Heather from Petaluma
The probability of six sixes is (1/6)6 = 1 in 46656. The probability of rolling 1,2,3,4,5,6 with six dice is 6!/66 = 1 in 64.8 February 7, 2007
Somebody bet he that he could roll a total of 6 and 8, with two dice, before I could roll a total of seven twice. This seemed like a good bet because seven is the most common total. However I lost $2500 doing this over and over. What are the odds? – Anthony from Indiana
I’m afraid you had the square side of this bet. The probability of rolling two sevens before a six and eight is 45.44%. Here are all the possible outcomes. The first column is the order of petintent rolls to the outcome of the bet, ignoring all others.

Two Sevens before Six and Eight Bet
Relavant Rolls Probability Formula Outcome
6,8 0.142045 (5/16)*(5/11) Lose
8,6 0.142045 (5/16)*(5/11) Lose
6,7,8 0.077479 (5/16)*(6/11)*(5/11) Lose
7,6,8 0.053267 (6/16)*(5/16)*(5/11) Lose
8,7,6 0.077479 (5/16)*(6/11)*(5/11) Lose
7,8,6 0.053267 (6/16)*(5/16)*(5/11) Lose
7,7 0.140625 (6/16)*(6/16) Win
6,7,7 0.092975 (5/16)*(6/11)*(6/11) Win
8,7,7 0.092975 (5/16)*(6/11)*(6/11) Win
7,6,7 0.06392 (6/16)*(5/16)*(6/11) Win
7,8,7 0.06392 (6/16)*(5/16)*(6/11) Win

Basically, the reason the 6 and 8 is the better side is you can hit those numbers in either order: 6 then 8, or 8 then 6. With two sevens there is only one order, a 7 and then another 7. December 13, 2006

What is the classical probability of getting a total of 12 when 5 balanced dice are rolled? – Kennith H. from Winters
I hope you’re happy, I just added a new section answering questions such as this for 1 to 25 dice. As the five-dice table shows, the probability of rolling a total of 12 is 0.039223251028807. November 10, 2006
What is the expected number of tosses required in order to obtain at least one of each of the possible outcomes on an unbiased 6 sided dice? – Michael from Melbourne
If the probability of something is p then on average it will take 1/p trials for it to happen the first time. Obviously, on the first roll you'll cross off one number. The probability of rolling one of the other five numbers next is 5/6. So it will take on average 1/(5/6)=6/5=1.2 rolls for that to happen. Following that reasoning to the end, the expected number of rolls is (6/6)+(6/5)+(6/4)+(6/3)+(6/2)+(6/1) = 14.7. November 10, 2006
We are in a disagreement between workers. There is a bar down the street that has a shake a day. Which is, you must throw five dice at once and all five must end up being the same - "like yahtzee" - but he gives you three chances at it. But you must pick up all the dice all three times. So the question is what’s the odds to do it in one shake and what’s the odds to do it in the three shakes allowed. Thanks , if you already answered this before i am sorry but i couldt find it ,Thanks again – Dan and co workers at maple island from Forest Lake
The probability of a five-of-a-kind on one throw is 6*(1/6)5 = 1/1,296. This is because there are six different five-of-a-kinds (one to six) and the probability each die will be that number is (1/6). The probability of not getting a five-of-a-kind is 1-(1/1,296)=1,295/1,296. The probability of going three attempts without a three of a kind is (1,295/1,296)3=99.77%. So the probability of getting at least one five-of-a-kind in three tries is 100%-99.77% = 0.23%. October 17, 2006

Can you tell me the odds of rolling two of the same number with two dice, three dice, and four dice? I am wondering how many dice would one have to roll at one time so that the odds are on the side of the person rolling the dice. (It does not make any difference which number is doubled.) - Mary from Minneapolis, MN

Here is the probability of getting at least one number more than once according to the number of rolls:

Probability of a Pair or More
Rolls Probability
2 rolls16.67%
3 rolls44.44%
4 rolls72.22%
5 rolls90.74%
6 rolls98.46%

So if you were to book this you should offer the yes with 3 rolls or the no at 4 rolls. Feb. 1, 2006
If you can roll six dice only once, what is the probability of rolling 6,6,6,6,1, and 4 in any order? - Aubrey from Kokomo
There are 6!/(4!*1!*1!) = 30 ways to arrange these numbers in any order. Another way to look at it is there are 6 positions to put the 1, and 5 left to put the 4, so 6*5=30. The probability of getting 666614 in exactly that order is 1 in 66 = 1 in 46656. Multiply that by 30 for the 30 possible orders and the answer is 30/46656 = 0.0643%, or 1 in 1552.2. Nov. 9, 2005

There are 3 dice, 2 are proper six sided dice, while one is a die with all sides containing a six. All the dice are in my pocket. I randomly take out a die and throw it. The result is a 6. What is the probability that the die was one of the proper dice with 6 different values? - Annojh from Toronto

Let A = Choosing the normal die
Let B = Rolling a 6 with randomly chosen die
Answer = Pr(A given B) = Pr(A and B)/pr(B) = ((2/3)*(1/6))/((2/3)*(1/6)+(1/3)*1) = (2/18)/((2/18)+(6/18)) = 1/4. Nov. 9, 2005

In a recent programming exercise myself and other students were asked to describe a 6-sided die in code, and then use our dice to determine play simple game. The object of the game was to roll the dice until the sum of the tosses reached exactly 100. Any toss that put the total over 100 would not be added and merely added to statistics. Quickly it was determined that 17 throws would be the least amount of throws needed to reach 100. However calculating the odds of that occurring has proved elusive. Calculating the odds of a specific sequence of throws is rather straight forward, but how might one factor in both non-specific ordering of throws, and the different ways of reaching 100 in 17 throws (16*6 + 1*4 and 15*6 + 2*5)? - Björn from Göteborg, Sweden

The two ways you mention are the only ways to throw a total of 100 in 17 throws. The probability of throwing 16 sixes and one four is 17*(1/6)17. There are 17 possible positions of the 4 and each sequence has a probability of (1/6)*(1/6)*Ö*(1/6) with 17 terms. The number of ways to get 15 sixes and 2 fives is combin(17,2) = 136. So the probability of 15 sixes and 2 fives is 136*(1/6)17. So the total probability is (17+136)*(1/6)17. = 1 in 110,631,761,077. Sept. 25, 2005

Suppose we roll three fair six-sided dice. What's the conditional probability that the first dice shows 4, given that the sum of the three numbers showing is 12? -- Shikha from North Ryde

The probability of A given B is the probability of A and B divided by the probability of B. In this case the probability of rolling a 4 on the first die and then a total of 8 on the other two is (1/6)*(5/36) = 5/216. The probability of rolling any total of 12 with 3 dice is 25/216, as shown in my sic bo section. So the answer is (5/216)/(25/216) = 5/25 = 20%. Sept. 18, 2005

What is the probability of rolling 13 or more with 3, 4, and 5 dice, if you are allowed to keep the highest three dice in your roll?

Here are the probabilities:

3 dice: 25.93%
4 dice: 48.77%
5 dice: 66.13%. Jan. 9, 2005

If I roll a single die 6 times, what is the probability of getting a "2" exactly 4 times?

Combin(6,2)*(1/6)4*(5/6)2 = 0.008037551. Jan. 9, 2005

In the game of Yahtzee if only the Yahtzee itself is left on the card what is the probability of making it?

The following table shows the probability of success on the last roll according to the number of additional dice you need to make a Yahtzee.

Last Roll Yahtzee Probabilities

Needed

Probability
of Success

0

1

1

0.166667

2

0.027778

3

0.00463

4

0.000772

The next table shows the probabilities of improvement. The left column shows how many dice you need before any given roll and the top column shows how many you need after the roll. The body shows the probability of the given degree of improvement.

Probabilities of Improvement

Need Before Roll

0

1

2

3

4

Total

0

1

0

0

0

0

1

1

0.166667

0.833333

0

0

0

1

2

0.027778

0.277778

0.694444

0

0

1

3

0.00463

0.069444

0.37037

0.555556

0

1

4

0.000772

0.01929

0.192901

0.694444

0.092593

1

The next table shows the probability on the initial roll of needing 0 to 4 more dice to make a Yahtzee.

First Roll Yahtzee Probabilities

Needed

Probability

0

0.000772

1

0.019290

2

0.192901

3

0.694444

4

0.092593

The next table shows the probability of improvement and then eventual success according to the number needed after the first roll. For example, if the player needs 3 more dice to make a Yahtzee the probability of improving to needing 2 more after the second roll and making the Yahtzee on the third roll is 0.010288066.

Probabilities of Yahtzee after first roll according to number needed before and after second roll

Need Before Roll

0

1

2

3

4

Total

0

1

0

0

0

0

1

1

0.166667

0.138889

0

0

0

0.305556

2

0.027778

0.046296

0.01929

0

0

0.093364

3

0.00463

0.011574

0.010288

0.002572

0

0.029064

4

0.000772

0.003215

0.005358

0.003215

0.000071

0.012631

To get the final answer take the dot product of the number needed after the first roll two tables up and the probability of eventual success in the final column one table up. This is 0.092593*0.012631+ 0.694444*0.029064 + 0.192901*0.093364 + 0.019290*0.305556 + 0.000772*1 = 4.6028643%. To confirm this I did a 100,000,000 game simulation and the simulated probability was 4.60562%. Dec. 13, 2004

What is the probability of rolling 1,2,3,4,5,6 with six dice, six times in a row?

The probability of rolling 123456 with six dice in a single roll can be expressed as prob(second die does not match first die) * prob(third die does not match first or second die) * ... = 1*(5/6)*(4/6)*(3/6)*(2/6)*(1/6) = 0.015432. So the probability of doing this six times in a row is 0.0154326 = 1 in 74,037,208,411. Oct. 17, 2004

Hi Wizard, I wanted to know if you can answer this. In a popular gambling game in 17th century France, a player would roll a pair of dice 24 times. He would win his bet if at least one of these rolls was a double six. There was a debate at the time over whether the probability of winning was above or below an even 50%. Can you help me?

Sure, this is easy. The probability of rolling at least one 12 in 24 rolls is 1-(35/36)24 = 49.14%. So the odds favor betting against a 12. This is a clever bet because the expected number of twelves in 24 rolls is 2/3. However that does not mean the probability of a 12 is 2/3, because sometimes there will be more than one 12, and the player betting on 12 doesn't win any more for extra twelves after the first one. If the probability of winning any given trial is p, the number of trials is n, and the probability of at least one win is w then solving for n in terms of p and w gives us...

w=1-(1-p)n
1-w = (1-p)n
log(1-w) = log((1-p)n)
log(1-w) = n*log(1-p)
n= log(1-w)/log(1-p)

So in your example n = log(1-.5) / log(1-(1/36)) = log(0.5) / log(35/36) = 24.6051. So if the probability of success is 50% in 24.6 rolls it must be slightly less in 24 rolls. Oct. 17, 2004

What are the probabilities for a 5 of a kind, 4 of a kind, 3 of a kind, full house, 2 pair, pair, straight, and nothing with the roll of five dice?

  • Five of a kind: 6/65 = 0.08% (obvious)
  • Four of a kind: 5*6*5 = 1.93% (five possible positions for the singleton * 6 ranks for the four of a kind * 5 ranks for the singleton).
  • Full house: combin(5,3)*6*5/65 = 3.86% (combin(5,3) positions for the three of a kind * 6 ranks for the three of a kind * 2 ranks for the pair).
  • Three of a kind: COMBIN(5,3)*COMBIN(2,1)*6*COMBIN(5,2) / 65 = 15.43%. (combin(5,3) positions for the three of a kind * combin(2,1) positions for the larger of the singletons * 6 ranks of the three of a kind * combin(5,2) ranks for the two singletons.
  • Two pair: COMBIN(5,2)*COMBIN(3,2)*COMBIN(6,2)*4 / 65 = 23.15% (combin(5,2) positions for the higher pair * combin(3,2) positions for the lower pair * combin(6,4) ranks for the two pair * 4 ranks for the singleton.
  • Pair: COMBIN(5,2)*fact(3)*6*combin(5,3) / 65 = 46.30% (combin(5,2) positions for the pair * fact(3) positions for the three singletons * 6 ranks for the pair * combin(5,3) ranks for the singletons.
  • Straight: 2*fact(5) / 65 = 3.09% (2 spans for the straight {1-5 or 2-6} * fact(5) ways to arrange the order).
  • Nothing: ((COMBIN(6,5)-2)*FACT(5)) / 65 = 6.17% (combin(6,5) ways to choose 5 ranks out of six, less 2 for the straights, * fact(5) ways to arrange the order. Sept. 30, 2004

I recently attended a hospital fete. There was a new car as a prize if 7 dice produced 7 sixes in one throw. £1.00 a go. Odds on this must be high but how high?

The probability of throwing seven sixes with seven dice is (1/6)7 = 1 in 279,936. So the car would have to have a value of £279,936 or more for this to be a good bet. Even your average Rolls Royce is not worth this much, so I would say that was a terrible bet. September 30, 2004

[Bluejay adds: Uh, yeah, but I think the point was that it was for charity. What's more fun: Donating £1.00 to charity and getting nothing back but the good feeling of helping out, or donating £1.00 and getting the good feeling plus the longshot chance of winning a car?]

If two people throw a pair of dice, what is the probability that it is the same number? Is there a formula to figure this out?

Yes. You simply run through all totals from 2 to 12 and determine the probability of rolling each twice. So the answer would be (1/36)2+(2/36)2+(3/36)2+(4/36)2+(5/36)2+(6/36)2+(5/36)2+(4/36)2+(3/36)2+(2/36)2+(1/36)2 = 11.27%. September 23, 2004

If I roll three dice, what is the probability of getting at least two numbers the same?

The probability all numbers will be different is (5/6)*(4/6)=20/36. So the probability at least two numbers will be the same is 1-(20/36) = 16/36 = 44.44%. July 11, 2004

If I throw 36 dice what is the probability of getting at least one six?

1-(5/6)36 = 99.86% April 22, 2004

Great site. I refer to it often as a gambler with an interest in probability and statistics, but this question actually pertains to my work. My HR Department insists that I rate my small staff (5 people) on a bell curve--one in the top 5% of all employees, one in the next 20%, one in the next 50%, one in the next 20%, and one in the bottom 5%. The company has approximately 5000 employees. What is the probability of such a small sample size fitting this distribution?

Thanks for the compliment. This is a good problem. The probability that exactly one employee will be in the bottom 5% is 5*(.05)*(.95)4 = 0.203627. Given that one employee is in the lowest 5% the probability of exactly one in the next 20% is 4*(.2/.95)*(.75/.95)3 = 0.414361. Given these two underachievers the probability of exactly one in the next 50% out of the remaining 75% is 3*(.5/.75)*(.25/.75)2 = 0.222222. The probability that one of the remaining two falls in the lower 20% of 25% is 2*(.2/.25)*(.05/.25) = 0.32. Taking the product of all these probabilities we get 0.006, or 3/5 of 1%. April 4, 2004

If I kept throwing and removed all the sixes each time, how would I predict the theoretical number of dice remaining after a particular number of throws?

Each roll the expectation is that 5/6 of the dice will remain. So the expected number of dice remaining after n throws would be 36*(5/6)n. For example after 10 throws you would have 5.81 dice left, on average. April 22, 2004

If I have any given number of dice what is the probability that if I roll them all of them at least one will land on a one?

The probability that all the dice will not be a one is (5/6)n. So the probability of at least one 1 is 1-(5/6)n. Let's take an example of five dice. The answer would be 1-(5/6)5 = 59.81%. Jan. 4, 2004

A fair sided die is rolled 30 times. What is the expected number of times that number 1 will come up? What is the probability that number 1 will come up it's expected number of times?

The expected number of ones is 30*(1/6) = 5. The probability of exactly 5 ones is combin(30,5)*(1/6)5*(5/6)25 = 19.21%. Sept. 26, 2003

What is the probability of getting a straight by a single throw of 5 dice? - Teodoro C. Deocares from Dagupan, Philippines

There are two possible spans: 1 to 5 and 2 to 6. Each of these spans can be ordered in 5!=120 ways. There are 65 = 7776 ways to roll five dice. So the probability is 2*120/7776 = 3.09%. The probability of this seems to be much higher right after I put mark 0 for large straight during a game of Yahtzee. Aug. 31, 2002

I recently rolled, during a game of backgammon, double sixes four consecutive times. What are the odds of this happening again? - David from Sunland, USA

With every new roll the probability the next four rolls will be all double sixes is (1/36)4 = 1 in 1679616. Aug. 31, 2002

My friend owns a bar and has a "shake of the day" where there are ten dice in a Tupperware container, what are the odds of matching 8 out of the 10 in one shake. Thank you for your time. - August from Oshkosh, USA

The probability that if you roll 10 dice and exactly 8 numbers are the same is 6*combin(10,8)*(1/6)8*(5/6)2 = 1/8957.952. The probability of matching at least 8 is 6*[combin(10,8)*(1/6)8*(5/6)2 + combin(10,9)*(1/6)9*(5/6) + (1/6)10] = 1/8569.469. June 28, 2002

What is the probability of rolling a "pair" when tossing 4 dice? - Anthony from Toronto, Canada

The pair can be any one of 6 numbers. The other two singletons can be among the other five. So there are 6*combin(5,2)=60 combinations already. There are combin(4,2)=6 combinations of dice on which the pair can appear. The two singletons can be arrange in two ways. So there are 60*12=720 ways to throw a pair. The total number of all ways to throw the dice is 64=1296. So the probability is 720/1296 =~ 55.56%. Jan. 2, 2002

What is the probability of any one die showing ONE when 3 dice are throw together. My understanding is it should be 50% chance (1/6+1/6+1/6=1/2 -->50%) But in your odds table it shown 34.72%. Please help. - John C. from Singapore

The probability of rolling exactly one one with three dice is 3*(5/6)2*(1/6) = 75/216 = 34.72%. Nov. 11, 2001

How many different ways are there of rolling 3 ones using 6 dice? - Jamie Cook from Croydon, England

First there are combin(6,3)=20 ways you can choose three dice out of 6 for the three ones. Then each of the other three can be any of five numbers. So the total ways are 20*53=2500. The total number of ways to throw all the dice are 66=46656, so the probability of rolling three ones is 2500/46656=0.0536. For help with the combin function see my probabilities in poker section. June 6, 2001

If I roll a die, my probability of rolling a six is 1\6. If I roll two dice, does my probability of rolling a six on one of them increase, or does it stay at 1\6? - Mike R. from Rosemount.

If you rolled x dice the probability of getting at least one 6 is 1-(5/6)2. In the case of two dice this is 30.56%. May 1, 2001

Mr. Wizard, what is the probability of rolling two pair when rolling four dice? - Brian from St. Catharines, Canada

There are combin(6,2)=15 different sets of pairs possible. There are combin(4,2)=6 ways the dice can roll any specific two pair. There are 6^4=1296 ways to roll four dice. So the probability is 90/1296=.069444. Feb. 10, 2001

I am interested in finding out some specific information on the odds of rolling dice. If you have 6 dice and roll them all at once, the odds of rolling all "1's" is 46,656. My question is what are the odds of rolling (5) 1's, (4) 1's, (3) 1's, (2) 1's, and (1) 1. I am really interested in finding out the formula that should be used to calculate this type of problem. -- Ken from ?

The probability of rolling x ones out of y dice is combin(y,x)*(1/6)x*(5/6)y-x. See my section on probabilities in poker for an explanation of the combin(x,y) function. For example the probability of rolling 4 ones is combin(6,4)*(1/6)4*(5/6)2 = 0.803755%. Dec. 31, 2000

How often can you roll a pair of dice 28 times without getting a 7? How do you figure this? Congratulation on your site, it's great. - Arturo Gomez from Mexico City, Mexico

Thanks for the compliment. I take it you mean what is the probability of rolling a pair of dice 28 times without getting a 7. The probability of not rolling a 7 on any one roll is 5/6. The probability of not rolling a 7 in 28 rolls is (5/6)28 = 0.006066, or about 1 in 165. Oct. 5, 2000

Q: What are the odds of rolling the same number with six dice in one roll? ñ Kyle Hill of Colstrip, Montana

A: The odds of getting six of the same number with six dice is 6*(1/6)6=1/7776 =~ 0.01286%. Sept. 3, 2000

Q: If you are rolling 6-six sided standard dice what are the odds of rolling six of a kind? - Jeff Blum of Miami, Florida

The answer is 6*(1/6)6 = 6/46656 = 1/7776 =~ 0.0001286 . March 4, 2000
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