Powerball Odds

  
https://en.wikipedia.org/wiki/There's_a_sucker_born_every_minute )
  • The odds of winning the Powerball jackpot are 1:292,201,338, but as insurmountable as that might seem, it's not impossible to win! If you're in it to win Powerball or one of the other huge jackpots out there, the table below compares the jackpot odds in some of the most popular lotteries from around the world.
  • To win the money (or a lump sum option worth roughly $716 million), someone would have to beat staggering odds. The odds of winning that jackpot are one in 302.5 million, according to Mega Millions.
  • The odds stay the same—in the lottery and the coin toss—regardless of the frequency of playing. You can, however, increase your odds by purchasing more tickets for the same lottery drawing.

In any combinatorics problem where all possible outcomes are equally likely, the probability of a successful outcome is determined by finding the number of successful combinations, and then dividing by the total number of all combinations. There are nine possible configurations that will win something in the Powerball Lottery. For each of these, the probability of winning equals the number of winning combinations for that particular configuration divided by the total number of ways the Powerball numbers can be picked.
Powerball Total Combinations

Jackpot pokies. Jackpot probability/odds (Payout varies) The number of ways the 5 numbers on your lottery ticket can match the 5 white balls is COMBIN (5,5) = 1. The number of ways your Powerball number can match the single Powerball number is: COMBIN (1,1) = 1.

Since the total number of combinations for Powerball numbers is used in all the calculations, we will calculate it first. The number of ways 5 numbers can be randomly selected from a field of 69 is: COMBIN(69,5) = 11,238,513. (See the math notation page or Help in Microsoft's Excel for more information on “COMBIN”).
For each of these 11,238,513 combinations there are COMBIN(26,1) = 26 different ways to pick the Powerball number. The total number of ways to pick the 6 numbers is the product of these. Thus, the total number of equally likely Powerball combinations is 11,238,513 x 26 = 292,201,338. We will use this number for each of the following calculations.
Jackpot probability/odds (Payout varies)
The number of ways the 5 numbers on your lottery ticket can match the 5 white balls is COMBIN(5,5) = 1. The number of ways your Powerball number can match the single Powerball number is: COMBIN(1,1) = 1. The product of these is the number of ways you can win the Jackpot: COMBIN(5,5) x COMBIN(1,1) = 1. The probability of success is thus: 1/292,201,338 = 0.000000003422297813+. If you express this as “One chance in ???”, you just divide “1” by the 0.000000003422297813+, which yields “One chance in 292,201,338”.
Match all 5 white balls but not the Powerball (Payout = $1,000,000)
The number of ways the 5 numbers on your lottery ticket can match the 5 white balls is COMBIN(5,5) = 1. The number of ways your Powerball number can match any of the 25 losing Powerball numbers is: COMBIN(25,1) = 25. (Pick any of the 25 losers.) Thus there are COMBIN(5,5) x COMBIN(25,1) = 25 possible combinations. The probability for winning $1,000,000 is thus 25/292,201,338 ~= 0.00000008556 or “One chance in 11,688,053.52”.
Match 4 out of 5 white balls and match the Powerball (Payout = $50,000)
The number of ways 4 of the 5 winning numbers on your lottery ticket can match the 5 white balls is COMBIN(5,4) = 5. The number of ways the losing white number on your ticket can match any of the 64 losing white numbers is COMBIN(64,1) = 64. The number of ways your Powerball number can match the single Powerball number is: COMBIN(1,1) = 1. The product of these is the number of ways you can win this configuration: COMBIN(5,4) x COMBIN(64,1) x COMBIN(1,1) = 320. The probability of success is thus: 320/292,201,338 ~= 0.000001095 or “One chance in 913,129.18”.
Match 4 out of 5 white balls but not match the Powerball (Payout = $100)
The number of ways 4 of the 5 winning numbers on your lottery ticket can match the 5 white balls is COMBIN(5,4) = 5. The number of ways the losing white number on your ticket can match any of the 64 losing numbers is COMBIN(64,1) = 64. The number of ways your Powerball number can miss matching the single Powerball number is: COMBIN(25,1) = 25. The product of these is the number of ways you can win this configuration: COMBIN(5,4) x COMBIN(64,1) x COMBIN(25,1) = 8,000. The probability of success is thus: 8,000/292,201,338 ~= 0.00002738 or “One chance in 36,525.17”.
Match 3 out of 5 white balls and match the Powerball (Payout = $100)
The number of ways 3 of the 5 winning numbers on your lottery ticket can match the 5 white balls is COMBIN(5,3) = 10. The number of ways the 2 losing white numbers on your ticket can match any of the 64 losing white numbers is COMBIN(64,2) = 2,016. The number of ways your Powerball number can match the single Powerball number is: COMBIN(1,1) = 1. The product of these is the number of ways you can win this configuration: COMBIN(5,3) x COMBIN(64,2) x COMBIN(1,1) = 20,160. The probability of success is thus: 20,160/292,201,338 ~= 0.00006899 or “One chance in 14,494.11”.
Match 3 out of 5 white balls but not match the Powerball (Payout = $7)
The number of ways 3 of the 5 winning numbers on your lottery ticket can match the 5 white balls is COMBIN(5,3) = 10. The number of ways the 2 losing white numbers on your ticket can match any of the 64 losing numbers is COMBIN(64,2) = 2,016. The number of ways your Powerball number can miss matching the single Powerball number is: COMBIN(25,1) = 25. The product of these is the number of ways you can win this configuration: COMBIN(5,3) x COMBIN(64,2) x COMBIN(25,1) = 504,000. The probability of success is thus: 504,000/292,201,338 ~= 0.001725 or “One chance in 579.76”.
Match 2 out of 5 white balls and match the Powerball (Payout = $7)
The number of ways 2 of the 5 winning numbers on your lottery ticket can match the 5 white balls is COMBIN(5,2) = 10. The number of ways the 3 losing white numbers on your ticket can match any of the 64 losing white numbers is COMBIN(64,3) = 41,664. The number of ways your Powerball number can match the single Powerball number is: COMBIN(1,1) = 1. The product of these is the number of ways you can win this configuration: COMBIN(5,2) x COMBIN(64,3) x COMBIN(1,1) = 416,640. The probability of success is thus: 416,640/292,201,338 ~= 0.001426 or “One chance in 701.33”.
Match 1 out of 5 white balls and match the Powerball (Payout = $4)
The number of ways 1 of the 5 winning numbers on your lottery ticket can match the 5 white balls is COMBIN(5,1) = 5. The number of ways the 4 losing white numbers on your ticket can match any of the 64 losing white numbers is COMBIN(64,4) = 635,376. The number of ways your Powerball number can match the single Powerball number is: COMBIN(1,1) = 1. The product of these is the number of ways you can win this configuration: COMBIN(5,1) x COMBIN(64,4) x COMBIN(1,1) = 3,176,880. The probability of success is thus: 3,176,880/292,201,338 ~= 0.01087 or “One chance in 91.98”.
Match 0 out of 5 white balls and match the Powerball (Payout = $4)
The number of ways 0 of the 5 winning numbers on your lottery ticket can match the 5 white balls is COMBIN(5,0) = 1. The number of ways the 5 losing white numbers on your ticket can match any of the 64 losing white numbers is COMBIN(64,5) = 7,624,512. The number of ways your Powerball number can match the single Powerball number is: COMBIN(1,1) = 1. The product of these is the number of ways you can win this configuration: COMBIN(5,0) x COMBIN(64,5) x COMBIN(1,1) = 7,624,512. The probability of success is thus: 7,624,512/292,201,338 ~= 0.02609 or “One chance in 38.32”.
Probability of winning something
If we add all the ways you can win something we get:
1 + 25 + 320 + 8,000 + 20,160 + 504,000 + 416,640 + 3,176,880 + 7,624,512 = 11,750,538. If we divide this number by 292,201,338, we get .04021+ as a probability of winning something. 1 divided by 0.04021- yields “One chance in 24.87” of winning something.
Corollary
You can get a close estimate for the number of tickets that were in play for any given game by multiplying the announced number of “winners” by the above 24.87. Thus, if the lottery officials proclaim that a given lottery drawing had 3 million “winners”, then there were about 3,000,000 x 24.87 ~= 74,601,181 tickets purchased that did not win the Jackpot. Alternately, there were about 74,601,181 - 3,000,000 ~= 71,601,181 tickets that did not win anything.
Probability of not matching anything
Match 0 out of 5 white numbers and not match the Powerball

The number of ways 0 of the 5 first numbers on your lottery ticket can match the 5 white balls is COMBIN(5,0) = 1. The number of ways the 5 losing initial numbers on your ticket can match any of the 64 losing White numbers is COMBIN(64,5) = 7,624,512. The number of ways your final number can fail to match the Powerball number is: COMBIN(25,1) = 25. The product of these numbers is the number of ways you can get this configuration: COMBIN(5,0) x COMBIN(64,5) x COMBIN(25,1) = 190,612,800. The probability of failing to match anything is thus: 190,612,800/292,201,338 = 0.65233377 or just under two times out of every 3 tickets.
Probability of multiple winning tickets (multiple winners) given “N” tickets in play

(Note: All calculations assume that the numbers on any given ticket are picked randomly. In practice, many people pick numbers based on family birthdays, etc., and thus many tickets will have a preponderance of low numbers. As a consequence, the probabilities of a single Jackpot winner will be somewhat lower and the probabilities of no winner or multiple winners will tend to be slightly higher than the numbers shown below. Also if the numbers picked in the drawing are clustered at the high end of the 1 - 69 range, there will tend to be relatively less “partial match” winners. The reverse will hold true if the drawing numbers cluster in the low end of the number range.)
The above chart shows the probabilities of “No Winners”, “One Winner”, and “Two or more Winners” for various numbers of tickets in play.
Each entry in the following table shows the probability of 'K' tickets holding the same winning Jackpot combination given that 'N' tickets are in play for a given Powerball game. It is assumed that the number selections on each ticket are picked randomly. For example, if 100,000,000 tickets are in play for a Powerball game, then there is a 0.0416 probability that exactly two of these tickets will have the same winning combination.
(Note: You can get a rough estimate of the number of tickets in play as follows. If the preceding Powerball game had no Jackpot winner, the number of tickets in play is approximately equal to the dollar increase in the annuity Jackpot. For example, if the preceding game had an annuity payout amount of $350,000,000 and the current game has an annuity payout amount of $400,000,000, then there are about 400,000,000 - 350,000,000 = 50,000,000 tickets in play for the current game. (Each ticket sold for $2.) A history of these past jackpot amounts (subtract about 50 % from the stated jackpot amount to get the cash payout) can be seen at:
http://www.lottoreport.com/ticketcomparison.htm)
The following table gives the probabilities that exactly 'K' tickets will share a Jackpot given that there are 'N' tickets in play.
“N” Number “K”
of tickets Number of tickets holding the Jackpot combination
in play 0 1 2 3 4 5 6
--------------------------------------------------------------------
-
100,000,000 0.7102 0.2430 0.0416 0.0047 0.0004 0.0000 0.0000
200,000,000 0.5044 0.3452 0.1181 0.0270 0.0046 0.0006 0.0001
300,000,000 0.3582 0.3678 0.1888 0.0646 0.0166 0.0034 0.0006
400,000,000 0.2544 0.3482 0.2383 0.1088 0.0372 0.0102 0.0023
500,000,000 0.1807 0.3091 0.2645 0.1509 0.0645 0.0221 0.0063
600,000,000 0.1283 0.2634 0.2705 0.1851 0.0950 0.0390 0.0134
700,000,000 0.0911 0.2183 0.2615 0.2088 0.1250 0.0599 0.0239
800,000,000 0.0647 0.1772 0.2425 0.2213 0.1515 0.0830 0.0379

Any entry in the table can be calculated using the following equation:
Prob. = COMBIN(N,K) x (Pwin^K) x (Pnotwin^(N-K))
Where:
N = Number of tickets in play
K = Number of tickets holding the Jackpot combination
Pwin = Probability that a random ticket will win ( = 1 / 292,201,338 = 0.00000000342)
Pnotwin = (1.0 - Pwin) = 0.99999999658
COMBIN(N,K) = number of ways to select K items from a group of N items
x = multiply terms
^ = raise to power (e.g. 2^3 = 8 )
Sample Calculation to Find the Expected Ticket Value
Considering the Number of Tickets that are in Play


For this example we will assume the cash value of the Jackpot is $600,000,000 and there are 200,000,000 tickets in play for the current game. Probability values are from the “200,000,000” row above.
The first calculation is: “What is the probability that the jackpot will be won?” This is simply (1.00 – the probability that no one will win) = 1.00 – 0.5044 = 0.4956. Thus the expected jackpot payout by the lottery is $600,000,000 times 0.4956 = $297,382,360.
If there are 200,000,000 tickets in play, then we divide the $297,382,360 by 200,000,000 to get an average jackpot payout per ticket of $1.49. The other smaller prizes add $0.3199 to this amount to give an 'expected before tax, cash value of $1.81.
These calculations can be used to form a table that shows the expected return per ticket ( = expected value per ticket). For example if the cash value of the jackpot is $600,000,000 and there are 200,000,000 tickets in play, then the ticket’s expected value is $1.81.
The following table shows the 'Expected Before Taxes Value' (includes $0.3199 for the smaller prizes) of a $2.00 ticket.

Nbr. Tickets
In Play < - Cash (not annuity) Jackpot Size in Millions - >
In Millions 100 200 300 400 500 600 700 800 900 1000
-----------------------------------------------------------------------
100 0.61 0.90 1.19 1.48 1.77 2.06 2.35 2.64 2.93 3.22
200 0.57 0.82 1.06 1.31 1.56 1.81 2.05 2.30 2.55 2.80
300 0.53 0.75 0.96 1.18 1.39 1.60 1.82 2.03 2.25 2.46
400 0.51 0.69 0.88 1.07 1.25 1.44 1.62 1.81 2.00 2.18
500 0.48 0.65 0.81 0.98 1.14 1.30 1.47 1.63 1.79 1.96
600 0.47 0.61 0.76 0.90 1.05 1.19 1.34 1.48 1.63 1.77
700 0.45 0.58 0.71 0.84 0.97 1.10 1.23 1.36 1.49 1.62
800 0.44 0.55 0.67 0.79 0.90 1.02 1.14 1.26 1.37 1.49
900 0.43 0.53 0.64 0.74 0.85 0.96 1.06 1.17 1.27 1.38
1000 0.42 0.51 0.61 0.71 0.80 0.90 1.00 1.09 1.19 1.29

We can also see what happens to the expected value of a ticket if a buying frenzy should develop at this point. Let’s assume that 300 million more tickets are sold. At $2,00 per ticket, the lottery takes in $600 million. 1/2 of this goes into the total prize pot. (1/3 for the jackpot and 1/6 for the smaller prizes.) The jackpot is now worth $600 million plus $200 million = $800 million.
Thus the game is transformed into 500 million tickets in play for a cash jackpot that is now worth $800 million. If we follow the 500-million row to the right until we reach the $800 million column, we find an expected cash value of $1.63. The buying frenzy has reduced the expected value of a ticket from $1.81 to $1.63.
The Powerball game includes an optional “Power Play”. If you spend an extra $1 for the “Power Play”, then the low order prizes are increased as shown in the following table.
The Power Play has a random multiplier as per the following table.
Multiplier times
Multiplier Probability Probability
2X 24/43 1.1163
3X 13/43 0.9070
4X 3/43 0.2791
5X 2/43 0.2326
10X 1/43 0.2326
Sum 2.7674

Thus the expected average total payout if you pay for the Power Play option is 2.7674 times the original payouts. Since you would get the original payouts without paying for the Power Play option, the net value of the Power Play is the increase in payout amounts. This increase in payout amounts is: 2.7674 – 1.0 = 1.7674 times the original payout amounts. We can use this 1.7674 multiplier to calculate the expected return if you pay the extra $1.00 for the Power Play option.

Payout Increased Exp. Val
Without Payout With Prob. of Expected After
Match Power Play Power Play of result Value Taxes
5 for 5 not PB 1,000,000 1,000,000 8.556E-08 0.0856 0.0513
4 for 5 with PB 50,000 88,372.09 1.095E-06 0.0968 0.0581
4 for 5 not PB 100 176.74 2.738E-05 0.0048 0.0048
3 for 5 with PB 100 176.74 6.899E-05 0.0122 0.0122
3 for 5 not PB 7 12.37 0.0017248 0.0213 0.0213
2 for 5 with PB 7 12.37 0.0014259 0.0176 0.0176
2 for 5 not PB 4 7.07 0.0108722 0.0769 0.0769
1 for 5 with PB 4 7.07 0.0260934 0.1845 0.1845
Total 0.4997 0.4268

Each row shows the combination involved, the payout amount without including the Power Play, the increased payout amount with Power Play included, the probability of the particular output, the expected value for this contribution, and the expected value after 40% is deducted for federal, state, and local taxes. The “Expected Value” is the increase in payout amount times the probability. The total line shows that for each $1.00 that you spend for a Power Play option, you can expect to get back only $0.4997. Taxes reduce this long term expected payout to less than $0.43 for each dollar you pay for the Power Play.
An analysis for Power Play without the 10X option shows the same approximate $0.50 per $1.00 spent return.
Return on Investment

It is interesting to calculate what the long term expected return is for each $2.00 lottery ticket that you buy.
The first task is to construct a table where each row lists the winning combination, the payout, the probability of this payout, and the contribution to the expected return (Equals payout times probability.) The probabilities are the same ones we derived earlier. A $200,000,000 cash payout (decline the annuity) is assumed for the Jackpot. (Would be your portion of a shared Jackpot.)

Combination Payout Probability Contribution
---------------------------------------------------------
5 White + PB $200,000,000 3.42230E-09 $0.6845
5 White No PB 1,000,000 8.55574E-08 0.0856
4 White + PB 50,000 1.09514E-06 0.0548
4 White No PB 100 2.73784E-05 0.0027
3 White + PB 100 6.89935E-05 0.0069
3 White No PB 7 0.001724838 0.0121
2 White + PB 7 0.001425866 0.0100
1 White + PB 4 0.010872229 0.0435
PB 4 0.026093351 0.1044
Total 0.040213840 1.0043
Total for last 6 rows 0.1796
(Used for after tax calculation)

Thus, for each $2.00 that you spend for Powerball tickets, you can expect to get back about $1.0043. Of course you get to pay taxes on any large payout, so your net return is even less.
Expected after tax return on your $2.00 ticket investment
when a huge Jackpot is in play


While the above calculation represents an average Powerball game, we might ask what the expected after tax return on your investment might be if a huge Jackpot exists. The following analysis assumes the annuity value of the Jackpot is $2 Billion (that’s a “B”) and there are 600 million tickets in play. The cash value for any Jackpot is about one-half the annuity value which brings the real value down to $1,000,000,000. All prizes of $50,000 and above are reduced 40% to allow for federal and state taxes. Don’t forget that a large prize will throw you into a top tax bracket.
First, we check the expected value of a ticket in the table that we calculated earlier. Follow the 600-million row until you come to the $1,000 million column. The expected cash value of the ticket is $1.77.This included $0.3199 for the smaller prizes so $0.3199 has to be subtracted back out. This leaves $1.45 for the Jackpot component. However, this has to be reduced by 40% for taxes. This leaves an expected after tax value of the jackpot of $0.8717.
Next we include the after tax expected value from the two >= $50,000 prizes. This equals 0.0856+ 0.0548 = 0.1403 less 40% for taxes to give us an additional $0.0842.
Finally, we add in the expected value for the “Total for last 6 rows” This adds another 0.1796 for our expected return. The sum of these three numbers is the expected after tax return for this particular combination. $0.8717 + $0.0842 + $ 0.1796 = $1.1355 expected after tax return for each $2 that you spend per ticket.
The expected value of a ticket will vary depending on how many tickets are in play (shared jackpot calculations) as well as the payout rules for a game. If the number of tickets in play were proportional to the size of the jackpot, then the expected value of a ticket would asymptotically approach (gradually approach but never quite reach) some fixed value. (Proportional increase = If the size of the jackpot doubled, then the number of tickets in play would double.)
In practice, buying frenzies develop when a large jackpot exists – particularly if the quoted jackpot is larger than any previous jackpot. Thus the number of tickets in play increases faster than a simple proportional increase. When this happens, the expected value of a ticket will actually decrease when huge jackpots exist. We saw this happen with the very large “Billion dollar” jackpot in mid Jan. 2016. The more the jackpot increases, the greater the buying frenzy. The result is that the expected value of a ticket is actually decreasing even though the quoted size of the jackpot is increasing.
Thus the general shape of a graph plotting of the “expected value” of a ticket will resemble the shape of the red line in the graph shown earlier.
This principle of decreasing “expected value” can be illustrated by 2 simple examples. We will assume that the only prize is the jackpot. Also 1/3 of any new money that is spent on tickets is used to increase the jackpot. (This is the way that Powerball is actually run.) In both cases we will assume that a $1 billion cash value jackpot exists prior to ticket purchases.
Example 1)
One ticket is purchased. Net proceeds to the lottery are 1 x $2.00 = $2.00. 1/3 of this is 2 divided by 3 = $0.67. This is added to the cash value of the lottery which brings the jackpot up to $1,000,000,000.67. If only 1 ticket is in play, then no adjustment has to be made for splitting the jackpot. The before tax expected value of the ticket is the value of the jackpot divided by the number of combinations. This becomes $1,000,000,000.67 divided by 292,201,338 = $3.42. This has to be reduced by 40% to get the after tax expected value. $3.42 less 40% = $2.05. The expected after tax value of the ticket is $2.05 - which would be marginaly profitable.
Example 2)
One billion (1,000,000,000) tickets are purchased. Net proceeds to the lottery are 1,000,000,000 x $2.00 = $2,000,000,000.00. 1/3 of this is 2,000,000,000 divided by 3 = $666,666,666.67. This is added to the cash value of the lottery which brings the jackpot up to $1,666,666,666.67. There is a 0.9674 probability that at least one winner will exist if 1,000,000,000 tickets in play. If there are 1,000,000,000 tickets in play, then the expected jackpot per ticket is $1.6123. The $1.6123 payout has to be reduced by another 40% to give an after tax return. Thus brings the after tax expected share of the jackpot down to $0.9674. You spent $2.00 for an expected after tax return of $0.97.
Percentile Expected Returns on Ticket Purchases

The average return per $ 2.00 ticket includes the extremely low probability that you might win a large prize – for example $50,000 or more. As a practical matter, it is unlikely that you will ever buy enough tickets (fork out enough money) to ever have much of a chance for any of the large prizes. Thus it is probable that all you will ever get back from your ticket purchases are piddling small amounts.
The percentages for these small amounts can be calculated. The table below shows the percentage chances for various “piddling returns”.
If you spend $2,000 to buy 1,000 tickets (1 ticket for each of 1,000 Powerball games), there is a:
49.67 % chance that you will get back $172 or less
59.94 % chance that you will get back $180 or less
69.98 % chance that you will get back $189 or less
79.76 % chance that you will get back $201 or less
90.08 % chance that you will get back $231 or less
94.97 % chance that you will get back $268 or less
97.98 % chance that you will get back $295 or less
99.00 % chance that you will get back $314 or less
99.50 % chance that you will get back $346 or less
99.88 % chance that you will get back $504 or less
Even if you buy 1,000 tickets, your chance of winning a $50,000 or larger prize is less than 0.12 %.
Government statistics show there are about 1.7 automobile caused fatalities for every 100,000,000 vehicle-miles. If you drive one mile to the store to buy your lottery ticket and then return home, you have driven two miles. Thus the probability that you will join this statistical group is 2 x 1.7 / 100,000,000 = 0.000000034. This can also be stated as “One in 29,411,765-”. Thus, if you drive to the store to buy your Powerball ticket, your chance of being killed (or killing someone else) is about 10 times greater than the chance that you will win the Powerball Jackpot.
Alternately, if you “played” Russian Roulette 100 times per day every day for 79 years with Powerball Jackpot odds, you would have better than a 99% chance of surviving.
3rd Thoughts

A lottery is a “Zero-sum game”. What one group of participants gains in cash, the other group of participants must lose. If we made a list of all the participants in a lottery, it might include:
1) Federal Government (Lottery winnings are taxable)
2) State Governments (Again lottery winnings are taxable)
3) State Governments (Direct share of lottery ticket sales)
4) Merchants that sell tickets (Paid by the lottery organizers)
5) Lottery companies (Hint: They are not doing all this for free)
6) Advertisers and promoters (Paid by the lottery companies)
7) Lottery ticket buyers (Buy lottery tickets and receive payouts)
The winners in the above list are:
1) Federal Government
2) State Government (Taxes)
3) State Government (Direct share)
4) Merchants that sell tickets
5) Lottery companies
6) Advertisers and promoters
And the losers are:
(Mathematically challenged and proud of it)
Also please see the related calculations for Mega Millions
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  1. Odds vs Evens

This table highlights every possible combination of odd and even numbers and how many times that combination of odd and even numbers has been drawn in the Powerball.

USD $42 M
Days
00 23 22 21 20 19 18 17 16 15 14 13 12 11 10 09 08 07 06 05 04 03 02 01
00 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 09 08 07 06 05 04 03 02 01
00 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 09 08 07 06 05 04 03 02 01
  • 1992 - 1997
  • 1997 - 2002
  • 2002 - 2005
  • 2005 - 2009
  • 2009 - 2012
  • 2012 - 2015
  • 2015 - 2021
  • All Draws
  • First Draw
  • Last Draw
    01 November 1997
  • Total Draws
Frequency of Powerball Odd and Even Main Numbers:
Evens Odds Frequency
0516
14108
23177
32186
4180
5011
Frequency of Powerball Odd and Even Powerball Numbers:
Evens Odds Frequency
01287
10291
  • First Draw
  • Last Draw
    05 October 2002
  • Total Draws
Frequency of Powerball Odd and Even Main Numbers:
Evens Odds Frequency
0515
1465
23186
32161
4177
5010
Frequency of Powerball Odd and Even Powerball Numbers:
Evens Odds Frequency
01256
10258
Frequency of Powerball Odd and Even Power Play Numbers:
Evens Odds Frequency
01106
1060
  • First Draw
  • Last Draw
    27 August 2005
  • Total Draws
Frequency of Powerball Odd and Even Main Numbers:
Evens Odds Frequency
055
1454
23100
3287
4150
506
Mega millions vs powerball odds
Frequency of Powerball Odd and Even Powerball Numbers:
Evens Odds Frequency
01161
10141
Frequency of Powerball Odd and Even Power Play Numbers:
Evens Odds Frequency
01185
10117
  • First Draw
  • Last Draw
    03 January 2009
  • Total Draws
Frequency of Powerball Odd and Even Main Numbers:
Evens Odds Frequency
0514
1447
23105
32122
4150
5012
Frequency of Powerball Odd and Even Powerball Numbers:
Evens Odds Frequency
01171
10179
Frequency of Powerball Odd and Even Power Play Numbers:
Evens Odds Frequency
01174
10176
  • First Draw
  • Last Draw
    14 January 2012
  • Total Draws
Frequency of Powerball Odd and Even Main Numbers:
Evens Odds Frequency
057
1447
2396
32112
4143
5011
Frequency of Powerball Odd and Even Powerball Numbers:
Evens Odds Frequency
01174
10142
Frequency of Powerball Odd and Even Power Play Numbers:
Evens Odds Frequency
01147
10169
  • First Draw
  • Last Draw
    03 October 2015
  • Total Draws

Powerball

Frequency of Powerball Odd and Even Main Numbers:
Evens Odds Frequency
056
1465
23140
32104
4165
508
Frequency of Powerball Odd and Even Powerball Numbers:
Evens Odds Frequency
01211
10177
Frequency of Powerball Odd and Even Power Play Numbers:
Evens Odds Frequency
01281
10107
  • First Draw
  • Last Draw
    06 February 2021
  • Total Draws
Frequency of Powerball Odd and Even Main Numbers:

Powerball Odds Calculator

Evens Odds Frequency
0516
1496
23184
32168
4180
5014
Frequency of Powerball Odd and Even Powerball Numbers:
Evens Odds Frequency
01272
10286
Frequency of Powerball Odd and Even Power Play Numbers:
Evens Odds Frequency
01207
10351
  • First Draw
  • Last Draw
    06 February 2021
  • Total Draws
Frequency of Powerball Odd and Even Main Numbers:
Evens Odds Frequency
0579
14482
23988
32940
41445
5072

Powerball Odds Of Winning Jackpot

Frequency of Powerball Odd and Even Powerball Numbers:

Powerball Odds Of Winning Chart

Evens Odds Frequency
011532
101474
Frequency of Powerball Odd and Even Power Play Numbers:
Evens Odds Frequency
011100
10980

Page Last Updated: Sunday, 7 February 2021 05:15 AM