Keno Odds

Posted on November 25, 2007 
Filed Under Keno Odds

Keno is an entirely electronic game that is played every few minutes by a computer. Pretend that the computer has a basket of eighty balls, each sequentially numbered from one to eighty. You take a card with numbers from one to eighty and mark from one to fifteen “spots” (i.e., “lucky balls”) that you expect to be drawn, and then place a bet. After the bets are closed, the computer pulls out twenty balls from the basket, and if you “catch” enough “spots,” you’ll get a return on your bet.

Summary of Results

If following section’s calculations are correct, along with my program, the fraction of your bet that you lose on average per game for this particular casino depends on the number of spots that you play on the card, as follows:

Spots bet Percentage lost
1 25%
4 26%
3 26%
5 27%
8 27%
7 28%
10 28%
2 28%
11 28%
9 28%
12 28%
6 28%
13 29%
14 29%
15 29%

So, from what I can tell, you’re crazy to play Keno for any reason. If you can get your hands on the odds brochure from your favorite casino (or state lottery) and email them to me, I’ll be happy to run my program for you, or you can try it yourself. The theory is so simple that you can write your own program in a few minutes, and even if you cannot program, all you need is a calculator to determine the odds yourself.

How to Calculate the Odds for your Casino.

The probability of catching exactly r spots when you bet on N of them (where N >= r) is given by

P(N,r) = c(N,r) * c(80-N, 20-r) / c(80,20).

In other words, P(N,r) is the number of ways that you can pick r of the N spots times the number of ways that the computer can pick all of the spots that you didn’t bet on divided by the ways that it can pick twenty spots. Note that c(N,r) is the famous “binomial coefficient”, where

c(N,r) = f(N,r) / f(r,r),

and we can define f(n,r) according to the rules

f(n,0) = 1, otherwise f(n,r) = n * f(n-1,r-1).

Example

A casino says “play four spots, catch two and get 1:1, three and get 4:1, all four and get 115:1.” Should we bet on four spots?

The probability of getting zero of four spots is p0 = P(4,0) = 97527 / 316316 = 0.3083. The probability of getting one of four spots is p1 = P(4,1)= 34220 / 79079 = 0.4327. The probability of getting two of four spots is p2 = P(4, 2) = 16815 / 79079 = 0.2126. The probability of getting three of four spots is p3 = P(4, 3) = 3420 / 79079 = 0.04324. The probability of getting all four spots is p4 = P(4, 4) = 969 / 316316 = 0.003063. (Note that the values of P can be found in the following table for your convenience.)

Note that all of these probabilities add to one: p0 + p1 + p2 + p3 + p4 = 1. Now you start by giving them one dollar, but you have a chance to win it back! You earn $1 with probability p2, $4 with probability p3, and $115 with probability p4, so your expected return per dollar bet is

=(what you put in) + (what you expect to get out)

= (-$1) + (($1)p2 + ($4)p3 + ($115)p4)

= (-$1) + (($0.213) + ($0.173) + (0.35229012))

= (-$1) + ($0.738)

= -$0.26.

In other words, you expect to loose about 0.26 cents per dollar that you bet on four spots, and this is horrible—pick a better game, like Baccarat.

A Specific Casino

For a dollar bet,

Spots Catch Win Probability Expected return
1 1 $3.00 0.25 $0.7500
2 2 $12.00 0.060126584 $0.7215
3 2 $1.00 0.13875365 $0.1388
3 3 $43.00 0.013875365 $0.5966
4 2 $1.00 0.21263547 $0.2126
4 3 $4.00 0.04324789 $0.1730
4 4 $115.00 0.0030633924 $0.3523
5 3 $2.00 0.08393505 $0.1679
5 4 $20.00 0.012092338 $0.2418
5 5 $500.00 6.449247e-4 $0.3225
6 3 $1.00 0.12981954 $0.1298
6 4 $4.00 0.028537918 $0.1142
6 5 $90.00 0.0030956385 $0.2786
6 6 $1500.00 1.2898494e-4 $0.1935
7 3 $0.50 0.17499325 $0.0875
7 4 $1.50 0.052190967 $0.0783
7 5 $20.00 0.008638505 $0.1728
7 6 $360.00 7.320767e-4 $0.2635
7 7 $5000.00 2.4402556e-5 $0.1220
8 5 $9.00 0.018302586 $0.1647
8 6 $90.00 0.0023667137 $0.2130
8 7 $1500.00 1.6045517e-4 $0.2407
8 8 $25000.00 4.3456605e-6 $0.1086
9 4 $0.50 0.11410519 $0.0571
9 5 $3.00 0.03260148 $0.0978
9 6 $40.00 0.0057195583 $0.2288
9 7 $300.00 5.9167844e-4 $0.1775
9 8 $4000.00 3.2592455e-5 $0.1304
9 9 $37500.00 7.242768e-7 $0.0272
10 5 $2.00 0.05142769 $0.1029
10 6 $20.00 0.0114793945 $0.2296
10 7 $140.00 0.0016111432 $0.2256
10 8 $1000.00 1.3541937e-4 $0.1354
10 9 $4000.00 6.120649e-6 $0.0245
10 10 $50000.00 1.1221189e-7 $0.0056
11 5 $1.00 0.074080355 $0.0741
11 6 $8.00 0.020203736 $0.1616
11 7 $80.00 0.0036078098 $0.2886
11 8 $315.00 4.1141692e-4 $0.1296
11 9 $1800.00 2.837358e-5 $0.0511
11 10 $12500.00 1.05799794e-6 $0.0132
11 11 $65000.00 1.603027e-8 $0.0010
12 5 $0.50 0.09938732 $0.0497
12 6 $3.00 0.032208852 $0.0966
12 7 $35.00 0.0070273858 $0.2460
12 8 $260.00 0.0010195985 $0.2651
12 9 $500.00 9.5401025e-5 $0.0477
12 10 $1500.00 5.427989e-6 $0.0081
12 11 $20000.00 1.672724e-7 $0.0033
12 12 $70000.00 2.0909049e-9 $0.0001
13 0 $1.00 0.016395647 $0.0164
13 6 $1.00 0.047501296 $0.0475
13 7 $18.00 0.012315149 $0.2217
13 8 $80.00 0.0021831403 $0.1747
13 9 $700.00 2.5989765e-4 $0.1819
13 10 $3000.00 2.0062272e-5 $0.0602
13 11 $10000.00 9.433671e-7 $0.0094
13 12 $50000.00 2.3983909e-8 $0.0012
13 13 $75000.00 2.459888e-10 $0.0000
14 0 $1.00 0.011501424 $0.0115
14 6 $1.00 0.06575738 $0.0658
14 7 $10.00 0.019851286 $0.1985
14 8 $40.00 0.0041816365 $0.1673
14 9 $310.00 6.0823804e-4 $0.1886
14 10 $1100.00 5.973766e-5 $0.0657
14 11 $3100.00 3.8110152e-6 $0.0118
14 12 $25000.00 1.4784111e-7 $0.0037
14 13 $50000.00 3.084039e-9 $0.0002
14 14 $100000.00 2.5700322e-11 $0.0000
15 0 $1.00 0.008016144 $0.0080
15 6 $1.00 0.08634808 $0.0863
15 7 $5.00 0.02988972 $0.1494
15 8 $30.00 0.0073314407 $0.2199
15 9 $130.00 0.0012671626 $0.1647
15 10 $310.00 1.5205951e-4 $0.0471
15 11 $2500.00 1.2342492e-5 $0.0309
15 12 $7500.00 6.4960486e-7 $0.0049
15 13 $25000.00 2.0677078e-8 $0.0005
15 14 $50000.00 3.5045895e-10 $0.0000
15 15 $125000.00 2.336393e-12 $0.0000

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