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Bingo Probabilities
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Introduction
This page is a follow-up to my main probabilities in bingo page.
Every table in this document is based on American bingo, which is based on a 24-number card (plus a free square) and 75 balls.
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Average Balls Drawn
The following table shows the average number of balls drawn by game type and number of cards:
Average Number of Balls Drawn
Game | Cards | ||||
---|---|---|---|---|---|
2000 | 4000 | 6000 | 8000 | 10000 | |
Single Bingo | 8.62 | 8.05 | 7.82 | 7.71 | 7.56 |
Double Bingo | 19.32 | 18.04 | 17.22 | 16.79 | 16.53 |
Triple Bingo | 27.13 | 25.77 | 25.03 | 24.49 | 24.08 |
Single Hardway | 11.41 | 10.33 | 9.79 | 9.49 | 9.36 |
Double Hardway | 24.56 | 23.07 | 22.25 | 21.76 | 21.28 |
Triple Hardway | 33.44 | 31.95 | 31.09 | 30.64 | 30.02 |
Six Pack | 9.51 | 8.9 | 8.55 | 8.37 | 8.26 |
Nine Pack | 21.79 | 20.27 | 19.6 | 18.95 | 18.65 |
Coverall | 57.57 | 56.38 | 55.56 | 55.08 | 54.79 |
Jackpot Sharing
Ties are common in all bingo games, including coveralls. The greater the number of cards, and the easier the pattern is to cover, the more ties you will see. The following table shows the averge number of people that will call bingo accoring to the pattern and number of cards. HW stands for Hard Way, meaning the player can not make use of the free square.
Expected Number of Players to Call Bingo
Game | Cards | ||||
---|---|---|---|---|---|
2000 | 4000 | 6000 | 8000 | 10000 | |
Single Bingo | 2.62 | 4.11 | 5.72 | 7.11 | 8.2 |
Double Bingo | 1.3 | 1.34 | 1.37 | 1.39 | 1.42 |
Triple Bingo | 1.27 | 1.31 | 1.33 | 1.34 | 1.33 |
Single HW Bingo | 1.49 | 1.78 | 2.01 | 2.32 | 2.6 |
Double HW Bingo | 1.27 | 1.3 | 1.33 | 1.35 | 1.4 |
Triple HW Bingo | 1.26 | 1.27 | 1.29 | 1.31 | 1.31 |
Six Pack | 1.96 | 2.54 | 3.08 | 3.68 | 4.21 |
Nine Pack | 1.35 | 1.43 | 1.47 | 1.53 | 1.55 |
Coverall | 1.32 | 1.34 | 1.34 | 1.35 | 1.38 |
A major frustration in bingo is having to share a jackpot. In my opinion, many players would pay a premium to receive a jackpot in full, regardless of the number of other players that bingo at the same time. The table above could be used to base a fair premium for such jackpot-sharing insurance. For example, in a coverall game with 10,000 cards, the expected number of winners is 1.38. A fair premium for jackpot sharing insurance would be 38% of the price per card.
I have a patent pending on this concept of jackpot sharing insurance. I welcome any bingo parlor to try out this concept. Please contact me with expressions of interest.
The next table shows the probability that a coverall will be hit in exactly the given number of balls and number of cards in play. For example, the probability that with 6000 cards a coverall will be hit in exactly 50 balls is 0.012944. The last row shows the number of sessions in the sample size.
Average Number of Balls Drawn for Coverall
Game | Cards | ||||
---|---|---|---|---|---|
2000 | 4000 | 6000 | 8000 | 10000 | |
40 or Less | 0 | 0 | 0 | 0 | 0 |
41 | 0 | 0.00004 | 0 | 0.00009 | 0 |
42 | 0.00004 | 0.00004 | 0.000063 | 0 | 0.000112 |
43 | 0 | 0.00004 | 0 | 0.00018 | 0.000112 |
44 | 0.00004 | 0.00028 | 0.000127 | 0.00027 | 0.000448 |
45 | 0.00012 | 0.00048 | 0.000508 | 0.00054 | 0.00056 |
46 | 0.000241 | 0.00048 | 0.000952 | 0.000989 | 0.001121 |
47 | 0.000482 | 0.001039 | 0.002284 | 0.003238 | 0.002914 |
48 | 0.001084 | 0.002118 | 0.003617 | 0.004047 | 0.005155 |
49 | 0.002571 | 0.004077 | 0.006409 | 0.010073 | 0.012104 |
50 | 0.004338 | 0.008593 | 0.012944 | 0.017178 | 0.020733 |
51 | 0.008274 | 0.015508 | 0.022525 | 0.0286 | 0.035974 |
52 | 0.014018 | 0.028338 | 0.043464 | 0.053422 | 0.065785 |
53 | 0.026148 | 0.049043 | 0.071447 | 0.087418 | 0.101984 |
54 | 0.042355 | 0.081418 | 0.113135 | 0.135264 | 0.151294 |
55 | 0.073263 | 0.124625 | 0.153934 | 0.179243 | 0.19489 |
56 | 0.10865 | 0.167073 | 0.187056 | 0.194622 | 0.194329 |
57 | 0.152692 | 0.190495 | 0.186485 | 0.161435 | 0.132691 |
58 | 0.180025 | 0.168832 | 0.124492 | 0.089756 | 0.06119 |
59 | 0.179945 | 0.108318 | 0.056091 | 0.02797 | 0.016026 |
60 | 0.128853 | 0.03969 | 0.012437 | 0.005216 | 0.002466 |
61 | 0.059245 | 0.008194 | 0.002094 | 0.00054 | 0.000336 |
62 | 0.015344 | 0.001319 | 0 | 0.00009 | 0 |
63 | 0.002229 | 0.00008 | 0 | 0.00009 | 0 |
64 | 0.00008 | 0 | 0 | 0 | 0 |
65 or More | 0 | 0 | 0 | 0 | 0 |
Total | 1 | 1 | 1 | 1 | 1 |
Average | 57.57741 | 56.316 | 55.594289 | 55.12672 | 54.768912 |
Sample Size | 49793 | 25019 | 15760 | 11119 | 8923 |
Probability Density for One-Way Patterns
The next three tables show the probability of covering "one-way" patterns of 4 to 24 marks according to the exact number of calls. This table is only appropriate if there is only one way to make the pattern. For example the probability of covering the postage stamp pattern in exactly 50 calls is 1.52%, where the pattern is defined as covering the four numbers in the upper right corner of the card. This table is not appropriate, for example, if the player may cover the four numbers in any corner.
Mean Number of Calls to Cover Pattern
The next table shows the mean number of calls to cover a pattern of 1 to 24 marks. This table is only appropriate if there is only one way to cover the pattern.
Expected Calls to Cover Pattern of x Marks
Marks | Expected Calls |
---|---|
1 | 38 |
2 | 50.666667 |
3 | 57 |
4 | 60.8 |
5 | 63.333333 |
6 | 65.142857 |
7 | 66.5 |
8 | 67.555556 |
9 | 68.4 |
10 | 69.090909 |
11 | 69.666667 |
12 | 70.153846 |
13 | 70.571429 |
14 | 70.933333 |
15 | 71.25 |
16 | 71.529412 |
17 | 71.777778 |
18 | 72 |
19 | 72.2 |
20 | 72.380952 |
21 | 72.545455 |
22 | 72.695652 |
23 | 72.833333 |
24 | 72.96 |
Multi-Player Bingo
The next three tables concern multi-player bingo. It is not accurate to say that if the probability of a single player achieving a bingo in x calls is p that the probability of at least one player out of n will do so is 1-(1-p)n. This is because the probability of winning between cards are correlated, because every hard must have five numbers in the range of 1 to 15, 16 to 30, 46 to 60, and 61 to 75, as well as four in the range from 31 to 45. Unlike the tables above, which were calculated using exact probabilities, the multi-player tables were determined by random simulation.
The next table shows the probability that a bingo will be called in exactly 4 to 31 calls by the number of cards in play. For example in a 200-card game the probability of the first bingo in exactly 15 calls is 11.77%. This table is based on a random simulation. Very low probabilities should be taken with a grain of salt, because they may be based on as little as one occurence in the sample.
Probability of Bingo by Number of Calls Exactly
Calls | 100 Cards | 200 Cards | 500 Cards | 1000 Cards |
---|---|---|---|---|
4 | 0.000333167 | 0.000639132 | 0.001545351 | 0.002983166 |
5 | 0.001341463 | 0.002625 | 0.006396723 | 0.011673257 |
6 | 0.003404038 | 0.006691083 | 0.015624365 | 0.028503103 |
7 | 0.006963215 | 0.013373607 | 0.03056466 | 0.054277042 |
8 | 0.012340564 | 0.023433519 | 0.051918191 | 0.086568549 |
9 | 0.019871351 | 0.037010947 | 0.076838161 | 0.120499356 |
10 | 0.029717013 | 0.053648288 | 0.103894182 | 0.145935527 |
11 | 0.041651539 | 0.072544586 | 0.126298908 | 0.15385821 |
12 | 0.055417233 | 0.091149084 | 0.13820249 | 0.140720391 |
13 | 0.069777089 | 0.107159236 | 0.13611471 | 0.110260937 |
14 | 0.08362415 | 0.116721736 | 0.117300559 | 0.072856976 |
15 | 0.095122551 | 0.11774383 | 0.087937627 | 0.040533943 |
16 | 0.102117953 | 0.108574045 | 0.056048018 | 0.018943822 |
17 | 0.103352359 | 0.090687301 | 0.030212144 | 0.00801996 |
18 | 0.097540284 | 0.067779658 | 0.013738567 | 0.003046216 |
19 | 0.085478209 | 0.044590565 | 0.005132749 | 0.000995289 |
20 | 0.069016393 | 0.025538416 | 0.001649517 | 0.000279221 |
21 | 0.050929028 | 0.012566083 | 0.00046875 | 0.000039631 |
22 | 0.033866054 | 0.005165804 | 0.000095274 | 0.000004504 |
23 | 0.02017523 | 0.001741441 | 0.000016514 | 0.000000901 |
24 | 0.010526889 | 0.000481091 | 0.000002541 | 0 |
25 | 0.00477439 | 0.000112858 | 0 | 0 |
26 | 0.001839564 | 0.000019506 | 0 | 0 |
27 | 0.000604958 | 0.000002588 | 0 | 0 |
28 | 0.00017433 | 0.000000597 | 0 | 0 |
29 | 0.000033287 | 0 | 0 | 0 |
30 | 0.000007197 | 0 | 0 | 0 |
31 | 0.0000005 | 0 | 0 | 0 |
Total | 1 | 1 | 1 | 1 |
The next table shows the probability that a bingo will be called in 4 to 31 calls or less by the number of cards in play. For example in a 200-card game the probability of the first bingo in 15 calls or less is 64.27%. Very low probabilities should be taken with a grain of salt, because they may be based on as little as one occurence in the sample.
Probability of Bingo by Number of Calls or Less
Calls | 100 Cards | 200 Cards | 500 Cards | 1000 Cards |
---|---|---|---|---|
4 | 0.000333167 | 0.000639132 | 0.001545351 | 0.002983166 |
5 | 0.00167463 | 0.003264132 | 0.007942073 | 0.014656423 |
6 | 0.005078669 | 0.009955215 | 0.023566438 | 0.043159526 |
7 | 0.012041883 | 0.023328822 | 0.054131098 | 0.097436567 |
8 | 0.024382447 | 0.046762341 | 0.106049289 | 0.184005116 |
9 | 0.044253798 | 0.083773288 | 0.182887449 | 0.304504472 |
10 | 0.073970812 | 0.137421576 | 0.286781631 | 0.450439999 |
11 | 0.115622351 | 0.209966162 | 0.413080539 | 0.604298208 |
12 | 0.171039584 | 0.301115247 | 0.551283028 | 0.7450186 |
13 | 0.240816673 | 0.408274482 | 0.687397739 | 0.855279537 |
14 | 0.324440824 | 0.524996218 | 0.804698298 | 0.928136512 |
15 | 0.419563375 | 0.642740048 | 0.892635925 | 0.968670456 |
16 | 0.521681327 | 0.751314092 | 0.948683943 | 0.987614278 |
17 | 0.625033687 | 0.842001393 | 0.978896087 | 0.995634238 |
18 | 0.72257397 | 0.909781051 | 0.992634654 | 0.998680454 |
19 | 0.808052179 | 0.954371616 | 0.997767403 | 0.999675743 |
20 | 0.877068573 | 0.979910032 | 0.999416921 | 0.999954964 |
21 | 0.927997601 | 0.992476115 | 0.999885671 | 0.999994596 |
22 | 0.961863655 | 0.997641919 | 0.999980945 | 0.999999099 |
23 | 0.982038884 | 0.99938336 | 0.999997459 | 1 |
24 | 0.992565774 | 0.999864451 | 1 | 1 |
25 | 0.997340164 | 0.999977309 | 1 | 1 |
26 | 0.999179728 | 0.999996815 | 1 | 1 |
27 | 0.999784686 | 0.999999403 | 1 | 1 |
28 | 0.999959016 | 1 | 1 | 1 |
29 | 0.999992303 | 1 | 1 | 1 |
30 | 0.9999995 | 1 | 1 | 1 |
31 | 1 | 1 | 1 | 1 |
Ties are common in bingo. The more cards the greater the number of people will call bingo at the same time. The following table shows the expected number of winners according to the exact number of calls and cards. For example in a 200-card game if bingo is called on the 20th call then the expected number of players calling bingo will be 1.66. Very low probabilities should be taken with a grain of salt, because they may be based on as little as one occurence in the sample.
Expected Number of Players to Call Bingo
Calls | 100 Cards | 200 Cards | 500 Cards | 1000 Cards |
---|---|---|---|---|
4 | 1.0090009 | 1.02335721 | 1.061652281 | 1.114432367 |
5 | 1.015275708 | 1.029496512 | 1.069307914 | 1.121296296 |
6 | 1.022258765 | 1.042122799 | 1.083987154 | 1.146942645 |
7 | 1.028581682 | 1.048192412 | 1.104964568 | 1.190889479 |
8 | 1.033890891 | 1.061522127 | 1.132701248 | 1.239306635 |
9 | 1.043170534 | 1.077518379 | 1.164762676 | 1.302551913 |
10 | 1.052359825 | 1.094201366 | 1.207151634 | 1.389465628 |
11 | 1.063636058 | 1.116077308 | 1.260499384 | 1.502997342 |
12 | 1.076579112 | 1.141551275 | 1.324602686 | 1.647857033 |
13 | 1.093521954 | 1.174362146 | 1.405741511 | 1.836531471 |
14 | 1.113105085 | 1.212457155 | 1.508972374 | 2.093635644 |
15 | 1.135955427 | 1.255469998 | 1.643348814 | 2.449646682 |
16 | 1.161564153 | 1.311716739 | 1.802746991 | 2.885650437 |
17 | 1.19272741 | 1.377605556 | 2.010154312 | 3.418463612 |
18 | 1.230036493 | 1.454971001 | 2.284419787 | 3.982554701 |
19 | 1.271820227 | 1.549211465 | 2.629625046 | 4.328506787 |
20 | 1.322227855 | 1.660278243 | 3.078167116 | 4.719354839 |
21 | 1.382000573 | 1.804489007 | 3.447154472 | 6.772727273 |
22 | 1.449972845 | 1.961545871 | 4.026666667 | 3.6 |
23 | 1.52832292 | 2.178420391 | 5.153846154 | 2 |
24 | 1.615738147 | 2.376086057 | 4.75 | 0 |
25 | 1.722860792 | 2.726631393 | 0 | 0 |
26 | 1.855784383 | 2.714285714 | 0 | 0 |
27 | 2.020819564 | 3.461538462 | 0 | 0 |
28 | 2.170298165 | 4.666666667 | 0 | 0 |
29 | 2.21021021 | 0 | 0 | 0 |
30 | 2.569444444 | 0 | 0 | 0 |
31 | 2.6 | 0 | 0 | 0 |
Overall | 1.201004098 | 1.263574841 | 1.401860391 | 1.598345388 |
The 100-card bingo probabilites are based on a sample size of 10,004,000 games. For 200-cards the sample size was 5,024,000. For 500-cards the sample size was 5,574,400.For 1000-cards the sample size was 1,110,230.
Multi-Player Coverall
The next three tables concern a coverall game (covering the entire card) with 100, 200, 500, and 1000 players.
The next table shows the probability that a coverall will be called in exactly 24 to 75 calls by the number of cards in play. For example in a 200-card game the probability of the first coverall in exactly 60 calls is 8.88%. Very low probabilities should be taken with a grain of salt, because they may be based on as little as one occurence in the sample.
Probability of Coverall by Number of Calls Exactly
Calls | 100 Cards | 200 Cards | 500 Cards | 1000 Cards |
---|---|---|---|---|
24 | 0 | 0 | 0 | 0 |
25 | 0 | 0 | 0 | 0 |
26 | 0 | 0 | 0 | 0 |
27 | 0 | 0 | 0 | 0 |
28 | 0 | 0 | 0 | 0 |
29 | 0 | 0 | 0 | 0 |
30 | 0 | 0 | 0 | 0 |
31 | 0 | 0 | 0 | 0 |
32 | 0 | 0 | 0 | 0 |
33 | 0 | 0 | 0 | 0 |
34 | 0 | 0 | 0 | 0 |
35 | 0 | 0 | 0 | 0 |
36 | 0 | 0 | 0 | 0 |
37 | 0 | 0 | 0 | 0 |
38 | 0.000000081 | 0 | 0.000000556 | 0 |
39 | 0 | 0.000000451 | 0 | 0 |
40 | 0.000000244 | 0.000000451 | 0.000001668 | 0.00000335 |
41 | 0.000000812 | 0.000000677 | 0.000001112 | 0 |
42 | 0.000000812 | 0.000002481 | 0.000003336 | 0.000005584 |
43 | 0.0000013 | 0.00000406 | 0.000008341 | 0.000023453 |
44 | 0.000004387 | 0.000006316 | 0.000017794 | 0.000040205 |
45 | 0.000007392 | 0.000011954 | 0.000035587 | 0.000067009 |
46 | 0.000016653 | 0.000031127 | 0.0000873 | 0.000161939 |
47 | 0.000032331 | 0.000061126 | 0.000171819 | 0.000329462 |
48 | 0.000063444 | 0.000131273 | 0.000310832 | 0.000617601 |
49 | 0.000124939 | 0.000240217 | 0.000598866 | 0.001111235 |
50 | 0.000221852 | 0.000450885 | 0.001129893 | 0.002188966 |
51 | 0.000418197 | 0.000823052 | 0.002054604 | 0.004050704 |
52 | 0.000773924 | 0.001495433 | 0.003847309 | 0.007561983 |
53 | 0.001392283 | 0.002724033 | 0.00671597 | 0.013308019 |
54 | 0.002404224 | 0.004761024 | 0.011786588 | 0.02302323 |
55 | 0.004186596 | 0.008286004 | 0.020299155 | 0.038641948 |
56 | 0.00714078 | 0.014069246 | 0.033530916 | 0.062962922 |
57 | 0.011965475 | 0.023529942 | 0.054423376 | 0.096555729 |
58 | 0.019776442 | 0.037942709 | 0.083837856 | 0.136793612 |
59 | 0.031830382 | 0.059312281 | 0.120524911 | 0.17127094 |
60 | 0.04982039 | 0.08881606 | 0.157332629 | 0.180108331 |
61 | 0.075076767 | 0.124190143 | 0.177556161 | 0.147070583 |
62 | 0.106797563 | 0.156943949 | 0.161671486 | 0.082063882 |
63 | 0.140753859 | 0.172727416 | 0.107064613 | 0.027109672 |
64 | 0.164937206 | 0.152701928 | 0.045642794 | 0.004566674 |
65 | 0.163299594 | 0.099422578 | 0.01031528 | 0.000350681 |
66 | 0.126231113 | 0.04129559 | 0.000993661 | 0.000012285 |
67 | 0.067797238 | 0.009152588 | 0.000035587 | 0 |
68 | 0.021547035 | 0.000845833 | 0 | 0 |
69 | 0.003220227 | 0.000019172 | 0 | 0 |
70 | 0.000154427 | 0 | 0 | 0 |
71 | 0.000002031 | 0 | 0 | 0 |
72 | 0 | 0 | 0 | 0 |
73 | 0 | 0 | 0 | 0 |
74 | 0 | 0 | 0 | 0 |
75 | 0 | 0 | 0 | 0 |
Total | 1 | 1 | 1 | 1 |
In a 100-player game the expected number of calls for a coverall is 63.43, in a 200-player game it is 62.00, in a 500-player game it is 60.18, and in a 1000-player game it is 58.85. Very low probabilities should be taken with a grain of salt, because they may be based on as little as one occurence in the sample.
The next table shows the probability that a coverall will be called in 24 to 75 calls or less by the number of cards in play. For example in a 200-card game the probability of the first coverall in 60 calls or less is 36.69%.
Probability of Coverall by Number of Calls or Less
Calls | 100 Cards | 200 Cards | 500 Cards | 1000 Cards |
---|---|---|---|---|
24 | 0 | 0 | 0 | 0 |
25 | 0 | 0 | 0 | 0 |
26 | 0 | 0 | 0 | 0 |
27 | 0 | 0 | 0 | 0 |
28 | 0 | 0 | 0 | 0 |
29 | 0 | 0 | 0 | 0 |
30 | 0 | 0 | 0 | 0 |
31 | 0 | 0 | 0 | 0 |
32 | 0 | 0 | 0 | 0 |
33 | 0 | 0 | 0 | 0 |
34 | 0 | 0 | 0 | 0 |
35 | 0 | 0 | 0 | 0 |
36 | 0 | 0 | 0 | 0 |
37 | 0 | 0 | 0 | 0 |
38 | 0.000000081 | 0 | 0.000000556 | 0 |
39 | 0.000000081 | 0.000000451 | 0.000000556 | 0 |
40 | 0.000000325 | 0.000000902 | 0.000002224 | 0.00000335 |
41 | 0.000001137 | 0.000001579 | 0.000003336 | 0.00000335 |
42 | 0.00000195 | 0.00000406 | 0.000006673 | 0.000008935 |
43 | 0.000003249 | 0.00000812 | 0.000015013 | 0.000032388 |
44 | 0.000007636 | 0.000014436 | 0.000032807 | 0.000072593 |
45 | 0.000015028 | 0.00002639 | 0.000068394 | 0.000139602 |
46 | 0.000031682 | 0.000057517 | 0.000155694 | 0.000301541 |
47 | 0.000064013 | 0.000118642 | 0.000327513 | 0.000631003 |
48 | 0.000127457 | 0.000249915 | 0.000638345 | 0.001248604 |
49 | 0.000252396 | 0.000490132 | 0.001237211 | 0.002359839 |
50 | 0.000474249 | 0.000941017 | 0.002367104 | 0.004548805 |
51 | 0.000892445 | 0.001764069 | 0.004421708 | 0.008599509 |
52 | 0.001666369 | 0.003259502 | 0.008269017 | 0.016161492 |
53 | 0.003058652 | 0.005983534 | 0.014984987 | 0.029469511 |
54 | 0.005462876 | 0.010744558 | 0.026771575 | 0.052492741 |
55 | 0.009649472 | 0.019030563 | 0.04707073 | 0.091134688 |
56 | 0.016790252 | 0.033099808 | 0.080601646 | 0.15409761 |
57 | 0.028755727 | 0.056629751 | 0.135025022 | 0.250653339 |
58 | 0.048532169 | 0.09457246 | 0.218862878 | 0.387446951 |
59 | 0.080362551 | 0.153884741 | 0.339387789 | 0.558717891 |
60 | 0.130182941 | 0.242700801 | 0.496720418 | 0.738826223 |
61 | 0.205259708 | 0.366890944 | 0.674276579 | 0.885896806 |
62 | 0.312057271 | 0.523834893 | 0.835948065 | 0.967960688 |
63 | 0.452811129 | 0.69656231 | 0.943012678 | 0.99507036 |
64 | 0.617748335 | 0.849264238 | 0.988655472 | 0.999637034 |
65 | 0.781047929 | 0.948686816 | 0.998970752 | 0.999987715 |
66 | 0.907279041 | 0.989982407 | 0.999964413 | 1 |
67 | 0.975076279 | 0.999134995 | 1 | 1 |
68 | 0.996623314 | 0.999980828 | 1 | 1 |
69 | 0.999843542 | 1 | 1 | 1 |
70 | 0.999997969 | 1 | 1 | 1 |
71 | 1 | 1 | 1 | 1 |
72 | 1 | 1 | 1 | 1 |
73 | 1 | 1 | 1 | 1 |
74 | 1 | 1 | 1 | 1 |
75 | 1 | 1 | 1 | 1 |
Jackpot Sharing
Ties are common in all bingo games, including coveralls. The greater the number of cards, and the easier the pattern is to cover, the more ties you will see. The following table shows the averge number of people that will call bingo accoring to the pattern and number of cards. HW stands for Hard Way, meaning the player can not make use of the free square.
Expected Number of Players to Call Bingo
Game | Cards | ||||
---|---|---|---|---|---|
2000 | 4000 | 6000 | 8000 | 10000 | |
Single Bingo | 2.62 | 4.11 | 5.72 | 7.11 | 8.2 |
Double Bingo | 1.3 | 1.34 | 1.37 | 1.39 | 1.42 |
Triple Bingo | 1.27 | 1.31 | 1.33 | 1.34 | 1.33 |
Single HW Bingo | 1.49 | 1.78 | 2.01 | 2.32 | 2.6 |
Double HW Bingo | 1.27 | 1.3 | 1.33 | 1.35 | 1.4 |
Triple HW Bingo | 1.26 | 1.27 | 1.29 | 1.31 | 1.31 |
Six Pack | 1.96 | 2.54 | 3.08 | 3.68 | 4.21 |
Nine Pack | 1.35 | 1.43 | 1.47 | 1.53 | 1.55 |
Coverall | 1.32 | 1.34 | 1.34 | 1.35 | 1.38 |
A major frustration in bingo is having to share a jackpot. In my opinion, many players would pay a premium to receive a jackpot in full, regardless of the number of other players that bingo at the same time. The table above could be used to base a fair premium for such jackpot-sharing insurance. For example, in a coverall game with 10,000 cards, the expected number of winners is 1.38. A fair premium for jackpot sharing insurance would be 38% of the price per card.
I have a patent pending on this concept of jackpot sharing insurance. I welcome any bingo parlor to try out this concept. Please contact me with expressions of interest.
Another good source on bingo probabilities is Durango Bill's Bingo Probabilities. He has the same probabilities I do but goes into more depth on how they were calculated.