Coverall Bingo Online
Posted : admin On 3/31/2022Virtual Global Digital Services Limited is licensed to offer online gaming services by the Government of Gibraltar (Remote Gaming License Numbers 112 and 113), regulated by the Gibraltar Gambling Commissioner under the laws of Gibraltar, and makes no representation as to legality of such services in other jurisdictions. Blackout bingo, or coverall bingo, is a type of pattern bingo most common online, although it is sometimes played in live bingo halls as well. Blackout bingo can be played either using the 75-ball, 80-ball or 90-ball system, and the object of the game is to cover all spots on your bingo. Play multiplayer Bingo in Vegas World with friends and win tons of Coins! Use your Gems to get Good Luck Charms, which boost your coin winnings from playing free Bingo in Vegas World. Play with one, two, three or even four Bingo cards and win big! Only on Vegas World - Good Luck Charms. Changing formats of bingo. How are multiple winners dealt with? Virtue Fusion Bingo Software. Bingo halls in the US and Canada. Why should you read bingo reviews before choosing your online bingo room? Bingo, bingo halls and their popularity in Europe and USA. Bingo, bingo halls and popularity in USA and Canada.
I've been tasked at work to analyze a new bingo game. I have a couple of questions regarding coverall/blackout bingo (all 24 numbers + 1 free space needs to be dabbed). I would appreciate it if anyone could confirm that the following statements are true.
1) the cumulative distribution function of number of calls needed for coverall/blackout (with only 1 bingo card in play) can be modeled by the probability mass function of the hypergeometric distribution (as it can in Keno).
2) for multiple distinct cards in play, say n, can we use the following formula: 1-(1-p)^n to model the cumulative distribution function of number of calls where p is the probability of a single card achieving coverall?
As for 2, the statement is contradictory to Wizard's website; please refer to the Multi-Player Bingo section (https://wizardofodds.com/games/bingo/probabilities/2/). I agree with Wizard that the formula does not hold when you try to model anything other than coverall/blackout. However, I believe the formula is valid when we are modeling coverall/blackout game. I'd be curious to hear if anyone agrees with me.
Administrator
So you have to split the calculation into two parts. Let's say you want the probability of a coverall in X calls (or less) when Y cards are in play:
1) Identify (iterate through) every possible distribution of X calls. For example, with 50 calls, there are 20,176 possible distributions (including distributions where a coverall is not possible). Determine the probability of each distribution.
Then, for each distribution:
2) Determine the probability of achieving a coverall given the current distribution. This will of course be zero when there are fewer than 4 Ns or 5 Bs/Is/Gs/Os.
3) Apply the 1-((1-p)Y) formula here with p = the result of #2 and Y = the number of cards in play.
4) Multiply the result of #3 by the distribution probability of #1, and accumulate (sum) these results for each distribution to determine the overall probability of a bingo within X calls or less for Y cards.
For example, for a coverall in 50 calls, here are the true probabilities (vs. the HGD estimates) for a few card quantities:
1 card = 0.0000047150811362 (vs. the HGD estimate of 0.0000047150811337)
100 cards = 0.00047138 (vs. the HGD estimate of 0.00047140)
500 cards = 0.00235428 (vs. the HGD estimate of 0.00235477)
1000 cards = 0.00470206 (vs. the HGD estimate of 0.00470399)
5000 cards = 0.02325221 (vs. the HGD estimate of 0.02329973)
The above calculations assume the following:
- standard North American bingo cards are used (5 Bs, 5 Is, 4 Ns, 5 Gs, 5 Os)
- the cards in play are random
- the numbers are drawn randomly
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Administrator
Coverall Bingo Games
JB's answer sounds right to me. If you know the probability of covering any given pattern in x calls is y for one card, you can't assume is it 1-(1-y)^n for n cards. This is because the cards are correlated. All of them have 5 B's, 5 I's... If there is a smooth distribution of columns called, then all of them are more likely to hit early. I've seen it happen lots of times where it takes a long time for one letter to get called. When it finally does, a ton of people call BINGO.The easiest way to do multi-card bingo math is by random simulation. I know it isn't as elegant as a closed forum answer, but sometimes the easiest way is ... the easiest way.
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Thank you for your responses. Indeed, I had not considered the fact that there could be instances where only 4 B's have been called in a given number of calls and there is no coverall bingo possible. I understand now why the cards are correlated.
One of the variants of the new game we are contemplating does not have the column restrictions, i.e. any numbers between 1 and 75 can go anywhere in the 5x5 matrix. I believe HGD works for this game as it is really Keno but in Bingo format.
Cheers,