Chance of winning 10 units before losing 10 units with plain bet at non even games.
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March 31st, 2010 at 7:12:26 PM
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How do you calculate this? For example, how do you calculate the chance of winning 15 units at european roulette betting plain 1 unit on black all the time, BEFORE you lose 15 units?
March 10th, 2012 at 4:48:50 PM
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removed first reply but the worksheet still works for the Gambler's Ruin Formula
ok
a = (18/37)^15
b = (19/37)^15
answer = a/a+b
something like this
0.307675671
Sally
ok
a = (18/37)^15
b = (19/37)^15
answer = a/a+b
something like this
0.307675671
Sally
I Heart Vi Hart
March 14th, 2012 at 6:59:07 AM
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I have what I think is an interesting extension... note ties and lose 1/2.
Suppose the House collects its vigorish by losing half on certain wagers. For example, lets say in 1000 wagers:
WIN 450
LOSE 450
TIE 50
LOSE 1/2 50
Should I consider the outcome as WIN 450 LOSE 475 TIE 50? and how does the TIE factor in, if at all, since its not a resolved wager?
At first glance it appears that my bank is at 975 after 1000 rounds: Keeping 900 for WINS, 50 for TIES and 25 for HALF-LOSSES.
Thanks much in advance.
Suppose the House collects its vigorish by losing half on certain wagers. For example, lets say in 1000 wagers:
WIN 450
LOSE 450
TIE 50
LOSE 1/2 50
Should I consider the outcome as WIN 450 LOSE 475 TIE 50? and how does the TIE factor in, if at all, since its not a resolved wager?
At first glance it appears that my bank is at 975 after 1000 rounds: Keeping 900 for WINS, 50 for TIES and 25 for HALF-LOSSES.
Thanks much in advance.
Some people need to reimagine their thinking.
March 14th, 2012 at 8:35:31 AM
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@Sally,
the formula is nice but is a little counterintuitive.
For example if i set a goal of 3 units having a 3 unit bank, the formula says that i have 85% chance to win 3 units before losing 3 units?! However i think that it rather means that i have an 85% chance of 50% (doubling) before losing all. That would mean that im better off putting straight ahead 3 units on the black.
Correct me if i'm wrong.
Thanks.
the formula is nice but is a little counterintuitive.
For example if i set a goal of 3 units having a 3 unit bank, the formula says that i have 85% chance to win 3 units before losing 3 units?! However i think that it rather means that i have an 85% chance of 50% (doubling) before losing all. That would mean that im better off putting straight ahead 3 units on the black.
Correct me if i'm wrong.
Thanks.
March 14th, 2012 at 1:19:41 PM
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removed
silly
silly
I Heart Vi Hart
March 14th, 2012 at 2:10:20 PM
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The answer depends on how many times black has appeared consecutively before placing you first bet.
March 15th, 2012 at 12:21:58 PM
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Quote: mustangsallyI find no problem with the formula.
See if you can find the error or any error :)
(I tried to upload to Windows Live but it does not upload using certain ISPs.)
Here is a link to my Excel worksheet. It has no macros.
Gambler's Ruin Calc
How to derive the formula is in a link to Don Catlin's article.
The Wizard has a solution on his math page from a post in the above link.
Hi Sally,
nope - there is no error and i didnt intend to search for an error necesarilly.
Btw, the excel file is beautiful, thx again for sharing.
June 8th, 2018 at 9:48:02 AM
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the calculation does not take into account the time required for hitting target or ruin.Quote: bicgus1For example, how do you calculate the chance of winning 15 units at european roulette betting plain 1 unit on black all the time, BEFORE you lose 15 units?
that is a different formula (from the Gambler's Ruin formula)
Many do want to know the results after X number of trials or resolved bets in a casino.
that requires a slightly different method (a transition matrix raised to a power, for example)
R code for the OP question(s), 2nd R code module here:
https://sites.google.com/view/krapstuff/risk-of-ruin
for the OP title example of 10 into 20
> gambler.ruin(10,10, 18/37, "0 Roulette evens bet")
[1] "0 Roulette evens bet"
[1] "Stake: 10"
[1] "Target: 20"
p(goal):
0.3680312
p(ruin):
0.6319688
mean Trials:
97.6569
mean given Goal:
97.6569
mean given Ruin:
97.6569
15 into 30
> gambler.ruin(15,15, 18/37, "0 Roulette evens bet")
[1] "0 Roulette evens bet"
[1] "Stake: 15"
[1] "Target: 30"
p(goal):
0.3076757
p(ruin):
0.6923243
mean Trials:
213.48
mean given Goal:
213.48
mean given Ruin:
213.48
I found this interesting
(formula and formula found in SN Ethier book, Doctrine of Chances)
Sally
I Heart Vi Hart
