Re-do the computations from the previous section using View #2 instead of View #1. That is, find the house edge for combined don't pass + free odds bets assuming that any game can end in a tie.
We want to compute the house edge for players who make only don't pass bets and free odds bets.
We imagine that we are playing a series of N craps games.
Since we are assuming View #2, a push ends the current game.
We begin each game by putting the amount B on the don't pass line. If a point is established, we bet as much as we can in free odds. Whenever a 12 is rolled on the come out, we say that the game has ended in a tie; and, the next roll of the dice begins a new game.
We use the following definitions:
| N | = | the number of craps games we play [ some large fixed number ] |
| B | = | the dollar amount bet on the don't pass line at the start of each game |
| p | = |
probability to win a don't pass bet according to view #2 = 949 / 1980 [ computed in the View #1 section ] |
| L | = | probability to lose = 1 - P( tie ) - P( win ) |
| = | 1 - ( 1 / 36 ) - ( 949 / 1980 ) = 244 / 495 | |
| α | = | size of the free odds bet when the point is 4 or 10 |
| β | = | size of the free odds bet when the point is 5 or 9 |
| γ | = | size of the free odds bet when the point is 6 or 8 |
For later use, we note that :
| p - L | = | ( 949 / 1980 ) - ( 244 / 495 ) |
| = | ( 949 / (20)(99) ) - 244 / ( 5 * 99 ) | |
| = | ( 949 - 976 ) / 20 * 99 = -27 / 1980 = -3 / 220 |
| Let f | = | the "odds factor" | |
| = | the number preceding "X" in the casino's free odds phrase | ||
| 1X odds → f = 1, 2X odds → f = 2, etc. | |||
The first thing we shall do is determine the probability of establishing a point in any one game.
| P( point ) | = | P( 4 ) + P( 5 ) + P( 6 ) + P( 8 ) + P( 9 ) + P( 10 ) |
| = | 24 / 36 = 2 / 3 |
Thus, P( no point ) = 1 - 2 / 3 = 1 / 3
In playing N games, we'd expect to have no point N / 3 times.
In any one game, the point probabilities are:
| P( point is 4 ) = P( point is 10 ) = 3 / 36 | |
| P( point is 5 ) = P( point is 9 ) = 4 / 36 | P( point is 6 ) = P( point is 8 ) = 5 / 36 |
So, in N games, we would expect
| 4 to be the point approximately 3N / 36 times | |
| 5 to be the point approximately 4N / 36 times | |
| 6 to be the point approximately 5N / 36 times | |
| 8 to be the point approximately 5N / 36 times | |
| 9 to be the point approximately 4N / 36 times | |
| 10 to be the point approximately 3N / 36 times |
Let's use a table to summarize what we've found so far.
| Point | Line Bet | Odds Bet | Sum of Bets | Nbr of Times We Bet That Sum |
Product of Previous Two Columns |
|---|---|---|---|---|---|
| none | B | 0 | B | N / 3 | BN / 3 |
| 4 | B | α | B + α | N / 12 | ( N / 12 )( B + α ) |
| 5 | B | β | B + β | N / 9 | ( N / 9 )( B + β ) |
| 6 | B | γ | B + γ | 5N / 36 | ( 5N / 36 )( B + γ ) |
| 8 | B | γ | B + γ | 5N / 36 | ( 5N / 36 )( B + γ ) |
| 9 | B | β | B + β | N / 9 | ( N / 9 )( B + β ) |
| 10 | B | α | B + α | N / 12 | ( N / 12 )( B + α ) |
To find the total amount we'd expect to bet in N plays, we add the values in the last column of the above table.
Let T = Total amount of money bet in N plays
| T | = | ( BN / 3 ) + 2 *( N / 36 ) [ 3 ( B + α ) + 4 ( B + β ) + 5 ( B + γ ) ] |
| = | ( 12 BN / 36 ) + ( 2N / 36 ) [ 12B + 3α + 4β + 5γ ] | |
| = | ( 12BN / 36 ) + ( 24BN / 36 ) + ( N / 18 ) ( 3α + 4β + 5γ ) | |
| = | BN + ( N / 18 ) ( 3α + 4β + 5γ ) |
The average amount bet in N plays is T / N = B + ( 1 / 18 ) ( 3α + 4β + 5γ )
Since free odds bets do not change the expectation, we can compute the average loss from the expectation:
| E | = | expectation = expected winnings |
| = | Bp + ( - B ) * L + 0 * P( tie ) = B * ( p - L ) | |
| E | = | B * ( - 3 / 220 ) → expected loss = 3B / 220 |
Putting the above two pieces together, we find:
H = house edge = average loss / average bet
| H = |
3B / 220
B + ( 1 / 18 ) ( 3α + 4β + 5γ ) |
To finish, we need to find α, β, and γ.
As we've seen before:
| Point = 4 or 10 | → | payoff odds for the don't pass free odds bet = 1 / 2 | |
| Point = 5 or 9 | → | payoff odds for the don't pass free odds bet = 2 / 3 | |
| Point = 6 or 8 | → | payoff odds for the don't pass free odds bet = 5 / 6 |
Let's use "FDO yes"
to mean that Full Double Odds are in effect
and "FDO no"
to mean that Full Double Odds are not in effect.
| Point is 4 or 10 | → | "FDO no" and y = payoff odds = 1 / 2 | ||
| → | α = fB / y = 2fB | |||
| Point is 5 or 9 | → | "FDO no" and y = payoff odds = 2 / 3 | ||
| → | β = fB / y = (3fB) / 2 | |||
| Point is 6 or 8 and "FDO yes" | → | γ = 3B | ||
| Point is 6 or 8 and "FDO no" | → | γ = fB / y = (6fB) / 5 | ||
If full double odds do not apply then 3α + 4β + 5γ = 6fB + 6fB + 6fB = 18fB
Substituting this into the above equation for H gives us
|
= |
|
If full double odds do apply then
| B | = | line bet = 2k for some integer k | |
| α | = | size of the free odds bet when the point is 4 or 10 | |
| = | fB / ( 1/2 ) = 2fB = 2f * 2k = 4fk | ||
| β | = | size of the free odds bet when the point is 5 or 9 | |
| = | fB / ( 2/3 ) = 3fB / 2 = (3f/2) * 2k = 3fk | ||
| γ | = | size of the free odds bet when the point is 6 or 8 | |
| = | 3B = 3 * 2k = 6k | ||
| and 3α + 4β + 5γ | = | 12fk + 12fk + 30k = 24fk + 30k = k * ( 30 + 24f ) | |
Substituting these values into the formula for H gives us
|
= |
|
|||||
|
= |
|
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For case 2b in the following table, we need f = 2.
f = 2 and "FDO yes"
→
H = ( 9 / 110 )/ 19
≈
0.430622%.
| case 1 | odds = 1X | → | f = 1 | → | H = | ( 3 / 220 ) / ( 1 + 1 ) | ≈ | 0.681818% | ||
| case 2a: 2X "FDO no" | → | f = 2 | → | H = | ( 3 / 220 ) / ( 1 + 2 ) | ≈ | 0.454545% | |||
| case 2b: 2X "FDO yes" | → | f = 2 | → | H = | ( 9 / 110 ) / 19 | ≈ | 0.430622% | |||
| case 3 | odds = 3X | → | f = 3 | → | H = | ( 3 / 220 ) / ( 1 + 3 ) | ≈ | 0.340909% | ||
| case 4 | odds = 4X | → | f = 4 | → | H = | ( 3 / 220 ) / ( 1 + 4 ) | ≈ | 0.272727% | ||
| case 5 | odds = 5X | → | f = 5 | → | H = | ( 3 / 220 ) / ( 1 + 5 ) | ≈ | 0.227273% | ||
| case 10 | odds = 10X | → | f = 10 | → | H = | ( 3 / 220 ) / ( 1 + 10 ) | ≈ | 0.123967% | ||
| case 20 | odds = 20X | → | f = 20 | → | H = | ( 3 / 220 ) / ( 1 + 20 ) | ≈ | 0.06493506% | ||
| case 100 | odds = 100X | → | f = 100 | → | H = | ( 3 / 220 ) / ( 1 + 100 ) | ≈ | 0.01350135% | ||