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Reason #2 why the Wizard likes Bovada: No-hassle practice games Most online casinos spend more effort trying to separate you from your money than they do trying to give you a good experience. They have all kinds of popup windows, they usually make you download their software, and if they do offer play-in-browser games then you have to register an account before you can play. And if you register they start sending you emails trying to get you to deposit real money. But Bovada is different. They have no popup windows at all, and their practice games play right in your browser, with no download, and no registration required. You don’t even have to give up your email address. It couldn’t be simpler: just one click and you’re playing the game. I wish all online casinos showed this much respect for their players. Other casinos practically ask for your first born child to play for free. Meanwhile Bovada is patient and does not twist anybody’s arm to play for real money. You can play as long as you like for free with no obligation. The real-money games are available if that’s your preference, but if not, you can play the free practice games for as long as you like without hassle. |
Ask the Wizard #253Edition Date: Jun 4, 2010 I don’t understand how it is that in your Texas Hold ’Em power tables A-7 ranks lower than KJ suited but on your calculator A7 has higher probabilty of winning. |
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| K-J Suited vs. A-7 Off-Suit | ||||
| Hand | Win | Lose | Draw | Expected Value |
| K | 0.6148 | 0.3634 | 0.0218 | 0.2513 |
| A | 0.5717 | 0.3949 | 0.0334 | 0.1768 |
However, according to my Two-Player Texas Hold ’em Calculator, the probabilities of these two hands facing each other are:
A7 wins = 53.52%
KJ wins = 46.10%
Tie = 0.39%
So KJ suited is ranked higher in my table, but inferior to the A7 unsuited head to head. Why?
The answer is hard to explain. With two hands going against each other, you have to consider how they interact with each other. For example, in the table of starting hand strength, AK off-suit is only slightly better than AQ off-suit, with expected values of .3064 and .2886 respectively. However, if you pit them against each other, the AK crushes the AQ, as follows:
AK wins = 71.72%
AQ wins = 23.69%
Tie = 4.58%
In the A7-offsuit vs. KJ-suited, the ace towers over the king and jack. The greatest chance of the KJ player winning is if he pairs up the K or J and no aces appear. I show the probability of that is 37.73% only. The rest of the 46.10% probability of the KJ winning comes from higher hands.
While A7 is strong against KJ, it is more often dominated than KJ by random hands.
Maybe this is a bad comparison, but it is kind of like the game rock paper scissors. Among skilled players, individually each throw should have about the same power rating. However, if one player throws paper and the other scissors, the power ratings mean nothing, and scissors will win.
The reason for hitting the soft hands is you might get a better soft double after the hit. The value of hitting the threes is higher under this rule, because getting an ace would be a good 3-card double.
This question was raised and discussed in the forum of my companion site Wizard of Vegas
.
f(n)= pr(tails in first flip)×f(n-1) +
pr(heads in first flip, tails in second flip)×f(n-2) +
pr(heads in first 2 flips, tails in third flip)×f(n-3) +
pr(heads in first 3 flips, tails in third flip)×f(n-4) +
pr(heads in first 4 flips, tails in fourth flip)×f(n-5) +
pr(heads in first 5 flips, tails in fifth flip)×f(n-6) +
pr(heads in first 6 flips, tails in sixth flip)×f(n-7) +
pr(heads in first 7 flips) =
(1/2)×f(n-1) +
(1/2)2×f(n-2) +
(1/2)3×f(n-3) +
(1/2)4×f(n-4) +
(1/2)5×f(n-5) +
(1/2)6×f(n-6) +
(1/2)7×f(n-7) +
(1/2)7
Where:
f(n)=probability of success within n flips.
pr(x)=probability of x happening.
Spreadsheets are perfect for problems like this. In the screenshots of the spreadsheet below, I put in a probability of 0 for cells B2 to B8, because you can’t have 7 heads in a row in 6 or fewer flips. For cell B9, I put in the formula:
=(1/2)*B8+(1/2)^2*B7+(1/2)^3*B6+(1/2)^4*B5+(1/2)^5*B4+(1/2)^6*B3+(1/2)^7*B2+(1/2)^7
Then I copied and pasted it from cells B10 to cell B102, which corresponds to 100 flips. That probability is 0.317520. A random simulation confirms it.
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After this originally published, Rick Percy shared his matrix algebra solution with me. Here it is in my own words. I assume the reader knows the basics of matrix albegra already.
First, there are eight possible states the flipper can be in at any one point:
p1 = Probability of success, given that you need 7 more heads from the current point.
p2 = Probability of success, given that you need 6 more heads from the current point.
p3 = Probability of success, given that you need 5 more heads from the current point.
p4 = Probability of success, given that you need 4 more heads from the current point.
p5 = Probability of success, given that you need 3 more heads from the current point.
p6 = Probability of success, given that you need 2 more heads from the current point.
p7 = Probability of success, given that you need 1 more heads from the current point.
p8 = Probability of success, given that you don’t need any more heads = 1.
Let’s define the maxtrix Sn as the probability of being in each state after the nth flip. S0 represents the probabilities before the first flip, where there is a 100% chance of being in state 0. So S0 =
| 1 0 0 0 0 0 0 0 |
Let T be the transformation matrix from two consecutive flips, or Sn to Sn+1, where Sn+1 = T × Sn
Putting all that in the form of the transition matrix T =
| 0.5 0.5 0.0 0.0 0.0 0.0 0.0 0.0 0.0 |
| 0.5 0.0 0.5 0.0 0.0 0.0 0.0 0.0 0.0 |
| 0.5 0.0 0.0 0.5 0.0 0.0 0.0 0.0 0.0 |
| 0.5 0.0 0.0 0.0 0.5 0.0 0.0 0.0 0.0 |
| 0.5 0.0 0.0 0.0 0.0 0.5 0.0 0.0 0.0 |
| 0.5 0.0 0.0 0.0 0.0 0.0 0.5 0.0 0.0 |
| 0.5 0.0 0.0 0.0 0.0 0.0 0.0 0.5 0.0 |
| 0.5 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5 |
| 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 |
To get to the probability of each state after one flip...
(1) S1 = S0 × T
How about after two flips?
(2) S2 = S1 × T
Let’s substitute equation (1) in equation (2)...
(3) S2 = S0 × T × T = S0 × T2
What about after 3 flips?
(4) S3 = S2 × T
Substituting equation (3) into (4)...
(5) S3 = S0 × T2 × T = S0 × T3
We can keep doing this all the way to the state after the 100th flip...
S100 = S0 × T100
So, what is T100? Before computers it must have been a huge pain to figure such things out. However, with Excel’s MMULT function and a lot of copying and pasting we find T100 =
| 0.342616 0.171999 0.086347 0.043347 0.021761 0.010924 0.005484 0.317520 |
| 0.339863 0.170617 0.085653 0.042999 0.021586 0.010837 0.005440 0.323005 |
| 0.334379 0.167864 0.084271 0.042305 0.021238 0.010662 0.005352 0.333929 |
| 0.323454 0.162380 0.081517 0.040923 0.020544 0.010313 0.005178 0.355690 |
| 0.301693 0.151455 0.076033 0.038170 0.019162 0.009620 0.004829 0.399038 |
| 0.258346 0.129694 0.065109 0.032686 0.016409 0.008237 0.004135 0.485384 |
| 0.171999 0.086347 0.043347 0.021761 0.010924 0.005484 0.002753 0.657384 |
| 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 1.000000 |
The term in the upper right shows us the probability of being in state 8 after 100 flips, which is 0.317520.
I just wanted to express my disappointment in this change, if it is true. I never had a chance to take advantage of the promotion and doubt I will be able to now. The amount of time necessary to receive 30 blackjacks (I’m told about 8 hours of continuous play) seems unreasonable at $15/hand when the promotion still offers only $100.
Here is the reply I received:
In response to your e-mail on the blackjack blackout promotion, I’m not sure where you received your information on how long it takes to complete the blackout card. We’ve seen players complete the card in less than four hours. Also, you have thirty days in which to complete the card. I hope you understand this is not a task that is unreachable with that much time. I THANK YOU for your letter. It’s good to hear feedback from our customers. Hope you can give it a try and win some money!
What is the probability of getting 30 blackjacks in four hours?
— nyuhoosier
The probability of filling the card in 4 hours, assuming 280 hands, is 1 in 30,000 playing one hand at a time. I suspect any player achieving the goal in four hours was playing at least two hands at a time.
This question was raised and discussed in the forum of my companion site Wizard of Vegas
.
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