gambling

Mathematical Gambling Systems For Easily Winning at Poker

Playing poker and expecting to win You need to know good strategies to make sure that you win. If you like math, then you can use the mathematical gambling system. Mathematical gambling systems can prove to you One of the famous mathematical gambling systems is Poker is the Kelly Criterion.

The Kelly Criterion is one of the mathematical gambling systems that have proven itself effective in most gambling games such as poker. Let’s see how works: 안전놀이터

Let’s say that you have a Bankroll B that you can use for poker and have a probability p of winning V units but have a probability of (1-p) of losing 1 unit. The expected chance of winning will then be calculated using the formula: W = p (V) + (1 – p) (-1) = p (V + 1) – 1

If you make use of a fraction of your bankroll in n times, then your probable worth of the final bankroll will be calculated by: if 0 0) and having known the values ​​of W, B and N, you now need to know how much you will To maximize your winnings, let’s say that f = 1, which means you’ll be using your full bankroll to bet With this value, you can usually and easily become broke when there is a moderate or large value of N. You can only win this if you have a probability p that is about 1

Since you do not want to lose your entire bank roll in one bet, you need to fully use your bankroll, which is denoted by u [x] = Log [x]. Here, x is the bankroll and u means the utility of the bankroll You can solve With this, you can see that when the bankroll diminishes to near zero, it means that every small reduction in your bankroll is a immense defeat in utility.

You can calculate for the possible value of u [B] by using the formula:

K [f, v, p, b] = p Log [1 + f V] + (1 – p) Log [1 – f] + Log [B]

Since you still have to maximize the utility, you need to get the maximum K [f] probable value of u [b] by getting the derivative of k [f] with value to f, set it equal to zero and solve for f to check if this number is really the maximum point and not the saddle point Use these values:

f_max = (p (V + 1) – 1) / V = ​​w / V

K ‘[f_max] = 0 = p V / (1 + f V) – (1 – p) / (1 – f)

Knowing all this, you can now know your chance of winning for each game and also know how to bet for you Remember that you can only compute for the chance and therefore, it is up to you This is how the Kelly Criterion, a mathematical gambling system, determines your chances of winning.

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