Playing poker and expecting to win can be difficult. You need to know good strategies to make sure that you can win. If you like math, then you can make use of mathematical gambling systems to help you win at poker easily. Mathematical gambling systems can prove you that there is a better chance of winning using numbers. One of the famous mathematical gambling systems currently used for 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 this works:
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. สล็อตเครดิตฟรี
If you make use of a fraction f 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 would bet on every play of the game. To maximize your winnings, let’s say that f = 1, which means that you will be using your whole bankroll to bet. With this value, you can usually and easily become broke when there is a moderate or large value of N. You might only win this if you have a probability p that is nearly 1.
Since you do not want to lose your whole bank roll in one bet, you need to fully utilize 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 for it using the Log function. 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 probable 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 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 the following formula to get these values: