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  2. Gambling mathematics - Wikipedia

    en.wikipedia.org/wiki/Gambling_mathematics

    The mathematics of gambling is a collection of probability applications encountered in games of chance and can get included in game theory.From a mathematical point of view, the games of chance are experiments generating various types of aleatory events, and it is possible to calculate by using the properties of probability on a finite space of possibilities.

  3. Poker probability - Wikipedia

    en.wikipedia.org/wiki/Poker_probability

    The values given for Probability, Cumulative probability, and Odds are rounded off for simplicity; the Distinct hands and Frequency values are exact. The nCr function on most scientific calculators can be used to calculate hand frequencies; entering nCr with 52 and 5 , for example, yields ( 52 5 ) = 2 , 598 , 960 {\textstyle {52 \choose 5 ...

  4. Poker calculator - Wikipedia

    en.wikipedia.org/wiki/Poker_calculator

    Poker calculators are algorithms which through probabilistic or statistical means derive a player's chance of winning, losing, or tying a poker hand. [ 1 ] [ 2 ] Given the complexities of poker and the constantly changing rules, most poker calculators are statistical machines, probabilities and card counting is rarely used.

  5. Game of the Day: World Class Poker - AOL

    www.aol.com/news/2014-11-07-game-of-the-day...

    Hone your skills with the comprehensive poker tutorial and probability calculators while you play against thousands of AI opponents in limit and no-limit games, satellites, heads-up, single-table ...

  6. Martingale (betting system) - Wikipedia

    en.wikipedia.org/wiki/Martingale_(betting_system)

    In this example, the probability of losing the entire bankroll and being unable to continue the martingale is equal to the probability of 6 consecutive losses: (10/19) 6 = 2.1256%. The probability of winning is equal to 1 minus the probability of losing 6 times: 1 − (10/19) 6 = 97.8744%. The expected amount won is (1 × 0.978744) = 0.978744.

  7. Kelly criterion - Wikipedia

    en.wikipedia.org/wiki/Kelly_criterion

    Example of the optimal Kelly betting fraction, versus expected return of other fractional bets. In probability theory, the Kelly criterion (or Kelly strategy or Kelly bet) is a formula for sizing a sequence of bets by maximizing the long-term expected value of the logarithm of wealth, which is equivalent to maximizing the long-term expected geometric growth rate.

  8. Odds - Wikipedia

    en.wikipedia.org/wiki/Odds

    When probability is expressed as a number between 0 and 1, the relationships between probability p and odds are as follows. Note that if probability is to be expressed as a percentage these probability values should be multiplied by 100%. " X in Y" means that the probability is p = X / Y. " X to Y in favor" means that the probability is p = X ...

  9. St. Petersburg paradox - Wikipedia

    en.wikipedia.org/wiki/St._Petersburg_paradox

    What would be a fair price to pay the casino for entering the game? To answer this, one needs to consider what would be the expected payout at each stage: with probability ⁠ 1 / 2 ⁠, the player wins 2 dollars; with probability ⁠ 1 / 4 ⁠ the player wins 4 dollars; with probability ⁠ 1 / 8 ⁠ the player wins 8 dollars