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Roulette What are the odds of flat betting randomly on even chances and losing 7 units before winning 3?

Discussion in 'Roulette Forum' started by Johndepz, Apr 17, 2024.

  1. Johndepz

    Johndepz Member

    Joined:
    May 4, 2023
    Likes:
    8
    Location:
    new york
    what are the odds of flat betting randomly on red black odd even high low and losing seven units before winning three
     
  2. Peterpan

    Peterpan Member

    Joined:
    Aug 12, 2022
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    19
    Location:
    Greece
    Masaniello?
     
  3. casinocrypto_

    casinocrypto_ New Member

    Joined:
    Apr 25, 2024
    Likes:
    0
    Location:
    Spain
    The probability of either losing seven units before winning three, or winning three units before losing seven, when flat betting randomly on even-money bets like red, black, odd, even, high, or low in roulette, is approximately 97.96%. This high probability indicates that reaching either outcome is very likely in this scenario.

    from scipy.stats import binom

    # Define the probability of losing a single even-money bet (e.g., red, black, odd, even, high, low)
    p_lose = 0.486 # Approximate probability of losing an even-money bet in roulette
    n_games = 10 # Total games played until either losing 7 units or winning 3 units

    # Calculate the probability of losing 7 units before winning 3 units
    # This means we lose 7 games before winning 3, out of 10 games (as losing 7 units ends the trial)
    games_to_lose = 7 # Number of losses required to lose 7 units
    prob_losing_first = binom.cdf(games_to_lose - 1, n_games, p_lose) # P(X < 7), where X is number of losses

    # Calculate the probability of winning 3 units before losing 7 units
    # This means winning 3 games before losing 7, out of 9 games or less
    p_win = 1 - p_lose # Probability of winning a single game
    games_to_win = 3 # Number of wins required to win 3 units
    prob_winning_first = binom.cdf(games_to_win - 1, n_games - games_to_lose, p_win) # P(X < 3)

    # Probability of either losing 7 units before winning 3 or winning 3 units before losing 7
    prob = prob_losing_first + (1 - prob_losing_first) * prob_winning_first

    prob =
    0.9796481492548674​
     

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