Buy in requirements

[ORTOM]

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The variance of a binomial distribution is n*P*(1-p)
s.d = sqrt[n*P*(1-p)] but this assumes p is constant for each game .



I didnt' assume that p was constant for each game. It varied between 50 and 70 percent. In my simulation, I first picked what the winrate would be, then, based on that, decided if the player won.



but assuming u sit down first in a sng, u should calculate with p=0.6 as u dont know anything about your random opponent, dont u? sitting there with a good or bad opponent is part of luck, so your variance shouldnt be reduced if u do well vs certain opps and do bad vs others. pls correct me if i m wrong.

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Who you opponent is is a random event, just like what cards you get. But that doesn't meen it can't be incorporated into a model for formula.

[donkeykong2]

yeah but isnt it useless to do this?