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I hope you're using some advanced simulation techniques (like those presented in Amazon.com: Monte Carlo Statistical Methods (Springer Texts in Statistics): Books: Christian P. Robert,George Casella).
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wooo! you should have tailed my computer generated pick!
so I guess nobody has done this type of handicapping .. oh well
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2009 NCAA Football Record: 41-38-1 +/- Units: +1.69 2009 NFL Football Record: 11-14-0 +/- Units: -2.71 2009-10 NBA Basketball Record: 15-15-2 +/- Units: -0.68 All favorites to win 1 unit, all dogs to win 1 unit, unless otherwise noted! <-- look at him go!
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dude chill out, I'm talking about if anyone on this message board has done anything like this.
from the lack of responses I guess not or nobody cares to contribute
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2009 NCAA Football Record: 41-38-1 +/- Units: +1.69 2009 NFL Football Record: 11-14-0 +/- Units: -2.71 2009-10 NBA Basketball Record: 15-15-2 +/- Units: -0.68 All favorites to win 1 unit, all dogs to win 1 unit, unless otherwise noted! <-- look at him go!
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ncchuck, dont take the comments the wrong way. I know RJP,gets into the mathematical equations of the possible outcome for any event.
I too was on hou yesterday and did not place my bet based on any simmulation. Keep that system going, and hopefully you can win some $$$$ for all of us... ![]() |
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Sorry about how that post came off.
The questions that come to mind are: what are you looking for out of the simulation as output? Obviously you want "winners", so to speak, but you're looking to simulate as best possible the approximate odds for the game. I'm currently working on bayesian models that include simulation to fit the model, but it's not at a point worth betting with. Also, you'll need some sort of measure for error so that you're not betting on games with a confidence level that covers a large band of probabilities. In the case of MLB games, the probability changes for each game, so you can't exactly use a binomial distribution to obtain a 99% confidence level (something I personally use for specific things so that I don't overbet). Anyway, I like to see the discussion, so any details about the exact method(s) you're using would be helpful. |
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