No that's great information. Thanks for the clarification. I knew you could approximate a binomial dist. with a normal one: now I know how. I'm still not clear exactly how to use a multinomial, but I suspect it's what I have here. What I am doing is VERY simple. Let's say the Brewers are playing 3, 1 game series in a row and have a probability of beating each team, .5, .6, .55, respectively. I'm just running a crummy simulation, generating a random number for each game and summing up the wins. Repeat 10,000 times and get a decent approximation of the true probabilities of winning 0 games, 1, game, etc... I actually did it for the last 19 games, but as the team plays a game I simply change the probability to 1 or 0, depending on the outcome of the game. I searched high and low for a more elegant way to solve this, but it appears most SABR guys "cheat" by simulating lot's of stuff. Alot of SABR guys (like me) don't have a statistics background, so it's usually just easier to throw a couple random number functions into excel. If you have any advice or questions, I'd love to hear it.