Re: empirical equity study
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If you are interested in chip count distribution and its effect on your outcome in the tournament, I would pick one particular spot in a tournament (say, the first hand of the bubble, or the last hand of the bubble). Use the variables above, plus your own chip count (you have to include your own chip count, since that will have the most effect on your outcome). Do a regression analysis. The variable with the most effect, without a doubt, will be your own chip count. But what you could find is whether the chip count distribution has an effect, beyond the effect of your chip count.
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Comment 1: Are you sure you understand ICM? This discussion implies you don't.
The whole point of an equity model like ICM is to find deviations from chipEV, which considers your stack only, and $EV, which considers all stacks. Of course you'll find that bubble play has the largest deviations, with chipEV approaching $EV as you move away from the bubble. We already know this.
eastbay
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