We can drastically simplify the situation to get a handle on it: suppose that all the other players are in statistically independent competitions with you, i.e. whether or not you win over player A is independent of whether or not you win over player B. (This is, in all likelihood, false, but we forge ahead nonetheless.) Suppose further that your probability of beating another player is some number p. Then the portion of the pot you can expect to win with seven players (including yourself) is
0.6 * p[sup]6[/sup] + 0.4 * 6 * (1-p) * p[sup]5[/sup]
while with eight players, it’s
0.6 * p[sup]7[/sup] + 0.3 * 7 * (1-p) * p[sup]6[/sup] + 0.1 * 42 * (1-p)[sup]2[/sup] * p[sup]5[/sup]
I plotted the difference between these two functions for p between zero and one. It turns out that the eight-player expectation value is better for all p between 0 and 2/3 (i.e. for all poor players), and worse for p between 2/3 and 1. Unfortunately, the difference is very slight: the largest value of the difference is only about 0.007, and that’s for p = 0.53 or so. In other words, adding an eighth player will increase your expected winnings by at most 0.7% of the pot.
You can also repeat this exercise to see what the probability is that you’ll win something — i.e. you don’t care about how much you win, you just want some glory. In that case, you would replace all the 0.6, 0.4, 0.3, and 0.1’s in the above formulas with 1’s. You’ll find that everyone is more likely to get some money in the seven-player game, regardless of how good or bad they are.
Finally, if you take into account the fact that the pot is larger for the eight-player game (assuming that there’s a set buy-in fee for everyone), then you just multiply the eight-player formula by 8/7 to compensate for this. In this case, everyone, regardless of how good they are, can expect to win more in the eight-player game.
I’ve been very sketchy in the above description, so let me know if you want more details.