The first image has the "Win Percentage" graph, which says that in 90.7% of those 10,000 simulations (or about 9070 of them), Obama wins. This figure comes into play later, but I want to focus on the more interesting chart, specifically the first two rows. The chance of Obama winning the Electoral vote but losing the popular is 5.07% (507 of 10,000 simulations) and the chance of the same happening to McCain is 1.10% (110/10,000). A cursory glance would make it seem like Obama has a five-times greater chance of pulling a Hayes. However, given that Obama has a 90.7% of winning, then, if he wins, he has a 5.07/90.7 = 5.59% chance of that victory being a Hayes-ian one. But, if McCain wins, he has a 1.1/9.3 = 11.9% chance of that victory being Hayes-ian — double that of Obama.
For more on this wacky mathematics, check out Bayes' Theorem, and be glad it's used to filter your spam!