"Gram Takes Shots Probability Factor" explained.

I've come up with a new way to measure the excitability of games: the "Gram Takes Shots Probability Factor."

Given a Michigan win (any sport), the factor will hypothetically consider the game happened on a Friday night, with nothing for him to do on Saturday (and no PT test the following Monday.) The scale will range from .0 to 2.0.

Explained:
0.0 = no way in hell.
1.0 = he'll take shots.
1.5 = he's going out to party.
2.0= he's going out to party, but not just party, he's also going to have subs. It's going to be crazy.
(Subs, explained.)

Gram and I may read mgoblog too much. We bought shirts.


I will predict the probability of a game, and also give a probability recap after the game.

E.G.
Syracuse G.T.S.P. prediction: 0.8

Kansas G.T.S.P. recap: 1.0 (he pulled out the Woodford Reserve.)

2012 MSU Football game G.T.S.P. recap: 1.5 (he partied 'til 11:30. That crazy bastard. But not crazy enough to have subs.)

Michigan wins national championship G.T.S.P. prediction: 2.0. FIREEEHOUSEEEEE! SMOKEHOUSE BEEF & CHEDDAR BRISKET!!! Not that pussy little 8" shit either, I'm talking footlongs. We'll go all the way past the county line to get those subs if we have to.