Football appears to be over for Michigan State fans, but basketball season is just heating up. For the entire three months of the football season, I have been providing a mathematics and simulation-based approach to predicting how the football season will play out. But my analysis is not limited to the gridiron. Very similar methods can be used to project the results on the basketball court as well. The primary difference between the methods that I use for football and basketball is the way that I evaluate the strength of each team. For football, I have my own power ranking algorithm that I supplement with preseason rankings in the first few weeks of the season. For basketball, I rely on the tempo-free efficiency data provided by Ken Pomeroy (a.k.a. "Kenpom"). The data supplied by Kenpom can be used to project point spreads and the probability of victory in any arbitrary college basketball match-up. If one has a method to estimate these probabilities, then essentially the en...