Hey football fans! Who’s ready for kickoff? I know you’re all on the edge of your seat for tonight’s Utah vs. Montana State tussle so I’d better get the pre-season rankings out quick!
It’s been an interesting offseason. Here’s a quick reminder of what we learned:
- We learned that guys that wear sweater vests can still commit major NCAA violations
- We learned that The U is still The U and that Nevin Shapiro is the new Uncle Luke
- We learned that Jordan Jefferson has 49 pairs of athletic shoes
- And just yesterday, we learned that Texas A&M would rather get beat up on by the SEC than by their older brother
Interesting indeed! Of course, the big news that actually involves football was the offseason conference re-shuffling. The big moves were made by Nebraska, who left the Big 12 to join the Big 10, Colorado who left the Big 12 to join the Pac 12 and Utah, who took a step up from the Mountain West to the Pac 12 but BYU, who left the Mountain West and are now independent, and Boise State, who left the WAC for the Mountain West, made moves of their own that will also impact the college football landscape. These moves could have a major impact on the national championship picture but we’ll leave that discussion for later.
I take a fully Bayesian approach to ranking college football teams, which means that I must specify a prior distribution in order to fit my model. The prior distribution represents our prior belief about the relative strength of the teams before the season starts. Many ranking systems (Jeff Sagarin’s, for example) use last season’s final rankings as a prior distribution but I don’t think this makes sense given the large amount of turnover in college football. Instead, I use a combination of published pre-season rankings that I translate into the number of points above and below average for all 120 teams. A blog post providing a full description of the prior is forthcoming. My pre-season rankings are my rankings based only on the prior. My pre-season top 10 can be found below (full rankings can be found on my personal website: www.biostat.umn.edu/~josephk/ps_rankings_2011.pdf).
Rank | Team | Rating | Record | SOS1 | SOS2 | E(FR) | P(WARG) |
1 | Alabama | 24.72 | 0-0 | 3.09 | 0.093 | 9.95-2.05 | 0.06 |
2 | Oklahoma | 24.58 | 0-0 | 4.83 | 0.082 | 9.97-2.03 | 0.075 |
3 | Oregon | 23.88 | 0-0 | 3.46 | 0.124 | 10.14-1.86 | 0.074 |
4 | Florida State | 23.32 | 0-0 | 2.29 | 0.167 | 10.21-1.79 | 0.076 |
5 | LSU | 23.04 | 0-0 | 7.67 | 0.037 | 8.98-3.02 | 0.013 |
6 | Stanford | 22.06 | 0-0 | 2.33 | 0.200 | 10.22-1.78 | 0.087 |
7 | Boise State | 21.5 | 0-0 | -4.2 | 0.390 | 10.88-1.12 | 0.25 |
8 | Oklahoma State | 20.8 | 0-0 | 3.78 | 0.105 | 9.5-2.5 | 0.035 |
9 | Texas A&M | 20.66 | 0-0 | 4.88 | 0.097 | 9.43-2.57 | 0.031 |
10 | Arkansas | 20.24 | 0-0 | 4.74 | 0.053 | 8.95-3.05 | 0.008 |
Another way to look at the pre-season rankings is to consider the top 15 teams with the best chance of going undefeated:
P(WARG) Rank | Rank | Team | P(WARG) |
1 | 7 | Boise State | 0.25 |
2 | 17 | TCU | 0.117 |
3 | 11 | Virginia Tech | 0.112 |
4 | 52 | Houston | 0.088 |
5 | 6 | Stanford | 0.087 |
6 | 4 | Florida State | 0.076 |
7 | 2 | Oklahoma | 0.075 |
8 | 3 | Oregon | 0.074 |
9 | 1 | Alabama | 0.06 |
10 | 24 | West Virginia | 0.036 |
11 | 8 | Oklahoma State | 0.035 |
12 | 12 | Wisconsin | 0.032 |
13 | 9 | Texas A&M | 0.031 |
14 | 13 | Notre Dame | 0.029 |
15 | 29 | BYU | 0.018 |
I don’t know about you but this has me excited. I hope you are too! I can’t wait until kickoff.
No comments:
Post a Comment