Here I started with team ratings based on Vegas preseason over under wins. Then I used exponential smoothing with alpha=.10 to update ratings. for example, if a team was favored by 10 in a game and won by 20, their rating would increase by .1*(20-10) = 1 point. This method gives more weight to more recent games. For example weight for last weekâs game = .9*weight for current game. With these ratings I cannot predict the score of a game. only margin of victory. NFC is looking tough with top 3 teams. These ratings seem consistent with the late season declines of NE, GB, DEN, and CINN. They also show the great improvement made by teams like the Lions and Seahawks. I will use these ratings to estimate playoff probabilities by tomorrow.
| RANK | TEAM | RATING |
| 1 | SEA | 11.7 |
| 2 | CAR | 9.2 |
| 3 | ARI | 8.3 |
| 4 | PITT | 7.2 |
| 5 | CINN | 6.3 |
| 6 | KC | 6.1 |
| 7 | MINN | 5.5 |
| 8 | NE | 5.3 |
| 9 | DEN | 3.9 |
| 10 | JETS | 2.8 |
| 11 | GB | 2.6 |
| 12 | HOU | 2.3 |
| 13 | WASH | 2 |
| 14 | BUFF | 1.7 |
| 15 | DET | -0.2 |
| 16 | STL | -1.5 |
| 17 | OAK | -2.4 |
| 18 | GIANTS | -2.5 |
| 19 | ATL | -2.6 |
| 20 | BALT | -3.1 |
| 21 | SD | -3.2 |
| 22 | PHI | -3.2 |
| 23 | CHI | -3.3 |
| 24 | NO | -3.6 |
| 25 | DALL | -4 |
| 26 | MIA | -4.3 |
| 27 | INDY | -4.9 |
| 28 | SF | -6 |
| 29 | TAMPA | -6.3 |
| 30 | CLE | -6.6 |
| 31 | JACK | -6.7 |
| 32 | TENN | -10.5 |