The Dr. Edward Kambour NFL Football Ratings2009 Season Ratings |
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Below are the ratings for NFL football. The first column is the team, followed by the estimated power rating and home-field advantage. To forecast the outcome of a game simply subtract the visiting team's rating from the sum of the home team's rating and the home team's home field advantage. The difference is approximately the forecasted point-spread. Thus, if the result is positive, the home team is predicted to win, while if the result is negative, the visiting team is predicted to win. The teams are ranked by their ratings. Predictions of this weekend's games can be found here. |
Rating HomeAd
Indianapolis 78.2657 0.4853
NY Jets 77.1001 0.1459
San Diego 76.8873 -0.1457
New England 76.7684 5.1359
New Orleans 76.7347 4.8951
Green Bay 75.9501 3.1715
Atlanta 75.8558 0.0554
Baltimore 75.6670 8.2711
Philadelphia 74.5559 2.7459
Minnesota 73.6988 10.6807
Carolina 73.5111 0.9421
Pittsburgh 72.6677 2.5060
NY Giants 72.3450 0.7895
Dallas 71.6959 10.0401
Miami 71.6283 0.1811
San Francisco 71.1924 1.6086
Houston 70.7889 3.4788
Denver 70.3481 -1.6529
Arizona 70.0617 1.4775
Cincinnati 69.3815 2.9716
Washington 68.9593 -5.2999
Tennessee 68.5177 4.8390
Chicago 67.1368 3.9025
Buffalo 65.8805 4.4424
Tampa Bay 65.8054 -1.0790
Jacksonville 63.9778 3.9615
Kansas City 63.8902 -3.8028
Oakland 61.9491 -2.0159
Cleveland 60.9058 4.1809
Seattle 59.2791 9.3906
Detroit 59.0019 -1.2018
St Louis 52.6387 3.4347
Note: Ratings include games up to 1/25/10.
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Note: These ratings are the result of a Dynamic Hierarchical Bayesian Linear Forecaster. The author has a Ph.D. in Statistics from Texas A&M. He specializes in Bayesian Forecasting. The forecasting method has been presented at four technical conferences, the 1997 and 1998 Conferences of Texas Statisticians, as an invited presentation at the 2001 Joint Statistical Meetings , and at a 2003 Houston INFORMS meeting. The powerpoint slides from the INFORMS talk are available here. Email:edwardkambour@sbcglobal.net |