The Dr. Edward Kambour NFL Football Ratings

2026 Season Ratings 




  
  

    
      
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
     Seattle           80.8746  0.7081
     Baltimore         76.8304 -3.0729
     Buffalo           76.7194  3.5660
     San Francisco     76.5247  0.5255
     LA Rams           76.1814  2.8228
     New England       75.3503  0.5081
     Detroit           74.2326  2.7172
     Kansas City       73.3768  4.1616
     Houston           73.2821  0.6390
     Minnesota         73.2706  4.8176
     Philadelphia      73.0169  1.7611
     Jacksonville      72.5484  5.4140
     Cincinnati        71.9479 -0.2243
     Green Bay         71.0461  4.0575
     Indianapolis      70.5111  1.4378
     Tampa Bay         70.5071 -2.1018
     Chicago           69.8943  4.7493
     Denver            69.6890  5.5795
     New Orleans       69.2521 -1.0157
     LA Chargers       69.0598 -1.6588
     Dallas            68.1730  1.9936
     Pittsburgh        68.0953  2.9288
     Arizona           67.3092 -0.5348
     Washington        67.1062 -1.1900
     Carolina          65.6224  2.4061
     NY Giants         65.4731  2.5335
     Las Vegas         63.9471  1.9181
     Atlanta           63.6472  0.2406
     Miami             62.8797  4.9167
     NY Jets           62.0419  2.5021
     Cleveland         61.6953  5.9218
     Tennessee         59.8940  2.7855


Note: Ratings include games through Sept 21, 2026.
 

  

  



  
  


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



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