The Dr. Edward Kambour NFL Football Ratings

2025 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           77.9458  3.4962
     LA Rams           77.4731  2.1904
     Buffalo           76.5244  3.1299
     Detroit           75.6877  2.6919
     Houston           75.0347  2.3543
     Philadelphia      74.6966  1.6717
     Baltimore         74.5059  2.0243
     New England       73.9497  0.5515
     Jacksonville      73.0800  2.8241
     Kansas City       72.8004  2.5152
     Green Bay         72.2983  4.3417
     San Francisco     72.1325  3.1160
     Denver            72.0424  3.6072
     LA Chargers       71.8675 -0.0379
     Tampa Bay         71.7977 -0.6310
     Minnesota         71.6022  3.4232
     Indianapolis      71.4576  1.8832
     Chicago           69.9070  3.4663
     Pittsburgh        69.1261  3.8109
     Cincinnati        68.9836  0.1832
     Washington        68.2157 -1.2763
     Dallas            67.4215  2.0601
     Atlanta           67.0276  1.8225
     New Orleans       66.5773  0.1018
     Miami             66.3835  2.5838
     NY Giants         66.3761  0.7517
     Arizona           66.3447  1.6493
     Carolina          64.5412  1.8297
     Cleveland         62.3619  3.8597
     Tennessee         61.2078  2.0115
     Las Vegas         60.9748  1.9767
     NY Jets           59.6548  3.5220

Note: Ratings include games through 1/25/26
 

  

  



  
  


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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