The Dr. Edward Kambour NFL Football Ratings

2024 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
     Baltimore         78.9591  2.9807
     Detroit           78.5155  2.2801
     Buffalo           77.7626  3.9563
     Philadelphia      76.5742  2.6876
     Kansas City       75.8892  1.1541
     Tampa Bay         75.7960 -1.2929
     LA Chargers       74.5990 -1.5379
     Green Bay         74.5624  4.5080
     Minnesota         73.4293  1.1509
     Cincinnati        72.3132  1.0480
     Washington        72.3041 -2.4025
     Denver            72.1590  4.1350
     LA Rams           71.7104  1.3138
     San Francisco     71.6986  3.1103
     Arizona           70.4297  1.1484
     Pittsburgh        70.2672  3.8421
     Seattle           69.4303  2.4145
     Houston           69.2462  2.4521
     Miami             68.7889  3.6166
     Dallas            68.6971  1.7353
     New Orleans       68.5542 -0.4227
     Atlanta           66.7658  2.5674
     Indianapolis      66.6360  1.6401
     Chicago           65.5409  4.1007
     Las Vegas         65.3965  2.2863
     Jacksonville      65.3554  1.4160
     New England       64.8368 -0.1261
     NY Jets           64.5763  4.9229
     Cleveland         63.2690  3.2090
     NY Giants         63.1493  0.6069
     Tennessee         63.1362  1.9367
     Carolina          59.6518  2.3836


Note: Ratings games through 1/26/24.
 

  

  



  
  


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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