Talisman Red's NHL Computer Ratings


Welcome! This is my rough attempt at a computer rating that can, among other things, come somewhat close to predicting final game scores.

The actual computer rating, which describes team performance based on games played to date, is found under the "Rating" column. To determine a hypothetical margin of victory, use the "Points" column (just subtract the teams in question) and add the home advantage, which is shown below and is usually about 0.25 to 0.5 goals.

In the Predictions section, all those games already have home advantage added in, and also show a predicted total.

Shootouts and overtimes make predicting scores tricky, and to deal with that all games that go to a shootout will be recorded as ties. This will, hopefully, improve the accuracy of the predictions.


(Everything is here on a single, scrollable page now. This reduces the need for the Javascript tabs, which were nice but unneeded. Scrapers should not be impacted. Links to original text files are in the Description section.)

Ratings

Ratings last updated 07-Oct-2026 / 8 AM ET
                     Talisman Red Computer Ratings                      
                Through Games Of Tuesday 06 October 2026                

------------------------------------------------------------------------
 Rank Team                      W  L   Rating   BCS   Points   Conf.
------------------------------------------------------------------------
    1 Colorado                  2  0     3.76     2    11.19   Central 
    2 Carolina                  2  2     3.74     1    10.91   North   
    3 Buffalo                   2  1     2.18     3    10.53   East    
    4 Minnesota                 2  1     2.03     6    10.64   Central 
    5 Tampa Bay                 2  1     1.99     4    10.57   East    
    6 Las Vegas                 3  1     1.98     5    10.61   West    
    7 Ottawa                    2  1     1.59     9    10.52   East    
    8 Montreal                  1  2     1.56     7    10.39   East    
    9 Utah                      3  1     1.55    10    10.57   Central 
   10 Washington                1  1     1.52     8    10.42   North   
   11 Pittsburgh                2  1     1.30    11    10.54   North   
   12 NY Rangers                4  1     0.86    15    10.42   North   
   13 Dallas                    1  2     0.79    13    10.31   Central 
   14 Boston                    2  2     0.57    12    10.13   East    
   15 Edmonton                  2  1     0.16    16    10.07   West    
   16 Anaheim                   2  0    -0.13    14     9.80   West    
   17 Columbus                  1  1    -0.16    21    10.06   North   
   18 St Louis                  1  2    -0.27    17     9.91   Central 
   19 NY Islanders              1  2    -0.43    22     9.91   North   
   20 Florida                   2  2    -0.60    20     9.76   East    
   21 Winnipeg                  2  1    -0.64    19     9.72   Central 
   22 Detroit                   1  2    -0.81    24     9.78   East    
   23 Nashville                 1  2    -1.11    26     9.75   Central 
   24 Philadelphia              0  4    -1.14    25     9.72   North   
   25 New Jersey                1  2    -1.32    23     9.42   North   
   26 San Jose                  2  1    -1.37    18     9.28   West    
   27 Seattle                   2  2    -1.62    28     9.64   West    
   28 Toronto                   2  2    -1.89    27     9.47   East    
   29 Los Angeles               0  3    -2.51    29     9.42   West    
   30 Chicago                   1  3    -3.43    30     8.99   Central 
   31 Vancouver                 2  2    -4.05    32     8.87   West    
   32 Calgary                   0  3    -4.12    31     8.69   West    

Explanations:

  These ratings use a method I developed many years ago, which
  is a blend of two separate components: one for predicting scores
  and another that considers only winning and losing.  The two
  components are then combined into an overall rating, which is
  how the teams are sorted.

  For a score-agnostic ranking, use the "BCS" column.  And if 
  you want to predict margin of victory in a hypothetical matchup,
  just use the "Points" column.  Add in home advantage, if 
  appropriate.

Home advantage in this set of rankings: 0.16



Predictions

                       PREDICTIONS FOR UPCOMING GAMES

  Date     Away Team                 Home Team                 Total    Prediction
---------  ------------------------  ------------------------  -----  --------------
07-Oct-26  Edmonton                  Anaheim                     8.4  AWAY by  -0.11
07-Oct-26  Colorado                  Winnipeg                    5.7  AWAY by  -1.31
07-Oct-26  Pittsburgh                Washington                  6.7  HOME by   0.04

08-Oct-26  Dallas                    Buffalo                     5.9  HOME by   0.38
08-Oct-26  Philadelphia              Ottawa                      5.4  HOME by   0.95
08-Oct-26  Toronto                   Las Vegas                   6.7  HOME by   1.30
08-Oct-26  Colorado                  Calgary                     5.3  AWAY by  -2.34
08-Oct-26  San Jose                  St Louis                    6.2  HOME by   0.78
08-Oct-26  Chicago                   NY Islanders                5.6  HOME by   1.08
08-Oct-26  Vancouver                 Carolina                    7.2  HOME by   2.19
08-Oct-26  Minnesota                 Tampa Bay                   6.2  HOME by   0.09
08-Oct-26  Nashville                 Montreal                    6.3  HOME by   0.80
08-Oct-26  Utah                      Boston                      5.6  AWAY by  -0.28

09-Oct-26  Pittsburgh                Columbus                    6.9  AWAY by  -0.33
09-Oct-26  Anaheim                   Winnipeg                    6.3  HOME by   0.08
09-Oct-26  NY Rangers                Washington                  5.5  HOME by   0.16
09-Oct-26  Seattle                   Detroit                     5.7  HOME by   0.30

10-Oct-26  Anaheim                   Calgary                     5.8  AWAY by  -0.95
10-Oct-26  Toronto                   Colorado                    7.3  HOME by   1.88
10-Oct-26  Dallas                    Pittsburgh                  6.9  HOME by   0.39
10-Oct-26  Philadelphia              Boston                      5.1  HOME by   0.57
10-Oct-26  Los Angeles               Las Vegas                   6.2  HOME by   1.35
10-Oct-26  Tampa Bay                 NY Islanders                5.9  AWAY by  -0.50
10-Oct-26  Columbus                  St Louis                    5.3  HOME by   0.01
10-Oct-26  Carolina                  Chicago                     6.0  AWAY by  -1.76
10-Oct-26  Nashville                 Ottawa                      6.0  HOME by   0.92
10-Oct-26  Detroit                   Montreal                    5.7  HOME by   0.78
10-Oct-26  Utah                      Buffalo                     6.3  HOME by   0.12
10-Oct-26  Minnesota                 Florida                     6.6  AWAY by  -0.72
10-Oct-26  Edmonton                  San Jose                    8.4  AWAY by  -0.63
10-Oct-26  Vancouver                 New Jersey                  7.2  HOME by   0.70

11-Oct-26  Vancouver                 NY Rangers                  6.9  HOME by   1.70
11-Oct-26  Carolina                  Philadelphia                5.1  AWAY by  -1.03
11-Oct-26  Seattle                   Washington                  5.5  HOME by   0.94

12-Oct-26  Florida                   Buffalo                     5.7  HOME by   0.92
12-Oct-26  Las Vegas                 Minnesota                   5.6  HOME by   0.19
12-Oct-26  Ottawa                    New Jersey                  6.3  AWAY by  -0.94


Ratings by Division

Teams are sorted by computer ranking (in parentheses), not necessarily by win-loss percentage. As on the front page, overtime games get recorded as ties to make the predictions hopefully more accurate. Playoff games between division teams end up getting counted here, too.

                     Talisman Red's Hockey Ratings                      
                Through Games of Tuesday 06 October 2026                
                     Standings by Conference (NHL)                      

Teams are sorted by their overall ranking and not by their
winning percentage, in or out of conference.


------------------------------------------------------------------------
Conf Rank  1            East              Average   0.57
Rank All Team                    CW CL    W  L   Rating   Non-Conf SOS
------------------------------------------------------------------------
  1    3 Buffalo                  0  0    2  1      2.18    -0.11  24
  2    5 Tampa Bay                0  0    2  1      1.99    -0.06  19
  3    7 Ottawa                   2  1    2  1      1.59     0.17  11
  4    8 Montreal                 1  0    1  2      1.56     0.35   9
  5   14 Boston                   0  1    2  2      0.57    -0.04  15
  6   20 Florida                  0  0    2  2     -0.60    -0.08  21
  7   22 Detroit                  1  0    1  2     -0.81    -0.08  20
  8   28 Toronto                  0  2    2  2     -1.89    -0.11  25


------------------------------------------------------------------------
Conf Rank  2           North              Average   0.55
Rank All Team                    CW CL    W  L   Rating   Non-Conf SOS
------------------------------------------------------------------------
  1    2 Carolina                 1  1    2  2      3.74     0.33  10
  2   10 Washington               1  0    1  1      1.52    -0.04  14
  3   11 Pittsburgh               1  0    2  1      1.30    -0.06  18
  4   12 NY Rangers               1  0    4  1      0.86    -0.01  12
  5   17 Columbus                 0  0    1  1     -0.16    -0.05  17
  6   19 NY Islanders             1  1    1  2     -0.43    -0.11  23
  7   24 Philadelphia             0  3    0  4     -1.14    -0.04  13
  8   25 New Jersey               1  1    1  2     -1.32    -0.05  16


------------------------------------------------------------------------
Conf Rank  3          Central             Average   0.34
Rank All Team                    CW CL    W  L   Rating   Non-Conf SOS
------------------------------------------------------------------------
  1    1 Colorado                 1  0    2  0      3.76    -0.33  32
  2    4 Minnesota                1  0    2  1      2.03    -0.25  27
  3    9 Utah                     1  0    3  1      1.55    -0.09  22
  4   13 Dallas                   0  2    1  2      0.79    -0.32  30
  5   18 St Louis                 1  2    1  2     -0.27    -0.30  29
  6   21 Winnipeg                 0  0    2  1     -0.64    -0.27  28
  7   23 Nashville                1  1    1  2     -1.11    -0.33  31
  8   30 Chicago                  1  1    1  3     -3.43    -0.22  26


------------------------------------------------------------------------
Conf Rank  4            West              Average  -1.46
Rank All Team                    CW CL    W  L   Rating   Non-Conf SOS
------------------------------------------------------------------------
  1    6 Las Vegas                2  1    3  1      1.98     0.95   1
  2   15 Edmonton                 2  1    2  1      0.16     0.46   4
  3   16 Anaheim                  1  0    2  0     -0.13     0.45   8
  4   26 San Jose                 1  0    2  1     -1.37     0.45   7
  5   27 Seattle                  2  2    2  2     -1.62     0.46   4
  6   29 Los Angeles              0  1    0  3     -2.51     0.70   2
  7   31 Vancouver                2  2    2  2     -4.05     0.46   3
  8   32 Calgary                  0  3    0  3     -4.12     0.46   6




Division Rankings


The average computer rating of all teams in a division is shown here.

         Talisman Red's Hockey Ratings          
    Through Games of Tuesday 06 October 2026    
              Conference Rankings               

-----------------------------------------
 Rank Conference      Avg. Rating  Var
-----------------------------------------
    1 East                0.57  +- 0.8
    2 North               0.55  +- 0.8
    3 Central             0.34  +- 1.1
    4 West               -1.46  +- 1.1

Explanation:
  The simple average of all teams in a conference is shown
  here.  The 'var' column is half of the standard deviation
  of those teams, which is not the best way but a simple-
  enough way of describing the reasonableness of using a
  single number to describe that conference's strength.


Description


Original Text Files

Feel free to download these; if you use them elsewhere, give credit to talismanred.com.

What is this about?

Computer ratings are the starting point for Vegas oddsmakers, and have traditionally done reasonably well at predicting game winners. On this page, I share my own formula, which I've been producing for one sport or another for about 20 years. If you're familiar with ratings you've probably heard of the others: Sagarin, Massey, and more.

So it's just a math formula?

Yep, that's all that computer ratings are. You can do it this way, or you can do like they do for college sports and do a human "poll" (coaches, writers, whoever).

The formula here is one that I developed quite a few years ago to try and "compete" with all the other folks who are doing it. That's where the predictions come from -- incorporating historical games and trying to use those to figure out what will happen next. It includes scores, dates, and locations, but no other information. No information about injuries, pace or speed of the game, penalties, etc. Those things *do* matter, but they aren't factored in here.

Are the predictions any good?

Great question, and the answer depends on the sport:

  • In the NBA: in 2023-24 my system predicted 64.2% of game winners correctly
  • In college football in 2023, 71.5% correct
  • In college basketball in 2023-24, 70.4% correct

My suspicion is that in the NHL, since won-lost records are not nearly as spread out as in football, that the predictions are in the 65 percent range. And that, while comparable to other systems, it's probably less accurate than the Vegas oddsmakers. But you would expect that -- you can't beat an added human touch!

Where I've seen value is in the over-under predictions. When those deviate far away from Vegas (which is usually 5.5, but sometimes 5 or 6), that's often a sign that something is worth investigating. I've had mild betting success with those.

Who are you, anyway?

I have a Ph.D. in Atmospheric Science from the University of Alabama in Huntsville, and am currently a faculty member at Indiana University in Bloomington. In addition to lots of teaching, I have research interests in the broad areas of thunderstorms and numerical weather prediction (forecasting using computers).

Contact me using this email form if you have questions or non-hateful comments.

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