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.

On the Predictions tab, 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.)

Ratings

Ratings last updated 13-May-2026 08 AM ET

Rank Team                   W  L OT   Rating   Points  BCS
   1 Colorado              58 22 10     4.35    51.13    1
   2 Carolina              55 25 10     3.64    50.84    2
   3 Buffalo               51 35  6     2.64    50.67    3
   4 Montreal              50 34  9     2.31    50.58    4
   5 Tampa Bay             49 34  6     2.26    50.62    5
   6 Dallas                45 32 11     1.69    50.45    6
   7 Minnesota             47 35 10     1.67    50.45    7
   8 Washington            41 33  8     1.33    50.33    8
   9 Ottawa                41 40  5     1.14    50.40   10
  10 Pittsburgh            40 35 13     1.01    50.35   11

Rank Team                   W  L OT   Rating   Points  BCS
  11 Boston                43 38  7     0.95    50.27    9
  12 Las Vegas             44 39 10     0.80    50.26   12
  13 Utah                  45 42  1     0.39    50.16   14
  14 Philadelphia          37 41 14     0.13    50.11   18
  15 Edmonton              43 41  4    -0.06    50.03   19
  16 St Louis              36 41  5    -0.16    49.95   17
  17 NY Islanders          39 34  9    -0.21    49.82   13
  18 Detroit               39 37  6    -0.34    49.85   16
  19 New Jersey            38 39  5    -0.34    49.79   15
  20 Columbus              33 40 10    -0.40    50.01   24

Rank Team                   W  L OT   Rating   Points  BCS
  21 Nashville             33 42  7    -0.73    49.83   22
  22 Florida               35 40  7    -0.81    49.72   20
  23 Anaheim               41 44  8    -0.83    49.73   21
  24 NY Rangers            31 47  4    -1.07    49.93   27
  25 Los Angeles           30 42 15    -1.30    49.70   25
  26 San Jose              37 41  4    -1.50    49.43   23
  27 Winnipeg              33 43  6    -1.60    49.56   26
  28 Seattle               32 42  8    -2.07    49.46   28
  29 Toronto               31 46  5    -2.29    49.42   30
  30 Calgary               30 45  7    -2.38    49.33   29
  31 Chicago               26 48  8    -3.32    49.15   31
  32 Vancouver             19 55  8    -4.91    48.70   32


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.


NHL Computer Ratings (Last updated 13-May-2026 08 AM ET) --- East CW CL OT W L OT Rating Rank Points NCWNCLNCT Non-Conf Sched 1 Buffalo 21 14 1 51 35 6 2.64 ( 3) 50.67 30 21 5 -0.14 ( 19) 2 Montreal 20 14 3 50 34 9 2.31 ( 4) 50.58 30 20 6 -0.14 ( 21) 3 Tampa Bay 17 14 2 49 34 6 2.26 ( 5) 50.62 32 20 4 -0.14 ( 22) 4 Ottawa 12 14 0 41 40 5 1.14 ( 9) 50.40 29 26 5 0.12 ( 9) 5 Boston 12 17 3 43 38 7 0.95 ( 11) 50.27 31 21 4 -0.14 ( 24) 6 Detroit 13 12 1 39 37 6 -0.34 ( 18) 49.85 26 25 5 -0.14 ( 18) 7 Florida 12 12 2 35 40 7 -0.81 ( 22) 49.72 23 28 5 -0.14 ( 20) 8 Toronto 7 17 2 31 46 5 -2.29 ( 29) 49.42 24 29 3 -0.14 ( 23) --- North CW CL OT W L OT Rating Rank Points NCWNCLNCT Non-Conf Sched 1 Carolina 20 5 5 55 25 10 3.64 ( 2) 50.84 35 20 5 0.04 ( 10) 2 Washington 17 7 2 41 33 8 1.33 ( 8) 50.33 24 26 6 -0.04 ( 11) 3 Pittsburgh 15 10 7 40 35 13 1.01 ( 10) 50.35 25 25 6 -0.04 ( 16) 4 Philadelphia 11 16 9 37 41 14 0.13 ( 14) 50.11 26 25 5 -0.04 ( 15) 5 NY Islanders 14 10 2 39 34 9 -0.21 ( 17) 49.82 25 24 7 -0.04 ( 12) 6 New Jersey 5 19 2 38 39 5 -0.34 ( 19) 49.79 33 20 3 -0.04 ( 13) 7 Columbus 8 14 4 33 40 10 -0.40 ( 20) 50.01 25 26 6 -0.06 ( 17) 8 NY Rangers 7 16 3 31 47 4 -1.07 ( 24) 49.93 24 31 1 -0.04 ( 14) --- Central CW CL OT W L OT Rating Rank Points NCWNCLNCT Non-Conf Sched 1 Colorado 17 7 6 58 22 10 4.35 ( 1) 51.13 41 15 4 -0.37 ( 32) 2 Dallas 16 11 5 45 32 11 1.69 ( 6) 50.45 29 21 6 -0.30 ( 30) 3 Minnesota 16 16 4 47 35 10 1.67 ( 7) 50.45 31 19 6 -0.30 ( 27) 4 Utah 13 13 0 45 42 1 0.39 ( 13) 50.16 32 29 1 -0.19 ( 25) 5 St Louis 10 16 0 36 41 5 -0.16 ( 16) 49.95 26 25 5 -0.30 ( 26) 6 Nashville 10 14 2 33 42 7 -0.73 ( 21) 49.83 23 28 5 -0.30 ( 28) 7 Winnipeg 12 13 1 33 43 6 -1.60 ( 27) 49.56 21 30 5 -0.30 ( 29) 8 Chicago 10 14 2 26 48 8 -3.32 ( 31) 49.15 16 34 6 -0.30 ( 31) --- West CW CL OT W L OT Rating Rank Points NCWNCLNCT Non-Conf Sched 1 Las Vegas 18 11 2 44 39 10 0.80 ( 12) 50.26 26 28 8 0.47 ( 8) 2 Edmonton 18 12 2 43 41 4 -0.06 ( 15) 50.03 25 29 2 0.48 ( 3) 3 Anaheim 18 16 3 41 44 8 -0.83 ( 23) 49.73 23 28 5 0.48 ( 5) 4 Los Angeles 8 12 6 30 42 15 -1.30 ( 25) 49.70 22 30 9 0.72 ( 1) 5 San Jose 9 15 2 37 41 4 -1.50 ( 26) 49.43 28 26 2 0.48 ( 6) 6 Seattle 14 9 3 32 42 8 -2.07 ( 28) 49.46 18 33 5 0.48 ( 4) 7 Calgary 12 11 3 30 45 7 -2.38 ( 30) 49.33 18 34 4 0.48 ( 2) 8 Vancouver 6 17 3 19 55 8 -4.91 ( 32) 48.70 13 38 5 0.48 ( 7)

Division Rankings


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


Rank Conference Mean Rating ---- ------------------------- ----------- 1 East 0.73 2 North 0.51 3 Central 0.29 4 West -1.53

Predictions

PREDICTIONS FOR UPCOMING GAMES Date Away Team Home Team Total Prediction ----------- -------------------- -------------------- ----- -------------- 13-May-2026 Minnesota Colorado 6.8 HOME by 0.81 14-May-2026 Las Vegas Anaheim 6.7 AWAY by -0.40 14-May-2026 Montreal Buffalo 6.5 HOME by 0.21 15-May-2026 Colorado Minnesota 5.5 AWAY by -0.56 16-May-2026 Anaheim Las Vegas 6.6 HOME by 0.65 16-May-2026 Buffalo Montreal 6.3 HOME by 0.04 17-May-2026 Minnesota Colorado 6.8 HOME by 0.81

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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