Talisman Red's NFL Computer Ratings


Welcome to 2025! This is my rough attempt at a computer rating that can, among other things, come somewhat close to predicting final game scores. Predictions for upcoming games are given below. To determine a hypothetical margin for any two teams, use the Points column (just subtract) and add in home field advantage (consistently about 2.5 points).

New in 2025: a slightly revised prediction formula that, I hope, will be slightly better. Let's see if it slightly works.

The Rating describes team performance based on games played to date. The BCS column describes a rating like the old college football system that only accounted for wins, losses, and strength of schedule. It's pretty meaningless in the NFL, but still a part of my output since I use this code in lots of places.

I wouldn't rely too much on early-season results, which are based almost entirely on last year's games and preseason games. Wait until 3-4 weeks into the season, at least.

Ratings last updated 28-Oct-2025 08:30 EST Rank Team W L T Rating Points BCS 1 Detroit 6 1 0 3.27 60.34 2 2 Philadelphia 6 2 0 3.00 58.06 1 3 Denver 6 2 0 2.53 56.34 3 4 LA Rams 5 2 0 2.06 54.39 4 5 Buffalo 5 2 0 2.03 56.27 8 6 Baltimore 2 5 0 2.03 58.29 14 7 Indianapolis 7 1 0 1.82 53.60 5 8 Green Bay 4 2 1 1.81 54.54 6 9 Tampa Bay 6 2 0 1.47 53.96 9 10 Seattle 5 2 0 1.36 52.46 7 Rank Team W L T Rating Points BCS 11 LA Chargers 5 3 0 1.34 54.40 13 12 Kansas City 5 3 0 1.31 54.13 12 13 Houston 3 4 0 1.09 54.97 17 14 Pittsburgh 4 3 0 0.29 50.38 16 15 New England 6 2 0 0.22 48.14 11 16 San Francisco 5 3 0 0.20 47.92 10 17 Minnesota 3 4 0 0.11 50.54 18 18 Chicago 4 3 0 0.06 48.48 15 19 Miami 2 6 0 -0.37 50.52 20 20 Arizona 2 5 0 -0.55 50.02 22 Rank Team W L T Rating Points BCS 21 Cincinnati 3 5 0 -0.64 48.36 19 22 Washington 3 5 0 -1.06 48.17 25 23 Cleveland 2 6 0 -1.38 45.44 21 24 Jacksonville 4 3 0 -1.42 45.51 23 25 Dallas 3 4 1 -1.54 44.88 24 26 NY Giants 2 6 0 -1.71 45.66 26 27 Atlanta 3 4 0 -2.33 44.19 28 28 NY Jets 1 7 0 -2.44 45.85 31 29 Carolina 4 4 0 -2.81 40.46 27 30 Las Vegas 2 5 0 -2.93 42.27 30 31 Tennessee 1 7 0 -3.07 40.79 29 32 New Orleans 1 7 0 -3.75 40.68 32

Teams are sorted by computer ranking (in parentheses), not necessarily by division record. Playoff games between division teams end up getting counted here, too.


NFL Computer Ratings (Last updated 28-Oct-2025 08:30 EST) --- AFC East CW CL W L Rating Rank Points NCWNCL Non-Conf Sched 1 Buffalo 2 1 5 2 2.03 ( 5) 56.27 3 1 -1.72 ( 31) 2 New England 2 0 6 2 0.22 ( 15) 48.14 4 2 -2.27 ( 32) 3 Miami 1 2 2 6 -0.37 ( 19) 50.52 1 4 -0.67 ( 26) 4 NY Jets 0 2 1 7 -2.44 ( 28) 45.85 1 5 -0.12 ( 18) --- AFC North CW CL W L Rating Rank Points NCWNCL Non-Conf Sched 1 Baltimore 1 0 2 5 2.03 ( 6) 58.29 1 5 1.63 ( 1) 2 Pittsburgh 1 1 4 3 0.29 ( 14) 50.38 3 2 0.21 ( 15) 3 Cincinnati 2 0 3 5 -0.64 ( 21) 48.36 1 5 0.64 ( 7) 4 Cleveland 0 3 2 6 -1.38 ( 23) 45.44 2 3 1.01 ( 5) --- AFC South CW CL W L Rating Rank Points NCWNCL Non-Conf Sched 1 Indianapolis 2 0 7 1 1.82 ( 7) 53.60 5 1 0.35 ( 11) 2 Houston 1 1 3 4 1.09 ( 13) 54.97 2 3 1.42 ( 3) 3 Jacksonville 1 0 4 3 -1.42 ( 24) 45.51 3 3 0.25 ( 13) 4 Tennessee 0 3 1 7 -3.07 ( 31) 40.79 1 4 0.27 ( 12) --- AFC West CW CL W L Rating Rank Points NCWNCL Non-Conf Sched 1 Denver 0 1 6 2 2.53 ( 3) 56.34 6 1 -0.65 ( 25) 2 LA Chargers 3 0 5 3 1.34 ( 11) 54.40 2 3 -0.24 ( 21) 3 Kansas City 1 1 5 3 1.31 ( 12) 54.13 4 2 0.68 ( 6) 4 Las Vegas 0 2 2 5 -2.93 ( 30) 42.27 2 3 -0.41 ( 22) --- NFC East CW CL W L Rating Rank Points NCWNCL Non-Conf Sched 1 Philadelphia 2 1 6 2 3.00 ( 2) 58.06 4 1 1.50 ( 2) 2 Washington 1 1 3 5 -1.06 ( 22) 48.17 2 4 -0.12 ( 19) 3 Dallas 2 1 3 4 -1.54 ( 25) 44.88 1 3 -0.17 ( 20) 4 NY Giants 1 3 2 6 -1.71 ( 26) 45.66 1 3 0.36 ( 10) --- NFC North CW CL W L Rating Rank Points NCWNCL Non-Conf Sched 1 Detroit 2 0 6 1 3.27 ( 1) 60.34 4 1 0.56 ( 9) 2 Green Bay 0 1 4 2 1.81 ( 8) 54.54 4 1 -0.81 ( 27) 3 Minnesota 1 0 3 4 0.11 ( 17) 50.54 2 4 0.05 ( 17) 4 Chicago 0 2 4 3 0.06 ( 18) 48.48 4 1 -1.45 ( 30) --- NFC South CW CL W L Rating Rank Points NCWNCL Non-Conf Sched 1 Tampa Bay 2 0 6 2 1.47 ( 9) 53.96 4 2 1.08 ( 4) 2 Atlanta 0 2 3 4 -2.33 ( 27) 44.19 3 2 0.18 ( 16) 3 Carolina 1 0 4 4 -2.81 ( 29) 40.46 3 4 -0.58 ( 24) 4 New Orleans 0 1 1 7 -3.75 ( 32) 40.68 1 6 0.23 ( 14) --- NFC West CW CL W L Rating Rank Points NCWNCL Non-Conf Sched 1 LA Rams 0 1 5 2 2.06 ( 4) 54.39 5 1 0.58 ( 8) 2 Seattle 1 1 5 2 1.36 ( 10) 52.46 4 1 -0.46 ( 23) 3 San Francisco 3 0 5 3 0.20 ( 16) 47.92 2 3 -0.99 ( 28) 4 Arizona 0 2 2 5 -0.55 ( 20) 50.02 2 3 -1.20 ( 29)

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


Rank Conference Mean Rating ---- ------------------------- ----------- 1 NFC North 1.31 2 NFC West 0.77 3 AFC West 0.56 4 AFC North 0.07 5 AFC East -0.14 6 NFC East -0.33 7 AFC South -0.39 8 NFC South -1.85

These predictions, where needed, already account for home advantage. Neutral site games (London, etc.) should be obvious, if I've programmed them correctly.
PREDICTIONS FOR UPCOMING GAMES Date Away Team Home Team Total Prediction ----------- -------------------- -------------------- ----- -------------- 30-Oct-2025 Baltimore Miami 56.7 AWAY by -5.35 02-Nov-2025 Chicago Cincinnati 61.1 HOME by 2.30 02-Nov-2025 Minnesota Detroit 52.8 HOME by 12.22 02-Nov-2025 Carolina Green Bay 40.9 HOME by 16.50 02-Nov-2025 Denver Houston 34.9 HOME by 1.04 02-Nov-2025 Atlanta New England 44.7 HOME by 6.37 02-Nov-2025 San Francisco NY Giants 41.9 HOME by 0.16 02-Nov-2025 Indianapolis Pittsburgh 46.0 AWAY by -0.81 02-Nov-2025 LA Chargers Tennessee 41.7 AWAY by -11.19 02-Nov-2025 Jacksonville Las Vegas 34.5 AWAY by -0.82 02-Nov-2025 New Orleans LA Rams 41.7 HOME by 16.12 02-Nov-2025 Kansas City Buffalo 51.4 HOME by 4.56 02-Nov-2025 Seattle Washington 44.9 AWAY by -1.87 03-Nov-2025 Arizona Dallas 45.9 AWAY by -2.72 06-Nov-2025 Las Vegas Denver 41.0 HOME by 16.49 09-Nov-2025 Atlanta Indianapolis 44.6 Indi by 9.42 09-Nov-2025 New Orleans Carolina 43.0 HOME by 2.19 09-Nov-2025 NY Giants Chicago 42.1 HOME by 5.23 09-Nov-2025 Jacksonville Houston 31.1 HOME by 11.88 09-Nov-2025 Buffalo Miami 56.1 AWAY by -3.33 09-Nov-2025 Baltimore Minnesota 50.6 AWAY by -5.34 09-Nov-2025 Cleveland NY Jets 37.3 HOME by 2.83 09-Nov-2025 New England Tampa Bay 46.5 HOME by 8.24 09-Nov-2025 Arizona Seattle 43.2 HOME by 4.85 09-Nov-2025 LA Rams San Francisco 40.2 AWAY by -4.06 09-Nov-2025 Detroit Washington 51.3 AWAY by -9.76 09-Nov-2025 Pittsburgh LA Chargers 51.3 HOME by 6.44 10-Nov-2025 Philadelphia Green Bay 43.0 AWAY by -1.10 13-Nov-2025 NY Jets New England 52.8 HOME by 4.71

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 NFL in 2023-24, my system predicted 62.8% of game winners correct. By comparison, the ESPN FPI (yep, they run it for pro too) got 64.4%. That is a difference, over an entire season, of just four more games correct.
  • In college football in 2023, 71.5% correct
  • In college basketball in 2023-24, 70.4% correct

Although the system is comparable to other computer systems (FPI, Sagarin, and several others), the midweek/updated Vegas line predicted 66.3% of last year's NFL winners correctly. You just cannot beat a human touch!

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.

shopify analytics ecommerce