Ballot Type: Computer
Submitted: Oct. 13, 2024, 8:16 p.m.
Overall Rationale: I have two predictive models - one that predicts how many points a team will score and one that predicts if they will win or lose. I simulate every FBS team against each other in each model and average the ranks based on who wins the most and who scores the most/allows the fewest points. Occasionally if there's a team that doesn't make sense based on the eye test I'll adjust or replace them (see notes for details). Notes for this week: USC, West Virginia, Oklahoma (OU SUCKS! I can say this and be unbiased because it's a computer model) dropped out.
Rank | Team | Reason |
---|---|---|
1 |
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no change - going to keep the model rankings here because yes Oregon did beat them, but it was extremely close and Oregon had home-field advantage. So you could definitely make the argument that OSU is the better team on a neutral site. I don't necessarily agree with that argument though. |
2 |
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no change |
3 |
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no change (see Ohio State reasoning) |
4 |
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+1 |
5 |
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+7 |
6 |
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-2 |
7 |
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no change |
8 |
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-2 |
9 |
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+1 |
10 |
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-1, similar to OSU reasoning. Model puts them above LSU and I realize they just lost head-to-head, but it went to OT at Death Valley so maybe that says something? |
11 |
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-3 |
12 |
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+5 |
13 |
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-2 |
14 |
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no change |
15 |
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+1 |
16 |
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-3 |
17 |
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+6 |
18 |
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+6 |
19 |
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-1 |
20 |
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+1 |
21 |
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+1 |
22 |
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-7, again going with the model but for real, giving up 40 to Iowa should make you automatically drop out. |
23 |
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+13 |
24 |
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+27 |
25 |
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+1, but my Michigan friends disagree with this and insist they should be unranked |
Teams Ranked:
Rank | Team | Unusualness |
---|---|---|
1 |
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0.60 |
2 |
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0.00 |
3 |
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-0.03 |
4 |
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0.18 |
5 |
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0.85 |
6 |
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-0.10 |
7 |
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0.84 |
8 |
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0.00 |
9 |
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0.33 |
10 |
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1.88 |
11 |
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0.00 |
12 |
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12.76 |
13 |
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-1.16 |
14 |
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-1.24 |
15 |
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10.22 |
16 |
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0.00 |
17 |
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-1.11 |
18 |
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0.00 |
19 |
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-0.71 |
20 |
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0.00 |
21 |
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0.00 |
22 |
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3.25 |
23 |
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1.91 |
24 |
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1.21 |
25 |
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0.00 |
Omissions:
Team | Unusualness |
---|---|
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1.07 |
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1.73 |
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0.99 |
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0.17 |
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0.43 |
Total Score: 42.75