Ballot Type: Computer
Submitted: Oct. 7, 2019, 9:48 p.m.
Overall Rationale: Probabilistic model that uses Bayesian inference on a team's results to assign a probability of a team's rating given all their results to date. No information outside of the current season is used. Only scores of games and home/away locations are used. No games against FCS opponents are counted. It is seeded from 0 each week and then iterated until ratings stabilize, so past weeks' results are reevaluated from the perspective of the current week.
Rank | Team | Reason |
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1 |
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2 |
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3 |
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4 |
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5 |
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6 |
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7 |
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8 |
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9 |
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10 |
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11 |
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12 |
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13 |
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14 |
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15 |
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16 |
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17 |
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18 |
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19 |
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20 |
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21 |
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22 |
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23 |
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24 |
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25 |
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Teams Ranked:
Rank | Team | Unusualness |
---|---|---|
1 |
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0.17 |
2 |
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0.00 |
3 |
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1.24 |
4 |
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0.00 |
5 |
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0.00 |
6 |
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0.71 |
7 |
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1.51 |
8 |
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16.80 |
9 |
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0.28 |
10 |
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-1.93 |
11 |
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0.00 |
12 |
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8.78 |
13 |
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-3.15 |
14 |
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7.64 |
15 |
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-0.59 |
16 |
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8.97 |
17 |
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0.00 |
18 |
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2.06 |
19 |
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6.04 |
20 |
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0.00 |
21 |
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0.00 |
22 |
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3.15 |
23 |
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0.00 |
24 |
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-5.19 |
25 |
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0.22 |
Omissions:
Team | Unusualness |
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2.62 |
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1.81 |
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1.53 |
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1.19 |
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0.75 |
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0.70 |
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0.11 |
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0.20 |
Total Score: 77.34