| Team | Record | BCS Average | BCS Rank | AP Poll | AP Avg | Coaches | Coaches Avg | Computer | Computer Avg |
|---|---|---|---|---|---|---|---|---|---|
| Clemson | 4-0 | 0.9650 | 1 | 1 | 0.9968 | 1 | 0.9982 | 2 | 0.9000 |
| Alabama | 4-0 | 0.9227 | 2 | 2 | 0.9593 | 2 | 0.9588 | 3 | 0.8500 |
| Ohio St | 4-0 | 0.8712 | 3 | 5 | 0.8320 | 6 | 0.8215 | 1 | 0.9600 |
| Georgia | 4-0 | 0.8607 | 4 | 3 | 0.9044 | 3 | 0.9077 | 6 | 0.7700 |
| LSU | 4-0 | 0.8454 | 5 | 4 | 0.8682 | 5 | 0.8480 | 4 | 0.8200 |
| Auburn | 4-0 | 0.7608 | 6 | 7 | 0.7552 | 7 | 0.7372 | 5 | 0.7900 |
| Oklahoma | 3-0 | 0.7543 | 7 | 6 | 0.8288 | 4 | 0.8542 | 9 | 0.5800 |
| Wisconsin | 3-0 | 0.6963 | 8 | 8 | 0.6919 | 9 | 0.6769 | 7 | 0.7200 |
| Florida | 4-0 | 0.6302 | 9 | 9 | 0.6602 | 8 | 0.7003 | 10 | 0.5300 |
| Penn St | 3-0 | 0.5803 | 10 | 12 | 0.5478 | 11 | 0.5932 | 8 | 0.6000 |
I posted this as a comment last week in a thread about analytics, thought it might be useful to post as a full thread this week.
Computer models continue to love Ohio State. Keep in mind, though, that these models generally ignore margin of victory and can only use actual season data (so no preseason projections) which means early in the season they can be quite volatile. This is why the BCS didn't have official rankings until October when it was in place.
Note: I am currently only using 4 of the 6 computer models that the BCS uses (due to 2 of them being unavailable). If we were using all 6, we would discard the high and low scores and average the rest. I am simply averaging the 4 we have to get the computer score.
Sources:
Massey Composite (https://www.masseyratings.com/cf/compare.htm)
Colley Matrix (http://www.colleyrankings.com/foot2019/rankings/rank04.html)
USA Today AP Poll (https://www.usatoday.com/sports/ncaaf/polls/ap-poll/)
Amway Coaches Poll (https://www.usatoday.com/sports/ncaaf/polls/amway-coaches-poll/)
