| FTBL Computer Polls

Argo

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Sagarin
1 Southern California
2 Oklahoma
3 Alabama
4 Penn State
5 Texas

Colley
1 Alabama
2 Vanderbilt
3 Missouri
4 Texas
5 Utah

Anderson/Hester
1 Alabama
2 Missouri
3 Vanderbilt
4 Texas
5 Boise State
 
Argo said:
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Sagarin
1 Southern California
2 Oklahoma
3 Alabama
4 Penn State
5 Texas

Colley
1 Alabama
2 Vanderbilt
3 Missouri
4 Texas
5 Utah

Anderson/Hester
1 Alabama
2 Missouri
3 Vanderbilt
4 Texas
5 Boise State

Anderson/Hester is early this year...they didn't release their rankings until the middle of October last year.

Sagarin should be updated today and I don't understand what the deal is with Massey...his hasn't been updated since in two weeks. He had Bama at #1 the 27th of September.

So,

Massey - #1 (not updated, but Bama looks to stay)
Anderson/Hester - #1
Colley - #1

The lowest and highest are tossed out. #4 in Coaches, #3 in Harris.

Season ends today and we face OU in the BCSNC.
 
Massey is up. Stated games through 4OCT accounted for, and Bama showing 6-0 (as or 6OCT)

1. VANDY good for them
2. BAMA
3. MISSOU
4. UTAH the school that made Urban Meyers apparently
5. OKLAHOMA
6. Northwestern
7. Penn State
8. TEXAS
9. VA TECH
10.GEORGIA TECH
 
As of right now the only factor that is missing from the BCS formula is the last computer poll, which is due out on the 19th.

When all in, the highest and the lowest computer polls will be thrown out and the middle three averaged to give a single "computer ranking". This ranking is then weighted equally with both the Coach's Poll and the Harris Interactive Poll. The average of the three is a team's score, which is then used to rank the teams -- we know all this.

If today we applied the same procedures to what we have, this is how the top three would be ranked.

BCS Rank Team Avg. Ranking
#1 Oklahoma 2.500
#2 Alabama 2.833
#3 Missouri 3.000


This could change with the last of the computer entries. It appears that we have the most to lose with regards to that last poll. Statistically speaking, even in the best case scenario, we will not increase the final calculation enough to matter. In other words, we only gain if the others drop.
 
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