Comparing the BCS Computers to the Schmidt Computer

In my last entry, I pointed out a flaw in the BCS computers being that they aren't allowed to use the scores or margin of victory (MOV) in their algorithms.  I also pointed out that my algorithm does take it into account, but does so in a way that doesn't reward running up the score against strong opponents but allows it against weak opponents in order to not punish a team too much for not playing a strong opponent every game.

Since I've gone out and made that statement, lets compare my rankings to the BCS computer average.  The table below lists the two with the difference, red where the BCS is too high and blue where it is too low.

Team	BCS Rank	Schmidt Computer	Difference
Oklahoma	1	6	5
Oregon	8	1	7
Boise State	7	3	4
Auburn	3	10	7
TCU	5	2	3
LSU	2	18	16
Michigan State	4	7	3
Alabama	12	15	3
Utah	11	8	3
Ohio State	14	14	0
Missouri	6	5	1
Stanford	10	4	6
Wisconsin	16	20	4
Oklahoma State	9	22	13
Iowa	17	9	8
Nebraska	20	11	9
Florida State	13	17	4
Arizona	15	16	1
Texas	18	28	10
West Virginia	22	49	27
South Carolina	23	19	4
Kansas State	19	36	17
Arkansas	28	31	3
Mississippi State	21	29	8
Virginia Tech	28	24	4

What do you think?  Which set of rankings is more realistic?

To see if we can determine which is more accurate, I'll keep track of which does better picking winners between BCS top-25 games the rest of the year.