You mean the computer polls that currently have Utah ahead of Florida and USC and Boise State also ahead of USC? The same computers that might not put Florida in the national title game if they beat Alabama? Those computers are useless as far as I'm concerned. If Florida wins on Saturday, the human polls will likely put them in the top 2 and the human polls also have USC ranked ahead of Utah and Boise State. While I don't always agree with the human polls, they're much more accurate right now than the computers are. I think you are misreading what I wrote. The BCS currently limits computer pulls from being able to effectively determine how good teams are, because computer ratings can only make use of W-L record and quality of opponents. For example, Jeff Sagarin runs 3 ratings. One is done completely by W-L only (his BCS one). It is also his least predictive one. That has the following top 10: 1. Oklahoma 2. Texas 3. Texas Tech 4. Alabama 5. Utah 6. Florida 7. Boise State 8. USC 9. TCU 10. Penn State A second rating looks only at the score margin, and not at all at W-L. This is the best predictor of future games. That one's top 10: 1. USC 2. Florida 3. Oklahoma 4. Texas 5. Penn State 6. Alabama 7. Texas Tech 8. Ohio State 9. Missouri 10. TCU His third rating is 50% W-L, 50% score margin. That one looks like: 1. Oklahoma 2. Texas 3. Florida 4. USC 5. Texas Tech 6. Alabama 7. Penn State 8. Utah 9. TCU 10. Ohio State Which is most accurate to determine how deserving a team is to go to the BCS championship? Hard to say for sure, since any computer rating is going to deal with somewhat of a sample size issue, and schedule strength (a large determining factor in any rating) is largely uncontrollable in at least 8 of 12 games a team plays. However, the most accurate predictor of future performance is based purely on point differential. Of course, there could also just be a situation where the best two teams in the country are from the same conference.