BYU slips to 13th
 

in the aggregate. Utah 7th, TCU 18th. This seems much more accurate based on who all have played thus far. I know there's a precedent for what happened to TCU in the polls, but there are a lot of top 25 teams who would've taken the same woodshed beating to Oklahoma.

http://www.mratings.com/cf/compare.htm

Cue Waters.

How can a computer rank Georgia #1 after their woodshed beating by Alabama?

I'm seeing Oklahoma no. 1. Maybe one of us doesn't know how to read it. There are a lot of rows of numbers there.

It's a chart, SU. Look at Georgia, then look at the first column next to Georgia's name. That is the ranking given Georgia by the model listed at the top of the column (ranked Georgia first).

there is a big difference between 13th and 29th. Huge difference.

Wake me in November when this might actually matter.

:D

I guess it's interesting, but only something to get excited about if you're a Ute fan, so I can understand SU's motives here.

Georgia has the #1 SOS.

1.2 What is the basic algorithm for calculating Real-time RPIs? A team's RPI is a sum of three values: 25% of the team's winning percentage, 50% of its opponents' average winning percentage (strength of schedule), and 25% of its opponents' opponents' average winning percentage (opponents' strength of schedule). Only results against teams which are in NCAA Division I are counted in all of these winning percentages.

Indy's right. It doesn't matter right now.

Humans are ranking teams based on other factors than just the game data, i.e. preseason or prior season bias. That makes sense right now because the sample size is not big enough. Later in the season it's not fair or accurate to do so. So computer rankings become better than human rankings after they have enough data. But right now computer rankings look funny.

btw, MW, at that comparison page BYU's ranking ranges from #3 to #56. I would bet that any computer model that ranks BYU higher than about #10 right now has bias from preseason weights. I'm not saying that's not accurate, it just seems wrong to me to override actual game data with preseason bias--makes the computers more subjective like human voters.