Iowa #21 in Sagarin, #31 in his BCS

When you lose to the only decent team you've played, it's not going to look like glitter and cake that first poll...oh well, there's still work to be done anyway.
 
How is a 3 and 2 cal team ranked 9th? also a va tech team ranked 18th who lost to a fcs school. and a good fbs school team. also a 3-3 arizona state team all ranked above iowa?
 
Who cares...if we take care of business, we could be 100th in his rankings and still go to the rose bowl
 
I'm not worried about the BCS rankings. It's kinda like KF says, if you take care of what you are supposed to take care of, those thinks usually work out in the end.
 
Delaware? A great example of why computer polls don't work. I am sure Sagarin has quite a bit of money... and I bet he swears by his program. I wonder if he would bet Delaware would beat Texas head to head as his ratings predict.

Arizona State at 3-3 rated so high because of SoS, but they are 0-3 vs the tough teams they have played. So... I would think you would have to actually WIN one of those to get such high credit!
 
I'd worry if we were a Boise St or some other school who plays nobody the rest of the year.

The fact remains that, even though all of our previous opponents lost yesterday, we have yet to play the best teams on our schedule. Win those games, and SOS and where we're at in the polls currently won't mean anything.
 
How is a 3 and 2 cal team ranked 9th? also a va tech team ranked 18th who lost to a fcs school. and a good fbs school team. also a 3-3 arizona state team all ranked above iowa?

It is the way the formula works. Basically, if Team A has played team C, and team C has played team B, and team A has played team B:

Team B beats C and team A, team C beats team A = rankings of Team B, C, A.

So common opponents matter a ton in his system. VT playing an FCS school and losing doesn't hurt them SOS wise, because that FCS school hasn't lost to any other FBS teams and therefore cannot statistically weigh on the SOS component of his ranking.

Also, his ranking tries to weigh recent losses more heavily than distant past losses: if Team A beats Team B this week, but lost to Team C the first week, and Team B beat Team C the second week, the rankings will go 1)A, 2)C, 3)B because, in his words, teams should not be ranked higher than the team they were beat by this week.

Over a full season, the number of common opponent nodes or related opponent nodes (i.e. Iowa State being a common opponent of Texas Tech and Iowa for example) grows to the point where you can statistically predict how games would go between any two teams in FBS, as well as take into account "who's hot" right now. At the beginning of the season, there is less data so the predictor gets more and more accurate the number of games played. That's why the Sagarin rankings don't mean much until late in the season, when they solidify and are more difficult to change. This early, there will be big swings in the Sagarin rankings as teams and their common opponents meet and win/lose. In one ranking, the margin of victory matters. In the other it doesn't. The two rankings often paint a very different picture of College Football.
 
For example, if you use the Predictor, the top 25 would look like this:
1 Oregon
2 Alabama
3 Stanford
4 Florida State
5 TCU
6 California
7 Boise State
8 Ohio State
9 Nebraska
10 Arizona
11 LSU
12 South Carolina
13 Arizona State
14 Missouri
15 Arkansas
16 UNRANKED IN ELO_CHESS
17 Iowa
18 Oregon State
19 Nevada
20 Virginia Tech
21 Southern California
22 Florida
23 NC State
24 UNRANKED IN ELO_CHESS
25 Auburn

BTW, statistically speaking the predictor is the best way to predict game outcome.
 

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