OK, with the various conference championship games and bowl season coming up, and all the discussion about who deserves what, I thought I'd see if I could come up with a formulation for ranking teams. Below is what I finally settled on, but I'm sure you guys can help me tweak it if needed. I do not pretend that the assumptions I made (which I'll list in a second) are the "right" one, nor do I think that what I've come up with settles any particular issue... For what it's worth, however, I think it's interesting... and at least very near the top, and very near the bottom accurate.... Now then, the assumptions:
I went to the NCAA site and retrieved every team's SOS.
Also from the NCAA site, I obtained stat rankings for 27 different categories.
I then weighted these stat points as against each team's SOS.
Adding adjusted stat points to adjusted wins, and then subtracting adjusted losses revealed the following (Next Post):
I went to the NCAA site and retrieved every team's SOS.
Also from the NCAA site, I obtained stat rankings for 27 different categories.
I won't list each now, but I took data from all three phases of the game, Offense, Defense and Special Teams. Ranked teams in order from best to worst in each.
From there, I added up the total of their ranks and then divided by 27 to get their average rank per category and called the results "stat points."
I then weighted these stat points as against each team's SOS.
To weight them, what I did is this - the team with the #1 SOS, I arbitrarily determined that that team should get the full benefit of their stat points, and each team in succession thereafter would only get the benefit of some percentage of their points according to SOS rank. I had to come up with a multiplier, and after attempting several, I arbitrarily settled on .0085 (Doing so kept the range between 1 and 2 (actually, 2.003) so that the No1 SOS team was 1.0000, No.2 was 1.0085, No. 3 was 1.017 and so on...)
Next, I took each team's wins and weighted them as well as against the SOS..
Thus 11 wins v. the #1 schedule (Oklahoma) is more impressive than 12 against the number 112 schedule (Ball State) I arbitrarily used the same multiplier mentioned above (.0085)
I then likewise weighted losses.
Adding adjusted stat points to adjusted wins, and then subtracting adjusted losses revealed the following (Next Post):
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