Not sure if this will sway your judgment, but per the definitions that I copied from Sagarin, the Rating metric is actually a weighted average of all three metrics. More weight is placed on the two models that are better predictors.
I still think for simplicity, the Rating is probably best to use, unless we wanted to come up with our own metric that uses an average of just the two measures deemed to be better predictors. That just seems like a lot of unnecessary complication though.
I'm confused. Look at Oregon. Their RATING is higher than any of the other three methods? How does that work?
I have the honor to be Your Obedient Servant - B.Aud
We all live in stories... It seems to me that a definition of any living vibrant society is that you constantly question those stories... The argument itself is freedom. It's not that you come to a conclusion about it. Through that argument you change your mind sometimes... That's how societies grow. When you can't retell for yourself the stories of your life then you live in a prison... Somebody else controls the story. - S. Rushdie
And here we go. Four touchdown favorite going into Weber State. Closest game prediction is UNI by a TD. MVFC top three, four of top six, and six of top twelve. MVFC also a TD favorite over the next best conference.
Sagarin's Week 2 Predictions
Sagarin FCS Predictor Top-25Code:Sagarin Predict Result Diff 40 North Dakota State 76.45 70 Iowa State 68.39 +4.90 +20.00 +15.10 197 Weber State 44.78 +28.51 218 Incarnate Word 39.27 +40.34 103 Montana 62.13 +17.48 177 Western Illinois 49.09 +24.20 90 Southern Illinois 64.87 +14.74 188 Indiana State 46.54 +33.07 156 South Dakota 53.27 +20.02 79 South Dakota State 67.08 +12.53 82 Northern Iowa 66.57 +6.72 133 Missouri State 57.30 +15.99 107 Youngstown State 62.25 +17.36 108 Illinois State 62.23 Total Diff: +15.10 Home Field 3.16
Sagarin Predictor Top-5 FCS ConferencesCode:1 40 North Dakota State 2 79 South Dakota State 3 82 Northern Iowa 4 84 Eastern Washington 5 89 New Hampshire 6 90 Southern Illinois 7 94 Villanova 8 99 Jacksonville State 9 103 SE Louisiana 10 106 McNeese State 11 107 Youngstown State 12 108 Illinois State 13 109 Chattanooga 14 110 Montana 15 116 Tennessee State 16 119 Princeton 17 121 Richmond 18 123 Eastern Illinois 19 127 William & Mary 20 128 Harvard 21 130 Montana State 22 132 Coastal Carolina 23 133 Missouri State 24 134 Sam Houston State 25 136 Central Arkansas
Code:1. MVFC 60.86 2. Colonial 53.62 3. Ohio Valley 53.22 4. Big Sky 52.26 5. Southland 50.29
I have the honor to be Your Obedient Servant - B.Aud
We all live in stories... It seems to me that a definition of any living vibrant society is that you constantly question those stories... The argument itself is freedom. It's not that you come to a conclusion about it. Through that argument you change your mind sometimes... That's how societies grow. When you can't retell for yourself the stories of your life then you live in a prison... Somebody else controls the story. - S. Rushdie
Yeah. Never seen anything close to that. Normally a big gap is three or four points. I think the overall suckage of FCS vs. FBS in week 1 is part of it. Only the MVFC as a conference really stood up to their FBS foes.
Oh, and that puts the MVFC above C-USA, MAC and Sun Belt.
Based on Sagarin's RATING numbers (3.16 home field) and a 2.61 pt kicker for coming off a bye week, here's the outlook for the remainder of the regular season:
Weber State 98.2% (+0.1% from last week)
Incarnate Word 99.8% (+0.1%)
Montana 90.1% (+1.9%)
Western Illinois 97.5% (+0.7%)
Southern Illinois 86.2% (-3.5%)
Indiana State 99.2% (+0.1%)
South Dakota 93.0% (+0.6%)
South Dakota State 82.3% (+3.5%)
Northern Iowa 69.1% (+1.6%)
Missouri State 88.1% (+0.8%)
Youngstown State 90.0% (+2.2%)
12-0 30.9% (+15.4% from last week)
11-1 40.4% (+5.8%)
10-2 21.4% (-9.3%)
9-3 6.1% (-8.3%)
8-4 1.0% (-3.0%)
7-5 0.1% (-0.6%)
6-6 0.01% (-0.1%)
5-7 0.0003%
4-8 0.00001%
3-9 0.0000001%
2-10 0.0000000003%
1-11 0.0000000000003%
Assumes a normal distribution of outcomes w/ Sagarin's projected spread as the mean and a standard deviation of 13.86. In round numbers this means that if the spread is 14 the model predicts that roughly 2/3 of the outcomes will be between a tie and a 28 point victory. Half of the remaining outcomes or about 1/6 of all the outcomes would be a victory by more than 28 and there would be roughly a 1 in 6 chance that the team favored by 14 would lose.
I have the honor to be Your Obedient Servant - B.Aud
We all live in stories... It seems to me that a definition of any living vibrant society is that you constantly question those stories... The argument itself is freedom. It's not that you come to a conclusion about it. Through that argument you change your mind sometimes... That's how societies grow. When you can't retell for yourself the stories of your life then you live in a prison... Somebody else controls the story. - S. Rushdie
I just took a closer look. I was assuming that the RATING was a weighted average, but the description states that it is a synthesis of the three different methods. I'd sure be interested to see how that formula works. Probably not just a simple weighted average. Or maybe there really is an error in his figures.
I ran a quick regression analysis to see if I could identify any patterns or consistencies between the three independent measures and the RATING. I may have missed something, but I wasn't able to identify anything. So my guess is that there's some additional variable(s) in the synthesis of the measures.