Over the past few years I have created a straightforward way to rank college football teams. Basically, I wanted a way to combine subjective views towards teams with an objective component. I have tinkered with my formula over the seasons and have what I think is a pretty decent way to compare resumes of different teams. This is NOT a sophisticated algorithm, and should not be treated the same way as Sagarin, KenPom, or other computer rankings found in places like the Massey Ranking Composite. The rankings should also not be used to predict future games; my rankings should be considered a snapshot of how a team’s body of work has been up to this point. Even though it is not the most complicated ranking system ever created, I think its simplicity can be a positive thing.
Basic Idea
I will not go into detail here about how these rankings are calculated, but I will describe the basic concept. Like I mentioned above, these rankings combine subjective and objective features. The subjective component drives the whole process. Every team is placed by me into a bin. There are seven general bins, ranging from -3 to 3. A basic idea of what each bin represents is:
Bin 3: Elite teams, the cream of the crop. Typically the top 6-8 teams in the country. (e.g. Alabama, Oklahoma)
Bin 2: Teams that are “solidly ranked.” Not quite elite, but clearly top 25. (e.g. Louisville, Miami, TCU)
Bin 1: Teams that are “borderline ranked.” You certainly can make a case they are a top 25 team, but certainly can make the case they are not. (e.g. Utah, Oregon, Vanderbilt)
Bin 0: Teams that are “solidly unranked.” Decent teams that have a pulse, but are not considered close to being top 25. (e.g. Minnesota, Arkansas, NC State)
Bin -1: Starting to get a little worse here. Slightly above-average non-Power 5 teams and below average Power-5 teams are often found here. (e.g. Arkansas State, Virginia, SMU)
Bin -2: Bad/average non-Power 5 teams, and REALLY bad Power 5 teams. (e.g. Florida Atlantic, Ball State, Kansas)
Bin -3: Really really bad. There are typically about 10 of these. (e.g. Georgia State, UMass)
If a team seems to be somewhere in between two of these categories, they can be binned as a “0.5”, “1.5”, etc. For example, Washington I would argue is not quite elite yet, but seems to be close enough where a 2.5 bin is warranted.
This is the subjective part of the process. I make the final call which bin a team falls into, but I try to inform myself as much as possible of the consensus of a given team. For example, for a team to be “borderline ranked” (bin 1), they need to at least appear in the “Other Receiving Votes” area of the AP and Coaches polls. I try to make the bins representative of the nationwide media consensus of a given team. Still, there is definitely subjectivity involved.
The objective element of the rankings gives and takes away points from a team depending on the bins of that team’s opponents. For example, beating a team from bin 0 at home by a “non-blowout score” (less than 22 points) rewards that team 0.5 points, and so on. This is the part of the process that I have tinkered with over the years. A team of course loses points for losing a game, depending on the opponent, where the game was played, and whether it was a blowout or not.
So the basic idea of the system is that we have an idea as fans which “bin” a team falls into. Once we determine that, we can get an obective idea of how a team’s resume is depending on the bins of that team’s wins and losses. The final “Score” of the ranking is simply a sum of the bin you are in and the amount of points you have gained/lost from wins and losses. For example, Oklahoma is 2nd in my rankings with 5 points. They are in bin 3, and received 2 points for beating Ohio State on the road by a non-blowout score (OSU is currently in bin 2). Therefore, Oklahoma’s score is 3 + 2 = 5.
Week 3: How is My Method Doing?
Now that we have three weeks worth of games, I figured it would be a good idea to zoom out a bit and evaluate how my rankings method is doing as a whole. I must confess that although I am devoting an entire weekly page to this system, I by no means am claiming this is the no-exceptions best approach to ranking teams. I do think it’s a sensible approach and I’m curious to see how it unfurls as we dive into the conference season. So with that humility in mind, I thought I would dedicate a lot of this week’s post discussing where my rankings diverge from national consensus, and investigating if this makes my rankings bad or insightful.
First things first, I want to reiterate what my rankings are intended to convey. I’ve said this before, but it’s important: my rankings are NOT a measure of who the best teams are. I know that sounds counter-intuitive, but that’s not the point of these rankings. If team A is ranked higher than team B here, that does not mean I am predicting that team A would win against team B; predictions are not the objective here. The goal of this exercise to get a ranking of bodies of work, taking into account the quality of a team’s wins and losses. This is why Clemson is number 1 this week ahead of Alabama and Oklahoma. Yes, Alabama and Oklahoma have one great win each, but Clemson has gone out and beaten two ranked teams, one in a road blowout. Therefore, they are rewarded twice, putting them in first place (by a pretty healthy margin). That is the logic that I’m going for: results matter.
This will result in some head-scratching cases, but I think they fit into the general logic of what I am trying to accomplish. In general, I would say “strange” results are derived from one of two things:
1. Decent teams that lose lots of games against solid but unspectacular teams will be punished, while bad teams that get destroyed by elite teams are let off the hook. My approach gives and takes points depending on the quality of your opponents. So if you’re a team losing close games to average opposition, you’re going to lose a decent amount of points, even if you didn’t look terrible in the process. However, if you play awesome teams and get your socks blown off, you don’t lose as many points, even if you look terrible in the process. Therefore, you may see some decent teams ranked behind some awful ones, especially early in the season. A prototypical example of this phenomenon would be North Carolina and Fresno State. If the Tar Heels and Bulldogs faced off tomorrow, UNC would be a huge favorite and would probably roll. However, you’ll find UNC 87th in my rankings, and Fresno State 86th. Why is Fresno State higher? The Bulldogs are 1-2, but their two losses are beatdowns against Alabama and Washington. UNC is 1-2, but one of their losses is an iffy home loss to Cal (and at home to Louisville). North Carolina is probably a better team, but their resume thus far is simply worse than Fresno State’s. Would Fresno State lose at home to Cal like UNC did? Probably, but we don’t know for sure, and that’s the key point. We know UNC lost to Cal, because it actually happened. This should work its way out as the season goes on and Fresno State starts losing to Mountain West teams, but for now the uneven schedules can yield wonky results. Still, I would argue this fits into the general “results-driven” philosophy I am looking for.
2. Changes in “bins” can lead to large week-to-week changes that can be a little puzzling at first glance. The bins (as described above) generate the whole rankings, so changing them (which happens all the time) can shift all sorts of things. For a detailed example, take a look at Mississippi State and LSU. Coming into the weekend, LSU was in bin 2 and was ranked tied for 8th, while MSU was in bin 0.5 and was ranked 34th. Sounds about right. Note that LSU was ranked quite high because it was still bringing in solid points from its 27-0 clobbering over BYU, who was in bin 0 entering into last week. Well, things didn’t go well for LSU this past Saturday, and they have plummeted all the way down to 41st in this week’s rankings. 41st seems pretty extreme, doesn’t it? After all, they’re still 25th in the AP poll this week and still seem to be somewhat dangerous. Bin changes played a huge role in the fall. LSU went from bin 2 to 1, meaning they not only lost points for the 37-7 loss to MSU, but they also essentially lost a point for being downgraded a bin. On top of that, their quality win, BYU, got smashed 40-6 by Wisconsin for their 3rd straight loss. The Cougars have looked toothless this season, so their bin moved from 0 to -1, erasing the positive points LSU had received from their victory. All in all, changes in bins (as well as the actual result on the field) resulted in a huge drop for LSU. Bin changes can accelerate drops (or rises) in the rankings.
So with that in mind, here are the Week 3 rankings. In the conference descriptions below, I discuss some of the “odd” results from the rankings thus far. Also, if you’re actually reading this and enjoying it, feel free to like it or share it or whatever. It’s a lot more motivating to do these if I know people are reading them!
Rank
Team
Score
Record
Conf
Prev Rank
Rem Sched Rank
1
Clemson
6.75
3-0
(1-0)
T2
64
2
Oklahoma
5
3-0
(0-0)
1
51
3
Alabama
4.5
3-0
(0-0)
T2
51
4
USC
4.25
3-0
(1-0)
T2
56
5
OK State
4
3-0
(0-0)
11
51
6
Georgia
3.5
3-0
(0-0)
6
18
7
Penn State
3.25
3-0
(0-0)
7
39
8
Michigan
3.25
3-0
(0-0)
5
11
T9
Virginia Tech
3
3-0
(0-0)
T8
58
T9
TCU
3
3-0
(0-0)
14
39
11
Ohio State
3
2-1
(1-0)
10
58
12
Mississippi St
3
3-0
(1-0)
34
39
13
Washington
2.5
3-0
(0-0)
12
37
T14
Wisconsin
2.5
3-0
(0-0)
T15
56
T14
Washington St
2.5
3-0
(1-0)
21
18
16
San Diego St
2.25
3-0
(0-0)
T35
102
17
Miami
2
1-0
(0-0)
T15
48
T18
Auburn
2
2-1
(0-0)
T18
31
T18
Florida State
2
0-1
(0-0)
T18
31
20
Louisville
2
2-1
(1-1)
13
68
21
Maryland
2
2-0
(0-0)
T22
6
22
Vanderbilt
1.75
3-0
(0-0)
T35
31
23
S Florida
1.5
3-0
(0-0)
25
79
24
Florida
1.5
1-1
(1-0)
31
48
25
Memphis
1.5
2-0
(0-0)
T44
95
T26
Duke
1.5
3-0
(0-0)
30
48
T26
Kentucky
1.5
3-0
(1-0)
T39
31
28
Oregon
1.25
3-0
(0-0)
T26
39
T29
Utah
1
3-0
(0-0)
T22
1
T29
Colorado
1
3-0
(0-0)
29
18
31
California
0.75
3-0
(0-0)
T35
3
32
West Virginia
0.5
2-1
(0-0)
33
31
T33
Wake Forest
0.5
3-0
(1-0)
32
11
T33
Iowa
0.5
3-0
(0-0)
T35
18
T35
Texas Tech
0.25
2-0
(0-0)
T47
23
T35
Toledo
0.25
3-0
(0-0)
T39
83
37
Notre Dame
0
2-1
(0-0)
T51
39
T38
Michigan State
0
2-0
(0-0)
T44
6
T38
Minnesota
0
3-0
(0-0)
T39
37
T38
Houston
0
2-0
(0-0)
T44
65
41
LSU
-0.25
2-1
(0-1)
T8
26
T42
Purdue
-0.25
2-1
(0-0)
64
58
T42
Tennessee
-0.25
2-1
(0-1)
T26
51
44
Kansas State
-0.5
2-1
(0-0)
T15
26
45
Stanford
-0.5
1-2
(0-1)
T18
23
T46
UCLA
-0.5
2-1
(0-0)
T26
3
T46
Boise State
-0.5
2-1
(1-0)
50
80
T48
UCF
-0.5
1-0
(0-0)
T47
76
T48
Navy
-0.5
2-0
(0-0)
T47
68
T50
Indiana
-1
1-1
(0-1)
T51
39
T50
Arkansas
-1
1-1
(0-0)
62
58
52
App State
-1
2-1
(1-0)
T57
128
53
Pittsburgh
-1
1-2
(0-0)
43
63
54
South Carolina
-1.25
2-1
(1-1)
T22
39
T55
NC State
-1.5
2-1
(0-0)
T51
26
T55
Texas AM
-1.5
2-1
(0-0)
T51
11
T55
Georgia Tech
-1.5
1-1
(0-0)
T51
3
58
Texas
-1.5
1-2
(0-0)
63
23
T59
SMU
-1.5
2-1
(0-0)
T59
71
T59
Air Force
-1.5
1-1
(0-0)
T59
83
T61
E Michigan
-1.5
2-0
(0-0)
T65
88
T61
UTSA
-1.5
2-0
(0-0)
T65
129
63
Northwestern
-1.75
2-1
(0-0)
70
26
64
Ole Miss
-2
2-1
(0-0)
T39
6
65
Tulsa
-2
1-2
(0-0)
T57
68
66
Colorado St
-2
2-2
(0-0)
72
86
67
Illinois
-2.25
2-1
(0-0)
T59
51
68
Iowa State
-2.5
2-1
(0-0)
T77
18
69
Troy
-2.5
2-1
(1-0)
T79
113
70
W Michigan
-2.5
1-2
(0-0)
81
113
T71
Cincinnati
-2.5
2-1
(0-0)
73
76
T71
Army
-2.5
2-1
(0-0)
T65
88
73
Arkansas St
-2.75
1-1
(0-0)
82
124
T74
Virginia
-3
2-1
(0-0)
T85
31
T74
Arizona
-3
2-1
(0-0)
T85
17
T76
Marshall
-3
2-1
(0-0)
T88
110
T76
Louisiana Tech
-3
2-1
(1-0)
T101
119
78
Syracuse
-3.25
2-1
(0-0)
T83
2
T79
Temple
-3.25
2-1
(0-0)
T96
74
T79
Southern Miss
-3.25
2-1
(0-0)
T96
124
81
Tulane
-3.25
1-2
(0-0)
94
72
82
Arizona St
-3.5
1-2
(0-0)
T77
11
T83
Hawaii
-3.5
2-1
(0-0)
T88
94
T83
Ohio
-3.5
2-1
(0-0)
T109
119
T83
N Illinois
-3.5
2-1
(0-0)
106
88
86
Fresno St
-3.5
1-2
(0-0)
91
80
87
North Carolina
-3.75
1-2
(0-1)
95
62
88
Ball State
-4
2-1
(0-0)
104
88
89
Nebraska
-4.25
1-2
(0-0)
T51
26
90
Old Dominion
-4.25
2-1
(0-0)
T65
98
91
C Michigan
-4.25
2-1
(0-0)
T65
88
92
S Alabama
-4.25
1-2
(0-0)
107
113
93
Rutgers
-4.5
1-2
(0-0)
108
11
94
Uconn
-4.5
1-1
(0-0)
74
75
95
Akron
-4.75
1-2
(0-0)
75
98
96
FIU
-4.75
0-1
(0-0)
113
110
97
BYU
-5
1-3
(0-0)
76
95
T98
Wyoming
-5
1-2
(0-0)
T79
98
T98
Mid Tennessee
-5
1-2
(0-0)
T85
130
100
Utah State
-5
1-2
(0-0)
90
83
101
FAU
-5.25
1-2
(0-0)
T115
113
102
Kent State
-5.25
1-2
(0-0)
92
86
103
Missouri
-5.5
1-2
(0-1)
71
39
104
UNLV
-5.5
1-1
(0-0)
T117
80
105
UAB
-5.5
2-1
(0-0)
120
102
106
Boston College
-5.75
1-2
(0-1)
T83
39
T107
Buffalo
-5.75
1-2
(0-0)
123
113
T107
UL Monroe
-5.75
0-2
(0-0)
99
95
109
N Texas
-6
1-2
(0-0)
T109
124
110
Co Carolina
-6
1-1
(0-0)
93
119
111
W Kentucky
-6.25
1-2
(0-1)
T96
107
112
N Mexico St
-6.25
1-2
(0-1)
103
105
T113
Rice
-6.25
1-2
(1-0)
100
105
T113
Texas St
-6.25
1-2
(0-1)
111
113
115
Miami OH
-6.5
1-2
(0-0)
T101
107
116
New Mexico
-6.5
1-2
(0-1)
114
76
117
Georgia St
-6.5
0-2
(0-0)
125
119
118
UL Lafayette
-6.75
1-2
(0-0)
112
102
119
San Jose St
-6.75
1-3
(0-0)
T115
88
120
Oregon State
-7
1-3
(0-1)
122
11
121
GA Southern
-7
0-2
(0-0)
T126
119
122
Kansas
-7.25
1-2
(0-0)
105
6
123
Idaho
-7.5
1-2
(0-0)
T117
110
124
E Carolina
-8
0-3
(0-0)
T126
66
125
UTEP
-9.25
0-3
(0-1)
121
107
126
Baylor
-9.5
0-3
(0-0)
129
6
127
Nevada
-9.5
0-3
(0-0)
119
72
128
Bowling Green
-10
0-3
(0-0)
128
98
129
Charlotte
-10.5
0-3
(0-0)
124
124
130
Umass
-13.75
0-4
(0-0)
130
66
ACC Coastal Plot
Here is the Week 3 Coastal Division plot. These things are starting to look cool and in some cases quite busy. Notice the steady rise of Duke, who I mentioned as a sleeper last weekend.
I wanted to showcase another plot before getting into the conference reviews. As mentioned above, Mississipi State and LSU essentially flipped positions in this week’s rankings, as you can see in this plot. I also threw in Ole Miss, who lost to Cal this weekend for their first loss of the season. Just two weeks ago, Ole Miss and MSU were tied in the rankings. So much for that. I have now included each division’s plot (for Power 5 conferences and the American) in the division sections later on.
Conference Ranks: Not Much Separation at the Top
The SEC maintains the top conference this week, while the Big 10 is the new second place conference. However, the top 4 conferences are all quite close, especially conferences 2-4 behind the SEC. I’m of the opinion this season that there are no dominant conferences. Every conference has scored some nice nonconference wins and has suffered some embarassing losses. Even though the Big 12 is pretty clearly 5th in these rankings, a lot of that can be attributed to Baylor and Kansas, who are 126th and 122nd respectively. Ouch. Despite those anchors to the conference, Oklahoma, OSU, and maybe TCU/WVU/KSU are all very good.
We have a new worst conference. The Sun Belt passed Conference USA this week to no longer hold the title of Worst Conference. Between the two conferences, the Sun Belt probably has the best team of the bunch in Appalachian State. Western Kentucky, the recent “powerhouse” of CUSA, lost at home this past weekend to LA Tech, so the now-worst conference is struggling at the top.
Rank
Conf
Avg
1
SEC
0.4286
2
Big 10
0.0357
3
Pac 12
-0.1042
4
ACC
-0.1429
5
Big 12
-0.85
6
Amer
-1.9167
7
MW
-3.9167
8
MAC
-4.2708
9
S Belt
-5.2083
10
CUSA
-5.2679
11
Ind
-5.3125
Next are the rankings within every conference, as well as each team’s national ranking:
ACC: Virginia Tech Second?
Like I discussed, I will be investigating some “questionable” aspects of this week’s rankings and reflecting on whether these results are flaws to the method or whether they are benefits. In the ACC, Virginia Tech has been ranked high in my rankings ever since they beat West Virginia in week 1. They debuted at 8th, and now find themselves tied for 9th (whch isn’t too much different than their AP ranking of 13th). The method likes VT thus far because of that win against WVU. Lots of teams around VT in the rankings - Wisconsin, Washington, Miami, Florida State to name a few - don’t have a quality win, and therefore aren’t loved by the rankings. Although several of these teams have a higher “bin” than VT, the Hokies’ quality win gets them the benefit of the doubt. Looking at bodies of work, I think it’s fair to say VT has the second best ACC resume at this moment in time.
Rank
Team
Score
Record
(Conf)
Rem Sched Rank
NatlRank
1
Clemson
6.75
3-0
(1-0)
13
1
2
Virginia Tech
3
3-0
(0-0)
10
T9
3
Miami
2
1-0
(0-0)
8
17
4
Florida State
2
0-1
(0-0)
5
T18
5
Louisville
2
2-1
(1-1)
14
20
6
Duke
1.5
3-0
(0-0)
8
T26
7
Wake Forest
0.5
3-0
(1-0)
3
T33
8
Pittsburgh
-1
1-2
(0-0)
12
53
T9
NC State
-1.5
2-1
(0-0)
4
T55
T9
Georgia Tech
-1.5
1-1
(0-0)
2
T55
11
Virginia
-3
2-1
(0-0)
5
T74
12
Syracuse
-3.25
2-1
(0-0)
1
78
13
North Carolina
-3.75
1-2
(0-1)
11
87
14
Boston College
-5.75
1-2
(0-1)
7
106
Big 10: Purdue Much Better than Nebraska?
Purdue has jumped all the way up to T42nd in the nation this week (9th in the Big 10). 1st-year coach Jeff Brohm has been doing a marvelous job wih the Boilermakers, as they smashed Missouri on the road this past week, giving them their first two-game winning streak in five years (woohoo!). Recall they looked impressive in their only loss this season as well, a 35-28 setback against Louisville. All in all, I would say their resume deserves their spot. However, if you had told me a month ago that 3 weeks in, Purdue would be one spot behind LSU, I would have walked away from the conversation.
On the other side of the spectrum, we have Nebraska… the Cornhuskers lost at home to Northen Illinois this past weekend, dropping them all the way down to 89th in the country and 13th in the Big 10. They have struggled on both sides of the ball, giving up 36 points in their win against Arkansas State and scoring only 17 against Northern Illinois. Tulane transfer QB Tanner Lee leads the country with 7 INTs, including two pick-sixes this past weekend. Put me down as someone who thinks Nebraka can make a modest turnaround, but I think 13th in the Big 10 is appropriate right now. This sums up things in Lincoln at the moment:
SEC: Welcome Mississippi State, Vanderbilt, and Kentucky
What a wild weekend in the SEC. On Saturday night, an SEC team picked up a big win at home against a ranked opponent by holding the opponent to 7 points. And no, I’m not talking about Mississippi St. Kudos to Vanderbilt, who beat Kansas St 14-7 to set up a big game next weekend against Alabama. How cool would it be if Vandy takes down Bama? Another underrated result was Kentucky’s road win at South Carolina, who has had a decent start to the season so far. The Wildcats now are quietly 3-0, and sit at a respectable T26th in my rankings. The five remaining undefeated SEC teams are Alabama, Georgia,….. Mississippi State, Vanderbilt, and Kentucky. Also, yes I totally jinxed LSU last week, thanks for bringing it up.
I haven’t even mentioned the wildest ending of the weekend, Florida’s last-second win over Tennessee. Here was all of our reactions seeing the ending in real time:
Probably the most surprising addition in the top 10 is TCU, a team ranked 16th in the AP Poll. Their situation is pretty much identical to the team that’s tied with TCU for 9th, Virginia Tech. Like VT, TCU has a rock solid win: at Arkansas 28-7 in week 2. Getting a road win like that is looked upon favorably by my system, so I don’t have too much of an issue saying their body of work is better than teams like Washington or Miami. We’ll see what they’re made of this weekend though when they go up against Oklahoma State on the road. Win that game, and the Horned Frogs could be in the top 5.
Rank
Team
Score
Record
(Conf)
Rem Sched Rank
NatlRank
1
Oklahoma
5
3-0
(0-0)
9
2
2
OK State
4
3-0
(0-0)
9
5
3
TCU
3
3-0
(0-0)
8
T9
4
West Virginia
0.5
2-1
(0-0)
7
32
5
Texas Tech
0.25
2-0
(0-0)
4
T35
6
Kansas State
-0.5
2-1
(0-0)
6
44
7
Texas
-1.5
1-2
(0-0)
4
58
8
Iowa State
-2.5
2-1
(0-0)
3
68
9
Kansas
-7.25
1-2
(0-0)
1
122
10
Baylor
-9.5
0-3
(0-0)
1
126
Pac 12: Late Games are Fun
Those who stay up late for the Pac-12 games know that #Pac12AfterDark is always great fun. Week 2 gave us Boise St-Wash St’s 3OT thriller, and this last weekend gave us the 2OT ending of USC and Texas. Not to be outdone was the latest game, Stanford vs. San Diego State. That game literally lived up to the #Pac12AfterDark namesake: with about 4 minutes left in a close game, the San Diego stadium fell into darkness as the lights went out for about 20 minutes. Around the same time, Cal was beating Ole Miss by holding them scoreless for the whole second half. This is Cal we’re talking about; last season, the Golden Bears gave up less than 30 points in a game just twice. After midnight, anything can happen.
Rank
Team
Score
Record
(Conf)
Rem Sched Rank
NatlRank
1
USC
4.25
3-0
(1-0)
12
4
2
Washington
2.5
3-0
(0-0)
10
13
3
Washington St
2.5
3-0
(1-0)
7
T14
4
Oregon
1.25
3-0
(0-0)
11
28
T5
Utah
1
3-0
(0-0)
1
T29
T5
Colorado
1
3-0
(0-0)
7
T29
7
California
0.75
3-0
(0-0)
2
31
8
Stanford
-0.5
1-2
(0-1)
9
45
9
UCLA
-0.5
2-1
(0-0)
2
T46
10
Arizona
-3
2-1
(0-0)
6
T74
11
Arizona St
-3.5
1-2
(0-0)
4
82
12
Oregon State
-7
1-3
(0-1)
4
120
American: Roller Coaster Saturday
At various points throughout the day in the AAC, SMU led TCU 19-7, ECU led VT 17-7, Tulsa led Toledo 28-3, Miami (OH) led Cincinnati 17-6, and even Tulane led 14-7 over Oklahoma. At the end of the day, all of those leads disapperared and the “losing” team won. The AAC is going to need to do more if it wants to be thought of as a Power 6 conference. And no, this P6 logo doesn’t get the job done: https://www.sbnation.com/college-football/2017/7/19/15994696/american-athletic-conference-aac-football-power-6
The brightest spot for the AAC was of course Memphis’s win over ranked UCLA. The Tigers jump to 25th in my rankings, the 3rd highest non-P5 team (behind SD State and South Florida).
Rank
Team
Score
Record
(Conf)
Rem Sched Rank
NatlRank
1
S Florida
1.5
3-0
(0-0)
11
23
2
Memphis
1.5
2-0
(0-0)
12
25
3
Houston
0
2-0
(0-0)
1
T38
T4
Navy
-0.5
2-0
(0-0)
3
T48
T4
UCF
-0.5
1-0
(0-0)
9
T48
6
SMU
-1.5
2-1
(0-0)
5
T59
7
Tulsa
-2
1-2
(0-0)
3
65
8
Cincinnati
-2.5
2-1
(0-0)
9
T71
9
Temple
-3.25
2-1
(0-0)
7
T79
10
Tulane
-3.25
1-2
(0-0)
6
81
11
Uconn
-4.5
1-1
(0-0)
8
94
12
E Carolina
-8
0-3
(0-0)
2
124
Mountain West: Aztecs Making Me Look Smart
A lot of my thoughts last week look quite dumb now. Among several things, I called LSU the biggest threat to Alabama and called USC “scary” good before they almost blew it against Texas. But one thing I can hang my hat on was featuring how “underappreciated” the San Diego State Aztecs are, and saying they would at least keep things close against Stanford (I was too wimpy to pick the upset outright). Rashaad Penny and the Aztecs came through, beating Stanford 20-17 and rising to 16th in my rankings. San Diego State is now 2-0 against Pac 12 teams this season.
Rank
Team
Score
Record
(Conf)
Rem Sched Rank
NatlRank
1
San Diego St
2.25
3-0
(0-0)
12
16
2
Boise State
-0.5
2-1
(1-0)
3
T46
3
Air Force
-1.5
1-1
(0-0)
6
T59
4
Colorado St
-2
2-2
(0-0)
8
66
5
Hawaii
-3.5
2-1
(0-0)
10
T83
6
Fresno St
-3.5
1-2
(0-0)
3
86
7
Wyoming
-5
1-2
(0-0)
11
T98
8
Utah State
-5
1-2
(0-0)
6
100
9
UNLV
-5.5
1-1
(0-0)
3
104
10
New Mexico
-6.5
1-2
(0-1)
2
116
11
San Jose St
-6.75
1-3
(0-0)
9
119
12
Nevada
-9.5
0-3
(0-0)
1
127
MAC: Toledo and Northern Illinois Come Through
I already mentioned Northern Illinois’s big win over Nebraska. Later in the day, MAC preseason favorites - and a team featured here last week - Toledo won a wild shootout over a solid Tulsa team, 54-51. Logan Woodside and the Rockets have now creeped up to T35th in my rankings. If they really want to make a splash, they have an opportunity to take down rusty Miami this week, who has only played once this season with hurricane issues. Keep an eye on that one.
Rank
Team
Score
Record
(Conf)
Rem Sched Rank
NatlRank
1
Toledo
0.25
3-0
(0-0)
1
T35
2
E Michigan
-1.5
2-0
(0-0)
3
T61
3
W Michigan
-2.5
1-2
(0-0)
10
70
T4
Ohio
-3.5
2-1
(0-0)
12
T83
T4
N Illinois
-3.5
2-1
(0-0)
3
T83
6
Ball State
-4
2-1
(0-0)
3
88
7
C Michigan
-4.25
2-1
(0-0)
3
91
8
Akron
-4.75
1-2
(0-0)
7
95
9
Kent State
-5.25
1-2
(0-0)
2
102
10
Buffalo
-5.75
1-2
(0-0)
10
T107
11
Miami OH
-6.5
1-2
(0-0)
9
115
12
Bowling Green
-10
0-3
(0-0)
7
128
Conference USA: 3rd and 93
If you’re still reading, I appreciate it. However, I don’t have much to say about Conference USA! So… I’ll just leave this here another week:
Rank
Team
Score
Record
(Conf)
Rem Sched Rank
NatlRank
1
UTSA
-1.5
2-0
(0-0)
13
T61
T2
Marshall
-3
2-1
(0-0)
6
T76
T2
Louisiana Tech
-3
2-1
(1-0)
9
T76
4
Southern Miss
-3.25
2-1
(0-0)
10
T79
5
Old Dominion
-4.25
2-1
(0-0)
1
90
6
FIU
-4.75
0-1
(0-0)
6
96
7
Mid Tennessee
-5
1-2
(0-0)
14
T98
8
FAU
-5.25
1-2
(0-0)
8
101
9
UAB
-5.5
2-1
(0-0)
2
105
10
N Texas
-6
1-2
(0-0)
10
109
11
W Kentucky
-6.25
1-2
(0-1)
4
111
12
Rice
-6.25
1-2
(1-0)
3
T113
13
UTEP
-9.25
0-3
(0-1)
4
125
14
Charlotte
-10.5
0-3
(0-0)
10
129
Sun Belt
Rank
Team
Score
Record
(Conf)
Rem Sched Rank
NatlRank
1
App State
-1
2-1
(1-0)
12
52
2
Troy
-2.5
2-1
(1-0)
5
69
3
Arkansas St
-2.75
1-1
(0-0)
11
73
4
S Alabama
-4.25
1-2
(0-0)
5
92
5
UL Monroe
-5.75
0-2
(0-0)
1
T107
6
Co Carolina
-6
1-1
(0-0)
8
110
7
N Mexico St
-6.25
1-2
(0-1)
3
112
8
Texas St
-6.25
1-2
(0-1)
5
T113
9
Georgia St
-6.5
0-2
(0-0)
8
117
10
UL Lafayette
-6.75
1-2
(0-0)
2
118
11
GA Southern
-7
0-2
(0-0)
8
121
12
Idaho
-7.5
1-2
(0-0)
4
123
Independents
BYU has been horrible offensively this season, having scored only 39 points in 4 games this year. As a comparison, Virginia Tech scored 35 points in the third quarter against hapless East Carolina this past week. Here is a nice summary of the Cougars so far this year:
Thanks for reading this far! Here’s a bonus video from this past Saturday. I am not sure if it should have been, but yes, it counted!
Division Ranks
For those who are even more curious, here are the same analyses but by division instead of conference. I know the plot is a little busy, but it gives a decent idea of how the divisions fall.
Rank
Div
Avg
1
Big 10 E
0.8571
2
SEC W
0.6786
3
SEC E
0.1786
4
ACC Atl
0.1071
5
Pac 12 N
-0.0833
6
Pac 12 S
-0.125
7
ACC Coast
-0.3929
8
Big 10 W
-0.7857
9
Big 12
-0.85
10
Amer W
-0.9583
11
MAC W
-2.5833
12
Amer E
-2.875
13
MW Moun
-3.4167
14
MW West
-4.4167
15
CUSA W
-4.9643
16
S Belt
-5.2083
17
Ind
-5.3125
18
CUSA E
-5.5714
19
MAC E
-5.9583
Next are the rankings within every division, as well as each team’s national ranking (now with plots!):