It still needs some tweaking in terms of using it to make predictions about individual game outcomes and total win/loss record, but I am somewhat satisfied with the results. The main point was to come up with a way to quantify my gut feelings about the upcoming season. I feel like this does a pretty good job. Some of the teams that I thought might surprise this season ended up being ranked higher than other preseason rankings that I've seen (Ole Miss, Miami), though admittedly this puts them a little higher than I think they probably belong. Others that I think are over-rated are ranked lower than other preseason rankings (Louisville, Texas A&M, USC).
This initial posting is simply how highly the teams rate based on the weighted average of the 16 statistical categories. I placed the teams' strength of schedule next to them so you can envision what their season might play out like. For example, according to my model, Stanford is the 5th best team in the country, however, they play the 3rd toughest schedule, so it is less likely that they'll finish ranked 5th at the end of the season. Nebraska and Florida State, on the other hand, are the 8th and 10th best teams, respectively, playing the 85th- and 75th-toughest schedule, respectively, so the model would predict that they would probably finish higher than 8th and 10th. Notre Dame, Florida, Arizona State are in a similar situation with Stanford: they are probably better teams than their final records will indicate.
Again, I am still playing around with some aspects of the model as I am not 100% satisfied with the predictive results. When I combine quality of team with ease of schedule, some interesting things happen: mostly, it thinks there are 6 potential non-AQ BCS busters. Basically any non-BCS team in the top 60 with an SOS lower than 60 jumps into the top 25, with two teams in the top 10. Some non-BCS teams jump into the top 25 even if their predicted records are 9-3. When was the last time a MAC team was even getting votes at 9-3, let alone getting ranked...
The model really just says, on paper, based on criteria that I selected to use for comparison, how good is each team. Last I checked though, Ole Miss didn't have a cardboard field. I could buy Texas as the 4th most talented team in the country, but running through a round-robin gauntlet Big XII schedule with two top 40 opponents in the non-conference (including one on the road), it seems unlikely they will stay up that high.
The model does predict that Alabama, clearly the best team in the country coming into the season by any measure, will defeat all of their opponents by double digits, excluding a 9-point win against Ole Miss. The game against Georgia in the SEC Title game (the model projects those two winning their divisions), is a statistical draw, suggesting a one-point Alabama win.
I am very interested in your thoughts on this, so call, e-mail, or post a comment!
Rank | Team | SOS |
1 | Alabama | 38 |
2 | Ohio State | 84 |
3 | Georgia | 11 |
4 | Texas | 23 |
5 | Stanford | 3 |
6 | Oregon | 39 |
7 | Ole Miss | 27 |
8 | Nebraska | 85 |
9 | Notre Dame | 7 |
10 | Florida State | 75 |
11 | LSU | 10 |
12 | Miami | 48 |
13 | Oklahoma | 19 |
14 | TCU | 40 |
15 | OK State | 42 |
16 | Oregon State | 33 |
17 | Clemson | 61 |
18 | Florida | 1 |
19 | Wisconsin | 66 |
20 | Michigan State | 65 |
21 | Washington | 37 |
22 | Louisville | 93 |
23 | USC | 15 |
24 | Boise State | 106 |
25 | ECU | 104 |
26 | NIU | 125 |
27 | Arizona State | 6 |
28 | Virginia Tech | 44 |
29 | Texas A&M | 30 |
30 | South Carolina | 22 |
31 | Kansas State | 51 |
32 | Utah State | 92 |
33 | Bowling Green | 119 |
34 | Georgia Tech | 46 |
35 | Tennessee | 14 |
36 | Ohio | 123 |
37 | Fresno State | 117 |
38 | Auburn | 20 |
39 | Rice | 122 |
40 | BYU | 16 |
41 | Arizona | 45 |
42 | UCLA | 21 |
43 | Mississippi State | 5 |
44 | Michigan | 32 |
45 | Cincinnati | 69 |
46 | Missouri | 18 |
47 | NC State | 82 |
48 | Utah | 8 |
49 | Toledo | 100 |
50 | Rutgers | 77 |
51 | Vanderbilt | 35 |
52 | North Carolina | 25 |
53 | Lafayette | 114 |
54 | Northwestern | 49 |
55 | ULM | 99 |
56 | Minnesota | 52 |
57 | Baylor | 41 |
58 | Arkansas | 4 |
59 | MTSU | 118 |
60 | Texas Tech | 43 |
61 | Marshall | 110 |
62 | Penn State | 59 |
63 | Houston | 63 |
64 | San Diego State | 78 |
65 | Tulsa | 74 |
66 | Temple | 83 |
67 | Boston College | 53 |
68 | Pittsburgh | 34 |
69 | Purdue | 17 |
70 | San Jose State | 73 |
71 | Wake Forest | 50 |
72 | USF | 64 |
73 | WKU | 103 |
74 | Washington State | 9 |
75 | Navy | 107 |
76 | Arkansas State | 111 |
77 | Ball State | 124 |
78 | Kentucky | 13 |
79 | West Virginia | 55 |
80 | Connecticut | 87 |
81 | Duke | 58 |
82 | UCF | 70 |
83 | Indiana | 36 |
84 | Virginia | 29 |
85 | Texas State | 120 |
86 | Iowa | 26 |
87 | North Texas | 90 |
88 | UTSA | 88 |
89 | Colorado State | 98 |
90 | Hawaii | 54 |
91 | Buffalo | 102 |
92 | Syracuse | 57 |
93 | SMU | 56 |
94 | Troy | 86 |
95 | UNLV | 94 |
96 | Nevada | 62 |
97 | South Alabama | 108 |
98 | California | 2 |
99 | Iowa St | 28 |
100 | Illinois | 24 |
101 | Kent State | 81 |
102 | ODU | 126 |
103 | CMU | 101 |
104 | Memphis | 76 |
105 | Colorado | 12 |
106 | Southern Mississippi | 67 |
107 | Army | 109 |
108 | Georgia State | 115 |
109 | Wyoming | 89 |
110 | UAB | 79 |
111 | Louisiana Tech | 121 |
112 | Maryland | 60 |
113 | Kansas | 31 |
114 | Air Force | 95 |
115 | New Mexico State | 97 |
116 | Tulane | 113 |
117 | New Mexico | 95 |
118 | WMU | 105 |
119 | FAU | 71 |
120 | Miami OH | 91 |
121 | UTEP | 112 |
122 | FIU | 116 |
123 | Akron | 72 |
124 | Idaho | 47 |
125 | EMU | 68 |
126 | U Mass | 80 |
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