GameRank | Team | Score | W-L | Matchup | Prediction |
---|---|---|---|---|---|
1 ▲9 | Tennessee | 3.36415 | 4-0 | W 34–31 @ #15 Georgia (2-1) 10/01 | 66% |
2 ▲11 | Clemson | 3.26494 | 3-0 | W 42–36 vs #3 Louisville (4-0) 10/01 | 53% |
3 ▲18 | Louisville | 2.84104 | 4-0 | L 36–42 @ #2 Clemson (3-0) 10/01 | 47% |
4 ▲8 | Texas A&M | 2.73281 | 3-0 | W 24–13 @ #22 South Carolina (2-2) 10/01 | 65% |
5 ▲12 | Houston | 2.23224 | 3-0 | W 42–14 vs #48 Connecticut (1-2) 09/29 | 69% |
6 ▲3 | Michigan | 2.16460 | 4-0 | W 14–7 vs #9 Wisconsin (4-0) 10/01 | 52% |
7 ▲73 | Florida St | 2.10147 | 2-1 | L 35–37 vs #50 North Carolina (2-1) 10/01 | 68% |
8 ▲48 | Wake Forest | 2.01578 | 3-0 | L 16–33 @ #82 NC State (1-1) 10/01 | 74% |
9 ▼8 | Wisconsin | 1.99324 | 4-0 | L 7–14 @ #6 Michigan (4-0) 10/01 | 48% |
10 ▲100 | Mississippi | 1.91657 | 1-2 | W 48–28 vs #72 Memphis (2-0) 10/01 | 71% |
11 | Alabama | 1.87599 | 4-0 | W 34–6 vs #28 Kentucky (2-2) 10/01 | 59% |
12 ▼4 | Nebraska | 1.77227 | 4-0 | W 31–16 vs #120 Illinois (0-2) 10/01 | 80% |
13 ▲11 | W Michigan | 1.75874 | 3-0 | W 49–10 @ #60 C Michigan (2-1) 10/01 | 66% |
14 ▼9 | Arkansas | 1.74972 | 3-1 | ||
15 ▲1 | Georgia | 1.74070 | 2-1 | L 31–34 vs #1 Tennessee (4-0) 10/01 | 34% |
16 ▲21 | Troy | 1.63247 | 2-1 | W 34–13 @ #101 Idaho (1-2) 10/01 | 74% |
17 ▲9 | Arizona St | 1.60090 | 3-0 | L 20–41 @ #78 USC (1-3) 10/01 | 70% |
18 ▲36 | Nevada | 1.55130 | 1-2 | L 17–38 @ #121 Hawaii (0-2) 10/01 | 77% |
19 ▼15 | Boise St | 1.55130 | 3-0 | W 21–10 vs #100 Utah St (1-2) 10/01 | 73% |
20 ▼1 | Stanford | 1.52424 | 3-0 | L 6–44 @ #27 Washington (3-0) 09/30 | 54% |
21 ▼6 | Ohio St | 1.47914 | 3-0 | W 58–0 vs #91 Rutgers (1-2) 10/01 | 70% |
22 ▼16 | South Carolina | 1.45209 | 2-2 | L 13–24 vs #4 Texas A&M (3-0) 10/01 | 35% |
23 ▲30 | Cincinnati | 1.44307 | 2-1 | L 20–45 vs #51 South Florida (2-1) 10/01 | 60% |
24 ▼1 | Florida | 1.36189 | 3-1 | W 13–6 @ #26 Vanderbilt (2-2) 10/01 | 51% |
25 ▲101 | Buffalo | 1.33033 | 1-1 | L 3–35 @ #93 Boston College (1-2) 10/01 | 68% |
26 ▲13 | Vanderbilt | 1.30778 | 2-2 | L 6–13 vs #24 Florida (3-1) 10/01 | 49% |
27 | Washington | 1.28523 | 3-0 | W 44–6 vs #20 Stanford (3-0) 09/30 | 46% |
28 ▲31 | Kentucky | 1.28523 | 2-2 | L 6–34 @ #11 Alabama (4-0) 10/01 | 41% |
29 | Georgia Tech | 1.27170 | 2-1 | L 21–35 vs #47 Miami FL (2-0) 10/01 | 55% |
30 ▲64 | Virginia | 1.22661 | 1-2 | W 34–20 @ #62 Duke (1-2) 10/01 | 58% |
31 ▼6 | Navy | 1.21759 | 2-0 | L 14–28 @ #68 Air Force (2-0) 10/01 | 60% |
32 ▼30 | Mississippi St | 1.19504 | 2-2 | ||
33 ▲27 | Virginia Tech | 1.18602 | 2-1 | ||
34 ▼2 | Baylor | 1.18151 | 3-0 | W 45–42 @ #95 Iowa St (1-2) 10/01 | 66% |
35 ▲14 | West Virginia | 1.15445 | 2-0 | W 17–16 vs #98 Kansas St (1-1) 10/01 | 66% |
36 ▲29 | Southern Miss | 1.14994 | 2-1 | W 44–28 vs #111 Rice (0-4) 10/01 | 72% |
37 ▼6 | Notre Dame | 1.14994 | 1-3 | W 50–33 @ #56 Syracuse (1-2) 10/01 | 55% |
38 ▼20 | California | 1.14994 | 1-2 | W 28–23 vs #55 Utah (3-0) 10/01 | 55% |
39 ▲11 | Iowa | 1.13641 | 3-0 | L 31–38 vs #64 Northwestern (1-2) 10/01 | 57% |
40 ▼2 | Indiana | 1.07779 | 2-1 | W 24–21 vs #71 Michigan St (1-1) 10/01 | 58% |
41 ▲46 | Auburn | 1.07779 | 2-2 | W 58–7 vs #109 ULM (0-2) 10/01 | 71% |
42 | Missouri | 1.07328 | 1-2 | L 7–42 @ #45 LSU (1-2) 10/01 | 51% |
43 ▼2 | East Carolina | 1.07328 | 1-2 | L 29–47 vs #105 UCF (1-2) 10/01 | 66% |
44 ▲60 | Purdue | 1.05975 | 1-1 | L 7–50 @ #74 Maryland (2-0) 10/01 | 58% |
45 ▼25 | LSU | 1.03720 | 1-2 | W 42–7 vs #42 Missouri (1-2) 10/01 | 49% |
46 ▼12 | Army | 1.03720 | 3-1 | ||
47 ▲1 | Miami FL | 1.02368 | 2-0 | W 35–21 @ #29 Georgia Tech (2-1) 10/01 | 45% |
48 ▲21 | Connecticut | 1.01917 | 1-2 | L 14–42 @ #5 Houston (3-0) 09/29 | 31% |
49 ▼4 | Colorado | 1.00113 | 2-1 | W 47–6 vs #112 Oregon St (0-2) 10/01 | 69% |
50 ▲26 | North Carolina | 0.98309 | 2-1 | W 37–35 @ #7 Florida St (2-1) 10/01 | 32% |
51 ▲4 | South Florida | 0.97858 | 2-1 | W 45–20 @ #23 Cincinnati (2-1) 10/01 | 40% |
52 ▼45 | San Diego St | 0.96956 | 2-0 | L 24–42 @ #65 South Alabama (1-2) 10/01 | 53% |
53 ▲30 | TCU | 0.96505 | 2-1 | L 46–52 vs #81 Oklahoma (1-2) 10/01 | 58% |
54 ▲16 | Appalachian St | 0.96054 | 2-2 | W 17–3 vs #122 Georgia St (0-3) 10/01 | 68% |
55 ▼22 | Utah | 0.92897 | 3-0 | L 23–28 @ #38 California (1-2) 10/01 | 45% |
56 ▲45 | Syracuse | 0.92897 | 1-2 | L 33–50 vs #37 Notre Dame (1-3) 10/01 | 45% |
57 ▲21 | Oregon | 0.92897 | 1-2 | L 33–51 @ #80 Washington St (1-1) 10/01 | 57% |
58 ▼6 | Minnesota | 0.91995 | 2-0 | L 26–29 @ #61 Penn St (2-2) 10/01 | 51% |
59 ▼23 | Ga Southern | 0.91995 | 2-1 | ||
60 ▼57 | C Michigan | 0.90643 | 2-1 | L 10–49 vs #13 W Michigan (3-0) 10/01 | 34% |
61 ▼17 | Penn St | 0.88839 | 2-2 | W 29–26 vs #58 Minnesota (2-0) 10/01 | 49% |
62 ▲62 | Duke | 0.87486 | 1-2 | L 20–34 vs #30 Virginia (1-2) 10/01 | 42% |
63 ▼33 | Texas | 0.86133 | 2-1 | L 31–49 @ #70 Oklahoma St (1-2) 10/01 | 52% |
64 ▲3 | Northwestern | 0.86133 | 1-2 | W 38–31 @ #39 Iowa (3-0) 10/01 | 43% |
65 ▼37 | South Alabama | 0.85682 | 1-2 | W 42–24 vs #52 San Diego St (2-0) 10/01 | 47% |
66 ▼23 | Louisiana | 0.85682 | 1-2 | L 31–37 @ #88 New Mexico St (1-3) 10/01 | 57% |
67 ▼45 | Pittsburgh | 0.82525 | 1-2 | W 43–27 vs #116 Marshall (0-2) 10/01 | 65% |
68 ▲22 | Air Force | 0.80722 | 2-0 | W 28–14 vs #31 Navy (2-0) 10/01 | 40% |
69 ▲30 | Tulane | 0.80271 | 1-2 | W 31–24 @ #106 Massachusetts (1-3) 10/01 | 60% |
70 ▼56 | Oklahoma St | 0.80271 | 1-2 | W 49–31 vs #63 Texas (2-1) 10/01 | 48% |
71 ▼31 | Michigan St | 0.78918 | 1-1 | L 21–24 @ #40 Indiana (2-1) 10/01 | 42% |
72 ▲5 | Memphis | 0.78016 | 2-0 | L 28–48 @ #10 Mississippi (1-2) 10/01 | 29% |
73 ▼38 | UCLA | 0.77114 | 2-2 | W 45–24 vs #97 Arizona (1-2) 10/01 | 56% |
74 ▼17 | Maryland | 0.77114 | 2-0 | W 50–7 vs #44 Purdue (1-1) 10/01 | 42% |
75 ▼17 | Texas St | 0.76212 | 1-2 | ||
76 ▼4 | E Michigan | 0.72604 | 2-1 | W 28–25 @ #127 Bowling Green (0-3) 10/01 | 62% |
77 ▼31 | BYU | 0.70349 | 1-3 | W 55–53 vs #79 Toledo (2-0) 09/30 | 50% |
78 ▼31 | USC | 0.69899 | 1-3 | W 41–20 vs #17 Arizona St (3-0) 10/01 | 30% |
79 ▼18 | Toledo | 0.69899 | 2-0 | L 53–55 @ #77 BYU (1-3) 09/30 | 50% |
80 ▼7 | Washington St | 0.69448 | 1-1 | W 51–33 vs #57 Oregon (1-2) 10/01 | 43% |
81 ▼15 | Oklahoma | 0.69448 | 1-2 | W 52–46 @ #53 TCU (2-1) 10/01 | 42% |
82 ▼1 | NC State | 0.69448 | 1-1 | W 33–16 vs #8 Wake Forest (3-0) 10/01 | 26% |
83 ▼4 | MTSU | 0.68095 | 2-1 | W 30–13 @ #103 North Texas (1-2) 10/01 | 55% |
84 | SMU | 0.67193 | 1-2 | L 20–45 @ #96 Temple (1-2) 10/01 | 53% |
85 ▲3 | Tulsa | 0.66742 | 2-1 | ||
86 ▲6 | Ball St | 0.66742 | 2-1 | L 24–31 vs #114 N Illinois (0-3) 10/01 | 60% |
87 ▼36 | Akron | 0.66291 | 1-2 | W 31–27 @ #118 Kent (0-2) 10/01 | 60% |
88 ▼20 | New Mexico St | 0.65840 | 1-3 | W 37–31 vs #66 Louisiana (1-2) 10/01 | 43% |
89 ▼14 | Ohio | 0.64036 | 1-2 | W 17–7 @ #115 Miami OH (0-3) 10/01 | 59% |
90 ▼28 | WKU | 0.63134 | 2-2 | ||
91 ▼9 | Rutgers | 0.62683 | 1-2 | L 0–58 @ #21 Ohio St (3-0) 10/01 | 30% |
92 ▼28 | UTEP | 0.61330 | 1-3 | L 7–28 @ #117 Louisiana Tech (0-3) 10/01 | 58% |
93 ▼30 | Boston College | 0.61330 | 1-2 | W 35–3 vs #25 Buffalo (1-1) 10/01 | 32% |
94 ▲12 | Old Dominion | 0.60879 | 1-2 | W 52–17 @ #126 Charlotte (0-3) 10/01 | 57% |
95 ▲21 | Iowa St | 0.60428 | 1-2 | L 42–45 vs #34 Baylor (3-0) 10/01 | 34% |
96 ▲4 | Temple | 0.59977 | 1-2 | W 45–20 vs #84 SMU (1-2) 10/01 | 47% |
97 ▼11 | Arizona | 0.59977 | 1-2 | L 24–45 @ #73 UCLA (2-2) 10/01 | 44% |
98 ▼27 | Kansas St | 0.59526 | 1-1 | L 16–17 @ #35 West Virginia (2-0) 10/01 | 34% |
99 ▼10 | Wyoming | 0.58174 | 1-2 | W 38–17 @ #104 Colorado St (1-2) 10/01 | 51% |
100 ▼9 | Utah St | 0.57723 | 1-2 | L 10–21 @ #19 Boise St (3-0) 10/01 | 27% |
101 ▲17 | Idaho | 0.57723 | 1-2 | L 13–34 vs #16 Troy (2-1) 10/01 | 26% |
102 ▼28 | Texas Tech | 0.57272 | 1-1 | W 55–19 vs #119 Kansas (0-2) 09/29 | 56% |
103 ▲4 | North Texas | 0.55919 | 1-2 | L 13–30 vs #83 MTSU (2-1) 10/01 | 45% |
104 ▼19 | Colorado St | 0.55017 | 1-2 | L 17–38 vs #99 Wyoming (1-2) 10/01 | 49% |
105 ▼7 | UCF | 0.54566 | 1-2 | W 47–29 @ #43 East Carolina (1-2) 10/01 | 34% |
106 ▼13 | Massachusetts | 0.53213 | 1-3 | L 24–31 vs #69 Tulane (1-2) 10/01 | 40% |
107 ▼12 | UT San Antonio | 0.45096 | 0-3 | ||
108 ▼12 | UNLV | 0.45096 | 0-3 | W 45–20 vs #123 Fresno St (0-3) 10/01 | 50% |
109 ▼12 | ULM | 0.45096 | 0-2 | L 7–58 @ #41 Auburn (2-2) 10/01 | 29% |
110 ▼8 | San Jose St | 0.45096 | 0-3 | L 41–48 @ #113 New Mexico (0-2) 10/01 | 50% |
111 ▼8 | Rice | 0.45096 | 0-4 | L 28–44 @ #36 Southern Miss (2-1) 10/01 | 28% |
112 ▼7 | Oregon St | 0.45096 | 0-2 | L 6–47 @ #49 Colorado (2-1) 10/01 | 31% |
113 ▼5 | New Mexico | 0.45096 | 0-2 | W 48–41 vs #110 San Jose St (0-3) 10/01 | 50% |
114 ▼5 | N Illinois | 0.45096 | 0-3 | W 31–24 @ #86 Ball St (2-1) 10/01 | 40% |
115 ▼4 | Miami OH | 0.45096 | 0-3 | L 7–17 vs #89 Ohio (1-2) 10/01 | 41% |
116 ▼4 | Marshall | 0.45096 | 0-2 | L 27–43 @ #67 Pittsburgh (1-2) 10/01 | 35% |
117 ▼4 | Louisiana Tech | 0.45096 | 0-3 | W 28–7 vs #92 UTEP (1-3) 10/01 | 42% |
118 ▼4 | Kent | 0.45096 | 0-2 | L 27–31 vs #87 Akron (1-2) 10/01 | 40% |
119 ▼4 | Kansas | 0.45096 | 0-2 | L 19–55 @ #102 Texas Tech (1-1) 09/29 | 44% |
120 ▼3 | Illinois | 0.45096 | 0-2 | L 16–31 @ #12 Nebraska (4-0) 10/01 | 20% |
121 ▼2 | Hawaii | 0.45096 | 0-2 | W 38–17 vs #18 Nevada (1-2) 10/01 | 23% |
122 ▼2 | Georgia St | 0.45096 | 0-3 | L 3–17 @ #54 Appalachian St (2-2) 10/01 | 32% |
123 ▼2 | Fresno St | 0.45096 | 0-3 | L 20–45 @ #108 UNLV (0-3) 10/01 | 50% |
124 ▼2 | Florida Intl | 0.45096 | 0-4 | W 33–31 vs #125 FL Atlantic (0-3) 10/01 | 50% |
125 ▼2 | FL Atlantic | 0.45096 | 0-3 | L 31–33 @ #124 Florida Intl (0-4) 10/01 | 50% |
126 ▼1 | Charlotte | 0.45096 | 0-3 | L 17–52 vs #94 Old Dominion (1-2) 10/01 | 43% |
127 | Bowling Green | 0.45096 | 0-3 | L 25–28 vs #76 E Michigan (2-1) 10/01 | 38% |
128 | Arkansas St | 0.45096 | 0-3 |
FBS data last updated 761h25m40s ago.