The Dr. Edward Kambour NCAA Football Ratings2016 Season Ratings |
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Below are the ratings for Division 1 Bowl Subdivision College Football. The first column is the school name, followed by the estimated power rating and home-field advantage. To forecast the outcome of a game simply subtract the visiting team's rating from the sum of the home team's rating and the home team's home field advantage. The difference is approximately the forecasted point-spread. Thus, if the result is positive, the home team is predicted to win, while if the result is negative, the visiting team is predicted to win. The teams are ranked by their ratings. Predictions of this weekend's games can be found here. |
Rating HomeAd
Alabama 106.3129 3.1088
Ohio St 98.8706 1.3448
Clemson 97.7033 -0.3836
Michigan 94.3697 4.4757
Washington 93.4013 3.5791
Oklahoma 91.2653 0.8495
LSU 90.2004 3.6831
Auburn 88.9421 2.5246
Wisconsin 87.2731 2.7667
USC 86.7629 5.5172
Louisville 85.6295 3.0742
Florida St 85.2435 6.4079
Stanford 84.9302 1.6417
Washington St 84.7700 3.1482
Virginia Tech 84.4315 2.6376
Texas A&M 83.9171 0.6478
Florida 83.0922 -0.5060
Oklahoma St 83.0744 1.1250
Iowa 82.7902 1.2360
Miami Fl 82.5095 3.6925
Penn St 81.8464 6.6298
Utah 81.7465 -1.0874
West Virginia 81.5841 3.7810
Kansas St 81.1990 1.3930
Tennessee 81.0447 3.1170
Mississippi 80.7131 3.3430
W Kentucky 80.2344 3.2490
North Carolina 79.7807 4.7260
Colorado 79.6787 5.0920
Pittsburgh 79.6598 1.4458
Baylor 79.4855 3.0178
Arkansas 79.4051 -0.4545
Houston 79.1596 1.2433
TCU 78.8410 3.4814
W Michigan 78.8124 2.2142
Notre Dame 78.3093 4.0351
UCLA 78.1241 -1.9423
Georgia 77.9960 3.1057
BYU 77.6789 4.9039
Oregon 77.5539 -2.0017
Boise St 77.3867 0.6541
Mississippi St 77.1483 1.7594
NC State 77.1146 0.1331
Northwestern 76.9561 3.0179
Memphis 76.7532 5.2265
Nebraska 76.2073 2.9553
Georgia Tech 76.1391 5.0859
San Diego St 75.3930 3.5839
Michigan St 75.3414 3.4020
Temple 74.9757 4.9932
South Florida 74.8799 3.9878
Minnesota 74.8362 3.6241
Texas 74.7300 1.3746
Appalachian St 74.2984 -2.7114
Toledo 74.1253 1.4851
California 73.6316 5.1601
Tulsa 73.3880 -1.6269
Texas Tech 72.7341 2.5573
Navy 72.4569 4.7619
Vanderbilt 71.4100 2.4358
Duke 70.4715 -0.0464
Arizona St 70.2262 5.6523
Louisiana Tech 70.1336 5.8307
South Carolina 69.9167 -0.0360
Missouri 69.6386 0.1382
Indiana 69.4208 3.5743
Air Force 67.6398 7.0940
Kentucky 67.5178 6.7007
Oregon St 67.4102 2.3364
Iowa St 67.1253 9.0129
Boston College 66.3264 0.5471
Maryland 66.1011 2.0314
Troy 66.0538 1.2436
Wake Forest 66.0082 5.2573
Colorado St 65.8771 4.9828
Virginia 64.7544 3.9406
C Florida 64.7346 0.5734
Arkansas St 64.4280 6.1614
Wyoming 64.2675 -0.1576
N Illinois 64.2658 3.0191
Arizona 63.9759 4.5661
Syracuse 63.8540 0.9034
Southern Miss 63.3277 -0.9691
Georgia So 62.4815 3.0316
Ohio 61.9165 3.7258
Utah St 61.5739 1.8056
New Mexico 61.2880 2.1691
Army 61.1526 -0.9359
East Carolina 60.9421 2.2805
Old Dominion 60.6101 0.0365
Middle Tenn St 60.3189 4.9178
Purdue 60.3088 -2.7768
UAB 60.1271 6.3851
UTSA 60.0195 -1.3570
Illinois 59.6559 4.3643
Cincinnati 58.9021 5.2416
SMU 58.2273 0.8707
C Michigan 57.9160 3.9771
UL Lafayette 57.7889 -2.7135
Nevada 57.7043 1.3893
Bowling Green 57.6777 2.6270
Georgia St 57.1787 -8.6132
Miami Oh 56.9773 3.8040
Idaho 56.2901 3.7110
S Alabama 56.2435 0.4453
Ball St 56.0395 -1.3562
Akron 55.4969 3.2001
Tulane 54.9192 1.7941
E Michigan 54.4398 1.0491
San Jose St 54.0533 3.3202
UNLV 53.6447 -1.1178
Connecticut 53.4848 3.5191
Rutgers 53.3325 2.5797
Kent St 53.3306 1.7619
Marshall 52.9391 4.7526
Hawaii 52.8099 3.5989
Massachusetts 52.3514 0.3427
Kansas 51.8378 5.2019
Florida Intl 50.1313 2.1808
Fresno St 49.8700 3.1602
Rice 49.0414 1.2454
North Texas 48.3210 5.9897
Florida Atl 48.1871 2.5476
UL Monroe 46.9162 -2.4611
New Mexico St 46.4770 3.7980
Texas-El Paso 44.5584 4.0847
Charlotte 44.2235 2.9946
Buffalo 44.2111 9.1687
Texas St 38.6099 -0.1941
Ratings include games through December 31, 2016.
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Note: These ratings are the result of a Dynamic Hierarchical Bayesian Linear Forecaster. The author has a Ph.D. in Statistics from Texas A&M. He specializes in Bayesian Forecasting. The forecasting method has been presented at four technical conferences, the 1997 and 1998 Conferences of Texas Statisticians, as an invited presentation at the 2001 Joint Statistical Meetings , and at a 2003 Houston INFORMS meeting. The powerpoint slides from the INFORMS talk are available here. |