The Dr. Edward Kambour NCAA Football Ratings2011 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 106.2180 -0.1849
LSU 103.3526 1.7812
Stanford 98.2722 0.1152
Oregon 97.5971 1.1940
Boise St 96.5305 -0.7770
Oklahoma St 95.7296 1.7739
Oklahoma 91.4339 4.0135
USC 90.1470 0.0795
Wisconsin 89.3476 7.3569
Florida St 87.1162 1.4157
Arkansas 86.9581 5.4107
South Carolina 85.6669 5.9595
Houston 85.3139 3.0858
Michigan 84.8369 5.7692
TCU 84.7556 3.3434
Florida 83.6075 1.6818
Missouri 83.1907 2.5207
Notre Dame 83.0894 2.4530
Michigan St 82.4568 7.1914
Georgia 82.2599 6.5107
Texas A&M 82.2255 5.8654
Nebraska 81.6934 1.6659
Texas 81.5329 2.9879
Virginia Tech 80.8825 0.9080
Arizona St 80.6706 6.2188
Utah 80.2304 -0.2394
Miami Fl 79.9426 1.7477
Kansas St 79.7409 2.7368
West Virginia 79.4409 3.7485
Mississippi St 78.5916 4.4427
Clemson 77.5849 5.0352
Ohio St 77.5806 3.4157
Vanderbilt 77.2131 1.7941
Cincinnati 77.0019 3.1729
Southern Miss 76.7757 3.0779
Iowa 76.6955 4.8962
California 75.7564 7.0187
Penn St 75.5830 2.1906
Auburn 75.4819 4.0044
Tulsa 75.1671 0.9164
Temple 75.0078 0.5009
BYU 74.9813 0.4066
Arizona 74.8298 3.7692
North Carolina 74.4455 3.0816
Louisiana Tech 74.3792 3.4827
Rutgers 73.9864 2.2972
Washington 73.8160 4.6821
Georgia Tech 73.7320 2.1389
South Florida 73.6548 2.4997
Baylor 73.6105 6.7983
Toledo 73.4964 0.9895
Pittsburgh 72.9577 3.6045
Louisville 72.6762 0.5489
Tennessee 72.5274 4.4679
Air Force 71.9278 -0.6603
Northwestern 71.7968 1.7246
Navy 71.7302 -1.3239
Oregon St 71.6528 4.2301
San Diego St 71.4556 4.1060
Nevada 71.3456 6.6660
NC State 70.9835 5.8703
Texas Tech 70.7695 -1.0965
Illinois 70.2474 4.0210
Boston College 69.3849 1.3040
UCLA 68.8667 5.5116
Virginia 68.5880 -0.9294
N Illinois 68.4134 6.3761
Kentucky 68.2774 2.4989
Iowa St 68.2216 3.7167
C Florida 68.1605 5.8141
Wake Forest 67.8176 3.4626
SMU 67.6837 2.8350
Connecticut 67.4923 4.2612
W Michigan 66.8491 4.4278
Washington St 66.4564 3.7721
Syracuse 66.2226 3.6492
Fresno St 64.9438 -0.2179
Purdue 64.8871 2.9452
UL Lafayette 64.8688 0.1519
Minnesota 64.4848 2.6184
Duke 64.3161 1.8063
Ohio 64.1430 4.9491
Hawaii 63.9176 3.0306
East Carolina 63.7741 3.7465
Florida Intl 63.6904 3.8616
Arkansas St 62.7528 8.0962
Maryland 62.5742 3.8572
Utah St 62.4945 3.4828
Mississippi 62.3774 2.8099
W Kentucky 62.2467 1.9859
Colorado 61.9892 8.5346
Miami Oh 61.4928 2.6848
Wyoming 61.4113 4.7350
UL Monroe 60.6858 3.3183
Texas-El Paso 60.3875 4.9353
San Jose St 59.5553 2.4089
Army 59.5435 6.8668
Bowling Green 58.8918 -0.0830
Rice 57.9504 3.8173
Marshall 57.3641 7.1546
Indiana 56.8157 4.4998
Kent 56.3743 3.5520
North Texas 55.6962 6.4932
Kansas 55.6416 3.6037
Ball St 55.6301 -1.2967
Troy St 55.5356 0.6312
C Michigan 54.1450 1.7818
E Michigan 53.8956 2.2007
Colorado St 52.6687 4.0977
Idaho 51.7263 1.5820
New Mexico St 50.7476 3.3253
Tulane 50.5409 -1.9175
Middle Tenn St 49.9612 1.9659
UAB 49.6614 2.7388
Buffalo 49.6490 5.1494
UNLV 46.8398 11.4448
Florida Atl 46.0702 0.0946
Memphis 42.6063 1.7320
New Mexico 41.0051 3.0764
Akron 39.7275 2.5988
Ratings include games of 1/9/12.
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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. |