2020 Week 16 (17-19 Dec) Results for College Football Division IA & IAA

prob rnk winning_team        actual pred    rnk losing_team         actual pred

 91%   9 Cincinnati              27 31.6,    59 Tulsa                   24 12.9
 90%   1 Alabama                 52 48.4,     8 Florida                 46 26.9
 89%   2 Ohio State              22 39.5,    26 Northwestern            10 18.7
 88%  32 Penn State              56 36.0,    85 Illinois                21 19.0
 86%  13 Wisconsin               20 34.9,    46 Minnesota               17 16.8
 82%  11 Texas A&M               34 31.4,    49 Tennessee               13 21.6
 71%  21 Utah                    45 36.3,    43 Washington State        28 23.0
 67%   6 Oklahoma                27 37.0,    14 Iowa State              21 30.6
 67%   3 Clemson                 34 36.6,     5 Notre Dame              10 29.1
 66%  31 Louisiana State         53 42.1,    30 Mississippi             48 34.7
 55%  33 Arizona State           46 31.1,    53 Oregon State            33 30.6
 54%  57 Nebraska                28 29.7,    64 Rutgers                 21 29.2

 46%  56 Mississippi State       51 23.9,    38 Missouri                32 24.5
 44%  82 Army                    10 19.2,    58 Air Force                7 20.2
 34%  81 San Jose State          34 26.6,    47 Boise State             20 33.3
 34%  48 Stanford                48 29.2,    34 California - Los Angel  47 33.4
 34%  22 Oregon                  31 29.6,    18 Southern California     24 34.5
 33%  87 Alabama - Birmingham    22 15.7,    77 Marshall                13 24.2
 23%  94 Ball State              38 30.3,    39 Buffalo                 28 41.3

  results by prob (number of games, actual/expected):
               50%-59%  60%-69%  70%-79%  80%-89%  90%-99%     100%
                4 0.92   7 0.65   2 0.68   5 1.15   1 1.10   0 0.00

  total results (num_games,num_right,expected,num_right/expected):  19  12  13.6 0.88

  actual/expected = 1 -- model right on
  actual/expected > 1 -- model probabilities too low (more wins than expected)
  actual/expected < 1 -- model probabilities too high (less wins than expected)

NOTE: exact predicted scores are not released until after game time.

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