Bassett Football Model

The Bassett football model is a system for ranking the relative strengths of football teams. A key feature of this model is that it recognizes that if two teams could play more than once the same team would not always win (there is an element of chance involved). The system is based on a simple model of a football game. For a given match-up of two teams, a number of model games are simulated by a computer and the average scores and the percentage of times each team wins is computed. Each week during the football season the best fit of offensive and defensive strengths is found for each team consistent with the actual scores. I do include considerations for home field advantage and for the possibility that teams may score less than expected in a blow-out if they choose to run out time instead of score more points in the latter part of a game.

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The purpose of this football web page is to provide an unbiased analysis of the teams: how they compare with each other and what sort of results to expect from upcoming games. It is not my intention, however, to encourage gambling with this information. I have purposely presented the information in a way that will minimize its usefulness in this regard while still providing useful entertainment, etc. Comments on how to avoid the misuse of these web pages for gambling are most welcome.

Enjoy!

2017 College Football Forecast (NCAA Div IA & IAA)

Bassett Model rankings:

The Stephenson Earned Rank shows what a team has earned from its wins. It ranks by how much better a given team's winning record is when compared against how all other teams would have faired if they had played the same schedule. (Available after the 5th week in the season.) The Power Rankings measure the strength of each team by how well they have played on average, going by point performance. The Current Model Power Rankings are the best indicator of how well a team will play in the future.

9 Jan 2018: Stephenson Earned Rank (NCAA Div I & IAA)
(Team wins subtracted by average number of wins if all other teams played their schedule as simulated by the Bassett Football Model)

9 Jan 2018: Average Model Power Rankings (NCAA Div I & IAA)
(average power ranking for entire season)

9 Jan 2018: Current Model Power Rankings (NCAA Div I & IAA)
(power ranking at final week of the season)

2017 Model Performance: 

All Div I games               forecast probabilities
                 50-59%  60-69%  70-79%  80-89%  90-99%    100%     all
total games:        164     727     164     236     212       0    1503
number right:        81     478     135     203     198       0    1095
number expected:   90.0   473.6   122.2   203.0   198.5     0.0  1087.2
right/expected:    0.90    1.01    1.10    1.00    1.00    0.00    1.01

Breakdown by Conference and Division:
Conference games              forecast probabilities
                 50-59%  60-69%  70-79%  80-89%  90-99%    100%     all
total games:         97     459     114     172     166       0    1008
number right:        45     286      88     148     153       0     720
number expected:   53.2   298.7    85.3   148.6   155.5     0.0   741.4
right/expected:    0.85    0.96    1.03    1.00    0.98    0.00    0.97

Non-Conference games          forecast probabilities
                 50-59%  60-69%  70-79%  80-89%  90-99%    100%     all
total games:         54     214      35      54      40       0     397
number right:        31     146      32      47      39       0     295
number expected:   29.7   139.6    25.9    46.0    37.3     0.0   278.4
right/expected:    1.04    1.05    1.23    1.02    1.05    0.00    1.06

Non-Division games            forecast probabilities
                 50-59%  60-69%  70-79%  80-89%  90-99%    100%     all
total games:         13      54      15      10       6       0      98
number right:         5      46      15       8       6       0      80
number expected:    7.1    35.3    11.0     8.4     5.7     0.0    67.4
right/expected:    0.71    1.30    1.37    0.95    1.05    0.00    1.19

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)

Past Seasons:

2017 NFL Forecast

10 Mar 2018: Average model rankings (NFL) (average rank over entire season)

10 Mar 2018: Current model rankings (NFL) (rank at final week in the season)

2017 Model Performance: 

All games                     forecast probabilities
                 50-59%  60-69%  70-79%  80-89%  90-99%    100%     all
total games:         39     165      36      27       0       0     267
number right:        22     101      27      23       0       0     173
number expected:   21.4   103.2    26.7    22.6     0.0     0.0   173.9
right/expected:    1.03    0.98    1.01    1.02    0.00    0.00    1.00

Breakdown by Division and Conference:
Division games                forecast probabilities
                 50-59%  60-69%  70-79%  80-89%  90-99%    100%     all
total games:         16      55      16      10       0       0      97
number right:         9      38      11       9       0       0      67
number expected:    8.6    34.6    11.8     8.4     0.0     0.0    63.4
right/expected:    1.04    1.10    0.93    1.07    0.00    0.00    1.06

Non-Division games            forecast probabilities
                 50-59%  60-69%  70-79%  80-89%  90-99%    100%     all
total games:         11      75       8      11       0       0     105
number right:         7      44       6       9       0       0      66
number expected:    6.1    46.8     6.0     9.2     0.0     0.0    68.1
right/expected:    1.15    0.94    1.00    0.98    0.00    0.00    0.97

Non-Conference games          forecast probabilities
                 50-59%  60-69%  70-79%  80-89%  90-99%    100%     all
total games:         12      35      12       6       0       0      65
number right:         6      19      10       5       0       0      40
number expected:    6.7    21.8     9.0     5.0     0.0     0.0    42.4
right/expected:    0.90    0.87    1.12    1.00    0.00    0.00    0.94

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)

Past Seasons:

Links of interest

Please email comments or questions to bfm@BassettFootball.net