Two Statistical Algorithms for Ranking College Football Teams

Dr. Doug Frank
Associate Professor
Mathematics Department

The talk concerns using team records and schedules to rank teams in the order of strength as measured by a probability. The only subjective assumption is that the better team should win the game.

We examine the goodness of the methods in a randomly chosen situation with rank correlation.  We also examine the goodness by the top 3 teams chosen. Finally we apply the best method to give a current ranking of the top 25 division one football teams.

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