On Quantifying the Topsy-Turvyness of a College
Football Season: Understanding the TT factor

Autar Kaw
December 21, 2007
Understanding the TT factor                                                      Page   1   2   3   4    

What is the TT factor?
The TT factor is a simple way to measure the topsy-turvyness of the college
football season.  There are two factors:
Week TT factor: It  is a measure of the topsy-turvyness from week to week.
Season TT factor: It is a measure of the topsy-turvyness of the season so far.

How is the Week TT factor calculated?
The method to find the Week TT Factor is based on comparing the AP poll
rankings of schools from the current week to that of the previous week.  The
difference in the rankings of each school in the top 25 from the current week to
the previous week is squared.  All the squares of the differences in the rankings
are added together.  A square root of the resulting number is taken and
multiplied by 4.  The only reason why the number is multiplied by 4 is to let the TT
factor have a better scale - similar to the quarterback ratings.

How is the Season TT factor calculated?
The Season TT factor is calculated after each week to gage how topsy-turvy the
season has been so far.  The Season TT factor is calculated using weighted
averages of the Week TT factors.  As the season progresses, the Week TT factors
are given more weight in the calculation of the Season TT factor because toward
the end of the season, an upset of a ranked team is more topsy-turvy than an
upset in the beginning of the season when the strength of a ranked team is less
established.  The weight given to each Week TT factor in the Season TT factor
formula is equal to 1+ 1/10 x Week number of the season.  For example, the
weight given to the Week TT factor of fourth week is 1+1/10x4=1.4.   

Some statisticians may question the reasoning behind the weighted average.  For
them the difference between a Season TT factor with and without weight is
shown not to be significant as given in the table below.












Why are the differences in rankings squared in the calculation of the TT factor?
The reason for squaring the difference is because losses such as those of No. 5
Michigan to an unranked team should be weighed higher than a case of a No. 2
team losing to a No. 4 team.  Also, the difference squared is always a positive
number.

How is the Week TT factor calculated if a team was unranked in the previous
week?
A team that was unranked in the previous week and gets ranked in the current
week is assumed as being the No. 26 team in the previous week.  A higher
number is not used to avoid over-inflating the TT factor.

What is the highest possible Week TT factor?
The highest possible Week TT factor would be if all the ranked teams from the
previous week dropped from the rankings.  The highest possible Week TT factor is
approximately 300 (actual value is 297.3214).

What is the lowest possible Week TT factor?  
The lowest possible Week TT factor would be if all the rankings stayed unchanged
from the previous week.  Since in this case, the difference in ranking would be
zero for all teams, the lowest possible Week TT factor is zero.

What is the significance of TT factor of 91 or more?
The average Week TT factor for 2002-2007 seasons is 68 and the standard
deviation is 23.  So, one standard deviation more than the average TT factor is
68+23=91.

What is the significance of TT factor of 45 or less?
The average Week TT factor for 2002-2007 seasons is 68 and the standard
deviation is 23.  So, one standard deviation less than the average TT factor is
68-23=45.

Next: The TT factors for the 2007 college football season
Season
Season TT factor with
weights
Season TT factor
without weights
2007
82
83
2006
63
63
2005
69
71
2004
55
55
2003
76
76
2002
70
67