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The PAX factors are derived from comparisons of the best drivers
in the different open SCCA classes in a selected series of events.
Thus a PAX factor is a sort of handicap with a PAX of 1.000 being
for the fastest class of cars (A-Modified). Let's look at an
example.
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To understand PAX factors consider what would happen if one of
the best drivers in the country practiced in three different cars,
which were prepared to the limit of the rules for their class and
then competed in each car on the same course. That driver would
achieve the raw times in an AM, SS, and HS car shown at the
right.
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Therefore the fastest car is the AM car and the slowest is the
HS car. If we were to divide the raw time for the fastest car (AM)
by the raw time for each car we would get the PAX Factor relative
to the fastest car as shown to the right.
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If we now MULTIPLE the raw time for each car by the PAX Factor
we will get the PAX Time for each car as shown to the
right.
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So, the PAX Time for each car is the same, which is what we
would expect if the same driver drove them with ample practice in
each car. But, what would happen if a different driver now drove
each car? The process is the same...MULTIPLE the Raw Time received
by each entrant by the PAX Factor for the car's class. Suppose the
results were as shown to the right.
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As you can see in this example the car actually winning the
class would be the HS car because the driver turned in Raw Time
which gave a PAX Time better than the others. The driver of the SS
and AM cars did not extract the same potential as predicted by the
PAX Factors which says they should have received faster Raw
Times.
Since it is not possible to get the same driver trained in the
best prepared cars in every class, PAX Factors are derived from
analyzing the results of top drivers in the best prepared cars in
several selected events across the country to try and determine the
predicted performance of fully prepared cars in a given
class.
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