Re:

I think the key way to going about this is not to
look at what stats we have at our disposal and make a
formula, but rather to determine what the criteria for
good players and find statistics that can demonstrate
them.

Here is what we are looking for:
(averaged on a per
20 tossup basis)

Positives:
Points
contributed on tossups
Power Tossups
Points contributed
on
bonuses

Negatives:
Interrupts

Factors to control for:
Quality of opposition
(strength of schedule)
Quality of teammates (shadow
effect)
Difficulty of question sets played on
Tournament
format
Subject area

Things to discount:
Pickoffs,
bouncebacks, or whatever you call them

I would suggest
that getting an accurate statistical ranking of
players that controls for each of these factors within a
reasonable margin of error is probably too difficult to do.
At a minimum, it would require scorsheets from each
game, an analysis of the average per packet
score.

In my opinion, the requirements are too complex to
do this through statistical analysis. If somebody
can come up with a model for this, I'd be interested
in seeing it.

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