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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