Thanks for your thoughtful comment. The rule I use is that the park factor dataset should match the player's dataset as closely as possible. This ensures that the player is always evaluated in his proper context. I don't buy the argument that single-year PF are subject to random fluctuation and so should not be used. I use single-year factors, apply them to a single year of player's data, but then I look at what these figure show over 3 or 4 year periods to get a guage on how things are going.
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