[chucksabr]

The 3-Year Calc function averages the season at hand with the two surrounding seasons, double-weighting the current season. To wit, from the manual:

If you are playing in 3-yr recalc mode in 1988, for example, then player ratings will be based on 1987+1988+1989 stats. If you are playing in 3-yr recalc mode with "double-weight" in 1988, then player ratings will be based on 1987+1988+1988+1989 stats.

Which I assume they divide by four.

This makes sense if you have the totally clean situation of looking at a player's year when they also played the prior and following year. But as we all know, there are many player-seasons that don't comport to that.

So how does OOTP treat the exceptions? Let's game out the 1988 example above for these different scenarios. What does OOTP do when it comes to:

• A player's rookie season? Do they double weight the current season and add in the following season once, e.g., 1988+1988+1989 divided by three?
• A player's final season? Same basic question, do they double weight the current season and add in the prior season once, e.g., 1987+1988+1988 divided by three?
• A player's missing season? Suppose the player in the example played in 1987 and 1988, skipped 1989, and played 1990. Do they just switch out the recalc to be 1987+1988+1988+1990 divided by four? Or do they assign a cipher/replacement value to 1989, which wouldn't be played, and recalc based on that? One tricky exception might be when a player has several missing seasons, such as Steve Avery between 1999 and 2003. Or, do they treat seasons adjacent to missing seasons as though they are rookie seasons or final seasons? (Same question when it comes to a player playing 1986, off in 1987, playing 1988, off in 1989, playing 1990—is it 1986+1988+1988+1990, or do they have cipher values for 1987 and 1989?)
• A single-season player? There is no prior or following season to average with, so do they just take straight average? (Sure, majority of these guys were cup of coffee guys so it hardly matters, but some weren't, like, tragically, Ken Hubbs.)

Appreciate the input, thanks.