In my league, nobody finishes near the top of the standings without more or less getting 162 games per position. Knowing how a certain player got to 650 PA is a big deal in evaluating what someone’s counting stats actually mean.

Alex Gordon bats leadoff, so he reached 690 PA in “only” 151 games. That means for the other 11 games, players in a standard 5×5 league can accumulate R, RBI, SB, and HR for “free” the rest of the time. Depending on the league, you can replace him with WIll Venable (below replacement level based on your SGP levels), and get another 4 RBI, 5 R, 1.5 SB, and 1 HR out of Gordon that way.

It would be a great help to get a games projection.

I think it’s best to get an idea of the most likely projection for each individual player instead of each individual team, or the league as a whole. Let’s say hypothetically one player from each team misses 20 starts from a freak injury. We don’t know who it will be, so we can take off a handful of starts from each pitcher to account for it. Or we can make a prediction for each player assuming they are not the one to suffer the freak injury, which allows us to maximize the amount of pitchers with accurate projections, because the guy who misses 20 games is going to be wrong anyway so being a little bit more wrong is insignificant. 4 good playing time projections and one really bad one v/s 4 mediocre playing time projections and one really bad one. It’s not that black and white in real life but is still the better approach, in my opinion. And that leads to over-estimating the amount of GS, IP, and ABs if you sum up the projections.