Posted by uncleal on 1/17/2016 12:20:00 AM (view original):
1) You mention just raw numbers there. This (perhaps wrongly) indicates to me you're not considering normalization/log5 as much as you should, perhaps.
2) Don't expect HR numbers in Open Leagues to be anywhere near real life numbers. The use of deadball pitchers, especially 1908 Addie Joss, is highly stifling. I wouldn't bother drafting HR hitters in Open Leagues if I could help it. And in general, this means that power hitters will be depressed in all their stats.
3) Perhaps your players aren't suited for their ballpark.
4) Don't forget most real teams are well under 80M cap. Numbers will be worse at 80M than real life.
5) Consider checking performance histories.
6) Small sample size. (Even a full season is technically a small sample size. Variance happens.)
Your points are basically right uncleal, but he did write that the players in the league he is in are restricted to 1929-1979, so there are no deadball pitchers in the league.
In fact the pitchers from the 30s and 40s should be serving batting practice. Other than the strong pitchers of 1962-1979, there should not be much to worry about for hitters like Banks, Kaline etc.. And after all Banks, Kaline etc. put up their numbers in precisely those decades with those pitchers.
The 80 mil is a bigger issue - since a staff might be Koufax, Gibson, Spahn and someone else good but at a cheaper price. Facing those guys daily would drop anyone's average.
The ballpark is a big question - are you playing in the Astrodome? Dodger Stadium? Shea?
Still, it is true that it is frustrating here at WIS that after years of mentioning it we are still facing the underperformance of so many great modern era players, in many cases those we most want to play because we saw them in real life. Hard to be emotionally attached to how Ed Delahanty does.
But yes, do make sure you set your search criteria at the bottom of your Draft Center screen for "advanced" and then look closely at the + and the # stats and, as uncleal suggests, the performance histories. These are the first line of ways to check that you minimize the likelihood of dramatic underperformances. But they happen.