Valen wrote:But in Strat the outcomes are more fixed.
I know we're revisiting an old discussion, and while I
generally agree with this, it all depends on what the intended meaning of "more" is. It's a very small distinction, but it's a distinction nonetheless.
I did not do a groundball/flyball team for 2013, but I do have an example from 2012. Here's the team:
http://onlinegames.strat-o-matic.com/team/1122832http://onlinegames.strat-o-matic.com/team/misc/1122832Before we get into it, here are some background notes. This used to work
much better in older sets. Unfortunately, the "Sim Misc" tabs are blank from 2001-2010. However, I used to try and
maximize the ratio by having the best GB pitchers and the best FB hitters and putting them in a park like the Cell, with a high HR rate and a very low single rate. The average ratio overall is generally 1.50 (60% ground balls, 40% fly balls, or 60/40= 1.50).
On my part this may have been part delusion, part confirmation bias, but in the end
Valen I believe is correct here, in saying that with pitchers, almost all things are equal (with regard to the GB/FB). However, with pitching, you get what you pay for. So better pitching (in terms of dollars spent) generally yield better overall results, because while the X chances are all the same across the board, the
results are not. It should also be noted that I asked Strat if singles are rated GB or FB, and the answer was that it was randomized. So my statement above, regarding having infielders with better ranges is probably wrong: a GB is a GB whether it's a ground out or a single randomized into the GB category.
Having conceded all that, a pitcher that has more singles on his card yields more GB, while a pitcher with more home runs yields more FB. A pitcher that has more double play chances (in 2012, Trevor Cahill had 12 vs LHB and 14 vs RHB) will have a better overall GB/FB ratio than someone who does not (Phil Hughes has 2 vs LHB and 0 vs RHB).
As an aside, that year Cahill had the best ratio with 1.69 (in this league he was 1.42). Hughes was among the worst with a 0.50 (in this league he was 1.04). So there is a forecasted outcome to be had, but the hairsplitting
might be too painful for the effort.
Now, with regard to hitters, this is MUCH MORE tangible. I would generally sift through 5-10 leagues looking for players with actual SOM Online GB/FB ratios of below one (rather than using ESPN). I would just go position by position, and eventually a lineup would form that wasn't a crazy $60 mil on offense type of situation, but one that would offer a few "value" propositions to keep the hitting salaries in the $50 mil range.
By doing this, you could lop 10 points off the expected ratio and get your offense closer to 50/50 rather than the usual 60/40.
Here's a 2011 team where I did the same thing:
http://onlinegames.strat-o-matic.com/team/810328http://onlinegames.strat-o-matic.com/team/misc/810328In both of these instances provided, my pitching was nearly 60/40. I can't remember if I targeted "GB" pitchers, or I "located" my lineup and then went with the best available pitching I could afford. Targeting "GB pitching" was probably futile if I did, but whatever I did, it obviously didn't hurt.
FWIW, I
was able to create offenses where the actual ratio was below one, but they're hard to find among the 50 teams I play each year.
A simpler proxy for the experiment would be a High Double Play Pitching/High Slugging Team in a High Home Run-Low Singles Park (using standard salary construction, ie $32 mil on pitching, as opposed to a $20 mil pitching team).
Thx to
Valen and
Barigood for getting me to get my geek on!