No, the tests I’ve conducted are primarily with $80 caps. As caps increase, the gap would likely increase (virtually no effect at $80m may have a slightly higher effect at $120, and so on. But I also think that as the cap increases there’s an even more chance of “bad luck” on any given outing So it makes testing for “fatigue” more difficult. In the variable cap, where offenses are stacked, its hard to know what is fatigue, vs what’s the effect of just facing a .350/.470/.560 lineup.
I’m not a math wiz like my brother, but here are some stats/numbers he’s compiled regarding fatigue. if a pitcher starting had a line of .220oav/2.00bb9/1.0100whip, at 96% he’d be starting with a line of .224oav/2.08bb9/1.0129whip...or 3 extra baserunners per 1000PA. Over the course of 2-4 seasons, you may see that whip jump to 1.02.
im currently running a fatigue test team, with Scherzer, Santana, and Cole as my 3 starters, all pitching at 70%-75% right now. The big drop is after you hit sub 80% and then again after 75%. But between 80-99, there’s not much of a decline depending on the pitchers you start with. The better they are to start, the less of a decline they will have.
8/6/2020 12:30 PM (edited)