Posted by mildnhazy on 8/6/2020 5:05:00 PM (view original):
I'm no statistician but I imagine you would need a lot of data to make a valid conclusion. And you would also need to control for variables such as opponent and park etc.....
I'm at work, so don't have time for a full reply, but I have data (in the form of spreadsheets and a private forum with data dumps of full game logs) on pitching fatigue from upwards of 600 teams and close to a dozen leagues designed around testing fatigue. I'm still running a number of teams to continue gathering data. Aside from the data component, it's also that there's so many different types (pitch-based, in-game, appearance, early-season) of fatigue that come into play, so trying to parse those out and their effects increases the difficulty of just parsing out effects of fatigue in general. Right now I'm focused on grabbing data to help differentiate appearance and pitch-based fatigue. In-game is well understood because of live play and being able to see it displayed, though it is often maligned more than necessary.
There is some theorized connections to in-game fatigue and the pitchers starting fatigue level (whether pitch-based or appearance-based), as well as IP/G components of the effect of appearance fatigue (possibly why it's harder to get 110 quality games out of Mike Marshall than out of Silver King) -- though I don't think the data supports the former, and it looks like a maybe on the latter just eyeballing what I have now. I have general observations and a handful of theories, but I still don't quite have the quantity of data I want to be able to form any conclusions and I haven't even begun to do anything with the data I have yet; other than post single-anecdotal examples here and there in support of a couple of the theories in the forums.
Once I get enough data (and I've posted in the forums asking people for links to teams and leagues I can try to pull additional data from), I plan on posting full charts of the effects, similarly as with the ballpark effects calculator, which I'm still trying to put together in-between work tasks.
But yeah, in short, regardless of cap, at 96% fatigue, the effect is minimal enough to not really be noticeable over a full season (and up to four depending on how many IP/162 the pitcher has), let alone a single game. If they lost at 96%, the probably would've lost at 100%, as well, all things considered, especially the luck factor -- which is much larger than most realize.
8/6/2020 7:26 PM (edited)