Quote:
Originally Posted by CBLCardinals
Great question.
The roster ratings are a blend of both Steamer and ZIPs projections. How ballparks come in to play….. I try to be cognizant of the extremes. For instance, Great American Ballpark is a launching pad for home runs, and a Flyball pitcher like Hunter Greene is projected to give up 1.5 HR/9 per ZIPs. I take his ballpark in to account and“boost up” his movement rating to try and compensate so he is not“double penalized”. His OOTP ratings will probably show something like 1.1 (or so) in HR/9, and he will probably ultimately in a season give up 1.3-1.5 HR/9 based on his ballpark. Hopefully that makes sense?
So again I import projections for thousands of players, and then try to calibrate ballpark extremes so the player is not either double rewarded or penalized.
It’s not perfect, but I’ve been very pleased with the statistical outcomes both macro and micro for the 2024 season.
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I appreciate the time and thoughtful response, and also for understanding that the question was not in any way a challenge or suggestion that there was some expectation or implied “correct” answer. This is something I have pondered when thinking about OOTP database creation, and I was curious to hear the feedback of someone else who seems likely to either have experience with the matter and /or interesting thoughts upon the matter. Two related notes (feedback certainly most welcomed, but expressly NOT expected):
1) Logically, I have always felt that the Live Start feature would stay more in the spirit of the initial projections if it updated ratings using available Rest-of-Season projections rather than the current method where the ratings basically become those of a single-season replay as the season progresses.
2) I have wondered if first-year development and aging should be disabled for the first season of a new current year save, since the projections upon which the player ratings are based are themselves for final statistics—and therefore include the projected effects of continuous development and aging through the entire season. On an anecdotal level, the top prospect “breakthrough” and older vet “collapse” frequencies always seem high in the first first season of such a save.
Again, thanks for your response to my personal question above here and, more broadly, for your generous contributions to this forum.