
Question about Player Ratings and ZiPS
I have a question about how the developers implement ZiPS projections in ratings generation. Here's what I understand so far:
1. ZiPS projections are NOT park-neutral
2. ZiPS projections form the baseline for in-game ratings
3. The simulation engine is essentially a random number generator, weighted by player ratings
4. The simulation engine is also weighted by the current ballpark
What I want to know: do the player ratings use a park-adjusted version of ZiPS? Because, if not, that would have a drastic effect on the ratings for Rockies hitters and pitchers. To illustrate:
Suppose the "Stuff" rating corresponds roughly to:
70 ~ 10.0 K/9
65 ~ 9.5 K/9
60 ~ 9.0 K/9
55 ~ 8.0 K/9
etc.
In game, Jon Gray has a 60 Stuff Rating. ZiPS projects him have a ~9.0 K/9, including Coors Field. Meaning, ZiPS thinks his park-neutral, true-talent strikeout rate is nearly 10 K/9 (or a 70 rating). Since Jon only gets a 60, when the game actually simulates, his strikeout rate is usually considerably less than 9.0 K/9, because of Coors Field.
I would love to hear from the developers on this issue, and would hope there's a good way it could be resolved so my Rockies playthroughs don't involve an offense scoring 7 runs a game, but a team ERA in the high 5's. Even though the net effect means the Rockies win as many games as expected, the splits are more extreme than in real life.
Last edited by hjrrockies; 03-20-2017 at 09:42 PM.
Reason: bad title
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