Posted by DoctorKz on 6/14/2021 6:08:00 PM (view original):
Posted by chargingryno on 6/14/2021 4:16:00 PM (view original):
Agreed a test league wouldn’t give 100% clarification, but similar to how contrarian’s twisl in regards to k’s and + plays, It may not solve it 100%, but definitely adds some clarity.
I would definitely be interested in a theme like that, as long as it was put together properly. Dodger stadium in the NL, exhibition stadium in the AL, see how hits add up over the course of the season. Not concrete, but 3888 games of data is always beneficial.
Exhibition Stadium is much different, very xbh friendly. I was thinking of a comparison of Dodger, Shea, and perhaps Network Associates... Qualcomm as a 4th, 6 of each, 1 per division?
I know many don't like an identical roster, they prefer to pick their own. Perhaps I just post some perimeters as to how they must draft, leave them to their own demise... how's about $90M cap, a team aggregate whip of 1.00 or less, a minimum of 1,250 innings to prevent fatigue spiral...
To test ballpark effects in a test league setup we’d need two test leagues each running the same roster. each league with two parks and setup with two of each park in each division. League one would have two parks that have different (opposite) 1B modifier, and identical XBH modifiers. League two would have same 1B modifier and different (opposite) XBH factor (pick 1, doubles or triples would be best).
Using the table linked previously, we can estimate the AVG and XBH rate in question for the hitters as a prediction towards the hypothesis by using the log5 formula with the ballpark modifiers for the hitters/pitchers chosen across the four ballparks for both theories (1B = 1B and 1B = hits).
Obviously, a little luck could swing some of the results, but over that many games we should be fairly close and see a result that gives us a solid indicator of which is correct.
Or, admin could give us both the exact effect modifier and where it falls in the tree...