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Garlon · 04-03-2019, 07:07 PM

What Hornsby and Ruth do are one thing but what everyone does is another.

A better way to look at this might be (2B+3B)/(H - HR). Baseball Reference has some data for this after 1925. In Sportsman's Park this value for him was 28% and in other parks it was 26% for his career.

28/(28+26) = 28/54 = 51.85%. Hornsby happened to hit for a much higher average at home, so yes he had more 2B and 3B there but the rate at which he was getting them against his singles were really nearly the same as on the road.

The Park Factors are of course not based on these single players but all of the players.

The 1.000 2B and 3B factors really are getting modified by the BA factor though. Before I made the park factors I asked Markus if I raise BA by 5% will that raise 2B and 3B by 5% if I keep that at 1.000 and the answer was yes. So If I make the BA factor 1.05 and the 2B factor 1.05, then doubles are getting raised 1.05*1.05 = 1.1025 because these values will be getting multiplied together and the 2B factor will be saying that a larger percentage of the BA will be 2B.

So if you want a purely component set of ballpark factors it can be created and it will be a ton of work. I will see if I still have the one I made. My file used the component factors were available and for the very early years it was the quadratic factors since the data for components was not available.

I don't really believe that you can use a park to engineer a better ballclub. The effects of the parks are relatively small and even if you were to use them to your advantage you'd only be creating a great team when they played home games.

04-03-2019, 07:07 PM	#17
Garlon Hall Of Famer Join Date: Jun 2004 Posts: 4,255	What Hornsby and Ruth do are one thing but what everyone does is another. A better way to look at this might be (2B+3B)/(H - HR). Baseball Reference has some data for this after 1925. In Sportsman's Park this value for him was 28% and in other parks it was 26% for his career. 28/(28+26) = 28/54 = 51.85%. Hornsby happened to hit for a much higher average at home, so yes he had more 2B and 3B there but the rate at which he was getting them against his singles were really nearly the same as on the road. The Park Factors are of course not based on these single players but all of the players. The 1.000 2B and 3B factors really are getting modified by the BA factor though. Before I made the park factors I asked Markus if I raise BA by 5% will that raise 2B and 3B by 5% if I keep that at 1.000 and the answer was yes. So If I make the BA factor 1.05 and the 2B factor 1.05, then doubles are getting raised 1.05*1.05 = 1.1025 because these values will be getting multiplied together and the 2B factor will be saying that a larger percentage of the BA will be 2B. So if you want a purely component set of ballpark factors it can be created and it will be a ton of work. I will see if I still have the one I made. My file used the component factors were available and for the very early years it was the quadratic factors since the data for components was not available. I don't really believe that you can use a park to engineer a better ballclub. The effects of the parks are relatively small and even if you were to use them to your advantage you'd only be creating a great team when they played home games.