fWAR calculations pt. 2

This is kind of a part two to my previous post. I ultimately wanted to see the data laid out in a graphic. So what I did was, I created a graph where the X axis was the change in WAR using Runs Prevented and the Y axis was the change in WAR using DRS. And this was the results:

Initially when I did it, it looks liked half the players would benefit regardless of what option used. Since I wasn’t certain of that I included a little part to figure it out. I took those who had generated greater than 0.0 for each version and then divided the length of each one by the total of my initial dataset. Not quite half benefited from each, and nearly a quarter benefited from both.

It’s still something wild to me that Nick Ahmed saw such a crazy jump… but equally as crazy to see Corey Seager drop so far for both.

It’s also wild to me, seeing it laid out like this, that dot in the top left quadrant. They gained 2.3 fWAR using DRS, yet lost 0.3 using Runs Prevented. Fortunately it was easy to find since it was one of the biggest jumps for at least one — it was 2017 Andrelton Simmons.

That’s all I have for now. Thanks for reading!