This course is designed to examine the merits of batter versus pitcher data, to understand when it might be useful and why, and to determine how we can improve BvP to make better predictions.
In this course, you’ll learn:
• Why BvP isn’t an “illusion”
• The shortcomings of BvP
• Ways BvP can be utilized in its current form
• A new type of batter versus pitcher data
Many stat nerds argue that the ups and downs we see in Batter vs Pitcher data are due solely to randomness. I actually don’t think BvP is an illusion—I do believe certain batters hit specific pitchers better than others, even relative to their talent—and I explain why I believe that to be the case here.
The question for us as daily fantasy baseball players isn’t just how well a particular stat explains a particular phenomenon, but how well we can use it to make better predictions. In this lesson, I examine how useful BvP is as a predictive tool.
As it stands now, BvP has some uses. These are the ways I utilize Batter vs Pitcher data right now.
While I don’t think current BvP data is useless or “wrong,” I do think it can be improved. In this lesson, I outline how to alter BvP to get around issues with sample size, ultimately increasing its predictive value.
Jonathan Bales is the founder of RotoAcademy and author of the Fantasy Sports for Smart People book series.