For years, analysts have talked about the “home run derby hangover”. This hangover manifests in derby contestants performing noticeably worse in the second half of…
In a recent article we posted, we talked about how to build a baseball Elo model and the ins and out of how that worked.…
We’ve discussed previously how to use Vegas data to build models for NFL games. Can we build a baseball Elo model using the same ideas?…
Sabermetrics and baseball analytics are all about questioning traditional wisdom with data. We challenge traditional wisdom, long held beliefs. This is precisely why sabermetrics are…
FIP in baseball is the result of a relatively new analytics push to separate pitcher impacts from defense impacts. FIP stands for Fielding Independent Pitching.…
All sports analytics tries to predict the true quality of a team. One of the simplest models to do this is the technique called Pythagorean…
The common wisdom is that great pitching beats great hitting. This line of thinking becomes especially true as the calendar turns towards October and the…
One of the most used statistics in baseball is ERA or earned run average. It is often used (along with WHIP) as a quick look…
In many real life applications – stock markets, weather modeling, and sales forecasting to name a few – data has a natural sequential ordering that…
One of the most fundamental statistical concepts is the idea of statistical significance. Statisticians learn how to conduct hypothesis tests to determine whether or not…