The Sparse Impacts Model (SIM) is the second iteration of The Data Jocks’ NBA model. Some NBA models assign ratings to teams. An entirely different…
Sometimes terms and ideas in math can be quite a mouthful. We have things like endomorphisms and psedofunctors in category theory as well as homoscedasticity…
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…
It’s a fun argument, especially between fans of different teams, to determine the best college basketball conference. I love this topic of conversation for two…
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…
Nearly every data scientist or sports analyst has learned a painful first-hand lesson about data leakage. Let me paint a picture. You come up with…
Development of a page rank sports ranking system is not a new idea. In fact, it gets to the heart of a central question in…
Talking about a bad NBA Player is kind of a weird thing. Even the worst NBA player of all time is among the best basketball…
Fantasy football is all about predicting how well players are going to do in the future. Using red zone targets is a common tool that…