r/sportsanalytics rules, stats, and what to post

This is a community for quantitative nerds who love sports. People share and discuss links about how data and analytics get used in sports of every kind, not just baseball. The people posting here care about the numbers, the methods, and the data behind the claims. The community says it has a preference for articles that show their work, especially ones that include links to their source data. So the room is full of people who want to dig into the how, not just read a hot take.

The best post here is an article or analysis that shows its work and links to its source data. If you built a sports analytics tool, the winning move is to share a real piece of analysis your tool made possible, with the method explained and the data linked. Write it like a mini research post: here is the question, here is the data, here is what I found, here is where you can check my work. That fits what the community asks for and it demonstrates your product without ever sounding like an ad.

Since no rules are published, the risk is not a named rule but missing what the community clearly values. The description says it has a preference for articles that show their work and include links to their source data. So a post that hides its method, shares a conclusion with no data behind it, or links to a page that never shows the analysis will likely fall flat. A product plug with no real analysis attached is the clearest way to waste your shot here.

This is one of the rare communities with no published rules at all, which means the description is doing all the work. And it does that job well, because the line about preferring articles that show their work and link their source data is the whole culture in one sentence. If your product can produce that kind of transparent analysis, you will fit right in.