What We Are


We are the data source for sports super-fans who are into the next generation of statistical analysis for professional sports.

If you're using old-fashioned analytics, you're already missing out on the next revolution of sports analytics: Teammate Analysis.

The analytical methodology behind our datasets is based on years of research in the well-founded field of mathematics call graph theory and when applied to humans and other living things is called Social Network Analysis.


What We Do


We create large datasets (with intermediary database tables that contain tens of millions of records) related to Major League Basebals but whose outputs are completely unlike anything you've ever seen before.

We have mined 101 years (1914 - 2015!) of history of U.S. professional baseball to bring you teammate connectivity data that isn't available anywhere else.

Check out our "Did you know . . . ?" page to see some of the results you could generate with our data that current baseball analysts haven't even thought of yet.


What We Provide


We provide datasets that contain many thousands of records that will show you for every season of every player since 1914, the running total of both ALL other players and UNIQUE other players each player has appeared with in every one of their MLB games.  Make sure to read the paragraph below (and the rest of our website) to learn why "connections to all other players" is important and "connections to unique other players" is even more important for improving on-field performance.  Our datasets are in ".csv" format so they are easily loaded into almost every brand of spreadsheet and database.

These datasets will allow you to find out results like: which MLB players have appeared on rosters with the greatest total number of all (or greatest total number of unique) other MLB players in the history of U.S. professional baseball?  Those players who appear with more other players have the greatest chance of playing with someone who has a skill to teach them.  Perhaps more importantly, those players who play with the most unique other players may be able to play with fewer total number of other players, but by playing with different players, increase their chances even more of playing with someone who has a skill to teach them.  Unfortunately, without our datasets, you won't even begin to think of asking questions like this one.  Once you start working with our data, however, you'll change the way you think of baseball analytics and start asking questions that no one else will even imagine!


Check out our "Sample Data" page to see exactly what our dataset records look like and how they can help you better understand how you can relate our player connectivity data to other baseball player performance measures and datasets.  You need to understand "teammate analysis" to even begin to find out important player preformance relationships like: which players are associated with the greatest improvement in their teammates after playing with them?  You can't do this type of analysis without "teammate analysis"!

Copyright 2015 Connectivity Analysis LLC (CA)

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