On this episode of the College Baseball Central Podcast, Joe Healy talks about the use of advanced data in college baseball with R.J. Anderson of CBS Sports and the DFA Podcast with Baseball Prospectus.
The use of advanced data in Major League Baseball, popularized and immortalized by the Oakland Athletics under Billy Beane, is far from a new phenomenon, but in college baseball, it’s something of a new frontier. Because college baseball is most often a non-revenue sport and the tools that track this type of data can be expensive, and also because it was unclear what the endgame could be for this data without the benefit of free player movement, data analysis has been slow to take hold at the college level.
But that might be changing. In a recent piece, R.J. writes about how Iowa and Missouri, in particular, are using tools most often found in the big leagues to try to get a leg up on the competition.
Among the topics discussed on this episode are:
- Where college baseball falls on the spectrum of effectively using advanced data analysis compared to their big league counterparts
- The endgame for college programs that are diving into data
- Any changes that the programs at Iowa and Missouri might have undergone to better take advantage of these tools
- Where the data movement in college baseball goes from here
Thanks for listening, everyone.