It was a wild weekend of college baseball and the D1 Rerun is here to help sum it all up. Let's go! This was the most entertaining series of the weekend as LSU gets the sweep of UTSA, but it did not come easily, it took a couple of wild extra inning comebacks to get... Continue Reading →
There haven't been many college pitchers more productive than Mitch Myers in the season's early going. The University of Pittsburgh's Friday night starter, Myers, has struck out 26 hitters with just four walks over his first three starts. Combined with his strong work before the 2020 season shut down, the junior right-hander has tossed 40... Continue Reading →
Division 1 Baseball finally started up again after almost a year break, with the last game being on March 12, 2020. This post will show the last pitch thrown over some of the D1 Conferences. The 4 main Conferences that BaseballCloud has pitch data from last year were: The ACC, Pac-12, SEC, and Sunbelt. I... Continue Reading →
College baseball is just hours away after a near year-long hiatus. Fans are of course excited, but coaches have been dealing with COVID-19 protocols, quarantine policies, and testing results for the past five months; so they’re also itching to start playing games that actually matter. Some schools unfortunately won’t get to start their season until... Continue Reading →
Last night a big update was made to the Batted Ball tab on player profiles for BCTeam! After some time of just showing average exit velocity, we have added six additional dropdown options to the Heat Map visual for both pitchers and hitters. Each of these metrics will be broken down in this blog. Average... Continue Reading →
Continuing down the unbeaten path of draft models; the last version of this was less than a week ago when I discussed a tricky metric in vertical approach angle. This time I'll be going over a rather broad pool of data. Batted ball profiles can be as simple as exit velocity and launch angle, or... Continue Reading →
One of the more common terms used in the analytics community is 'model'. Whether it’s a model built to predict how much a specific metric can predict the future BABIP of a player, or looking at the best ways to predict run production; all models have one thing in common, using data to create a... Continue Reading →
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