Using analytics is far more complicated when trying to build predictive models for players. But for schools, it’s far less so. Albeit harder this year than most due to two conferences only playing themselves, and another basically cancelling the season; there are still historically-based and far less volatile metrics (like ELO) available to rank teams.... 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 →
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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