Last week, I generated an expected home runs per fly ball measure (xHR/FB) for minor leaguers based on their average fly ball distance and average exit velocity. The logic is this: a minor leaguer can be expected to hit a certain number of home runs per fly ball given their
Wander Franco (Left photograph: Rob Tringali / MLB Photos via Getty Images); Julio Rodriguez (Right photograph: wv_power, The Official Instagram for the West Virginia Power) Over the past year, I’ve developed translations that convert minor league statistics to their equivalent MLB statistics. I’ve also built aging curves to project when
Each month, The Dynasty Guru will provide a prospect update, including notable performances (good and bad), assignments, promotions, trades, injuries, and suspensions. Most importantly, the monthly update will examine prospects with increasing and decreasing fantasy value, from the elite to the obscure.
Last Week, we began updating leaderboards that document the top minor league performances throughout the course of the year. Minor league performances are translated to projected offensive peaks of the players, based on data we have researched on aging curves and minor league level to MLB translations. We will update
MLB Equivalency and Aging Curves On Monday, the Dynasty Guru debuted The Dynasty Guru’s Sortable MLB Equivalency Leaderboard, which projects 2019 MLB performance using Jordan Rosenblum’s MLB Equivalency Calculator and his research on typical MLB aging curves. In his article, Jordan shares a list of the top 50 projected offensive
As the calendar approaches March, many dynasty leagues are preparing for first year player drafts. While the recently released 2019 Top 500 Fantasy Prospects includes the vast majority of first year player draft prospects, it may be difficult to separate such players from the pack. As such, these rankings specifically focus on