How to best make sense of the recent proliferation of information on minor league hitters, specifically power metrics? This is a question I’ve been struggling with in the last few weeks/months (does anyone keep track of time anymore?) regarding minor league fly ball distance, exit velocity, and exit velocity on

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

  Jake, Shelly, and Jordan review the latest news around the league, dive into the catcher rankings and answer some listener Q’s Catchers: Overrated: Jorge Alfaro Joey Bart Wilson Ramos Underrated: Sal Perez Danny Jansen Sean Murphy Poised to rise: Sam Huff Francisco Alvarez Tyler Stephenson Favorite Catching Prospect: Ivan

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

Our ranks are based on peak MLB wOBA translations for minor leaguers. Peak MLB wOBA is 2019 minor league wOBA adjusted for aging and league difficulty. For example, say a 20-year-old posts a .400 wOBA in the Triple-A International League in 2019. Adjusted for league difficulty, this performance is equivalent

Background The Dynasty Guru updates its peak performance leaderboards weekly. View the latest update here (updated through June 13th). The leaderboards present peak MLB wOBA for all players, minor and major leaguers. Peak MLB wOBA takes 2019 minor league wOBA and adjusts it downward to an MLB baseline (for example, a .400

The Dynasty Guru updates its peak performance leaderboards weekly. View the latest update here, updated through last week’s games.