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

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

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

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. At the beginning of May, TDG reviewed April performances for infielders,

The Dynasty Guru updates its peak performance leaderboards weekly. View the latest update here, updated through last week’s games. The leaderboards present peak MLB wOBA for all players, minor and major leaguers. Peak MLB wOBA captures league difficulty, adjusting minor league performance from each league to the same major league

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

In early April, The Dynasty Guru released a tool for translating minor league statistics to MLB equivalent statistics, also demonstrating their predictive validity for projecting 2019 performance. In March, we released a four–part aging curves series leveraging a new twist on the delta method. Now, we’ve combined those two projects to

With many future first base prospects currently playing at other positions, first base is shallower than expected. Due to the high hitting bar for first base prospects, they have a high failure rate. Nevertheless, first base prospects almost universally can hit for power, and occasionally develop into fantasy studs. The