Let’s play a game: what do Brian Dozier, Rougned Odor, Andrelton Simmons, Jonathan Schoop, Jose Ramirez, Paul Dejong, Max Kepler, Travis Shaw, Randal Grichuk, and Sal Perez have in common?
This is the latest article in our Scouting the Stat Line series, following last week’s update on boom-bust prospects. Click here for our updated leaderboard of peak MLB wOBA equivalency for 2019 minor league performance (updated August 3rd). These leaderboards “translate” 2019 minor league statistics to peak MLB statistics.
Process-oriented fantasy baseballers, aka Camp Chris Archer, obsess over things like K%-BB%, groundball %, SIERA, xFIP, velocity, and spin rates. Camp Chris Archer particularly likes to focus on strikeout and walk rates in small samples to find underperformers and breakouts. This is because walk and strikeout rates become 50% stable
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
Scouting the Stat Line — Guessing the Mid-Season Market Value of Some of 2019’s Fast-Starting Prospects
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 baseline.
One month of baseball is in the book; enough for walks and strikeouts to become 50% reliable for pitchers, or at least 50% reliable indicator of past talent. As Eno Sarris highlighted in his recent starting pitcher rankings update, velocity, and strikeout minus walk rate are two indicators fantasy baseballers
Top 50 Stats-Only Offensive Prospects using The Dynasty Guru’s New Sortable MLB Equivalency Leaderboards
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
See an introduction for the MLB equivalency calculator for translating minor league statistics to major league statistics here. See an introduction for the BABIP-adjuster in “Scouting the Stat Line – Accounting for BABIP Luck.” To use the MLB equivalency calculator and BABIP-adjuster, click this link or enter data directly into
Making sense of minor league statistics is hard. One has to be very familiar with historical performances in different leagues, and how performance evolves after leagues change, to form an intuitive expectation of how minor league performance translates to the MLB level. Major league equivalencies (MLEs) make interpreting minor league
Getting Practical Throughout this four–part aging series, my editor has begged me to get my head out of the clouds in considering aging, asking me to move beyond a research mindset to make some actual, tangible predictions that can help readers win their fantasy leagues in 2019 and beyond. I’ve