The Roundtable is back, baby! Back with a bang. To get that bang for your buck. Peruse at your leisure the boldest bold predictions we could conjure to help you politely crush your dynasty leagues this year. Thanks for reading and don’t forget to follow your favorite Guru’s on Twitter!

Whew. I can’t express how excited I am to share my Top 500 List for OBP dynasty leagues. It’s my first publicly available personal endeavor, so I’d be lying if I didn’t say there was a little apprehension. But only a little, and this won’t be my last Top 500

Hi and glad you clicked to see our top 500 dynasty players for the 2023 season. The list is designed for a daily 15-team league, a traditional 5×5 roto starting 2 catchers with Wins and Saves (no holds), and of course Batting Average. Enjoy!

The rankings continue! The Dynasty Gurus trudge forward with the next best group of outfielders today – those ranked from #21-#60. Let’s get right to it! 21. Seiya Suzuki, Chicago Cubs (Age: 28, Previous Rank: 47) Seiya Suzuki’s career stat line in 9 years of the Nippon Professional Baseball league

The Triple Play is back for a fifth season! This regular feature is broken down by senior writer Phil Barrington and he is joined by a rotating panel of some of the best Dynasty Baseball writers in the business. If you’re new to the Triple Play, this series breaks down

In this series, we highlight interesting high rising prospects, from the well-known to the lesser-known, based on our Peak Major League Equivalency projections.  Our approach is based entirely on statistical and trend analysis and we have developed an assortment of tools that can help you make dynasty baseball decisions. To

Scouting the Statline focuses on using aging curves and major league equivalencies to generate peak projections. Peak projections put all minor and major leaguers on equal footing for comparative purposes, allowing us to easily build data-based rankings and leaderboards.

Vidal Brujan (Photograph: Twitter, @vidalbrujan) This article provides peak MLB projections for prospects incorporating their MILB statistics through the games of June 7th.

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