What’s up Dynastopians. We’re back! And if you’re anything like me, you’re kinda tired. I get it, and I see you. The world is moving very fast. So let’s slow it down and get to the obnoxiously long list of grown people who hit balls with sticks. Or throw balls

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!

In today’s dynasty landscape, many dynasty owners’ cornerstone players can be found on the grass, such as Juan Soto; Ronald Acuna, Jr.; Bryce Harper; and Mike Trout. Each season, we find players who bring value to our squads out of nowhere. Other times, there are players who do not provide

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 Roundtable is back and better than ever! This week, Phil, Ryan, and Bob talk you through some stretch run pickups to make in your dynasty leagues. Thanks for reading! Phil Barrington I wouldn’t recommend any guys I won’t add to my own teams, so these three guys have been

This prospect rankings article updates my offseason prospect projections piece, making use of my research on aging and the minor leagues featured at ‘Scout the Stat Line,’ a website Ross Jensen and I co-publish.

This article continues an annual series providing peak projections for prospects. The projections are derived from peak major league equivalencies that use my (Jordan’s) aging curves and league translations to convert every player’s statistics to the same peak MLB (American League) baseline, making it easier to compare players at different

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