After assessing starting pitching the last couple of weeks (ERA, WHIP), today I turn my attention towards the hitting side. There are so many unknowns right now about the length of the upcoming season; possibilities include everything from no games, to a full 162-game season stretching until Christmas. With at bats & counting stats completely up in the air, evaluating hitters with rate stats makes sense. What are the best ones to use?

Please, blog, may I have some more?

Last week, I introduced the goal of this series: utilizing data visualization to try and narrow in on fantasy baseball insights. We looked at ERA across the draft, finding some potential values based on ADP. Today, we’ll take a closer look at Starting Pitcher WHIP by ADP.

To begin with, what’s the context in which we should gauge whether an SP’s WHIP actually helps our team? Here are WHIP trends over the last 5 years:

Please, blog, may I have some more?

There is a LOT of information available for fantasy owners to try and digest these days. New writers and podcasts emerge every day (over 500 different fantasy analysts by last count). New stats and ways of slicing and dicing existing data are constantly emerging. Don’t get me wrong – I love the latest Statcast research as much as the next guy. But fantasy writers often pile up the acronyms and exotic statistics, as if 2000 words on spin rate has inherent interest just because it’s in-depth. It can be hard to find actionable fantasy moves in a table with 10 varying components of xStats.

I’m kicking off a new series today, utilizing data visualization to try and narrow in on fantasy baseball insights. Good visualization helps you achieve your goals by channeling success onto your subconscious until your reality lines up with your drea….I’ve been watching too much late-night Tony Robbins. Good data visualization takes complex raw data and translates it into easily-understood, actionable images.

Please, blog, may I have some more?