It’s Pod Projections time again, as the 2019 forecasts are now available and its forecasted player population keeps growing! As usual, I’ll dive into my projection methodology (detailed in Projecting X 2.0) by sharing my process on several hitters and pitchers.
2019 Pod Projection Index
Yusei Kikuchi
While my xHR/FB rate equation wasn’t developed to serve as a next season projection, you could certainly use it as a historical guide, just the way you would normally review actual HR/FB rate. That’s precisely what I do to formulate my Pod Projections. One of the various ways to utilize xHR/FB rate is to compare the hitter’s mark to his actual mark to determine how “real” the result was. Today, I’ll identify and discuss 9 hitters who posted xHR/FB rates significantly higher than their actual marks, suggesting upside this season if they are able to maintain those underlying skills.
Alas, it’s Pod Projections time, as the 2019 forecasts are now available! As usual, I’ll dive into my projection methodology (detailed in Projecting X 2.0) by sharing my process on several hitters and pitchers.
Let’s wrap up my 2018 Pod Projection reviews, ending with Tommy Pham. A surprise breakout in 2017, we didn’t truly know what we were going to get in 2018. A move to Tampa mid-season didn’t exactly benefit his offense as he merely went from one pitcher friendly park to another. Let’s find out how he ended up performing compared to my projection.
Shohei Ohtani was one of the most hyped rookies in recent memory. Fueling the excitement was the fact that he came over from Japan and he was a two-way player, both pitching and hitting, and doing each well…very well. Obviously, attempting to translate performance from a foreign league to MLB is difficult, and then you have to actually forecast the upcoming season, which is far tougher than a regular run of the mill projection for an MLB veteran.
Let’s return to reviewing my preseason Pod Projections, this time with Luis Castillo, a popular sleeper choice and breakout candidate, and for good reason. My original writeup is here.
Yesterday, I reviewed my stolen base upside guys, after comparing my Pod Projections to Steamer projections in the preseason. Today, I’ll review my downside guys. Let’s see how they performed.
Yesterday, I reviewed the first preseason Pod vs Steamer projections article, beginning with the hitters I projected for home run upside. Today, we’ll flip to the other side, as I review the home run downside guys. Hopefully I perform better than my upside guys!
A fun activity for me each preseason is comparing my Pod Projections to the Steamer projections. While the forecasts in various categories for most players are negligible, of course there are some that are wildly different. One comparison I made was looking at which hitters I projected for more homers than Steamer. However, rather than compare the raw home run total, which is greatly influenced by the at-bat projection, I computed each projection’s AB/HR ratio. So let’s find out how the guys I identified as having AB/HR upside performed.
As has now been an annual tradition, I published a series of Pod Projections before the season begin, and then compared my projection to the rest of the systems available on the player pages. We’ll start the reviews with Whit Merrifield, who came out of nowhere in 2017 to become a fantasy stud, swatting 19 homers and stealing 34 bases. Let’s see how he performed compared to my projection and the computer systems.
