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
Yesterday, I compared my xBABIP to actual BABIP to identify eight hitters with significant BABIP upside this season. Today, I’ll check in on six of the biggest xBABIP outperformers from 2018. These guys are at serious risk of dramatic BABIP downside, which would pull down their batting averages without an improvement in strikeout rate and/or jump in home run rate.
While my xBABIP 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 BABIP marks. That’s precisely what I do to formulate my Pod Projections. One of the various ways to utilize xBABIP is to compare the hitter’s mark to his actual mark to determine how “real” the result was. Today, I’ll identify and discuss eight fantasy relevant hitters who posted xBABIP marks significantly higher than their actual marks, suggesting upside this season if they are able to maintain those underlying skills.
Every season, there’s another can’t-miss top prospect. This year, that honor has been bestowed upon Vladimir Guerrero Jr., who ranked third on last year’s list. Not only does he find himself atop the 2019 mountain, but he’s the only prospect graced with a 70 (out of 80) Future Value grade, which equates to a 5.0 to 7.0 WAR and a top 10 overall player. That’s pretty incredible. Essentially, Guerrero is expected to be elite, a near surefire superstar, and the hype has predictably spread to fantasy leagues.
After a nice response to the pitcher iteration, I’ve decided to put together a hitter version. OK, that’s total BS. I was always going to do a hitter one even if y’all had hated the pitcher one. If you missed the first piece last week, here’s what we’re doing: I’ve got seven hitter scenarios from last year that I’m going to overlay on this year’s ADP data to identify some potential gems. For some of the deeper categories, I added a few extra considerations.
I’m using the NFBC ADP (linked above) and set to 2/1/19 and Draft Championships.
Christian Yelich: Star-to-MVP Transformation (35+ ADP)
Yesterday, I compared batter HR/FB rates to my xHR/FB rates to identify nine 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. Today, I’ll check in on those hitters on the opposite end of the spectrum, with a list of six batters who overperformed their xHR/FB rates most. If the underlying skills driving the xHR/FB rates stick in 2019, these hitters are at serious risk of HR/FB rate regression.
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.
News broke on Friday that Francisco Lindor would be out seven to nine weeks with a strained calf. The reaction to the injury was swift. In NFBC’s Online Championship before the injury news, he had a 4.8 ADP in ten contests. In the two contests over the weekend, his ADP dropped to 16.5 after Jose Altuve, Javier Baez, Alex Bregman, and Trevor Story. So, is the drop deserved or did they drop him too far or not far enough? I’m going to fully breakdown how much I would change his value in a sample league.
With so many league variations, I need to pick a lane with his value adjustment. I going to take a 15-team roto league using AVG. For this league, I’ll use the Standing Gains Points (formulas in my book) as a shortcut to help determine his value and use couple tools to help speed along the process.
Injuries analysis is becoming a pain in the butt. First, MLB goes and changes the days missed from 15 to 10 thereby nullifying several projection models. And now they’ve gone and renamed the Disabled List the Injury List. I think of naming it the BDL (Broke D__k List). I’ve been waiting for a few more seasons of DL data to create a new formula which will become obsolete with the 12-day DL but why wait. I have two seasons of 10-day IL information to create a few comparisons, especially for pitchers.
While I’ve historically collected the data, Ryan Brock jumped in and completed the 2018 season. I’m not sure if I would have gotten to pulling it together because when I normally do it (post-season), I was finishing my book. I can’t thank Ryan enough.
Looking over the depth chart for the defending NL Central champion Milwaukee Brewers, one is reminded that Ryan Braun, 35 years old and entering his 13th major league season, still projects as the team’s starting left fielder. Some observers, perhaps even Brewers fans, might feel skeptical about Braun’s chances of a bounce-back season, considering how things have gone these last few years:
| Year | AVG | OBP | SLG | wOBA | wRC+ |
|---|---|---|---|---|---|
| 2016 | .305 | .365 | .538 | .378 | 134 |
| 2017 | .268 | .336 | .487 | .347 | 110 |
| 2018 | .254 | .313 | .469 | .330 | 105 |
Here we see steady decline in every category. After reviewing this table, it would be easy to conclude that age has caught up with Braun, that he will probably contribute nothing more than league average offense in 2019, and that the Brewers should perhaps even consider upgrading in left field. Read the rest of this entry »
