The 2018 Pod Projections are now available! For the first time, the package includes NFBC ADP, along with all historical Pod-developed xMetrics. My projections are based on the methodology shared in my eBook Projecting X 2.0, and the process continues to evolve and improve (thanks Statcast!).
2018 Pod Projections Index:
Shohei Ohtani
I’ve been prepping for two AL-only leagues, so the today’s thoughts only involve mainly AL hitters but can be extended to either league. While working on my evaluations here are some observations.
Create a plan for the injured X-factors
The two hitters who could carry a fantasy team, if healthy, are Michael Brantley and Miguel Cabrera. If (BIG IF) they get a full season of healthy plate appearances, I’d not be surprised if they were top-20 hitters. Owners aren’t showing a ton of faith since Cabrera’s ADP is at 95 and Brantley’s at 245.
No one knows for sure how they’ll perform so owners need to know before the draft where they feel they can gamble on rostering them. Owners need to make this decision ahead of time, not on the fly in a draft or auction. Come up with a plan you can live with and stick to it. Their evaluations can be adjusted as detailed reports become available from spring training on their health.
Today marks the end of xBABIP week, after I shared and discussed 11 hitters potentially due for a BABIP surge and 10 hitters at risk of dramatic decline over the last two days. Today I’ll check in on hitters that at first glance, wouldn’t appear to be far off from their xBABIP marks, while the surgers and decliners list were quite a bit more obvious. If you posted a .230 BABIP in 2017, you’re probably going to find yourself on a potential surger list, while a .380 BABIP is likely going to get you onto the decliner list.
Yesterday, I used my xBABIP equation to identify and discuss 11 hitters who might be in for a BABIP surge this season. Today, I’ll move on to the other side of the ledger — those hitters whose xBABIP marks were significantly below their actual BABIP marks, suggesting serious downside this year.
A year ago, I introduced the latest and greatest version of my hitter xBABIP equation, this time incorporating shift data. Even though it was leaps ahead of any previous iterations and attempts at an xBABIP equation, it still only resulted in an adjusted R-squared of 0.5377. There’s still a whole lot more work to be done here! I would have liked to spend some time doing more research in the hopes of unveiling a further improved equation before the season begins, but alas, I haven’t had the time.
Two weeks ago I wrote about what I call “Peak Angles” for batters. That is the angle at which they produce the highest ratio of high exit velocity to low exit velocity batted balls. The working theory is that this angle roughly correlates to swing plane, and when you know swing plane you might be able to work out valuable information. For example, you might be able to gain insight on batter versus pitcher match-ups by comparing the average pitch plane to the average bat plane. There are other factors involved, obviously, like contact skill and plate discipline, but swing plane could prove to be valuable in the long haul.
Over the past two weeks this line of thinking brought me to two different lines of inquiry. First, can you use the “Peak Angles Exit Velocity” to predict the maximum effective angle for a batter? Second, how do the most valuable launch angles and exit velocities age over time? Read the rest of this entry »
Eric and Kiley have graciously taken the time to give us some of the best prospect content on the net, but today as prospect week continues I’ll provide a quick fantasy spin for each of the 2018 Top 100 prospects. The goal here is simply to each prospect’s grades and scouting reports and then translate those skills into “what could be” for fantasy context (for example where “upside” might represent an 80%+ outcome on a prospect’s potential).
With prospect week happening on the main website, I’m going to look at the hitting prospects ranked by their NFBC ADP (average draft position). This will be the batter’s value just in redraft leagues, not in keeper or dynasty leagues. I’ve included the player’s average, low, and high ADP values along with their Fangraphs prospect ranking.
Ronald Acuna (133 ADP, 88 min, 207 max, #2 prospect)
As the first rookie hitter off the board, his price is just a little too high for me considering the options available after him. He’s a talented ball player who is consistently ranked as either the #1 or #2 prospect in the game. He’s going to be good but how good in 2018 is the question. I have two reservations about him.
First, the no league has had a chance to adapt to his weaknesses and then have Acuna adapt back. Even pitchers found Mike Trout’s “weakness” and he had to adapt. Acuna will need to also. The question will be when the adaptation will occur and how long will it take. Will it happen in the minors and take a couple months? Or will happen in the big leagues and only be a week or two. This adjustment time could really frustrate owners.
Yesterday, I began my discussion of another one of my xHR/FB rate equation’s components, FB Pull%, and shared the hitters who posted above average Brls/True FB and Avg FB Dist marks, but below average FB Pull% rates, hinting at upside if a change in approach is made. Today, I’m going to check in on the hitters who posted below average Brls/True FB and Avg FB Dist marks, but above average FB Pull% rates. These hitters are at greater risk of HR/FB rate regression given their heavy reliance on pulling their flies. If that skill erodes or approach is altered, there would be major downside.
It’s tough to create a perfectly balanced team on draft or auction day. Owners are feeling the push-and-pull of trying to balance all five categories in a roto league. Mid-draft, many owners decide to drop a category with the hope of finding the needed stats on the waiver wire. Knowing which stats can be found can be tricky. By looking back at last season’s Tout Wars leagues, a decent idea of available stats can be determined.
One feature of the OnRoto.com fantasy league website computes the league’s final standings using just the drafted teams (nine pitchers, 14 position players). I took these draft values and compared them to the actual final values for each of the four roto leagues (12-team AL and NL-only and the two 15-team mixed leagues).
Some specific notes on these leagues. First, they are deeper than most leagues so every player who might be good is already owned. As for the timing of the mixed draft (the other three were auctions) happened a few weeks before the other three. Additionally, only the 23-man rosters were used used for the projected standings. Each team had an additional five or six-person bench.
