It’s prospect season (thank goodness, as nothing else is happening).  Nearly one year ago I borrowed from the great work by Eric and Kiley here and applied some fantasy context to their overall Top 100 prospect rankings from 2018.  We’ll do something similar for 2019, but before the full frenzy of this season’s prospect rankings reaches it’s peak, I thought it prudent to review prospect perceptions from this time last year to see if we can learn anything.

From last year’s post, the same purpose applies:

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).

For comparison, last year’s comments are at the top, followed by a value trend and general update on where things appear to be for each prospect heading into 2019.

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Introduction:

The catcher position in 2019 is the weakest offensive position in our beloved fantasy baseball competition. It is no secret. Every reasonably astute or semi-intelligent fantasy player is aware of this phenomenon. The more experienced competitor is also cognizant that the position has been getting even weaker over the past few seasons.

Unlike the middle infield positions which I have discussed here, it is clear that the catcher player pool demands a correction to account for “positional scarcity.” A boost is required to the otherwise dreadfully low values that the position would manufacture on its own.

This may be elementary to some, but the idea is as follows:

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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.

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Yesterday, I examined some hitters with the largest plate appearance projection discrepancies using five separate sources. Today, pitchers take center stage.

I’m using the projected playing times from FanGraphs Depth charts and four other sources. Again, I won’t name them as I don’t want to debate the merits of each. My goal is to just find and evaluate different takes on the same players.

The differences aren’t nearly as drastic as the hitters, especially for the top arms. Most of the major differences involve around unknown roles and injury risks. I listed the top-200 at the end while the values for free agents and foreign signings may be off or missing. I’m going to focus on the biggest differences in some top-ranked pitchers.

Ross Stripling
Range (Max-Min): 67
Average: 112
Standard Deviation: 33

I’m not surprised one bit on Stripling. Unless the Dodgers get hit with a ton of injuries to their starters, he’s going to begin the season as a reliever or in the minors. He’s got the talent to be a top-20 starter but the number of starts he’ll get is unknown. Owners can draft him and hope his talent forces the Dodgers hand. The other issue is that he’s on the Dodgers who manipulate their roster to give pitchers scheduled days off via demotions or “injuries”. Good luck guessing right with him.

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It is projection churning season and today, I’m going to investigate hitters in the top-200 who have the largest variation in projected plate appearances. I’m trying to see who seems off and any adjustments I’d make to their projections.

Normally, I just use a plate appearance average of several unique sources for my projections. I don’t have time to adjust each player. For now, I’m using five sources who constantly update their projected playing time. One is FanGraphs but I’m not going to reveal the other four as I don’t want to debate their merits. More importantly, it’s tough to know for sure who is wrong and who is right. In most instances, a reasonable explanation can be drawn for any total. Besides the players with the larger variation, I’ve included my top-300 hitters at the article’s end with their plate appearance differences.

Note: I ignored catchers and will look at them in detail at a later date.

Eloy Jimenez
Range: 336
Standard Deviation: 238
Average: 446

I’m not surprised with Jimenez being divisive. I sort of expected projections to have him being promoted either in mid-April (extra year of service) or early June (miss July two cutoff). One source was extremely low with a sub-300 value increasing the range. For me, I’d split the possible callup dates and go with a 525 plate appearance total and adjust it as more news becomes available.

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Last week, I uncovered potential undervalued speedsters by comparing the Steamer projections to the current NFBC ADP. Today, I will go through a similar exercise for power.

In 2018, just three players launched at least 40 round trippers (K Davis 48, J.D. Martinez 43, J Gallo 40). Eleven additional players smacked at least 35 dingers, and all together there were 25 players who amassed at least 30 homeruns. Let’s dive into the players with a HR projection of 25+.

For these draft value comparisons, I match:

• The player ranks as computed by the FanGraphs Auction Calculator with Steamer projections (standard NFBC 15 team roto league settings).
• The current NFBC ADP (of Draft Championship leagues from December 15, 2018 to present).

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I love the idea, almost to a fault, of taking one or two of the top 5 SPs in the first and/or second round. The reason I like getting these top arms is that they provide a ton of strikeouts with great ratios. This base in ratios allows me to ignore pitching for almost 10 rounds and then bottom feed. One problem I’ve run into with this strategy is that I won’t have this option available if I’m picking in a draft’s first few spots. I’m not passing on the five-category hitters and according to the current NFBC ADP (average draft position), the top Aces will be gone by the time my second pick comes around. If I’m forced into this situation, I’m considering going with the what I’ll call the “Streaming WHIP” plan.

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The 2018 season opened my eyes to the risk of young players losing playing time because of massive platoon splits. Usually, it’s the established major league veterans like Matt Adams who get platooned. Manual Margot was such a player who usually led off against lefties but was dropped in the batting order or even to the bench against righties. Those lost plate appearances can add up over the course of a season whittling away a hitter’s value. Today, I’m going focus the most talented hitters who are most like to be platooned.

For Tanner’s and my book, The Process, Steamer projections were kind enough to include every hitter’s projected OPS versus right and left-handed pitchers. From the book’s research, we found teams have historically started platooning hitters when one side of the platoon’s OPS drops below .650 and definitely at .600. Here are some the hitters who may end up in a platoon situation if their team decides to go that route. Besides the risk of sitting out games, some teams move these players up and down the lineup based platoon differences. I’m likely going to give some of these hitters a playing time adjustment.

Note: The projected platoon OPS are league and ballpark neutral and may seem off compared to the current projected OPS.

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What’s up, FanGraphs!  My name is Derek Carty, and I’m pumped to announce that my projection system, THE BAT, is back at FanGraphs for its second season!

If you’re into DFS, you may have heard of THE BAT.  I’ve been building this system for the past eight years, and 2019 will be the sixth season it’s been available publicly, first at Fantasy Insiders and now at RotoGrinders.

Last year I brought THE BAT season-long projections to FanGraphs, a recent article by Ariel Cohen (which was nominated for FSTA Article of the Year—congrats!) with some really unique methodology showed it to be the most valuable of all the non-aggregate projection systems that were tested by a large margin.

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It’s time to get nerdy. Very nerdy. While I’m going to post some auction values end the article’s end (I just lost 99% of the readers), the focus of the words is to concentrate on setting a pitcher-hitter split by just using Standings Gain Points (SGP). It’s not going to work with every league type. Not even close but it’s a theoretical solution which can help an owner the best chance to get the most value out of every draft pick or auction dollar. It’s definitely a better option when trying to set in-season values.

The following process is definitely ripe for discussion and argument. While writing The Process, Tanner and I debated this idea and even brought in others to determine if the pitcher-hitter split can be done by using SGP values. We published without including the concept as we were still ironing it out. We are still not in 100% agreement but here is the idea.

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