Archive for Projections

Steamer vs NFBC ADP – Home Run Bargains

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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Streaming WHIP Starting Pitcher Strategy

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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Hitters Who Could Get Platooned

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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An Intro to THE BAT

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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Setting the Hitter-Pitcher Split to Create Overall Rankings

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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Catchers … What a Dumpster Fire

Catchers … what a dumpster fire for a fantasy position. I can’t remember it being worse. It probably was at some point but with the increased knowledge of pitch framing, more horrible hitting catchers are accumulating plate appearances. Today, I’m going to go through the natural catcher tiers for various league types and show where owners need to buy for the best values.

Before I go any further, I need to explain a few concepts. I’m going to be using Standing Gain Points (SGP) to differentiate the various players. The main reason I like to use SGP is it takes all of player’s Roto stats and combine them into a single value. This important with differentiating the value of a speedster leading off or a middle of the lineup slugger. Additionally, I’m using The Process’s 15-team, two-catcher formula for all the following comparisons. It may not be the perfect formula when comparing different league types but it will provide a nice baseline.

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Steamer vs NFBC ADP – Stolen Base Bargains

Unless you plan on attempting to punt categories at your 2019 draft, at some point, one must acquire stolen bases. If you plan on completely ignoring the SB category – you can stop reading this article now. But for the rest of us, here is a look at where some potential bargains for speed may present itself in drafts.

For these draft value comparisons, I look at:

  • 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 1, 2018 to present).

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Hot Button Hitters: The Divisive Projections

A couple of days ago, I released some hitter rankings and now I’m going to dive into some players with the biggest value divergence. By going through the most different players, the value averaging makes any effects of an outlier less meaningful. Also, remember that these are the most divisive projections. Other player projections involve less disagreement.

It’s not always one projection being “wrong”. Each one as some instance of diverging. By using several projections, the faults of one are lessened.

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Top-250 Hitter Rankings & Comparison

It’s time to really get for the 2019 fantasy season and start and release out a set of hitter rankings to nitpick. In all fairness, some of the following projections need to be blown up. Normally, I just average several projections and use them for my fantasy values with great success. With a ‘wisdom of the crowd’ approach, I usually make sure one extreme value, high or low, doesn’t dominate my decision.

Some people get on me for just following these projections. Generally, I do follow them but just as a starting point. As I’ve shown this last week, I add in my own adjustments as I see fit into the baseline values. While Steamer has been out for a few months, other projections are now becoming available. Today, I just wanted to compare them to see who are some of the more divisive players.

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Projection Adjustment: Tucker, Goodrum, Stewart, Ahmed, & Hays

My last few articles have been deep dives on hitters who I felt may need their projection adjusted. Today, I’m going through the last few. Remember, this analysis is focused on the player’s talent projection changing and not on playing time.

Kyle Tucker (220nd in NFBC ADP)

I knew Tucker would make this list before the list ever existed. The 22-year-old flew through the minors and just destroyed AAA with a .332/.400/.590 triple slash line last season. Once he got the majors, the results stunk with him hitting .141/.236 /.203 in just 72 plate appearances.

And now the xStats come to his rescue since he was extremely unlucky with his batted balls. Here are his various actual and expected values.

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