Last week, I profiled Jose Quintana as a pitcher’s whose ADP and our auction value differed. In my analysis, I noticed that his swinging strike rate (SwStr%) and strikeout rate (K/9) didn’t move in tandem. Here are the pair plotted against each other.

And here are his historic values showing he doesn’t have a propensity to have a higher strikeout rate than his swinging strike rate suggests.

Quintana’s projections seemed based off his strikeout jump, not his swing-and-miss numbers. Steamer has him pegged for a 9.1 K/9 for 2018. Today, I’m going to look to see if just looking at strikeouts rates and not swing-and-miss totals is the correct procedure moving forward.

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As for now, I can’t find any find any predictability to year-to-year hitter consistency once adjusting for plate appearances. For the readers looking for a short article, stop now and move on to Paul’s thesis on starting pitchers. For the stubborn ones, here is what I’ve additionally found out after previously investigating the subject.

On Monday, I could not find any predictability for hitter being consistency. That is not entirely true, I did find that the more plate appearances a hitter accumulates, the more likely they are to reach their true talent level. And if given the opportunity to be closer to their talent level, the more consistent their output.

The one factor I thought might point to year-to-year consistent play in a player’s statistical profile. Are power hitters inconsistent because a few gusts of wind could make a difference in a half-dozen home runs? Do high-walk hitters see their stats as being more consistent since walks stabilize faster? Basically, are certain hitter types more consistent on a yearly basis.

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Whether I like it or not, I’ve opened Pandora’s box on year-to-year consistency. The concept states that if a hitter’s overall year-to-year production is consistent, the consistent production will continue. Therefore, good, consistent hitters should be valued more highly since owners know what they’ll be getting on draft day. The problem is that consistent overall production doesn’t lead to future consistency.

The discussion started last week when I wrote that Eric Hosmer and Edwin Encarnacion had similar fantasy values but Hosmer’s NFBC ADP (average draft position) was quite a bit lower. Reader’s stated in the comments they devalued Hosmer because of his year-to-year inconsistency.

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I’ll continue my look at players who our auction calculator and NFBC ADPs (average draft position) disagree on the most. Today, I will examine some top rated arms who have lower ADPs, Jose Quintana, Jeff Samardzija, and David Price than our Steamer projections may suggest. This trio has some common factors they share and some individual traits which could keep owners away.

These three starters really stood out on the rankings page with ADPs over 80 but supposedly top-20 starters. They each share these common traits.

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… they need Production. That’s it. If anyone says differently, they’re wrong. I’m tired of hearing owners say they want 35+ home runs from first base. It doesn’t matter where the production comes from. Owners don’t get extra points because the home run was from first base or from their shortstop. Home runs are just one category. Other hits, besides home runs, keep the AVG high and can also generate Runs, RBIs, and stolen base opportunities. Home runs don’t have monopoly on run scoring. Owners need to stop tying home runs (or any other stat) to a position and just pick the most productive players.

Today’s rant is being brought to everyone by my Twitter followers. Yesterday I asked them why Eric Hosmer was getting no love with his low NFBC ADP.

I have Eric Hosmer valued as the 28th or 32nd best hitter (z-score and SGP methods). His NFBC ADP is the 46th hitter off the board. Here are my theories for the difference. Which one do you believe is correct?

I have no idea.

— Jeff Zimmerman (@jeffwzimmerman) January 23, 2018

The big winner is power from first base. I’ve never gotten this philosophy of targeting a single stat, like stolen bases or home runs, from a set position. This is especially true early in a draft. In the first 100 picks or so, all the players are average or better. Accumulate as many of these above average talents as possible and then fill in the voids. If the team needs stolen bases, find them now later. Or batting average. Or heaven forbid, home runs.

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With the addition of NFBC ADP (average draft position) to our projection pages. I went and set our auction calculator settings for an NFBC roto team (14 Hitters, 9 pitchers). I just started going down the hitter rankings to find any major discrepancies. I didn’t make it off the first page. Here is an examination of why the values differ for three players.

Note: I’d prefer to use plate appearances to compare playing time but all the print publications use at-bats so I’m stuck using at-bats as a comparison.

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Last week, I began an examination of stolen base rates. The process is messy with too many variables and nuances to consider. I’m examining the information through several different lenses and seeing what applies. Today, I’m going to look at how success rate plays a role.

Team Level Analysis

As sabermetric principles are being utilized more and more by front offices, they quickly came around to the idea that for stolen bases to be helpful, the success rate needs to be high. In 2000, the success rate was 69% for the entire league and it has increased to 73% last season.

Knowing that each team is made of different players and their individual success rate are a factor, here are the three-year success rate along with total stolen base attempt percentage ((CS+SB)/(1B+HBP+BB)).

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In case you missed the announcement in Paul Sporer’s latest post:

FanGraphs now has NFBC ADP data!

NFBC ADP data used to be hosted at Stats, Inc. Prior to last week, 2018 data had only been available to NFBC contestants.

Anticipated FAQs:

Where can I find the data?

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We added the average draft positions for National Fantasy Baseball Championship leagues to our projections pages! Right now only Steamer is up and so you can click here and find the ADP in the last column on the right. Once I was told they were live I thought let’s take this info and use it with the Steamer 600 projection (their normal projection normalized to 600 PA for everyone) to find some potential gems. Essentially, it’s a playing time sleeper list. If these guys were to find 600 PA, Steamer is suggesting they’ve got the skills to shine. I’m looking at players currently being drafted outside the top 200 in NFBC leagues.

Here are 12 names that stood out to me:

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Several years ago Alan Nathan, Jeff Kensrud, Lloyd Smith, and Eric Lang brought an air cannon and a few boxes of brand new baseballs to Minute Maid Park. If you’re anything like me, you like where this is going. They set up their cannon to fire balls roughly 96mph on a 28° angle and used Trackman to measure their distance and spin rate. They tested four groups of balls, two groups composed of MLB balls, one MiLB, and one NCAA. One group of MLB balls, group A, were tested using reasonably low spin rates, about 1800. The other, group B, had variable spin rates, ranging from 2100 to 3300. The results of their study were published in an article titled  How Far Did That Fly Ball Travel (Redux)? on Baseball Prospectus, although it can also be found here. I encourage you to read the piece, but today I want to focus on the MLB-A and MiLB groups.

The major league ball traveled 28 feet further than the minor league ball. Albeit with a higher spin rate. Presumably, the higher spin rate should translate to increased distance, but it is difficult to imagine that a difference of 200 rpm could bridge a gap of 28 feet. More on this in a moment. Read the rest of this entry »