Archive for Featured

Hot Stove Implications: Atlanta Turns Up the Heat

It’s been a chilly offseason thus far, even with the big James Paxton trade last week, but the Braves have singlehandedly helped spark the hot stove with a couple big moves on Monday. Let’s take a look at the fantasy fallout from the latest set of moves:

Nationals Sign Kurt Suzuki

This is actually a return for Suzuki as he spent part of 2012 and 2013 with them, though you might’ve missed it given his meager .239/.297/.344 line with the larger sample in ’13 netting just a 57 wRC+ in 79 games. He meandered his way through three mediocre seasons in Minnesota (86 wRC+) before landing in Atlanta where he enjoyed a mid-30s surge. He put up the best work of his career with a robust 116 wRC+, 31 HR, and 100 RBI in 697 PA in a dynamic platoon with Tyler Flowers.

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Incorporating Sprint Speed into Hitter Projections

One of the keys to fantasy success involves finding when projections can be systematically off. The hard part for fantasy owners is that most of these findings, like pitch velocity, get quickly incorporated into projections. Since it’s difficult to find these discrepancies, I was intrigued when I saw this quote by Mitchel Lichtman (MGL) in an article he wrote:

So, the substantial under-projections seem to occur when a player gains speed but his wOBA remains about the same.

And by substantial, it was a 22 point difference is wOBA. This is a major difference and could point owners to some nice upside plays. I decided to go ahead and dive in.

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The Process: The Next Evolution in Fantasy Baseball

The Process is done. After months of writing and disagreements, the fantasy baseball guide I wrote with Tanner Bell is for sale. Simply, we researched and created the guide we would want. It’s not going to contain player capsules or positional rankings. Dozens of sources provide them. Instead, it’s going to give the reader the ability to create their own and the 2017 NFBC Main Event Champion and my podcast mate, Rob Silver wasn’t happy about the end results as he states in his intro.

Jeff Zimmerman and Tanner Bell are both awful people.

Thanks Rob. Before Rob gets to explain himself, here is the general flow of he book.

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Big Maple Heads to the Big Apple

We finally got our first huge move of the offseason (sorry, Mike Zunino!) as the Mariners traded James Paxton to the Yankees for Justus Sheffield, Erik Swanson, and Dom Thompson-Williams. I’ll save the analysis on Swanson and Thompson-Williams for Kiley McDaniel because I can honestly say I was unaware of both prior to the deal. Here is Kiley’s piece and Jeff Sullivan’s piece, which includes analysis of both (and Jeff’s has full analysis on the deal). I’m going to focus on the fantasy impact for Paxton and Sheffield.

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Introducing StatCast/xStats Week(s) at RotoGraphs

From now until some point before the season starts, the focus of most RotoGraph articles will be on getting the most useful information out of the StatCast information. It’ll include as many or as few of articles to create a good understanding of the data. With tons of available information much has been written about the subject especially here at RotoGraphs. The key with this series is to cut through all the different data points (e.g. launch angle, spin rate, sprint speed) and how they measured (e.g. max, average, weighted) to find which values to focus on and which ones to ignore.

The point of this article is to provide an initial forum, via the comments, to collect and try to answer the question with any previous research. There is no need to completely recreate everything.

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What Went Wrong: Brian Dozier

Brian Dozier entered the 2018 season as one of the most stable power-speed options in the game. Among the 17 players with at least 50 HR and 50 SB from 2014-17, his 194 HR+SB placed him fourth behind only Jose Altuve (226), Mike Trout (216), and Charlie Blackmon (204). He only hit .254 during that four-year run, but 2016-17 were his two best seasons during the run and he actually hit .269 in those two seasons.

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The Sleeper and the Bust Episode: 616 – Happy Birthday, Justin!!!

11/16/18

The latest episode of “The Sleeper and the Bust” is brought to you by Out of the Park Baseball 19, the best baseball strategy game ever made – available NOW on PC, Mac, and Linux platforms! Go to ootpdevelopments.com to order now and save 10% with the code SLEEPER19!

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PitcherList Mock Draft (#PLExpertsMock) – (2:30)

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What Fastball Velocity Value is Most Predictive?

Yesterday, I published an article on a few pitchers whose fastball velocity changed over the course of last season. And then my old buddy MGL showed up.

He’s right. I have so much on my plate right now, mainly my first book and a 2019 player previews, that I didn’t take it another step forward. Here are most of his answers.

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Velocity Changes During the 2018 Season

It may seem that fastball velocity gets over utilized for explaining a pitcher performance, but I don’t think it gets used enough. As I get going full steam ahead in my off-season research, I find myself always looking to see how a pitcher’s velocity held up over the season. Instead of looking up each pitcher individually, I decided to go ahead and collect 2018 fastball velocity reading for an easy reference.

For the data, I found the pitcher’s velocity for the whole season, April to June, July to October, and just September/October. The entire data dataset can be found here.

I went through the data and found some intriguing pitchers who gained and lost a few ticks. I divided up the analysis between first versus second half and first half and September. Many of the same pitchers would have made both lists. Here is the first to second half values.

Notable 1H to 2H Fastball Velocity Changes
2Hv-1Hv Pitcher Fastball Count Season Velo 1H Velo 2H Velo Sept Velo
-1.7 Stephen Strasburg FF 996 94.6 95.3 93.6 93.3
-1.2 Dereck Rodriguez FF 710 91.6 92.4 91.2 90.9
-1.1 Marco Estrada FF 1230 88.5 89.0 87.8 88.0
-1.0 Antonio Senzatela FF 976 93.6 94.4 93.4 93.1
-0.9 Tyler Skaggs FF 931 91.5 91.8 90.9 90.0
-0.9 Brad Keller FF 992 94.3 94.9 94.0 94.3
-0.8 Marco Gonzales SI 650 90.1 90.4 89.6 89.3
-0.8 Jon Gray FF 1387 94.7 95.0 94.3 94.2
1.1 Zack Wheeler FF 1295 95.8 95.3 96.4 95.8
1.1 Mike Clevinger FF 1735 93.6 93.0 94.2 94.5
1.2 Gerrit Cole FF 1617 96.2 95.6 96.7 96.5
1.2 Jacob deGrom FF 1399 96.0 95.4 96.7 96.9
1.3 Jordan Hicks SI 707 100.5 99.7 101.0 101.1
1.4 Cole Hamels FT 450 91.4 90.8 92.2 91.8
1.5 Gio Gonzalez FF 885 89.8 89.0 90.5 90.3
1.5 Lucas Giolito FF 1305 92.3 91.7 93.2 92.5
2.2 Matthew Boyd FF 904 90.4 89.3 91.5 92.4

Stephen Strasburg is the most concerning name on the list with his fastball down ~2 mph. The drop occurred after he went on the DL with shoulder inflammation.

His results also took a hit with his ERA going from 3.46 to 4.20 and his K%-BB% dropping from 23% to 19%.

Strasburg is getting in the danger zone where his fastball will start losing its effectiveness if he loses any more velocity. Here are its swinging-strike rates since he joined the league at different velocities.

Strasburg’s Fastball Swinging-Strike Rate
mph SwStr%
92 4.8%
93 7.0%
94 12.7%
95 13.9%
96 16.8%
97 14.7%
98 16.0%

The fastball starts to lose its effectiveness as it dips near 93 mph.

With the velocity drop, Strasburg will still be a good pitcher because his changeup is elite and curve and slider are decent. His issue is that he’s already been cutting his fastball usage from 73% when he entered the league to 52% last season. I think the chances of him having that elite season has passed.

One major consideration will be if he can get his walks under control. In the first half, they were at 2.1 BB/9 but jumped to 3.5 BB/9 in the second half. Spring training reports are going to matter quite a bit on how he gets valued.

Notable 1H to September Fastball Velocity Changes
SEPv-1Hv Pitcher Fastball Count Season Velo 1H Velo 2H Velo Sept Velo
-2.2 Danny Duffy FF 1044 93.0 92.9 93.1 90.7
-2.1 Chris Sale FF 957 95.3 95.1 95.9 93.0
-1.6 Corey Kluber FC 922 88.5 88.7 88.3 87.0
-1.5 Aroldis Chapman FF 679 98.9 99.1 98.5 97.6
-1.3 Bartolo Colon FT 1369 86.9 86.9 86.8 85.6
1.4 Luis Castillo FF 944 95.9 95.5 96.4 96.9
1.5 Patrick Corbin FF 630 90.8 90.5 91.1 92.0
1.6 Tyson Ross FF 1226 90.7 90.4 91.1 92.1
1.8 Drew Pomeranz FF 576 89.4 88.9 89.9 90.8
1.9 Sean Newcomb FF 1833 92.9 92.7 93.3 94.5
2.0 Mike Fiers FF 1095 89.4 88.5 90.2 90.5
2.7 Martin Perez FT 703 92.5 91.4 92.9 94.1

Corey Kluber is the name which jumps off. For pitcher going in the second round of mock drafts, an ~1.5 mph drop in his fastball throws a major red flag.

He got hit around more in the second half with his BABIP jumping from .248 to .321 while list strikeout and walk rates remained constant (22.5 K%-BB% to 22.1 K%-BB%). Kluber found a way to be effective even with the velocity loss.

My gut says something is off but I can’t find it. His steamer projection has his ERA next season back in the 3.50 range (same as 2015). so it even sees that something is not right. I’ll read some more previews as the season nears and see if I can gain a better understanding of him.


The Sleeper and the Bust Episode: 615 – Fireside Chat: #PLExpertsMock Review

11/15/18

The latest episode of “The Sleeper and the Bust” is brought to you by Out of the Park Baseball 19, the best baseball strategy game ever made – available NOW on PC, Mac, and Linux platforms! Go to ootpdevelopments.com to order now and save 10% with the code SLEEPER19!

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PitcherList Mock Draft ()

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