Advanced Stats - Pitching: Friday, April 7th

Only pitchers on the night slate will be covered in the notes tonight, though we’re listing the afternoon guys too. Included are two who make their major league debut and one who hasn’t thrown a pitch in a major league game that counts since 2014 with another who’s only thrown 4.2 innings since then. This is what the bottom of the rotation looks like. The good news is that we start at the top again tomorrow and get to start using brand new 2017 stats real soon.

Check out Tuesday’s article for an explanation on some newly included stats this year, including DRA and some Statcast stuff. Remember that FanDuel has changed their pitcher pricing to de-emphasize the Win in favor of the Quality Start. A welcome, if not overdue change.

As always, don’t forget to check lineups, umpire assignments, line movement, and Kevin’s weather report as they are released later in the day, all of which may change the equation and help you decide between two pitchers of otherwise equal value in a pinch. And all of which are now available right here on the site.
Most stats are pulled directly from the Fangraphs.com database. If a stat is used that you are not familiar with and want to learn more about, their glossary does a terrific job of explaining all of the advanced stats used here.

Starting Pitching Main Chart

We’re using Seamheads.com three year park factors. Home team is in bold. Team Def = UZR/150. L2Yrs is a rolling calendar. Hm/Rd xFIP is since the start of the 2016 season. Opp team offensive stats are wRC+.

Pitcher Team Team
Def
SIERA
L2Yrs
IP/GS
L2Yrs
GB%
L2Yrs
Park
Run
Hm/Rd
xFIP
SIERA
L14
Opp Opp
Hm/Rd
Opp L/R
wRC+
Opp L7
wRC+
A.J. Griffin TEX 1.9 4.63 5.17 29.1% 1.07 4.8 6.62 OAK 98 91 84
Brett Anderson CHC 9.1 3.59 5.56 65.0% 1.05 4.08 4.46 MIL 92 100 103
Derek Holland CHW 3.3 4.87 5.47 39.5% 0.99 4.6 4.83 MIN 99 98 92
Francisco Liriano TOR 2.2 3.86 5.79 51.6% 0.97 4.44 2.84 TAM 96 101 73
Hyun-Jin Ryu LOS 2.3 4.85 4.2 41.2% 1.37 COL 100 84 73
Ivan Nova PIT -2.8 4.06 5.63 51.8% 0.95 3.73 3.32 ATL 86 89 105
Jason Vargas KAN 4.9 4.54 4.58 40.0% 1.01 4.39 3.28 HOU 97 98 85
Jesse Chavez ANA 6.5 3.87 5.77 43.1% 0.92 3.8 2.82 SEA 101 107 124
Jimmy Nelson MIL -7.2 4.52 5.75 50.0% 1.05 4.71 5.79 CHC 106 103 113
Josh Tomlin CLE 5.4 4.05 6.11 42.2% 1.07 4.01 4.7 ARI 99 87 106
Luis Perdomo SDG -5.9 4.04 5.85 59.0% 0.86 4.47 4.6 SFO 83 100 155
Luis Severino NYY 0.8 3.97 5. 47.4% 1.04 4.52 4.6 BAL 104 107 95
Matt Andriese TAM -1.4 3.94 5.19 44.7% 0.97 4.04 3.79 TOR 97 103 80
Matt Cain SFO 4.8 4.71 5.04 36.7% 0.86 4.62 2.92 SDG 92 81 97
Max Scherzer WAS 1.1 2.83 6.82 34.4% 1.02 3.74 3.14 PHI 76 83 75
Michael Fulmer DET -5.1 4.03 6.12 49.1% 1.01 4.04 3.31 BOS 105 113 58
Mike Fiers HOU 4.2 4.06 5.67 39.9% 1.01 3.7 2.94 KAN 85 84 64
Mike Foltynewicz ATL -0.9 4.19 5.6 37.8% 0.95 4.02 5.06 PIT 109 97 77
Mike Leake STL -5.3 4.06 6.14 52.7% 0.97 3.48 4.13 CIN 85 91 111
Phil Hughes MIN -5.8 4.57 5.81 35.4% 0.99 5.48 CHW 97 92 108
Raul Alcantara OAK -8.3 4.85 4.42 39.5% 1.07 5.75 4.35 TEX 106 98 85
Shelby Miller ARI -6.1 4.49 5.78 45.6% 1.07 4.85 4.86 CLE 85 103 94
Steven Wright BOS 4.1 4.57 6.33 43.5% 1.01 4.17 DET 110 107 140
Ubaldo Jimenez BAL -3.2 4.29 5.54 49.0% 1.04 4.48 4.27 NYY 84 93 107
Vince Velasquez PHI 1.9 3.65 5.45 0.337 1.02 3.36 WAS 98 95 91
Wei-Yin Chen FLA 2.8 4.04 5.93 0.405 0.87 3.87 3.44 NYM 102 104 115
Yovani Gallardo SEA -4.3 4.9 5.39 0.47 0.92 5.23 5.32 ANA 101 99 104
Amir Garrett CIN 0.4 0 0 0.97 STL 102 98 129
Kyle Freeland COL -3.1 0 0 1.37 LOS 89 109 65
Zack Wheeler NYM 1.3 0 0 0.87 FLA 96 91 88

One important note here is that with the season just under way, we’re still using some 2016 stats to start the season this week (even if it says 2017). Stats for the last seven, 14 or 30 days are also from the end of last season and should probably be largely ignored. They’re essentially filling in blank spaces right now. Also, we’re still using last year’s park factors as I’ve yet to find an updated site with multi-year factors. Feel free to leave a message if you know of one.

Francisco Liriano turned his season around after being reunited with his old catcher (Russell Martin). He increased his strikeout rate (22.2% to 25%) and cut his walk rate nearly in half (13.2% to 7.7%). That was really the only major difference, as his 19.6 HR/FB barely dropped to 17.1%. You wouldn’t expect a move from Pittsburgh to Toronto to help his HR rate, but that number was bound to regress wherever. As far as pitch mix, he was throwing a few more sliders and both his fastball and changeup gained a whole mph in velocity. Batters were finally chasing his slider again too, going from a 27.8 O-Swing% to 35.5% in Toronto. Makes some sense, considering he was getting ahead more often as well (54.5 F-Strike% to 58.2%). Doesn’t mean he’s not a risk to slip back into hold habits, but it’s encouraging to see the ability is still there. The Rays are usually a platoon advantage offense, who hits LHP well, but also strike out a lot (25.4% last year).

Matt Andriese had some quality peripherals last year, but a strand rate slightly below 70%. His 15.9 K-BB% is solidly above average. He’s not really a guy with tremendous stuff, rather solid command of it. Without much of a platoon split, he faces a predominantly RH lineup, who excel against RHP, but at least gets to face them at home, in Tampa Bay.

Mike Fiers allows too much hard contact in the air, which lead to 26 HRs in 168 innings last year, though his 42.2 GB% was a career high. He has the ability to miss bats at a near average rate and had solid control last year, but the main reason to consider him tonight is because he is facing the Royals. He’s shown reverse splits through his first nearly 600 major league innings and the Royals don’t really have anyone who makes you sweat from that side of the plate.

Mike Leake faces his old team in St Louis. He’s somewhat of a HR prone RHP and while moving from Cincinnati to St Louis did not help that situation last year, his 13.5 HR/FB, which is right on his career mark, was actually league average. He stayed the same, but the league changed. While his 16.5 K% was at his career rate as well, his 7.2 SwStr% was actually his highest since 2011. He did show a tendency to throw his slider more often to RHBs with swing and miss tendencies and his 65.6 LOB% last season was nearly eight points below his career average. Expectations should be a bit more optimistic this year and he starts off in a nice spot at home.

Shelby Miller is the most interesting arm on the night slate. Don’t try to fix your computer screen. You read that right. While the trade was already thought to be lopsided when he was considered to be a decent pitcher, he went out and pitched like a 40 year old dad in a Sunday softball league last year. His mechanics were a mess. His hand was hitting the ground after pitches.

Turn to this spring. Before March even started, it was noted that his “velocity was up 2.5 mph”: http://www.fangraphs.com/fantasy/mixing-fantasy-reality-bellinger-fastball-velocities/, a number (95.5 mph) he averaged in just one game last season. A month later, he’s struck out 37% of batters he faced this spring and his velocity is up even further. All of a sudden, his fastball is Syndergaardian. Well, we didn’t know about those new tricky velocity readings yet, so maybe not, but it’s still certainly a positive development.

Unfortunately, he was still getting hit fairly hard because the rest of his arsenal is still pretty mediocre, but 95+ can make everything else look a bit better. Also, facing Cleveland in Arizona does not look like a favorable proposition, but they will have to sit either Santana or Encarnacion.

Amir Garrett is a highly regarded pitching prospect who ranked second on the Reds list and 65th in the top 100 for Fangraphs this season. The stuff isn’t amazing, but he has several pitchers projected anywhere from at least useful to above average. His strikeout rates were above average until being merely average at AAA last season. He does have occasional issues with control, sitting with a walk rate above 9% at just about every stop of the minors. This likely means we’re looking at a K-BB% a bit below average in the majors at this point. The Cardinals, for some unknown reason, have struggled against LHP the last few seasons despite leaning heavily right-handed. The early April conditions in St Louis generally favor pitchers as well.

NOT AS GOOD AS THEY LOOK (OR THE FADE LIST)

This list is reserved for pitchers who may look attractive because their ERAs are much lower than their estimators. The reason for this is almost always extreme BABIP, LOB, and/or HR/FB deviation from the norm, so we’ll just quote those stats and be done with them.

League AVG (.298 BABIP – 72.3 LOB% – 13.3 HR/FB)

Nobody qualifies.

NO THANK YOU (In order from least to most offensive)

Wei-Yin Chen moved to a bigger park in a more pitcher friendly division and proceeded to post a career high 14.9 HR/FB with a career high 35.1 Hard%. His 91 mph aEV and 9.1% Barrels/BBE (6.2% Barrels/PA) are some of the highest marks on the board. He generated just 10 popups, when he’d never had fewer than 20 in a season in Baltimore. He also dropped a full mph off his fastball and suffered an elbow injury over the summer. It appears to have been more of a sprain than something he’d need to see Dr Tommy John for (why did they name the surgery for the pitcher instead of the doctor who saved his career?), so we can hope for a return to health and better results this year. The Mets struck out 22.3% of the time last year against LHP, but also had a 14.8 HR/FB. Although they do lean left-handed, they do have a lefty masher named Flores, a total masher named Cespedes, and Walker was a revelation from the right side last year. Maybe a healthier pitcher is a better pitcher in his second season in Miami, but he is the second most expensive pitcher on either site.

Luis Severino started 11 games last season and also made 11 relief appearances. While the 64 LOB% should improve, I’m not so sure about the 16.4 HR/FB. He needs a third pitch and he needs to throw more strikes, but not necessarily against this lineup, who hammers RHP (16.8 HR/FB vs RHP last year). He’s actually been worse against RHBs (.342 wOBA, 13 HRs) than LHBs (.319, 7) in his short career, but with a fastball/slider combo, that’s likely to even out. His stuff is above average, so a quality changeup could turn him into a good pitcher.

Jesse Chavez made all 62 appearances last year out of the bullpen, where he was actually a bit worse than he was as a starter the previous two seasons, in which he was a perfectly average starter. He is in a nice park at the minimum price on FanDuel, but is it ever necessary to use a minimum priced pitcher on FanDuel.

Brett Anderson followed up a career high 180 innings in 2015 (66.3 GB%) with just 11 last year. When he’s able to pitch, you’re going to see lots of ground balls. The Brewers might have an impressive lineup against LHP this year, at least in terms of power potential, but they are still projected to strike out a ton. The cost is almost low enough that I’d be tempted if he was in a more pitcher friendly environment.

Jimmy Nelson

Ubaldo Jimenez makes me wonder why only batters and relievers get walk up (walk in?) music. Ubaldo has a near perfect song to play him in. It’s just that in your head, you have to change the words to Kiss’s “War Machine”:https://www.youtube.com/watch?v=LlnmNkMivHc&ab_channel=rockerdude108 to Walk Machine.

Phil Hughes had an abbreviated season last year. He was the lesser known thoracic outlet surgery patient last year. Maybe that’s been an issue for longer than we’ve known because he’s had a strikeout rate below 15% over his last 200 innings. He’s not in a terrible spot as an extreme fly ball pitcher at home against the White Sox, but his strikeout rate leaves little expectation concerning his potential upside.

Josh Tomlin allowed 36 HRs last year, 22 of them to RHBs. The Diamondbacks lean RH and the park shift is terrible for him.

Zack Wheeler makes his return from TJS. He missed two full years. He hasn’t thrown a major league pitch in two full years and DraftKings has him priced at $8K. Was he even an $8K pitcher when healthy? He has a 10.2% major league walk rate. He’s looked okay occasionally this spring, but often looked like a pitcher who’s previously struggled with control returning from TJS.

Yovani Gallardo struck out 16.2% of batters last year. The Angels struck out 16.4% of the time against RHPs. Gallardo would be expected to have a 16.3% strikeout rate tonight? Wrong. You see, they both performed those numbers against a league with strikeout rates much higher, so we should project a mark even lower and there’s also the matter that this is a different season and the Angels have new obscure batters at the bottom of their lineup to replace the old obscure ones and these guys might strike out more. It’s a whole mess of math and stuff, but the point is that this is all pretty useless from a DFS perspective. He wasn’t even generating ground balls last year.

Raul Alacantara – It’s a small sample, but look at those Statcast batted ball rates.

A.J. Griffin

Jason Vargas

Derek Holland – Twins stack!!!

K/BB Chart

Pitcher and Opponent K% & BB% for titled splits, similar to the Main Chart.

Pitcher Team Split K% BB% Split K% BB% Split K% BB%
A.J. Griffin Rangers L2 Years 21.0% 9.0% Home 19.7% 7.9% L14 Days 14.7% 17.7%
Brett Anderson Cubs L2 Years 14.9% 6.2% Road 9.7% 6.5% L14 Days 11.4% 2.9%
Derek Holland White Sox L2 Years 15.3% 7.4% Home 15.5% 5.8% L14 Days 10.3% 6.9%
Francisco Liriano Blue Jays L2 Years 24.8% 10.3% Road 22.0% 12.0% L14 Days 32.0% 6.0%
Hyun-Jin Ryu Dodgers L2 Years 16.7% 8.3% Road L14 Days
Ivan Nova Pirates L2 Years 17.3% 5.6% Home 18.1% 4.7% L14 Days 16.3% 0.0%
Jason Vargas Royals L2 Years 16.5% 6.5% Road 26.7% 6.7% L14 Days 29.4% 5.9%
Jesse Chavez Angels L2 Years 20.9% 6.9% Home 22.9% 4.7% L14 Days 23.1% 0.0%
Jimmy Nelson Brewers L2 Years 18.5% 9.7% Home 18.0% 9.7% L14 Days 17.0% 12.8%
Josh Tomlin Indians L2 Years 17.9% 2.9% Road 17.1% 3.4% L14 Days 9.1% 0.0%
Luis Perdomo Padres L2 Years 15.9% 7.0% Home 12.7% 7.1% L14 Days 8.3% 2.1%
Luis Severino Yankees L2 Years 21.5% 8.3% Road 19.4% 9.4% L14 Days 22.2% 11.1%
Matt Andriese Rays L2 Years 19.5% 5.3% Home 21.3% 5.3% L14 Days 23.9% 4.4%
Matt Cain Giants L2 Years 16.9% 7.8% Road 19.3% 5.9% L14 Days 25.0% 0.0%
Max Scherzer Nationals L2 Years 31.1% 5.0% Road 29.9% 6.4% L14 Days 32.5% 7.8%
Michael Fulmer Tigers L2 Years 20.4% 6.5% Home 20.4% 5.3% L14 Days 25.5% 6.4%
Mike Fiers Astros L2 Years 21.1% 7.1% Home 20.3% 5.3% L14 Days 29.8% 6.4%
Mike Foltynewicz Braves L2 Years 20.4% 6.9% Road 19.9% 5.3% L14 Days 25.0% 15.0%
Mike Leake Cardinals L2 Years 15.9% 5.2% Home 17.1% 3.0% L14 Days 16.7% 7.1%
Phil Hughes Twins L2 Years 14.1% 3.2% Road 9.7% 6.2% L14 Days
Raul Alcantara Athletics L2 Years 13.6% 3.9% Road 11.1% 2.8% L14 Days 17.5% 5.0%
Shelby Miller Diamondbacks L2 Years 18.3% 8.7% Home 16.9% 8.7% L14 Days 18.2% 9.1%
Steven Wright Red Sox L2 Years 18.5% 8.7% Road 21.2% 8.8% L14 Days
Ubaldo Jimenez Orioles L2 Years 20.5% 9.8% Home 19.8% 11.5% L14 Days 27.7% 14.9%
Vince Velasquez Phillies L2 Years 26.9% 8.4% Home 32.6% 8.1% L14 Days
Wei-Yin Chen Marlins L2 Years 19.3% 5.0% Road 18.6% 3.7% L14 Days 20.8% 1.9%
Yovani Gallardo Mariners L2 Years 15.6% 9.8% Road 15.4% 10.9% L14 Days 16.3% 12.2%
Amir Garrett Reds L2 Years 0.0% 0.0% Road L14 Days
Kyle Freeland Rockies L2 Years 0.0% 0.0% Home L14 Days
Zack Wheeler Mets L2 Years 0.0% 0.0% Home L14 Days

K/BB Chart – Opponent

Opponent Split K% BB% Split K% BB% Split K% BB%
Athletics Road 19.6% 7.8% RH 19.0% 7.6% L7Days 21.3% 7.1%
Brewers Home 26.1% 10.1% LH 24.7% 11.1% L7Days 23.7% 8.5%
Twins Road 24.4% 8.7% LH 24.3% 7.8% L7Days 25.6% 10.5%
Rays Home 25.9% 7.7% LH 25.4% 7.5% L7Days 20.8% 5.3%
Rockies Home 18.7% 8.9% LH 22.9% 8.4% L7Days 28.1% 3.5%
Braves Road 20.5% 8.0% RH 19.7% 8.5% L7Days 23.1% 8.8%
Astros Home 24.5% 9.0% LH 23.4% 8.7% L7Days 21.5% 5.3%
Mariners Road 20.2% 7.4% RH 20.2% 8.2% L7Days 23.6% 8.0%
Cubs Road 21.6% 9.8% RH 21.5% 10.3% L7Days 20.4% 12.2%
Diamondbacks Home 23.5% 7.3% RH 22.6% 6.9% L7Days 22.2% 7.4%
Giants Road 18.5% 8.5% RH 17.3% 9.5% L7Days 16.9% 9.7%
Orioles Home 20.4% 8.1% RH 21.5% 7.5% L7Days 23.9% 8.3%
Blue Jays Road 22.8% 9.9% RH 22.4% 10.1% L7Days 20.2% 13.3%
Padres Home 24.1% 8.2% RH 24.9% 7.3% L7Days 25.5% 5.0%
Phillies Home 24.2% 7.2% RH 23.1% 7.1% L7Days 23.4% 5.9%
Red Sox Road 20.1% 8.9% RH 18.0% 8.6% L7Days 17.1% 11.1%
Royals Road 21.5% 6.2% RH 20.3% 6.3% L7Days 23.6% 6.0%
Pirates Home 20.1% 9.1% RH 20.9% 8.5% L7Days 26.8% 8.1%
Reds Road 20.3% 6.6% RH 20.6% 7.3% L7Days 20.4% 5.4%
White Sox Home 20.5% 7.8% RH 20.7% 7.4% L7Days 22.3% 7.8%
Rangers Home 19.2% 8.0% RH 20.0% 7.2% L7Days 23.3% 8.1%
Indians Road 21.7% 7.4% RH 20.1% 8.9% L7Days 20.7% 12.0%
Tigers Home 19.9% 8.2% RH 21.2% 7.7% L7Days 25.8% 7.5%
Yankees Road 19.8% 7.0% RH 20.0% 7.8% L7Days 17.4% 10.4%
Nationals Road 20.8% 8.3% RH 20.0% 8.6% L7Days 22.5% 11.3%
Mets Home 21.0% 9.2% LH 22.3% 8.7% L7Days 16.4% 9.4%
Angels Home 16.2% 7.9% RH 16.4% 7.7% L7Days 14.4% 8.8%
Cardinals Home 19.9% 8.5% LH 21.4% 8.2% L7Days 18.0% 8.4%
Dodgers Road 21.3% 8.5% RH 21.1% 8.4% L7Days 20.5% 6.0%
Marlins Road 20.0% 7.2% RH 19.0% 7.3% L7Days 20.3% 7.4%

Batted Ball Chart

Pitcher and Opponent Batted Ball stats.

Pitcher Team Split Hard% HR/FB% Hd-St% Split Hard% HR/FB% Hd-St% Split Hard% HR/FB% Hd-St% Split Hard% HR/FB% Hd-St%
A.J. Griffin Rangers L2 Years 38.1% 16.9% 20.0% 2017 38.1% 16.9% 20.0% Home 37.0% 17.4% 21.6% L14 Days 36.4% 28.6% 22.8%
Brett Anderson Cubs L2 Years 25.4% 18.8% 0.4% 2017 35.9% 36.4% 11.4% Road 34.6% 33.3% 11.5% L14 Days 30.0% 14.3% 6.7%
Derek Holland White Sox L2 Years 33.0% 12.7% 17.2% 2017 32.2% 10.6% 14.5% Home 32.3% 6.9% 17.4% L14 Days 33.3% 14.3% 16.6%
Francisco Liriano Blue Jays L2 Years 29.4% 15.4% 7.0% 2017 34.8% 18.8% 15.4% Road 33.6% 24.6% 13.6% L14 Days 35.5% 0.0% 29.0%
Hyun-Jin Ryu Dodgers L2 Years 44.4% 16.7% 38.8% 2017 44.4% 16.7% 38.8% Road L14 Days
Ivan Nova Pirates L2 Years 33.6% 15.2% 15.0% 2017 34.4% 16.4% 15.9% Home 31.0% 16.2% 9.6% L14 Days 26.5% 0.0% 5.9%
Jason Vargas Royals L2 Years 35.8% 8.2% 17.0% 2017 33.3% 6.3% 18.1% Road 20.0% 16.7% 0.0% L14 Days 31.8% 9.1% 18.2%
Jesse Chavez Angels L2 Years 31.2% 12.4% 13.1% 2017 31.2% 15.4% 15.1% Home 30.1% 18.4% 11.4% L14 Days 40.0% 25.0% 30.0%
Jimmy Nelson Brewers L2 Years 30.8% 13.2% 10.5% 2017 32.6% 14.5% 11.3% Home 33.5% 15.2% 11.8% L14 Days 39.4% 15.8% 21.2%
Josh Tomlin Indians L2 Years 33.7% 17.0% 17.9% 2017 33.9% 17.7% 17.5% Road 34.6% 17.5% 15.6% L14 Days 25.7% 4.8% 5.7%
Luis Perdomo Padres L2 Years 34.0% 21.7% 17.3% 2017 34.0% 21.7% 17.3% Home 34.6% 19.6% 15.4% L14 Days 32.6% 41.7% 18.6%
Luis Severino Yankees L2 Years 28.0% 16.8% 4.6% 2017 29.4% 16.4% 8.8% Road 27.8% 6.5% 12.3% L14 Days 22.7% 9.1% 9.1%
Matt Andriese Rays L2 Years 33.8% 11.3% 15.9% 2017 34.3% 11.5% 17.7% Home 31.4% 9.3% 13.6% L14 Days 42.4% 11.8% 15.1%
Matt Cain Giants L2 Years 33.5% 14.9% 13.6% 2017 31.4% 15.0% 9.8% Road 38.1% 16.2% 18.5% L14 Days 50.0% 0.0% 33.3%
Max Scherzer Nationals L2 Years 29.1% 11.2% 7.6% 2017 30.1% 11.9% 7.9% Road 32.3% 13.0% 9.2% L14 Days 41.3% 25.0% 19.6%
Michael Fulmer Tigers L2 Years 30.4% 11.2% 11.2% 2017 30.4% 11.2% 11.2% Home 31.3% 10.3% 11.4% L14 Days 31.3% 0.0% 15.7%
Mike Fiers Astros L2 Years 34.4% 13.1% 16.0% 2017 35.3% 15.2% 18.1% Home 37.0% 14.0% 18.8% L14 Days 36.7% 16.7% 16.7%
Mike Foltynewicz Braves L2 Years 31.0% 13.5% 11.4% 2017 29.8% 13.2% 9.4% Road 30.0% 17.1% 9.4% L14 Days 33.3% 0.0% 25.0%
Mike Leake Cardinals L2 Years 29.7% 13.7% 12.8% 2017 30.6% 13.5% 13.3% Home 25.0% 18.0% 5.3% L14 Days 12.5% 0.0% -15.6%
Phil Hughes Twins L2 Years 33.1% 13.3% 16.7% 2017 37.7% 12.9% 23.1% Road 34.7% 8.1% 16.8% L14 Days
Raul Alcantara Athletics L2 Years 45.7% 25.7% 28.4% 2017 45.7% 25.7% 28.4% Road 45.2% 33.3% 19.4% L14 Days 48.4% 50.0% 25.8%
Shelby Miller Diamondbacks L2 Years 30.0% 8.4% 11.0% 2017 35.8% 11.6% 20.8% Home 38.9% 15.4% 26.7% L14 Days 31.3% 0.0% 12.5%
Steven Wright Red Sox L2 Years 29.8% 9.0% 7.0% 2017 27.8% 7.1% 4.3% Road 28.6% 4.0% 4.2% L14 Days
Ubaldo Jimenez Orioles L2 Years 28.8% 12.1% 9.7% 2017 30.9% 11.2% 11.7% Home 32.6% 14.7% 13.5% L14 Days 23.1% 0.0% -11.5%
Vince Velasquez Phillies L2 Years 31.0% 12.3% 12.7% 2017 32.6% 14.9% 14.2% Home 31.8% 15.5% 15.6% L14 Days
Wei-Yin Chen Marlins L2 Years 31.0% 13.3% 11.5% 2017 35.1% 14.9% 19.3% Road 34.0% 21.4% 19.6% L14 Days 32.5% 16.7% 5.0%
Yovani Gallardo Mariners L2 Years 26.3% 10.1% 9.7% 2017 27.5% 11.7% 9.0% Road 29.8% 11.8% 10.7% L14 Days 17.7% 0.0% -2.9%
Amir Garrett Reds L2 Years 0.0% 0.0% 0.0% 2017 Road L14 Days
Kyle Freeland Rockies L2 Years 0.0% 0.0% 0.0% 2017 Home L14 Days
Zack Wheeler Mets L2 Years 0.0% 0.0% 0.0% 2017 Home L14 Days

Batted Ball Charts – Opponent

Opponent Split Hard% HR/FB% Hd-St% Split Hard% HR/FB% Hd-St% Split Hard% HR/FB% Hd-St%
Athletics Road 30.9% 12.6% 11.1% RH 29.4% 10.0% 10.4% L7Days 35.9% 8.9% 22.1%
Brewers Home 34.3% 16.3% 16.7% LH 32.7% 15.9% 14.8% L7Days 26.4% 20.0% 5.0%
Twins Road 30.6% 13.6% 11.2% LH 31.2% 13.6% 12.6% L7Days 29.8% 14.6% 14.6%
Rays Home 33.4% 13.4% 14.4% LH 32.9% 12.3% 15.8% L7Days 30.9% 4.7% 8.9%
Rockies Home 34.9% 15.9% 18.5% LH 32.5% 13.0% 13.0% L7Days 33.1% 4.8% 15.6%
Braves Road 28.0% 10.5% 7.9% RH 29.4% 9.7% 11.0% L7Days 29.2% 15.7% 7.7%
Astros Home 32.9% 14.5% 15.2% LH 34.3% 14.4% 17.4% L7Days 27.4% 4.7% 8.5%
Mariners Road 31.1% 14.9% 12.0% RH 31.4% 14.9% 13.2% L7Days 30.3% 17.7% 4.7%
Cubs Road 32.2% 14.4% 13.4% RH 31.3% 12.6% 11.6% L7Days 26.8% 12.5% 7.8%
Diamondbacks Home 35.2% 17.7% 20.1% RH 32.6% 12.9% 15.3% L7Days 35.5% 21.1% 18.9%
Giants Road 31.5% 10.1% 11.8% RH 29.5% 8.4% 9.7% L7Days 27.7% 9.6% 10.6%
Orioles Home 33.1% 16.6% 12.0% RH 33.1% 16.8% 12.9% L7Days 38.5% 14.3% 16.7%
Blue Jays Road 33.1% 14.6% 12.8% RH 33.3% 15.0% 14.6% L7Days 26.3% 6.7% 3.5%
Padres Home 30.6% 12.6% 12.1% RH 29.8% 12.7% 10.6% L7Days 22.7% 8.3% 6.0%
Phillies Home 25.3% 12.2% 3.8% RH 28.9% 13.0% 7.8% L7Days 31.6% 6.3% 10.9%
Red Sox Road 33.3% 13.5% 13.9% RH 34.2% 13.2% 15.2% L7Days 25.8% 7.5% 6.4%
Royals Road 29.5% 11.7% 10.1% RH 30.0% 9.6% 10.5% L7Days 29.3% 5.6% 10.0%
Pirates Home 31.2% 11.0% 11.3% RH 30.7% 11.1% 10.6% L7Days 27.2% 15.2% 10.1%
Reds Road 28.3% 10.8% 9.5% RH 30.0% 11.5% 12.1% L7Days 24.1% 13.1% 3.9%
White Sox Home 28.8% 12.0% 8.2% RH 29.0% 11.5% 9.2% L7Days 27.1% 13.8% 5.1%
Rangers Home 31.5% 13.7% 12.2% RH 31.1% 14.1% 12.0% L7Days 34.9% 10.4% 15.2%
Indians Road 30.7% 10.8% 11.4% RH 31.5% 12.5% 13.9% L7Days 33.8% 6.3% 14.1%
Tigers Home 32.7% 13.2% 16.2% RH 32.4% 14.1% 15.4% L7Days 32.4% 19.0% 15.8%
Yankees Road 29.6% 10.1% 13.0% RH 29.5% 13.4% 12.9% L7Days 35.1% 14.8% 16.2%
Nationals Road 33.5% 13.3% 15.4% RH 32.8% 12.1% 14.9% L7Days 35.1% 12.1% 16.6%
Mets Home 34.3% 13.6% 13.3% LH 33.3% 14.8% 12.2% L7Days 31.5% 9.8% 8.8%
Angels Home 29.6% 10.9% 10.9% RH 30.5% 9.9% 11.8% L7Days 25.3% 8.5% 5.5%
Cardinals Home 33.3% 13.3% 16.1% LH 31.1% 13.1% 13.8% L7Days 29.1% 14.5% 13.2%
Dodgers Road 33.8% 12.2% 17.3% RH 34.6% 15.6% 18.0% L7Days 28.5% 6.7% 8.9%
Marlins Road 29.4% 10.4% 9.3% RH 29.4% 9.8% 8.9% L7Days 29.9% 10.0% 11.9%

K/SwStr Chart (2016 LG AVG – 20.2 K% – 9.5 SwStr% – 2.13 K/SwStr)

Getting called strikeouts can be a skill, but it’s usually not a sustainable one at a large deviation from the league rate (catcher framing and other factors may make some difference here). K% correlates heavily with SwStr% though. Look for a large difference and you might find a potential adjustment before anyone else.

Pitcher Team K% Season SwStr% Season K%/SwStr% K% L30 Days SwStr% L30 Days K%/SwStr%
A.J. Griffin TEX 21.0% 9.1% 2.31 23.8% 10.2% 2.33
Brett Anderson CHC 8.1% 5.7% 1.42 11.4% 6.7% 1.70
Derek Holland CHW 14.5% 7.8% 1.86 13.7% 8.3% 1.65
Francisco Liriano TOR 23.0% 11.4% 2.02 27.6% 14.3% 1.93
Hyun-Jin Ryu LOS 16.7% 10.1% 1.65
Ivan Nova PIT 18.6% 9.4% 1.98 21.1% 10.3% 2.05
Jason Vargas KAN 23.4% 10.1% 2.32 23.4% 10.1% 2.32
Jesse Chavez ANA 22.3% 9.0% 2.48 23.5% 9.8% 2.40
Jimmy Nelson MIL 17.4% 7.4% 2.35 18.6% 10.0% 1.86
Josh Tomlin CLE 16.3% 7.4% 2.20 10.1% 7.7% 1.31
Luis Perdomo SDG 15.9% 8.6% 1.85 14.6% 7.1% 2.06
Luis Severino NYY 21.2% 9.2% 2.30 22.5% 10.4% 2.16
Matt Andriese TAM 20.7% 10.3% 2.01 20.4% 11.1% 1.84
Matt Cain SFO 18.1% 8.7% 2.08 31.6% 11.4% 2.77
Max Scherzer WAS 31.5% 15.3% 2.06 27.9% 15.3% 1.82
Michael Fulmer DET 20.4% 10.4% 1.96 19.7% 10.2% 1.93
Mike Fiers HOU 18.5% 8.9% 2.08 20.6% 8.7% 2.37
Mike Foltynewicz ATL 21.1% 10.0% 2.11 27.5% 10.7% 2.57
Mike Leake STL 16.5% 7.2% 2.29 15.0% 7.5% 2.00
Phil Hughes MIN 13.1% 6.4% 2.05
Raul Alcantara OAK 13.6% 6.1% 2.23 13.6% 6.1% 2.23
Shelby Miller ARI 15.2% 7.0% 2.17 14.8% 7.1% 2.08
Steven Wright BOS 19.4% 10.8% 1.80
Ubaldo Jimenez BAL 19.6% 8.3% 2.36 23.3% 9.9% 2.35
Vince Velasquez PHI 27.6% 11.2% 2.46 30.8% 14.1% 2.18
Wei-Yin Chen FLA 19.2% 9.1% 2.11 20.8% 9.6% 2.17
Yovani Gallardo SEA 16.2% 6.4% 2.53 22.2% 6.7% 3.31
Amir Garrett CIN
Kyle Freeland COL
Zack Wheeler NYM


There are no outliers outside of guys who threw fewer than 15 innings last season.

ERA Estimators Chart (2016 LG AVG – 4.34 ERA – 4.30 SIERA – 4.24 xFIP – 4.30 FIP)

How a pitcher’s ERA matches up against his defense independent estimators.

Pitcher Team Season
ERA
Season
SIERA
DIFF Season
xFIP
DIFF Season
FIP
DIFF Season
DRA
DIFF ERA
L30
SIERA
L30
DIFF xFIP
L30
DIFF FIP
L30
DIFF
A.J. Griffin TEX 5.07 4.63 -0.44 5.01 -0.06 5.74 0.67 6.04 0.97 9 4.79 -4.21 5.2 -3.8 8.21 -0.79
Brett Anderson CHC 11.91 5.1 -6.81 4.94 -6.97 7.91 -4 6.48 -5.43 4.91 4.46 -0.45 4.05 -0.86 4.24 -0.67
Derek Holland CHW 4.95 5.1 0.15 5.14 0.19 4.75 -0.2 5.13 0.18 5.96 5.19 -0.77 5.09 -0.87 5.97 0.01
Francisco Liriano TOR 4.69 4.38 -0.31 4.23 -0.46 4.89 0.2 4.51 -0.18 1.35 3 1.65 2.9 1.55 3.11 1.76
Hyun-Jin Ryu LOS 11.57 4.81 -6.76 4.86 -6.71 5.5 -6.07 7.37 -4.20
Ivan Nova PIT 4.17 3.76 -0.41 3.7 -0.47 4.11 -0.06 3.96 -0.21 3.24 3.11 -0.13 2.86 -0.38 2.1 -1.14
Jason Vargas KAN 2.25 3.96 1.71 4.28 2.03 3.15 0.9 3.61 1.36 2.25 3.96 1.71 4.28 2.03 3.15 0.9
Jesse Chavez ANA 4.43 3.59 -0.84 4.1 -0.33 4.49 0.06 4.01 -0.42 6.14 3.61 -2.53 3.55 -2.59 5.74 -0.4
Jimmy Nelson MIL 4.62 4.92 0.3 4.91 0.29 5.12 0.5 5.64 1.02 5.53 5.23 -0.3 5.21 -0.32 6.04 0.51
Josh Tomlin CLE 4.4 4.24 -0.16 4.13 -0.27 4.88 0.48 4.40 0.00 1.69 4.59 2.9 4.15 2.46 2.88 1.19
Luis Perdomo SDG 5.71 4.04 -1.67 4 -1.71 4.84 -0.87 5.19 -0.52 5.23 3.66 -1.57 3.35 -1.88 5.63 0.4
Luis Severino NYY 5.83 4.06 -1.77 4.04 -1.79 4.48 -1.35 3.79 -2.04 2.41 4.7 2.29 5.27 2.86 4 1.59
Matt Andriese TAM 4.37 3.9 -0.47 3.98 -0.39 3.78 -0.59 3.63 -0.74 5.06 3.91 -1.15 4.07 -0.99 3.71 -1.35
Matt Cain SFO 5.64 4.67 -0.97 4.81 -0.83 5.14 -0.5 5.52 -0.12 3.18 2.5 -0.68 3.03 -0.15 1.56 -1.62
Max Scherzer WAS 2.96 3.05 0.09 3.37 0.41 3.24 0.28 2.81 -0.15 3.29 3.48 0.19 3.72 0.43 3.46 0.17
Michael Fulmer DET 3.06 4.03 0.97 3.95 0.89 3.76 0.7 3.42 0.36 4.76 4.18 -0.58 4.29 -0.47 3.78 -0.98
Mike Fiers HOU 4.48 4.26 -0.22 4.12 -0.36 4.43 -0.05 5.14 0.66 5.47 4.09 -1.38 3.82 -1.65 3.92 -1.55
Mike Foltynewicz ATL 4.31 4.13 -0.18 4.18 -0.13 4.24 -0.07 4.31 0.00 4.3 3.69 -0.61 3.8 -0.5 1.99 -2.31
Mike Leake STL 4.69 3.92 -0.77 3.76 -0.93 3.83 -0.86 4.23 -0.46 5.47 4.27 -1.2 3.98 -1.49 3.55 -1.92
Phil Hughes MIN 5.95 5.04 -0.91 5.05 -0.9 5.08 -0.87 6.50 0.55
Raul Alcantara OAK 7.25 4.85 -2.4 5.58 -1.67 8.21 0.96 6.85 -0.40 7.25 4.85 -2.4 5.58 -1.67 8.21 0.96
Shelby Miller ARI 6.15 5.13 -1.02 5.06 -1.09 4.87 -1.28 6.61 0.46 4.21 4.9 0.69 4.85 0.64 3.15 -1.06
Steven Wright BOS 3.33 4.55 1.22 4.57 1.24 3.77 0.44 3.99 0.66
Ubaldo Jimenez BAL 5.44 4.75 -0.69 4.64 -0.8 4.43 -1.01 4.89 -0.55 2.31 3.83 1.52 3.83 1.52 3.52 1.21
Vince Velasquez PHI 4.12 3.62 -0.5 3.67 -0.45 3.96 -0.16 2.57 2.91 0.34 3.24 0.67 4.58 2.01
Wei-Yin Chen FLA 4.96 4.14 -0.82 4.18 -0.78 4.5 -0.46 4.65 -0.31 4.73 3.44 -1.29 3.45 -1.28 3.9 -0.83
Yovani Gallardo SEA 5.42 5.34 -0.08 5.22 -0.2 5.04 -0.38 5.79 0.37 4.43 4.36 -0.07 4.06 -0.37 3.79 -0.64
Amir Garrett CIN
Kyle Freeland COL
Zack Wheeler NYM


Of the night slate pitchers, most of the outliers were guys who over-shot already pretty awful estimators. In fact, there’s not a single guy (with more than a few innings) who beat his estimators last season.

BABIP & Statcast Chart (2016 LG AVG – .298 BABIP – 44.3 GB% – 20.9 LD% – 9.5 IFFB% – 87.2 Z-Contact%)

A few years back, both Dan Rosencheck and Steve Staude separately found that high Infield Fly Ball (IFFB) rates and low Zone Contact (Z-Contact) rates correlated well with lower BABIP for pitchers. I won’t pretend to know how much of the variation in BABIP can be explained by these factors, but since they seem to have some effect, here they are. See if you can use it to your advantage.

It’s presented as the difference between team and pitcher BABIP allowed because team defense can explain a lot of the variance from league average on its own. A pitcher with a much lower BABIP than his team allows is a red flag absent further supporting evidence, while a pitcher with a much higher BABIP than his team allows may have something to offer in the future, especially with the right indicators.

Pitcher Team Team BABIP Pitcher BABIP Diff GB% Pitcher LD% Pitcher IFFB% Pitcher Zcontact Exit
Velocity
Barrels
BBE
Barrels
PA
BBE
A.J. Griffin TEX 0.292 0.274 -0.018 29.1% 0.231 13.9% 84.9% 90.1 9.10% 5.50% 308
Brett Anderson CHC 0.255 0.429 0.174 50.0% 0.288 0.0% 95.0% 88 6.70% 4.80% 45
Derek Holland CHW 0.298 0.295 -0.003 38.3% 0.217 10.6% 87.7% 88.8 7.10% 4.80% 309
Francisco Liriano TOR 0.282 0.296 0.014 52.0% 0.178 4.3% 88.6% 88.9 6.60% 3.70% 407
Hyun-Jin Ryu LOS 0.288 0.412 0.124 41.2% 0.235 0.0% 85.7%
Ivan Nova PIT 0.306 0.306 0 53.6% 0.188 8.6% 93.1% 91.3 6.80% 4.40% 438
Jason Vargas KAN 0.298 0.219 -0.079 36.4% 0.152 12.5% 84.3%
Jesse Chavez ANA 0.301 0.316 0.015 42.9% 0.177 9.0% 86.9% 89.7 7.80% 5.00% 179
Jimmy Nelson MIL 0.300 0.299 -0.001 49.4% 0.193 12.2% 88.5% 89.5 6.00% 3.50% 467
Josh Tomlin CLE 0.289 0.276 -0.013 43.8% 0.21 7.9% 91.4% 88.2 7.50% 5.50% 530
Luis Perdomo SDG 0.296 0.341 0.045 59.0% 0.197 3.8% 90.2% 90.4 5.90% 3.80% 427
Luis Severino NYY 0.292 0.324 0.032 45.1% 0.237 11.9% 86.8% 90.2 7.00% 4.50% 200
Matt Andriese TAM 0.297 0.304 0.007 42.9% 0.19 11.5% 89.3% 92.2 8.10% 5.30% 347
Matt Cain SFO 0.287 0.321 0.034 37.3% 0.239 16.8% 88.0% 89.8 8.00% 4.80% 238
Max Scherzer WAS 0.288 0.255 -0.033 33.0% 0.192 13.1% 79.0% 87.7 6.80% 3.70% 484
Michael Fulmer DET 0.300 0.268 -0.032 49.1% 0.194 11.2% 84.7% 89 6.40% 3.90% 391
Mike Fiers HOU 0.306 0.313 0.007 42.2% 0.259 12.9% 86.4% 90.6 7.00% 4.70% 486
Mike Foltynewicz ATL 0.293 0.301 0.008 41.2% 0.214 11.0% 85.3% 89.3 7.10% 4.40% 323
Mike Leake STL 0.304 0.318 0.014 53.7% 0.21 4.1% 92.7% 89.6 6.70% 4.60% 524
Phil Hughes MIN 0.319 0.323 0.004 35.4% 0.239 10.6% 89.9% 92.4 8.70% 6.60% 195
Raul Alcantara OAK 0.299 0.306 0.007 39.5% 0.173 8.6% 91.9% 93.5 19.70% 13.60% 71
Shelby Miller ARI 0.320 0.340 0.02 41.9% 0.226 9.1% 88.1% 90.6 9.90% 6.30% 292
Steven Wright BOS 0.293 0.279 -0.014 43.7% 0.194 9.5% 78.1% 87.4 3.20% 2.00% 404
Ubaldo Jimenez BAL 0.299 0.318 0.019 49.0% 0.18 9.1% 87.8% 89.3 5.80% 3.30% 361
Vince Velasquez PHI 0.304 0.325 0.021 34.8% 0.24 12.1% 83.1% 89 8.90% 4.70% 292
Wei-Yin Chen FLA 0.303 0.302 -0.001 40.5% 0.214 6.8% 87.4% 90.2 9.10% 6.20% 352
Yovani Gallardo SEA 0.292 0.303 0.011 43.2% 0.201 6.6% 91.1% 89.6 4.80% 3.00% 332
Amir Garrett CIN 0.290
Kyle Freeland COL 0.317
Zack Wheeler NYM 0.308


Again, among night slaters, the largest BABIP gap here is Luis Severino at 32 points. There’s really not much to see here other than the Statcast stuff.

Pitcher Notes & Summary

daily%20pitcher%20chart%202

Here we rank pitchers by value tiers with their overall rank in parenthesis next to the name for the top five to ten. These are not hard and rigid rankings. Everything is fluid and can change depending on ever evolving situations throughout the day. This is the more opinionated part. If there are questions, it’ll help show you where my imaginary boundaries are drawn.

Value Tier One

There is no Tier One today. You’re all Tier One readers for playing today, for suffering through this article. Anyone who tortured themselves writing about this wretched pitching slate deserves a Tier One spot. The highlight is three freaking paragraphs about Shelby knuckle dragging (literally, he dragged his knuckles on pitches last year) Miller. Oh, there will be even worse days, but they’re generally going to be shorter slates.

Value Tier Two

Francisco Liriano (1) is surprisingly the most expensive pitcher on either site and he’s only $8K on FanDuel. No matter what you do, you’re going to be able to afford bats tonight. The upside is certainly there and he faces a team that strikes out a lot. There was definite improvement after his reunion with Martin last year.

Value Tier Three

Shelby Miller merited three paragraphs above. Okay, I’m not really sure he merited it, but he got because today is otherwise so uninteresting. It’s a tough matchup, even with a top half of the order bat benched, but I’m perfectly willing to give interesting a shot today and see what happens.

Mike Fiers is like green eggs and ham. I don’t want him, but then I look at the alternatives and realize there’s not much better available and he only costs $7.5K in a nice matchup.

Value Tier Four – These guys seem basically in line with their price tag. They are either barely usable and shouldn’t hurt you too much, but might not help you much either or have such a wide range of outcomes that you can’t see much benefit beyond the risk.

Matt Andriese has some upside at a low price, but a dangerous matchup.

Mike Leake is not a particularly bad pitcher, but his low strikeout rate usually makes him unusable for DFS purposes. The odds are in his favor for at least a quality start tonight, if not much else, at home in a nice spot at a low cost.

Amir Garrett can be used at a very low cost in a reasonable spot. He’s a fairly well thought of prospect, who might not yet be a finished product, but gets the benefit of not having been seen by the other team today. That’s often a thing that works in a debuting pitcher’s favor. That said, I don’t see much reason to need a pitcher priced this low today. Your likely able to afford any two pitchers you want on DraftKings.

You can find me on twitter @FreelanceBBall for any questions, comments, or insults.

NOTE: Button for pitcher salary chart above opens in popup window

About the Author

MTro86
Matt Trollo (MTro86)

Matt has written for ReupSports in the past where he developed his unique pitching charts. He probably watches and reads more about baseball than any normal human being would find enjoyable, accumulating an incredible wealth of mostly useless knowledge, while he patiently waits for his jedi powers to manifest. In addition to writing the Advanced Pitching Charts column for RotoGrinders, MTro86 also heads up the premium MLB News Alerts during baseball season.