Advanced Stats - Pitching: Wednesday, May 31st

Today, only one pitcher makes his first major league start (as opposed to three yesterday), while another makes his second. Maybe we’re not taking the element of surprise seriously enough. Yesterday, the three first time starters allowed a total of three runs in 17.2 innings (and maybe still counting as the west coast games are still going on) with five walks and 13 strikeouts. While the peripherals aren’t exceptional, they’re certainly acceptable at a low cost.

It seems like we so often see these debuting pitchers make good in their first start. Teams now have more access to all kinds of information about minor league pitchers, so they shouldn’t be taken by surprise, but perhaps there’s just something about pitching to major league hitters for the first time. Maybe our default should be to recommend every single debuting pitcher or first time starter unless there’s a significant reason outside of talent projection to do so.

Barring that concept, I’m sorry to say it’s all top priced arms tonight. There are some great arms on the mound tonight in great spots and that’s not a bad thing, but the deep analysis may not even be very necessary today because it’s Scherzer, deGrom and Archer and there doesn’t seem to be much worth the effort on the bottom half of the board. I don’t think I’ve ever written an article before where the only pitchers recommended were the top priced ones. That changes today.

As always, don’t forget to check lineups, umpire assignments, line movement, ownership projections and weather forecast 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.

Legend

Starting Pitching Main Chart

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+
Aaron Nola PHI 11.1 3.52 5.72 52.2% 0.94 3.46 4.22 MIA 92 91 118
Antonio Senzatela COL 2.6 4.76 6.2 46.6% 0.89 4.5 4.53 SEA 109 108 115
Austin Bibens-Dirkx TEX 0.7 4.17 30.3% 1.11 7.45 4.17 TAM 104 115 127
Carlos Martinez STL -10.2 3.7 6.27 55.0% 0.98 3.62 3.44 LOS 95 113 113
Chad Kuhl PIT -5.8 4.61 4.79 41.3% 0.97 5.69 4.44 ARI 73 106 69
Chris Archer TAM -0.1 3.37 6.23 45.3% 1.11 3.82 1.89 TEX 105 99 91
Dan Straily MIA 4.8 4.59 5.73 33.3% 0.94 5.15 3.83 PHI 74 87 51
David Paulino HOU -3.5 6.29 3. 43.5% 1.04 6.67 MIN 99 108 88
Drew Pomeranz BOS 0.4 3.59 5.38 44.8% 0.98 3.92 2.19 CHW 107 130 127
Hector Santiago MIN 11 4.91 5.42 32.4% 1.04 5.35 5.43 HOU 121 102 153
Hyun-Jin Ryu LOS -1.3 4.19 5.03 47.8% 0.98 4.64 4.04 STL 95 80 81
Ian Kennedy KAN 8.5 4.04 5.83 35.3% 1.06 4.72 6.12 DET 83 94 88
Jacob deGrom NYM -4.1 3.26 6.3 45.0% 0.91 3.24 2.88 MIL 96 97 72
Jaime Garcia ATL 5.4 3.87 5.92 57.7% 0.91 4.42 3.53 ANA 109 96 83
Jake Arrieta CHC 3.4 3.4 6.53 52.8% 0.91 3.85 2.76 SDG 75 82 76
James Paxton SEA 5.3 3.53 5.76 46.4% 0.89 3.45 COL 91 91 81
Jesse Chavez ANA -4.1 3.99 5.59 44.2% 0.91 3.95 4.7 ATL 91 94 70
Junior Guerra MIL -5.8 4.35 5.91 45.8% 0.91 4.29 4.87 NYM 86 101 118
Kevin Gausman BAL -3.4 3.99 5.76 44.0% 1.02 4.04 4.64 NYY 108 120 95
Luis Perdomo SDG -9.1 3.85 5.72 60.5% 0.91 4.1 4.19 CHC 85 87 76
Masahiro Tanaka NYY 0 3.65 6.33 48.3% 1.02 3.94 2.55 BAL 85 91 59
Matt Boyd DET 4.3 4.67 5. 38.0% 1.06 4.45 4.92 KAN 79 67 82
Matt Cain SFO 2.1 4.84 5.16 38.5% 0.93 4.45 5.42 WAS 102 111 88
Max Scherzer WAS -6 2.86 6.76 34.3% 0.93 3.71 2.82 SFO 74 74 69
Mike Bolsinger TOR -2.4 4.49 4.85 0.492 1.03 5.09 6.01 CIN 101 102 95
Mike Clevinger CLE -8.8 4.59 4.5 0.389 1.09 4.83 2.96 OAK 84 104 92
Mike Pelfrey CHW -2.7 4.97 5.2 0.498 0.98 4.64 3.06 BOS 115 100 122
Sean Manaea OAK -7.8 3.98 5.66 0.461 1.09 3.67 3.35 CLE 111 93 138
Tim Adleman CIN 20.7 4.66 5.26 0.384 1.03 4.81 5.03 TOR 100 96 159
Zack Godley ARI -5 4.08 5.46 0.543 0.97 3.68 4.05 PIT 92 89 106


Carlos Martinez has gone at least six innings with three runs or less in six straight starts, striking out at least seven in four of those starts and nine last time out in Colorado. His walk issues appear to be ironed out as well with two or fewer in four of his last five starts. That’s good because the Dodgers are not only an offense that hits RHP hard, but they are patient with a 10.2 BB% against RHP too. He still has some issues with LHBs. They have a just a .307 wOBA with a 50 GB% against him, but also a 10.4 K-BB% and 38.8 Hard%.

Chris Archer has struck out at least 11 in four of his last five starts. He’s maintained his season 38% hard hit rate over that span and has an 89.3 mph aEV on the season, but that’s less of a concern when you’re striking out so many batters. Texas is an average offense, magnified by the park (34.3 Hard%, 15.6 HR/FB at home).

Drew Pomeranz struck out a season high 11 Rangers in his last start, the first time he’d gone more than four innings in four starts. His 20.3 K-BB% now tops last season when he started strong before taking a step back after the transition from San Diego to Boston. He threw nearly twice as many cutters (11.5%) in his last start as he had in any other. His 35.3 Hard% almost matches his 38.5 GB%, which could be a bit toubling against the top offense in baseball against LHP (17.9 K%). The White Sox even got to Chris Sale a bit last night.

Jacob deGrom has a 32.2 K% and 15.3 SwStr%, both marks just the second on the slate. He pitched into the ninth, striking out 10 Pirates last time out and with the Mets playing 12 innings last night, he may be asked to do some work again after showing he can handle it. He has at least nine Ks in six of his last eight and faces the Brewers (24 K% vs RHP). He has had occasional issues with walks (9.0%) and HRs (eight) that he hasn’t had in the past, which is where Milwaukee could cause some trouble (18 HR/FB vs RHP), but it’s not nearly enough to be very concerned about.

Masahiro Tanaka was considered a risk prior to his last start, as he’d really been struggling through May with a 10.50 ERA and 10 HRs through four starts. Then he strikes out 13 of 27 A’s with a 22.3 SwStr% and everything seems fine. That finally moved his strikeout rate above 20% for the season with a 13.9 SwStr% that still suggests quite a bit more. It feels strange to type this, but he has a really favorable matchup in Baltimore against a struggling offense, who have not performed as expected against RHP at home. They have a 30.8 K% and 23.5 Hard% over the last week.

Max Scherzer is one of the easiest pitchers to evaluate. I sometimes can’t find enough words to say about him because it’s so easy. He finished one out from a complete game with 13 Ks last time out, the third time he’s gone at least eight innings this year. Sure, 10 HRs over his last seven starts, but still an ERA and SIERA below three with a 33.3 K%. The Giants don’t strike out a lot, but facing them in San Francisco may provide the top run prevention spot. He might get that complete game tonight. His 108 pitches last time out was only his fourth highest pitch total of the season.

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 (.288 BABIP – 73.4 LOB% – 13.3 HR/FB)

Jaime Garcia (.242 – 73.5% – 12.5) is still generating ground balls at a 54.2 GB%, but the sub-four ERA masks the career low 6.0 K-BB%. The Angels may actually reduce strikeouts without Trout.

Mike Pelfrey (.234 – 64.9% – 12.8)

Antonio Senzatela (.249 – 79.8% – 11.7)

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

Jesse Chavez is in a nice spot at home against Atlanta, but has allowed five HRs over his last two starts (13 for the year) and has struck out just 17% of batters in May. He’s one of a few arms that could serve as an SP2 in a pinch though.

Junior Guerra has a $2.2K cost differential between sites. He returned from a nearly two month layoff with 5.2 innings against the Diamondbacks with five strikeouts and three walks. The Mets don’t strike out a lot, but he’s probably another guy that can be plugged in as a cheap SP2 on DraftKings if necessary. He surprised with a league average 11.6 K-BB% last year, though the .250 BABIP and 8.3 HR/FB made his ERA look a bit better than his estimators.

Hyun-Jin Ryu is still missing bats reasonable well, but has only twice completed six innings this season with mixed results. Three times he’s failed to even go five innings. While he’s struck out at least seven twice, he also allowed three HRs in one of those starts, while going just 5.1 innings in the other. Something always seems to be holding him back. He’s gotten through more than 90 pitches four times, so it’s not as much about the team limiting his work load, though he did throw just 79 and 51 pitches in his last two outings (the last in long relief). He does have a nice matchup tonight against an offense that really struggles with LHP (5.9 HR/FB) and may be reasonable for those in need of a cheap SP2.

James Paxton returns in a nice spot at home against Colorado for his first start in nearly a month, but forearm injuries are concerning and he saw just 16 batters in his lone AA rehab start.

Austin Bibens-Dirkx is a 32 year-old rookie with 11.1 innings out of the bullpen for Texas with an average 13.1 K-BB%, but 30.3 GB% and 36.4 Hard% that may not fly well in that park against an offense with some power. Three of his four outings have been on the road and two of them lasted at least four innings. He threw 84 pitches in his last start, so he may be able to get through five or six innings tonight. I know what I said in the open, but still have a hard time pulling the trigger here. Two of his outings have been like starts already, but if you want to plug him into an SP2 spot, who can argue?

Ian Kennedy has almost as many HRs allowed (five) as strikeouts (eight) in three May starts interrupted for a few weeks by injury. He’s also walked six of 53 batters.

Matt Boyd

Kevin Gausman

Matt Cain

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%
Aaron Nola Phillies L2 Years 23.2% 6.3% Road 21.7% 6.3% L14 Days 18.9% 7.6%
Antonio Senzatela Rockies L2 Years 14.7% 7.2% Road 16.5% 8.3% L14 Days 16.0% 8.0%
Austin Bibens-Dirkx Rangers L2 Years 19.6% 6.5% Home 20.0% 0.0% L14 Days 19.6% 6.5%
Carlos Martinez Cardinals L2 Years 23.2% 8.3% Home 21.3% 6.2% L14 Days 24.6% 5.3%
Chad Kuhl Pirates L2 Years 17.7% 7.4% Home 14.6% 11.6% L14 Days 17.7% 4.8%
Chris Archer Rays L2 Years 28.1% 7.9% Road 24.8% 8.6% L14 Days 41.1% 5.4%
Dan Straily Marlins L2 Years 21.1% 9.7% Home 20.6% 10.3% L14 Days 29.2% 10.4%
David Paulino Astros L2 Years 6.9% 10.3% Road 6.9% 10.3% L14 Days
Drew Pomeranz Red Sox L2 Years 27.3% 9.1% Road 25.4% 9.8% L14 Days 40.5% 7.1%
Hector Santiago Twins L2 Years 18.7% 9.5% Home 18.7% 8.8% L14 Days 15.4% 7.7%
Hyun-Jin Ryu Dodgers L2 Years 20.9% 9.0% Road 18.3% 10.8% L14 Days 13.5% 5.4%
Ian Kennedy Royals L2 Years 23.3% 8.1% Home 22.7% 7.7% L14 Days 15.6% 15.6%
Jacob deGrom Mets L2 Years 27.1% 6.2% Home 30.5% 8.8% L14 Days 31.7% 6.7%
Jaime Garcia Braves L2 Years 19.3% 7.4% Road 18.1% 9.4% L14 Days 21.3% 7.5%
Jake Arrieta Cubs L2 Years 25.6% 7.6% Road 21.5% 7.5% L14 Days 30.6% 4.1%
James Paxton Mariners L2 Years 24.5% 5.9% Home 24.7% 5.8% L14 Days
Jesse Chavez Angels L2 Years 20.2% 7.0% Home 22.5% 6.1% L14 Days 13.6% 4.6%
Junior Guerra Brewers L2 Years 20.6% 8.6% Road 21.5% 9.4% L14 Days 20.8% 12.5%
Kevin Gausman Orioles L2 Years 21.1% 6.5% Home 20.4% 6.6% L14 Days 12.7% 1.8%
Luis Perdomo Padres L2 Years 17.2% 6.9% Home 15.2% 6.8% L14 Days 16.3% 6.1%
Masahiro Tanaka Yankees L2 Years 21.2% 4.5% Road 17.7% 5.4% L14 Days 35.4% 6.3%
Matt Boyd Tigers L2 Years 17.9% 8.0% Road 18.9% 7.6% L14 Days 10.5% 6.0%
Matt Cain Giants L2 Years 16.4% 8.4% Home 18.4% 8.4% L14 Days 7.3% 7.3%
Max Scherzer Nationals L2 Years 31.5% 5.5% Road 30.1% 6.8% L14 Days 36.5% 9.6%
Mike Bolsinger Blue Jays L2 Years 19.7% 10.5% Home 15.6% 11.1% L14 Days 13.7% 17.7%
Mike Clevinger Indians L2 Years 23.3% 12.7% Home 22.4% 15.2% L14 Days 30.6% 6.1%
Mike Pelfrey White Sox L2 Years 11.3% 7.3% Home 13.4% 4.6% L14 Days 23.8% 2.4%
Sean Manaea Athletics L2 Years 22.0% 7.2% Road 23.1% 6.1% L14 Days 23.9% 2.2%
Tim Adleman Reds L2 Years 17.9% 7.5% Road 14.4% 6.0% L14 Days 16.0% 12.0%
Zack Godley Diamondbacks L2 Years 19.8% 8.8% Road 18.3% 6.5% L14 Days 14.3% 4.1%

K/BB Chart – Opponent

Opponent Split K% BB% Split K% BB% Split K% BB%
Marlins Home 19.5% 8.4% RH 20.1% 6.9% L7Days 19.4% 9.0%
Mariners Home 19.3% 10.5% RH 20.5% 8.9% L7Days 21.1% 7.4%
Rays Road 28.0% 10.0% RH 26.2% 9.5% L7Days 23.1% 8.5%
Dodgers Road 22.4% 10.4% RH 22.6% 10.2% L7Days 26.7% 10.2%
Diamondbacks Road 25.2% 8.2% RH 23.1% 8.5% L7Days 23.6% 5.9%
Rangers Home 21.3% 9.6% RH 22.4% 9.0% L7Days 28.4% 7.2%
Phillies Road 23.7% 7.5% RH 22.3% 8.3% L7Days 24.0% 8.7%
Twins Home 21.8% 11.8% RH 21.9% 10.8% L7Days 24.3% 10.4%
White Sox Home 21.9% 8.4% LH 17.9% 9.2% L7Days 25.0% 6.9%
Astros Road 18.9% 9.2% LH 18.0% 9.9% L7Days 14.3% 7.7%
Cardinals Home 21.4% 9.9% LH 22.6% 10.2% L7Days 18.3% 9.3%
Tigers Road 25.5% 10.1% RH 23.7% 10.4% L7Days 26.1% 10.7%
Brewers Road 22.8% 8.3% RH 24.0% 8.5% L7Days 25.1% 9.0%
Angels Home 18.0% 8.3% LH 19.8% 9.4% L7Days 18.7% 8.8%
Padres Home 22.7% 9.0% RH 25.4% 7.5% L7Days 29.1% 7.0%
Rockies Road 23.3% 7.5% LH 23.4% 6.6% L7Days 18.1% 7.5%
Braves Road 20.4% 7.7% RH 20.3% 8.2% L7Days 20.0% 6.2%
Mets Home 19.5% 9.5% RH 19.1% 9.2% L7Days 18.7% 8.8%
Yankees Road 21.3% 9.0% RH 22.4% 9.5% L7Days 20.6% 8.4%
Cubs Road 23.0% 10.4% RH 22.1% 9.0% L7Days 25.8% 10.3%
Orioles Home 21.2% 8.2% RH 22.8% 6.8% L7Days 30.8% 5.6%
Royals Home 19.2% 7.6% LH 18.4% 7.7% L7Days 19.5% 6.5%
Nationals Road 20.8% 8.9% RH 19.6% 9.5% L7Days 20.6% 7.6%
Giants Home 19.1% 6.9% RH 19.7% 7.1% L7Days 17.1% 9.6%
Reds Road 18.8% 7.6% RH 20.6% 8.2% L7Days 21.7% 7.1%
Athletics Road 25.1% 8.8% RH 24.2% 9.2% L7Days 32.1% 6.4%
Red Sox Road 18.2% 9.6% RH 18.1% 9.3% L7Days 18.1% 10.9%
Indians Home 19.3% 10.1% LH 17.3% 10.5% L7Days 16.5% 9.5%
Blue Jays Home 19.5% 8.5% RH 19.8% 7.5% L7Days 14.9% 9.4%
Pirates Home 19.3% 9.4% RH 18.4% 8.7% L7Days 21.7% 8.0%

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%
Aaron Nola Phillies L2 Years 28.2% 13.6% 5.9% 2017 24.4% 12.0% -2.3% Road 27.9% 3.8% 4.7% L14 Days 21.1% 16.7% -13.1%
Antonio Senzatela Rockies L2 Years 28.1% 11.7% 13.5% 2017 28.1% 11.7% 13.5% Road 25.4% 9.5% 9.9% L14 Days 37.8% 12.5% 27.0%
Austin Bibens-Dirkx Rangers L2 Years 36.4% 11.8% 18.2% 2017 36.4% 11.8% 18.2% Home 33.3% 0.0% 0.0% L14 Days 36.4% 11.8% 18.2%
Carlos Martinez Cardinals L2 Years 29.4% 10.3% 9.0% 2017 32.8% 15.1% 11.2% Home 27.3% 13.5% 6.8% L14 Days 35.0% 6.7% 12.5%
Chad Kuhl Pirates L2 Years 33.7% 8.7% 15.9% 2017 34.7% 8.5% 19.7% Home 36.1% 13.3% 23.1% L14 Days 31.3% 15.0% 12.5%
Chris Archer Rays L2 Years 33.5% 13.0% 16.5% 2017 38.3% 8.8% 23.0% Road 35.1% 18.3% 17.4% L14 Days 46.7% 12.5% 30.0%
Dan Straily Marlins L2 Years 32.8% 11.5% 16.3% 2017 36.7% 10.1% 14.4% Home 34.4% 8.4% 19.1% L14 Days 41.4% 12.5% 24.2%
David Paulino Astros L2 Years 26.1% 0.0% 4.4% 2017 Road 26.1% 0.0% 4.4% L14 Days
Drew Pomeranz Red Sox L2 Years 30.7% 14.0% 10.0% 2017 35.3% 17.8% 13.4% Road 31.2% 11.3% 10.8% L14 Days 36.4% 12.5% 22.8%
Hector Santiago Twins L2 Years 36.7% 11.8% 20.7% 2017 37.6% 11.8% 23.0% Home 39.0% 13.7% 22.4% L14 Days 42.5% 17.4% 30.0%
Hyun-Jin Ryu Dodgers L2 Years 34.3% 23.1% 13.1% 2017 32.8% 24.2% 9.3% Road 31.3% 17.6% 11.0% L14 Days 41.4% 25.0% 13.8%
Ian Kennedy Royals L2 Years 36.6% 13.2% 20.2% 2017 36.8% 13.8% 20.6% Home 39.5% 10.7% 22.8% L14 Days 40.9% 27.3% 31.8%
Jacob deGrom Mets L2 Years 30.5% 11.2% 10.5% 2017 35.3% 16.0% 13.5% Home 29.3% 11.4% 7.2% L14 Days 30.6% 10.0% 5.6%
Jaime Garcia Braves L2 Years 28.8% 14.2% 7.7% 2017 28.1% 12.5% 2.4% Road 29.8% 13.5% 7.0% L14 Days 21.1% 14.3% -3.5%
Jake Arrieta Cubs L2 Years 25.2% 10.4% 2.5% 2017 33.1% 16.1% 10.4% Road 30.2% 15.5% 8.1% L14 Days 38.7% 16.7% 19.3%
James Paxton Mariners L2 Years 32.2% 6.6% 17.7% 2017 29.8% 0.0% 14.9% Home 31.3% 5.3% 18.4% L14 Days
Jesse Chavez Angels L2 Years 32.6% 16.5% 15.7% 2017 36.3% 20.0% 21.2% Home 29.7% 18.1% 12.9% L14 Days 45.7% 41.7% 34.3%
Junior Guerra Brewers L2 Years 32.7% 9.8% 12.3% 2017 22.7% 22.2% -4.6% Road 30.3% 9.8% 9.7% L14 Days 25.0% 14.3% 6.2%
Kevin Gausman Orioles L2 Years 30.3% 14.7% 10.3% 2017 32.6% 14.5% 12.9% Home 29.1% 12.7% 8.2% L14 Days 31.9% 16.7% 14.9%
Luis Perdomo Padres L2 Years 33.1% 21.4% 16.9% 2017 29.6% 20.0% 15.2% Home 33.8% 20.0% 16.4% L14 Days 46.0% 30.0% 35.2%
Masahiro Tanaka Yankees L2 Years 31.8% 15.9% 13.2% 2017 32.4% 22.8% 13.6% Road 30.4% 12.4% 9.9% L14 Days 42.9% 30.0% 21.5%
Matt Boyd Tigers L2 Years 34.0% 14.4% 16.7% 2017 40.8% 12.3% 24.6% Road 32.7% 12.1% 16.4% L14 Days 48.2% 25.0% 37.5%
Matt Cain Giants L2 Years 32.8% 13.1% 13.6% 2017 31.1% 7.8% 13.9% Home 30.8% 10.8% 10.9% L14 Days 31.9% 8.3% 12.7%
Max Scherzer Nationals L2 Years 29.2% 12.8% 8.0% 2017 25.6% 13.2% 5.1% Road 31.4% 13.4% 8.9% L14 Days 29.6% 23.1% 11.1%
Mike Bolsinger Blue Jays L2 Years 31.0% 16.0% 14.2% 2017 23.5% 10.5% 8.8% Home 33.3% 11.1% 20.8% L14 Days 28.6% 20.0% 17.2%
Mike Clevinger Indians L2 Years 31.1% 12.7% 13.6% 2017 30.8% 11.1% 15.4% Home 32.0% 10.5% 15.5% L14 Days 38.7% 18.2% 25.8%
Mike Pelfrey White Sox L2 Years 30.0% 10.9% 9.7% 2017 28.5% 12.8% 3.5% Home 33.7% 19.3% 13.8% L14 Days 25.8% 11.1% 3.2%
Sean Manaea Athletics L2 Years 33.3% 12.8% 13.6% 2017 32.4% 8.8% 7.6% Road 34.9% 16.7% 13.0% L14 Days 30.3% 7.7% 3.0%
Tim Adleman Reds L2 Years 33.5% 14.1% 18.7% 2017 30.2% 14.9% 13.8% Road 34.4% 11.9% 19.7% L14 Days 14.3% 0.0% -14.3%
Zack Godley Diamondbacks L2 Years 30.8% 17.0% 14.1% 2017 27.4% 13.3% 10.7% Road 21.0% 12.9% -4.4% L14 Days 25.0% 11.1% 7.5%

Batted Ball Charts – Opponent

Opponent Split Hard% HR/FB% Hd-St% Split Hard% HR/FB% Hd-St% Split Hard% HR/FB% Hd-St%
Marlins Home 32.5% 15.1% 11.1% RH 31.2% 13.3% 11.0% L7Days 31.2% 17.3% 7.6%
Mariners Home 28.7% 10.7% 7.9% RH 30.1% 11.5% 11.7% L7Days 35.4% 7.8% 18.7%
Rays Road 36.3% 18.2% 17.9% RH 36.6% 17.7% 19.1% L7Days 37.2% 17.9% 22.1%
Dodgers Road 32.8% 9.9% 16.8% RH 34.9% 14.0% 20.4% L7Days 35.9% 18.3% 22.7%
Diamondbacks Road 29.0% 12.8% 9.0% RH 36.8% 16.1% 20.6% L7Days 27.3% 9.4% 4.6%
Rangers Home 34.3% 15.6% 15.2% RH 33.1% 14.7% 12.7% L7Days 30.0% 15.0% 7.1%
Phillies Road 28.9% 10.9% 6.4% RH 29.0% 11.0% 6.7% L7Days 23.8% 14.0% 0.7%
Twins Home 33.2% 10.6% 16.8% RH 33.8% 13.3% 18.4% L7Days 34.3% 8.1% 16.5%
White Sox Home 27.3% 12.2% 6.4% LH 30.7% 13.7% 12.6% L7Days 27.6% 20.0% 7.5%
Astros Road 31.0% 12.4% 13.5% LH 25.0% 14.7% 5.4% L7Days 30.9% 17.8% 16.4%
Cardinals Home 29.9% 9.9% 9.6% LH 33.1% 5.9% 16.2% L7Days 29.9% 10.3% 9.2%
Tigers Road 35.5% 12.1% 18.3% RH 41.4% 11.9% 25.8% L7Days 33.3% 10.8% 17.1%
Brewers Road 28.9% 16.8% 10.0% RH 33.2% 18.0% 14.0% L7Days 31.8% 10.3% 9.8%
Angels Home 28.8% 13.8% 9.4% LH 31.7% 8.3% 16.0% L7Days 35.0% 12.9% 18.9%
Padres Home 26.4% 10.7% 3.1% RH 28.6% 14.0% 6.2% L7Days 27.0% 9.4% 4.9%
Rockies Road 31.2% 13.0% 10.9% LH 32.2% 17.2% 12.8% L7Days 26.4% 10.9% 2.0%
Braves Road 31.4% 11.3% 13.7% RH 31.3% 10.9% 13.8% L7Days 32.6% 4.1% 21.0%
Mets Home 32.3% 8.4% 12.6% RH 35.0% 11.8% 17.3% L7Days 42.9% 10.1% 25.9%
Yankees Road 30.1% 12.8% 11.5% RH 31.2% 17.3% 11.4% L7Days 29.9% 10.8% 7.4%
Cubs Road 28.1% 11.8% 8.4% RH 29.7% 12.1% 12.9% L7Days 24.5% 13.4% 4.5%
Orioles Home 26.5% 12.2% 5.4% RH 29.6% 14.3% 9.2% L7Days 23.5% 11.6% 0.7%
Royals Home 30.2% 9.3% 10.7% LH 28.6% 9.6% 9.5% L7Days 29.9% 10.9% 11.4%
Nationals Road 30.2% 13.7% 11.5% RH 31.4% 14.2% 14.1% L7Days 28.9% 10.6% 9.6%
Giants Home 24.3% 7.6% 3.0% RH 29.2% 9.6% 7.9% L7Days 30.6% 6.6% 10.9%
Reds Road 28.6% 14.2% 8.0% RH 28.7% 13.4% 8.6% L7Days 28.5% 25.0% 11.4%
Athletics Road 36.0% 11.7% 17.9% RH 35.9% 16.1% 19.9% L7Days 33.3% 15.9% 18.1%
Red Sox Road 34.1% 12.9% 15.6% RH 36.3% 9.7% 19.3% L7Days 34.1% 16.1% 17.6%
Indians Home 32.0% 14.5% 16.4% LH 32.0% 12.0% 14.1% L7Days 33.3% 17.3% 19.3%
Blue Jays Home 30.6% 13.2% 11.0% RH 31.2% 15.1% 10.9% L7Days 36.4% 24.6% 19.6%
Pirates Home 30.5% 9.9% 9.1% RH 30.0% 9.8% 8.1% L7Days 34.2% 13.0% 11.4%

K/SwStr Chart (2017 LG AVG – 20.5 K% – 9.6 SwStr% – 2.14 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%
Aaron Nola PHI 20.5% 11.1% 1.85 18.9% 8.6% 2.20
Antonio Senzatela COL 14.7% 6.1% 2.41 15.2% 6.7% 2.27
Austin Bibens-Dirkx TEX 19.6% 8.9% 2.20 19.6% 8.9% 2.20
Carlos Martinez STL 26.5% 11.2% 2.37 23.4% 9.6% 2.44
Chad Kuhl PIT 17.8% 11.3% 1.58 18.6% 10.4% 1.79
Chris Archer TAM 29.5% 12.9% 2.29 34.8% 13.7% 2.54
Dan Straily MIA 24.6% 12.0% 2.05 21.9% 12.8% 1.71
David Paulino HOU
Drew Pomeranz BOS 29.2% 10.1% 2.89 29.0% 11.2% 2.59
Hector Santiago MIN 16.5% 8.1% 2.04 14.2% 6.8% 2.09
Hyun-Jin Ryu LOS 21.5% 10.9% 1.97 20.9% 10.8% 1.94
Ian Kennedy KAN 20.7% 8.8% 2.35 15.1% 6.6% 2.29
Jacob deGrom NYM 32.2% 15.3% 2.10 30.2% 13.0% 2.32
Jaime Garcia ATL 16.2% 10.1% 1.60 19.4% 10.9% 1.78
Jake Arrieta CHC 26.1% 10.8% 2.42 24.6% 10.4% 2.37
James Paxton SEA 30.0% 13.8% 2.17 23.1% 9.5% 2.43
Jesse Chavez ANA 18.8% 8.5% 2.21 17.0% 7.2% 2.36
Junior Guerra MIL 25.7% 15.3% 1.68 20.8% 15.3% 1.36
Kevin Gausman BAL 14.9% 9.0% 1.66 16.7% 8.7% 1.92
Luis Perdomo SDG 22.0% 10.5% 2.10 24.2% 10.6% 2.28
Masahiro Tanaka NYY 21.1% 13.9% 1.52 25.2% 15.5% 1.63
Matt Boyd DET 15.1% 8.3% 1.82 13.4% 7.4% 1.81
Matt Cain SFO 15.0% 5.6% 2.68 11.0% 4.1% 2.68
Max Scherzer WAS 33.3% 15.7% 2.12 36.3% 16.3% 2.23
Mike Bolsinger TOR 14.0% 7.2% 1.94 14.0% 7.2% 1.94
Mike Clevinger CLE 28.1% 13.3% 2.11 28.1% 13.3% 2.11
Mike Pelfrey CHW 12.2% 6.2% 1.97 14.4% 5.7% 2.53
Sean Manaea OAK 26.0% 13.6% 1.91 26.5% 13.3% 1.99
Tim Adleman CIN 20.5% 11.0% 1.86 18.3% 10.4% 1.76
Zack Godley ARI 21.5% 13.5% 1.59 20.2% 13.7% 1.47


Drew Pomeranz has had a 15+ SwStr% in two of his last three starts and has been in double digits in four of six, but his SwStr% probably does not support a strikeout rate close to 30%.

Masahiro Tanaka generally runs on the low end of K/SwStr, but not this low and we saw what he’s capable of last time out.

ERA Estimators Chart (2017 LG AVG – 4.14 ERA – 4.20 SIERA – 4.15 xFIP – 4.23 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
Aaron Nola PHI 4.34 4.06 -0.28 3.92 -0.42 3.79 -0.55 3.05 -1.29 4.15 4.22 0.07 4.22 0.07 4.64 0.49
Antonio Senzatela COL 3.19 4.76 1.57 4.55 1.36 4.37 1.18 6.42 3.23 3.6 4.92 1.32 4.56 0.96 4.69 1.09
Austin Bibens-Dirkx TEX 3.97 4.17 0.2 5.06 1.09 4.79 0.82 5.03 1.06 3.97 4.17 0.2 5.06 1.09 4.79 0.82
Carlos Martinez STL 3.32 3.61 0.29 3.44 0.12 3.64 0.32 2.44 -0.88 2.23 3.66 1.43 3.5 1.27 3.52 1.29
Chad Kuhl PIT 6.29 4.74 -1.55 4.97 -1.32 4.16 -2.13 4.38 -1.91 6.04 4.25 -1.79 4.11 -1.93 4.13 -1.91
Chris Archer TAM 3.61 3.34 -0.27 3.32 -0.29 2.79 -0.82 1.83 -1.78 3.35 2.7 -0.65 2.57 -0.78 2.18 -1.17
Dan Straily MIA 3.83 4.31 0.48 4.71 0.88 4.21 0.38 3.10 -0.73 3.54 4.65 1.11 5.12 1.58 4.6 1.06
David Paulino HOU
Drew Pomeranz BOS 4.7 3.45 -1.25 3.39 -1.31 4 -0.7 3.79 -0.91 5.24 3.6 -1.64 3.54 -1.7 3.52 -1.72
Hector Santiago MIN 4.31 5.14 0.83 5.52 1.21 5.25 0.94 6.14 1.83 6.41 5.86 -0.55 6.09 -0.32 7.23 0.82
Hyun-Jin Ryu LOS 4.28 4.11 -0.17 4.04 -0.24 5.23 0.95 5.74 1.46 3.86 4.68 0.82 4.65 0.79 4.58 0.72
Ian Kennedy KAN 4.43 4.83 0.4 5.14 0.71 5.25 0.82 5.15 0.72 10.32 5.66 -4.66 6.49 -3.83 9.2 -1.12
Jacob deGrom NYM 3.23 3.12 -0.11 2.85 -0.38 3.14 -0.09 2.02 -1.21 3.62 3.34 -0.28 3 -0.62 3.34 -0.28
Jaime Garcia ATL 3.58 4.8 1.22 4.49 0.91 4.42 0.84 5.69 2.11 3.12 3.98 0.86 3.73 0.61 3.68 0.56
Jake Arrieta CHC 4.92 3.45 -1.47 3.59 -1.33 4.02 -0.9 3.85 -1.07 5.2 3.6 -1.6 3.94 -1.26 3.71 -1.49
James Paxton SEA 1.43 3.18 1.75 3.1 1.67 1.51 0.08 1.87 0.44 1.69 5.57 3.88 4.87 3.18 3.59 1.9
Jesse Chavez ANA 5.09 4.38 -0.71 4.39 -0.7 5.38 0.29 4.66 -0.43 5.72 4.43 -1.29 4.5 -1.22 6.24 0.52
Junior Guerra MIL 3.12 3.75 0.63 4.11 0.99 5.34 2.22 3.16 0.04 1.59 4.87 3.28 4.96 3.37 5.15 3.56
Kevin Gausman BAL 6.17 5.05 -1.12 5.14 -1.03 5.36 -0.81 7.12 0.95 4.5 4.38 -0.12 4.42 -0.08 4.44 -0.06
Luis Perdomo SDG 5.61 3.22 -2.39 3.25 -2.36 3.77 -1.84 4.94 -0.67 6 3.18 -2.82 3.23 -2.77 4.14 -1.86
Masahiro Tanaka NYY 5.86 3.87 -1.99 3.89 -1.97 5.18 -0.68 4.11 -1.75 7.82 3.34 -4.48 3.33 -4.49 6.5 -1.32
Matt Boyd DET 5.4 5.08 -0.32 4.86 -0.54 4.73 -0.67 6.83 1.43 6.92 4.86 -2.06 4.52 -2.4 4.87 -2.05
Matt Cain SFO 4.45 5.2 0.75 5.03 0.58 4.22 -0.23 6.88 2.43 6.59 5.94 -0.65 5.65 -0.94 4.6 -1.99
Max Scherzer WAS 2.77 2.85 0.08 3.29 0.52 3.29 0.52 1.95 -0.82 2.6 2.51 -0.09 2.87 0.27 3.49 0.89
Mike Bolsinger TOR 5.75 5.75 0 5.9 0.15 5.58 -0.17 7.83 2.08 5.75 5.75 0 5.9 0.15 5.58 -0.17
Mike Clevinger CLE 2.82 4.15 1.33 3.78 0.96 3.56 0.74 2.66 -0.16 2.82 4.15 1.33 3.78 0.96 3.56 0.74
Mike Pelfrey CHW 4.41 5.17 0.76 5.04 0.63 4.99 0.58 3.78 -0.63 4.21 4.6 0.39 4.41 0.2 4.7 0.49
Sean Manaea OAK 4.35 3.84 -0.51 3.85 -0.5 3.39 -0.96 2.48 -1.87 3.18 3.75 0.57 3.78 0.6 3.5 0.32
Tim Adleman CIN 4.95 4.34 -0.61 4.54 -0.41 4.8 -0.15 5.71 0.76 5.11 4.86 -0.25 4.75 -0.36 4 -1.11
Zack Godley ARI 1.99 3.67 1.68 3.24 1.25 3.25 1.26 3.27 1.28 1.69 3.49 1.8 3.07 1.38 2.91 1.22


Drew Pomeranz has a BABIP more than 40 points above his career .280 rate. Defense and home park aren’t doing him many favors (though he’s not home tonight). His line drive rate is a bit elevated as well. His 17.8 HR/FB is a career high outside of a few starts for Colorado in 2013.

Masahiro Tanaka has a career high .331 BABIP more than 50 points above his career rate with a 22.8 HR/FB. His BABIP profile actually looks strong, while he does have a 15.1 career HR/FB.

BABIP & Statcast Chart (2017 LG AVG – .288 BABIP – 44.3 GB% – 20.3 LD% – 9.0 IFFB% – 86.6 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
Aaron Nola PHI 0.291 0.325 0.034 53.5% 0.174 8.0% 82.5% 86 4.70% 3.30% 86
Antonio Senzatela COL 0.288 0.249 -0.039 46.6% 0.217 6.7% 90.4% 86.8 6.80% 5.20% 192
Austin Bibens-Dirkx TEX 0.286 0.194 -0.092 30.3% 0.182 5.9% 91.8% 86.2 12.10% 8.70% 33
Carlos Martinez STL 0.290 0.258 -0.032 51.2% 0.176 11.3% 86.0% 87.2 5.80% 3.70% 171
Chad Kuhl PIT 0.308 0.352 0.044 36.8% 0.222 5.1% 85.1% 87.7 6.10% 4.50% 147
Chris Archer TAM 0.276 0.305 0.029 42.0% 0.204 13.2% 80.9% 89.3 6.00% 3.70% 183
Dan Straily MIA 0.275 0.205 -0.07 35.0% 0.146 20.3% 83.6% 86 7.20% 4.50% 139
David Paulino HOU 0.282
Drew Pomeranz BOS 0.311 0.324 0.013 38.5% 0.231 8.9% 86.2% 89.3 10.10% 6.30% 119
Hector Santiago MIN 0.272 0.262 -0.01 32.4% 0.193 11.8% 86.5% 90.6 10.30% 7.60% 174
Hyun-Jin Ryu LOS 0.290 0.324 0.034 48.7% 0.231 12.1% 84.5% 86.4 9.20% 6.20% 119
Ian Kennedy KAN 0.300 0.193 -0.107 38.5% 0.12 6.9% 83.9% 90 12.80% 8.60% 117
Jacob deGrom NYM 0.317 0.324 0.007 43.5% 0.24 10.0% 74.8% 86.9 5.10% 3.00% 156
Jaime Garcia ATL 0.282 0.242 -0.04 54.2% 0.173 8.3% 88.2% 85.6 4.70% 3.40% 171
Jake Arrieta CHC 0.297 0.340 0.043 41.1% 0.209 11.3% 81.1% 86.1 8.00% 5.30% 163
James Paxton SEA 0.286 0.277 -0.009 39.8% 0.226 11.4% 77.3% 85.6 2.10% 1.30% 94
Jesse Chavez ANA 0.280 0.277 -0.003 44.1% 0.196 4.6% 85.7% 89.2 9.50% 6.90% 179
Junior Guerra MIL 0.313 0.100 -0.213 47.6% 0.095 0.0% 81.6%
Kevin Gausman BAL 0.306 0.350 0.044 42.4% 0.215 11.6% 85.6% 89.1 9.80% 7.50% 193
Luis Perdomo SDG 0.299 0.362 0.063 65.9% 0.152 8.0% 93.1% 88.1 6.10% 4.20% 132
Masahiro Tanaka NYY 0.284 0.331 0.047 48.0% 0.194 15.8% 85.2% 89.6 10.80% 7.70% 176
Matt Boyd DET 0.302 0.349 0.047 44.1% 0.237 12.3% 86.3% 88.2 7.80% 5.90% 179
Matt Cain SFO 0.305 0.303 -0.002 43.3% 0.208 9.4% 89.7% 87.6 3.90% 2.90% 180
Max Scherzer WAS 0.299 0.247 -0.052 34.6% 0.157 7.9% 77.7% 86.4 6.40% 3.70% 156
Mike Bolsinger TOR 0.300 0.318 0.018 57.4% 0.147 10.5% 90.8% 89.2 5.90% 4.00% 68
Mike Clevinger CLE 0.303 0.240 -0.063 41.2% 0.235 11.1% 84.7% 85.8 7.70% 4.50% 52
Mike Pelfrey CHW 0.267 0.234 -0.033 45.2% 0.209 7.7% 88.3% 86.8 6.00% 4.80% 116
Sean Manaea OAK 0.284 0.243 -0.041 53.8% 0.135 2.9% 86.5% 87.6 5.70% 3.50% 105
Tim Adleman CIN 0.275 0.266 -0.009 42.1% 0.167 4.3% 84.3% 86.6 6.10% 4.20% 115
Zack Godley ARI 0.287 0.244 -0.043 66.2% 0.143 6.7% 88.4% 83.1 6.00% 4.10% 84


Carlos Martinez has a decent profile, but a hard hit rate above 30% with his 50% ground ball rate. With a .304 career BABIP and not a quality defense behind him, expect that number to rise, but perhaps the career high 15.1 HR/FB will decrease as well.

Chris Archer has a nice BABIP profile and a career .289 rate, so there may be some room for a bit of improvement there.

Max Scherzer has a strong BABIP profile even with the lower popup rate so far. He’s generated more than 30 each of the last few years and because he’s such an extreme fly ball pitcher (49.7%), he’s still on pace for around 20 this season. While it’s never been this low, his BABIP has been below .270 in three of the previous four seasons, so the upward regression may not be by that much.

Pitcher Notes & Summary

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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.

As mentioned above, these are all the top priced guys. There are a few cheaper SP2 options on DraftKings that might seem reasonable if necessary, but they’re generally low upside with some risk and I’m not looking to force something that’s not there.

Value Tier One

Max Scherzer (1) has some competition in deGrom and Archer in terms of projected strikeout rate, but I’d almost be surprised if he didn’t go at least eight innings, which may still give him the highest overall strikeout total.

Jacob deGrom (2) has some HR problems, but may project for the top strikeout rate on the board in this matchup and that’s with the guy above him on the same slate.

Value Tier Two

Masahiro Tanaka (4) is one of the most dangerous, but also least expensive pitchers in consideration tonight in a spot that few people may trust him in, but the numbers tell us has been much less of concern this year. He seems to have fixed whatever issues he had last time out. He just stopped throwing fastballs altogether (16.2%) with 65% sliders and split-fingers.

Value Tier Three

Chris Archer (3) is just the third highest priced pitcher with 11 strikeouts in four of his last five. He could run into some trouble in that park, but may still be able to pay off even with some hard contact with his 21.1 K-BB%. Texas has a 79 sOPS+ (third worst) with a 35.6 K% vs power pitchers.

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.

Carlos Martinez (5) has been pitching very well and has the upside to cover a $10K price tag, but has a tough matchup against an offense with quite a bit of LH power.

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.