Advanced Stats – Pitching: Friday, August 18th

(Takes a quick glance at pulled stats for Friday’s scheduled starters…) Yes, this is good. This is fine. We have Scherzer and Kluber and even Keuchel looked better last time out. Hill is in Detroit, but there’s Godley on the road. I like that guy! We get to end the work week (not really, I’ll be here tomorrow) with its best slate (in terms of quality pitching at least).

As always, don’t forget to check lineups, umpire assignments, line movement, ownership projections and the 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. All of these things are 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+
Andrew Cashner TEX 1.8 4.86 5.39 48.1% 1.11 4.6 4.72 CHW 92 88 116
Andrew Heaney ANA 2 4.4 5.42 36.9% 1.02 BAL 103 96 141
Austin Pruitt TAM -0.5 4.09 5.22 47.5% 0.96 4.17 4.41 SEA 94 102 124
Carlos Martinez STL -1.5 3.85 6.24 54.1% 0.97 3.8 3.19 PIT 91 86 70
Chris Flexen NYM -1.6 5.99 4.05 42.6% 0.91 5.73 5.61 MIA 99 96 128
Corey Kluber CLE 0.3 3.11 6.71 44.2% 1.06 3.16 2.42 KAN 90 92 132
Dallas Keuchel HOU -5.5 3.54 6.44 59.0% 0.94 3.19 5.05 OAK 88 87 123
Drew Pomeranz BOS 5.4 3.87 5.59 44.3% 1.13 3.57 3.81 NYY 99 87 97
Erasmo Ramirez SEA 7.4 4.06 5.3 49.1% 0.96 4.38 5.71 TAM 101 102 62
Ervin Santana MIN -0.2 4.36 6.32 42.3% 1.04 4.45 3.94 ARI 82 100 95
German Marquez COL -3.9 4.26 5.57 44.0% 1.39 3.95 5.21 MIL 94 93 144
Ian Kennedy KAN 7.2 4.23 5.75 35.3% 1.06 4.91 4.47 CLE 101 103 112
J.A. Happ TOR -1.9 4.05 5.95 43.3% 0.96 4.38 4.65 CHC 105 107 137
Jake Arrieta CHC 3.2 3.69 6.31 52.2% 0.96 3.64 4.13 TOR 93 90 84
James Shields CHW -0.1 5.01 5.56 40.1% 1.11 5.57 3.26 TEX 110 101 153
Jeremy Hellickson BAL -5.1 4.53 5.69 38.1% 1.02 4.34 3.64 ANA 83 95 73
Jordan Montgomery NYY 2.4 4.22 5.5 41.1% 1.13 4.61 3.59 BOS 94 100 106
Jordan Zimmermann DET 1.7 4.73 5.7 39.3% 0.98 5.23 6.61 LOS 102 109 110
Justin Nicolino MIA 4.9 5.31 5.47 46.1% 0.91 4.49 6.91 NYM 89 95 84
Luis Perdomo SDG -5.4 4.15 5.69 60.2% 0.91 4.17 5.06 WAS 99 104 84
Matt Garza MIL -1.6 4.92 5.27 48.1% 1.39 4.73 6.3 COL 90 80 102
Matt Moore SFO -3 4.48 5.87 38.6% 0.93 4.47 2.86 PHI 76 83 75
Max Scherzer WAS 1 2.85 6.75 35.3% 0.91 3.47 2.65 SDG 89 88 92
R.A. Dickey ATL -1.8 4.86 6.02 44.6% 1 4.83 4.92 CIN 94 99 118
Rich Hill LOS 2.8 3.39 5.56 0.432 0.98 3.25 2.91 DET 114 123 119
Sal Romano CIN 7.3 5.01 4.78 0.483 1 4.02 4.58 ATL 86 86 90
Sean Manaea OAK -11.2 4.18 5.63 0.44 0.94 4.14 7.58 HOU 123 120 90
Trevor Williams PIT -2.4 4.54 5.47 0.491 0.97 4.42 4.52 STL 95 99 134
Zach Eflin PHI 2.2 5.21 5.82 0.395 0.93 5.57 4.76 SFO 79 81 76
Zack Godley ARI -5.4 3.96 5.73 0.533 1.04 3.3 4.14 MIN 100 98 126


Carlos Martinez struggled through four straight starts of five strikeouts or less, but has struck out at least seven in each of his last four with a 59.1 GB% and 7.5 Hard-Soft%, though his .333 BABIP and 21.1 HR/FB over this span has his ERA above four and a half. While the Pirates may present an issue from a strikeout standpoint (17.8% at home, 18.5% vs RHP), they present opportunity in a lineup that is mostly right-handed in a park that crushes RH power (9.2 HR/FB at home, 10.0 HR/FB vs RHP, 4.7 HR/FB last seven days). They have an 88 sOPS+ against ground ball pitchers. There’s a good chance this works out well for him from a run suppression standpoint.

Corey Kluber failed to reach double digit strikeouts for the first time the break last time out with a mere nine in Tampa Bay of all places. He’s gone at least seven innings in 10 of his last 12 with at least eight strikeouts in 14 straight and 17 of 18. He has double digit strikeouts in 12 of his last 16. His 39.3 K% and 18.3 SwStr% over the last month are tops on the board. He has allowed a HR in six straight starts, encompassing seven of his 15 this year, but that streak could come to an end in Kansas City. It’s a positive run environment and the Royals have been hitting well, so it’s not necessarily a traditionally favorable spot, but nobody should be really worried.

Dallas Keuchel pitched 6.2 innings of one run ball with seven strikeouts in Texas last time out, just what everyone was waiting for. Ground balls have been there since his return (56.5%), but his hard contact rate has been above 33% in three of four starts and this was his first time with more than three strikeouts, though he’s now had a double digit SwStr% in three of four starts. For the season, he has a 64.5 GB% and -2.3 Hard-Soft% with a 14.3 K-BB%. The A’s strike out a quarter of the time on the road and vs LHP. They have just a 10.4 HR/FB vs LHP and 20.9 K-BB% over the last week.

Drew Pomeranz has the sixth highest strikeout rate on the board (24.4%), though his pedestrian game log probably wouldn’t lead you to that conclusion immediately. He just continually fires off quality starts if anything sensationalistic. Contact has been about average and he’s in an unlikely reasonable spot at home against the Yankees, where the park is the real problem. The Yankees have struggled against LHP (23.5 K%, 7.0 Hard-Soft%). Despite just coming off a four game sweep of the Mets, they have just a 6.0 Hard-Soft% over the last week.

Max Scherzer has returned from a neck issue to throw seven innings of two run ball in two straight with 19 strikeouts. He’s in San Diego tonight. Are more numbers even necessary?

Rich Hill sits behind only Scherzer and Kluber in strikeout rate today and has at least eight strikeouts in six of his last seven starts. His 83.6 mph aEV is lowest on the board and his 28.6% 95+ mph EV is second. That’s generally enough. His issues are workload and matchup tonight. He threw 101 pitches in his last start, his second above 100 this year. That may actually work against him tonight, but who knows. A good guess would be 90 to 95. The Tigers don’t strike out much against LHP (18.4%) and hammer them (23.4 Hard-Soft%), especially at home (31.5 Hard-Soft%). Sure, that takes a hit with their hardest hitter gone, but there are still some hard hitting RH bats.

Zack Godley has the third highest SwStr% on the board, which he combines with a 55.7 GB%. He has a 3.4 Hard-Soft% on the road. While Minnesota is not really a favorable matchup here, most spots outside of Arizona are going to be an upgrade. The Twins are a poor offense against ground ball pitchers (84 sOPS+) and have an 18.8 K-BB% over the last week.

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 (.297 BABIP – 72.2 LOB% – 14.4 HR/FB)

Ervin Santana (.233 – 80.4% – 13.3) does have the fourth highest SwStr rate (14%) on the board over the last month and he is facing a high strikeout offense (24.4% on the road, 23.6% vs RHP), so while I’m always going to think he’s over-priced, this may be as close as he’ll come to making our list.

R.A. Dickey (.276 – 75.7% – 13.6) has an 11.6% unearned run rate, though nothing else is really out of line. He’s been generating fewer strikeouts recently (six of his last 50 batters with a 6.2 SwStr%). There is some value in a guy who has given you seven innings in seven of his last 12 starts though. His 28% 95+ mph EV is lowest on the board too. Thirteen of his 19 HRs have come at home though.

Andrew Cashner (.274 – 76.9% – 7.9) has a 3.2 K-BB% and is somehow suppressing HRs in Texas at about half the league rate. His ground ball rate is 50%, which helps with the barrels (3.5% of BBEs), but his average exit velocity and hard hit rate are both average. This may be the flukiest season in the majors, beating all of his estimators by something close to two runs. The White Sox are actually the seventh best offense vs ground ball pitchers (112 sOPS+).

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

Erasmo Ramirez struck out five of 16 batters in his first start for Seattle, but just three of his last 45 with just a 4.9 SwStr% last time out, the only of the three starts in which he did not allow multiple HRs. His 88.2 mph aEV is not ideal and he’s facing an offense with some power, but just a 6.9 HR/FB over the last week. The Rays are also one of five offense that strike out around a quarter of the time in their home/road and LH/RH splits today. I don’t hate him as an SP2.

Austin Pruitt has a 14.0 K-BB% through four starts since being inserted into the rotation, but has struck out just 11 of his last 72 batters with a SwStr rate below 6% in each of his last three starts. His 35.7 Hard% is a bit high, but 50.7% of his contact has been on the ground. His .242 BABIP and 82.5 LOB% over these four starts have held his ERA down, but there may be some merit in his use as an SP2 at a low price in a somewhat neutral spot, hosting the Mariners (87 sOPS+ vs ground ball pitchers = 23rd).

Jordan Montgomery does have a strength in his ability to miss bats, but has completed six innings just twice in his last eight starts and in none of his last three. The Red Sox have a 17.3 K% vs LHP.

Luis Perdomo has struck out more than four in just three of his last 15 starts, though his SwStr% has remained viable and above 9% in three straight starts. His 61.7 GB% is less than a point among the top qualified pitcher (Marcus Stroman), but has been below 40% three of his last six starts (two of his last three). He’d only been below 50% once previously. The issue has been an inability to generate weak ground balls, driving his BABIP up well above .300 despite a low line drive rate.

Matt Moore has one of the top matchups on the board. He’s even struck out six or more in four of his last five starts with a season high nine last time out in Washington, but did allow a 41.2% hard hit rate. His Statcast numbers are atrocious, though in a six start stretch leading into his last outing, he had a hard hit rate of 22.1%. I think I could consider him in an SP2 role for $5K on DraftKings.

Andrew Heaney returns from Tommy John surgery after three starts at AA (33.3 K-BB%) and three starts at AAA (14.3 K-BB%). He has an 11.9 K-BB% through 141 major league innings. He’s been a bit of a fly ball pitcher (40 GB%) with about one-third of his contact hard hit (33.4%). That’s not ideal in Baltimore (17.0 K-BB% vs LHP, 16.3 HR/FB at home), one of the hotter offenses in the league over the last week.

Trevor Williams has done a decent job of generating weak contact (85 mph aEV, 28.6% 95+ mph EV) in a favorable park, but there’s just not enough bat missing in his game in a somewhat neutral spot.

German Marquez is in a high strikeout spot against the Brewers, but also the worst one on the board at Coors and it’s not even particularly close. The Brewers have a 31.0 HR/FB over the last week and 19.0 HR/FB vs RHP (17.2 HR/FB on the road). After three straight starts with at least nine strikeouts, he’s struck out just 12 of his last 72 batters.

Jeremy Hellickson

Ian Kennedy has just a 7.3 SwStr% over the last month. His 89.5 mph aEV and 10.2% Barrels/BBE are both highest on the board. Cleveland has a 113 sOPS+ (third) against fly ball pitchers.

Sal Romano

Sean Manaea is in Houston, but WTF happened here? He came out of the break with his highest velocity game of the season (93.4 mph), striking out eight, but has been steadily dropping ever since, to his lowest mark of the season (90.3 mph) last time out.

Matt Garza

James Shields has been missing some bats over the last month, but may be in the second toughest spot on the board. The Rangers have a 27.3 Hard-Soft% over the last month.

Zack Eflin is still below Garza in Colorado and Shields in Texas in a great matchup in San Francisco. That’s what a 12.9 K% will do to expectations.

Jordan Zimmermann

Justin Nicolino

Chris Flexen has nearly quadrupled his AA walk rate (3.9%) through four starts (14.6%). His SwStr% is average and his contact rates strong so far. There may still be something here.

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%
Andrew Cashner Rangers L2 Years 17.4% 10.0% Home 17.3% 8.4% L14 Days 14.8% 3.7%
Andrew Heaney Angels L2 Years 19.0% 8.0% Road L14 Days
Austin Pruitt Rays L2 Years 18.4% 5.3% Home 18.6% 5.3% L14 Days 16.7% 4.2%
Carlos Martinez Cardinals L2 Years 23.6% 8.5% Road 24.7% 10.6% L14 Days 25.0% 1.8%
Chris Flexen Mets L2 Years 15.9% 14.6% Home 16.7% 12.5% L14 Days 18.8% 14.6%
Corey Kluber Indians L2 Years 30.0% 6.3% Road 28.4% 5.6% L14 Days 36.1% 3.5%
Dallas Keuchel Astros L2 Years 22.2% 6.7% Home 21.4% 5.5% L14 Days 17.0% 11.3%
Drew Pomeranz Red Sox L2 Years 25.5% 8.7% Home 26.8% 8.3% L14 Days 23.2% 5.4%
Erasmo Ramirez Mariners L2 Years 17.8% 5.6% Road 15.5% 5.6% L14 Days 6.7% 2.2%
Ervin Santana Twins L2 Years 20.1% 7.5% Home 19.2% 7.4% L14 Days 23.1% 5.8%
German Marquez Rockies L2 Years 20.9% 7.4% Home 20.3% 6.5% L14 Days 16.7% 9.7%
Ian Kennedy Royals L2 Years 23.0% 8.4% Home 22.2% 8.7% L14 Days 22.6% 9.4%
J.A. Happ Blue Jays L2 Years 22.0% 7.1% Road 19.7% 7.4% L14 Days 26.5% 14.3%
Jake Arrieta Cubs L2 Years 24.6% 7.9% Home 26.4% 9.9% L14 Days 21.2% 5.8%
James Shields White Sox L2 Years 17.9% 10.4% Road 14.8% 10.2% L14 Days 28.0% 4.0%
Jeremy Hellickson Orioles L2 Years 17.9% 6.1% Home 19.1% 6.0% L14 Days 27.1% 6.3%
Jordan Montgomery Yankees L2 Years 22.8% 7.5% Road 20.0% 7.7% L14 Days 28.2% 7.7%
Jordan Zimmermann Tigers L2 Years 16.2% 6.2% Home 14.1% 5.6% L14 Days 6.4% 8.5%
Justin Nicolino Marlins L2 Years 10.3% 6.8% Road 12.9% 7.7% L14 Days 8.0% 16.0%
Luis Perdomo Padres L2 Years 16.5% 7.7% Home 15.5% 7.6% L14 Days 16.0% 10.0%
Matt Garza Brewers L2 Years 15.3% 8.4% Road 14.3% 6.6% L14 Days 13.2% 13.2%
Matt Moore Giants L2 Years 20.4% 8.3% Home 21.1% 6.7% L14 Days 29.6% 1.9%
Max Scherzer Nationals L2 Years 33.1% 6.0% Road 32.3% 6.8% L14 Days 35.9% 5.7%
R.A. Dickey Braves L2 Years 16.1% 8.1% Home 16.6% 8.0% L14 Days 12.0% 6.0%
Rich Hill Dodgers L2 Years 29.7% 8.2% Road 32.0% 6.7% L14 Days 36.2% 8.5%
Sal Romano Reds L2 Years 18.8% 11.1% Road 22.2% 8.9% L14 Days 13.9% 3.8%
Sean Manaea Athletics L2 Years 21.3% 7.1% Road 20.9% 5.9% L14 Days 4.0% 12.0%
Trevor Williams Pirates L2 Years 17.5% 7.5% Home 17.5% 6.7% L14 Days 23.5% 11.8%
Zach Eflin Phillies L2 Years 12.1% 5.1% Road 9.7% 5.7% L14 Days 16.0% 2.0%
Zack Godley Diamondbacks L2 Years 22.2% 8.5% Road 23.2% 6.4% L14 Days 24.1% 9.3%

K/BB Chart – Opponent

Opponent Split K% BB% Split K% BB% Split K% BB%
White Sox Road 21.9% 6.0% RH 22.7% 6.6% L7Days 20.4% 5.8%
Orioles Home 21.7% 7.2% LH 23.8% 6.8% L7Days 20.1% 5.0%
Mariners Road 19.8% 7.2% RH 20.9% 7.5% L7Days 18.3% 5.5%
Pirates Home 17.8% 9.0% RH 18.5% 8.3% L7Days 19.1% 8.0%
Marlins Road 20.4% 6.5% RH 20.5% 7.6% L7Days 14.2% 8.8%
Royals Home 18.9% 6.7% RH 20.3% 6.7% L7Days 17.7% 10.5%
Athletics Road 25.0% 9.2% LH 24.7% 8.8% L7Days 26.2% 5.3%
Yankees Road 22.3% 9.1% LH 23.5% 10.3% L7Days 21.4% 8.8%
Rays Home 25.9% 9.4% RH 24.9% 8.9% L7Days 23.8% 10.0%
Diamondbacks Road 24.4% 8.6% RH 23.6% 9.4% L7Days 30.7% 10.2%
Brewers Road 25.2% 8.5% RH 25.7% 8.5% L7Days 26.5% 10.5%
Indians Road 18.6% 9.5% RH 19.8% 9.5% L7Days 21.4% 10.5%
Cubs Home 21.8% 10.0% LH 21.9% 11.5% L7Days 24.0% 9.6%
Blue Jays Road 21.0% 9.4% RH 20.6% 8.7% L7Days 21.7% 7.8%
Rangers Home 22.0% 9.7% RH 23.7% 9.2% L7Days 20.5% 13.6%
Angels Road 20.6% 8.7% RH 19.5% 7.9% L7Days 15.2% 10.3%
Red Sox Home 18.5% 9.3% LH 17.3% 10.8% L7Days 22.4% 10.4%
Dodgers Road 22.5% 10.8% RH 22.4% 10.4% L7Days 15.3% 12.0%
Mets Home 20.5% 8.4% LH 24.3% 6.9% L7Days 27.4% 7.7%
Nationals Road 20.9% 8.6% RH 20.2% 9.0% L7Days 29.0% 8.1%
Rockies Home 21.4% 8.2% RH 22.6% 7.8% L7Days 18.8% 11.9%
Phillies Road 22.8% 7.4% LH 20.9% 7.9% L7Days 20.4% 7.3%
Padres Home 24.6% 8.4% RH 25.2% 7.6% L7Days 26.8% 8.2%
Reds Road 20.2% 8.6% RH 20.7% 9.3% L7Days 18.9% 14.5%
Tigers Home 19.3% 9.0% LH 18.4% 8.2% L7Days 18.1% 8.4%
Braves Home 19.7% 7.0% RH 19.7% 6.9% L7Days 16.4% 8.0%
Astros Home 16.7% 7.8% LH 17.2% 8.5% L7Days 18.8% 8.4%
Cardinals Road 21.9% 8.9% RH 21.8% 9.1% L7Days 21.5% 8.9%
Giants Home 18.9% 7.2% RH 19.3% 7.5% L7Days 17.7% 8.3%
Twins Home 21.7% 10.0% RH 22.5% 9.6% L7Days 25.1% 6.3%

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%
Andrew Cashner Rangers L2 Years 33.1% 11.3% 16.8% 2017 30.0% 7.9% 11.5% Home 32.6% 12.3% 17.5% L14 Days 38.1% 12.5% 19.0%
Andrew Heaney Angels L2 Years 30.6% 8.7% 15.3% 2017 Road L14 Days
Austin Pruitt Rays L2 Years 33.2% 10.5% 16.3% 2017 33.2% 10.5% 16.3% Home 32.9% 3.7% 20.0% L14 Days 36.8% 6.7% 21.0%
Carlos Martinez Cardinals L2 Years 31.2% 12.4% 12.3% 2017 33.0% 15.9% 14.3% Road 33.8% 11.1% 15.6% L14 Days 24.4% 20.0% 0.0%
Chris Flexen Mets L2 Years 32.7% 20.0% 9.1% 2017 32.7% 20.0% 9.1% Home 43.8% 33.3% 12.5% L14 Days 29.0% 16.7% 3.2%
Corey Kluber Indians L2 Years 29.1% 13.1% 8.8% 2017 30.9% 14.3% 8.7% Road 31.1% 12.6% 13.8% L14 Days 33.3% 15.0% 9.8%
Dallas Keuchel Astros L2 Years 28.0% 17.0% 3.9% 2017 25.0% 18.9% -2.3% Home 26.4% 11.3% 1.8% L14 Days 34.2% 18.2% 13.1%
Drew Pomeranz Red Sox L2 Years 31.7% 13.3% 11.4% 2017 31.9% 12.5% 9.5% Home 32.7% 15.8% 14.4% L14 Days 30.0% 14.3% 2.5%
Erasmo Ramirez Mariners L2 Years 33.2% 15.7% 15.7% 2017 40.5% 16.5% 25.2% Road 35.8% 23.6% 19.4% L14 Days 31.7% 18.8% 9.7%
Ervin Santana Twins L2 Years 29.6% 10.8% 10.5% 2017 29.9% 13.3% 8.8% Home 29.1% 13.2% 9.2% L14 Days 40.0% 9.1% 22.9%
German Marquez Rockies L2 Years 34.2% 11.0% 18.7% 2017 35.1% 10.3% 19.2% Home 31.7% 14.0% 16.3% L14 Days 30.8% 11.1% 9.6%
Ian Kennedy Royals L2 Years 37.5% 13.1% 21.4% 2017 39.4% 13.9% 26.6% Home 41.5% 12.1% 26.3% L14 Days 34.3% 21.4% 22.9%
J.A. Happ Blue Jays L2 Years 31.0% 11.3% 12.4% 2017 28.5% 15.2% 7.8% Road 28.5% 12.8% 8.1% L14 Days 17.2% 0.0% -3.5%
Jake Arrieta Cubs L2 Years 25.4% 11.7% 3.0% 2017 27.9% 13.6% 7.3% Home 24.0% 8.8% 0.8% L14 Days 24.3% 7.1% 13.5%
James Shields White Sox L2 Years 33.7% 17.7% 17.8% 2017 35.6% 17.3% 18.9% Road 34.8% 16.9% 16.9% L14 Days 38.2% 21.4% 35.3%
Jeremy Hellickson Orioles L2 Years 28.6% 12.9% 9.2% 2017 31.1% 12.9% 12.5% Home 24.9% 13.0% 3.3% L14 Days 37.5% 7.1% 18.7%
Jordan Montgomery Yankees L2 Years 27.4% 10.8% 11.2% 2017 27.4% 10.8% 11.2% Road 24.5% 12.0% 8.5% L14 Days 48.0% 12.5% 32.0%
Jordan Zimmermann Tigers L2 Years 32.6% 14.2% 15.9% 2017 38.3% 14.4% 24.4% Home 37.5% 13.9% 22.7% L14 Days 38.5% 17.6% 25.7%
Justin Nicolino Marlins L2 Years 30.6% 10.8% 13.1% 2017 29.8% 21.7% 20.2% Road 33.3% 17.9% 17.5% L14 Days 42.1% 0.0% 36.8%
Luis Perdomo Padres L2 Years 33.5% 19.7% 16.7% 2017 32.7% 16.9% 15.7% Home 33.7% 16.1% 15.8% L14 Days 33.3% 20.0% 22.2%
Matt Garza Brewers L2 Years 34.5% 12.3% 16.4% 2017 33.7% 12.4% 16.4% Road 31.6% 11.5% 11.9% L14 Days 36.7% 25.0% 20.4%
Matt Moore Giants L2 Years 32.0% 11.3% 15.9% 2017 35.1% 12.3% 19.5% Home 31.4% 10.8% 15.8% L14 Days 33.3% 27.3% 22.2%
Max Scherzer Nationals L2 Years 29.6% 12.2% 8.2% 2017 28.5% 11.9% 8.7% Road 32.0% 12.8% 10.3% L14 Days 32.3% 14.3% 9.7%
R.A. Dickey Braves L2 Years 27.7% 13.2% 5.7% 2017 26.0% 13.6% 2.3% Home 27.7% 15.9% 4.7% L14 Days 22.0% 16.7% 0.0%
Rich Hill Dodgers L2 Years 28.4% 8.6% 5.2% 2017 30.5% 12.9% 7.8% Road 26.0% 8.6% 1.8% L14 Days 42.3% 44.4% 30.8%
Sal Romano Reds L2 Years 34.7% 12.8% 15.3% 2017 34.7% 12.8% 15.3% Road 27.9% 5.9% 8.2% L14 Days 39.7% 11.8% 22.2%
Sean Manaea Athletics L2 Years 33.8% 12.5% 16.7% 2017 34.2% 11.0% 18.7% Road 34.5% 14.7% 15.9% L14 Days 47.6% 22.2% 42.8%
Trevor Williams Pirates L2 Years 29.6% 11.0% 5.5% 2017 29.4% 8.6% 4.5% Home 32.5% 4.7% 8.5% L14 Days 29.0% 0.0% 6.4%
Zach Eflin Phillies L2 Years 33.6% 15.4% 16.9% 2017 34.1% 17.5% 18.2% Road 37.5% 11.8% 21.8% L14 Days 31.7% 14.3% 14.6%
Zack Godley Diamondbacks L2 Years 29.6% 15.1% 11.0% 2017 27.6% 11.8% 7.2% Road 24.1% 11.9% -1.6% L14 Days 22.9% 16.7% 5.8%

Batted Ball Charts – Opponent

Opponent Split Hard% HR/FB% Hd-St% Split Hard% HR/FB% Hd-St% Split Hard% HR/FB% Hd-St%
White Sox Road 31.2% 14.3% 13.3% RH 30.5% 13.5% 11.3% L7Days 34.4% 23.4% 13.5%
Orioles Home 30.9% 16.3% 10.7% LH 34.2% 12.9% 15.7% L7Days 36.6% 12.5% 20.0%
Mariners Road 31.5% 11.6% 13.5% RH 30.3% 12.5% 12.2% L7Days 31.1% 11.7% 14.0%
Pirates Home 29.3% 9.2% 7.7% RH 29.8% 10.0% 8.8% L7Days 31.1% 4.7% 12.5%
Marlins Road 29.7% 14.5% 9.6% RH 31.6% 14.9% 11.7% L7Days 33.5% 14.3% 15.8%
Royals Home 30.4% 10.9% 10.1% RH 31.6% 12.3% 12.4% L7Days 35.2% 18.0% 22.7%
Athletics Road 34.7% 12.2% 16.3% LH 31.9% 10.4% 13.4% L7Days 30.9% 16.9% 14.4%
Yankees Road 30.7% 11.9% 11.8% LH 28.5% 12.1% 7.0% L7Days 27.6% 15.7% 6.0%
Rays Home 36.7% 14.9% 18.6% RH 34.7% 16.5% 16.4% L7Days 30.6% 6.9% 8.2%
Diamondbacks Road 30.9% 13.9% 11.0% RH 35.1% 15.0% 17.9% L7Days 32.2% 17.6% 18.1%
Brewers Road 30.9% 17.2% 12.7% RH 34.1% 19.0% 15.5% L7Days 40.2% 31.0% 24.6%
Indians Road 34.8% 12.3% 18.4% RH 33.8% 12.3% 16.8% L7Days 36.4% 16.0% 20.6%
Cubs Home 32.2% 17.7% 14.9% LH 29.5% 18.0% 9.4% L7Days 35.5% 24.2% 18.3%
Blue Jays Road 31.1% 14.8% 11.5% RH 30.4% 14.8% 10.5% L7Days 30.4% 15.2% 14.9%
Rangers Home 36.8% 18.1% 19.2% RH 34.8% 18.0% 16.4% L7Days 39.2% 22.8% 27.3%
Angels Road 32.4% 11.3% 13.0% RH 31.1% 13.0% 11.4% L7Days 31.6% 10.5% 9.5%
Red Sox Home 34.9% 10.3% 17.4% LH 31.7% 10.2% 9.0% L7Days 35.2% 18.4% 18.2%
Dodgers Road 34.6% 15.3% 18.8% RH 36.0% 15.3% 20.6% L7Days 36.4% 11.3% 20.1%
Mets Home 33.4% 11.6% 14.4% LH 35.6% 14.6% 15.4% L7Days 30.4% 19.7% 10.2%
Nationals Road 31.2% 15.5% 13.0% RH 31.8% 15.0% 14.9% L7Days 33.6% 15.7% 19.7%
Rockies Home 32.8% 16.7% 13.7% RH 30.3% 13.1% 10.1% L7Days 32.6% 15.8% 10.7%
Phillies Road 30.4% 10.2% 9.7% LH 28.7% 14.0% 7.7% L7Days 28.1% 11.9% 8.6%
Padres Home 29.3% 12.5% 6.9% RH 29.8% 14.0% 7.2% L7Days 33.5% 15.0% 10.3%
Reds Road 30.4% 14.1% 10.5% RH 29.7% 14.6% 9.0% L7Days 30.4% 19.0% 6.2%
Tigers Home 45.1% 13.3% 31.5% LH 39.1% 17.4% 23.4% L7Days 37.8% 13.6% 25.0%
Braves Home 29.3% 11.8% 9.7% RH 30.9% 11.3% 12.4% L7Days 33.8% 13.1% 16.1%
Astros Home 30.8% 15.5% 13.1% LH 29.5% 14.1% 10.3% L7Days 32.3% 7.9% 15.1%
Cardinals Road 32.0% 13.1% 14.5% RH 31.5% 12.8% 12.8% L7Days 36.9% 10.6% 20.6%
Giants Home 25.6% 5.9% 4.8% RH 28.3% 8.7% 7.0% L7Days 29.4% 5.6% 4.0%
Twins Home 33.7% 12.0% 17.1% RH 33.3% 12.7% 16.9% L7Days 34.0% 16.4% 23.5%

K/SwStr Chart (2017 LG AVG – 20.5 K% – 9.7 SwStr% – 2.1 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%
Andrew Cashner TEX 12.4% 5.8% 2.14 15.5% 5.5% 2.82
Andrew Heaney ANA
Austin Pruitt TAM 18.4% 9.0% 2.04 19.4% 7.2% 2.69
Carlos Martinez STL 25.9% 10.6% 2.44 24.2% 10.4% 2.33
Chris Flexen NYM 15.9% 9.7% 1.64 15.9% 9.7% 1.64
Corey Kluber CLE 35.8% 16.5% 2.17 39.3% 18.3% 2.15
Dallas Keuchel HOU 22.0% 10.3% 2.14 14.7% 9.6% 1.53
Drew Pomeranz BOS 24.4% 10.5% 2.32 20.5% 10.2% 2.01
Erasmo Ramirez SEA 18.4% 10.2% 1.80 15.6% 10.5% 1.49
Ervin Santana MIN 19.5% 10.2% 1.91 24.0% 14.0% 1.71
German Marquez COL 22.1% 9.5% 2.33 25.4% 11.7% 2.17
Ian Kennedy KAN 20.9% 8.9% 2.35 19.1% 7.3% 2.62
J.A. Happ TOR 22.2% 9.6% 2.31 21.0% 9.4% 2.23
Jake Arrieta CHC 23.0% 9.2% 2.50 24.0% 9.5% 2.53
James Shields CHW 18.4% 9.3% 1.98 21.6% 10.6% 2.04
Jeremy Hellickson BAL 14.8% 8.5% 1.74 22.5% 9.2% 2.45
Jordan Montgomery NYY 22.8% 12.9% 1.77 24.3% 10.5% 2.31
Jordan Zimmermann DET 15.1% 8.1% 1.86 9.6% 6.2% 1.55
Justin Nicolino MIA 13.0% 5.6% 2.32 8.0% 2.3% 3.48
Luis Perdomo SDG 17.3% 9.3% 1.86 14.2% 9.0% 1.58
Matt Garza MIL 15.8% 8.0% 1.98 14.6% 6.8% 2.15
Matt Moore SFO 19.5% 8.9% 2.19 25.8% 9.7% 2.66
Max Scherzer WAS 35.7% 15.9% 2.25 35.6% 14.4% 2.47
R.A. Dickey ATL 15.9% 8.6% 1.85 17.8% 10.4% 1.71
Rich Hill LOS 28.8% 11.0% 2.62 29.5% 10.9% 2.71
Sal Romano CIN 18.8% 8.4% 2.24 18.2% 8.7% 2.09
Sean Manaea OAK 21.8% 12.3% 1.77 11.0% 8.4% 1.31
Trevor Williams PIT 17.5% 8.2% 2.13 18.9% 7.4% 2.55
Zach Eflin PHI 12.9% 7.5% 1.72 16.0% 9.3% 1.72
Zack Godley ARI 25.8% 14.4% 1.79 27.6% 14.1% 1.96


A lot of monthly outliers, but no real season long ones.

ERA Estimators Chart (2017 LG AVG – 4.48 ERA – 4.48 SIERA – 4.41 xFIP – 4.50 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
Andrew Cashner TEX 3.32 5.45 2.13 5.18 1.86 4.42 1.1 5.16 1.84 2.42 4.76 2.34 4.87 2.45 3.95 1.53
Andrew Heaney ANA
Austin Pruitt TAM 5.07 4.09 -0.98 4.22 -0.85 3.79 -1.28 4.33 -0.74 3.47 4.29 0.82 4.46 0.99 4.47 1
Carlos Martinez STL 3.56 3.82 0.26 3.6 0.04 3.83 0.27 3.31 -0.25 4.35 3.52 -0.83 3.27 -1.08 4.04 -0.31
Chris Flexen NYM 7.02 5.98 -1.04 6.24 -0.78 7.22 0.2 7.54 0.52 7.02 5.99 -1.03 6.24 -0.78 7.22 0.2
Corey Kluber CLE 2.71 2.6 -0.11 2.44 -0.27 2.49 -0.22 2.24 -0.47 2.31 2.19 -0.12 2.11 -0.2 2.5 0.19
Dallas Keuchel HOU 2.77 3.63 0.86 3.33 0.56 3.71 0.94 2.61 -0.16 7.23 5.26 -1.97 5.13 -2.1 6.19 -1.04
Drew Pomeranz BOS 3.39 4.11 0.72 3.88 0.49 3.73 0.34 3.86 0.47 2.3 4.66 2.36 4.41 2.11 4 1.7
Erasmo Ramirez SEA 4.73 4.17 -0.56 4.22 -0.51 4.61 -0.12 4.36 -0.37 3.26 4.42 1.16 4.51 1.25 5.57 2.31
Ervin Santana MIN 3.28 4.65 1.37 4.78 1.5 4.71 1.43 3.83 0.55 4.5 3.89 -0.61 4.31 -0.19 4.47 -0.03
German Marquez COL 4.13 4.26 0.13 4.24 0.11 3.79 -0.34 4.97 0.84 3.56 3.85 0.29 3.65 0.09 3.47 -0.09
Ian Kennedy KAN 4.8 4.72 -0.08 5.03 0.23 5.06 0.26 5.04 0.24 6.49 4.8 -1.69 4.93 -1.56 4.32 -2.17
J.A. Happ TOR 3.63 4.16 0.53 4 0.37 4.19 0.56 4.14 0.51 3.79 4.69 0.9 4.42 0.63 3.81 0.02
Jake Arrieta CHC 3.73 4.09 0.36 4.05 0.32 4.04 0.31 4.06 0.33 2.25 3.82 1.57 4 1.75 3.33 1.08
James Shields CHW 5.9 5.15 -0.75 5.68 -0.22 6.39 0.49 6.29 0.39 7.18 4.44 -2.74 4.8 -2.38 5.68 -1.5
Jeremy Hellickson BAL 4.7 5.15 0.45 5.28 0.58 5.13 0.43 4.95 0.25 5.87 4.21 -1.66 4.47 -1.4 3.27 -2.6
Jordan Montgomery NYY 3.94 4.22 0.28 4.39 0.45 3.92 -0.02 4.15 0.21 4.56 3.98 -0.58 4.02 -0.54 3.02 -1.54
Jordan Zimmermann DET 5.62 5.16 -0.46 5.33 -0.29 5.46 -0.16 5.69 0.07 5.79 5.81 0.02 5.84 0.05 5.21 -0.58
Justin Nicolino MIA 4.56 5.36 0.8 5.01 0.45 5.94 1.38 7.90 3.34 1.69 6.91 5.22 5.98 4.29 4.64 2.95
Luis Perdomo SDG 4.95 4.29 -0.66 4.12 -0.83 4.39 -0.56 5.63 0.68 4.99 4.95 -0.04 4.59 -0.4 4.34 -0.65
Matt Garza MIL 4.38 5.12 0.74 4.96 0.58 4.76 0.38 4.83 0.45 6.52 6.14 -0.38 6.21 -0.31 7.84 1.32
Matt Moore SFO 5.71 4.7 -1.01 4.92 -0.79 4.67 -1.04 6.98 1.27 5.34 3.73 -1.61 3.85 -1.49 4.42 -0.92
Max Scherzer WAS 2.25 2.74 0.49 3.06 0.81 2.83 0.58 2.19 -0.06 3.46 2.89 -0.57 2.86 -0.6 4.21 0.75
R.A. Dickey ATL 3.89 5.04 1.15 4.93 1.04 4.91 1.02 5.23 1.34 3.23 4.82 1.59 4.46 1.23 4.7 1.47
Rich Hill LOS 3.44 3.84 0.4 4.08 0.64 3.97 0.53 4.89 1.45 3.13 3.57 0.44 3.51 0.38 4.7 1.57
Sal Romano CIN 6.05 5.01 -1.04 4.96 -1.09 4.84 -1.21 6.55 0.50 6.46 4.97 -1.49 4.85 -1.61 4.38 -2.08
Sean Manaea OAK 4.59 4.35 -0.24 4.36 -0.23 3.99 -0.6 4.52 -0.07 9.31 5.67 -3.64 6.28 -3.03 6.81 -2.5
Trevor Williams PIT 4.19 4.56 0.37 4.43 0.24 3.8 -0.39 3.81 -0.38 3.19 4.58 1.39 4.31 1.12 3.46 0.27
Zach Eflin PHI 5.76 5.01 -0.75 5.19 -0.57 5.85 0.09 6.31 0.55 4.38 4.76 0.38 5.12 0.74 5.25 0.87
Zack Godley ARI 2.95 3.65 0.7 3.33 0.38 3.17 0.22 2.83 -0.12 2.61 3.74 1.13 3.4 0.79 2.98 0.37


Dallas Keuchel has a .263 season BABIP with minimal popups, but an otherwise ideal contact profile. His 82.8 LOB% is in question. He has a .379 BABIP and 22.2 HR/FB since returning.

Max Scherzer has a tremendous BABIP profile and while his 83.6 LOB% is a career high, he’s been above 77% for four straight years now and a 35% strikeout rate goes a long way towards stranding 80% of runners.

Rich Hill has an 81.3 LOB%, but was at 79.2% last year. It’s high, but not absurd with a nearly 30% strikeout rate. DRA seems to hate him.

BABIP & Statcast Chart (2017 LG AVG – .297 BABIP – 44.3 GB% – 20.5 LD% – 9.4 IFFB% – 86.7 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
95+ MPH
EV
BBE
Andrew Cashner TEX 0.289 0.274 -0.015 50.0% 0.187 7.0% 92.8% 86.4 3.50% 33.00% 367
Andrew Heaney ANA 0.285
Austin Pruitt TAM 0.284 0.343 0.059 47.5% 0.213 14.0% 91.5% 88.1 6.50% 32.60% 184
Carlos Martinez STL 0.294 0.281 -0.013 51.4% 0.177 8.7% 86.1% 87 5.30% 34.00% 412
Chris Flexen NYM 0.320 0.373 0.053 42.6% 0.204 0.0% 85.5% 83.5 3.60% 30.90% 55
Corey Kluber CLE 0.303 0.277 -0.026 46.4% 0.195 12.4% 80.3% 86 5.80% 31.20% 311
Dallas Keuchel HOU 0.295 0.263 -0.032 64.5% 0.151 3.8% 87.8% 84.4 6.10% 31.80% 264
Drew Pomeranz BOS 0.305 0.315 0.01 42.7% 0.234 11.7% 84.6% 86.6 6.60% 32.40% 361
Erasmo Ramirez SEA 0.279 0.271 -0.008 47.3% 0.177 5.5% 85.4% 88.2 8.80% 36.60% 262
Ervin Santana MIN 0.298 0.233 -0.065 41.4% 0.17 13.3% 88.4% 85.8 6.10% 31.80% 459
German Marquez COL 0.302 0.304 0.002 41.6% 0.231 9.5% 88.8% 88.6 6.00% 36.00% 333
Ian Kennedy KAN 0.299 0.246 -0.053 38.3% 0.155 7.0% 84.3% 89.5 10.20% 35.90% 343
J.A. Happ TOR 0.307 0.286 -0.021 46.1% 0.201 7.1% 84.4% 85.7 5.10% 29.80% 295
Jake Arrieta CHC 0.283 0.276 -0.007 46.3% 0.204 6.1% 85.7% 86.9 5.50% 32.40% 398
James Shields CHW 0.288 0.284 -0.004 36.9% 0.162 5.8% 85.1% 88.5 9.50% 37.80% 222
Jeremy Hellickson BAL 0.315 0.259 -0.056 34.7% 0.221 12.4% 86.9% 86.7 6.10% 32.20% 425
Jordan Montgomery NYY 0.290 0.281 -0.009 41.1% 0.164 6.8% 85.1% 86.5 6.60% 29.60% 351
Jordan Zimmermann DET 0.309 0.312 0.003 33.3% 0.252 12.2% 90.7% 88.7 7.50% 35.10% 439
Justin Nicolino MIA 0.293 0.337 0.044 48.4% 0.264 0.0% 89.2% 86.7 5.30% 33.00% 94
Luis Perdomo SDG 0.307 0.336 0.029 61.7% 0.172 9.1% 90.2% 87 4.90% 35.10% 370
Matt Garza MIL 0.300 0.275 -0.025 41.5% 0.209 12.4% 90.8% 85.1 5.80% 30.40% 312
Matt Moore SFO 0.317 0.333 0.016 38.1% 0.206 6.7% 87.7% 89.1 10.00% 41.60% 442
Max Scherzer WAS 0.293 0.237 -0.056 38.1% 0.157 12.6% 79.1% 86.2 6.60% 30.70% 348
R.A. Dickey ATL 0.292 0.276 -0.016 49.5% 0.181 11.4% 84.0% 85 5.00% 28.00% 443
Rich Hill LOS 0.280 0.279 -0.001 39.2% 0.17 10.8% 81.4% 83.6 6.80% 28.60% 220
Sal Romano CIN 0.293 0.336 0.043 48.3% 0.181 10.3% 86.7% 85.7 6.50% 37.90% 124
Sean Manaea OAK 0.292 0.317 0.025 43.9% 0.199 5.5% 86.0% 88.9 6.20% 41.00% 354
Trevor Williams PIT 0.308 0.287 -0.021 49.6% 0.196 13.3% 90.2% 85 5.10% 28.60% 350
Zach Eflin PHI 0.297 0.299 0.002 43.1% 0.173 6.3% 90.4% 86.8 8.20% 36.10% 208
Zack Godley ARI 0.294 0.258 -0.036 55.7% 0.183 7.4% 88.8% 84.6 5.80% 33.50% 275

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

Max Scherzer (1) generates one of the top ratings you’re going to see. One of the top strikeout pitchers in the league is in one of the top strikeout spots and an extremely negative run environment against a poor offense to boot. It’s not even close. If it even looks like he might have a reasonable ownership rate, players should consider sacrificing multiple positions to roster him.

Value Tier Two

Corey Kluber (2) could be a top tier or top overall guy on most slates, but everyone drops below Scherzer. At nearly the same price point, the matchup is not nearly as juicy.

Dallas Keuchel (3) looked more like himself in his last start. The SwStr% is fine, the strikeouts were up and he’s generating ground balls, though still not as many or as weakly as earlier in the season. The matchup should help him punch out a few more.

Value Tier Three

Zack Godley (5) is not in a particularly great spot. Minnesota is a competent offense in a more positive run environment than most people might realize, but it’s certainly an environmental upgrade from Arizona. He’s been pretty darn successful wherever he’s pitched this season with high end SwStr and ground ball rates along with a tendency towards weak contact, especially on the road. He’s still not even $9K.

Carlos Martinez (4) is one of only five pitchers above a 25% strikeout rate tonight, believe it or not. The underlying numbers are a bit better than the ERA over the last four starts. What he may lose in strikeout rate in Pittsburgh, he stands a good chance of making up for in run prevention tonight with fewer pitches per inning potentially getting him deeper into the game. The issue would most likely be if he loses the plate, as he has occasionally done this year.

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.

Drew Pomeranz can be sort of a swing man, nearly connecting the third and fourth tiers, very closely grouped, well behind the top two tiers. He’s rarely going to generate a start that blows your mind, but has been consistently good with one of the top strikeout rates on the slate. The Yankees haven’t been very good against LHPs, though I’d stop short of calling it a favorable matchup in Fenway.

Rich Hill is a high upside arm with a potential or even likely workload issue in a difficult spot. He still has some value, but they’re legitimate concerns.

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.