Advanced Stats - Pitching: Wednesday, June 7th

A three game day slate has a game at Coors and Strasburg vs Kershaw included. While that’s going to be interesting and we hate losing those things on the main slate, we should still have enough to get by. Just for comparison’s sake though, and to reiterate how strong yesterday’s board was, only tonight’s top two pitchers would have even been considered last night.

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+
Adalberto Mejia MIN 9.1 5.02 4.52 44.0% 0.89 5.75 3.81 SEA 118 89 149
Alex Meyer ANA -5.6 4.88 4.43 40.6% 0.98 5.43 4.78 DET 126 101 184
Bronson Arroyo CIN 13.6 5.3 5.2 30.3% 1.02 5 5.81 STL 88 95 63
CC Sabathia NYY 1.3 4.35 5.83 48.2% 1.01 4.03 2.89 BOS 106 105 68
Chad Kuhl PIT -7.4 4.64 4.8 42.0% 1.02 4.02 4.96 BAL 90 94 119
Clayton Kershaw LOS 1 2.36 7.13 49.2% 0.89 2.34 2.11 WAS 105 113 114
Dallas Keuchel HOU 1.6 3.22 6.69 59.8% 1.06 3.53 2.55 KAN 83 68 104
Francisco Liriano TOR -2 4.16 5.51 51.3% 0.93 4.79 4.22 OAK 118 86 98
Jason Vargas KAN 8 4.24 5.51 37.9% 1.06 4.15 5.35 HOU 128 113 163
Jerad Eickhoff PHI 4 4.08 5.92 40.0% 1 4.31 5.79 ATL 97 93 95
Jharel Cotton OAK -14.3 4.49 5.59 38.2% 0.93 4.88 5.53 TOR 89 96 83
Jimmy Nelson MIL -4 4.45 5.7 49.5% 1.02 4.24 2.13 SFO 77 77 97
John Lackey CHC 2.3 3.83 6.45 43.8% 0.96 4.01 4.65 MIA 95 92 93
Jose Urena MIA 4.7 5.04 5.24 45.7% 0.96 5 5.62 CHC 105 88 92
Kyle Freeland COL 0.7 4.98 5.75 57.4% 1.39 4.02 5.28 CLE 92 89 76
Lance Lynn STL -11.6 4.27 5.49 45.8% 1.02 4.34 3.9 CIN 107 105 112
Luis Perdomo SDG -7.9 3.88 5.76 60.6% 1.13 3.63 4.3 ARI 118 103 66
Michael Fulmer DET 2.6 4.02 6.32 49.0% 0.98 4.11 4.28 ANA 78 91 111
Mike Foltynewicz ATL 2.6 4.24 5.53 39.7% 1 4.56 3.03 PHI 78 90 116
Mike Pelfrey CHW 0.4 4.93 5.16 49.9% 0.96 5.28 3.04 TAM 107 113 77
Rick Porcello BOS 5.1 3.71 6.44 43.2% 1.01 3.86 4.28 NYY 121 118 109
Stephen Strasburg WAS -1.9 2.95 6.33 42.1% 0.89 3.25 2.29 LOS 117 103 40
Trevor Bauer CLE -5.5 4.12 5.81 45.6% 1.39 4.02 2.63 COL 79 84 96
Ty Blach SFO -0.2 4.9 6.32 52.1% 1.02 4.87 3.84 MIL 96 97 84
Wade Miley BAL -3.5 4.19 5.78 0.494 1.02 3.97 4.34 PIT 89 82 116
Yovani Gallardo SEA 6.7 5.09 5.29 0.457 0.89 5.21 6.55 MIN 102 107 114
Yu Darvish TEX 1.3 3.46 6.03 0.39 1.11 3.49 4.23 NYM 124 105 120
Zack Greinke ARI -4.9 3.51 6.56 0.468 1.13 3.87 3.42 SDG 77 81 73
Zack Wheeler NYM 1.1 4.25 5.52 0.494 1.11 3.83 3.74 TEX 99 96 81
Jacob Faria TAM 0.8 0 0 0.96 CHW 90 81 87


NOTE: The Tigers had mentioned that Michael Fulmer would either pitch today or tomorrow, but left everyone to guess for themselves last night. They didn’t make a decision, I did. I was wrong. Thankfully, Buck Farmer is nearly the same pitcher…or at least he’s right-handed, keeping the opposing offensive stats relevant.

Dallas Keuchel has not gone more than six innings in a start in over a month now, but has only missed that mark once this year, allowing more than two ERs just once. He has a 24.4 K%, 67.4 GB% and -9.8 Hard-Soft% with 69.6% of the batters he has faced this year either striking out or hitting it on the ground. His 83.6 mph aEV is the lowest mark on the board by far and he faces the second worst offense in baseball against LHP. The Royals have an 8.9 HR/FB at home and 9.0 HR/FB vs LHP.

Jimmy Nelson has struck out 21 of his last 55 batters, allowing a single run over 15 innings without a walk. Not only that, but his 58.8 GB% (good) and 35.3 Hard% (meh) were identical in both games. For the season, he now has an 18.3 K-BB% and the third lowest rate of Barrels/BBE (3.8%) on the board. While the DFS community has been disappointed by false starts before, the last two starts have been so dominant against good offenses (Dodgers, Diamondbacks) that we need to take notice. His F-Strike% is through the roof over his last two starts, which is what you’d expect to see with those numbers. His SwStr% has now been in double digits in four straight starts. It’s been more curveballs and fewer four seam fastballs. Has that made the difference? Who knows because they both have the same whiff rate, but the whiff rate on both has risen, so perhaps he’s sequencing and locating better, allowing one to play better off the other. The Giants don’t strike out a lot, but have little power, though it probably increases with the park upgrade. It’s still a favorable matchup as few of those hitters have done anything this year.

Luis Perdomo is a (very) poor man’s version of Keuchel with 66.5% of batters faced either striking out or pounding it into the ground, though he doesn’t generate contact as weakly (9.9 Hard-Soft%) because nobody has done so. He has a much higher BABIP because…I have no idea why it’s so high. Arizona at home is a tough assignment, but they have a 23.2 K% vs RHP.

Buck Farmer struck out 11 of 23 White Sox in his lone major league start this year and has a 17.3 K-BB% in AAA this year. The offense for the Angels has actually improved since getting rid of the dead weight and all his WAR and getting Yuni Escobar back into the lineup. On a more serious note, it may have actually decreased their strikeout rate, but makes it a much easier lineup to navigate.

Zack Greinke just keeps on keeping on with eight or more strikeouts in six of his last eight starts and a 34.4 K% with a 17 SwStr% over the last month. The 36.6 Hard% is a bit concerning in that park, but the Padres (25.8 K% vs RHP) are not. Statcast has less than 30% of contact at a 95 mph exit velocity or higher 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 (.293 BABIP – 72.9 LOB% – 14.1 HR/FB)

Yu Darvish (.259 – 84.6% – 13.9) has a 15.9 K-BB% that’s nearly five points below his career average. I’m sure this omission will be just about as controversial as my take that Fear the Walking Dead was better than Better Call Saul this week, but the value beyond his price tag just doesn’t seem as substantial this year. Add in the Mets, whose offense is not the problem here (9.6 K-BB% vs RHP, 17.2 HR/FB on the road) and I’d argue may be the second worst matchup on the slate in this park and there seems enough reason to be at least skeptical. That’s not to say he can’t exceed and the Mets actually have a major league worst 72 sOPS+ against fly ball pitchers, but I’d prefer the other two expensive pitchers over this higher risk, lower than his past standard upside spot. I’d still call him the third best overall arm on the slate.

Wade Miley (.286 – 84.4% – 17.1) finds himself in a decent enough spot even at home against the Pirates, but they will take walks and his 2.3 K-BB% over the last month just about nullifies the 60.4 GB% I barely even noticed.

Lance Lynn (.204 – 83.3% – 16.9) may not be terribly bad off facing a predominantly RH lineup in Cincinnati, but struggles greatly on the road (11.4 HR/FB career is double his home rate) and against LHBs (.343 wOBA career) and can absolutely not be expected to contain Scooter Gennett.

Mike Pelfrey (.228 – 68.3% – 11.9) actually hasn’t been as bad as expected this year, but don’t buy into that BABIP or his K% over the last month. He moves up a few spots because the Rays strike out so much, but it’s not to be mistaken for a quality matchup. They also have a lot of power.

Jason Vargas (.278 – 85.7% – 5.8) has seen his strikeout rate drop below average, but still retains the highest SwStr% of his career, even over the last month as it has remained average. That said, he’s not retaining those strand and HR rates and he’s also facing the ’27 Yankees tonight.

Ty Blach (.250 – 71.2% – 7.1) has just a 4.3 K-BB%.

Adalberto Mejia (.297 – 82.9% – 17.2)

Jose Urena (.264 – 81.3% – 12.7) has just a 4.9 K-BB%.

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

Jacob Faria is certainly worth talking about with a 34.7 K% at AAA this year, but is not available on either site. He does have a bit of a fly ball lean (41.5 GB%), but you’re not using White Sox bats.

Rick Porcello has the same K-BB% as last year with a 2.6 point improvement in his SwStr% that more strongly backs up his above average strikeout rate this year. His 42.7% rate of hard contact has been a disaster though and not something we’d look to see resolved in Yankee Stadium of all places (19.7 HR/FB at home, 17.4 HR/FB vs RHP). That said, the Yankees are not beyond swings and misses and he has gone at least six innings in 11 of his 12 starts with more than one HR just twice with half of his season total coming in those two starts.

John Lackey has peripherals better than his ERA. He’s allowed a lot of hard contact (36.3 Hard%), which has led to 14 HRs, but his Statcast numbers don’t look that bad. In a decent matchup against the Marlins, he’s probably useable with pitcher friendly weather conditions if Kevin says that’s the case.

Mike Foltynewicz struck out a season high 10 in his last start in Cincinnati and could be okay against the Phillies here, but he has not exceeded an 8.3 SwStr% in four starts and has more than four strikeouts just four times this year in 10 starts, while LHBs continue to pummel him (.355 wOBA this year). That’s actually not terrible news as he has a 16.4 K-BB% and -1.0 Hard% vs RHBs this year and that’s where most of Philadelphia’s power comes from.

Zack Wheeler has been the Mets second best pitcher and generally keeps the ball on the ground, which should help him in this park, but has walked at least four three times this year and that might make him too big a risk here, though he has walked two or fewer in three of his last four.

C.C. Sabathia has an 81.8% strand rate over the last month with just an 8.1 SwStr% and a hard hit rate above 35% in four of his five starts. The ERA decrease is a bit of a fluke, while the Red Sox have just a 14.2 K% vs LHP.

Chad Kuhl retains a high SwStr%, but has been at 9% or below in three of his last four starts. His 38.9 GB% is more of a concern in Baltimore.

Jerad Eickhoff

Alex Meyer has a .245 BABIP and 80.7% strand rate with just an average SwStr% and 14.3 BB%. Detroit is the hottest offense in the majors.

Yovani Gallardo

Bronson Arroyo has already allowed 19 HRs. The Cardinals have been shut down by two below average extreme fly ball pitchers each of the last two nights in Cincinnati. Let’s see if they can make it a third. At the least, it may drop ownership on this offense.

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%
Adalberto Mejia Twins L2 Years 18.3% 11.5% Road 10.9% 10.9% L14 Days 24.4% 8.9%
Alex Meyer Angels L2 Years 24.3% 15.2% Road 25.8% 18.3% L14 Days 16.7% 8.3%
Bronson Arroyo Reds L2 Years 14.2% 6.7% Home 16.2% 4.2% L14 Days 13.3% 4.4%
CC Sabathia Yankees L2 Years 19.3% 8.4% Home 21.2% 7.6% L14 Days 32.0% 6.0%
Chad Kuhl Pirates L2 Years 17.8% 7.7% Road 20.4% 3.7% L14 Days 16.7% 7.1%
Clayton Kershaw Dodgers L2 Years 32.6% 3.2% Home 31.2% 1.9% L14 Days 37.0% 3.7%
Dallas Keuchel Astros L2 Years 23.2% 6.1% Road 21.2% 7.8% L14 Days 33.3% 8.9%
Francisco Liriano Blue Jays L2 Years 23.5% 11.1% Road 21.0% 13.6% L14 Days 23.8% 9.5%
Jason Vargas Royals L2 Years 19.8% 5.7% Home 20.5% 6.0% L14 Days 8.6% 5.2%
Jerad Eickhoff Phillies L2 Years 20.9% 6.1% Road 19.2% 5.6% L14 Days 13.3% 13.3%
Jharel Cotton Athletics L2 Years 20.3% 8.2% Home 18.5% 6.8% L14 Days 19.2% 14.9%
Jimmy Nelson Brewers L2 Years 18.9% 9.2% Home 20.5% 9.1% L14 Days 30.8% 1.3%
John Lackey Cubs L2 Years 22.6% 6.7% Home 22.8% 6.9% L14 Days 21.6% 11.8%
Jose Urena Marlins L2 Years 13.5% 8.6% Road 14.6% 6.7% L14 Days 16.2% 13.2%
Kyle Freeland Rockies L2 Years 14.2% 10.2% Home 16.4% 9.4% L14 Days 13.2% 7.6%
Lance Lynn Cardinals L2 Years 21.3% 9.7% Road 25.2% 11.7% L14 Days 26.8% 9.9%
Luis Perdomo Padres L2 Years 17.2% 6.9% Road 18.9% 7.0% L14 Days 18.5% 7.4%
Michael Fulmer Tigers L2 Years 20.0% 6.1% Home 19.4% 5.3% L14 Days 14.8% 3.3%
Mike Foltynewicz Braves L2 Years 19.8% 6.7% Home 19.8% 8.6% L14 Days 31.1% 6.7%
Mike Pelfrey White Sox L2 Years 11.7% 7.3% Road 9.4% 11.7% L14 Days 29.3% 7.3%
Rick Porcello Red Sox L2 Years 21.4% 4.0% Road 21.4% 4.1% L14 Days 17.7% 2.4%
Stephen Strasburg Nationals L2 Years 31.1% 6.4% Road 29.1% 8.8% L14 Days 40.0% 7.3%
Trevor Bauer Indians L2 Years 22.5% 9.2% Road 22.0% 8.9% L14 Days 34.5% 6.9%
Ty Blach Giants L2 Years 11.2% 6.1% Road 9.2% 6.1% L14 Days 14.5% 4.8%
Wade Miley Orioles L2 Years 19.4% 8.1% Home 21.4% 8.1% L14 Days 9.8% 7.8%
Yovani Gallardo Mariners L2 Years 15.5% 10.6% Home 15.9% 11.3% L14 Days 15.6% 20.0%
Yu Darvish Rangers L2 Years 29.2% 8.6% Home 28.8% 8.0% L14 Days 22.6% 7.6%
Zack Greinke Diamondbacks L2 Years 23.8% 5.3% Home 22.5% 6.4% L14 Days 28.6% 8.2%
Zack Wheeler Mets L2 Years 21.6% 9.8% Road 20.2% 8.5% L14 Days 21.2% 5.8%
Jacob Faria Rays L2 Years 0.0% 0.0% Home L14 Days

K/BB Chart – Opponent

Opponent Split K% BB% Split K% BB% Split K% BB%
Mariners Home 19.4% 10.1% LH 19.2% 10.2% L7Days 19.7% 8.6%
Tigers Home 18.9% 10.0% RH 22.7% 10.2% L7Days 11.3% 8.3%
Cardinals Road 20.8% 8.5% RH 21.0% 8.7% L7Days 25.1% 9.8%
Red Sox Road 18.6% 9.1% LH 14.2% 9.9% L7Days 20.4% 6.9%
Orioles Home 21.4% 7.3% RH 22.4% 6.6% L7Days 22.6% 3.2%
Nationals Road 19.8% 8.8% LH 21.2% 7.9% L7Days 15.6% 8.2%
Royals Home 19.2% 6.9% LH 18.7% 7.5% L7Days 18.9% 4.0%
Athletics Home 23.3% 8.6% LH 25.5% 7.5% L7Days 25.4% 7.8%
Astros Road 18.0% 9.1% LH 17.4% 9.9% L7Days 14.7% 8.9%
Braves Home 20.0% 8.3% RH 19.6% 7.9% L7Days 13.5% 6.1%
Blue Jays Road 21.6% 8.1% RH 19.9% 7.5% L7Days 23.4% 7.8%
Giants Road 19.7% 8.6% RH 19.3% 7.7% L7Days 17.6% 10.9%
Marlins Road 20.9% 6.2% RH 20.5% 7.2% L7Days 22.7% 8.6%
Cubs Home 20.9% 10.1% RH 21.9% 9.0% L7Days 18.8% 9.7%
Indians Road 19.5% 9.1% LH 17.6% 10.1% L7Days 18.1% 7.6%
Reds Home 21.6% 8.9% RH 21.0% 8.7% L7Days 25.5% 11.5%
Diamondbacks Home 21.5% 8.5% RH 23.2% 8.9% L7Days 27.2% 9.6%
Angels Road 21.7% 9.8% RH 19.8% 8.8% L7Days 15.6% 9.0%
Phillies Road 23.7% 7.2% RH 23.1% 8.0% L7Days 22.0% 4.6%
Rays Home 25.2% 10.1% RH 25.8% 9.4% L7Days 23.2% 8.9%
Yankees Home 24.5% 10.9% RH 22.7% 9.3% L7Days 25.5% 7.7%
Dodgers Home 23.0% 9.7% RH 23.7% 10.2% L7Days 30.5% 9.5%
Rockies Home 21.2% 7.1% RH 22.1% 7.8% L7Days 24.5% 9.3%
Brewers Home 27.1% 9.0% LH 26.9% 9.3% L7Days 33.5% 9.9%
Pirates Road 19.5% 8.9% LH 21.8% 10.6% L7Days 21.0% 8.3%
Twins Road 21.4% 9.0% RH 22.6% 10.2% L7Days 25.2% 7.6%
Mets Road 18.9% 8.8% RH 19.0% 9.4% L7Days 17.9% 10.3%
Padres Road 26.6% 7.2% RH 25.8% 7.2% L7Days 32.5% 4.8%
Rangers Home 22.8% 9.3% RH 23.2% 8.8% L7Days 30.3% 7.7%
White Sox Road 21.8% 6.0% RH 23.6% 6.0% L7Days 26.6% 4.9%

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%
Adalberto Mejia Twins L2 Years 31.9% 14.7% 13.2% 2017 30.4% 17.2% 10.1% Road 37.1% 9.1% 20.0% L14 Days 33.3% 12.5% 23.3%
Alex Meyer Angels L2 Years 33.8% 12.1% 17.9% 2017 28.6% 10.7% 13.0% Road 36.9% 10.7% 23.0% L14 Days 22.2% 14.3% 11.1%
Bronson Arroyo Reds L2 Years 35.2% 20.0% 18.1% 2017 35.2% 20.0% 18.1% Home 39.3% 19.2% 25.0% L14 Days 24.3% 20.0% 0.0%
CC Sabathia Yankees L2 Years 27.7% 14.6% 6.2% 2017 34.7% 15.0% 14.5% Home 27.7% 16.8% 5.5% L14 Days 41.9% 14.3% 32.2%
Chad Kuhl Pirates L2 Years 33.1% 8.5% 14.6% 2017 33.1% 7.9% 16.2% Road 31.7% 5.1% 9.9% L14 Days 37.5% 12.5% 12.5%
Clayton Kershaw Dodgers L2 Years 26.6% 9.5% 4.9% 2017 30.6% 15.7% 5.1% Home 29.7% 8.1% 8.8% L14 Days 33.3% 30.8% 8.3%
Dallas Keuchel Astros L2 Years 25.7% 16.3% 1.7% 2017 20.1% 17.1% -9.8% Road 27.9% 20.7% 5.3% L14 Days 15.4% 0.0% -7.7%
Francisco Liriano Blue Jays L2 Years 31.1% 15.2% 10.6% 2017 33.7% 12.9% 25.5% Road 33.3% 26.0% 13.9% L14 Days 64.3% 14.3% 64.3%
Jason Vargas Royals L2 Years 31.0% 5.5% 12.0% 2017 30.5% 5.8% 11.8% Home 33.3% 1.9% 15.5% L14 Days 32.0% 6.3% 16.0%
Jerad Eickhoff Phillies L2 Years 31.6% 11.7% 12.8% 2017 30.8% 9.5% 16.9% Road 32.1% 10.1% 14.6% L14 Days 40.6% 12.5% 28.1%
Jharel Cotton Athletics L2 Years 32.3% 10.5% 10.3% 2017 34.7% 10.9% 12.9% Home 30.8% 12.5% 9.1% L14 Days 40.0% 7.1% 10.0%
Jimmy Nelson Brewers L2 Years 32.0% 12.6% 11.8% 2017 34.1% 10.3% 14.6% Home 33.2% 13.7% 11.3% L14 Days 34.0% 9.1% 9.5%
John Lackey Cubs L2 Years 32.4% 14.0% 15.7% 2017 36.3% 20.6% 21.8% Home 33.3% 14.8% 15.5% L14 Days 44.1% 18.2% 32.3%
Jose Urena Marlins L2 Years 30.3% 11.0% 10.6% 2017 31.4% 12.7% 10.2% Road 30.6% 12.1% 11.5% L14 Days 29.8% 27.8% 4.3%
Kyle Freeland Rockies L2 Years 33.8% 11.5% 12.9% 2017 33.8% 11.5% 12.9% Home 31.6% 10.0% 4.2% L14 Days 38.5% 13.3% 25.7%
Lance Lynn Cardinals L2 Years 28.9% 11.4% 10.8% 2017 29.5% 16.9% 12.2% Road 31.7% 20.0% 16.8% L14 Days 22.2% 15.8% 4.4%
Luis Perdomo Padres L2 Years 32.6% 20.4% 15.6% 2017 27.8% 16.1% 9.9% Road 32.5% 22.7% 17.3% L14 Days 26.3% 15.4% -2.7%
Michael Fulmer Tigers L2 Years 28.7% 9.4% 10.3% 2017 25.1% 5.8% 8.4% Home 32.0% 9.0% 14.9% L14 Days 24.0% 0.0% 8.0%
Mike Foltynewicz Braves L2 Years 30.5% 15.1% 11.2% 2017 27.4% 16.1% 9.5% Home 30.0% 9.8% 11.9% L14 Days 21.4% 22.2% 0.0%
Mike Pelfrey White Sox L2 Years 30.2% 11.1% 9.7% 2017 28.9% 11.9% 3.1% Road 27.8% 6.2% 5.4% L14 Days 30.8% 14.3% 3.9%
Rick Porcello Red Sox L2 Years 33.5% 11.3% 16.5% 2017 42.7% 12.4% 24.9% Road 31.9% 12.0% 15.8% L14 Days 37.3% 7.1% 13.4%
Stephen Strasburg Nationals L2 Years 27.1% 10.3% 5.1% 2017 28.1% 7.6% 6.7% Road 24.0% 5.9% 0.0% L14 Days 20.7% 8.3% 3.5%
Trevor Bauer Indians L2 Years 33.1% 14.1% 15.1% 2017 39.9% 20.4% 26.6% Road 32.9% 9.3% 12.8% L14 Days 47.1% 10.0% 38.3%
Ty Blach Giants L2 Years 28.8% 7.0% 9.5% 2017 28.6% 7.1% 10.7% Road 30.0% 12.9% 10.9% L14 Days 22.0% 0.0% 6.0%
Wade Miley Orioles L2 Years 30.6% 14.6% 11.9% 2017 35.4% 17.1% 13.1% Home 31.0% 17.0% 10.5% L14 Days 38.1% 14.3% 7.1%
Yovani Gallardo Mariners L2 Years 27.6% 11.1% 11.2% 2017 33.0% 16.7% 15.7% Home 29.1% 14.6% 11.2% L14 Days 37.9% 28.6% 20.7%
Yu Darvish Rangers L2 Years 31.2% 12.8% 11.2% 2017 32.8% 13.9% 16.4% Home 34.6% 13.6% 16.5% L14 Days 41.2% 11.8% 23.5%
Zack Greinke Diamondbacks L2 Years 29.9% 11.8% 9.0% 2017 36.6% 14.7% 16.3% Home 37.2% 13.3% 18.3% L14 Days 32.3% 9.1% 12.9%
Zack Wheeler Mets L2 Years 36.9% 14.0% 18.1% 2017 36.9% 14.0% 18.1% Road 35.8% 11.1% 20.9% L14 Days 44.7% 11.1% 31.5%
Jacob Faria Rays 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%
Mariners Home 29.8% 11.5% 9.9% LH 30.2% 7.2% 8.1% L7Days 33.7% 14.8% 17.1%
Tigers Home 50.4% 14.3% 37.3% RH 42.6% 12.6% 27.9% L7Days 54.7% 21.8% 44.8%
Cardinals Road 32.6% 11.2% 16.0% RH 30.6% 12.0% 11.5% L7Days 32.0% 11.8% 12.4%
Red Sox Road 32.9% 13.2% 12.8% LH 32.7% 12.8% 8.0% L7Days 26.8% 14.3% -1.2%
Orioles Home 28.0% 13.9% 6.9% RH 30.1% 14.7% 9.6% L7Days 34.8% 20.0% 13.7%
Nationals Road 29.7% 14.2% 10.7% LH 31.5% 16.7% 10.5% L7Days 27.7% 16.4% 7.6%
Royals Home 31.4% 8.9% 12.2% LH 29.8% 9.0% 10.4% L7Days 36.2% 7.4% 17.8%
Athletics Home 32.7% 17.7% 17.7% LH 31.8% 10.4% 14.0% L7Days 26.5% 18.2% 8.0%
Astros Road 31.5% 14.7% 14.2% LH 26.0% 16.4% 6.7% L7Days 33.3% 21.8% 16.9%
Braves Home 31.6% 11.4% 14.5% RH 31.1% 10.3% 13.2% L7Days 30.7% 10.0% 10.4%
Blue Jays Road 31.8% 15.9% 11.8% RH 30.8% 15.8% 10.9% L7Days 28.3% 16.9% 13.2%
Giants Road 30.4% 9.5% 9.8% RH 28.6% 9.0% 7.2% L7Days 25.0% 5.6% 3.0%
Marlins Road 29.6% 13.0% 9.1% RH 30.6% 13.3% 10.7% L7Days 26.3% 17.9% 5.7%
Cubs Home 31.0% 16.2% 14.4% RH 29.7% 12.5% 12.7% L7Days 29.2% 13.6% 9.8%
Indians Road 35.9% 11.4% 19.0% LH 33.2% 11.4% 16.0% L7Days 35.3% 11.8% 21.2%
Reds Home 28.9% 15.4% 7.1% RH 28.8% 14.3% 8.0% L7Days 28.5% 20.0% 2.7%
Diamondbacks Home 39.9% 17.3% 27.3% RH 36.2% 15.7% 19.7% L7Days 31.3% 10.9% 14.0%
Angels Road 32.5% 11.5% 13.7% RH 29.9% 13.2% 9.9% L7Days 25.3% 17.0% 4.4%
Phillies Road 28.3% 11.3% 6.2% RH 29.4% 11.5% 8.0% L7Days 28.9% 16.7% 13.8%
Rays Home 35.8% 14.0% 16.8% RH 36.2% 18.2% 18.7% L7Days 28.7% 16.7% 3.9%
Yankees Home 30.4% 19.7% 7.6% RH 31.9% 17.4% 12.9% L7Days 39.5% 17.3% 26.1%
Dodgers Home 35.5% 16.3% 21.5% RH 34.5% 13.3% 19.8% L7Days 29.9% 7.3% 12.1%
Rockies Home 30.3% 16.3% 10.3% RH 30.2% 13.8% 9.8% L7Days 27.1% 15.9% 5.8%
Brewers Home 38.1% 18.4% 17.1% LH 36.0% 17.1% 14.0% L7Days 39.5% 17.0% 18.4%
Pirates Road 30.6% 11.7% 8.8% LH 29.5% 13.3% 8.6% L7Days 35.4% 14.0% 10.7%
Twins Road 31.9% 13.7% 16.0% RH 33.4% 14.0% 18.0% L7Days 31.7% 20.4% 15.9%
Mets Road 38.6% 17.2% 21.5% RH 35.3% 12.9% 17.7% L7Days 37.1% 18.2% 19.5%
Padres Road 30.4% 14.8% 8.8% RH 29.2% 14.4% 7.3% L7Days 35.6% 19.5% 16.4%
Rangers Home 33.0% 15.5% 12.8% RH 32.9% 15.0% 12.3% L7Days 26.9% 14.8% 0.8%
White Sox Road 31.1% 14.5% 13.5% RH 29.2% 13.7% 10.1% L7Days 42.7% 11.4% 25.0%

K/SwStr Chart (2017 LG AVG – 20.4 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%
Adalberto Mejia MIN 20.3% 8.1% 2.51 19.4% 7.2% 2.69
Alex Meyer ANA 24.4% 8.4% 2.90 27.5% 10.0% 2.75
Bronson Arroyo CIN 14.2% 7.9% 1.80 11.6% 8.7% 1.33
CC Sabathia NYY 19.5% 9.5% 2.05 22.6% 8.1% 2.79
Chad Kuhl PIT 18.0% 11.6% 1.55 18.5% 10.4% 1.78
Clayton Kershaw LOS 28.8% 12.8% 2.25 30.0% 14.9% 2.01
Dallas Keuchel HOU 24.4% 10.5% 2.32 31.5% 10.5% 3.00
Francisco Liriano TOR 21.9% 10.6% 2.07 14.3% 7.5% 1.91
Jason Vargas KAN 19.7% 10.9% 1.81 15.0% 9.7% 1.55
Jerad Eickhoff PHI 19.4% 7.9% 2.46 16.5% 7.1% 2.32
Jharel Cotton OAK 20.2% 10.1% 2.00 22.5% 10.6% 2.12
Jimmy Nelson MIL 24.3% 10.4% 2.34 30.5% 12.5% 2.44
John Lackey CHC 23.3% 11.1% 2.10 23.4% 13.2% 1.77
Jose Urena MIA 13.6% 8.1% 1.68 14.2% 8.1% 1.75
Kyle Freeland COL 14.2% 6.3% 2.25 14.7% 7.0% 2.10
Lance Lynn STL 22.6% 9.5% 2.38 24.1% 9.7% 2.48
Luis Perdomo SDG 21.1% 10.2% 2.07 22.6% 10.9% 2.07
Michael Fulmer DET 19.3% 9.7% 1.99 16.2% 9.1% 1.78
Mike Foltynewicz ATL 20.4% 8.7% 2.34 20.2% 7.5% 2.69
Mike Pelfrey CHW 13.9% 6.2% 2.24 18.6% 5.9% 3.15
Rick Porcello BOS 22.2% 10.8% 2.06 20.1% 10.7% 1.88
Stephen Strasburg WAS 27.1% 11.4% 2.38 33.1% 12.4% 2.67
Trevor Bauer CLE 29.1% 8.8% 3.31 32.3% 8.6% 3.76
Ty Blach SFO 9.9% 6.0% 1.65 12.7% 7.1% 1.79
Wade Miley BAL 20.6% 7.7% 2.68 12.3% 6.1% 2.02
Yovani Gallardo SEA 16.4% 7.9% 2.08 14.9% 6.5% 2.29
Yu Darvish TEX 25.9% 11.0% 2.35 26.4% 13.0% 2.03
Zack Greinke ARI 29.7% 14.7% 2.02 34.4% 17.0% 2.02
Zack Wheeler NYM 21.6% 9.0% 2.40 20.8% 7.8% 2.67
Jacob Faria TAM


Our unmentioned outliers are inconsequential today.

ERA Estimators Chart (2017 LG AVG – 4.35 ERA – 4.32 SIERA – 4.26 xFIP – 4.37 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
Adalberto Mejia MIN 3.95 4.84 0.89 4.79 0.84 5.32 1.37 3.94 -0.01 3 4.33 1.33 4.04 1.04 4.66 1.66
Alex Meyer ANA 4.91 4.87 -0.04 4.78 -0.13 4.45 -0.46 4.81 -0.10 3.32 4.42 1.1 4.53 1.21 4.48 1.16
Bronson Arroyo CIN 6.24 5.3 -0.94 5.61 -0.63 7.02 0.78 10.37 4.13 5.93 5.94 0.01 6.34 0.41 8.61 2.68
CC Sabathia NYY 4.12 4.41 0.29 4.26 0.14 4.46 0.34 5.02 0.90 2.67 3.77 1.1 3.7 1.03 3.38 0.71
Chad Kuhl PIT 6.02 4.82 -1.2 4.99 -1.03 4.09 -1.93 4.26 -1.76 6.56 4.63 -1.93 4.61 -1.95 4.68 -1.88
Clayton Kershaw LOS 2.28 2.86 0.58 2.7 0.42 2.96 0.68 2.85 0.57 2.1 2.63 0.53 2.35 0.25 2.64 0.54
Dallas Keuchel HOU 1.67 2.96 1.29 2.79 1.12 3.01 1.34 1.50 -0.17 1.17 1.78 0.61 1.57 0.4 1.27 0.1
Francisco Liriano TOR 5.94 5.18 -0.76 5 -0.94 4.94 -1 5.19 -0.75 11.57 6.03 -5.54 6.5 -5.07 5.62 -5.95
Jason Vargas KAN 2.08 4.28 2.2 4.39 2.31 3.17 1.09 4.02 1.94 3.13 5.18 2.05 5.29 2.16 4.35 1.22
Jerad Eickhoff PHI 5.13 4.6 -0.53 4.69 -0.44 4.06 -1.07 7.32 2.19 6.85 4.88 -1.97 4.72 -2.13 5.08 -1.77
Jharel Cotton OAK 5.11 4.78 -0.33 5.05 -0.06 4.63 -0.48 6.29 1.18 6.06 4.57 -1.49 4.98 -1.08 5.93 -0.13
Jimmy Nelson MIL 3.36 3.57 0.21 3.39 0.03 3.04 -0.32 3.96 0.60 1.93 2.71 0.78 2.27 0.34 1.95 0.02
John Lackey CHC 4.9 3.93 -0.97 3.96 -0.94 4.95 0.05 5.64 0.74 4.6 4.19 -0.41 4.28 -0.32 5.1 0.5
Jose Urena MIA 3.8 5.25 1.45 5.58 1.78 5.46 1.66 6.39 2.59 4.5 5.54 1.04 5.81 1.31 6.02 1.52
Kyle Freeland COL 3.53 4.98 1.45 4.85 1.32 4.65 1.12 5.17 1.64 4.55 5.3 0.75 5.35 0.8 5.78 1.23
Lance Lynn STL 2.97 4.23 1.26 4.34 1.37 4.81 1.84 4.94 1.97 4.13 4.25 0.12 4.42 0.29 5.66 1.53
Luis Perdomo SDG 5.01 3.42 -1.59 3.55 -1.46 3.77 -1.24 4.16 -0.85 5.79 3.51 -2.28 3.69 -2.1 4.3 -1.49
Michael Fulmer DET 3 3.99 0.99 3.88 0.88 2.97 -0.03 2.66 -0.34 3.25 4.01 0.76 3.86 0.61 2.22 -1.03
Mike Foltynewicz ATL 3.9 4.15 0.25 4.01 0.11 4.35 0.45 5.15 1.25 3.21 3.9 0.69 3.56 0.35 4.05 0.84
Mike Pelfrey CHW 3.86 5.01 1.15 4.87 1.01 4.67 0.81 3.47 -0.39 3.2 4.2 1 4.15 0.95 4.55 1.35
Rick Porcello BOS 4.24 3.79 -0.45 3.96 -0.28 3.79 -0.45 4.46 0.22 4.65 3.96 -0.69 4.02 -0.63 3.5 -1.15
Stephen Strasburg WAS 2.91 3.43 0.52 3.31 0.4 2.63 -0.28 2.09 -0.82 3.21 2.93 -0.28 2.91 -0.3 2.52 -0.69
Trevor Bauer CLE 5.83 3.37 -2.46 3.19 -2.64 4.02 -1.81 3.46 -2.37 4.26 2.79 -1.47 2.48 -1.78 3.21 -1.05
Ty Blach SFO 3.24 5.03 1.79 4.65 1.41 3.87 0.63 6.31 3.07 1.91 4.33 2.42 4.01 2.1 3.26 1.35
Wade Miley BAL 2.82 4.55 1.73 4.08 1.26 4.4 1.58 3.88 1.06 3.41 4.75 1.34 4.37 0.96 5.09 1.68
Yovani Gallardo SEA 6.24 5.01 -1.23 4.7 -1.54 5.1 -1.14 5.25 -0.99 8.87 5.69 -3.18 5.5 -3.37 7.68 -1.19
Yu Darvish TEX 3.13 4 0.87 3.95 0.82 4.02 0.89 2.87 -0.26 3.72 3.71 -0.01 4.15 0.43 4.29 0.57
Zack Greinke ARI 3.06 3.01 -0.05 2.98 -0.08 3.14 0.08 1.99 -1.07 3.03 2.67 -0.36 2.76 -0.27 3.02 -0.01
Zack Wheeler NYM 3.72 4.24 0.52 3.91 0.19 3.97 0.25 4.87 1.15 2.76 4.42 1.66 3.96 1.2 4.04 1.28
Jacob Faria TAM


Dallas Keuchel has a .222 BABIP and 88.7 LOB%. While those numbers are unsustainable for anybody, we need to recognize the incredible contact that he is generating, including the low line drive rate.

Luis Perdomo is stranding just two-thirds of runners due to the high BABIP, which there really doesn’t seem to be a legitimate reason for.

BABIP & Statcast Chart (2017 LG AVG – .293 BABIP – 44.5 GB% – 20.3 LD% – 9.2 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
Adalberto Mejia MIN 0.278 0.297 0.019 45.6% 0.177 10.3% 84.5% 88.8 10.10% 6.80% 79
Alex Meyer ANA 0.282 0.297 0.015 46.1% 0.171 10.7% 91.1% 86.7 7.80% 4.60% 77
Bronson Arroyo CIN 0.276 0.261 -0.015 30.3% 0.21 9.5% 90.2% 87.6 10.60% 8.30% 199
CC Sabathia NYY 0.282 0.288 0.006 47.3% 0.207 3.3% 87.6% 86.8 5.70% 4.00% 193
Chad Kuhl PIT 0.303 0.342 0.039 38.9% 0.21 4.8% 84.6% 87.2 5.60% 4.10% 160
Clayton Kershaw LOS 0.284 0.259 -0.025 47.9% 0.19 10.0% 82.8% 85.5 6.50% 4.40% 216
Dallas Keuchel HOU 0.289 0.222 -0.067 67.4% 0.142 5.7% 88.5% 83.6 5.20% 3.50% 194
Francisco Liriano TOR 0.298 0.330 0.032 47.4% 0.206 3.2% 85.1% 88.7 7.10% 4.40% 98
Jason Vargas KAN 0.300 0.278 -0.022 37.3% 0.199 11.6% 81.2% 86.6 3.40% 2.60% 203
Jerad Eickhoff PHI 0.296 0.335 0.039 39.7% 0.212 6.8% 89.7% 88.8 6.70% 4.80% 195
Jharel Cotton OAK 0.287 0.289 0.002 38.5% 0.168 12.5% 82.0% 86.2 3.40% 2.30% 147
Jimmy Nelson MIL 0.306 0.330 0.024 47.3% 0.209 1.7% 85.8% 85.9 3.80% 2.60% 185
John Lackey CHC 0.289 0.302 0.013 44.4% 0.193 8.8% 84.4% 86.2 6.20% 4.20% 193
Jose Urena MIA 0.276 0.264 -0.012 40.1% 0.184 12.7% 90.4% 85.4 10.30% 7.80% 156
Kyle Freeland COL 0.288 0.277 -0.011 57.4% 0.159 11.5% 92.1% 85.8 4.50% 3.30% 201
Lance Lynn STL 0.287 0.204 -0.083 45.3% 0.165 4.6% 79.1% 87 7.00% 4.60% 172
Luis Perdomo SDG 0.302 0.336 0.034 65.6% 0.139 6.5% 92.8% 86.7 5.30% 3.70% 151
Michael Fulmer DET 0.304 0.283 -0.021 48.9% 0.204 10.1% 87.8% 85.3 4.40% 3.30% 227
Mike Foltynewicz ATL 0.282 0.300 0.018 43.0% 0.244 10.7% 86.4% 86.2 7.30% 5.20% 179
Mike Pelfrey CHW 0.274 0.228 -0.046 47.2% 0.197 7.1% 88.8% 86.4 5.50% 4.20% 128
Rick Porcello BOS 0.311 0.367 0.056 37.9% 0.217 9.3% 85.6% 88.9 9.50% 7.00% 241
Stephen Strasburg WAS 0.295 0.272 -0.023 46.6% 0.192 7.6% 86.3% 88 8.70% 5.70% 196
Trevor Bauer CLE 0.304 0.347 0.043 43.9% 0.213 11.1% 86.5% 90.8 13.20% 8.20% 152
Ty Blach SFO 0.307 0.250 -0.057 50.8% 0.199 7.1% 89.7% 86.5 5.10% 4.30% 196
Wade Miley BAL 0.304 0.286 -0.018 55.2% 0.213 14.6% 91.1% 87 5.10% 3.40% 175
Yovani Gallardo SEA 0.283 0.324 0.041 47.9% 0.234 13.0% 87.5% 88.3 6.30% 4.60% 191
Yu Darvish TEX 0.285 0.259 -0.026 37.1% 0.258 5.6% 85.8% 87.1 6.70% 4.20% 195
Zack Greinke ARI 0.288 0.267 -0.021 45.2% 0.171 12.0% 84.3% 86.7 7.90% 5.20% 202
Zack Wheeler NYM 0.327 0.305 -0.022 49.4% 0.234 7.0% 85.4% 87.7 6.90% 4.70% 159
Jacob Faria TAM 0.285

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.

We’re not keeping a lot of arms tonight, but the ones we are grade above a lot of marginal ones I made the decision to cut today that could have been tier four guys (Darvish, Porcello, Lackey).

Value Tier One

Dallas Keuchel (1) is the man the on this slate. He hasn’t gone more than six innings since his brief stay on the DL, but I feel like today is the say against the second worst offense against LHP. If you ever want to bet on batted ball results, he’s the guy and with enough strikeouts to make it work. Can’t wait to check the new PlateIQ tool later, but this would seem the ideal matchup for him against an offense that is willing to chase out of the zone and make weak contact. They are 25th in baseball with an 85 sOPS+ against ground ball pitchers.

Value Tier Two

Buck Farmer – I don’t necessarily have all the information here, but the strong peripherals at a miniscule cost against a below average offense is enough.

Zack Greinke (2) costs the same as Keuchel. While he may be in a higher strikeout spot, there’s probably just a bit more risk in that park and the Padres are actually a bit better vs RHP than the Royals are against lefties.

Value Tier Three

Jimmy Nelson has been a Cy Young candidate in his last two starts. We’re going to be a bit more conservative with him and move slowly here because he’s disappointed us in the past and I can’t immediately find the reason for the sudden strikeout spike.

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.

Luis Perdomo is likely to go under-owned tonight with an ERA over five in Arizona. You can really make a favorable comparison to a lot of his numbers with Keuchel though. In no way am I saying they are the same pitcher and they are in completely different situations tonight, but he costs just half the price 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.