Advanced Stats - Pitching: Thursday, June 8th

Hopefully you were able to access your lineups and swap out Dallas Keuchel when he was scratched at the last minute last night. I had momentarily forgotten that FanDuel had made this possible this year and would have had an early night without the ability to switch to Zack Greinke and watch myself bubble. Perhaps I should have left a few grand on the table and went with Buck Farmer instead.

Unfortunately, it’s almost all top priced guys again tonight.

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+
Alec Asher BAL -3.5 4.87 4.82 35.1% 1.01 5.44 4.43 WAS 122 112 105
Ben Lively PHI 4 7.47 7. 50.0% 1 7.47 ATL 100 94 117
Christian Bergman SEA 6.7 4.61 5.11 38.2% 0.89 4.53 4.96 MIN 101 107 99
Clayton Richard SDG -7.9 3.97 6.01 60.9% 1.13 4.34 3.65 ARI 118 72 65
David Price BOS 5.1 3.36 6.65 43.6% 1.01 3.88 3.8 NYY 122 101 117
Derek Holland CHW 0.4 4.82 5.65 38.6% 0.96 5.38 4.93 TAM 106 83 52
Edinson Volquez MIA 4.7 4.61 5.72 49.0% 0.97 4.81 3.91 PIT 90 92 131
Gerrit Cole PIT -7.4 3.88 6. 45.5% 0.97 4.06 4.56 MIA 95 92 81
Jake Odorizzi TAM 0.8 4.19 5.61 35.5% 0.96 4.27 6.57 CHW 88 80 86
Jason Hammel KAN 8 4.25 5.25 39.2% 1.06 4.34 4.4 HOU 128 124 135
JC Ramirez ANA -5.6 4.16 6.02 48.8% 0.98 3.97 4.63 DET 125 101 174
Joe Ross WAS -1.9 3.95 5.52 43.7% 1.01 3.73 4.48 BAL 98 95 112
Johnny Cueto SFO -0.2 3.75 6.61 45.9% 1.02 3.35 2.27 MIL 97 97 82
Jon Lester CHC 2.3 3.47 6.32 48.4% 0.96 3.39 5.52 COL 92 90 120
Kyle Gibson MIN 9.1 4.48 5.73 50.8% 0.89 4.92 4.66 SEA 118 112 152
Lance McCullers HOU 1.6 3.51 5.73 53.8% 1.06 3.33 2.49 KAN 84 83 112
Michael Fulmer DET 2.6 4.02 6.32 49.0% 0.98 4.11 4.29 ANA 76 90 98
Michael Pineda NYY 1.3 3.42 5.6 46.4% 1.01 3.23 5.81 BOS 104 95 63
Mike Leake STL -11.6 3.94 6.2 53.0% 1.02 3.89 3.55 CIN 108 105 122
Paolo Espino MIL -4 4.07 4. 38.5% 1.02 SFO 77 77 106
Patrick Corbin ARI -4.9 4.12 5.45 50.9% 1.13 4.27 4.9 SDG 78 61 78
R.A. Dickey ATL 2.6 4.95 6.11 43.4% 1 5.01 7.47 PHI 77 89 112
Scott Feldman CIN 13.6 4.43 5.53 47.2% 1.02 4.34 4.89 STL 89 95 75
Tyler Chatwood COL 0.7 4.57 5.9 57.2% 0.96 4.16 3.72 CHC 105 88 110


David Price has struck out 11 of 45 batters in two starts in Chicago (AL) and Baltimore, while allowing two HRs, but a -17.3 Hard-Soft%. His velocity and skills seem to be in tact with career rates as he worked his way above 90 pitches in his last start. He has another tough one in New York against a Yankees offense with a 19.4 HR/FB at home and a double digit walk rate, but they are just league average against LHP (23.8 K%).

Jon Lester has allowed nine runs over his last 9.1 innings with three HRs, five walks and just seven strikeouts (43 BF). Contact has been a bit harder, but still just around league average, while his ground ball rate has plummeted to 31% against teams who have struggled against LHP the last few years (Cardinals and Dodgers). His SwStr has been below 8% in each start as well with his velocity down a bit further. There’s concern, but he still has allowed the lowest rate of Barrels on the board (2.7% PA) and has a nice matchup against the Rockies (15.9 K-BB% on the road), another lineup that struggles against LHP (17.0 K-BB%).

Lance McCullers has a 20.9 K-BB%, 61.7 GB% and 2.2 Hard-Soft%. He did not make it out of the fifth inning in his last start, but eight of the 22 Rangers he faced struck out, while another nine put it on the ground with a 0.0 Hard-Soft%. The Royals have just a 9.0 HR/FB at home and have just an 87 sOPS+ vs ground ball pitchers (Baseball-Reference).

Michael Pineda has a 19.5 K-BB%, 50.3 GB% and 26.8 Hard%. He also struggled in his last start, but his misfortune may have been more earned with just one strikeout against three walks. Ten of 22 batted balls remained on the ground with a -4.3 Hard-Soft%, but his 6.9 SwStr% was his lowest mark of the season by two entire points against Toronto. The Boston offense has been sup-par and ice cold over the last week (-1.3 Hard-Soft%), but still tend to limit opposing pitcher daily fantasy points by virtue of a low strikeout rate.

Tyler Chatwood generated ground balls and has a -0.6 Hard-Soft% on the road since last season. His 11.1 K-BB% is doubled on the road this season as well, though he still has a double digit walk rate. His road starts this year have been in San Diego (twice), Philadelphia, Minnesota (five walks), San Francisco, and Milwaukee (two HRs). Not exactly a murderers row and with some difficulty in the two spots you might expect. The Cubs have a 16.3 HR/FB at home, but have struggled against RHP this year.

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)

Jake Odorizzi (.225 – 76.2% – 18.0) has a league average 12.4 K-BB%, but a concerning 22.8 Hard-Soft%, though is Statcast rates are not so damning. He’s allowed a HR in every start he’s lasted more than an inning in and hasn’t struck out more batters than he’s walked in two outings. It would seem one of the best spots on the board at home against the predominantly right-handed White Sox, but remember that he has a pronounced reverse split.

Derek Holland (.273 – 73.4% – 13.8) has allowed 35 runs, only 24 of which were earned. His estimators are all around five with a 39.2% hard hit rate with a similar rate of batted balls above 95 mph according to Statcast.

Christian Bergman (.283 – 83.3% – 15.6)

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

Joe Ross has allowed at least five runs in fewer than five innings in four of his six starts. His 15.6 K-BB% is right in line with his career rate, but contact has been a disaster (37.6 GB%, 39.4 Hard%, 22.5 HR/FB, 9.6% Barrels/BBE). He’s been nearly equally as bad against right and left-handed batters this year. While he’s still throwing sinkers and sliders more than 90% of the time, the sinker is slower, while the slider is harder. He’s throwing more first pitch strikes, but getting fewer chases out of the zone. The harder slider appears to be getting much less vertical movement. Maybe it looks too much like his sinker because that’s the pitch really being punished (.387 ISO). Just throw the slider 90% of the time? Baltimore leans heavily right-handed which would be a positive if he were at least still getting them out. He might become interesting for $7K if Machado is out tonight.

Gerrit Cole has allowed eight HRs over his last three starts (14.2 IP – 16 ER – 4 BB – 11 K – 75 BF. He has just a 33.1 GB% and 44.1 Hard% over that span. His pitch mix has remained relatively stable as has his velocity, but every single plate discipline metric has declined. Against a Miami offense with most of their power coming from the right-hand side, he could fare better in this spot at home, but with fewer swings and misses and much harder contact, something certainly appears off here after showing so much promise for about a month long period starting in mid-April.

Edinson Volquez threw the game of his life last time out with a season high 10 strikeouts and just two walks. Doing that on just 98 pitches may make the no-hitter hangover a bit less likely as well. While it was the first time he’d struck out more than five in a month, his walk rate has been just about league average over that span as well (8.8%) with a 53.6 GB% and 6.9 Hard-Soft%. A .235 BABIP and 8.3 HR/FB makes his ERA look a bit better. The Pirates have just a 9.9 HR/FB at home, so that last one may not be a candidate for immediate regression, but they don’t strike out a lot and do exhibit patience. While we recognize some gains over the last month not just limited to the no-hitter, this guy has been driving people nuts for years. There’s an extensive track record involved. Something around $8K seems about appropriate here.

Ben Lively lasted seven innings in his major league debut against the Giants. He walked three and didn’t strike out anybody. His strikeout rate hovered around average in the high minors, while his walk rate improved each year. His upside appears to be back of the rotation. The Braves have just a 13.4 K% over the last week.

Alec Asher has allowed six runs in 18.2 innings with 14 strikeouts, two walks and three HRs in starts not against the Houston Astros, but has had just a 7.4 SwStr% in each of his last two starts. He’s in a tough spot in Washington tonight.

Jason Hammel gets the dreaded Houston matchup. They are basically akin to facing a league average offense at Coors right now.

Kyle Gibson has struck out a few more batters in three starts since returning, but has walked a few more too and has not completed six innings in any start this year.

R.A. Dickey

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%
Alec Asher Orioles L2 Years 14.2% 5.5% Road 12.7% 4.5% L14 Days 16.7% 2.4%
Ben Lively Phillies L2 Years 0.0% 11.5% Road L14 Days 0.0% 11.5%
Christian Bergman Mariners L2 Years 14.7% 5.8% Home 20.8% 6.7% L14 Days 16.0% 8.0%
Clayton Richard Padres L2 Years 14.4% 7.1% Road 12.8% 8.7% L14 Days 14.6% 1.8%
David Price Red Sox L2 Years 25.3% 5.2% Road 21.5% 6.0% L14 Days 24.4% 6.7%
Derek Holland White Sox L2 Years 16.7% 8.0% Road 15.7% 8.7% L14 Days 22.7% 13.6%
Edinson Volquez Marlins L2 Years 17.6% 9.3% Road 15.0% 10.4% L14 Days 21.6% 8.1%
Gerrit Cole Pirates L2 Years 20.8% 5.9% Home 19.4% 6.6% L14 Days 17.7% 5.9%
Jake Odorizzi Rays L2 Years 21.5% 7.4% Home 22.6% 7.4% L14 Days 14.0% 16.3%
Jason Hammel Royals L2 Years 20.9% 7.8% Home 20.6% 8.6% L14 Days 22.2% 8.3%
JC Ramirez Angels L2 Years 17.6% 6.8% Road 18.6% 5.7% L14 Days 12.5% 2.1%
Joe Ross Nationals L2 Years 21.2% 6.5% Home 19.3% 4.4% L14 Days 20.5% 6.8%
Johnny Cueto Giants L2 Years 21.7% 5.4% Road 24.5% 6.1% L14 Days 34.0% 2.0%
Jon Lester Cubs L2 Years 25.2% 6.6% Home 25.1% 6.8% L14 Days 16.3% 11.6%
Kyle Gibson Twins L2 Years 17.4% 8.8% Road 15.7% 9.6% L14 Days 21.7% 13.0%
Lance McCullers Astros L2 Years 27.1% 9.7% Road 25.1% 10.6% L14 Days 33.3% 8.3%
Michael Fulmer Tigers L2 Years 20.0% 6.1% Home 19.4% 5.3% L14 Days 14.8% 3.3%
Michael Pineda Yankees L2 Years 25.3% 5.9% Home 27.9% 6.3% L14 Days 12.0% 12.0%
Mike Leake Cardinals L2 Years 16.6% 4.5% Road 16.8% 4.7% L14 Days 19.5% 2.4%
Paolo Espino Brewers L2 Years 16.7% 0.0% Home L14 Days
Patrick Corbin Diamondbacks L2 Years 19.3% 7.6% Home 19.4% 8.5% L14 Days 14.0% 8.0%
R.A. Dickey Braves L2 Years 15.1% 8.3% Home 15.4% 9.0% L14 Days 7.0% 17.5%
Scott Feldman Reds L2 Years 16.2% 7.0% Home 17.1% 8.1% L14 Days 11.1% 6.7%
Tyler Chatwood Rockies L2 Years 18.3% 10.9% Road 19.9% 11.0% L14 Days 25.3% 10.7%

K/BB Chart – Opponent

Opponent Split K% BB% Split K% BB% Split K% BB%
Nationals Home 19.1% 9.6% RH 19.2% 9.3% L7Days 18.0% 8.4%
Braves Home 19.7% 8.6% RH 19.6% 7.9% L7Days 13.4% 7.9%
Twins Road 21.3% 8.8% RH 22.5% 10.1% L7Days 22.8% 7.3%
Diamondbacks Home 21.5% 8.9% LH 24.1% 6.9% L7Days 27.3% 11.6%
Yankees Home 24.2% 10.8% LH 23.8% 10.8% L7Days 25.0% 6.9%
Rays Home 25.2% 10.1% LH 27.7% 10.7% L7Days 26.8% 8.4%
Pirates Home 19.5% 9.4% RH 18.8% 8.6% L7Days 19.7% 8.1%
Marlins Road 21.2% 6.1% RH 20.6% 7.0% L7Days 23.4% 7.5%
White Sox Road 21.8% 6.0% RH 23.7% 6.0% L7Days 25.4% 6.1%
Astros Road 18.3% 9.1% RH 18.2% 7.9% L7Days 18.5% 7.6%
Tigers Home 19.3% 10.1% RH 22.9% 10.2% L7Days 14.0% 8.5%
Orioles Road 25.2% 6.2% RH 22.2% 6.8% L7Days 23.2% 5.4%
Brewers Home 26.9% 8.8% RH 25.1% 8.7% L7Days 32.8% 7.6%
Rockies Road 23.5% 7.6% LH 23.4% 6.4% L7Days 23.6% 12.4%
Mariners Home 19.4% 10.0% RH 20.4% 8.7% L7Days 18.9% 9.0%
Royals Home 19.4% 6.8% RH 21.1% 6.3% L7Days 21.2% 4.4%
Angels Road 21.5% 9.7% RH 19.8% 8.8% L7Days 16.1% 8.5%
Red Sox Road 18.6% 8.9% RH 18.6% 9.1% L7Days 19.0% 5.7%
Reds Home 21.5% 8.9% RH 21.0% 8.7% L7Days 22.2% 10.9%
Giants Road 19.9% 8.5% RH 19.5% 7.6% L7Days 16.9% 11.5%
Padres Road 26.7% 7.1% LH 23.6% 9.2% L7Days 32.8% 4.0%
Phillies Road 23.5% 7.2% RH 23.0% 7.9% L7Days 18.2% 4.7%
Cardinals Road 20.8% 8.4% RH 20.9% 8.7% L7Days 25.1% 9.9%
Cubs Home 21.0% 10.2% RH 21.9% 9.0% L7Days 20.0% 10.7%

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%
Alec Asher Orioles L2 Years 31.2% 11.2% 10.5% 2017 30.6% 12.5% 9.9% Road 35.9% 11.4% 19.9% L14 Days 24.2% 11.8% -3.1%
Ben Lively Phillies L2 Years 18.2% 0.0% -13.6% 2017 18.2% 0.0% -13.6% Road L14 Days 18.2% 0.0% -13.6%
Christian Bergman Mariners L2 Years 34.4% 14.7% 18.9% 2017 31.1% 15.6% 15.1% Home 32.6% 10.8% 16.3% L14 Days 21.6% 12.5% 5.4%
Clayton Richard Padres L2 Years 27.3% 13.9% 7.3% 2017 30.0% 17.8% 11.9% Road 27.3% 19.6% 6.8% L14 Days 31.1% 11.1% 4.4%
David Price Red Sox L2 Years 32.1% 12.1% 13.1% 2017 24.1% 16.7% -17.3% Road 33.4% 11.4% 12.8% L14 Days 24.1% 16.7% -17.3%
Derek Holland White Sox L2 Years 34.7% 12.7% 18.3% 2017 39.3% 13.8% 21.0% Road 35.2% 12.2% 16.0% L14 Days 48.2% 40.0% 29.7%
Edinson Volquez Marlins L2 Years 31.3% 11.2% 12.6% 2017 34.3% 12.0% 16.2% Road 35.0% 16.8% 15.2% L14 Days 26.9% 6.7% 5.7%
Gerrit Cole Pirates L2 Years 31.4% 9.5% 11.4% 2017 35.1% 19.7% 18.0% Home 32.2% 11.2% 12.1% L14 Days 51.3% 46.2% 38.5%
Jake Odorizzi Rays L2 Years 31.9% 12.7% 14.7% 2017 34.2% 18.0% 22.8% Home 34.4% 12.4% 17.1% L14 Days 40.0% 21.4% 36.7%
Jason Hammel Royals L2 Years 33.3% 13.2% 15.6% 2017 32.3% 10.6% 16.1% Home 29.3% 10.0% 9.9% L14 Days 30.0% 12.5% 16.0%
JC Ramirez Angels L2 Years 31.2% 16.1% 13.1% 2017 36.7% 17.2% 21.1% Road 31.4% 17.1% 11.7% L14 Days 40.0% 20.0% 27.5%
Joe Ross Nationals L2 Years 31.5% 12.3% 14.0% 2017 39.4% 22.5% 18.2% Home 29.8% 13.1% 9.1% L14 Days 45.2% 21.4% 22.6%
Johnny Cueto Giants L2 Years 29.4% 9.9% 11.2% 2017 36.5% 16.4% 23.0% Road 31.7% 18.0% 13.2% L14 Days 40.6% 9.1% 34.3%
Jon Lester Cubs L2 Years 27.1% 10.7% 6.7% 2017 25.5% 13.1% 4.5% Home 26.1% 9.3% 6.2% L14 Days 32.3% 23.1% 16.2%
Kyle Gibson Twins L2 Years 30.8% 13.2% 13.0% 2017 39.3% 16.7% 24.8% Road 33.0% 13.4% 16.7% L14 Days 53.3% 0.0% 43.3%
Lance McCullers Astros L2 Years 26.7% 12.8% 5.1% 2017 25.0% 18.2% 2.2% Road 31.5% 6.9% 14.0% L14 Days 25.0% 25.0% 0.0%
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%
Michael Pineda Yankees L2 Years 30.7% 18.2% 12.6% 2017 26.8% 22.0% 9.3% Home 33.2% 20.5% 17.0% L14 Days 15.8% 16.7% -13.2%
Mike Leake Cardinals L2 Years 30.1% 12.4% 13.4% 2017 27.9% 12.9% 12.0% Road 33.4% 10.6% 18.0% L14 Days 29.0% 22.2% 19.3%
Paolo Espino Brewers L2 Years 26.7% 0.0% 13.4% 2017 26.7% 0.0% 13.4% Home L14 Days
Patrick Corbin Diamondbacks L2 Years 36.1% 17.0% 20.5% 2017 36.0% 19.7% 20.6% Home 41.1% 17.2% 28.4% L14 Days 41.0% 36.4% 23.0%
R.A. Dickey Braves L2 Years 27.0% 12.2% 5.2% 2017 28.6% 17.9% 3.9% Home 28.8% 18.1% 6.1% L14 Days 35.7% 7.1% 4.7%
Scott Feldman Reds L2 Years 27.1% 13.3% 7.1% 2017 32.3% 15.1% 11.3% Home 28.4% 12.3% 5.1% L14 Days 38.2% 40.0% 20.5%
Tyler Chatwood Rockies L2 Years 29.5% 15.3% 9.3% 2017 29.5% 23.8% 6.5% Road 25.2% 10.0% -0.6% L14 Days 27.7% 10.0% -2.1%

Batted Ball Charts – Opponent

Opponent Split Hard% HR/FB% Hd-St% Split Hard% HR/FB% Hd-St% Split Hard% HR/FB% Hd-St%
Nationals Home 32.8% 15.6% 15.5% RH 31.0% 14.4% 13.2% L7Days 28.6% 15.5% 8.0%
Braves Home 31.6% 11.8% 14.1% RH 31.2% 10.6% 13.1% L7Days 31.3% 11.1% 9.8%
Twins Road 32.4% 13.6% 16.8% RH 33.6% 14.0% 18.4% L7Days 32.5% 16.4% 16.2%
Diamondbacks Home 39.8% 17.7% 27.0% LH 31.4% 13.3% 16.5% L7Days 34.4% 13.2% 19.1%
Yankees Home 30.5% 19.4% 7.9% LH 29.2% 13.4% 7.7% L7Days 38.6% 18.6% 24.0%
Rays Home 35.7% 13.7% 16.7% LH 33.5% 11.2% 10.5% L7Days 28.7% 11.1% 4.3%
Pirates Home 29.9% 9.9% 7.9% RH 30.5% 10.2% 8.4% L7Days 36.9% 13.2% 16.5%
Marlins Road 30.2% 13.2% 10.0% RH 31.0% 13.4% 11.2% L7Days 29.7% 12.5% 11.7%
White Sox Road 31.3% 14.2% 13.8% RH 29.4% 13.5% 10.4% L7Days 44.3% 11.1% 32.8%
Astros Road 31.6% 14.5% 14.2% RH 31.6% 15.4% 14.1% L7Days 34.3% 17.9% 18.3%
Tigers Home 50.3% 14.5% 37.5% RH 42.8% 12.8% 28.2% L7Days 55.0% 21.6% 47.0%
Orioles Road 36.1% 14.8% 17.7% RH 29.9% 14.7% 9.3% L7Days 33.3% 21.9% 11.9%
Brewers Home 38.2% 18.5% 17.4% RH 34.1% 18.1% 15.0% L7Days 38.3% 17.0% 16.2%
Rockies Road 30.7% 12.8% 10.2% LH 31.3% 16.3% 11.5% L7Days 29.1% 16.3% 8.2%
Mariners Home 29.7% 12.5% 9.6% RH 30.4% 12.3% 12.4% L7Days 31.9% 19.4% 12.9%
Royals Home 31.9% 9.0% 12.8% RH 32.2% 12.0% 12.9% L7Days 38.3% 8.8% 22.1%
Angels Road 32.6% 11.1% 13.7% RH 29.9% 12.9% 10.0% L7Days 28.7% 13.6% 8.9%
Red Sox Road 32.6% 12.9% 12.4% RH 35.4% 10.2% 17.7% L7Days 26.4% 14.5% -1.3%
Reds Home 29.2% 16.1% 7.5% RH 29.0% 14.6% 8.2% L7Days 30.4% 22.6% 3.8%
Giants Road 30.5% 9.7% 9.9% RH 28.7% 9.1% 7.3% L7Days 25.7% 8.0% 4.1%
Padres Road 31.0% 15.0% 9.6% LH 29.4% 10.4% 7.0% L7Days 39.1% 20.5% 19.1%
Phillies Road 28.4% 11.2% 6.5% RH 29.5% 11.4% 8.2% L7Days 29.9% 18.8% 14.0%
Cardinals Road 32.6% 11.2% 15.5% RH 30.6% 12.0% 11.3% L7Days 31.0% 12.8% 10.7%
Cubs Home 31.2% 16.3% 14.4% RH 29.8% 12.6% 12.7% L7Days 32.9% 16.7% 16.5%

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%
Alec Asher BAL 18.3% 9.5% 1.93 20.0% 11.0% 1.82
Ben Lively PHI 0.0% 5.1% 0.00 0.0% 5.1% 0.00
Christian Bergman SEA 14.5% 7.3% 1.99 14.6% 7.1% 2.06
Clayton Richard SDG 16.7% 8.5% 1.96 17.9% 7.4% 2.42
David Price BOS 24.4% 12.2% 2.00 24.4% 12.2% 2.00
Derek Holland CHW 19.9% 8.6% 2.31 19.5% 7.9% 2.47
Edinson Volquez MIA 22.1% 9.1% 2.43 20.0% 8.8% 2.27
Gerrit Cole PIT 20.3% 9.3% 2.18 14.8% 8.5% 1.74
Jake Odorizzi TAM 20.5% 11.3% 1.81 19.8% 11.5% 1.72
Jason Hammel KAN 17.7% 8.8% 2.01 16.3% 8.8% 1.85
JC Ramirez ANA 18.9% 8.6% 2.20 13.3% 6.6% 2.02
Joe Ross WAS 20.6% 9.4% 2.19 21.1% 10.5% 2.01
Johnny Cueto SFO 24.2% 12.4% 1.95 28.5% 13.8% 2.07
Jon Lester CHC 23.8% 10.8% 2.20 25.2% 11.2% 2.25
Kyle Gibson MIN 15.4% 10.4% 1.48 20.8% 12.5% 1.66
Lance McCullers HOU 28.2% 12.2% 2.31 27.2% 12.0% 2.27
Michael Fulmer DET 19.3% 9.7% 1.99 16.2% 9.1% 1.78
Michael Pineda NYY 25.1% 13.6% 1.85 18.6% 13.5% 1.38
Mike Leake STL 18.1% 8.3% 2.18 19.1% 9.0% 2.12
Paolo Espino MIL 16.7% 7.0% 2.39 16.7% 7.0% 2.39
Patrick Corbin ARI 17.8% 9.6% 1.85 16.4% 7.0% 2.34
R.A. Dickey ATL 10.7% 6.2% 1.73 7.7% 5.4% 1.43
Scott Feldman CIN 18.8% 8.2% 2.29 17.9% 7.1% 2.52
Tyler Chatwood COL 20.3% 10.1% 2.01 24.0% 11.7% 2.05


It’s just a perennial offender and a knuckleballer 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
Alec Asher BAL 3.62 4.29 0.67 4.93 1.31 4.77 1.15 5.17 1.55 4.58 4.06 -0.52 4.9 0.32 5.14 0.56
Ben Lively PHI 1.29 7.47 6.18 6.77 5.48 4.77 3.48 5.79 4.50 1.29 7.47 6.18 6.77 5.48 4.77 3.48
Christian Bergman SEA 4.36 5.04 0.68 5.32 0.96 5.7 1.34 7.17 2.81 4.6 5.11 0.51 5.35 0.75 5.96 1.36
Clayton Richard SDG 4.36 3.88 -0.48 3.54 -0.82 3.88 -0.48 4.82 0.46 3.74 3.46 -0.28 3.14 -0.6 3 -0.74
David Price BOS 3 3.8 0.8 4.22 1.22 4.64 1.64 2.92 -0.08 3 3.8 0.8 4.22 1.22 4.64 1.64
Derek Holland CHW 3.43 4.71 1.28 4.99 1.56 5.04 1.61 5.63 2.20 5.27 4.97 -0.3 5.06 -0.21 6.75 1.48
Edinson Volquez MIA 3.79 4.71 0.92 4.33 0.54 4.18 0.39 3.15 -0.64 3 4.25 1.25 4 1 3.51 0.51
Gerrit Cole PIT 4.27 4.02 -0.25 3.92 -0.35 4.79 0.52 4.48 0.21 5.97 4.73 -1.24 4.64 -1.33 6.2 0.23
Jake Odorizzi TAM 3.53 4.48 0.95 4.52 0.99 5.24 1.71 4.98 1.45 4.15 5 0.85 5.14 0.99 5.79 1.64
Jason Hammel KAN 5.93 4.92 -1.01 5.35 -0.58 4.81 -1.12 6.42 0.49 6.3 4.95 -1.35 5.46 -0.84 5.53 -0.77
JC Ramirez ANA 4.11 4.11 0 3.97 -0.14 4.45 0.34 3.65 -0.46 4.5 4.35 -0.15 4.17 -0.33 5.62 1.12
Joe Ross WAS 7.34 4.06 -3.28 4.13 -3.21 5.67 -1.67 5.52 -1.82 7.2 3.91 -3.29 3.99 -3.21 5.13 -2.07
Johnny Cueto SFO 4.38 3.65 -0.73 3.46 -0.92 3.84 -0.54 3.42 -0.96 4.22 3.06 -1.16 2.73 -1.49 2.93 -1.29
Jon Lester CHC 3.91 3.94 0.03 3.7 -0.21 3.66 -0.25 3.50 -0.41 4.8 3.81 -0.99 3.45 -1.35 3.73 -1.07
Kyle Gibson MIN 7.23 5.21 -2.02 5.1 -2.13 5.52 -1.71 6.37 -0.86 5.63 4.77 -0.86 4.26 -1.37 3.87 -1.76
Lance McCullers HOU 2.71 2.97 0.26 2.68 -0.03 2.97 0.26 2.39 -0.32 1.65 2.78 1.13 2.57 0.92 2.47 0.82
Michael Fulmer DET 3 4 1 3.89 0.89 2.98 -0.02 2.72 -0.28 3.25 4.03 0.78 3.87 0.62 2.23 -1.02
Michael Pineda NYY 3.76 3.43 -0.33 3.37 -0.39 4.39 0.63 2.49 -1.27 4.5 4.4 -0.1 4.36 -0.14 5.16 0.66
Mike Leake STL 2.64 3.84 1.2 3.65 1.01 3.59 0.95 3.63 0.99 3.63 3.72 0.09 3.68 0.05 4.79 1.16
Paolo Espino MIL 4.5 4.07 -0.43 3.74 -0.76 1.56 -2.94 7.48 2.98 4.5 4.07 -0.43 3.74 -0.76 1.56 -2.94
Patrick Corbin ARI 5.43 4.33 -1.1 4.25 -1.18 5.12 -0.31 7.31 1.88 7.67 4.44 -3.23 4.46 -3.21 6.73 -0.94
R.A. Dickey ATL 5.1 5.8 0.7 5.66 0.56 6.26 1.16 8.81 3.71 6.07 6.58 0.51 6.66 0.59 6.3 0.23
Scott Feldman CIN 4.52 4.59 0.07 4.25 -0.27 4.43 -0.09 4.66 0.14 5.76 4.44 -1.32 4.07 -1.69 5.1 -0.66
Tyler Chatwood COL 4.6 4.46 -0.14 3.91 -0.69 4.69 0.09 3.54 -1.06 4.4 4.45 0.05 3.83 -0.57 3.37 -1.03


Michael Pineda looks like he’s had a bad month, but look at his SwStr%. A return to his normal strikeout rate would bring his K% up and his estimators down, while it was really just one terrible start. He’ll probably always have a bit of a HR problem in that park.

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
Alec Asher BAL 0.306 0.257 -0.049 33.9% 0.22 22.9% 87.2% 86.1 7.20% 5.20% 111
Ben Lively PHI 0.297 0.182 -0.115 50.0% 0.136 12.5% 94.3%
Christian Bergman SEA 0.282 0.283 0.001 41.7% 0.146 13.3% 89.1% 88.5 7.50% 5.80% 106
Clayton Richard SDG 0.302 0.345 0.043 57.8% 0.232 4.4% 88.8% 86 4.90% 3.80% 243
David Price BOS 0.312 0.111 -0.201 37.9% 0.207 16.7% 86.4%
Derek Holland CHW 0.274 0.273 -0.001 36.2% 0.205 5.0% 87.2% 89.2 9.70% 6.60% 186
Edinson Volquez MIA 0.276 0.288 0.012 47.9% 0.215 6.0% 87.2% 87.3 6.00% 3.90% 166
Gerrit Cole PIT 0.302 0.285 -0.017 46.0% 0.18 5.3% 86.6% 87.3 9.50% 7.00% 222
Jake Odorizzi TAM 0.283 0.225 -0.058 33.3% 0.252 3.3% 82.0% 86.5 6.70% 4.80% 149
Jason Hammel KAN 0.302 0.328 0.026 34.0% 0.215 8.2% 88.9% 88.5 7.30% 5.30% 192
JC Ramirez ANA 0.282 0.287 0.005 45.7% 0.218 7.8% 88.9% 87.2 6.00% 4.50% 199
Joe Ross WAS 0.293 0.365 0.072 37.6% 0.228 0.0% 85.0% 86.5 9.60% 7.10% 104
Johnny Cueto SFO 0.307 0.305 -0.002 40.6% 0.258 9.6% 84.4% 88 7.20% 5.00% 222
Jon Lester CHC 0.289 0.323 0.034 50.0% 0.186 1.6% 83.3% 85.1 4.00% 2.70% 200
Kyle Gibson MIN 0.275 0.362 0.087 50.7% 0.201 2.4% 88.8% 89 9.00% 6.50% 145
Lance McCullers HOU 0.291 0.287 -0.004 61.7% 0.194 3.0% 88.2% 85.6 5.00% 3.10% 180
Michael Fulmer DET 0.301 0.283 -0.018 48.9% 0.204 10.1% 87.8% 85.3 4.40% 3.30% 227
Michael Pineda NYY 0.280 0.276 -0.004 50.3% 0.171 6.8% 86.0% 87 7.10% 4.90% 183
Mike Leake STL 0.288 0.234 -0.054 54.1% 0.18 1.6% 89.6% 87.4 5.30% 4.10% 226
Paolo Espino MIL 0.305 0.333 0.028 38.5% 0.231 0.0% 100.0%
Patrick Corbin ARI 0.290 0.332 0.042 49.1% 0.195 8.5% 86.8% 89.5 8.30% 6.30% 228
R.A. Dickey ATL 0.282 0.279 -0.003 50.9% 0.189 13.4% 88.8% 84.6 5.30% 4.00% 227
Scott Feldman CIN 0.278 0.305 0.027 43.0% 0.285 9.4% 87.1% 83.8 5.60% 4.00% 195
Tyler Chatwood COL 0.287 0.263 -0.024 57.4% 0.213 2.4% 88.9% 85.1 5.00% 3.40% 200

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

Lance McCullers (1) is the only $10K pitcher on the board on either site and deservedly so. With 17 of 22 batters either putting it on the ground or striking out with very little hard contact in his last start, getting knocked out before finishing five innings appears to have been a fluke. He’s the top pitcher on the slate by a pretty significant margin.

Value Tier Two

Michael Pineda is coming off his worst start of the season and while an assignment at Yankee Stadium against the Red Sox is not enviable, this is not nearly the same offense as last year. They’ve been below average against RHP.

Value Tier Three

David Price looks to be his old self after two starts and shouldn’t have any strict workload limits imposed. It’s not a favorable spot on the road against the Yankees though.

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.

Jon Lester certainly gives us reason for concern over his last two starts, but there’s a long track record there and not very many other reliable pitchers on the slate, though the top end is strong. He does have a favorable matchup, but would probably be the last of the $9K+ pitchers I’d choose today.

Tyler Chatwood has this narrative that he’s a much better pitcher on the road and who isn’t when you call Coors home, but that might be over-stated. While he’s probably your best choice for less than $8K, he still issues a lot of walks away from home, playing directly into the strength of this Chicago offense and has mostly found himself in great spots in his road starts this year. He should keep the ball on the ground and generate strikeouts at something close to a league average rate though.

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.