Advanced Stats - Pitching: Thursday, May 25th

Just a five-game night slate on Thursday, but we’re in a bit of a hurry as the baseball day kicks off at noon today. Chris Sale faders probably were happy last night, not because he pitched poorly (22.3 DK points, 41 FD points), but because several cheaper pitchers either did better (Severino) or nearly as well (Morton, Hendricks). A Sale/Ramirez combination still got you 36.8 points on DraftKings and probably didn’t kill you, while leaving room for a few bats.

Since I’m skimping on the open today, I’d like to leave readers with this bit of listening material on the evolution of DRA over the last few years, as it still appears to be a work in progress.

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

UPDATE: Jacob deGrom has been pushed back to tomorrow. Rafael Montero will start tonight instead.

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+
Ariel Miranda SEA 5.3 4.42 5.43 35.0% 1.01 5.75 3.11 WAS 127 127 85
Bartolo Colon ATL 5.4 4.34 5.86 42.9% 1 3.62 4.37 PIT 79 84 107
Daniel Wright ANA -4.1 5.13 5. 38.8% 0.96 5.19 TAM 113 115 104
Drew Pomeranz BOS 0.4 3.65 5.36 45.0% 1.13 3.51 4.64 TEX 86 77 110
Eddie Butler CHC 3.4 4.82 5.11 47.8% 0.96 4.45 5.97 SFO 72 73 77
Gio Gonzalez WAS -6 4.05 5.66 48.8% 1.01 3.7 4.71 SEA 91 72 37
Ivan Nova PIT -5.8 4.04 5.83 51.7% 1 3.66 3.62 ATL 99 96 121
Jacob deGrom NYM -4.1 3.24 6.28 44.9% 0.91 3.24 3.14 SDG 80 83 69
Jeff Samardzija SFO 2.1 4 6.52 43.0% 0.96 3.76 2.63 CHC 102 91 137
Justin Verlander DET 4.3 3.74 6.6 33.5% 0.94 4.08 4.8 HOU 110 118 73
Kenta Maeda LOS -1.3 3.68 5.51 42.4% 0.89 3.79 3.82 STL 93 101 68
Masahiro Tanaka NYY 0 3.7 6.32 48.5% 1.01 3.58 5.11 KAN 71 79 81
Matt Andriese TAM -0.1 3.97 5.45 44.1% 0.96 3.88 4.28 ANA 79 93 111
Michael Wacha STL -10.2 4.09 5.76 45.1% 0.89 4.21 4.49 LOS 120 111 103
Miguel Almonte KAN 8.5 4.58 52.2% 1.01 NYY 132 122 86
Mike Fiers HOU -3.5 4.2 5.68 41.1% 0.94 3.75 4.15 DET 85 99 86
Nick Martinez TEX 0.7 5.15 5.43 44.7% 1.13 6.13 5.05 BOS 89 102 106
Robbie Ray ARI -5 3.82 5.54 44.0% 1.02 3.38 5.56 MIL 103 112 88
Tyler Anderson COL 2.6 3.86 5.79 48.4% 0.96 3.9 2.99 PHI 104 94 45
Vince Velasquez PHI 11.1 3.76 5.44 35.7% 0.96 3.47 4.26 COL 91 81 106
Zach Davies MIL -5.8 4.25 5.66 46.1% 1.02 3.99 5.31 ARI 75 113 123
Dinelson Lamet SDG -9.1 0 0.0% 0.91 NYM 82 95 102


Drew Pomeranz has thrown fewer than 80 pitches in two of his last three starts. He jumped up to 97 in his most recent effort, but it was still his third straight effort of four innings or less. He’s gone no more than six innings in any of his eight starts this season and more than 5.1 only twice. This is more of an issue than his high ERA. He’s also allowing much more hard contact (36.1 Hard%, 9.3% Barrels/BBE) with the lowest GB rate (38.7%) of his career. His 17.2 K-BB% is identical to last season though. His velocity trended down in each of his first five starts, but has trended up in each of his last three, perhaps due to shorter outings, but again, he threw 97 pitches last time out. His chase rate is down. His contact rates are up. His SwStr% is down two full points and may not support his SwStr%, but seems to be more in line over the last month. We can’t just look at the strikeout rate and deny there are issues here, but the matchup may not be that bad and it is just a five game slate (hopefully). The Rangers are one of the worst offenses in baseball against LHP (16.7 K-BB%).

Jacob deGrom is the top pitcher in action on any slate today. His 15.3 SwStr% is tops and his 32.3 K% is the only rate above 29%. He’s struck out at least nine in five of his last seven starts. His walk (9.8%) and hard contact (36.3%) rates are the highest of his career, while he’s already almost half way to his career high in HRs (16 with seven this year), but weather is really the only issue here. He’s facing the Padres ast home (18.1 K-BB% on the road, 16.7 K-BB% vs RHP, -2.0 Hard-Soft% last seven days).

Justin Verlander has now had a double digit SwStr% in three straight starts, which is great news for at least one aspect of his game. His 36.3 Hard% (above 30% only one other time) with 9.6% Barrels/BBE are concerning, now that his GB rate has dipped to 29.9% and with a career high 11.7 BB%. Houston has decreased their strikeout rate and has been a top offense against RHP. They are also third with a 119 sOPS+ (via Baseball-Reference) against power pitchers and eight against GB pitchers (108 sOPS+).

Kenta Maeda has had a 12.9 SwStr% or better in five of seven starts. He’s also gone at least seven innings in two of his last three, but no more than five in any of his other starts. The good news is that we know they’ll let him throw 100 pitches now. Actually, that’s great news on this slate. His ERA is a run and a half higher this year, though his 19.0 K-BB% is a point better than last year and his 28.9 Hard% is a fraction from being identical to last season, yet he’s 40% of the way to last year’s HR rate, partially due to a steep decline in GB rate (43.9% to 35.8%). His 83.7 mph aEV is one of the top marks on the board. The good news is that he’s been above 40% in each of his last three starts after three straight starts below 30%. Things are trending in the right direction and the Cardinals are an average offense against RHP in one of the most negative run environments in baseball.

Robbie Ray has the highest aEV (89.7 mph) on the entire day along with the highest hard hit rate (46.2%). The Brewers have a 38.7 Hard% and 20 HR/FB at home with a 36 Hard% and 19.2 HR/FB vs LHP. However, they strike out a quarter of the time in both instances. Against power pitchers, that increases to a 29.7 K%, but they also have the second best sOPS+ (121). Much like this matchup appears to be, Ray’s slider has been feast or famine this year, the potential cause of most his glory along with his misery. I’m actually surprised this doesn’t happen with more pitchers. His 28.9 K% is second highest on the day.

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

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

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

Michael Wacha (.295 – 81.1% – 10.5) has seen his has his highest K-BB (16.1%) since his rookie season with a career low 23.3 Hard%, matching his 23.2 LD%. His 83.1 mph aEV supports that. The strand rate is a bit high, but that’s not really the issue here. He’s still certainly a more consistent and improved pitcher this year. Although they didn’t do much last night, the Dodgers are still one of the top offenses at home (21.8 Hard-Soft%) and against RHP (10.1 BB%, 20.3 Hard-Soft%). This is a tough sell for more than $8K, but would be the next man up if we increased the cut mark by one more arm.

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

Dinelson Lamet will make his major league debut against La Mets. It’s almost comical. While he only received a 40 grade and the “25th spot in the organization”:http://www.fangraphs.com/blogs/prospect-reports-san-diego-padres/ in Fangraphs’ prospect rankings for this season, there’s nothing comical about his stuff that has seen him exceed a 25% strikeout rate at every stop of the minors except for 65 innings at high A (20.2%) to open last season. He also had a 12% walk rate at AAA this year and has never been able to cut it much below 9.5% at any level. This, along with a two pitch fastball/slider combo without a competent third pitch against LHBs has led some to believe his upside is a top of the bullpen arm. The lack of that third quality pitch could be an issue against a LH Mets lineup, but there’s occasionally some type of bonus for the unknown for debuting pitchers.

Mike Fiers owns the highest rate of Barrels on the slate (10.7% per BBE, 7.6% per PA). The Tigers have a 42.6 Hard% vs RHP.

Zach Davies

Nick Martinez

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%
Ariel Miranda Mariners L2 Years 20.8% 7.8% Road 17.4% 10.5% L14 Days 36.2% 10.6%
Bartolo Colon Braves L2 Years 15.9% 4.1% Home 20.9% 4.3% L14 Days 15.9% 4.6%
Daniel Wright Angels L2 Years 12.0% 6.0% Road 12.3% 4.1% L14 Days
Drew Pomeranz Red Sox L2 Years 26.8% 9.2% Home 27.6% 8.8% L14 Days 26.5% 14.7%
Eddie Butler Cubs L2 Years 14.6% 8.8% Home 15.8% 9.5% L14 Days 20.0% 20.0%
Gio Gonzalez Nationals L2 Years 22.1% 8.9% Home 24.0% 9.0% L14 Days 19.2% 11.5%
Ivan Nova Pirates L2 Years 16.8% 4.8% Road 17.9% 3.0% L14 Days 12.1% 1.7%
Jacob deGrom Mets L2 Years 27.2% 6.2% Home 30.5% 8.8% L14 Days 29.1% 7.3%
Jeff Samardzija Giants L2 Years 20.4% 5.8% Road 21.8% 5.5% L14 Days 28.1% 0.0%
Justin Verlander Tigers L2 Years 25.1% 6.9% Road 25.5% 8.5% L14 Days 21.4% 10.7%
Kenta Maeda Dodgers L2 Years 24.9% 6.7% Home 25.2% 6.9% L14 Days 16.7% 0.0%
Masahiro Tanaka Yankees L2 Years 20.7% 4.6% Home 22.4% 4.6% L14 Days 20.0% 11.4%
Matt Andriese Rays L2 Years 20.6% 6.1% Home 22.1% 5.7% L14 Days 21.3% 8.5%
Michael Wacha Cardinals L2 Years 20.7% 7.8% Road 18.7% 7.2% L14 Days 21.7% 13.0%
Miguel Almonte Royals L2 Years 24.4% 17.1% Road L14 Days
Mike Fiers Astros L2 Years 20.1% 7.2% Home 20.2% 5.5% L14 Days 20.4% 6.1%
Nick Martinez Rangers L2 Years 12.6% 8.4% Road 10.1% 9.5% L14 Days 10.9% 4.4%
Robbie Ray Diamondbacks L2 Years 26.1% 9.8% Road 30.5% 10.6% L14 Days 16.3% 12.2%
Tyler Anderson Rockies L2 Years 21.5% 6.4% Road 20.0% 6.7% L14 Days 31.3% 8.3%
Vince Velasquez Phillies L2 Years 26.2% 8.8% Home 31.5% 8.4% L14 Days 22.9% 10.4%
Zach Davies Brewers L2 Years 19.0% 7.0% Home 20.4% 5.9% L14 Days 10.6% 6.4%
Dinelson Lamet Padres L2 Years 0.0% 0.0% Road L14 Days

K/BB Chart – Opponent

Opponent Split K% BB% Split K% BB% Split K% BB%
Nationals Home 18.3% 9.8% LH 21.2% 8.5% L7Days 18.3% 6.4%
Pirates Road 19.7% 9.0% RH 18.2% 8.9% L7Days 16.1% 10.4%
Rays Home 25.6% 9.9% RH 26.8% 9.6% L7Days 29.8% 10.7%
Rangers Road 23.4% 8.0% LH 24.3% 7.6% L7Days 19.9% 7.1%
Giants Road 21.2% 7.8% RH 20.0% 7.0% L7Days 22.2% 6.8%
Mariners Road 21.0% 8.3% LH 17.7% 11.0% L7Days 18.6% 6.0%
Braves Home 20.6% 8.7% RH 20.6% 8.5% L7Days 23.3% 7.8%
Padres Road 25.2% 7.1% RH 24.4% 7.7% L7Days 19.8% 10.1%
Cubs Home 20.9% 10.3% RH 21.6% 9.2% L7Days 19.0% 9.0%
Astros Home 18.5% 7.9% RH 18.9% 8.0% L7Days 22.7% 7.2%
Cardinals Road 20.4% 8.1% RH 20.5% 9.0% L7Days 21.3% 7.7%
Royals Road 22.0% 6.5% RH 21.7% 6.7% L7Days 20.5% 6.0%
Angels Road 22.1% 9.5% RH 20.5% 9.0% L7Days 21.9% 14.6%
Dodgers Home 20.7% 9.7% RH 21.6% 10.1% L7Days 24.0% 10.5%
Yankees Home 24.2% 10.9% RH 22.8% 9.4% L7Days 29.0% 6.9%
Tigers Road 24.9% 10.1% RH 23.0% 10.5% L7Days 25.0% 11.1%
Red Sox Home 17.0% 9.2% RH 17.9% 9.1% L7Days 19.6% 10.8%
Brewers Home 25.8% 9.4% LH 25.2% 9.2% L7Days 20.6% 12.6%
Phillies Home 20.8% 9.6% LH 22.6% 8.4% L7Days 22.2% 4.9%
Rockies Road 23.3% 7.6% RH 21.9% 7.6% L7Days 19.1% 8.4%
Diamondbacks Road 26.1% 8.7% RH 23.2% 8.9% L7Days 20.1% 6.7%
Mets Home 19.4% 9.4% RH 19.2% 9.7% L7Days 20.4% 10.5%

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%
Ariel Miranda Mariners L2 Years 33.4% 14.0% 15.7% 2017 29.1% 14.3% 11.4% Road 31.6% 14.5% 13.2% L14 Days 16.0% 6.7% -8.0%
Bartolo Colon Braves L2 Years 33.0% 10.9% 15.5% 2017 36.4% 12.3% 16.4% Home 33.8% 11.3% 13.3% L14 Days 28.6% 0.0% 17.2%
Daniel Wright Angels L2 Years 35.0% 11.8% 18.3% 2017 22.0% 6.3% 7.4% Road 39.4% 16.7% 25.3% L14 Days
Drew Pomeranz Red Sox L2 Years 30.7% 13.8% 9.9% 2017 36.1% 17.1% 12.9% Home 33.6% 17.5% 14.3% L14 Days 45.0% 0.0% 35.0%
Eddie Butler Cubs L2 Years 34.0% 19.5% 18.2% 2017 29.2% 0.0% -4.1% Home 39.3% 26.9% 25.6% L14 Days 29.2% 0.0% -4.1%
Gio Gonzalez Nationals L2 Years 32.3% 10.9% 13.1% 2017 30.5% 16.9% 7.3% Home 31.5% 13.9% 13.8% L14 Days 33.3% 30.0% 22.2%
Ivan Nova Pirates L2 Years 33.0% 14.1% 15.0% 2017 30.5% 9.4% 14.7% Road 35.5% 15.6% 21.0% L14 Days 34.7% 22.2% 18.4%
Jacob deGrom Mets L2 Years 30.4% 11.0% 10.4% 2017 36.3% 15.9% 14.8% Home 29.3% 11.4% 7.2% L14 Days 38.2% 11.1% 17.6%
Jeff Samardzija Giants L2 Years 29.3% 11.8% 10.3% 2017 28.1% 13.5% 4.3% Road 29.6% 14.6% 10.9% L14 Days 30.0% 0.0% 15.0%
Justin Verlander Tigers L2 Years 27.9% 9.3% 9.2% 2017 36.3% 7.7% 21.6% Road 29.5% 10.6% 12.0% L14 Days 27.8% 15.0% 0.0%
Kenta Maeda Dodgers L2 Years 29.0% 13.0% 9.3% 2017 29.0% 17.0% 10.6% Home 27.5% 10.8% 8.3% L14 Days 24.0% 11.1% 0.0%
Masahiro Tanaka Yankees L2 Years 31.9% 16.1% 13.4% 2017 32.7% 24.5% 14.2% Home 35.0% 17.2% 18.9% L14 Days 56.5% 58.3% 39.1%
Matt Andriese Rays L2 Years 35.5% 12.4% 18.5% 2017 42.6% 18.8% 27.7% Home 38.1% 13.5% 22.4% L14 Days 48.4% 16.7% 35.5%
Michael Wacha Cardinals L2 Years 29.9% 11.9% 10.6% 2017 23.3% 10.5% 4.3% Road 26.1% 11.3% 7.7% L14 Days 20.0% 0.0% 0.0%
Miguel Almonte Royals L2 Years 26.1% 40.0% -8.7% 2017 Road L14 Days
Mike Fiers Astros L2 Years 33.1% 16.0% 14.7% 2017 31.5% 34.0% 12.3% Home 34.4% 17.1% 15.9% L14 Days 20.0% 18.8% -8.6%
Nick Martinez Rangers L2 Years 29.8% 16.3% 12.9% 2017 26.2% 15.2% 2.4% Road 29.3% 13.2% 10.9% L14 Days 31.6% 0.0% 15.8%
Robbie Ray Diamondbacks L2 Years 37.4% 12.5% 21.9% 2017 46.2% 14.6% 31.6% Road 36.4% 13.6% 19.9% L14 Days 32.4% 12.5% 8.9%
Tyler Anderson Rockies L2 Years 28.6% 16.4% 4.7% 2017 29.6% 25.6% 6.4% Road 29.2% 21.4% 7.7% L14 Days 17.9% 33.3% -3.5%
Vince Velasquez Phillies L2 Years 32.1% 13.8% 14.6% 2017 36.3% 21.4% 21.8% Home 33.6% 17.7% 17.2% L14 Days 43.8% 11.1% 31.3%
Zach Davies Brewers L2 Years 33.7% 12.8% 13.1% 2017 34.6% 15.1% 11.1% Home 35.6% 13.2% 17.8% L14 Days 29.7% 18.2% 2.7%
Dinelson Lamet Padres L2 Years 0.0% 0.0% 0.0% 2017 Road 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%
Nationals Home 33.2% 15.7% 16.8% LH 30.9% 19.6% 11.0% L7Days 30.5% 12.3% 8.5%
Pirates Road 29.2% 11.2% 7.9% RH 29.0% 9.6% 7.4% L7Days 27.7% 11.8% 2.9%
Rays Home 36.6% 15.2% 17.8% RH 36.6% 17.9% 18.8% L7Days 45.7% 20.0% 33.1%
Rangers Road 31.7% 14.0% 10.7% LH 30.7% 14.1% 10.5% L7Days 39.5% 12.1% 19.1%
Giants Road 31.0% 10.2% 10.5% RH 28.6% 10.2% 6.8% L7Days 34.2% 11.3% 8.0%
Mariners Road 29.6% 10.5% 11.5% LH 24.5% 5.7% 1.7% L7Days 27.3% 7.8% 6.0%
Braves Home 31.0% 13.2% 13.3% RH 30.6% 11.3% 12.2% L7Days 32.1% 15.3% 14.2%
Padres Road 30.7% 15.6% 9.3% RH 28.8% 14.3% 6.2% L7Days 27.5% 6.9% -2.0%
Cubs Home 30.5% 15.5% 13.7% RH 30.3% 12.7% 13.8% L7Days 37.4% 25.5% 24.5%
Astros Home 27.6% 16.1% 8.3% RH 31.0% 14.1% 12.6% L7Days 25.2% 15.5% 8.4%
Cardinals Road 32.8% 10.4% 16.2% RH 30.8% 12.1% 11.6% L7Days 34.3% 5.3% 17.9%
Royals Road 31.6% 13.9% 12.0% RH 31.9% 12.3% 12.1% L7Days 34.1% 18.2% 19.3%
Angels Road 32.0% 11.5% 13.7% RH 30.1% 13.1% 9.9% L7Days 38.6% 14.0% 24.8%
Dodgers Home 35.5% 15.7% 21.8% RH 35.0% 13.2% 20.3% L7Days 34.9% 20.5% 19.8%
Yankees Home 30.9% 22.2% 8.8% RH 31.0% 18.1% 11.1% L7Days 35.5% 15.2% 16.1%
Tigers Road 36.1% 12.6% 18.6% RH 42.6% 12.2% 26.7% L7Days 37.3% 13.6% 17.0%
Red Sox Home 37.1% 6.8% 18.3% RH 36.0% 9.6% 18.4% L7Days 26.4% 7.8% 10.8%
Brewers Home 38.7% 20.7% 18.2% LH 36.0% 19.2% 15.3% L7Days 27.1% 11.1% 0.7%
Phillies Home 30.9% 13.9% 9.1% LH 31.6% 17.0% 10.5% L7Days 30.9% 8.3% 9.8%
Rockies Road 31.2% 13.2% 11.0% RH 30.6% 13.4% 10.5% L7Days 27.0% 14.8% 6.2%
Diamondbacks Road 29.9% 14.5% 11.6% RH 38.6% 17.6% 23.7% L7Days 37.0% 21.6% 24.0%
Mets Home 32.1% 8.7% 12.3% RH 33.3% 11.6% 15.4% L7Days 37.7% 10.9% 23.1%

K/SwStr Chart (2017 LG AVG – 20.5 K% – 9.6 SwStr% – 2.14 K/SwStr)

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

Pitcher Team K% Season SwStr% Season K%/SwStr% K% L30 Days SwStr% L30 Days K%/SwStr%
Ariel Miranda SEA 22.9% 9.7% 2.36 25.9% 11.4% 2.27
Bartolo Colon ATL 15.7% 5.2% 3.02 13.0% 4.7% 2.77
Daniel Wright ANA 12.7% 9.1% 1.40 20.0% 7.8% 2.56
Drew Pomeranz BOS 26.6% 9.1% 2.92 24.3% 9.8% 2.48
Eddie Butler CHC 20.0% 8.6% 2.33 20.0% 8.6% 2.33
Gio Gonzalez WAS 19.3% 8.8% 2.19 18.8% 8.8% 2.14
Ivan Nova PIT 14.7% 7.4% 1.99 14.9% 8.5% 1.75
Jacob deGrom NYM 32.3% 15.3% 2.11 32.8% 13.4% 2.45
Jeff Samardzija SFO 28.5% 10.7% 2.66 29.3% 10.0% 2.93
Justin Verlander DET 22.6% 9.3% 2.43 22.9% 9.8% 2.34
Kenta Maeda LOS 24.5% 15.2% 1.61 26.9% 15.8% 1.70
Masahiro Tanaka NYY 17.8% 12.7% 1.40 16.5% 12.1% 1.36
Matt Andriese TAM 21.8% 9.9% 2.20 23.2% 9.9% 2.34
Michael Wacha STL 23.2% 10.1% 2.30 23.2% 8.4% 2.76
Miguel Almonte KAN
Mike Fiers HOU 19.6% 9.8% 2.00 19.8% 9.0% 2.20
Nick Martinez TEX 12.8% 6.4% 2.00 13.0% 6.2% 2.10
Robbie Ray ARI 28.9% 12.9% 2.24 28.2% 14.1% 2.00
Tyler Anderson COL 23.4% 12.0% 1.95 26.7% 12.6% 2.12
Vince Velasquez PHI 23.6% 10.2% 2.31 21.3% 10.8% 1.97
Zach Davies MIL 17.5% 6.9% 2.54 18.1% 6.3% 2.87
Dinelson Lamet SDG


Drew Pomeranz has a double digit SwStr% in three of his last five, but below 8% in two of his last three, so you can cherry pick that any way you want. We can’t expect a strikeout rate above 25% with a single digit SwStr% though.

Kenta Maeda has increased his SwStr% by 3.6 points from last year, yet his strikeout rate has dropped half a point, while his walk rate has dropped too. This is a tough one to figure out.

Michael Wacha has had a 10 SwStr% in each of his last two starts, making the monthly mark less of a concern.

ERA Estimators Chart (2017 LG AVG – 4.14 ERA – 4.20 SIERA – 4.15 xFIP – 4.23 FIP)

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

Pitcher Team Season
ERA
Season
SIERA
DIFF Season
xFIP
DIFF Season
FIP
DIFF Season
DRA
DIFF ERA
L30
SIERA
L30
DIFF xFIP
L30
DIFF FIP
L30
DIFF
Ariel Miranda SEA 4.28 4.07 -0.21 4.38 0.1 4.56 0.28 4.09 -0.19 4.23 4.01 -0.22 4.47 0.24 3.94 -0.29
Bartolo Colon ATL 6.38 4.63 -1.75 4.73 -1.65 4.57 -1.81 7.93 1.55 8.25 4.93 -3.32 5.09 -3.16 5.37 -2.88
Daniel Wright ANA 5.54 5.48 -0.06 5.68 0.14 4.57 -0.97 5.03 -0.51 11.25 3.7 -7.55 4.25 -7 5.78 -5.47
Drew Pomeranz BOS 4.97 3.81 -1.16 3.78 -1.19 4.32 -0.65 4.85 -0.12 5.24 4.19 -1.05 4.11 -1.13 4.6 -0.64
Eddie Butler CHC 2 5.97 3.97 5.06 3.06 3.92 1.92 5.41 3.41 2 5.97 3.97 5.06 3.06 3.92 1.92
Gio Gonzalez WAS 2.86 4.91 2.05 4.73 1.87 5.24 2.38 4.43 1.57 4.2 5.45 1.25 5.19 0.99 6.83 2.63
Ivan Nova PIT 2.63 3.94 1.31 3.63 1 3.21 0.58 4.94 2.31 3.12 3.84 0.72 3.55 0.43 3.29 0.17
Jacob deGrom NYM 3.56 3.21 -0.35 2.95 -0.61 3.23 -0.33 1.97 -1.59 4.35 3.18 -1.17 2.99 -1.36 3.65 -0.7
Jeff Samardzija SFO 4.57 2.97 -1.6 2.85 -1.72 2.89 -1.68 2.29 -2.28 2.7 2.63 -0.07 2.76 0.06 1.83 -0.87
Justin Verlander DET 4.39 4.61 0.22 5.02 0.63 4.01 -0.38 2.80 -1.59 3.27 4.68 1.41 5.24 1.97 3.82 0.55
Kenta Maeda LOS 5.03 3.64 -1.39 3.73 -1.3 4.33 -0.7 4.30 -0.73 2.21 3.18 0.97 2.91 0.7 2.2 -0.01
Masahiro Tanaka NYY 6.56 4.33 -2.23 4.43 -2.13 6.05 -0.51 4.86 -1.70 7 4.19 -2.81 4.25 -2.75 7.03 0.03
Matt Andriese TAM 3.75 4.16 0.41 4.05 0.3 4.74 0.99 3.98 0.23 3.68 4.13 0.45 4.12 0.44 4.26 0.58
Michael Wacha STL 2.74 3.85 1.11 3.65 0.91 3.34 0.6 3.23 0.49 3 3.68 0.68 3.27 0.27 2.74 -0.26
Miguel Almonte KAN
Mike Fiers HOU 5.14 4.45 -0.69 4.5 -0.64 7.72 2.58 7.46 2.32 5 4.52 -0.48 4.58 -0.42 7.85 2.85
Nick Martinez TEX 4.33 4.86 0.53 4.87 0.54 5.21 0.88 5.96 1.63 5.08 4.87 -0.21 4.94 -0.14 5.86 0.78
Robbie Ray ARI 3.91 4.01 0.1 3.83 -0.08 4 0.09 3.34 -0.57 4.3 4.01 -0.29 4.15 -0.15 4.06 -0.24
Tyler Anderson COL 6 3.87 -2.13 3.65 -2.35 5.1 -0.9 4.36 -1.64 5.08 3.46 -1.62 3.21 -1.87 4.69 -0.39
Vince Velasquez PHI 5.98 4.22 -1.76 4.13 -1.85 5.16 -0.82 5.34 4.19 -1.15 4.04 -1.3 4.64 -0.7
Zach Davies MIL 5.44 4.78 -0.66 4.82 -0.62 5.1 -0.34 6.72 1.28 3.38 4.58 1.2 4.67 1.29 5.25 1.87
Dinelson Lamet SDG


Drew Pomeranz has a BABIP 59 points higher than last year and 47 points higher than his career rate with an ordinary profile, but more line drives and contact in the zone along, while it fits with what his team has allowed. The 17.1 HR/FB is likely a product of harder contact and smaller sample, but he does have a 12.1 career HR/FB and was at league average (13.6 HR/FB) last year. If the strikeout rate dips, in a tough park, I’m not sure how much improvement to expect sans adjustments.

Kenta Maeda went from over-shooting his estimators to under-shooting them. Overall, his 66.1% strand rate is still quite low (nearly 10 points below last year), while the 17.0 HR/FB is a bit high.

BABIP & Statcast Chart (2017 LG AVG – .288 BABIP – 44.3 GB% – 20.3 LD% – 9.0 IFFB% – 86.6 Z-Contact%)

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

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

Pitcher Team Team BABIP Pitcher BABIP Diff GB% Pitcher LD% Pitcher IFFB% Pitcher Zcontact Exit
Velocity
Barrels
BBE
Barrels
PA
BBE
Ariel Miranda SEA 0.291 0.273 -0.018 39.7% 0.14 12.7% 87.3% 86.6 7.80% 5.40% 141
Bartolo Colon ATL 0.284 0.331 0.047 38.9% 0.21 12.3% 92.1% 89.6 8.50% 6.70% 165
Daniel Wright ANA 0.275 0.325 0.05 39.0% 0.22 12.5% 83.3% 86.3 2.40% 1.80% 41
Drew Pomeranz BOS 0.308 0.327 0.019 38.7% 0.226 9.8% 87.3% 88.9 9.30% 5.90% 108
Eddie Butler CHC 0.297 0.208 -0.089 56.5% 0.174 33.3% 80.5% 83 4.20% 2.50% 24
Gio Gonzalez WAS 0.294 0.260 -0.034 45.6% 0.171 6.8% 87.5% 85.6 7.30% 5.00% 164
Ivan Nova PIT 0.308 0.283 -0.025 51.3% 0.215 7.5% 92.5% 88.1 5.90% 4.90% 203
Jacob deGrom NYM 0.320 0.336 0.016 43.7% 0.237 9.1% 74.4% 87.8 5.20% 3.00% 135
Jeff Samardzija SFO 0.304 0.331 0.027 39.1% 0.286 9.6% 83.8% 86.2 6.70% 4.40% 164
Justin Verlander DET 0.299 0.278 -0.021 29.9% 0.204 9.0% 84.4% 88.4 9.60% 6.30% 157
Kenta Maeda LOS 0.296 0.274 -0.022 35.8% 0.211 6.4% 81.1% 83.7 5.30% 3.70% 114
Masahiro Tanaka NYY 0.282 0.329 0.047 49.7% 0.174 15.1% 87.6% 89.4 11.10% 8.20% 162
Matt Andriese TAM 0.271 0.273 0.002 47.3% 0.199 10.4% 84.2% 89 7.40% 5.10% 148
Michael Wacha STL 0.282 0.295 0.013 42.9% 0.232 2.6% 84.3% 83.1 5.20% 3.60% 116
Miguel Almonte KAN 0.296
Mike Fiers HOU 0.275 0.235 -0.04 48.1% 0.132 8.0% 85.7% 86.9 10.70% 7.60% 131
Nick Martinez TEX 0.284 0.261 -0.023 44.6% 0.174 13.0% 89.1% 86 9.00% 7.40% 122
Robbie Ray ARI 0.284 0.276 -0.008 40.5% 0.214 12.5% 81.3% 89.7 8.50% 4.90% 130
Tyler Anderson COL 0.282 0.313 0.031 42.3% 0.263 11.6% 82.1% 83.5 8.50% 5.70% 142
Vince Velasquez PHI 0.293 0.287 -0.006 43.5% 0.226 11.9% 84.4% 89.2 8.10% 5.20% 124
Zach Davies MIL 0.316 0.345 0.029 40.7% 0.24 13.2% 90.6% 86.5 7.20% 5.20% 153
Dinelson Lamet SDG 0.301


Jacob deGrom has a high BABIP that is largely a combination of an increased LD rate and terrible defense, but the LD has always run a bit high, which may be a surprise.

Pitcher Notes & Summary

Article Image

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

Jacob deGrom (1) is the top pitcher on the slate with the most upside by a wide margin and has the top matchup. Weather is our concern here. Aside from ownership considerations (which will likely be through the roof), we may need for Kevin to issue some red to consider fading him. Perhaps a less confidence inspiring, but potentially playable forecast could reduce ownership.

Value Tier Two

Kenta Maeda (2) is trending positively in just about every category (innings, contact), while his SwStr% has been dominant all season. He still costs less than $9K against an average offense in a great park. If deGrom appears to have weather related issues, this is where most ownership should fall. If it doesn’t look that way, there’s opportunity here for players.

Drew Pomeranz has been a flawed pitcher who is not even a lock for five innings this year and we can’t just look at an identical K-BB% to last season and assume everything is going to be okay. The Rangers have struggled against LHP though, and it’s just a five game slate. The good news is that the cost is now down below $8K and we seem to be looking at temperatures in the low 50s with a decent wind blowing in, likely pitching favorable conditions at Fenway tonight.

Value Tier Three

Robbie Ray may come close to deGrom in strikeout rate projection tonight, but the risk is significantly higher against a high powered, predominantly RH offense. Players who can correctly predict how this matchup goes are likely to be among the winners tonight.

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.

Justin Verlander is the second most expensive pitcher on either site, but at least still below $10K. The flaws have been obvious in higher rates of walks and hard contact and he’s not in a great spot in Houston tonight. The positives are that he’s still consistently giving you six to seven innings per start and the SwStr% has begun to tick up, which could mean good things for his strikeout rate going forward.

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.