Advanced Stats – Pitching: Friday, July 7th

The immediate thought when first glancing at this board as a whole is that just about every pitcher has been either an All-Star or a big time prospect (or both) at some point, even if many of them are far removed from that point now. Still, it seems difficult work to find reasons not to use many of them today because you can only consider so many arms on any given slate. The few top guys are easy, but then it’s the considerable depth on this slate that makes it so interesting. It may be even more interesting from an offensive aspect because there are only really a few arms you’d really want to attack.

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+
Aaron Sanchez TOR -2.8 4.02 6.17 54.2% 1.03 4.04 HOU 130 128 164
Carlos Carrasco CLE -1.1 3.27 6. 48.8% 1.09 3.7 3.57 DET 85 97 103
Carlos Martinez STL -4.3 3.79 6.26 54.0% 0.98 3.66 4.76 NYM 116 104 95
Charlie Morton HOU -4.7 3.83 5.45 54.1% 1.03 3.2 TOR 89 91 87
Clayton Richard SDG -6.8 4.16 6. 60.5% 0.96 4.3 5.67 PHI 92 81 69
Cole Hamels TEX 4.3 4.03 6.35 48.7% 1.11 4.32 4.87 ANA 83 85 78
Dan Straily MIA 3.1 4.49 5.76 34.2% 0.93 4.66 4.67 SFO 75 80 83
Derek Holland CHW 0.6 4.83 5.56 39.4% 1.39 5.43 3.95 COL 79 83 61
Drew Pomeranz BOS 6.3 3.66 5.43 44.3% 0.96 3.9 3.63 TAM 115 91 105
Eddie Butler CHC 4.7 5.06 4.92 46.1% 0.96 4.67 5.42 PIT 85 90 77
Felix Jorge MIN 1.7 6.26 5. 27.8% 1.04 6.26 BAL 88 91 59
German Marquez COL -3.7 4.55 5.26 43.4% 1.39 4.38 5.43 CHW 95 87 117
Jacob deGrom NYM -0.8 3.38 6.24 46.0% 0.98 3.43 2.45 STL 100 97 97
Jake Odorizzi TAM -1.3 4.26 5.61 35.2% 0.96 4.36 4.88 BOS 100 95 120
James Paxton SEA 7 3.71 5.67 46.3% 0.89 3.5 4.29 OAK 88 79 86
Jason Hammel KAN 5.8 4.35 5.3 39.4% 0.89 4.95 4.78 LOS 122 108 136
Jordan Montgomery NYY 2.4 4.22 5.8 41.3% 1.01 4.17 3.67 MIL 100 96 107
Jordan Zimmermann DET 2.5 4.48 5.78 40.0% 1.09 4.94 4.55 CLE 102 104 117
Junior Guerra MIL -0.6 4.8 5.76 42.2% 1.01 4.8 5.58 NYY 122 119 96
Kenta Maeda LOS 2.2 3.77 5.4 42.0% 0.89 3.78 4.08 KAN 87 85 127
Kevin Gausman BAL -3.5 4.11 5.73 43.4% 1.04 4.35 3.69 MIN 100 99 101
Matt Moore SFO -1.8 4.61 5.76 38.2% 0.93 4.48 6.05 MIA 100 98 119
Max Scherzer WAS 0.2 2.86 6.75 35.2% 1.01 3.01 2.5 ATL 91 89 68
Nick Pivetta PHI 4.1 4.76 5.2 38.5% 0.96 2.72 7.06 SDG 73 84 66
R.A. Dickey ATL -0.6 4.83 6.12 0.437 1.01 5.05 4.48 WAS 119 112 99
Ricky Nolasco ANA 2.1 4.4 6. 0.425 1.11 4.54 3.82 TEX 101 97 120
Sean Manaea OAK -13.5 4.03 5.79 0.457 0.89 3.83 4.73 SEA 110 98 94
Tim Adleman CIN 7.5 4.71 5.34 0.373 1.13 5.02 3.89 ARI 111 106 71
Trevor Williams PIT -4 4.51 5.27 0.451 0.96 4.23 3.29 CHC 100 88 94
Zack Greinke ARI -6.2 3.57 6.47 0.472 1.13 3.78 3.35 CIN 97 101 104


Carlos Carrasco has been pitching well, aside from one eight run beating where he still struck out seven of 18 batters. He’s allowed two runs or less in four of his last five starts otherwise with at least seven Ks in four straight. His 19.9 K-BB% is 14th among qualifiers. The concern today is his 8.7% Barrels/BBE against an offense with a 26.7 Hard-Soft% vs RHP, though that hasn’t turned into a lot of HRs.

Dan Straily has one of the top overall matchups tonight from a run prevention standpoint and San Francisco is a great park for him to pitch in. While they don’t strike out a lot, they don’t walk and hit for no power in that park (6.1 HR/FB, 3.8 Hard-Soft%). They are also a bottom five offense vs fly ball pitchers (88 sOPS+). That matches up well with strong contact management skills (26.5% 95+ mph EV). The confusing thing is his strikeout rate. He’s had eight or more in four starts, but five or fewer in 11 of 17 too. In just his last six starts, he’s been below a 9% SwStr rate three times and above 13% three times.

Drew Pomeranz has seen a drop in strikeout rate over the last month, exceeding five in just one of his last five starts. However, he’s allowed more than two runs in just three of 16 starts this year. His 18.2 K-BB% is a top 20 mark among those with at least 80 innings pitched and while his marginal contact management skills could come back and bite him against an offense with a 38.2 Hard% and 16.2 HR/FB at home, they’ve posed less of a danger to LHPs, including a ridiculous 27 K% against them.

Jacob deGrom is well rested after a rain out followed by an off-day. In four starts since his beating in Texas, he’s gone at least seven innings in each with a 19.7 K-BB% and 51.3 GB%. It’s interesting that Fangraphs says he’s allowed a lot of hard contact (35.6%), but his Statcast rates are more optimistic (29.6% 95+ mph EV). Interestingly, it’s been an increase in changeups that’s led to the switch to longer outings, but fewer strikeouts. A decrease (9.9%) in his last outing ended with 12 Ks. Whichever version we see here should be acceptable. The Cardinals have been hitting the ball hard recently (41.7 Hard% last seven days), but are about as neutral as an offense can get.

James Paxton had struck out 17 of 52 batters entering his last start in which he accumulated just three against the Angels. They don’t strike out a lot against LHP though and the overall results were fine. It was actually the first time he’d allowed fewer than three runs in six starts. He still has a strong 25.6 K% for the season and has managed contact well in a big park (2.5% Barrels/BBE, 27.5% 95+ mph EV). He also has one of the top matchups on the board as Oakland has been poor on the road (26.1 K%) and even worse vs LHP (25.7 K%, 9.9 HR/FB).

Jordan Montgomery has missed bats at a higher rate than anyone’s expected this year. His 13.5 SwStr% is higher than teammates Pineda and Severino. He just hasn’t been able to turn them into a ton of strikeouts. A 15.2 K-BB% for a rookie pitcher is nothing to scoff at though. Part of his charm was an ability to keep the ball in the park earlier in the season, but he’s allowed seven HRs over his last five starts. Overall contact management has been about league average though. He’s in a neutral spot at home against a high powered Milwaukee offense (18.8 HR/FB on the road, 16.6 HR/FB vs LHP, 20 HR/FB last seven days), but also one that strikes out a ton (26.1% vs LHP).

Kenta Maeda lasted just 3.2 innings in his last start, but that was performance related as he went seven shutout innings in the previous one with six strikeouts. We’ll have to treat him as a 90 pitch pitcher today with strong peripherals (17.4 K-BB%) and a 13.6 SwStr% that might even suggest better. His contact management has been excellent as well (83.8 mph aEV, 3.8% Barrels/BBE, 25.8% 95+ mph EV), which makes the high ERA difficult to explain and comforting that it’s been on the decline. He’s got a nice matchup hosting a Kansas City offense that has shown a bit more power recently (17.4 HR/FB last seven days), but loses a DH.

Max Scherzer is the top dog by far today. His 29.9 K-BB% and 16.2 SwStr% are first in the National League. He has more starts with double digit strikeouts than without this year, although Atlanta accounts for two of the seven without. He hasn’t struck out fewer than six in a start this year and fewer than six innings just once. That’s an enormous floor. The Braves are the second worst offense against fly ball pitchers (80 sOPS+).

Sean Manaea has the third highest SwStr% on the board and best among AL pitchers today. When you trail only Scherzer and deGrom, that’s pretty good. Contact management has been interesting as he’s allowed a high aEV (88.8 mph) and 40.2% 95+ mph EV, but just 4.8% Barrels/BBE, which is probably part launch angle and probably part park assisted. He’s in another favorable park tonight, though the Mariners have strong plate discipline against LHPs (9.2 K-BB%), lacking much power (10.1 HR/FB).

Zack Greinke struck out eight Rockies, but has seen his strikeout rate and more significantly, his SwStr% drop over the last month. The good news is that his slider is still getting whiffs because if that ability goes along with his reduced velocity, he could be in trouble. Despite a 35.7 Hard%, just 28% of his contact has been above a 95 mph exit velocity. The Reds are a neutral offense with some power that’s a difficult matchup in Arizona.

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)

Carlos Martinez (.263 – 76.4% – 13.2) is one of a couple of very difficult omissions today, but the line needs to be drawn somewhere. Strikeouts (27%) are not the issue and neither are ground balls (50%). Walks (9.3%) might be. He’s had at least three of those in three of his last four, in which he hasn’t gone past six innings. The Mets don’t strike out much and have been a good road offense. The Mets are also a top seven team against ground ball pitchers (116 sOPS+). We should also mention that his BABIP is 39 points below his career rate and 34 below his team’s defense, perhaps assisting his ERA by nearly half a run. The 17.3 LD% is the lowest of his career, but he has generally run low line drive rates (19% career) without much BABIP benefit.

Cole Hamels (.229 – 69.4% – 11.6) is coming off his best start of the season (6.2 IP – 2 ER – 1 HR – 0 BB – 6 K – 23 BF), so perhaps there’s some component of health involved. He entered that game with 16 walks and strikeouts. His walk rate (8.9%) was actually higher last year (9.1%) when he was supposedly healthy. He has managed contact well (3.7% Barrels/BBE) and is in a nice spot against the Angels, even at home. He could be sneaky at a discounted cost on DraftKings, but regular readers may recall how little confidence I have in his consistency.

Jake Odorizzi (.245 – 75.2% – 17.8) is in a low strikeout spot against the Red Sox and has been incredibly reliant on a BABIP 30 points below his career rate. While he’s been an extreme fly ball pitcher, his BABIP profile has not been all that impressive.

Junior Guerra (.258 – 83.1% – 20)

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

Kevin Gausman has struck out 22 of his last 70 batters and has not allowed a run in his last two starts. See what I mean about it being difficult to exclude pitchers today? He’s stopped throwing his slider and started throwing more splitters. A prominent reverse platoon for his career, RHBs have just a .131 wOBA over his last three starts (27.5 K-BB%, 0.0 Hard-Soft%). I’m not sure what to do with him today. He’s sneaky, but he’s not all that cheap in a slightly worse than neutral spot in Minnesota.

Charlie Morton has been out since the end of May with a lat issue. He threw 10.1 innings in three rehab starts, maxing out at just 17 batters faced in his more recent at AA. A potential workload issue makes his omission a bit easier. Toronto is the fourth best offense with a 118 sOPS+ against ground ball pitchers as well.

R.A. Dickey has managed contact well (85.1 mph aEV, 27% 95+ mph EV) and increased his strikeouts over the last month (24% with an 11.6 SwStr%). He’s allowed just two ERs over his last 20 IP, but is in a difficult spot in Washington tonight. Knuckleballs can be tricky in difficult weather too. This is the pitcher for whom weather and BvP data may be the most significant.

Ricky Nolasco has thrown 15.1 shutout innings, striking out 12 of 56 batters with two walks. He had allowed multiple HRs in 10 of his first 15 starts. There was really no significant change to his pitch mix over both starts. His 89.5 mph aEV and 10.0% Barrels/BBE are second worst on the board. Each of his last two starts were in pitchers’ parks. He’s facing a more neutral offense in Texas, but in a terrible park.

Felix Jorge was the 21st graded prospect (40 future value) by Fangraphs for this year. His strikeout rate had been above average throughout the low minors, but dropped to 10.7% at AA last season. He made some improvement to 17.2% in 14 starts this season and then skipped AAA to make his major league debut last week, striking out just two of 21 with a 27.8 GB%. The one thing he did do at AA was generate grounders at a 50% clip. It’s possible his velocity has ticked up from a pre-season report that had him at 88-92. He averaged 92.3 in his first start, but that could have been adrenaline too. Baltimore is up to an 18.4 K-BB% on the road, 16.5% vs RHP and 19.6% over the last week.

Derek Holland has 11 unearned runs against him, so it could be even worse. This is a rare case of it being more about the pitcher than the park at Coors. The Rockies just aren’t that good.

Jason Hammel

Tim Adleman has allowed 11 HRs over his last seven starts. A trip to Arizona is unlikely to help matters much, which is a shame because he has shown an ability to miss bats.

German Marquez

Jordan Zimmermann

Matt Moore has a 3.77 ERA at home, but has allowed nine ERs over his last two home starts and has estimators above 4.5 in that park this year. He’s allowed the loudest contact on the board today and while a great park can mute some of that, there’s not a park on the planet where he can consistently get away with that.

K/BB Chart

Pitcher and Opponent K% & BB% for titled splits, similar to the Main Chart.

Pitcher Team Split K% BB% Split K% BB% Split K% BB%
Aaron Sanchez Blue Jays L2 Years 20.0% 8.0% Home 19.5% 8.9% L14 Days
Carlos Carrasco Indians L2 Years 27.2% 6.2% Home 23.5% 7.2% L14 Days 30.4% 8.7%
Carlos Martinez Cardinals L2 Years 23.6% 8.4% Home 22.0% 6.6% L14 Days 22.7% 12.0%
Charlie Morton Astros L2 Years 22.4% 8.7% Road 28.6% 10.2% L14 Days
Clayton Richard Padres L2 Years 14.6% 7.5% Road 13.4% 8.8% L14 Days 12.0% 12.0%
Cole Hamels Rangers L2 Years 22.1% 8.3% Home 21.1% 8.9% L14 Days 14.6% 8.3%
Dan Straily Marlins L2 Years 21.4% 8.7% Road 22.0% 7.7% L14 Days 17.8% 4.4%
Derek Holland White Sox L2 Years 16.9% 8.1% Road 15.4% 8.8% L14 Days 25.5% 8.5%
Drew Pomeranz Red Sox L2 Years 26.6% 8.3% Road 24.7% 9.0% L14 Days 23.3% 4.7%
Eddie Butler Cubs L2 Years 14.7% 9.3% Home 15.6% 9.2% L14 Days 8.1% 8.1%
Felix Jorge Twins L2 Years 9.5% 4.8% Home L14 Days 9.5% 4.8%
German Marquez Rockies L2 Years 19.1% 7.9% Home 17.1% 6.6% L14 Days 17.8% 11.1%
Jacob deGrom Mets L2 Years 27.1% 6.7% Road 21.8% 5.0% L14 Days 35.2% 3.7%
Jake Odorizzi Rays L2 Years 21.4% 7.5% Home 22.4% 7.2% L14 Days 17.4% 6.5%
James Paxton Mariners L2 Years 24.3% 6.7% Home 25.0% 6.8% L14 Days 24.5% 10.2%
Jason Hammel Royals L2 Years 20.2% 7.4% Road 18.9% 7.0% L14 Days 21.2% 9.6%
Jordan Montgomery Yankees L2 Years 22.9% 7.7% Home 26.4% 7.2% L14 Days 24.5% 4.1%
Jordan Zimmermann Tigers L2 Years 17.6% 6.0% Road 16.1% 7.1% L14 Days 22.7% 9.1%
Junior Guerra Brewers L2 Years 19.4% 10.1% Road 19.4% 10.3% L14 Days 19.6% 13.0%
Kenta Maeda Dodgers L2 Years 24.6% 6.8% Home 25.3% 6.4% L14 Days 17.4% 2.2%
Kevin Gausman Orioles L2 Years 21.3% 7.1% Road 20.6% 7.8% L14 Days 28.9% 8.9%
Matt Moore Giants L2 Years 19.7% 8.8% Home 21.5% 7.2% L14 Days 19.2% 17.3%
Max Scherzer Nationals L2 Years 32.3% 5.6% Home 34.0% 5.5% L14 Days 38.3% 4.3%
Nick Pivetta Phillies L2 Years 23.5% 12.4% Home 33.8% 4.1% L14 Days 16.3% 20.9%
R.A. Dickey Braves L2 Years 15.9% 7.7% Road 15.9% 9.6% L14 Days 19.2% 7.7%
Ricky Nolasco Angels L2 Years 18.5% 5.9% Road 18.7% 6.6% L14 Days 21.4% 3.6%
Sean Manaea Athletics L2 Years 22.5% 7.4% Road 22.8% 6.4% L14 Days 16.4% 9.1%
Tim Adleman Reds L2 Years 19.4% 8.4% Road 16.5% 7.4% L14 Days 27.3% 9.1%
Trevor Williams Pirates L2 Years 17.2% 6.4% Road 18.7% 6.6% L14 Days 20.8% 2.1%
Zack Greinke Diamondbacks L2 Years 24.0% 5.5% Home 23.5% 6.4% L14 Days 28.9% 6.7%

K/BB Chart – Opponent

Opponent Split K% BB% Split K% BB% Split K% BB%
Astros Road 17.8% 8.8% RH 17.4% 7.9% L7Days 15.9% 6.1%
Tigers Road 24.3% 9.4% RH 22.4% 9.5% L7Days 17.0% 8.5%
Mets Road 20.0% 9.2% RH 19.0% 9.4% L7Days 17.9% 9.8%
Blue Jays Home 20.6% 8.1% RH 20.7% 7.9% L7Days 23.0% 8.8%
Phillies Home 21.9% 8.5% LH 21.2% 8.2% L7Days 26.3% 6.4%
Angels Road 21.3% 8.8% LH 19.9% 8.6% L7Days 15.0% 6.8%
Giants Home 19.7% 6.6% RH 19.6% 7.5% L7Days 19.2% 6.8%
Rockies Home 22.2% 7.1% LH 24.3% 7.0% L7Days 27.5% 5.2%
Rays Home 24.8% 9.7% LH 27.0% 9.9% L7Days 25.9% 7.1%
Pirates Road 19.6% 8.4% RH 18.9% 8.3% L7Days 20.9% 8.8%
Orioles Road 24.6% 6.2% RH 22.9% 6.4% L7Days 23.4% 4.0%
White Sox Road 22.0% 5.9% RH 22.6% 6.6% L7Days 22.3% 8.5%
Cardinals Home 21.4% 9.8% RH 21.3% 8.8% L7Days 24.3% 10.5%
Red Sox Road 18.8% 9.1% RH 18.5% 9.0% L7Days 17.1% 12.3%
Athletics Road 26.1% 8.7% LH 25.7% 7.8% L7Days 28.1% 13.0%
Dodgers Home 22.9% 11.0% RH 23.2% 10.9% L7Days 26.4% 12.8%
Brewers Road 23.7% 9.0% LH 26.1% 8.4% L7Days 24.3% 10.0%
Indians Home 19.0% 9.4% RH 19.7% 9.1% L7Days 20.1% 8.1%
Yankees Home 23.1% 10.7% RH 22.4% 9.8% L7Days 26.2% 12.2%
Royals Road 21.5% 6.3% RH 20.9% 6.3% L7Days 19.4% 5.9%
Twins Home 21.4% 10.4% RH 22.1% 9.6% L7Days 19.6% 10.1%
Marlins Road 20.9% 6.3% LH 20.2% 7.9% L7Days 22.0% 7.9%
Braves Road 19.7% 7.3% RH 19.6% 7.3% L7Days 21.3% 6.1%
Padres Road 26.9% 7.2% RH 25.8% 7.6% L7Days 30.7% 5.7%
Nationals Home 19.2% 9.3% RH 19.2% 9.5% L7Days 19.3% 11.8%
Rangers Home 22.3% 9.3% RH 24.3% 8.8% L7Days 24.4% 10.0%
Mariners Home 20.6% 9.3% LH 18.8% 9.6% L7Days 17.1% 5.8%
Diamondbacks Home 22.3% 9.1% RH 22.5% 9.0% L7Days 29.5% 7.4%
Cubs Home 21.2% 10.2% RH 22.7% 9.0% L7Days 22.1% 8.6%
Reds Road 19.7% 7.5% RH 20.7% 8.6% L7Days 19.1% 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%
Aaron Sanchez Blue Jays L2 Years 28.5% 11.0% 8.0% 2017 30.7% 14.3% 8.0% Home 33.3% 15.1% 16.1% L14 Days
Carlos Carrasco Indians L2 Years 31.2% 15.6% 13.8% 2017 29.4% 14.1% 10.3% Home 37.4% 22.3% 23.3% L14 Days 25.9% 23.1% 0.0%
Carlos Martinez Cardinals L2 Years 30.8% 10.3% 11.4% 2017 33.7% 13.2% 14.9% Home 28.3% 13.3% 8.6% L14 Days 39.6% 22.2% 31.3%
Charlie Morton Astros L2 Years 33.6% 15.9% 16.3% 2017 37.6% 18.4% 21.7% Road 34.5% 16.7% 17.3% L14 Days
Clayton Richard Padres L2 Years 29.0% 15.9% 9.3% 2017 32.7% 19.4% 15.3% Road 28.1% 21.2% 8.2% L14 Days 51.4% 30.0% 37.9%
Cole Hamels Rangers L2 Years 31.3% 13.1% 12.4% 2017 36.0% 11.6% 22.8% Home 34.9% 15.0% 16.4% L14 Days 36.1% 9.1% 25.0%
Dan Straily Marlins L2 Years 32.6% 11.5% 15.4% 2017 34.2% 11.2% 12.8% Road 31.6% 15.1% 13.4% L14 Days 34.3% 16.7% 11.4%
Derek Holland White Sox L2 Years 35.1% 13.7% 17.5% 2017 39.2% 16.3% 17.9% Road 36.5% 15.0% 16.3% L14 Days 40.0% 11.1% 13.3%
Drew Pomeranz Red Sox L2 Years 31.2% 13.5% 10.5% 2017 31.5% 13.8% 7.5% Road 29.8% 10.5% 6.5% L14 Days 25.8% 0.0% 6.4%
Eddie Butler Cubs L2 Years 36.1% 15.7% 20.7% 2017 31.3% 6.3% 11.3% Home 35.4% 16.7% 20.8% L14 Days 26.7% 0.0% 3.4%
Felix Jorge Twins L2 Years 33.3% 10.0% 27.7% 2017 33.3% 10.0% 27.7% Home L14 Days 33.3% 10.0% 27.7%
German Marquez Rockies L2 Years 35.0% 9.7% 20.7% 2017 36.8% 8.5% 22.2% Home 30.6% 10.8% 16.4% L14 Days 45.2% 6.7% 25.8%
Jacob deGrom Mets L2 Years 31.3% 13.1% 11.2% 2017 35.6% 16.7% 14.2% Road 34.8% 15.5% 17.3% L14 Days 39.4% 11.1% 21.2%
Jake Odorizzi Rays L2 Years 32.6% 13.1% 15.1% 2017 36.1% 17.8% 21.4% Home 35.7% 13.4% 18.1% L14 Days 50.0% 21.4% 35.3%
James Paxton Mariners L2 Years 32.2% 8.2% 17.1% 2017 31.0% 7.6% 14.5% Home 30.5% 8.4% 15.8% L14 Days 28.1% 9.1% 9.3%
Jason Hammel Royals L2 Years 32.8% 12.9% 15.1% 2017 28.6% 9.5% 11.4% Road 33.6% 14.6% 16.2% L14 Days 25.0% 13.3% 13.9%
Jordan Montgomery Yankees L2 Years 27.6% 11.4% 12.4% 2017 27.6% 11.4% 12.4% Home 31.8% 11.8% 16.3% L14 Days 31.4% 18.8% 5.7%
Jordan Zimmermann Tigers L2 Years 32.2% 14.7% 14.3% 2017 38.9% 16.4% 24.6% Road 27.9% 12.9% 10.1% L14 Days 37.9% 23.1% 20.7%
Junior Guerra Brewers L2 Years 33.5% 12.2% 13.3% 2017 32.9% 20.0% 12.2% Road 32.3% 12.9% 11.8% L14 Days 48.3% 35.7% 31.1%
Kenta Maeda Dodgers L2 Years 28.5% 12.4% 8.1% 2017 27.3% 13.4% 6.2% Home 26.5% 10.2% 6.9% L14 Days 36.1% 8.3% 19.4%
Kevin Gausman Orioles L2 Years 30.6% 14.7% 11.1% 2017 32.6% 13.0% 14.0% Road 33.0% 16.6% 15.9% L14 Days 14.3% 0.0% -21.4%
Matt Moore Giants L2 Years 33.3% 10.8% 16.3% 2017 39.4% 10.8% 22.7% Home 33.9% 10.3% 17.2% L14 Days 43.8% 14.3% 18.8%
Max Scherzer Nationals L2 Years 29.4% 12.5% 8.4% 2017 26.5% 9.8% 5.3% Home 25.7% 9.9% 4.6% L14 Days 34.6% 0.0% 0.0%
Nick Pivetta Phillies L2 Years 35.4% 15.8% 23.6% 2017 35.4% 15.8% 23.6% Home 44.4% 29.4% 35.5% L14 Days 29.6% 15.4% 18.5%
R.A. Dickey Braves L2 Years 27.1% 12.1% 4.5% 2017 28.6% 14.3% 3.8% Road 30.3% 13.1% 7.2% L14 Days 31.6% 0.0% 21.1%
Ricky Nolasco Angels L2 Years 35.1% 14.2% 21.0% 2017 37.5% 18.9% 23.6% Road 39.1% 15.8% 26.9% L14 Days 29.3% 0.0% 14.7%
Sean Manaea Athletics L2 Years 34.0% 12.7% 16.4% 2017 34.9% 10.8% 18.7% Road 35.2% 15.3% 15.4% L14 Days 25.0% 10.0% 10.0%
Tim Adleman Reds L2 Years 33.9% 16.1% 18.6% 2017 32.6% 18.4% 16.1% Road 33.3% 12.9% 19.1% L14 Days 40.7% 50.0% 22.2%
Trevor Williams Pirates L2 Years 30.6% 12.5% 7.3% 2017 30.5% 9.3% 6.2% Road 27.6% 21.1% 4.0% L14 Days 33.3% 0.0% 13.9%
Zack Greinke Diamondbacks L2 Years 31.0% 12.8% 9.8% 2017 35.7% 15.0% 13.3% Home 37.7% 13.5% 17.4% L14 Days 41.4% 10.0% 6.9%

Batted Ball Charts – Opponent

Opponent Split Hard% HR/FB% Hd-St% Split Hard% HR/FB% Hd-St% Split Hard% HR/FB% Hd-St%
Astros Road 33.4% 15.1% 15.1% RH 33.4% 15.7% 16.0% L7Days 36.6% 14.3% 15.1%
Tigers Road 36.4% 12.5% 18.9% RH 42.0% 12.3% 26.7% L7Days 38.4% 10.2% 23.2%
Mets Road 37.3% 16.2% 19.8% RH 35.6% 13.3% 18.4% L7Days 36.0% 12.5% 20.0%
Blue Jays Home 29.8% 13.7% 10.0% RH 31.2% 14.7% 11.2% L7Days 29.7% 10.0% 6.6%
Phillies Home 30.5% 13.2% 10.2% LH 29.3% 14.9% 9.4% L7Days 32.3% 8.9% 11.3%
Angels Road 32.9% 11.3% 13.8% LH 31.1% 8.6% 13.6% L7Days 34.8% 13.0% 18.0%
Giants Home 25.4% 6.1% 3.8% RH 28.7% 9.2% 6.8% L7Days 36.3% 9.2% 16.1%
Rockies Home 30.6% 15.3% 11.0% LH 31.1% 14.9% 9.9% L7Days 32.5% 13.5% 15.6%
Rays Home 38.2% 16.6% 20.2% LH 34.9% 12.9% 13.6% L7Days 31.3% 18.9% 14.0%
Pirates Road 30.6% 12.0% 10.0% RH 30.6% 10.6% 9.4% L7Days 36.0% 8.3% 17.5%
Orioles Road 34.4% 12.8% 14.6% RH 31.0% 14.9% 9.9% L7Days 30.9% 10.8% 6.6%
White Sox Road 32.0% 14.6% 15.0% RH 30.6% 13.3% 11.7% L7Days 27.0% 19.2% 8.6%
Cardinals Home 32.1% 11.4% 12.7% RH 31.9% 13.6% 12.9% L7Days 41.5% 12.5% 27.5%
Red Sox Road 32.9% 11.6% 13.0% RH 35.2% 10.9% 17.3% L7Days 30.2% 9.1% 9.5%
Athletics Road 36.0% 12.8% 16.9% LH 31.7% 9.9% 14.6% L7Days 28.3% 13.7% 14.5%
Dodgers Home 35.9% 17.7% 20.4% RH 34.5% 15.4% 18.9% L7Days 32.4% 19.6% 12.0%
Brewers Road 30.9% 18.8% 11.9% LH 35.9% 16.6% 15.4% L7Days 40.8% 20.0% 26.0%
Indians Home 30.7% 12.2% 13.3% RH 33.6% 12.0% 17.0% L7Days 36.5% 13.8% 14.9%
Yankees Home 30.9% 19.9% 10.0% RH 32.0% 17.2% 13.1% L7Days 27.9% 11.8% 10.0%
Royals Road 32.1% 15.3% 12.1% RH 32.3% 12.5% 12.7% L7Days 29.7% 17.4% 7.9%
Twins Home 34.2% 11.9% 17.9% RH 33.0% 13.4% 16.6% L7Days 26.5% 6.7% 6.4%
Marlins Road 29.7% 14.3% 9.5% LH 28.9% 16.7% 4.2% L7Days 31.5% 16.3% 13.0%
Braves Road 31.6% 11.7% 13.3% RH 30.8% 11.2% 11.9% L7Days 29.7% 7.1% 10.9%
Padres Road 29.4% 14.7% 7.4% RH 28.3% 14.3% 6.0% L7Days 25.6% 6.8% 7.5%
Nationals Home 32.4% 14.8% 15.1% RH 31.7% 14.5% 14.7% L7Days 33.1% 9.3% 18.4%
Rangers Home 35.3% 17.1% 16.3% RH 33.7% 17.5% 13.7% L7Days 33.1% 19.4% 11.4%
Mariners Home 29.0% 12.6% 9.5% LH 30.3% 10.1% 9.2% L7Days 27.8% 13.7% 9.8%
Diamondbacks Home 39.2% 16.1% 25.7% RH 36.7% 15.4% 19.8% L7Days 33.1% 12.7% 15.4%
Cubs Home 30.9% 16.0% 13.6% RH 29.9% 13.7% 11.8% L7Days 32.2% 14.9% 14.7%
Reds Road 30.1% 13.7% 10.8% RH 29.8% 14.5% 9.6% L7Days 27.3% 13.2% 4.9%

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%
Aaron Sanchez TOR 17.5% 7.7% 2.27
Carlos Carrasco CLE 26.6% 12.5% 2.13 29.7% 14.0% 2.12
Carlos Martinez STL 27.5% 10.9% 2.52 27.7% 10.8% 2.56
Charlie Morton HOU 25.8% 10.2% 2.53
Clayton Richard SDG 16.3% 7.9% 2.06 15.4% 6.5% 2.37
Cole Hamels TEX 12.3% 7.1% 1.73 14.6% 5.9% 2.47
Dan Straily MIA 24.5% 12.1% 2.02 23.2% 13.0% 1.78
Derek Holland CHW 19.7% 8.3% 2.37 19.1% 7.8% 2.45
Drew Pomeranz BOS 25.8% 10.5% 2.46 20.6% 10.1% 2.04
Eddie Butler CHC 13.8% 7.4% 1.86 10.0% 5.8% 1.72
Felix Jorge MIN 9.5% 8.2% 1.16 9.5% 8.2% 1.16
German Marquez COL 20.3% 8.5% 2.39 17.1% 7.6% 2.25
Jacob deGrom NYM 29.0% 14.3% 2.03 23.7% 12.2% 1.94
Jake Odorizzi TAM 20.1% 11.0% 1.83 19.4% 10.6% 1.83
James Paxton SEA 26.5% 12.6% 2.10 22.1% 10.4% 2.13
Jason Hammel KAN 17.4% 9.4% 1.85 16.8% 10.5% 1.60
Jordan Montgomery NYY 22.9% 13.5% 1.70 24.2% 15.4% 1.57
Jordan Zimmermann DET 16.3% 8.4% 1.94 21.0% 8.6% 2.44
Junior Guerra MIL 17.3% 10.0% 1.73 16.8% 9.0% 1.87
Kenta Maeda LOS 23.7% 13.6% 1.74 23.5% 12.3% 1.91
Kevin Gausman BAL 17.8% 9.2% 1.93 23.5% 10.2% 2.30
Matt Moore SFO 18.5% 8.8% 2.10 20.2% 9.4% 2.15
Max Scherzer WAS 35.6% 16.2% 2.20 39.4% 17.2% 2.29
Nick Pivetta PHI 23.5% 8.3% 2.83 24.8% 8.8% 2.82
R.A. Dickey ATL 14.7% 7.9% 1.86 24.0% 11.6% 2.07
Ricky Nolasco ANA 19.6% 10.8% 1.81 16.6% 10.3% 1.61
Sean Manaea OAK 25.1% 13.9% 1.81 21.2% 12.6% 1.68
Tim Adleman CIN 21.9% 11.0% 1.99 23.8% 11.8% 2.02
Trevor Williams PIT 17.0% 8.9% 1.91 20.4% 11.0% 1.85
Zack Greinke ARI 28.7% 13.3% 2.16 26.2% 10.0% 2.62


The top four Yankee starters all have a SwStr rate above 12% is something that I just noticed. Jordon Montgomery has a high chase rate (37%), but not an exceptional Z-Contact rate, which may be the reason his K% hasn’t caught up to the SwStr%. That’s just a guess though.

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
Aaron Sanchez TOR 3.33 4.98 1.65 4.95 1.62 5.04 1.71 4.48 1.15
Carlos Carrasco CLE 3.5 3.62 0.12 3.58 0.08 3.62 0.12 3.07 -0.43 3.86 3.32 -0.54 3.25 -0.61 3.58 -0.28
Carlos Martinez STL 3.15 3.79 0.64 3.59 0.44 3.54 0.39 2.59 -0.56 2.81 3.91 1.1 3.83 1.02 3.84 1.03
Charlie Morton HOU 4.06 3.82 -0.24 3.58 -0.48 3.99 -0.07 3.97 -0.09
Clayton Richard SDG 4.85 4.24 -0.61 3.91 -0.94 4.38 -0.47 5.35 0.50 6.07 4.77 -1.3 4.54 -1.53 5.41 -0.66
Cole Hamels TEX 4.12 5.45 1.33 5.34 1.22 5.08 0.96 4.72 0.60 7.36 4.87 -2.49 5.02 -2.34 4.43 -2.93
Dan Straily MIA 3.51 4.07 0.56 4.39 0.88 4 0.49 3.23 -0.28 3.29 3.75 0.46 3.89 0.6 3.78 0.49
Derek Holland CHW 4.52 4.8 0.28 4.93 0.41 5.34 0.82 5.80 1.28 7.3 4.62 -2.68 4.44 -2.86 5.87 -1.43
Drew Pomeranz BOS 3.64 3.82 0.18 3.62 -0.02 3.63 -0.01 3.36 -0.28 2.73 4.28 1.55 3.98 1.25 3.55 0.82
Eddie Butler CHC 4.18 5.75 1.57 5.36 1.18 4.38 0.2 7.16 2.98 4.63 6 1.37 5.77 1.14 4.82 0.19
Felix Jorge MIN 5.4 6.26 0.86 6.51 1.11 5.55 0.15 6.21 0.81 5.4 6.26 0.86 6.51 1.11 5.55 0.15
German Marquez COL 4.41 4.62 0.21 4.81 0.4 4.02 -0.39 5.72 1.31 4.18 5.37 1.19 5.86 1.68 4.08 -0.1
Jacob deGrom NYM 3.55 3.6 0.05 3.31 -0.24 3.62 0.07 2.67 -0.88 2.75 3.81 1.06 3.5 0.75 3.51 0.76
Jake Odorizzi TAM 4.08 4.69 0.61 4.83 0.75 5.51 1.43 5.51 1.43 5.08 4.82 -0.26 5.14 0.06 5.84 0.76
James Paxton SEA 3.27 3.87 0.6 3.62 0.35 2.91 -0.36 2.89 -0.38 6.03 4.7 -1.33 4.3 -1.73 4.78 -1.25
Jason Hammel KAN 5.08 4.9 -0.18 5.29 0.21 4.52 -0.56 5.31 0.23 3.48 4.62 1.14 4.89 1.41 3.8 0.32
Jordan Montgomery NYY 3.62 4.22 0.6 4.39 0.77 4.04 0.42 3.73 0.11 3.52 3.66 0.14 3.64 0.12 4.75 1.23
Jordan Zimmermann DET 5.58 5.09 -0.49 5.29 -0.29 5.78 0.2 5.73 0.15 4.75 4.51 -0.24 4.64 -0.11 4.67 -0.08
Junior Guerra MIL 4.93 5.72 0.79 6.02 1.09 7.1 2.17 8.35 3.42 7.27 6.18 -1.09 6.74 -0.53 8.58 1.31
Kenta Maeda LOS 4.56 3.96 -0.6 4.12 -0.44 4.09 -0.47 4.69 0.13 3.05 3.45 0.4 3.62 0.57 3.15 0.1
Kevin Gausman BAL 5.61 5.08 -0.53 5.04 -0.57 4.93 -0.68 5.97 0.36 5.08 4.58 -0.5 4.46 -0.62 4.1 -0.98
Matt Moore SFO 5.78 4.99 -0.79 5.27 -0.51 4.75 -1.03 7.75 1.97 7.27 5.06 -2.21 5.33 -1.94 4 -3.27
Max Scherzer WAS 1.94 2.7 0.76 3.13 1.19 2.61 0.67 1.80 -0.14 0.83 2.27 1.44 2.66 1.83 1.75 0.92
Nick Pivetta PHI 4.85 4.76 -0.09 4.74 -0.11 5.04 0.19 6.01 1.16 4.55 4.85 0.3 4.73 0.18 4.74 0.19
R.A. Dickey ATL 4.44 5.24 0.8 5.22 0.78 5.3 0.86 6.27 1.83 3.09 3.69 0.6 4.05 0.96 3.15 0.06
Ricky Nolasco ANA 4.42 4.45 0.03 4.57 0.15 5.39 0.97 6.12 1.70 3.21 4.62 1.41 4.56 1.35 4.7 1.49
Sean Manaea OAK 3.75 4.04 0.29 3.95 0.2 3.63 -0.12 3.30 -0.45 3.66 4.31 0.65 4.17 0.51 4.18 0.52
Tim Adleman CIN 4.67 4.58 -0.09 4.88 0.21 5.63 0.96 6.64 1.97 4.36 4.62 0.26 5.05 0.69 6.67 2.31
Trevor Williams PIT 4.67 4.55 -0.12 4.52 -0.15 3.92 -0.75 4.21 -0.46 4.82 3.85 -0.97 3.55 -1.27 3.08 -1.74
Zack Greinke ARI 3.05 3.21 0.16 3.12 0.07 3.27 0.22 2.40 -0.65 3 3.31 0.31 3.1 0.1 3.35 0.35

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
Aaron Sanchez TOR 0.304 0.254 -0.05 40.0% 0.227 14.3% 85.4% 88.8 8.00% 5.80% 75
Carlos Carrasco CLE 0.304 0.271 -0.033 44.6% 0.213 10.6% 86.6% 86.5 8.70% 5.70% 252
Carlos Martinez STL 0.297 0.263 -0.034 50.0% 0.173 11.0% 85.9% 86.9 6.00% 3.80% 282
Charlie Morton HOU 0.297 0.325 0.028 51.3% 0.244 5.3% 84.2% 86.9 4.50% 2.80% 157
Clayton Richard SDG 0.304 0.347 0.043 57.9% 0.218 6.0% 89.9% 85.5 4.70% 3.60% 339
Cole Hamels TEX 0.290 0.229 -0.061 49.6% 0.185 9.3% 91.2% 86.9 3.70% 2.80% 136
Dan Straily MIA 0.291 0.254 -0.037 37.9% 0.162 16.4% 84.5% 86.1 6.60% 4.40% 257
Derek Holland CHW 0.284 0.302 0.018 39.2% 0.215 9.6% 87.6% 88 8.60% 6.00% 268
Drew Pomeranz BOS 0.307 0.322 0.015 43.2% 0.226 11.3% 85.3% 87.7 7.10% 4.80% 238
Eddie Butler CHC 0.289 0.272 -0.017 45.3% 0.223 12.5% 91.1% 86.4 4.70% 3.40% 150
Felix Jorge MIN 0.293 0.353 0.06 27.8% 0.167 0.0% 87.9%
German Marquez COL 0.297 0.316 0.019 39.5% 0.214 11.0% 90.0% 89.4 6.60% 4.60% 212
Jacob deGrom NYM 0.317 0.296 -0.021 46.0% 0.221 11.9% 78.6% 86.6 5.60% 3.50% 267
Jake Odorizzi TAM 0.292 0.245 -0.047 32.8% 0.243 7.9% 83.0% 86.9 7.60% 5.40% 238
James Paxton SEA 0.280 0.303 0.023 42.9% 0.237 13.6% 81.2% 86.3 2.50% 1.60% 200
Jason Hammel KAN 0.300 0.316 0.016 35.3% 0.22 9.5% 88.6% 88.1 8.10% 6.00% 297
Jordan Montgomery NYY 0.288 0.273 -0.015 41.3% 0.162 6.7% 86.0% 86.5 7.20% 5.00% 250
Jordan Zimmermann DET 0.306 0.304 -0.002 32.9% 0.237 11.7% 90.0% 88.1 8.60% 6.50% 301
Junior Guerra MIL 0.300 0.258 -0.042 34.8% 0.217 10.0% 85.7% 87.4 8.60% 5.80% 140
Kenta Maeda LOS 0.279 0.288 0.009 37.5% 0.215 8.5% 80.7% 83.8 3.80% 2.60% 209
Kevin Gausman BAL 0.313 0.358 0.045 41.3% 0.233 11.1% 86.0% 88.6 8.80% 6.30% 307
Matt Moore SFO 0.316 0.332 0.016 37.1% 0.205 6.2% 87.9% 89.6 10.30% 7.30% 312
Max Scherzer WAS 0.296 0.222 -0.074 37.9% 0.141 13.8% 78.1% 85.3 5.80% 3.30% 260
Nick Pivetta PHI 0.299 0.319 0.02 38.5% 0.217 8.8% 86.3% 87.6 9.00% 5.80% 144
R.A. Dickey ATL 0.291 0.273 -0.018 49.2% 0.168 13.3% 85.7% 85.1 6.00% 4.50% 315
Ricky Nolasco ANA 0.286 0.289 0.003 41.4% 0.184 6.6% 86.0% 89.5 10.00% 7.30% 309
Sean Manaea OAK 0.296 0.284 -0.012 48.7% 0.186 4.1% 83.7% 88.8 4.80% 3.10% 229
Tim Adleman CIN 0.292 0.267 -0.025 38.2% 0.173 7.1% 82.5% 86.6 6.30% 4.20% 224
Trevor Williams PIT 0.304 0.282 -0.022 45.0% 0.212 14.7% 88.2% 85.8 5.30% 4.00% 226
Zack Greinke ARI 0.291 0.273 -0.018 47.3% 0.173 12.0% 86.5% 86.3 7.00% 4.60% 286


Carlos Carrasco has an average profile and a career .300 BABIP, similar to what his defense has allowed. It could push his ERA up slightly.

Dan Straily has a career .254 BABIP and an excellent profile. There’s really no issue here.

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.

Value Tier One

James Paxton (2t) hasn’t been very consistent and has had recent issues with run prevention, but he’s managed contact well and is in a great spot hosting the A’s, who strike out a ton. There may be a wider range of potential outcomes than we’d like in the top value spot tonight, but a many of them should end with him putting up a lot of points.

Max Scherzer (1) costs a fortune and the Braves have been able to put bat to ball against him better than any other team this year (13 Ks, 46 BF), but that’s still a 28.2 K%. Your worst case scenario is likely 6 IP – 3 ER – 6 K. That’s the ceiling for a lot of guys.

Value Tier Two

Drew Pomeranz has had some issues striking out batters recently, but should get an assist from the Rays tonight. His run prevention has been better and more consistent than a lot of people probably realize this year. The Rays have struggled against LHP.

Jacob deGrom (2t) is in about as neutral a spot as you can get in St Louis. It seems like a lot of innings with few Ks has been the case when he relies more on his changeup, but facing a predominantly RH lineup could move him away from that, which may mean more strikeouts, although he has run into trouble a few times this year with that approach. He also costs $11K or more.

Kenta Maeda has been inconsistent from a workload standpoint more than anything else. Peripherals and contact management have both been strengths and he’s in a favorable spot at home, where he has a career 18.9 K-BB%. He’s probably a true talent $10K pitcher, so 90 to 95 pitches could cover $8K.

Value Tier Three

Carlos Carrasco has quietly just been pretty good this year. Strikeouts are up over the last month with one terrible outing marring his overall results. He is a bit expensive and could have a bit of an issue with hard contact here, but should be able to accumulate enough strikeouts to compensate.

Jordan Montgomery is in an interesting spot hosting Milwaukee. He has an elite SwStr% and the Brewers strike out a ton vs LHP. He’s also been allowing more HRs and the Brewers do a lot of that too.

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.

Zack Greinke has seen his SwStr% drop over the last month, but had a nice bounce back with eight strikeouts last time out and there’s nothing too concerning underneath the hood yet. We want to exercise caution in a dangerous park at a high price against an offense with some power, but he still has enough upside to consider.

Dan Straily costs a bit more than $8K and is in a great run prevention spot in a park tailor suited to his skill set. Strikeouts are uncertain and will have to be a bonus. His standard five here could still get the job done.

Sean Manaea may be too risky on FanDuel at more than $8K. The Mariners have strong plate discipline against LHP and could make him work. Control hasn’t been a strong suit. His upside may be worth a shot on DraftKings for more than $2K less.

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.