Advanced Stats – Pitching: Tuesday, August 15th

Today’s keyword is “marginal”, as in the value of a whole lot of pitchers tonight. Another word might bland. There are a few to like and a few to hate, but mostly just a giant pile of…”meh” right in the middle. Not very encouraging, but much better than Monday.

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+
A.J. Griffin TEX 1.8 4.73 5.12 28.4% 1.11 5.15 6.29 DET 88 95 102
Alex Wood LOS 2.8 3.56 5.79 56.2% 0.89 2.81 5.29 CHW 91 105 128
Andrew Albers SEA 7.4 4.04 3.1 47.6% 0.89 3.38 BAL 95 95 126
Anthony Banda ARI -5.4 4.07 5.07 35.9% 1.13 4.47 4.31 HOU 128 121 80
Bartolo Colon MIN -0.2 4.51 5.72 44.1% 1.04 3.84 4.61 CLE 100 103 72
Blake Snell TAM -0.5 4.83 4.92 39.2% 1.03 4.6 4.07 TOR 93 99 95
Brad Peacock HOU -5.5 4 5.12 40.2% 1.13 4.44 4.47 ARI 105 100 88
Chris Smith OAK -11.2 4.68 6. 40.5% 0.93 4.88 5.66 KAN 90 91 119
Dan Straily MIA 4.9 4.55 5.77 32.9% 0.94 4.98 4.23 SFO 82 80 68
Danny Salazar CLE 0.3 3.75 5.56 44.0% 1.04 3.73 3.36 MIN 101 99 155
Dinelson Lamet SDG -5.4 3.78 5.24 36.4% 0.91 3.64 5.03 PHI 78 87 75
Gio Gonzalez WAS 1 4.1 5.83 46.7% 1.01 3.68 4.27 ANA 86 86 99
Ivan Nova PIT -2.4 4.14 5.95 49.9% 1.02 3.89 4.68 MIL 91 93 111
Jacob deGrom NYM -1.6 3.45 6.24 45.7% 1.01 3.36 2.57 NYY 114 113 103
Jason Hammel KAN 7.2 4.34 5.49 40.3% 0.93 4.71 3.96 OAK 109 103 94
Justin Verlander DET 1.7 3.83 6.51 34.1% 1.11 4.11 3.55 TEX 107 98 124
Kyle Freeland COL -3.9 4.85 5.63 56.1% 1.39 4.13 -0.02 ATL 91 99 75
Kyle Hendricks CHC 3.2 3.73 5.86 49.8% 0.96 3.37 4.77 CIN 93 99 129
Luis Castillo CIN 7.3 4.2 6.01 57.9% 0.96 3.56 5.86 CHC 104 95 108
Madison Bumgarner SFO -3 3.34 6.74 40.6% 0.94 3.68 3.53 MIA 93 96 106
Marco Estrada TOR -1.9 4.49 5.94 32.2% 1.03 4.73 4.79 TAM 96 102 23
Mark Leiter PHI 2.2 4.07 5.37 48.8% 0.91 4.35 1.09 SDG 90 88 94
Miguel Gonzalez CHW -0.1 5.04 5.79 40.6% 0.89 5.29 5.88 LOS 119 109 100
Mike Leake STL -1.5 4.11 5.99 54.3% 1.13 3.95 3.69 BOS 93 91 85
Rick Porcello BOS 5.4 3.82 6.65 0.423 1.13 3.99 3.93 STL 93 99 152
Sean Newcomb ATL -1.8 4.78 5.29 0.4 1.39 4.08 5.08 COL 88 96 55
Sonny Gray NYY 2.4 4.15 5.67 0.54 1.01 3.78 4.75 NYM 108 101 102
Tyler Skaggs ANA 2 4.33 5.24 0.427 1.01 4.11 4.97 WAS 114 110 107
Wade Miley BAL -5.1 4.4 5.53 0.487 0.89 4.32 4.25 SEA 108 99 105
Zach Davies MIL -1.6 4.41 5.76 0.479 1.02 4.04 5.69 PIT 86 86 60


Alex Wood may merit his own article, but at least much more than the five to ten minutes I have available to research and discuss his recent run. Up until about a month ago, the only thing missing from his Cy Young quality effort was the workload. While the results have been better last two times out (12 IP – 3 ER), he’s struck out a total of 19 over his last five starts, hasn’t reached a 50% ground ball rate in any of his last four and had a season high 45 Hard% last time out. Although fairly stable throughout his last three starts, his velocity has continued on a downward slope since May really. The good news is that he did have a 14.8 SwStr% last time out after his first time below 8% this season the start prior. For the season, his 24.8 95+ mph aEV is still best on the board, his 57.5 GB% is fourth among those with at least 110 innings pitched, his 19.5 K-BB% is 15th. He hosts the White Sox, who lose a DH, do not walk, and are down a couple of their bigger RH power bats from the start of the season.

Danny Salazar has struck out 36 of 97 batters in four starts since returning from the DL, at least eight in each start. He’s allowed just one HR over this span with a 19.2 Hard%, including not a single hard hit ball in his last start, but his walk rate has increased each time out, concluding with four more recently. He now has a 22.0 K-BB% for the season with a ridiculous 16.6 SwStr% that is best in the majors among those with at least 80 innings pitched. The concern is that his 88.4 mph aEV is highest on the board and he’s facing the hottest offense in the majors. Over the last week, the Twins have a 15.1 K% and 26 Hard-Soft%.

Dinelson Lamet has seen his strikeout rate drop a bit over the last month, which is not entirely unexpected considering where it came from. He’s walked three in each of his last two starts, completing six innings in neither of them, but the great news is that his hard hit rate hasn’t exceeded 25% in three starts (-5.6 Hard-Soft%) without a HR. That his 10.3% Barrels/BBE and 38.5% 95+ mph EV are still highest on the board really speaks to how hard he had been getting hit prior. Further great news is that he’s in one of the top spots on the slate, hosting the Phillies (15.5 K-BB% vs RHP, 9.9 HR/FB on the road, 2.8 Hard-Soft% last seven days).

Jacob deGrom struck out nine of 23 Phillies through 6.2 shutout innings before being removed after getting drilled with a line drive. It appeared to be precautionary though. While he’s now failed to go seven innings in four of five starts, he’s gotten two outs in the seventh in three of those starts and has struck out eight or more in four straight and six of eight. His 21.7 K-BB% is seventh among qualifiers and while his 21 HRs is already a career high by five, his 86.1 mph aEV and 29.5% 95+ mph EV are quite respectable. The Yankees certainly aren’t an ideal opponent here for a pitcher who has had long ball issues this year (19.3 HR/FB at home), but they will strike out a bit (22.7% vs RHP).

Kyle Hendricks has a reasonable 14.1 K-BB% with league average ground ball (44.9 GB%) and hard hit rates (31.9%) in four starts back from the DL. The issue has been a workload that’s allowed him more than five innings and 100 pitches just once. While the Reds have a 20 HR/FB over the last week, he’s otherwise in as average a spot as you can find tonight.

Luis Castillo has struck out just eight of his last 54 batters, though it hasn’t been a swinging strike issue (above 11% in both starts) as much as a control one (eight walks). He’s a gas thrower who combines above average swing and miss stuff with a 57.9 GB% (at least 50% in all but one start) and an 85.4 mph aEV that’s limited barrels to 3.7% of batted balls. The Cubs can do some damage, but will strike out enough, so keeping them on the ground will be helpful, but the increase in walks are a concern.

Madison Bumgarner appears to be back in control. He’s gone exactly seven innings with seven strikeouts in each of his last three starts. While his contact management remains nothing spectacular, he’s in another large park tonight and aside from the HR he’ll allow to Stanton, there’s not much to worry about. The Marlins have a 3.3 Hard-Soft% against LHP and that number includes Stanton.

Mark Leiter came on in relief of Vince Velasquez fairly early last week and proceeded to strike out seven of the 19 Mets he faced. Five days earlier, he struck out nine of 15 Rockies at Coors in long relief. That’s 16 of his last 34 for those who don’t like to do math and a 28.7 K% over his last 27.1 innings, though he’s only had a double digit SwStr% in these last two outings. On a trip to San Diego (25.2 K% vs RHP), that’s enough to excite you without knowing much else, but his 85.1 mph aEV this season is encouraging. It looks like a sharp increase in splitters has been responsible for this, up over 20% in each of these last two outings, but just 16.5% for the year.

Sonny Gray has gone six innings with six strikeouts in each of his two Yankee starts, but has walked seven of 52 batters. A 56.3 GB% should serve him well in Yankee Stadium, but his 38.3 95+ mph EV is second highest on the board despite just an 85.7 mph aEV. There seems to be no in between. The Mets can be a tough little offense in this park. They haven’t struck out a lot this season, but have a 20.5 K-BB% to go with their 22.5 HR/FB over the last week.

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

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

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

Gio Gonzalez (.246 – 85.2% – 11.2) used to be a guy who struggled to get out of the fifth inning, but suddenly has gone at least seven innings in seven of 10. That’s something you can’t take away from him and makes me look silly each time I decline to use him, but while he’s increased his soft contact (21.6% is the highest of his career), which puts him at an 85 mph aEV, his peripherals are merely average (13.2 K-BB%). The Angels are below average and lose a DH, but sitting Pujols at this point may be a benefit and this is not an offense that strikes out a lot. His cost is a bit too elevated for me, but he doesn’t miss on either site by much. I believe in improvement, but don’t believe he’s one of the top pitchers in the league now.

Justin Verlander (.291 – 75.5% – 9.6) has been amazing over the last month, at least seven innings in four of five starts with a large increase in SwStr% and 28.5 K%. While his 2.3 Hard-Soft% over this span is also excellent, the concern is a 28.7 GB% as well transitioning to Texas tonight. The Rangers have a 23.7 K% vs RHP, but 17 HR/FB at home and vs RHP. He can certainly make a fade look stupid, but the risk/reward ratio is a concern here.

Mike Leake (.300 – 73% – 14.6) has a 16.9% unearned run rate. His 16.2 K% is not very useful against an offense that strikes out less than average. It’s not a terrible spot at Fenway, though the park does him no favors. He keeps the ball on the ground (55.7%) and the Red Sox don’t have a lot of power (10.3 HR/FB at home), which could make him useful if necessary for $6K on DraftKings, but he’s not going to pop off and win anyone a GPP.

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

Dan Straily has a SwStr rate above 11% and an ERA below four with a SIERA and xFIP a bit separated, but his FIP and DRA in line. He’s in one of the best spots on the board hosting the Giants (6.2 HR/FB last seven days). What’s the problem? He’s completed six innings just eight times in 24 starts with more than four strikeouts just twice in his last 10. That said, players can probably feel comfortable with him in an SP2 role on DraftKings for just $6.5K in this spot. He just misses for me on FanDuel for $800 more.

Jason Hammel has been pitching just well enough recently to rise his stock enough to place him among the unexciting marginal group today. He’s here. He’s not expensive. He now has a double digit SwStr% and the A’s strike out nearly a quarter of the time at home and vs RHP, but he’ll allow hard contact in the air and they have power.

Ivan Nova has been incredibly consistent lately, give him that. Between five to seven innings with five or six strikeouts in six straight starts. That’s a major strikeout increase in a strikeout rate that’s gone from barely double digits at one point to league average over the last month. However, he’s also allowed 17 HRs in 12 starts since the beginning of June. His ground balls are down (44.3%) and his hard hit rate is up (35.8%) over this span. His 88.3 mph aEV is now tied for second highest on the board. While the Brewers will strike out more than a quarter of the time at home and vs RHP, they also have an 18 HR/FB at home and vs RHP. That said, the allure of so many strikeouts at a reduced cost nearly makes him worth the risk on DraftKings ($6.4K).

Rick Porcello has struck out seven of 23 Rays in his last start, but still allowed two more HRs and is now up to 18 HRs over his last 13 starts. The Cardinals are one of the hottest teams in baseball (18.4 HR/FB last seven days).

Tyler Skaggs

Kyle Freeland

Sean Newcomb

Blake Snell

Marco Estrada could pull off a big one here in a high strikeout spot against an ice cold offense (33.3% last seven days), but taking a look at the whole thing makes for a lot of risk. The Rays have power, while he combines a lot of walks with a lot of fly balls. He has gone seven innings in three straight, but the risk outweighs the reward for me here. If you’re playing 10 lineups though, he’s probably worth some exposure if you can project low ownership.

Zack Davies

Wade Miley

Bartolo Colon

A.J. Griffin

Chris Smith

Miguel Gonzalez

Andrew Albers is unavailable on either site, who still don’t have a starting pitcher listed, though he’s currently the guy for Seattle on MLB.com.

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%
A.J. Griffin Rangers L2 Years 20.8% 8.6% Home 19.3% 8.5% L14 Days 16.7% 9.5%
Alex Wood Dodgers L2 Years 23.3% 7.3% Home 28.0% 6.6% L14 Days 12.0% 6.0%
Andrew Albers Mariners L2 Years 18.8% 7.1% Home 21.0% 4.8% L14 Days
Anthony Banda Diamondbacks L2 Years 24.6% 7.7% Home 22.0% 2.4% L14 Days 26.2% 11.9%
Bartolo Colon Twins L2 Years 15.3% 4.4% Home 19.4% 4.6% L14 Days 15.9% 3.2%
Blake Snell Rays L2 Years 22.2% 12.6% Road 21.5% 12.1% L14 Days 20.5% 6.8%
Brad Peacock Astros L2 Years 28.2% 11.7% Road 25.0% 9.8% L14 Days 20.0% 5.5%
Chris Smith Athletics L2 Years 19.4% 10.1% Home 19.2% 8.5% L14 Days 11.1% 6.7%
Dan Straily Marlins L2 Years 20.8% 8.1% Home 20.9% 9.3% L14 Days 20.0% 4.4%
Danny Salazar Indians L2 Years 27.7% 9.8% Road 29.3% 12.0% L14 Days 37.7% 13.2%
Dinelson Lamet Padres L2 Years 29.1% 9.6% Home 29.3% 5.2% L14 Days 23.8% 14.3%
Gio Gonzalez Nationals L2 Years 22.9% 8.8% Home 25.3% 8.9% L14 Days 19.6% 5.4%
Ivan Nova Pirates L2 Years 16.7% 4.4% Road 17.0% 3.3% L14 Days 17.5% 7.0%
Jacob deGrom Mets L2 Years 26.8% 6.6% Road 23.4% 4.6% L14 Days 37.8% 6.7%
Jason Hammel Royals L2 Years 20.1% 7.1% Road 19.7% 6.6% L14 Days 21.7% 4.4%
Justin Verlander Tigers L2 Years 25.7% 7.6% Road 25.5% 8.3% L14 Days 28.6% 5.4%
Kyle Freeland Rockies L2 Years 14.6% 8.4% Home 16.4% 8.0% L14 Days 50.0% 0.0%
Kyle Hendricks Cubs L2 Years 22.8% 6.6% Home 22.4% 5.3% L14 Days 20.0% 10.0%
Luis Castillo Reds L2 Years 23.7% 10.4% Road 23.6% 8.1% L14 Days 14.8% 14.8%
Madison Bumgarner Giants L2 Years 27.2% 5.5% Road 26.7% 5.4% L14 Days 25.5% 5.5%
Marco Estrada Blue Jays L2 Years 22.1% 8.9% Home 23.4% 10.2% L14 Days 21.7% 7.2%
Mark Leiter Phillies L2 Years 22.7% 9.6% Road 22.2% 9.4% L14 Days 41.5% 0.0%
Miguel Gonzalez White Sox L2 Years 14.9% 7.4% Road 13.8% 7.6% L14 Days 9.1% 2.3%
Mike Leake Cardinals L2 Years 15.9% 4.9% Road 16.3% 5.4% L14 Days 16.0% 2.0%
Rick Porcello Red Sox L2 Years 21.6% 4.1% Home 21.6% 3.6% L14 Days 26.5% 8.2%
Sean Newcomb Braves L2 Years 23.2% 12.6% Road 30.8% 14.3% L14 Days 26.0% 16.0%
Sonny Gray Yankees L2 Years 19.8% 8.3% Home 20.5% 7.6% L14 Days 23.1% 13.5%
Tyler Skaggs Angels L2 Years 22.7% 9.7% Road 22.7% 8.8% L14 Days 18.6% 11.6%
Wade Miley Orioles L2 Years 19.2% 8.7% Road 18.0% 9.2% L14 Days 24.5% 12.2%
Zach Davies Brewers L2 Years 17.7% 6.8% Home 19.7% 6.2% L14 Days 9.4% 7.6%

K/BB Chart – Opponent

Opponent Split K% BB% Split K% BB% Split K% BB%
Tigers Road 22.8% 8.8% RH 21.9% 9.1% L7Days 19.5% 6.0%
White Sox Road 22.2% 5.9% LH 21.9% 6.8% L7Days 23.0% 7.7%
Orioles Road 22.9% 6.0% LH 24.1% 6.9% L7Days 21.8% 3.3%
Astros Road 17.9% 8.5% LH 17.2% 8.7% L7Days 18.1% 9.4%
Indians Road 18.8% 9.4% RH 19.9% 9.5% L7Days 22.9% 10.7%
Blue Jays Home 20.4% 9.0% LH 21.4% 10.5% L7Days 20.6% 11.1%
Diamondbacks Home 23.4% 9.6% RH 23.2% 9.5% L7Days 26.8% 8.7%
Royals Road 20.9% 6.4% RH 20.3% 6.6% L7Days 19.1% 9.2%
Giants Road 19.2% 8.1% RH 19.4% 7.5% L7Days 18.4% 8.5%
Twins Home 21.0% 10.2% RH 22.0% 9.7% L7Days 15.1% 8.8%
Phillies Road 22.9% 7.6% RH 23.5% 8.0% L7Days 23.0% 8.7%
Angels Road 20.6% 8.8% LH 19.5% 9.2% L7Days 18.1% 11.1%
Brewers Home 26.3% 8.6% RH 25.7% 8.5% L7Days 25.1% 7.9%
Yankees Home 23.4% 10.3% RH 22.7% 9.4% L7Days 23.2% 9.6%
Athletics Home 24.5% 9.3% RH 24.9% 9.4% L7Days 25.6% 6.9%
Rangers Home 21.9% 9.3% RH 23.7% 9.0% L7Days 22.2% 11.7%
Braves Road 19.1% 7.6% LH 18.4% 8.7% L7Days 14.6% 6.4%
Reds Road 20.2% 8.3% RH 20.6% 9.2% L7Days 19.0% 14.8%
Cubs Home 21.5% 10.0% RH 22.0% 9.0% L7Days 19.6% 7.8%
Marlins Home 20.0% 8.6% LH 19.2% 7.6% L7Days 15.8% 8.9%
Rays Road 25.2% 8.7% RH 25.2% 8.7% L7Days 33.3% 7.3%
Padres Home 24.5% 8.4% RH 25.2% 7.6% L7Days 23.6% 7.2%
Dodgers Home 22.3% 10.4% RH 22.4% 10.4% L7Days 18.0% 10.4%
Red Sox Home 18.7% 9.2% RH 19.4% 8.5% L7Days 23.0% 8.8%
Cardinals Road 21.6% 9.0% RH 21.7% 9.2% L7Days 18.0% 12.7%
Rockies Home 21.5% 7.9% LH 23.5% 7.8% L7Days 22.8% 8.3%
Mets Road 21.4% 8.3% RH 19.7% 8.8% L7Days 26.8% 6.3%
Nationals Home 20.1% 8.9% LH 21.7% 7.6% L7Days 20.6% 7.9%
Mariners Home 21.3% 8.5% LH 19.4% 9.1% L7Days 17.4% 6.1%
Pirates Road 19.5% 8.6% RH 18.5% 8.3% L7Days 21.2% 6.9%

Batted Ball Chart

Pitcher and Opponent Batted Ball stats.

Pitcher Team Split Hard% HR/FB% Hd-St% Split Hard% HR/FB% Hd-St% Split Hard% HR/FB% Hd-St% Split Hard% HR/FB% Hd-St%
A.J. Griffin Rangers L2 Years 38.3% 16.8% 18.5% 2017 38.7% 16.7% 14.7% Home 38.7% 19.5% 23.5% L14 Days 35.5% 14.3% 9.7%
Alex Wood Dodgers L2 Years 25.4% 11.4% 7.4% 2017 23.8% 9.0% 4.5% Home 25.0% 10.6% 2.8% L14 Days 34.2% 7.7% 22.0%
Andrew Albers Mariners L2 Years 41.3% 26.3% 25.4% 2017 Home 43.5% 16.7% 26.1% L14 Days
Anthony Banda Diamondbacks L2 Years 40.5% 5.6% 31.0% 2017 40.5% 5.6% 31.0% Home 46.7% 7.1% 40.0% L14 Days 37.5% 0.0% 25.0%
Bartolo Colon Twins L2 Years 34.1% 11.8% 17.0% 2017 36.4% 12.2% 17.5% Home 34.1% 11.5% 13.6% L14 Days 49.0% 4.8% 39.2%
Blake Snell Rays L2 Years 32.2% 8.9% 11.1% 2017 33.1% 12.2% 13.2% Road 32.8% 9.5% 14.6% L14 Days 31.3% 10.0% 18.8%
Brad Peacock Astros L2 Years 28.3% 8.6% 6.4% 2017 28.3% 5.8% 1.9% Road 29.8% 7.7% 10.7% L14 Days 24.4% 15.0% -2.4%
Chris Smith Athletics L2 Years 30.3% 16.2% 12.6% 2017 32.5% 18.4% 14.5% Home 31.4% 15.6% 14.7% L14 Days 37.8% 27.8% 16.2%
Dan Straily Marlins L2 Years 32.8% 11.3% 15.2% 2017 34.0% 10.6% 13.4% Home 34.4% 8.6% 17.8% L14 Days 29.4% 0.0% 8.8%
Danny Salazar Indians L2 Years 31.3% 13.2% 16.7% 2017 26.8% 17.1% 11.3% Road 30.3% 13.1% 14.1% L14 Days 11.5% 0.0% 0.0%
Dinelson Lamet Padres L2 Years 37.4% 14.1% 21.9% 2017 37.4% 14.1% 21.9% Home 35.1% 12.1% 21.6% L14 Days 25.0% 0.0% 0.0%
Gio Gonzalez Nationals L2 Years 31.1% 11.1% 11.6% 2017 29.2% 11.2% 7.6% Home 32.0% 12.8% 13.2% L14 Days 17.5% 0.0% -5.0%
Ivan Nova Pirates L2 Years 34.0% 16.1% 16.2% 2017 33.8% 15.9% 16.5% Road 36.9% 18.6% 23.3% L14 Days 42.9% 21.4% 26.2%
Jacob deGrom Mets L2 Years 31.6% 13.7% 11.4% 2017 33.9% 15.7% 13.2% Road 34.9% 16.0% 16.9% L14 Days 28.0% 18.2% -4.0%
Jason Hammel Royals L2 Years 32.8% 12.1% 15.2% 2017 30.8% 8.6% 13.6% Road 34.3% 13.9% 17.2% L14 Days 48.5% 0.0% 30.3%
Justin Verlander Tigers L2 Years 29.8% 9.3% 10.5% 2017 35.3% 9.6% 17.9% Road 30.2% 10.8% 12.6% L14 Days 27.8% 10.5% 0.0%
Kyle Freeland Rockies L2 Years 29.4% 14.0% 5.0% 2017 29.4% 14.0% 5.0% Home 25.4% 10.9% -2.0% L14 Days 0.0% 0.0% 0.0%
Kyle Hendricks Cubs L2 Years 28.6% 11.9% 5.8% 2017 35.1% 15.5% 13.3% Home 29.7% 11.1% 5.1% L14 Days 28.6% 15.4% 8.6%
Luis Castillo Reds L2 Years 29.0% 18.4% 8.0% 2017 29.0% 18.4% 8.0% Road 26.2% 17.4% 3.6% L14 Days 36.1% 20.0% 16.7%
Madison Bumgarner Giants L2 Years 31.3% 10.1% 11.8% 2017 34.4% 9.3% 15.1% Road 32.3% 13.1% 13.0% L14 Days 35.1% 8.3% 13.5%
Marco Estrada Blue Jays L2 Years 29.5% 10.7% 8.7% 2017 27.7% 11.0% 7.7% Home 29.9% 10.9% 9.7% L14 Days 15.3% 5.9% -5.0%
Mark Leiter Phillies L2 Years 26.9% 20.0% 5.4% 2017 26.9% 20.0% 5.4% Road 25.3% 22.2% 3.8% L14 Days 36.4% 66.7% 18.2%
Miguel Gonzalez White Sox L2 Years 30.6% 9.0% 14.2% 2017 32.9% 10.5% 18.0% Road 32.1% 10.3% 15.0% L14 Days 31.6% 13.6% 23.7%
Mike Leake Cardinals L2 Years 30.4% 14.1% 13.7% 2017 30.8% 14.6% 14.9% Road 34.2% 9.5% 18.4% L14 Days 24.4% 14.3% 2.4%
Rick Porcello Red Sox L2 Years 34.5% 11.5% 17.9% 2017 40.8% 14.3% 24.1% Home 34.6% 9.1% 17.0% L14 Days 28.1% 21.4% 6.2%
Sean Newcomb Braves L2 Years 27.9% 10.3% 10.3% 2017 27.9% 10.3% 10.3% Road 38.8% 5.3% 20.4% L14 Days 14.3% 7.7% 0.0%
Sonny Gray Yankees L2 Years 31.3% 15.7% 14.6% 2017 28.3% 11.4% 10.4% Home 29.4% 12.1% 11.9% L14 Days 27.3% 0.0% 0.0%
Tyler Skaggs Angels L2 Years 29.3% 9.3% 6.2% 2017 24.1% 7.9% -0.9% Road 28.4% 10.5% 6.2% L14 Days 13.3% 0.0% -16.7%
Wade Miley Orioles L2 Years 32.0% 15.6% 14.7% 2017 33.6% 18.8% 16.7% Road 35.8% 16.3% 19.2% L14 Days 22.6% 16.7% 9.7%
Zach Davies Brewers L2 Years 31.8% 12.5% 12.2% 2017 29.5% 13.0% 10.2% Home 34.1% 14.1% 14.9% L14 Days 36.4% 0.0% 29.6%

Batted Ball Charts – Opponent

Opponent Split Hard% HR/FB% Hd-St% Split Hard% HR/FB% Hd-St% Split Hard% HR/FB% Hd-St%
Tigers Road 34.4% 12.3% 16.9% RH 40.0% 11.5% 24.5% L7Days 37.8% 11.9% 23.0%
White Sox Road 31.4% 13.6% 14.0% LH 29.2% 13.5% 9.3% L7Days 31.5% 12.3% 14.5%
Orioles Road 34.9% 13.9% 15.5% LH 34.3% 12.6% 15.6% L7Days 36.5% 14.5% 19.0%
Astros Road 33.6% 15.1% 15.6% LH 29.1% 14.6% 10.2% L7Days 34.8% 9.1% 20.4%
Indians Road 34.8% 11.7% 18.5% RH 33.7% 12.0% 16.7% L7Days 31.8% 10.0% 12.2%
Blue Jays Home 29.7% 14.3% 10.1% LH 30.2% 14.2% 11.8% L7Days 28.4% 14.3% 10.1%
Diamondbacks Home 37.9% 16.1% 23.4% RH 35.1% 14.7% 18.0% L7Days 35.4% 15.2% 19.2%
Royals Road 32.0% 13.7% 12.8% RH 31.3% 12.1% 11.9% L7Days 29.9% 10.8% 13.0%
Giants Road 30.8% 10.6% 10.0% RH 28.2% 8.7% 6.9% L7Days 30.1% 6.2% 7.4%
Twins Home 33.9% 12.1% 17.0% RH 33.3% 12.7% 16.7% L7Days 38.8% 20.3% 26.0%
Phillies Road 30.4% 9.9% 9.6% RH 30.5% 11.1% 9.8% L7Days 25.3% 6.8% 2.8%
Angels Road 32.6% 11.0% 13.4% LH 30.1% 9.5% 12.2% L7Days 30.8% 9.5% 8.8%
Brewers Home 37.7% 18.5% 19.0% RH 34.1% 18.6% 15.5% L7Days 42.0% 13.6% 26.7%
Yankees Home 30.1% 19.3% 9.6% RH 31.2% 16.6% 12.2% L7Days 28.7% 13.2% 9.0%
Athletics Home 32.2% 14.7% 17.3% RH 33.7% 14.4% 17.7% L7Days 33.9% 13.0% 20.7%
Rangers Home 36.3% 17.3% 18.2% RH 34.4% 17.6% 15.7% L7Days 33.6% 17.8% 17.8%
Braves Road 31.4% 12.2% 13.4% LH 29.6% 15.8% 9.9% L7Days 30.1% 7.5% 13.3%
Reds Road 30.6% 13.9% 11.1% RH 29.7% 14.4% 9.2% L7Days 32.8% 20.9% 14.5%
Cubs Home 31.9% 17.2% 14.7% RH 31.2% 15.3% 13.3% L7Days 32.6% 16.7% 14.6%
Marlins Home 31.3% 15.2% 9.9% LH 26.8% 13.8% 3.3% L7Days 25.9% 13.6% 5.3%
Rays Road 32.4% 16.5% 12.5% RH 34.9% 16.9% 16.9% L7Days 29.6% 8.9% 9.6%
Padres Home 29.1% 12.6% 7.0% RH 29.7% 14.0% 7.2% L7Days 36.1% 17.1% 17.2%
Dodgers Home 36.8% 16.8% 21.2% RH 36.0% 15.5% 20.6% L7Days 37.4% 14.5% 23.8%
Red Sox Home 35.1% 10.3% 17.5% RH 33.9% 11.1% 16.1% L7Days 34.2% 14.0% 18.7%
Cardinals Road 31.5% 13.3% 14.1% RH 31.3% 12.8% 12.5% L7Days 36.2% 18.4% 22.1%
Rockies Home 32.6% 16.1% 13.6% LH 33.0% 16.1% 13.1% L7Days 27.0% 9.3% 3.3%
Mets Road 36.3% 16.0% 19.2% RH 34.9% 13.6% 17.6% L7Days 32.1% 22.5% 13.0%
Nationals Home 32.1% 14.8% 15.6% LH 31.4% 15.6% 12.8% L7Days 30.3% 11.5% 12.4%
Mariners Home 29.5% 12.3% 10.5% LH 30.5% 10.4% 10.5% L7Days 29.7% 14.5% 13.4%
Pirates Road 30.6% 12.1% 10.4% RH 29.8% 10.1% 8.8% L7Days 29.9% 7.3% 9.1%

K/SwStr Chart (2017 LG AVG – 20.5 K% – 9.7 SwStr% – 2.1 K/SwStr)

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

Pitcher Team K% Season SwStr% Season K%/SwStr% K% L30 Days SwStr% L30 Days K%/SwStr%
A.J. Griffin TEX 20.1% 8.7% 2.31 16.7% 7.1% 2.35
Alex Wood LOS 26.4% 12.6% 2.10 15.1% 9.9% 1.53
Andrew Albers SEA
Anthony Banda ARI 24.6% 10.7% 2.30 24.6% 10.7% 2.30
Bartolo Colon MIN 13.5% 5.2% 2.60 12.1% 6.0% 2.02
Blake Snell TAM 19.6% 9.5% 2.06 20.5% 10.8% 1.90
Brad Peacock HOU 30.3% 12.3% 2.46 25.9% 10.5% 2.47
Chris Smith OAK 12.8% 8.6% 1.49 12.2% 8.0% 1.53
Dan Straily MIA 21.6% 11.4% 1.89 18.0% 11.7% 1.54
Danny Salazar CLE 32.7% 16.6% 1.97 37.1% 18.6% 1.99
Dinelson Lamet SDG 29.1% 12.9% 2.26 26.3% 12.0% 2.19
Gio Gonzalez WAS 22.7% 9.2% 2.47 20.2% 7.7% 2.62
Ivan Nova PIT 15.3% 8.3% 1.84 20.8% 11.3% 1.84
Jacob deGrom NYM 29.2% 13.9% 2.10 29.9% 13.3% 2.25
Jason Hammel KAN 17.9% 10.1% 1.77 18.3% 10.3% 1.78
Justin Verlander DET 22.7% 9.8% 2.32 28.5% 12.6% 2.26
Kyle Freeland COL 14.6% 7.0% 2.09 19.1% 8.8% 2.17
Kyle Hendricks CHC 20.0% 7.9% 2.53 19.6% 9.3% 2.11
Luis Castillo CIN 23.7% 11.8% 2.01 19.2% 10.8% 1.78
Madison Bumgarner SFO 23.4% 9.4% 2.49 22.3% 8.2% 2.72
Marco Estrada TOR 23.8% 11.4% 2.09 20.4% 10.4% 1.96
Mark Leiter PHI 22.7% 8.0% 2.84 36.2% 16.1% 2.25
Miguel Gonzalez CHW 12.7% 6.6% 1.92 12.3% 6.2% 1.98
Mike Leake STL 16.2% 8.2% 1.98 15.5% 7.8% 1.99
Rick Porcello BOS 21.1% 9.3% 2.27 22.4% 8.5% 2.64
Sean Newcomb ATL 23.2% 11.9% 1.95 25.2% 12.2% 2.07
Sonny Gray NYY 23.5% 12.3% 1.91 25.5% 15.4% 1.66
Tyler Skaggs ANA 22.6% 9.6% 2.35 18.6% 8.4% 2.21
Wade Miley BAL 19.3% 7.8% 2.47 19.2% 8.7% 2.21
Zach Davies MIL 15.4% 7.2% 2.14 16.1% 7.6% 2.12


Mark Leiter has a SwStr rate above 17% in each of his last two outings (9.1 innings – 16 strikeouts).

ERA Estimators Chart (2017 LG AVG – 4.48 ERA – 4.48 SIERA – 4.41 xFIP – 4.50 FIP)

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

Pitcher Team Season
ERA
Season
SIERA
DIFF Season
xFIP
DIFF Season
FIP
DIFF Season
DRA
DIFF ERA
L30
SIERA
L30
DIFF xFIP
L30
DIFF FIP
L30
DIFF
A.J. Griffin TEX 5.4 5.04 -0.36 5.68 0.28 6.38 0.98 7.03 1.63 4.09 6.29 2.2 6.35 2.26 6.5 2.41
Alex Wood LOS 2.37 3.32 0.95 3.04 0.67 2.67 0.3 3.02 0.65 4.25 4.76 0.51 4.34 0.09 4.42 0.17
Andrew Albers SEA
Anthony Banda ARI 4.6 4.06 -0.54 4.48 -0.12 3.26 -1.34 4.25 -0.35 4.6 4.07 -0.53 4.48 -0.12 3.26 -1.34
Bartolo Colon MIN 6.77 5.02 -1.75 4.99 -1.78 4.74 -2.03 7.00 0.23 4.02 5.02 1 5.01 0.99 4.06 0.04
Blake Snell TAM 4.69 5.19 0.5 5.08 0.39 4.87 0.18 4.28 -0.41 4.39 4.49 0.1 4.56 0.17 4.37 -0.02
Brad Peacock HOU 3.07 3.83 0.76 3.9 0.83 2.9 -0.17 3.92 0.85 4.1 3.7 -0.4 3.97 -0.13 3.78 -0.32
Chris Smith OAK 5.29 5.53 0.24 5.64 0.35 6.52 1.23 7.76 2.47 5.46 5.78 0.32 6.04 0.58 6.96 1.5
Dan Straily MIA 3.74 4.35 0.61 4.64 0.9 4.1 0.36 3.84 0.10 5.47 4.84 -0.63 5.01 -0.46 3.86 -1.61
Danny Salazar CLE 4.15 3.5 -0.65 3.33 -0.82 3.72 -0.43 3.11 -1.04 1.42 2.92 1.5 2.83 1.41 1.87 0.45
Dinelson Lamet SDG 5 3.78 -1.22 4.13 -0.87 4.19 -0.81 3.78 -1.22 3.62 4.29 0.67 4.32 0.7 3.17 -0.45
Gio Gonzalez WAS 2.59 4.39 1.8 4.26 1.67 3.95 1.36 3.54 0.95 2.28 4.36 2.08 4.45 2.17 3.46 1.18
Ivan Nova PIT 3.87 4.38 0.51 4.07 0.2 4.34 0.47 4.91 1.04 6.67 3.91 -2.76 3.71 -2.96 5.29 -1.38
Jacob deGrom NYM 3.21 3.44 0.23 3.3 0.09 3.53 0.32 2.85 -0.36 2.23 3.21 0.98 3.45 1.22 2.74 0.51
Jason Hammel KAN 4.68 4.71 0.03 4.98 0.3 4.11 -0.57 4.26 -0.42 3.56 4.19 0.63 4.16 0.6 2.71 -0.85
Justin Verlander DET 3.97 4.58 0.61 4.71 0.74 4.07 0.1 3.76 -0.21 1.8 3.62 1.82 3.95 2.15 3.25 1.45
Kyle Freeland COL 3.7 4.85 1.15 4.72 1.02 4.76 1.06 5.02 1.32 3.14 3.55 0.41 3.58 0.44 4.81 1.67
Kyle Hendricks CHC 3.7 4.3 0.6 4.01 0.31 4.21 0.51 4.55 0.85 2.57 4.16 1.59 3.83 1.26 3.38 0.81
Luis Castillo CIN 3.73 4.2 0.47 4.02 0.29 4.51 0.78 4.34 0.61 4.1 4.64 0.54 4.36 0.26 4.42 0.32
Madison Bumgarner SFO 2.71 3.78 1.07 3.88 1.17 3.24 0.53 3.38 0.67 2.52 4.02 1.5 4.17 1.65 3.7 1.18
Marco Estrada TOR 4.85 4.48 -0.37 4.84 -0.01 4.35 -0.5 6.65 1.80 3.93 5.33 1.4 5.77 1.84 4.39 0.46
Mark Leiter PHI 4.08 4.07 -0.01 4.22 0.14 4.93 0.85 3.77 -0.31 4.09 1.88 -2.21 1.78 -2.31 3.5 -0.59
Miguel Gonzalez CHW 4.85 5.53 0.68 5.7 0.85 5.11 0.26 5.52 0.67 4.03 5.7 1.67 6.1 2.07 4.93 0.9
Mike Leake STL 3.48 4.18 0.7 3.9 0.42 3.99 0.51 4.71 1.23 5.04 4.05 -0.99 3.91 -1.13 3.98 -1.06
Rick Porcello BOS 4.63 4.1 -0.53 4.29 -0.34 4.4 -0.23 4.86 0.23 4.18 3.93 -0.25 4.17 -0.01 5.64 1.46
Sean Newcomb ATL 4.45 4.78 0.33 4.71 0.26 4.28 -0.17 5.37 0.92 4.67 5.05 0.38 5.33 0.66 5.21 0.54
Sonny Gray NYY 3.39 3.8 0.41 3.38 -0.01 3.19 -0.2 3.06 -0.33 2.22 3.79 1.57 3.3 1.08 2.27 0.05
Tyler Skaggs ANA 3.63 4.29 0.66 4.11 0.48 3.39 -0.24 3.98 0.35 2.61 4.97 2.36 4.42 1.81 3.04 0.43
Wade Miley BAL 5.19 4.98 -0.21 4.57 -0.62 5.09 -0.1 5.27 0.08 5.79 5.14 -0.65 4.73 -1.06 5.25 -0.54
Zach Davies MIL 4.4 4.82 0.42 4.6 0.2 4.52 0.12 4.85 0.45 2.36 4.68 2.32 4.32 1.96 2.93 0.57


Alex Wood has a 9.0 HR/FB. It’s unlikely the current version of him can sustain this. Four of his six HRs have come over his last four starts as a matter of fact.

Dinelson Lamet has just a .264 BABIP, .167 over his last three starts, in which he’s managed contact incredibly well, though it’s certainly not sustainable at that level. He also still has just a 61.5 LOB% for the season.

Kyle Hendricks has an 87.8 LOB% since returning from the DL (four starts).

BABIP & Statcast Chart (2017 LG AVG – .297 BABIP – 44.3 GB% – 20.5 LD% – 9.4 IFFB% – 86.7 Z-Contact%)

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

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

Pitcher Team Team BABIP Pitcher BABIP Diff GB% Pitcher LD% Pitcher IFFB% Pitcher Zcontact Exit
Velocity
Barrels
BBE
95+ MPH
EV
BBE
A.J. Griffin TEX 0.289 0.215 -0.074 26.7% 0.133 20.0% 84.8% 87.2 11.30% 32.70% 150
Alex Wood LOS 0.280 0.271 -0.009 57.5% 0.192 11.9% 84.4% 84.8 3.40% 24.80% 290
Andrew Albers SEA 0.279
Anthony Banda ARI 0.294 0.317 0.023 35.9% 0.179 0.0% 79.7% 84.4 2.40% 28.60% 42
Bartolo Colon MIN 0.298 0.344 0.046 43.7% 0.201 10.6% 93.2% 87.8 6.30% 37.80% 349
Blake Snell TAM 0.284 0.293 0.009 42.2% 0.187 13.3% 85.7% 85.5 5.10% 30.10% 236
Brad Peacock HOU 0.295 0.300 0.005 39.8% 0.194 10.5% 81.1% 86.5 5.20% 28.80% 212
Chris Smith OAK 0.292 0.231 -0.061 37.9% 0.198 6.1% 86.7% 87.1 10.30% 33.30% 117
Dan Straily MIA 0.293 0.272 -0.021 34.4% 0.188 15.0% 86.3% 85.8 6.60% 28.40% 394
Danny Salazar CLE 0.303 0.341 0.038 38.0% 0.255 11.4% 77.8% 88.4 7.70% 29.40% 194
Dinelson Lamet SDG 0.307 0.264 -0.043 36.4% 0.185 7.7% 82.7% 88.3 10.30% 38.50% 174
Gio Gonzalez WAS 0.293 0.246 -0.047 45.5% 0.184 9.8% 86.6% 85 5.20% 28.00% 407
Ivan Nova PIT 0.308 0.294 -0.014 47.4% 0.237 8.0% 91.5% 88.3 6.10% 37.00% 492
Jacob deGrom NYM 0.320 0.290 -0.03 45.1% 0.197 10.4% 78.8% 86.1 6.50% 29.50% 386
Jason Hammel KAN 0.299 0.302 0.003 38.4% 0.204 8.0% 87.9% 87.7 6.80% 34.10% 425
Justin Verlander DET 0.309 0.291 -0.018 33.4% 0.24 10.2% 85.8% 87.5 7.20% 35.60% 419
Kyle Freeland COL 0.302 0.287 -0.015 56.1% 0.163 12.1% 90.5% 84.7 4.80% 32.90% 398
Kyle Hendricks CHC 0.283 0.278 -0.005 49.4% 0.214 11.3% 88.0% 85.3 4.80% 31.50% 248
Luis Castillo CIN 0.293 0.255 -0.038 57.9% 0.113 8.2% 83.0% 85.4 3.70% 30.20% 162
Madison Bumgarner SFO 0.317 0.265 -0.052 41.8% 0.185 10.7% 88.3% 86.4 6.30% 31.80% 192
Marco Estrada TOR 0.307 0.305 -0.002 30.8% 0.197 15.2% 80.7% 87.1 7.70% 32.80% 390
Mark Leiter PHI 0.297 0.246 -0.051 48.8% 0.202 5.0% 87.8% 85.1 6.90% 31.50% 130
Miguel Gonzalez CHW 0.288 0.294 0.006 39.4% 0.194 7.8% 90.6% 87.8 7.40% 35.50% 377
Mike Leake STL 0.294 0.300 0.006 55.7% 0.213 4.9% 90.4% 87.3 5.10% 36.10% 452
Rick Porcello BOS 0.305 0.328 0.023 38.2% 0.212 10.2% 87.4% 88.1 8.50% 35.10% 485
Sean Newcomb ATL 0.292 0.302 0.01 40.0% 0.238 5.2% 83.3% 87.7 5.50% 34.50% 165
Sonny Gray NYY 0.290 0.280 -0.01 56.3% 0.205 4.3% 85.5% 85.7 5.50% 38.30% 308
Tyler Skaggs ANA 0.285 0.330 0.045 42.3% 0.234 7.9% 87.9% 86.3 3.60% 33.00% 112
Wade Miley BAL 0.315 0.328 0.013 50.9% 0.232 8.3% 90.9% 87.1 6.30% 35.70% 378
Zach Davies MIL 0.300 0.304 0.004 48.4% 0.221 9.2% 89.7% 86 4.90% 31.30% 451


Luis Castillo has an unsustainable 11.3 LD%, but it has happened and is why his BABIP is so low.

Mark Leiter has a BABIP that’s a bit fluky. Though the aEV is low, there are really no other strong points in the profile. He’s not even at 50 innings on the season yet though.

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

Mark Leiter has struck out 16 of his last 34 batters, which needs to be repeated because he’s in San Diego at a cost below $7K tonight. While we normally don’t like to jump to conclusions based on such small sample sizes, we’ve identified a possible cause (more splitters) as well as a great matchup at a low price. The point is, he can cut that strikeout rate in half and still be useful here with five to seven strikeouts. If he goes six innings with eight….cha-ching!

Dinelson Lamet (2t) has struggled to get deep into games on a consistent basis, while his strikeout rate has dropped slightly with his walk rate rising. What has improved significantly is his contact management, which had been so bad, you questioned his spot in the rotation despite a near 30% strikeout rate. He’s in one of the top spots at home against the Phillies at $8.5K or less.

Value Tier Two

Alex Wood (2t) still deserves some credit for what he’s done so far. While there are concerning trends in his profile over the last month, his SwStr% did bounce back in a major way last time out, he costs $9.6K on either site and is in a favorable spot hosting the White Sox.

Jacob deGrom (1) loses a bit in a difficult matchup, but has the highest strikeout and swinging strike rates among qualified pitchers today and should be able to accumulate tonight and keep his floor fairly high.

Value Tier Three

Danny Salazar (2t) has been dominant since returning from the DL, both in terms of strikeouts and contact management, though walks have been becoming an issue again. He’s one of five pitchers costing $11.5K or more on DraftKings tonight ($2.7K less on FanDuel) and the concern is his tendency towards hard contact in the past, while the Twins have been on fire. It’s not a favorable spot, but he’s certainly a pitcher players should strongly consider having some exposure to.

Madison Bumgarner (2t) appears to have his groove back. He’s been very good, but the cost is exceptional. It’s still a cost he may be able to cover in a decent spot if he pitches around Stanton.

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.

Kyle Hendricks has been a bit better than average since returning and has an average cost in an average spot tonight. This is a spot where you’ll certainly want to watch for weather, lineups, umpires, etc… He’s right on the cusp where any information that pushes him in one direction or the other could determine his usefulness tonight. He’s been better since returning, though still not great.

Luis Castillo still has quite a bit of upside at a reasonable cost and while the Cubs will strike out, they take a lot of walks too, which might be a concern considering his lack of control recently. His ability to keep the ball on the ground could limit the damage in that case.

Sonny Gray is going to be interesting tonight because I’m not sure what to expect. He’s been missing a lot of bats and the Mets have been swinging and missing more recently. He generates a lot of ground balls, but the Mets generate a lot of good contact against ground ball pitchers (125 sOPS+ via Baseball-Reference). He has a low exit velocity overall, but a lot of contact with a high exit velocity too and is making his first home start for the Yankees. Adrenaline could take over and he could pitch a gem, but there more uncertainty here than I might be comfortable with.

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.