Advanced Stats - Pitching: Friday, May 18th

UPDATE: Sean Newcomb has been scratched; Matt Wisler will start tonight.

With 30 pitchers to get through, let’s sacrifice some words here to include more important information below and get right to it.

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+
Alex Cobb Orioles -7.3 4.49 5.8 49.2% 1.10 4.66 3.38 Red Sox 115 117 93
Blake Snell Rays -2.8 4.50 5.2 40.4% 0.93 4.73 4.80 Angels 94 107 62
Brent Suter Brewers 5.1 4.41 5.0 40.9% 1.05 4.24 4.33 Twins 87 101 69
Brett Anderson Athletics -1.8 4.91 4.1 50.5% 1.04 4.24 5.38 Blue Jays 100 88 98
Carson Fulmer White Sox -1.8 5.33 3.9 32.8% 0.98 6.37 5.15 Rangers 81 78 42
CC Sabathia Yankees 6.2 4.30 5.7 49.7% 1.04 4.28 2.56 Royals 88 98 87
Charlie Morton Astros 7.4 3.52 5.9 53.1% 0.87 3.22 2.59 Indians 82 97 142
Dan Straily Marlins -5 4.62 5.6 32.4% 0.99 4.61 6.05 Braves 102 106 115
Derek Holland Giants -9.4 5.23 5.2 38.4% 0.93 5.37 5.36 Rockies 79 95 77
Drew Pomeranz Red Sox 4.9 4.15 5.5 44.0% 1.10 4.02 4.72 Orioles 74 96 116
Felix Hernandez Mariners -3 4.49 5.7 45.9% 0.92 4.09 4.62 Tigers 93 93 98
Homer Bailey Reds -3.8 4.94 4.9 42.6% 1.01 5.31 5.09 Cubs 94 105 114
Ivan Nova Pirates -2.3 4.14 5.9 47.7% 0.98 4.07 5.12 Padres 77 83 95
Jacob deGrom Mets -1 3.38 6.3 45.0% 0.92 2.96 12.32 Diamondbacks 98 78 29
Jake Arrieta Phillies -3.3 4.18 5.9 49.0% 0.92 4.20 4.99 Cardinals 89 93 96
Jakob Junis Royals -0.7 4.31 6.0 39.4% 1.04 4.23 3.46 Yankees 91 113 129
Jon Lester Cubs 14.7 4.00 5.8 45.8% 1.01 4.24 5.58 Reds 93 110 119
Kyle Freeland Rockies -0.2 4.77 5.5 52.3% 0.93 4.92 3.83 Giants 111 95 124
Kyle Gibson Twins -4 4.56 5.7 48.8% 1.05 4.34 4.06 Brewers 93 96 117
Marco Estrada Blue Jays -2.7 4.62 5.7 29.6% 1.04 5.28 5.84 Athletics 112 109 130
Matt Moore Rangers 4.77 5.6 37.3% 0.98 5.37 4.47 White Sox 91 81 68
Max Fried Braves 4.5 4.19 4.5 60.2% 0.99 4.01 2.63 Marlins 67 94 106
Max Scherzer Nationals -5 2.87 6.6 33.9% 1.01 3.07 1.15 Dodgers 100 103 92
Michael Fulmer Tigers 4 4.26 6.3 49.2% 0.92 4.04 3.97 Mariners 97 101 98
Michael Wacha Cardinals 1.2 4.26 5.4 46.6% 0.92 3.79 4.19 Phillies 86 98 116
Mike Clevinger Indians 11.8 4.32 5.3 41.1% 0.87 4.24 3.31 Astros 87 101 71
Nick Tropeano Angels 3.7 4.56 5.6 36.7% 0.93 5.24 6.71 Rays 107 101 116
Ross Stripling Dodgers -3.6 3.66 4.7 49.5% 1.01 3.50 2.54 Nationals 97 106 104
Tyson Ross Padres -6.6 4.97 5.2 45.6% 0.98 4.45 3.98 Pirates 123 103 137
Zack Godley Diamondbacks 8.4 3.88 5.9 54.2% 0.92 3.37 4.71 Mets 98 106 126


Blake Snell allowed five runs (three home runs) and struck out just three Orioles in 3.1 innings his last time out. It was the first time he’d allowed more than two runs or gone less than six innings since his second start of the season. He has now struck out just 12 of his last 69 batters, but still has an above average SwStr% in every start this season. More than one-third of his pitches were change-ups (.305 wOBA, .365 xwOBA, 25.6 Whff%) in his last start, a season high against a predominantly right-handed lineup. It may be a similar approach against a similarly oriented offense, but perhaps the curveball would be the superior option as it seems the much better pitch (.186 wOBA, .123 xwOBA, 44.3 Whiff%). The Angels have just a 19 K% vs LHP, but it’s a negative run environment and they have been struggling.

C.C. Sabathia allowed a season-high four runs against the Red Sox last time out and failed to surpass five innings for the fourth time in seven starts, but it also snapped a streak of three straight starts of at least six innings. He misses bats often enough to be useful in the right spots, though this may or may not be such a spot considering the contrast in Kansas City’s strikeout rates against right and left-handed pitchers (22.8% vs the latter, which they do without a lot of walks or power). It’s a neutral overall matchup, but a great contact manager (84.6 mph aEV is third best today) in a power suppressing park. He’s one of six pitchers with a sub-.300 xwOBA.

Charlie Morton has brought a chair to the big boys table this season. He equals deGrom and trails only Scherzer by strikeout and swinging strike rates on today’s board and he’s combined that with great contact management. His 2.7% Barrels/BBE is best on the board. His .243 xwOBA is second. He struck out a season high 14 in his last start. He’s gone seven innings and struck out double-digit batters each three times over his last six starts with a couple of much rougher starts (9 IP – 7 ER – 3 HR – 9 BB – 5 K) in between. He faces the hottest offense in the league (142 wRC+, 3.7 K-BB% last seven days), but does so in one of the most negative run environments in baseball.

Jacob deGrom returned from a short DL stint (hyper-extended elbow) in spectacular fashion in Philadelphia. He threw 45 pitches, all in the first inning, walking three, striking out two and escaping without a run. Now that that’s out of the way, the only real concern here is that he hasn’t thrown more than 46 pitches since April 27th, but had been regularly surpassing 100 up until that point. His strikeouts and swinging strike are in league with Morton, behind only Scherzer today, but his .239 xwOBA and 23.3% 95+ mph aEV is best on the board. He had been on fire prior to the DL stint, combining elite swing and miss stuff with exceptional contact management. He also may have the top park adjusted matchup on the board. The Diamondbacks have a 25.3 K% against RHP and are the coldest offense on the board (29 wRC+, 30 K%, 5.4 HR/FB last seven days). His 2.96 xFIP at home since last season is the best split on the board.

Jake Arrieta has pitched into the seventh inning in four of his last six starts and gets batters to pound the ball into the ground (57.9 GB%) weakly (86.3 mph aEV), which has led to a 3.3% Barrels/BBE. However, he’s exceeded two strikeouts in just two of those six starts and has more than five just once this year. He seems content to throw sinker after sinker after sinker (62.5%) and allow a marginal defense to take care of the rest. The matchup is somewhat in his favor in St Louis. Right-handed batters have a 60.6 GB% and -2.8 Hard-Soft% against him this year, but just a 4.3 K-BB%.

Kyle Freeland has allowed a total of three runs in three road starts this year. He’s increased his strikeouts at the cost of some ground balls, but his extreme splits are what you really want to look at, especially as he’s likely to face a predominantly right-handed lineup in San Francisco tonight. His K-BB is 26.6 points higher against LHBs. His ground ball rate is 45.5% against RHBs this season, but with a 1.7 Hard-Soft%. He’s been one of the top contact managers on the board as a .301 xwOBA suggests. He’s an above average pitcher outside of Coors. The Giants haven’t been pushovers this year. The park still keeps this matchup in his favor though.

Kyle Gibson has finally embraced the strikeout with a decline in sinker usage this season at the age of 30. Actually, this began last year. He’s always missed bats at an acceptable rate at least, but this organization screwed him up with their previous pitch to contact philosophy. His 26.5 K% is fifth on the board. The matchup is not fantastic in a positive run environment and the Brewers gaining a DH, but the offense is banged up so it may end up being someone like Hernan Perez.

Max Scherzer has extra days rest after the rainout two days ago. He may want to pitch 10 innings tonight. He has at least seven strikeouts in every start and only that few his second time out, which is also the only time he did not finish six innings.

Michael Fulmer has been hit hard over his last two starts (10 IP – 11 ER – 3 HR – 6 BB – 12 K – 45 BF) in which his velocity has increased back up to last year’s levels. He has a 13.2 SwStr% over the last month and is even getting swings at more than 40% of pitches outside the strike zone in these last two starts, but that’s dropped the number of pitches he’s thrown inside the zone below 40%. Hence, the walks and then he starts throwing his sinker more in an attempt to generate ground balls. He has the stuff to figure it out, as the increased velocity and swinging strike rate suggests, and he’s facing a Seattle offense down their third and fourth hitters in a favorable park.

Michael Wacha has not allowed more than two runs in five straight starts, but has only pitched into the seventh once this season and only completed six three times while striking out more than five once as well. He’s missing bats at a league average rate and may be a league average arm as the sum of his estimators suggest, but you’re only going to get five to six innings of that. That may be enough in a negative run environment against an offense with a 26.3 K% vs RHP.

Mike Clevinger has struck out more than five just twice in eight starts this year. However, he’s cut his walk rate in half, has pitched into the seventh inning in five of his last seven starts, and has an 11% or better swinging strike rate in each of his last six starts. Also, those two outings with more than five strikeouts have come in his last three starts. He’s probably not as good as his ERA. There are going to be some home runs, but it looks like he set out to correct an issue (his walk rate) and has done so, while he’s now comfortably gaining back the swings and misses too. Cleveland just keeps churning out quality pitchers. The matchup should be a concern, except that it’s really not been this year. Houston is an extremely negative run environment and the Astros have been just league average against RHP.

Zack Godley hasn’t been bad, but he has taken a step back. Perhaps more of one than people think when considering the humidor effects. Oddly, he’s faced the Dodgers in half of his eight starts and despite their struggles this year, it’s still a good offense and that kind of familiarity has to cause some issues. His Z-Contact% is highest on the board (92.9%), which is where the decrease in SwStr% comes from, but he’s still missing bats at an average rate and generating grounders on more than 50% of batted balls. He’s also facing a Mets offense down a couple of middle of the order bats, both right-handed, a side which he’s actually performed slightly worse against in his career and this season.

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 usually extreme BABIP, LOB, and/or HR/FB deviation from the norm.

League AVG (.287 BABIP – 72.8 LOB% – 13.4 HR/FB)

Ross Stripling (.350 – 88.4% – 6.7) pitched into the sixth inning in his second consecutive start last time out, but his starts have come against Arizona, San Diego and Cincinnati, all in negative run environments (which Arizona may be now). He hasn’t been bad, as his .267 xwOBA attests to, and could be of some value for just $4.2K on DraftKings if paying up for his opponent, if you don’t consider that counter-productive, but this will be his most challenging spot do date.

Nick Tropeano (.253 – 75.5 – 8.8) throws a bunch of different fastballs (four-seam, sinker, splitter), but that’s the majority of his arsenal and could be a problem against this Tampa Bay offense that has handled the heater quite well.

Jon Lester (.266 – 81.5% – 10.4) is a strand rate away from an ERA close to five with an 8.5 K-BB% this season. The Cincinnati offense has been proficient against LHP.

Jakob Junis (.226 – 88.7% – 16.7) has completed seven innings in half of his starts, but is in a dangerous spot against the Yankees. Kansas City plays well for fly ball pitchers, but he’s still allowed nine of his 11 home runs at home in four starts this year.

Dan Straily (.211 – 81.5% – 23.5) is a mess, but probably isn’t this bad. Keep in mind that his estimators are well above a terrible ERA at this point. An 8.68 FIP and .450 xwOBA are among the worst numbers ever seen. Even Chris Tillman won’t talk to him.

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

Ivan Nova has been awful in recent starts (12.1 IP – 25 H – 14 ER – 4 HR – 4 BB – 9 BB – .484 wOBA – 41.5 Hard%), but may merit some consideration on DraftKings at $6.4K against the Padres (26.9 K% vs RHP).

Tyson Ross is a surprise, at least to me, in this spot. He’s been a guy who’s made sharp DFS players some money this year. He’s completed six innings in all, but one start, but has out-pitched his SwStr% over the last month and now costs $9.5K on DraftKings in what may be a terrible spot. Look at how good the Pirates have been, plus they don’t strike out.

Felix Hernandez faces the Tigers, which may give people some ideas. Then the numbers (37.8 GB%, 10 HRs, 10.1 BB%, 92.2 Z-Contact%) confirm what his ERA and estimators say about him. Even the matchup (which is not high strikeout by the way) and low cost probably don’t get him there today.

Max Fried could become interesting at some point in time and nearly is here against the Marlins for the minimum cost, but has not thrown more than four innings in any outing (minors or majors) in exactly a month. A path to five useful innings is conceivable though, if that’s what you’re looking to pair with Scherzer.

Brent Suter has the lowest aEV on the board (84 mph), but has not exceeded five innings or a 6.7 SwStr% in five starts.

Matt Moore has been absolutely awful pitching in Texas and with road starts in Houston, Cleveland, Toronto and Tampa Bay. He was actually quite decent with seven innings and no earned runs (six strikeouts) in that Tampa Bay start. The point being a 10.6 SwStr% and, finally, a decent spot keeps him off the absolute bottom of the board, even if we still have absolutely no intention of using him.

Derek Holland is coming off his best start by results (6.1 IP – 0 ER – 7 K), but walked five in that game. A great park has made him look competent this year and could do so again, but he’s still not a pitcher you should want to use, especially attacking the Rockies from their more competent side as well.

Drew Pomeranz looked like things may have started coming together in recent starts, but then…no. He walked a season-high five last time out and lasted just four innings in Toronto. The strikeouts aren’t real (7.1 SwStr%) and the velocity remains down over two miles per hour. His 13.1% Barrels/BBE is third worst on the board.

Homer Bailey

Marco Estrada

Alex Cobb

Brett Anderson

Carson Fulmer

Peripherals (Pitcher)

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

Pitcher Team Split K% BB% HR/FB Hd-St% Split K% BB% HR/FB Hd-St% Split K% BB% HR/FB Hd-St% Split K% BB% HR/FB Hd-St%
Alex Cobb Orioles L2 Yrs 16.2% 5.8% 14.9% 20.6% Season 11.4% 4.3% 20.0% 19.5% Road 14.3% 6.5% 14.4% 22.1% L14Days 21.3% 2.1% 16.7% 13.9%
Blake Snell Rays L2 Yrs 23.3% 11.0% 10.1% 12.1% Season 25.7% 7.8% 13.8% 12.4% Road 20.9% 11.7% 13.3% 11.9% L14Days 18.2% 9.1% 36.4% 21.9%
Brent Suter Brewers L2 Yrs 17.7% 5.8% 12.0% 9.3% Season 16.2% 4.9% 14.6% 15.2% Road 15.5% 5.2% 9.3% 7.7% L14Days 16.0% 4.0% 28.6% 43.6%
Brett Anderson Athletics L2 Yrs 13.4% 8.1% 17.9% 14.4% Season 11.8% 8.8% 21.4% 16.6% Road 15.3% 9.3% 13.3% 10.9% L14Days 9.1% 11.4% 28.6% 14.3%
Carson Fulmer White Sox L2 Yrs 18.6% 13.0% 15.1% 12.5% Season 18.4% 12.9% 17.0% 17.4% Home 21.4% 13.0% 20.0% 13.2% L14Days 27.3% 18.2% 55.6% 29.4%
CC Sabathia Yankees L2 Yrs 19.7% 7.6% 14.8% 2.0% Season 18.8% 3.4% 9.3% 0.9% Road 17.4% 8.3% 12.5% -3.3% L14Days 29.3% 10.0% -10.4%
Charlie Morton Astros L2 Yrs 27.8% 8.3% 14.4% 3.8% Season 32.3% 8.9% 22.2% Home 28.7% 8.4% 18.9% 2.1% L14Days 36.2% 8.5% 28.6% 16.0%
Dan Straily Marlins L2 Yrs 21.0% 8.6% 13.0% 17.5% Season 12.9% 17.7% 23.5% 42.9% Road 21.9% 6.7% 15.6% 12.3% L14Days 16.7% 16.7% 25.0% 40.8%
Derek Holland Giants L2 Yrs 17.1% 10.6% 15.5% 18.8% Season 22.3% 10.9% 12.5% 23.9% Home 19.1% 12.9% 14.3% 19.7% L14Days 20.4% 14.3% 12.5% 25.0%
Drew Pomeranz Red Sox L2 Yrs 24.0% 9.2% 13.5% 12.8% Season 23.4% 11.7% 16.7% 25.0% Home 24.1% 8.3% 13.1% 17.1% L14Days 26.1% 15.2% 15.4% 11.1%
Felix Hernandez Mariners L2 Yrs 19.8% 8.9% 18.6% 13.6% Season 20.6% 10.1% 18.2% 15.2% Home 22.4% 9.0% 19.1% 9.7% L14Days 21.8% 10.9% 21.4% 22.9%
Homer Bailey Reds L2 Yrs 16.5% 8.6% 14.6% 17.7% Season 13.4% 6.9% 17.4% 24.5% Home 13.6% 7.8% 17.4% 18.9% L14Days 14.6% 6.3% 26.7% 23.6%
Ivan Nova Pirates L2 Yrs 18.0% 4.4% 15.9% 18.1% Season 17.8% 3.7% 15.7% 20.6% Home 15.0% 3.7% 10.5% 14.6% L14Days 10.5% 5.3% 22.2% 31.3%
Jacob deGrom Mets L2 Yrs 28.4% 6.9% 14.4% 8.9% Season 32.0% 8.0% 6.9% -5.8% Home 32.2% 8.1% 12.2% 6.7% L14Days 33.3% 50.0% -100.0%
Jake Arrieta Phillies L2 Yrs 22.3% 8.7% 12.5% 6.2% Season 16.5% 8.5% 5.7% Road 21.6% 8.3% 16.3% 10.5% L14Days 14.9% 8.5% 7.1%
Jakob Junis Royals L2 Yrs 19.9% 5.7% 13.8% 18.6% Season 21.7% 5.3% 16.7% 16.2% Home 22.0% 6.1% 18.2% 19.4% L14Days 27.8% 5.6% 11.8% 33.3%
Jon Lester Cubs L2 Yrs 23.4% 7.8% 13.8% 8.9% Season 19.2% 10.6% 10.4% 18.6% Road 21.2% 9.1% 15.2% 10.6% L14Days 19.6% 15.2% 7.7% 40.0%
Kyle Freeland Rockies L2 Yrs 17.1% 9.1% 11.9% 6.7% Season 22.6% 8.7% 10.2% 3.0% Road 15.5% 8.7% 13.1% 11.7% L14Days 26.4% 9.4%
Kyle Gibson Twins L2 Yrs 18.4% 8.7% 15.4% 18.8% Season 26.5% 11.6% 5.4% 25.2% Home 17.9% 8.5% 18.1% 23.5% L14Days 26.9% 11.5% 25.0%
Marco Estrada Blue Jays L2 Yrs 21.7% 8.7% 11.3% 8.2% Season 18.1% 8.0% 13.2% 16.5% Home 20.9% 9.2% 11.6% 8.7% L14Days 16.7% 10.4% 5.0% 22.8%
Matt Moore Rangers L2 Yrs 19.1% 8.8% 10.4% 19.7% Season 14.8% 9.5% 10.5% 37.9% Road 17.6% 10.0% 14.9% 23.9% L14Days 21.7% 10.9% 20.0% 41.9%
Max Fried Braves L2 Yrs 19.7% 10.2% 28.6% 14.1% Season 26.9% 11.5% 42.9% 43.7% Home 15.9% 6.8% 33.3% 18.1% L14Days 33.3% 8.3% 33.3% 14.3%
Max Scherzer Nationals L2 Yrs 34.1% 6.4% 9.8% 8.6% Season 40.4% 5.8% 6.8% 11.9% Home 36.1% 6.6% 10.3% 3.7% L14Days 51.0% 3.9% 11.1% 22.8%
Michael Fulmer Tigers L2 Yrs 18.5% 6.2% 10.0% 11.7% Season 20.2% 7.8% 16.7% 18.4% Road 19.1% 7.0% 12.2% 4.6% L14Days 26.7% 13.3% 42.9% 48.2%
Michael Wacha Cardinals L2 Yrs 20.8% 7.9% 11.5% 10.6% Season 19.5% 10.3% 8.3% 24.0% Home 22.3% 7.8% 7.2% 10.7% L14Days 22.2% 8.9% 9.1% 25.8%
Mike Clevinger Indians L2 Yrs 24.5% 10.9% 10.4% 14.1% Season 21.2% 6.7% 3.9% 12.0% Road 26.5% 12.2% 3.8% 17.1% L14Days 27.3% 7.3% 25.0%
Nick Tropeano Angels L2 Yrs 20.7% 9.4% 13.5% 27.7% Season 18.8% 10.3% 8.8% 32.9% Home 14.7% 10.3% 9.1% 25.4% L14Days 8.3% 12.5% 26.3%
Ross Stripling Dodgers L2 Yrs 21.9% 6.3% 13.5% 9.2% Season 25.4% 7.4% 6.7% 7.4% Road 24.0% 7.2% 21.4% 9.1% L14Days 31.0% 4.8% 7.4%
Tyson Ross Padres L2 Yrs 20.4% 12.6% 12.4% 19.3% Season 26.6% 9.1% 11.4% 21.4% Road 26.3% 12.9% 10.4% 17.0% L14Days 25.5% 9.8% 20.0% 34.3%
Zack Godley Diamondbacks L2 Yrs 23.1% 8.4% 16.6% 12.7% Season 21.6% 9.6% 16.7% 7.3% Road 25.1% 9.6% 14.3% 8.3% L14Days 18.9% 9.4% 26.7% 7.8%

Peripherals (Opponent)

OpTm Split K% BB% HR/FB Hd-St% Split K% BB% HR/FB Hd-St% Split K% BB% HR/FB Hd-St%
Red Sox Home 18.0% 7.8% 12.1% 18.7% RH 18.5% 7.9% 14.6% 21.2% L7Days 19.6% 6.6% 14.5% 17.1%
Angels Home 21.6% 9.1% 12.8% 21.1% LH 19.0% 9.9% 14.0% 13.7% L7Days 23.6% 10.8% 6.5% 22.1%
Twins Home 21.6% 9.2% 8.5% 17.7% LH 24.9% 8.4% 8.3% 7.1% L7Days 22.9% 7.6% 7.6% 23.9%
Blue Jays Home 23.8% 9.2% 14.8% 14.9% LH 22.8% 9.0% 12.9% 15.9% L7Days 27.9% 10.7% 10.5% 10.1%
Rangers Road 26.9% 6.1% 16.2% 18.1% RH 26.4% 7.7% 14.3% 21.7% L7Days 28.9% 6.2% 7.5% 7.0%
Royals Home 17.8% 8.2% 6.8% 23.0% LH 22.8% 7.2% 9.3% 16.7% L7Days 17.6% 5.7% 3.9% 28.9%
Indians Road 24.0% 7.5% 14.0% 17.3% RH 23.8% 8.2% 15.2% 22.7% L7Days 15.4% 11.7% 17.4% 29.7%
Braves Home 19.5% 9.3% 10.1% 19.3% RH 20.4% 9.4% 12.0% 16.2% L7Days 19.1% 13.0% 20.4% 36.2%
Rockies Road 24.0% 9.2% 15.7% 10.6% LH 24.9% 9.7% 19.5% 16.8% L7Days 22.4% 8.3% 16.7% 14.3%
Orioles Road 28.1% 7.3% 12.0% 15.5% LH 23.5% 9.3% 15.2% 14.4% L7Days 20.6% 6.1% 22.6% 14.1%
Tigers Road 21.3% 7.0% 8.5% 17.6% RH 20.9% 6.6% 8.9% 22.4% L7Days 19.4% 5.5% 11.1% 25.2%
Cubs Road 22.9% 8.5% 10.3% 16.2% RH 21.1% 8.8% 11.6% 10.6% L7Days 21.0% 13.9% 12.7% 15.8%
Padres Road 28.3% 6.9% 11.6% 11.5% RH 26.9% 8.8% 9.9% 15.6% L7Days 25.1% 9.1% 7.0% 15.1%
Diamondbacks Road 25.2% 9.8% 16.8% 13.2% RH 25.3% 10.5% 10.5% 15.1% L7Days 30.0% 7.2% 5.4% 23.3%
Cardinals Home 21.5% 10.1% 11.3% 21.0% RH 23.4% 9.3% 13.9% 19.6% L7Days 22.8% 8.9% 13.7% 26.9%
Yankees Road 25.6% 8.6% 12.1% 10.9% RH 23.4% 11.5% 14.7% 18.5% L7Days 17.7% 13.3% 17.5% 24.1%
Reds Home 21.5% 10.6% 13.3% 18.7% LH 20.6% 10.4% 13.0% 20.4% L7Days 18.8% 6.3% 21.3% 19.3%
Giants Home 22.9% 8.4% 12.0% 25.3% LH 24.6% 9.2% 13.3% 21.9% L7Days 23.0% 7.3% 11.9% 31.6%
Brewers Road 20.5% 7.6% 14.6% 13.6% RH 24.3% 8.1% 16.4% 15.9% L7Days 23.4% 7.1% 23.8% 24.8%
Athletics Road 24.5% 8.2% 18.3% 23.5% RH 23.9% 9.8% 15.5% 23.9% L7Days 22.8% 10.4% 20.3% 16.8%
White Sox Home 25.5% 7.4% 10.7% 7.2% LH 27.0% 7.8% 15.2% 23.8% L7Days 21.7% 8.3% 6.7% 6.0%
Marlins Road 26.0% 7.9% 12.1% 7.1% LH 20.2% 10.5% 8.8% 8.2% L7Days 23.0% 6.5% 11.9% 12.6%
Dodgers Road 19.8% 10.4% 9.2% 19.5% RH 21.6% 9.1% 11.5% 13.7% L7Days 20.9% 6.7% 11.0% 21.1%
Mariners Home 23.2% 6.6% 12.7% 8.3% RH 20.3% 7.1% 14.1% 18.0% L7Days 20.8% 7.2% 7.9% 24.4%
Phillies Road 25.4% 10.4% 9.4% 9.6% RH 26.3% 10.2% 12.7% 10.3% L7Days 20.4% 10.5% 15.4% 0.0%
Astros Home 23.5% 8.7% 13.6% 11.3% RH 21.6% 9.8% 10.5% 14.7% L7Days 21.5% 7.7% 10.3% 22.9%
Rays Road 21.5% 7.9% 11.2% 12.5% RH 21.4% 8.2% 9.5% 16.3% L7Days 18.8% 6.8% 10.1% 16.7%
Nationals Home 21.2% 11.3% 15.9% 11.1% RH 19.7% 11.1% 15.9% 14.9% L7Days 15.9% 7.6% 20.0% 26.0%
Pirates Home 18.3% 10.6% 9.4% 6.6% RH 19.9% 8.5% 10.1% 8.8% L7Days 22.2% 10.7% 12.5% 8.9%
Mets Home 23.8% 9.3% 8.1% 11.5% RH 22.2% 9.2% 12.9% 14.2% L7Days 20.9% 6.1% 12.2% 3.7%

K/SwStr Chart (2018 LG AVG – 21.8 K% – 10.1 SwStr% – 2.16 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%
Alex Cobb Orioles 11.4% 5.9% 1.93 13.3% 6.6% 2.02
Blake Snell Rays 25.7% 13.5% 1.90 22.3% 13.5% 1.65
Brent Suter Brewers 16.2% 7.3% 2.22 16.0% 5.4% 2.96
Brett Anderson Athletics 11.8% 8.8% 1.34 11.8% 8.8% 1.34
Carson Fulmer White Sox 18.4% 6.7% 2.75 18.2% 6.5% 2.80
CC Sabathia Yankees 18.8% 10.3% 1.83 19.1% 9.5% 2.01
Charlie Morton Astros 32.3% 13.8% 2.34 31.6% 12.0% 2.63
Dan Straily Marlins 12.9% 10.1% 1.28 12.9% 10.1% 1.28
Derek Holland Giants 22.3% 7.9% 2.82 20.7% 8.7% 2.38
Drew Pomeranz Red Sox 23.4% 7.1% 3.30 23.4% 7.1% 3.30
Felix Hernandez Mariners 20.6% 8.0% 2.58 23.8% 8.1% 2.94
Homer Bailey Reds 13.4% 7.1% 1.89 10.9% 6.8% 1.60
Ivan Nova Pirates 17.8% 9.4% 1.89 14.4% 8.0% 1.80
Jacob deGrom Mets 32.0% 14.8% 2.16 35.1% 15.1% 2.32
Jake Arrieta Phillies 16.5% 6.3% 2.62 17.7% 6.5% 2.72
Jakob Junis Royals 21.7% 9.5% 2.28 21.6% 9.1% 2.37
Jon Lester Cubs 19.2% 9.7% 1.98 20.5% 8.8% 2.33
Kyle Freeland Rockies 22.6% 10.4% 2.17 23.0% 11.7% 1.97
Kyle Gibson Twins 26.5% 12.4% 2.14 30.8% 14.0% 2.20
Marco Estrada Blue Jays 18.1% 9.7% 1.87 17.2% 8.1% 2.12
Matt Moore Rangers 14.8% 9.5% 1.56 15.2% 10.6% 1.43
Max Fried Braves 26.9% 12.8% 2.10 26.9% 12.8% 2.10
Max Scherzer Nationals 40.4% 17.6% 2.30 42.1% 17.1% 2.46
Michael Fulmer Tigers 20.2% 11.0% 1.84 24.6% 13.2% 1.86
Michael Wacha Cardinals 19.5% 9.6% 2.03 20.5% 10.8% 1.90
Mike Clevinger Indians 21.2% 11.8% 1.80 21.4% 13.2% 1.62
Nick Tropeano Angels 18.8% 10.4% 1.81 17.6% 10.4% 1.69
Ross Stripling Dodgers 25.4% 9.2% 2.76 26.9% 11.4% 2.36
Tyson Ross Padres 26.6% 10.3% 2.58 31.5% 10.9% 2.89
Zack Godley Diamondbacks 21.6% 10.4% 2.08 21.4% 9.2% 2.33


Without much interest in any of the guys who are out of line, there’s not much to talk about here today. Increases over the last month have been noted in other spots.

ERA Estimators Chart (2018 LG AVG – 4.22 ERA – 4.20 SIERA – 4.17 xFIP – 4.29 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
Alex Cobb Orioles 7.06 4.49 -2.57 7.06 -2.62 5.43 -1.63 8.46 1.40 5.61 4.04 -1.57 4.13 -1.48 4.62 -0.99
Blake Snell Rays 3.12 3.75 0.63 3.12 0.73 4.03 0.91 2.86 -0.26 3.23 3.83 0.60 3.84 0.61 4.09 0.86
Brent Suter Brewers 5.14 4.51 -0.63 5.14 -0.77 4.67 -0.47 5.69 0.55 5.40 4.41 -0.99 4.34 -1.06 6.05 0.65
Brett Anderson Athletics 8.16 5.00 -3.16 8.16 -3.28 6.00 -2.16 8.69 0.53 8.16 5.01 -3.15 4.88 -3.28 6.00 -2.16
Carson Fulmer White Sox 6.23 5.39 -0.84 6.23 -0.16 6.97 0.74 10.00 3.77 6.97 5.52 -1.45 6.29 -0.68 8.32 1.35
CC Sabathia Yankees 2.23 3.98 1.75 2.23 1.88 3.61 1.38 3.49 1.26 1.65 3.86 2.21 3.96 2.31 2.52 0.87
Charlie Morton Astros 2.03 2.94 0.91 2.03 0.71 3.43 1.40 1.74 -0.29 2.64 3.11 0.47 2.86 0.22 3.60 0.96
Dan Straily Marlins 5.54 6.85 1.31 5.54 1.28 8.68 3.14 6.21 0.67 5.54 6.85 1.31 6.82 1.28 8.68 3.14
Derek Holland Giants 4.79 4.59 -0.20 4.79 0.06 4.84 0.05 5.76 0.97 4.91 4.88 -0.03 5.04 0.13 5.91 1.00
Drew Pomeranz Red Sox 5.47 4.49 -0.98 5.47 -0.87 5.25 -0.22 5.94 0.47 5.47 4.50 -0.97 4.6 -0.87 5.25 -0.22
Felix Hernandez Mariners 5.66 4.60 -1.06 5.66 -0.88 5.60 -0.06 5.88 0.22 5.79 4.36 -1.43 4.46 -1.33 5.14 -0.65
Homer Bailey Reds 5.59 5.18 -0.41 5.59 -0.32 6.17 0.58 5.74 0.15 7.66 5.45 -2.21 5.59 -2.07 8.21 0.55
Ivan Nova Pirates 5.01 3.97 -1.04 5.01 -1.16 4.26 -0.75 4.12 -0.89 5.13 4.08 -1.05 3.67 -1.46 4.28 -0.85
Jacob deGrom Mets 1.83 3.01 1.18 1.83 0.87 2.22 0.39 2.20 0.37 0.00 3.12 3.12 2.71 2.71 1.70 1.70
Jake Arrieta Phillies 2.59 4.47 1.88 2.59 1.64 3.48 0.89 4.16 1.57 2.32 4.47 2.15 4.23 1.91 3.18 0.86
Jakob Junis Royals 3.53 3.97 0.44 3.53 0.79 5.01 1.48 4.84 1.31 4.45 3.95 -0.50 4.12 -0.33 5.22 0.77
Jon Lester Cubs 2.66 4.86 2.20 2.66 2.20 4.55 1.89 4.05 1.39 1.82 4.89 3.07 5.07 3.25 4.73 2.91
Kyle Freeland Rockies 3.42 4.14 0.72 3.42 0.63 3.74 0.32 2.70 -0.72 2.87 3.99 1.12 3.87 1.00 2.67 -0.20
Kyle Gibson Twins 3.43 4.05 0.62 3.43 0.44 3.10 -0.33 4.22 0.79 3.30 3.37 0.07 3.22 -0.08 2.94 -0.36
Marco Estrada Blue Jays 5.32 5.12 -0.20 5.32 0.12 5.58 0.26 8.02 2.70 6.00 5.34 -0.66 5.58 -0.42 5.92 -0.08
Matt Moore Rangers 7.82 5.27 -2.55 7.82 -2.04 5.38 -2.44 8.55 0.73 7.36 5.00 -2.36 5.28 -2.08 5.72 -1.64
Max Fried Braves 6.00 3.75 -2.25 6.00 -1.78 8.81 2.81 4.88 -1.12 6.00 3.75 -2.25 4.22 -1.78 8.81 2.81
Max Scherzer Nationals 1.69 2.12 0.43 1.69 0.81 1.75 0.06 1.35 -0.34 1.99 2.11 0.12 2.38 0.39 1.75 -0.24
Michael Fulmer Tigers 4.37 4.12 -0.25 4.37 -0.46 4.34 -0.03 4.82 0.45 4.66 3.73 -0.93 3.45 -1.21 4.01 -0.65
Michael Wacha Cardinals 3.09 4.65 1.56 3.09 1.13 3.76 0.67 4.07 0.98 1.86 4.18 2.32 3.77 1.91 2.87 1.01
Mike Clevinger Indians 2.70 4.01 1.31 2.70 1.14 2.77 0.07 3.01 0.31 2.70 3.85 1.15 3.63 0.93 2.52 -0.18
Nick Tropeano Angels 3.64 4.88 1.24 3.64 1.21 4.29 0.65 4.29 0.65 4.70 5.15 0.45 5.18 0.48 4.88 0.18
Ross Stripling Dodgers 2.20 3.49 1.29 2.20 1.43 2.83 0.63 2.55 0.35 2.95 3.58 0.63 3.6 0.65 3.42 0.47
Tyson Ross Padres 3.40 3.67 0.27 3.40 -0.02 3.27 -0.13 3.58 0.18 3.34 3.54 0.20 3.3 -0.04 2.91 -0.43
Zack Godley Diamondbacks 4.08 4.14 0.06 4.08 -0.29 4.20 0.12 3.88 -0.20 4.76 4.27 -0.49 3.95 -0.81 4.80 0.04


Blake Snell has a .233 BABIP and 84.1 LOB% that will regress.

C.C. Sabathia has a .255 BABIP and four of his 13 runs allowed have been unearned this season.

Charlie Morton has an exceptionally odd line that includes a .231 BABIP, 91.4 LOB% and 22.2 HR/FB. The strand rate is the easy regression candidate. The home run rate, well, between the strikeouts and ground balls, he’s only allowed 27 fly balls this year.

Jacob deGrom has an 83.7 LOB%, partially due to his magic trick in his return from the DL. Perhaps that drops a few points with a 6.9 HR/FB that’s also likely to rise, but the stuff has been incredible when he’s on.

Jake Arrieta has a .231 BABIP and 5.7 HR/FB. That’s probably not sustainable, but there’s a willingness to meet him in some middle ground below his estimators due to strong contact management skills exhibited across several seasons.

Michael Wacha has a 76.6 HR/FB that’s not absurd, but four points above his career rate and an 8.3 HR/FB. It’s been 11+ in each of the last three years.

Mike Clevinger has a 3.9 HR/FB, which is why his FIP matches his ERA.

BABIP & Statcast Chart (2018 LG AVG – .287 BABIP – 43.1 GB% – 21.1 LD% – 10.1 IFFB% – 86.1 Z-Contact% – 36.5 Z-O-Swing%)

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% LD% IFFB% Z-contact% Z-O-Swing%
Alex Cobb Orioles 0.323 0.384 0.061 53.8% 20.5% 6.7% 91.6% 40.1%
Blake Snell Rays 0.283 0.233 -0.050 37.0% 20.0% 10.3% 82.3% 35.6%
Brent Suter Brewers 0.267 0.307 0.040 31.9% 33.3% 18.8% 89.6% 31.6%
Brett Anderson Athletics 0.292 0.392 0.100 55.6% 18.5% 21.4% 88.1% 41.6%
Carson Fulmer White Sox 0.298 0.289 -0.009 31.6% 20.4% 8.5% 91.1% 40.6%
CC Sabathia Yankees 0.286 0.255 -0.031 45.6% 16.7% 16.3% 89.7% 30.9%
Charlie Morton Astros 0.261 0.231 -0.030 57.8% 17.4% 18.5% 77.4% 32.5%
Dan Straily Marlins 0.296 0.211 -0.085 29.3% 29.3% 5.9% 87.7% 46.5%
Derek Holland Giants 0.290 0.245 -0.045 35.7% 15.7% 17.9% 88.9% 43.8%
Drew Pomeranz Red Sox 0.290 0.343 0.053 37.5% 20.8% 0.0% 92.6% 37.8%
Felix Hernandez Mariners 0.303 0.279 -0.024 37.8% 23.8% 5.5% 92.2% 30.1%
Homer Bailey Reds 0.294 0.270 -0.024 37.8% 20.1% 8.7% 91.7% 39.9%
Ivan Nova Pirates 0.298 0.321 0.023 47.6% 22.0% 9.8% 87.5% 36.2%
Jacob deGrom Mets 0.299 0.294 -0.005 45.5% 25.7% 27.6% 78.0% 36.3%
Jake Arrieta Phillies 0.287 0.231 -0.056 57.9% 13.2% 14.3% 87.5% 29.4%
Jakob Junis Royals 0.307 0.226 -0.081 37.8% 17.6% 10.6% 90.2% 29.8%
Jon Lester Cubs 0.266 0.266 0.000 37.6% 24.0% 4.2% 84.8% 39.2%
Kyle Freeland Rockies 0.295 0.264 -0.031 46.2% 16.2% 8.2% 84.9% 35.2%
Kyle Gibson Twins 0.297 0.265 -0.032 46.9% 20.4% 13.5% 87.1% 34.5%
Marco Estrada Blue Jays 0.316 0.295 -0.021 24.5% 20.9% 15.8% 85.5% 43.1%
Matt Moore Rangers 0.306 0.388 0.082 38.6% 20.7% 8.8% 89.7% 37.3%
Max Fried Braves 0.293 0.154 -0.139 33.3% 20.0% 0.0% 88.5% 27.2%
Max Scherzer Nationals 0.278 0.272 -0.006 32.2% 16.5% 13.6% 71.5% 35.8%
Michael Fulmer Tigers 0.290 0.300 0.010 49.6% 22.9% 11.1% 86.2% 36.7%
Michael Wacha Cardinals 0.291 0.286 -0.005 41.7% 29.9% 5.6% 81.4% 44.0%
Mike Clevinger Indians 0.273 0.277 0.004 47.6% 17.7% 7.8% 85.8% 36.3%
Nick Tropeano Angels 0.296 0.253 -0.043 36.6% 22.0% 8.8% 84.5% 41.2%
Ross Stripling Dodgers 0.305 0.350 0.045 42.5% 20.0% 20.0% 90.5% 31.4%
Tyson Ross Padres 0.310 0.270 -0.040 44.0% 28.0% 2.9% 87.3% 28.8%
Zack Godley Diamondbacks 0.269 0.313 0.044 51.9% 21.5% 19.4% 92.9% 30.9%


C.C. Sabathia probably has some regression in his BABIP, but the profile has been great and that 30.9 Z-O-Swing% is a major reason for the quality of contact he allows.

Charlie Morton is not that far away from the BABIP allowed by his team and the profile has been exceptional: lots of ground balls, few line drives, some popups and the second best Z-Contact rate on the board. He may only regress here as far as the defense does.

StatCast Chart

All stats from BaseballSavant.com.

Player Team xwOBA wOBA-xwOBA xwOBA
H/A
wOBA-xwOBA
H/A
xwOBA
L30 Days
wOBA-xwOBA
L30 Days
Effective
Velocity
Exit Velocity Barrels BBE 95+ MPH
ExV
BBE
Alex Cobb Orioles 0.357 0.070 0.356 -0.001 0.357 0.070 -1.900 90.2 6.8 45.800 118
Blake Snell Rays 0.322 -0.042 0.335 -0.002 0.326 -0.040 0.200 86 6.5 25.200 123
Brent Suter Brewers 0.352 -0.006 0.318 -0.013 0.365 -0.002 0.800 84 7.6 28.500 144
Brett Anderson Athletics 0.408 0.025 0.365 -0.046 0.408 0.025 -1.000 93.8 13.9 52.800 36
Carson Fulmer White Sox 0.438 -0.049 0.412 -0.024 0.440 -0.013 -0.500 91.1 14.3 46.900 98
CC Sabathia Yankees 0.273 -0.003 0.305 -0.006 0.226 0.012 0.600 84.6 5.3 27.200 114
Charlie Morton Astros 0.243 0.010 0.282 0.005 0.243 0.021 -0.900 85.8 2.7 25.500 110
Dan Straily Marlins 0.450 -0.045 0.323 0.016 0.450 -0.045 -0.300 90.3 7.1 47.600 42
Derek Holland Giants 0.364 -0.040 0.369 -0.019 0.399 -0.039 -0.900 91.1 11.8 46.100 102
Drew Pomeranz Red Sox 0.358 0.016 0.329 -0.012 0.358 0.016 -2.700 90.8 13.1 31.100 61
Felix Hernandez Mariners 0.377 -0.026 0.343 -0.032 0.367 -0.019 -0.300 88.6 9.7 37.900 145
Homer Bailey Reds 0.410 -0.047 0.383 0.009 0.391 0.022 -0.300 88.1 9.9 44.400 171
Ivan Nova Pirates 0.394 -0.053 0.349 -0.048 0.407 -0.064 -1.200 91.2 8.8 46.600 148
Jacob deGrom Mets 0.239 -0.002 0.251 0.021 0.217 0.002 1.000 84.5 2.9 23.300 103
Jake Arrieta Phillies 0.275 -0.023 0.326 -0.001 0.277 -0.031 -0.900 86.3 3.3 30.300 122
Jakob Junis Royals 0.350 -0.051 0.364 -0.034 0.378 -0.031 -1.000 89 12.8 33.100 148
Jon Lester Cubs 0.369 -0.061 0.331 -0.004 0.376 -0.096 -0.300 88.8 9.3 39.500 129
Kyle Freeland Rockies 0.301 -0.019 0.349 -0.007 0.279 -0.039 0.400 85.6 6.0 27.600 134
Kyle Gibson Twins 0.323 -0.053 0.371 -0.002 0.304 -0.042 0.600 88 6.1 42.600 115
Marco Estrada Blue Jays 0.374 -0.010 0.329 0.009 0.398 -0.007 -1.800 88.8 12.9 38.100 139
Matt Moore Rangers 0.400 0.011 0.377 0.026 0.408 0.011 -1.000 90.7 7.7 46.900 130
Max Fried Braves 0.335 0.056 0.374 -0.025 0.335 0.056 0.000
Max Scherzer Nationals 0.260 -0.028 0.239 0.008 0.255 -0.013 -0.800 87.8 8.5 39.800 118
Michael Fulmer Tigers 0.349 -0.023 0.303 0.007 0.342 -0.035 0.000 87.3 8.1 35.300 136
Michael Wacha Cardinals 0.366 -0.075 0.317 -0.020 0.342 -0.086 0.500 88 8.5 38.000 129
Mike Clevinger Indians 0.313 -0.049 0.270 -0.032 0.321 -0.086 0.300 86.3 7.3 29.300 150
Nick Tropeano Angels 0.367 -0.071 0.361 -0.075 0.377 -0.074 -1.800 89.4 7.3 39.000 82
Ross Stripling Dodgers 0.267 0.031 0.303 0.015 0.263 0.045 -0.800 85.8 3.7 26.800 82
Tyson Ross Padres 0.313 -0.044 0.328 -0.008 0.321 -0.068 -1.300 87.5 6.3 40.500 126
Zack Godley Diamondbacks 0.350 -0.028 0.307 0.001 0.365 0.005 -1.100 89 7.7 40.200 117


Aside from Ross Stripling mostly working out of the pen this year, the major xwOBA surprise below .300 is C.C. Sabathia this year. Perhaps Jake Arrieta too considering the lack of swings and misses. He needs to generate everything weakly on the ground, which he’s nearly accomplishing.

Max Scherzer does not have the lowest xwOBA on the board, nor the second best either. That, in itself, speaks significantly to how good the other two guys have been this year.

Pitcher Notes & Summary

Here we rank pitchers by value tiers with their overall rank in parenthesis next to the name for the top few. 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.

Just because there’s a lot of pitching doesn’t mean there’s a lot of good pitching, but the top guys are pretty great. Those three are far above everyone else, but that doesn’t mean there aren’t other reasonable choices. They just carry more risk.

Value Tier One

Jacob deGrom (2) has been one of the best pitchers in baseball this year. When you’re xwOBA is better than “(player-popup #max-scherzer)Max Scherzer”:/players/max-scherzer-10934’s, it’s a massive accomplishment. When healthy, he goes deep into games, but if there’s concerns about workload tonight, they should be relieved by a cost that does not surpass $10K in perhaps the top spot on the board.

Value Tier Two

Max Scherzer (1) costs nearly $2K more than the second most expensive pitcher. I rarely even look to see who he’s facing until I get down here. Hmm…it’s the Dodgers. Okay. deGrom’s price is the only thing keeping him from the top spot tonight.

Value Tier Three

Michael Fulmer (5t) hasn’t consistently show results, so this is more of a speculative play than a results based one, but considering the 13.2 SwStr% over the last month and Seattle’s current state of health, I see some upside in this spot at a low price. I’d even bump him up a tier for just $6.1K on DraftKings.

Charlie Morton (3) has been exceptional. He’s earned the price tag. Perhaps he’s not been exceptional in every start and the matchup may not be ideal, but that’s why he’s not higher on the board.

Mike Clevinger (4) has cut his walk rate in half, is going deep into games and is slowly pushing the whiff rate up. Sure, you’re concerned about a $9K price tag in this matchup in Houston, but perhaps we should be less so?

Blake Snell (5t) is in a fairly low upside spot and has allowed five home runs over three starts with a hard hit rate above 35% in each of those starts, but the swinging strike rate has remained in double digits each time out this season and he hasn’t walked more than two in a start in over a month. His cost ($8K) is very reasonable considering the talent.

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 Godley (5t) hasn’t been a league average arm by strikeout rate, ERA and estimators, which makes him an adequately priced arm in a marginal spot, until you consider that the Mets are down Cespedes and Frazier, which may give him a slight boost here.

C.C. Sabathia doesn’t have great upside, but would seem to have a high floor in this matchup as an elite contact manager for several seasons now in a park that suppresses power.

Jake Arrieta is likely going to give you innings and weak ground balls in a favorable situation. That may be enough to pay off $8K, but realize if it goes bad early, he may not be able to make up ground with strikeouts. What he believes to be best for his actual team, may not be the best approach for your fantasy lineup.
Michael Wacha is fine for five or six innings, which is really not that attractive for a price tag around $8K until you build in the extra strikeout potential against the Phillies.

Kyle Freeland is probably not someone I’m paying $9.3K against, even in San Francisco, as you’re more likely to get ground balls than strikeouts in this particular matchup. You may get seven innings of quality run prevention though, which may be acceptable for $1.5K less on FanDuel.

Kyle Gibson is probably not an All-Star and perhaps a bit expensive at $8.8K on DraftKings, but he’s now a quality pitcher (I’ve written about frustration with his approach for years), which makes his $7.6K cost on FanDuel reasonable in a marginal spot.

You can find me on twitter @FreelanceBBall for any questions, comments, or insults.

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.