Advanced Stats - Pitching: Monday, May 28th

A couple of things before we get to a full day of baseball, kicking off early on Monday. Today’s article will be a bit shorter than expected for a full slate as a service to readers because who has the time to pour through several thousand words when everything kicks off at 1pm ET? Due to the same circumstances, much of this is being written on Sunday afternoon and since I can’t see into the future, I may end up quoting stats that are slightly different on Monday. The numbers will be corrected and updated in the the morning, but that’s the explanation if I type something different than what appears in the tables. This shouldn’t be a factor for the pitchers themselves, who last pitched several days ago, only for opposing teams.

Pricing and slate information is only available for FanDuel at the time of this writing, so that’s what I’m basing off. DraftKings costs will be worked in at the bottom when it’s available. I’m going to go ahead and consider it one big slate for our purposes today. That means listing the first game of the NY/ATL double-header (the second game may or may not even end up being available). Right now that means not listing Brandon McCarthy. Should circumstances change where he is available on your chosen slate, consider his results over the last two starts in which he’s significantly decreased his fastball usage in favor of cutters and curves more than half the time.

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 Blue Jays -3.2 4.64 5.7 51.8% 1.10 5.41 5.89 Red Sox 122 119 96
Adam Plutko Indians 10.2 5.01 6.6 28.0% 1.06 4.77 6.07 White Sox 101 103 114
Alex Cobb Orioles -7.7 4.51 5.7 48.9% 0.99 3.79 5.02 Nationals 106 104 136
Andrew Suarez Giants -6.8 3.68 5.2 42.4% 1.33 3.86 4.76 Rockies 83 92 81
Brent Suter Brewers 7.3 4.32 5.0 41.4% 1.02 4.18 3.36 Cardinals 96 95 82
Brock Stewart Dodgers -4 4.87 4.1 41.7% 0.90 4.92 5.60 Phillies 82 95 81
Caleb Smith Marlins -3.3 3.98 4.7 30.0% 0.91 4.22 4.23 Padres 94 94 65
Chad Bettis Rockies -0.4 4.59 5.6 49.9% 1.33 4.18 4.47 Giants 86 100 83
Chad Kuhl Pirates -2.2 4.58 5.1 41.5% 0.98 4.50 3.63 Cubs 104 109 109
Chris Archer Rays -0.8 3.49 6.1 44.4% 0.96 3.81 4.73 Athletics 88 106 38
David Price Red Sox 4.8 3.91 6.3 42.9% 1.10 4.03 2.83 Blue Jays 93 91 79
Domingo German Yankees 4.6 3.87 4.7 44.4% 1.03 3.45 3.54 Astros 121 107 135
Doug Fister Rangers -0.9 4.68 5.5 47.1% 0.92 4.52 4.66 Mariners 97 101 79
Dylan Covey White Sox -4.3 5.35 5.1 50.0% 1.06 6.01 2.32 Indians 120 96 108
Eric Lauer Padres -5.5 4.78 4.5 33.3% 0.91 4.95 4.66 Marlins 71 86 72
Gio Gonzalez Nationals -6.4 4.20 5.9 47.2% 0.99 4.25 5.10 Orioles 99 91 64
Homer Bailey Reds -4.8 5.00 4.9 42.8% 1.00 4.84 6.15 Diamondbacks 75 64 38
Jacob deGrom Mets -0.1 3.31 6.3 45.3% 0.99 3.27 2.07 Braves 101 100 83
Jakob Junis Royals 1.4 4.24 5.9 40.1% 1.04 4.24 3.45 Twins 90 86 42
Justin Verlander Astros 9.5 3.55 6.5 32.7% 1.03 3.85 3.11 Yankees 121 120 126
Lance Lynn Twins -4 4.83 5.5 45.6% 1.04 4.67 3.93 Royals 86 85 78
Luke Weaver Cardinals -0.2 3.64 5.2 42.5% 1.02 3.24 3.09 Brewers 93 103 119
Marco Gonzales Mariners -4.8 3.97 4.8 45.7% 0.92 3.85 3.92 Rangers 78 96 125
Matt Boyd Tigers 1.2 4.67 5.3 36.9% 1.07 5.05 4.63 Angels 118 95 104
Matt Koch Diamondbacks 6.9 4.90 5.8 42.8% 1.00 5.20 5.69 Reds 96 87 103
Max Fried Braves 6.4 4.18 4.5 60.2% 0.99 3.99 Mets 97 67 102
Mike Montgomery Cubs 12.9 4.19 5.0 58.2% 0.98 4.11 4.18 Pirates 116 124 90
Trevor Cahill Athletics 1.4 3.96 5.4 57.0% 0.96 3.14 4.48 Rays 108 108 113
Tyler Skaggs Angels 6.3 4.14 5.3 44.0% 1.07 4.09 3.41 Tigers 100 105 74
Vince Velasquez Phillies -4.6 4.01 5.1 37.5% 0.90 4.65 3.54 Dodgers 94 102 93


Brent Suter has an ERA and estimators below four over the last month. He strikes out enough batters to be useful at the right price and his 84.2 mph aEV is lowest on the board. An odd correlation with a 30.4 LD%. It might be interesting to look into his launch angles when there’s more time. The Cardinals have an 11.6 BB% vs LHP and a 16+ HR/FB on the road and vs LHP, but have not been able to turn that into positive overall results. At the time of this writing, they have a 23.4 K-BB% over the last seven days.

Caleb Smith is not going to continue striking out 30% of batters. He succeeded in a great spot against a Mets’ lineup bereft of right-handed talent currently (6.2 IP – 3 H – 1 ER – 0 HR – 2 BB – 8 K) and is in a spot to do so again today in San Diego (18.3 K-BB% vs LHP), even if they are a bit more dangerous against southpaws (16.5 HR/FB).

Chris Archer had the following line when hosting the Red Sox last time out: 6 IP – 4 H – 1 ER – 0 HR – 3 BB – 6 K – 22 BF. That’s a victory. He’s walked 10 of his last 79 batters, but has completed six innings in five straight, allowing more than a two runs just once (Baltimore), also only allowing a HR in one of those starts (three in Baltimore). That said, his hard hit rate was below 45% for the first time in May last time out (30.8%). So he’s still walking a lot of batters and generating hard contact with just a league average strikeout rate over the last month, but going deep into games. He’s also faced the Red Sox at home, while pitching in LA (AL), Baltimore and Toronto in his last four starts, difficult matchups. The A’s can mash too, but have been suffering recently with Khris Davis out and will swing and miss a bit (23.1 K% vs RHP) in a pitcher’s park.

Gio Gonzalez gets a tough park and an added DH against a predominantly right-handed lineup. However, the Orioles don’t hit LHP all that well (91 wRC+, 15.8 K-BB%). Despite the ERA (2.38), he’s having his typical season. The estimators are more than a run higher except the FIP. He’s shown a tendency to be able to limit damage on contact in the past, specifically home runs.

Jacob deGrom is one of two studs on this slate, neither in an ideal spot, though his in Atlanta is better than Verlander’s in the Bronx. Seven shutout innings with four hits, two walks and eight strikeouts against the Marlins was a bit of a disappointment last time out with the announce team suggesting he didn’t have his best stuff. Those are the kind of expectations he has this season because he’s shown that kind of upside, especially over the last month. Take away the start he left injured and the one where he returned for an inning and he’s gone at least seven innings with eight strikeouts or more in five straight starts. He’s struck out 16 of 40 Braves faced this year. deGrom combines the top SwStr% on the board with a lowest rate of Barrels/BBE (2.2%). His .236 xwOBA is behind only Verlander by four points.

Justin Verlander has been better than deGrom slightly by K% (not SwStr%) and xwOBA (aEV). His estimators are a bit higher and he also has one of the toughest matchups on the board at Yankee Stadium. However, he’s dominated them both in the post-season and back on May 1st (8 IP – 3 H – 0 R – 0 BB – 14 K). He’s completed seven innings or more in five of his last nine starts.

Luke Weaver has suddenly pitched seven innings in each of his last two starts after barely averaging over five innings over the last two years and not going more than five innings in five straight starts. He’s allowed a total of four runs over three starts after allowing four or more in four straight. He’s missing bats at a perfectly league average rate and while his 8.8 HR/FB may not be sustainable (14.3 career HR/FB), he does have one of the lowest aEVs on the board (85.1 mph). The Brewers have been hot (31 Hard-Soft% last seven days) and have power (16.7 HR/FB vs RHP), but also a 24.7 K% vs RHP.

Marco Gonzales has gone at least six innings in five of his last six starts, missing by just one out in the other. He’s not missing a lot of bats and hasn’t even exceeded a 9.0 SwStr% in five straight starts, but he also rarely walks anyone and has a matchup in his favor today. The Rangers have been as hot as the weather in Texas over the last week (22 HR/FB), but travel to Seattle and have a 26.4 K% vs LHP.

Max Fried pitched into the seventh inning in his last AAA start eight day ago. He has generally struggled with control in the minors and doesn’t have a lot of innings above A ball (149.5 at AA, AAA, and the majors since last season), but has run above average strikeout rates at just about every stop that he’s pitched more than a game. The thing this afternoon is that the Mets are completely absent quality right-handed bats against LHP (unless you count Jose Bautista, but neither he nor Wilmer Flores have been very good against LHP since last season). They have a 67 wRC+, split high 27 K%, and 6.1 HR/FB vs LHP.

Mike Montgomery has not started a game this season, but did throw a season high 59 pitches six days ago in allowing six runs against Cleveland. His strikeout rate is miniscule this season out the pen, but a bit more acceptable over the last month and with a SwStr% that projects a bit better. He has just an 18.6 K% over 346 career innings, but we’re not asking for much today. His Statcast numbers are some of the best on the board (84.4 mph aEV, 3.6% Barrels/BBE, 26.2% 95+ mph EV) and a great defense behind him. What’s not on his side is the matchup, though the Pirates can’t be this good (116 wRC+, 17.8 K% at home, 124 wRC+, 9.2 K-BB%, 14.6 HR/FB vs LHP). On the bright side, the park suppresses right-handed power.

Trevor Cahill has struck out just four of his last 47 batters, but one of those starts was in Boston and he went seven innings with a 10.8 SwStr% in the other. His 14.0 SwStr% is second best on the board for the entire day and it’s been just a point lower over the last month. He does have a 90.2 mph aEV that is a bit of a concern, but combines the swings and misses with an elite 60.4 GB% that helps mitigate the damage. The Rays are a tough opponent, but don’t have their standard season lineup in tact right now due to recent trades and injuries. He throws non-fastballs about 60% of the time, which could give this fastball competent team some fits.

Vince Velasquez has been inconsistent as always and nine HRs over his last seven starts is a concern, but the overall body of work is acceptable with an ERA and FIP just above four and other estimators below that. Although he hasn’t done it in every start, he can pile up strikeouts on occasion. His .287 xwOBA is actually third best on the board and he gets a park upgrade in LA (NL), which turns it into a somewhat favorable matchup against an offense that has struggled all season, but has just a 16.7 K% 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 usually extreme BABIP, LOB, and/or HR/FB deviation from the norm.

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

Matt Boyd (.248 – 73% – 4.3) has been in our site last few times out, but threw up a stinker in Minnesota (4 IP – 1 H – 2 ER – 4 BB – 0 K) before leaving with an oblique injury, which it’s taken him less than week to recover from? The Angels are oddly below average against LHP, but I’m perfectly happy sitting this one out in what’s probably a tougher matchup than the numbers suggest against a pitcher who may have injury concerns.

Chad Bettis (.253 – 79% – 10.5) has one of the most difficult matchups on the board. The Giants are predominantly right-handed in the middle of the order and face a pitcher with reverse platoon splits in the most positive run environment possible.

Matt Koch (.222 – 83.4% – 18.4) has the worst Statcast numbers on the board (.418 xwOBA, 15.6% Barrels/BBE), which his HR rate only begins to reflect.

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

David Price is coming off two consecutive strong starts in Tampa Bay and hosting Baltimore, striking out 17 of 54 batters. While strikeouts are up over the last month, his SwStr rate remains below average. It hasn’t budged, although he did have a string of three straight starts with a double digit SwStr% snapped last time out, ironically, when he generated his highest strikeout total of the season (nine). He’s really the borderline play on FanDuel for $8K. I’d expect his DraftKings cost to be a bit higher. Toronto has some right handed power that can smack the ball off the wall at Fenway and his numbers really don’t suggest he’s much better than a league average pitcher at this point.

Tyler Skaggs is going to look like an odd omission today in Detroit, but there are some red flags. His 30.2 K% over the last month is not supported by a swinging strike rate that hasn’t budged from about league average. He’s allowed five HRs over his last three starts and has a 4.48 FIP over the last month even with that lofty strikeout rate. Lastly, the Tigers are not terrible, not even close actually, against LHP (105 wRC+, 17.7 K%). There may not be as many strikeouts here as people expect.

Eric Lauer completed six innings for just the second time this season last time out (6 IP – 6 H – 1 ER – 1 HR – 2 BB – 7 K – 25 BF in Washington). The numbers are all still below average, but the miniscule price tag nearly puts him into consideration against the Marlins, who, despite what happened with Scherzer on Friday night, are still one of the worst run producing offenses in the majors. They have been slightly competent against LHP however.

Jakob Junis does have a slider that can make hitters look silly on occasion and should, theoretically have some success in a big park like Kansas City, but still has a career 14.7 HR/FB at home. His 11.0% Barrels/BBE this season is second worst on the board and the Twins have some pop against RHP. This shows more in the individual bats than their 10.4 HR/FB this year.

Chad Kuhl has league average estimators and an above average strikeout rate, but a below average SwStr% and a .381 xwOBA with significant platoon issues that an offense like the Cubs can take advantage of.

Brock Stewart struck out one of 18 Rockies in his first start, at home. He threw 63 pitches, which maybe gets him to 75 tonight. The performance will have to significantly improve and he has had high minor league strikeout rates. The Phillies offer the same type of strikeout upside, but are a bit better overall than the Rockies.

Domingo German has struck out 16 of 62 batters in three starts. He can miss some bats, but has allowed six runs on each of his last two starts (three HRs), has walked 15 of 125 batters this season and has yet to throw more than 85 pitches. An oft-injured pitcher in recent seasons, pitch count limitations have been his thing throughout the minors as well. Some upside, but too much risk in a terrible matchup against the Astros.

Doug Fister

Alex Cobb had velocity trending up and had been working deeper into games, then laid a giant turd in his last start against the White Sox.

Homer Bailey has what might be the top park adjusted matchup in a park that may be even more pitcher friendly than we know with the humidor. That still only gets him this far on the today’s list, which means there are probably no circumstances under which we’d ever consider him short of a negative salary in San Diego perhaps.

Lance Lynn

Adam Plutko allowed six extra-base hits in his first start and walked four in his second. Yet, he’s allowed just three runs in 13.1 innings. There’s little to support expecting too much from him in the minor league numbers either.

Dylan Covey is coming off the best start of his career against the Orioles (7 IP – 1 ER – 1 BB – 8 K). He’s struck out more than five only one other time in his career and now has a 3.8 K-BB% in 83 major league innings. Let’s see him duplicate this feat in Cleveland.

Andrew Suarez is in Colorado, which can occasionally make the Rockies look like a competent offense.

Aaron Sanchez is in Boston.

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%
Aaron Sanchez Blue Jays L2 Yrs 18.2% 10.0% 11.5% 10.9% Season 16.8% 13.6% 10.0% 11.9% Road 12.9% 12.4% 4.7% 12.4% L14Days 22.7% 20.5% 11.1% 8.0%
Adam Plutko Indians L2 Yrs 18.8% 8.7% 13.3% 14.0% Season 19.6% 7.8% 13.6% 27.0% Home 21.4% 20.0% 36.4% L14Days 17.4% 17.4% 13.4%
Alex Cobb Orioles L2 Yrs 16.0% 5.8% 14.8% 20.5% Season 11.6% 4.8% 18.2% 19.1% Home 19.0% 4.6% 13.6% 20.9% L14Days 12.5% 6.3% 14.3% 17.9%
Andrew Suarez Giants L2 Yrs 22.7% 5.3% 18.8% 29.5% Season 22.7% 5.3% 18.8% 29.5% Road 21.0% 8.1% 15.4% 31.8% L14Days 14.9% 6.4% 9.1% 21.6%
Brent Suter Brewers L2 Yrs 18.3% 5.9% 12.5% 9.8% Season 18.2% 5.2% 15.5% 16.0% Home 20.3% 6.7% 15.4% 12.7% L14Days 26.1% 6.5% 20.0% 19.3%
Brock Stewart Dodgers L2 Yrs 18.9% 11.0% 14.6% 8.2% Season 13.6% 9.1% 18.2% 27.3% Home 14.3% 8.3% 5.3% 11.1% L14Days 5.6% 5.6% 25.0% 37.5%
Caleb Smith Marlins L2 Yrs 28.5% 12.0% 10.4% 20.8% Season 31.7% 12.2% 7.7% 24.4% Road 28.6% 12.9% 7.9% 10.4% L14Days 30.8% 15.4% 28.5%
Chad Bettis Rockies L2 Yrs 16.4% 7.6% 13.7% 13.1% Season 16.1% 9.1% 10.5% 16.1% Home 15.4% 5.6% 16.7% 9.1% L14Days 20.0% 11.1% 10.0% 19.3%
Chad Kuhl Pirates L2 Yrs 20.4% 9.1% 11.5% 17.8% Season 22.5% 8.1% 16.7% 21.0% Home 21.6% 10.0% 10.3% 17.2% L14Days 25.0% 6.8% 9.1% 13.4%
Chris Archer Rays L2 Yrs 27.6% 7.1% 14.2% 21.3% Season 22.8% 8.0% 14.1% 24.3% Road 25.2% 8.1% 17.4% 24.4% L14Days 22.9% 14.6% 17.3%
David Price Red Sox L2 Yrs 22.8% 6.5% 12.0% 13.6% Season 23.3% 9.3% 9.4% 9.5% Home 24.2% 7.0% 7.9% 15.6% L14Days 31.5% 5.6% 6.3% 2.9%
Domingo German Yankees L2 Yrs 27.8% 12.8% 18.2% 15.4% Season 27.2% 12.0% 20.0% 21.3% Home 28.8% 13.5% 17.6% 15.6% L14Days 30.0% 15.0% 200.0% 20.0%
Doug Fister Rangers L2 Yrs 17.4% 8.4% 12.5% 14.8% Season 15.9% 7.3% 20.5% 23.1% Road 19.1% 9.1% 11.3% 2.3% L14Days 11.5% 1.9% 18.8% 28.8%
Dylan Covey White Sox L2 Yrs 14.3% 10.4% 22.2% 18.6% Season 19.6% 7.1% 19.5% Road 8.6% 10.5% 23.7% 20.8% L14Days 27.6% 3.5% 15.0%
Eric Lauer Padres L2 Yrs 18.9% 9.9% 16.7% 33.0% Season 18.9% 9.9% 16.7% 33.0% Home 12.2% 4.9% 33.3% 38.2% L14Days 20.8% 10.4% 7.1% 24.2%
Gio Gonzalez Nationals L2 Yrs 23.1% 9.4% 11.1% 10.4% Season 24.6% 10.7% 6.1% 11.4% Road 22.4% 9.5% 9.2% 9.9% L14Days 19.6% 13.7% 16.7% 2.9%
Homer Bailey Reds L2 Yrs 16.1% 9.0% 14.4% 19.0% Season 12.9% 8.5% 16.7% 26.9% Road 16.5% 10.1% 11.9% 17.4% L14Days 10.9% 14.6% 11.1% 36.6%
Jacob deGrom Mets L2 Yrs 28.8% 6.7% 13.8% 8.9% Season 33.3% 6.9% 5.0% -1.5% Road 27.1% 6.6% 16.8% 8.9% L14Days 37.5% 3.6% 12.9%
Jakob Junis Royals L2 Yrs 20.0% 5.6% 13.2% 19.2% Season 21.8% 5.2% 14.7% 18.3% Home 21.3% 6.0% 16.7% 20.8% L14Days 22.2% 4.4% 27.2%
Justin Verlander Astros L2 Yrs 28.1% 6.9% 10.1% 11.8% Season 33.5% 5.4% 4.3% 1.8% Road 27.9% 7.8% 11.6% 14.6% L14Days 29.1% 3.6% -10.8%
Lance Lynn Twins L2 Yrs 20.2% 11.0% 14.9% 10.2% Season 21.8% 14.6% 18.8% 19.3% Road 20.5% 11.4% 17.5% 14.9% L14Days 21.4% 11.9% 18.5%
Luke Weaver Cardinals L2 Yrs 25.8% 7.3% 14.3% 8.1% Season 21.9% 7.9% 8.8% 5.1% Road 26.6% 6.9% 9.1% 2.8% L14Days 26.4% 3.8% 25.0% 10.8%
Marco Gonzales Mariners L2 Yrs 19.7% 5.4% 15.3% 12.1% Season 21.7% 4.9% 12.5% 17.7% Home 19.5% 3.1% 14.6% 3.2% L14Days 16.0% 6.0% -2.6%
Matt Boyd Tigers L2 Yrs 19.1% 7.9% 10.3% 12.8% Season 19.6% 8.1% 4.3% 9.5% Home 18.1% 7.7% 8.5% 14.9% L14Days 23.1% 12.8% 28.0%
Matt Koch Diamondbacks L2 Yrs 14.2% 6.9% 13.9% 24.8% Season 14.3% 6.9% 18.4% 34.1% Home 10.6% 5.7% 25.0% 35.0% L14Days 11.4% 9.1% 28.6% 37.1%
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
Mike Montgomery Cubs L2 Yrs 19.2% 10.0% 13.2% 7.1% Season 13.6% 9.1% 10.0% -9.5% Road 20.0% 8.7% 10.9% 6.8% L14Days 20.7% 10.3% 5.0%
Trevor Cahill Athletics L2 Yrs 23.6% 10.6% 22.4% 15.4% Season 25.2% 6.5% 19.0% 37.6% Home 26.9% 7.9% 14.7% 12.3% L14Days 8.5% 6.4% 28.6% 35.9%
Tyler Skaggs Angels L2 Yrs 22.7% 8.2% 13.0% 16.1% Season 25.4% 6.9% 13.5% 28.0% Road 24.1% 7.4% 10.8% 12.1% L14Days 27.1% 6.3% 23.1% 33.4%
Vince Velasquez Phillies L2 Yrs 25.4% 9.2% 18.1% 18.9% Season 28.4% 8.4% 14.8% 12.8% Road 20.0% 10.8% 11.7% 20.9% L14Days 29.8% 10.6% 10.0% 32.1%

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 18.2% 8.7% 13.6% 17.5% RH 18.6% 8.4% 15.1% 20.3% L7Days 22.7% 11.6% 15.4% 19.4%
White Sox Road 23.5% 7.3% 16.1% 20.3% RH 23.8% 7.4% 12.7% 12.3% L7Days 27.4% 7.9% 16.7% 14.6%
Nationals Road 20.2% 10.2% 16.3% 19.7% RH 20.2% 10.5% 15.8% 15.0% L7Days 20.7% 7.5% 20.7% 17.9%
Rockies Home 24.4% 9.4% 18.1% 9.1% LH 24.0% 9.2% 16.7% 16.2% L7Days 22.9% 9.3% 17.1% 7.6%
Cardinals Road 24.7% 9.1% 16.2% 15.5% LH 22.5% 11.9% 16.5% 16.4% L7Days 25.5% 4.1% 8.5% 10.6%
Phillies Road 26.3% 10.3% 10.4% 9.3% RH 26.4% 9.9% 13.2% 8.7% L7Days 23.2% 8.5% 10.3% -2.8%
Padres Home 25.5% 9.4% 11.6% 18.9% LH 25.8% 7.5% 16.3% 17.0% L7Days 29.6% 4.9% 13.3% 9.7%
Giants Road 27.1% 7.9% 10.9% 18.3% RH 25.6% 7.2% 10.6% 22.0% L7Days 29.4% 11.2% 7.5% 12.6%
Cubs Road 21.7% 9.9% 10.7% 18.2% RH 20.4% 9.8% 11.7% 13.7% L7Days 20.0% 11.4% 8.5% 18.2%
Athletics Home 23.0% 8.6% 8.2% 25.9% RH 23.2% 9.2% 14.0% 24.6% L7Days 22.4% 5.1% 10.0% 31.2%
Blue Jays Road 24.5% 10.0% 14.2% 19.4% LH 22.8% 8.8% 13.6% 17.8% L7Days 29.2% 7.2% 15.0% 22.9%
Astros Road 21.0% 9.0% 10.9% 21.8% RH 21.9% 9.1% 12.3% 17.3% L7Days 19.9% 7.8% 16.4% 27.6%
Mariners Home 22.4% 6.6% 12.3% 9.1% RH 20.3% 7.2% 13.5% 17.6% L7Days 22.8% 6.8% 9.6% 19.0%
Indians Home 20.6% 8.8% 16.1% 28.1% RH 23.9% 8.4% 15.4% 21.7% L7Days 20.6% 9.3% 14.0% 16.1%
Marlins Road 25.1% 8.1% 11.0% 8.8% LH 21.1% 9.8% 8.8% 8.9% L7Days 25.2% 7.4% 5.7% 14.6%
Orioles Home 20.7% 8.1% 14.4% 12.8% LH 23.4% 8.5% 13.6% 15.1% L7Days 24.9% 7.8% 11.1% 18.7%
Diamondbacks Home 26.1% 9.9% 8.7% 20.2% RH 26.2% 9.8% 9.2% 14.2% L7Days 23.9% 9.8% 8.3% 23.7%
Braves Home 18.7% 9.5% 10.0% 22.3% RH 20.7% 9.3% 10.8% 17.4% L7Days 25.9% 8.8% 7.3% 8.0%
Twins Road 23.1% 8.4% 11.3% 17.8% RH 22.0% 9.2% 10.2% 21.3% L7Days 21.7% 7.2% 1.8% 23.8%
Yankees Home 22.1% 13.0% 16.9% 19.7% RH 22.7% 10.8% 17.0% 19.9% L7Days 20.9% 8.3% 22.9% 15.7%
Royals Home 18.4% 8.2% 6.6% 22.8% RH 17.4% 7.3% 8.0% 21.1% L7Days 19.0% 6.7% 12.7% 19.9%
Brewers Home 26.4% 9.7% 15.3% 22.5% RH 24.7% 8.4% 16.7% 17.2% L7Days 23.1% 10.6% 14.8% 31.0%
Rangers Road 26.4% 6.3% 14.5% 16.0% LH 26.4% 8.4% 16.1% 16.7% L7Days 22.4% 12.5% 22.0% 18.4%
Angels Road 18.1% 8.8% 12.6% 15.4% LH 20.1% 10.2% 11.5% 13.1% L7Days 19.7% 14.1% 10.0% 15.6%
Reds Road 19.6% 8.2% 9.7% 14.9% RH 21.5% 8.7% 10.6% 16.0% L7Days 21.4% 8.4% 11.7% 14.0%
Mets Road 22.3% 9.4% 13.0% 17.9% LH 27.0% 9.8% 6.1% 11.3% L7Days 17.9% 8.4% 9.6% 22.8%
Pirates Home 17.8% 9.8% 8.3% 6.6% LH 19.5% 10.3% 14.6% 9.3% L7Days 19.3% 7.3% 10.0% 11.8%
Rays Road 22.2% 8.4% 12.1% 14.2% RH 21.1% 9.0% 10.0% 16.7% L7Days 21.1% 12.6% 7.3% 9.1%
Tigers Home 18.0% 7.2% 9.3% 24.7% LH 17.7% 7.3% 10.5% 19.8% L7Days 18.3% 6.7% 7.5% 10.3%
Dodgers Home 22.7% 8.7% 11.5% 10.4% RH 21.7% 9.2% 11.8% 14.6% L7Days 16.7% 9.4% 14.1% 14.2%

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%
Aaron Sanchez Blue Jays 16.8% 9.8% 1.71 16.4% 8.8% 1.86
Adam Plutko Indians 19.6% 7.9% 2.48 19.6% 7.9% 2.48
Alex Cobb Orioles 11.6% 6.0% 1.93 14.8% 6.4% 2.31
Andrew Suarez Giants 22.7% 6.6% 3.44 20.5% 6.1% 3.36
Brent Suter Brewers 18.2% 8.2% 2.22 20.8% 8.5% 2.45
Brock Stewart Dodgers 13.6% 8.5% 1.60 13.6% 8.5% 1.60
Caleb Smith Marlins 31.7% 11.9% 2.66 30.8% 10.8% 2.85
Chad Bettis Rockies 16.1% 8.9% 1.81 15.5% 9.5% 1.63
Chad Kuhl Pirates 22.5% 9.1% 2.47 24.4% 9.5% 2.57
Chris Archer Rays 22.8% 13.0% 1.75 20.9% 11.3% 1.85
David Price Red Sox 23.3% 9.1% 2.56 25.6% 9.1% 2.81
Domingo German Yankees 27.2% 13.6% 2.00 25.6% 13.8% 1.86
Doug Fister Rangers 15.9% 5.9% 2.69 14.0% 5.6% 2.50
Dylan Covey White Sox 19.6% 7.4% 2.65 19.6% 7.4% 2.65
Eric Lauer Padres 18.9% 7.2% 2.63 19.5% 7.3% 2.67
Gio Gonzalez Nationals 24.6% 10.0% 2.46 25.0% 9.5% 2.63
Homer Bailey Reds 12.9% 7.5% 1.72 11.2% 8.0% 1.40
Jacob deGrom Mets 33.3% 15.0% 2.22 38.2% 15.3% 2.50
Jakob Junis Royals 21.8% 9.2% 2.37 24.0% 9.5% 2.53
Justin Verlander Astros 33.5% 13.7% 2.45 34.6% 13.5% 2.56
Lance Lynn Twins 21.8% 9.9% 2.20 19.8% 7.4% 2.68
Luke Weaver Cardinals 21.9% 10.0% 2.19 22.2% 10.2% 2.18
Marco Gonzales Mariners 21.7% 8.1% 2.68 17.2% 6.8% 2.53
Matt Boyd Tigers 19.6% 10.4% 1.88 23.1% 10.5% 2.20
Matt Koch Diamondbacks 14.3% 6.1% 2.34 11.4% 6.0% 1.90
Max Fried Braves 26.9% 12.8% 2.10 33.3% 15.8% 2.11
Mike Montgomery Cubs 13.6% 9.0% 1.51 18.5% 9.8% 1.89
Trevor Cahill Athletics 25.2% 14.0% 1.80 22.6% 13.0% 1.74
Tyler Skaggs Angels 25.4% 10.6% 2.40 30.2% 10.7% 2.82
Vince Velasquez Phillies 28.4% 11.3% 2.51 30.1% 11.8% 2.55


Caleb Smith has a SwStr% just above league average over the last month.

Mike Montgomery is not going to break out, but should be generating a few more strikeouts and has over the last month.

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
Aaron Sanchez Blue Jays 4.07 5.28 1.21 4.07 1.15 4.93 0.86 7.72 3.65 4.56 5.81 1.25 5.47 0.91 5.69 1.13
Adam Plutko Indians 2.03 4.82 2.79 2.03 3.14 5.43 3.40 6.27 4.24 2.03 4.82 2.79 5.17 3.14 5.43 3.40
Alex Cobb Orioles 7.32 4.62 -2.70 7.32 -2.76 5.40 -1.92 7.82 0.50 4.88 4.26 -0.62 4.21 -0.67 4.81 -0.07
Andrew Suarez Giants 5.68 3.68 -2.00 5.68 -2.17 4.34 -1.34 4.58 -1.10 5.47 4.07 -1.40 3.88 -1.59 4.13 -1.34
Brent Suter Brewers 4.56 4.22 -0.34 4.56 -0.48 4.52 -0.04 4.72 0.16 3.52 3.81 0.29 3.84 0.32 5.54 2.02
Brock Stewart Dodgers 3.72 4.99 1.27 3.72 1.54 6.11 2.39 4.44 0.72 3.72 4.99 1.27 5.26 1.54 6.11 2.39
Caleb Smith Marlins 3.83 3.63 -0.20 3.83 -0.13 3.05 -0.78 3.38 -0.45 2.28 3.33 1.05 3.33 1.05 1.81 -0.47
Chad Bettis Rockies 3.30 4.82 1.52 3.30 1.19 4.26 0.96 3.31 0.01 4.20 4.70 0.50 4.35 0.15 4.14 -0.06
Chad Kuhl Pirates 4.20 4.08 -0.12 4.20 -0.12 4.67 0.47 3.98 -0.22 3.86 4.05 0.19 4.08 0.22 5.54 1.68
Chris Archer Rays 4.68 3.96 -0.72 4.68 -0.82 4.07 -0.61 5.20 0.52 2.76 4.26 1.50 3.94 1.18 3.75 0.99
David Price Red Sox 4.08 4.12 0.04 4.08 0.12 3.75 -0.33 4.91 0.83 5.16 3.90 -1.26 3.95 -1.21 4.02 -1.14
Domingo German Yankees 5.59 3.83 -1.76 5.59 -1.78 4.66 -0.93 3.04 -2.55 5.79 4.02 -1.77 3.96 -1.83 4.66 -1.13
Doug Fister Rangers 4.22 4.47 0.25 4.22 0.20 5.35 1.13 7.88 3.66 4.40 4.53 0.13 4.53 0.13 5.91 1.51
Dylan Covey White Sox 3.46 3.70 0.24 3.46 0.00 2.34 -1.12 5.93 2.47 3.46 3.70 0.24 3.46 0.00 2.34 -1.12
Eric Lauer Padres 6.67 4.78 -1.89 6.67 -1.82 5.59 -1.08 6.49 -0.18 5.25 4.50 -0.75 4.62 -0.63 5.11 -0.14
Gio Gonzalez Nationals 2.38 4.00 1.62 2.38 1.38 3.06 0.68 2.97 0.59 1.80 3.98 2.18 3.68 1.88 3.31 1.51
Homer Bailey Reds 6.21 5.33 -0.88 6.21 -0.90 6.06 -0.15 5.91 -0.30 9.13 5.68 -3.45 5.63 -3.50 7.29 -1.84
Jacob deGrom Mets 1.54 2.74 1.20 1.54 1.01 1.89 0.35 2.15 0.61 0.47 2.30 1.83 2.27 1.80 1.16 0.69
Jakob Junis Royals 3.52 3.84 0.32 3.52 0.55 4.43 0.91 4.53 1.01 3.72 3.53 -0.19 3.5 -0.22 3.01 -0.71
Justin Verlander Astros 1.08 2.80 1.72 1.08 2.29 2.04 0.96 1.94 0.86 0.77 2.66 1.89 3.16 2.39 1.22 0.45
Lance Lynn Twins 6.34 4.79 -1.55 6.34 -1.99 4.95 -1.39 6.77 0.43 5.33 4.33 -1.00 4.04 -1.29 4.37 -0.96
Luke Weaver Cardinals 4.31 4.08 -0.23 4.31 -0.30 3.51 -0.80 3.85 -0.46 3.81 3.72 -0.09 3.5 -0.31 3.29 -0.52
Marco Gonzales Mariners 4.05 3.55 -0.50 4.05 -0.84 3.22 -0.83 3.48 -0.57 2.93 4.17 1.24 3.83 0.90 3.73 0.80
Matt Boyd Tigers 3.29 4.57 1.28 3.29 1.54 3.44 0.15 5.99 2.70 3.72 4.09 0.37 4.16 0.44 2.49 -1.23
Matt Koch Diamondbacks 3.77 4.85 1.08 3.77 1.06 5.71 1.94 3.55 -0.22 4.66 5.29 0.63 5.34 0.68 6.87 2.21
Max Fried Braves 6.00 3.70 -2.30 6.00 -1.84 8.78 2.78 4.35 -1.65 3.00 2.58 -0.42 3.06 0.06 5.78 2.78
Mike Montgomery Cubs 5.33 4.22 -1.11 5.33 -0.83 4.25 -1.08 4.04 -1.29 5.28 3.84 -1.44 4.1 -1.18 3.37 -1.91
Trevor Cahill Athletics 2.75 3.12 0.37 2.75 0.19 3.44 0.69 2.68 -0.07 3.00 3.21 0.21 3.05 0.05 3.73 0.73
Tyler Skaggs Angels 3.11 3.50 0.39 3.11 0.42 3.66 0.55 3.66 0.55 3.25 3.07 -0.18 3.24 -0.01 4.48 1.23
Vince Velasquez Phillies 4.18 3.49 -0.69 4.18 -0.48 4.06 -0.12 2.74 -1.44 3.86 3.60 -0.26 3.99 0.13 5.02 1.16


Gio Gonzalez has a normal BABIP (.291), but an 81.9 LOB% and 6.1 HR/FB that might see some regression. Remember, his 21 HRs allowed last season were a career high and nowhere near bad considering the current environment.

Jacob deGrom has an 85.9 LOB% and 5.0 HR/FB, but he’s missing so many bats and generating such favorable contact that regression may be limited. Even if he were to drop all the way to his estimators, they’re still well below three.

Mike Montgomery has just a 65.3 LOB%.

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%
Aaron Sanchez Blue Jays 0.308 0.276 -0.032 52.4% 17.9% 10.0% 82.8% 37.8%
Adam Plutko Indians 0.283 0.147 -0.136 29.7% 10.8% 4.5% 89.5% 32.0%
Alex Cobb Orioles 0.327 0.396 0.069 51.3% 20.5% 6.8% 90.5% 39.4%
Andrew Suarez Giants 0.298 0.348 0.050 42.4% 22.8% 9.4% 90.7% 38.6%
Brent Suter Brewers 0.267 0.295 0.028 35.1% 30.4% 17.2% 89.4% 33.0%
Brock Stewart Dodgers 0.293 0.258 -0.035 42.4% 24.2% 9.1% 85.7% 39.7%
Caleb Smith Marlins 0.292 0.279 -0.013 31.3% 22.3% 15.4% 81.0% 40.0%
Chad Bettis Rockies 0.296 0.253 -0.043 47.2% 20.5% 5.3% 85.6% 34.4%
Chad Kuhl Pirates 0.297 0.303 0.006 36.7% 25.3% 8.3% 84.8% 39.7%
Chris Archer Rays 0.277 0.311 0.034 42.6% 23.4% 12.5% 83.8% 41.7%
David Price Red Sox 0.296 0.283 -0.013 43.0% 16.5% 18.8% 84.3% 38.4%
Domingo German Yankees 0.281 0.271 -0.010 40.0% 26.7% 12.0% 80.0% 25.9%
Doug Fister Rangers 0.302 0.310 0.008 48.8% 24.4% 11.4% 90.3% 32.0%
Dylan Covey White Sox 0.292 0.317 0.025 58.5% 19.5% 0.0% 91.4% 32.4%
Eric Lauer Padres 0.305 0.375 0.070 33.3% 26.7% 0.0% 84.4% 49.4%
Gio Gonzalez Nationals 0.277 0.297 0.020 51.6% 17.2% 4.1% 84.9% 32.2%
Homer Bailey Reds 0.301 0.312 0.011 39.4% 22.2% 9.0% 92.4% 38.5%
Jacob deGrom Mets 0.306 0.301 -0.005 43.5% 26.0% 27.5% 76.6% 35.7%
Jakob Junis Royals 0.307 0.253 -0.054 40.0% 18.3% 9.3% 90.7% 27.5%
Justin Verlander Astros 0.263 0.209 -0.054 29.1% 13.9% 12.8% 77.8% 30.2%
Lance Lynn Twins 0.296 0.371 0.075 52.3% 23.1% 6.3% 86.2% 41.9%
Luke Weaver Cardinals 0.285 0.292 0.007 43.2% 20.0% 19.3% 84.7% 40.4%
Marco Gonzales Mariners 0.288 0.352 0.064 46.0% 29.4% 7.5% 86.4% 32.8%
Matt Boyd Tigers 0.287 0.248 -0.039 32.9% 19.9% 8.7% 86.2% 38.0%
Matt Koch Diamondbacks 0.264 0.222 -0.042 44.0% 19.4% 8.2% 91.7% 40.2%
Max Fried Braves 0.288 0.154 -0.134 33.3% 20.0% 0.0% 88.5% 27.2%
Mike Montgomery Cubs 0.269 0.305 0.036 63.0% 12.3% 15.0% 87.2% 30.2%
Trevor Cahill Athletics 0.283 0.244 -0.039 60.4% 16.5% 9.5% 82.7% 26.7%
Tyler Skaggs Angels 0.290 0.306 0.016 48.4% 17.6% 5.8% 81.7% 32.3%
Vince Velasquez Phillies 0.294 0.326 0.032 35.8% 19.7% 8.2% 80.6% 41.1%


Chris Archer has a .297 career BABIP, a high line drive rate and is not getting as many swings at his slider outside the zone as he’d probably like. That said, he has a high infield fly rate and the slider is still being missed inside the zone, while the defense/shifting has worked well. It’s tough to figure out which way this one will go, if it moves much at all.

Jacob deGrom has generated 11 infield flies in 40 fly balls!

Marco Gonzales has a .352 BABIP and a sky high LD rate. It’s hopeful that both will regress. His exit velocity numbers are bordering on ugly, but not the worst on the board.

Mike Montgomery doesn’t have a high BABIP, but it’s a bit above .300 with a great defense and a strong batted ball profile in addition to what appears to be a lot of weak ground balls.

Vince Velasquez really has nothing to support the high BABIP, especially with the low ground ball rate.

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
Aaron Sanchez Blue Jays 0.385 -0.056 0.361 -0.058 0.441 -0.104 -0.200 89.8 8.9 42.300 168
Adam Plutko Indians 0.314 -0.029 0.280 0.064 0.314 -0.029 -1.100 92.9 8.1 59.500 37
Alex Cobb Orioles 0.391 0.043 0.301 -0.019 0.352 0.029 -1.900 90.5 8.3 47.800 157
Andrew Suarez Giants 0.375 -0.008 0.437 -0.001 0.390 -0.011 -1.900 88.9 9.5 33.700 95
Brent Suter Brewers 0.345 -0.013 0.326 0.000 0.344 -0.009 0.800 84.2 8.6 29.700 175
Brock Stewart Dodgers 0.403 -0.066 0.327 -0.075 0.403 -0.066 -0.200 88.2 6.1 36.400 33
Caleb Smith Marlins 0.305 -0.035 0.324 -0.021 0.257 -0.039 -2.100 88.2 7.8 35.700 115
Chad Bettis Rockies 0.347 -0.051 0.325 0.010 0.325 -0.022 -0.700 88.2 6.1 39.400 180
Chad Kuhl Pirates 0.381 -0.041 0.339 -0.008 0.360 -0.044 -0.500 89.4 9.3 39.500 162
Chris Archer Rays 0.357 -0.032 0.326 0.009 0.367 -0.097 -1.100 90.3 7.9 38.600 189
David Price Red Sox 0.340 -0.041 0.315 -0.045 0.354 -0.032 -0.700 87.2 8.9 32.900 158
Domingo German Yankees 0.303 0.001 0.300 -0.029 0.296 -0.002 -1.200 86.6 4.0 30.700 75
Doug Fister Rangers 0.379 -0.020 0.333 -0.020 0.365 -0.001 -0.100 88.2 9.1 43.300 164
Dylan Covey White Sox 0.300 -0.034 0.434 0.003 0.300 -0.034 -0.900 89.1 4.9 34.100 41
Eric Lauer Padres 0.369 0.034 0.401 0.060 0.352 0.033 -0.500 89.3 8.5 33.000 94
Gio Gonzalez Nationals 0.296 -0.011 0.287 -0.011 0.288 -0.023 -1.100 87.2 5.1 31.600 158
Homer Bailey Reds 0.413 -0.034 0.386 -0.035 0.426 0.038 -0.200 88.3 9.4 45.800 212
Jacob deGrom Mets 0.236 -0.003 0.285 0.005 0.240 -0.028 0.900 85.2 2.2 24.400 135
Jakob Junis Royals 0.334 -0.037 0.358 -0.031 0.296 0.017 -0.800 88.3 11.0 32.000 181
Justin Verlander Astros 0.232 -0.033 0.300 -0.011 0.193 -0.010 -1.200 86.7 6.0 29.900 167
Lance Lynn Twins 0.364 0.012 0.331 0.008 0.359 0.011 -0.300 89.3 6.9 42.300 130
Luke Weaver Cardinals 0.311 -0.021 0.283 0.012 0.289 -0.012 -0.800 85.1 5.7 29.600 159
Marco Gonzales Mariners 0.347 -0.022 0.334 0.021 0.356 -0.042 -0.600 88.9 6.1 40.900 164
Matt Boyd Tigers 0.296 -0.034 0.321 -0.017 0.289 -0.025 -0.800 86.2 5.4 24.300 148
Matt Koch Diamondbacks 0.418 -0.094 0.427 -0.069 0.440 -0.076 -0.600 91.3 15.6 45.900 135
Max Fried Braves 0.335 0.056 0.374 -0.025 0.243 0.053 0.000
Mike Montgomery Cubs 0.308 0.013 0.292 -0.028 0.264 0.011 -0.400 84.4 3.6 26.200 84
Trevor Cahill Athletics 0.316 -0.054 0.278 -0.015 0.320 -0.062 -0.500 90.2 7.5 40.900 93
Tyler Skaggs Angels 0.307 -0.008 0.301 0.008 0.308 0.029 -0.700 90.1 7.1 39.600 154
Vince Velasquez Phillies 0.287 0.043 0.331 -0.021 0.277 0.073 -0.100 88.5 6.4 34.800 141


Jacob deGrom has been amazing. Considering the number of strikeouts, virtually nobody is making good contact against him.

It might go over-looked because the top two guys 50 or more points better, but Vince Velasquez and Matt Body are two of the three remaining pitchers on this board with a sub-.300 xwOBA.

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.

DraftKings pricing has been factored in below. Nobody else is close to the top two guys overall today. It’s unfortunate to find them both (along with my projected top value) on the early slate. The good news is that it does offer a cheapie to pair with them.

Value Tier One

Max Fried is priced down because he’s thrown just six major league innings this season, all out of the pen. He’s recently pitched into the seventh in his last minor league start and is in a great spot this afternoon at the minimum.

Jacob deGrom (1) remains too cheap on DraftKings ($11.1K) for the elite production.

Value Tier Two

Marco Gonzales isn’t missing a lot of bats, but has completing six innings on a regular basis and is in a nice spot with some upside at a reasonable price at home against the Rangers.

Trevor Cahill has struck out just four in two starts, but part of that has been a function of opposition. The SwStr% is still healthy and you’re not going to get that along with an elite ground ball rate at a cost around or below $8K very much. The Rays can hit fastballs, but even his sinker is a pitcher he throws less than 40% of the time.

Caleb Smith will not sustain his strikeout rate for the rest of the season, but I can’t find many reasons why he may not in San Diego today.

Value Tier Three

Brent Suter is a strong contact manager, who misses enough bats at a very low cost in a reasonable spot against the Cardinals.

Vince Velasquez is a high upside arm that’s not very consistent. The matchup is better than it should be using current numbers. There’s certainly risk here and his DraftKings cost might be too high, but that may also keep people away and the FanDuel price is reasonable.

Luke Weaver has been pitching well and going deeper into games. The matchup in Milwaukee is dangerous, but if he’s going to be getting in six to seven innings consistently, the cost should be higher.

Justin Verlander (2) is extremely expensive in a terrible spot. It’s one he has excelled in before, even this season, but in a more negative run environment.

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.

Mike Montgomery shouldn’t be expected to do much, but could throw four or five competent innings (75 pitches?) at the minimum cost in an SP2 spot…if necessary.

Chris Archer has looked better in recent starts, but there are remaining reasons for caution and the cost is rising.

Gio Gonzalez is never a pitcher you comfortably roster at a high price. He’s in a dangerous, but high upside spot in Baltimore. One thing he can usually be counted on to do is keep the ball in the park too, which counters some of the risk in this park.

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.