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Advanced Stats - Pitching: Friday, May 5th

Happy Cinco De Mayo to everyone, which I believe is Spanish for “the day Montero replaced Syndergaard and we all wept”. We’re two short of the standard full Friday night slate, perhaps to make up for the back-to-back 15 game ones on Tuesday and Wednesday.

Last night was one of the worst baseball slates you’re ever going to see (depending on your results though). Consider how poor the pitching choices were to begin with and then it was a one man show with Matt Andriese, who at least was the top projected value here yesterday. Two games (40% of the slate) had weather concerns. One game got started and then was rained out before it was official, wiping the points off the board. A couple of key players left another game with injuries. Then, players were left to scramble when Mike Trout was unexpectedly omitted from the Angels’ lineup less than an hour before first pitch.

The bright side is: there’s nowhere to go but up…unless you’re a Mets fan and Montero is replacing Syndergaard.

As always, don’t forget to check lineups, umpire assignments, line movement, ownership projections and Kevin’s weather report as they are released later in the day, all of which may change the equation and help you decide between two pitchers of otherwise equal value in a pinch. And all of which are now available right here on the site.

Legend

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+
Andrew Triggs OAK -6.5 3.46 5. 52.6% 0.93 3.8 2.99 DET 105 116 106
Bronson Arroyo CIN 13.6 4.85 5. 37.0% 1.02 4.02 4.34 SFO 82 73 75
Chad Kuhl PIT -7.2 4.65 4.91 43.2% 0.97 6.42 5.54 MIL 112 93 97
Chris Archer TAM 7.7 3.4 6.18 45.2% 0.96 3.24 5.59 TOR 94 79 113
Dallas Keuchel HOU -2.4 3.22 6.79 59.3% 0.91 3.83 3.78 ANA 112 97 109
Danny Salazar CLE -10.8 3.63 5.83 45.1% 1.06 3.72 3.86 KAN 76 75 88
Eduardo Rodriguez BOS 0 4.24 5.58 37.0% 1.04 4.48 3.8 MIN 108 83 138
Francisco Liriano TOR -3.1 3.91 5.63 51.5% 0.96 4.7 5.68 TAM 124 100 96
German Marquez COL -1.3 4.06 5.02 52.8% 1.39 4.06 4.12 ARI 66 102 75
Jason Hammel KAN 7.6 4 5.36 40.0% 1.06 4.12 4.63 CLE 95 119 75
Jesse Chavez ANA -0.9 3.92 5.8 43.4% 0.91 3.9 4.52 HOU 121 128 144
Jhoulys Chacin SDG 1.3 4.35 5.41 49.0% 0.91 3.78 3.36 LOS 74 108 112
Jimmy Nelson MIL -11.5 4.55 5.74 49.4% 0.97 5.02 5.87 PIT 96 85 112
Kenta Maeda LOS -3.4 3.69 5.44 42.1% 0.91 3.66 3.43 SDG 75 85 77
Kyle Hendricks CHC 2.2 3.63 5.95 49.4% 0.96 3.16 4.68 NYY 100 131 179
Lance Lynn STL -16.6 4.21 5.65 45.6% 1 4.35 3.55 ATL 100 99 136
Matt Cain SFO 3.5 4.66 5.1 37.6% 1.02 5.05 2.8 CIN 84 99 112
Michael Fulmer DET 6.6 4.03 6.13 48.1% 0.93 3.79 4.04 OAK 115 102 103
Michael Pineda NYY 7.3 3.24 5.65 46.3% 0.96 3.13 2.84 CHC 98 96 105
Miguel Gonzalez CHW 0.5 4.63 5.71 39.6% 1.02 4.87 5.46 BAL 81 101 93
Mike Foltynewicz ATL 5.1 4.13 5.65 38.9% 1 4.53 2.64 STL 93 102 122
Nick Pivetta PHI 13 3.84 5. 35.3% 0.96 3.84 WAS 122 117 139
Phil Hughes MIN 12.2 4.73 5.67 35.2% 1.04 4.59 5.06 BOS 89 95 104
Rafael Montero NYM -4.7 5.64 3.67 41.0% 0.91 5.34 MIA 89 85 81
Stephen Strasburg WAS -8.9 2.98 5.96 0.422 0.96 2.98 3.48 PHI 112 95 98
Tom Koehler MIA 7 4.76 5.61 0.439 0.91 4.77 3.76 NYM 63 90 144
Wade Miley BAL -4.3 4.13 5.94 0.481 1.02 3.98 3.98 CHW 77 126 94
Yovani Gallardo SEA 5.5 4.93 5.4 0.465 0.89 5.15 3.32 TEX 87 102 100
Yu Darvish TEX -1.6 3.29 6.04 0.401 0.89 2.93 3.03 SEA 138 117 126
Zack Greinke ARI -8.1 3.61 6.53 0.463 1.39 3.49 1.95 COL 87 75 60


Andrew Triggs stepped up for seven shutout innings with nine strikeouts (no walks) against a very potent Houston lineup that had even cut their strikeouts below league average this season. Coming into that game with just 13 Ks over four starts, the most recent effort saves us from having to ask what’s wrong with a pitcher who debuted with a 23.1 K% in 56 innings last year and had well above average strikeout rates at every stop of the minors. Though his K% is still below league average, his SwStr% is now in double digits and not just from one start, as it’s been above 12% in three of his five starts now, providing further confidence that things were previously moving in the right direction. Reasons for further optimism are that his ground ball rate (55.8%) has been at least 50% in four of five starts with his hard hit rate (24.1%) has been 25% or below in four of five as well. He doesn’t even average 90 mph, with sliders and curves making up 50% of his pitches and he only throws 40% of his pitches in the strike zone, while getting an average rate of swings outside the strike zone. Nobody has yet really even tried to figure out what he’s doing (at least not that I’ve read), but his results suggest an All-Star caliber pitcher. He’s got a tougher matchup with a Detroit team that hammers RHP (29.0 Hard-Soft%), but the larger concern might be that Detroit is the top offense against ground ball pitchers (148 sOPS+) with an offense that improves 42% above their overall mark.

Chris Archer has virtually the same SwStr% and K% as the guy directly below him, which is great for Keuchel, but a decline for Archer. Oddly, the results have improved, while the peripherals and estimators have risen. His ground ball rate is down 10 points and his hard hit rate is up six points, but he’s not getting to too many of those perfect launch angles that would result in Barrels, which is why he’s only allowed three HRs after allowing 30 last year. The walk rate is the highest of his career too. This is not what we mean when we talk about regression. Results are expected to improve (and they did in the second half last year) only if we expect the process to stay strong. In this case it’s not, so let’s see if we can see why.

The velocity is the same, but he seems to have almost completely ditched his change-up and is now throwing his slider (48%) even more than his fastball (47.7%). There doesn’t seem to be much of a change in the shape of the pitch. It actually seems as if his slider is getting a bit more drop, if anything, though it’s generating just 16% whiffs after getting 20% whiffs over the last three years. Perhaps the additional drop is what’s generating better launch angles? That’s just a guess, but his chase rate (27%) is now below average too.

He’s facing good offenses, which includes the AL East and Detroit. Unfortunately, he can’t face his own team, but perhaps the strikeouts will come with a decline in competition. His SwStr rate isn’t even that much lower than last season. He does seem to have benefit from a bit of fortune so far though. Tonight, he gets Toronto for the third time this season and second in a row. They’ve looked a bit better this week, but are extremely right-handed (which is perhaps another reason he’s ditched his changeup – he’s faced mostly predominantly right-handed teams so far), while he’s had an 11 SwStr% in both starts against them, striking out 13 of 57 batters, pitching into the eighth inning each time. Toronto has an 84 sOPS+ against power pitchers in addition to their 80 wRC+ vs RHP.

Dallas Keuchel is dominating the bottom of the strike zone and below it, as he’s only throwing 35.6% of his pitches in the strike zone, yet his walk rate is a respectable 6.7%, while his 11.0 SwStr% is the best of his career. He’s gone at least seven innings in every start, allowing only even two runs one time with at least seven strikeouts in three of his last four. His ground ball rate is back up to 62.8% with a -5.2 Hard-Soft% and the lowest aEV on the board (84.9 mph). The Angels don’t strike out (17.5% vs LHP), but don’t have much power either (3.4 HR/FB). They have an 89 sOPS+ vs ground ball pitchers.

Danny Salazar has the highest SwStr% on the board (second highest in baseball) and is one of five pitchers with a strikeout rate above 29% pitching today. However, an 11.1 BB% has allowed him to go 6.1 innings only once, while a .354 BABIP isn’t helping matters either. His ground ball rate is 10 points below his career level with just a 23.5 Hard%. While there may be more HRs in his future, the BABIP should be a fluke. He has one of the top matchups on the board in Kansas City, who add a 78 sOPS+ vs power pitchers.

Eduardo Rodriguez has exhibited a major control issue (14.7 BB%), which has not allowed him to go past six innings, but he settled down to just two in his last start with nine strikeouts and he’s otherwise become a bat missing machine with a SwStr% would be top five in the majors if he had a few more innings to qualify. He has generated just 13 ground balls with a 34.0 Hard% through four starts. A 10% Barrels/BBE is concerning with runners frequently on the base paths, but his Barrels/PA is reasonably just half that due to all the strikeouts. Minnesota has been surprisingly poor vs LHP this year. They walk a ton (11.1% vs LHP), which can be a problem tonight, but they somehow hit for no power (5.2 HR/FB vs LHP) despite a 23.1 HR/FB over the last week. They’ve also been about average against both power and fly ball pitchers.

Michael Fulmer is still beating his estimators with an even lower BABIP (.220) and even higher LOB% (81) with a 13.7 K-BB% very similar to last season. A few ground balls have turned into line drives with hard contact on about one-third of batted balls, which is up just a bit and his SwStr% has dipped a bit over a point to barely over 9%. His estimators mostly still see something of a league average pitcher. With that said, he’s in a decent spot in Oakland against an offense hitting for a bit more power, but also striking out at a high rate (24.5% vs RHP).

Stephen Strasburg has been incredibly consistent in terms of results: seven innings of two or three run ball in all five of them. Those are all quality starts. He’s struck out eight to 10 in three of them, but just a total of five in the other two, though those are the only two starts where he didn’t walk anyone. His ground ball rate, which has fluctuated wildly in past seasons, is currently the highest of his career (53.1%). The Phillies are improved as an offense, but still have a 24.0 K% vs RHP.

Yu Darvish has struck out at least eight in three of his last four, but his SwStr% is pretty borderline in supporting a strikeout rate that high, being above 11.5% in just one start. That’s still quality work and with a career 30 K% on a 12.0 SwStr%, he tends to run a bit higher on that scale. His hard contact and walk rates are up a bit, but his exit velocity and barrel count are fine. He faces a very tough offense, but the significant park bump he gets makes it nearly comparable to facing a league average offense at home.

Zack Greinke with reduced velocity was supposed to be a fairly easy pass in Coors tonight, but as we’ve noted last time, he’s been pitching extremely well with less velocity so far. He’s now struck out 20 of his last 51 batters and true it was the Padres and Rockies, but both were at home in a very unfriendly park and he’s facing the same, severely under-performing offense here. His four start string of improving swinging strike rates stopped with a drop to 13.1% in his last start, but he started at 9.8% in his first start and has been above that in every one since. The hard contact is definitely too much at 38.5% and he can make fewer mistakes with lesser stuff, while Coors still makes this a dangerous spot, but there might be some benefit here.

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 (.298 BABIP – 72.3 LOB% – 13.3 HR/FB)

Mike Foltynewicz (.264 – 75.5% – 11.1) has an excellent batted ball profile, so I feel alright with his BABIP. There were three unearned runs in his last start, which probably explains part of the gap as well. He walked more than he struck out in each of his first two starts, but has bounced back with 15 Ks to just two walks over his last two against the Phillies and Brewers. I’m still not sure what we think about those offenses this year, but I’m finding it hard to hate him for $7.4K on either site. In the end, the Cardinals still hit RHP well and a park that fly balls seem to carry well in so far is in line for some strong winds out towards left tonight. I suppose he may be usable if Fowler and Piscotty, who both left last night’s game, are out of the lineup tonight.

Wade Miley (.254 – 89.4% 13.0) has only failed to generate at least eight strikeouts against the Yankees in two starts, though his higher strikeout starts were against either poor or high strikeout offenses. While his league average SwStr% is nearly tied with his 9.7% career high, it projects for something closer to a league average strikeout rate than an elite one, especially with an 18.8% career mark. The other matter is that the White Sox have been much more than competent against LHP with a low 16.8 K%.

Lance Lynn (.228 – 84.5% – 13.8) still has massive issues with LHBs and has always suffered a bit on the road. Additionally, Kevin is calling for strong outward bound winds to left in this game in a park that has so far shown to be very power friendly.

Miguel Gonzalez (.302 – 75.4% – 6.0) additionally has to worry about a strong wind blowing out to left in Baltimore tonight, even if the offense hasn’t been performing up to their normal standards thus far.

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

Nick Pivetta had a strong showing in his debut, holding down the Dodgers for five innings, while striking out five of 23 batters faced. Fangraphs graded the 24 year old as a very low end prospect (27th in the system with a 40 grade) and “thinks his future is in the bullpen” http://www.fangraphs.com/blogs/top-33-prospects-philadelphia-phillies/ due to expected issues with LHBs, though that certainly wasn’t the case in his first start. There have been several more articles over there about him the last two weeks, which I’m not going to link to, but you can see under his player page on that site. One looked in at his first start and didn’t see much difference from the scouting reports. Another remarked about increased fastball velocity and a 30.5 K-BB% through three AAA starts after a professional high of 16.8% through five AAA starts last year. There may be something more there than originally thought a month ago or it may be an unknown pitcher excelling in his debut. I couldn’t argue much with a flyer as an SP2 for $4.7K on DraftKings, but he’s facing a tough Washington offense that should have a little more information in a power friendly park.

Kenta Maeda should be better and has an enormous SwStr%. He’s allowed seven HRs already with much more contact in the air this season. This is made all the more frustrating by the fact that he might be in the top spot on the board tonight, but even at his best, he was a five-inning pitcher, a target he has not exceeded in four of his five starts. Should it then be encouraging that he turned in his best outing last time out, lasting seven innings with 101 pitchers or discouraging that they may be even more cautious this time out?

Francisco Liriano continues a theme of high strikeout pitchers with double digit walk rates. The fact that the Rays strike out 26.8% of the time vs LHP should be an additional benefit, but his upside to risk ratio outlook is not as positive as some of the other pitchers. His ground ball rate is down five points to a mere league average this season, yet he’s somehow allowed just a single HR after having some severe HR issues in the past. Tampa Bay does lose 45% of their overall offensive output against power pitchers though (70 sOPS+).

Yovani Gallardo possesses more positive qualities than I expected to see this year. Increased velocity had led to a career high 9.3 SwStr% and his batted ball profile has always been decent. He’s struck out 14 of his last 50 batters over his last two starts, but did not generate one weakly hit ball. He does pitch in a favorable park against an average offense too. He might be becoming more interesting, but with a long history of less than mediocracy trailing a couple of good starts.

Jhoulys Chacin was destroyed by a Dodgers’ offense that likes to beat on RHP in his first start of the year. Since that time, three of his last five have been at least decent from a fantasy perspective. He does get them at home, though either park is really favorable and costs very little, but I’m not sold on his sustaining his current strikeout rate.

Jason Hammel

German Marquez

Jesse Chavez has walked six of his 11 batters over his last two starts with a HR allowed in three straight and just three strikeouts last time out. This is more a Houston problem though. They’re hitting for power and not striking out much. The Astros may represent one of the day’s worst matchups even in a squarely negative run environment.

Rafael Montero

Chad Kuhl is missing a lot of bats and FIP really likes him, but he can’t sustain a 3.1 HR/FB and he’s walking too many batters (11.1%) for his SwStr rate to matter much.

Tom Koehler

Phil Hughes

Jimmy Nelson is probably getting rained out anyway.

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%
Andrew Triggs Athletics L2 Years 21.6% 5.3% Home 20.0% 6.3% L14 Days 26.5% 4.1%
Bronson Arroyo Reds L2 Years 16.4% 8.2% Home 19.1% 2.9% L14 Days 21.4% 9.5%
Chad Kuhl Pirates L2 Years 17.6% 7.8% Home 13.1% 15.0% L14 Days 13.9% 13.9%
Chris Archer Rays L2 Years 27.7% 8.0% Home 29.2% 8.1% L14 Days 17.0% 11.9%
Dallas Keuchel Astros L2 Years 22.8% 6.0% Road 20.2% 8.4% L14 Days 22.6% 8.1%
Danny Salazar Indians L2 Years 26.7% 9.0% Road 29.0% 12.4% L14 Days 30.0% 12.0%
Eduardo Rodriguez Red Sox L2 Years 21.3% 8.5% Road 24.2% 9.1% L14 Days 32.7% 14.3%
Francisco Liriano Blue Jays L2 Years 24.5% 10.5% Road 20.9% 13.1% L14 Days 16.7% 16.7%
German Marquez Rockies L2 Years 17.0% 6.8% Home 15.6% 6.5% L14 Days 20.4% 8.2%
Jason Hammel Royals L2 Years 22.3% 7.5% Home 21.8% 8.9% L14 Days 27.0% 16.2%
Jesse Chavez Angels L2 Years 20.6% 7.0% Home 23.6% 6.2% L14 Days 20.7% 10.3%
Jhoulys Chacin Padres L2 Years 18.8% 8.7% Home 20.3% 6.4% L14 Days 24.5% 8.2%
Jimmy Nelson Brewers L2 Years 18.3% 9.6% Road 16.6% 10.5% L14 Days 14.3% 14.3%
Kenta Maeda Dodgers L2 Years 24.9% 6.8% Road 23.9% 6.1% L14 Days 25.0% 3.9%
Kyle Hendricks Cubs L2 Years 22.5% 6.3% Home 23.6% 4.9% L14 Days 20.0% 11.1%
Lance Lynn Cardinals L2 Years 20.8% 9.3% Road 23.9% 13.0% L14 Days 26.1% 8.7%
Matt Cain Giants L2 Years 17.3% 7.8% Road 17.4% 7.1% L14 Days 24.4% 2.4%
Michael Fulmer Tigers L2 Years 20.5% 6.6% Road 20.7% 7.1% L14 Days 19.6% 7.8%
Michael Pineda Yankees L2 Years 26.1% 5.4% Road 27.4% 6.8% L14 Days 31.1% 6.7%
Miguel Gonzalez White Sox L2 Years 16.5% 6.9% Road 15.8% 7.4% L14 Days 10.2% 3.4%
Mike Foltynewicz Braves L2 Years 20.7% 6.9% Home 21.4% 9.1% L14 Days 30.0% 4.0%
Nick Pivetta Phillies L2 Years 21.7% 4.4% Home L14 Days 21.7% 4.4%
Phil Hughes Twins L2 Years 13.3% 3.5% Home 15.8% 3.6% L14 Days 11.8% 2.0%
Rafael Montero Mets L2 Years 19.3% 17.8% Home 19.2% 17.8% L14 Days
Stephen Strasburg Nationals L2 Years 30.1% 6.1% Road 30.9% 8.3% L14 Days 21.8% 3.6%
Tom Koehler Marlins L2 Years 18.2% 10.3% Road 18.4% 11.1% L14 Days 23.8% 7.1%
Wade Miley Orioles L2 Years 19.7% 7.7% Home 23.1% 8.8% L14 Days 30.5% 14.6%
Yovani Gallardo Mariners L2 Years 15.6% 9.8% Home 15.9% 11.6% L14 Days 28.0% 8.0%
Yu Darvish Rangers L2 Years 30.5% 8.5% Road 33.6% 7.7% L14 Days 33.3% 9.3%
Zack Greinke Diamondbacks L2 Years 22.6% 5.4% Road 23.1% 5.2% L14 Days 39.2% 3.9%

K/BB Chart – Opponent

Opponent Split K% BB% Split K% BB% Split K% BB%
Tigers Road 23.1% 10.6% RH 21.7% 11.0% L7Days 21.2% 10.6%
Giants Road 21.0% 7.7% RH 20.0% 7.2% L7Days 24.3% 6.6%
Brewers Road 21.9% 7.9% RH 25.3% 8.3% L7Days 21.1% 7.9%
Blue Jays Road 21.9% 8.9% RH 22.0% 7.6% L7Days 16.4% 8.4%
Angels Home 17.9% 7.2% LH 17.5% 10.2% L7Days 19.3% 9.6%
Royals Home 18.1% 7.1% RH 20.0% 6.7% L7Days 12.7% 6.1%
Twins Home 21.4% 12.7% LH 19.0% 11.1% L7Days 22.7% 11.1%
Rays Home 22.9% 10.0% LH 26.8% 13.5% L7Days 25.5% 15.0%
Diamondbacks Road 28.2% 8.9% RH 24.9% 8.8% L7Days 24.8% 9.7%
Indians Road 18.9% 10.0% RH 21.3% 9.6% L7Days 22.7% 9.5%
Astros Road 19.8% 10.1% RH 18.7% 8.1% L7Days 15.7% 8.0%
Dodgers Road 21.5% 10.1% RH 20.8% 9.8% L7Days 20.3% 7.0%
Pirates Home 18.8% 10.5% RH 16.9% 9.0% L7Days 16.7% 13.2%
Padres Home 22.1% 9.0% RH 25.6% 7.3% L7Days 21.3% 8.2%
Yankees Road 20.7% 9.7% RH 21.2% 10.4% L7Days 22.5% 12.6%
Braves Home 18.5% 9.0% RH 19.5% 8.4% L7Days 15.5% 7.6%
Reds Home 22.2% 7.5% RH 19.9% 8.1% L7Days 21.3% 8.7%
Athletics Home 24.1% 9.0% RH 24.5% 9.8% L7Days 25.6% 10.3%
Cubs Home 20.2% 10.1% RH 21.2% 9.1% L7Days 17.3% 9.9%
Orioles Home 19.6% 8.5% RH 20.8% 7.4% L7Days 25.1% 7.8%
Cardinals Road 21.0% 7.3% RH 20.6% 9.8% L7Days 20.0% 11.8%
Nationals Road 19.4% 11.2% RH 19.2% 10.7% L7Days 24.1% 11.6%
Red Sox Road 16.7% 8.5% RH 16.8% 7.7% L7Days 15.8% 8.5%
Marlins Road 20.5% 6.1% RH 20.7% 6.1% L7Days 21.0% 7.9%
Phillies Home 20.2% 8.6% RH 24.0% 7.7% L7Days 24.1% 8.7%
Mets Home 20.1% 9.2% RH 19.8% 9.5% L7Days 15.4% 8.5%
White Sox Road 22.5% 6.1% LH 16.8% 8.9% L7Days 20.9% 7.7%
Rangers Road 24.3% 8.5% RH 23.8% 8.7% L7Days 32.4% 8.3%
Mariners Home 19.7% 10.4% RH 21.2% 8.7% L7Days 25.4% 8.3%
Rockies Home 19.4% 7.1% RH 21.7% 8.2% L7Days 29.2% 7.2%

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%
Andrew Triggs Athletics L2 Years 26.0% 8.7% 8.7% 2017 24.1% 3.7% 10.3% Home 26.8% 5.6% 13.4% L14 Days 29.0% 10.0% 19.3%
Bronson Arroyo Reds L2 Years 31.3% 17.6% 18.0% 2017 31.3% 17.6% 18.0% Home 35.9% 18.2% 24.6% L14 Days 31.0% 9.1% 17.2%
Chad Kuhl Pirates L2 Years 33.4% 7.2% 14.7% 2017 34.7% 3.1% 18.7% Home 39.3% 13.2% 27.7% L14 Days 30.8% 14.3% 11.6%
Chris Archer Rays L2 Years 33.2% 12.6% 16.1% 2017 38.4% 6.7% 23.2% Home 32.6% 9.3% 15.8% L14 Days 43.9% 12.5% 26.8%
Dallas Keuchel Astros L2 Years 25.2% 16.1% 1.5% 2017 22.2% 15.4% -5.2% Road 30.5% 20.2% 11.1% L14 Days 27.9% 16.7% 7.0%
Danny Salazar Indians L2 Years 29.9% 12.0% 13.5% 2017 23.5% 10.7% 7.3% Road 30.9% 11.0% 13.2% L14 Days 21.4% 13.3% 3.5%
Eduardo Rodriguez Red Sox L2 Years 30.0% 11.2% 9.6% 2017 34.0% 16.0% 18.0% Road 30.5% 8.6% 10.2% L14 Days 23.1% 7.7% 7.7%
Francisco Liriano Blue Jays L2 Years 29.7% 15.3% 8.1% 2017 22.6% 5.9% 14.5% Road 32.4% 24.3% 12.9% L14 Days 9.7% 0.0% -3.2%
German Marquez Rockies L2 Years 29.4% 9.1% 16.6% 2017 28.6% 0.0% 17.2% Home 24.6% 0.0% 8.8% L14 Days 28.6% 0.0% 17.2%
Jason Hammel Royals L2 Years 33.3% 12.7% 14.7% 2017 32.4% 3.3% 10.8% Home 28.9% 8.3% 7.2% L14 Days 26.3% 14.3% 5.2%
Jesse Chavez Angels L2 Years 32.2% 13.5% 15.0% 2017 35.6% 15.2% 21.2% Home 29.4% 18.8% 11.7% L14 Days 42.5% 16.7% 20.0%
Jhoulys Chacin Padres L2 Years 31.8% 12.0% 13.5% 2017 27.4% 12.9% 8.5% Home 26.1% 4.3% 4.8% L14 Days 21.2% 25.0% -6.1%
Jimmy Nelson Brewers L2 Years 31.4% 13.8% 11.8% 2017 31.5% 11.4% 17.4% Road 31.9% 13.4% 12.7% L14 Days 31.4% 8.3% 8.5%
Kenta Maeda Dodgers L2 Years 29.2% 13.2% 9.7% 2017 30.4% 20.0% 13.9% Road 30.6% 16.1% 10.3% L14 Days 37.8% 25.0% 18.9%
Kyle Hendricks Cubs L2 Years 26.1% 11.5% 4.0% 2017 35.0% 19.2% 10.0% Home 27.0% 8.6% 1.4% L14 Days 25.8% 9.1% 0.0%
Lance Lynn Cardinals L2 Years 28.0% 9.3% 9.8% 2017 30.1% 13.8% 12.0% Road 34.5% 27.3% 20.7% L14 Days 33.3% 11.1% 3.3%
Matt Cain Giants L2 Years 32.5% 14.1% 13.2% 2017 26.8% 9.4% 10.9% Road 33.3% 15.8% 14.0% L14 Days 20.0% 0.0% 0.0%
Michael Fulmer Tigers L2 Years 30.9% 11.8% 12.5% 2017 33.7% 15.4% 19.7% Road 29.5% 12.8% 10.7% L14 Days 33.3% 22.2% 22.2%
Michael Pineda Yankees L2 Years 31.6% 16.9% 14.4% 2017 28.4% 20.8% 14.9% Road 30.4% 12.3% 12.3% L14 Days 28.6% 25.0% 14.3%
Miguel Gonzalez White Sox L2 Years 29.0% 10.2% 11.1% 2017 30.3% 6.0% 9.2% Road 30.9% 7.1% 12.4% L14 Days 39.2% 4.0% 15.7%
Mike Foltynewicz Braves L2 Years 30.5% 13.7% 10.5% 2017 25.3% 11.1% 4.0% Home 29.2% 7.5% 9.9% L14 Days 15.2% 16.7% -12.1%
Nick Pivetta Phillies L2 Years 52.9% 12.5% 47.0% 2017 52.9% 12.5% 47.0% Home L14 Days 52.9% 12.5% 47.0%
Phil Hughes Twins L2 Years 35.2% 12.6% 19.8% 2017 47.4% 9.1% 32.7% Home 42.1% 17.3% 30.8% L14 Days 41.9% 4.8% 21.0%
Rafael Montero Mets L2 Years 31.8% 16.0% 16.5% 2017 32.1% 0.0% 21.4% Home 26.1% 7.7% 2.2% L14 Days
Stephen Strasburg Nationals L2 Years 27.7% 11.8% 5.7% 2017 27.3% 6.7% 4.1% Road 21.9% 5.0% -4.3% L14 Days 24.4% 7.7% 0.0%
Tom Koehler Marlins L2 Years 32.0% 12.5% 13.9% 2017 37.7% 25.0% 26.0% Road 27.2% 11.9% 6.9% L14 Days 51.7% 22.2% 41.4%
Wade Miley Orioles L2 Years 29.3% 13.2% 11.5% 2017 34.3% 13.0% 15.7% Home 32.8% 17.9% 15.4% L14 Days 35.6% 13.3% 11.2%
Yovani Gallardo Mariners L2 Years 26.4% 9.6% 10.0% 2017 25.8% 8.0% 9.7% Home 24.9% 11.1% 6.4% L14 Days 31.3% 0.0% 31.3%
Yu Darvish Rangers L2 Years 31.7% 12.1% 11.3% 2017 36.2% 12.5% 22.4% Road 22.1% 10.4% -4.7% L14 Days 32.3% 15.4% 9.7%
Zack Greinke Diamondbacks L2 Years 29.4% 10.9% 8.7% 2017 38.5% 12.8% 20.2% Road 27.1% 15.4% 5.4% L14 Days 37.9% 23.1% 20.7%

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% 14.7% 14.7% RH 45.2% 11.8% 29.0% L7Days 47.1% 6.7% 30.1%
Giants Road 31.2% 10.1% 12.4% RH 25.8% 6.0% 6.7% L7Days 25.3% 5.8% 4.8%
Brewers Road 30.6% 22.1% 12.1% RH 33.8% 21.2% 14.5% L7Days 33.8% 18.8% 15.7%
Blue Jays Road 33.1% 12.7% 13.0% RH 31.2% 11.3% 9.6% L7Days 32.5% 13.8% 13.6%
Angels Home 26.2% 11.6% 7.1% LH 28.7% 3.4% 15.9% L7Days 33.1% 12.5% 13.7%
Royals Home 29.6% 8.1% 7.9% RH 30.1% 11.6% 8.2% L7Days 33.9% 8.3% 13.4%
Twins Home 33.2% 12.3% 14.8% LH 33.6% 5.2% 16.3% L7Days 33.3% 23.1% 14.7%
Rays Home 35.1% 13.7% 14.7% LH 32.4% 8.6% 7.4% L7Days 30.3% 13.1% 6.2%
Diamondbacks Road 30.0% 11.9% 12.3% RH 35.0% 16.0% 19.6% L7Days 34.2% 18.5% 18.4%
Indians Road 37.9% 8.8% 19.8% RH 34.6% 12.6% 17.3% L7Days 32.2% 4.5% 17.4%
Astros Road 32.7% 11.7% 12.8% RH 31.8% 14.0% 11.7% L7Days 27.4% 14.7% 8.0%
Dodgers Road 29.9% 8.4% 11.6% RH 33.8% 13.5% 18.9% L7Days 37.7% 15.4% 29.7%
Pirates Home 26.8% 10.1% 4.9% RH 28.8% 7.4% 8.2% L7Days 32.3% 10.8% 14.6%
Padres Home 25.8% 13.4% 3.0% RH 28.9% 17.9% 7.6% L7Days 23.5% 13.1% -1.2%
Yankees Road 28.4% 9.9% 8.7% RH 29.6% 17.0% 7.7% L7Days 25.6% 27.0% 3.0%
Braves Home 32.5% 13.0% 14.4% RH 31.6% 12.0% 13.4% L7Days 37.2% 15.1% 18.9%
Reds Home 29.1% 14.3% 7.2% RH 29.2% 12.5% 6.8% L7Days 30.6% 14.0% 5.6%
Athletics Home 29.8% 16.5% 13.4% RH 35.1% 13.3% 18.0% L7Days 35.1% 11.3% 16.9%
Cubs Home 26.5% 11.4% 8.2% RH 28.7% 9.9% 12.2% L7Days 31.0% 15.9% 15.7%
Orioles Home 26.3% 10.0% 8.1% RH 30.8% 13.4% 10.9% L7Days 34.2% 10.9% 15.3%
Cardinals Road 34.3% 12.4% 18.1% RH 28.6% 12.7% 8.6% L7Days 28.8% 15.8% 6.8%
Nationals Road 29.5% 14.7% 12.7% RH 31.0% 13.9% 15.5% L7Days 39.4% 20.4% 29.7%
Red Sox Road 34.8% 5.9% 13.6% RH 38.3% 7.6% 19.9% L7Days 39.5% 12.3% 22.2%
Marlins Road 29.0% 12.6% 8.9% RH 30.1% 12.7% 10.3% L7Days 29.8% 5.6% 9.6%
Phillies Home 28.7% 14.6% 4.5% RH 30.3% 13.6% 8.1% L7Days 33.2% 13.8% 12.1%
Mets Home 28.3% 8.9% 7.8% RH 31.6% 12.0% 12.1% L7Days 38.0% 16.0% 17.3%
White Sox Road 24.9% 12.3% 8.8% LH 28.7% 9.3% 12.2% L7Days 29.0% 14.5% 11.6%
Rangers Road 28.0% 14.1% 8.7% RH 33.8% 17.4% 15.8% L7Days 34.7% 21.4% 17.4%
Mariners Home 30.5% 10.6% 11.4% RH 30.2% 11.8% 12.9% L7Days 29.1% 14.5% 16.9%
Rockies Home 31.6% 18.1% 12.9% RH 31.6% 12.6% 11.1% L7Days 34.2% 13.0% 19.0%

K/SwStr Chart (2016 LG AVG – 20.2 K% – 9.5 SwStr% – 2.13 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%
Andrew Triggs OAK 18.6% 10.4% 1.79 18.6% 10.4% 1.79
Bronson Arroyo CIN 16.4% 7.2% 2.28 16.4% 7.2% 2.28
Chad Kuhl PIT 17.6% 12.1% 1.45 17.6% 12.1% 1.45
Chris Archer TAM 22.4% 11.8% 1.90 23.5% 11.9% 1.97
Dallas Keuchel HOU 21.8% 11.0% 1.98 22.9% 11.2% 2.04
Danny Salazar CLE 33.3% 15.9% 2.09 33.3% 15.9% 2.09
Eduardo Rodriguez BOS 32.6% 14.9% 2.19 32.6% 14.9% 2.19
Francisco Liriano TOR 24.3% 11.4% 2.13 24.3% 11.4% 2.13
German Marquez COL 20.4% 8.8% 2.32 20.4% 8.8% 2.32
Jason Hammel KAN 17.6% 8.2% 2.15 17.6% 8.2% 2.15
Jesse Chavez ANA 20.5% 9.7% 2.11 20.5% 9.7% 2.11
Jhoulys Chacin SDG 18.5% 6.4% 2.89 20.0% 7.1% 2.82
Jimmy Nelson MIL 18.3% 8.1% 2.26 18.3% 8.1% 2.26
Kenta Maeda LOS 24.1% 14.3% 1.69 24.1% 14.3% 1.69
Kyle Hendricks CHC 19.3% 6.2% 3.11 19.3% 6.2% 3.11
Lance Lynn STL 20.8% 9.2% 2.26 20.8% 9.2% 2.26
Matt Cain SFO 19.5% 7.2% 2.71 19.5% 7.2% 2.71
Michael Fulmer DET 21.0% 9.1% 2.31 21.0% 9.1% 2.31
Michael Pineda NYY 32.2% 14.7% 2.19 32.2% 14.7% 2.19
Miguel Gonzalez CHW 15.1% 8.1% 1.86 15.1% 8.1% 1.86
Mike Foltynewicz ATL 21.3% 10.0% 2.13 21.3% 10.0% 2.13
Nick Pivetta PHI 21.7% 11.0% 1.97 21.7% 11.0% 1.97
Phil Hughes MIN 14.5% 5.9% 2.46 14.5% 5.9% 2.46
Rafael Montero NYM 14.3% 8.6% 1.66 14.3% 8.6% 1.66
Stephen Strasburg WAS 22.6% 10.4% 2.17 25.5% 11.1% 2.30
Tom Koehler MIA 18.5% 8.4% 2.20 18.5% 8.4% 2.20
Wade Miley BAL 29.7% 9.6% 3.09 29.7% 9.6% 3.09
Yovani Gallardo SEA 18.3% 9.3% 1.97 18.3% 9.3% 1.97
Yu Darvish TEX 27.0% 10.2% 2.65 29.6% 11.2% 2.64
Zack Greinke ARI 26.3% 12.9% 2.04 27.5% 13.5% 2.04


Wade Miley has the elite strikeout rate that I’m most comfortable in believing won’t stick, while Chad Kuhl could be more interesting on the other end if he threw more strikes.

ERA Estimators Chart (2016 LG AVG – 4.34 ERA – 4.30 SIERA – 4.24 xFIP – 4.30 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
Andrew Triggs OAK 1.84 3.81 1.97 4 2.16 2.91 1.07 2.02 0.18 1.84 3.82 1.98 4 2.16 2.91 1.07
Bronson Arroyo CIN 7.2 4.85 -2.35 4.95 -2.25 5.8 -1.4 11.78 4.58 7.2 4.85 -2.35 4.95 -2.25 5.8 -1.4
Chad Kuhl PIT 6.26 5.05 -1.21 5.54 -0.72 3.78 -2.48 3.53 -2.73 6.26 5.05 -1.21 5.54 -0.72 3.78 -2.48
Chris Archer TAM 3.43 4.18 0.75 4.29 0.86 3.38 -0.05 1.77 -1.66 3.62 4.24 0.62 4.41 0.79 3.66 0.04
Dallas Keuchel HOU 1.21 3.35 2.14 3.21 2 3.4 2.19 1.03 -0.18 1.43 3.2 1.77 2.99 1.56 3.44 2.01
Danny Salazar CLE 4.34 3.26 -1.08 3.41 -0.93 3.15 -1.19 1.67 -2.67 4.34 3.26 -1.08 3.41 -0.93 3.15 -1.19
Eduardo Rodriguez BOS 2.7 3.87 1.17 3.97 1.27 4.42 1.72 1.05 -1.65 2.7 3.87 1.17 3.97 1.27 4.42 1.72
Francisco Liriano TOR 3.97 4.6 0.63 4.21 0.24 3.53 -0.44 2.55 -1.42 3.97 4.61 0.64 4.21 0.24 3.53 -0.44
German Marquez COL 7.2 4.12 -3.08 4.08 -3.12 2.24 -4.96 9.00 1.80 7.2 4.12 -3.08 4.08 -3.12 2.24 -4.96
Jason Hammel KAN 6.65 5.17 -1.48 5.67 -0.98 3.97 -2.68 4.91 -1.74 6.65 5.18 -1.47 5.67 -0.98 3.97 -2.68
Jesse Chavez ANA 4.5 4.29 -0.21 4.24 -0.26 4.58 0.08 5.75 1.25 4.5 4.29 -0.21 4.24 -0.26 4.58 0.08
Jhoulys Chacin SDG 5.82 4.23 -1.59 4.12 -1.7 4.13 -1.69 4.68 -1.14 3.82 3.9 0.08 3.7 -0.12 3.24 -0.58
Jimmy Nelson MIL 5.34 4.48 -0.86 4.62 -0.72 4.41 -0.93 7.36 2.02 5.34 4.49 -0.85 4.62 -0.72 4.41 -0.93
Kenta Maeda LOS 6.58 3.7 -2.88 3.9 -2.68 5.16 -1.42 7.76 1.18 6.58 3.7 -2.88 3.9 -2.68 5.16 -1.42
Kyle Hendricks CHC 4.18 4.57 0.39 4.3 0.12 5.08 0.9 6.34 2.16 4.18 4.57 0.39 4.3 0.12 5.08 0.9
Lance Lynn STL 2.45 4.17 1.72 4.21 1.76 4.34 1.89 6.39 3.94 2.45 4.18 1.73 4.21 1.76 4.34 1.89
Matt Cain SFO 2.3 4.36 2.06 4.37 2.07 3.85 1.55 5.21 2.91 2.3 4.36 2.06 4.37 2.07 3.85 1.55
Michael Fulmer DET 3.19 4.01 0.82 3.92 0.73 4.21 1.02 2.12 -1.07 3.19 4.01 0.82 3.92 0.73 4.21 1.02
Michael Pineda NYY 3.14 2.42 -0.72 2.28 -0.86 3.15 0.01 1.34 -1.80 3.14 2.43 -0.71 2.28 -0.86 3.15 0.01
Miguel Gonzalez CHW 3.27 4.88 1.61 5.11 1.84 3.77 0.5 6.00 2.73 3.27 4.88 1.61 5.11 1.84 3.77 0.5
Mike Foltynewicz ATL 2.81 4.12 1.31 4.17 1.36 3.94 1.13 4.18 1.37 2.81 4.12 1.31 4.17 1.36 3.94 1.13
Nick Pivetta PHI 3.6 3.84 0.24 4.31 0.71 4.24 0.64 6.94 3.34 3.6 3.84 0.24 4.31 0.71 4.24 0.64
Phil Hughes MIN 5.06 4.8 -0.26 5.08 0.02 4.28 -0.78 6.31 1.25 5.06 4.8 -0.26 5.08 0.02 4.28 -0.78
Rafael Montero NYM 9.45 6.08 -3.37 6.59 -2.86 4.84 -4.61 9.89 0.44 9.45 6.08 -3.37 6.59 -2.86 4.84 -4.61
Stephen Strasburg WAS 3.09 3.42 0.33 3.3 0.21 2.62 -0.47 2.05 -1.04 3.21 3.32 0.11 3.16 -0.05 2.72 -0.49
Tom Koehler MIA 5.4 4.79 -0.61 4.63 -0.77 6.4 1 8.37 2.97 5.4 4.79 -0.61 4.63 -0.77 6.4 1
Wade Miley BAL 2.32 4.1 1.78 3.76 1.44 3.79 1.47 1.70 -0.62 2.32 4.1 1.78 3.76 1.44 3.79 1.47
Yovani Gallardo SEA 5.08 4.29 -0.79 3.95 -1.13 3.4 -1.68 4.85 -0.23 5.08 4.29 -0.79 3.95 -1.13 3.4 -1.68
Yu Darvish TEX 3.03 3.9 0.87 3.62 0.59 3.59 0.56 2.82 -0.21 2.51 3.43 0.92 3.26 0.75 3.08 0.57
Zack Greinke ARI 3.19 3.27 0.08 3.29 0.1 3.29 0.1 1.83 -1.36 3.13 3.06 -0.07 2.97 -0.16 2.98 -0.15


In all my glowing about Andrew Triggs, I forgot to mention his .233 BABIP or 3.7 HR/FB, but the contact has been exceptional. I wouldn’t regress him all the way to his estimators because I believe his strikeout rate will improve too.

I’m almost starting to regret including DRA because it seems to disagree so substantially with everything else and I can’t argue for or against it because of the vagueness about what goes into it. Hopefully, it’s just an early season calibration issue that will matchup better in the coming weeks.

BABIP & Statcast Chart (2016 LG AVG – .298 BABIP – 44.3 GB% – 20.9 LD% – 9.5 IFFB% – 87.2 Z-Contact%)

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

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

Pitcher Team Team BABIP Pitcher BABIP Diff GB% Pitcher LD% Pitcher IFFB% Pitcher Zcontact Exit
Velocity
Barrels
BBE
Barrels
PA
BBE
Andrew Triggs OAK 0.271 0.233 -0.038 55.8% 0.128 7.4% 87.9% 88.3 2.30% 1.70% 87
Bronson Arroyo CIN 0.270 0.260 -0.01 37.0% 0.21 2.9% 91.3% 87.3 8.40% 6.40% 83
Chad Kuhl PIT 0.303 0.365 0.062 39.7% 0.164 6.3% 83.8% 86.2 6.70% 4.60% 75
Chris Archer TAM 0.277 0.294 0.017 37.8% 0.216 11.1% 82.7% 88.8 5.40% 3.60% 112
Dallas Keuchel HOU 0.278 0.186 -0.092 62.8% 0.142 0.0% 90.0% 84.9 5.10% 3.60% 117
Danny Salazar CLE 0.318 0.354 0.036 31.8% 0.258 17.9% 76.5% 86.9 8.80% 4.80% 68
Eduardo Rodriguez BOS 0.291 0.239 -0.052 26.0% 0.24 8.0% 73.6% 85.6 10.00% 5.30% 50
Francisco Liriano TOR 0.307 0.328 0.021 45.9% 0.262 0.0% 86.4% 87.8 6.50% 3.90% 62
German Marquez COL 0.282 0.429 0.147 48.6% 0.2 0.0% 88.5% 88.8 0.00% 0.00% 35
Jason Hammel KAN 0.283 0.384 0.101 37.0% 0.219 10.0% 89.2% 87.6 2.70% 1.90% 74
Jesse Chavez ANA 0.290 0.318 0.028 43.3% 0.2 6.1% 87.1% 89.4 6.70% 4.70% 90
Jhoulys Chacin SDG 0.283 0.304 0.021 52.8% 0.179 9.7% 89.3% 86.5 5.70% 4.10% 106
Jimmy Nelson MIL 0.317 0.341 0.024 44.4% 0.167 0.0% 89.3% 87.2 4.30% 3.20% 92
Kenta Maeda LOS 0.296 0.306 0.01 30.7% 0.227 5.7% 82.1% 85.8 7.60% 5.40% 79
Kyle Hendricks CHC 0.285 0.227 -0.058 49.4% 0.177 11.5% 92.6% 85.1 5.00% 3.50% 80
Lance Lynn STL 0.317 0.228 -0.089 46.9% 0.173 3.4% 82.7% 86.2 6.00% 4.20% 83
Matt Cain SFO 0.291 0.253 -0.038 43.2% 0.173 12.5% 85.8% 87.6 2.40% 1.80% 82
Michael Fulmer DET 0.305 0.220 -0.085 43.0% 0.267 3.8% 87.9% 86.7 8.10% 5.60% 86
Michael Pineda NYY 0.283 0.304 0.021 47.9% 0.192 0.0% 84.5% 88.2 5.40% 3.50% 74
Miguel Gonzalez CHW 0.258 0.302 0.044 37.0% 0.167 10.0% 91.3% 87 8.30% 6.50% 109
Mike Foltynewicz ATL 0.286 0.264 -0.022 45.2% 0.178 14.8% 84.8% 85.7 5.30% 3.70% 75
Nick Pivetta PHI 0.277 0.500 0.223 35.3% 0.176 0.0% 85.7% 91.5 5.90% 4.30% 17
Phil Hughes MIN 0.272 0.330 0.058 29.5% 0.242 9.1% 91.7% 90.5 12.60% 10.30% 95
Rafael Montero NYM 0.318 0.571 0.253 51.9% 0.222 0.0% 83.7% 89.4 3.60% 2.40% 28
Stephen Strasburg WAS 0.281 0.268 -0.013 53.1% 0.163 10.0% 87.4% 89 9.10% 6.60% 99
Tom Koehler MIA 0.271 0.300 0.029 36.5% 0.257 3.6% 85.5% 87.2 9.10% 6.50% 77
Wade Miley BAL 0.290 0.254 -0.036 47.8% 0.188 8.7% 88.2% 87.8 5.70% 3.10% 70
Yovani Gallardo SEA 0.305 0.352 0.047 47.3% 0.253 8.0% 84.5% 87.4 4.30% 3.20% 93
Yu Darvish TEX 0.276 0.222 -0.054 39.4% 0.266 3.1% 85.3% 87.4 6.40% 3.90% 94
Zack Greinke ARI 0.300 0.323 0.023 42.2% 0.196 15.4% 85.1% 88.9 6.70% 4.60% 104


Eduardo Rodriguez is generating so many fly balls that I’d expect him to have a BABIP in the lower range, even if he doesn’t maintain this number.

Most guys with at least four starts are within about 50 points now at least, although we’re still seeing some ridiculous things. (I’m staring right at Dallas Keuchel and “(player-popup)Danny Salazar”:/players/danny-salazar-15290’s profiles).

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

Stephen Strasburg (1) has both the strong upside and has been a model of consistency this season, though the strikeouts have been a bit more hit or miss. He’s faced the Phillies twice this year, striking out eight batters each time.

Andrew Triggs is a potential top DraftKings ($6.7K) value despite the rise in cost because it’s still well below what his overall performance merits. While I like him on FanDuel as well (still below $8K), I might drop him a tier because Detroit is elite against GB pitchers and also admit that he may not be a top tier guy on a normal slate. While this isn’t a poor board of options by any stretch, it’s appears fairly accurately priced with any super-value types.

Value Tier Two

Chris Archer (3t) hasn’t appeared as dominant despite a low ERA, but perhaps that’s been mostly a consequence of stiff competition. He’s looked good against the Blue Jays twice already and it appears to be a positive spot against them again at home for less than $10K.

Value Tier Three

Dallas Keuchel (2) won’t retain his .186 BABIP or 98.7 LOB%, but he might have the highest floor tonight. Facing the Angels might be tough on his upside though, and he’s the highest priced pitcher on FanDuel. There’s a bit of an overall bump if Mike Trout misses again, but Ben Revere actually cuts down on strikeout potential.

Danny Salazar (3t) is almost the opposite of the pitcher directly above at a similar cost. He has great upside in a nice spot, but carries a lot of potential risk and may not go very deep into the game.

Zack Greinke is pitching well no matter what the radar gun says. True, it’s been mostly against poor offenses, but in a terrible park and that’s what he’s facing tonight as well. Although the park is more extreme than Arizona, certainly, his price tag is reduced to around $8K to compensate.

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.

Yu Darvish (3t) is not in a great spot with some flaws and the highest price tag on DraftKings, but has as much upside as tonight’s other top strikeout arms.
Eduardo Rodriguez is a bit of a poor man’s Salazar. He costs more than $2K less, but carries more risk. Despite the poor record for the Twins against LHP currently, they have some dangerous RHBs lurking.

Michael Fulmer still may not be as good as his ERA and may be a tough sell on FanDuel for more than $9K, which seems fairly accurate. However, there may be some value for exactly $8K in Oakland, against an offense that is striking out a lot more this year.

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.