Advanced Stats - Pitching: Tuesday, April 18th

Today challenges us with our first full night slate of the season. We’ll skip words on some pitchers today in order to get more words in on others. Last night, fading the chalk (Lackey 50% owned) in favor of any of the other two highly priced pitchers (around 25-30% owned) paid off. Projected ownership numbers may have swayed you in the right direction last night, as performance related projections were much closer.

We’re now up to date on all stats except for team defense, which I’m confident we’ll see next week.

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 -8.3 3.61 4.64 51.0% 0.93 3.77 5.43 TEX 100 107 96
Brett Anderson CHC 9.1 3.66 5.56 64.6% 0.96 6.04 5.08 MIL 126 127 123
Brian Johnson BOS 4.1 6.71 4.1 33.3% 1.03 TOR 67 117 69
Bronson Arroyo CIN 0.4 5.46 5. 36.1% 1.02 5.46 5.46 BAL 134 121 132
Chad Kuhl PIT -2.8 4.5 5.13 42.8% 0.98 3.79 4.48 STL 70 74 69
Hyun-Jin Ryu LOS 2.3 3.89 4.67 45.5% 0.89 4.86 3.36 COL 84 84 45
Jarred Cosart SDG -5.9 5.13 4.6 57.9% 0.91 4.59 6.6 ARI 62 116 66
Jason Hammel KAN 4.9 3.93 5.5 39.8% 1.06 4.07 5.95 SFO 103 86 70
Jimmy Nelson MIL -7.2 4.51 5.75 49.6% 0.96 5 3.02 CHC 81 73 83
Joe Musgrove HOU 4.2 4.17 5.67 45.0% 0.94 4.17 5.35 ANA 48 97 54
Josh Tomlin CLE 5.4 4.04 5.98 42.7% 1.04 3.93 3.65 MIN 106 102 94
Kyle Freeland COL -3.1 4.26 5.1 57.6% 0.89 4.26 LOS 132 129 93
Luis Severino NYY 0.8 3.8 5.08 47.0% 1.01 3.33 2.04 CHW 76 75 75
Marcus Stroman TOR 2.2 3.57 6.48 60.4% 1.03 3.5 3.34 BOS 88 114 129
Matt Andriese TAM -1.4 3.95 5.22 43.5% 0.96 4.04 4.23 DET 123 115 113
Matt Cain SFO 4.8 4.71 5.01 37.2% 1.06 4.81 4.8 KAN 63 81 79
Max Scherzer WAS 1.1 2.82 6.81 34.4% 1 3.75 2.79 ATL 135 105 123
Michael Fulmer DET -5.1 4 6.11 48.7% 0.96 3.89 3.48 TAM 124 101 107
Miguel Gonzalez CHW 3.3 4.61 5.63 39.8% 1.01 4.72 4.39 NYY 144 133 142
Mike Foltynewicz ATL -0.9 4.21 5.55 37.4% 1 4.39 4.8 WAS 116 116 96
Mike Leake STL -5.3 3.97 6.18 53.0% 0.98 3.45 2.75 PIT 73 95 92
Phil Hughes MIN -5.8 4.61 5.81 35.5% 1.04 4.72 4.76 CLE 90 121 120
Ricky Nolasco ANA 6.5 4.27 5.86 41.7% 0.94 4.53 4.12 HOU 105 127 142
Shelby Miller ARI -6.1 4.45 5.79 45.0% 0.91 5.19 3.89 SDG 111 93 77
Ubaldo Jimenez BAL -3.2 4.36 5.47 0.481 1.02 4.92 4.83 CIN 91 100 98
Wei-Yin Chen FLA 2.8 4.02 5.91 0.403 0.89 3.83 3.66 SEA 145 94 141
Yovani Gallardo SEA -4.3 4.97 5.4 0.477 0.89 5.25 5.18 FLA 87 99 89
Yu Darvish TEX 1.9 3.24 5.96 0.401 0.93 2.8 4.19 OAK 100 112 97
Zach Eflin PHI 1.9 5.41 5.74 0.362 0.91 5.77 NYM 72 69 126
Zack Wheeler NYM 1.3 3.3 4.6 0.567 0.91 3.68 3.3 PHI 76 95 63


Andrew Triggs has not allowed a run through two starts, but hasn’t pitched particularly well either with both four walks and strikeouts each. He had just a 3.3 SwStr% in his first start, but that jumped to 12.2% in his last start, while he has had above average strikeout rates not only through the minors, but in his first major league look last year as well. He has not been hit hard either with a low exit velocity, hard contact rate, and few barrels met so far. He’s in a decent spot in a favorable park against an average offense.

Chad Kuhl was a below average pitcher held afloat by a power suppressing park last year. He’s had two very strange starts so far, generating a 16.5 SwStr%, striking out five Braves, but walking six. In the next start, he didn’t walk a single Boston batter, striking out six on just a 7.6 SwStr%. He’s likely neither one of those guys, but more like last year’s version. He’s not throwing any harder or throwing a different proportion or mix of pitches. None of that really makes him interesting here. What makes him the least bit interesting here is that the Cardinals are not hitting and are really banged up. Last night, they had a lineup with Jose Martinez batting fifth and Greg Garcia batting sixth.

Luis Severino struck out 11 Rays in his last start and now has a 35.4 K% against two strikeout prone offenses despite a SwStr% that projects a strong, but not elite strikeout rate. Strangely, it’s been RHBs that have pounded him thus far (although the Orioles and Rays are probably both stronger from the right-side), while he has dominated LHBs on the ground (53.8 GB%, 15.4 Hard%). This is a bit odd for a fastball/slider guy, but it’s been this way for the early part of his career. He is using a changeup more often this year and it’s enhanced his other pitches so far. The White Sox are predominantly right-handed, possessing nearly no LH power, which you might suspect could make them a difficult opponent for him, but they really aren’t a difficult opponent for any RHP (18.0 K-BB%, 25.1 Hard%), especially if Frazier is out again.

Marcus Stroman is an elite ground ball generator, although not so much a weak contact one. A high strand rate (94%) has his ERA below two through two starts, but we need him to miss more bats to remain DFS relevant. He’s not really in a great spot tonight against a Boston lineup that has struck out just 15.4% of the time against RHP so far.

Max Scherzer had some injury concerns at the start of the season, but those are no longer valid after two starts of looking very much like Max Scherzer. The Atlanta offense has looked good so far, but put their home numbers out of your mind because they consistent of a single series against San Diego pitching so far.

Michael Fulmer achieved results beyond his skill set last year and that seems to be the case again through two starts due to a .233 BABIP and 86.2 LOB%. Nor has he missed bats at a rate suggested by K% (sub-9 SwStr% in both starts). He’s generated fewer ground balls (41.9%) and more hard contact (38.7 Hard%, 8.5% Barrels/PA), but he’s in a pretty massive strikeout spot tonight (Rays 28.1% vs RHP) and that trumps all in Daily Fantasy.

Shelby Miller struck out five of 27 Giants in his last start, which is actually a bit of a triumph against that lineup. While he did not hold his 97 mph velocity from his first start, he was still consistently around 95 mph according to Brooke Baseball. He’s still getting hit too hard for our liking (37.1 Hard%, 91.1 mph aEV), but hasn’t found too many barrels and is at least missing bats at a league average rate so far. He also gets to travel to San Diego to face the Padres.

Wei-Yin Chen pitched with an elbow strain last season. The biggest negative result was a sharp increase in hard contact. Through two starts this year, both against the Mets, the hard contact rate is down again, confirmed by Statcast, despite the two HRs allowed in his most recent start. He has a solid 17.1 K-BB% thus far and has been victimized by a .400 BABIP in addition to those HRs. He faces a powerful offense in a more power friendly Safeco now, but it’s still a very negative overall run environment.

Yu Darvish walked, striking out only nine of his first 51 batters, yet turned the tied with a 10 strikeout performance (two walks) against the Angels of all teams. After a 50% hard contact rate in each of his first two starts, it was just 13.3% in his last one, which just goes to show how unstable some of these early numbers are and how quickly they can turn around. He finds a significant park upgrade tonight in Oakland and although the A’s have been decent offensively to this point, they’ve also been striking out a bit more than usual (23.7% vs RHP).

Zack Wheeler looked formidable in his second start against the same Phiadelphia team he’ll be facing tonight. He was commanding his secondary stuff much better than he had pre-surgery, holding his pre-surgery velocity above 94 mph. It fell apart a little bit the third time through the order, when he issued his only walk and left without allowing a run with two outs in the fifth. He was charged with three when the reliever immediately allowed a grand slam, making his line look much worse than it actually was. The fact that he’s walked just two batters total is the biggest surprise for a guy with a double digit walk rate before this season. Assuming a 37.7% strand rate doesn’t sustain, this is a pitcher whose performance the Mets have to be pleased with thus far. He’s in a pretty strong spot at home against the Phillies tonight.

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 Leake (.256 – 90.9% – 0) has done a nice job generating weak contact so far this season, seen in both a 15.4 Hard% and 87.2 mph aEV, but let’s not buy into that high strikeout rate yet with just a 6.1 SwStr% that is actually below his career average. He is in a nice spot against a low powered offense, especially if Polanco is out again, but one that does not strike out much.

Jimmy Nelson (.235 – 94.3% – 6.7) hasn’t been bad. He’s struck out 13 of 51 batters faced, but had just a 5.9 SwStr% in his second start. His velocity is up a bit and he’s trying to throw a few more changeups to counter LHBs. The Cubs haven’t gotten on track yet and were dominated by him in his first start. I just can’t get aboard this train yet though.

Brett Anderson (.235 – 92.3% – 0) is not a bad pitcher when healthy, but he is a low upside one. While he has generated some swinging strikes thus far, that’s not really his game. He’s a ground ball machine, who could see a few more strikeouts against the Brewers, but run into trouble against their RH power without the ability to make up for a three run homer with an accumulation of strikeouts.

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

Matt Andriese isn’t terrible and the Tigers will strike out some (24% vs RHP), but they’re a tough assignment for a RHP (11.8 BB%, 45.6 Hard%), who has been allowing too much hard contact himself (45.5%) through two starts, though there’s some discrepancy between his high hard contact rate and more reasonable Statcast numbers.

Hyun-Jin Ryu is more a victim of cost and pitch count than anything else. He’s in a pretty decent spot at home against the Rockies, who have struggled against LHP for years. However, coming off a two year absence, he’s exited after 77 pitches during the fifth inning of each of his first two starts. You’re probably not using him on a one pitcher site and it’s difficult to justify a pitcher at 75-80% of capacity for $8K on DraftKings.

Joe Musgrove has admitted to faulty mechanics (an inability to repeat his delivery) in his first two starts and, sadly, it’s resulted in just four strikeouts to go along with four walks. Sadly, we must exit here and wait to see if he finds himself. There’s no place for him at $7.2K against a low strikeout opponent.

Ricky Nolasco

Mike Foltynewicz

Josh Tomlin has a new release point that’s producing more ground balls, but the fly balls he is allowing are being smoked and he’s still not missing any bats.

Kyle Freeland

Phil Hughes has been good against a bad team (White Sox) and then bad against a good team (Tigers). He faces another good team today.

Yovani Gallardo

Matt Cain

Miguel Gonzalez

Jarred Cosart

Jason Hammel has not been barreled yet, but has walked as many as he’s struck out, a poor trait to take into battle against the Giants. Oddly, Kansas City is the most run friendly environment in use tonight.

Zach Eflin

Ubaldo Jimenez

Brian Johnson

Bronson Arroyo

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 20.7% 6.0% Home 19.9% 6.9% L14 Days 8.5% 8.5%
Brett Anderson Cubs L2 Years 14.8% 6.5% Home 7.6% 11.3% L14 Days 13.3% 11.1%
Brian Johnson Red Sox L2 Years 15.8% 21.1% Road L14 Days
Bronson Arroyo Reds L2 Years 10.9% 6.5% Home 8.0% 0.0% L14 Days 10.9% 6.5%
Chad Kuhl Pirates L2 Years 18.3% 7.4% Road 21.3% 2.9% L14 Days 22.5% 12.2%
Hyun-Jin Ryu Dodgers L2 Years 21.2% 7.6% Home 16.7% 8.3% L14 Days 23.8% 7.1%
Jarred Cosart Padres L2 Years 15.0% 13.4% Home 17.9% 14.2% L14 Days 9.5% 19.1%
Jason Hammel Royals L2 Years 22.2% 7.0% Home 22.2% 8.9% L14 Days 12.8% 12.8%
Jimmy Nelson Brewers L2 Years 18.4% 9.5% Road 16.9% 10.9% L14 Days 25.5% 3.9%
Joe Musgrove Astros L2 Years 19.6% 6.6% Home 23.8% 7.3% L14 Days 8.9% 8.9%
Josh Tomlin Indians L2 Years 17.9% 3.0% Road 17.7% 3.4% L14 Days 16.7% 5.6%
Kyle Freeland Rockies L2 Years 17.0% 10.6% Road L14 Days 17.0% 10.6%
Luis Severino Yankees L2 Years 22.6% 8.0% Home 25.1% 6.5% L14 Days 35.4% 4.2%
Marcus Stroman Blue Jays L2 Years 19.0% 6.2% Home 17.6% 6.0% L14 Days 15.5% 5.2%
Matt Andriese Rays L2 Years 19.7% 5.4% Home 21.1% 5.3% L14 Days 19.6% 8.7%
Matt Cain Giants L2 Years 17.1% 8.1% Road 18.2% 6.9% L14 Days 19.2% 12.8%
Max Scherzer Nationals L2 Years 31.3% 5.0% Road 29.9% 6.5% L14 Days 33.3% 7.8%
Michael Fulmer Tigers L2 Years 20.6% 6.5% Road 20.4% 7.2% L14 Days 23.4% 6.4%
Miguel Gonzalez White Sox L2 Years 16.8% 7.2% Road 17.1% 8.1% L14 Days 21.2% 11.5%
Mike Foltynewicz Braves L2 Years 20.2% 7.0% Home 22.8% 8.5% L14 Days 16.7% 10.0%
Mike Leake Cardinals L2 Years 16.1% 4.8% Home 17.4% 3.0% L14 Days 24.5% 1.9%
Phil Hughes Twins L2 Years 13.9% 3.4% Home 15.8% 4.1% L14 Days 17.0% 6.4%
Ricky Nolasco Angels L2 Years 18.4% 5.5% Road 17.9% 6.4% L14 Days 20.0% 4.3%
Shelby Miller Diamondbacks L2 Years 18.6% 8.7% Road 13.9% 9.4% L14 Days 23.1% 9.6%
Ubaldo Jimenez Orioles L2 Years 20.1% 9.8% Road 18.2% 10.9% L14 Days 14.0% 7.0%
Wei-Yin Chen Marlins L2 Years 19.3% 4.8% Road 18.7% 3.7% L14 Days 19.5% 2.4%
Yovani Gallardo Mariners L2 Years 15.1% 10.1% Home 16.3% 12.8% L14 Days 12.2% 12.2%
Yu Darvish Rangers L2 Years 30.6% 8.3% Road 35.0% 7.5% L14 Days 24.4% 12.8%
Zach Eflin Phillies L2 Years 11.4% 6.3% Road 9.4% 6.5% L14 Days
Zack Wheeler Mets L2 Years 20.0% 5.0% Home 21.1% 5.3% L14 Days 20.0% 5.0%

K/BB Chart – Opponent

Opponent Split K% BB% Split K% BB% Split K% BB%
Rangers Road 19.6% 8.5% RH 21.1% 8.2% L7Days 19.6% 8.5%
Brewers Road 21.6% 7.4% LH 29.0% 7.3% L7Days 21.6% 7.4%
Blue Jays Home 26.1% 6.6% LH 21.5% 11.8% L7Days 26.1% 6.6%
Orioles Road 22.1% 6.1% RH 20.5% 6.6% L7Days 22.1% 6.1%
Cardinals Home 21.3% 11.8% RH 22.4% 9.3% L7Days 23.8% 6.1%
Rockies Road 20.9% 8.1% LH 24.5% 5.0% L7Days 22.7% 6.6%
Diamondbacks Road 27.8% 7.5% RH 26.9% 8.6% L7Days 29.6% 8.5%
Giants Road 21.0% 8.5% RH 18.5% 7.3% L7Days 18.0% 7.8%
Cubs Home 24.7% 10.0% RH 25.3% 8.5% L7Days 24.5% 8.6%
Angels Road 22.7% 8.0% RH 21.4% 7.9% L7Days 23.6% 8.3%
Twins Home 20.8% 14.6% RH 21.4% 12.1% L7Days 20.1% 12.3%
Dodgers Home 20.4% 11.8% RH 21.2% 12.3% L7Days 23.9% 11.1%
White Sox Road 23.0% 5.1% RH 24.2% 6.2% L7Days 23.0% 5.1%
Red Sox Road 15.3% 9.3% RH 15.4% 7.4% L7Days 13.8% 7.8%
Tigers Road 22.0% 12.0% RH 24.0% 11.8% L7Days 20.6% 8.3%
Royals Home 24.4% 8.3% RH 23.0% 7.3% L7Days 22.1% 7.6%
Braves Home 15.5% 7.7% RH 20.2% 7.6% L7Days 17.7% 7.9%
Rays Home 24.4% 11.8% RH 28.1% 8.0% L7Days 32.0% 8.0%
Yankees Home 21.7% 12.0% RH 21.3% 10.8% L7Days 22.2% 13.6%
Nationals Road 28.9% 10.5% RH 20.3% 8.8% L7Days 16.1% 5.9%
Pirates Road 19.7% 7.2% RH 15.5% 8.2% L7Days 19.7% 8.5%
Indians Road 17.3% 8.6% RH 21.3% 8.8% L7Days 21.4% 10.7%
Astros Home 17.3% 8.3% RH 16.7% 9.5% L7Days 14.9% 11.1%
Padres Home 15.9% 12.4% RH 23.0% 8.2% L7Days 23.7% 8.8%
Reds Home 18.6% 5.7% RH 17.7% 6.5% L7Days 17.3% 5.8%
Mariners Home 17.4% 8.9% LH 13.6% 12.3% L7Days 17.2% 9.0%
Marlins Road 23.0% 6.7% RH 24.1% 6.5% L7Days 24.4% 7.2%
Athletics Home 26.2% 8.5% RH 23.7% 8.3% L7Days 24.6% 8.2%
Mets Home 22.2% 8.6% RH 24.5% 9.7% L7Days 21.4% 10.2%
Phillies Road 24.9% 8.8% RH 23.5% 8.5% L7Days 20.0% 6.1%

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 26.2% 8.9% 7.7% 2017 23.1% 0.0% 7.7% Home 27.4% 3.8% 14.8% L14 Days 23.1% 0.0% 7.7%
Brett Anderson Cubs L2 Years 25.3% 17.2% 0.0% 2017 35.3% 0.0% 8.8% Home 37.2% 21.4% 13.9% L14 Days 35.3% 0.0% 8.8%
Brian Johnson Red Sox L2 Years 25.0% 0.0% 25.0% 2017 Road L14 Days
Bronson Arroyo Reds L2 Years 26.3% 20.0% 18.4% 2017 26.3% 20.0% 18.4% Home 30.4% 16.7% 26.0% L14 Days 26.3% 20.0% 18.4%
Chad Kuhl Pirates L2 Years 32.9% 7.4% 14.5% 2017 32.3% 0.0% 22.6% Road 27.7% 5.0% 4.5% L14 Days 32.3% 0.0% 22.6%
Hyun-Jin Ryu Dodgers L2 Years 39.1% 30.8% 21.7% 2017 35.7% 42.9% 10.7% Home 44.4% 16.7% 38.8% L14 Days 35.7% 42.9% 10.7%
Jarred Cosart Padres L2 Years 28.2% 15.5% 5.7% 2017 40.0% 0.0% 20.0% Home 30.0% 11.1% 4.4% L14 Days 40.0% 0.0% 20.0%
Jason Hammel Royals L2 Years 32.6% 12.7% 13.6% 2017 31.4% 0.0% 8.5% Home 28.1% 8.1% 5.7% L14 Days 31.4% 0.0% 8.5%
Jimmy Nelson Brewers L2 Years 30.9% 13.1% 10.9% 2017 25.7% 6.7% 14.3% Road 31.2% 12.4% 10.9% L14 Days 25.7% 6.7% 14.3%
Joe Musgrove Astros L2 Years 33.5% 13.0% 14.2% 2017 27.8% 8.3% 2.8% Home 31.8% 6.5% 10.9% L14 Days 27.8% 8.3% 2.8%
Josh Tomlin Indians L2 Years 33.8% 17.3% 18.3% 2017 37.0% 33.3% 29.6% Road 35.0% 17.1% 16.2% L14 Days 37.0% 33.3% 29.6%
Kyle Freeland Rockies L2 Years 32.4% 14.3% 3.0% 2017 32.4% 14.3% 3.0% Road L14 Days 32.4% 14.3% 3.0%
Luis Severino Yankees L2 Years 28.0% 17.1% 4.8% 2017 27.6% 20.0% 6.9% Home 30.4% 24.4% 6.7% L14 Days 27.6% 20.0% 6.9%
Marcus Stroman Blue Jays L2 Years 30.9% 16.3% 12.1% 2017 34.8% 16.7% 17.4% Home 32.8% 13.2% 15.0% L14 Days 34.8% 16.7% 17.4%
Matt Andriese Rays L2 Years 34.1% 11.8% 16.2% 2017 45.5% 18.2% 24.3% Home 34.3% 9.9% 16.9% L14 Days 45.5% 18.2% 24.3%
Matt Cain Giants L2 Years 33.5% 15.0% 14.3% 2017 34.4% 16.7% 25.0% Road 34.8% 18.2% 15.7% L14 Days 34.4% 16.7% 25.0%
Max Scherzer Nationals L2 Years 29.0% 11.3% 7.8% 2017 13.8% 0.0% -6.9% Road 31.3% 12.3% 8.1% L14 Days 13.8% 0.0% -6.9%
Michael Fulmer Tigers L2 Years 30.9% 11.0% 12.1% 2017 38.7% 9.1% 25.8% Road 29.9% 11.8% 11.1% L14 Days 38.7% 9.1% 25.8%
Miguel Gonzalez White Sox L2 Years 28.8% 11.2% 12.1% 2017 28.6% 15.4% 17.2% Road 30.1% 8.0% 13.4% L14 Days 28.6% 15.4% 17.2%
Mike Foltynewicz Braves L2 Years 31.2% 13.4% 11.6% 2017 38.1% 12.5% 19.0% Home 29.3% 8.3% 9.3% L14 Days 38.1% 12.5% 19.0%
Mike Leake Cardinals L2 Years 29.4% 13.1% 12.4% 2017 15.4% 0.0% -2.6% Home 23.8% 16.2% 4.2% L14 Days 15.4% 0.0% -2.6%
Phil Hughes Twins L2 Years 34.7% 13.0% 19.0% 2017 50.0% 10.5% 38.9% Home 40.2% 16.7% 28.2% L14 Days 50.0% 10.5% 38.9%
Ricky Nolasco Angels L2 Years 33.2% 11.5% 17.8% 2017 32.7% 17.9% 11.5% Road 39.3% 13.2% 26.1% L14 Days 32.7% 17.9% 11.5%
Shelby Miller Diamondbacks L2 Years 30.2% 8.5% 11.2% 2017 37.1% 8.3% 25.7% Road 31.7% 6.3% 13.4% L14 Days 37.1% 8.3% 25.7%
Ubaldo Jimenez Orioles L2 Years 29.3% 12.6% 10.1% 2017 35.3% 23.1% 14.7% Road 29.4% 8.5% 10.4% L14 Days 35.3% 23.1% 14.7%
Wei-Yin Chen Marlins L2 Years 31.0% 13.1% 11.8% 2017 28.1% 16.7% 9.3% Road 32.9% 19.7% 18.4% L14 Days 28.1% 16.7% 9.3%
Yovani Gallardo Mariners L2 Years 26.0% 9.9% 8.7% 2017 21.6% 11.1% -5.4% Home 24.9% 10.8% 6.7% L14 Days 21.6% 11.1% -5.4%
Yu Darvish Rangers L2 Years 31.4% 11.3% 10.3% 2017 38.8% 6.7% 26.6% Road 20.4% 9.1% -9.7% L14 Days 38.8% 6.7% 26.6%
Zach Eflin Phillies L2 Years 33.2% 13.5% 15.7% 2017 Road 38.0% 14.0% 21.8% L14 Days
Zack Wheeler Mets L2 Years 23.3% 12.5% -3.4% 2017 23.3% 12.5% -3.4% Home 28.6% 20.0% -7.1% L14 Days 23.3% 12.5% -3.4%

Batted Ball Charts – Opponent

Opponent Split Hard% HR/FB% Hd-St% Split Hard% HR/FB% Hd-St% Split Hard% HR/FB% Hd-St%
Rangers Road 25.1% 10.0% 4.2% RH 32.2% 14.4% 14.8% L7Days 25.1% 10.0% 4.2%
Brewers Road 30.3% 22.1% 12.7% LH 38.5% 20.8% 19.3% L7Days 30.3% 22.1% 12.7%
Blue Jays Home 30.0% 6.0% 11.4% LH 29.5% 15.0% 18.0% L7Days 30.0% 6.0% 11.4%
Orioles Road 35.4% 19.4% 18.3% RH 29.4% 16.7% 11.5% L7Days 35.4% 19.4% 18.3%
Cardinals Home 21.3% 7.5% 1.2% RH 23.0% 13.0% 3.7% L7Days 30.1% 15.7% 15.0%
Rockies Road 33.2% 8.7% 9.2% LH 38.4% 15.6% 18.8% L7Days 34.2% 9.0% 11.4%
Diamondbacks Road 33.1% 7.4% 17.1% RH 36.1% 12.5% 22.6% L7Days 31.4% 7.3% 15.3%
Giants Road 31.9% 14.5% 16.2% RH 25.8% 5.1% 7.1% L7Days 23.1% 4.7% 1.2%
Cubs Home 25.5% 7.4% 6.1% RH 26.6% 5.5% 8.7% L7Days 24.5% 8.9% 5.6%
Angels Road 29.5% 3.8% 12.9% RH 28.9% 13.4% 9.9% L7Days 30.8% 7.7% 11.9%
Twins Home 30.1% 4.5% 11.3% RH 34.3% 8.5% 18.3% L7Days 36.1% 7.5% 17.8%
Dodgers Home 37.5% 15.5% 23.0% RH 35.4% 14.3% 18.0% L7Days 29.7% 8.9% 11.8%
White Sox Road 22.0% 9.2% 8.3% RH 25.1% 10.8% 8.2% L7Days 22.0% 9.2% 8.3%
Red Sox Road 50.9% 2.3% 35.4% RH 42.9% 4.7% 26.0% L7Days 36.1% 4.2% 15.9%
Tigers Road 35.2% 17.0% 16.8% RH 45.6% 14.3% 29.9% L7Days 45.1% 15.1% 28.1%
Royals Home 26.8% 8.9% 2.9% RH 29.4% 15.1% 5.3% L7Days 26.5% 10.2% 2.5%
Braves Home 40.4% 23.1% 26.6% RH 34.0% 12.6% 19.2% L7Days 38.4% 23.8% 26.4%
Rays Home 30.2% 15.2% 7.5% RH 31.7% 17.1% 12.9% L7Days 38.4% 17.4% 18.1%
Yankees Home 33.9% 19.4% 14.6% RH 33.2% 14.9% 12.9% L7Days 31.0% 17.0% 9.9%
Nationals Road 30.4% 14.3% 15.9% RH 29.8% 12.7% 12.4% L7Days 27.3% 11.1% 7.7%
Pirates Road 31.9% 8.2% 12.7% RH 30.2% 7.9% 9.0% L7Days 29.4% 11.1% 8.8%
Indians Road 39.2% 10.1% 26.3% RH 37.4% 14.8% 23.3% L7Days 32.6% 14.3% 15.5%
Astros Home 25.9% 16.7% 4.5% RH 28.3% 13.3% 6.1% L7Days 28.0% 7.7% 9.3%
Padres Home 22.8% 12.1% -1.3% RH 28.1% 15.9% 6.4% L7Days 26.2% 15.6% -1.5%
Reds Home 27.7% 11.8% 7.6% RH 25.5% 9.3% 2.3% L7Days 25.7% 10.5% 0.0%
Mariners Home 31.0% 13.8% 9.6% LH 22.4% 12.5% -1.7% L7Days 31.3% 16.1% 10.7%
Marlins Road 31.2% 9.1% 11.3% RH 35.4% 14.5% 16.5% L7Days 33.2% 17.5% 11.1%
Athletics Home 25.9% 16.4% 3.1% RH 36.1% 14.0% 15.1% L7Days 30.1% 11.4% 4.9%
Mets Home 28.3% 9.7% 11.2% RH 29.7% 10.7% 13.1% L7Days 36.5% 16.9% 19.4%
Phillies Road 27.3% 15.2% 4.2% RH 25.2% 14.9% 2.6% L7Days 22.7% 14.3% -2.3%

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 8.5% 7.7% 1.10 8.5% 7.7% 1.10
Brett Anderson CHC 13.3% 9.4% 1.41 13.3% 9.4% 1.41
Brian Johnson BOS
Bronson Arroyo CIN 10.9% 5.8% 1.88 10.9% 5.8% 1.88
Chad Kuhl PIT 22.5% 11.9% 1.89 22.5% 11.9% 1.89
Hyun-Jin Ryu LOS 23.8% 10.4% 2.29 23.8% 10.4% 2.29
Jarred Cosart SDG 9.5% 7.3% 1.30 9.5% 7.3% 1.30
Jason Hammel KAN 12.8% 7.4% 1.73 12.8% 7.4% 1.73
Jimmy Nelson MIL 25.5% 8.8% 2.90 25.5% 8.8% 2.90
Joe Musgrove HOU 8.9% 8.0% 1.11 8.9% 8.0% 1.11
Josh Tomlin CLE 16.7% 4.9% 3.41 16.7% 4.9% 3.41
Kyle Freeland COL 17.0% 4.8% 3.54 17.0% 4.8% 3.54
Luis Severino NYY 35.4% 10.9% 3.25 35.4% 10.9% 3.25
Marcus Stroman TOR 15.5% 6.4% 2.42 15.5% 6.4% 2.42
Matt Andriese TAM 19.6% 9.8% 2.00 19.6% 9.8% 2.00
Matt Cain SFO 19.2% 6.2% 3.10 19.2% 6.2% 3.10
Max Scherzer WAS 33.3% 15.4% 2.16 33.3% 15.4% 2.16
Michael Fulmer DET 23.4% 7.8% 3.00 23.4% 7.8% 3.00
Miguel Gonzalez CHW 21.2% 8.4% 2.52 21.2% 8.4% 2.52
Mike Foltynewicz ATL 16.7% 8.0% 2.09 16.7% 8.0% 2.09
Mike Leake STL 24.5% 6.1% 4.02 24.5% 6.1% 4.02
Phil Hughes MIN 17.0% 7.4% 2.30 17.0% 7.4% 2.30
Ricky Nolasco ANA 20.0% 9.8% 2.04 20.0% 9.8% 2.04
Shelby Miller ARI 23.1% 9.7% 2.38 23.1% 9.7% 2.38
Ubaldo Jimenez BAL 14.0% 6.6% 2.12 14.0% 6.6% 2.12
Wei-Yin Chen FLA 19.5% 9.9% 1.97 19.5% 9.9% 1.97
Yovani Gallardo SEA 12.2% 6.7% 1.82 12.2% 6.7% 1.82
Yu Darvish TEX 24.4% 11.4% 2.14 24.4% 11.4% 2.14
Zach Eflin PHI
Zack Wheeler NYM 20.0% 9.7% 2.06 20.0% 9.7% 2.06


There are a lot of unimpressive swinging strike rates on this board, aside from Scherzer. That’s what you generally see at the back of rotations. Hopefully, we’ll be mixing in some more top end arms with these back end ones to avoid this type of look.

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 0 5.41 5.41 5.19 5.19 3.27 3.27 2.46 2.46 0 5.43 5.43 5.19 5.19 3.27 3.27
Brett Anderson CHC 0.84 5.06 4.22 4.56 3.72 3.21 2.37 5.95 5.11 0.84 5.08 4.24 4.56 3.72 3.21 2.37
Brian Johnson BOS
Bronson Arroyo CIN 9.9 5.46 -4.44 6.02 -3.88 8.03 -1.87 16.62 6.72 9.9 5.46 -4.44 6.02 -3.88 8.03 -1.87
Chad Kuhl PIT 2.38 4.47 2.09 4.96 2.58 2.84 0.46 2.77 0.39 2.38 4.48 2.1 4.96 2.58 2.84 0.46
Hyun-Jin Ryu LOS 5.79 3.35 -2.44 3.27 -2.52 6.25 0.46 8.07 2.28 5.79 3.36 -2.43 3.27 -2.52 6.25 0.46
Jarred Cosart SDG 3.86 6.6 2.74 5.67 1.81 4.64 0.78 3.92 0.06 3.86 6.6 2.74 5.67 1.81 4.64 0.78
Jason Hammel KAN 6.52 5.93 -0.59 6.36 -0.16 3.55 -2.97 9.51 2.99 6.52 5.95 -0.57 6.36 -0.16 3.55 -2.97
Jimmy Nelson MIL 1.38 3.02 1.64 3.47 2.09 2.62 1.24 3.52 2.14 1.38 3.02 1.64 3.47 2.09 2.62 1.24
Joe Musgrove HOU 4.35 5.34 0.99 5.46 1.11 4.87 0.52 9.77 5.42 4.35 5.35 1 5.46 1.11 4.87 0.52
Josh Tomlin CLE 18.47 3.63 -14.84 3.97 -14.5 6.56 -11.91 15.42 -3.05 18.47 3.65 -14.82 3.97 -14.5 6.56 -11.91
Kyle Freeland COL 5.91 4.24 -1.67 3.88 -2.03 4.05 -1.86 6.06 0.15 5.91 4.26 -1.65 3.88 -2.03 4.05 -1.86
Luis Severino NYY 4.5 2.04 -2.46 1.93 -2.57 2.76 -1.74 0.75 -3.75 4.5 2.04 -2.46 1.93 -2.57 2.76 -1.74
Marcus Stroman TOR 1.76 3.33 1.57 2.97 1.21 3.19 1.43 4.59 2.83 1.76 3.34 1.58 2.97 1.21 3.19 1.43
Matt Andriese TAM 4.5 4.23 -0.27 4.09 -0.41 4.93 0.43 4.11 -0.39 4.5 4.23 -0.27 4.09 -0.41 4.93 0.43
Matt Cain SFO 4.82 4.79 -0.03 4.98 0.16 5.72 0.9 11.86 7.04 4.82 4.8 -0.02 4.98 0.16 5.72 0.9
Max Scherzer WAS 2.13 2.78 0.65 3.45 1.32 1.43 -0.7 1.55 -0.58 2.13 2.79 0.66 3.45 1.32 1.43 -0.7
Michael Fulmer DET 2.25 3.48 1.23 3.81 1.56 3.43 1.18 0.71 -1.54 2.25 3.48 1.23 3.81 1.56 3.43 1.18
Miguel Gonzalez CHW 4.22 4.37 0.15 4.5 0.28 4.99 0.77 7.55 3.33 4.22 4.39 0.17 4.5 0.28 4.99 0.77
Mike Foltynewicz ATL 6.35 4.77 -1.58 5.54 -0.81 5.58 -0.77 5.91 -0.44 6.35 4.8 -1.55 5.54 -0.81 5.58 -0.77
Mike Leake STL 0.6 2.75 2.15 2.67 2.07 1.4 0.8 1.77 1.17 0.6 2.75 2.15 2.67 2.07 1.4 0.8
Phil Hughes MIN 3.86 4.74 0.88 4.93 1.07 4.56 0.7 2.51 -1.35 3.86 4.76 0.9 4.93 1.07 4.56 0.7
Ricky Nolasco ANA 5.4 4.11 -1.29 4.47 -0.93 5.69 0.29 4.84 -0.56 5.4 4.12 -1.28 4.47 -0.93 5.69 0.29
Shelby Miller ARI 5.06 3.87 -1.19 3.88 -1.18 3.3 -1.76 8.26 3.20 5.06 3.89 -1.17 3.88 -1.18 3.3 -1.76
Ubaldo Jimenez BAL 10.38 4.81 -5.57 4.98 -5.4 7.08 -3.3 2.84 -7.54 10.38 4.83 -5.55 4.98 -5.4 7.08 -3.3
Wei-Yin Chen FLA 7 3.66 -3.34 3.62 -3.38 4.37 -2.63 7.19 0.19 7 3.66 -3.34 3.62 -3.38 4.37 -2.63
Yovani Gallardo SEA 6.3 5.18 -1.12 4.97 -1.33 4.83 -1.47 5.39 -0.91 6.3 5.18 -1.12 4.97 -1.33 4.83 -1.47
Yu Darvish TEX 2.33 4.18 1.85 3.76 1.43 3.19 0.86 2.16 -0.17 2.33 4.19 1.86 3.76 1.43 3.19 0.86
Zach Eflin PHI 6.77
Zack Wheeler NYM 7.45 3.28 -4.17 3.22 -4.23 3.24 -4.21 5.20 -2.25 7.45 3.3 -4.15 3.22 -4.23 3.24 -4.21


Wow, three guys with a double digit DRA. And I thought FIP was mean.

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 0.267 0.205 -0.062 51.3% 0.128 0.0% 88.9% 88.1 2.60% 2.10% 39
Brett Anderson CHC 0.254 0.235 -0.019 47.1% 0.265 11.1% 84.6% 87.6 8.80% 6.70% 34
Brian Johnson BOS 0.302
Bronson Arroyo CIN 0.254 0.265 0.011 36.1% 0.083 0.0% 90.7% 90.5 8.30% 6.50% 36
Chad Kuhl PIT 0.297 0.323 0.026 32.3% 0.194 0.0% 87.3% 89 3.40% 2.00% 29
Hyun-Jin Ryu LOS 0.269 0.360 0.091 48.1% 0.259 14.3% 87.2% 84.6 12.00% 7.10% 25
Jarred Cosart SDG 0.260 0.400 0.14 53.3% 0.267 33.3% 90.5% 89.6 6.70% 4.80% 15
Jason Hammel KAN 0.270 0.371 0.101 28.6% 0.229 11.8% 89.6% 88.2 0.00% 0.00% 35
Jimmy Nelson MIL 0.293 0.235 -0.058 47.1% 0.088 0.0% 81.9% 88.6 3.00% 2.00% 33
Joe Musgrove HOU 0.258 0.314 0.056 52.8% 0.139 16.7% 90.0% 84.6 6.10% 4.40% 33
Josh Tomlin CLE 0.339 0.520 0.181 55.6% 0.222 0.0% 97.6% 92.4 16.00% 11.10% 25
Kyle Freeland COL 0.283 0.333 0.05 57.6% 0.212 14.3% 95.2% 85 6.50% 4.30% 31
Luis Severino NYY 0.288 0.333 0.045 41.4% 0.241 20.0% 84.0% 91.5 14.30% 8.30% 28
Marcus Stroman TOR 0.292 0.267 -0.025 57.8% 0.289 0.0% 90.4% 89.1 4.70% 3.40% 43
Matt Andriese TAM 0.279 0.323 0.044 36.4% 0.303 9.1% 84.2% 88.5 6.30% 4.30% 32
Matt Cain SFO 0.299 0.300 0.001 45.2% 0.161 8.3% 91.7% 92.3 3.20% 2.10% 31
Max Scherzer WAS 0.296 0.276 -0.02 27.6% 0.172 12.5% 80.9% 89 6.90% 3.90% 29
Michael Fulmer DET 0.295 0.233 -0.062 41.9% 0.226 0.0% 87.9% 89.4 12.90% 8.50% 31
Miguel Gonzalez CHW 0.261 0.394 0.133 42.9% 0.2 7.7% 94.7% 89.9 11.80% 7.70% 34
Mike Foltynewicz ATL 0.263 0.400 0.137 25.0% 0.35 25.0% 89.2% 92.1 5.30% 3.30% 19
Mike Leake STL 0.318 0.256 -0.062 48.7% 0.205 0.0% 92.4% 87.2 2.60% 1.90% 39
Phil Hughes MIN 0.221 0.235 0.014 25.0% 0.222 10.5% 91.4% 91 13.90% 10.60% 36
Ricky Nolasco ANA 0.269 0.292 0.023 26.9% 0.192 14.3% 87.8% 90.7 11.80% 8.60% 51
Shelby Miller ARI 0.301 0.324 0.023 42.9% 0.229 8.3% 85.0% 91.1 6.30% 3.80% 32
Ubaldo Jimenez BAL 0.341 0.387 0.046 32.4% 0.294 15.4% 85.3% 88.1 5.90% 4.70% 34
Wei-Yin Chen FLA 0.249 0.400 0.151 34.5% 0.241 8.3% 83.9% 86.8 3.60% 2.40% 28
Yovani Gallardo SEA 0.296 0.389 0.093 54.1% 0.216 11.1% 88.2% 85.2 2.70% 2.00% 37
Yu Darvish TEX 0.283 0.250 -0.033 38.8% 0.306 0.0% 84.5% 87.8 4.10% 2.60% 49
Zach Eflin PHI 0.300 89.5 0.00% 0.00% 199
Zack Wheeler NYM 0.299 0.310 0.011 56.7% 0.167 0.0% 86.4% 86.8 3.40% 2.50% 29


Hopefully, we’re coming to the point next time around for these guys, where these numbers will start to mean at least something.

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

Max Scherzer (1) is your most expensive pitcher today and also your best. He’s showing no ill effects from a spring hand injury that limited his fastball. Only one other pitcher on the board comes close to his talent level.

Value Tier Two

Yu Darvish (2) is the only pitcher tonight who can come close to Scherzer on a talent level, though he’ll occasionally walk the park and get himself in trouble. Assuming we’re going to see more of the guy we saw last time out, he could challenge for tonight’s top score. Only he and Scherzer are priced above $10K tonight.

Luis Severino (3) is still strangely struggling with RHBs, but does seem intent on developing a sorely needed third pitch. He is off to a nice start though and does have some bat missing talent, which should be more than enough to get him through the White Sox with some a significant amount of upside at a low price, especially on DraftKings, where he might even be a top tier value.

Value Tier Three

Shelby Miller (4t) would be hard pressed not to improve on last season. While it hasn’t been all sweet goodness so far, he’s at least missing bats at an average rate this season. Maybe he can be a league average pitcher. He costs an average amount in one of the top spots on the board in San Diego tonight.

Michael Fulmer (4t) is up to his old tricks again. You could say the underlying performance has been even worse than last year as estimators don’t take into account SwStr% or hard contact, but he’s facing the Rays, which gives him a good amount of upside. As was said above, strikeout potential can make DFS players look past a lot of things.

Zack Wheeler may have looked better than he ever has in a major league outing in his last start before leaving with the bases loaded and seeing all his runners score. If the same guy shows up tonight, there’s a good chance he’s worth more than $7.5-8K at home against the Phillies. The biggest drawback is that he’s thrown just 80 and 85 pitches in his first two starts, but could get through six innings and potentially 90 tonight.

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.

Chad Kuhl is probably not in play on FanDuel ($7.2K), but should play as an SP2 on DraftKings against a banged up and struggling Cardinals offense if necessary.

Andrew Triggs is getting some respect on FanDuel ($7.4K), but still isn’t much above the minimum on DraftKings ($5K). While his underlying numbers don’t nearly support his ERA at this point, he’s generated weak contact and in his second start, missed bats at an elite rate. A neutral opponent in a pitcher’s park makes this a favorable matchup.

Marcus Stroman is in a tough spot tonight and, to be honest, one I really don’t like. It lacks the potential for much upside with a pitcher who is erratic with his strikeouts, missing bats at a league average rate at his best, against a good offense that doesn’t strike out. He should keep the ball on the ground though.

Wei-Yin Chen might be an average pitcher at an average cost, facing a decent offense in a great park. There’s no particular reason you should covet his presence in your lineup tonight, but he’s probably not the worst arm you could land on tonight.

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

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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.