Advanced Stats - Pitching: Monday, May 30th

Happy Memorial Day to all of you crazy enough to be reading about daily fantasy baseball pitching options on BBQ day. I’m throwing readers a changeup today. More a hanging changeup than one of those nasty vintage Pedro Martinez ones, but something different than normal because of the heavy day schedule. We’ll still only be covering the night games (5 games, 10 pitchers) in write-ups, but all the day’s pitchers are going to be listed. This also means we might have to be a little quicker than normal to get this information out while all of it’s still relevant.

Don’t forget to check lineups, umpire assignments, line movement, 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.

Most stats are pulled directly from the Fangraphs.com database. If a stat is used that you are not familiar with and want to learn more about, their glossary does a terrific job of explaining all of the advanced stats used here.

Starting Pitching Main Chart

We’re using Seamheads.com three-year park factors. Home team is in bold. Team Def = UZR/150. L2Yrs is a rolling calendar. Hm/Rd xFIP is since the start of the 2015 season. Opp team offensive stats are wRC+.

Pitcher Team Team
Def
SIERA
L2Yrs
IP/GS
L2Yrs
GB/FB
L2Yrs
Park
Run
Hm/Rd
xFIP
SIERA
L14
Opp Opp
Hm/Rd
Opp L/R
wRC+
Opp L7
wRC+
Alex Wood LOS 2.9 3.76 6.07 1.65 1.03 4.03 1.91 CHC 109 115 136
Andrew Cashner SDG 0.3 4.09 5.94 1.44 0.9 4.68 7.19 SEA 107 117 140
Carlos Martinez STL -9.5 3.57 5.78 2.02 1.05 3.44 4.25 MIL 105 92 110
Chad Bettis COL 1.9 4.15 5.84 1.79 1.37 3.39 5.46 CIN 64 70 46
Collin McHugh HOU 4.8 3.72 6.1 1.27 1.07 4.17 2.3 ARI 98 99 105
Dan Straily CIN -6.2 4.38 5.52 1.02 1.37 3.95 3.28 COL 92 86 77
Derek Holland TEX 13.3 4.54 5.8 1 1.03 5.48 5.18 CLE 119 90 123
Edwin Escobar ARI -7.1 3.32 0.25 1.07 HOU 96 83 89
Ervin Santana MIN -3.4 4.07 6.11 1.21 0.95 4.27 4.32 OAK 78 90 103
Ian Kennedy KAN 5.7 3.69 5.82 0.95 1.04 3.2 2.68 TAM 122 97 105
Ivan Nova NYY -1.5 4.26 5.57 1.86 1.02 3.96 3.3 TOR 103 99 109
Jason Hammel CHC 11.8 3.58 5.65 1.06 1.03 3.88 4.45 LOS 97 92 102
Jeff Locke PIT 3.2 4.31 5.85 1.83 1 4.37 4.96 FLA 93 111 105
Jeff Samardzija SFO 0.9 3.67 6.71 1.21 0.96 4.24 3.28 ATL 66 72 76
Jeremy Hellickson PHI -0.3 3.99 5.32 1.1 1.02 3.81 3.19 WAS 96 87 94
Jhoulys Chacin ANA 4.7 4.24 5.73 1.61 0.92 4.25 4.71 DET 102 112 100
Jose Quintana CHW 3.2 3.54 6.41 1.39 0.87 3.4 2.89 NYM 91 90 78
Josh Tomlin CLE 9.4 3.49 6.2 1.02 1.03 3.59 3.34 TEX 83 89 110
Junior Guerra MIL -8.4 3.95 6. 1 1.05 3.68 3.55 STL 116 119 89
Justin Nicolino FLA 2.1 5.64 6.06 1.21 1 5.79 4.09 PIT 110 125 125
Justin Verlander DET -7.8 3.86 6.53 0.85 0.92 4.06 2.93 ANA 99 103 97
Kendall Graveman OAK -14.2 4.36 5.41 1.83 0.95 4.38 4.3 MIN 88 91 136
Marco Estrada TOR 3.7 4.45 6.11 0.63 1.02 4.83 5.01 NYY 72 88 62
Matt Andriese TAM 0.1 4.12 5.18 1.37 1.04 4.87 4.06 KAN 95 101 144
Matt Harvey NYM -4.8 3.5 6.21 1.24 0.87 3.2 6.3 CHW 98 90 80
Mike Foltynewicz ATL -4.8 4.21 5.56 0.78 0.96 4.75 4.43 SFO 99 101 129
Nate Karns SEA -6.5 3.88 5.59 1.14 0.9 4.11 3.97 SDG 85 69 103
Steven Wright BOS 3.9 4.09 6.21 1.19 1.04 4.47 3.66 BAL 106 112 96
Tanner Roark WAS 6.3 4 6.14 1.41 1.02 4.04 3.08 PHI 68 75 75
Tyler Wilson BAL -2.8 4.89 5.38 1.56 1.04 5.08 4.75 BOS 116 125 123


Ian Kennedy has only had the fortune of pitching three games in Kansas City this season, but has done very well in those three starts (18.2 IP – 17 H – 4 ER – 1 HR – 4 BB – 23 K – 76 BF) and that includes matchups against Boston and Detroit. The park and defense perfectly suit his skillset. He’s struck out at least six in seven of nine starts and though Tampa Bay has punished opposing pitchers on the road (17.3 HR/FB), you have to consider that every road game they play against an AL East opponent is in a hitter’s park. They have a 26.1 K% vs RHP.

Jeremy Hellickson has the 2nd highest SwStr% on the board (all day) and first if we count only qualified pitchers. He’s gone seven innings with seven or more strikeouts in three of his last six starts, allowing three or fewer runs five times. He’s allowed nine HRs, but none in his last three starts with a 51.4 GB% and -2.8 Hard-Soft% over his last two starts. As we know by now, Washington has just a couple of potent bats against RHP, with the RH portion of their lineup struggling mightily to hit same handed pitching.

Justin Verlander has turned back the clock over his last four starts (30.1 IP – 16 H – 4 ER – 1 HR – 9 BB – 37 K – 115 BF). This would be a truly amazing transformation if, as he claims, he just hasn’t been fully healthy in four years. He hasn’t gained back any velocity and is in fact down another half mile this season without a significant change in his pitch mix. He’s had a SwStr above 12% in each of his last four starts, four of his five highest marks of the season. His 11.9 SwStr% for the season ties his career high from 2012, his last dominant season (yes, it’s been that long). The Angels are not an unfavorable offense or park, but they have just a 15.6 K% vs RHP, lowest in the league.

Tanner Roark has been either really good or not even useful over his 10 starts, allowing four runs or more four times with a total of 14 strikeouts in those starts, but has not allowed more than an ER in his other six starts with at least five strikeouts in the last five of those. He doesn’t throw exceptionally hard (92 mph) and has only even generated better than a league average SwStr% three times, but his contact profile is simply mind blowing as he’s combined a 54.4 GB% into a -10.2 Hard-Soft%. Weak ground balls don’t count more than other outs, but they’re our favorite thing besides strikeouts and popups, as the most likely candidates to turn into outs. The Phillies are tonight’s top matchup. They are the 3rd worst home offense in baseball (6.8 HR/FB, -0.2 Hard-Soft%), while not hitting the ball much harder vs RHP (9.2 HR/FB, 5.2 Hard-Soft%) with a slightly higher than average K% in both situations.

NOT AS GOOD AS THEY LOOK

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

League AVG (.297 BABIP – 72.5 LOB% – 11.8 HR/FB)

Marco Estrada (.213 BABIP – 78.4 LOB% – 8.0 HR/FB) was popped for two long balls in Yankee Stadium last night, but only allowed three runs through seven innings despite adding four walks with just two strikeouts. He has walked four in four of his last seven, striking out more than five just twice. Same opponent, different park, same high risk cost with moderate reward ceiling.

Matt Andriese (.225 BABIP – 73.2 LOB% – 3.4 HR/FB) had a season high six strikeouts in his last start. The Kansas City offense is wounded, but he costs $10.2K on DraftKings.

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

Ivan Nova has been an extreme ground ball generator (63.6%) with a rising strikeout rate (nearly league average SwStr%), who has walked just four of 102 batters in four starts. They Blue Jays haven’t been as potent as expected, but we’re still not calling them a favorable matchup at home. If the cost were a bit less than average, we might have a tougher choice on our hands. Ground balls don’t leave the park.

Jhoulys Chacin has not struck out more than four in any of his last five starts.

Jeff Locke

Justin Nicolino doubled his strikeout total for the season in his last start. He now has 12 in six starts and 35 in 18 career starts.

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%
Alex Wood Dodgers L2 Years 20.7% 7.2% Road 17.1% 7.8% L14 Days 39.1% 4.4%
Andrew Cashner Padres L2 Years 19.2% 7.7% Road 16.1% 10.4% L14 Days 4.0% 16.0%
Carlos Martinez Cardinals L2 Years 23.2% 8.7% Road 24.2% 8.9% L14 Days 20.8% 12.5%
Chad Bettis Rockies L2 Years 17.9% 7.8% Home 20.3% 5.9% L14 Days 11.5% 11.5%
Collin McHugh Astros L2 Years 21.2% 6.2% Road 18.4% 6.9% L14 Days 34.6% 3.9%
Dan Straily Reds L2 Years 21.2% 11.0% Road 24.6% 10.8% L14 Days 29.0% 9.2%
Derek Holland Rangers L2 Years 15.4% 6.1% Road 12.0% 8.5% L14 Days 10.2% 4.1%
Edwin Escobar Diamondbacks L2 Years 25.0% 0.0% Home L14 Days
Ervin Santana Twins L2 Years 20.0% 8.1% Road 19.3% 7.8% L14 Days 18.0% 8.0%
Ian Kennedy Royals L2 Years 24.1% 8.3% Home 28.3% 7.5% L14 Days 29.3% 4.9%
Ivan Nova Yankees L2 Years 15.2% 6.7% Road 15.2% 5.1% L14 Days 22.0% 4.0%
Jason Hammel Cubs L2 Years 23.2% 6.5% Home 20.8% 6.0% L14 Days 21.2% 9.6%
Jeff Locke Pirates L2 Years 16.5% 8.3% Road 15.8% 8.8% L14 Days 13.0% 5.6%
Jeff Samardzija Giants L2 Years 20.5% 4.9% Road 17.3% 5.4% L14 Days 27.8% 5.6%
Jeremy Hellickson Phillies L2 Years 20.2% 6.8% Home 20.4% 5.8% L14 Days 22.5% 4.1%
Jhoulys Chacin Angels L2 Years 18.5% 8.8% Home 17.2% 8.2% L14 Days 12.8% 10.6%
Jose Quintana White Sox L2 Years 21.7% 5.4% Road 21.9% 4.8% L14 Days 25.0% 1.9%
Josh Tomlin Indians L2 Years 20.9% 3.0% Home 23.2% 3.1% L14 Days 22.4% 3.5%
Junior Guerra Brewers L2 Years 24.1% 9.5% Home 24.7% 8.2% L14 Days 34.0% 14.0%
Justin Nicolino Marlins L2 Years 7.8% 7.1% Home 5.0% 6.8% L14 Days 17.4% 2.2%
Justin Verlander Tigers L2 Years 21.2% 6.5% Road 21.4% 5.5% L14 Days 33.9% 8.5%
Kendall Graveman Athletics L2 Years 16.0% 7.8% Home 14.6% 6.7% L14 Days 17.0% 10.6%
Marco Estrada Blue Jays L2 Years 18.9% 7.9% Home 18.2% 7.7% L14 Days 19.3% 8.8%
Matt Andriese Rays L2 Years 17.1% 6.2% Road 14.0% 10.0% L14 Days 17.7% 5.9%
Matt Harvey Mets L2 Years 23.2% 5.4% Home 24.5% 4.3% L14 Days 7.0% 9.3%
Mike Foltynewicz Braves L2 Years 19.2% 7.0% Home 18.2% 7.1% L14 Days 20.0% 10.0%
Nate Karns Mariners L2 Years 23.7% 9.1% Home 21.5% 9.4% L14 Days 20.0% 5.0%
Steven Wright Red Sox L2 Years 19.9% 8.1% Road 18.7% 10.4% L14 Days 22.0% 5.1%
Tanner Roark Nationals L2 Years 17.3% 5.7% Road 15.9% 6.1% L14 Days 22.2% 7.4%
Tyler Wilson Orioles L2 Years 10.7% 6.4% Home 10.9% 8.7% L14 Days 13.5% 5.8%

K/BB Chart – Opponent

Opponent Split K% BB% Split K% BB% Split K% BB%
Cubs Home 20.8% 12.6% LH 19.1% 13.2% L7Days 23.7% 10.6%
Mariners Home 20.7% 8.7% RH 19.4% 9.2% L7Days 19.5% 4.1%
Brewers Home 24.6% 11.3% RH 27.0% 10.1% L7Days 25.0% 12.9%
Reds Road 23.2% 6.0% RH 23.1% 5.8% L7Days 25.6% 3.4%
Diamondbacks Home 22.6% 7.8% RH 20.6% 7.0% L7Days 18.5% 10.8%
Rockies Home 18.8% 8.8% RH 18.3% 6.7% L7Days 20.8% 5.4%
Indians Home 20.1% 10.6% LH 22.4% 7.4% L7Days 19.0% 9.9%
Astros Road 25.3% 8.8% LH 27.7% 10.0% L7Days 25.3% 7.5%
Athletics Home 17.5% 6.1% RH 17.9% 6.7% L7Days 17.9% 4.9%
Rays Road 24.6% 8.7% RH 25.8% 8.3% L7Days 27.8% 8.4%
Blue Jays Home 23.3% 9.6% RH 23.2% 9.3% L7Days 22.5% 7.8%
Dodgers Road 20.6% 9.3% RH 20.3% 8.6% L7Days 21.6% 9.9%
Marlins Home 19.2% 7.4% LH 23.1% 7.0% L7Days 18.2% 6.8%
Braves Home 21.5% 8.3% RH 19.6% 8.8% L7Days 20.2% 10.5%
Nationals Road 21.6% 9.5% RH 20.5% 9.3% L7Days 18.3% 4.1%
Tigers Road 23.4% 7.0% RH 22.9% 6.8% L7Days 21.6% 7.0%
Mets Home 25.0% 9.7% LH 27.8% 8.1% L7Days 31.7% 6.3%
Rangers Road 20.8% 5.6% RH 18.8% 7.3% L7Days 16.6% 7.2%
Cardinals Road 19.8% 9.5% RH 19.7% 8.5% L7Days 20.9% 7.2%
Pirates Road 20.9% 8.6% LH 23.5% 9.4% L7Days 19.9% 6.5%
Angels Home 16.2% 8.9% RH 15.6% 8.3% L7Days 16.5% 7.6%
Twins Road 27.0% 8.2% RH 23.1% 7.6% L7Days 22.7% 8.6%
Yankees Road 19.8% 7.4% RH 18.9% 8.3% L7Days 21.4% 9.0%
Royals Home 18.3% 7.0% RH 19.4% 6.2% L7Days 19.8% 7.4%
White Sox Road 20.5% 6.8% RH 20.3% 8.3% L7Days 23.6% 5.0%
Giants Road 15.9% 8.3% RH 15.7% 10.5% L7Days 13.1% 7.2%
Padres Road 25.4% 6.6% RH 24.2% 6.4% L7Days 21.1% 5.8%
Orioles Home 19.8% 9.1% RH 23.5% 8.1% L7Days 31.7% 9.5%
Phillies Home 22.7% 8.0% RH 21.5% 6.7% L7Days 24.9% 5.1%
Red Sox Road 20.8% 7.4% RH 18.6% 8.4% L7Days 15.1% 9.8%

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%
Alex Wood Dodgers L2 Years 28.7% 9.8% 11.6% 2016 31.5% 13.5% 11.2% Road 28.1% 8.4% 12.7% L14 Days 37.5% 12.5% 16.7%
Andrew Cashner Padres L2 Years 29.2% 9.9% 12.9% 2016 24.4% 9.8% 12.2% Road 26.5% 11.2% 8.7% L14 Days 15.0% 0.0% 5.0%
Carlos Martinez Cardinals L2 Years 28.0% 9.3% 7.3% 2016 30.3% 11.1% 14.2% Road 30.0% 9.7% 8.8% L14 Days 20.0% 0.0% 0.0%
Chad Bettis Rockies L2 Years 31.6% 11.6% 15.9% 2016 31.5% 13.0% 14.2% Home 33.7% 11.7% 17.0% L14 Days 27.5% 8.3% 15.0%
Collin McHugh Astros L2 Years 25.2% 9.4% 3.3% 2016 25.1% 9.1% 2.8% Road 27.7% 10.2% 6.9% L14 Days 25.0% 0.0% -12.5%
Dan Straily Reds L2 Years 28.9% 9.7% 9.8% 2016 30.6% 11.5% 13.2% Road 30.5% 15.2% 14.3% L14 Days 33.3% 8.3% 20.0%
Derek Holland Rangers L2 Years 31.8% 8.4% 16.1% 2016 30.9% 5.7% 13.0% Road 35.0% 10.8% 16.5% L14 Days 19.5% 5.3% -2.5%
Edwin Escobar Diamondbacks L2 Years 40.0% 0.0% 0.0% 2016 Home L14 Days
Ervin Santana Twins L2 Years 28.8% 9.2% 10.6% 2016 27.3% 10.3% 4.6% Road 25.2% 7.6% 5.2% L14 Days 35.1% 20.0% 24.3%
Ian Kennedy Royals L2 Years 33.1% 12.7% 17.0% 2016 34.3% 12.5% 14.0% Home 36.9% 20.8% 23.6% L14 Days 46.2% 33.3% 38.5%
Ivan Nova Yankees L2 Years 31.3% 14.8% 12.3% 2016 28.9% 20.0% 9.1% Road 33.7% 17.0% 15.1% L14 Days 27.8% 20.0% 5.6%
Jason Hammel Cubs L2 Years 31.1% 12.5% 13.4% 2016 29.1% 5.8% 7.5% Home 33.2% 13.4% 12.4% L14 Days 44.4% 11.8% 30.5%
Jeff Locke Pirates L2 Years 27.5% 13.1% 7.3% 2016 25.6% 15.1% 10.7% Road 27.6% 13.8% 10.2% L14 Days 25.0% 16.7% 2.3%
Jeff Samardzija Giants L2 Years 27.1% 11.1% 8.2% 2016 28.5% 7.9% 10.0% Road 27.0% 8.5% 6.8% L14 Days 44.4% 6.3% 27.7%
Jeremy Hellickson Phillies L2 Years 33.5% 12.8% 16.5% 2016 31.5% 16.4% 10.5% Home 32.8% 13.5% 15.2% L14 Days 19.4% 0.0% -2.8%
Jhoulys Chacin Angels L2 Years 35.5% 14.4% 18.4% 2016 35.5% 18.2% 15.2% Home 35.2% 10.3% 18.7% L14 Days 31.4% 16.7% 8.5%
Jose Quintana White Sox L2 Years 28.9% 5.9% 12.0% 2016 32.8% 1.6% 15.0% Road 29.2% 6.5% 12.8% L14 Days 36.1% 0.0% 19.4%
Josh Tomlin Indians L2 Years 33.1% 15.6% 17.4% 2016 39.2% 15.5% 24.6% Home 35.2% 18.2% 24.7% L14 Days 44.2% 16.7% 25.6%
Junior Guerra Brewers L2 Years 30.8% 8.6% 11.0% 2016 32.5% 6.3% 13.0% Home 38.8% 5.6% 24.5% L14 Days 30.8% 9.1% 11.6%
Justin Nicolino Marlins L2 Years 33.2% 9.0% 12.2% 2016 39.3% 9.8% 22.1% Home 37.8% 9.5% 17.1% L14 Days 61.1% 23.1% 52.8%
Justin Verlander Tigers L2 Years 25.9% 8.6% 6.7% 2016 30.0% 10.3% 10.0% Road 20.7% 10.0% -0.8% L14 Days 29.4% 0.0% 8.8%
Kendall Graveman Athletics L2 Years 28.9% 16.4% 13.3% 2016 31.2% 23.3% 16.3% Home 31.6% 12.3% 15.4% L14 Days 21.2% 0.0% 18.2%
Marco Estrada Blue Jays L2 Years 29.4% 8.8% 7.9% 2016 31.1% 8.0% 12.5% Home 26.6% 7.5% 7.1% L14 Days 24.4% 9.1% 7.3%
Matt Andriese Rays L2 Years 34.0% 8.8% 15.6% 2016 37.0% 3.4% 23.4% Road 35.4% 5.7% 15.9% L14 Days 46.2% 8.3% 33.4%
Matt Harvey Mets L2 Years 27.8% 10.7% 8.7% 2016 30.8% 13.6% 6.6% Home 28.6% 11.7% 8.5% L14 Days 38.9% 28.6% 13.9%
Mike Foltynewicz Braves L2 Years 30.9% 13.4% 10.8% 2016 31.8% 16.7% 10.6% Home 31.1% 10.2% 13.1% L14 Days 29.6% 14.3% 11.1%
Nate Karns Mariners L2 Years 33.2% 13.3% 13.1% 2016 31.0% 12.2% 11.3% Home 32.9% 12.4% 14.0% L14 Days 26.7% 8.3% -3.3%
Steven Wright Red Sox L2 Years 29.5% 10.1% 8.5% 2016 26.8% 5.1% 4.8% Road 30.9% 12.2% 8.7% L14 Days 23.3% 6.7% -4.6%
Tanner Roark Nationals L2 Years 23.2% 10.2% 0.6% 2016 21.4% 10.5% -10.1% Road 26.4% 14.3% 0.6% L14 Days 18.9% 50.0% -8.1%
Tyler Wilson Orioles L2 Years 30.2% 8.3% 13.8% 2016 29.2% 12.8% 9.8% Home 25.7% 5.9% 8.3% L14 Days 33.3% 20.0% 23.8%

Batted Ball Charts – Opponent

Opponent Split Hard% HR/FB% Hd-St% Split Hard% HR/FB% Hd-St% Split Hard% HR/FB% Hd-St%
Cubs Home 30.8% 11.4% 11.9% LH 31.5% 13.1% 15.7% L7Days 30.5% 22.2% 9.3%
Mariners Home 28.6% 15.2% 8.6% RH 30.4% 15.1% 12.4% L7Days 33.3% 20.0% 15.1%
Brewers Home 35.7% 15.7% 18.4% RH 31.9% 15.6% 12.3% L7Days 38.8% 15.2% 20.4%
Reds Road 29.4% 7.1% 10.1% RH 31.4% 12.0% 13.6% L7Days 27.5% 10.9% 4.3%
Diamondbacks Home 35.8% 16.7% 18.1% RH 32.3% 12.7% 13.5% L7Days 31.7% 14.0% 12.4%
Rockies Home 32.9% 12.3% 15.6% RH 30.7% 11.0% 12.7% L7Days 29.3% 12.1% 8.4%
Indians Home 31.3% 10.9% 15.2% LH 30.7% 6.3% 11.5% L7Days 35.9% 20.7% 17.7%
Astros Road 31.7% 16.4% 13.7% LH 29.7% 14.0% 13.0% L7Days 36.7% 19.6% 23.0%
Athletics Home 28.0% 9.6% 10.2% RH 29.6% 10.0% 10.5% L7Days 28.7% 10.3% 5.9%
Rays Road 34.3% 17.3% 16.6% RH 34.5% 15.1% 13.9% L7Days 39.4% 10.9% 20.0%
Blue Jays Home 36.1% 13.2% 19.8% RH 33.7% 13.9% 16.4% L7Days 33.7% 15.0% 13.4%
Dodgers Road 33.8% 10.4% 18.7% RH 33.3% 11.3% 16.4% L7Days 38.3% 12.5% 20.2%
Marlins Home 29.0% 11.9% 6.0% LH 33.9% 15.7% 9.7% L7Days 33.5% 10.3% 14.8%
Braves Home 28.0% 4.7% 9.3% RH 24.2% 4.7% 3.6% L7Days 25.0% 5.8% 4.4%
Nationals Road 34.5% 13.0% 17.8% RH 32.4% 12.5% 14.8% L7Days 33.3% 20.9% 11.3%
Tigers Road 31.8% 12.3% 12.4% RH 33.5% 13.9% 16.4% L7Days 28.3% 10.7% 7.2%
Mets Home 31.9% 13.6% 8.4% LH 33.0% 14.4% 12.9% L7Days 35.2% 25.0% 18.8%
Rangers Road 30.1% 10.9% 12.1% RH 28.1% 11.1% 7.9% L7Days 28.0% 13.5% 6.0%
Cardinals Road 30.2% 14.3% 11.6% RH 32.1% 14.9% 13.9% L7Days 28.1% 13.5% 8.6%
Pirates Road 30.6% 13.1% 10.7% LH 34.3% 17.6% 16.0% L7Days 35.7% 18.0% 17.1%
Angels Home 27.5% 11.8% 7.6% RH 29.1% 9.6% 8.0% L7Days 28.5% 8.7% 5.0%
Twins Road 28.8% 13.7% 9.4% RH 31.3% 12.0% 12.7% L7Days 26.5% 22.2% 4.6%
Yankees Road 26.8% 10.1% 8.3% RH 24.0% 14.3% 6.2% L7Days 26.0% 16.4% 6.1%
Royals Home 29.0% 9.2% 7.1% RH 28.9% 9.2% 9.1% L7Days 31.8% 6.1% 13.6%
White Sox Road 28.4% 10.9% 10.0% RH 27.9% 10.2% 7.3% L7Days 30.6% 13.8% 9.8%
Giants Road 33.3% 12.1% 13.9% RH 31.5% 9.8% 12.9% L7Days 30.7% 7.5% 7.0%
Padres Road 33.9% 14.1% 17.0% RH 30.7% 9.5% 13.6% L7Days 31.5% 15.1% 13.0%
Orioles Home 32.1% 14.6% 9.3% RH 31.9% 15.5% 11.3% L7Days 34.7% 10.9% 13.6%
Phillies Home 20.9% 6.8% -0.2% RH 25.8% 9.2% 5.2% L7Days 29.1% 10.7% 7.9%
Red Sox Road 33.0% 13.3% 13.3% RH 33.7% 12.5% 15.7% L7Days 36.3% 8.3% 20.9%

K/SwStr Chart (2015 LG AVG – 20.6 K% – 9.4 SwStr% – 2.19 K/SwStr)

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

Pitcher Team K% Season SwStr% Season K%/SwStr% K% L30 Days SwStr% L30 Days K%/SwStr%
Alex Wood LOS 25.2% 9.8% 2.57 36.4% 11.6% 3.14
Andrew Cashner SDG 16.0% 5.8% 2.76 10.8% 6.6% 1.64
Carlos Martinez STL 19.0% 8.1% 2.35 19.5% 7.3% 2.67
Chad Bettis COL 17.0% 7.6% 2.24 16.4% 6.7% 2.45
Collin McHugh HOU 20.3% 10.7% 1.90 23.5% 13.3% 1.77
Dan Straily CIN 23.1% 10.8% 2.14 23.0% 10.4% 2.21
Derek Holland TEX 12.4% 6.1% 2.03 7.4% 4.1% 1.80
Edwin Escobar ARI
Ervin Santana MIN 20.0% 9.4% 2.13 19.6% 10.4% 1.88
Ian Kennedy KAN 24.2% 10.6% 2.28 25.9% 10.2% 2.54
Ivan Nova NYY 15.1% 9.3% 1.62 16.2% 9.0% 1.80
Jason Hammel CHC 21.6% 10.3% 2.10 20.0% 11.2% 1.79
Jeff Locke PIT 14.2% 8.1% 1.75 13.1% 7.0% 1.87
Jeff Samardzija SFO 22.3% 10.3% 2.17 25.0% 11.6% 2.16
Jeremy Hellickson PHI 24.4% 12.3% 1.98 23.2% 13.2% 1.76
Jhoulys Chacin ANA 19.5% 8.8% 2.22 14.3% 6.2% 2.31
Jose Quintana CHW 23.6% 8.7% 2.71 21.1% 8.0% 2.64
Josh Tomlin CLE 17.9% 7.2% 2.49 18.7% 6.8% 2.75
Junior Guerra MIL 25.2% 12.8% 1.97 25.2% 12.8% 1.97
Justin Nicolino FLA 8.2% 3.9% 2.10 8.2% 3.9% 2.10
Justin Verlander DET 26.5% 11.9% 2.23 27.9% 14.1% 1.98
Kendall Graveman OAK 17.0% 9.0% 1.89 14.5% 6.5% 2.23
Marco Estrada TOR 22.0% 10.2% 2.16 20.3% 11.5% 1.77
Matt Andriese TAM 16.2% 8.7% 1.86 16.2% 8.7% 1.86
Matt Harvey NYM 18.0% 10.2% 1.76 19.2% 10.5% 1.83
Mike Foltynewicz ATL 20.7% 8.5% 2.44 20.7% 8.5% 2.44
Nate Karns SEA 23.9% 10.2% 2.34 23.1% 10.7% 2.16
Steven Wright BOS 22.0% 11.5% 1.91 21.5% 11.1% 1.94
Tanner Roark WAS 22.0% 8.4% 2.62 20.6% 8.2% 2.51
Tyler Wilson BAL 12.4% 5.7% 2.18 12.5% 4.6% 2.72


All of tonigh’ts pitchers appear in line, except Ivan Nova, who we spoke briefly about above.

ERA Estimators Chart (2015 LG AVG – 4.10 ERA – 4.05 SIERA – 4.00 xFIP – 4.00 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 ERA
L30
SIERA
L30
DIFF xFIP
L30
DIFF FIP
L30
DIFF
Alex Wood LOS 4.03 3.35 -0.68 3.23 -0.8 3.35 -0.68 2.67 2.12 -0.55 1.98 -0.69 2.59 -0.08
Andrew Cashner SDG 4.87 4.91 0.04 4.84 -0.03 4.52 -0.35 4.76 5.57 0.81 5.26 0.5 5.29 0.53
Carlos Martinez STL 4.25 4.27 0.02 4.24 -0.01 4.11 -0.14 6.84 4.17 -2.67 4.11 -2.73 4.71 -2.13
Chad Bettis COL 4.9 4.16 -0.74 3.97 -0.93 4.05 -0.85 6.07 4.08 -1.99 3.89 -2.18 3.76 -2.31
Collin McHugh HOU 5.13 3.96 -1.17 4.03 -1.1 3.51 -1.62 4.06 3.56 -0.5 3.53 -0.53 3.57 -0.49
Dan Straily CIN 2.98 4.2 1.22 4.33 1.35 4.24 1.26 2.72 4.11 1.39 4.12 1.4 4.11 1.39
Derek Holland TEX 5.21 5.26 0.05 5.4 0.19 4.12 -1.09 7.23 5.81 -1.42 6.02 -1.21 4.42 -2.81
Edwin Escobar ARI
Ervin Santana MIN 4.17 4.29 0.12 4.05 -0.12 3.8 -0.37 5.14 4.24 -0.9 3.91 -1.23 4.4 -0.74
Ian Kennedy KAN 3.38 3.89 0.51 4.33 0.95 4.37 0.99 3.95 3.64 -0.31 4.11 0.16 4.51 0.56
Ivan Nova NYY 3.65 3.23 -0.42 3.6 -0.05 4.28 0.63 2.92 3.57 0.65 3.65 0.73 4.53 1.61
Jason Hammel CHC 2.17 4.26 2.09 4.19 2.02 3.37 1.2 3.3 4.38 1.08 4.29 0.99 4.05 0.75
Jeff Locke PIT 5.08 5.17 0.09 4.97 -0.11 5.36 0.28 5.12 5.05 -0.07 5 -0.12 5.45 0.33
Jeff Samardzija SFO 2.54 3.63 1.09 3.46 0.92 2.96 0.42 1.41 3.21 1.8 3.12 1.71 2.38 0.97
Jeremy Hellickson PHI 3.97 3.52 -0.45 3.44 -0.53 3.96 -0.01 4.11 3.56 -0.55 3.31 -0.8 4.13 0.02
Jhoulys Chacin ANA 5.11 3.82 -1.29 3.58 -1.53 4.16 -0.95 6.95 4.57 -2.38 4.36 -2.59 6.75 -0.2
Jose Quintana CHW 2.22 3.47 1.25 3.43 1.21 2.11 -0.11 2.88 3.54 0.66 3.54 0.66 2.39 -0.49
Josh Tomlin CLE 3.35 3.99 0.64 3.93 0.58 4.41 1.06 3.44 3.87 0.43 3.77 0.33 4.76 1.32
Junior Guerra MIL 3.3 3.98 0.68 4.01 0.71 3.18 -0.12 3.3 3.98 0.68 4.01 0.71 3.18 -0.12
Justin Nicolino FLA 4.37 5.76 1.39 5.41 1.04 5.03 0.66 5.53 5.84 0.31 5.66 0.13 5.46 -0.07
Justin Verlander DET 4.02 3.66 -0.36 3.98 -0.04 3.67 -0.35 2.8 3.5 0.7 3.76 0.96 2.83 0.03
Kendall Graveman OAK 5.36 4.48 -0.88 4.38 -0.98 5.69 0.33 6.57 5.03 -1.54 4.92 -1.65 6.07 -0.5
Marco Estrada TOR 2.76 4.35 1.59 4.56 1.8 3.85 1.09 2.65 4.48 1.83 4.65 2 4.5 1.85
Matt Andriese TAM 2.63 4.36 1.73 4.33 1.7 3.11 0.48 2.63 4.36 1.73 4.33 1.7 3.11 0.48
Matt Harvey NYM 6.08 4.38 -1.7 4.24 -1.84 4.43 -1.65 7.56 4.28 -3.28 4.27 -3.29 5.35 -2.21
Mike Foltynewicz ATL 3.95 3.88 -0.07 3.88 -0.07 4.51 0.56 3.95 3.88 -0.07 3.88 -0.07 4.51 0.56
Nate Karns SEA 3.53 3.98 0.45 3.82 0.29 3.82 0.29 3.45 3.8 0.35 3.74 0.29 3.43 -0.02
Steven Wright BOS 2.52 4.1 1.58 4.07 1.55 3.16 0.64 3.41 4.02 0.61 3.88 0.47 3.06 -0.35
Tanner Roark WAS 2.71 3.83 1.12 3.57 0.86 3.43 0.72 3.38 3.7 0.32 3.52 0.14 3.9 0.52
Tyler Wilson BAL 3.8 4.72 0.92 4.61 0.81 4.69 0.89 4.32 4.95 0.63 4.76 0.44 4.99 0.67


Ian Kennedy had an 84.2 LOB% that should regress, but I’m not as quick to question his .267 BABIP due to his batted ball profile (0.93 career GB/FB) and defense. His .290 career BABIP is not that much higher.

Tanner Roark doesn’t have anything out of line in his .282 BABIP, 75.6 LOB%, or 10.5 HR/FB. He has a league average 12.9 K-BB%, walking a few more batters than average. Five unearned runs have crossed the plate on his watch though, which would explain the entirely of the gap between his ERA and estimators.

BABIP Chart (2016 LG AVG – .297 BABIP – 21.0 LD% – 9.2 IFFB% – 86.6 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 Pitcher LD% Pitcher IFFB% Pitcher Zcontact
Alex Wood LOS 0.263 0.309 0.046 0.188 10.8% 87.7%
Andrew Cashner SDG 0.295 0.291 -0.004 0.208 4.9% 93.0%
Carlos Martinez STL 0.291 0.260 -0.031 0.164 4.4% 88.0%
Chad Bettis COL 0.321 0.295 -0.026 0.215 3.7% 84.9%
Collin McHugh HOU 0.310 0.382 0.072 0.206 10.6% 86.9%
Dan Straily CIN 0.292 0.225 -0.067 0.204 9.6% 83.3%
Derek Holland TEX 0.288 0.297 0.009 0.21 12.9% 89.9%
Edwin Escobar ARI 0.316
Ervin Santana MIN 0.325 0.331 0.006 0.24 10.3% 87.3%
Ian Kennedy KAN 0.295 0.267 -0.028 0.184 9.4% 83.3%
Ivan Nova NYY 0.297 0.276 -0.021 0.157 12.0% 90.5%
Jason Hammel CHC 0.251 0.269 0.018 0.188 7.7% 89.8%
Jeff Locke PIT 0.293 0.292 -0.001 0.173 3.8% 85.9%
Jeff Samardzija SFO 0.305 0.277 -0.028 0.216 11.1% 86.7%
Jeremy Hellickson PHI 0.289 0.307 0.018 0.229 9.1% 81.3%
Jhoulys Chacin ANA 0.295 0.293 -0.002 0.222 18.2% 89.7%
Jose Quintana CHW 0.286 0.296 0.01 0.24 11.3% 87.0%
Josh Tomlin CLE 0.282 0.235 -0.047 0.218 10.3% 92.2%
Junior Guerra MIL 0.301 0.267 -0.034 0.213 9.4% 82.3%
Justin Nicolino FLA 0.308 0.263 -0.045 0.218 4.9% 93.5%
Justin Verlander DET 0.312 0.278 -0.034 0.189 15.4% 82.2%
Kendall Graveman OAK 0.305 0.317 0.012 0.196 4.7% 89.7%
Marco Estrada TOR 0.277 0.213 -0.064 0.146 12.0% 86.2%
Matt Andriese TAM 0.277 0.225 -0.052 0.16 6.9% 90.8%
Matt Harvey NYM 0.311 0.374 0.063 0.274 8.5% 86.3%
Mike Foltynewicz ATL 0.300 0.325 0.025 0.241 6.7% 86.6%
Nate Karns SEA 0.273 0.294 0.021 0.25 8.2% 86.8%
Steven Wright BOS 0.298 0.261 -0.037 0.229 0.0% 77.7%
Tanner Roark WAS 0.280 0.282 0.002 0.234 5.3% 88.3%
Tyler Wilson BAL 0.296 0.232 -0.064 0.197 10.6% 94.5%


Justin Verlander has a BABIP a bit out of range for his poor defense, but has an excellent profile, as he’s always has, and has a .289 career rate.

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 changed 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.

I count 11 pitchers (full slate) with at least a $1.5K gap between their DK and FD prices, four at least $2K apart with the craziest instance being Andriese’s $10.2K on DraftKings. He perfectly doubles Holland on that site, while they’re just $400 apart on FanDuel. Again, we’re only covering the night slate pitchers down here though, which almost perfectly separates five pitchers.

Value Tier One

Ian Kennedy (1) turns out a bit more costly than you’d like to see him on DraftKings for nearly $10K, but might be tonight’s overall top pitcher and a bit easier top pick on FanDuel as I believe he might be in line for the night’s top strikeout rate if things go as projected (which you know they always do). Both he and the Rays have strikeout rates around a quarter of the time across the board.

Value Tier Two

Jeremy Hellickson (3t) has transformed himself in a Phillies uniform this season. He’s been missing bats since April, but has just recently started combining weaker contact on the ground. If he keeps all of it up, he’ll reach his former prospect potential without relying on his defense and stranding runners for a low ERA, like he has in the past. He costs just a bit more than average on DraftKings, but he’s performed that way and is in a slightly favorable spot tonight.

Value Tier Three

Tanner Roark (2) has been generating more pitcher friendly contact that any pitcher in the league. I’ve never seen a double digit negative contact differential through this many starts before. He’s also surprisingly striking out a higher than league average amount of batters, though he still really has that one standout start (15) and I think his overall rate might drop a bit below average eventually, but it should still be useful if he keeps generating nearly the amount of weak ground balls. He also has the top matchup tonight. Unfortunately, he costs nearly $9.6K on DraftKings, where there really isn’t a strong pick tonight, but he might be just as useful as the two above.

Value Tier Four – These guys seem basically in line with their price tag. They are either useable 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.

Justin Verlander (3t) has been truly dominant over the last four starts, but we can’t just forget the last three years and a month. Additionally, he’s tonight’s highest priced DraftKings pitcher ($10.9K) against an offense that doesn’t strike out.

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.