Advanced Stats - Pitching: Tuesday, May 24th

We pretty much have it all today; good pitchers, not so good ones, great matchups, poor ones, and large price gaps between the sites on a full slate after punting the lone afternoon game, so let’s get right to it.

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+
Andrew Cashner SDG 2.5 4.03 5.94 1.43 0.89 4.61 SFO 111 101 67
Chris Sale CHW 5 2.65 6.84 1.09 0.99 2.96 3.07 CLE 86 85 111
Chris Tillman BAL -2 4.38 5.85 1.11 1.01 4.75 3.77 HOU 96 99 60
Daniel Wright CIN -5.7 0 0 0.9 LOS 85 91 89
David Price BOS 3 3.03 6.99 1.1 1.07 3.11 2.56 COL 90 91 45
Doug Fister HOU 2.1 4.28 6.23 1.42 1.01 4.48 3.51 BAL 113 116 65
Edinson Volquez KAN 6.8 4.27 6.09 1.47 1.03 4.37 4.83 MIN 82 87 57
Ervin Santana MIN -2.6 4.05 6.13 1.2 1.03 4.35 3.85 KAN 94 94 102
Francisco Liriano PIT 1.3 3.54 5.9 1.95 0.95 3 4.52 ARI 107 119 96
Jason Hammel CHC 11.6 3.54 5.63 1.08 0.97 3.29 2.97 STL 113 127 103
Jeff Samardzija SFO -0.6 3.62 6.72 1.22 0.89 3.93 3.45 SDG 77 66 25
Jeremy Hellickson PHI -0.2 4 5.29 1.08 1.01 4.18 2.86 DET 114 117 158
Jhoulys Chacin ANA 5.1 4.15 5.67 1.58 1.07 3.28 3.99 TEX 96 89 75
Jimmy Nelson MIL -9.4 4.06 5.96 1.62 0.96 4.76 4.49 ATL 64 75 100
Jorge de la Rosa COL 2.8 4.09 5.66 1.71 1.07 3.68 BOS 135 125 124
Josh Tomlin CLE 10.2 3.43 6.1 0.97 0.99 4.27 3.99 CHW 90 93 76
Julio Teheran ATL -6.1 3.97 6.26 0.95 0.96 3.85 4.37 MIL 77 94 46
Justin Verlander DET -6.6 3.93 6.47 0.85 1.01 4.22 3.18 PHI 81 77 77
Kendall Graveman OAK -14.1 4.33 5.45 1.82 0.9 4.24 5.2 SEA 94 109 116
Martin Perez TEX 13 4.46 5.78 2.56 1.07 4.04 4.37 ANA 99 90 107
Matt Harvey NYM -3.5 3.41 6.24 1.27 1.02 3.59 3.8 WAS 87 86 85
Michael Wacha STL -13.6 4.14 5.81 1.4 0.97 3.67 4.47 CHC 114 111 80
Mike Bolsinger LOS 4.8 3.98 5.26 1.82 0.9 3.49 5.63 CIN 66 72 38
Nate Karns SEA -7.7 3.84 5.61 1.13 0.9 4.05 3.86 OAK 100 88 75
Nathan Eovaldi NYY -1.4 3.96 5.9 1.65 1.02 3.75 3.78 TOR 98 97 101
R.A. Dickey TOR 3.4 4.41 6.42 1.12 1.02 4.73 3.53 NYY 101 96 105
Shelby Miller ARI -6.8 4.46 5.88 1.15 0.95 4.77 4.8 PIT 118 114 115
Stephen Strasburg WAS 4.9 2.71 6.11 1.32 1.02 2.87 2.74 NYM 109 106 87


Chris Sale has pitched consecutive complete games and has only allowed more than one run twice since his second start and no more than two. If he’s going to keep finishing games, maybe he’ll be worth it with his new pitch to contact approach….as long as he keeps striking out batters too (nine in two of his last three starts). I have some skepticism that that will continue though. Cleveland has struggled to hit for power against LHP (6.0 HR/FB).

David Price struck out just five in his last start and that many or less in four of his last six, but has allowed just three ERs over his last two starts with a hard contact rate just half of what it had been for the season prior to those starts. To make the lower strikeout games less concerning, his SwStr has been at least 12% in all but one start this season. The Rockies are a below average offense on the road with a 25.0 K% vs LHP, though a 20.7 HR/FB that has to be taken with a grain of salt away from Coors. They have been particularly cold away from home over the last week (-2.4 Hard-Soft%).

Jeff Samardzija gets San Diego for the third time in a month and like teammate Johnny Cueto, he dominated them in his last start, but unlike Cueto, was touched up for five runs in the previous one. He’s allowed a total of five runs, pitching at least 7.2 innings in all four starts since, striking out at least eight in three of them. The weary Padres came into last night playing two straight extra-inning games, including 17 on Sunday and may still be feeling it. Even if they’re fully rested, they’re still the worst offense in baseball vs RHP, striking out a quarter of the time.

Jhoulys Chacin has not pitched well in May at all, combining poor control with frequent hard contact and a disappearing K%. Why could we possibly be talking about him up here then? The Rangers have struggled against RHP and been terrible against over the last week (19.5 K-BB%). Additionally, Odor may may start serving his suspension tonight, so be sure to check the lineup.

Justin Verlander has gone at least seven innings with eight or more strikeouts in each of his last three starts. He’s striking out a quarter of his batters with his highest SwStr% since 2012. The Phillies are a pretty awful offense. They don’t strike out a ton, but don’t walk or hit the ball hard (25.4 Hard% vs RHP).

Matt Harvey is a very high risk proposition, who looked terrible last time out even though his defense betrayed him. It probably would have happened the next inning. He faces the same team that can’t hit RHP. They have a 9.9 BB%, but we all know why that is. They have just a 5.0 HR/FB over the last week and were shut down by Bartolo Colon with a bad back last night. The Mets keep saying that Harvey has looked great in his bullpens, but can’t carry his mechanics over to the game. It may or may not happen tonight.

Mike Bolsinger returned with a weak offering against an Angels offense that does not strike out in his first start. His 8.7 SwStr% was right on his career rate and he’s been able to turn that into a league average career strikeout rate. Now that he got that out of the way, if we can expect him to be something close to the league average pitcher he was last year, he’s in the only other spot that can compare to San Diego tonight. The Reds have just a 5.8 HR/FB on the road. The Reds are now the second worst offense vs RHP (17.1 K-BB%).

Stephen Strasburg has struck out at least seven in each of his last eight starts and dominated this offense in his last start. He’s gone at least six innings in every start this year. He has the top K% and second best SwStr% on the board today. The Mets have a 29.5 K% over the last week with a mark just above average (22.7%) against RHP. The Mets do have quite a bit of power vs RHP (15.6 HR/FB) and on the road (17.3 HR/FB, 22.5 Hard-Soft%) with a 21.7 HR/FB over the last week.

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)

Jason Hammel (.280 BABIP83.6 LOB% – 7.3 HR/FB) has been extremely good, even if not as good as his ERA suggests, but the issue with him is that he’s only been allowed to go past six innings once and the Cardinals are an extremely difficult matchup against RHPs at home. He does have a 19.0 K-BB% on the road since last season and has struck out 15 of his last 53 batters. I could almost be swayed if I thought there was a chance he’d get seven innings.

Julio Teheran (.253 BABIP – 78.0 LOB% – 7.8 HR/FB) only really has a HR/FB much off from his career rates, but has struck out just 13 of his last 78 batters. The Brewers strike out an amazing 27.1% vs RHP and 31.1% over the last week, but do have some power (15.7 HR/FB over RHP). He’s viable with some upside on FanDuel for just over $8K, but $9.4K on DraftKings feels a bit difficult to beat.

Ervin Santana (.300 BABIP – 74.2 LOB% – 8.6 HR/FB) has been the epitome of average. Not that average is bad, but if were looking for a reason why his ERA is a run below his estimators through 37 innings it’s a bit in his HR rate (10.7 career HR/FB), but also in three of his 16 runs being unearned. The Royals have struck out more this season and have been below average overall offensively. Santana is not a terrible selection for just $6.6K on FanDuel, but there’s just not a lot of upside here.

Chris Tillman (.287 BABIP79.4 LOB% – 3.8 HR/FB) is an improved pitcher with a double digit SwStr% and much improved K%, but it’s still difficult to justify his cost today, especially on DraftKings. He has a double digit walk rate and a career 10.7 HR/FB. He has a 0.98 GB/FB this year pitching in Baltimore. He’s in a park that plays similarly friendly for power tonight. The Astros do strike out a lot though (25.5 K% vs RHP).

Jimmy Nelson (.239 BABIP – 79.0 LOB% – 15.1 HR/FB) has been terrible on the road since last season (4.3 K-BB%), while the Braves have been a bit better since Inciarte came off the DL.

Martin Perez (.256 BABIP – 74.9 LOB% – 10.0 HR/FB) has a 1.3 K-BB%. His 58.8 GB% is elite, but his Hard% is up six points since last season.

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

Francisco Liriano is generally always in play at home and you would think a matchup with the Diamondbacks outside of Arizona would be beneficial, but they’ve been a strong offense vs LHP, leaning strongly right handed now and this is a pitcher who is very difficult to trust with a 12.0 BB% and up and inconsistent strikeout totals from start to start. Arizona had a 9.1 BB% and 19.3 HR/FB (37.5 Hard%) vs LHP. He may hit his upside often enough to clear his $8.5K cost on DraftKings. It’s still high risk, but more borderline there.

Nate Karns has been decent this year from a rates standpoint and is in a decent spot tonight. However, he’s averaged only 5.2 innings over this last two years and has only even surpassed that in half his starts this year. He costs more than the average arm and Houston is the only offense he’s struck out more than five against in his last four starts.

Josh Tomlin might have the upside to be worth $8K if he were still striking batters out at a league average or better rate.

Nathan Eovaldi hasn’t been bad this season and may be better than his ERA for the season, but his K% has dropped below average over the last month, while his cost remains slightly above in a tough spot against the Blue Jays at Yankee Stadium.

Jeremy Hellickson has been good and is finally living up to his potential with an above average strikeout rate, but still allows a lot of hard contact in the air (17.6 HR/FB) and this would seem like a very dangerous spot for him at an increasing cost against the hottest offense in the league.

Edinson Volquez is usually a pitcher to pick your spots with and this wouldn’t be a terrible one if he hasn’t been awful over his last five starts, allowing at least four runs three times and striking out just two in one of the other two. He’s walked four in two of his last three starts and has just one start with more than five strikeouts since April 10th.

Michael Wacha has been mashed over his last few starts and now has an ERA that meets his estimators and a difficult matchup against the highest walk rate in baseball tonight (11.7 BB% vs RHP).

R.A. Dickey

Daniel Wright is a 25 year old former 10th round pick in 2013, who has pitched just 14 innings above AA. He was working as a swingman before being promoted to AAA, where he threw a complete game with eight strikeouts in his last start. His K% has hovered around average to a bit above at each level of the minors with good control, but occasional issues with HRs.

Doug Fister

Kendal Graveman now combines a high HR rate with fewer strikeouts and more walks over the last month.

Andrew Cashner

Jorge de la Rosa

Shelby Miller

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 Cashner Padres L2 Years 19.5% 7.5% Road 16.8% 10.1% L14 Days
Chris Sale White Sox L2 Years 30.3% 5.0% Home 28.5% 4.8% L14 Days 23.4% 0.0%
Chris Tillman Orioles L2 Years 17.8% 8.2% Road 16.2% 8.6% L14 Days 25.0% 9.6%
Daniel Wright Reds L2 Years 0.0% 0.0% Road L14 Days
David Price Red Sox L2 Years 26.5% 5.0% Home 26.7% 4.2% L14 Days 30.9% 3.6%
Doug Fister Astros L2 Years 14.2% 5.0% Home 12.6% 4.6% L14 Days 15.4% 1.9%
Edinson Volquez Royals L2 Years 18.4% 8.8% Road 18.8% 9.3% L14 Days 12.7% 7.3%
Ervin Santana Twins L2 Years 20.1% 8.1% Home 17.5% 8.6% L14 Days 19.6% 5.9%
Francisco Liriano Pirates L2 Years 26.3% 10.6% Home 27.2% 8.4% L14 Days 20.0% 10.9%
Jason Hammel Cubs L2 Years 23.3% 6.4% Road 26.7% 6.8% L14 Days 28.3% 7.6%
Jeff Samardzija Giants L2 Years 20.7% 4.8% Home 20.6% 5.3% L14 Days 19.3% 0.0%
Jeremy Hellickson Phillies L2 Years 20.0% 6.9% Road 20.2% 7.4% L14 Days 27.7% 4.3%
Jhoulys Chacin Angels L2 Years 18.9% 8.7% Road 21.4% 7.1% L14 Days 12.5% 6.3%
Jimmy Nelson Brewers L2 Years 19.3% 8.2% Road 16.1% 11.8% L14 Days 17.2% 8.6%
Jorge de la Rosa Rockies L2 Years 19.9% 9.5% Road 19.9% 8.6% L14 Days
Josh Tomlin Indians L2 Years 21.3% 3.1% Road 17.6% 3.0% L14 Days 20.0% 5.5%
Julio Teheran Braves L2 Years 20.8% 7.3% Home 22.3% 8.3% L14 Days 14.3% 5.4%
Justin Verlander Tigers L2 Years 20.5% 6.5% Home 23.3% 7.8% L14 Days 30.0% 8.3%
Kendall Graveman Athletics L2 Years 16.0% 7.7% Road 17.1% 9.1% L14 Days 11.3% 11.3%
Martin Perez Rangers L2 Years 14.0% 9.2% Home 13.9% 5.7% L14 Days 10.7% 8.9%
Matt Harvey Mets L2 Years 23.7% 5.3% Road 22.7% 6.6% L14 Days 17.4% 4.4%
Michael Wacha Cardinals L2 Years 19.0% 7.8% Home 20.1% 7.5% L14 Days 13.0% 8.7%
Mike Bolsinger Dodgers L2 Years 20.6% 9.2% Home 22.5% 8.5% L14 Days 9.5% 9.5%
Nate Karns Mariners L2 Years 23.9% 9.1% Home 21.9% 9.4% L14 Days 22.2% 6.7%
Nathan Eovaldi Yankees L2 Years 17.4% 6.1% Home 19.0% 6.7% L14 Days 18.6% 4.7%
R.A. Dickey Blue Jays L2 Years 16.4% 6.9% Road 13.1% 6.0% L14 Days 22.2% 3.7%
Shelby Miller Diamondbacks L2 Years 17.9% 8.9% Road 15.8% 9.9% L14 Days 13.7% 7.8%
Stephen Strasburg Nationals L2 Years 29.0% 5.0% Home 30.6% 5.9% L14 Days 34.2% 8.5%

K/BB Chart – Opponent

Opponent Split K% BB% Split K% BB% Split K% BB%
Giants Home 16.8% 11.1% RH 16.1% 11.2% L7Days 17.5% 9.2%
Indians Road 23.0% 7.4% LH 21.9% 7.5% L7Days 19.6% 11.0%
Astros Home 26.2% 11.4% RH 25.5% 10.1% L7Days 26.4% 6.4%
Dodgers Home 18.8% 8.2% RH 19.8% 8.6% L7Days 15.3% 9.8%
Rockies Road 20.5% 6.4% LH 25.1% 8.8% L7Days 19.6% 6.4%
Orioles Road 24.1% 6.7% RH 21.9% 7.8% L7Days 21.0% 6.5%
Twins Home 18.5% 7.3% RH 23.2% 7.5% L7Days 21.7% 6.0%
Royals Road 19.9% 5.5% RH 19.5% 6.0% L7Days 19.5% 4.7%
Diamondbacks Road 18.8% 7.2% LH 19.6% 9.1% L7Days 19.6% 5.8%
Cardinals Home 20.8% 8.7% RH 19.9% 8.7% L7Days 21.4% 10.5%
Padres Road 26.4% 6.5% RH 24.9% 6.5% L7Days 26.2% 7.3%
Tigers Home 22.1% 8.0% RH 23.1% 6.8% L7Days 17.6% 5.0%
Rangers Home 18.1% 8.4% RH 19.0% 7.7% L7Days 23.7% 4.2%
Braves Home 21.9% 7.6% RH 19.4% 8.2% L7Days 14.8% 7.9%
Red Sox Home 17.9% 9.3% LH 21.0% 8.9% L7Days 20.9% 9.8%
White Sox Home 20.3% 10.8% RH 19.9% 9.0% L7Days 23.4% 8.4%
Brewers Road 26.1% 10.5% RH 27.1% 9.8% L7Days 31.1% 8.7%
Phillies Road 20.8% 5.9% RH 21.1% 6.8% L7Days 21.1% 5.3%
Mariners Home 21.0% 9.8% RH 19.6% 9.5% L7Days 15.6% 10.2%
Angels Road 15.8% 7.7% LH 16.1% 8.4% L7Days 18.3% 7.6%
Nationals Home 19.0% 11.1% RH 20.6% 9.9% L7Days 19.7% 12.3%
Cubs Road 19.2% 11.3% RH 19.7% 11.7% L7Days 20.6% 9.7%
Reds Road 22.5% 6.7% RH 23.3% 6.2% L7Days 25.1% 5.6%
Athletics Road 19.5% 6.2% RH 18.6% 6.9% L7Days 20.2% 5.4%
Blue Jays Road 22.0% 8.9% RH 23.0% 9.4% L7Days 19.4% 7.5%
Yankees Home 18.7% 9.1% RH 18.4% 8.3% L7Days 19.8% 7.6%
Pirates Home 17.9% 9.3% RH 18.2% 9.0% L7Days 16.7% 5.4%
Mets Road 23.8% 8.1% RH 22.7% 9.2% L7Days 29.5% 7.8%

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%
Andrew Cashner Padres L2 Years 29.5% 10.1% 13.1% 2016 26.1% 10.8% 13.5% Road 27.1% 11.6% 8.8% L14 Days
Chris Sale White Sox L2 Years 25.7% 10.0% 5.3% 2016 23.0% 7.2% 1.1% Home 23.5% 14.3% 1.5% L14 Days 16.3% 10.5% 0.0%
Chris Tillman Orioles L2 Years 28.2% 8.5% 10.1% 2016 29.8% 3.8% 3.1% Road 29.2% 11.5% 9.3% L14 Days 35.3% 8.3% 5.9%
Daniel Wright Reds L2 Years 0.0% 0.0% 0.0% 2016 Road L14 Days
David Price Red Sox L2 Years 28.3% 8.0% 11.9% 2016 36.0% 10.4% 19.3% Home 29.6% 8.5% 15.4% L14 Days 19.4% 7.1% 2.7%
Doug Fister Astros L2 Years 28.2% 10.7% 10.1% 2016 30.8% 13.3% 11.9% Home 27.8% 10.2% 10.9% L14 Days 25.6% 9.1% -2.3%
Edinson Volquez Royals L2 Years 28.4% 7.5% 10.7% 2016 23.4% 10.3% 1.7% Road 26.9% 11.1% 7.2% L14 Days 22.7% 11.8% -2.3%
Ervin Santana Twins L2 Years 28.9% 9.1% 10.8% 2016 27.4% 8.6% 3.5% Home 31.3% 11.9% 16.1% L14 Days 34.2% 9.1% 10.5%
Francisco Liriano Pirates L2 Years 26.0% 12.7% 1.4% 2016 35.6% 23.1% 14.4% Home 26.9% 18.2% -1.6% L14 Days 34.2% 33.3% 18.4%
Jason Hammel Cubs L2 Years 30.7% 12.8% 12.7% 2016 25.8% 7.3% 3.1% Road 29.6% 10.2% 11.4% L14 Days 23.5% 25.0% 0.0%
Jeff Samardzija Giants L2 Years 27.0% 11.1% 8.2% 2016 28.4% 7.1% 10.4% Home 27.6% 12.2% 11.1% L14 Days 50.0% 0.0% 34.8%
Jeremy Hellickson Phillies L2 Years 33.8% 13.0% 16.8% 2016 32.9% 17.6% 11.2% Road 35.1% 14.9% 18.2% L14 Days 25.0% 0.0% -9.4%
Jhoulys Chacin Angels L2 Years 35.1% 14.4% 18.5% 2016 36.7% 17.2% 16.7% Road 39.5% 23.1% 21.1% L14 Days 38.5% 16.7% 20.5%
Jimmy Nelson Brewers L2 Years 30.5% 11.6% 10.3% 2016 33.5% 15.1% 10.1% Road 29.4% 8.8% 11.5% L14 Days 39.0% 0.0% 21.9%
Jorge de la Rosa Rockies L2 Years 32.3% 15.1% 15.1% 2016 37.1% 33.3% 18.5% Road 32.3% 12.9% 13.5% L14 Days
Josh Tomlin Indians L2 Years 33.5% 15.3% 18.2% 2016 38.2% 14.5% 24.2% Road 35.4% 12.2% 18.3% L14 Days 34.2% 22.2% 9.8%
Julio Teheran Braves L2 Years 31.3% 10.0% 14.6% 2016 36.8% 7.8% 20.8% Home 35.6% 9.1% 18.6% L14 Days 28.6% 0.0% 4.8%
Justin Verlander Tigers L2 Years 25.8% 8.7% 6.5% 2016 28.6% 11.1% 8.5% Home 27.9% 7.4% 10.7% L14 Days 16.7% 5.9% -2.7%
Kendall Graveman Athletics L2 Years 28.8% 16.8% 12.7% 2016 30.9% 25.0% 14.3% Road 26.3% 22.4% 11.0% L14 Days 22.5% 12.5% 12.5%
Martin Perez Rangers L2 Years 25.0% 7.1% 6.8% 2016 28.7% 10.0% 12.2% Home 18.8% 8.3% -2.0% L14 Days 24.4% 10.0% 8.8%
Matt Harvey Mets L2 Years 27.5% 10.0% 8.7% 2016 29.8% 10.4% 6.2% Road 26.1% 7.8% 8.8% L14 Days 30.6% 16.7% 11.2%
Michael Wacha Cardinals L2 Years 30.4% 9.3% 10.9% 2016 29.2% 9.1% 13.0% Home 27.9% 10.0% 8.3% L14 Days 25.0% 0.0% 11.1%
Mike Bolsinger Dodgers L2 Years 30.5% 12.6% 13.9% 2016 23.5% 20.0% -11.8% Home 29.5% 10.3% 13.7% L14 Days 23.5% 20.0% -11.8%
Nate Karns Mariners L2 Years 33.9% 13.2% 14.2% 2016 33.6% 11.6% 16.0% Home 34.2% 12.1% 16.2% L14 Days 37.5% 0.0% 12.5%
Nathan Eovaldi Yankees L2 Years 29.0% 8.1% 9.9% 2016 30.8% 16.7% 14.7% Home 28.5% 10.5% 6.7% L14 Days 15.2% 9.1% 0.0%
R.A. Dickey Blue Jays L2 Years 25.7% 11.2% 5.7% 2016 28.5% 13.8% 8.7% Road 25.2% 9.0% 4.3% L14 Days 22.5% 17.6% -5.0%
Shelby Miller Diamondbacks L2 Years 30.5% 8.5% 11.6% 2016 38.0% 18.0% 24.1% Road 28.1% 7.7% 4.4% L14 Days 40.0% 20.0% 32.5%
Stephen Strasburg Nationals L2 Years 28.7% 12.7% 9.8% 2016 25.2% 8.2% 2.0% Home 26.6% 13.2% 3.2% L14 Days 26.1% 18.8% -6.5%

Batted Ball Charts – Opponent

Opponent Split Hard% HR/FB% Hd-St% Split Hard% HR/FB% Hd-St% Split Hard% HR/FB% Hd-St%
Giants Home 27.4% 6.8% 5.6% RH 31.2% 10.0% 12.3% L7Days 29.9% 5.7% 6.5%
Indians Road 30.8% 12.2% 12.8% LH 30.0% 6.0% 11.7% L7Days 34.7% 14.4% 21.4%
Astros Home 35.3% 13.0% 19.3% RH 34.0% 15.2% 16.6% L7Days 31.8% 19.5% 16.3%
Dodgers Home 30.1% 14.0% 11.7% RH 32.2% 10.6% 15.5% L7Days 32.3% 12.9% 18.2%
Rockies Road 29.8% 13.9% 9.8% LH 31.8% 20.7% 9.7% L7Days 20.4% 6.5% -2.4%
Orioles Road 31.5% 16.6% 13.6% RH 31.4% 16.3% 10.9% L7Days 29.9% 10.8% 9.8%
Twins Home 32.3% 8.4% 14.3% RH 32.2% 11.1% 14.0% L7Days 32.2% 8.8% 13.0%
Royals Road 26.2% 9.4% 6.8% RH 28.8% 8.9% 8.8% L7Days 24.5% 7.7% 3.7%
Diamondbacks Road 31.8% 12.3% 11.7% LH 37.5% 19.3% 19.7% L7Days 27.5% 17.2% 10.8%
Cardinals Home 33.9% 14.2% 17.2% RH 33.1% 15.6% 15.3% L7Days 35.0% 13.5% 19.2%
Padres Road 33.7% 13.5% 17.1% RH 30.1% 9.3% 13.3% L7Days 26.3% 6.5% 3.4%
Tigers Home 36.4% 14.2% 21.3% RH 34.7% 14.5% 18.2% L7Days 40.6% 19.4% 29.4%
Rangers Home 26.1% 10.3% 4.2% RH 28.0% 10.8% 8.4% L7Days 34.9% 10.2% 20.4%
Braves Home 28.9% 4.3% 10.8% RH 23.8% 4.8% 3.0% L7Days 24.7% 12.7% -1.7%
Red Sox Home 33.2% 13.3% 14.5% LH 28.4% 14.9% 4.7% L7Days 35.2% 16.0% 13.8%
White Sox Home 27.4% 9.2% 4.1% RH 27.7% 10.0% 7.0% L7Days 27.2% 5.9% 3.9%
Brewers Road 27.0% 12.6% 6.4% RH 30.9% 15.7% 11.6% L7Days 28.8% 9.4% 2.3%
Phillies Road 29.4% 10.9% 8.7% RH 25.4% 9.0% 5.0% L7Days 26.5% 11.6% 4.6%
Mariners Home 26.2% 12.7% 5.1% RH 29.7% 13.6% 11.5% L7Days 31.2% 13.4% 10.9%
Angels Road 27.0% 8.5% 3.5% LH 25.2% 10.3% 3.7% L7Days 28.1% 8.3% 9.9%
Nationals Home 30.8% 10.0% 13.1% RH 32.3% 11.0% 15.3% L7Days 35.9% 5.0% 17.7%
Cubs Road 31.8% 14.1% 13.7% RH 31.6% 11.9% 12.9% L7Days 34.2% 14.8% 11.7%
Reds Road 29.5% 5.8% 11.4% RH 31.7% 11.8% 14.7% L7Days 30.1% 11.3% 15.6%
Athletics Road 30.6% 12.4% 11.7% RH 30.1% 10.1% 11.6% L7Days 29.6% 11.3% 13.7%
Blue Jays Road 31.5% 13.6% 12.5% RH 33.8% 13.7% 17.1% L7Days 40.0% 19.1% 26.7%
Yankees Home 25.7% 12.4% 4.3% RH 24.3% 14.0% 6.6% L7Days 22.5% 11.9% 6.5%
Pirates Home 27.0% 9.1% 6.1% RH 27.4% 9.7% 6.3% L7Days 30.4% 4.2% 9.6%
Mets Road 35.7% 17.3% 22.5% RH 34.2% 15.6% 16.4% L7Days 32.9% 21.7% 4.7%

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%
Andrew Cashner SDG 18.0% 6.1% 2.95 13.6% 6.4% 2.13
Chris Sale CHW 24.5% 9.2% 2.66 25.0% 7.8% 3.21
Chris Tillman BAL 25.6% 10.4% 2.46 28.8% 10.2% 2.82
Daniel Wright CIN
David Price BOS 29.4% 13.9% 2.12 27.0% 12.4% 2.18
Doug Fister HOU 13.4% 5.1% 2.63 13.7% 5.2% 2.63
Edinson Volquez KAN 18.1% 8.4% 2.15 15.2% 7.0% 2.17
Ervin Santana MIN 20.1% 9.8% 2.05 19.7% 11.6% 1.70
Francisco Liriano PIT 23.9% 11.4% 2.10 24.3% 11.7% 2.08
Jason Hammel CHC 22.5% 10.0% 2.25 23.1% 10.7% 2.16
Jeff Samardzija SFO 21.9% 10.4% 2.11 25.7% 11.5% 2.23
Jeremy Hellickson PHI 24.2% 12.0% 2.02 24.4% 11.3% 2.16
Jhoulys Chacin ANA 20.0% 9.8% 2.04 15.5% 7.7% 2.01
Jimmy Nelson MIL 19.3% 7.1% 2.72 20.3% 7.8% 2.60
Jorge de la Rosa COL 26.7% 11.2% 2.38 27.8% 13.7% 2.03
Josh Tomlin CLE 17.4% 6.8% 2.56 15.6% 6.2% 2.52
Julio Teheran ATL 20.4% 9.0% 2.27 22.6% 9.5% 2.38
Justin Verlander DET 25.4% 11.3% 2.25 25.4% 12.2% 2.08
Kendall Graveman OAK 17.2% 9.6% 1.79 14.8% 8.7% 1.70
Martin Perez TEX 13.8% 7.9% 1.75 15.9% 7.5% 2.12
Matt Harvey NYM 19.6% 10.7% 1.83 23.8% 12.0% 1.98
Michael Wacha STL 19.6% 7.9% 2.48 18.7% 8.0% 2.34
Mike Bolsinger LOS 9.5% 8.7% 1.09 9.5% 8.7% 1.09
Nate Karns SEA 25.1% 10.6% 2.37 24.8% 10.7% 2.32
Nathan Eovaldi NYY 22.6% 8.9% 2.54 18.7% 8.2% 2.28
R.A. Dickey TOR 17.5% 10.4% 1.68 15.7% 10.1% 1.55
Shelby Miller ARI 14.2% 6.5% 2.18 14.4% 7.1% 2.03
Stephen Strasburg WAS 30.9% 12.1% 2.55 32.9% 12.3% 2.67


We are already at the point where every pitcher who has made more than seven starts this year (besides the knuckleballer) conforms.

Chris Sale has a SwStr below 8% in four of his last six starts, but just cracked double digits in his most recent against Houston. He truly has been trying to generate contact.

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
Andrew Cashner SDG 4.93 4.5 -0.43 4.6 -0.33 4.43 -0.5 5.93 5.51 -0.42 5.68 -0.25 5.63 -0.3
Chris Sale CHW 1.58 3.25 1.67 3.41 1.83 2.78 1.2 1.41 3.34 1.93 3.57 2.16 2.91 1.5
Chris Tillman BAL 2.61 3.84 1.23 3.96 1.35 2.86 0.25 1.62 3.66 2.04 3.74 2.12 2.62 1
Daniel Wright CIN
David Price BOS 5.53 2.9 -2.63 2.88 -2.65 2.69 -2.84 4.54 3.08 -1.46 2.87 -1.67 2.39 -2.15
Doug Fister HOU 4.22 4.73 0.51 4.39 0.17 4.54 0.32 3.34 4.72 1.38 4.43 1.09 4.28 0.94
Edinson Volquez KAN 3.79 4.24 0.45 4.2 0.41 3.97 0.18 6 4.63 -1.37 4.76 -1.24 4.94 -1.06
Ervin Santana MIN 3.13 4.2 1.07 3.95 0.82 3.53 0.4 3.12 4.13 1.01 3.76 0.64 3.99 0.87
Francisco Liriano PIT 4.63 4.12 -0.51 3.97 -0.66 5.17 0.54 4.88 3.63 -1.25 3.61 -1.27 4.6 -0.28
Jason Hammel CHC 2.31 4 1.69 3.89 1.58 3.35 1.04 3.14 3.81 0.67 3.58 0.44 3.73 0.59
Jeff Samardzija SFO 2.66 3.48 0.82 3.33 0.67 2.78 0.12 2.41 2.98 0.57 2.93 0.52 2.24 -0.17
Jeremy Hellickson PHI 3.99 3.52 -0.47 3.51 -0.48 4.26 0.27 3.23 3.66 0.43 3.52 0.29 4.21 0.98
Jhoulys Chacin ANA 5.21 3.72 -1.49 3.4 -1.81 3.91 -1.3 6.41 4.52 -1.89 4.18 -2.23 5.32 -1.09
Jimmy Nelson MIL 3.07 4.37 1.3 4.25 1.18 4.61 1.54 2.76 4.26 1.5 4.14 1.38 3.68 0.92
Jorge de la Rosa COL 10.18 3.83 -6.35 4 -6.18 6.86 -3.32 12 4.51 -7.49 5.83 -6.17 16.74 4.74
Josh Tomlin CLE 3.56 4.02 0.46 4.1 0.54 4.51 0.95 4.31 4.26 -0.05 4.27 -0.04 5.18 0.87
Julio Teheran ATL 2.73 4.09 1.36 4.31 1.58 3.68 0.95 0.8 3.74 2.94 4.03 3.23 2.83 2.03
Justin Verlander DET 4.58 3.73 -0.85 4.1 -0.48 3.95 -0.63 3.74 3.75 0.01 4.2 0.46 3.4 -0.34
Kendall Graveman OAK 5.48 4.37 -1.11 4.33 -1.15 5.91 0.43 7.92 4.83 -3.09 4.95 -2.97 7.35 -0.57
Martin Perez TEX 3.48 5.09 1.61 4.74 1.26 4.54 1.06 2.67 4.65 1.98 4.37 1.7 4.09 1.42
Matt Harvey NYM 5.77 4.08 -1.69 3.84 -1.93 3.63 -2.14 6.23 3.53 -2.7 3.34 -2.89 3.65 -2.58
Michael Wacha STL 4.03 4.05 0.02 3.81 -0.22 3.48 -0.55 4.63 4.43 -0.2 4.4 -0.23 4.27 -0.36
Mike Bolsinger LOS 6.23 5.61 -0.62 5.34 -0.89 6.53 0.3 6.23 5.63 -0.6 5.34 -0.89 6.53 0.3
Nate Karns SEA 3.33 3.79 0.46 3.62 0.29 3.57 0.24 2.35 3.58 1.23 3.43 1.08 2.84 0.49
Nathan Eovaldi NYY 4.44 3.27 -1.17 3.25 -1.19 3.77 -0.67 3.48 3.46 -0.02 3.47 -0.01 3.62 0.14
R.A. Dickey TOR 4.5 4.36 -0.14 4.22 -0.28 4.46 -0.04 3.51 4.38 0.87 4.32 0.81 5.17 1.66
Shelby Miller ARI 6.64 5.65 -0.99 5.59 -1.05 6.54 -0.1 5.54 5.41 -0.13 5.18 -0.36 5.49 -0.05
Stephen Strasburg WAS 2.8 2.79 -0.01 2.71 -0.09 2.3 -0.5 3.66 2.54 -1.12 2.56 -1.1 2.41 -1.25


Chris Sale can not sustain a .197 BABIP, although there should be some potential for him to greatly improve on his .323 from last year with a great profile and improved defense. Overall, the new approach is working for him now and he’s stranding 86.7% of his batters as a result, but sub-.200 BABIPs are just not long term things. I still fail to see the error in his 32.1K% last year, but until he doesn’t either, we’ll have to live with this version of Sale.

David Price still has a tremendous gap in his ERA and estimators and has had a BABIP above .350 in all but two starts this season. His hard contact rate was below 22% in each of his last two starts though, the first time below 33% since his first start. Thinks are starting to look better, but there’s still a lot of regression in his BABIP and 59.7 LOB%.

Jeff Samardzija has a 7.1 HR/FB and has never been below double digits, but has never had much experience with such favorable parks. Much remains to be seen.

Jhoulys Chacin hasn’t been good at all over his last three starts, but his 63.6 LOB% and 17.2 HR/FB both seem candidates for significant regression. Four of his five HRs came in one early afternoon mid-week start. A declining K% and SwStr% give caution to buying completely into his season estimators either.

Matt Harvey has the lowest aEV (87.7 mph) on the board today and also the highest BABIP due to a 29.2 LD%, which should regress. He’s stranded just 62.2% of his runners. He had a season low 4.9 SwStr% in his last start, but was above 10% in four of his previous five.

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
Andrew Cashner SDG 0.294 0.308 0.014 0.204 5.4% 92.3%
Chris Sale CHW 0.275 0.197 -0.078 0.177 15.9% 85.3%
Chris Tillman BAL 0.299 0.287 -0.012 0.198 11.3% 80.9%
Daniel Wright CIN 0.289
David Price BOS 0.293 0.352 0.059 0.269 4.2% 74.3%
Doug Fister HOU 0.315 0.275 -0.04 0.247 4.4% 93.2%
Edinson Volquez KAN 0.292 0.302 0.01 0.14 5.2% 88.3%
Ervin Santana MIN 0.322 0.300 -0.022 0.243 11.4% 86.6%
Francisco Liriano PIT 0.295 0.293 -0.002 0.16 2.6% 87.9%
Jason Hammel CHC 0.249 0.280 0.031 0.202 7.3% 90.9%
Jeff Samardzija SFO 0.305 0.274 -0.031 0.208 12.5% 86.5%
Jeremy Hellickson PHI 0.281 0.299 0.018 0.223 7.8% 81.3%
Jhoulys Chacin ANA 0.286 0.302 0.016 0.239 13.8% 88.9%
Jimmy Nelson MIL 0.305 0.239 -0.066 0.185 15.1% 91.5%
Jorge de la Rosa COL 0.315 0.411 0.096 0.206 4.8% 85.9%
Josh Tomlin CLE 0.278 0.242 -0.036 0.194 10.9% 92.3%
Julio Teheran ATL 0.301 0.253 -0.048 0.157 7.8% 87.3%
Justin Verlander DET 0.310 0.288 -0.022 0.17 13.9% 82.4%
Kendall Graveman OAK 0.303 0.300 -0.003 0.181 5.0% 88.5%
Martin Perez TEX 0.286 0.256 -0.03 0.163 0.0% 89.5%
Matt Harvey NYM 0.312 0.385 0.073 0.292 10.4% 85.3%
Michael Wacha STL 0.287 0.338 0.051 0.245 0.0% 86.6%
Mike Bolsinger LOS 0.268 0.375 0.107 0.25 60.0% 83.3%
Nate Karns SEA 0.269 0.300 0.031 0.268 7.0% 86.2%
Nathan Eovaldi NYY 0.303 0.301 -0.002 0.161 7.1% 88.9%
R.A. Dickey TOR 0.279 0.293 0.014 0.211 8.6% 80.5%
Shelby Miller ARI 0.307 0.305 -0.002 0.227 8.0% 86.9%
Stephen Strasburg WAS 0.284 0.313 0.029 0.196 8.2% 83.4%

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.

David Price costs $100 more than Stephen Strasburg on FanDuel, but $4.5K less on DraftKings. Chris Tillman has Price by $1.8K on DraftKings where he costs $10.7K. These large discrepancies account for a different top valued pitcher on each site tonight. DraftKings aggressive pricing in many spots again makes it very difficult tonight.

Value Tier One

David Price (2) – Does DraftKings ($8.9K) realize he is pitching in Boston and not Colorado tonight? With their recent trend of aggressive pricing on above average pitchers or just those in good spots, I don’t understand his cost at all. At $1.8K higher on FanDuel, Strasburg potentially moves ahead.
Stephen Strasburg (1) might see a ball or two leave the yard tonight, but projects for potentially the top strikeout total tonight. He’s probably the top choice on FanDuel where he and Price are priced similarly, but falls behind for a much higher cost on DraftKings.

Value Tier Two

Matt Harvey is a very high risk play, but is in a good spot at a $7.5K cost that can’t be completely ignored. He’ll likely be very low owned and who can blame players for abandoning him by now? While it’s less likely that he hits his upside with every poor start, it is in the mechanics and still within him. The estimators are much better than the ERA and expect something better than his cost. Understand this is completely hit or miss. There will likely be no in between here.

Mike Bolsinger is a nearly punt cost arm with league average upside that increases even more against the Reds offense. This is the first place I’m looking for a low cost arm to pair with a high priced pitcher and might even consider some low exposure on one pitcher sites if there are a lot of high priced bats that appear worth the cost.

Value Tier Three

Jeff Samardzija (3t) is not a pitcher I’m often (or ever) inclined to pay more than $10K for, but he’s been that good over his last four starts, is in a great park, and may have tonight’s top matchup.

Jhoulys Chacin is cheap and facing a struggling offense that may be without a top of the order LH bat. His results have been poor in May, but the underlying numbers aren’t much worse than average due to a low strand rate. This is probably not a choice for single pitcher sites, but for where you need a complimentary option to a high cost pitcher in GPPs, who might be able to hold down the fort for five or six innings.

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

Chris Sale (3t) now costs nearly Kershaw dollars, but isn’t performing nearly as well as Kershaw. You’re partially paying for BABIP and need the elite strikeout rate for his cost on DraftKings tonight unless he finishes yet another game.

Justin Verlander costs $11K on DraftKings, which is difficult to justify unless you wipe out the last three years and just consider his last three starts. He’s $2.5K less on FanDuel in a strong spot.

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.