Advanced Stats - Pitching: Saturday, April 22nd

Saturday’s are supposed to be easy. It’s the weekend! But we are doing some work today because this is some collection. Some liberties have been taken for teams who haven’t named starters (there are three as of Friday night). Let’s hope they’re correct, but only one of them (deGrom) appears to be of use and he’s a day-gamer. Two more are making not their major league debuts, but the initial major league starts of their career and I’ll have to admit to never having heard of either one of them before. As has been the pattern this year, all pitchers are listed with notes on the night slate.

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+
Adalberto Mejia MIN -5.8 6.39 3.1 37.5% 1.04 5.01 6.21 DET 97 110 85
Antonio Senzatela COL -3.1 3.72 6.33 45.5% 1.39 3.27 3.77 SFO 91 85 47
Ariel Miranda SEA -4.3 4.55 5.55 34.4% 0.93 6.12 3.44 OAK 130 94 145
Blake Snell TAM -1.4 4.66 4.78 37.5% 0.96 4.63 4.9 HOU 132 98 126
Carlos Carrasco CLE 5.4 3.1 6.13 49.4% 0.98 3.05 3.74 CHW 86 63 39
Casey Lawrence TOR 2.2 9.53 66.7% 0.91 9.2 9.53 ANA 140 98 62
Charlie Morton HOU 4.2 3.88 5.4 56.8% 0.96 3.44 3.86 TAM 137 114 122
Chase Anderson MIL -7.2 4.46 5.33 39.0% 1.02 4.7 3.24 STL 92 86 89
Cody Reed CIN 0.4 4.15 4.72 53.8% 1.02 3.95 0.37 CHC 107 129 119
Dan Straily FLA 2.8 4.71 5.73 33.4% 0.91 4.93 4.83 SDG 94 90 77
Gio Gonzalez WAS 1.1 3.86 5.64 49.9% 0.91 4.16 4.64 NYM 76 133 65
Ian Kennedy KAN 4.9 3.95 5.85 35.5% 1.11 4.6 3.32 TEX 92 98 45
Jacob deGrom NYM 1.3 3.23 6.26 45.8% 0.91 3.23 2.4 WAS 112 108 99
Jaime Garcia ATL -0.9 3.82 5.89 57.1% 0.96 4.33 4.84 PHI 116 91 87
Jake Arrieta CHC 9.1 3.31 6.63 54.1% 1.02 3.84 2.7 CIN 80 92 82
Jameson Taillon PIT -2.8 3.61 5.9 52.9% 0.97 3.44 3.73 NYY 108 132 129
Jayson Aquino BAL -3.2 2.32 0.0% 1.02 5.14 BOS 82 85 95
Jerad Eickhoff PHI 1.9 3.94 6.09 40.0% 0.96 4.15 4.27 ATL 89 92 87
Jered Weaver SDG -5.9 5.13 5.92 31.9% 0.91 5.27 3.01 FLA 94 101 103
Jharel Cotton OAK -8.3 4.32 5.75 35.8% 0.93 4.66 5.2 SEA 61 107 123
Kenta Maeda LOS 2.3 3.69 5.41 42.9% 1.13 3.54 3.34 ARI 137 110 87
Lance Lynn STL -5.3 4.1 5.66 44.7% 1.02 6.24 4.61 MIL 94 98 121
Matt Boyd DET -5.1 4.57 4.92 36.1% 1.04 4.59 4.24 MIN 98 93 90
Matt Moore SFO 4.8 4.45 5.84 39.1% 1.39 4.89 4.1 COL 66 86 83
Michael Pineda NYY 0.8 3.22 5.7 0.467 0.97 3.1 2.07 PIT 99 88 97
Mike Pelfrey CHW 3.3 4.86 5.34 0.511 0.98 4.79 CLE 109 126 149
Nick Martinez TEX 1.9 5.09 5.43 0.456 1.11 5.71 KAN 69 81 62
Robbie Ray ARI -6.1 3.77 5.52 0.445 1.13 3.54 3.79 LOS 85 82 100
Steven Wright BOS 4.1 4.53 6.19 0.43 1.02 4.19 4.64 BAL 79 111 88
Tyler Skaggs ANA 6.5 4.2 5.15 0.393 0.91 4 3.24 TOR 73 103 92


Carlos Carrasco has, by far, the top matchup on the board (White Sox 19.3 K-BB%, 24.9 Hard% vs RHP). Let’s get that out of the way right now. There’d been some injury concern for him to start the season, but he’s come out of the gate strong. He did walk five last time out, but that appears to be an isolated incident (we hope). However, his velocity was down a bit in each of his last two starts, in which he manufactured just 8.4% and 7.8% swinging strike rates. Essentially, a .188 BABIP in each of those starts saved his can. He’s allowed a HR in each start, while his strong GB rate is gone (41.3% would be the lowest of his career by a touchdown). Though he is generating weaker contact that normal (2.2 Hard-Soft%), more contact in the air has resulted in the highest barrel rate per BBE (11.6%), not only on the slate, but the entire board all day.

Chase Anderson has looked good this season though his ERA sits well below his estimators (.250 BABIP, 84.3 LOB%, 5.3 HR/FB). That said, he’s had at least a 9.1 SwStr% in all three starts with every pitch except his signature change-up grading out positively via Pitchf/x this year. I’m not sure I’m seeing much of a difference long term, but the Cardinals are struggling, with the pitcher doing most of their offensive damage last night.

Ian Kennedy has the third best strikeout rate on the night slate. While his BABIP is deflated, his batted ball profile is pretty strong. Somehow, he’s allowed just a single HR so far, despite a 42.6 Hard%, though Statcast doesn’t view his generated contact as poorly. He’s allowed at least 25 HRs in five of seven full seasons, so we know they’re coming, but his strikeout rate has been above average every year too. There’s upside in this arm. After walking five in his first start, he’s settled down to a total of four over his last two. Texas may seem like a dangerous place for a pitcher of his skill set to pitch, but despite a 21.1 HF/FB at home so far, the Rangers are just an average offense and quite cold at the moment.

Robbie Ray looked like he was in trouble in his last start in Dodger Stadium before going on a strikeout spree and finishing with 10 through 25 batters. He’s walked at least three in every start and continues to display hard contact issues (47.5%), which are only exacerbated in Arizona. Fortunately, he’s kept that contact from being at optimal launch angles, explaining his low rate of barrels met so far. Despite this rematch taking place in an extremely high run scoring environment, we can’t ignore his upside on this slate.

Tyler Skaggs has only produced one quality start, but has generated a double digit SwStr% in all three despite a significant dip in velocity. In my experience, you don’t look at velocity first, but only in a supporting role if there are other underlying issues, which there don’t appear to be here. His 25.0 K% does not appear artificial and he’s actually induced more weak contact than hard (-4.1 Hard-Soft%), though a 28.6 GB% has led to three HRs already. The Blue Jays are still probably an above average offense talent-wise, even without Encarnacion and Donaldson at this point, though it’s probably not an offense to fear in a pitcher’s park. They’ve struck out 26.6% of the time vs LHP so far.

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)

Jerad Eickhoff (.250 – 84.3% – 10.3) is an average arm in a decent spot because though Philadelphia is a ban box, it doesn’t play as a high run scoring environment overall. I’m just not sure he gives you much of anything beyond an $8K price tag. He’s most likely okay here, but has not struck out more than eight in a game in over a year.

Dan Straily (.194 – 67.9 – 11.8) was pulled from a no-hit bid in the sixth last time out because he had walked five batters. A 15.5 BB% is how you strand less than 70% of your runners with a BABIP below .200. His SwStr% does suggest a few more Ks, but his career strikeout rate is just 19.8% with that same 10.6 SwStr%. He does get the Padres in Petco, but a cost just below $8K is nothing special here.

Lance Lynn (.200 – 77.4% – 15.0) is missing fewer bats and having his normal issues with LHBs since returning from TJ surgery. The Brewers lean more right-handed and do strike out a ton (26.8%), so I’m sure there’ll be some supporters tonight, but his estimators foresee a great deal of punishment in his future.

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

Kenta Maeda has a 14.0 SwStr% and estimators that are about half his 7.07 ERA. He’s allowed three HRs and has a 54% strand rate despite just a 23.8 Hard% and pretty reasonable if not favorable Statcast data. This isn’t about the performance nearly so much as the leash. He’s not lasted more than five innings or 83 pitches in any of his three starts. If we consider him an $8-9K pitcher on this workload, does that mean he’s a $10-12K pitcher on a 100 pitch workload? That’s a bit questionable in Arizona.

Antonio Senzatela has looked good through three starts, but his first two were against the Brewers and Padres. Then he traveled to San Francisco and pitched seven innings, but struck out just three. While he started off throwing gas in his first two starts and then lost velocity around 60 pitches, he was down a couple mph in his last start, but steadier throughout. He was an afterthought on most Colorado prospect lists and considered a reliever. Maybe his stuff will play up in one of those multi-inning super-reliever roles becoming popular this year. This is just too tough a spot for him without enough upside. That said, he’s essentially minimum priced on DraftKings, but I don’t see where you’d need a pitcher that cheap too often today.

Jaime Garcia

Steven WrightDRA REALLY hates knuckleballs!

Nick Martinez has a career 3.7 K-BB% in just over 300 innings.

Jayson Aquino was an “also mentioned”, just outside the Top 18 Baltimore prospects write-up by Fangraphs this season. The 25 year-old appears to be more of a junk baller than hard thrower with strong walk rates throughout the minors, but few strikeouts until last season where he posted a 17.7 K-BB% at AAA. In three relief appearances (eight batters), he’s failed to generate a ground ball in the majors yet. A low strikeout Boston offense has already seen him in two of his three short outings.

Matt Moore

Jered Weaver

Casey Lawrence is a little old (29) to be making his first major league start. He’s been in the Toronto system since 2010, cracking a 16% strikeout rate only once at High A or above since 2011 before this season, when he struck out seven of 19 batters prior to his call-up. In his two relief outings, he’s walked five of the 14 batters he’s faced.

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%
Adalberto Mejia Twins L2 Years 9.3% 14.0% Home 20.0% 15.0% L14 Days 13.3% 16.7%
Antonio Senzatela Rockies L2 Years 18.9% 5.4% Home 18.5% 3.7% L14 Days 14.8% 1.9%
Ariel Miranda Mariners L2 Years 19.0% 7.5% Road 12.4% 10.6% L14 Days 20.0% 4.0%
Blake Snell Rays L2 Years 23.0% 12.9% Home 24.6% 14.5% L14 Days 13.6% 11.4%
Carlos Carrasco Indians L2 Years 27.2% 6.0% Road 28.3% 4.5% L14 Days 23.5% 9.8%
Casey Lawrence Blue Jays L2 Years 14.3% 35.7% Road 14.3% 35.7% L14 Days 14.3% 35.7%
Charlie Morton Astros L2 Years 18.1% 7.8% Road 25.0% 8.3% L14 Days 18.8% 8.3%
Chase Anderson Brewers L2 Years 18.0% 7.2% Home 19.6% 7.7% L14 Days 25.5% 6.4%
Cody Reed Reds L2 Years 20.0% 9.0% Home 19.1% 8.2% L14 Days 38.9% 0.0%
Dan Straily Marlins L2 Years 20.1% 9.7% Road 20.0% 8.4% L14 Days 24.4% 17.1%
Gio Gonzalez Nationals L2 Years 22.2% 8.1% Road 19.8% 7.3% L14 Days 14.0% 5.3%
Ian Kennedy Royals L2 Years 23.5% 7.8% Road 22.7% 8.9% L14 Days 26.9% 7.7%
Jacob deGrom Mets L2 Years 26.2% 5.6% Home 29.0% 7.3% L14 Days 31.4% 5.9%
Jaime Garcia Braves L2 Years 19.2% 7.1% Road 18.3% 8.0% L14 Days 15.4% 9.6%
Jake Arrieta Cubs L2 Years 25.8% 7.5% Road 20.6% 7.7% L14 Days 31.3% 6.3%
Jameson Taillon Pirates L2 Years 20.3% 4.8% Home 20.2% 4.3% L14 Days 18.5% 7.4%
Jayson Aquino Orioles L2 Years 37.5% 0.0% Home 33.3% 0.0% L14 Days
Jerad Eickhoff Phillies L2 Years 21.4% 5.6% Home 22.3% 5.7% L14 Days 22.2% 9.3%
Jered Weaver Padres L2 Years 13.5% 5.8% Home 15.3% 5.5% L14 Days 17.8% 0.0%
Jharel Cotton Athletics L2 Years 19.6% 7.1% Home 18.8% 7.1% L14 Days 18.0% 14.0%
Kenta Maeda Dodgers L2 Years 24.9% 7.0% Road 24.2% 6.2% L14 Days 25.6% 5.1%
Lance Lynn Cardinals L2 Years 21.4% 9.2% Road 16.0% 16.0% L14 Days 17.3% 9.6%
Matt Boyd Tigers L2 Years 18.7% 7.9% Road 20.1% 6.4% L14 Days 20.0% 8.9%
Matt Moore Giants L2 Years 19.7% 8.3% Road 19.2% 10.3% L14 Days 17.2% 5.2%
Michael Pineda Yankees L2 Years 25.8% 5.1% Road 27.4% 6.7% L14 Days 32.7% 1.9%
Mike Pelfrey White Sox L2 Years 11.4% 7.1% Home 11.3% 4.5% L14 Days
Nick Martinez Rangers L2 Years 12.7% 8.8% Home 7.6% 9.1% L14 Days
Robbie Ray Diamondbacks L2 Years 25.8% 9.5% Home 26.1% 8.4% L14 Days 33.3% 16.7%
Steven Wright Red Sox L2 Years 18.5% 8.4% Road 20.7% 9.0% L14 Days 13.4% 6.0%
Tyler Skaggs Angels L2 Years 23.4% 10.2% Home 26.3% 12.1% L14 Days 26.9% 7.7%

K/BB Chart – Opponent

Opponent Split K% BB% Split K% BB% Split K% BB%
Tigers Road 23.7% 9.9% LH 19.9% 6.4% L7Days 26.1% 8.3%
Giants Road 20.9% 8.0% RH 17.8% 7.5% L7Days 18.9% 5.0%
Athletics Home 24.1% 9.5% LH 22.7% 7.9% L7Days 23.5% 10.3%
Astros Road 18.0% 10.8% LH 17.7% 10.0% L7Days 22.1% 8.5%
White Sox Home 22.2% 9.3% RH 25.1% 5.8% L7Days 23.8% 4.0%
Angels Home 19.1% 8.3% RH 22.1% 7.7% L7Days 25.7% 7.8%
Rays Home 23.3% 10.4% RH 26.2% 7.8% L7Days 27.9% 8.4%
Cardinals Road 21.7% 5.9% RH 21.7% 8.7% L7Days 20.2% 5.4%
Cubs Road 22.1% 9.4% LH 19.7% 12.0% L7Days 24.0% 8.3%
Padres Home 19.9% 8.3% RH 22.4% 7.6% L7Days 24.3% 6.4%
Mets Home 20.3% 9.6% LH 17.6% 9.1% L7Days 19.1% 10.7%
Rangers Home 25.3% 8.8% RH 20.9% 8.1% L7Days 21.5% 9.8%
Nationals Road 20.0% 11.1% RH 18.8% 9.2% L7Days 13.1% 9.3%
Phillies Home 20.0% 8.7% LH 22.4% 9.6% L7Days 22.3% 5.2%
Reds Home 20.9% 7.7% RH 18.0% 8.2% L7Days 21.4% 10.9%
Yankees Road 19.0% 10.4% RH 20.7% 10.2% L7Days 23.1% 10.9%
Red Sox Road 18.0% 8.3% LH 18.0% 12.0% L7Days 17.1% 7.4%
Braves Road 21.3% 5.7% RH 21.6% 7.4% L7Days 21.3% 6.8%
Marlins Road 21.2% 6.0% RH 22.6% 6.0% L7Days 23.1% 4.2%
Mariners Road 23.2% 8.7% RH 21.7% 9.0% L7Days 19.0% 11.6%
Diamondbacks Home 23.2% 9.2% RH 25.6% 9.9% L7Days 26.7% 10.3%
Brewers Home 33.2% 8.2% RH 26.8% 8.5% L7Days 28.7% 9.1%
Twins Home 21.4% 13.6% LH 22.3% 12.2% L7Days 23.1% 10.9%
Rockies Home 22.7% 7.4% LH 26.5% 4.6% L7Days 24.9% 5.9%
Pirates Home 18.6% 9.8% RH 16.2% 7.4% L7Days 16.9% 7.3%
Indians Road 18.1% 9.3% RH 21.1% 8.7% L7Days 18.7% 8.7%
Royals Road 22.6% 7.9% RH 22.4% 7.5% L7Days 22.9% 7.6%
Dodgers Road 23.6% 9.5% LH 21.5% 10.1% L7Days 23.1% 8.4%
Orioles Home 20.0% 6.7% RH 21.6% 6.6% L7Days 24.4% 5.9%
Blue Jays Road 22.2% 9.9% LH 26.6% 9.7% L7Days 25.9% 7.0%

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%
Adalberto Mejia Twins L2 Years 28.1% 0.0% 6.2% 2017 20.0% 0.0% -10.0% Home 15.4% 0.0% -7.7% L14 Days 20.0% 0.0% -10.0%
Antonio Senzatela Rockies L2 Years 29.1% 6.3% 14.5% 2017 29.1% 6.3% 14.5% Home 28.6% 16.7% 14.3% L14 Days 26.7% 7.7% 8.9%
Ariel Miranda Mariners L2 Years 35.0% 14.2% 15.3% 2017 28.3% 15.8% 1.9% Road 31.4% 12.2% 9.3% L14 Days 29.0% 9.1% 0.0%
Blake Snell Rays L2 Years 31.0% 5.6% 9.2% 2017 29.4% 5.6% 9.8% Home 30.8% 4.9% 4.5% L14 Days 30.3% 0.0% 6.1%
Carlos Carrasco Indians L2 Years 31.3% 15.2% 14.2% 2017 25.5% 20.0% 4.2% Road 32.4% 12.7% 13.6% L14 Days 23.5% 18.2% 5.8%
Casey Lawrence Blue Jays L2 Years 14.3% 0.0% 0.0% 2017 14.3% 0.0% 0.0% Road 14.3% 0.0% 0.0% L14 Days 14.3% 0.0% 0.0%
Charlie Morton Astros L2 Years 30.5% 13.8% 10.1% 2017 33.3% 6.7% 17.6% Road 25.8% 12.5% 16.1% L14 Days 37.5% 0.0% 25.0%
Chase Anderson Brewers L2 Years 31.6% 12.8% 16.1% 2017 30.6% 5.3% 16.3% Home 36.8% 12.7% 17.8% L14 Days 21.9% 0.0% 12.5%
Cody Reed Reds L2 Years 37.5% 26.7% 20.4% 2017 7.7% 0.0% -23.1% Home 38.0% 25.0% 17.7% L14 Days 9.1% 0.0% -27.3%
Dan Straily Marlins L2 Years 32.0% 11.9% 16.3% 2017 34.2% 11.8% 10.5% Road 31.2% 14.8% 14.4% L14 Days 34.8% 10.0% 8.7%
Gio Gonzalez Nationals L2 Years 30.8% 9.3% 11.8% 2017 27.9% 9.1% 3.3% Road 32.7% 11.0% 12.8% L14 Days 24.4% 10.0% 0.0%
Ian Kennedy Royals L2 Years 36.3% 14.1% 19.5% 2017 42.6% 4.2% 23.4% Road 33.6% 14.5% 13.2% L14 Days 44.1% 5.9% 20.6%
Jacob deGrom Mets L2 Years 28.3% 11.0% 8.4% 2017 19.6% 15.4% -10.8% Home 26.6% 10.8% 4.6% L14 Days 25.0% 20.0% -6.3%
Jaime Garcia Braves L2 Years 29.8% 15.3% 9.9% 2017 35.5% 18.2% 11.3% Road 30.7% 15.7% 8.8% L14 Days 33.3% 25.0% 5.1%
Jake Arrieta Cubs L2 Years 24.0% 10.4% 1.3% 2017 28.3% 15.0% 2.2% Road 28.3% 12.8% 5.1% L14 Days 30.0% 20.0% 10.0%
Jameson Taillon Pirates L2 Years 32.5% 14.7% 14.9% 2017 28.6% 9.1% 9.0% Home 33.3% 12.7% 16.2% L14 Days 12.8% 11.1% -5.2%
Jayson Aquino Orioles L2 Years 40.0% 0.0% 0.0% 2017 Home 0.0% 0.0% -50.0% L14 Days
Jerad Eickhoff Phillies L2 Years 31.5% 12.1% 11.9% 2017 27.3% 10.3% 14.6% Home 28.1% 14.0% 7.2% L14 Days 21.6% 9.1% 8.1%
Jered Weaver Padres L2 Years 32.3% 11.8% 12.3% 2017 34.6% 29.4% 14.6% Home 33.7% 12.7% 14.2% L14 Days 32.4% 30.0% 13.5%
Jharel Cotton Athletics L2 Years 27.4% 6.8% 4.4% 2017 26.0% 0.0% 2.0% Home 28.9% 7.7% 3.6% L14 Days 26.5% 0.0% 0.0%
Kenta Maeda Dodgers L2 Years 28.6% 12.2% 9.0% 2017 23.8% 15.8% 9.5% Road 29.8% 13.6% 8.8% L14 Days 29.6% 15.4% 22.2%
Lance Lynn Cardinals L2 Years 28.0% 9.0% 9.9% 2017 28.3% 15.0% 17.0% Road 35.3% 37.5% 29.4% L14 Days 30.6% 20.0% 16.7%
Matt Boyd Tigers L2 Years 32.4% 14.3% 14.4% 2017 41.9% 5.9% 21.0% Road 30.4% 12.3% 11.6% L14 Days 37.5% 0.0% 15.6%
Matt Moore Giants L2 Years 31.8% 10.4% 15.1% 2017 40.9% 7.7% 28.8% Road 29.8% 10.6% 15.8% L14 Days 50.0% 10.5% 38.6%
Michael Pineda Yankees L2 Years 31.2% 16.2% 13.6% 2017 28.3% 18.8% 15.3% Road 30.5% 10.5% 12.2% L14 Days 26.5% 15.4% 11.8%
Mike Pelfrey White Sox L2 Years 28.5% 9.6% 8.9% 2017 Home 34.6% 19.7% 15.0% L14 Days
Nick Martinez Rangers L2 Years 31.0% 14.1% 16.7% 2017 Home 40.7% 35.3% 22.2% L14 Days
Robbie Ray Diamondbacks L2 Years 36.4% 12.0% 20.8% 2017 47.5% 15.4% 32.5% Home 38.8% 15.2% 23.1% L14 Days 48.2% 12.5% 29.7%
Steven Wright Red Sox L2 Years 31.2% 10.1% 8.7% 2017 46.2% 27.8% 32.7% Road 31.5% 5.1% 8.2% L14 Days 46.2% 27.8% 32.7%
Tyler Skaggs Angels L2 Years 30.6% 11.6% 7.8% 2017 22.5% 14.3% -4.0% Home 30.5% 11.1% 5.1% L14 Days 21.2% 16.7% -9.1%

Batted Ball Charts – Opponent

Opponent Split Hard% HR/FB% Hd-St% Split Hard% HR/FB% Hd-St% Split Hard% HR/FB% Hd-St%
Tigers Road 33.8% 13.6% 14.2% LH 37.3% 16.0% 20.6% L7Days 34.5% 10.6% 12.7%
Giants Road 32.6% 11.6% 14.8% RH 27.7% 5.3% 9.3% L7Days 27.7% 2.6% 3.6%
Athletics Home 29.5% 17.5% 11.3% LH 30.7% 6.3% 8.6% L7Days 31.4% 17.3% 15.0%
Astros Road 32.2% 8.0% 13.2% LH 25.0% 11.8% 5.1% L7Days 40.0% 16.3% 25.5%
White Sox Home 31.9% 8.8% 11.8% RH 24.9% 10.9% 7.5% L7Days 22.2% 8.3% 4.1%
Angels Home 28.8% 16.7% 10.3% RH 28.5% 13.0% 8.1% L7Days 30.1% 7.7% 6.4%
Rays Home 34.6% 15.6% 13.9% RH 34.5% 17.6% 15.8% L7Days 39.8% 14.1% 21.7%
Cardinals Road 34.0% 13.9% 21.0% RH 28.0% 13.6% 10.5% L7Days 36.2% 15.8% 23.2%
Cubs Road 27.9% 9.4% 6.6% LH 26.9% 13.2% -5.4% L7Days 26.7% 15.5% 9.9%
Padres Home 25.2% 14.0% 1.8% RH 28.4% 16.5% 6.2% L7Days 28.4% 18.0% 4.3%
Mets Home 26.7% 9.8% 6.8% LH 35.0% 16.9% 16.7% L7Days 26.6% 8.1% 2.5%
Rangers Home 34.9% 21.1% 17.2% RH 32.3% 15.7% 13.7% L7Days 27.4% 9.1% 5.7%
Nationals Road 28.1% 13.3% 11.9% RH 28.9% 12.6% 11.7% L7Days 27.9% 11.8% 9.9%
Phillies Home 24.9% 12.3% 1.6% LH 28.2% 10.3% 3.5% L7Days 29.9% 8.7% 3.1%
Reds Home 29.3% 12.0% 8.8% RH 26.4% 9.1% 3.7% L7Days 30.7% 11.3% 7.2%
Yankees Road 26.5% 8.3% 5.1% RH 30.6% 14.6% 9.0% L7Days 30.1% 14.5% 10.2%
Red Sox Road 37.2% 2.5% 18.8% LH 38.7% 4.0% 21.5% L7Days 30.9% 4.9% 10.8%
Braves Road 27.5% 12.1% 8.9% RH 29.8% 11.6% 12.2% L7Days 26.4% 15.7% 5.0%
Marlins Road 30.0% 13.8% 10.6% RH 33.2% 16.3% 14.5% L7Days 32.7% 26.7% 12.4%
Mariners Road 22.7% 7.6% 0.9% RH 27.8% 9.8% 7.4% L7Days 30.9% 10.6% 11.5%
Diamondbacks Home 40.8% 13.2% 29.9% RH 35.0% 11.6% 20.2% L7Days 29.1% 10.9% 11.7%
Brewers Home 41.3% 23.0% 20.7% RH 33.6% 22.3% 13.8% L7Days 36.6% 28.3% 14.6%
Twins Home 31.1% 5.2% 11.7% LH 32.0% 6.4% 13.1% L7Days 32.0% 5.4% 11.3%
Rockies Home 27.4% 18.2% 7.2% LH 35.3% 18.5% 16.0% L7Days 32.5% 18.9% 7.1%
Pirates Home 28.1% 9.8% 4.3% RH 27.4% 7.6% 4.8% L7Days 23.5% 14.3% 0.0%
Indians Road 39.9% 9.5% 22.9% RH 37.5% 12.8% 21.4% L7Days 35.7% 12.3% 13.5%
Royals Road 29.3% 15.6% 4.3% RH 28.4% 13.0% 4.9% L7Days 28.1% 5.5% 7.2%
Dodgers Road 30.6% 8.6% 10.4% LH 32.1% 8.1% 16.6% L7Days 34.2% 11.5% 20.1%
Orioles Home 27.0% 10.5% 7.9% RH 31.8% 16.3% 11.5% L7Days 36.6% 13.2% 13.1%
Blue Jays Road 31.5% 7.5% 9.7% LH 28.9% 14.3% 11.4% L7Days 31.1% 12.7% 7.5%

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%
Adalberto Mejia MIN 13.3% 6.8% 1.96 13.3% 6.8% 1.96
Antonio Senzatela COL 18.9% 6.8% 2.78 18.9% 6.8% 2.78
Ariel Miranda SEA 19.2% 8.0% 2.40 19.2% 8.0% 2.40
Blake Snell TAM 15.3% 8.9% 1.72 15.3% 8.9% 1.72
Carlos Carrasco CLE 26.0% 10.2% 2.55 26.0% 10.2% 2.55
Casey Lawrence TOR 14.3% 9.1% 1.57 14.3% 9.1% 1.57
Charlie Morton HOU 17.8% 9.2% 1.93 17.8% 9.2% 1.93
Chase Anderson MIL 22.9% 10.2% 2.25 22.9% 10.2% 2.25
Cody Reed CIN 32.0% 17.1% 1.87 32.0% 17.1% 1.87
Dan Straily FLA 17.2% 10.5% 1.64 17.2% 10.5% 1.64
Gio Gonzalez WAS 18.3% 9.1% 2.01 18.3% 9.1% 2.01
Ian Kennedy KAN 25.3% 11.8% 2.14 25.3% 11.8% 2.14
Jacob deGrom NYM 30.6% 14.9% 2.05 30.6% 14.9% 2.05
Jaime Garcia ATL 10.4% 8.9% 1.17 10.4% 8.9% 1.17
Jake Arrieta CHC 28.8% 8.7% 3.31 28.8% 8.7% 3.31
Jameson Taillon PIT 20.0% 8.8% 2.27 20.0% 8.8% 2.27
Jayson Aquino BAL
Jerad Eickhoff PHI 22.8% 9.7% 2.35 22.8% 9.7% 2.35
Jered Weaver SDG 14.5% 9.6% 1.51 14.5% 9.6% 1.51
Jharel Cotton OAK 18.1% 10.2% 1.77 18.1% 10.2% 1.77
Kenta Maeda LOS 23.3% 14.0% 1.66 23.3% 14.0% 1.66
Lance Lynn STL 17.6% 8.2% 2.15 17.6% 8.2% 2.15
Matt Boyd DET 17.7% 8.7% 2.03 17.7% 8.7% 2.03
Matt Moore SFO 15.3% 7.7% 1.99 15.3% 7.7% 1.99
Michael Pineda NYY 32.9% 13.5% 2.44 32.9% 13.5% 2.44
Mike Pelfrey CHW
Nick Martinez TEX
Robbie Ray ARI 31.6% 12.9% 2.45 31.6% 12.9% 2.45
Steven Wright BOS 13.4% 6.2% 2.16 13.4% 6.2% 2.16
Tyler Skaggs ANA 25.0% 12.6% 1.98 25.0% 12.6% 1.98


We’re considering three of the four pitchers exceeding a 10.5 SwStr% tonight and only omitting the one due to a significant workload issue and one of the worst run scoring environments tonight.

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
Adalberto Mejia MIN 4.05 6.18 2.13 6.55 2.5 4.41 0.36 4.12 0.07 4.05 6.21 2.16 6.55 2.5 4.41 0.36
Antonio Senzatela COL 2.37 3.72 1.35 3.56 1.19 2.91 0.54 5.99 3.62 2.37 3.72 1.35 3.56 1.19 2.91 0.54
Ariel Miranda SEA 3.06 3.97 0.91 4.05 0.99 4.56 1.5 6.69 3.63 3.06 3.98 0.92 4.05 0.99 4.56 1.5
Blake Snell TAM 2.76 5.42 2.66 5.14 2.38 4.2 1.44 3.09 0.33 2.76 5.43 2.67 5.14 2.38 4.2 1.44
Carlos Carrasco CLE 2.33 3.35 1.02 3.26 0.93 4.05 1.72 0.95 -1.38 2.33 3.36 1.03 3.26 0.93 4.05 1.72
Casey Lawrence TOR 13.5 9.53 -3.97 9.2 -4.3 8.41 -5.09 1.23 -12.27 13.5 9.53 -3.97 9.2 -4.3 8.41 -5.09
Charlie Morton HOU 2.81 4.18 1.37 4.27 1.46 3.6 0.79 3.12 0.31 2.81 4.18 1.37 4.27 1.46 3.6 0.79
Chase Anderson MIL 1.5 3.65 2.15 3.64 2.14 2.69 1.19 5.85 4.35 1.5 3.65 2.15 3.64 2.14 2.69 1.19
Cody Reed CIN 0 2.98 2.98 2.81 2.81 2.41 2.41 1.96 1.96 0 2.98 2.98 2.81 2.81 2.41 2.41
Dan Straily FLA 4.61 5.49 0.88 5.61 1 5.55 0.94 5.65 1.04 4.61 5.5 0.89 5.61 1 5.55 0.94
Gio Gonzalez WAS 1.33 3.91 2.58 4.03 2.7 3.6 2.27 5.31 3.98 1.33 3.91 2.58 4.03 2.7 3.6 2.27
Ian Kennedy KAN 2.37 4.03 1.66 4.33 1.96 3.02 0.65 4.08 1.71 2.37 4.03 1.66 4.33 1.96 3.02 0.65
Jacob deGrom NYM 1.89 2.32 0.43 2.31 0.42 2.6 0.71 0.93 -0.96 1.89 2.32 0.43 2.31 0.42 2.6 0.71
Jaime Garcia ATL 4.67 5.47 0.8 5.21 0.54 6.2 1.53 8.42 3.75 4.67 5.47 0.8 5.21 0.54 6.2 1.53
Jake Arrieta CHC 2.89 2.94 0.05 3.32 0.43 3.72 0.83 2.03 -0.86 2.89 2.95 0.06 3.32 0.43 3.72 0.83
Jameson Taillon PIT 0.9 3.65 2.75 3.38 2.48 3.16 2.26 1.73 0.83 0.9 3.65 2.75 3.38 2.48 3.16 2.26
Jayson Aquino BAL
Jerad Eickhoff PHI 2.75 3.82 1.07 4.33 1.58 3.98 1.23 6.36 3.61 2.75 3.83 1.08 4.33 1.58 3.98 1.23
Jered Weaver SDG 4.24 4.11 -0.13 4.02 -0.22 6.27 2.03 9.84 5.60 4.24 4.11 -0.13 4.02 -0.22 6.27 2.03
Jharel Cotton OAK 5.4 4.93 -0.47 4.68 -0.72 2.97 -2.43 5.34 -0.06 5.4 4.94 -0.46 4.68 -0.72 2.97 -2.43
Kenta Maeda LOS 7.07 3.69 -3.38 3.91 -3.16 4.56 -2.51 3.18 -3.89 7.07 3.69 -3.38 3.91 -3.16 4.56 -2.51
Lance Lynn STL 3.12 4.34 1.22 4.62 1.5 5.05 1.93 8.29 5.17 3.12 4.35 1.23 4.62 1.5 5.05 1.93
Matt Boyd DET 3.77 5 1.23 4.93 1.16 3.96 0.19 6.86 3.09 3.77 5.01 1.24 4.93 1.16 3.96 0.19
Matt Moore SFO 4.26 4.34 0.08 4.65 0.39 3.86 -0.4 12.01 7.75 4.26 4.34 0.08 4.65 0.39 3.86 -0.4
Michael Pineda NYY 3.44 1.94 -1.5 1.95 -1.49 2.7 -0.74 0.76 -2.68 3.44 1.94 -1.5 1.95 -1.49 2.7 -0.74
Mike Pelfrey CHW
Nick Martinez TEX
Robbie Ray ARI 1.96 3.82 1.86 3.38 1.42 3.68 1.72 1.22 -0.74 1.96 3.83 1.87 3.38 1.42 3.68 1.72
Steven Wright BOS 8.36 4.64 -3.72 4.94 -3.42 7.56 -0.8 17.98 9.62 8.36 4.64 -3.72 4.94 -3.42 7.56 -0.8
Tyler Skaggs ANA 5.19 3.73 -1.46 4.02 -1.17 4.36 -0.83 2.79 -2.40 5.19 3.73 -1.46 4.02 -1.17 4.36 -0.83


There are five night slate pitchers with a DRA exceeding eight. Of those, Jered Weaver actually has the best remaining non-FIP estimators.

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
Adalberto Mejia MIN 0.244 0.300 0.056 40.0% 0.15 11.1% 87.2% 88.3 5.00% 3.30% 20
Antonio Senzatela COL 0.286 0.241 -0.045 45.5% 0.255 6.3% 94.1% 90 10.90% 8.10% 55
Ariel Miranda SEA 0.306 0.260 -0.046 45.1% 0.176 21.1% 87.9% 89.3 7.80% 5.50% 51
Blake Snell TAM 0.281 0.220 -0.061 42.0% 0.22 22.2% 83.3% 84.9 2.00% 1.40% 49
Carlos Carrasco CLE 0.320 0.205 -0.115 41.3% 0.261 20.0% 93.4% 87.5 11.60% 6.80% 43
Casey Lawrence TOR 0.297 0.429 0.132 66.7% 0.167 0.0% 84.6%
Charlie Morton HOU 0.263 0.314 0.051 48.0% 0.22 0.0% 87.4% 87.1 6.00% 4.10% 50
Chase Anderson MIL 0.308 0.250 -0.058 40.0% 0.178 10.5% 89.0% 87.8 4.40% 2.90% 45
Cody Reed CIN 0.261 0.000 -0.261 76.9% 0.077 0.0% 76.5% 78.9 0.00% 0.00% 13
Dan Straily FLA 0.256 0.194 -0.062 41.7% 0.111 17.6% 86.1% 87.5 5.70% 3.40% 35
Gio Gonzalez WAS 0.284 0.271 -0.013 41.4% 0.207 9.1% 87.8% 87.5 3.50% 2.40% 57
Ian Kennedy KAN 0.259 0.217 -0.042 38.3% 0.106 8.3% 77.1% 90.4 6.50% 4.00% 46
Jacob deGrom NYM 0.293 0.227 -0.066 60.9% 0.109 7.7% 73.8% 84.2 2.20% 1.40% 46
Jaime Garcia ATL 0.280 0.241 -0.039 36.1% 0.279 9.1% 90.9% 87.5 8.30% 6.50% 60
Jake Arrieta CHC 0.261 0.209 -0.052 43.5% 0.13 15.0% 81.4% 84 4.40% 2.70% 45
Jameson Taillon PIT 0.294 0.273 -0.021 55.4% 0.25 9.1% 88.8% 88.1 5.50% 3.80% 55
Jayson Aquino BAL 0.305
Jerad Eickhoff PHI 0.277 0.250 -0.027 38.2% 0.091 3.4% 92.3% 90 1.80% 1.30% 55
Jered Weaver SDG 0.255 0.200 -0.055 47.3% 0.218 11.8% 88.3% 87.4 11.10% 8.70% 54
Jharel Cotton OAK 0.251 0.300 0.049 32.7% 0.306 16.7% 82.7% 86.5 0.00% 0.00% 49
Kenta Maeda LOS 0.284 0.308 0.024 30.8% 0.205 5.3% 80.5% 88.8 5.30% 3.30% 38
Lance Lynn STL 0.317 0.200 -0.117 43.4% 0.189 0.0% 85.1% 88.1 5.90% 4.10% 51
Matt Boyd DET 0.308 0.286 -0.022 40.5% 0.19 5.9% 83.7%
Matt Moore SFO 0.300 0.297 -0.003 47.0% 0.136 0.0% 88.0% 91.7 10.60% 8.20% 66
Michael Pineda NYY 0.272 0.302 0.03 48.9% 0.156 0.0% 86.1% 87.3 2.30% 1.40% 44
Mike Pelfrey CHW 0.256
Nick Martinez TEX 0.276
Robbie Ray ARI 0.290 0.211 -0.079 41.0% 0.256 15.4% 82.8% 89.7 5.30% 2.60% 38
Steven Wright BOS 0.289 0.404 0.115 38.5% 0.269 5.6% 89.9% 91.4 11.50% 9.00% 52
Tyler Skaggs ANA 0.275 0.304 0.029 28.6% 0.286 4.8% 81.3% 87.2 8.30% 5.30% 48


I’m starting to wonder if it’s more of a function of a league wide focus on an intention of generating fly balls that has all of these team BABIPs so much lower rather than improved defense or more shifting. It’s going to be something to watch, but perhaps singles are going away.

Pitcher Notes & Summary

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

Carlos Carrasco (1) – I spent the good part of a large paragraph laying out a number of reasons that would justify caution here and then place him atop the shopping list tonight. The reality is that tonight’s slate is not packed with enviable arms and he’s facing the White Sox, who are this year’s Phillies/Braves/Padres from the last few seasons. He’s already done his best work against this offense (7 IP – 1 ER – 0 BB – 7 K). He’s the only pitcher to crack $10K on either site.

Value Tier Two

Robbie Ray costs too little for his upside, at least on this slate. This section is filled with high risk, high reward arms rather than potentially safer, lower upside ones tonight and perhaps none exemplify this more so than him. The Dodgers stink against LHP with several of their new RH bats to thwart that reputation already injured.

Value Tier Three

Tyler Skaggs is down velocity-wise, but his swinging strike and hard contact rates have actually improved significantly. The Blue Jays are still a good offense, but are down an MVP candidate at the moment and in a great park for a fly ball pitcher tonight.

Ian Kennedy appears on this list in Texas while Dan Straily is over-looked in San Diego at the same cost? I’m opting for upside. The risk of a blowup is bigger here, but so is the potential for 10 strikeouts.

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.

Chase Anderson is probably too cheap on DraftKings ($5.7K), while sitting at $2K more on FanDuel. Players are likely going to have to step out of their comfort zones on this slate and he has looked better, even if it’s not immediately apparent why.

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.