Advanced Stats - Pitching: Saturday, May 13th

Just nine games on the night slate (all pitchers are listed) and although we only have a few usable arms tonight and not a single $10K pitcher on the slate, there appears to be a clear hierarchy tonight with another Coors pitcher right in the middle of it.

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+
Alex Wood LOS 0.2 3.79 5.75 51.8% 1.39 3.52 1.22 COL 79 94 92
Blake Snell TAM 3.3 4.75 4.81 37.5% 1.13 4.42 4.55 BOS 91 92 164
Carlos Martinez STL -10.9 3.65 6.2 55.6% 0.98 3.56 3.33 CHC 96 86 59
Chris Sale BOS 4.2 2.83 7.06 41.4% 1.13 3.06 2.54 TAM 90 96 104
Chris Tillman BAL -4.9 4.59 5.68 43.1% 1.06 4.73 5.25 KAN 70 75 76
Daniel Norris DET 5.1 4.19 5.04 40.6% 0.91 4.01 4.34 ANA 108 95 81
Dillon Overton SEA 6.7 5.21 4.03 29.2% 1.03 5.73 4.78 TOR 81 94 84
Dylan Covey CHW -5.3 5.73 5. 45.3% 0.98 5.68 5.41 SDG 80 85 92
Edinson Volquez MIA 3.9 4.6 5.66 48.2% 0.94 4.41 7.15 ATL 93 92 68
Jon Lester CHC 3.7 3.41 6.36 49.4% 0.98 3.64 3.98 STL 96 74 94
Jose Berrios MIN 9.5 5.36 4.15 38.0% 1.09 5.87 CLE 106 106 83
Julio Teheran ATL 4.7 4.16 6.21 38.9% 0.94 4.51 5.34 MIA 88 87 121
Lisalverto Bonilla CIN 19.9 4.05 16.7% 0.93 SFO 68 68 61
Luis Severino NYY 3.1 3.69 5.33 48.0% 1.01 3.35 3.69 HOU 117 124 110
Marcus Stroman TOR -2.4 3.63 6.42 60.0% 1.03 3.49 4.34 SEA 98 119 131
Matt Moore SFO 1.6 4.47 5.77 38.7% 0.93 4.28 5.78 CIN 104 101 98
Mike Clevinger CLE -9.2 4.82 4.2 37.8% 1.09 5.12 5.49 MIN 103 113 90
Mike Fiers HOU -2.8 4.17 5.67 41.3% 1.01 4.75 4.45 NYY 138 127 99
Nathan Karns KAN 5.6 3.94 5.48 42.2% 1.06 4.11 2.51 BAL 102 100 126
Nick Martinez TEX -0.6 5.12 5.5 43.1% 1.11 4.76 4.68 OAK 84 100 109
Nick Pivetta PHI 11.2 3.38 5. 34.3% 1.01 4.28 3.38 WAS 127 115 94
Ricky Nolasco ANA -7.6 4.18 5.89 42.3% 0.91 4.34 2.58 DET 98 106 81
Robert Gsellman NYM -3.6 3.85 5.48 56.1% 1.02 4.25 4.91 MIL 101 98 110
Sonny Gray OAK -6.5 4.05 5.96 53.9% 1.11 4.24 4.61 TEX 95 101 94
Taijuan Walker ARI -7.6 3.81 5.75 0.416 1.13 3.92 5.13 PIT 69 78 35
Tanner Roark WAS -5.8 4.23 6.04 0.48 1.01 4.09 3.74 PHI 85 96 138
Trevor Cahill SDG -8.2 3.43 5.73 0.593 0.98 3.5 3.34 CHW 94 72 73
Trevor Williams PIT -5.5 4.64 3.5 0.389 1.13 4.97 6.66 ARI 117 103 87
Tyler Anderson COL 2.4 3.91 5.78 0.482 1.39 3.54 3.68 LOS 92 87 148
Zach Davies MIL -5.1 4.19 5.66 0.465 1.02 3.9 4.48 NYM 121 94 98


Note: Seattle did not name a starter until this morning. I speculated on the name I saw most often mentioned on Twitter and I was wrong. It may not even matter because at the current pace, this may not be published until after early first pitch. It’s even more aggravating when we get the handedness of the pitcher wrong because that nullifies opponent stats as well.

Note II: The HOU/NYY game has been postponed.

Alex Wood has only exceeded five innings once, but has struck out 19 of his last 42 batters. That will play for five innings. His ground ball rate hasn’t dipped below 53% in any of his last four starts and sits at 62.2% on the season with just a 23% hard hit rate (1.6% Barrels/PA). The Rockies have actually improved against LHP this year (19.2 HR/FB), but still retain a 24.7 K% against them and have been poor at home this year.

Daniel Norris can miss bats at something of a league average rate and he’s pitching in the most negative run environment on the board against an offense with a 6.3 HR/FB vs LHP. That’s it for the good news. He has an 11.3 BB% to go along with a 43.4 Hard% and the Angels have just a 17.6 K% vs LHP.

Nathan Karns struck out 10 Rays in his last start and has gone six innings in four of his last five starts with a season high of one out above that in his most recent one. His 12.1 SwStr% is second best on the night slate. Walks and HRs have always been the issue with him and those are a bad combination for any pitcher, often rendering them unusable with all but the most elite strikeout rates. That’s why the move to Kansas City should be a favorable one for him, at least in one regard. All six of his HRs have been allowed in his four road starts. Kansas City is power suppressing, but run friendly, so this is not a great spot for him, but the park should help mitigate some of the Baltimore power because he’s still allowing Barrels on about one of every 10 batted balls.

Tanner Roark is a strong contact manager, who has actually been missing bats more consistently this year, if not at a higher rate than last year when most of his strikeouts came in just a few starts. His strikeout rate has been below 8% in just one start this season, though a few unearned runs have his ERA below his estimators. The Phillies haven’t been bad this season, but do strike out a bit.

Taijuan Walker is coming off a one strikeout performance in Coors and ideally, we’d find him in a few pitcher’s parks in that division, the Pirates at home might be good enough today. The game to game performances have been more erratic than we’d like (he’s only gone six innings twice, but went eight innings in one of those starts – he has at least six strikeouts in five starts, but a total of three in the two others), but the overall performance has been fine, considering the tough spots he’s often found himself in in that park. While the Pirates don’t normally strike out a ton, they do have a 23.0 K-BB% over the last week and were nearly no-hit in the opener of this series.

Trevor Cahill has the top SwStr% on the slate and is one of two pitchers exceeding a 30 K%, but the only one supported by his SwStr rate. Sure, he has some walk problems (11%) and has only gone more than six innings once, but has pitched into the sixth inning in every start, failing to strike out at least seven just once and even then only by one. While he’s allowing a lot of hard contact (36.9%), a 57.1 GB% has meant few actual Barrels and he’s also a top 10 generator of weak contact as well (25%). The White Sox are one of the worst offenses in baseball against RHP (17.8% K-BB%, 26.1 Hard%).

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 (.288 BABIP – 73.4 LOB% – 13.3 HR/FB)

No qualifiers today.

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

Tyler Anderson dominated Arizona at home in his last start (6 IP – 1 ER – 10 K – 75 GB% – 7.7 Hard%), but still has just a 40 GB% with a 32.5 Hard% and has struck out five or fewer in five of his seven starts. While it’s great to see that it’s still in there somewhere, we’ll need to see more, as he’s allowed Barrels on 9.6% of BBEs this year. The Dodgers are still below average vs LHP, but have been one of the hottest offenses in baseball over the last week and get a massive park boost. This was also the paragraph that was used before he was scratched with knee inflammation on Thursday, adding further concerns.

Ricky Nolasco has an 18.2 K-BB%. In over 1700 career innings, his ERA has run about 65 points above his estimators because he’s had a perennially high line drive rate and failed to strand runners. These things normally aren’t a skill, but he’s probably the one pitcher with this large a workload that’s proven an ineptness at these things over the last decade. This year, through 40 innings, he’s allowed 11 HRs already (hence the high FIP), but has stranded 89.6% of runners (the low SIERA). His 10.2 SwStr% is only a bit above his career 9.5% rate. The Tigers, now at full strength with J.D. Martinez back, are the type of team that may punish this reverse platoon righty (43.2 Hard% vs RHP).

Edinson Volquez has an impressive 24.5 K%, but still just a 7.5 K-BB%. Seventeen of the 23 batters he faced in his last start either walked or struck out. He has a 23 BB% over his last four starts.

Chris Tillman threw five shutout innings in his first start of the season, walking three of 22 White Sox, while striking out four. He faces a similarly talented offense against RHP today, which gives him one of the top matchups on the board, but that ridiculous price tag.

Nick Pivetta has struck out 11 of 48 major league batters with just one walk, but has also allowed hard contact on over half of batted balls (45.7 Hard-Soft%) with a 91.2 mph aEV and four HRs. He gets a rematch with a Washington lineup that homered three times against him in his last start.

Sonny Gray

Robert Gsellman has his ground ball rate up to 58.2% and at least 60% in four of his last five starts, but his SwStr% and velocity have fallen off a cliff, which may be the cause of a diminished spin rate. There is some speculation in the linked article about an injury, to which I say…well, he is a Mets pitcher, right?

Julio Teheran has just a 5.6 K-BB%. He is not going to like that new park and probably should have been traded when he had some value.

Zach Davies

Nick Martinez

Trevor Williams

Dylan Covey

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 21.1% 7.5% Road 25.6% 9.3% L14 Days 45.2% 4.8%
Blake Snell Rays L2 Years 22.5% 12.9% Road 20.4% 11.3% L14 Days 19.7% 9.9%
Carlos Martinez Cardinals L2 Years 23.4% 8.3% Home 21.4% 6.0% L14 Days 21.6% 5.9%
Chris Sale Red Sox L2 Years 30.2% 4.8% Home 29.6% 4.6% L14 Days 38.2% 9.1%
Chris Tillman Orioles L2 Years 18.0% 8.6% Road 17.1% 8.6% L14 Days 18.2% 13.6%
Daniel Norris Tigers L2 Years 20.8% 7.7% Road 21.8% 7.8% L14 Days 24.0% 12.0%
Dillon Overton Mariners L2 Years 12.9% 5.1% Road 12.2% 4.4% L14 Days 9.5% 2.4%
Dylan Covey White Sox L2 Years 9.2% 9.2% Home 22.2% 16.7% L14 Days 9.3% 5.6%
Edinson Volquez Marlins L2 Years 17.6% 9.3% Home 19.1% 9.5% L14 Days 39.1% 34.8%
Jon Lester Cubs L2 Years 25.0% 6.4% Road 23.5% 6.9% L14 Days 28.0% 14.0%
Jose Berrios Twins L2 Years 17.4% 12.5% Road 17.1% 13.3% L14 Days
Julio Teheran Braves L2 Years 20.8% 7.3% Road 19.6% 5.7% L14 Days 15.1% 9.4%
Lisalverto Bonilla Reds L2 Years 27.3% 13.6% Road L14 Days
Luis Severino Yankees L2 Years 23.2% 7.5% Home 24.8% 5.9% L14 Days 22.6% 5.7%
Marcus Stroman Blue Jays L2 Years 18.8% 6.3% Home 17.9% 6.1% L14 Days 18.8% 10.1%
Matt Moore Giants L2 Years 19.9% 8.5% Home 22.3% 7.0% L14 Days 17.8% 13.3%
Mike Clevinger Indians L2 Years 21.7% 13.0% Home 20.7% 15.7% L14 Days 23.8% 19.1%
Mike Fiers Astros L2 Years 20.1% 7.1% Road 16.5% 7.3% L14 Days 20.8% 10.4%
Nathan Karns Royals L2 Years 23.9% 9.2% Home 22.1% 8.8% L14 Days 34.7% 6.1%
Nick Martinez Rangers L2 Years 13.4% 8.9% Home 13.0% 6.1% L14 Days 14.3% 5.2%
Nick Pivetta Phillies L2 Years 22.9% 2.1% Road 21.7% 4.4% L14 Days 22.9% 2.1%
Ricky Nolasco Angels L2 Years 19.1% 5.4% Home 17.8% 4.6% L14 Days 33.3% 4.2%
Robert Gsellman Mets L2 Years 19.8% 7.5% Road 18.5% 8.5% L14 Days 4.4% 2.2%
Sonny Gray Athletics L2 Years 18.7% 7.4% Road 18.3% 9.1% L14 Days 12.8% 6.4%
Taijuan Walker Diamondbacks L2 Years 22.0% 5.7% Home 22.9% 6.3% L14 Days 14.9% 10.6%
Tanner Roark Nationals L2 Years 19.1% 7.7% Home 21.5% 8.2% L14 Days 27.7% 10.6%
Trevor Cahill Padres L2 Years 26.0% 11.1% Road 25.3% 11.2% L14 Days 32.6% 11.6%
Trevor Williams Pirates L2 Years 17.4% 9.9% Road 15.5% 8.5% L14 Days 9.4% 15.6%
Tyler Anderson Rockies L2 Years 20.8% 6.3% Home 21.9% 6.1% L14 Days 24.5% 8.2%
Zach Davies Brewers L2 Years 19.4% 7.0% Home 20.9% 5.9% L14 Days 21.7% 10.9%

K/BB Chart – Opponent

Opponent Split K% BB% Split K% BB% Split K% BB%
Rockies Home 21.2% 7.0% LH 24.7% 6.5% L7Days 23.6% 7.3%
Red Sox Home 16.3% 8.3% LH 14.2% 11.1% L7Days 17.2% 13.8%
Cubs Road 22.1% 10.2% RH 22.3% 8.8% L7Days 24.1% 11.7%
Rays Road 28.3% 11.1% LH 27.0% 12.2% L7Days 27.8% 7.4%
Royals Home 19.9% 7.6% RH 21.5% 7.2% L7Days 22.9% 8.3%
Angels Home 18.1% 7.4% LH 17.6% 9.6% L7Days 20.5% 7.0%
Blue Jays Home 22.4% 7.5% LH 23.3% 9.7% L7Days 19.1% 7.2%
Padres Road 24.6% 6.4% RH 24.5% 7.1% L7Days 18.2% 6.8%
Braves Road 20.7% 7.8% RH 20.1% 9.0% L7Days 22.5% 11.8%
Cardinals Home 21.4% 11.2% LH 21.2% 8.6% L7Days 18.2% 9.3%
Indians Home 21.9% 10.8% RH 21.7% 9.5% L7Days 17.9% 9.8%
Marlins Home 21.0% 8.1% RH 20.1% 6.5% L7Days 16.5% 7.4%
Giants Home 18.8% 6.5% RH 19.8% 6.8% L7Days 18.5% 6.9%
Astros Road 19.7% 9.0% RH 18.5% 7.8% L7Days 18.7% 8.2%
Mariners Road 20.4% 8.8% RH 20.5% 9.4% L7Days 16.6% 9.7%
Reds Road 17.6% 8.6% LH 17.8% 7.3% L7Days 18.3% 7.4%
Twins Road 19.7% 9.8% RH 21.6% 11.1% L7Days 23.4% 7.6%
Yankees Home 23.3% 11.2% RH 21.7% 10.2% L7Days 24.1% 10.2%
Orioles Road 25.5% 6.4% RH 21.3% 6.8% L7Days 21.0% 6.7%
Athletics Road 23.4% 8.9% RH 24.2% 9.6% L7Days 22.3% 8.6%
Nationals Home 20.0% 10.1% RH 20.2% 10.2% L7Days 23.4% 9.8%
Tigers Road 23.8% 10.2% RH 22.3% 10.3% L7Days 25.1% 10.1%
Brewers Home 26.1% 9.1% RH 24.6% 8.2% L7Days 22.6% 7.2%
Rangers Home 23.1% 9.2% RH 23.0% 9.3% L7Days 23.3% 10.3%
Pirates Road 20.2% 8.6% RH 19.0% 8.3% L7Days 28.9% 5.9%
Phillies Road 25.4% 8.1% RH 22.9% 8.8% L7Days 14.0% 12.8%
White Sox Home 22.2% 8.4% RH 23.8% 6.0% L7Days 19.4% 7.5%
Diamondbacks Home 21.4% 8.3% RH 24.2% 8.7% L7Days 24.7% 8.2%
Dodgers Road 22.0% 10.5% LH 21.0% 10.2% L7Days 20.6% 10.7%
Mets Road 18.9% 9.8% RH 19.2% 9.5% L7Days 17.7% 9.1%

Batted Ball Chart

Pitcher and Opponent Batted Ball stats.

Pitcher Team Split Hard% HR/FB% Hd-St% Split Hard% HR/FB% Hd-St% Split Hard% HR/FB% Hd-St% Split Hard% HR/FB% Hd-St%
Alex Wood Dodgers L2 Years 27.2% 10.8% 10.7% 2017 23.0% 5.6% 5.4% Road 29.2% 10.5% 10.2% L14 Days 23.8% 0.0% 4.7%
Blake Snell Rays L2 Years 32.1% 7.6% 11.0% 2017 33.6% 11.9% 15.0% Road 30.5% 5.8% 13.4% L14 Days 36.0% 11.8% 18.0%
Carlos Martinez Cardinals L2 Years 29.2% 10.3% 8.8% 2017 31.9% 18.8% 11.5% Home 27.1% 14.6% 6.8% L14 Days 32.4% 22.2% 24.3%
Chris Sale Red Sox L2 Years 29.6% 11.5% 11.3% 2017 32.4% 4.8% 16.7% Home 33.7% 18.2% 17.4% L14 Days 32.1% 7.7% 21.4%
Chris Tillman Orioles L2 Years 29.6% 9.9% 11.0% 2017 13.3% 0.0% -20.0% Road 28.3% 9.2% 11.2% L14 Days 13.3% 0.0% -20.0%
Daniel Norris Tigers L2 Years 33.6% 11.2% 18.7% 2017 43.4% 5.7% 30.2% Road 35.9% 5.9% 24.9% L14 Days 46.9% 9.1% 40.6%
Dillon Overton Mariners L2 Years 35.2% 20.0% 24.2% 2017 23.8% 11.8% 11.9% Road 38.7% 25.0% 28.0% L14 Days 27.0% 13.3% 13.5%
Dylan Covey White Sox L2 Years 37.5% 21.2% 17.7% 2017 37.5% 21.2% 17.7% Home 40.0% 0.0% 10.0% L14 Days 43.5% 23.5% 30.5%
Edinson Volquez Marlins L2 Years 31.8% 11.3% 13.8% 2017 41.8% 15.4% 26.6% Home 31.1% 10.5% 13.7% L14 Days 33.3% 50.0% 33.3%
Jon Lester Cubs L2 Years 27.7% 11.1% 7.6% 2017 26.3% 11.1% 7.7% Road 26.4% 14.3% 7.6% L14 Days 20.7% 14.3% -6.9%
Jose Berrios Twins L2 Years 33.3% 16.2% 15.1% 2017 Road 31.1% 15.9% 10.3% L14 Days
Julio Teheran Braves L2 Years 32.0% 10.3% 14.0% 2017 30.2% 9.3% 7.2% Road 31.0% 7.9% 13.0% L14 Days 45.0% 16.7% 17.5%
Lisalverto Bonilla Reds L2 Years 41.7% 16.7% 25.0% 2017 41.7% 16.7% 25.0% Road L14 Days
Luis Severino Yankees L2 Years 28.3% 17.9% 5.7% 2017 29.4% 21.9% 9.8% Home 29.7% 25.0% 6.8% L14 Days 39.5% 23.1% 26.3%
Marcus Stroman Blue Jays L2 Years 30.8% 15.7% 11.6% 2017 31.4% 12.9% 10.7% Home 32.2% 12.3% 13.4% L14 Days 28.6% 21.4% 6.1%
Matt Moore Giants L2 Years 32.7% 11.1% 16.1% 2017 43.3% 13.7% 29.1% Home 33.3% 10.1% 17.2% L14 Days 53.3% 6.3% 36.6%
Mike Clevinger Indians L2 Years 31.3% 12.1% 13.2% 2017 33.3% 0.0% 16.6% Home 32.5% 6.9% 16.9% L14 Days 33.3% 0.0% 16.6%
Mike Fiers Astros L2 Years 33.3% 15.1% 14.9% 2017 35.8% 41.2% 20.0% Road 35.0% 21.1% 18.8% L14 Days 45.5% 46.2% 39.4%
Nathan Karns Royals L2 Years 31.9% 12.7% 11.5% 2017 29.6% 19.4% 4.1% Home 22.4% 8.6% 1.8% L14 Days 25.0% 0.0% 0.0%
Nick Martinez Rangers L2 Years 29.9% 16.4% 13.0% 2017 23.8% 21.9% -3.6% Home 31.5% 25.0% 9.8% L14 Days 27.4% 29.2% -1.6%
Nick Pivetta Phillies L2 Years 51.4% 30.8% 45.7% 2017 51.4% 30.8% 45.7% Road 52.9% 12.5% 47.0% L14 Days 51.4% 30.8% 45.7%
Ricky Nolasco Angels L2 Years 33.6% 12.9% 19.2% 2017 35.8% 19.6% 21.6% Home 29.9% 10.4% 13.8% L14 Days 43.3% 26.7% 43.3%
Robert Gsellman Mets L2 Years 29.8% 11.5% 11.7% 2017 31.5% 20.8% 13.5% Road 31.2% 11.5% 12.9% L14 Days 35.0% 25.0% 17.5%
Sonny Gray Athletics L2 Years 29.9% 14.7% 13.4% 2017 26.3% 25.0% 15.8% Road 34.7% 23.1% 21.0% L14 Days 26.3% 25.0% 15.8%
Taijuan Walker Diamondbacks L2 Years 28.9% 14.4% 10.1% 2017 31.4% 9.3% 15.3% Home 29.9% 16.4% 10.3% L14 Days 22.9% 8.3% 2.9%
Tanner Roark Nationals L2 Years 25.3% 11.9% 3.0% 2017 26.5% 10.8% 8.3% Home 26.1% 7.5% 4.7% L14 Days 27.6% 20.0% 10.4%
Trevor Cahill Padres L2 Years 32.0% 15.5% 8.5% 2017 36.9% 9.1% 11.9% Road 41.0% 17.2% 20.9% L14 Days 34.8% 0.0% 0.0%
Trevor Williams Pirates L2 Years 28.1% 22.2% 5.2% 2017 25.5% 17.4% -2.0% Road 27.8% 36.8% 1.9% L14 Days 33.3% 30.0% 0.0%
Tyler Anderson Rockies L2 Years 29.3% 15.7% 5.2% 2017 32.5% 24.3% 8.8% Home 28.6% 12.5% 2.9% L14 Days 34.4% 37.5% 9.4%
Zach Davies Brewers L2 Years 33.9% 12.5% 13.6% 2017 36.2% 14.3% 13.8% Home 35.6% 13.1% 17.9% L14 Days 33.3% 27.3% 10.0%

Batted Ball Charts – Opponent

Opponent Split Hard% HR/FB% Hd-St% Split Hard% HR/FB% Hd-St% Split Hard% HR/FB% Hd-St%
Rockies Home 31.2% 16.1% 11.1% LH 33.7% 19.2% 14.7% L7Days 31.5% 11.1% 9.6%
Red Sox Home 38.3% 7.5% 19.6% LH 35.1% 4.3% 11.9% L7Days 43.0% 18.0% 26.2%
Cubs Road 29.9% 13.0% 10.9% RH 28.5% 10.7% 11.8% L7Days 27.1% 12.5% 8.3%
Rays Road 33.6% 13.7% 11.5% LH 33.1% 11.0% 9.1% L7Days 36.6% 13.0% 18.6%
Royals Home 30.7% 7.8% 9.7% RH 31.7% 10.9% 11.3% L7Days 36.3% 7.4% 21.8%
Angels Home 26.5% 12.7% 6.8% LH 27.2% 6.3% 13.4% L7Days 30.4% 14.8% 10.3%
Blue Jays Home 27.6% 10.3% 6.5% LH 31.0% 10.9% 13.6% L7Days 23.3% 15.1% 0.6%
Padres Road 30.5% 16.0% 9.8% RH 28.4% 16.8% 6.3% L7Days 24.9% 15.5% 0.7%
Braves Road 30.3% 13.5% 11.2% RH 30.6% 11.5% 12.1% L7Days 26.5% 12.5% 8.3%
Cardinals Home 26.8% 11.3% 5.7% LH 31.8% 4.8% 17.9% L7Days 31.2% 8.1% 11.0%
Indians Home 30.9% 14.0% 15.0% RH 34.4% 11.8% 17.3% L7Days 31.5% 6.1% 10.7%
Marlins Home 31.1% 16.0% 11.1% RH 29.8% 13.6% 10.1% L7Days 36.3% 26.0% 22.8%
Giants Home 22.7% 6.5% 0.6% RH 27.7% 8.2% 6.9% L7Days 26.6% 11.0% 5.4%
Astros Road 31.4% 10.8% 13.0% RH 31.4% 13.3% 12.6% L7Days 28.3% 10.6% 11.9%
Mariners Road 29.0% 10.9% 11.6% RH 30.7% 12.0% 13.4% L7Days 27.2% 9.7% 7.2%
Reds Road 29.2% 11.7% 6.1% LH 28.8% 17.8% 5.3% L7Days 25.1% 10.2% 5.3%
Twins Road 33.6% 12.9% 18.0% RH 34.5% 15.0% 18.5% L7Days 31.2% 13.0% 12.0%
Yankees Home 30.0% 21.9% 7.9% RH 30.1% 17.9% 9.4% L7Days 30.3% 17.9% 8.6%
Orioles Road 35.6% 14.0% 16.9% RH 30.8% 13.5% 11.6% L7Days 32.9% 11.7% 13.5%
Athletics Road 37.2% 9.6% 18.0% RH 36.4% 14.2% 20.7% L7Days 45.7% 16.9% 36.4%
Nationals Home 33.3% 16.1% 17.1% RH 31.3% 15.1% 14.7% L7Days 29.2% 17.3% 4.4%
Tigers Road 36.1% 12.5% 19.1% RH 43.2% 11.0% 27.9% L7Days 41.5% 9.8% 28.6%
Brewers Home 38.3% 20.5% 17.9% RH 34.0% 20.4% 15.6% L7Days 34.0% 17.9% 13.1%
Rangers Home 33.5% 16.6% 14.6% RH 32.7% 16.9% 13.6% L7Days 27.6% 18.4% 4.3%
Pirates Road 29.9% 9.7% 9.7% RH 28.8% 8.2% 7.5% L7Days 27.7% 10.4% 5.1%
Phillies Road 31.9% 13.3% 9.5% RH 30.0% 12.9% 8.2% L7Days 31.9% 18.6% 16.8%
White Sox Home 28.9% 9.8% 6.0% RH 26.1% 11.8% 5.4% L7Days 26.9% 11.5% 0.8%
Diamondbacks Home 38.7% 16.0% 26.3% RH 35.8% 15.7% 20.7% L7Days 34.3% 12.5% 21.3%
Dodgers Road 32.1% 9.7% 15.2% LH 34.0% 9.0% 19.5% L7Days 37.0% 12.5% 21.2%
Mets Road 35.7% 15.9% 18.0% RH 31.9% 11.4% 12.4% L7Days 34.6% 4.8% 12.8%

K/SwStr Chart (2017 LG AVG – 20.5 K% – 9.6 SwStr% – 2.14 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 31.2% 11.3% 2.76 34.4% 11.7% 2.94
Blake Snell TAM 17.7% 8.8% 2.01 17.7% 9.3% 1.90
Carlos Martinez STL 27.5% 11.2% 2.46 28.0% 10.5% 2.67
Chris Sale BOS 37.6% 16.5% 2.28 39.7% 18.0% 2.21
Chris Tillman BAL 18.2% 8.6% 2.12 18.2% 8.6% 2.12
Daniel Norris DET 18.0% 9.5% 1.89 20.3% 10.3% 1.97
Dillon Overton SEA 12.0% 10.6% 1.13 8.7% 8.4% 1.04
Dylan Covey CHW 9.2% 5.3% 1.74 9.2% 5.3% 1.74
Edinson Volquez MIA 24.1% 9.4% 2.56 21.8% 9.2% 2.37
Jon Lester CHC 22.9% 10.6% 2.16 20.2% 11.2% 1.80
Jose Berrios MIN
Julio Teheran ATL 16.9% 9.3% 1.82 15.6% 9.5% 1.64
Lisalverto Bonilla CIN 27.3% 16.3% 1.67 27.3% 16.3% 1.67
Luis Severino NYY 29.2% 10.4% 2.81 29.6% 10.3% 2.87
Marcus Stroman TOR 16.9% 8.2% 2.06 16.3% 8.1% 2.01
Matt Moore SFO 18.6% 8.0% 2.33 20.5% 7.9% 2.59
Mike Clevinger CLE 23.8% 8.8% 2.70 23.8% 8.8% 2.70
Mike Fiers HOU 19.3% 10.4% 1.86 21.1% 9.5% 2.22
Nathan Karns KAN 24.3% 12.1% 2.01 25.8% 12.7% 2.03
Nick Martinez TEX 13.6% 6.1% 2.23 13.6% 6.1% 2.23
Nick Pivetta PHI 22.9% 9.9% 2.31 22.9% 9.9% 2.31
Ricky Nolasco ANA 22.4% 10.3% 2.17 25.4% 10.8% 2.35
Robert Gsellman NYM 16.1% 6.6% 2.44 13.2% 5.7% 2.32
Sonny Gray OAK 12.8% 9.1% 1.41 12.8% 9.1% 1.41
Taijuan Walker ARI 23.3% 10.5% 2.22 25.8% 10.8% 2.39
Tanner Roark WAS 19.9% 8.5% 2.34 20.3% 8.1% 2.51
Trevor Cahill SDG 30.1% 13.9% 2.17 30.8% 13.9% 2.22
Trevor Williams PIT 16.9% 8.2% 2.06 11.1% 4.6% 2.41
Tyler Anderson COL 21.1% 12.0% 1.76 20.4% 11.3% 1.81
Zach Davies MIL 19.4% 7.2% 2.69 21.6% 7.0% 3.09


Alex Wood may not have a SwStr% to support a strikeout rate above 30%, but we don’t expect him to stay there. He hasn’t had a SwStr rate below 8.6% in any outing (not just starts) though.

ERA Estimators Chart (2017 LG AVG – 4.14 ERA – 4.20 SIERA – 4.15 xFIP – 4.23 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
Alex Wood LOS 2.73 2.69 -0.04 2.48 -0.25 1.91 -0.82 2.19 -0.54 3 1.75 -1.25 1.53 -1.47 1.31 -1.69
Blake Snell TAM 3.96 5.31 1.35 5.16 1.2 5.03 1.07 6.18 2.22 3.64 5.13 1.49 4.97 1.33 4.88 1.24
Carlos Martinez STL 3.86 3.46 -0.4 3.26 -0.6 3.85 -0.01 2.25 -1.61 3.94 3.69 -0.25 3.27 -0.67 4.34 0.4
Chris Sale BOS 1.92 2.2 0.28 2.3 0.38 1.45 -0.47 1.13 -0.79 2.19 2.09 -0.1 2.05 -0.14 1.24 -0.95
Chris Tillman BAL 0 5.25 5.25 5.22 5.22 3.22 3.22 3.14 3.14 0 5.25 5.25 5.22 5.22 3.22 3.22
Daniel Norris DET 4.55 4.93 0.38 4.76 0.21 3.75 -0.8 3.98 -0.57 4.62 4.67 0.05 4.54 -0.08 3.73 -0.89
Dillon Overton SEA 6.17 4.63 -1.54 4.93 -1.24 4.74 -1.43 6.22 0.05 6.75 5.14 -1.61 5.33 -1.42 5.27 -1.48
Dylan Covey CHW 8.28 5.73 -2.55 5.78 -2.5 7.22 -1.06 10.30 2.02 8.28 5.73 -2.55 5.78 -2.5 7.22 -1.06
Edinson Volquez MIA 4.71 4.99 0.28 4.6 -0.11 4.91 0.2 3.74 -0.97 5.6 6.42 0.82 5.87 0.27 5.74 0.14
Jon Lester CHC 3.27 3.86 0.59 3.77 0.5 3.58 0.31 2.35 -0.92 3.86 4.12 0.26 4.06 0.2 4.41 0.55
Jose Berrios MIN
Julio Teheran ATL 4.69 5.23 0.54 5.4 0.71 4.78 0.09 5.89 1.20 6.91 5.52 -1.39 5.84 -1.07 5.91 -1
Lisalverto Bonilla CIN 7.2 4.05 -3.15 5.02 -2.18 5.62 -1.58 3.78 -3.42 7.2 4.05 -3.15 5.02 -2.18 5.62 -1.58
Luis Severino NYY 3.4 2.76 -0.64 2.62 -0.78 3.58 0.18 1.99 -1.41 2.86 2.72 -0.14 2.59 -0.27 3.54 0.68
Marcus Stroman TOR 3.38 3.88 0.5 3.65 0.27 3.66 0.28 4.73 1.35 3.69 3.98 0.29 3.81 0.12 3.87 0.18
Matt Moore SFO 6.52 4.54 -1.98 4.83 -1.69 4.99 -1.53 9.06 2.54 8.53 4.63 -3.9 4.94 -3.59 5.78 -2.75
Mike Clevinger CLE 0 5.46 5.46 4.84 4.84 3.37 3.37 2.04 2.04 0 5.49 5.49 4.84 4.84 3.37 3.37
Mike Fiers HOU 5.64 4.47 -1.17 4.46 -1.18 8.59 2.95 8.39 2.75 6.66 4.25 -2.41 4.35 -2.31 9.31 2.65
Nathan Karns KAN 4.58 3.56 -1.02 3.63 -0.95 4.38 -0.2 3.31 -1.27 4.03 3.21 -0.82 3.25 -0.78 4.06 0.03
Nick Martinez TEX 5.18 4.69 -0.49 4.67 -0.51 6.23 1.05 7.81 2.63 5.18 4.69 -0.49 4.67 -0.51 6.23 1.05
Nick Pivetta PHI 5.4 3.38 -2.02 3.58 -1.82 6.62 1.22 10.22 4.82 5.4 3.38 -2.02 3.58 -1.82 6.62 1.22
Ricky Nolasco ANA 4.31 3.72 -0.59 4.03 -0.28 5.29 0.98 6.61 2.30 4.5 3.23 -1.27 3.5 -1 5.02 0.52
Robert Gsellman NYM 6.54 3.97 -2.57 4.09 -2.45 4.88 -1.66 7.64 1.10 7.01 4.12 -2.89 4.34 -2.67 5.2 -1.81
Sonny Gray OAK 4.22 4.6 0.38 4.61 0.39 6.4 2.18 6.02 1.80 4.22 4.61 0.39 4.61 0.39 6.4 2.18
Taijuan Walker ARI 3.83 3.75 -0.08 3.86 0.03 3.37 -0.46 3.69 -0.14 3.41 3.34 -0.07 3.49 0.08 3.06 -0.35
Tanner Roark WAS 3.46 4.19 0.73 4.02 0.56 3.79 0.33 2.78 -0.68 3.23 4.36 1.13 3.97 0.74 4.26 1.03
Trevor Cahill SDG 3.06 3.33 0.27 3.09 0.03 2.8 -0.26 2.11 -0.95 3.03 3.2 0.17 2.9 -0.13 2.38 -0.65
Trevor Williams PIT 7.98 4.94 -3.04 5.63 -2.35 6.57 -1.41 7.28 -0.70 8.44 6.23 -2.21 6.95 -1.49 7.8 -0.64
Tyler Anderson COL 6.69 4.06 -2.63 3.92 -2.77 5.44 -1.25 5.85 -0.84 5.96 3.94 -2.02 3.78 -2.18 5.71 -0.25
Zach Davies MIL 5.6 4.56 -1.04 4.63 -0.97 4.86 -0.74 6.32 0.72 3.81 4.18 0.37 4.22 0.41 4.87 1.06


Nathan Karns has a 19.4 HR/FB and while he’s upped his weak contact (4.1 Hard-Soft%), he’s still allowing sweet spots on 10% of BBEs. While that number should probably come down some, this is why we mostly prefer him at home or in larger parks.

BABIP & Statcast Chart (2017 LG AVG – .288 BABIP – 44.3 GB% – 20.3 LD% – 9.0 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 GB% Pitcher LD% Pitcher IFFB% Pitcher Zcontact Exit
Velocity
Barrels
BBE
Barrels
PA
BBE
Alex Wood LOS 0.291 0.260 -0.031 62.2% 0.135 22.2% 86.8% 86.2 2.70% 1.60% 74
Blake Snell TAM 0.274 0.296 0.022 39.6% 0.225 16.7% 84.8% 87.2 4.40% 3.00% 113
Carlos Martinez STL 0.299 0.290 -0.009 50.9% 0.205 15.6% 86.5% 87.7 6.20% 3.80% 113
Chris Sale BOS 0.302 0.264 -0.038 39.6% 0.208 9.5% 75.2% 86.9 3.70% 2.10% 108
Chris Tillman BAL 0.293 0.200 -0.093 46.7% 0.133 16.7% 85.2% 85 0.00% 0.00% 15
Daniel Norris DET 0.305 0.356 0.051 40.4% 0.26 5.7% 87.3% 88.6 6.60% 4.70% 106
Dillon Overton SEA 0.295 0.275 -0.02 41.5% 0.171 0.0% 84.2% 88.9 9.50% 8.00% 42
Dylan Covey CHW 0.268 0.337 0.069 45.3% 0.2 0.0% 93.4% 90.9 10.40% 8.40% 96
Edinson Volquez MIA 0.276 0.347 0.071 41.6% 0.247 3.8% 84.7% 88.4 8.90% 5.30% 79
Jon Lester CHC 0.293 0.316 0.023 55.6% 0.137 2.8% 83.1% 87.3 3.40% 2.30% 118
Jose Berrios MIN 0.272
Julio Teheran ATL 0.289 0.298 0.009 31.7% 0.244 5.6% 86.4% 85.1 6.30% 4.50% 126
Lisalverto Bonilla CIN 0.264 0.182 -0.082 16.7% 0.333 0.0% 76.9% 92.6 16.70% 9.10% 12
Luis Severino NYY 0.283 0.232 -0.051 50.0% 0.18 9.4% 88.6% 88.9 10.80% 7.10% 102
Marcus Stroman TOR 0.299 0.331 0.032 57.6% 0.201 6.5% 90.3% 88.1 7.10% 5.40% 140
Matt Moore SFO 0.306 0.317 0.011 40.0% 0.192 7.8% 90.0% 91.2 12.60% 9.00% 127
Mike Clevinger CLE 0.304 0.083 -0.221 33.3% 0.25 0.0% 87.0% 87.1 0.00% 0.00% 12
Mike Fiers HOU 0.274 0.244 -0.03 50.0% 0.138 5.9% 84.3% 87.3 12.60% 8.90% 95
Nathan Karns KAN 0.289 0.272 -0.017 56.7% 0.113 3.2% 84.9% 86.6 10.20% 6.80% 98
Nick Martinez TEX 0.277 0.247 -0.03 44.6% 0.169 15.6% 89.2% 86 10.70% 8.70% 84
Nick Pivetta PHI 0.285 0.452 0.167 34.3% 0.286 0.0% 90.0% 91.2 11.40% 8.30% 35
Ricky Nolasco ANA 0.281 0.291 0.01 36.4% 0.161 8.9% 87.2% 90 14.20% 10.30% 120
Robert Gsellman NYM 0.313 0.349 0.036 58.2% 0.2 4.2% 90.6% 86.7 6.30% 4.70% 111
Sonny Gray OAK 0.272 0.257 -0.015 55.3% 0.132 0.0% 85.2% 90.9 7.90% 6.40% 38
Taijuan Walker ARI 0.295 0.307 0.012 45.3% 0.179 14.0% 82.9% 87.9 5.10% 3.50% 118
Tanner Roark WAS 0.290 0.256 -0.034 46.6% 0.22 10.8% 87.8% 86 5.80% 4.10% 121
Trevor Cahill SDG 0.286 0.280 -0.006 57.1% 0.167 13.6% 86.2% 86.4 4.80% 2.70% 84
Trevor Williams PIT 0.308 0.319 0.011 33.3% 0.216 17.4% 86.5% 86.8 5.90% 4.20% 51
Tyler Anderson COL 0.282 0.324 0.042 40.0% 0.264 13.5% 82.1% 84.3 9.60% 6.80% 114
Zach Davies MIL 0.319 0.364 0.045 41.2% 0.219 9.5% 91.1% 86.4 7.80% 5.50% 116


Daniel Norris has a pretty terrible batted ball profile.

Pitcher Notes & Summary

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Here we rank pitchers by value tiers with their overall rank in parenthesis next to the name for the top five to ten. These are not hard and rigid rankings. Everything is fluid and can change depending on ever evolving situations throughout the day. This is the more opinionated part. If there are questions, it’ll help show you where my imaginary boundaries are drawn.

Value Tier One

Trevor Cahill (1) is one of the most expensive pitchers on the board. We knew this was coming and may have to soon exercise some caution because there are some flaws in his walk and hard contact rates. Tonight is not the night for such caution though, as he’s in a great spot against White Sox on an overall weak board.

Alex Wood (2) hasn’t been going deep into games, but has still struck out 19 over his last 10 innings. Pitching in Coors is never an easy task or a favorable matchup, but it is more navigable this year, especially considering the usual cost reduction (below $7K).

Value Tier Two

Nathan Karns (3) is flawed and facing a team with power, but does so in a big park, which may be more important to him than it being a positive run environment overall. He’s probably you’re third best play for strikeouts tonight for less than $8K, hence the two pitchers ranked above him.

Value Tier Three

Taijuan Walker (4) is not the most consistent arm, but does have strong upside and should be in a favorable spot against a poor offense even in a very unfriendly park.

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. .

I’d probably not use any of these guys and consider them well below the top three tiers of arms, but decided to provide them anyway because I didn’t want to stop at just four pitchers tonight. You probably should though.

Tanner Roark usually comes at a cost beyond what we’re willing to pay for contact management for a guy with a near average ground ball rate. That’s probably the case today too, but if we’re extending past the four pitchers above, this is where I might look next. He may pop an above average strikeout rate against the Phillies tonight. Then again, they may never play baseball in Washington again, considering how quickly they’ve cancelled the last two nights.

Daniel Norris can miss a few bats and is not in a terrible run prevention spot. As mentioned, I’d probably avoid this entire tier, but there’s no way I’m paying $8.9K for him.

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.