Advanced Stats - Pitching: Saturday, July 9th

We’re covering the five-game night slate, but listing the larger mid-day slate too on Saturday, the last time we’ll meet before the All-Star break. For DFS players, this is like our holiday break as it’s really the only week all year without any major daily fantasy activity. Have a happy and healthy vacation and come back rested on Friday for a great second half.

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+
Adam Conley FLA 3.3 4.28 5.43 0.98 1 4.41 4.35 CIN 79 87 79
Brandon McCarthy LOS 0.6 2.86 6.22 1.57 0.9 2.03 1.6 SDG 92 81 135
CC Sabathia NYY -2.4 4.23 5.81 1.37 1.03 4.1 4.21 CLE 124 89 114
Chad Kuhl PIT 0.5 5.46 5.5 0.61 0.95 5.93 5.46 CHC 110 103 107
Danny Salazar CLE 9.6 3.47 6.09 1.14 1.03 3.37 4.08 NYY 79 88 97
Edinson Volquez KAN 6.2 4.33 6.06 1.57 1.04 4.24 5.21 SEA 102 113 123
Jake Peavy SFO 8.5 4.29 5.84 0.84 0.89 4.75 6.23 ARI 103 91 102
Jerad Eickhoff PHI -4.2 3.91 6.17 1.12 1.37 4.33 4.23 COL 105 94 64
John Lamb CIN -2.7 4.44 5.1 1.07 1 4.18 4.26 FLA 87 93 106
Jon Lester CHC 7.6 3.25 6.51 1.45 0.95 3.34 4.83 PIT 112 107 104
Kendall Graveman OAK -12.4 4.5 5.46 1.81 1.01 4.51 5.21 HOU 97 102 86
Lance McCullers HOU 4.4 3.66 5.75 1.72 1.01 3.15 1.79 OAK 94 85 69
Logan Verrett NYM -5 4.47 5.11 1.21 0.87 4.6 5.67 WAS 99 93 113
Luis Perdomo SDG -5.3 4.01 4.85 2.9 0.9 3.4 3.32 LOS 97 96 124
Matt Moore TAM -3 4.4 5.72 0.93 1.07 5.07 4.96 BOS 122 114 158
Max Scherzer WAS 4.3 2.81 6.82 0.81 0.87 2.93 2.98 NYM 105 97 155
Nicholas Tropeano ANA 2.3 4.39 5.37 0.8 1.04 5.25 5.06 BAL 112 114 99
Nick Martinez TEX 11.1 5.03 5.63 1.08 1.07 5.32 7.06 MIN 88 88 143
Rick Porcello BOS 4.9 3.75 6.24 1.47 1.07 3.7 3.74 TAM 106 89 82
Ricky Nolasco MIN -5.8 4.04 5.68 1.19 1.07 3.76 4.82 TEX 97 91 103
Robbie Ray ARI -5.3 3.98 5.37 1.3 0.89 3.9 2.83 SFO 110 103 92
Tyler Anderson COL 1.6 3.22 5.84 3.18 1.37 2.55 3.4 PHI 90 61 114
Wade Miley SEA -4 4.31 5.94 1.63 1.04 4.59 5.42 KAN 106 104 64
Yovani Gallardo BAL -5.2 4.49 5.55 1.58 1.04 4.73 4.83 ANA 103 99 141


Brandon McCarthy struck out eight of 18 Rockies, getting 11 swings and misses in 72 pitches with velocity in line with 2015 (93.3 mph). Six of nine batted balls were on the ground. With just two balls hit hard, aside from the walk and single line drive, what more can you ask for from a guy returning from Tommy John? He’s in a second consecutive great spot tonight, perhaps the best on the night slate against a San Diego offense that, while improved, still has 17.1 K-BB% vs RHP.

Jon Lester was bombed in his last start by the Mets (three HRs and just 14 total batters before being removed after eight runs) and while he hadn’t been pitching poorly previous, he’s now allowed seven of his 14 HRs in his last four starts. His 18.8 K-BB% is now a bit below the last two seasons with his ERA estimators the highest they’ve been in three years. The Pirates are a good offense at home vs LHP. They don’t hit a lot of HRs at home as an offense that leans heavily RH in a park that greatly suppresses RHP, but they do hit the ball hard 34.3% of the time vs LHP, despite a 24.2 K% that should benefit Lester too.

Luis Perdomo has some solid peripherals over the last month. One outing wasn’t a start, but lasted 5.2 innings in Colorado in which he struck out seven. In 28.2 innings, he’s struck out 29 of 133 batters with a 15.8 K-BB% and 65.3 GB%. He’s basically almost been a right handed Dallas Keuchel from last year. If you’re considering why his results have been less than stellar, he’s pitched in Colorado, Baltimore, Cincinnati, and Arizona, pretty much most of the most difficult environments for a pitcher in baseball. He faces the Dodgers tonight (again on the road), but in a better spot tonight in a negative run environment. While the peripherals aren’t bad, this offense has been below average all season and likely grade out as one of tonight’s top matchups.

Max Scherzer should probably take up the least space today. There are five pitchers in baseball with a strikeout rate above 30%. One is one the DL, three pitched yesterday, and then there’s Scherzer. His 26.0 K-BB% is fourth in the majors, his 15.2 SwStr% is second. He’s struck out at least six in all but one start and 10 or more in five of his last seven. He’s allowed 21 HRs, so there might be a couple of runs against on offense with power (15.2 HR/FB at home), but there isn’t much that worries us with pitchers who exceed a 30 K%.

Tyler Anderson struggled a bit more against a team that doesn’t strike out in San Francisco last time out, but he’s pitched very well in three home starts, allowing just five ERs in 18 innings, while striking out 20 of 79 batters. He also has a 62.1 GB% this year. It’s strange that two of the three HRs he’s allowed came in San Francisco, but things don’t go as planned every night over 162 games. The Phillies are the worst offense in baseball vs LHP (17.9 K-BB%, 7.3 HR/FB) and it’s not even close.

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 (.295 BABIP – 72.2 LOB% – 12.7 HR/FB)

Logan Verrett (.289 BABIP81.7 LOB% – 17.3 HR/FB) has been the swingman for a banged up Mets rotation this season. After pitching well in his first two starts in April, he’s allowed 14 runs over 11.2 innings, walking 10 and striking out just six of 60 batters, though all three of those starts were on the road in tough parks. He has just a 5.6 K-BB% overall with a 24.7 Hard-Soft%.

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

Ricky Nolasco is never going to line up with his peripherals as he’s the rare pitcher who really can’t strand runners with a large enough sample size to consider it a real issue, but recently, his peripherals aren’t even that good. He’s walked eight of 81 batters, while striking out just 10 with four HRs in three starts. Texas is a pretty marginal offense in a park that props them up a bit, but I couldn’t argue too much if you wanted to use his previously strong peripherals (which may play better than actual run prevention on some sites) as an excuse to plug him into your secondary pitcher site on DraftKings at a low price.

Jerad Eickhoff already was a much better pitcher at home and a slightly below average one on the road for his career with an ERA 1.73 runs higher (FIP 1.07 higher) and K-BB% 6.9 points lower with nearly eight points more of hard contact. This isn’t just a road start. This is Colorado.

Chad Kuhl has struck out seven of 47 batters, while walking four with a HR and allowing hard contact on 38.9% of batted balls, but soft contact on just two. The former ninth round pick has no real prospect status. He did proceed quickly through the minors at a level per year, but without real standout pitches in a favorable park, but the Cubs are a patient, above average offense, that will make him work.

Nick Martinez has walked more batters than he’s struck out in all four starts and has a -6.3 K-BB%.

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%
Adam Conley Marlins L2 Years 21.3% 8.8% Home 21.9% 10.6% L14 Days 23.9% 8.7%
Brandon McCarthy Dodgers L2 Years 24.7% 3.7% Home 36.7% 4.4% L14 Days 44.4% 5.6%
CC Sabathia Yankees L2 Years 19.1% 7.6% Road 19.6% 7.7% L14 Days 18.0% 4.9%
Chad Kuhl Pirates L2 Years 14.9% 8.5% Home 22.7% 18.2% L14 Days 14.9% 8.5%
Danny Salazar Indians L2 Years 26.3% 8.0% Home 27.3% 7.4% L14 Days 22.7% 8.0%
Edinson Volquez Royals L2 Years 18.3% 8.8% Home 17.3% 7.7% L14 Days 13.4% 10.5%
Jake Peavy Giants L2 Years 18.3% 6.1% Home 14.4% 5.5% L14 Days 13.5% 8.1%
Jerad Eickhoff Phillies L2 Years 22.1% 6.3% Road 19.2% 6.9% L14 Days 25.5% 10.9%
John Lamb Reds L2 Years 20.8% 9.6% Road 20.7% 8.2% L14 Days 24.5% 10.2%
Jon Lester Cubs L2 Years 25.0% 5.5% Road 23.5% 4.9% L14 Days 14.6% 4.9%
Kendall Graveman Athletics L2 Years 15.4% 7.6% Road 15.5% 8.5% L14 Days 11.5% 9.6%
Lance McCullers Astros L2 Years 25.9% 9.7% Home 28.0% 8.7% L14 Days 40.0% 4.0%
Logan Verrett Mets L2 Years 18.0% 9.1% Home 16.9% 7.9% L14 Days 7.1% 9.5%
Luis Perdomo Padres L2 Years 17.9% 8.8% Road 21.9% 7.1% L14 Days 17.9% 5.4%
Matt Moore Rays L2 Years 19.4% 7.4% Road 16.0% 7.8% L14 Days 17.9% 6.0%
Max Scherzer Nationals L2 Years 30.5% 5.4% Road 32.0% 4.4% L14 Days 35.1% 9.1%
Nicholas Tropeano Angels L2 Years 21.2% 9.3% Road 20.8% 10.4% L14 Days 21.1% 5.3%
Nick Martinez Rangers L2 Years 13.6% 8.7% Home 14.0% 9.0% L14 Days 6.7% 14.7%
Rick Porcello Red Sox L2 Years 19.5% 4.8% Home 21.3% 4.1% L14 Days 20.4% 5.6%
Ricky Nolasco Twins L2 Years 19.0% 5.4% Road 23.6% 6.8% L14 Days 17.7% 7.8%
Robbie Ray Diamondbacks L2 Years 22.9% 8.8% Road 23.6% 9.4% L14 Days 26.8% 3.6%
Tyler Anderson Rockies L2 Years 21.3% 4.9% Home 25.3% 5.1% L14 Days 21.1% 6.6%
Wade Miley Mariners L2 Years 17.7% 8.3% Road 15.7% 9.4% L14 Days 6.4% 4.3%
Yovani Gallardo Orioles L2 Years 16.0% 8.3% Home 15.1% 10.3% L14 Days 21.2% 12.1%

K/BB Chart – Opponent

Opponent Split K% BB% Split K% BB% Split K% BB%
Reds Road 22.0% 7.2% LH 22.5% 7.1% L7Days 19.4% 7.8%
Padres Road 24.1% 7.1% RH 23.9% 6.8% L7Days 24.9% 7.3%
Indians Home 19.2% 9.8% LH 21.9% 7.0% L7Days 26.1% 7.8%
Cubs Road 22.5% 10.1% RH 22.9% 10.8% L7Days 21.4% 9.3%
Yankees Road 19.0% 6.4% RH 18.7% 7.7% L7Days 19.4% 5.5%
Mariners Road 20.8% 7.3% RH 19.7% 8.7% L7Days 24.7% 8.0%
Diamondbacks Road 21.7% 7.7% RH 23.4% 6.8% L7Days 20.9% 4.7%
Rockies Home 18.1% 9.3% RH 20.1% 7.6% L7Days 27.2% 5.8%
Marlins Home 19.3% 7.5% LH 23.5% 7.3% L7Days 21.0% 5.4%
Pirates Home 19.3% 9.3% LH 24.2% 9.8% L7Days 22.4% 7.9%
Astros Home 24.9% 10.4% RH 24.2% 10.0% L7Days 24.4% 7.6%
Athletics Road 18.3% 7.1% RH 18.0% 7.0% L7Days 17.4% 6.6%
Nationals Road 21.4% 8.5% RH 20.0% 9.2% L7Days 18.2% 9.5%
Dodgers Home 19.9% 9.3% RH 20.5% 8.9% L7Days 21.3% 12.1%
Red Sox Home 16.6% 9.6% LH 18.2% 10.2% L7Days 11.2% 9.6%
Mets Home 22.5% 9.5% RH 22.5% 8.7% L7Days 17.7% 10.3%
Orioles Home 20.0% 8.6% RH 22.4% 7.8% L7Days 20.8% 7.3%
Twins Road 25.4% 8.4% RH 22.0% 8.1% L7Days 14.8% 13.1%
Rays Road 23.4% 8.3% RH 24.9% 7.7% L7Days 24.5% 5.9%
Rangers Home 18.7% 8.1% RH 19.5% 7.3% L7Days 23.1% 6.0%
Giants Home 16.9% 10.1% LH 18.2% 8.7% L7Days 19.8% 9.7%
Phillies Road 20.9% 6.1% LH 23.9% 6.0% L7Days 20.2% 4.7%
Royals Home 17.4% 6.5% LH 17.9% 6.0% L7Days 23.2% 5.9%
Angels Road 15.3% 7.3% RH 15.5% 7.6% L7Days 11.9% 8.3%

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%
Adam Conley Marlins L2 Years 26.3% 8.2% 5.7% 2016 29.7% 7.7% 10.0% Home 27.3% 7.1% 4.6% L14 Days 51.7% 12.5% 34.5%
Brandon McCarthy Dodgers L2 Years 35.8% 18.3% 21.3% 2016 22.2% 0.0% -11.1% Home 43.4% 31.6% 24.5% L14 Days 22.2% 0.0% -11.1%
CC Sabathia Yankees L2 Years 27.9% 13.3% 8.7% 2016 25.3% 6.9% 0.4% Road 27.5% 13.6% 8.9% L14 Days 28.3% 18.8% 4.4%
Chad Kuhl Pirates L2 Years 38.9% 5.6% 33.3% 2016 38.9% 5.6% 33.3% Home 61.5% 14.3% 61.5% L14 Days 38.9% 5.6% 33.3%
Danny Salazar Indians L2 Years 31.6% 10.3% 16.0% 2016 36.0% 9.2% 21.1% Home 31.3% 11.3% 15.8% L14 Days 48.1% 11.8% 40.4%
Edinson Volquez Royals L2 Years 28.6% 8.2% 10.5% 2016 26.3% 10.3% 5.7% Home 30.6% 6.8% 14.3% L14 Days 38.0% 7.1% 22.0%
Jake Peavy Giants L2 Years 29.8% 7.2% 11.7% 2016 36.9% 7.8% 22.1% Home 30.8% 4.9% 12.5% L14 Days 36.2% 5.6% 24.1%
Jerad Eickhoff Phillies L2 Years 32.6% 10.9% 11.5% 2016 31.0% 11.9% 9.7% Road 36.4% 11.8% 16.9% L14 Days 50.0% 13.3% 44.1%
John Lamb Reds L2 Years 30.1% 15.9% 9.0% 2016 34.6% 17.1% 12.6% Road 34.3% 16.7% 17.2% L14 Days 34.4% 30.8% 18.8%
Jon Lester Cubs L2 Years 27.1% 10.7% 5.2% 2016 27.7% 14.6% 6.2% Road 26.7% 11.0% 3.5% L14 Days 25.0% 30.8% -3.1%
Kendall Graveman Athletics L2 Years 29.6% 14.1% 13.0% 2016 31.8% 14.5% 14.1% Road 28.6% 16.5% 13.1% L14 Days 36.6% 0.0% 14.6%
Lance McCullers Astros L2 Years 28.8% 8.0% 8.0% 2016 28.5% 3.4% 8.1% Home 28.2% 6.8% 6.8% L14 Days 42.9% 0.0% 28.6%
Logan Verrett Mets L2 Years 31.2% 14.6% 17.8% 2016 34.8% 17.3% 24.7% Home 28.4% 15.4% 12.8% L14 Days 31.4% 42.9% 17.1%
Luis Perdomo Padres L2 Years 31.5% 23.8% 12.7% 2016 31.5% 23.8% 12.7% Road 32.3% 30.8% 15.0% L14 Days 25.6% 16.7% -4.6%
Matt Moore Rays L2 Years 33.1% 12.4% 13.0% 2016 34.0% 13.1% 15.1% Road 34.3% 11.5% 16.4% L14 Days 31.8% 5.9% 12.7%
Max Scherzer Nationals L2 Years 29.0% 11.3% 8.6% 2016 27.2% 16.3% 3.2% Road 27.5% 13.0% 2.8% L14 Days 31.0% 16.7% 16.7%
Nicholas Tropeano Angels L2 Years 29.5% 7.6% 14.0% 2016 34.9% 12.0% 18.3% Road 27.2% 10.9% 8.0% L14 Days 28.6% 20.0% 7.2%
Nick Martinez Rangers L2 Years 28.6% 9.4% 12.2% 2016 30.6% 13.3% 14.1% Home 31.4% 7.7% 13.5% L14 Days 36.2% 17.4% 20.7%
Rick Porcello Red Sox L2 Years 29.1% 12.3% 12.5% 2016 28.7% 12.0% 12.5% Home 31.4% 10.7% 14.6% L14 Days 17.5% 0.0% -2.5%
Ricky Nolasco Twins L2 Years 32.3% 10.3% 15.7% 2016 33.5% 11.1% 16.6% Road 33.5% 14.9% 17.0% L14 Days 36.8% 17.6% 21.0%
Robbie Ray Diamondbacks L2 Years 34.9% 11.1% 18.7% 2016 35.2% 15.0% 18.2% Road 31.7% 8.7% 13.4% L14 Days 34.2% 0.0% 15.8%
Tyler Anderson Rockies L2 Years 28.1% 17.6% 9.0% 2016 28.1% 17.6% 9.0% Home 33.3% 10.0% 16.6% L14 Days 27.8% 30.0% 3.7%
Wade Miley Mariners L2 Years 27.6% 11.2% 10.7% 2016 32.7% 15.8% 15.3% Road 26.4% 10.3% 7.8% L14 Days 29.3% 20.0% 12.2%
Yovani Gallardo Orioles L2 Years 26.5% 10.4% 10.9% 2016 29.6% 12.2% 12.0% Home 28.4% 8.3% 12.5% L14 Days 31.8% 25.0% 6.8%

Batted Ball Charts – Opponent

Opponent Split Hard% HR/FB% Hd-St% Split Hard% HR/FB% Hd-St% Split Hard% HR/FB% Hd-St%
Reds Road 29.2% 10.6% 10.8% LH 28.7% 14.8% 12.4% L7Days 27.7% 11.3% 6.6%
Padres Road 33.1% 14.7% 15.8% RH 31.5% 12.4% 13.4% L7Days 39.7% 19.7% 23.4%
Indians Home 31.6% 14.7% 15.8% LH 30.3% 8.3% 13.3% L7Days 33.3% 20.0% 13.1%
Cubs Road 33.3% 16.3% 15.2% RH 31.5% 14.2% 12.9% L7Days 29.7% 18.6% 10.8%
Yankees Road 28.2% 11.0% 11.0% RH 27.3% 13.3% 10.1% L7Days 29.4% 14.5% 12.7%
Mariners Road 31.2% 15.8% 13.1% RH 32.4% 16.2% 15.7% L7Days 35.6% 21.1% 18.6%
Diamondbacks Road 32.2% 13.9% 12.7% RH 33.7% 14.0% 15.8% L7Days 39.2% 15.9% 23.4%
Rockies Home 35.1% 15.3% 18.0% RH 32.4% 14.3% 14.7% L7Days 27.1% 9.4% 10.6%
Marlins Home 30.2% 11.3% 9.1% LH 33.1% 13.1% 12.0% L7Days 33.7% 12.0% 16.5%
Pirates Home 30.3% 11.1% 10.4% LH 34.3% 13.5% 16.8% L7Days 27.5% 13.5% 8.4%
Astros Home 33.3% 16.0% 15.3% RH 34.7% 15.4% 17.5% L7Days 28.4% 19.3% 5.3%
Athletics Road 31.1% 11.6% 10.7% RH 29.9% 9.0% 10.3% L7Days 27.6% 5.6% 3.6%
Nationals Road 35.3% 15.5% 18.2% RH 32.8% 13.5% 15.7% L7Days 31.8% 23.4% 12.2%
Dodgers Home 31.5% 15.4% 13.5% RH 33.2% 13.9% 16.1% L7Days 28.1% 16.9% 9.7%
Red Sox Home 34.3% 11.3% 15.9% LH 31.8% 11.0% 11.7% L7Days 34.4% 11.8% 19.0%
Mets Home 34.8% 15.2% 13.4% RH 34.8% 14.4% 17.4% L7Days 30.1% 21.8% 8.3%
Orioles Home 34.2% 16.3% 12.8% RH 33.0% 16.7% 13.3% L7Days 32.8% 11.0% 14.2%
Twins Road 30.0% 13.7% 10.7% RH 30.6% 11.6% 12.3% L7Days 35.6% 12.8% 21.2%
Rays Road 33.5% 15.9% 15.0% RH 32.8% 14.3% 13.1% L7Days 27.3% 10.8% 10.4%
Rangers Home 28.2% 11.3% 8.4% RH 28.9% 12.7% 8.8% L7Days 31.6% 14.5% 9.1%
Giants Home 26.2% 7.3% 4.4% LH 27.7% 10.5% 5.8% L7Days 32.9% 13.5% 15.2%
Phillies Road 31.2% 12.4% 11.1% LH 25.6% 7.3% 5.6% L7Days 29.0% 22.4% 10.2%
Royals Home 30.8% 10.3% 9.3% LH 27.4% 12.9% 6.5% L7Days 24.0% 15.7% 0.0%
Angels Road 29.9% 9.6% 8.3% RH 30.7% 9.0% 11.2% L7Days 33.2% 8.9% 14.5%

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%
Adam Conley FLA 21.5% 9.6% 2.24 17.3% 10.0% 1.73
Brandon McCarthy LOS 44.4% 15.3% 2.90 44.4% 15.3% 2.90
CC Sabathia NYY 19.6% 10.5% 1.87 18.1% 12.7% 1.43
Chad Kuhl PIT 14.9% 7.0% 2.13 14.9% 7.0% 2.13
Danny Salazar CLE 28.3% 11.5% 2.46 26.0% 9.1% 2.86
Edinson Volquez KAN 17.8% 8.9% 2.00 16.2% 8.5% 1.91
Jake Peavy SFO 17.7% 10.8% 1.64 17.4% 10.9% 1.60
Jerad Eickhoff PHI 21.1% 9.9% 2.13 22.0% 10.3% 2.14
John Lamb CIN 16.4% 7.7% 2.13 22.1% 8.9% 2.48
Jon Lester CHC 24.7% 10.4% 2.38 22.0% 11.2% 1.96
Kendall Graveman OAK 15.1% 8.4% 1.80 12.7% 7.2% 1.76
Lance McCullers HOU 28.3% 13.1% 2.16 27.1% 13.8% 1.96
Logan Verrett NYM 15.8% 7.9% 2.00 13.1% 6.1% 2.15
Luis Perdomo SDG 17.9% 10.3% 1.74 21.8% 12.1% 1.80
Matt Moore TAM 21.1% 10.4% 2.03 22.2% 11.2% 1.98
Max Scherzer WAS 32.8% 15.2% 2.16 36.5% 15.7% 2.32
Nicholas Tropeano ANA 22.1% 12.2% 1.81 21.1% 6.3% 3.35
Nick Martinez TEX 7.1% 6.9% 1.03 7.5% 7.0% 1.07
Rick Porcello BOS 20.8% 7.3% 2.85 18.2% 6.2% 2.94
Ricky Nolasco MIN 19.0% 9.5% 2.00 14.3% 8.6% 1.66
Robbie Ray ARI 25.8% 10.4% 2.48 27.9% 10.0% 2.79
Tyler Anderson COL 21.3% 10.4% 2.05 21.3% 10.4% 2.05
Wade Miley SEA 16.4% 8.8% 1.86 13.0% 8.7% 1.49
Yovani Gallardo BAL 16.3% 6.2% 2.63 21.4% 7.2% 2.97


Luis Perdomo has seen his K% improve to be more in line with his SwStr% since moving to the rotation over the last month.

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
Adam Conley FLA 3.65 4.49 0.84 4.72 1.07 3.96 0.31 3.41 4.92 1.51 5.41 2 4.55 1.14
Brandon McCarthy LOS 0 1.6 1.6 1.25 1.25 0.57 0.57 0 1.6 1.6 1.25 1.25 0.57 0.57
CC Sabathia NYY 3.48 4.55 1.07 4.63 1.15 3.8 0.32 5.04 4.48 -0.56 4.54 -0.5 4.43 -0.61
Chad Kuhl PIT 4.09 5.46 1.37 5.74 1.65 4.17 0.08 4.09 5.46 1.37 5.74 1.65 4.17 0.08
Danny Salazar CLE 2.36 3.85 1.49 3.73 1.37 3.31 0.95 2.64 3.85 1.21 3.7 1.06 3.86 1.22
Edinson Volquez KAN 4.87 4.5 -0.37 4.42 -0.45 4.1 -0.77 6.82 4.5 -2.32 4.56 -2.26 4.06 -2.76
Jake Peavy SFO 5.14 4.75 -0.39 5.06 -0.08 4.09 -1.05 2.48 5.07 2.59 5.49 3.01 3.55 1.07
Jerad Eickhoff PHI 3.3 4.07 0.77 4.08 0.78 3.95 0.65 2.37 4.37 2 4.64 2.27 4.36 1.99
John Lamb CIN 5.43 5.16 -0.27 5.01 -0.42 5.62 0.19 6.48 4.76 -1.72 4.47 -2.01 6.49 0.01
Jon Lester CHC 2.67 3.58 0.91 3.5 0.83 3.69 1.02 4.34 3.93 -0.41 3.97 -0.37 5.48 1.14
Kendall Graveman OAK 4.57 4.75 0.18 4.69 0.12 4.88 0.31 2.76 4.7 1.94 4.77 2.01 3.55 0.79
Lance McCullers HOU 3.57 3.87 0.3 3.3 -0.27 2.63 -0.94 2.84 3.65 0.81 3.25 0.41 2.19 -0.65
Logan Verrett NYM 4.01 4.99 0.98 4.96 0.95 5.57 1.56 6.23 5.67 -0.56 5.21 -1.02 9.79 3.56
Luis Perdomo SDG 7.93 4.01 -3.92 4.05 -3.88 5.06 -2.87 5.34 3.05 -2.29 3.03 -2.31 3.91 -1.43
Matt Moore TAM 4.54 4.23 -0.31 4.51 -0.03 4.53 -0.01 2.43 4.17 1.74 4.63 2.2 3.53 1.1
Max Scherzer WAS 3.21 2.97 -0.24 3.25 0.04 3.71 0.5 1.83 2.47 0.64 2.75 0.92 2.69 0.86
Nicholas Tropeano ANA 3.28 4.71 1.43 5.05 1.77 4.9 1.62 3.6 5.06 1.46 5.53 1.93 7.37 3.77
Nick Martinez TEX 6.45 6.66 0.21 7.27 0.82 7.34 0.89 6.14 6.46 0.32 6.92 0.78 6.99 0.85
Rick Porcello BOS 3.82 3.88 0.06 4 0.18 3.88 0.06 3.26 4 0.74 4.04 0.78 2.81 -0.45
Ricky Nolasco MIN 5.26 4.22 -1.04 4.29 -0.97 4 -1.26 5.84 4.92 -0.92 4.97 -0.87 4.5 -1.34
Robbie Ray ARI 4.78 3.79 -0.99 3.62 -1.16 3.86 -0.92 4.06 3.1 -0.96 3.09 -0.97 2.46 -1.6
Tyler Anderson COL 3.03 3.21 0.18 2.99 -0.04 3.34 0.31 3.03 3.22 0.19 2.99 -0.04 3.34 0.31
Wade Miley SEA 5.36 4.68 -0.68 4.6 -0.76 5.01 -0.35 5.74 4.85 -0.89 4.57 -1.17 5.66 -0.08
Yovani Gallardo BAL 6.1 5.33 -0.77 5.35 -0.75 5.24 -0.86 5.31 5.03 -0.28 4.98 -0.33 6.27 0.96


Jon Lester is now separated from his estimators by a run with most of it stemming from his 85.1 LOB% which took a bit of a beating in his last start, but is still very high. His .265 BABIP is in line with the defense and his profile is fine. He has now allowed 14 HRs and hasn’t allowed more than 19 since 2012, but everybody’s allowing more this year it seems.

Luis Perdomo has a .402 BABIP and although he’s induced just one popup and a 22.6 LD% is just above average, that’s ridiculous. He’s generating so many ground balls with average contact management. Ten of the 42 fly balls he’s allowed have left the yard. All of this has led to a 62.6 LOB%. His peripherals suggest an All Star quality performance over the last month.

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
Adam Conley FLA 0.300 0.294 -0.006 0.208 4.8% 88.0%
Brandon McCarthy LOS 0.278 0.222 -0.056 0.111 0.0% 70.6%
CC Sabathia NYY 0.301 0.292 -0.009 0.178 17.2% 86.1%
Chad Kuhl PIT 0.298 0.286 -0.012 0.171 0.0% 92.3%
Danny Salazar CLE 0.278 0.261 -0.017 0.163 11.5% 83.1%
Edinson Volquez KAN 0.291 0.305 0.014 0.169 6.2% 88.3%
Jake Peavy SFO 0.290 0.321 0.031 0.178 10.9% 86.7%
Jerad Eickhoff PHI 0.308 0.293 -0.015 0.212 14.7% 88.5%
John Lamb CIN 0.289 0.295 0.006 0.211 11.4% 84.2%
Jon Lester CHC 0.258 0.265 0.007 0.191 13.5% 87.4%
Kendall Graveman OAK 0.311 0.313 0.002 0.192 8.4% 89.8%
Lance McCullers HOU 0.308 0.382 0.074 0.207 13.8% 87.9%
Logan Verrett NYM 0.306 0.289 -0.017 0.227 1.9% 91.5%
Luis Perdomo SDG 0.304 0.402 0.098 0.226 2.4% 87.7%
Matt Moore TAM 0.306 0.298 -0.008 0.197 9.2% 83.9%
Max Scherzer WAS 0.290 0.243 -0.047 0.185 14.7% 77.3%
Nicholas Tropeano ANA 0.304 0.315 0.011 0.181 12.0% 84.3%
Nick Martinez TEX 0.289 0.321 0.032 0.141 6.7% 87.1%
Rick Porcello BOS 0.303 0.299 -0.004 0.187 9.3% 88.7%
Ricky Nolasco MIN 0.321 0.328 0.007 0.184 6.3% 89.8%
Robbie Ray ARI 0.310 0.364 0.054 0.242 5.0% 85.0%
Tyler Anderson COL 0.317 0.310 -0.007 0.184 0.0% 84.7%
Wade Miley SEA 0.294 0.305 0.011 0.21 6.3% 87.8%
Yovani Gallardo BAL 0.308 0.319 0.011 0.218 2.0% 90.9%


Max Scherzer has a low BABIP with a great profile and indicators, which has helped his 16.3 HR/FB not affect his ERA, though an 84.8 LOB% is probably still too high. He’s induced 19 popups (free outs) already. The BABIP can’t be debated much.

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.

The dynamic is very interesting tonight, especially on DraftKings. Between $6.2 and $10.3K are just two pitchers. One is pitching in Colorado and is in just his second start back after Tommy John surgery. Not all of the low priced arms are without merit though.

We’ve got two pitchers up top with a GB rate over 60% and above average strikeout rate over a full complement of starts over the last month. They’re two of the four lowest priced pitchers on the board.

Value Tier One

Tyler Anderson – Bet you didn’t expect to see a Colorado pitcher in the top spot, did you? Small and oddly priced slates lead to strange calls. Not that he doesn’t merit it mind you. A guy with a 16.4 K-BB% and 60+ GB% against an offense the caliber of the Phillies against LHP this year would be worth close to $10K if not more in a neutral park, so he still easily covers his cost pitching anywhere near that good in a terrible park tonight.

Luis Perdomo probably should not be expected to keep all of this up, especially such a high ground ball rate, but that goes even more so for his extreme BABIP and HR/FB. I fail to understand how a guy who is either missing bats or getting ground balls over 70% of the time is getting in this much trouble. It began to turn around a bit in his last start, and finally in a good spot at barely above the minimum on DraftKings, he’s my top point per dollar play there and probably even a decent contrarian play on FanDuel for even $2.7K more.

Value Tier Two

Max Scherzer (1) – The only question is one of price. Occasionally, the HRs get out of hand, but more often than not, he’ll run up a ton of fantasy points. What else is there to say? There’s a decent sized difference between he and Lester, so I probably can’t even tell you to pay up if considering one other the other, but players probably need to make an effort to have significant exposure to this arm.

Value Tier Three

Jon Lester (2) was smashed in his last start and we can consider that a freak occurrence for now, but he has been allowing more HRs recently. The good news is that even though he faces a good offense at home and vs LHP, it’s in a park that greatly suppresses RH power and the Pirates do have a high strikeout rate against lefties. Fading Lester, especially on two pitcher sites, was going to be very difficult with multiple lineups anyway.

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.

Brandon McCarthy was about as dominant as one could be in their first start back from Tommy John surgery and is in another good spot here. The biggest concern would be a high price tag on DraftKings and any imposed limitations for a guy who has missed over a year. We know McCarthy isn’t as good as he showed in that first start back, but can be really good when he’s on and we may have to consider it on two pitcher sites considering how the evening board is priced with the only pitcher between $6.2K and $10.3K playing in Colorado.

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.