Advanced Stats - Pitching: Tuesday, June 27th

While Max Scherzer is always a pleasure to find on any slate, what the rest of this board lacks in high end arms, it may make up for in mid-tier value and overall usefulness. Nearly half of tonight’s arms could probably be considered on most nights, but on a board so deep we might even avoid some talented arms in difficult matchups.

As always, don’t forget to check lineups, umpire assignments, line movement, ownership projections and the weather forecast 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. All of these things are 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+
Aaron Nola PHI 2.4 3.58 5.74 51.3% 0.89 3.55 3.67 SEA 112 107 121
Alex Cobb TAM 0.5 4.68 5.76 47.1% 0.97 4.77 4.55 PIT 92 92 84
Carlos Martinez STL -7.8 3.77 6.3 54.3% 1.13 3.82 4.22 ARI 114 105 104
Dan Straily MIA 4.6 4.47 5.76 34.3% 0.94 4.98 2.36 NYM 118 104 136
Drew Pomeranz BOS 2.7 3.66 5.42 44.7% 1.13 3.51 4.64 MIN 92 91 77
Hector Santiago MIN 3.9 5.06 5.38 32.8% 1.13 5.69 BOS 94 101 87
Jake Arrieta CHC 4.3 3.5 6.46 53.2% 1.01 3.82 3.53 WAS 120 111 128
James Paxton SEA 7.9 3.67 5.59 46.3% 0.89 3.52 4.17 PHI 71 82 69
Jeff Hoffman COL 1.1 4.43 5.1 44.2% 0.93 3.93 5.94 SFO 74 80 96
Jesse Chavez ANA -1.5 4.24 5.45 42.8% 0.89 4.94 4.92 LOS 124 109 152
Jhoulys Chacin SDG -9.1 4.35 5.42 49.9% 0.91 3.9 4.2 ATL 97 93 83
Joe Biagini TOR -2.3 3.57 4.89 55.1% 1.03 3.59 4.78 BAL 94 96 113
Jose Quintana CHW -0.3 3.88 6.39 42.9% 0.98 3.75 2.97 NYY 103 97 80
Junior Guerra MIL -3.4 4.75 5.89 43.6% 1.02 4.56 6.43 CIN 105 100 93
Justin Verlander DET 2.6 3.8 6.52 33.9% 0.98 4.08 3.63 KAN 85 82 74
Kenta Maeda LOS 2 3.76 5.42 41.4% 0.89 3.86 3.44 ANA 83 94 111
Kevin Gausman BAL -2.7 4.1 5.73 43.6% 1.03 4.33 3.7 TOR 95 93 104
Luis Severino NYY 5.8 3.74 5.48 50.6% 0.98 3.61 4.4 CHW 97 83 95
Matt Cain SFO 0.6 4.99 5.1 39.0% 0.93 4.56 5.78 COL 82 79 29
Matt Strahm KAN 7.8 4.02 4. 41.0% 0.98 4.99 4.46 DET 116 108 95
Max Scherzer WAS 0 2.86 6.8 35.5% 1.01 2.92 2.54 CHC 91 89 102
Mike Clevinger CLE -4.5 4.62 4.57 38.3% 1.09 4.8 5.28 TEX 83 97 119
Mike Fiers HOU -1.9 4.24 5.73 42.7% 0.94 3.87 4.25 OAK 86 104 121
Robert Gsellman NYM -1.5 4.35 5.5 53.5% 0.94 4.81 6.04 MIA 91 92 25
Sean Manaea OAK -14.2 3.98 5.76 0.451 0.94 3.75 3.49 HOU 116 113 134
Sean Newcomb ATL -0.6 4.81 6.03 0.491 0.91 5.58 SDG 85 70 68
Taijuan Walker ARI -7.4 3.98 5.65 0.43 1.13 3.98 3.77 STL 92 99 110
Tim Adleman CIN 10.3 4.78 5.37 0.372 1.02 5.13 5.48 MIL 94 96 103
Trevor Williams PIT -6.8 4.68 5.02 0.429 0.97 5.33 4.45 TAM 102 117 159
Tyson Ross TEX 4.5 3.39 5.72 0.585 1.09 5.07 CLE 102 106 110


Aaron Nola has had mixed results, showing well in his last effort (7.1 IP – 1 ER – 8 K) and now has a 49.1 GB%, 3.5 Hard-Soft% and 15.2 K-BB% on the season. That’s an above average pitcher. He’ll need to face a good offense with a DH tonight, but in a neutralizing park in Seattle.

Drew Pomeranz had been rolling and still hasn’t allowed more than two ERs in seven of his last eight starts, but has struck out just 11 of his last 71 batters. He did have an 11.8 SwStr% in his last start though and previously struggled to miss bats against Detroit and Houston, offenses a lot of LHPs have trouble dealing with. His 24.6 Soft% would be third in baseball with enough innings to qualify, behind only a knuckleballer and Kershaw, though it seems to be either extreme with him (37.2% 95+ mph aEV) with very little middling contact. The extremely positive run environment enhances a Minnesota offense that that has been dropping. Their elite walk rate (10.3%) has been higher than their HR rate (9.6 HR/FB) vs LHP.

James Paxton allowed at least three ERs for the fourth straight start last time out, but his eight strikeouts were his highest total in six starts. It was great news to see his velocity and SwStr% bounce back up after decline in the month of June had led to injury speculation (at least from me). He still hasn’t gone more than 5.1 innings since April, but did get over 100 pitches in his last start, so it’s more a performance limitation than a workload one. For the season, he’s been able to avoid barrels (3% per BBE) and kept 72% of his contact below 95 mph off the bat, which is a nice compliment to his 18.5 K-BB% when facing a poor Philadelphia offense in a great park. One might look at the 15.0 HR/FB and 12.4 K-BB% vs LHP and think the Phillies may be in line to improve on an 82 wRC+ vs LHP and while that may be true eventually, one must also consider this pitcher’s reverse platoon splits (RHBs .285 wOBA career).

Joe Biagini has struggled in recent starts (10 ER – 6.2 IP), though he did strike out five of 25 batters with a 55.6 GB% in his last start. All was not rosy beneath the results though with a 52.6 Hard%. Through nine starts, he retains a 58.2 GB% and 13.2 K-BB% (9.7 SwStr%), but those numbers have been declining with more exposure to the league, so our time with him may not be long if he falters again tonight. For now, we’ll continue to bet on that profile against an under-achieving Baltimore offense (18.0 K-BB% on the road, 16.1 K-BB% vs RHP, 19.2 K-BB% last seven days).

Jose Quintana is coming off back-to-back strong starts (13.2 IP – 2 ER – 2 BB – 14 K) in Toronto and Minnesota, though his SwStr rate has been below 9% in each of those starts. His ground ball rate has been above 50% in three of his last four starts. He faces a Yankee offense that has been just average on the road and against LHP.

Justin Verlander struck out 11 of 22 Mariners in his last start, but an 11.2 BB% keeps his K-BB at 11.2% for the season. Now we’ll get to some different numbers. His 37.8 Hard% is a concern with just a 34 GB%, as his Statcast numbers don’t paint an optimistic picture either. However, he might survive a more spacious park in Kansas City. The Royals do not accept walks and have limited power against RHP.

Kenta Maeda has made two of his four June appearances in relief. There’s a bit of uncertainty with his workload here, but he retains an elite SwStr% with a 3.4 Hard-Soft% on the year. His 83.4 mph aEV and 25.1% 95+ mph EV are both best on the board. He faces a below average offense without either Trout or a DH in an extremely negative run environment.

Luis Severino has been roughed up in two straight starts (12 IP – 10 R – 6 BB – 11 K – 53 BF) with a below average SwStr% for just the second and third times this season, though with some positive qualities as well (63.9 GB% and 0.0 Hard-Soft%). He’s still just one of nine pitchers with a 20 point gap in K and BB rates (20.1%), while his 56.1 GB% ranks second among that group and sixth overall. He has a quality matchup against the White Sox (16.6 K-BB% vs RHP) with a bit of a park upgrade.

Max Scherzer has double digit strikeouts in six straight starts. The Cubs are a favorable matchup on the road against RHP.

Sean Manaea has a 14.7 SwStr% behind only Scherzer on this board. He’s had a run of tough luck facing the Yankees and Houston in his last two starts and travels to face Houston again tonight. He’s allowed eight runs in 12 innings in those starts, but struck out 15 of 54 batters. His 40.7% 95+ mph EV is worst on the board, but his 4.8% Barrels/BBE is one of the better marks.

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 (.293 BABIP – 72.9 LOB% – 14.1 HR/FB)

Taijuan Walker (.308 – 73.4% – 8.5) has struck out 14 of 49 batters (11 IP – 4 ER – 5 BB) in two starts returning from injury in Detroit and Colorado. It doesn’t get much easier in his home park, though the St Louis offense hasn’t been very potent this season. They do have a 23.3 HR/FB over the last week. If he continues being serviceable in these spots, I look forward to the first healthy decent spot he finds himself in.

Dan Straily (.259 – 75.6% – 10.2) should have trouble retaining both the low BABIP and HR rate with a 34.2 Hard%, although his 27% 95+ mph aEV suggests the contact issue isn’t that bad. His career BABIP is .255, so I’ll go with the HR rate climbing, but not necessarily in his nice new home park. He is at home tonight, but facing a quality offense on the road this season.

Carlos Martinez (.256 – 76.8% – 12.3) has a 19.0 K-BB% and is a matchup omission on a deep slate. He might be in the worst spot on the board in Arizona, who are third best against ground ball pitchers (122 sOPS+) and have a 17.2 HR/FB at home. There should also be a bit of skepticism towards his K% and SwStr% relationship over the last month.

Mike Fiers (.267 – 85.8% – 23.7) has a .262 BABIP and 80.6 LOB% over the last month, so mostly the same, right? He hasn’t allowed a HR though. That said, he also has a 62.2 GB%, -2.3 Hard-Soft%, 22.8 K% and 11.5 SwStr%, so there’s certainly some interesting stuff going on there and the A’s do strike out a lot. I don’t think anybody will be on him tonight either. The day I include him in the wish list is the day he gives up six runs though. I’m doing this for you.

Tim Adleman (.266 – 76.2% – 14.8) has a .223 BABIP and 90.2 LOB% over the last month. He has missed bats at a reasonable rate and is in a high strikeout spot against the Brewers (24.6 K% vs RHP), but also a dangerous one (18.8 HR/FB vs RHP).

Alex Cobb (.317 – 73.6% – 10.5) has a 26.1 Hard-Soft% with a below average 9.7 K-BB%.

Junior Guerra (.212 – 88% – 15.2)

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

Jake Arrieta is one of a few perfect examples of those tier five omissions tonight. Despite only striking out three in his last start, he ironically had one of his best starts of the season by results in Miami (7 IP – 1 ER). His 17.8 K-BB% still suggests an above average pitcher with some value at least at his $7.5K DraftKings price, though FanDuel ($9.4K) could be a bit aggressive. He’s in one of the toughest spots on the board in Washington tonight, though this offense was handled by Eddie Butler last night.

Jeff Hoffman got blasted for the first time this year against the Diamondbacks at Coors. However, he’s now struck out just four of his last 46 batters (all at home). Perhaps he’ll return better results with a massive park upgrade in San Francisco. What the Giants lack in power, they sometimes make up by frustrating daily fantasy opposers with consistent contact.

Sean Newcomb struck out seven in his first start with just two walks. Walks plagued him in his second start. He walked just one in his last start, but only struck out three for the second straight outing. We know he can miss bats from his minor league track record, but walks were a huge problem. The Padres have a 24.9 K% vs LHP.

Matt Strahm has struck out seven of 35 batters in two starts, but lasted only three innings in his second one, allowing five ERs with one-third of his contact hit hard and only one-quarter of it on the ground. The lefty is barely above the minimum on DraftKings, but may have a difficult time with Detroit.

Jhoulys Chacin has extreme home/road splits this year with a 1.72 ERA, 14.3 K-BB%, and 6.4 Hard-Soft% at home. He also has a .177 BABIP and 90.6 LOB%. He may still be worth a shot here on most days against a below average opponent, but probably has less value beyond his price tag than a lot of other pitchers tonight.

Mike Clevinger misses enough bats to be worth a desperate dart through on a poor slate. His 12.8 BB% is what makes him not worth that on this one.

Kevin Gausman

Robert Gsellman

Jesse Chavez

Hector Santiago

Tyson Ross

Trevor Williams

Matt Cain

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%
Aaron Nola Phillies L2 Years 23.4% 6.3% Road 22.2% 6.3% L14 Days 24.6% 7.0%
Alex Cobb Rays L2 Years 16.2% 6.7% Road 14.0% 7.1% L14 Days 14.8% 6.6%
Carlos Martinez Cardinals L2 Years 23.4% 8.2% Road 24.9% 11.4% L14 Days 25.5% 10.6%
Dan Straily Marlins L2 Years 21.7% 9.0% Home 21.7% 9.8% L14 Days 33.3% 2.4%
Drew Pomeranz Red Sox L2 Years 26.8% 8.6% Home 27.7% 8.6% L14 Days 18.8% 8.3%
Hector Santiago Twins L2 Years 18.3% 9.9% Road 17.3% 11.5% L14 Days
Jake Arrieta Cubs L2 Years 25.2% 7.7% Road 21.8% 7.3% L14 Days 21.3% 4.3%
James Paxton Mariners L2 Years 24.2% 6.5% Home 24.4% 6.5% L14 Days 26.1% 10.9%
Jeff Hoffman Rockies L2 Years 20.3% 8.5% Road 23.3% 7.6% L14 Days 8.7% 10.9%
Jesse Chavez Angels L2 Years 19.4% 7.3% Road 17.9% 8.4% L14 Days 14.3% 4.1%
Jhoulys Chacin Padres L2 Years 19.3% 8.6% Home 21.0% 7.1% L14 Days 19.6% 7.8%
Joe Biagini Blue Jays L2 Years 20.7% 5.9% Home 20.9% 4.8% L14 Days 13.5% 5.4%
Jose Quintana White Sox L2 Years 21.9% 5.9% Home 23.7% 5.3% L14 Days 28.6% 4.1%
Junior Guerra Brewers L2 Years 19.4% 9.9% Road 20.2% 10.1% L14 Days 17.0% 17.0%
Justin Verlander Tigers L2 Years 25.3% 7.3% Home 27.7% 7.0% L14 Days 32.7% 11.5%
Kenta Maeda Dodgers L2 Years 25.0% 7.0% Home 25.4% 6.8% L14 Days 26.1% 4.4%
Kevin Gausman Orioles L2 Years 21.2% 7.1% Road 20.6% 7.8% L14 Days 31.4% 9.8%
Luis Severino Yankees L2 Years 23.6% 7.7% Road 24.1% 8.3% L14 Days 20.8% 11.3%
Matt Cain Giants L2 Years 15.6% 8.2% Home 17.4% 8.5% L14 Days 8.3% 4.2%
Matt Strahm Royals L2 Years 29.0% 14.3% Road 25.6% 17.6% L14 Days 20.0% 5.7%
Max Scherzer Nationals L2 Years 32.0% 5.5% Home 34.2% 5.7% L14 Days 36.2% 5.2%
Mike Clevinger Indians L2 Years 23.7% 12.6% Home 23.0% 14.1% L14 Days 20.5% 12.8%
Mike Fiers Astros L2 Years 20.0% 7.1% Home 19.9% 5.7% L14 Days 17.7% 9.8%
Robert Gsellman Mets L2 Years 18.1% 7.8% Road 16.0% 9.4% L14 Days 9.4% 9.4%
Sean Manaea Athletics L2 Years 22.8% 7.2% Road 23.6% 6.1% L14 Days 27.8% 7.4%
Sean Newcomb Braves L2 Years 17.8% 9.6% Road L14 Days 12.8% 10.6%
Taijuan Walker Diamondbacks L2 Years 21.4% 6.1% Home 22.1% 6.5% L14 Days 28.6% 10.2%
Tim Adleman Reds L2 Years 18.8% 8.3% Home 20.7% 9.2% L14 Days 21.6% 15.7%
Trevor Williams Pirates L2 Years 16.6% 7.0% Home 14.3% 7.5% L14 Days 21.7% 8.7%
Tyson Ross Rangers L2 Years 25.4% 9.3% Road L14 Days 18.0% 10.3%

K/BB Chart – Opponent

Opponent Split K% BB% Split K% BB% Split K% BB%
Mariners Home 20.6% 9.6% RH 21.3% 8.3% L7Days 23.9% 10.4%
Pirates Home 18.6% 9.2% RH 18.6% 8.6% L7Days 19.7% 8.1%
Diamondbacks Home 21.8% 9.2% RH 22.2% 9.1% L7Days 21.1% 8.8%
Mets Road 20.2% 9.3% RH 19.1% 9.5% L7Days 20.0% 9.8%
Twins Road 22.0% 8.8% LH 20.4% 10.3% L7Days 26.2% 8.2%
Red Sox Home 17.3% 9.4% LH 16.4% 9.3% L7Days 21.5% 6.4%
Nationals Home 19.3% 9.0% RH 19.4% 9.1% L7Days 20.7% 10.8%
Phillies Road 23.5% 7.1% LH 20.4% 8.0% L7Days 20.9% 7.6%
Giants Home 19.4% 6.6% RH 19.2% 7.6% L7Days 16.7% 6.5%
Dodgers Home 22.3% 10.7% RH 23.3% 10.7% L7Days 20.7% 16.7%
Braves Road 19.3% 7.7% RH 19.3% 7.5% L7Days 19.3% 4.9%
Orioles Road 24.6% 6.4% RH 22.8% 6.7% L7Days 25.2% 6.0%
Yankees Road 22.0% 9.0% LH 23.3% 10.6% L7Days 22.6% 8.8%
Reds Home 21.7% 8.6% RH 20.8% 8.3% L7Days 20.8% 6.4%
Royals Road 21.5% 6.4% RH 21.2% 6.5% L7Days 19.9% 7.0%
Angels Road 21.7% 9.2% RH 20.2% 8.4% L7Days 24.2% 6.3%
Blue Jays Home 19.7% 8.1% RH 20.3% 7.9% L7Days 16.4% 9.2%
White Sox Home 21.5% 7.7% RH 22.7% 6.1% L7Days 22.0% 4.9%
Rockies Road 23.8% 7.6% RH 22.2% 7.9% L7Days 27.3% 6.0%
Tigers Home 20.0% 9.2% LH 19.8% 8.2% L7Days 23.2% 7.1%
Cubs Road 22.8% 10.2% RH 22.3% 9.2% L7Days 21.6% 10.6%
Rangers Road 27.1% 8.1% RH 23.8% 8.9% L7Days 28.2% 9.4%
Athletics Road 25.4% 8.6% RH 24.9% 9.1% L7Days 23.8% 10.7%
Marlins Home 20.0% 8.0% RH 20.4% 6.7% L7Days 24.1% 4.2%
Astros Home 17.0% 7.8% LH 17.4% 9.8% L7Days 16.6% 9.3%
Padres Home 24.3% 8.6% LH 24.9% 9.2% L7Days 27.3% 11.9%
Cardinals Road 21.4% 8.4% RH 21.2% 8.5% L7Days 25.0% 9.8%
Brewers Road 23.4% 8.7% RH 24.6% 8.7% L7Days 23.2% 7.6%
Rays Road 26.6% 9.3% RH 25.0% 9.2% L7Days 20.9% 12.8%
Indians Home 18.6% 9.6% RH 19.9% 9.2% L7Days 14.9% 10.8%

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%
Aaron Nola Phillies L2 Years 28.7% 13.9% 6.4% 2017 28.2% 13.7% 3.5% Road 29.1% 5.7% 6.8% L14 Days 28.2% 22.2% 0.0%
Alex Cobb Rays L2 Years 37.2% 12.7% 23.1% 2017 39.3% 10.5% 26.1% Road 35.0% 12.9% 21.2% L14 Days 44.7% 0.0% 29.8%
Carlos Martinez Cardinals L2 Years 30.0% 10.0% 9.8% 2017 32.9% 12.3% 12.7% Road 34.1% 10.2% 15.7% L14 Days 36.7% 16.7% 30.0%
Dan Straily Marlins L2 Years 32.5% 11.4% 15.7% 2017 34.2% 10.2% 13.0% Home 34.0% 8.4% 18.4% L14 Days 29.6% 12.5% 3.7%
Drew Pomeranz Red Sox L2 Years 31.1% 13.9% 9.8% 2017 32.4% 15.5% 7.8% Home 34.5% 17.9% 16.4% L14 Days 17.1% 9.1% -8.6%
Hector Santiago Twins L2 Years 36.3% 11.9% 19.6% 2017 36.7% 13.7% 19.3% Road 35.4% 10.2% 16.5% L14 Days
Jake Arrieta Cubs L2 Years 25.2% 11.0% 2.5% 2017 32.4% 16.5% 11.6% Road 30.5% 16.5% 8.8% L14 Days 32.4% 28.6% 8.9%
James Paxton Mariners L2 Years 32.4% 8.1% 17.5% 2017 31.6% 7.3% 15.5% Home 30.7% 7.8% 16.3% L14 Days 48.3% 28.6% 31.1%
Jeff Hoffman Rockies L2 Years 34.0% 13.9% 14.9% 2017 33.7% 7.1% 15.9% Road 32.1% 16.2% 11.0% L14 Days 35.1% 0.0% 16.2%
Jesse Chavez Angels L2 Years 33.1% 17.1% 15.3% 2017 35.4% 19.0% 19.2% Road 40.0% 17.7% 25.6% L14 Days 30.0% 14.3% 5.0%
Jhoulys Chacin Padres L2 Years 32.0% 13.7% 13.2% 2017 30.6% 17.6% 10.8% Home 28.3% 8.0% 7.7% L14 Days 28.6% 33.3% 2.9%
Joe Biagini Blue Jays L2 Years 25.7% 7.5% 7.5% 2017 28.7% 9.6% 9.9% Home 27.8% 5.8% 7.6% L14 Days 50.0% 22.2% 33.3%
Jose Quintana White Sox L2 Years 32.1% 9.9% 14.4% 2017 31.4% 12.9% 13.5% Home 35.2% 16.3% 18.3% L14 Days 42.4% 25.0% 39.4%
Junior Guerra Brewers L2 Years 32.6% 10.2% 12.2% 2017 28.8% 15.2% 7.2% Road 31.6% 9.2% 11.3% L14 Days 29.4% 18.8% 5.9%
Justin Verlander Tigers L2 Years 28.9% 9.0% 10.2% 2017 37.8% 8.9% 23.2% Home 32.9% 10.1% 14.1% L14 Days 34.5% 0.0% 24.2%
Kenta Maeda Dodgers L2 Years 28.1% 12.4% 7.5% 2017 25.7% 13.9% 3.4% Home 26.8% 10.5% 7.0% L14 Days 26.7% 0.0% -6.6%
Kevin Gausman Orioles L2 Years 31.1% 15.0% 12.1% 2017 34.4% 14.6% 17.5% Road 33.3% 17.2% 16.6% L14 Days 40.0% 14.3% 30.0%
Luis Severino Yankees L2 Years 28.0% 16.4% 5.6% 2017 28.0% 15.6% 7.3% Road 27.6% 8.6% 8.5% L14 Days 25.0% 11.1% 0.0%
Matt Cain Giants L2 Years 33.4% 14.2% 15.0% 2017 33.2% 12.9% 17.5% Home 31.5% 12.9% 12.4% L14 Days 31.0% 20.0% 16.7%
Matt Strahm Royals L2 Years 28.9% 9.3% 8.2% 2017 28.0% 13.3% 8.0% Road 33.3% 12.0% 15.9% L14 Days 30.8% 0.0% 15.4%
Max Scherzer Nationals L2 Years 29.0% 12.7% 7.8% 2017 25.6% 11.3% 5.9% Home 25.9% 10.8% 5.7% L14 Days 16.7% 8.3% -3.3%
Mike Clevinger Indians L2 Years 30.9% 13.7% 13.7% 2017 30.4% 14.6% 14.7% Home 32.5% 12.8% 15.0% L14 Days 29.2% 9.1% 16.7%
Mike Fiers Astros L2 Years 31.4% 15.8% 12.8% 2017 27.9% 23.7% 8.6% Home 33.3% 15.6% 14.6% L14 Days 17.1% 0.0% -2.9%
Robert Gsellman Mets L2 Years 32.0% 14.4% 13.2% 2017 33.9% 18.8% 14.8% Road 35.0% 15.6% 19.1% L14 Days 41.9% 37.5% 32.6%
Sean Manaea Athletics L2 Years 34.6% 12.9% 16.8% 2017 37.0% 10.9% 20.6% Road 36.0% 16.1% 16.1% L14 Days 42.9% 20.0% 37.2%
Sean Newcomb Braves L2 Years 22.6% 6.7% 1.8% 2017 22.6% 6.7% 1.8% Road L14 Days 30.6% 10.0% 11.2%
Taijuan Walker Diamondbacks L2 Years 30.6% 14.3% 12.1% 2017 34.8% 8.5% 18.8% Home 30.3% 16.1% 11.2% L14 Days 43.3% 11.1% 30.0%
Tim Adleman Reds L2 Years 33.5% 14.2% 18.4% 2017 31.5% 14.8% 15.3% Home 33.7% 15.3% 17.8% L14 Days 48.4% 16.7% 29.0%
Trevor Williams Pirates L2 Years 30.2% 13.9% 6.4% 2017 30.0% 10.6% 4.7% Home 33.0% 7.3% 8.9% L14 Days 34.4% 0.0% 9.4%
Tyson Ross Rangers L2 Years 25.4% 10.0% 6.0% 2017 39.3% 11.1% 35.7% Road L14 Days 39.3% 11.1% 35.7%

Batted Ball Charts – Opponent

Opponent Split Hard% HR/FB% Hd-St% Split Hard% HR/FB% Hd-St% Split Hard% HR/FB% Hd-St%
Mariners Home 29.7% 12.2% 10.1% RH 31.4% 12.1% 13.3% L7Days 33.3% 14.8% 14.9%
Pirates Home 29.4% 9.8% 8.1% RH 30.2% 10.9% 8.4% L7Days 28.4% 16.7% 5.2%
Diamondbacks Home 39.0% 17.2% 25.9% RH 36.3% 16.0% 19.4% L7Days 33.7% 12.3% 16.3%
Mets Road 37.4% 16.8% 19.6% RH 35.6% 13.7% 18.3% L7Days 36.3% 13.3% 16.1%
Twins Road 31.7% 13.6% 14.5% LH 30.9% 9.6% 12.6% L7Days 33.9% 14.5% 14.3%
Red Sox Home 38.2% 8.7% 20.8% LH 33.7% 10.1% 9.9% L7Days 37.2% 14.8% 19.9%
Nationals Home 32.7% 15.6% 16.3% RH 31.6% 14.8% 14.3% L7Days 36.6% 16.7% 20.9%
Phillies Road 28.7% 10.1% 7.0% LH 29.4% 15.0% 9.5% L7Days 29.4% 9.6% 7.1%
Giants Home 25.1% 6.0% 3.3% RH 28.1% 9.2% 5.7% L7Days 30.5% 9.5% 10.5%
Dodgers Home 36.2% 18.3% 21.3% RH 35.1% 15.6% 20.3% L7Days 38.4% 23.5% 21.0%
Braves Road 32.2% 12.9% 14.3% RH 31.0% 11.9% 12.2% L7Days 23.7% 16.7% -6.5%
Orioles Road 35.0% 14.1% 16.0% RH 31.0% 15.7% 10.5% L7Days 40.0% 19.6% 19.3%
Yankees Road 31.0% 13.3% 12.9% LH 29.4% 13.6% 8.5% L7Days 26.6% 15.6% 5.1%
Reds Home 29.1% 15.9% 7.8% RH 29.3% 13.9% 9.1% L7Days 33.1% 7.9% 17.7%
Royals Road 32.4% 15.4% 13.2% RH 32.7% 12.4% 13.6% L7Days 30.4% 9.1% 8.0%
Angels Road 32.4% 10.8% 12.9% RH 30.7% 13.3% 10.9% L7Days 30.8% 11.3% 11.3%
Blue Jays Home 29.9% 14.4% 11.0% RH 31.3% 15.2% 11.6% L7Days 29.9% 7.3% 12.7%
White Sox Home 29.1% 12.7% 8.3% RH 31.4% 13.2% 12.8% L7Days 32.1% 16.7% 14.2%
Rockies Road 29.1% 11.7% 8.7% RH 29.0% 12.7% 8.9% L7Days 23.5% 6.8% -1.2%
Tigers Home 49.0% 13.8% 35.7% LH 42.0% 16.4% 25.4% L7Days 41.7% 13.8% 19.9%
Cubs Road 29.0% 13.1% 8.3% RH 30.0% 13.6% 12.1% L7Days 28.4% 12.7% 6.8%
Rangers Road 31.9% 16.0% 10.8% RH 34.0% 16.9% 13.9% L7Days 44.8% 28.1% 27.6%
Athletics Road 35.8% 11.9% 17.2% RH 34.3% 14.8% 17.7% L7Days 31.9% 16.7% 12.8%
Marlins Home 31.8% 16.3% 10.0% RH 31.2% 14.4% 11.0% L7Days 26.5% 14.7% 0.0%
Astros Home 29.8% 16.2% 11.7% LH 28.2% 15.7% 7.6% L7Days 41.3% 16.4% 21.7%
Padres Home 27.9% 13.2% 5.5% LH 30.2% 12.4% 8.5% L7Days 22.6% 12.5% -6.7%
Cardinals Road 32.8% 14.8% 15.3% RH 31.4% 14.4% 12.0% L7Days 33.7% 23.3% 10.7%
Brewers Road 30.5% 16.6% 11.2% RH 33.4% 18.8% 14.1% L7Days 31.3% 14.0% 13.3%
Rays Road 35.2% 18.1% 16.3% RH 37.2% 19.2% 20.3% L7Days 46.9% 22.2% 32.8%
Indians Home 31.2% 13.0% 14.8% RH 34.0% 12.8% 18.2% L7Days 30.5% 5.3% 15.9%

K/SwStr Chart (2017 LG AVG – 20.4 K% – 9.7 SwStr% – 2.1 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%
Aaron Nola PHI 22.5% 9.5% 2.37 24.6% 8.0% 3.08
Alex Cobb TAM 16.5% 7.5% 2.20 17.0% 7.7% 2.21
Carlos Martinez STL 27.8% 10.7% 2.60 30.3% 9.7% 3.12
Dan Straily MIA 25.4% 12.2% 2.08 26.9% 12.6% 2.13
Drew Pomeranz BOS 26.1% 10.5% 2.49 21.3% 11.1% 1.92
Hector Santiago MIN 16.5% 7.4% 2.23 16.7% 3.7% 4.51
Jake Arrieta CHC 24.7% 10.2% 2.42 21.7% 9.1% 2.38
James Paxton SEA 26.9% 12.6% 2.13 22.7% 11.0% 2.06
Jeff Hoffman COL 25.7% 10.8% 2.38 22.1% 9.0% 2.46
Jesse Chavez ANA 17.6% 7.9% 2.23 15.3% 6.7% 2.28
Jhoulys Chacin SDG 20.2% 8.7% 2.32 23.0% 11.4% 2.02
Joe Biagini TOR 20.3% 9.2% 2.21 19.5% 9.4% 2.07
Jose Quintana CHW 23.5% 8.3% 2.83 24.6% 8.6% 2.86
Junior Guerra MIL 16.7% 10.4% 1.61 14.2% 8.9% 1.60
Justin Verlander DET 22.3% 9.2% 2.42 23.7% 9.7% 2.44
Kenta Maeda LOS 24.9% 14.4% 1.73 28.0% 14.3% 1.96
Kevin Gausman BAL 16.5% 8.7% 1.90 19.5% 8.1% 2.41
Luis Severino NYY 26.9% 11.4% 2.36 25.8% 12.1% 2.13
Matt Cain SFO 13.1% 4.8% 2.73 9.2% 3.3% 2.79
Matt Strahm KAN 25.6% 11.3% 2.27 23.8% 12.3% 1.93
Max Scherzer WAS 35.3% 16.0% 2.21 38.9% 16.6% 2.34
Mike Clevinger CLE 26.7% 13.4% 1.99 25.3% 13.5% 1.87
Mike Fiers HOU 20.1% 10.0% 2.01 22.8% 11.5% 1.98
Robert Gsellman NYM 15.5% 7.5% 2.07 15.2% 8.4% 1.81
Sean Manaea OAK 26.6% 14.7% 1.81 27.5% 16.2% 1.70
Sean Newcomb ATL 17.8% 10.3% 1.73 17.8% 10.3% 1.73
Taijuan Walker ARI 22.1% 10.0% 2.21 28.6% 12.2% 2.34
Tim Adleman CIN 21.1% 10.8% 1.95 22.0% 10.6% 2.08
Trevor Williams PIT 16.3% 8.8% 1.85 16.4% 9.8% 1.67
Tyson Ross TEX 18.0% 5.3% 3.40 18.0% 5.3% 3.40


Aaron Nola hasn’t had a double digit SwStr% in a start since April (seven starts), but has been between 8% and 10% in three of his last four. It could be enough to retain a slightly better than average K%.

Jose Quintana has a 2.37 K/SwStr for his career, only running highly above that since last season. I’m not ready to concede yet.

ERA Estimators Chart (2017 LG AVG – 4.35 ERA – 4.32 SIERA – 4.26 xFIP – 4.37 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
Aaron Nola PHI 4.32 4.03 -0.29 3.8 -0.52 3.79 -0.53 3.16 -1.16 4.3 3.79 -0.51 3.5 -0.8 3.68 -0.62
Alex Cobb TAM 4.05 4.72 0.67 4.58 0.53 4.14 0.09 4.94 0.89 4.55 4.83 0.28 4.8 0.25 3.68 -0.87
Carlos Martinez STL 2.87 3.68 0.81 3.48 0.61 3.33 0.46 2.42 -0.45 2.04 3.4 1.36 3.23 1.19 2.54 0.5
Dan Straily MIA 3.43 4 0.57 4.29 0.86 3.74 0.31 3.11 -0.32 2.7 3.19 0.49 3.14 0.44 2.7 0
Drew Pomeranz BOS 4.07 3.84 -0.23 3.67 -0.4 3.88 -0.19 3.38 -0.69 3.1 4.09 0.99 3.78 0.68 3.52 0.42
Hector Santiago MIN 5.26 5.47 0.21 5.94 0.68 5.92 0.66 7.75 2.49 12.1 6.31 -5.79 7.38 -4.72 11.72 -0.38
Jake Arrieta CHC 4.36 3.84 -0.52 3.78 -0.58 4.09 -0.27 3.96 -0.40 3.21 4.14 0.93 3.73 0.52 4.03 0.82
James Paxton SEA 3.39 3.8 0.41 3.55 0.16 2.78 -0.61 2.67 -0.72 6.56 4.35 -2.21 3.95 -2.61 4.64 -1.92
Jeff Hoffman COL 4.29 3.66 -0.63 3.88 -0.41 2.86 -1.43 3.68 -0.61 4.91 4.08 -0.83 4.14 -0.77 2.77 -2.14
Jesse Chavez ANA 5.15 4.74 -0.41 4.72 -0.43 5.51 0.36 5.45 0.30 5.27 5.06 -0.21 5 -0.27 5.55 0.28
Jhoulys Chacin SDG 4.95 4.31 -0.64 4.19 -0.76 4.62 -0.33 4.95 0.00 3.56 4.11 0.55 3.93 0.37 4.65 1.09
Joe Biagini TOR 4.45 3.69 -0.76 3.7 -0.75 3.25 -1.2 3.22 -1.23 5.4 3.99 -1.41 3.98 -1.42 3.55 -1.85
Jose Quintana CHW 4.69 4.22 -0.47 4.19 -0.5 4.06 -0.63 4.06 -0.63 4.39 3.69 -0.7 3.29 -1.1 4.37 -0.02
Junior Guerra MIL 3.11 5.78 2.67 5.81 2.7 6.03 2.92 6.71 3.60 3.1 6.35 3.25 6.26 3.16 6.21 3.11
Justin Verlander DET 4.52 4.78 0.26 5.01 0.49 4.2 -0.32 3.50 -1.02 3.71 4.54 0.83 4.1 0.39 3.1 -0.61
Kenta Maeda LOS 4.62 3.92 -0.7 4.14 -0.48 4.15 -0.47 4.20 -0.42 3.5 3.79 0.29 4.2 0.7 3.75 0.25
Kevin Gausman BAL 6.47 5.26 -1.21 5.24 -1.23 5.36 -1.11 6.93 0.46 7.09 5.31 -1.78 5 -2.09 5.12 -1.97
Luis Severino NYY 3.3 3.39 0.09 3.17 -0.13 3.34 0.04 2.79 -0.51 3.62 3.41 -0.21 3.28 -0.34 3.26 -0.36
Matt Cain SFO 5.54 5.48 -0.06 5.31 -0.23 5.16 -0.38 8.46 2.92 8.1 5.64 -2.46 5.46 -2.64 7.12 -0.98
Matt Strahm KAN 4.8 4.7 -0.1 4.84 0.04 4.77 -0.03 3.65 -1.15 3.52 4.35 0.83 4.39 0.87 3.59 0.07
Max Scherzer WAS 2.09 2.73 0.64 3.11 1.02 2.78 0.69 1.70 -0.39 0.92 2.22 1.3 2.42 1.5 1.71 0.79
Mike Clevinger CLE 3.86 4.43 0.57 4.42 0.56 4.52 0.66 3.47 -0.39 5.03 4.54 -0.49 4.94 -0.09 5.48 0.45
Mike Fiers HOU 3.81 4.46 0.65 4.4 0.59 5.65 1.84 5.58 1.77 1.72 3.82 2.1 3.66 1.94 2.63 0.91
Robert Gsellman NYM 6.04 4.69 -1.35 4.66 -1.38 5.27 -0.77 6.91 0.87 5.4 5 -0.4 5.03 -0.37 6.67 1.27
Sean Manaea OAK 4.05 3.9 -0.15 3.85 -0.2 3.52 -0.53 2.82 -1.23 3.66 3.69 0.03 3.6 -0.06 3.54 -0.12
Sean Newcomb ATL 1.96 4.81 2.85 4.34 2.38 3.57 1.61 6.19 4.23 1.96 4.81 2.85 4.34 2.38 3.57 1.61
Taijuan Walker ARI 3.43 4.24 0.81 4.11 0.68 3.45 0.02 4.15 0.72 3.27 3.77 0.5 3.43 0.16 3.14 -0.13
Tim Adleman CIN 4.3 4.7 0.4 5.01 0.71 5.17 0.87 6.47 2.17 3.41 4.94 1.53 5.37 1.96 5.52 2.11
Trevor Williams PIT 5.09 4.77 -0.32 4.85 -0.24 4.37 -0.72 4.62 -0.47 4.18 4.67 0.49 4.61 0.43 3.67 -0.51
Tyson Ross TEX 9.35 5.05 -4.3 4.77 -4.58 4.41 -4.94 4.46 -4.89 9.35 5.07 -4.28 4.77 -4.58 4.41 -4.94


Aaron Nola has estimators that like him more than his ERA increasingly going from left to right on the chart above. It’s not immediately clear where he’s lacking, but I’m going to take a run at the .307 BABIP, which is in line with his career rate and the team defense this year. However, he’s generating so much weak contact that it seems either a launch angle issue or defensive efficiency issue. Considering the average line drive rate, I’ll hold the defense accountable here.

Joe Biagini has just a 53.6 LOB% as a starter.

Max Scherzer has a .230 BABIP. He has an incredibly elite profile, but that may be too low. His 81.8 LOB% is not really disputable with a 35.3 K%.

BABIP & Statcast Chart (2017 LG AVG – .293 BABIP – 44.5 GB% – 20.3 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 GB% Pitcher LD% Pitcher IFFB% Pitcher Zcontact Exit
Velocity
Barrels
BBE
Barrels
PA
BBE
Aaron Nola PHI 0.306 0.307 0.001 49.1% 0.207 5.9% 85.1% 86.1 4.10% 2.90% 170
Alex Cobb TAM 0.296 0.317 0.021 45.7% 0.227 7.4% 91.1% 88.3 5.30% 4.00% 303
Carlos Martinez STL 0.291 0.256 -0.035 50.8% 0.168 12.3% 86.3% 87.1 5.20% 3.30% 252
Dan Straily MIA 0.291 0.259 -0.032 38.1% 0.17 15.3% 84.0% 86 6.30% 4.10% 222
Drew Pomeranz BOS 0.314 0.327 0.013 42.4% 0.227 11.3% 86.4% 87.8 7.70% 5.10% 207
Hector Santiago MIN 0.290 0.264 -0.026 31.7% 0.185 14.7% 87.8% 90.5 11.60% 8.40% 207
Jake Arrieta CHC 0.283 0.311 0.028 44.0% 0.232 8.9% 82.5% 87.1 6.20% 4.20% 241
James Paxton SEA 0.283 0.329 0.046 42.5% 0.246 10.9% 80.8% 86.2 3.00% 1.90% 168
Jeff Hoffman COL 0.297 0.296 -0.001 38.0% 0.2 9.5% 86.6% 87.8 6.90% 4.70% 101
Jesse Chavez ANA 0.288 0.286 -0.002 41.7% 0.214 6.0% 87.2% 88.7 9.20% 6.90% 271
Jhoulys Chacin SDG 0.298 0.293 -0.005 53.4% 0.169 12.2% 88.5% 86.8 6.30% 4.50% 252
Joe Biagini TOR 0.301 0.294 -0.007 58.2% 0.143 3.8% 90.2% 85.3 3.60% 2.70% 192
Jose Quintana CHW 0.283 0.304 0.021 41.9% 0.206 15.1% 89.3% 87.4 6.00% 4.00% 252
Junior Guerra MIL 0.300 0.212 -0.088 38.5% 0.193 13.0% 84.9% 86.7 6.30% 4.30% 111
Justin Verlander DET 0.309 0.303 -0.006 34.0% 0.217 8.0% 85.3% 88.7 8.70% 5.70% 254
Kenta Maeda LOS 0.279 0.279 0 34.5% 0.226 8.3% 79.3% 83.4 4.00% 2.70% 175
Kevin Gausman BAL 0.316 0.374 0.058 41.2% 0.242 10.4% 86.5% 89.1 9.70% 7.00% 279
Luis Severino NYY 0.285 0.275 -0.01 56.1% 0.158 9.4% 85.7% 87.1 6.90% 4.50% 232
Matt Cain SFO 0.321 0.340 0.019 43.1% 0.232 7.5% 91.8% 87.8 5.40% 4.20% 280
Matt Strahm KAN 0.302 0.268 -0.034 37.5% 0.208 6.7% 80.0% 84.4 8.00% 4.70% 75
Max Scherzer WAS 0.299 0.230 -0.069 38.7% 0.152 12.3% 78.2% 85.7 6.00% 3.40% 234
Mike Clevinger CLE 0.307 0.260 -0.047 38.6% 0.208 7.3% 82.4% 87.9 10.80% 6.40% 102
Mike Fiers HOU 0.292 0.267 -0.025 50.4% 0.165 6.6% 85.3% 85.9 7.70% 5.40% 234
Robert Gsellman NYM 0.316 0.324 0.008 53.2% 0.194 8.7% 88.5% 86.6 6.20% 4.70% 257
Sean Manaea OAK 0.292 0.268 -0.024 47.3% 0.183 3.1% 82.9% 88.8 4.80% 3.00% 189
Sean Newcomb ATL 0.283 0.212 -0.071 49.1% 0.226 6.7% 86.3% 87.3 1.90% 1.40% 53
Taijuan Walker ARI 0.290 0.308 0.018 50.0% 0.179 10.2% 83.8% 87.9 5.90% 4.00% 187
Tim Adleman CIN 0.291 0.266 -0.025 38.1% 0.165 6.8% 83.5% 86.6 5.10% 3.50% 197
Trevor Williams PIT 0.306 0.290 -0.016 42.2% 0.225 16.7% 88.2% 85.8 5.80% 4.40% 190
Tyson Ross TEX 0.290 0.296 0.006 39.3% 0.286 0.0% 92.9%


James Paxton has a pretty enormous LD rate, which is a bit surprising considering his strong Statcast contact management numbers. Perhaps that foreshadows improvement. He’s compensated by keeping his HR rate down.

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

James Paxton (2) looked better with velocity and SwStr readings suggesting health may not have been the issue. That gives him immense value potentially at a reasonable price at home against the Phillies.

Max Scherzer (1) is today’s Super Boss. He’s so far ahead of any other pitcher, but also costs a fortune. Good luck affording him.

Value Tier Two

Aaron Nola in parts looks better than the sum as we seem to be waiting for him to consistently put it all together, but at that point he’s going to cost a lot more than $7K to $8K. He may not give it you every start right now, but when he does, it far exceeds the cost.

Value Tier Three

Luis Severino (3) hasn’t been as sharp in his two most recent outings, but contact quality has remained strong and poor sequencing (48.2 LOB%). The most concerning aspect may be a drop in SwStr% despite continuing to strike out batters at a league average rate. He’s the third costliest pitcher on DraftKings, but less so on FanDuel in a quality spot against the White Sox tonight.

Joe Biagini grades out more highly by pure numbers, but there has to be some recognition that he doesn’t have a long track record and has been more hittable in recent starts. He remains a reasonable SP compliment on DraftKings at a low cost in a decent spot for now. He’s still generating ground balls and missing bats at a league average rate.

Drew Pomeranz struggled against Detroit in all aspects and followed up by struggling with peripherals against Houston, but seemed to bounce back in a better spot against Kansas City last time out. He’s an above average pitcher in what seems a neutral spot at an average or even slightly better cost.

Kenta Maeda generates swings and misses and weak contact with the best of them. These metrics suggest he’s a star. The surface results haven’t agreed and there’s always the question of workload. In a favorable spot he could cover an average cost in five innings, better if he lasts longer.

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.

Justin Verlander is allowing hard contact with too many walks and too much hard contact, but that profile could match up well with the Royals in Kansas City at a reasonable cost.

Jose Quintana has been able to limit HRs throughout his career. He’s not doing that this year and in fact has a 25 HR/FB over the last month as he’s increased his ground ball rate significantly. However, all five of those HRs came in two starts. He’s allowed just six total runs in four June starts and been really good in his last two. At a cost around $8K, he’ll likely be a quick pass for most players against the Yankees, but they’re a bit banged up right now and have just been average on the road and against LHP.

Sean Manaea has been an elite swing and miss generator, who continues his run of dominant offenses, facing Houston for the second consecutive start after the Yankees. He’s been allowing some runs, but still missing bats and now costs just $6.2K on DraftKIngs. He may end up being the top guy next time he’s in a reasonable spot.

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.