Advanced Stats - Pitching: Tuesday, June 6th

There are several extremely strong pitchers to choose from today. Unfortunately, as happened last week with mostly the same group, there aren’t many non-expensive pitchers worth your time. You’ll likely be paying up today and looking for ways to save on offense. What you see might be what you get tonight.

As always, don’t forget to check lineups, umpire assignments, line movement, ownership projections and 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. 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+
Aaron Nola PHI 4 3.51 5.65 52.7% 1 3.41 3.71 ATL 100 94 103
Adam Wainwright STL -11.6 4.3 5.91 45.0% 1.02 4.14 3.49 CIN 104 103 100
Antonio Senzatela COL 0.7 4.66 6.09 46.5% 1.39 4.64 3.44 CLE 93 103 94
Brandon McCarthy LOS 1 4.19 5.01 42.2% 0.89 4 2.95 WAS 108 115 130
Chase Anderson MIL -4 4.48 5.24 37.4% 1.02 4.6 2.67 SFO 78 77 100
Chris Archer TAM 0.8 3.44 6.21 45.8% 0.96 3 2.69 CHW 89 81 96
Daniel Norris DET 2.6 4.21 5.13 42.0% 0.98 4.39 4.14 ANA 78 97 109
David Paulino HOU 1.6 4.2 3.5 38.7% 1.06 4.65 1.59 KAN 79 80 81
Dillon Gee TEX 1.3 4.56 5.08 41.2% 1.11 4.72 3.29 NYM 119 101 92
Dinelson Lamet SDG -7.9 2.51 5. 31.8% 1.13 2.79 2.51 ARI 119 103 55
Drew Pomeranz BOS 5.1 3.57 5.41 44.9% 1.01 3.81 2.01 NYY 122 99 128
Hector Santiago MIN 9.1 4.93 5.43 32.6% 0.89 5.62 5.39 SEA 116 83 162
Ivan Nova PIT -7.4 4.09 5.91 51.5% 1.02 3.73 5.25 BAL 90 94 107
Jacob deGrom NYM 1.1 3.32 6.22 45.4% 1.11 3.34 3.76 TEX 96 95 72
Jaime Garcia ATL 2.6 3.92 5.92 57.8% 1 3.48 4 PHI 78 88 106
Jake Arrieta CHC 2.3 3.43 6.53 52.9% 0.96 3.46 2.67 MIA 98 93 110
Jakob Junis KAN 8 6.76 4.2 29.4% 1.06 10.79 HOU 128 124 163
James Paxton SEA 6.7 3.49 5.74 47.2% 0.89 3.36 1.49 MIN 102 84 101
Jeff Locke MIA 4.7 4.55 5.6 49.0% 0.96 5.21 1.78 CHC 103 112 78
Jesse Chavez ANA -5.6 4.03 5.56 44.7% 0.98 4.65 4.87 DET 127 101 164
Jesse Hahn OAK -14.3 4.77 5.45 49.5% 0.93 4.34 3.39 TOR 90 97 98
Jose Quintana CHW 0.4 3.89 6.43 42.5% 0.96 4.48 2.69 TAM 110 86 103
Kevin Gausman BAL -3.5 4.03 5.75 44.2% 1.02 4.11 5.58 PIT 89 93 98
Marco Estrada TOR -2 4.3 6.1 32.9% 0.93 4.35 3.58 OAK 119 103 95
Masahiro Tanaka NYY 1.3 3.72 6.31 0.481 1.01 3.41 2.72 BOS 107 96 105
Matt Cain SFO -0.2 4.85 5.15 0.39 1.02 5.62 3.65 MIL 95 97 78
Max Scherzer WAS -1.9 2.83 6.81 0.344 0.89 3.66 2.03 LOS 121 106 62
Mike Clevinger CLE -5.5 4.53 4.61 0.391 1.39 4.2 3.58 COL 77 82 78
Robbie Ray ARI -4.9 3.75 5.63 0.439 1.13 3.72 2.04 SDG 77 62 78
Tim Adleman CIN 13.6 4.68 5.3 0.378 1.02 5.05 4.45 STL 90 97 68


Aaron Nola lasted three innings in his last start and has allowed nine runs over his last nine innings with three HRs, though he has struck out nine of 41 batters. He also has a 62.7 GB% with a -3.4 Hard-Soft% in those games. On the season, he has league average peripherals (13.1 K-BB%) with a 56.3 GB% and -2 Hard-Soft%. The Braves have just a 13.1 K% over the last week and are about a neutral matchup here.

Chris Archer has struck out one-third of batters on a 14.3 SwStr% over the last month. While contact is occasionally a bit harder than you’d like, it’s generally not so bad that it’s a significant issue with his strikeout rate. He’s in a great spot against the White Sox (17.2 K-BB%, 28.5 Hard% vs RHP).

David Paulino is one of the top prospects (sixth with a 50 FV according to Fangraphs) for the team that seems to have everything. He struck out eight of 17 Twins in his debut, but was pulled after 89 pitches. He’s had a K-BB above 20% at just about every stop in his travels, though only has a total of 39 innings in his career above AA (including 11 major league innings). He only generated two GBs with no weak contact in his first start, but is certainly in a favorable spot against the Royals, who have an 8.6 HR/FB at home.

Drew Pomeranz has struck out 19 of 52 batters in 13 innings (-12.5 Hard-Soft%) over his last two starts as he seems to be hitting his stride after a late start and then a rough patch in May. His 21.3 K-BB% would be a top 10 mark with a few more innings to qualify, but he’s not in a nearly favorable spot in Yankee Stadium. While the Bombers have a 19.8 HR/FB at home, they have been a bit more vulnerable to LHP though (23.6 K%).

Jacob deGrom was punished for seven runs and five walks in four innings (six strikeouts, 25 BF) by Milwaukee. His manager thought it was the after effect of a 118 pitch outing the start before…but still left him in to throw 105 pitches in four innings! The intelligence of that matter aside, it was the third time he has walked five this year (9.9 BB% on the year), but he still generated a 14.3 SwStr% and has now been above 13% in eight of his last nine starts. There are some issues here (37.7 Hard%, 18.2 HR/FB) beyond the walk rate, but the upside remains elite. The park in Texas is more dangerous than the opponent (23.3 K% vs RHP).

Jake Arrieta has alternated good and bad overall results in his last four starts, though the peripherals remain strong (22.5 K-BB% over that span). One theory, shortly after the first of those starts, was that his “cutter has abandoned him”:http://www.fangraphs.com/blogs/jake-arrieta-has-not-been-good/ due to messed up mechanics (throwing across his body), but perhaps he has remedied that with a single run in two of his last three. Strikeouts are still there even if we’re not enamored with the contact this year (41.2 GB%, 33.3 Hard%). He’s not in a bad spot at home against the Marlins and even better if the wind is blowing in again like last night.

James Paxton returned from a returned from nearly a month long layoff to strike out six of 19 Rockies, allowing just three base-runners without a walk. His arm seems fine as his velocity was actually at it’s highest point of the season. Hopefully, the 74 pitches he threw (14 swings and misses) upon return will be expanded on by 10 to 15 at home against the Twins, who have struggled against LHP due to just a 6.9 HR/FB.

Max Scherzer is just doing what he usually does. How much analysis do you need for a guy who has struck out 24 of 62 batters in 17.2 innings over his last two starts, throwing just 208 pitches? The Dodgers are generally a tough bunch of outs against RHP, but have been scuffling with a 27 K% and 6.2 HR/FB over the last week.

Robbie Ray has just the third highest strikeout rate (30.2%) among qualified pitchers today. That’s a little crazy and his 43.6% aEV above 95 mph is worst on the board, which often makes him a dangerous start at home, but he may still be in the top spot on the board against the Padres (32.3 K% over the last week).

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)

Mike Clevinger (.231 – 83.9% – 14.8) may need to be re-evaluated outside of Coors and might even be today on a less talented board, but his 12.2 BB% could get him in trouble in this park. He’s also allowed four HRs over his last two starts with the highest rate of Barrels/BBE (11.6%) on the board.

Jaime Garcia (.242 – 75.1% – 12.0) could gain some support in a nice spot against the Phillies and his 85 mph aEV is third best on the board, but he has had just two of his 10 starts at the new launching pad in Atlanta, allowing a HR in each effort.

Chase Anderson (.295 – 75.7% – 7.0) has struck out 18 of his last 49 batters in 14 shutout innings. His 84.6 mph aEV is second best on the slate. However, he had just a 5.8 SwStr% in his last start and has a history of allowing HRs at at least a league average rate. In the four previous starts, he failed to go more than one out into the sixth. He does have one of the top matchups against the Giants tonight, but is sufficiently priced at $8K or more.

Ivan Nova (.283 – 74.4% – 7.5) is not missing nearly enough bats to feel confident in his return to a difficult AL East park.

Antonio Senzatela (.258 – 76.2% – 11.1)

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

Jose Quintana has been lit up in his last two starts for 15 runs (four HRs) in just seven innings. This is a guy with a 9.1 career HR/FB. His overall contact rates aren’t bad though and his peripherals aren’t terrible, though it’s still difficult to buy into his above average strikeout rate with a SwStr below 8%. However, he’s now just $8K against a lineup with a 27.5 K% against LHP. He’s an interesting speculation on a less talented board.

Brandon McCarthy has an impressive 16.5 K-BB% with a 1.4 Hard-Soft% and a slate low 22.8% of BBEs above 95 mph according to Statcast. The Nationals are a difficult matchup in a great park. There’s nothing wrong with using him here. He’s be a perfectly fine fourth tier pitcher on most days for $8K, just not today.

Marco Estrada is missing more bats than he ever has, but was bombed by the Yankees for seven runs (two HRs) in fewer than four innings in his last start and has now allowed eight HRs over his last six starts. He appears to be either feast or famine in regard to loud contact and occasionally strikeouts this year. While Oakland is an improvement for fly ball pitchers and the team that inhabits the park has a 24.4 K% against RHP, they also have an 18.1 HR/FB at home. For $9K, you’d like a bit more consistency, but he’s a fine choice for those who embrace the added risk.

Masahiro Tanaka is missing so many bats, but “his fastball”:https://twitter.com/Buster_ESPN/status/872014651336294400 is getting crushed. Perhaps that’s why he doesn’t often throw them anymore. Somehow, he inserted a 13 strikeout performance with just one run in between a month of torture, in which he’s allowed 11 HRs in his five other starts since the start of May. At a reduced price (now below $8K on DraftKings), we’d probably lean towards speculating on a lesser day, but against a Boston lineup that strikes out just 18.5% of the time on the roa and vs RHP, the 95+ mph aEV on 41.6% of his contact is too much of a concern.

Dinelson Lamet has had two nearly identical starts, going five innings with eight strikeouts (42 BF) in each with a HR allowed. Walk issues have not followed him from the minors with just three so far. With a 66.7 F-Strike% and 54.1 Zone%, he’s firing strikes. This is the first positive run environment he will face, but the Diamondbacks are the coldest offense in the league (24.4 K%, 8.3 HR/FB over the last week).

Daniel Norris is not in a terrible spot facing a predominantly RH Angels lineup without Trout, but they have just an 18.7 K% against LHP and that’s not something that will likely digress without their star player. His hard hit rate remains at 40.8%.

Jeff Locke struck out seven Diamondbacks with a 15 SwStr% in his first start as a Marlin. His career strikeout rate is barely higher than that (16.5%). He does keep the ball on the ground, but we’ll certainly need to see more of that before buying in. The Cubs have actually performed well against LHP this season (13.5 BB%, 19.1 HR/FB).

Jesse Hahn

Dillon Gee has worked 6.2 innings out of the Texas bullpen so far. He did not leave the Mets on good terms and does have the revenge narrative going for him. Does that cover a near minimum cost? He has a career 16.8 K% with a league average ground ball rate, likely not a recipe for long term success in Texas.

Adam Wainwright has been fueled by a .230 BABIP and 85.3 LOB% without allowing a HR over the last month and still has a BABIP near .350. You’re being asked to pay more than $8K for a league average pitcher at best in a slightly unfavorable spot.

Tim Adleman

Jesse Chavez

Kevin Gausman

Jackob Junis because it doesn’t matter who you throw out there at the Astros right now.

Matt Cain

Hector Santiago

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 23.2% 6.3% Road 21.9% 6.3% L14 Days 22.0% 7.3%
Adam Wainwright Cardinals L2 Years 19.2% 7.4% Road 18.9% 7.2% L14 Days 24.5% 6.1%
Antonio Senzatela Rockies L2 Years 16.1% 7.3% Home 13.6% 6.5% L14 Days 21.3% 4.3%
Brandon McCarthy Dodgers L2 Years 24.1% 10.3% Home 25.6% 11.0% L14 Days 29.3% 4.9%
Chase Anderson Brewers L2 Years 19.1% 7.8% Home 20.4% 7.8% L14 Days 36.7% 8.2%
Chris Archer Rays L2 Years 27.6% 8.0% Home 31.1% 7.5% L14 Days 30.5% 5.1%
Daniel Norris Tigers L2 Years 20.9% 7.6% Home 22.4% 9.2% L14 Days 18.8% 6.3%
David Paulino Astros L2 Years 21.7% 8.7% Road 21.7% 8.7% L14 Days 47.1% 5.9%
Dillon Gee Rangers L2 Years 16.1% 6.6% Home 17.1% 7.4% L14 Days 18.5% 3.7%
Dinelson Lamet Padres L2 Years 38.1% 7.1% Road 40.0% 10.0% L14 Days 38.1% 7.1%
Drew Pomeranz Red Sox L2 Years 27.4% 8.9% Road 25.5% 9.2% L14 Days 36.5% 1.9%
Hector Santiago Twins L2 Years 18.7% 9.5% Road 17.0% 11.0% L14 Days 18.2% 9.1%
Ivan Nova Pirates L2 Years 16.4% 4.8% Road 16.8% 2.9% L14 Days 6.5% 3.2%
Jacob deGrom Mets L2 Years 27.0% 6.6% Road 22.3% 5.1% L14 Days 28.1% 10.5%
Jaime Garcia Braves L2 Years 19.2% 7.6% Home 20.5% 7.2% L14 Days 13.5% 9.6%
Jake Arrieta Cubs L2 Years 25.6% 7.7% Home 27.9% 10.3% L14 Days 34.8% 6.5%
Jakob Junis Royals L2 Years 19.4% 22.6% Home 0.0% 40.0% L14 Days
James Paxton Mariners L2 Years 24.7% 5.8% Home 25.1% 5.4% L14 Days 31.6% 0.0%
Jeff Locke Marlins L2 Years 15.3% 7.5% Road 11.3% 8.3% L14 Days 35.0% 0.0%
Jesse Chavez Angels L2 Years 20.0% 7.1% Road 18.4% 7.7% L14 Days 12.8% 6.4%
Jesse Hahn Athletics L2 Years 15.2% 8.8% Home 15.7% 8.7% L14 Days 16.7% 0.0%
Jose Quintana White Sox L2 Years 21.3% 5.8% Road 20.5% 7.8% L14 Days 28.2% 0.0%
Kevin Gausman Orioles L2 Years 21.0% 6.7% Home 20.0% 7.3% L14 Days 10.5% 8.8%
Marco Estrada Blue Jays L2 Years 21.8% 7.9% Road 23.5% 7.1% L14 Days 26.7% 6.7%
Masahiro Tanaka Yankees L2 Years 20.8% 4.6% Home 23.8% 4.3% L14 Days 31.5% 3.7%
Matt Cain Giants L2 Years 16.3% 8.3% Road 14.8% 9.3% L14 Days 11.5% 3.9%
Max Scherzer Nationals L2 Years 31.8% 5.4% Road 30.4% 6.5% L14 Days 38.7% 3.2%
Mike Clevinger Indians L2 Years 23.6% 12.4% Road 24.2% 10.2% L14 Days 26.0% 6.0%
Robbie Ray Diamondbacks L2 Years 26.5% 9.5% Home 26.0% 9.3% L14 Days 35.9% 0.0%
Tim Adleman Reds L2 Years 18.0% 7.6% Home 20.6% 8.7% L14 Days 18.0% 8.0%

K/BB Chart – Opponent

Opponent Split K% BB% Split K% BB% Split K% BB%
Braves Home 20.0% 8.6% RH 19.6% 8.0% L7Days 13.1% 6.1%
Reds Home 21.9% 8.7% RH 21.1% 8.5% L7Days 27.8% 11.6%
Indians Road 19.6% 9.3% RH 20.7% 9.3% L7Days 16.9% 8.9%
Nationals Road 19.8% 8.8% RH 19.2% 9.4% L7Days 16.9% 7.9%
Giants Road 19.8% 8.7% RH 19.4% 7.8% L7Days 19.3% 11.9%
White Sox Road 21.2% 6.0% RH 23.2% 6.0% L7Days 25.1% 5.2%
Angels Road 21.7% 9.6% LH 18.7% 9.4% L7Days 15.2% 7.8%
Royals Home 19.1% 7.0% RH 21.0% 6.4% L7Days 18.5% 3.7%
Mets Road 19.3% 8.6% RH 19.3% 9.3% L7Days 19.3% 9.0%
Diamondbacks Home 21.1% 8.3% RH 23.2% 8.7% L7Days 24.4% 7.7%
Yankees Home 24.1% 11.0% LH 23.6% 11.0% L7Days 22.0% 7.1%
Mariners Home 19.2% 10.0% LH 18.9% 10.1% L7Days 17.7% 8.0%
Orioles Home 21.5% 7.4% RH 22.4% 6.6% L7Days 24.0% 4.1%
Rangers Home 23.0% 9.4% RH 23.3% 8.9% L7Days 31.8% 8.3%
Phillies Road 23.9% 7.5% LH 20.4% 7.9% L7Days 23.0% 6.0%
Marlins Road 20.7% 6.0% RH 20.3% 7.1% L7Days 22.9% 8.8%
Astros Road 18.2% 9.2% RH 18.3% 7.9% L7Days 15.7% 10.2%
Twins Road 21.6% 8.9% LH 19.8% 11.2% L7Days 26.1% 7.3%
Cubs Home 21.1% 9.9% LH 21.9% 13.5% L7Days 22.2% 8.4%
Tigers Home 19.1% 10.1% RH 22.9% 10.3% L7Days 14.3% 7.7%
Blue Jays Road 21.6% 8.1% RH 20.0% 7.5% L7Days 23.6% 7.9%
Rays Home 25.3% 9.8% LH 27.5% 10.7% L7Days 21.3% 6.4%
Pirates Road 19.3% 8.8% RH 18.6% 8.6% L7Days 21.7% 6.9%
Athletics Home 23.1% 8.6% RH 24.4% 8.9% L7Days 28.3% 7.2%
Red Sox Road 18.5% 9.2% RH 18.5% 9.2% L7Days 20.6% 7.5%
Brewers Home 27.5% 9.1% RH 25.2% 8.8% L7Days 34.0% 11.3%
Dodgers Home 22.2% 9.9% RH 23.2% 10.2% L7Days 27.0% 11.3%
Rockies Home 21.2% 6.9% RH 22.0% 7.7% L7Days 21.7% 9.4%
Padres Road 26.2% 7.1% LH 22.7% 9.4% L7Days 32.3% 4.8%
Cardinals Road 20.8% 8.5% RH 20.9% 8.8% L7Days 25.1% 9.6%

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 28.1% 14.1% 5.9% 2017 24.0% 15.4% -2.0% Road 27.6% 5.6% 4.5% L14 Days 20.7% 33.3% -3.4%
Adam Wainwright Cardinals L2 Years 30.7% 10.6% 11.5% 2017 29.7% 7.3% 9.4% Road 32.2% 17.1% 14.9% L14 Days 20.6% 0.0% -5.9%
Antonio Senzatela Rockies L2 Years 28.8% 11.1% 14.6% 2017 28.8% 11.1% 14.6% Home 29.8% 12.8% 15.7% L14 Days 40.0% 0.0% 31.4%
Brandon McCarthy Dodgers L2 Years 30.7% 7.7% 7.3% 2017 26.9% 9.5% 1.4% Home 34.6% 8.7% 13.3% L14 Days 26.9% 11.1% -3.9%
Chase Anderson Brewers L2 Years 32.3% 13.5% 16.5% 2017 35.4% 7.0% 17.4% Home 37.2% 10.9% 17.8% L14 Days 29.6% 0.0% 7.4%
Chris Archer Rays L2 Years 33.4% 12.8% 16.1% 2017 37.8% 8.2% 21.6% Home 33.1% 9.8% 16.2% L14 Days 34.2% 0.0% 13.1%
Daniel Norris Tigers L2 Years 34.0% 11.3% 18.1% 2017 40.8% 8.3% 24.1% Home 38.9% 15.5% 24.8% L14 Days 17.7% 8.3% -5.8%
David Paulino Astros L2 Years 29.0% 7.7% 12.9% 2017 37.5% 33.3% 37.5% Road 29.0% 7.7% 12.9% L14 Days 37.5% 33.3% 37.5%
Dillon Gee Rangers L2 Years 29.7% 15.7% 10.3% 2017 15.0% 20.0% -20.0% Home 28.1% 12.0% 7.9% L14 Days 15.0% 20.0% -20.0%
Dinelson Lamet Padres L2 Years 36.4% 16.7% 22.8% 2017 36.4% 16.7% 22.8% Road 40.0% 20.0% 20.0% L14 Days 36.4% 16.7% 22.8%
Drew Pomeranz Red Sox L2 Years 30.6% 13.8% 9.2% 2017 33.6% 16.0% 7.2% Road 30.7% 10.8% 8.1% L14 Days 25.0% 11.1% -12.5%
Hector Santiago Twins L2 Years 36.3% 11.9% 20.1% 2017 37.0% 13.3% 21.0% Road 35.6% 9.9% 17.5% L14 Days 42.5% 23.1% 25.0%
Ivan Nova Pirates L2 Years 33.2% 13.5% 15.6% 2017 32.1% 7.5% 17.4% Road 36.1% 14.7% 22.6% L14 Days 37.5% 0.0% 26.8%
Jacob deGrom Mets L2 Years 30.8% 11.9% 10.8% 2017 37.7% 18.2% 17.1% Road 34.8% 14.1% 16.9% L14 Days 42.9% 27.3% 25.8%
Jaime Garcia Braves L2 Years 28.4% 14.2% 7.1% 2017 26.0% 12.0% 0.5% Home 31.0% 24.7% 13.3% L14 Days 12.5% 0.0% -10.0%
Jake Arrieta Cubs L2 Years 25.3% 10.8% 2.8% 2017 33.3% 16.7% 11.8% Home 23.0% 8.9% -1.0% L14 Days 40.7% 30.0% 33.3%
Jakob Junis Royals L2 Years 38.9% 0.0% 22.2% 2017 38.9% 0.0% 22.2% Home 100.0% 0.0% 100.0% L14 Days
James Paxton Mariners L2 Years 31.8% 6.5% 17.3% 2017 28.0% 0.0% 13.0% Home 30.4% 5.1% 17.4% L14 Days 15.4% 0.0% 0.0%
Jeff Locke Marlins L2 Years 28.3% 11.7% 10.6% 2017 23.1% 0.0% 15.4% Road 30.8% 13.7% 14.5% L14 Days 23.1% 0.0% 15.4%
Jesse Chavez Angels L2 Years 32.4% 16.8% 15.5% 2017 34.0% 19.4% 19.0% Road 38.5% 16.7% 24.3% L14 Days 27.0% 25.0% 10.8%
Jesse Hahn Athletics L2 Years 28.1% 9.7% 7.9% 2017 27.9% 2.1% 5.8% Home 33.6% 15.8% 14.3% L14 Days 20.0% 0.0% -20.0%
Jose Quintana White Sox L2 Years 30.8% 10.0% 12.2% 2017 28.2% 13.0% 8.5% Road 28.7% 5.8% 8.2% L14 Days 29.6% 57.1% 18.5%
Kevin Gausman Orioles L2 Years 30.6% 14.6% 10.9% 2017 34.0% 13.9% 15.6% Home 30.1% 12.4% 10.0% L14 Days 37.0% 13.3% 24.0%
Marco Estrada Blue Jays L2 Years 30.1% 9.6% 9.7% 2017 30.2% 12.1% 13.6% Road 30.7% 10.2% 10.1% L14 Days 43.3% 23.1% 23.3%
Masahiro Tanaka Yankees L2 Years 32.3% 16.0% 13.8% 2017 34.0% 21.2% 15.2% Home 34.7% 16.7% 18.4% L14 Days 40.0% 7.7% 20.0%
Matt Cain Giants L2 Years 32.8% 13.3% 14.0% 2017 31.0% 8.8% 15.0% Road 31.9% 14.1% 12.0% L14 Days 29.6% 14.3% 16.0%
Max Scherzer Nationals L2 Years 29.1% 12.4% 7.6% 2017 26.1% 11.6% 5.1% Road 31.3% 12.8% 8.6% L14 Days 22.9% 6.3% -2.8%
Mike Clevinger Indians L2 Years 31.4% 13.6% 13.5% 2017 31.9% 14.8% 14.5% Road 30.1% 14.6% 11.6% L14 Days 41.2% 25.0% 20.6%
Robbie Ray Diamondbacks L2 Years 37.1% 12.2% 21.2% 2017 42.9% 11.3% 25.7% Home 40.8% 17.0% 25.8% L14 Days 30.3% 0.0% 3.0%
Tim Adleman Reds L2 Years 33.1% 14.0% 18.4% 2017 29.3% 14.5% 13.5% Home 32.8% 15.7% 17.9% L14 Days 13.9% 9.1% -11.1%

Batted Ball Charts – Opponent

Opponent Split Hard% HR/FB% Hd-St% Split Hard% HR/FB% Hd-St% Split Hard% HR/FB% Hd-St%
Braves Home 31.7% 12.1% 14.7% RH 31.1% 10.6% 13.2% L7Days 30.9% 13.6% 12.6%
Reds Home 28.6% 14.6% 6.9% RH 28.6% 13.7% 7.9% L7Days 26.9% 19.6% 2.8%
Indians Road 36.2% 11.0% 19.2% RH 34.3% 12.9% 18.1% L7Days 38.0% 12.2% 24.7%
Nationals Road 30.0% 14.8% 11.5% RH 31.2% 14.8% 13.8% L7Days 27.4% 18.0% 9.5%
Giants Road 30.9% 9.8% 10.7% RH 28.9% 9.2% 7.7% L7Days 26.1% 5.3% 7.3%
White Sox Road 30.4% 13.9% 12.6% RH 28.5% 13.1% 9.2% L7Days 36.4% 8.8% 16.7%
Angels Road 32.5% 11.2% 13.7% LH 31.1% 10.4% 14.5% L7Days 24.2% 16.7% 5.4%
Royals Home 31.2% 8.6% 11.9% RH 31.8% 11.9% 12.3% L7Days 35.1% 5.1% 17.2%
Mets Road 38.7% 16.3% 22.0% RH 35.3% 12.2% 17.8% L7Days 34.6% 12.9% 19.5%
Diamondbacks Home 40.1% 17.5% 27.4% RH 36.3% 15.8% 19.7% L7Days 30.8% 8.3% 11.9%
Yankees Home 30.4% 19.8% 7.7% LH 28.9% 13.2% 7.5% L7Days 39.1% 19.0% 26.1%
Mariners Home 29.5% 11.3% 10.0% LH 29.8% 6.9% 8.0% L7Days 33.5% 15.4% 19.6%
Orioles Home 27.7% 13.1% 6.5% RH 30.1% 14.2% 9.6% L7Days 30.1% 15.3% 5.1%
Rangers Home 33.4% 15.1% 13.4% RH 33.0% 14.7% 12.4% L7Days 28.3% 12.5% 0.9%
Phillies Road 28.6% 11.2% 6.1% LH 29.2% 16.3% 7.8% L7Days 29.4% 16.1% 14.4%
Marlins Road 29.9% 13.2% 9.1% RH 30.9% 13.4% 10.8% L7Days 28.7% 20.5% 5.7%
Astros Road 31.1% 15.0% 13.4% RH 31.1% 15.4% 13.2% L7Days 29.6% 23.3% 12.9%
Twins Road 32.5% 13.9% 17.1% LH 31.6% 6.9% 14.1% L7Days 32.5% 19.6% 16.3%
Cubs Home 30.9% 16.7% 14.3% LH 28.9% 19.1% 6.3% L7Days 28.2% 14.3% 9.7%
Tigers Home 50.1% 14.5% 37.1% RH 42.3% 12.7% 27.5% L7Days 51.3% 20.4% 40.0%
Blue Jays Road 31.8% 16.0% 11.7% RH 30.8% 15.8% 10.9% L7Days 30.1% 20.9% 15.4%
Rays Home 36.0% 14.5% 17.4% LH 34.0% 11.7% 11.9% L7Days 28.7% 20.0% 5.2%
Pirates Road 30.5% 11.7% 8.5% RH 30.4% 10.2% 8.1% L7Days 34.9% 12.8% 9.2%
Athletics Home 32.8% 18.1% 17.5% RH 35.1% 16.5% 18.8% L7Days 28.6% 18.8% 9.3%
Red Sox Road 32.5% 12.6% 12.5% RH 35.3% 9.8% 17.7% L7Days 25.8% 20.0% -1.2%
Brewers Home 37.8% 18.6% 16.9% RH 33.8% 18.0% 14.8% L7Days 36.5% 15.4% 17.3%
Dodgers Home 35.5% 16.7% 21.6% RH 34.5% 13.6% 19.7% L7Days 28.6% 6.5% 10.7%
Rockies Home 30.5% 15.6% 10.5% RH 30.2% 13.3% 9.7% L7Days 26.9% 8.7% 4.4%
Padres Road 30.1% 14.6% 8.4% LH 28.0% 10.2% 5.3% L7Days 35.2% 19.4% 17.1%
Cardinals Road 32.6% 11.2% 15.9% RH 30.6% 12.1% 11.4% L7Days 30.8% 12.5% 6.4%

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 21.2% 10.5% 2.02 20.6% 8.1% 2.54
Adam Wainwright STL 20.0% 8.5% 2.35 19.2% 9.1% 2.11
Antonio Senzatela COL 16.1% 6.7% 2.40 19.7% 8.1% 2.43
Brandon McCarthy LOS 22.8% 9.1% 2.51 24.4% 9.9% 2.46
Chase Anderson MIL 22.5% 10.0% 2.25 24.4% 10.3% 2.37
Chris Archer TAM 29.0% 12.9% 2.25 33.3% 14.3% 2.33
Daniel Norris DET 19.2% 9.0% 2.13 20.2% 8.3% 2.43
David Paulino HOU 47.1% 10.1% 4.66 47.1% 10.1% 4.66
Dillon Gee TEX 18.5% 11.3% 1.64 18.5% 11.3% 1.64
Dinelson Lamet SDG 38.1% 15.1% 2.52 38.1% 15.1% 2.52
Drew Pomeranz BOS 29.0% 10.7% 2.71 28.6% 12.4% 2.31
Hector Santiago MIN 15.9% 7.6% 2.09 14.6% 6.0% 2.43
Ivan Nova PIT 13.0% 7.1% 1.83 8.8% 6.6% 1.33
Jacob deGrom NYM 31.5% 15.2% 2.07 31.4% 14.6% 2.15
Jaime Garcia ATL 15.4% 9.4% 1.64 17.2% 9.3% 1.85
Jake Arrieta CHC 26.5% 11.2% 2.37 24.8% 11.3% 2.19
Jakob Junis KAN 19.4% 6.5% 2.98 23.1% 7.4% 3.12
James Paxton SEA 30.2% 14.3% 2.11 31.6% 18.9% 1.67
Jeff Locke MIA 35.0% 15.0% 2.33 35.0% 15.0% 2.33
Jesse Chavez ANA 18.5% 8.3% 2.23 16.7% 7.9% 2.11
Jesse Hahn OAK 19.1% 7.5% 2.55 17.7% 6.5% 2.72
Jose Quintana CHW 23.0% 7.8% 2.95 22.5% 7.4% 3.04
Kevin Gausman BAL 14.8% 8.6% 1.72 16.8% 8.3% 2.02
Marco Estrada TOR 27.2% 12.5% 2.18 29.1% 12.7% 2.29
Masahiro Tanaka NYY 20.5% 13.2% 1.55 25.0% 14.5% 1.72
Matt Cain SFO 14.8% 5.1% 2.90 11.8% 3.8% 3.11
Max Scherzer WAS 33.6% 15.7% 2.14 35.0% 16.2% 2.16
Mike Clevinger CLE 27.8% 13.0% 2.14 27.8% 13.0% 2.14
Robbie Ray ARI 30.2% 13.2% 2.29 27.8% 13.3% 2.09
Tim Adleman CIN 20.5% 10.4% 1.97 18.5% 8.7% 2.13


While many are of the small sample size variety, look at all of the enormous strikeout and swinging strike rates today!

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 5.06 3.93 -1.13 3.78 -1.28 3.99 -1.07 3.17 -1.89 5.63 3.86 -1.77 3.84 -1.79 4.86 -0.77
Adam Wainwright STL 3.79 4.3 0.51 4.02 0.23 3.31 -0.48 5.57 1.78 1.42 4.58 3.16 4.29 2.87 2.86 1.44
Antonio Senzatela COL 3.49 4.66 1.17 4.45 0.96 4.17 0.68 5.81 2.32 4.34 4.56 0.22 4.18 -0.16 4.08 -0.26
Brandon McCarthy LOS 3.38 3.74 0.36 3.47 0.09 3.05 -0.33 3.57 0.19 3.74 3.14 -0.6 2.92 -0.82 2.31 -1.43
Chase Anderson MIL 3.3 4.26 0.96 4.34 1.04 3.4 0.1 5.04 1.74 3.86 4.22 0.36 4.63 0.77 4.12 0.26
Chris Archer TAM 3.74 3.42 -0.32 3.35 -0.39 2.73 -1.01 1.87 -1.87 3.97 2.83 -1.14 2.52 -1.45 2.11 -1.86
Daniel Norris DET 4.47 4.66 0.19 4.7 0.23 3.97 -0.5 4.37 -0.10 4.94 4.21 -0.73 4.51 -0.43 4.44 -0.5
David Paulino HOU 4.5 1.59 -2.91 1.1 -3.4 3.05 -1.45 3.54 -0.96 4.5 1.59 -2.91 1.1 -3.4 3.05 -1.45
Dillon Gee TEX 0 3.29 3.29 3.75 3.75 4.4 4.4 3.55 3.55 0 3.29 3.29 3.75 3.75 4.4 4.4
Dinelson Lamet SDG 2.7 2.51 -0.19 3.14 0.44 3.65 0.95 2.67 -0.03 2.7 2.51 -0.19 3.14 0.44 3.65 0.95
Drew Pomeranz BOS 4.24 3.38 -0.86 3.25 -0.99 3.58 -0.66 3.60 -0.64 4.5 3.4 -1.1 3.22 -1.28 3.17 -1.33
Hector Santiago MIN 4.76 5.27 0.51 5.71 0.95 5.68 0.92 7.29 2.53 7.43 5.74 -1.69 6.16 -1.27 8.04 0.61
Ivan Nova PIT 2.92 4.23 1.31 3.84 0.92 3.17 0.25 5.05 2.13 3.86 4.91 1.05 4.51 0.65 3.93 0.07
Jacob deGrom NYM 3.97 3.35 -0.62 3.07 -0.9 3.58 -0.39 2.31 -1.66 4.31 3.28 -1.03 3.03 -1.28 4.13 -0.18
Jaime Garcia ATL 3.18 4.85 1.67 4.51 1.33 4.36 1.18 5.69 2.51 2.45 4.1 1.65 3.88 1.43 3.72 1.27
Jake Arrieta CHC 4.6 3.48 -1.12 3.57 -1.03 4.02 -0.58 3.78 -0.82 4.55 3.72 -0.83 3.98 -0.57 4.31 -0.24
Jakob Junis KAN 2.7 6.73 4.03 6.49 3.79 4.4 1.7 3.18 5.74 2.56 5.73 2.55 3.58 0.4
James Paxton SEA 1.26 3.09 1.83 2.98 1.72 1.44 0.18 1.75 0.49 0 1.49 1.49 1.78 1.78 0.8 0.8
Jeff Locke MIA 1.59 1.75 0.16 1.5 -0.09 0.58 -1.01 2.80 1.21 1.59 1.78 0.19 1.5 -0.09 0.58 -1.01
Jesse Chavez ANA 4.68 4.41 -0.27 4.4 -0.28 5.27 0.59 4.61 -0.07 4.97 4.31 -0.66 4.42 -0.55 6.08 1.11
Jesse Hahn OAK 3.81 4.4 0.59 4.19 0.38 2.81 -1 3.76 -0.05 6.11 4.72 -1.39 4.26 -1.85 2.88 -3.23
Jose Quintana CHW 5.6 4.18 -1.42 4.36 -1.24 4.29 -1.31 4.45 -1.15 7.67 4.07 -3.6 4.37 -3.3 4.46 -3.21
Kevin Gausman BAL 5.92 5.18 -0.74 5.21 -0.71 5.29 -0.63 6.63 0.71 4.13 4.57 0.44 4.42 0.29 4.28 0.15
Marco Estrada TOR 3.86 3.49 -0.37 3.8 -0.06 3.59 -0.27 5.93 2.07 5.35 3.26 -2.09 3.54 -1.81 4.27 -1.08
Masahiro Tanaka NYY 6.34 4.03 -2.31 4.08 -2.26 5.18 -1.16 5.01 -1.33 9.12 3.61 -5.51 3.78 -5.34 6.33 -2.79
Matt Cain SFO 4.53 5.17 0.64 4.98 0.45 4.31 -0.22 6.92 2.39 4.34 5.24 0.9 4.91 0.57 4.39 0.05
Max Scherzer WAS 2.56 2.81 0.25 3.25 0.69 3 0.44 1.84 -0.72 2.45 2.53 0.08 2.82 0.37 2.88 0.43
Mike Clevinger CLE 3.1 4.06 0.96 3.91 0.81 4.08 0.98 2.61 -0.49 3.1 4.06 0.96 3.91 0.81 4.08 0.98
Robbie Ray ARI 3 3.59 0.59 3.53 0.53 3.28 0.28 2.98 -0.02 2.48 3.71 1.23 4.02 1.54 3.29 0.81
Tim Adleman CIN 4.89 4.41 -0.48 4.61 -0.28 4.79 -0.1 6.20 1.31 5.47 5.04 -0.43 4.85 -0.62 4.67 -0.8


Aaron Nola has an elevated BABIP despite a low LD rate and lots of weak ground balls. His 70.1 GB% is probably a bit low for a guy with an above average strikeout rate as well.

Jacob deGrom may struggle to reach his estimators because his defense can’t catch the ball.

Jake Arrieta doesn’t have a poor BABIP profile, which bodes well for a mark nearly 100 points higher than last year, which in turn should bode well for his 67% strand rate.

James Paxton has stranded 82.5% of runners without allowing a HR yet this season. That won’t last, but he’s in a big park against an offense that has struggled with power against LHP despite Sano and Dozier.

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 0.297 0.337 0.04 56.3% 0.167 7.7% 83.0% 85.6 5.20% 3.60% 96
Adam Wainwright STL 0.287 0.346 0.059 48.4% 0.223 10.9% 89.9% 85.2 4.20% 3.00% 192
Antonio Senzatela COL 0.290 0.258 -0.032 46.5% 0.223 6.3% 89.6% 87 6.80% 5.10% 205
Brandon McCarthy LOS 0.286 0.298 0.012 47.2% 0.232 21.4% 87.0% 84.5 2.80% 1.90% 145
Chase Anderson MIL 0.306 0.295 -0.011 36.5% 0.218 9.9% 85.5% 84.6 5.10% 3.40% 178
Chris Archer TAM 0.284 0.308 0.024 43.6% 0.203 13.7% 81.7% 89.1 6.40% 4.00% 204
Daniel Norris DET 0.306 0.341 0.035 44.4% 0.205 5.0% 90.0% 88.4 6.90% 4.80% 174
David Paulino HOU 0.286 0.571 0.285 25.0% 0.375 0.0% 76.9%
Dillon Gee TEX 0.283 0.211 -0.072 57.9% 0.158 20.0% 83.3%
Dinelson Lamet SDG 0.302 0.300 -0.002 31.8% 0.136 0.0% 81.5%
Drew Pomeranz BOS 0.310 0.326 0.016 40.1% 0.234 8.0% 86.3% 88.1 8.60% 5.40% 140
Hector Santiago MIN 0.276 0.262 -0.014 32.3% 0.182 13.3% 87.7% 90.8 11.50% 8.50% 200
Ivan Nova PIT 0.304 0.283 -0.021 50.2% 0.229 7.5% 92.9% 88.3 5.40% 4.60% 259
Jacob deGrom NYM 0.324 0.338 0.014 44.6% 0.226 9.1% 75.4% 87.1 6.50% 3.80% 170
Jaime Garcia ATL 0.282 0.242 -0.04 57.1% 0.164 8.0% 88.8% 85 4.20% 3.10% 192
Jake Arrieta CHC 0.291 0.337 0.046 41.2% 0.215 10.6% 80.6% 86.3 7.30% 4.90% 177
Jakob Junis KAN 0.298 0.333 0.035 29.4% 0.235 0.0% 95.2%
James Paxton SEA 0.282 0.271 -0.011 44.3% 0.198 13.2% 77.1% 86 1.90% 1.20% 107
Jeff Locke MIA 0.275 0.231 -0.044 53.8% 0.231 0.0% 81.8%
Jesse Chavez ANA 0.281 0.269 -0.012 46.0% 0.18 4.2% 86.5% 89 9.50% 7.00% 200
Jesse Hahn OAK 0.286 0.292 0.006 46.7% 0.22 8.5% 89.9% 87.1 3.90% 2.80% 154
Jose Quintana CHW 0.274 0.315 0.041 37.8% 0.205 14.3% 90.3% 86.8 6.40% 4.30% 188
Kevin Gausman BAL 0.304 0.356 0.052 43.8% 0.219 11.1% 86.5% 89.1 9.40% 7.10% 212
Marco Estrada TOR 0.297 0.302 0.005 35.7% 0.179 7.7% 79.1% 88.1 9.00% 6.00% 199
Masahiro Tanaka NYY 0.284 0.339 0.055 47.4% 0.189 15.2% 85.6% 89.8 10.70% 7.70% 197
Matt Cain SFO 0.306 0.314 0.008 44.4% 0.212 8.8% 90.7% 88.2 4.00% 3.00% 200
Max Scherzer WAS 0.295 0.247 -0.048 34.3% 0.157 11.6% 78.4% 86.1 6.30% 3.70% 176
Mike Clevinger CLE 0.302 0.231 -0.071 41.2% 0.191 11.1% 85.5% 87.3 11.60% 7.00% 69
Robbie Ray ARI 0.289 0.256 -0.033 39.0% 0.22 14.5% 80.6% 88.7 6.70% 4.00% 163
Tim Adleman CIN 0.277 0.272 -0.005 40.0% 0.177 5.5% 84.8% 86.3 6.10% 4.20% 132


Max Scherzer always has my favorite BABIP 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.

While it may surprise you to see some of these names a bit lower than expected today, remember that these are generally mostly top two tier values on most ordinary days, while a lot of normally third and fourth tier guys are omitted today.

Value Tier One

James Paxton (3) may have workload concerns, but 85-90 pitches at $9K is still a bargain for a guy striking out 30% of batters faced and pitching in Safeco. He’ll likely be a $10K pitcher within the month.

Value Tier Two

Aaron Nola is probably your guy if you’re not looking to pay up tonight. He hasn’t always had great results, but that’s why the cost is so low. He misses bats at an average rate or slightly better and generates a lot of weak ground balls. When you last three innings, but only allow two balls off the ground, there was probably some poor luck involved.

Chris Archer (2) is one of several $10K pitchers in nice spots tonight. All signs point towards him dominating the White Sox tonight.

Max Scherzer (1) is generally always the top overall arm and is catching a good offense at a good time in a great park. The question is just where to slot in his enormous price tag. There are plenty of pitchers with 30% strikeout potential on today’s board, but most not nearly as dependable as him.

Value Tier Three

Drew Pomeranz has turned it up over his last two starts. He’s in a difficult spot in the Bronx tonight, but may still be able to succeed at a cost below $8.5K on either site.

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.

Jake Arrieta (4t) is beginning to at least occasionally get results commiserate with his elite peripherals this season. While the contact dominator from the last two seasons may be gone, his increased strikeout rate may actually make him more daily fantasy valuable than last season.

Jacob deGrom (4t) is in a difficult park and adds a DH tonight. Hopefully the arm bounces back from some strange managerial decisions in his last start. He’s still missing bats an elite rate, whatever his other issues are. His 15.2 SwStr% and 31.5 K% sit only behind Scherzer among qualified pitchers today. He’s facing an offense with a 31.8 K% over the last week.

Robbie Ray (4t) allows a ton of hard contact in a difficult park, but the elite strikeout rate keeps him in contention and he still might have the top matchup on the board against the Padres.

David Paulino is a strong prospect in a nice spot in Kansas City. We know he can miss bats, but there’s a question surrounding workload. If they hold him to 85-90 again, he could cover $6.5K.

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.