Advanced Stats - Pitching: Tuesday, May 30th

No fewer than three pitchers are making their first major league start tonight, while one hasn’t started in over two years. That means either there’s been a rash of injuries or the Super Two deadline has passed. I’d guess the former, considering none are major prospects. Another is making his second major league start. On the positive end, it’s Chris Sale day and at least there are no afternoon games to rush for.

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+
Ariel Miranda SEA 5.3 4.45 5.41 35.0% 1.39 5.69 3.92 COL 78 92 89
Asher Wojciechowski CIN 20.7 5.34 23.1% 1.03 22.28 5.04 TOR 98 96 150
Bartolo Colon ATL 5.4 4.37 5.85 43.6% 0.91 4.85 4.78 ANA 110 92 89
Chris Sale BOS 0.4 2.86 7.02 41.4% 0.98 3.52 2.79 CHW 105 129 123
Chris Tillman BAL -3.4 4.58 5.66 43.0% 1.02 4.4 4.59 NYY 104 118 75
Dinelson Lamet SDG -9.1 2.61 5. 20.0% 0.91 2.61 CHC 85 87 77
Eddie Butler CHC 3.4 4.81 5.06 48.0% 0.91 4.61 6.87 SDG 74 81 74
Gio Gonzalez WAS -6 4.07 5.64 48.7% 0.93 4.36 4.43 SFO 74 70 58
Ivan Nova PIT -5.8 4.06 5.89 51.5% 0.97 3.7 4.25 ARI 74 107 79
J.A. Happ TOR -2.4 3.97 5.76 42.6% 1.03 3.56 CIN 99 102 98
Jeff Samardzija SFO 2.1 3.99 6.52 42.7% 0.93 3.63 2.79 WAS 101 110 104
Jose Berrios MIN 11 4.85 4.71 37.6% 1.04 4.65 2.57 HOU 121 123 151
Jose Quintana CHW -2.7 3.89 6.49 42.7% 0.98 3.72 2.76 BOS 108 96 102
Justin Nicolino MIA 4.8 5.31 5.71 45.8% 0.94 5.49 4.49 PHI 77 89 64
Justin Verlander DET 4.3 3.77 6.59 33.3% 1.06 4.2 5.35 KAN 81 81 91
Kenta Maeda LOS -1.3 3.71 5.5 42.1% 0.98 3.62 4.84 STL 96 100 62
Luis Severino NYY 0 3.73 5.32 48.5% 1.02 3.66 3.33 BAL 87 93 44
Matt Andriese TAM -0.1 3.98 5.53 44.0% 1.11 4.14 4.09 TEX 104 98 91
Michael Wacha STL -10.2 4.07 5.7 45.5% 0.98 3.75 3.91 LOS 94 112 89
Mike Fiers HOU -3.5 4.25 5.68 40.8% 1.04 4.7 5.58 MIN 102 111 94
Nick Martinez TEX 0.7 5.17 5.35 44.7% 1.11 4.9 4.44 TAM 103 114 108
Parker Bridwell ANA -4.1 4.53 20.0% 0.91 2.81 ATL 91 94 82
Robbie Ray ARI -5 3.78 5.56 43.5% 0.97 3.37 3.53 PIT 95 88 128
Sonny Gray OAK -7.8 4.04 6. 54.0% 1.09 4.26 1.96 CLE 109 105 131
Trevor Bauer CLE -8.8 4.17 5.9 0.452 1.09 4 2.78 OAK 85 106 108
Tyler Anderson COL 2.6 3.84 5.83 0.488 1.39 3.48 3.09 SEA 91 69 82
Tyler Pill NYM -4.1 10.04 0 0.91 10.04 MIL 97 96 65
Vince Velasquez PHI 11.1 3.73 5.43 0.357 0.94 4.1 3.3 MIA 90 90 126
Zach Davies MIL -5.8 4.27 5.66 0.467 0.91 4.38 5.01 NYM 84 100 125
Eric Skoglund KAN 8.5 0 0 1.06 DET 87 111 96


Chris Sale failed to strike out at least 10 for the first time since his initial start. Time to start a new streak? His six strikeouts were a season low. He went at least seven innings for the ninth time in 10 starts. Here’s the real surprise. His old team is the top offense in baseball against LHP (17.2 K%), by far. They have a 20.4 HR/FB over the last week, but are a bottom five offense (83 sOPS+) against power pitchers.

Dinelson Lamet gets his first career home start for the Padres. He showed his strikeout ability, whiffing eight of 20 Mets in his major league debut, but walked just two. Yes, I say “just two” because he had a 12% walk rate at AAA this season and has been above 9.5% for the most part at just above every minor league stop, yet still has managed to maintain a K-BB above 17%. As mentioned in his initial write-up, “Fangraphs gave him a 40 grade as the 25th best prospect”:http://www.fangraphs.com/blogs/prospect-reports-san-diego-padres/ in the system, calling him an eventual reliever due to the lack of a quality pitch to get LHBs out. That’s likely still the assessment after just one start as he threw just fastballs and sliders over 80% of the time to a predominantly LH Mets lineup, but he might be in a top three spot on the board tonight when the Cubs visit. I can’t explain why they’ve been so bad. The peripherals aren’t horrible, but we’ll be in June in couple of days and need to start accepting these things.

Jeff Samardzija has struck out at least eight in five straight starts, but nobody’s talking about him. He’s pitched at least two outs into the seventh in six straight, allowing more than three runs just once. He’s had two rough starts in Colorado and Arizona and then another rough inning in New York, but has otherwise shown some of the best stuff of his career. In fact, his 24.6 K-BB% is now fourth among qualified pitchers. He’s walked just one batter in May. His issue has been a 27.4 LD%, but he has just a 6.0 Hard-Soft% with a reasonable 86.4 mph aEV. Washington is a good offense that doesn’t strike out a lot, but the park could neutralize them.

Luis Severino dropped seven Royals in eight shutout innings in his last start. His 21.3 K-BB% remains a top 10 mark in the majors. His 51.4 GB% gives him the best chance of keeping the ball in the yard as often as possible in these tough AL East parks, though he has allowed seven HRs. While LHBs have a lower wOBA (.260 to .280) against him this year, his repertoire is more suited to RHBs, which he’ll face the large majority of in the Baltimore lineup. He has a 30.8 K% against RHBs this year and the Orioles are in a state of disarray offensively. They have a 24.4 K-BB%, higher than their 22.6 Hard% over the last week.

Michael Wacha lasted just four innings against the Dodgers in LA last time out and may have the worst defense in the majors behind him, but he now has the best K-BB (15.9%) since his short rookie season. It was the first time he hadn’t gone six innings this season and he’s struck out at least five in all but one start (his longest of the season). He’s managed contact extremely well with a hard contact rate below 25% and 83.7 mph aEV that’s second on the board. The Dodgers are a quality offense against RHP, as he well knows now, but they will strike out a bit and have been less potent on the road, while his performance improves a bit at home.

Robbie Ray has thrown seven shutout innings in each of his last two starts in San Diego and then Milwuakee. He’s on the road for a third straight start, which is a great thing, especially with that destination being Pittsburgh. While the Pirates strike out less than those other two teams (21.6% vs LHP) and take a lot of walks (11.3% vs LHP), which is a concern against his nearly matching 11.7 BB%, it’s a tremendously power suppressing park for RHBs (10.1 HR/FB at home), while his hard hit (44.8% this year with an 88.9 mph aEV) drops to a more manageable 36.1% on the road since last season. While still not ideal, that plays with a 30% strikeout rate.

Tyler Anderson is having a fantastic May with a 25.0 K-BB%, 58.9 GB% and -11.6 Hard-Soft% that trumps even what he did last year. That type of profile will play in any park and it’s great to see him back. He’s struck out at least seven in all four starts this month, while his velocity has slowly bumped up a tick as he’s been throwing fewer fastballs and more changeups. An extra bonus, Seattle has been one of the worst offenses in baseball against LHP despite just a 9.2 K-BB%, but due to a 5.4 HR/FB and 6.7 Hard-Soft%.

Vince Velasquez is still struggling to get through six innings, but his 20.2 K-BB% over his last four starts is a welcome improvement from the 9.6% he was running through his first five. His 43.3 Hard% over this most recent span is more of a concern and has led to four HRs, but the peripherals might be something we can use. The major change has been favoring curveballs over changeups. The Marlins don’t really strike out as much as you’d think they do (19.9% vs RHP), but they are a below average offense in a pitcher’s park.

NOT AS GOOD AS THEY LOOK (OR THE FADE LIST)

This list is reserved for pitchers who may look attractive because their ERAs are much lower than their estimators. The reason for this is almost always extreme BABIP, LOB, and/or HR/FB deviation from the norm, so we’ll just quote those stats and be done with them.

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

Ivan Nova (.286 – 76.1% – 8.5) has a 12.8 career HR/FB, mostly as a product of Yankee Stadium, but this is probably too much of a drop under current circumstances. He’s gone at least six innings in every start, but isn’t missing enough bats to be useful enough for us here. Although, he costs $2K less on DraftKings, where we could consider him in an SP2 role against a predominantly RH Arizona lineup that has been good against RHP (16.6 HR/FB), but still strike out a lot and have been poor on the road (25.6 K%), while entering a park that destroys RH power tonight.

Gio Gonzalez (.264 – 88.9% – 16.1 HR/FB) has the top matchup on the board in San Francisco, but is allowing the hardest contact of his career (32.9%) with a 12.3 BB%. His 10 HRs allowed are already more than halfway to a career high. Three of his last five starts have gone fewer than six innings, while his low ERA is almost entirely a product of a fluke strand rate.

Matt Andriese (.272 – 82.3% – 16.4) does a nice job of missing bats at a slightly above average rate. He may be a bit under-rated while the Texas offense is a bit over-valued (20.9 K-BB% over the last week), but the park makes this a more difficult spot (Rangers 34.5 Hard%, 15.5 HR/FB at home), while HRs have been an issue for him.

Eddie Butler (.220 – 84.2% – 0.0)

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

Jose Quintana allowed eight runs in his last start and is now carrying an ERA not much below five. While I’ve been a doubter over the last year due to a SwStr% that has not supported his K%, the interesting thing is that he’s carried a double digit SwStr% in each of his last two starts and is not more in line with his career rate (8.5%). The strikeout rate is still a career high and I wouldn’t expect him to remain much above average. The Red Sox have just a 3.0 K-BB% and 14.0 K% against LHP even if the overall performance against southpaws has been below average.

Kenta Maeda struggled through a three run first before shutting down the Cardinals for the next four innings to make at least something out of his return from the DL. He faces the same offense again on their home turf, which is actually a more positive run environment. He has the fifth best SwStr% in baseball among those with at least 40 IP, which is not entirely reflected in his K%. While he was allowed to pitch at least seven innings in two of his three starts previous to the hamstring injury, the Dodgers more cautiously yanked him with fewer than 80 pitches last time out and he hasn’t gone more than five innings in six of his eight starts now.

Justin Verlander is in a nice spot in Kansas City, but is now an even more extreme fly ball pitcher (29.2 GB%) with more hard contact (34.8%, 88.2 mph aEV) and below average peripherals (10.9 K-BB%). Most people will probably consider him for name value at a high cost, which makes him an excellent fade candidate.

Jose Berrios allowed three HRs in Baltimore last time out (all solo shots), but still struck out seven with just two walks and has now struck out 18 of his last 52 batters, finally starting to show some of that tremendous potential. He’s pitched into the seventh inning in all three starts this year. The main reason for his omission tonight is that he’s in the toughest spot on the board and I didn’t forget there’s a game at Coors tonight. Houston is the best offense in baseball and has just a 13.1 K% with a 17.7 HR/FB over the last week.

Ariel Miranda

Chris Tillman has the second lowest rate of Barrels (2.1% per PA) on the board, but also a career low 15.8 K% with a 9.5 BB%. You don’t want to start putting Yankees on base and allow that much contact in a small park.

Eric Skoglund sounds like the villain for the next Avengers movie, but is actually the closest thing we get to prospect among the young pitchers making their first starts tonight. He’s the only one making his major league debut and was the eight ranked prospect in the organization via Fangraphs with a 45 grade, projecting him as a potential “back of the rotation innings eater”:http://www.fangraphs.com/blogs/top-20-prospects-kansas-city-royals/ if all goes right. A college arm, he’s ascended through the minors at about a level per year with a K-BB between 15% and 16.3% at virtually every stop. This would seem like a useful pitcher (he’s just above the minimum on DK, not available on FanDuel) in some spots, but the Detroit RHBs are hammering LHP this season (42.3 Hard%, 16.3 HR/FB).

Asher Wojciechowski started three games for the Astros back in early 2015, posting an ERA above seven. He’d been a low strikeout, occasionally high walk pitcher for many years in the minors. This year, in five starts, the 28 year-old has turned in a 23.0 K-BB% at AAA with just a 25.4 GB%. In four relief innings in the majors this year, he has a 12.5 K-BB% with a 25 GB%. The strikeouts are interesting and he looks to have the top defense in the majors behind him, but I’m not sure how those five starts translate to the majors, especially against a Toronto offense who’s early season numbers are somewhat skewed themselves without Josh Donaldson. The offense has been quite a bit better now that everyone appears healthy.

J.A. Happ faced just 16 batters in his lone rehab start. He hasn’t pitched in over a month due to an elbow issue.

Zach Davies

Nick Martinez

Justin Nicolino

Bartolo Colon

Mike Fiers

Tyler Pill was probably never supposed to see the major leagues. The 27 year-old is minor league depth with a K-BB below 5% at AAA this season. If you told the Mets he was going to be starting a game for him this year, they’d know they were in serious trouble. He wasn’t even on the 40 man roster until a few days ago. The Mets simply ran out of pitchers and with Matz nearing a return, it would be a surprise if this weren’t his only start.

Parker Bridwell is not available on either site.

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%
Ariel Miranda Mariners L2 Years 20.7% 8.1% Road 17.5% 10.9% L14 Days 27.7% 10.6%
Asher Wojciechowski Reds L2 Years 17.7% 5.9% Road 0.0% 25.0% L14 Days 18.8% 6.3%
Bartolo Colon Braves L2 Years 15.5% 4.1% Road 12.2% 4.3% L14 Days 11.3% 7.0%
Chris Sale Red Sox L2 Years 30.1% 4.8% Road 26.7% 5.3% L14 Days 28.6% 1.8%
Chris Tillman Orioles L2 Years 18.0% 8.5% Home 20.8% 9.8% L14 Days 13.7% 7.8%
Dinelson Lamet Padres L2 Years 40.0% 10.0% Home L14 Days 40.0% 10.0%
Eddie Butler Cubs L2 Years 14.9% 8.9% Road 17.1% 8.0% L14 Days 10.8% 18.9%
Gio Gonzalez Nationals L2 Years 22.2% 9.1% Road 19.1% 8.3% L14 Days 26.5% 14.3%
Ivan Nova Pirates L2 Years 16.5% 4.8% Home 17.2% 3.9% L14 Days 6.2% 1.5%
J.A. Happ Blue Jays L2 Years 21.5% 6.8% Home 23.5% 6.1% L14 Days
Jeff Samardzija Giants L2 Years 20.6% 5.9% Home 22.5% 6.4% L14 Days 28.6% 1.8%
Jose Berrios Twins L2 Years 19.7% 10.8% Home 22.0% 10.0% L14 Days 34.6% 5.8%
Jose Quintana White Sox L2 Years 21.4% 6.0% Home 23.8% 5.4% L14 Days 29.2% 2.1%
Justin Nicolino Marlins L2 Years 9.8% 6.6% Home 9.7% 5.4% L14 Days 15.0% 10.0%
Justin Verlander Tigers L2 Years 24.9% 6.9% Road 25.0% 8.6% L14 Days 16.4% 7.3%
Kenta Maeda Dodgers L2 Years 24.7% 6.8% Road 24.6% 6.5% L14 Days 17.4% 8.7%
Luis Severino Yankees L2 Years 23.2% 7.7% Road 23.4% 8.5% L14 Days 27.5% 7.8%
Matt Andriese Rays L2 Years 20.5% 6.1% Road 19.7% 6.2% L14 Days 18.5% 3.7%
Michael Wacha Cardinals L2 Years 20.9% 7.8% Home 20.6% 7.5% L14 Days 23.3% 11.6%
Mike Fiers Astros L2 Years 19.8% 7.3% Road 17.2% 7.3% L14 Days 10.6% 4.3%
Nick Martinez Rangers L2 Years 12.5% 8.5% Home 11.5% 5.8% L14 Days 17.8% 6.7%
Parker Bridwell Angels L2 Years 20.0% 6.7% Home 28.6% 0.0% L14 Days
Robbie Ray Diamondbacks L2 Years 26.2% 9.6% Road 30.9% 10.2% L14 Days 29.4% 5.9%
Sonny Gray Athletics L2 Years 19.0% 7.5% Road 17.8% 9.1% L14 Days 38.8% 6.1%
Trevor Bauer Indians L2 Years 22.2% 9.4% Home 21.9% 8.4% L14 Days 32.6% 6.5%
Tyler Anderson Rockies L2 Years 21.7% 6.4% Home 22.5% 6.2% L14 Days 26.9% 7.7%
Tyler Pill Mets L2 Years 0.0% 20.0% Home L14 Days 0.0% 20.0%
Vince Velasquez Phillies L2 Years 26.3% 8.7% Road 21.9% 9.1% L14 Days 27.1% 6.3%
Zach Davies Brewers L2 Years 18.7% 7.0% Road 17.3% 7.3% L14 Days 10.4% 8.3%
Eric Skoglund Royals L2 Years 0.0% 0.0% Home L14 Days

K/BB Chart – Opponent

Opponent Split K% BB% Split K% BB% Split K% BB%
Rockies Home 21.7% 6.7% LH 24.2% 6.2% L7Days 20.5% 6.4%
Blue Jays Home 19.3% 8.5% RH 19.7% 7.5% L7Days 13.4% 8.8%
Angels Home 18.0% 8.4% RH 20.3% 9.0% L7Days 18.6% 9.3%
White Sox Home 21.3% 8.5% LH 17.2% 9.3% L7Days 22.7% 7.0%
Yankees Road 21.7% 9.1% RH 22.6% 9.5% L7Days 22.3% 9.2%
Cubs Road 22.5% 10.5% RH 21.8% 9.0% L7Days 25.5% 9.9%
Padres Home 22.2% 9.1% RH 25.2% 7.4% L7Days 29.0% 7.3%
Giants Home 18.9% 6.7% LH 20.3% 7.7% L7Days 17.9% 8.3%
Diamondbacks Road 25.6% 8.4% RH 23.4% 8.7% L7Days 24.3% 5.6%
Reds Road 18.4% 7.3% LH 18.7% 7.0% L7Days 21.0% 6.6%
Nationals Road 20.6% 9.0% RH 19.6% 9.6% L7Days 18.4% 7.4%
Astros Road 18.9% 8.9% RH 18.4% 7.7% L7Days 13.1% 6.7%
Red Sox Road 18.0% 9.6% LH 14.0% 11.0% L7Days 16.9% 12.6%
Phillies Road 23.6% 7.4% LH 22.4% 8.2% L7Days 23.5% 8.5%
Royals Home 19.2% 7.8% RH 21.4% 6.8% L7Days 20.1% 6.4%
Cardinals Home 21.4% 9.9% RH 20.2% 8.6% L7Days 20.2% 8.0%
Orioles Home 20.9% 8.3% RH 22.7% 6.8% L7Days 29.8% 5.4%
Rangers Home 21.2% 9.6% RH 22.4% 9.0% L7Days 26.6% 5.7%
Dodgers Road 22.4% 10.1% RH 22.6% 10.1% L7Days 29.9% 9.1%
Twins Home 21.8% 11.9% RH 22.0% 10.8% L7Days 24.9% 10.5%
Rays Road 28.6% 10.2% RH 26.5% 9.7% L7Days 25.3% 9.0%
Braves Road 20.4% 7.9% RH 20.4% 8.3% L7Days 19.4% 6.7%
Pirates Home 18.8% 9.7% LH 21.6% 11.3% L7Days 18.9% 8.9%
Indians Home 19.7% 10.0% RH 21.3% 9.2% L7Days 17.0% 9.4%
Athletics Road 24.1% 9.0% RH 23.6% 9.4% L7Days 26.5% 8.5%
Mariners Road 21.2% 8.3% LH 19.6% 10.4% L7Days 22.4% 6.3%
Brewers Road 22.7% 7.9% RH 24.1% 8.3% L7Days 26.0% 8.4%
Marlins Home 19.2% 8.2% RH 19.9% 6.7% L7Days 17.5% 7.4%
Mets Home 19.6% 9.6% RH 19.2% 9.3% L7Days 18.7% 8.1%
Tigers Road 25.3% 10.3% LH 22.2% 10.0% L7Days 25.0% 11.5%

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%
Ariel Miranda Mariners L2 Years 33.2% 14.1% 15.0% 2017 29.0% 14.5% 10.3% Road 31.3% 14.7% 12.0% L14 Days 24.1% 13.3% -3.5%
Asher Wojciechowski Reds L2 Years 30.8% 0.0% 15.4% 2017 33.3% 0.0% 16.6% Road 66.7% 0.0% 66.7% L14 Days 33.3% 0.0% 16.6%
Bartolo Colon Braves L2 Years 32.6% 11.2% 15.0% 2017 34.6% 13.2% 12.8% Road 36.8% 11.9% 22.3% L14 Days 25.9% 7.1% 5.2%
Chris Sale Red Sox L2 Years 29.5% 11.8% 11.3% 2017 31.0% 7.7% 14.5% Road 30.1% 4.5% 12.8% L14 Days 28.2% 6.3% 7.7%
Chris Tillman Orioles L2 Years 29.8% 9.9% 10.8% 2017 28.6% 0.0% 4.3% Home 33.2% 10.3% 12.4% L14 Days 30.8% 0.0% 7.7%
Dinelson Lamet Padres L2 Years 40.0% 20.0% 20.0% 2017 40.0% 20.0% 20.0% Home L14 Days 40.0% 20.0% 20.0%
Eddie Butler Cubs L2 Years 35.2% 18.3% 19.1% 2017 36.6% 0.0% 9.8% Road 36.4% 13.6% 20.1% L14 Days 42.3% 0.0% 23.1%
Gio Gonzalez Nationals L2 Years 32.7% 11.0% 13.5% 2017 33.0% 16.1% 11.0% Road 32.9% 13.6% 12.0% L14 Days 51.7% 25.0% 44.8%
Ivan Nova Pirates L2 Years 33.3% 13.9% 15.8% 2017 32.2% 8.5% 18.2% Home 31.4% 13.4% 10.8% L14 Days 31.7% 0.0% 21.7%
J.A. Happ Blue Jays L2 Years 32.7% 11.2% 14.7% 2017 36.7% 23.5% 22.4% Home 33.1% 11.4% 15.5% L14 Days
Jeff Samardzija Giants L2 Years 29.6% 12.4% 10.8% 2017 29.1% 16.4% 6.0% Home 32.3% 8.8% 12.2% L14 Days 36.8% 17.6% 15.7%
Jose Berrios Twins L2 Years 31.8% 15.0% 12.8% 2017 26.0% 11.5% 4.0% Home 33.3% 13.9% 16.1% L14 Days 20.7% 23.1% 3.5%
Jose Quintana White Sox L2 Years 30.7% 9.3% 11.9% 2017 27.6% 9.6% 7.5% Home 35.2% 14.5% 18.2% L14 Days 21.9% 8.3% 6.3%
Justin Nicolino Marlins L2 Years 31.4% 9.4% 13.1% 2017 27.3% 22.2% 18.2% Home 31.2% 5.1% 17.6% L14 Days 33.3% 66.7% 26.6%
Justin Verlander Tigers L2 Years 27.9% 9.6% 9.1% 2017 34.8% 10.0% 19.1% Road 29.1% 11.7% 11.2% L14 Days 24.4% 16.7% -7.3%
Kenta Maeda Dodgers L2 Years 28.7% 12.6% 9.2% 2017 27.7% 15.1% 10.0% Road 30.6% 15.6% 10.3% L14 Days 18.8% 0.0% 6.3%
Luis Severino Yankees L2 Years 28.8% 16.8% 7.0% 2017 31.0% 16.7% 13.8% Road 30.4% 8.9% 13.9% L14 Days 39.4% 0.0% 27.3%
Matt Andriese Rays L2 Years 35.3% 12.1% 18.3% 2017 40.9% 16.4% 25.7% Road 34.8% 13.0% 18.2% L14 Days 43.6% 14.3% 28.2%
Michael Wacha Cardinals L2 Years 29.7% 12.4% 10.4% 2017 24.8% 12.5% 7.0% Home 30.6% 11.5% 11.4% L14 Days 28.6% 20.0% 14.3%
Mike Fiers Astros L2 Years 33.2% 15.9% 15.1% 2017 32.9% 31.0% 14.8% Road 34.8% 21.6% 18.2% L14 Days 26.3% 11.8% 5.2%
Nick Martinez Rangers L2 Years 29.5% 16.1% 12.5% 2017 25.2% 15.4% 2.9% Home 31.6% 20.0% 11.4% L14 Days 24.2% 8.3% 9.0%
Parker Bridwell Angels L2 Years 54.6% 33.3% 45.5% 2017 Home 40.0% 50.0% 40.0% L14 Days
Robbie Ray Diamondbacks L2 Years 37.3% 12.1% 21.5% 2017 44.8% 12.1% 28.0% Road 36.1% 12.4% 18.7% L14 Days 25.0% 0.0% -6.3%
Sonny Gray Athletics L2 Years 30.3% 15.0% 13.5% 2017 28.6% 18.2% 13.1% Road 35.4% 21.1% 21.0% L14 Days 22.2% 20.0% 3.7%
Trevor Bauer Indians L2 Years 32.6% 14.2% 14.3% 2017 36.7% 22.4% 23.0% Home 33.3% 18.1% 17.3% L14 Days 35.7% 30.0% 25.0%
Tyler Anderson Rockies L2 Years 28.4% 16.6% 4.2% 2017 28.6% 25.0% 4.4% Home 28.2% 13.1% 2.7% L14 Days 18.2% 28.6% -9.1%
Tyler Pill Mets L2 Years 66.7% 0.0% 33.4% 2017 66.7% 0.0% 33.4% Home L14 Days 66.7% 0.0% 33.4%
Vince Velasquez Phillies L2 Years 32.4% 14.0% 15.1% 2017 37.4% 21.3% 23.7% Road 33.5% 14.9% 15.2% L14 Days 46.9% 22.2% 34.4%
Zach Davies Brewers L2 Years 33.5% 13.3% 12.8% 2017 33.3% 17.2% 9.7% Road 31.3% 12.8% 6.1% L14 Days 23.1% 30.0% -5.1%
Eric Skoglund Royals L2 Years 0.0% 0.0% 0.0% 2017 Home L14 Days

Batted Ball Charts – Opponent

Opponent Split Hard% HR/FB% Hd-St% Split Hard% HR/FB% Hd-St% Split Hard% HR/FB% Hd-St%
Rockies Home 30.6% 16.4% 10.9% LH 32.1% 18.3% 12.6% L7Days 26.4% 16.9% 3.6%
Blue Jays Home 30.2% 12.0% 10.6% RH 31.0% 14.5% 10.7% L7Days 34.8% 19.4% 17.1%
Angels Home 29.0% 13.7% 9.1% RH 30.7% 13.2% 10.5% L7Days 37.9% 13.7% 20.3%
White Sox Home 27.3% 11.6% 6.1% LH 30.7% 13.4% 11.9% L7Days 30.5% 20.4% 10.2%
Yankees Road 30.0% 12.1% 11.7% RH 31.0% 16.8% 11.3% L7Days 29.9% 8.8% 8.0%
Cubs Road 28.0% 11.9% 8.0% RH 29.6% 12.2% 12.7% L7Days 26.1% 17.5% 5.2%
Padres Home 26.1% 10.5% 2.5% RH 28.4% 13.9% 5.9% L7Days 27.6% 9.1% 4.3%
Giants Home 24.5% 7.9% 2.8% LH 26.0% 7.8% 5.4% L7Days 31.3% 6.9% 9.7%
Diamondbacks Road 29.0% 13.6% 8.7% RH 37.0% 16.6% 20.8% L7Days 30.1% 12.7% 5.2%
Reds Road 28.8% 13.3% 7.9% LH 29.2% 16.5% 6.9% L7Days 30.4% 19.3% 10.5%
Nationals Road 30.8% 14.0% 12.3% RH 31.6% 14.3% 14.4% L7Days 31.8% 13.8% 12.7%
Astros Road 31.3% 12.3% 13.2% RH 31.2% 14.8% 13.2% L7Days 30.5% 17.7% 14.3%
Red Sox Road 34.0% 10.9% 15.7% LH 33.1% 6.8% 9.7% L7Days 33.0% 7.0% 16.8%
Phillies Road 29.1% 10.9% 6.1% LH 30.8% 16.7% 9.3% L7Days 29.3% 13.0% 5.5%
Royals Home 30.1% 9.5% 10.4% RH 31.7% 12.8% 11.9% L7Days 31.7% 15.4% 15.2%
Cardinals Home 30.1% 9.8% 10.4% RH 31.0% 11.8% 12.4% L7Days 30.7% 9.0% 13.0%
Orioles Home 27.0% 12.5% 7.0% RH 30.0% 14.5% 10.3% L7Days 22.6% 10.4% 5.3%
Rangers Home 34.5% 15.5% 15.9% RH 33.2% 14.7% 13.1% L7Days 32.8% 12.9% 12.5%
Dodgers Road 33.3% 10.4% 17.4% RH 35.2% 14.4% 20.6% L7Days 35.7% 20.7% 20.8%
Twins Home 33.5% 10.9% 17.6% RH 34.1% 13.6% 19.1% L7Days 34.9% 9.7% 19.8%
Rays Road 36.6% 18.1% 18.4% RH 36.9% 17.6% 19.5% L7Days 39.0% 15.5% 24.6%
Braves Road 31.4% 10.9% 13.3% RH 31.3% 10.6% 13.5% L7Days 33.0% 2.0% 17.8%
Pirates Home 30.4% 10.1% 8.9% LH 28.9% 14.0% 8.3% L7Days 30.8% 13.7% 6.3%
Indians Home 31.3% 14.0% 15.3% RH 34.3% 12.6% 18.0% L7Days 32.4% 19.0% 17.4%
Athletics Road 35.6% 11.8% 17.3% RH 35.6% 16.2% 19.5% L7Days 31.2% 17.9% 14.9%
Mariners Road 30.3% 9.8% 12.2% LH 28.8% 5.4% 6.7% L7Days 35.0% 6.5% 16.7%
Brewers Road 29.0% 17.5% 9.8% RH 33.3% 18.2% 14.0% L7Days 31.1% 11.1% 8.7%
Marlins Home 32.3% 14.7% 11.2% RH 31.1% 13.0% 11.0% L7Days 29.4% 15.1% 7.0%
Mets Home 32.7% 8.4% 12.7% RH 35.4% 11.9% 17.5% L7Days 43.7% 11.5% 25.2%
Tigers Road 35.6% 12.6% 18.6% LH 42.3% 16.3% 26.2% L7Days 32.3% 12.3% 15.9%

K/SwStr Chart (2017 LG AVG – 20.5 K% – 9.6 SwStr% – 2.14 K/SwStr)

Getting called strikeouts can be a skill, but it’s usually not a sustainable one at a large deviation from the league rate (catcher framing and other factors may make some difference here). K% correlates heavily with SwStr% though. Look for a large difference and you might find a potential adjustment before anyone else.

Pitcher Team K% Season SwStr% Season K%/SwStr% K% L30 Days SwStr% L30 Days K%/SwStr%
Ariel Miranda SEA 22.6% 9.8% 2.31 23.3% 11.5% 2.03
Asher Wojciechowski CIN 18.8% 9.4% 2.00 18.8% 9.4% 2.00
Bartolo Colon ATL 14.4% 4.8% 3.00 9.4% 3.5% 2.69
Chris Sale BOS 36.7% 16.1% 2.28 36.0% 15.1% 2.38
Chris Tillman BAL 15.8% 6.6% 2.39 15.8% 6.6% 2.39
Dinelson Lamet SDG 40.0% 12.1% 3.31 40.0% 12.1% 3.31
Eddie Butler CHC 15.0% 8.2% 1.83 15.0% 8.2% 1.83
Gio Gonzalez WAS 20.8% 9.1% 2.29 22.2% 9.1% 2.44
Ivan Nova PIT 13.2% 7.1% 1.86 12.5% 7.9% 1.58
J.A. Happ TOR 29.0% 10.0% 2.90
Jeff Samardzija SFO 28.6% 11.6% 2.47 31.2% 12.2% 2.56
Jose Berrios MIN 27.9% 10.8% 2.58 27.9% 10.8% 2.58
Jose Quintana CHW 23.1% 8.2% 2.82 22.9% 8.1% 2.83
Justin Nicolino MIA 16.7% 7.3% 2.29 16.7% 7.3% 2.29
Justin Verlander DET 21.7% 9.0% 2.41 19.9% 9.7% 2.05
Kenta Maeda LOS 23.7% 14.5% 1.63 23.0% 14.9% 1.54
Luis Severino NYY 27.6% 11.1% 2.49 23.3% 10.5% 2.22
Matt Andriese TAM 21.1% 10.0% 2.11 21.8% 10.1% 2.16
Michael Wacha STL 23.4% 10.0% 2.34 23.3% 9.2% 2.53
Mike Fiers HOU 18.4% 9.1% 2.02 18.3% 7.7% 2.38
Nick Martinez TEX 13.4% 6.4% 2.09 10.6% 5.6% 1.89
Parker Bridwell ANA
Robbie Ray ARI 29.8% 12.8% 2.33 29.4% 12.8% 2.30
Sonny Gray OAK 23.3% 11.2% 2.08 23.3% 11.2% 2.08
Trevor Bauer CLE 27.3% 8.5% 3.21 26.3% 8.1% 3.25
Tyler Anderson COL 23.6% 12.9% 1.83 27.2% 14.0% 1.94
Tyler Pill NYM 0.0% 5.3% 0.00 0.0% 5.3% 0.00
Vince Velasquez PHI 24.3% 10.6% 2.29 25.2% 11.5% 2.19
Zach Davies MIL 16.5% 7.1% 2.32 14.4% 6.5% 2.22
Eric Skoglund KAN

ERA Estimators Chart (2017 LG AVG – 4.14 ERA – 4.20 SIERA – 4.15 xFIP – 4.23 FIP)

How a pitcher’s ERA matches up against his defense independent estimators.

Pitcher Team Season
ERA
Season
SIERA
DIFF Season
xFIP
DIFF Season
FIP
DIFF Season
DRA
DIFF ERA
L30
SIERA
L30
DIFF xFIP
L30
DIFF FIP
L30
DIFF
Ariel Miranda SEA 4.22 4.16 -0.06 4.44 0.22 4.67 0.45 4.40 0.18 4.61 4.35 -0.26 4.68 0.07 4.26 -0.35
Asher Wojciechowski CIN 2.25 5.04 2.79 6.12 3.87 2.27 0.02 5.59 3.34 2.25 5.04 2.79 6.12 3.87 2.27 0.02
Bartolo Colon ATL 6.96 4.78 -2.18 4.78 -2.18 4.79 -2.17 8.23 1.27 8.63 5.34 -3.29 5.45 -3.18 5.27 -3.36
Chris Sale BOS 2.34 2.29 -0.05 2.43 0.09 1.8 -0.54 1.43 -0.91 3.57 2.46 -1.11 2.75 -0.82 2.48 -1.09
Chris Tillman BAL 4.43 4.85 0.42 4.53 0.1 3.02 -1.41 3.73 -0.70 4.43 4.85 0.42 4.53 0.1 3.02 -1.41
Dinelson Lamet SDG 1.8 2.61 0.81 2.73 0.93 3.62 1.82 3.13 1.33 1.8 2.61 0.81 2.73 0.93 3.62 1.82
Eddie Butler CHC 1.93 6.05 4.12 5.1 3.17 3.88 1.95 6.21 4.28 1.93 6.05 4.12 5.1 3.17 3.88 1.95
Gio Gonzalez WAS 2.9 4.79 1.89 4.58 1.68 4.97 2.07 4.42 1.52 4.4 5.3 0.9 4.99 0.59 6.44 2.04
Ivan Nova PIT 2.83 4.09 1.26 3.7 0.87 3.19 0.36 4.95 2.12 3.35 4.12 0.77 3.7 0.35 3.25 -0.1
J.A. Happ TOR 4.5 2.53 -1.97 2.34 -2.16 3.77 -0.73 5.46 0.96
Jeff Samardzija SFO 4.5 2.95 -1.55 2.89 -1.61 3.27 -1.23 2.63 -1.87 2.95 2.42 -0.53 2.41 -0.54 2.2 -0.75
Jose Berrios MIN 1.66 3.26 1.6 4.01 2.35 3.76 2.1 2.23 0.57 1.66 3.27 1.61 4.01 2.35 3.76 2.1
Jose Quintana CHW 4.82 4.18 -0.64 4.36 -0.46 3.81 -1.01 3.92 -0.90 4.45 4.02 -0.43 4.19 -0.26 2.99 -1.46
Justin Nicolino MIA 5.4 5.15 -0.25 5.06 -0.34 6.12 0.72 6.26 0.86 5.4 5.15 -0.25 5.06 -0.34 6.12 0.72
Justin Verlander DET 4.87 4.72 -0.15 5.16 0.29 4.56 -0.31 3.18 -1.69 5.12 5.13 0.01 5.76 0.64 5.42 0.3
Kenta Maeda LOS 5.08 3.76 -1.32 3.89 -1.19 4.19 -0.89 4.91 -0.17 2.95 3.84 0.89 3.82 0.87 2.85 -0.1
Luis Severino NYY 3.11 3.14 0.03 2.92 -0.19 3.27 0.16 2.53 -0.58 3.21 3.85 0.64 3.6 0.39 3.59 0.38
Matt Andriese TAM 3.24 4.19 0.95 4.08 0.84 4.48 1.24 4.02 0.78 2.89 4.19 1.3 4.17 1.28 3.96 1.07
Michael Wacha STL 3.66 3.79 0.13 3.56 -0.1 3.49 -0.17 3.49 -0.17 4.91 3.72 -1.19 3.21 -1.7 3.38 -1.53
Mike Fiers HOU 5.21 4.56 -0.65 4.67 -0.54 7.56 2.35 8.60 3.39 5.27 4.55 -0.72 4.82 -0.45 7.26 1.99
Nick Martinez TEX 4.69 4.81 0.12 4.83 0.14 5.2 0.51 5.58 0.89 5.6 5.33 -0.27 5.37 -0.23 5.91 0.31
Parker Bridwell ANA
Robbie Ray ARI 3.45 3.73 0.28 3.75 0.3 3.62 0.17 3.08 -0.37 3.34 3.71 0.37 4.15 0.81 3.39 0.05
Sonny Gray OAK 3.34 3.42 0.08 3.21 -0.13 3.69 0.35 2.72 -0.62 3.34 3.42 0.08 3.21 -0.13 3.69 0.35
Trevor Bauer CLE 6.3 3.54 -2.76 3.41 -2.89 4.6 -1.7 3.32 -2.98 6.33 3.75 -2.58 3.53 -2.8 4.83 -1.5
Tyler Anderson COL 5.4 3.8 -1.6 3.57 -1.83 4.91 -0.49 4.46 -0.94 3.94 3.37 -0.57 3.03 -0.91 4.57 0.63
Tyler Pill NYM 13.5 10.04 -3.46 17.15 3.65 12.02 -1.48 1.00 -12.50 13.5 10.04 -3.46 17.15 3.65 12.02 -1.48
Vince Velasquez PHI 5.55 4.04 -1.51 3.95 -1.6 4.97 -0.58 4.28 -1.27 4.94 3.65 -1.29 3.49 -1.45 4.3 -0.64
Zach Davies MIL 5.33 4.82 -0.51 4.8 -0.53 5.39 0.06 7.05 1.72 4.23 4.99 0.76 4.87 0.64 6.49 2.26
Eric Skoglund KAN


Jeff Samardzija has a career high .320 BABIP, but with a 27.4 LD%, he’s lucky it’s not higher. That said, he’s not allowing a lot of hard contact, which bodes well for that number and his 66.7 LOB%. As mentioned earlier, it’s really just a few poor starts in tough parks.

Tyler Anderson is still allowing HRs. It’s now 12 for the year and three in four May starts. He has a 25.0 HR/FB, but is back to generating lots of ground balls again.

Vince Velasquez also has a HR problem (21.3 HR/FB) and is allowing way too much hard contact.

BABIP & Statcast Chart (2017 LG AVG – .288 BABIP – 44.3 GB% – 20.3 LD% – 9.0 IFFB% – 86.6 Z-Contact%)

A few years back, both Dan Rosencheck and Steve Staude separately found that high Infield Fly Ball (IFFB) rates and low Zone Contact (Z-Contact) rates correlated well with lower BABIP for pitchers. I won’t pretend to know how much of the variation in BABIP can be explained by these factors, but since they seem to have some effect, here they are. See if you can use it to your advantage.

It’s presented as the difference between team and pitcher BABIP allowed because team defense can explain a lot of the variance from league average on its own. A pitcher with a much lower BABIP than his team allows is a red flag absent further supporting evidence, while a pitcher with a much higher BABIP than his team allows may have something to offer in the future, especially with the right indicators.

Pitcher Team Team BABIP Pitcher BABIP Diff GB% Pitcher LD% Pitcher IFFB% Pitcher Zcontact Exit
Velocity
Barrels
BBE
Barrels
PA
BBE
Ariel Miranda SEA 0.287 0.262 -0.025 39.3% 0.147 14.5% 86.1% 87 7.70% 5.30% 155
Asher Wojciechowski CIN 0.276 0.250 -0.026 25.0% 0 11.1% 88.9%
Bartolo Colon ATL 0.281 0.341 0.06 42.9% 0.201 11.8% 92.5% 88.8 8.00% 6.30% 188
Chris Sale BOS 0.307 0.261 -0.046 38.5% 0.199 10.8% 75.2% 86.7 7.00% 4.00% 158
Chris Tillman BAL 0.306 0.357 0.051 44.3% 0.3 16.7% 93.2% 87.9 2.90% 2.10% 70
Dinelson Lamet SDG 0.299 0.222 -0.077 20.0% 0.3 0.0% 84.9%
Eddie Butler CHC 0.295 0.220 -0.075 45.0% 0.3 30.0% 86.6% 84.9 2.40% 1.70% 41
Gio Gonzalez WAS 0.298 0.264 -0.034 45.2% 0.175 6.5% 85.8% 85.8 6.90% 4.60% 173
Ivan Nova PIT 0.309 0.286 -0.023 50.2% 0.238 6.8% 93.3% 88.7 5.50% 4.60% 236
J.A. Happ TOR 0.301 0.311 0.01 42.9% 0.224 0.0% 86.9% 90.6 12.20% 8.70% 49
Jeff Samardzija SFO 0.302 0.320 0.018 38.5% 0.274 9.8% 82.2% 86.4 7.10% 4.70% 182
Jose Berrios MIN 0.270 0.106 -0.164 36.0% 0.12 15.4% 84.2% 88 8.00% 5.10% 50
Jose Quintana CHW 0.264 0.293 0.029 38.0% 0.193 15.1% 90.7% 86.3 5.70% 3.80% 174
Justin Nicolino MIA 0.279 0.355 0.076 50.0% 0.219 0.0% 86.0% 87.6 6.10% 4.20% 33
Justin Verlander DET 0.302 0.284 -0.018 29.2% 0.202 8.9% 85.6% 88.2 9.60% 6.40% 178
Kenta Maeda LOS 0.290 0.295 0.005 35.2% 0.224 7.5% 81.7% 84.2 4.60% 3.20% 130
Luis Severino NYY 0.283 0.268 -0.015 51.4% 0.19 7.1% 86.9% 87.8 9.00% 5.90% 145
Matt Andriese TAM 0.274 0.272 -0.002 46.4% 0.208 10.9% 83.5% 88.8 7.00% 4.90% 171
Michael Wacha STL 0.288 0.315 0.027 45.6% 0.224 2.5% 83.9% 83.7 4.70% 3.20% 129
Mike Fiers HOU 0.282 0.271 -0.011 43.9% 0.169 6.9% 86.9% 87.4 10.70% 7.70% 150
Nick Martinez TEX 0.287 0.275 -0.012 44.9% 0.174 13.5% 89.1% 86.4 8.60% 7.00% 139
Parker Bridwell ANA 0.281
Robbie Ray ARI 0.288 0.265 -0.023 37.4% 0.209 15.5% 82.3% 88.9 7.70% 4.40% 143
Sonny Gray OAK 0.283 0.250 -0.033 58.5% 0.146 4.5% 87.9% 87.1 4.80% 3.30% 84
Trevor Bauer CLE 0.298 0.328 0.03 42.6% 0.213 12.2% 86.1% 90.5 12.20% 7.90% 139
Tyler Anderson COL 0.282 0.309 0.027 44.2% 0.247 10.4% 81.7% 83.1 8.70% 5.90% 161
Tyler Pill NYM 0.317 0.333 0.016 0.0% 0.333 0.0% 100.0%
Vince Velasquez PHI 0.290 0.310 0.02 42.8% 0.232 10.6% 84.7% 89.6 7.90% 5.10% 139
Zach Davies MIL 0.312 0.335 0.023 43.9% 0.222 12.1% 89.8% 86.6 8.00% 5.90% 174
Eric Skoglund KAN 0.302


Chris Sale has been generating some pop-ups (7) and has the second best Z-Contact% in baseball. He’s been a more extreme fly ball pitcher this year, which actually tends not to benefit LHP BABIP that much in Boston, but it seems to work for him.

Pitcher Notes & Summary

daily%20pitcher%20chart%202

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

Luis Severino (2) continues to enjoy a breakout season. While I suggest every time out that he’ll need to further develop his arsenal to continue to be successful against LHBs, he won’t have to worry about that here and faces the coldest set of bats in the majors. I think you’ll likely get an ownership advantage above the next two arms listed as well as this is perceived to be a tough spot, but don’t take my word for that.

Jeff Samardzija (3) has been turning elite peripherals and still costs less than $9K. He’s not in an easy spot against the Nationals, but a great park should help with that somewhat.

Chris Sale (1) costs more than $2.5K more than any other pitcher tonight on either site. He’s the top overall arm by a wide margin, but has one of the worst matchups. Yes, he is facing the White Sox.

Value Tier Two

Vince Velasquez (5) has a HR problem and contact issues have only gotten worse in recent starts. However, the peripherals (Ks & BBs) have improved to a borderline elite level over his last four starts. He’s in a nice spot at a reasonable cost tonight.

Robbie Ray (4) improves his outlook in Pittsburgh, perhaps the park most tailor built to his skill set, but walk rate is both the main strength of the Pittsburgh offense and a major weakness of his.

Value Tier Three

Tyler Anderson appears to be back and would be even higher, but he still has a bit of a HR problem and Coors is never going to be a favorable spot to pitch.

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.

Michael Wacha has done some quality work this season. He’s not in an easy spot against an offense that mashed him last time out, but he gets them at home for this one and costs less than $7K on DraftKings. I don’t know that I’d consider using him on FanDuel for more than $8K, but it’s close.

Dinelson Lamet looked great in his first start. He’s not supposed to be able to dominate balanced or predominantly LH lineups that easily, but he did. He’s got an ability to miss bats. That’s not in question. The Cubs aren’t supposed to be this bad, but they are.

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.