Advanced Stats - Pitching Charts: Tuesday, May 12th

Tuesday may have more pitchers than Monday, but not necessarily better ones. Two of your potentially better choices are removed from most games right off the bat with Cleveland doing that where they start an hour early again. On the brighter side, a top pitching prospect makes his debut on Tuesday night.

Before getting to the meat of our sandwich, just a reminder that the new Hard% and Soft% (and Hard-Soft% or H-S% for short) seems to correlate less with BABIP and more with stats like wRC+ and overall production because singles aren’t equal to HRs anywhere else except batting average. That’s how we’ll continue to try to use that information from now on.

Most of the stats in these charts are pulled directly from the Fangraphs.com database. If a stat is used that you are not familiar with and want to learn more about, their glossary does a terrific job of explaining all of the advanced stats I use in these charts.

Starting Pitching Main Chart

We’re using Seamheads.com 3 year park factors. Home team is in bold. Team Def = UZR/150. L2Yrs is a rolling calendar. Hm/Rd xFIP is since the start of the 2014 season. Opp team offensive stats are wRC+. Combo stats are explained below.

Pitcher Team TeamDef SIERAL2Yrs IP/GSL2Yrs GB/FBL2Yrs ParkRun Hm/RdxFIP SIERAL14 Opp OppHm/Rd Opp L/RwRC+ Opp L7wRC+ CombK% CombBB% CombLD% CombHR/FB% CombIFFB%
A.J. Burnett PIT -1.4 3.66 6.34 2.05 1.01 4.13 3.38 PHI 65 59 73 20.3% 8.0% 18.9% 9.0% 5.5%
Alfredo Simon DET 9.1 4.15 6.13 1.47 1.05 3.86 5.18 MIN 70 87 107 19.5% 8.1% 21.6% 11.1% 9.8%
Anthony DeSclafani CIN 4.7 4.12 5.46 0.94 1.02 4.39 6.57 ATL 88 98 114 15.5% 9.0% 25.0% 8.9% 5.3%
C.J. Wilson ANA 4.5 4.12 6.13 1.39 0.91 3.96 3.58 COL 96 77 90 19.9% 6.4% 21.4% 8.4% 6.5%
Carlos Carrasco CLE -7.1 2.96 5.73 1.89 0.94 2.5 3.93 STL 104 112 122 21.2% 7.4% 20.3% 10.7% 6.0%
Chris Archer TAM 8 3.71 5.89 1.49 0.94 3.49 4.45 NYY 115 108 129 21.2% 10.2% 22.9% 12.1% 8.2%
Chris Heston SFO -8 3.59 5.87 2.81 1.01 3.58 3.57 HOU 82 103 38 21.6% 7.9% 23.1% 10.0% 17.7%
Chris Sale CHW -11.3 2.75 6.82 1.24 1.07 3.41 4.9 MIL 87 69 113 23.2% 8.6% 20.5% 13.6% 7.7%
Chris Tillman BAL 11.3 4.1 6.12 1.01 1.04 4.11 4.38 TOR 96 103 122 20.0% 8.5% 22.9% 10.2% 11.1%
Collin McHugh HOU 4.2 3.4 6.01 1.29 1.01 3.23 3.79 SFO 95 100 107 19.6% 6.6% 21.8% 11.1% 8.1%
Dan Haren FLA -0.5 3.64 5.79 0.96 0.89 3.77 4.18 LOS 141 133 147 19.3% 7.9% 22.0% 14.3% 9.1%
Drew Pomeranz OAK -17.7 4.11 5.01 1.2 0.93 3.55 5.76 BOS 90 84 73 18.9% 11.2% 19.8% 10.7% 16.8%
Edinson Volquez KAN 22.2 4.14 5.79 1.58 1.08 4.02 6.42 TEX 84 71 113 20.3% 11.1% 17.7% 8.9% 7.5%
Ian Kennedy SDG -23.8 3.7 5.87 1.06 0.85 3.47 3.32 SEA 102 91 93 21.6% 7.3% 20.7% 9.5% 11.6%
Jake Arrieta CHC 1.7 3.26 6.1 1.62 1.05 2.92 2.7 NYM 73 84 92 22.4% 6.6% 21.5% 7.6% 13.5%
James Paxton SEA -12.3 3.73 5.7 2.04 0.85 3.57 4.08 SDG 95 103 101 20.1% 8.1% 19.7% 8.1% 5.0%
Justin Masterson BOS -9.8 3.74 5.64 2.66 0.93 4.25 7.18 OAK 107 112 69 16.4% 10.0% 22.1% 9.8% 12.3%
Kyle Gibson MIN 8 4.46 5.66 1.99 1.05 4.47 4.3 DET 103 104 86 15.2% 8.6% 21.5% 6.0% 9.8%
Kyle Kendrick COL 0.4 4.48 6. 1.42 0.91 4.69 5.38 ANA 93 75 88 14.4% 6.0% 21.8% 14.3% 8.6%
Lance Lynn STL 16.9 3.73 6.11 1.26 0.94 3.56 2.59 CLE 114 102 118 20.8% 8.3% 22.7% 10.0% 11.5%
Mark Buehrle TOR 5.8 4.24 6.21 1.38 1.04 4.24 4.79 BAL 130 102 98 16.8% 5.5% 24.1% 14.1% 11.2%
Mike Bolsinger LOS 10.2 3.5 5.5 2.02 0.89 2.84 FLA 94 88 93
Mike Fiers MIL 0.7 3.08 5.56 0.79 1.07 3.47 2.69 CHW 81 99 120 24.3% 8.8% 27.2% 15.4% 16.4%
Mike Foltynewicz ATL -10.1 4.57 5.05 0.6 1.02 4.41 4.98 CIN 81 87 106 19.4% 9.5% 20.2% 10.1% 13.7%
Nathan Eovaldi NYY -6.2 4.06 5.96 1.35 0.94 4.05 5.43 TAM 114 97 111 17.7% 7.6% 20.4% 11.8% 11.5%
Nick Martinez TEX 3.1 5.13 5.5 0.85 1.08 5.37 2.71 KAN 115 109 100 13.5% 6.0% 23.0% 6.8% 8.9%
Noah Syndergaard NYM 2.4 0 0 1.05 CHC 84 92 92
Rubby de la Rosa ARI 7.7 4 5.71 1.31 1.09 3.83 3.61 WAS 92 98 153 21.6% 8.4% 18.4% 13.9% 6.8%
Sean O’Sullivan PHI -0.4 4.95 5.71 1.3 1.01 4 PIT 71 81 100
Stephen Strasburg WAS -9 2.86 6.13 1.57 1.09 2.85 3.69 ARI 88 93 130 22.3% 7.1% 24.9% 11.5% 9.3%

A.J. Burnett makes his return to Philadelphia after a season he would like to forget last year. He’s gone at least six innings in each of his last five starts and hasn’t allowed more than two earned runs in a start this season. He’s been good, but not that good. He also has the lowest SwStr% of his career. The Phillies are terrible at home, vs RHP, and at impacting the baseball in general (1.6 team Hard-Soft%), remaining the day’s top matchup.

Alfredo Simon is coming off back to back rough road starts after a solid April for the most part. His ERA sits as an exact replica to his 3.44 last year. Are these the same tricks he showed us last year? We’ll explore more below. Minnesota is the 2nd worst road offense, with a 4.5 HR/FB, and strike out 23.5% vs RHP.

Anthony DeSclafani has been pretty awful lately. He’s walked nine of his last 49 batters and now has just an 8.1 K-BB% on the season. The Braves have just a 15.3 K% vs RHP.

C.J. Wilson has allowed two ERs or fewer in five of his six starts and more importantly hasn’t walked more than one in four of those. That’s even more important to any success he may have with a waning strikeout rate, putting his K-BB at 10.5%. The defense is really helping him out as well, especially in the BABIP department (see BABIP Chart below). Colorado has not done well against LHP, striking out 23.5% of the time against them. They do impact the baseball harder than any other team though (17.3 H-S%), a mark that’s surprisingly even higher on the road (19.4%), though closer to league average (12.4%) vs LHP.

Chris Archer has fallen apart over his last two starts, walking eight and allowing nine ERs over 9.1 IP. The good news is that he’s still missing bats at an elite rate and has the 4th best K% (29.9) in the majors. He desperately needs to find that strike zone again though, because the Yankees will be patient and wait him out and have a 14.1 HR/FB vs RHP.

Chris Heston has become a little bit of a sleeper for me, flying under the radar out there in San Francisco, but had his first bad start outside of Colorado last time out at home against the Padres. Even so, he sustains a respectable 11.9 K-BB% and has a great 0.0 H-S% with the 10th lowest hit hard rate (21.7%) in the majors. He faces the coldest bats in the majors, who have struck out 26.2% at home, 24.5% vs RHP, and 26.8% over the last week.

Chris Sale is struggling right now and may be better than his present ERA, but definitely hasn’t been as good as we’ve come to expect from him, though he still maintains an elite -1.2 H-S%. Five walks really hurt him in his last start, but were likely just a freak thing. Milwaukee has been more competent overall lately and lean RH, but have the 3rd worst offense vs LHP with an 18.3 K-BB%, though a 14.8 HR/FB. They’ve homered on 20% of their fly balls over the last week.

Collin McHugh is coming off his strongest start in a few weeks against the Angels. I’m not sure anybody really expected a repeat of his breakout last year, but he’s been very good with a 16.7 K-BB% that represents just a small drop off. He does have a slightly concerning 32.2 Hard%, which has led to a rise in his HR/FB to 13.5 early on. The Giants have struck out in just 14.9% of their plate appearances over the last week and just 17.2% vs RHP this year.

Dan Haren faces the mighty righty smashers in Dodgerland, though Tom Koehler fared well against them last night. He’s held the opposition to two runs or fewer in five of his six starts, but no. You’ll find out why later. The Dodgers wRC+, BB%, and HR/FB across all charts remain simply awesome. They are the worst park adjusted matchup of the day (adding all wRC+ then multiplying by park factor), even in a pitcher’s park.

Drew Pomeranz had an encouraging quality start to open his season and has been a big ball of yuck ever since. He probably hasn’t been that bad as you’ll see in the ERA chart and he’s only stranding 54.7% of his runners, but it hasn’t been good either. Maybe a matchup with a Boston offense that hasn’t done much at home will help, though they do have a 13.0 BB% and 14.7 HR/FB vs LHP.

Edinson Volquez had his first real blowup in a Kansas City uniform, walking six Cleveland hitters and has not registered a softly hit ball in either of his last two outings (48.2 H-S%). The Rangers have been better, but are still the 2nd worst offense vs RHP with just a 15.6 LD%.

Ian Kennedy is coming off two solid outings in a row and didn’t even allow a HR in his last one (five in the two prior). Adding his H-S% (18.0) to Seattle’s this season (16.6%) gives you largest rate of the day (34.6%), so even at Safeco, don’t be surprised if there are some hard hit balls. Kennedy will try to temper that with a strong K rate and does have just a 5.5 HR/FB on the road since the start of last season, while the Mariners have just a 4.2 HR/FB over the last week. It’s worth remarking that the San Diego defense has been the worst in the league, so he better be striking batters out.

Jake Arrieta has the day’s lowest combined estimators and highest K-BB (15.8%) in today’s main chart. Early on, I was a bit concerned about his inability to miss bats at nearly last year’s rate and while that’s improved a bit, there are still issues we’ll talk about later. However, his -5.7 H-S% is best of the day’s qualified starts and he is top five in the majors in both Hard and Soft%, so his slider is still good for something. The Mets offense has been below average in basically every aspect.

James Paxton has been pitching better recently, but has walked eight of his last 80 batters. San Diego impacts the baseball with the 4th best Hard-Soft% (13.4) in the majors, but has really been mediocre offensively and has just a 3.6 HR/FB vs LHP, though Paxton has a 12.8 HR/FB at Safeco since the start of last season.

Justin Masterson has the day’s highest combined estimators and lowest K-BB (6.4%) in today’s main chart. He walked six of 24 batters in his last start and has a 3.3 K-BB% on the season with his velocity continuing to free fall. He does still possess the ability to induce weak contact though (3.8 H-S% this season)

Kyle Gibson hasn’t allowed a run over 14 IP in his last two starts, but that’s a lot of BABIP magic with just five strikeouts. A 2.3 H-S% in those outings bears out some weak contact though. The Tigers have just a 5.9 HR/FB at home and major league low 3.9 HR/FB over the last week.

Kyle Kendrick has allowed at least two HRs in four of his last five starts, three of which have been on the road. His 43.2 Hard% is worst in the league among qualified starters, but not even worst of the day. The Angels don’t hit RHP, but I suspect one Mr. Trout to potentially be the top owned batter of the day.

Mike Bolsinger pitched well in his first spot start for the Dodgers in April and has a 38.4 K% in 19 AAA innings this season. He had some issues with hard hit balls and a 15.9 HR/FB with the Diamondbacks last year, but had a respectable 13.0 K-BB%, so maybe getting out of the desert will help him. Perhaps we’re looking at a cheap source of Ks tonight as the Marlins will strike out.

Mike Fiers would have the highest hard hit rate in the majors at 50% if he had a few more inningsn to qualify. I was vocal about not being a believer last year, but the reason for that was what I thought was an unsustainable strikeout rate which is really the only thing he has continued to do well. The White Sox have been hitting the ball well over the last week, including just a 12.1 K% and 14.0 HR/FB.

Mike Foltynewicz has issues with control that have followed him to the majors with a 12.1 BB% through two starts and that could be trouble against a Cincinnati team with a 23.8 K% at home, but a 16.7 HR/FB. They have a 14.1 HR/FB vs RHP.

Nathan Eovaldi has shown no real improvement as a Yankee and in fact, his 37.7 Hard% is 4th worst in the majors. Tampa Bay has hit well at home (13.9 HR/FB) and has a 16.7 HR/FB over the last week.

Noah Syndergaard is the Mets’ top prospect and one of the top pitching prospects in baseball. After struggling a bit in an extreme hitter’s environment in Las Vegas, the Mets decided not to call him up and allow him to deal with maturity issues as well. There was a bit of a scare health-wise last month that turned out to be tendinitis and he has returned to dominate Vegas with three above average pitches and a blazing fastball to the tune of a 30.1 K%. Like most young prospects, he’s still yet to complete master the control and command portion of his game, but at 22 years old, that’s expected to come and his 7.1 BB% isn’t really bad. The great news here is the Cubs 26.2 K% at home, 25.8 K% vs RHP, and 30.1 K% over the last seven days. Syndergaard vs Bryant will be a heavily watched matchup by baseball fans tonight.

Rubby de la Rosa has allowed one ER or less, while pitching seven innings in two of his last three starts and can be forgiven for being roughed up by the Dodgers in between. He owns an 18.3 K-BB% and would be considered an under-valued asset tonight if the Nationals weren’t crushing the ball at the moment. They have a 25.0 HR/FB over the last week and 13.1 HR/FB vs RHP.

Sean O’Sullivan is this interesting: when you click to a player’s page on Fangraphs, there’s are links to the most recent articles about them at the top, under the player’s name and the last one about him from January of 2011 stating that he wasn’t worth drafting for your fantasy team.

Stephen Strasburg shaking his shoulder in his last start while Matt Williams leaves him in for another inning then states that all is good after a trip to the chiropractor. Sure, I’ll buy that with his history, especially considering he’s only had one really good start this year and that came against the Phillies.

Combo K/BB Charts

These are the Combo K & BB numbers from above fleshed out. They are weighted equally in the main chart above. They probably shouldn’t be, but originally were due to size limitations. What’s the correct weighting? Who knows? But now you have all 6 components (Pitcher: L2Yrs, H/R, L14Days – Opposition: H/A, vL/R, L7Days) that make up the above numbers.

Pitcher Team K% BB% Split K% BB% Split K% BB%
A.J. Burnett Pirates 21.6% 9.2% Road 18.5% 9.8% L14 Days 22.0% 10.0%
Alfredo Simon Tigers 15.7% 7.0% Home 15.6% 6.2% L14 Days 16.7% 12.5%
Anthony DeSclafani Reds 18.0% 6.8% Home 16.1% 4.7% L14 Days 12.2% 18.4%
C.J. Wilson Angels 19.6% 9.5% Home 19.1% 8.4% L14 Days 17.0% 1.9%
Carlos Carrasco Indians 24.0% 6.3% Home 28.8% 6.1% L14 Days 22.6% 9.4%
Chris Archer Rays 21.4% 8.2% Home 23.0% 8.9% L14 Days 28.3% 17.4%
Chris Heston Giants 17.9% 7.1% Road 17.3% 5.8% L14 Days 17.0% 7.6%
Chris Sale White Sox 28.2% 5.6% Road 25.6% 6.9% L14 Days 20.8% 14.6%
Chris Tillman Orioles 19.1% 8.0% Home 17.3% 7.5% L14 Days 18.9% 9.4%
Collin McHugh Astros 22.3% 5.9% Home 25.4% 5.9% L14 Days 18.5% 3.7%
Dan Haren Marlins 20.1% 4.7% Road 19.7% 5.8% L14 Days 14.3% 0.0%
Drew Pomeranz Athletics 21.2% 10.8% Home 25.7% 8.8% L14 Days 13.3% 13.3%
Edinson Volquez Royals 18.6% 9.3% Road 17.9% 7.4% L14 Days 16.3% 20.9%
Ian Kennedy Padres 22.9% 8.5% Road 23.7% 7.9% L14 Days 22.0% 4.0%
Jake Arrieta Cubs 24.4% 7.5% Home 26.1% 5.9% L14 Days 27.7% 4.3%
James Paxton Mariners 20.2% 8.6% Home 19.8% 7.0% L14 Days 20.0% 9.1%
Justin Masterson Red Sox 21.4% 10.8% Road 17.8% 11.0% L14 Days 5.9% 17.7%
Kyle Gibson Twins 12.8% 8.0% Road 13.5% 9.0% L14 Days 9.4% 5.7%
Kyle Kendrick Rockies 13.3% 6.5% Road 11.5% 6.7% L14 Days 4.4% 2.2%
Lance Lynn Cardinals 22.1% 8.4% Road 23.9% 8.6% L14 Days 30.8% 5.8%
Mark Buehrle Blue Jays 14.5% 5.5% Road 12.8% 4.6% L14 Days 8.5% 6.4%
Mike Bolsinger Dodgers 20.3% 7.3% Home 18.1% 3.2% L14 Days
Mike Fiers Brewers 27.4% 7.3% Home 26.0% 7.9% L14 Days 42.6% 14.9%
Mike Foltynewicz Braves 17.4% 9.9% Road 17.0% 5.7% L14 Days 18.8% 12.5%
Nathan Eovaldi Yankees 16.9% 6.3% Road 15.7% 6.1% L14 Days 9.6% 7.7%
Nick Martinez Rangers 12.1% 8.4% Home 11.2% 8.6% L14 Days 8.7% 2.2%
Noah Syndergaard Mets 0.0% 0.0% Road L14 Days
Rubby de la Rosa Diamondbacks 18.2% 7.3% Home 18.8% 7.8% L14 Days 27.7% 10.6%
Sean O’Sullivan Phillies 11.9% 8.7% Home 15.6% 3.9% L14 Days
Stephen Strasburg Nationals 26.9% 6.1% Road 25.1% 5.9% L14 Days 22.5% 7.5%

Combo K/BB Charts – Opponent

Opponent Split K% BB% Split K% BB% Split K% BB%
Phillies Home 18.4% 6.7% RH 20.0% 6.1% L7Days 21.2% 6.0%
Twins Road 22.5% 7.9% RH 23.5% 7.0% L7Days 22.7% 8.0%
Braves Road 16.5% 8.6% RH 15.3% 8.8% L7Days 14.9% 6.6%
Rockies Road 21.7% 4.9% LH 23.5% 7.5% L7Days 18.2% 6.1%
Cardinals Road 19.1% 8.1% RH 16.3% 7.6% L7Days 16.2% 6.6%
Yankees Road 17.8% 9.5% RH 19.1% 8.8% L7Days 17.4% 8.3%
Astros Home 26.2% 9.7% RH 24.5% 8.7% L7Days 26.8% 8.3%
Brewers Home 22.3% 7.9% LH 22.8% 4.5% L7Days 19.6% 11.8%
Blue Jays Road 23.5% 8.0% RH 21.0% 9.0% L7Days 19.9% 9.0%
Giants Road 19.5% 8.3% RH 17.2% 8.3% L7Days 14.9% 7.7%
Dodgers Home 21.3% 10.4% RH 20.1% 11.2% L7Days 20.3% 15.4%
Red Sox Road 16.6% 10.4% LH 20.9% 13.0% L7Days 15.9% 10.6%
Rangers Home 20.9% 9.7% RH 21.4% 9.0% L7Days 26.5% 10.2%
Mariners Home 19.5% 7.6% RH 20.8% 7.3% L7Days 20.5% 8.2%
Mets Road 19.7% 6.9% RH 18.4% 8.0% L7Days 18.1% 7.0%
Padres Road 20.6% 7.0% LH 21.1% 7.5% L7Days 18.9% 9.6%
Athletics Home 14.8% 7.9% RH 16.9% 7.0% L7Days 21.5% 5.5%
Tigers Home 18.2% 9.6% RH 18.9% 8.9% L7Days 18.6% 10.6%
Angels Home 19.3% 7.7% RH 20.2% 6.9% L7Days 17.4% 6.0%
Indians Home 16.2% 10.1% RH 16.4% 7.8% L7Days 15.1% 9.1%
Orioles Home 21.6% 6.6% LH 16.4% 4.6% L7Days 26.8% 5.1%
Marlins Road 23.3% 7.3% RH 21.9% 6.8% L7Days 24.0% 6.7%
White Sox Road 19.0% 6.0% RH 18.6% 7.3% L7Days 12.1% 9.1%
Reds Home 23.8% 9.7% RH 20.3% 8.8% L7Days 19.3% 10.4%
Rays Home 23.4% 8.6% RH 21.1% 9.0% L7Days 19.4% 7.9%
Royals Road 16.1% 5.1% RH 16.7% 5.8% L7Days 16.1% 5.7%
Cubs Home 26.2% 9.5% RH 25.8% 8.8% L7Days 30.1% 7.9%
Nationals Road 20.7% 8.2% RH 21.5% 8.3% L7Days 22.6% 8.0%
Pirates Road 24.0% 6.0% RH 19.7% 6.1% L7Days 14.7% 9.3%
Diamondbacks Home 19.4% 8.3% RH 19.7% 7.0% L7Days 20.4% 7.9%

Combo Batted Ball Charts

See the explanation for the K/BB chart above.

Pitcher Team LD% HR/FB% IFFB% Split LD% HR/FB% IFFB% Split LD% HR/FB% IFFB%
A.J. Burnett Pirates 19.6% 10.2% 5.4% Road 19.1% 9.3% 4.6% L14 Days 11.8% 14.3% 0.0%
Alfredo Simon Tigers 20.8% 10.4% 8.4% Home 20.9% 15.4% 12.1% L14 Days 28.1% 15.4% 0.0%
Anthony DeSclafani Reds 21.6% 8.3% 4.8% Home 22.7% 10.2% 4.1% L14 Days 36.4% 11.1% 0.0%
C.J. Wilson Angels 22.1% 7.8% 7.8% Home 21.5% 7.5% 10.4% L14 Days 18.6% 7.1% 7.1%
Carlos Carrasco Indians 20.3% 7.5% 4.4% Home 19.2% 8.6% 3.4% L14 Days 22.2% 15.4% 7.7%
Chris Archer Rays 20.9% 9.1% 11.5% Home 23.6% 8.2% 14.4% L14 Days 28.0% 12.5% 0.0%
Chris Heston Giants 24.3% 7.4% 22.2% Road 33.3% 12.5% 50.0% L14 Days 25.6% 0.0% 0.0%
Chris Sale White Sox 20.9% 9.9% 10.7% Road 17.4% 7.5% 11.8% L14 Days 25.8% 16.7% 8.3%
Chris Tillman Orioles 21.2% 11.5% 9.6% Home 22.1% 7.5% 7.5% L14 Days 31.6% 8.3% 8.3%
Collin McHugh Astros 23.8% 11.6% 9.2% Home 23.5% 12.7% 7.8% L14 Days 14.8% 20.0% 4.0%
Dan Haren Marlins 20.2% 12.2% 9.4% Road 20.2% 13.9% 8.0% L14 Days 23.8% 0.0% 11.1%
Drew Pomeranz Athletics 19.7% 11.7% 13.3% Home 16.4% 8.9% 17.8% L14 Days 24.2% 7.1% 21.4%
Edinson Volquez Royals 19.5% 9.5% 6.2% Road 18.6% 13.1% 7.1% L14 Days 14.8% 0.0% 0.0%
Ian Kennedy Padres 22.7% 11.1% 8.7% Road 21.4% 5.5% 12.8% L14 Days 20.0% 16.7% 25.0%
Jake Arrieta Cubs 22.5% 7.7% 13.3% Home 19.8% 3.7% 14.8% L14 Days 19.4% 10.0% 10.0%
James Paxton Mariners 19.8% 10.0% 6.0% Home 16.5% 12.8% 5.1% L14 Days 18.9% 8.3% 8.3%
Justin Masterson Red Sox 20.0% 13.1% 11.5% Road 20.9% 12.7% 9.1% L14 Days 27.0% 10.0% 20.0%
Kyle Gibson Twins 20.1% 8.9% 11.4% Road 15.6% 10.0% 14.2% L14 Days 20.9% 0.0% 11.1%
Kyle Kendrick Rockies 20.7% 12.0% 11.1% Road 20.4% 11.9% 9.6% L14 Days 26.8% 30.8% 0.0%
Lance Lynn Cardinals 21.7% 6.6% 11.8% Road 23.7% 9.8% 10.8% L14 Days 27.3% 10.0% 20.0%
Mark Buehrle Blue Jays 22.2% 7.9% 11.6% Road 24.8% 8.0% 15.9% L14 Days 30.8% 25.0% 12.5%
Mike Bolsinger Dodgers 21.2% 14.6% 4.2% Home 22.5% 20.0% 0.0% L14 Days
Mike Fiers Brewers 21.0% 14.1% 11.9% Home 23.1% 13.7% 12.3% L14 Days 45.0% 33.3% 33.3%
Mike Foltynewicz Braves 19.8% 8.3% 18.8% Road 22.0% 5.3% 26.3% L14 Days 18.2% 6.3% 6.3%
Nathan Eovaldi Yankees 22.3% 7.3% 7.3% Road 23.6% 7.3% 6.5% L14 Days 14.3% 16.7% 11.1%
Nick Martinez Rangers 20.7% 7.1% 11.4% Home 19.7% 8.7% 11.5% L14 Days 23.1% 0.0% 0.0%
Noah Syndergaard Mets 0.0% 0.0% 0.0% Road L14 Days
Rubby de la Rosa Diamondbacks 20.2% 12.3% 7.4% Home 18.2% 10.3% 7.4% L14 Days 7.1% 13.3% 0.0%
Sean O’Sullivan Phillies 17.9% 10.0% 8.3% Home 20.3% 18.2% 9.1% L14 Days
Stephen Strasburg Nationals 20.9% 11.3% 8.4% Road 23.8% 14.0% 6.5% L14 Days 38.5% 0.0% 14.3%

Combo Batted Ball Charts – Opponent

Opponent Split LD% HR/FB% IFFB% Split LD% HR/FB% IFFB% Split LD% HR/FB% IFFB%
Phillies Home 20.2% 7.2% 7.2% RH 21.5% 6.6% 9.2% L7Days 20.9% 6.3% 6.3%
Twins Road 20.1% 4.5% 15.9% RH 20.9% 9.0% 13.6% L7Days 19.0% 11.9% 8.5%
Braves Road 22.8% 6.8% 7.5% RH 22.6% 9.1% 7.4% L7Days 24.1% 7.8% 7.8%
Rockies Road 21.6% 13.3% 7.8% LH 22.4% 5.1% 2.6% L7Days 21.9% 9.7% 3.2%
Cardinals Road 21.1% 12.8% 10.3% RH 21.2% 9.1% 6.6% L7Days 18.0% 10.7% 3.6%
Yankees Road 20.7% 12.7% 8.7% RH 21.4% 14.1% 7.9% L7Days 22.8% 16.1% 6.5%
Astros Home 15.7% 16.8% 10.7% RH 22.2% 14.6% 12.7% L7Days 17.6% 8.6% 10.3%
Brewers Home 20.2% 12.6% 7.1% LH 16.5% 14.8% 1.9% L7Days 22.1% 20.0% 6.2%
Blue Jays Road 18.4% 10.3% 13.5% RH 17.9% 12.2% 13.5% L7Days 26.1% 11.6% 14.0%
Giants Road 24.6% 10.2% 7.1% RH 21.9% 7.6% 9.6% L7Days 22.0% 4.3% 10.9%
Dodgers Home 23.7% 18.4% 11.3% RH 22.0% 19.6% 10.5% L7Days 22.3% 21.7% 4.3%
Red Sox Road 18.0% 11.0% 14.8% LH 20.2% 14.7% 16.2% L7Days 20.1% 10.5% 17.5%
Rangers Home 19.9% 9.1% 12.4% RH 15.6% 6.5% 9.5% L7Days 17.6% 14.9% 9.5%
Mariners Home 21.1% 9.1% 7.7% RH 19.6% 10.5% 7.1% L7Days 19.4% 4.2% 8.3%
Mets Road 23.1% 8.3% 14.1% RH 22.7% 6.4% 13.2% L7Days 21.7% 9.4% 15.6%
Padres Road 19.1% 8.8% 5.0% LH 23.4% 3.6% 3.6% L7Days 20.2% 5.0% 1.7%
Athletics Home 22.5% 4.7% 10.1% RH 22.6% 10.5% 9.8% L7Days 19.8% 7.8% 13.0%
Tigers Home 23.6% 5.9% 7.8% RH 22.3% 7.1% 6.7% L7Days 26.7% 3.9% 7.8%
Angels Home 22.5% 10.3% 11.7% RH 20.4% 8.6% 9.5% L7Days 19.7% 12.2% 9.8%
Indians Home 23.7% 8.7% 7.1% RH 20.7% 13.1% 9.5% L7Days 19.2% 11.5% 9.8%
Orioles Home 24.6% 16.8% 7.6% LH 20.3% 6.1% 10.2% L7Days 21.7% 20.8% 9.4%
Marlins Road 25.6% 11.4% 8.1% RH 23.1% 8.4% 9.5% L7Days 27.9% 11.1% 8.9%
White Sox Road 22.7% 7.2% 16.5% RH 25.0% 10.1% 13.7% L7Days 26.5% 14.0% 10.5%
Reds Home 19.9% 16.7% 10.8% RH 20.5% 14.1% 12.2% L7Days 20.6% 9.8% 7.8%
Rays Home 20.6% 13.9% 14.6% RH 19.9% 8.8% 12.7% L7Days 21.9% 16.7% 16.7%
Royals Road 26.3% 7.8% 10.4% RH 23.4% 8.4% 10.1% L7Days 24.6% 8.5% 10.2%
Cubs Home 23.2% 10.0% 13.6% RH 20.7% 12.2% 12.7% L7Days 23.5% 15.0% 6.7%
Nationals Road 20.4% 9.6% 7.5% RH 20.4% 13.1% 10.7% L7Days 23.9% 25.0% 7.7%
Pirates Road 22.2% 7.9% 10.3% RH 21.0% 8.9% 7.9% L7Days 23.9% 9.1% 9.1%
Diamondbacks Home 20.7% 11.4% 9.4% RH 21.6% 11.8% 8.7% L7Days 23.8% 20.3% 8.5%

K/SwStr Chart (2015 LG AVG – 20.1 K% – 9.3 SwStr% – 2.16 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%
A.J. Burnett PIT 20.5% 7.7% 2.66 18.3% 7.2% 2.54
Alfredo Simon DET 15.2% 7.6% 2.00 15.6% 8.5% 1.84
Anthony DeSclafani CIN 18.2% 9.9% 1.84 17.1% 8.9% 1.92
C.J. Wilson ANA 16.7% 6.9% 2.42 18.5% 7.1% 2.61
Carlos Carrasco CLE 29.2% 12.6% 2.32 25.8% 12.0% 2.15
Chris Archer TAM 29.9% 12.5% 2.39 31.5% 12.6% 2.50
Chris Heston SFO 18.1% 9.0% 2.01 17.7% 7.8% 2.27
Chris Sale CHW 21.3% 10.8% 1.97 21.3% 10.8% 1.97
Chris Tillman BAL 16.3% 6.3% 2.59 16.1% 6.3% 2.56
Collin McHugh HOU 21.2% 11.2% 1.89 22.0% 11.1% 1.98
Dan Haren FLA 17.0% 5.3% 3.21 18.2% 5.8% 3.14
Drew Pomeranz OAK 19.7% 8.5% 2.32 18.3% 8.4% 2.18
Edinson Volquez KAN 19.7% 10.7% 1.84 20.3% 11.0% 1.85
Ian Kennedy SDG 18.3% 12.4% 1.48 18.1% 13.2% 1.37
Jake Arrieta CHC 25.0% 8.1% 3.09 24.8% 9.2% 2.70
James Paxton SEA 20.1% 7.8% 2.58 19.8% 7.3% 2.71
Justin Masterson BOS 15.2% 5.8% 2.62 12.5% 5.0% 2.50
Kyle Gibson MIN 7.1% 7.0% 1.01 8.3% 6.8% 1.22
Kyle Kendrick COL 13.1% 5.6% 2.34 11.1% 4.7% 2.36
Lance Lynn STL 28.4% 9.8% 2.90 26.2% 9.4% 2.79
Mark Buehrle TOR 9.1% 4.2% 2.17 10.2% 4.1% 2.49
Mike Bolsinger LOS 21.7% 4.9% 4.43 21.7% 4.9% 4.43
Mike Fiers MIL 30.2% 11.2% 2.70 29.6% 10.4% 2.85
Mike Foltynewicz ATL 18.8% 7.7% 2.44 18.8% 7.7% 2.44
Nathan Eovaldi NYY 16.8% 8.0% 2.10 19.4% 8.7% 2.23
Nick Martinez TEX 9.9% 7.5% 1.32 7.9% 7.3% 1.08
Noah Syndergaard NYM
Rubby de la Rosa ARI 24.8% 10.8% 2.30 26.0% 10.6% 2.45
Sean O’Sullivan PHI 14.3% 7.2% 1.99 14.3% 7.2% 1.99
Stephen Strasburg WAS 21.3% 7.0% 3.04 22.3% 7.3% 3.05

Dan Haren – His declining K rate is even worse than it looks. He has only surpassed a 6.6 SwStr% once. His previous career low for a season is a 7.0 SwStr% last year.

Ian Kennedy has had a strong SwStr% in every game except the first start he left due to injury. His previous career high is a 10.7 SwStr%, but he did have a 24.5 K% last season, which I could easily see him repeating. Padre pitchers know they can’t pitch to contact this year.

Jake Arrieta has had a SwStr rate above 9% in just one start and is down just over 2 points from 10.1% last year, but hasn’t lost much off his K%. Look for a slight drop in K% if this continues, consequently brining his ERA estimators up to meet his ERA.

Kyle Gibson – While I was really hoping his 1.6 K/SwStr would lead him to more strikeouts this year, he just decided to miss fewer bats and continue the trend this year. It’s still way too early in his career to call him another Jerome Williams (a low K/SwStr outlier), but even if that were the case, we still have to expect something better. I can’t help but wonder if the Minnesota team philosophy of pitching to contact through his minor league career is now holding him back.

Mike Fiers has sustained and even increased his K% by bringing his SwStr up to 11.2%. His current K% is really borderline sustainable, but better than his 2.92 K/SwStr. None of it’s going to matter if everything that is hit is hit hard.

Stephen Strasburg has a double digit SwStr% in two starts and maxes out at 5.5% in his other four. Yikes?

ERA Estimators Chart (2015 LG AVG – 3.89 ERA – 3.80 SIERA – 3.89 xFIP – 3.89 FIP)

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

Pitcher Team SeasonERA SeasonSIERA DIFF SeasonxFIP DIFF SeasonFIP DIFF ERAL30 SIERAL30 DIFF xFIPL30 DIFF FIPL30 DIFF
A.J. Burnett PIT 1.66 3.52 1.86 3.49 1.83 3.23 1.57 1.38 3.9 2.52 3.8 2.42 3.19 1.81
Alfredo Simon DET 3.44 4.35 0.91 4.15 0.71 3.86 0.42 3.16 4.22 1.06 4.06 0.9 3.99 0.83
Anthony DeSclafani CIN 2.5 4.58 2.08 4.55 2.05 4.07 1.57 2.4 4.87 2.47 4.62 2.22 4.02 1.62
C.J. Wilson ANA 2.7 4.25 1.55 4.24 1.54 3.28 0.58 3.38 4.12 0.74 4.16 0.78 3.34 -0.04
Carlos Carrasco CLE 4.71 2.72 -1.99 2.61 -2.1 3.02 -1.69 6.04 3.12 -2.92 2.98 -3.06 3.74 -2.3
Chris Archer TAM 2.59 2.82 0.23 2.8 0.21 2.84 0.25 2.25 2.74 0.49 2.67 0.42 2.27 0.02
Chris Heston SFO 3.38 3.46 0.08 3.37 -0.01 3.18 -0.2 4.02 3.42 -0.6 3.27 -0.75 3.22 -0.8
Chris Sale CHW 5.93 3.83 -2.1 3.77 -2.16 3.89 -2.04 5.93 3.84 -2.09 3.77 -2.16 3.89 -2.04
Chris Tillman BAL 6.25 5.2 -1.05 5.01 -1.24 5.46 -0.79 7.56 5.18 -2.38 4.97 -2.59 5.52 -2.04
Collin McHugh HOU 3.23 3.38 0.15 3.38 0.15 3.75 0.52 3.55 3.33 -0.22 3.4 -0.15 3.91 0.36
Dan Haren FLA 2.68 4.34 1.66 4.36 1.68 4.62 1.94 2.9 4.24 1.34 4.28 1.38 4.61 1.71
Drew Pomeranz OAK 5.12 4.18 -0.94 4.23 -0.89 4.13 -0.99 6.57 4.53 -2.04 4.57 -2 4.9 -1.67
Edinson Volquez KAN 2.65 4.13 1.48 4.04 1.39 3.1 0.45 3.07 4.17 1.1 3.95 0.88 3.22 0.15
Ian Kennedy SDG 5.03 3.91 -1.12 3.8 -1.23 5.85 0.82 5.71 3.84 -1.87 3.77 -1.94 6.1 0.39
Jake Arrieta CHC 3.41 3.01 -0.4 2.87 -0.54 2.53 -0.88 4.2 2.83 -1.37 2.7 -1.5 2.56 -1.64
James Paxton SEA 5.08 3.88 -1.2 3.86 -1.22 4.28 -0.8 5.53 3.95 -1.58 3.92 -1.61 4.31 -1.22
Justin Masterson BOS 5.18 4.87 -0.31 4.89 -0.29 4.64 -0.54 5.67 5.38 -0.29 5.52 -0.15 5.27 -0.4
Kyle Gibson MIN 2.97 5.5 2.53 5.13 2.16 4.67 1.7 1.65 4.85 3.2 4.55 2.9 3.98 2.33
Kyle Kendrick COL 8.73 4.73 -4 4.85 -3.88 7.25 -1.48 11.08 5.16 -5.92 5.38 -5.7 8.69 -2.39
Lance Lynn STL 3.82 2.99 -0.83 3 -0.82 2.45 -1.37 4.3 3.24 -1.06 3.09 -1.21 2.71 -1.59
Mark Buehrle TOR 6 4.92 -1.08 4.53 -1.47 5.4 -0.6 6.67 4.67 -2 4.33 -2.34 5.27 -1.4
Mike Bolsinger LOS 1.59 3.54 1.95 3.42 1.83 2.45 0.86 1.59 3.57 1.98 3.42 1.83 2.45 0.86
Mike Fiers MIL 5.46 3.21 -2.25 3.32 -2.14 4.47 -0.99 4.74 3.45 -1.29 3.48 -1.26 4.62 -0.12
Mike Foltynewicz ATL 5.23 4.97 -0.26 5.28 0.05 4.41 -0.82 5.23 4.98 -0.25 5.28 0.05 4.41 -0.82
Nathan Eovaldi NYY 3.97 4.1 0.13 3.98 0.01 4.48 0.51 3.77 3.87 0.1 3.76 -0.01 4.59 0.82
Nick Martinez TEX 1.47 4.7 3.23 4.6 3.13 3.4 1.93 1.82 4.72 2.9 4.75 2.93 3.59 1.77
Noah Syndergaard NYM
Rubby de la Rosa ARI 4.38 3.35 -1.03 3.47 -0.91 4.02 -0.36 3.41 3.21 -0.2 3.39 -0.02 3.47 0.06
Sean O’Sullivan PHI 4.91 4.21 -0.7 4.75 -0.16 6.79 1.88 4.91 4.21 -0.7 4.75 -0.16 6.79 1.88
Stephen Strasburg WAS 4.73 3.69 -1.04 3.78 -0.95 2.78 -1.95 4.67 3.37 -1.3 3.33 -1.34 2.64 -2.03

A.J. Burnett may look rejuvenated in Pittsburgh and there are certain aspects of being in Pittsburgh over Philadelphia that may help him defensively (like catcher framing and efficient shifting), but he’s not going to continue stranding 90% of his runners. He’s had a LOB above 83% in every single start.

Alfredo Simon is doing some of the things he did last year to keep his ERA well below his estimators, but not to as much of an extent. His BB and K rates are almost exact replicas, but his BABIP has risen to a more reasonable .289 and his HR/FB has decreased to 8.3 from 11.8, which is understandable when leaving Cincinnati.

Anthony DeSclafani is walking too many batters, but his ERA is being propped up by a .216 BABIP. He is exhibiting an elite Zone Contact rate, but that’s not going to be enough to keep his BABIP this low. He also gets an assist from a strong Cincinnati defense, so he may be able to keep some of that suppression over the course of the season.

Chris Sale has a fairly pedestrian 13.1 K-BB% that is not bad for your average pitcher, but not nearly good enough for him. His .378 BABIP and resulting 63.7 LOB% are partly the result of a 23.8 LD%, but also a porous White Sox defense. That’s one area to expect regression and hopefully the five walks last time out were just a freak aberration.

Dan Haren – The velocity, K%, and SwStr% remain in decline, but the ERA is below four for the first time in four years and below three for the first time ever. That’s because his BABIP is below .200 and his LOB is 89.8%. There is really nothing in his indicators that would suggest any BABIP suppressing talents. When that adjustment happens, he’ll probably be a little bit worse than he was last year and the year before because that’s what age related decline is.

Edinson Volquez – His 10.5 K-BB% is actually the 3rd best of his career and was even better until his last start. Only one of his 35 fly balls has left the yard and while we can’t expect that to continue, maybe Kansas City can keep the HR/FB in single digits. The .236 BABIP is really more a product of his defense than him as he hasn’t induced a single IFFB yet. That will regress some as his defense does most likely, but it has only wrought him a 65.7 LOB%. I still think his situation in Kansas City can prop him up and make him look better than his estimators (similar, but not as extreme as Pittsburgh last season) if he can keep the walks down.

Ian Kennedy – Five HRs resulting in a 27.8 HR/FB is the easy answer to why his FIP is so high, but the other estimators well below his ERA (remember FIP doesn’t normalize HR/FB). The estimators should look better with an expected rise in K%.

James Paxton has stranded just 60.5% of his runners, although that’s been a highly volatile issue for him as he’s had a LOB greater than 80% in two of his six starts.

Kyle Gibson keeps the ball on the ground and doesn’t seem to get hit all that hard, which is reflected more in his 6.5 HR/FB than his 23.5 LD% so far. As such, he’s unlikely to sustain a low BABIP with no supporting indicators. His -2.7 K-BB%, which should improve, but not be nearly good when his K% rises, will likely hamper anything he does from a batted ball standpoint.

Mark Buehrle is coming off his best start, against a Yankee team that has owned him no less, though six of the 18 batted balls were still hit hard and that’s really the big issue here. A career high 34.8% of batted balls are being hit hard despite a career high 13.9 IFFB%. It shows up both in his 28.1 LD% and 16.7 HR/FB.

Mike Fiers has a 20.1 K-BB% with a 10.1 BB%. He gets a bit more credit for the potential to sustain a better K rate with a higher SwStr, though there’s probably still some drop to it, but he is being rocked when contact is being made and it’s not a fluke. He’s a fly ball pitcher in a bad park with an 18.8 HR/FB and 11.5 career rate right now. He also had a 25.7 career LD%. He’s shown an ability to generate pop ups and his Z-Contact% would be 4th best in the majors if he qualified, so there’s reason for some optimism in his BABIP, but this is quite the contrast from a buy with a .224 BABIP last year. How about somewhere in the middle? The contact authority and park still make me lean closer to the FIP than other estimators.

Stephen Strasburg – The .394 BABIP and following 65.3 LOB% are the issues, where only one of 33 fly balls have left the yard for a guy with a 10.8 career HR/FB. The LD rate often runs a little high and sits at 25.2% this year, though his 12.1 IFFB% would be a career best. The contact against him isn’t otherwise particularly hard aside from his line drive rate, but I’m worried about the estimators rising if he doesn’t start missing enough bats to justify or even increase his K%. Health is obviously a question mark here until he proves it isn’t.

BABIP Chart (2015 LG AVG – .291 BABIP – 9.9 IFFB% – 86.9 Z-Contact%)

A couple of years ago, 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. For example, if a pitcher has a much lower BABIP than his team’s allowed (red), then you look for some factors that may support it and maybe you’re onto something (check batted ball profile too).

Pitcher Team Team BABIP Pitcher BABIP Diff Pitcher IFFB% Pitcher Zcontact
A.J. Burnett PIT 0.306 0.295 -0.011 7.7% 93.5%
Alfredo Simon DET 0.284 0.289 0.005 5.6% 88.0%
Anthony DeSclafani CIN 0.266 0.216 -0.05 9.8% 81.0%
C.J. Wilson ANA 0.263 0.246 -0.017 12.8% 92.1%
Carlos Carrasco CLE 0.344 0.356 0.012 5.0% 84.4%
Chris Archer TAM 0.259 0.255 -0.004 11.1% 79.8%
Chris Heston SFO 0.287 0.339 0.052 25.0% 86.4%
Chris Sale CHW 0.325 0.378 0.053 7.7% 84.9%
Chris Tillman BAL 0.267 0.316 0.049 18.9% 90.5%
Collin McHugh HOU 0.267 0.282 0.015 5.4% 82.8%
Dan Haren FLA 0.280 0.194 -0.086 8.0% 91.3%
Drew Pomeranz OAK 0.281 0.305 0.024 22.5% 86.4%
Edinson Volquez KAN 0.257 0.236 -0.021 0.0% 83.7%
Ian Kennedy SDG 0.292 0.268 -0.024 16.7% 80.0%
Jake Arrieta CHC 0.301 0.311 0.01 17.9% 87.1%
James Paxton SEA 0.292 0.282 -0.01 2.7% 91.0%
Justin Masterson BOS 0.309 0.311 0.002 8.0% 93.5%
Kyle Gibson MIN 0.289 0.256 -0.033 6.5% 91.4%
Kyle Kendrick COL 0.332 0.324 -0.008 8.1% 91.4%
Lance Lynn STL 0.288 0.355 0.067 12.1% 82.2%
Mark Buehrle TOR 0.289 0.373 0.084 13.9% 96.1%
Mike Bolsinger LOS 0.287 0.313 0.026 0.0% 95.0%
Mike Fiers MIL 0.303 0.408 0.105 9.4% 79.6%
Mike Foltynewicz ATL 0.293 0.375 0.082 6.3% 93.8%
Nathan Eovaldi NYY 0.292 0.358 0.066 5.7% 88.1%
Nick Martinez TEX 0.291 0.276 -0.015 15.6% 91.1%
Noah Syndergaard NYM 0.278
Rubby de la Rosa ARI 0.305 0.273 -0.032 2.4% 79.2%
Sean O’Sullivan PHI 0.311 0.206 -0.105 8.3% 91.1%
Stephen Strasburg WAS 0.323 0.394 0.071 12.1% 88.8%


Chris Heston is a heavy ground ball pitcher (2.83 GB/FB), who has been able to stay away from hard contact. Further, of the 25 fly balls he has allowed, six have been pop ups. There are definitely reasons to expect his BABIP to drop and maybe significantly. He has allowed at least eight line drives in two of his last three starts though.

Nate Eovaldi – the .358 BABIP hasn’t hurt his ERA due to an 83 LOB%, but there are no indicators that suggest that much improvement, especially with a .312 career mark.

Pitcher Notes & Summary

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A.J. Burnett – I don’t like paying this much for a pitcher who might be more defensively enabled than talented at this point, but it’s the Phillies.

C.J. Wilson – The Rockies don’t seem hapless on the road this year, but have struggled against LHP. Here they’re in a pitcher’s park going against a starter I’ve often thought was over-valued in the past, but has pitched well and cut down his walks this year. Strikeouts are down too, but the Rockies have struck out 23.5% against LHP and he has a strong defense behind him. He’s not cheap, but affordable near the middle of the board in most places.

Chris Archer – Although at home, this may not be the greatest spot to pay up for considering his recent troubles.

Chris Heston – This is one spot I’m looking at immediately at the bottom of the board for your dumpster diving play and I don’t even think he’s that bad a pitcher from what he’s shown. He’s been ok and although he’s on the road in a tougher park, the Astros have gone ice cold and have an offensive profile that might lend itself to prolonged slumps and his K rate should get a boost into relevance.

Chris Sale – About a week or two ago this would have been a dream matchup from a pitching standpoint and even though I think he’ll be ok, the defense might not be and there is some risk against a team hitting for more power that leans heavily right handed in a hitter’s park. I’d understand if you were cautious about paying the day’s top price, but there are no sure things today.

Collin McHugh – I’m not completely in love with is upside, which I think the Giants may limit with a low K rate, but he is coming off a strong outing and has pitched well this season, just not as well as last year. He’s not cheap, but affordable on most sites.
Ian Kennedy – Despite the potential of some hard hit balls and bungling defense, he should generate enough strikeouts to ensure his daily fantasy value. The park is still a plus also.

Jake Arrieta – While I’m a bit concerned about his strikeout rate being sustainable, I’m not very concerned with the Mets offense and he has been able to consistently generate weak contact this season if not as many swings and misses.

James Paxton has been decent and probably better than his ERA and that might generate some excess value at an affordable price against a potentially over-valued offense in a great park. Yes, the Padres do lean heavily towards the platoon advantage, but have merely been ok vs LHP this year and Paxton actually has a strong reverse split (.268 wOBA vs RHB through 447 batters faced) in his young career.

Mike Bolsinger – As mentioned up top, I think he could be a cheap source of strikeouts tonight, but don’t know what else. That’s a risk you can probably afford to take in GPPs at this price though.

Mike Fiers – You could get something like the 12 strikeouts and one run vs the Cubs two starts back, but it might be best to duck and pray. There’s a lot of upside, but the risk is him putting up a negative fantasy point total because half the contact he’s allowed has been hard.

Noah Syndergaard isn’t as cheap as you’d expect to see most pitchers making their major league debuts, but that’s because his reputation precedes him. It’s not expensive and likely as cheap as you’ll ever see him if things go right. There’s risk here in a young kid making his first start, but there’s risk everywhere and the potential is through the roof against a Cub offense that strikes out a ton. Remember, I am a Mets fan though so there might be the tiniest amount of if not bias, then wishful thinking, but I really do expect him to pitch well tonight.

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.