Advanced Stats - Pitching Charts: Tuesday, September 15th

On Tuesday night, baseball has the DFS stage all to itself again. We welcome aboard all of those who are looking to double up on their NFL Week 1 winnings or make up their losses along with regular DFS baseball players as well of course.

For those new to this column or DFS baseball in general, what we try to do here is use advanced stats to come to conclusions that casual fans may not when they look at things like Wins or even ERA, which don’t always paint the correct picture.

Sometimes we just enforce the obvious conclusion, but occasionally we discover some interesting things and find ourselves off the beaten path, which can be a good thing.

Don’t forget to watch for lineups, umpire assignments, line movement, and Kevin’s weather report as they are released later in the day, all of which may change the equation and help you decide between two pitchers of otherwise equal value in a pinch.
Most 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 three-year park factors. Home team is in bold. Team Def = UZR/150. L2Yrs is a rolling calendar. Hm/Rd xFIP is since the start of the 2014 season. Opp team offensive stats are wRC+. Combo stats are explained below.

Pitcher Team Team
Def
SIERA
L2Yrs
IP/GS
L2Yrs
GB/FB
L2Yrs
Park
Run
Hm/Rd
xFIP
SIERA
L14
Opp Opp
Hm/Rd
Opp L/R
wRC+
Opp L7
wRC+
Comb
K%
Comb
BB%
Comb
LD%
Comb
HR/FB%
Comb
IFFB%
Aaron Brooks OAK -6.2 4.4 4.14 0.98 1.08 6.33 5.42 CHW 85 93 108 17.3% 8.0% 25.2% 13.8% 9.1%
Adam Warren NYY -5.6 3.6 5.81 1.35 0.94 4.12 3.19 TAM 98 94 95 21.7% 6.9% 21.2% 10.7% 9.4%
Alfredo Simon DET 2.4 4.5 6.04 1.37 1.05 4.62 5.12 MIN 104 88 109 17.2% 8.7% 20.4% 11.4% 12.6%
Ariel Pena MIL -5.1 5.35 5. 0.8 1.07 5.35 STL 92 100 94
Brett Anderson LOS 0.9 3.51 5.75 3.35 0.89 3.91 4.61 COL 77 62 35 18.8% 7.9% 17.2% 13.0% 10.9%
Carlos Martinez STL -0.8 3.42 5.82 2.07 1.07 3.3 3.41 MIL 90 91 86 23.5% 8.1% 24.2% 8.1% 7.6%
Chris Heston SFO 4.5 4.03 5.83 2.18 0.87 3.73 3.86 CIN 85 90 92 19.8% 8.5% 21.0% 16.0% 6.4%
Chris Rusin COL -4.3 4.25 5.5 1.82 0.89 4.49 4.23 LOS 114 110 113 17.8% 7.7% 22.5% 17.1% 11.3%
Collin McHugh HOU 1.6 3.62 6.2 1.28 1.08 3.61 3.65 TEX 101 96 98 20.4% 7.4% 18.6% 12.4% 11.3%
David Buchanan PHI -4.8 4.63 5.48 1.61 1.01 4.68 6.99 WAS 94 97 93 15.8% 9.2% 22.0% 16.3% 9.2%
Derek Holland TEX 5 3.68 6.27 1.09 1.08 3.5 4.25 HOU 93 102 105 19.7% 5.8% 17.5% 10.3% 7.7%
Felix Hernandez SEA -3.9 2.83 6.7 2.15 0.85 2.91 2.73 ANA 88 98 72 23.0% 6.3% 17.5% 11.0% 6.1%
J.A. Happ PIT -2.1 3.97 5.72 1.08 0.91 3.79 1.55 CHC 94 87 109 25.6% 6.4% 20.8% 10.3% 10.0%
Jacob deGrom NYM 1.6 3.13 6.45 1.34 0.88 2.66 3.15 FLA 87 80 80 22.2% 6.1% 20.8% 7.7% 10.4%
Jake Odorizzi TAM 6.2 3.69 5.69 0.77 0.94 3.68 3.21 NYY 105 102 74 22.4% 7.3% 21.1% 12.1% 12.0%
Jeff Samardzija CHW -6.3 3.58 6.66 1.32 1.08 3.53 5.12 OAK 90 95 74 19.7% 7.4% 19.7% 12.4% 9.3%
Jhoulys Chacin ARI 2.3 4.74 5.64 1.36 1.09 4.25 SDG 81 91 85
Joe Kelly BOS -1 4.29 5.58 1.84 1.04 4.22 4.1 BAL 109 103 149 20.3% 9.0% 23.4% 14.0% 8.3%
John Lamb CIN 1.9 3.6 5.5 0.72 0.87 2.61 5.43 SFO 113 102 135 22.4% 9.4% 21.4% 9.1% 12.6%
Jon Lester CHC 4.3 3.2 6.57 1.39 0.91 3.21 3.76 PIT 105 99 117 21.8% 7.3% 20.2% 9.0% 8.2%
Josh Tomlin CLE 2.1 3.24 6.1 0.95 0.94 3.14 3.72 KAN 93 103 102 19.0% 4.4% 21.9% 13.3% 11.9%
Julio Teheran ATL -0.7 3.88 6.36 0.91 0.98 3.71 5.22 TOR 106 112 123 19.7% 8.3% 20.5% 12.6% 10.8%
Kris Medlen KAN 7.7 3.52 6.46 1.87 0.94 4.19 4.16 CLE 111 100 142 18.1% 8.8% 20.4% 12.9% 6.6%
Mark Buehrle TOR -1.7 4.44 6.29 1.38 0.98 4.17 5.41 ATL 87 78 97 13.4% 5.4% 24.4% 6.6% 14.3%
Nicholas Tropeano ANA 2.4 4.48 5.26 0.91 0.85 5.12 3.73 SEA 105 99 115 20.1% 8.1% 20.0% 6.8% 8.2%
Phil Hughes MIN 2.8 3.71 6.3 0.88 1.05 3.75 DET 103 101 101
Stephen Strasburg WAS -4.4 2.84 5.93 1.36 1.01 2.88 1.63 PHI 88 85 85 27.3% 5.8% 21.8% 13.6% 7.3%
Tom Koehler FLA 2.6 4.36 6. 1.15 0.88 4.65 4.02 NYM 102 98 132 19.5% 9.9% 19.3% 9.4% 10.1%
Tyson Ross SDG -6.9 3.27 6.16 2.88 1.09 3.4 3.62 ARI 96 95 98 22.1% 7.9% 18.8% 12.7% 10.0%
Ubaldo Jimenez BAL 5.5 4.01 5.71 1.42 1.04 3.93 4 BOS 85 98 101 21.1% 9.3% 21.0% 11.9% 7.8%

Adam Warren hasn’t started a game since June, but has pitched several multiple inning outings recently and should be able throw five innings or so. He’s been pretty much average in most aspects, with a K% a bit below, but has managed contact well (4.5 Hard-Soft%). The Rays will strike out slightly more than the average team and are a favorable matchup at home vs RHP after a park adjustment.

Brett Anderson doesn’t strike out many batters and doesn’t often go very deep into games, but what he does do on a consistent basis is generate weak ground balls (66.7 GB% leads the majors, 0.0 Hard-Soft%). A 16.0 HR/FB isn’t even much of a concern because he’s allowed fewer than 100 fly balls this season. The Rockies are and incredibly favorable opponent with an 18.1 K-BB% on the road, a 23.2 K% vs LHP, and 25.7 K% over the last week. They are the worst road offense, worst against LHP, and coldest offense in baseball over the last week. This is by far the best park adjusted matchup in baseball tonight.

Carlos Martinez was hit hard in his last start (41.2 LD%), but also struck out eight of 26 Cubs in his last start. His SwStr rate has actually increased over the last month, while he maintains an above average 15.9 K-BB% and strong contact management skills (5.8 Hard-Soft%). Milwaukee is a below average offense at home and vs RHP with a 26.6 K% over the last week. They are a near neutral matchup with an upward bump for park effects.

Chris Heston has seen a real decline of skills over the last few months with a significant drop in his K%, allowing eight of his 14 HRs over his last six starts, but four of those were on the road in extreme hitters parks. That’s not to make excuses or suggest he’s been much better than his estimators, but pitching in San Francisco gives him an advantage. The Reds are a very poor offense on the road and below average vs RHP, making them a great park adjusted matchup here.

Collin McHugh has, in the 2nd half, looked much like he did in 2014. A 23.1 K% over the last month has helped pull his season rate just about up to league average while generating a ton of weak contact this season (3.3 Hard-Soft%). He has an above average, but not great 14.9 K-BB% on the road since last season with a normal HR rate. The Rangers are an average offense at home vs RHP that gets a bump to a slightly unfavorable park adjusted matchup.

Felix Hernandez did walk four in his last start, but has gone exactly eight innings with three runs or less and at least seven strikeouts in each of his last three. He’s absolutely having a sub-standard year, but he’s not having a bad one (16.9 K-BB%). The Angels strike out a bit less than average, but are a poor road offense and a great overall park adjusted matchup here.

J.A. Happ has absolutely not been anywhere close to as good as his nearly immaculate ERA in Pittsburgh, but he hasn’t been bad either. His 22.0 K-BB in seven starts since the trade in among the elite, but we might have to take issue with his SwStr% below. We’re still looking at a guy pitching better than he ever has in his life though. The Cubs have a 24.7 K% on the road and are well below average vs LHP (26.0 K%). They are a very favorable DFS opponent with the downward park adjustment.

Jacob deGrom has a 22.1 K-BB% and 4.4 HR/FB at home in his young career with a 21.4 K-BB% and solid 6.4 Hard-Soft% overall this season. He faces a very poor road offense and the worst vs RHP. The Marlins have just a 4.7 HR/FB and -2.0 Hard-Soft% over the last week. They are a great park adjusted matchup tonight.

Jake Odorizzi has an above average 15.9 K-BB% this season with a 26.9 K% over the last month and 18.1 K-BB% at home since last season. His overall results have been a bit inconsistent lately, but he has just a 3.9 HR/FB at home since 2014, though he’s allowed a HR in three of his last four home starts. It’s a pitcher’s park, but that might be a bit too low to sustain. The Yankees roughed him up in NY not too long ago (three HRs), but it could be a different story in the dome. They aren’t a favorable opponent on the road or vs RHP, but haven’t been a strong offense over the last week and are a favorable matchup after a negative park adjustment.

Jeff Samardzija has not been good at all this season or over the last month, but does have an above average K% over the last month. He faces an opponent that strikes out less than average, but does not hit for much power and has just a 5.6 Hard-Soft% vs RHP. Even with the upward park bump, they’re a slightly favorable opponent.

John Lamb walked six his last time out, but has a 17.9 K-BB% through six starts with a -2.1 Hard-Soft% despite a 25.6 LD%. Part of that is because he’s generated seven pop ups already. San Francisco is a great park for a fly ball pitcher. The Giants are a great home team, but with just a 7.8 HR/FB and are better vs RHP than LHP. They park adjust down to neutral in this spot.

Jon Lester has had two great starts, two poor ones, and one mediocre one over the last month, but his 18.5 K-BB% is just slightly below last season with a similar mark on the road since last season. Pittsburgh is a great park for a LHP (kills RH power), turning an average Pittsburgh offense into a slightly favorable matchup after a downward adjustment. They have a 15.0 K-BB% vs LHP.

Josh Tomlin has allowed a lot of hard contact (18.7 Hard-Soft%) in six starts, but also has a 22.9 K-BB% that’s greatly limited the damage. That’s how you can allow 10 HRs in 41 innings and still have a reasonable ERA (though with a .167 BABIP that we’ll talk more about later). Even if that regresses, we’d expect his HR rate too though and his non-FIP estimators way below are still very good. Kansas City has a very low strikeout rate (but Carrasco did fine last night), though they don’t walk much either and are a below average road offense (8.9 HR/FB). They are a slightly favorable park adjusted matchup here.

Kris Medlen seems be pitching better than his ERA indicates, though he has just an average 11.7 K-BB% and has allowed a single HR in each of his four starts. He’s also otherwise kept the ball on the ground with a 1.9 GB/FB though. Cleveland is a tough home offense, though more through plate discipline than power and one of the hottest offenses in baseball over the last week. They represent an unfavorable matchup even after a pitcher’s park adjustment.

Stephen Strasburg has oddly been just about the only thing working for the Nationals on the mound (when healthy). He struck out a season high 13 Mets last time out with one of the nastiest curveballs I’ve ever seen. He has a 21.3 K-BB% on the season and gets to face the Phillies next. They are a well below average offense at home and vs RHP (14.4 K-BB%) with just a 3.5 Hard-Soft% over the last week. They are a very favorable matchup with little adjustment necessary for a nearly neutral run environment.

Tyson Ross throws tons of sliders with which he generates lots of ground balls (61.5%) and strike outs (24.7%), while being death on RH batters. Control issues against LHBs have plagued him though, and that’s why he has just a mere 14.5 K-BB% this season with a slightly lesser mark on the road since last season. He also has a 13.3 HR/FB on the road since last season, but with such a high ground ball rate, that usually doesn’t hurt him. This is a tough park though and it bumps a neutral matchup into an unfavorable one. The Diamondbacks have a 15.5 Hard-Soft% vs RHP, but strike out slightly more than average.

NOT AS GOOD AS THEY LOOK

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 (.294 BABIP – 72.3 LOB% – 10.8 HR/FB)
Extreme deviations from league averages are italicized

NONE TODAY!!!

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

Ubaldo Jimenez was originally going to get the full write-up today, but he drives us all nuts. He walks six in one start and then strikes out eight in the next. That’s been his pattern for a long time and he had been pitching poorly for a month before a good start in Yankee Stadium of all places last time out. The reason to consider him would be that Boston is a poor road offense, but otherwise, he’s essentially my cutouff (along with Holland) tonight.

Derek Holland has gone at least seven innings in each of his last three starts, but has only struck out more than six once in six starts and has a well below average SwStr% with a lot of hard contact allowed (16.7 Hard-Soft%). The Astros are a difficult opponent here and though they strike out more than normal on the road and vs LHP, it’s probably not as much as you think.
Julio Teheran – Although he has been much better at home, we probably don’t want to test him against Toronto.

Nicholas Tropeano has estimators much lower than his ERA (.394 BABIP, 59.4 LOB%), but still around four (9.3 K-BB%) and he hasn’t even shown some of the control issues he’s had in the minors yet.

Jhoulys Chacin has pitched fairly well in two starts, both at home, but has allowed some hard contact (15.0 Hard-Soft%) and pitches in a tough park.

Chris Rusin is not much better on the road than he’s been at Coors.

Tom Koehler

Mark Buehrle

Joe Kelly has just an 8.0 K-BB% over the last month with a 20.0 Hard-Soft%, but has just a .259 BABIP and 87.7 LOB%.
Phil Hughes starts his first game in over a month, will be on a pitch count, and hasn’t missed bats all season.

Alfredo Simon – Remember last year when a lot of people thought he was actually good because he had a low BABIP and high strand rate? His K-BB% is just 2.6 points different.

David Buchanan – Unlike Simon, nobody ever really thought he was good.

Ariel Pena – There’s nothing to see here. Move along.

Aaron Brooks was actually good in half of his six starts, but has gotten absolutely shelled in the other three with just a 12.9 K% over the last month.

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%
Aaron Brooks Athletics 15.8% 5.9% Road 12.0% 12.0% L14 Days 10.8% 8.1%
Adam Warren Yankees 21.0% 7.3% Road 18.8% 8.4% L14 Days 21.7% 4.4%
Alfredo Simon Tigers 15.2% 7.8% Road 14.6% 8.3% L14 Days 16.7% 11.7%
Ariel Pena Brewers 17.7% 14.7% Home L14 Days 17.7% 14.7%
Brett Anderson Dodgers 16.3% 7.0% Home 12.4% 7.2% L14 Days 11.1% 11.1%
Carlos Martinez Cardinals 23.4% 8.6% Road 23.7% 8.5% L14 Days 26.0% 8.0%
Chris Heston Giants 18.1% 8.0% Home 18.7% 8.5% L14 Days 19.6% 8.7%
Chris Rusin Rockies 14.7% 6.5% Road 14.0% 7.3% L14 Days 12.0% 4.0%
Collin McHugh Astros 21.6% 6.1% Road 21.6% 6.7% L14 Days 20.8% 5.7%
David Buchanan Phillies 12.7% 7.4% Home 11.8% 8.5% L14 Days 0.0% 13.6%
Derek Holland Rangers 18.6% 3.1% Home 19.0% 1.7% L14 Days 17.0% 6.8%
Felix Hernandez Mariners 25.9% 5.9% Home 25.4% 5.5% L14 Days 29.3% 6.9%
J.A. Happ Pirates 19.8% 7.0% Home 20.3% 6.7% L14 Days 39.1% 0.0%
Jacob deGrom Mets 26.1% 6.3% Home 27.7% 5.6% L14 Days 24.1% 3.7%
Jake Odorizzi Rays 23.2% 7.3% Home 25.3% 7.2% L14 Days 28.6% 6.1%
Jeff Samardzija White Sox 20.8% 5.3% Home 21.3% 5.2% L14 Days 15.5% 10.3%
Jhoulys Chacin Diamondbacks 15.6% 10.3% Home 18.1% 10.2% L14 Days
Joe Kelly Red Sox 16.9% 8.9% Road 16.5% 9.9% L14 Days 20.8% 10.4%
John Lamb Reds 26.9% 9.0% Road 31.9% 4.3% L14 Days 20.4% 16.3%
Jon Lester Cubs 24.5% 5.8% Road 24.1% 5.9% L14 Days 21.7% 6.5%
Josh Tomlin Indians 22.0% 2.8% Home 22.4% 3.1% L14 Days 21.8% 1.8%
Julio Teheran Braves 20.7% 6.8% Home 21.9% 6.7% L14 Days 15.1% 11.3%
Kris Medlen Royals 20.9% 7.0% Road 22.2% 11.1% L14 Days 10.2% 6.1%
Mark Buehrle Blue Jays 12.8% 4.6% Road 11.9% 3.6% L14 Days 0.0% 0.0%
Nicholas Tropeano Angels 16.4% 7.1% Road 12.9% 10.0% L14 Days 22.7% 4.6%
Phil Hughes Twins 18.4% 2.2% Home 17.8% 1.9% L14 Days
Stephen Strasburg Nationals 27.1% 5.2% Road 25.3% 5.7% L14 Days 46.4% 3.6%
Tom Koehler Marlins 18.0% 8.7% Road 16.7% 9.3% L14 Days 25.5% 12.7%
Tyson Ross Padres 24.4% 9.3% Road 22.9% 10.3% L14 Days 20.5% 5.1%
Ubaldo Jimenez Orioles 22.1% 10.2% Home 20.9% 10.2% L14 Days 23.1% 11.5%

Combo K/BB Charts – Opponent

Opponent Split K% BB% Split K% BB% Split K% BB%
White Sox Home 21.2% 7.1% RH 20.3% 6.6% L7Days 23.8% 8.1%
Rays Home 22.8% 7.2% RH 21.3% 7.3% L7Days 24.4% 6.8%
Twins Home 19.1% 7.0% RH 21.4% 7.0% L7Days 16.1% 10.3%
Cardinals Road 22.0% 7.9% RH 19.6% 7.8% L7Days 28.0% 11.1%
Rockies Road 24.2% 6.1% LH 23.2% 7.6% L7Days 25.7% 8.4%
Brewers Home 20.7% 7.6% RH 20.6% 6.7% L7Days 26.6% 8.9%
Reds Road 19.8% 7.4% RH 19.2% 8.0% L7Days 23.3% 10.5%
Dodgers Home 20.4% 8.4% LH 21.2% 9.4% L7Days 24.4% 10.5%
Rangers Home 18.4% 8.3% RH 19.2% 8.0% L7Days 20.5% 9.5%
Nationals Road 22.4% 8.4% RH 21.8% 8.6% L7Days 26.0% 8.9%
Astros Road 22.4% 7.5% LH 21.9% 9.3% L7Days 19.0% 6.5%
Angels Road 18.7% 7.1% RH 19.5% 7.0% L7Days 19.4% 5.5%
Cubs Road 24.7% 8.5% LH 26.0% 9.0% L7Days 23.9% 7.0%
Marlins Road 19.8% 5.9% RH 19.0% 6.2% L7Days 16.3% 8.9%
Yankees Road 18.8% 8.8% RH 19.4% 8.4% L7Days 18.8% 6.1%
Athletics Road 19.3% 7.7% RH 18.3% 7.2% L7Days 23.2% 8.4%
Padres Road 21.5% 7.0% RH 21.4% 6.5% L7Days 19.6% 6.4%
Orioles Home 21.1% 7.1% RH 22.2% 7.1% L7Days 24.1% 10.8%
Giants Home 18.1% 7.8% LH 18.7% 6.8% L7Days 18.1% 12.1%
Pirates Home 19.5% 7.5% LH 22.0% 7.0% L7Days 19.1% 10.9%
Royals Road 16.5% 5.5% RH 15.5% 6.4% L7Days 16.0% 6.8%
Blue Jays Road 20.1% 8.3% RH 18.9% 8.5% L7Days 21.5% 8.4%
Indians Home 18.7% 9.6% RH 18.5% 9.0% L7Days 18.1% 9.9%
Braves Home 18.3% 8.8% LH 20.4% 8.5% L7Days 17.2% 7.1%
Mariners Home 23.0% 8.1% RH 21.9% 8.6% L7Days 23.4% 10.2%
Tigers Road 22.0% 7.1% RH 20.0% 6.7% L7Days 24.1% 8.0%
Phillies Home 20.3% 6.7% RH 20.4% 6.0% L7Days 24.2% 7.4%
Mets Home 20.0% 8.4% RH 19.9% 7.9% L7Days 16.8% 12.5%
Diamondbacks Home 21.2% 8.0% RH 20.7% 7.6% L7Days 22.6% 6.8%
Red Sox Road 19.2% 7.7% RH 17.4% 7.5% L7Days 23.9% 8.5%

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%
Aaron Brooks Athletics 24.6% 10.4% 8.3% Road 33.3% 25.0% 0.0% L14 Days 31.0% 10.0% 20.0%
Adam Warren Yankees 22.8% 7.5% 9.6% Road 22.9% 8.2% 13.4% L14 Days 23.5% 16.7% 0.0%
Alfredo Simon Tigers 21.0% 11.1% 11.1% Road 21.7% 11.8% 9.4% L14 Days 17.5% 11.8% 17.6%
Ariel Pena Brewers 18.2% 0.0% 10.0% Home L14 Days 18.2% 0.0% 10.0%
Brett Anderson Dodgers 14.8% 13.5% 3.2% Home 16.6% 15.4% 3.1% L14 Days 14.7% 16.7% 16.7%
Carlos Martinez Cardinals 21.0% 8.7% 8.7% Road 20.1% 7.3% 7.3% L14 Days 36.4% 0.0% 0.0%
Chris Heston Giants 22.2% 11.7% 10.0% Home 21.3% 6.8% 3.4% L14 Days 24.2% 42.9% 0.0%
Chris Rusin Rockies 21.4% 16.0% 10.4% Road 22.3% 17.4% 15.9% L14 Days 19.5% 27.3% 9.1%
Collin McHugh Astros 21.7% 9.9% 10.7% Road 19.7% 10.1% 12.1% L14 Days 15.4% 15.4% 15.4%
David Buchanan Phillies 21.3% 11.5% 13.8% Home 19.9% 12.2% 15.6% L14 Days 29.4% 33.3% 0.0%
Derek Holland Rangers 18.6% 7.8% 5.2% Home 20.4% 9.6% 7.7% L14 Days 11.4% 6.3% 6.3%
Felix Hernandez Mariners 17.5% 12.2% 6.8% Home 17.7% 11.9% 6.3% L14 Days 11.1% 10.0% 0.0%
J.A. Happ Pirates 21.5% 10.4% 9.8% Home 20.4% 10.5% 9.3% L14 Days 21.4% 7.7% 15.4%
Jacob deGrom Mets 21.8% 8.4% 8.8% Home 24.0% 4.4% 11.5% L14 Days 18.4% 7.7% 15.4%
Jake Odorizzi Rays 21.3% 8.2% 9.9% Home 20.4% 3.9% 12.3% L14 Days 19.4% 18.8% 18.8%
Jeff Samardzija White Sox 20.5% 11.0% 10.3% Home 20.8% 12.3% 9.4% L14 Days 16.3% 15.8% 10.5%
Jhoulys Chacin Diamondbacks 21.4% 13.7% 8.4% Home 20.5% 11.9% 4.8% L14 Days
Joe Kelly Red Sox 22.9% 10.6% 6.8% Road 19.8% 14.3% 9.2% L14 Days 32.3% 0.0% 0.0%
John Lamb Reds 25.6% 10.3% 17.9% Road 20.7% 16.7% 25.0% L14 Days 19.4% 0.0% 13.3%
Jon Lester Cubs 21.0% 8.2% 12.0% Road 20.7% 10.5% 10.5% L14 Days 15.6% 0.0% 8.3%
Josh Tomlin Indians 24.2% 16.3% 10.5% Home 24.3% 20.5% 9.0% L14 Days 14.3% 13.0% 13.0%
Julio Teheran Braves 22.3% 10.5% 10.3% Home 20.6% 8.8% 8.3% L14 Days 18.9% 7.1% 7.1%
Kris Medlen Royals 18.0% 10.9% 6.5% Road 24.2% 11.1% 0.0% L14 Days 14.6% 22.2% 0.0%
Mark Buehrle Blue Jays 21.8% 8.1% 10.7% Road 23.3% 7.8% 12.9% L14 Days 37.5% 0.0% 33.3%
Nicholas Tropeano Angels 17.2% 0.0% 5.2% Road 13.5% 0.0% 4.5% L14 Days 31.3% 0.0% 14.3%
Phil Hughes Twins 24.1% 9.6% 10.6% Home 23.3% 10.1% 12.6% L14 Days
Stephen Strasburg Nationals 22.7% 13.0% 9.1% Road 23.9% 14.9% 6.6% L14 Days 21.4% 20.0% 0.0%
Tom Koehler Marlins 18.2% 8.8% 7.1% Road 16.7% 11.1% 7.4% L14 Days 21.2% 0.0% 11.1%
Tyson Ross Padres 20.0% 10.7% 8.4% Road 22.0% 13.3% 4.8% L14 Days 11.1% 15.8% 26.3%
Ubaldo Jimenez Orioles 22.8% 11.7% 11.0% Home 22.6% 11.9% 8.5% L14 Days 21.2% 12.5% 0.0%

Combo Batted Ball Charts – Opponent

Opponent Split LD% HR/FB% IFFB% Split LD% HR/FB% IFFB% Split LD% HR/FB% IFFB%
White Sox Home 21.2% 11.2% 9.3% RH 21.1% 11.3% 9.6% L7Days 20.0% 14.8% 7.4%
Rays Home 21.1% 10.6% 9.5% RH 21.3% 10.2% 9.0% L7Days 15.6% 11.0% 15.1%
Twins Home 21.5% 12.6% 11.2% RH 20.7% 10.0% 11.8% L7Days 19.9% 11.3% 14.5%
Cardinals Road 21.5% 11.3% 10.6% RH 22.3% 9.6% 9.3% L7Days 21.6% 10.3% 15.4%
Rockies Road 19.9% 12.4% 11.0% LH 21.7% 8.1% 9.2% L7Days 15.4% 11.9% 22.0%
Brewers Home 21.6% 11.3% 7.5% RH 21.3% 10.6% 8.5% L7Days 25.0% 10.8% 13.5%
Reds Road 19.7% 10.4% 8.7% RH 20.9% 10.5% 9.1% L7Days 17.5% 13.8% 6.9%
Dodgers Home 22.6% 13.4% 8.5% LH 23.0% 12.0% 8.8% L7Days 26.0% 16.7% 14.8%
Rangers Home 19.6% 12.2% 8.8% RH 19.1% 10.7% 9.1% L7Days 16.2% 15.9% 11.6%
Nationals Road 22.0% 13.3% 8.9% RH 20.8% 13.3% 8.5% L7Days 18.4% 14.3% 8.2%
Astros Road 21.1% 11.5% 10.6% LH 19.2% 13.7% 8.6% L7Days 14.1% 12.8% 7.7%
Angels Road 19.1% 10.2% 8.5% RH 20.4% 11.7% 9.0% L7Days 18.9% 9.8% 5.9%
Cubs Road 20.4% 11.3% 7.7% LH 23.0% 9.6% 7.4% L7Days 18.1% 12.1% 10.6%
Marlins Road 21.5% 11.3% 8.3% RH 20.2% 9.4% 9.1% L7Days 19.1% 4.7% 9.3%
Yankees Road 21.2% 12.4% 7.9% RH 20.9% 13.8% 9.1% L7Days 23.2% 15.4% 13.8%
Athletics Road 20.5% 10.8% 8.5% RH 20.4% 9.3% 9.2% L7Days 19.4% 15.4% 7.7%
Padres Road 19.5% 9.0% 9.7% RH 19.7% 10.5% 8.3% L7Days 21.8% 11.3% 11.3%
Orioles Home 20.6% 16.5% 7.9% RH 20.5% 15.6% 9.4% L7Days 24.0% 27.1% 16.7%
Giants Home 20.4% 7.8% 6.6% LH 21.4% 8.6% 5.2% L7Days 21.0% 10.9% 7.3%
Pirates Home 21.7% 11.4% 5.5% LH 22.3% 11.7% 7.9% L7Days 19.9% 12.1% 5.2%
Royals Road 22.6% 8.9% 10.1% RH 21.1% 9.3% 10.1% L7Days 24.6% 11.9% 18.6%
Blue Jays Road 19.5% 14.1% 13.8% RH 19.6% 15.1% 12.7% L7Days 21.9% 20.0% 12.7%
Indians Home 23.8% 8.8% 10.8% RH 21.4% 10.1% 12.5% L7Days 20.2% 14.5% 9.7%
Braves Home 21.1% 8.0% 9.4% LH 20.8% 9.2% 6.8% L7Days 22.1% 6.4% 12.8%
Mariners Home 21.2% 12.6% 8.8% RH 20.0% 12.6% 6.9% L7Days 17.0% 15.6% 9.4%
Tigers Road 22.5% 11.2% 7.2% RH 21.6% 9.9% 8.5% L7Days 18.8% 3.3% 5.0%
Phillies Home 21.8% 10.8% 8.7% RH 22.2% 9.6% 8.3% L7Days 18.8% 13.2% 11.3%
Mets Home 21.6% 12.2% 12.2% RH 22.1% 11.0% 11.5% L7Days 16.1% 13.4% 11.0%
Diamondbacks Home 21.5% 10.5% 7.6% RH 21.4% 10.8% 8.7% L7Days 16.7% 14.9% 4.3%
Red Sox Road 19.5% 9.7% 11.3% RH 20.4% 10.2% 10.1% L7Days 19.5% 15.4% 5.8%

K/SwStr Chart (2015 LG AVG – 20.2 K% – 9.8 SwStr% – 2.06 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 Brooks OAK 17.0% 8.3% 2.05 12.9% 6.6% 1.95
Adam Warren NYY 18.8% 8.7% 2.16 30.0% 13.7% 2.19
Alfredo Simon DET 14.9% 8.2% 1.82 13.5% 7.9% 1.71
Ariel Pena MIL 17.7% 8.0% 2.21 17.7% 8.0% 2.21
Brett Anderson LOS 15.9% 6.9% 2.30 14.1% 6.7% 2.10
Carlos Martinez STL 24.3% 10.3% 2.36 24.2% 12.3% 1.97
Chris Heston SFO 18.1% 8.7% 2.08 15.9% 8.0% 1.99
Chris Rusin COL 14.9% 8.5% 1.75 12.6% 5.6% 2.25
Collin McHugh HOU 19.6% 10.5% 1.87 23.1% 11.5% 2.01
David Buchanan PHI 10.0% 6.3% 1.59 0.0% 2.8% 0.00
Derek Holland TEX 20.7% 7.8% 2.65 21.3% 7.7% 2.77
Felix Hernandez SEA 23.5% 10.8% 2.18 22.6% 11.6% 1.95
J.A. Happ PIT 19.8% 7.7% 2.57 25.7% 8.2% 3.13
Jacob deGrom NYM 26.6% 12.6% 2.11 25.4% 14.8% 1.72
Jake Odorizzi TAM 22.0% 10.0% 2.20 26.9% 10.8% 2.49
Jeff Samardzija CHW 18.2% 9.9% 1.84 21.5% 9.8% 2.19
Jhoulys Chacin ARI 20.4% 10.0% 2.04 20.4% 10.0% 2.04
Joe Kelly BOS 18.5% 7.6% 2.43 15.1% 7.1% 2.13
John Lamb CIN 26.9% 10.8% 2.49 26.9% 10.4% 2.59
Jon Lester CHC 24.4% 10.3% 2.37 22.1% 9.1% 2.43
Josh Tomlin CLE 24.8% 9.5% 2.61 24.8% 9.5% 2.61
Julio Teheran ATL 20.0% 10.5% 1.90 18.8% 8.6% 2.19
Kris Medlen KAN 20.1% 8.6% 2.34 18.4% 8.8% 2.09
Mark Buehrle TOR 11.2% 4.9% 2.29 8.1% 4.2% 1.93
Nicholas Tropeano ANA 18.5% 10.8% 1.71 18.6% 10.3% 1.81
Phil Hughes MIN 14.0% 5.5% 2.55
Stephen Strasburg WAS 26.6% 9.9% 2.69 30.8% 12.0% 2.57
Tom Koehler FLA 17.5% 7.4% 2.36 20.7% 9.7% 2.13
Tyson Ross SDG 24.7% 12.1% 2.04 23.1% 11.9% 1.94
Ubaldo Jimenez BAL 21.2% 8.3% 2.55 18.9% 6.8% 2.78

Jacob deGrom has increased his SwStr to almost 15% over the last month, while his K% has actually dropped slightly.

ERA Estimators Chart (2015 LG AVG – 3.85 ERA – 3.78 SIERA – 3.85 xFIP – 3.85 FIP)

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

Pitcher Team Season
ERA
Season
SIERA
DIFF Season
xFIP
DIFF Season
FIP
DIFF ERA
L30
SIERA
L30
DIFF xFIP
L30
DIFF FIP
L30
DIFF
Aaron Brooks OAK 7.44 4.19 -3.25 4.37 -3.07 4.03 -3.41 9.49 4.69 -4.8 4.49 -5 4.12 -5.37
Adam Warren NYY 3.29 4.07 0.78 4.09 0.8 3.79 0.5 3 2.29 -0.71 2.61 -0.39 3.31 0.31
Alfredo Simon DET 4.94 4.88 -0.06 4.77 -0.17 4.77 -0.17 5.34 5.41 0.07 5.57 0.23 6.49 1.15
Ariel Pena MIL 4.5 5.35 0.85 5.73 1.23 3.89 -0.61 4.5 5.35 0.85 5.73 1.23 3.89 -0.61
Brett Anderson LOS 3.36 3.52 0.16 3.58 0.22 3.94 0.58 3.07 3.4 0.33 3.6 0.53 4.58 1.51
Carlos Martinez STL 3.12 3.44 0.32 3.28 0.16 3.22 0.1 5.6 3.08 -2.52 2.69 -2.91 1.83 -3.77
Chris Heston SFO 3.55 4.01 0.46 3.9 0.35 3.96 0.41 4.82 4.78 -0.04 4.59 -0.23 7.27 2.45
Chris Rusin COL 5.14 4.18 -0.96 4 -1.14 4.56 -0.58 7.14 4.7 -2.44 4.54 -2.6 5.21 -1.93
Collin McHugh HOU 3.89 3.94 0.05 3.96 0.07 3.72 -0.17 2.43 3.57 1.14 3.5 1.07 3.26 0.83
David Buchanan PHI 9.11 5.46 -3.65 5.38 -3.73 5.69 -3.42 10.8 6.99 -3.81 8.07 -2.73 10.64 -0.16
Derek Holland TEX 3.13 3.57 0.44 3.67 0.54 4.19 1.06 2.97 3.51 0.54 3.61 0.64 3.86 0.89
Felix Hernandez SEA 3.49 3.28 -0.21 3.24 -0.25 3.52 0.03 5.29 3.36 -1.93 3.49 -1.8 4.54 -0.75
J.A. Happ PIT 3.87 3.96 0.09 3.84 -0.03 3.61 -0.26 0.88 3.05 2.17 3.08 2.2 2.07 1.19
Jacob deGrom NYM 2.4 3.09 0.69 3.02 0.62 2.88 0.48 4.3 3.23 -1.07 2.98 -1.32 4 -0.3
Jake Odorizzi TAM 3.21 3.76 0.55 3.84 0.63 3.31 0.1 3.68 3.29 -0.39 3.53 -0.15 3.01 -0.67
Jeff Samardzija CHW 4.89 4.15 -0.74 4.25 -0.64 4.22 -0.67 5.46 4.17 -1.29 4.48 -0.98 5.09 -0.37
Jhoulys Chacin ARI 2.7 3.63 0.93 3.6 0.9 4.12 1.42 2.7 3.64 0.94 3.6 0.9 4.12 1.42
Joe Kelly BOS 4.7 4.26 -0.44 4.11 -0.59 4.14 -0.56 1.67 4.35 2.68 4.08 2.41 3.58 1.91
John Lamb CIN 5.18 3.6 -1.58 3.79 -1.39 3.63 -1.55 4.67 3.62 -1.05 3.79 -0.88 3.55 -1.12
Jon Lester CHC 3.5 3.27 -0.23 3.15 -0.35 3.01 -0.49 4.91 3.55 -1.36 3.43 -1.48 3.55 -1.36
Josh Tomlin CLE 2.85 3.16 0.31 3.44 0.59 4.68 1.83 2.85 3.16 0.31 3.44 0.59 4.68 1.83
Julio Teheran ATL 4.38 4.26 -0.12 4.22 -0.16 4.56 0.18 4.11 4.47 0.36 4.62 0.51 5.72 1.61
Kris Medlen KAN 4.58 3.66 -0.92 3.8 -0.78 4.24 -0.34 5 3.58 -1.42 3.69 -1.31 4.37 -0.63
Mark Buehrle TOR 3.72 4.62 0.9 4.33 0.61 4.16 0.44 6.98 5.11 -1.87 4.48 -2.5 4.9 -2.08
Nicholas Tropeano ANA 5.66 4 -1.66 4 -1.66 2.08 -3.58 9.35 4.01 -5.34 3.85 -5.5 1.99 -7.36
Phil Hughes MIN 4.49 4.48 -0.01 4.37 -0.12 4.82 0.33
Stephen Strasburg WAS 4.3 3.13 -1.17 3.13 -1.17 3.37 -0.93 3.33 2.54 -0.79 2.9 -0.43 3.76 0.43
Tom Koehler FLA 3.99 4.54 0.55 4.49 0.5 4.46 0.47 5.34 4.54 -0.8 4.72 -0.62 5.12 -0.22
Tyson Ross SDG 3.24 3.43 0.19 3.24 0 3.07 -0.17 2.51 3.43 0.92 3.54 1.03 3.61 1.1
Ubaldo Jimenez BAL 4.22 3.87 -0.35 3.73 -0.49 4.06 -0.16 5.59 4.46 -1.13 4.26 -1.33 4.83 -0.76

Adam Warren has somehow gotten away with an 8.9 HR/FB in Yankee Stadium, which explains the FIP. He has managed contact well, as mentioned above. The BABIP isn’t low in as much it’s lower than what the Yankees generally allow, most of his indicators are fine, so I don’t have too much of a problem with this. It would all seem to paint an about average picture, but you have to remember a lot of that comes from the bullpen.

Carlos Martinez has increased his K-BB to 18.6% over the last month in which he has not allowed a single HR, but has a .407 BABIP and 58.1 LOB%. His 28.4 LD% and 12.8 Hard-Soft% are both too high, but he also has a 51.9 GB%. Obviously, he’s going to have to make adjustments to refrain from allowing such hard contact, but these are things that should normalize as velocity charts give us no indication of tiring.

Collin McHugh – I’ve expected some favorable regression to the BABIP for most the season, due to solid, but not spectacular indicators (IFFB%, Z-Contact%, LD%) and though his season rate may still be a bit high, that’s what’s happened over the last month with a .264 BABIP. That’s accompanies by a 16.4 K-BB% that’s definitely better than his season rate, but also and 84.9 LOB% that he won’t be able to sustain.

Felix Hernandez got smashed in his first of five starts over the last 30 days and wasn’t that great in his next one either, but has improved significantly over his last three (24 IP – 5 ER – 24 K).

J.A. Happ – In addition to the likely K% drop we talked about above, he’s stranding 95.4% of his runners with a .237 BABIP and just a 5.6 HR/FB over the last month. Still, if his ERA and estimators run at anything below three and a half, that’s a major improvement and a good pitcher.

Jacob deGrom actually has a normal 10.1 HR/FB overall this season, but the reason for his discrepancy between ERA and non-FIP estimators is more due a .260 BABIP, which seems to be borderline sustainable when measured by BABIP chart indicators and team defense with an 80.2 LOB% that’s just a bit too high.

Jake Odorizzi has a 7.7 HR/FB with a home park that makes this number pretty close to being sustainable or at least nothing to be too concerned about.

John Lamb has an ERA about a run and a half above his estimators due to a .398 BABIP. His chart indicators below are incredible (IFFB, Zone Contact), but a 25.6 LD% is a bit high, though we did mention already that he generates more weak contact than hard. This number would seem in line for at least 100 points of regression.

John Lester has been inconsistent over his last five starts (some good, some bad), but has ERA estimators similar not much higher than his season rates.

Stephen Strasburg has been a little bit HR prone (13.1 HR/FB), but also seems to suffer some of the ineptitude of his defense in a .320 BABIP. I have more faith in the 67.1 LOB% improving though.

BABIP Chart (2015 LG AVG – .295 BABIP – 9.4 IFFB% – 86.9 Z-Contact%)

Last year, 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 you have a pitcher with a much lower BABIP than his team’s allowed (red), then you look for some factors that may support it may be onto something (check batted ball profile too).

Pitcher Team Team BABIP Pitcher BABIP Diff Pitcher IFFB% Pitcher Zcontact
Aaron Brooks OAK 0.286 0.367 0.081 9.3% 89.5%
Adam Warren NYY 0.300 0.271 -0.029 10.7% 86.3%
Alfredo Simon DET 0.304 0.286 -0.018 11.8% 89.5%
Ariel Pena MIL 0.302 0.227 -0.075 10.0% 95.5%
Brett Anderson LOS 0.298 0.303 0.005 2.1% 92.4%
Carlos Martinez STL 0.296 0.326 0.03 6.2% 87.5%
Chris Heston SFO 0.283 0.292 0.009 10.3% 87.4%
Chris Rusin COL 0.316 0.342 0.026 10.0% 87.9%
Collin McHugh HOU 0.280 0.306 0.026 11.1% 86.2%
David Buchanan PHI 0.318 0.389 0.071 13.3% 92.4%
Derek Holland TEX 0.293 0.255 -0.038 10.0% 91.8%
Felix Hernandez SEA 0.294 0.292 -0.002 8.2% 88.2%
J.A. Happ PIT 0.302 0.311 0.009 13.5% 87.6%
Jacob deGrom NYM 0.285 0.260 -0.025 9.5% 84.5%
Jake Odorizzi TAM 0.284 0.276 -0.008 10.1% 85.5%
Jeff Samardzija CHW 0.311 0.305 -0.006 9.8% 87.6%
Jhoulys Chacin ARI 0.295 0.237 -0.058 0.0% 95.5%
Joe Kelly BOS 0.307 0.316 0.009 5.8% 91.7%
John Lamb CIN 0.289 0.398 0.109 17.9% 81.4%
Jon Lester CHC 0.294 0.312 0.018 7.9% 86.9%
Josh Tomlin CLE 0.292 0.167 -0.125 7.4% 90.3%
Julio Teheran ATL 0.309 0.290 -0.019 9.9% 85.4%
Kris Medlen KAN 0.286 0.275 -0.011 6.1% 91.5%
Mark Buehrle TOR 0.281 0.281 0 8.0% 92.1%
Nicholas Tropeano ANA 0.286 0.394 0.108 7.4% 83.5%
Phil Hughes MIN 0.300 0.301 0.001 10.8% 92.2%
Stephen Strasburg WAS 0.305 0.320 0.015 13.1% 85.2%
Tom Koehler FLA 0.293 0.274 -0.019 7.7% 90.6%
Tyson Ross SDG 0.300 0.318 0.018 8.7% 85.8%
Ubaldo Jimenez BAL 0.294 0.309 0.015 12.1% 88.9%

Carlos Martinez – We just mentioned above that his BABIP has gone through the roof over the past month and the reasons for that.

Josh Tomlin somehow has just a 16.1 LD% that has played a great part in an incredibly unsustainable BABIP. His other chart indicators are well below average, though we should note how much the Cleveland defense seems to have improved in recent months due to personnel decisions. The low LD rate is stunning due to the great amount of hard contact he’s allowed, but that’s shown up more in the 10 balls that have left the yard in 41 innings than in his BABIP.

Kris Medlen has allowed a HR in each of his four starts for a 19.0 HR/FB, which should decrease over time as his 61.5 LOB% over that span should increase as well.

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 changed 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

John Lamb (9t) hasn’t really had control issues outside his last start and does face a tough offense, but it’s in a great park and they are better vs RHP than lefties. I’ll take a 26.9 K% at a low price, except where it’s climbed to average on DraftKings.
Stephen Strasburg (1t) has pitched well when healthy. Lots of strikeouts and the Phillies at a much more reasonable price than expected? Yes please.

Value Tier Two

Adam Warren is in a good spot at a very low price in most places. He’s capable of at least going out there and not embarrassing himself in a starting role.

Brett Anderson (9t) is not going to generate strikeouts, but still gives you tons of weak ground balls for a below average price in a matchup as favorable as you’re ever going to see as a lefty against the Rockies tonight.

J.A. Happ (5) is not nearly as good as portrayed by his ERA in Pittsburgh, but he has been good and his price hasn’t changed much. He faces a Cubs lineup that has a tendency to strike out in a good home park.

Jacob deGrom (1t) is your most expensive pitcher in most places tonight, but the cost is not too outrageous and its well deserves for a great home matchup against the lowly Marlins.

Felix Hernandez (3) competes with deGrom for top price tag in some places and while he’s had a down year for him, he has pitched better and gone deeper into games in recent starts. He’s in a great spot at home against the Angels tonight.

Value Tier Three

Kris Medlen hasn’t been great as a starter, but probably hasn’t been as bad as his ERA and even in a tough matchup in Cleveland, he’s worth more than a near minimum price tag on DraftKings.

Carlos Martinez (6t) is a risk at a fairly high price as he has struggled lately, which is backed up by some hard contact rates and pitches in a tough park in Milwaukee, but it’s against a bad offense and his K-BB has actually increased over the last month. There may be some upside to a guy who may be more lightly owned tonight.

Chris Heston hasn’t been what he was the first few months of the season by any measure, but has a very favorable matchup in a great park for a below average cost.

Jon Lester (4) has been inconsistent and is one of the higher priced pitchers tonight, but you basically know what he is and gets an OK matchup in a great park for LHPs.

Jake Odorizzi (6t) is priced possibly a little too high on DraftKings, but for other sites, he generally pitches well at home with an ability to suppress HRs in a favorable park. His strikeout rate is up over the last month and the Yankees are scuffling a little bit.

Value Tier Four – These guys seem basically in line with their price tag. They are either useable 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.

Josh Tomlin (6t) – I’m not crazy about the higher DraftKings price and you’re concerned about the hard contact and fact that he’s facing the low strikeout Royals, but they are a below average road offense and also the low walk Royals, while he has an elite K-BB above 20%.

Tyson Ross

Jeff Samardzija

Collin McHugh

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.