Advanced Stats - Pitching Charts: Tuesday, June 23rd

You know it’s one hell of a crazy night when one of your dumpster diving specials is the top scorer of the night, as Joe Blanton was last night and that was only because nearly everyone else got smashed. Kershaw and Blanton were the only two starting pitchers not only to break 20 points last night on DraftKings, but even 15 points. In fact, there were two relievers in the top six point accumulators overall. That’s the kind of day where if you’re writing a pitching column, you can’t win. At least we had the top two on our list last night, but most of us probably had a lot more Pineda than Blanton. We’ll try to do better today.

One more note before getting to meat of it: I’m taking some personal time Wed through Friday, so this will be the last article this week. We’ll be back on Monday.

Don’t forget to watch for lineups, umpire assignments, 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 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 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%
Alex Gonzalez TEX 0.2 5.51 7.5 1.71 1.08 5.13 5.19 OAK 96 110 138 12.6% 9.1% 20.6% 7.8% 6.3%
Alex Wood ATL -0.1 3.45 6.13 1.42 1.03 3.86 3.99 WAS 96 96 142 20.6% 8.0% 18.3% 11.6% 9.5%
C.J. Wilson ANA 1.6 4.05 6.13 1.38 0.91 3.92 2.48 HOU 101 100 132 24.8% 7.7% 21.8% 11.4% 8.6%
Carlos Martinez STL 5.5 3.48 5.53 1.96 1.01 3.3 3.54 FLA 88 81 85 21.4% 7.6% 20.7% 10.4% 7.6%
CC Sabathia NYY -4.4 3.74 6.08 1.41 1.02 2.8 3.05 PHI 75 90 110 20.3% 4.7% 25.5% 15.3% 11.0%
Chase Anderson ARI 2.8 3.92 5.68 1.24 1.4 3.86 4.98 COL 92 96 103 17.8% 6.3% 23.7% 8.6% 6.0%
Chris Archer TAM 10.2 3.44 6.03 1.53 0.94 3.25 3.47 TOR 104 111 139 20.5% 8.0% 18.7% 9.0% 13.5%
Collin McHugh HOU -4.1 3.5 6.03 1.22 0.91 3.39 5.33 ANA 105 96 114 19.7% 8.7% 20.0% 12.9% 7.6%
Danny Salazar CLE -5.5 3 5.6 0.94 0.94 3.26 3.59 DET 106 105 99 22.2% 6.9% 20.6% 11.1% 8.3%
David Price DET 6.4 3.04 7.23 1.09 0.94 3.07 2.47 CLE 108 104 62 22.2% 6.9% 23.4% 8.3% 6.5%
Jason Hammel CHC 3.8 3.52 6.06 1.02 1.05 3.63 4.25 LOS 106 123 116 19.8% 8.6% 22.6% 13.3% 5.5%
Jeff Locke PIT -4 4.22 5.76 1.84 0.91 3.77 3.31 CIN 84 104 124 18.6% 7.6% 20.9% 10.1% 8.6%
Jeff Samardzija CHW -8.7 3.44 6.59 1.45 1.05 3.38 2.79 MIN 106 85 108 20.6% 5.4% 20.4% 8.8% 9.5%
Jeremy Guthrie KAN 13.9 4.53 6.14 1.17 0.85 4.26 3.56 SEA 91 84 51 19.3% 6.7% 21.6% 10.3% 8.1%
Jesse Chavez OAK -10.9 3.56 6.16 1.21 1.08 3.56 3 TEX 102 97 43 23.8% 7.2% 19.3% 10.8% 10.2%
Joe Kelly BOS -4.1 4.33 5.64 1.95 1.07 3.92 5.23 BAL 90 104 145 19.1% 8.6% 21.0% 10.7% 5.3%
Jon Niese NYM -1.4 3.76 6.23 1.78 1.07 3.74 3.67 MIL 82 75 95 18.8% 6.8% 19.1% 14.8% 11.9%
Jose Urena FLA 4.9 4.75 5.82 2.07 1.01 4.36 5.65 STL 96 109 130 14.0% 7.5% 20.9% 10.8% 9.5%
Josh Smith CIN 1.1 0 0 0.91 PIT 102 90 63
Kyle Kendrick COL 1.7 4.6 6.02 1.31 1.4 4.36 5.79 ARI 96 92 62 17.1% 7.3% 22.0% 11.6% 9.7%
Madison Bumgarner SFO 0.1 3.13 6.59 1.29 0.87 3.05 2.92 SDG 88 96 90 24.6% 6.7% 20.9% 8.2% 9.0%
Michael Montgomery SEA -4.9 5.11 6.53 1.09 0.85 5.05 5.49 KAN 102 101 141 12.1% 6.8% 20.2% 4.9% 6.2%
Mike Fiers MIL -1.8 3.3 5.76 0.81 1.07 3.43 4.77 NYM 74 87 50 22.3% 7.3% 21.0% 9.3% 10.7%
Mike Pelfrey MIN 1.7 4.78 5.58 1.48 1.05 4.86 5.64 CHW 77 82 60 14.7% 7.8% 21.7% 8.9% 8.7%
Odrisamer Despaigne SDG -12.5 4.22 6. 1.75 0.87 4.26 3.83 SFO 97 109 105 15.1% 6.9% 20.4% 9.7% 7.4%
R.A. Dickey TOR 4.1 4.12 6.5 1.07 0.94 4.47 4.28 TAM 110 97 123 20.2% 7.9% 21.9% 11.5% 9.6%
Sean O’Sullivan PHI -2.8 5.07 5.67 1.22 1.02 5.45 5.03 NYY 126 109 167 14.1% 8.9% 18.8% 15.3% 6.8%
Tanner Roark WAS -2.5 3.9 6.34 1.26 1.03 3.87 3.93 ATL 89 96 80 16.9% 6.3% 21.5% 6.6% 9.1%
Ubaldo Jimenez BAL 6.9 3.89 5.72 1.23 1.07 4.16 2.9 BOS 108 103 171 19.8% 8.3% 23.6% 11.4% 10.2%
Zack Greinke LOS 5 3.07 6.54 1.63 1.05 2.99 2.16 CHC 87 92 102 24.5% 6.3% 19.3% 11.2% 9.1%

Alex Wood bounced back from one of his worst starts of the season against the Mets (6.1 IP – 4 ER – 2 HR – 4 BB – 6 K) with one of his best against Boston (6 IP – 1 ER – 1 HR – 2 BB – 7 K). He’s allowed three of his five HRs this season in his last two starts, exactly doubling his 3.2 HR/FB to 6.4% now. He has just a 10.9 K-BB% on the road since the start of last season and the Nationals, though a neutral matchup at home and vs RHP, have been one of the hottest offenses in baseball over the last week.

C.J. Wilson has at least seven strikeouts in each of his last five starts and has allowed just one ER over his last 15 innings, striking out 17 of 55 batters. We’ll talk more about his recent strikeout surge later. Houston is a hot team that was stifled last night and helps him generate one of the top expected K rates of the evening. They strike out 24.6% on the road, 23.6% vs LHP, and 28.6% over the last week. They do have a 14.5 HR/FB vs LHP and 25.0 HR/FB over the last week, but Wilson has just a 6.6 HR/FB at home, a pitcher’s park both for run value and power, since the start of last season. The biggest concern is that Wilson does allow fly balls on 35.1% of those batted and has a 31.4 Hard% this year.

Carlos Martinez has allowed two ERs or less in 11 of 13 starts this season now and in seven consecutive. He’s not a product of his home park either, with a solid 3.30 xFIP on the road since last season. The Marlins represent a matchup solidly in his favor. They are one of the worst offenses in the league both at home and vs RHP. Though they don’t strike out much, where he may have the real advantage here is limiting hard contact. Martinez has a 6.6 Hard-Soft% this season, including a -2.6% mark over the last two weeks, while the Marlins have just an 8.0 Hard-Soft% on the season and vs RHP.

C.C. Sabathia hasn’t really seen an increase in velocity, but hasn’t lost any more from last season either. What he has done, is pitch better and consistently hit his spots. He has a very respectable 16.5 K-BB% for the season now and a 21.8 K-BB% at home since last season. HRs are a major issue as he’s allowed 15 on the season and has a 23.1 HR/FB at home since 2014. Luckily his faces the Phillies tonight, who have just a 5.0 HR/FB on the road and -2.4 Hard-Soft% vs LHP. They are the 3rd worst road offense in baseball, despite the breakout last night. As you can see in the main chart, Sabathia has potentially the worst expected HR/FB tonight, but also potentially the lowest walk rate, but more than any other pitcher tonight, you really want to keep an eye on the umpire assignment, though the is solid enough that he might be of use either way.

Chris Archer has run into a little bit of a jam over his last two starts, allowing three ERs in each over a total of 12 innings, striking out just eight of 50 batters faced. The most positive take away from his last two outings though is a -18.0 Hard-Soft% which feeds now a 5.7 Hard-Soft% for the season. He’s still having a breakout season overall and pitches in a great park with a great defense behind him, but is not in a great spot tonight against one of the better road offenses and the 2nd best vs RHP. They hit very well over the last week with just a 7.5 K-BB%.

Collin McHugh has a 3.39 road xFIP since the start of last season, but its now fair to say he’s lost most of the gains he made last season and may have been a one hit wonder, though he has faced a run of tough offenses in tough parks over the last month or so and generates some underlying numbers that suggest a better ERA. He’d be a prime candidate to examine on a shorter day, but has a decent park adjusted matchup, though the Angels have just a 6.0 K-BB% over the last week.

Danny Salazar only allowed two ERs in his last start, but struck out just four of 21 batters and didn’t even make it through five full innings. He does have a 19.6 K-BB% and 3.26 xFIP at home since the start of last season and has struck out 17 of 58 Tigers he’s faced this season. The Tigers are a good offense that adjusts down to neutral in a park favorable for the pitcher.

David Price shut out Cleveland almost two weeks ago and has been dominant over the last month. He has some of the best overall ERA estimators of the day in the chart above and a 20.9 K-BB% on the road since last season. Cleveland has been an above average offense at home and vs LHP due to some great plate discipline stats, but have just a 7.4 HR/FB vs LHP and David Price doesn’t walk batters. They’ve been cold over the last week and the park adjusts them down to a slightly favorable matchup.

Jeff Samardzija has finally begun pitching like the guy the White Sox thought they had acquired over his last two starts (14 IP – 5 ER – 0 HR – 1 BB – 14 K) and faces a team that really struggles vs RHP. The Twins have just an 8.0 HR/FB and 7.1 Hard-Soft% vs RHP. Samardzija has a 17.0 K-BB% and 3.38 road xFIP since last season.

Jeremy Guthrie is not a good pitcher and I rarely spend precious time writing about him anymore, but he’s in a great spot tonight. The Mariners were just dominated by Joe Blanton last night and are now the 5th worst offense vs RHP. They’ve been ice cold over the last week and the park adjusts them to potentially the top matchup tonight. Actually, there’s no probably about it. They are the best park adjusted matchup tonight and that’s not even taking into consideration that Nelson Cruz got hurt last night. Seattle strikes out over 23% of the time both at home and vs RHP and may pull Guthrie’s K% up to a useful rate tonight.

Jesse Chavez is someone I like to call a league average pitcher in a great park at a good price in a decent spot where appropriate and that generally makes him a useful daily fantasy pitcher. His last start was such an occasion, but he was much better than that, striking out 11 of 25 Padres. He’s now allowed fewer than three ERs in six of 11 starts and never more than four with a better than league average 16.3 K-BB%. Maybe I have to call him a good pitcher tonight, which kind of helps because the park and matchup aren’t as strong. The Rangers are banged up and the coldest offense in the league though, with a -7.0 Hard-Soft% and 31.4 K% over the last week. They are banged up (AGAIN!) and are not hitting at all right now.

Jon Niese has had shoulder issues over the last few years. He adjusted his delivery this pre-season in order to stay healthy, but it just wasn’t working from a results standpoint, so he shifted back a couple of weeks ago. The results have been a few more strikeouts and a few less runs, but nothing to go too nuts about. The biggest benefit has been a -7.5 Hard-Soft% over the last two weeks. He’s coming off a strong start though, considering he was a LHP facing the Blue Jays in Toronto last time out and allowed only three ERs over 7 IP. Tonight, he faces a team that should be good against LHP in a great park, but have, in fact, been pretty terrible vs LHP. Even adjusted upward for park, this seems like a favorable matchup for Niese because the Brewers have been nearly just as bad at home too.

Madison Bumgarner has gone at least eight innings with seven strikeouts or more in each of his last three starts and is generally just really good as you probably know, so I’ll stop trying to dig up stats to prove so. The Padres have not been good, as you probably also know, and provide further benefit towards the pitcher with an added negative park adjustment for the offense. The Padres have a 23.5 K% vs LHP and 26.5 K% over the last week. One surprising find though, is that they now have the top Hard-Soft rate (16.5%) vs LHP this year despite just a 7.8 HR/FB and normal LD rate. Bumgarner projects potentially one of the top K rates of the day.

Mike Fiers generates hard contact (42.5 Hard% leads the majors by nearly seven points) and pitches in a tough park where he’s allowed a 13.7 HR/FB since last season. He also more than the league average and generates fewer swinging strikes than average. That’s not a great profile, but he does generate strikeouts due to some great framing and other quirks. He also has a very good matchup, even with the park adjustment, against a terrible road team (23.1 K%) who aren’t hitting at all right now.

Tanner Roark may not even start. As of noon on Tuesday, mlb.com still hasn’t listed a starter and there is speculation it may be Strasburg. I elected to show Roark today because you know you’re not trusting Strasburg off the injury layoff, but maybe you want to see Roark’s numbers just in case and they aren’t that bad plus he’s facing a much weaker Atlanta lineup without Freeman.

Zack Greinke used to have a reputation as a bad road pitcher or at least not a stable one, but has a 2.99 xFIP away from Dodger Stadium since the start of last season. He’s allowed two or fewer ERs with seven or more strikeouts in four of his last five starts and has managed contact well on the season (4.8 Hard-Soft%). The Cubs strike out a quarter of the time both at home and vs RHP, putting Greinke right near the top of the board today in expected K rate.

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

Alex Chi Chi Gonzalez (.183 BABIP – 94.6 LOB% – 3.6 HR/FB)

Michael Montgomery (.247 BABIP – 76.9 LOB% – 2.9 HR/FB)

Mike Pelfrey (.287 BABIP – 79.2 LOB% – 7.6 HR/FB) – None of those numbers are extreme, but each border on an acceptable range with the BABIP and LOB far better than his career rates. He has just a 4.3 K-BB%.

NO THANK YOU

Chase Anderson – Colorado takes a neutral matchup here and blows it up into the worst park adjusted spot tonight.

Jason Hammel has been very good this year, but faces the 2nd best road offense and best vs RHP in what can be an offensive friendly park.

Jeff Locke

Joe Kelly

Jose Urena

Josh Smith is a nearly 28 year old rookie making his major league debut. He stalled reaching AAA for the first time in 159 innings last year and was even demoted to AA for a month this season.

Kyle Kendrick

Odrisamer Despaigne

R.A. Dickey

Sean O’Sullivan

Ubaldo Jimenez – While he’s exceeded expectations this season, the Boston offense has come alive and is the hottest in the land over the last week.

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%
Alex Gonzalez Rangers 8.6% 10.3% Home 7.1% 12.5% L14 Days 9.5% 7.9%
Alex Wood Braves 22.3% 6.8% Road 18.1% 7.2% L14 Days 24.1% 11.1%
C.J. Wilson Angels 20.4% 9.6% Home 20.4% 8.9% L14 Days 30.9% 5.5%
Carlos Martinez Cardinals 22.8% 9.5% Road 23.3% 9.1% L14 Days 18.5% 7.4%
CC Sabathia Yankees 19.9% 6.6% Home 24.5% 2.7% L14 Days 21.3% 0.0%
Chase Anderson Diamondbacks 19.3% 7.1% Road 19.0% 7.3% L14 Days 8.2% 4.1%
Chris Archer Rays 22.8% 7.3% Home 24.5% 8.3% L14 Days 16.0% 6.0%
Collin McHugh Astros 21.8% 5.9% Road 21.9% 6.5% L14 Days 18.8% 14.6%
Danny Salazar Indians 27.9% 7.0% Home 26.4% 6.8% L14 Days 20.8% 4.2%
David Price Tigers 24.2% 3.8% Road 25.7% 4.8% L14 Days 28.0% 2.0%
Jason Hammel Cubs 22.0% 5.9% Home 21.0% 5.3% L14 Days 23.3% 11.6%
Jeff Locke Pirates 17.2% 9.2% Home 16.0% 6.3% L14 Days 20.8% 6.3%
Jeff Samardzija White Sox 21.4% 5.8% Road 21.8% 4.8% L14 Days 24.6% 1.8%
Jeremy Guthrie Royals 13.3% 5.7% Road 15.3% 5.6% L14 Days 16.3% 2.0%
Jesse Chavez Athletics 22.2% 7.5% Road 23.2% 6.8% L14 Days 26.4% 5.7%
Joe Kelly Red Sox 15.8% 9.4% Home 18.5% 8.3% L14 Days 12.5% 10.4%
Jon Niese Mets 17.7% 6.0% Road 16.7% 6.5% L14 Days 17.9% 10.7%
Jose Urena Marlins 9.8% 7.5% Home 10.4% 6.3% L14 Days 4.0% 8.0%
Josh Smith Reds 0.0% 0.0% Road L14 Days
Kyle Kendrick Rockies 13.0% 6.5% Home 15.2% 7.0% L14 Days 9.4% 9.4%
Madison Bumgarner Giants 24.5% 5.6% Home 25.5% 6.3% L14 Days 26.2% 6.6%
Michael Montgomery Mariners 11.3% 7.6% Home 10.0% 6.3% L14 Days 8.9% 8.9%
Mike Fiers Brewers 26.0% 7.4% Home 26.2% 7.3% L14 Days 18.9% 11.3%
Mike Pelfrey Twins 13.6% 9.0% Home 13.6% 10.5% L14 Days 6.0% 8.0%
Odrisamer Despaigne Padres 14.4% 6.6% Road 12.9% 6.5% L14 Days 13.2% 3.8%
R.A. Dickey Blue Jays 18.6% 7.7% Road 16.0% 7.9% L14 Days 21.4% 10.7%
Sean O’Sullivan Phillies 11.0% 7.9% Road 7.6% 7.6% L14 Days 16.0% 12.0%
Tanner Roark Nationals 16.8% 5.0% Home 16.3% 5.5% L14 Days 13.8% 3.5%
Ubaldo Jimenez Orioles 23.5% 10.7% Road 22.5% 12.5% L14 Days 26.9% 3.9%
Zack Greinke Dodgers 23.9% 5.4% Road 22.5% 5.2% L14 Days 26.8% 1.8%

Combo K/BB Charts – Opponent

Opponent Split K% BB% Split K% BB% Split K% BB%
Athletics Road 19.4% 8.4% RH 17.2% 7.7% L7Days 13.6% 7.9%
Nationals Home 21.3% 7.6% LH 21.3% 9.0% L7Days 16.5% 6.1%
Astros Road 24.6% 7.3% LH 23.6% 8.5% L7Days 28.6% 6.4%
Marlins Home 19.2% 6.7% RH 20.6% 6.0% L7Days 24.1% 6.7%
Phillies Road 19.6% 5.5% LH 19.7% 6.9% L7Days 16.7% 6.5%
Rockies Home 17.8% 6.5% RH 20.0% 5.7% L7Days 22.4% 7.2%
Blue Jays Road 21.5% 7.4% RH 19.7% 8.4% L7Days 18.3% 10.8%
Angels Home 19.9% 7.6% RH 19.4% 7.1% L7Days 16.6% 10.6%
Tigers Road 20.8% 8.4% RH 18.9% 7.3% L7Days 18.3% 7.7%
Indians Home 18.5% 10.6% LH 16.4% 10.2% L7Days 20.2% 10.1%
Dodgers Road 19.5% 10.4% RH 19.2% 9.8% L7Days 14.0% 8.6%
Reds Road 19.7% 7.8% LH 20.4% 9.1% L7Days 17.4% 6.7%
Twins Home 18.1% 6.3% RH 20.5% 6.3% L7Days 16.9% 7.2%
Mariners Home 23.8% 7.9% RH 23.1% 8.2% L7Days 24.2% 10.6%
Rangers Home 19.4% 8.7% RH 20.2% 8.0% L7Days 31.4% 6.7%
Orioles Road 24.1% 7.0% RH 22.5% 7.5% L7Days 21.1% 8.9%
Brewers Home 22.5% 6.7% LH 22.1% 6.5% L7Days 16.1% 4.1%
Cardinals Road 21.9% 7.4% RH 18.8% 7.7% L7Days 19.1% 8.3%
Pirates Home 18.7% 6.9% RH 20.3% 6.4% L7Days 23.8% 3.9%
Diamondbacks Road 19.5% 7.3% RH 19.9% 7.6% L7Days 25.4% 5.9%
Padres Road 21.6% 7.6% LH 23.5% 8.3% L7Days 26.5% 5.9%
Royals Road 16.7% 5.2% LH 14.3% 5.9% L7Days 11.2% 6.7%
Mets Road 23.1% 6.0% RH 20.4% 7.0% L7Days 19.3% 5.0%
White Sox Road 19.0% 5.7% RH 19.2% 6.5% L7Days 16.9% 7.1%
Giants Home 16.8% 7.6% RH 17.0% 7.5% L7Days 16.1% 9.4%
Rays Home 22.4% 7.7% RH 21.1% 7.3% L7Days 21.6% 6.3%
Yankees Home 18.4% 8.5% RH 18.8% 7.8% L7Days 12.7% 9.5%
Braves Road 18.4% 7.2% RH 16.8% 8.0% L7Days 19.4% 8.8%
Red Sox Home 16.9% 8.1% RH 15.9% 8.0% L7Days 12.9% 6.7%
Cubs Home 25.0% 9.3% RH 25.1% 8.5% L7Days 23.4% 7.4%

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%
Alex Gonzalez Rangers 18.3% 3.6% 3.6% Home 17.8% 9.1% 0.0% L14 Days 21.6% 6.3% 0.0%
Alex Wood Braves 20.9% 8.2% 8.5% Road 18.9% 6.6% 8.1% L14 Days 11.8% 20.0% 13.3%
C.J. Wilson Angels 22.4% 8.8% 8.0% Home 21.9% 7.1% 10.3% L14 Days 25.7% 0.0% 10.0%
Carlos Martinez Cardinals 20.4% 9.2% 9.9% Road 21.5% 8.2% 8.2% L14 Days 20.5% 12.5% 0.0%
CC Sabathia Yankees 22.8% 16.3% 9.6% Home 26.7% 23.1% 12.8% L14 Days 30.6% 27.3% 18.2%
Chase Anderson Diamondbacks 24.1% 9.8% 9.3% Road 26.7% 7.5% 8.8% L14 Days 29.3% 0.0% 0.0%
Chris Archer Rays 21.0% 8.4% 11.0% Home 22.9% 7.8% 12.1% L14 Days 13.5% 0.0% 12.5%
Collin McHugh Astros 22.8% 11.6% 9.3% Road 21.2% 10.8% 11.8% L14 Days 16.7% 18.8% 0.0%
Danny Salazar Indians 22.5% 12.5% 12.1% Home 20.5% 10.8% 10.8% L14 Days 13.9% 12.5% 6.3%
David Price Tigers 22.0% 8.0% 10.6% Road 21.9% 9.4% 7.8% L14 Days 29.4% 10.0% 0.0%
Jason Hammel Cubs 22.6% 11.7% 6.9% Home 22.2% 10.7% 6.6% L14 Days 18.5% 7.7% 0.0%
Jeff Locke Pirates 20.6% 12.0% 9.5% Home 20.2% 10.1% 7.1% L14 Days 18.2% 0.0% 12.5%
Jeff Samardzija White Sox 20.7% 11.6% 8.9% Road 22.0% 10.5% 7.9% L14 Days 17.5% 0.0% 7.1%
Jeremy Guthrie Royals 22.5% 9.5% 8.2% Road 21.1% 12.7% 9.6% L14 Days 30.0% 10.0% 10.0%
Jesse Chavez Athletics 22.0% 8.4% 10.3% Road 20.4% 11.7% 12.4% L14 Days 22.2% 8.3% 16.7%
Joe Kelly Red Sox 20.7% 9.4% 7.6% Home 25.0% 9.7% 3.2% L14 Days 18.9% 0.0% 0.0%
Jon Niese Mets 22.4% 11.2% 6.6% Road 20.9% 12.0% 7.2% L14 Days 15.4% 33.3% 33.3%
Jose Urena Marlins 19.6% 10.7% 14.3% Home 17.9% 10.0% 10.0% L14 Days 23.3% 9.1% 0.0%
Josh Smith Reds 0.0% 0.0% 0.0% Road L14 Days
Kyle Kendrick Rockies 21.6% 12.1% 11.1% Home 22.7% 14.7% 12.3% L14 Days 25.0% 17.6% 11.8%
Madison Bumgarner Giants 19.6% 9.4% 13.2% Home 23.6% 9.6% 12.8% L14 Days 23.7% 0.0% 11.1%
Michael Montgomery Mariners 17.4% 2.9% 2.9% Home 16.4% 3.4% 3.4% L14 Days 19.6% 0.0% 0.0%
Mike Fiers Brewers 21.5% 9.4% 14.0% Home 22.6% 13.7% 12.6% L14 Days 16.2% 11.1% 5.6%
Mike Pelfrey Twins 21.3% 8.4% 10.5% Home 24.4% 7.7% 3.8% L14 Days 19.5% 15.4% 0.0%
Odrisamer Despaigne Padres 20.8% 10.1% 7.4% Road 21.2% 12.9% 7.1% L14 Days 19.5% 10.0% 10.0%
R.A. Dickey Blue Jays 20.6% 12.3% 12.9% Road 20.9% 8.9% 13.0% L14 Days 21.1% 12.5% 6.3%
Sean O’Sullivan Phillies 18.8% 10.9% 7.6% Road 17.4% 25.0% 0.0% L14 Days 14.7% 7.7% 7.7%
Tanner Roark Nationals 20.9% 8.1% 11.5% Home 19.4% 8.5% 8.5% L14 Days 27.1% 8.3% 8.3%
Ubaldo Jimenez Orioles 22.4% 9.2% 10.8% Road 22.9% 12.0% 15.2% L14 Days 32.4% 15.4% 7.7%
Zack Greinke Dodgers 21.5% 10.1% 11.3% Road 21.1% 7.8% 11.3% L14 Days 10.5% 10.0% 0.0%

Combo Batted Ball Charts – Opponent

Opponent Split LD% HR/FB% IFFB% Split LD% HR/FB% IFFB% Split LD% HR/FB% IFFB%
Athletics Road 20.5% 10.6% 8.9% RH 21.3% 9.4% 9.6% L7Days 24.3% 7.8% 15.6%
Nationals Home 19.2% 12.0% 8.5% LH 18.7% 11.3% 5.3% L7Days 20.2% 11.7% 13.3%
Astros Road 23.0% 12.7% 11.0% LH 19.8% 14.5% 9.4% L7Days 18.0% 25.0% 3.1%
Marlins Home 19.5% 9.3% 9.3% RH 21.0% 9.7% 9.2% L7Days 21.3% 13.6% 9.1%
Phillies Road 23.7% 5.0% 10.3% LH 22.9% 8.0% 8.8% L7Days 26.3% 11.9% 6.0%
Rockies Home 22.4% 11.6% 8.2% RH 20.9% 14.2% 7.9% L7Days 18.8% 8.6% 1.7%
Blue Jays Road 19.8% 11.3% 14.3% RH 18.9% 13.4% 13.8% L7Days 16.2% 12.9% 17.1%
Angels Home 21.8% 12.1% 9.9% RH 20.2% 11.5% 8.1% L7Days 17.5% 12.5% 6.3%
Tigers Road 22.3% 10.5% 5.6% RH 22.2% 8.9% 7.7% L7Days 22.2% 11.4% 7.1%
Indians Home 22.4% 8.7% 10.4% LH 22.1% 7.4% 6.1% L7Days 22.5% 6.0% 4.0%
Dodgers Road 21.1% 16.0% 7.8% RH 22.1% 16.2% 8.2% L7Days 28.8% 17.5% 3.2%
Reds Road 20.4% 9.5% 9.2% LH 23.5% 13.6% 7.4% L7Days 22.7% 15.4% 5.8%
Twins Home 21.3% 10.8% 10.5% RH 20.6% 8.0% 12.4% L7Days 20.3% 11.7% 10.0%
Mariners Home 20.6% 10.7% 7.3% RH 19.6% 9.9% 6.5% L7Days 15.9% 8.8% 7.0%
Rangers Home 18.5% 11.5% 8.2% RH 17.6% 11.1% 7.7% L7Days 15.2% 13.9% 5.6%
Orioles Road 19.2% 10.9% 7.5% RH 21.2% 14.0% 7.3% L7Days 21.1% 20.3% 6.3%
Brewers Home 20.1% 10.9% 8.3% LH 14.2% 12.9% 5.3% L7Days 21.8% 8.3% 10.4%
Cardinals Road 20.8% 11.2% 11.2% RH 22.7% 9.5% 9.0% L7Days 21.0% 14.5% 12.7%
Pirates Home 21.9% 11.7% 5.2% RH 21.4% 9.4% 7.1% L7Days 16.8% 8.3% 8.3%
Diamondbacks Road 19.5% 10.2% 9.8% RH 21.2% 10.5% 8.7% L7Days 21.8% 4.5% 4.5%
Padres Road 19.6% 8.5% 7.0% LH 20.7% 7.8% 4.7% L7Days 18.1% 14.0% 5.3%
Royals Road 24.0% 9.3% 10.0% LH 23.5% 7.4% 9.9% L7Days 20.0% 6.2% 11.1%
Mets Road 23.7% 9.0% 10.9% RH 23.0% 8.2% 12.1% L7Days 19.0% 4.5% 9.1%
White Sox Road 21.5% 7.2% 12.2% RH 21.7% 9.2% 11.4% L7Days 21.6% 5.3% 14.0%
Giants Home 19.5% 7.2% 7.6% RH 21.7% 10.5% 8.3% L7Days 19.5% 7.7% 3.8%
Rays Home 22.1% 10.1% 10.1% RH 22.0% 9.6% 10.0% L7Days 24.7% 15.3% 5.1%
Yankees Home 20.0% 16.5% 9.1% RH 21.5% 13.8% 8.1% L7Days 20.6% 17.9% 8.3%
Braves Road 23.0% 7.3% 8.7% RH 22.5% 7.6% 9.3% L7Days 16.0% 0.0% 8.0%
Red Sox Home 21.1% 11.5% 9.8% RH 20.5% 10.1% 11.7% L7Days 22.0% 10.3% 5.9%
Cubs Home 22.4% 10.5% 12.0% RH 20.4% 12.4% 10.6% L7Days 20.0% 16.2% 9.5%

K/SwStr Chart (2015 LG AVG – 20.2 K% – 9.6 SwStr% – 2.10 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%
Alex Gonzalez TEX 8.6% 5.8% 1.48 8.6% 5.8% 1.48
Alex Wood ATL 17.7% 7.1% 2.49 20.6% 9.3% 2.22
C.J. Wilson ANA 21.5% 8.5% 2.53 28.1% 8.8% 3.19
Carlos Martinez STL 25.5% 10.0% 2.55 27.8% 10.2% 2.73
CC Sabathia NYY 20.7% 9.0% 2.30 22.3% 10.0% 2.23
Chase Anderson ARI 15.9% 7.6% 2.09 13.5% 8.0% 1.69
Chris Archer TAM 31.1% 13.0% 2.39 34.9% 15.0% 2.33
Collin McHugh HOU 19.1% 10.6% 1.80 17.8% 9.6% 1.85
Danny Salazar CLE 30.0% 13.0% 2.31 24.8% 10.5% 2.36
David Price DET 22.3% 11.3% 1.97 23.5% 12.7% 1.85
Jason Hammel CHC 25.7% 11.1% 2.32 29.1% 13.3% 2.19
Jeff Locke PIT 18.3% 8.9% 2.06 18.4% 10.0% 1.84
Jeff Samardzija CHW 19.0% 9.7% 1.96 19.2% 10.0% 1.92
Jeremy Guthrie KAN 10.6% 6.5% 1.63 13.9% 7.7% 1.81
Jesse Chavez OAK 22.4% 9.7% 2.31 21.6% 9.7% 2.23
Joe Kelly BOS 18.5% 7.1% 2.61 13.5% 5.9% 2.29
Jon Niese NYM 15.9% 5.7% 2.79 21.6% 6.4% 3.38
Jose Urena FLA 9.8% 7.4% 1.32 10.8% 7.4% 1.46
Josh Smith CIN
Kyle Kendrick COL 11.1% 6.0% 1.85 8.2% 5.7% 1.44
Madison Bumgarner SFO 23.3% 11.5% 2.03 25.9% 12.5% 2.07
Michael Montgomery SEA 11.3% 6.9% 1.64 11.3% 6.9% 1.64
Mike Fiers MIL 24.6% 9.2% 2.67 20.6% 8.0% 2.58
Mike Pelfrey MIN 11.4% 5.3% 2.15 11.4% 5.1% 2.24
Odrisamer Despaigne SDG 12.1% 5.3% 2.28 14.1% 5.5% 2.56
R.A. Dickey TOR 15.2% 9.0% 1.69 21.1% 11.3% 1.87
Sean O’Sullivan PHI 10.8% 6.3% 1.71 8.3% 7.1% 1.17
Tanner Roark WAS 12.0% 6.3% 1.90 14.6% 6.2% 2.35
Ubaldo Jimenez BAL 23.6% 8.6% 2.74 24.1% 10.6% 2.27
Zack Greinke LOS 22.7% 11.4% 1.99 25.8% 13.1% 1.97

C.J. Wilson – Unfortunately, his strikeout surge has not been accompanied by a rise in his SwStr% over the last month. It’s essentially within a percentage point of where it’s been for the season and his career.

Colin McHugh doesn’t really have a K% that’s that far out of range with his SwStr%, but does have rates that might suggest some optimism. His K% has decreased 6.3 points from last season, but the SwStr% has only dropped 0.4 points. If the truth lies somewhere in between it might help him pull his ERA estimators below four.

Jeremy Guthrie – We’re not looking at anything special here, but his SwStr% is almost exactly in line with his career mark, so I’d expect his K% to trend closer to his 13.8% career mark. It’s not good, but it is better. He’s actually been a bit better than that over the last month.

Mike Fiers will conform just like everybody else. I win!!! No, but seriously, he’s in within an accepted range, although the top end of that range, now and has some great pitch framers catching him. A pitcher with a slightly below average SwStr rate can have an above average K rate, there are just generally limits to how high.

ERA Estimators Chart (2015 LG AVG – 3.88 ERA – 3.80 SIERA – 3.88 xFIP – 3.88 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
Alex Gonzalez TEX 0.9 5.51 4.61 5.04 4.14 4.17 3.27 0.9 5.51 4.61 5.04 4.14 4.17 3.27
Alex Wood ATL 3.4 4.12 0.72 3.95 0.55 3.39 -0.01 2.78 3.85 1.07 3.9 1.12 3.51 0.73
C.J. Wilson ANA 3.39 3.74 0.35 3.78 0.39 3.51 0.12 3.83 3.18 -0.65 3.25 -0.58 4.08 0.25
Carlos Martinez STL 2.8 3.45 0.65 3.24 0.44 3.66 0.86 1.06 2.95 1.89 2.82 1.76 2.55 1.49
CC Sabathia NYY 5.31 3.46 -1.85 3.42 -1.89 4.29 -1.02 6.39 3.26 -3.13 3.13 -3.26 4.62 -1.77
Chase Anderson ARI 2.84 4.11 1.27 4.03 1.19 3.18 0.34 3.34 4.1 0.76 3.98 0.64 3.1 -0.24
Chris Archer TAM 2.18 2.46 0.28 2.35 0.17 2.14 -0.04 1.8 1.8 0 1.65 -0.15 1.1 -0.7
Collin McHugh HOU 5.04 3.86 -1.18 4 -1.04 4.42 -0.62 7.07 4.36 -2.71 4.8 -2.27 6.1 -0.97
Danny Salazar CLE 3.56 2.72 -0.84 2.84 -0.72 3.51 -0.05 3.64 3.44 -0.2 3.44 -0.2 3.88 0.24
David Price DET 2.5 3.53 1.03 3.54 1.04 2.94 0.44 1.19 3.42 2.23 3.42 2.23 2.36 1.17
Jason Hammel CHC 2.89 3.01 0.12 3.13 0.24 3.09 0.2 3.23 2.96 -0.27 3.26 0.03 3.27 0.04
Jeff Locke PIT 4.74 4.08 -0.66 3.96 -0.78 4 -0.74 3.86 4.21 0.35 4.11 0.25 3.89 0.03
Jeff Samardzija CHW 4.67 3.74 -0.93 3.75 -0.92 3.66 -1.01 5.4 3.54 -1.86 3.65 -1.75 3.61 -1.79
Jeremy Guthrie KAN 5.55 5.15 -0.4 5.05 -0.5 5.19 -0.36 7.13 4.75 -2.38 4.89 -2.24 6.1 -1.03
Jesse Chavez OAK 2.52 3.51 0.99 3.49 0.97 2.75 0.23 2.06 3.31 1.25 3.12 1.06 2.7 0.64
Joe Kelly BOS 5.32 4.2 -1.12 4.08 -1.24 4.02 -1.3 5.7 4.69 -1.01 4.64 -1.06 3.65 -2.05
Jon Niese NYM 4.21 3.9 -0.31 3.76 -0.45 4.42 0.21 5.02 3.38 -1.64 3.15 -1.87 4.64 -0.38
Jose Urena FLA 4.18 4.75 0.57 4.62 0.44 4.62 0.44 3.68 4.64 0.96 4.49 0.81 4.33 0.65
Josh Smith CIN
Kyle Kendrick COL 5.95 5.17 -0.78 5.17 -0.78 6.1 0.15 4.88 5.62 0.74 5.54 0.66 6.26 1.38
Madison Bumgarner SFO 3.09 3.27 0.18 3.33 0.24 3.29 0.2 3.47 3.01 -0.46 3.01 -0.46 3.21 -0.26
Michael Montgomery SEA 2.73 5.11 2.38 4.91 2.18 3.6 0.87 2.73 5.11 2.38 4.91 2.18 3.6 0.87
Mike Fiers MIL 4.5 3.61 -0.89 3.81 -0.69 3.73 -0.77 4.18 4.1 -0.08 4.4 0.22 3.75 -0.43
Mike Pelfrey MIN 2.97 4.55 1.58 4.48 1.51 4.13 1.16 2.94 4.6 1.66 4.17 1.23 3.7 0.76
Odrisamer Despaigne SDG 4.92 4.36 -0.56 4.3 -0.62 4.69 -0.23 3.62 3.87 0.25 3.78 0.16 4.09 0.47
R.A. Dickey TOR 4.96 4.74 -0.22 4.67 -0.29 5.27 0.31 3.9 4.19 0.29 4.22 0.32 4.37 0.47
Sean O’Sullivan PHI 4.79 5.02 0.23 5.08 0.29 5.63 0.84 6.04 5.57 -0.47 5.62 -0.42 5.89 -0.15
Tanner Roark WAS 3.38 4.32 0.94 4.28 0.9 5.08 1.7 3.86 4.18 0.32 4.12 0.26 5.51 1.65
Ubaldo Jimenez BAL 3.27 3.46 0.19 3.31 0.04 3.43 0.16 3.94 3.64 -0.3 3.63 -0.31 4.01 0.07
Zack Greinke LOS 1.81 3.22 1.41 3.22 1.41 2.95 1.14 2.41 2.55 0.14 2.53 0.12 2.78 0.37

Alex Wood is sitting on a .335 BABIP that’s not terribly out of range, but well above his team’s allowed BABIP. His batted ball rates and contact authority stats look to be about league average across the board. The Z-Contact% seems to be the one thing that is not up to par and well above his 86.6% mark last year. I’d expect some regression, but maybe he doesn’t get below .300. We’ve just how sustainable his low HR/FB is over the last two starts where it’s doubled. He’s in a good park most nights, so it has a chance to remain in single digits, but might have a bit more to go.

Carlos Martinez has a surprising 16.0 HR/FB this season, but a heavy ground ball rate. He’s only allowed 50 fly balls all season, so that should regress over time. The 83.9 LOB% is likely what’s allowed him to keep his run of starts with two or fewer ERs allowed going on occasion and is a prime candidate for some regression. It’s increased to 89.6% over the last month.

C.C. Sabathia has diminished stuff and he knows it. What he wants to do is avoid the center of the strike zone as much as possible and he’s done a good job in his walk and strikeout rates. However, he pitches in a lot of parks that do him no favor in the AL East and though he has a hard hit rate just below 30% (29.7%), I’m not sure how much regression we should expect from his 17.0 HR/FB. His 1.33 GB/FB is exactly his career mark, but his lowest mark since 2009. His 21.8 LD% isn’t too high and his other BABIP indicators in the chart below are a bit worse than average, but not too bad, so maybe we can expect some BABIP regression too, but his defense is not going to help him too much in that regard. I don’t even really expect him to be really good again, but he can be useful in the right spots and against a bad team with little power tonight might be one of those spots.

Collin McHugh profiles as a roughly league average or slightly worse pitcher this year, except a power friendly park hasn’t exactly helped and might be more reflected in his FIP. He hasn’t pitched in a pitcher’s park since this LA one he’s pitching in tonight on May 7th and has allowed just one of his 13 HRs in his three pitcher friendly park starts this season. He has to pitch where he has to pitch though and who knows how much we’ll see his 13.7 HR/FB improve, but the Astros have done well to suppress BABIP as a team, so we might see some improvement there and we already talked about the potential for an increased K%.

David Price has a solid 9.0 HR/FB mark for his career, but spent most of that in a great pitcher’s park. Detroit plays more neutral for runs and power, so I wouldn’t expect his career best 6.5 HR/FB to last.

Jeff Samardzija is striking out fewer batters, but still has league average K and SwStr rates. He has an elevated BABIP, but no good indicators, a 24.7 LD%, and a terrible defense. Unfortunately, there’s nothing to suggest much regression in his favor, which might not help his 67.5 LOB% either. His peripherals may translate to a league average pitcher, but his circumstances dictate something worse than that.

Jeremy Guthrie allowed 11 ERs and four HRs to the Yankees in New York on the 25th of May. He’s allowed eight ERs over 23 innings with 14 Ks and just four walks with two HRs since. If he has decent results tonight, which seems like a possibility, his “Last 30 Days” will look much different the next time he starts.

Jesse Chavez has a 5.1 HR/FB that actually rose is his dominant last start. He pitches in a great park, but even now that’s still a small number.

Mike Fiers – I don’t know why his BABIP is 144 points higher than last season. He has a 22.9 LD% that’s a bit higher than last season, but not insane and otherwise solid indicators in the chart below. The defense hasn’t helped, but we’re left looking at the opposite ends of extreme over each of the last two years. You can point to the frequency of hard hit balls, but that’s been shown to correlate less with BABIP and more with overall performance. Considering he has a normal 10.2 HR/FB, most of his hard hit balls are remaining in the park and probably contributing to a terrible BABIP. It’s the most reasonable explanation.

Zack Greinke is having a great season, but with a career low BABIP and 87.6 LOB% that makes it look even better. He does generate a lot of weak contact (22.8 Soft% is top 10 in baseball) and frequently miss bats in the zone, making him difficult to square up, but also only previously has two seasons with a sub .300 BABIP. His overall profile suggests an ERA about a run higher, which still makes him an all-star.

BABIP Chart (2015 LG AVG – .293 BABIP – 9.5 IFFB% – 86.8 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
Alex Gonzalez TEX 0.285 0.183 -0.102 3.6% 90.6%
Alex Wood ATL 0.295 0.335 0.04 10.3% 90.4%
C.J. Wilson ANA 0.275 0.270 -0.005 10.9% 89.0%
Carlos Martinez STL 0.293 0.286 -0.007 8.0% 89.5%
CC Sabathia NYY 0.308 0.343 0.035 9.1% 89.9%
Chase Anderson ARI 0.295 0.291 -0.004 9.2% 88.0%
Chris Archer TAM 0.281 0.295 0.014 6.6% 84.0%
Collin McHugh HOU 0.279 0.316 0.037 7.4% 85.4%
Danny Salazar CLE 0.317 0.315 -0.002 9.0% 81.4%
David Price DET 0.284 0.289 0.005 11.2% 83.1%
Jason Hammel CHC 0.294 0.266 -0.028 1.2% 86.9%
Jeff Locke PIT 0.295 0.320 0.025 6.3% 87.6%
Jeff Samardzija CHW 0.323 0.334 0.011 7.3% 89.1%
Jeremy Guthrie KAN 0.273 0.307 0.034 8.4% 89.0%
Jesse Chavez OAK 0.282 0.288 0.006 15.2% 83.8%
Joe Kelly BOS 0.300 0.301 0.001 4.4% 91.9%
Jon Niese NYM 0.295 0.319 0.024 7.0% 92.7%
Jose Urena FLA 0.294 0.286 -0.008 14.3% 89.4%
Josh Smith CIN 0.278
Kyle Kendrick COL 0.311 0.273 -0.038 9.0% 90.5%
Madison Bumgarner SFO 0.284 0.283 -0.001 15.6% 87.0%
Michael Montgomery SEA 0.286 0.247 -0.039 2.9% 90.6%
Mike Fiers MIL 0.314 0.368 0.054 14.8% 85.3%
Mike Pelfrey MIN 0.297 0.287 -0.01 6.1% 93.5%
Odrisamer Despaigne SDG 0.310 0.288 -0.022 4.6% 92.2%
R.A. Dickey TOR 0.284 0.251 -0.033 9.9% 83.7%
Sean O’Sullivan PHI 0.309 0.283 -0.026 7.0% 91.9%
Tanner Roark WAS 0.319 0.258 -0.061 9.1% 90.6%
Ubaldo Jimenez BAL 0.285 0.311 0.026 13.6% 87.4%
Zack Greinke LOS 0.295 0.254 -0.041 8.3% 84.6%

Jeremy Guthrie has a great team defense, but no otherwise even average indicators and a 26.0 LD%, though he does have a .282 career BABIP.

Pitcher Notes & Summary

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Carlos Martinez has been all the Cardinals can ask for. He generates strikeouts and has managed contact well. He has a very good matchup against an offense that doesn’t hit RHP in a big park tonight at a high, but reasonable price tonight.

C.J. Wilson could generate some strikeouts here and does a good job of generally keeping the ball in the park at home, but his price tag probably makes it difficult for him to generate too much value beyond it.

C.C. Sabathia – If he gets a favorable umpiring situation, he might be my top value of the night. The Phillies may have looked good last night, but have a negative Hard-Soft% vs LHP this year. Sabathia’s struggles this year have come mostly from the long ball as he still has very respectable K and BB rates and the Phillies just don’t have too many guys that can take lefties deep.

Chris Archer has a tough matchup that knocks him outside my top three overall. He could and probably should still be ok, but he better be really good for the price you’re asked to pay.

Danny Salazar – I have ranked pretty close to Archer overall, but with a slightly cheaper price tag across the board and slightly better matchup, he gets the potential value bump here. Both have tremendous upside obviously, but he’s in a slightly better spot with a slightly higher expected K rate, and has handled the Tigers well this year.

David Price – My top three overall guys are all pretty close together in tier one, so you’re basically looking at cost and Price is the most expensive. He absolutely deserves and still should be able to generate some value beyond it as he just shut out this team not too long ago. Cleveland has some great plate discipline stats, but he’s good enough to still generate better than average walk and strikeout rates. I’m fine with any of these three anchoring a double up lineup tonight, but the other two might generate slightly more expected value.

Jeff Samardzija may be a bit risky tonight due to failings this season, but may finally be putting it together with back to back strong starts for the first time in a while and is in a good enough spot here against a team that struggles against RHP that he might be worth taking a shot with tonight. He’s not cheap, but has a reasonable cost attached, close to the middle of most boards.

Jeremy Guthrie – Some pitchers will never be mentioned in this section and I thought he’d be one of them, but sometimes the spot is just perfect enough for a dumpster diving special. He’s in a great park against a struggling offense who may have just lost their cleanup hitter and the only guy really producing for them offensively this year. He hasn’t really been bad either since blowing up against the Yankees almost a month ago. He’s worth a look at the minimum price or close to it tonight.

Jesse Chavez isn’t in Oakland tonight, but the Rangers are really banged up and showing it. Chavez has pitched well enough that I may have to upgrade him from the average pitcher I’ve been calling him all along, but he’s still on the bottom of most boards and only priced excessively on one site that I can see. He’s still on the bottom half of the board on most sites and should be able to put up some decent or better numbers tonight.

Jon Niese – The long ball may be a problem, but he may generate some contrarian value tonight if all other DFS players see is a mediocre lefty facing a bunch of RH sluggers in a hitter’s park. It seems he’s priced more towards what people expect from the Brewers at home against a lefty than what they’ve actually done. We’re almost mid-way through the season and they have been really bad vs LHP at home.

Madison Bumgarner is one of the big three tonight and generally priced as #2 across the board, which is why I mention that I like his potential value a little bit better than Price tonight. He’s got a good matchup in a great park and projects to be one of the top strikeout generators tonight.

Mike Fiers has some major flaws, but faces a bad road offense that is really struggling right now and is priced reasonably in some places with an above average projected strikeout rate.

Zack Greinke is the last of the big three, but only alphabetically. He projects right there with Price and Bumgarner, though closer to Bumgarner at the top in terms of potential K rate tonight. He is the cheapest of the three though by a small margin, which may give him the most value here. It’s really close though. Look for weather, lineup, and umpire reports to really be the deciding factor between these guys tonight as those can make the difference when it’s really close.

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.