Advanced Stats - Pitching Charts: Wednesday, May 13th

We have two mid-afternoon games today and Cleveland is doing their silly one hour early thing again, but the other twelve are at night in a larger than normal Wednesday night slate. If you thought there were some bad pitchers going yesterday, wait until you get a load of some of these sad sacks. Let’s try to sort it all out starting now.

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%
Aaron Sanchez TOR 5.8 4.01 5.35 3.03 1.04 3.71 5.88 BAL 122 113 91 20.3% 10.5% 19.0% 15.2% 4.5%
Adam Warren NYY -6.2 3.66 4.88 1.42 0.94 4.17 5.09 TAM 110 95 112 18.6% 9.3% 22.5% 9.5% 16.9%
Brett Oberholtzer HOU 4.2 4.24 6.12 0.87 1.01 4.3 SFO 95 90 102
Carlos Frias LOS 10.2 3.01 4.25 1.83 0.89 3.33 2.9 FLA 92 88 93 21.7% 6.1% 20.2% 11.2% 5.9%
Cole Hamels PHI -0.4 3.3 6.73 1.31 1.01 3.22 3.85 PIT 73 70 108 23.0% 7.2% 24.0% 11.6% 12.4%
Corey Kluber CLE -7.1 2.85 6.53 1.63 0.94 2.67 4.07 STL 104 111 110 21.2% 6.5% 20.8% 12.0% 10.7%
Eric Stults ATL -10.1 4.31 5.86 1.1 1.02 3.95 3.98 CIN 83 99 99 18.8% 7.0% 20.9% 13.7% 7.1%
Francisco Liriano PIT -1.4 3.5 5.93 1.96 1.01 3.22 3.26 PHI 64 98 85 22.6% 8.5% 22.3% 9.8% 8.6%
Gio Gonzalez WAS -9 3.52 6.09 1.37 1.09 3.37 2.28 ARI 93 103 139 22.8% 8.2% 21.1% 10.1% 8.2%
Hector Santiago ANA 4.5 4.45 5.31 0.7 0.91 4.81 4.71 COL 92 70 72 20.5% 8.6% 19.8% 8.2% 9.7%
James Shields SDG -23.8 3.65 6.59 1.23 0.85 3.52 3.1 SEA 116 98 138 21.6% 7.0% 19.0% 18.9% 10.2%
Jarred Cosart FLA -0.5 4.52 5.96 2.13 0.89 4.1 3.57 LOS 146 135 162 18.3% 10.5% 21.7% 16.2% 7.3%
Jason Hammel CHC 1.7 3.76 5.98 1.04 1.05 3.5 3.62 NYM 70 81 84 21.1% 6.9% 22.1% 10.6% 11.0%
Jeremy Hellickson ARI 7.7 4.11 5.26 0.98 1.09 4.79 4.08 WAS 95 98 172 19.2% 7.5% 22.5% 15.4% 5.8%
Jimmy Nelson MIL 0.7 3.71 5.74 1.48 1.07 3.56 2.74 CHW 80 97 115 20.5% 6.7% 20.5% 11.1% 11.1%
John Lackey STL 16.9 3.63 6.52 1.33 0.94 3.89 3.48 CLE 113 101 124 18.6% 7.7% 21.1% 9.8% 13.1%
Jordan Lyles COL 0.4 4.39 5.73 1.8 0.91 4.08 5.24 ANA 94 77 87 17.1% 7.9% 23.0% 10.7% 8.6%
Jose Quintana CHW -11.3 3.67 6.17 1.23 1.07 3.85 3.05 MIL 83 62 115 22.5% 7.5% 19.4% 10.7% 8.1%
Kyle Lobstein DET 9.1 4.52 6.02 1.65 1.05 4.51 3.81 MIN 68 102 113 16.4% 7.3% 20.2% 5.3% 10.2%
Matt Harvey NYM 2.4 2.78 6.73 1.47 1.05 3.41 4.4 CHC 89 93 105 24.2% 6.8% 19.5% 10.2% 11.0%
Miguel Gonzalez BAL 11.3 4.31 6.06 0.93 1.04 4.37 4.32 TOR 101 105 134 19.5% 7.7% 20.9% 11.7% 12.1%
Nate Karns TAM 8 4.03 5.34 1.19 0.94 4.65 2.94 NYY 112 105 120 21.8% 9.4% 17.8% 16.7% 5.4%
Raisel Iglesias CIN 4.7 4.29 5. 1.5 1.02 3.86 ATL 89 98 100
Ricky Nolasco MIN 8 3.87 5.85 1.24 1.05 4.22 4.89 DET 102 104 96 16.7% 7.7% 24.8% 6.7% 8.2%
Sonny Gray OAK -17.7 3.48 6.56 1.98 0.93 3.54 3.43 BOS 85 93 58 20.0% 9.3% 19.0% 7.6% 12.4%
Taijuan Walker SEA -12.3 4.11 5.08 1.34 0.85 4.57 3.95 SDG 93 98 111 20.6% 9.9% 19.5% 13.2% 5.4%
Tim Hudson SFO -8 3.72 6.28 2.16 1.01 3.91 4.01 HOU 76 98 33 19.5% 6.4% 20.9% 15.1% 8.4%
Wade Miley BOS -9.8 3.84 5.99 1.85 0.93 3.74 3.1 OAK 113 52 89 18.9% 7.1% 21.0% 10.1% 7.5%
Yordano Ventura KAN 22.2 3.97 5.9 1.56 1.08 4.03 5.91 TEX 88 74 112 19.0% 10.2% 20.5% 9.8% 6.9%
Yovani Gallardo TEX 3.1 3.85 5.89 1.75 1.08 3.75 5.94 KAN 118 111 111 15.3% 7.4% 22.4% 11.6% 7.0%

Aaron Sanchez – You get a walk and you get a walk and you get a walk. We’re going to do something a little different today. We can talk about how Aaron Sanchez could and might be much worse this year, but we’re just going to stop right here and say the one time in his last three starts he’s allowed more than two runs is when he walked two and struck out seven. In his other three, he’s allowed just five runs in 11 innings with 18 BBs and 12 Ks. That’s just absurd and you don’t want any part of him when he those runs start crossing the plate. You can see all the warning signs in the charts below for yourself.

Brett Oberholtzer makes his 2015 debut. He wasn’t terrible last year, but wasn’t good either and doesn’t miss enough bats to be very fantasy relevant.

Carlos Frias has pitched well in his two starts, allowing just three runs in 10.1 IP with nine Ks. The Marlins have not hit RHP well.

Cole Hamels is impossible to predict. He’s allowed at least four ERs in three of his starts, but a total of three ERs in his other four. His most recent start was his best from a control standpoint with just two BBS to eight Ks. After allowing seven HRs in his first three starts, he’s allowed just one total over his last four and has an elite -2.5 Hard-Soft% for the season. In fact, he leads the majors in soft contact rate at 30.2%. The Pirates have been bad on the road and vs LHP with a 29.1 K%, but 17.6 HR/FB against southpaws.

Francisco Liriano may look like he’s coming off an awful start with two HRs and five ERs allowed to the Cardinals, but he struck out 10 with just 1 BB and only allowed seven to reach base. The Phillies have actually been league average vs LHP, but are still the worst home offense in baseball and impact the baseball with a league worst 2.1 Hard-Soft% overall.

James Shields has simplified the game. He wants to make sure that defense never has to touch the ball. You either get a HR or a strikeout. That’s it. No other options. Seattle has the 4th best home offense in baseball now and hit the ball harder (18.2 H-S%) than any team in baseball. They have a 17.8 HR/FB over the last week.

Jarred Cosart struggled last time out and only had two strikeouts, but 10 of his 15 batted balls were on the ground. His -1.8 H-S% is elite as far as contact authority goes. He won’t dazzle you, but he might be the sort of pitcher who frustrates the Dodgers with a 58.7 GB%. You’re not going to use him, but you may want to be cautious when entertaining the idea of a Dodger stack, though they continue to maul RH pitching at home at obscene rates.

Jason Hammel has been pitching well. The Mets have not been hitting well and are the 3rd worst road offense in baseball.

Jimmy Nelson allowed three HRs in his last start, but struck out 11 Cubs. He hasn’t been able to sustain the high ground ball rate from his first few starts, but has kept missing bats, the caveat being he’s faced some high strikeout teams. The White Sox have struck out just 13.2% over the last week.

Jordan Lyles has pitched poorly in any ballpark and is not worth your consideration as his 2.6 K-BB% exhibits. The Angels have the 3rd worst offense vs RHP.

Jose Quintana has allowed just a total of five ERs over his last three starts after a rough start to the season and is coming off a season high eight strikeouts. Milwaukee has the 3rd worst offense vs LHP, probably because a lot of their top RHBs have been injured at one time or another. They have a 20.2 K-BB% against them and just a 15.0 LD%, but 14.1 HR/FB.

Kyle Lobstein has pitched at least seven innings in each of his last three starts and only allowed a single run in his most recent, but has just 15 strikeouts in 33 innings on the year, good for a 2.9 K-BB%. He has a strong ground ball rate, but there’s just not much upside here. His ERA is being held down by the fact that none of his 25 fly balls have left the yard yet. Minnesota has just a 2nd worst road offense in baseball with a 4.2 HR/FB.

Matt Harvey is coming off two substandard starts by his standards since Terry Collins let him go out there in the 9th and throw over 100 pitches facing the Yankees. In the two starts since, he’s been held well short of that. It’s probably safe to say he has a leash and the manager’s job depends on him staying on it. That’s not to say he can’t be very effective and even dominant in 90 or so pitches, but he blames his last outing on an extra day of rest throwing off his routine. Sounds like an excuse, but who knows. The announcers mentioned him being extra motivated with Noah Syndergaard making his debut last night, but I think he’s always motivated to be great. It’s the fact that he’s facing a high strike out team in the Cubs that excites me. The Cubs 25.6 K% vs RHP exactly matches Harvey’s rate over the last two years. They’ve also struck out 28.9% over the last week and 25.9% at home.

Miguel Gonzalez is our last hope. No major league starting pitcher with 500 career innings or more has a LOB rate above 80%. He now stands at 80.1% through 471 career innings. Stranding just 35.7% of his runners like he did in his last start isn’t going to help and brought his season rate down below 80%. The Blue Jays have been hot with a 15.9 HR/FB over the last week.

Nate Karns is coming off his best start of the season. He’s allowed three ERs in 9.2 IP against the Yankees this year with many looking strikeouts. He’s allowed six HRs and the Yankees have a 13.7 HR/FB vs RHP and 15.8 HR/FB over the last week.

Raisel Iglesias is a less heralded Cuban acquisition that the Reds are looking to convert from a reliever to a starter. He throws hard with a good slider and a changeup that he throws infrequently. Fangraphs ranks him as the team’s 4th best prospect. His first start was mediocre at best against St Louis. Atlanta is a fairly neutral matchup. They don’t hit for power, but rarely strike out.

Ricky Nolasco has a surprisingly high 29.2 Soft% through three starts, though it hasn’t helped either his BABIP or bottom line. He struck out just one more (seven) than he’s walked (six). The Tigers have just a 6.1 HR/FB at home and 3.8 HR/FB over the last week.

Taijuan Walker had one of his better starts last time out, allowing three runs over five innings with six Ks. Missing bats has not been the problem, it’s the walks and the ones that do make contact hitting the ball hard 37.6% of the time. He’s going to need to find that control and command on a consistent basis before you can trust him.

Tim Hudson has allowed at least three ERs in each of his last five starts, but may have the top matchup of the day against the ice cold Astros, who now have the 2nd worst home offense in baseball where they’ve struck out 26.6% of the time, but with a 16.5 HR/FB. They’ve struck out 24.8% vs RHP and 27.6 over the last week.

Yordano Ventura has been awful and has the day’s worst 26.0 H-S% with a major league low 9.0 Soft%. Four of his 27 fly balls have left the yard. The Rangers are the 2nd worst offense vs RHP, but take their walks.

Yovani Gallardo has allowed exactly three ERs in each of his last four starts, but has an unearned run credited in three of them and hasn’t completed seven innings in a start this year. Kansas City offers even less fantasy upside for him.

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 Sanchez Blue Jays 19.4% 12.9% Road 17.3% 11.0% L14 Days 14.6% 20.0%
Adam Warren Yankees 19.9% 8.4% Road 18.4% 9.7% L14 Days 8.9% 11.1%
Brett Oberholtzer Astros 15.3% 4.5% Home 13.5% 3.5% L14 Days
Carlos Frias Dodgers 21.2% 5.3% Home 19.4% 4.6% L14 Days 21.4% 4.8%
Cole Hamels Phillies 23.7% 6.3% Home 23.3% 7.3% L14 Days 24.1% 8.6%
Corey Kluber Indians 26.0% 5.4% Home 26.7% 4.8% L14 Days 19.2% 7.7%
Eric Stults Braves 14.7% 5.3% Road 15.9% 4.6% L14 Days 16.1% 1.8%
Francisco Liriano Pirates 25.3% 10.6% Road 29.2% 13.0% L14 Days 25.5% 7.3%
Gio Gonzalez Nationals 24.0% 8.6% Road 24.7% 8.7% L14 Days 31.5% 5.6%
Hector Santiago Angels 20.1% 10.9% Home 20.6% 11.1% L14 Days 18.0% 12.0%
James Shields Padres 20.5% 6.0% Road 21.6% 6.0% L14 Days 26.9% 5.8%
Jarred Cosart Marlins 14.6% 10.3% Road 16.3% 10.1% L14 Days 18.2% 9.1%
Jason Hammel Cubs 20.2% 6.2% Home 21.5% 5.0% L14 Days 24.0% 8.0%
Jeremy Hellickson Diamondbacks 18.0% 6.7% Home 16.4% 8.7% L14 Days 19.2% 6.4%
Jimmy Nelson Brewers 20.5% 7.4% Home 21.5% 6.0% L14 Days 30.4% 5.4%
John Lackey Cardinals 19.6% 5.3% Road 15.9% 6.5% L14 Days 24.1% 6.9%
Jordan Lyles Rockies 14.8% 8.4% Road 16.8% 9.9% L14 Days 12.5% 10.7%
Jose Quintana White Sox 20.7% 6.5% Road 18.2% 6.8% L14 Days 26.5% 8.2%
Kyle Lobstein Tigers 14.0% 8.3% Home 12.7% 7.8% L14 Days 8.2% 4.9%
Matt Harvey Mets 25.6% 3.6% Road 25.0% 5.0% L14 Days 14.0% 4.0%
Miguel Gonzalez Orioles 17.3% 7.6% Home 17.2% 7.2% L14 Days 17.4% 6.5%
Nate Karns Rays 22.6% 10.6% Home 22.4% 12.8% L14 Days 28.9% 6.7%
Raisel Iglesias Reds 19.1% 9.5% Home 19.1% 9.5% L14 Days
Ricky Nolasco Twins 18.2% 5.7% Road 16.2% 7.3% L14 Days 11.6% 4.7%
Sonny Gray Athletics 21.8% 8.1% Home 20.5% 7.4% L14 Days 29.8% 11.9%
Taijuan Walker Mariners 20.5% 10.1% Home 25.0% 15.0% L14 Days 19.5% 7.3%
Tim Hudson Giants 15.3% 5.1% Road 12.5% 4.6% L14 Days 10.2% 3.4%
Wade Miley Red Sox 19.1% 8.2% Road 20.3% 10.3% L14 Days 20.8% 1.9%
Yordano Ventura Royals 19.7% 8.9% Road 19.2% 10.3% L14 Days 9.4% 13.2%
Yovani Gallardo Rangers 18.6% 7.6% Home 18.9% 8.5% L14 Days 7.6% 11.3%

Combo K/BB Charts – Opponent

Opponent Split K% BB% Split K% BB% Split K% BB%
Orioles Home 21.3% 6.4% RH 24.2% 7.1% L7Days 25.1% 5.5%
Rays Home 23.3% 8.6% RH 21.1% 9.0% L7Days 19.9% 9.2%
Giants Road 19.4% 8.3% LH 19.9% 7.6% L7Days 15.8% 7.5%
Marlins Road 22.9% 7.6% RH 21.6% 7.0% L7Days 23.7% 7.3%
Pirates Road 23.6% 6.1% LH 29.1% 7.3% L7Days 14.3% 7.7%
Cardinals Road 19.4% 7.7% RH 16.6% 7.4% L7Days 19.3% 6.0%
Reds Home 23.9% 9.8% LH 21.5% 9.6% L7Days 20.8% 10.9%
Phillies Home 18.5% 6.4% LH 16.4% 7.6% L7Days 20.4% 5.9%
Diamondbacks Home 19.0% 8.2% LH 18.0% 10.2% L7Days 19.6% 7.8%
Rockies Road 21.9% 4.8% LH 23.0% 7.0% L7Days 19.4% 5.5%
Mariners Home 19.3% 7.7% RH 20.7% 7.4% L7Days 20.7% 9.1%
Dodgers Home 21.0% 9.8% RH 20.1% 10.7% L7Days 19.4% 12.9%
Mets Road 20.6% 6.9% RH 19.0% 8.0% L7Days 21.3% 7.4%
Nationals Road 20.1% 8.2% RH 21.2% 8.2% L7Days 20.1% 6.6%
White Sox Road 18.9% 6.1% RH 18.7% 7.3% L7Days 13.2% 8.1%
Indians Home 17.4% 10.1% RH 17.4% 8.0% L7Days 17.2% 9.6%
Angels Home 19.3% 7.4% RH 20.2% 6.7% L7Days 18.8% 4.5%
Brewers Home 23.1% 7.7% LH 24.6% 4.4% L7Days 21.6% 11.2%
Twins Road 22.8% 7.6% LH 17.7% 7.2% L7Days 22.7% 7.9%
Cubs Home 25.9% 10.0% RH 25.6% 8.9% L7Days 28.9% 9.0%
Blue Jays Road 23.3% 7.8% RH 21.0% 8.8% L7Days 20.6% 8.3%
Yankees Road 18.2% 9.3% RH 19.3% 8.7% L7Days 19.2% 8.5%
Braves Road 16.4% 9.0% RH 15.3% 8.9% L7Days 15.2% 7.0%
Tigers Home 18.0% 9.2% RH 18.8% 8.6% L7Days 17.6% 10.5%
Red Sox Road 16.6% 9.9% RH 15.9% 9.1% L7Days 15.6% 9.4%
Padres Road 20.5% 7.8% RH 19.9% 7.0% L7Days 18.2% 12.0%
Astros Home 26.6% 9.2% RH 24.8% 8.4% L7Days 27.6% 7.9%
Athletics Home 14.7% 8.0% LH 18.1% 7.9% L7Days 20.5% 6.1%
Rangers Home 20.4% 9.5% RH 21.1% 8.9% L7Days 24.2% 10.3%
Royals Road 15.9% 5.1% RH 16.5% 5.8% L7Days 14.2% 5.8%

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 Sanchez Blue Jays 16.7% 13.9% 5.6% Road 20.5% 25.0% 0.0% L14 Days 8.6% 0.0% 0.0%
Adam Warren Yankees 22.7% 9.2% 11.0% Road 22.8% 8.2% 18.4% L14 Days 25.7% 0.0% 33.3%
Brett Oberholtzer Astros 21.0% 5.7% 9.0% Home 19.7% 7.4% 8.3% L14 Days
Carlos Frias Dodgers 15.3% 12.2% 4.9% Home 13.4% 3.8% 3.8% L14 Days 20.0% 16.7% 0.0%
Cole Hamels Phillies 21.2% 9.2% 10.7% Home 23.9% 16.3% 15.2% L14 Days 27.0% 5.9% 17.6%
Corey Kluber Indians 23.3% 9.3% 10.0% Home 19.9% 10.5% 8.8% L14 Days 17.6% 16.7% 25.0%
Eric Stults Braves 21.4% 10.0% 8.0% Road 18.3% 14.6% 6.6% L14 Days 19.6% 21.1% 0.0%
Francisco Liriano Pirates 21.7% 10.5% 6.5% Road 18.9% 10.4% 9.0% L14 Days 24.3% 18.2% 18.2%
Gio Gonzalez Nationals 21.3% 7.3% 8.9% Road 17.4% 10.1% 4.0% L14 Days 24.2% 0.0% 0.0%
Hector Santiago Angels 19.7% 8.7% 14.5% Home 17.1% 7.9% 12.7% L14 Days 17.6% 9.1% 9.1%
James Shields Padres 22.0% 10.9% 10.5% Road 17.5% 14.3% 16.9% L14 Days 12.5% 46.7% 13.3%
Jarred Cosart Marlins 19.5% 6.9% 7.3% Road 17.4% 9.1% 9.1% L14 Days 23.3% 25.0% 0.0%
Jason Hammel Cubs 22.6% 12.6% 8.9% Home 20.9% 11.1% 7.4% L14 Days 20.6% 15.4% 7.7%
Jeremy Hellickson Diamondbacks 21.4% 9.9% 8.2% Home 21.7% 10.3% 2.9% L14 Days 23.5% 21.4% 0.0%
Jimmy Nelson Brewers 19.2% 9.1% 9.1% Home 18.9% 11.3% 6.5% L14 Days 11.4% 16.7% 5.6%
John Lackey Cardinals 20.5% 11.8% 12.9% Road 19.6% 17.3% 11.8% L14 Days 21.6% 0.0% 28.6%
Jordan Lyles Rockies 21.8% 11.2% 7.1% Road 26.5% 11.1% 11.1% L14 Days 25.0% 16.7% 8.3%
Jose Quintana White Sox 21.8% 7.9% 11.7% Road 22.8% 8.0% 8.0% L14 Days 16.1% 0.0% 12.5%
Kyle Lobstein Tigers 18.3% 4.2% 9.9% Home 19.2% 4.3% 14.9% L14 Days 19.6% 0.0% 0.0%
Matt Harvey Mets 20.7% 6.2% 11.0% Road 13.0% 8.3% 0.0% L14 Days 15.4% 6.3% 18.8%
Miguel Gonzalez Orioles 22.1% 11.5% 12.0% Home 19.5% 11.7% 13.3% L14 Days 23.5% 7.1% 7.1%
Nate Karns Rays 16.9% 20.9% 9.0% Home 10.4% 29.0% 0.0% L14 Days 13.8% 8.3% 0.0%
Raisel Iglesias Reds 23.1% 0.0% 25.0% Home 23.1% 0.0% 25.0% L14 Days
Ricky Nolasco Twins 23.8% 9.4% 7.7% Road 24.3% 13.7% 2.1% L14 Days 31.4% 0.0% 15.4%
Sonny Gray Athletics 18.2% 7.9% 7.1% Home 19.7% 9.2% 7.5% L14 Days 14.9% 0.0% 12.5%
Taijuan Walker Mariners 24.1% 9.1% 9.1% Home 18.2% 5.9% 5.9% L14 Days 17.2% 40.0% 0.0%
Tim Hudson Giants 20.5% 9.9% 5.9% Road 21.2% 10.0% 8.0% L14 Days 26.0% 30.0% 0.0%
Wade Miley Red Sox 21.0% 13.8% 4.0% Road 22.2% 7.5% 2.2% L14 Days 25.0% 18.2% 9.1%
Yordano Ventura Royals 21.0% 9.9% 7.1% Road 23.1% 10.0% 7.0% L14 Days 26.8% 9.1% 0.0%
Yovani Gallardo Rangers 20.3% 12.3% 5.2% Home 20.8% 16.0% 2.0% L14 Days 18.6% 14.3% 7.1%

Combo Batted Ball Charts – Opponent

Opponent Split LD% HR/FB% IFFB% Split LD% HR/FB% IFFB% Split LD% HR/FB% IFFB%
Orioles Home 24.2% 15.8% 7.2% RH 22.7% 18.3% 6.3% L7Days 21.4% 18.0% 8.0%
Rays Home 21.4% 13.5% 14.2% RH 20.5% 8.6% 12.4% L7Days 22.1% 17.2% 12.1%
Giants Road 24.5% 9.3% 6.5% LH 23.1% 8.1% 3.2% L7Days 19.3% 2.0% 10.0%
Marlins Road 24.8% 11.7% 7.8% RH 22.7% 8.8% 9.3% L7Days 25.0% 14.0% 9.3%
Pirates Road 22.5% 9.0% 10.4% LH 22.8% 17.6% 8.8% L7Days 26.4% 11.4% 11.4%
Cardinals Road 21.5% 13.1% 9.8% RH 21.3% 9.4% 6.4% L7Days 21.1% 12.8% 4.3%
Reds Home 20.8% 16.2% 11.7% LH 23.1% 12.3% 4.9% L7Days 22.2% 7.7% 11.5%
Phillies Home 21.1% 7.0% 7.0% LH 23.7% 5.6% 5.6% L7Days 23.9% 6.8% 5.1%
Diamondbacks Home 21.5% 12.3% 9.9% LH 16.8% 9.8% 16.4% L7Days 25.2% 20.8% 9.7%
Rockies Road 21.4% 12.2% 8.6% LH 22.0% 4.1% 6.1% L7Days 21.2% 7.1% 7.1%
Mariners Home 21.1% 12.1% 7.0% RH 19.6% 11.3% 6.9% L7Days 21.1% 17.8% 6.7%
Dodgers Home 24.0% 18.2% 11.0% RH 21.8% 19.4% 10.3% L7Days 24.0% 18.4% 6.1%
Mets Road 23.3% 8.1% 13.7% RH 22.6% 6.3% 13.0% L7Days 22.5% 10.0% 15.0%
Nationals Road 20.9% 10.0% 7.3% RH 20.7% 13.4% 10.5% L7Days 26.5% 27.5% 5.9%
White Sox Road 22.2% 6.5% 17.8% RH 24.5% 9.7% 14.2% L7Days 26.9% 13.1% 13.1%
Indians Home 23.6% 8.2% 6.7% RH 20.6% 12.6% 9.2% L7Days 20.5% 9.1% 9.1%
Angels Home 22.7% 9.7% 11.0% RH 20.7% 8.2% 9.1% L7Days 21.1% 7.5% 5.0%
Brewers Home 19.4% 12.3% 7.2% LH 15.0% 14.1% 3.1% L7Days 21.1% 21.9% 6.3%
Twins Road 20.6% 4.2% 16.2% LH 22.3% 7.3% 11.9% L7Days 21.2% 11.9% 8.5%
Cubs Home 23.4% 10.7% 14.0% RH 21.0% 12.6% 13.0% L7Days 23.3% 17.2% 9.4%
Blue Jays Road 17.8% 11.3% 13.1% RH 17.5% 12.4% 13.3% L7Days 25.2% 15.9% 13.6%
Yankees Road 20.9% 12.3% 8.4% RH 21.5% 13.7% 7.7% L7Days 23.2% 15.8% 7.0%
Braves Road 23.3% 6.3% 7.6% RH 23.1% 8.8% 7.1% L7Days 25.7% 3.8% 7.5%
Tigers Home 23.4% 6.1% 8.0% RH 22.2% 7.3% 6.8% L7Days 23.9% 3.8% 9.4%
Red Sox Road 18.3% 10.5% 15.2% RH 19.7% 10.4% 14.1% L7Days 22.9% 7.3% 18.2%
Padres Road 19.2% 8.2% 5.9% RH 18.2% 11.1% 6.6% L7Days 20.0% 4.8% 4.8%
Astros Home 16.0% 16.5% 10.8% RH 22.1% 14.5% 12.7% L7Days 19.4% 9.4% 13.2%
Athletics Home 21.4% 6.3% 9.5% LH 18.3% 3.2% 9.5% L7Days 18.0% 11.8% 10.5%
Rangers Home 20.1% 9.2% 11.5% RH 16.0% 6.7% 9.1% L7Days 16.2% 13.7% 6.8%
Royals Road 26.2% 8.7% 9.9% RH 23.5% 8.7% 9.7% L7Days 25.1% 9.6% 8.2%

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%
Aaron Sanchez TOR 16.9% 5.9% 2.86 18.6% 6.3% 2.95
Adam Warren NYY 12.0% 7.5% 1.60 13.5% 6.7% 2.01
Brett Oberholtzer HOU
Carlos Frias LOS 21.2% 9.8% 2.16 21.2% 9.8% 2.16
Cole Hamels PHI 24.7% 11.8% 2.09 25.4% 11.5% 2.21
Corey Kluber CLE 23.8% 12.7% 1.87 20.4% 11.3% 1.81
Eric Stults ATL 15.1% 5.9% 2.56 15.2% 6.2% 2.45
Francisco Liriano PIT 29.1% 13.5% 2.16 29.6% 13.0% 2.28
Gio Gonzalez WAS 24.4% 8.6% 2.84 26.1% 9.6% 2.72
Hector Santiago ANA 20.4% 8.0% 2.55 21.1% 8.0% 2.64
James Shields SDG 30.4% 14.2% 2.14 31.5% 14.6% 2.16
Jarred Cosart FLA 14.4% 7.2% 2.00 16.4% 7.0% 2.34
Jason Hammel CHC 22.9% 7.9% 2.90 22.7% 7.5% 3.03
Jeremy Hellickson ARI 16.6% 9.4% 1.77 18.3% 9.1% 2.01
Jimmy Nelson MIL 24.8% 12.3% 2.02 22.0% 11.6% 1.90
John Lackey STL 17.0% 10.9% 1.56 19.0% 11.1% 1.71
Jordan Lyles COL 13.5% 8.7% 1.55 14.3% 9.1% 1.57
Jose Quintana CHW 19.9% 8.4% 2.37 21.0% 8.7% 2.41
Kyle Lobstein DET 11.0% 6.7% 1.64 11.0% 6.7% 1.64
Matt Harvey NYM 24.2% 11.5% 2.10 21.6% 10.8% 2.00
Miguel Gonzalez BAL 19.9% 8.8% 2.26 19.5% 8.8% 2.22
Nate Karns TAM 23.0% 7.6% 3.03 24.3% 7.8% 3.12
Raisel Iglesias CIN 19.1% 10.5% 1.82 19.1% 10.5% 1.82
Ricky Nolasco MIN 11.3% 6.5% 1.74 11.6% 7.7% 1.51
Sonny Gray OAK 22.9% 9.6% 2.39 27.0% 11.1% 2.43
Taijuan Walker SEA 19.9% 9.1% 2.19 20.9% 9.6% 2.18
Tim Hudson SFO 11.5% 8.7% 1.32 12.9% 8.7% 1.48
Wade Miley BOS 16.5% 7.4% 2.23 14.3% 7.8% 1.83
Yordano Ventura KAN 17.1% 8.9% 1.92 18.5% 8.5% 2.18
Yovani Gallardo TEX 17.8% 6.9% 2.58 14.6% 5.1% 2.86

Jason Hammel had a season high eight Ks in his last start, but also a season best 11.1 SwStr%. That’s more in line with what he’ll have to do to keep his current K%, which sits just above last year’s mark with a much lower SwStr%. For his career, his SwStr is pretty close to this year’s mark, so maybe it was last year that was the aberration, but his career K rate is just 17.5%.

Jordan Lyles has shown some of the strongest SwStr rates of his career, yet his K% is exactly two points below his career average. I’d expect his K% to rise by at least four or five points if he keeps this up, but that’s questionable too. It’s still probably not enough to make him useful with a 10.9 BB%.

Nate Karns has had a double digit SwStr% in each of his last two starts after not reaching 8% in any of his first four starts. If he maintains his latest step forward, he may be able to sustain an above average K%. His two lowest SwStr% games have been against the Yankees (5.7% and 4.6%).

Ricky Nolasco – After just three starts and fewer than 20 innings this can change in a hurry, but he has a very average 9.3 career SwStr% with the expected 18.9 K%.

Tim Hudson has had a SwStr over 8% in four of his six starts, but only above 9% once. This is actually right around where his SwStr% usually sits though, despite just a 16.1 K%. He has a career 1.81 K/SwStr and I think we can safely say this is who he is, but there’s still some upside from his current 1.48 K/SwStr.

Yovani Gallardo has just five SwStrs over his last 210 pitches, including not a single on in over 100 pitches two starts back.

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
Aaron Sanchez TOR 3.62 5.43 1.81 4.93 1.31 5.68 2.06 3.1 5.4 2.3 4.81 1.71 4.94 1.84
Adam Warren NYY 4.65 5.07 0.42 4.81 0.16 4.31 -0.34 5.26 4.98 -0.28 4.73 -0.53 4.39 -0.87
Brett Oberholtzer HOU
Carlos Frias LOS 2.13 2.96 0.83 3 0.87 3.15 1.02 2.13 2.97 0.84 3 0.87 3.15 1.02
Cole Hamels PHI 3.68 3.93 0.25 3.95 0.27 4.92 1.24 3.66 3.93 0.27 4.03 0.37 3.77 0.11
Corey Kluber CLE 5.04 3.2 -1.84 3.15 -1.89 3.19 -1.85 6.1 3.52 -2.58 3.55 -2.55 3.6 -2.5
Eric Stults ATL 4.84 4.37 -0.47 4.27 -0.57 5.07 0.23 4.75 4.37 -0.38 4.27 -0.48 4.63 -0.12
Francisco Liriano PIT 2.79 3.31 0.52 3.16 0.37 3.53 0.74 2.84 3.24 0.4 3.1 0.26 3.37 0.53
Gio Gonzalez WAS 3.62 3.25 -0.37 3.09 -0.53 2.69 -0.93 3.48 2.95 -0.53 2.71 -0.77 2.37 -1.11
Hector Santiago ANA 2.57 4.63 2.06 4.88 2.31 4.57 2 2.12 4.72 2.6 4.88 2.76 4.46 2.34
James Shields SDG 4.25 2.78 -1.47 3.06 -1.19 4.99 0.74 5.22 2.72 -2.5 2.91 -2.31 5.43 0.21
Jarred Cosart FLA 3.67 4.17 0.5 4.04 0.37 4.17 0.5 4.13 3.81 -0.32 3.69 -0.44 4.13 0
Jason Hammel CHC 3.52 3.23 -0.29 3.28 -0.24 3.49 -0.03 3.34 3.31 -0.03 3.37 0.03 3.52 0.18
Jeremy Hellickson ARI 5.85 4.37 -1.48 4.25 -1.6 4.23 -1.62 5.79 4.2 -1.59 4.21 -1.58 4.32 -1.47
Jimmy Nelson MIL 4.25 3.51 -0.74 3.64 -0.61 3.81 -0.44 5.28 3.86 -1.42 3.93 -1.35 4.28 -1
John Lackey STL 3.2 4 0.8 3.83 0.63 3.15 -0.05 2.7 3.58 0.88 3.41 0.71 2.25 -0.45
Jordan Lyles COL 4.42 5.01 0.59 4.65 0.23 4.18 -0.24 4.7 5.12 0.42 4.65 -0.05 4.32 -0.38
Jose Quintana CHW 5.03 3.85 -1.18 3.97 -1.06 3.65 -1.38 4.34 3.77 -0.57 3.79 -0.55 3.25 -1.09
Kyle Lobstein DET 3 4.56 1.56 4.29 1.29 3.24 0.24 3 4.56 1.56 4.29 1.29 3.24 0.24
Matt Harvey NYM 2.72 3.08 0.36 3.2 0.48 3.07 0.35 3.21 3.37 0.16 3.44 0.23 3.5 0.29
Miguel Gonzalez BAL 3.57 4.25 0.68 4.12 0.55 4.25 0.68 3.94 4.08 0.14 4.04 0.1 4.29 0.35
Nate Karns TAM 3.79 4.12 0.33 4.2 0.41 4.76 0.97 2.86 3.9 1.04 3.97 1.11 4.44 1.58
Raisel Iglesias CIN 5.4 4.29 -1.11 3.86 -1.54 2.75 -2.65 5.4 4.29 -1.11 3.86 -1.54 2.75 -2.65
Ricky Nolasco MIN 9 5.53 -3.47 5.72 -3.28 3.68 -5.32 6.3 4.89 -1.41 4.85 -1.45 3.05 -3.25
Sonny Gray OAK 1.65 3.64 1.99 3.72 2.07 2.66 1.01 2.14 3.37 1.23 3.35 1.21 2.2 0.06
Taijuan Walker SEA 8.13 4.36 -3.77 4.59 -3.54 5.28 -2.85 5.92 4.27 -1.65 4.5 -1.42 5.04 -0.88
Tim Hudson SFO 4.5 4.14 -0.36 3.99 -0.51 4.97 0.47 5.35 3.7 -1.65 3.56 -1.79 4.93 -0.42
Wade Miley BOS 6.91 4.62 -2.29 4.54 -2.37 4.3 -2.61 7.71 5.02 -2.69 4.93 -2.78 4.82 -2.89
Yordano Ventura KAN 5.13 4.31 -0.82 4.27 -0.86 4.71 -0.42 5.93 4.25 -1.68 4.19 -1.74 4.5 -1.43
Yovani Gallardo TEX 4.19 4.18 -0.01 4.08 -0.11 4.36 0.17 3.72 4.48 0.76 4.3 0.58 4.49 0.77

Hector Santiago has stranded 87% of his runners with help from a .237 BABIP. You don’t want to buy into this. He has generated an amazing nine pop ups in 45 fly balls, but his 34.7 Hard% is among the league’s worst marks.

James Shields – The difference between his FIP and other estimators are completely insane. Eleven of his 44 fly balls have left the yard and his 36.0 Hard% is tied for 8th worst in the majors. However, he’s 2nd in the majors in K% and his 23.8 K-BB% is 6th best and despite all the HR’s, he’s stranded 81.3% of his runners because of all the strikeouts probably.

Jimmy Nelson might see his BABIP rise a bit, but should also improve on his 65.9 LOB%. He has allowed just a 14.3 LD% and has a strong 3.2 H-S%.

Jose Quintana has had some BABIP difficulties that have remained even in his recent good starts. Everything in his batted ball mix looks very similar to last season and his Hard-Soft% is even the same league average rate. There are two things though. First, he had a .318 BABIP last year, so I’m not saying his batted ball rates were good, just similar. Second, look at that team BABIP in the chart below. And now you see the answer.

Ricky Nolasco has a .417 BABIP through 16 innings. His 27.1 LD% matches his Hard%, though he hasn’t allowed a HR yet and has a very high softly hit rate as mentioned above. He’s stranded just 51.9% of his runners.

Taijuan Walker has been hit hard. Five of his 33 fly balls have left the yard with only one pop up. That said, his .386 BABIP and 58.3 LOB% both likely have some regression in them.

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
Aaron Sanchez TOR 0.286 0.239 -0.047 5.0% 93.4%
Adam Warren NYY 0.292 0.297 0.005 16.7% 89.9%
Brett Oberholtzer HOU 0.270
Carlos Frias LOS 0.283 0.297 0.014 12.5% 96.6%
Cole Hamels PHI 0.309 0.245 -0.064 18.2% 87.3%
Corey Kluber CLE 0.346 0.364 0.018 8.3% 86.7%
Eric Stults ATL 0.293 0.282 -0.011 4.4% 92.8%
Francisco Liriano PIT 0.306 0.186 -0.12 11.1% 86.8%
Gio Gonzalez WAS 0.326 0.375 0.049 0.0% 87.6%
Hector Santiago ANA 0.262 0.237 -0.025 20.0% 85.5%
James Shields SDG 0.294 0.300 0.006 18.2% 80.0%
Jarred Cosart FLA 0.290 0.231 -0.059 8.0% 91.9%
Jason Hammel CHC 0.301 0.280 -0.021 2.4% 90.7%
Jeremy Hellickson ARI 0.307 0.369 0.062 2.6% 86.1%
Jimmy Nelson MIL 0.302 0.273 -0.029 9.1% 86.5%
John Lackey STL 0.292 0.280 -0.012 18.4% 88.7%
Jordan Lyles COL 0.334 0.313 -0.021 16.1% 90.1%
Jose Quintana CHW 0.321 0.353 0.032 8.3% 89.7%
Kyle Lobstein DET 0.283 0.288 0.005 12.0% 91.7%
Matt Harvey NYM 0.281 0.269 -0.012 12.2% 85.6%
Miguel Gonzalez BAL 0.270 0.255 -0.015 14.7% 91.0%
Nate Karns TAM 0.261 0.190 -0.071 5.0% 87.1%
Raisel Iglesias CIN 0.267 0.333 0.066 25.0% 87.0%
Ricky Nolasco MIN 0.289 0.417 0.128 10.5% 95.4%
Sonny Gray OAK 0.277 0.254 -0.023 8.5% 86.8%
Taijuan Walker SEA 0.291 0.386 0.095 3.0% 85.2%
Tim Hudson SFO 0.282 0.292 0.01 3.6% 89.3%
Wade Miley BOS 0.309 0.319 0.01 3.0% 87.9%
Yordano Ventura KAN 0.263 0.281 0.018 0.0% 93.9%
Yovani Gallardo TEX 0.290 0.283 -0.007 5.1% 87.2%

Cole Hamels – We’ve already seen most of the aggression that’s been expected from his previously sub .200 BABIP over the last several starts. His eight IFFBs is already more than half of what he had all of last year.

Francisco Liriano has dominant stuff, but I don’t see how you serve up a .186 BABIP with a 23.6 LD%. His line drive rate is actually higher than his hit hard rate (22.2%). Soft line drives?

Jarred Cosart – I’ve recently stated that although Hard% and Soft% correlate more with overall production type stats like wRC+ than BABIP, I think for ground ball pitchers, it can be more meaningful towards their BABIP. Generating a lot of weak ground balls is a great thing and that’s what he’s done. That doesn’t mean .231 though.

Nate Karns – The Tampa Bay defense has been helpful, but we all know sub .200 BABIPs aren’t a real sustainable thing. He does get credit for allowing just a 12.4 LD%, but doesn’t generate many pop ups. This speaks more to his 15.0 HR/FB than his BABIP, but he has the 5th highest hard hit rate (36.8%) in the majors.

Pitcher Notes & Summary

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Carlos Frias is the dumpster diving play of the day. His rock bottom price tag is a reflection of the fact that he’s only started a couple of games and was never expected to be part of the rotation. He won’t go deep into the game, but has pitched respectively both times out and has a decent matchup in a good park with a good defense behind him. He has the potential to return the highest point per fantasy dollar ratio today.

Cole Hamels is coming off a great start and he has the ability to do that more often, but has just been so inconsistent that you struggle with paying up for him unless he’s in a great spot because he’s priced like an ace. The Pirates might strike out against LHP, but also have some power that could be displayed in a smaller park. Hamels has pretty much fixed his early season HR problem, but still has an 11.1 career HR/FB.

Francisco Liriano – The Phillies have only struck out 16.4% vs LHP, but Liriano has enough talent to spike that small sample size number. The Phillies walk infrequently with little power and that’s an ideal matchup for Liriano….or basically anybody.

James Shields – I honestly don’t know what to do here. It’s supposed to be a great spot in Safeco, but this could be a HR for a strikeout all the way through.

Jimmy Nelson – Sure, I’ll take a strong K rate at a low price. He’s really only had one bad game because his three HRs came with 11 Ks last time out. Chicago loses their cleanup hitter again without the DH.

Jose Quintana faces a banged up offense that has been bad vs LHP, though they’ll hit the occasional HR. Did you see the lineup they ran out against Sale last night? His worth a mid-range price, especially on a night like this, with limited upside.

Matt Harvey is coming off a mediocre start against the Phillies and hasn’t been sharp over his last two. The one thing I failed to mention earlier was his 12.8 SwStr% in his last start. His breaking stuff wasn’t crisp though as it didn’t look like he had a feel for it and bounced a lot of them. Maybe he’ll be fired up to stop a losing streak and with the debut of the next coming of Matt Harvey last night. Anyway, the Cubs strike out a ton and who else are you putting all your money into tonight? It’s not the usual ringing endorsement I give him, but it’s going to have to suffice.

Nate Karns is probably the guy I get asked about most often in comment on articles where I don’t recommend him and it’s usually because all of the stuff in the last three charts (SwStr and BABIP along with HR/FB). The Yankees are a team he’s had two of his flukiest starts against, getting several strikeouts without the benefit of swings and misses, but his price is reasonable enough and he is missing more bats lately plus coming off his best start. He’s not my top option tonight and I still don’t trust entirely trust him, but he is an option.

Tim Hudson might have a bit of hidden strikeout upside, though not much, which can be realized against the Astros. He hasn’t been good, but they haven’t hit much worse pitching over the last week plus and he’s cheap.

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.