Advanced Stats - Pitching Charts: Tuesday, April 12th

Today features what I consider the most exciting matchup of the season so far. Jose Fernandez faces Noah Syndergaard for the first time in a matchup that could feature between 25 to 30 strikeouts and is likely to have some heavy daily fantasy ownership numbers on both sides. In fact, I could end today’s article right there. Take those two guys. Don’t even look at anybody else. Not good enough? I’ll expand on it. But no, seriously….those two guys.

New season changes to the article were outlined on Opening Day, which you can find here so we won’t repeat those again. Park factors were supposed to be updated over the weekend, but Seamheads.com still seems to be behind, so we’ll give it a few more days before searching for another avenue.

Don’t forget to check 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 stats 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 used here.

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 2015 season. Opp team offensive stats are wRC+.

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+
Aaron Sanchez TOR 3.83 6.08 2.91 1.05 4.14 1.9 NYY 112 168 148
Charlie Morton PHI 3.86 5.79 2.54 1.01 3.77 5.07 SDG 142 75 97
Clay Buchholz BOS 3.82 6.16 1.4 1.07 3.27 5.38 BAL 154 161 145
Corey Kluber CLE 2.79 6.97 1.39 0.94 2.78 4.48 TAM 102 97 105
Derek Holland TEX 4.18 6.13 1.1 0.85 4.66 4.15 SEA 62 89 119
Gio Gonzalez WAS 3.65 5.75 1.62 1.03 3.4 ATL 74 13 58
Hector Santiago ANA 4.43 5.29 0.58 0.93 5.01 3.44 OAK 68 90 78
Jeff Samardzija SFO 3.64 6.64 1.26 1.4 4.45 4.2 COL 91 135 99
Jhoulys Chacin ATL 4.63 5.8 1.27 1.03 4.32 WAS 113 84 96
Jose Fernandez FLA 2.49 6.06 1.26 0.88 2.44 0.81 NYM 48 46 46
Kendall Graveman OAK 4.28 5.5 1.88 0.93 4.54 2.96 ANA 123 70 82
Kris Medlen KAN 4.28 5.5 1.5 1.01 4.96 HOU 211 129 132
Masahiro Tanaka NYY 3.11 6.56 1.49 1.05 3.15 3.19 TOR 102 92 89
Matt Moore TAM 4.59 5.23 1.05 0.94 4.54 3.63 CLE 87 85 91
Mike Fiers HOU 3.62 5.98 0.83 1.01 3.91 4.93 KAN 115 76 92
Mike Wright BAL 5.28 4.58 0.88 1.07 6.32 BOS 118 114 123
Noah Syndergaard NYM 2.9 6.24 1.4 0.88 2.83 1.88 FLA 120 98 110
Robbie Erlin SDG 4.04 5.32 1.42 1.01 3.66 3.51 PHI 67 24 76
Tyler Chatwood COL 3.66 6.02 2.33 1.4 2.7 SFO 112 102 100
Wade Miley SEA 3.94 6.05 1.69 0.85 3.6 2.64 TEX 102 88 88


Corey Kluber did not pitch well in his first start. Depending on where you look, Fangraphs has his velocity down a mph, while Brooks Baseball does not. Otherwise, a look under the hood doesn’t hold much against him. He generated a double digit SwStr% and only allowed 20% hard contact with an even mix of grounders and flies plus five line drives. I did notice swing rates against him were down. It may have just been that he faced a decent, well-disciplined opponent in the Red Sox. I won’t move off him yet in a decent matchup in a good park.

Gio Gonzalez has not pitched yet this season. Last year he sacrificed missing bats to generate ground balls at a career high rate (53.8% in 2015, 47.7% career). He went into the All Star break with a league average 20.5 K% and 57.8 GB%. That did not work because the Nationals could not turn ground balls into outs. His 3.99 ERA was a half run higher than his estimators. In the 2nd half (particularly September – 29.8 K%) he had a 24.4 K% and 49.1 GB%, which was still above his career rate. He also had a 3.56 ERA that matched his xFIP. If he could keep that up, it would be good. Atlanta is supposed to be a cake walk, but tell Max Scherzer that.

Hector Santiago is usually someone I’m immediately telling you not to even let near any of the other pitchers, but he can miss a few bats at somewhere close to a league average rate. It’s the hard contact and walks that makes him not good. However, the offense he faces has also been very not good and Oakland is a great park for such an extreme fly ball pitcher with a career 11.5 IFFB% to pitch in.

Jose Fernandez struck out 13 of the 23 Tigers he faced. The other 10 batters managed to score five runs despite only two hard hit balls (there were four line drives however). Of the 106 pitches he threw, 17 were swinging strikes. He’s obviously not going to strike out more than half the batters he faces, but yeah, that’ll do just fine. The Mets have come off as possibly the coldest offense in the league. They’ll be better, but right now they’re not. Naturally, expect the Mets to jump on him for five more in the first inning.

Kendall Graveman was a pitcher I was asked about omitting frequently last year, but he never flashed the upside he showed in March of 2015 during the actual season. He struck out just 15.3% of batters with a solid ground ball rate, but 13.9 HR/FB. It’s way too early to say that anything has changed, but the velocity is up around a mile per hour and he missed a few more bats against the White Sox with 16 of 22 batters either striking out or keeping it on the ground and very little hard contact. What’s the difference between him and Sanchez today, who easily has more in his arm? Park and opposition with a slightly lower cost.

Matt Moore will probably be the 95 mph flame thrower he was when he was first called up. Remember when he was right there with Trout and Harper in prospect talk? He is up a mile per hour in his first start to 93 though and that’s great news as he survived the Blue Jays as a LHP, generating 11 swinging strikes. Despite a lot of hard contact (it was the Blue Jays), he kept half of it on the ground. It looks like something to build off and his .332 BABIP from last season should improve. He has a decent matchup at home against Cleveland today. However, this was a very patient offense last year and control has been a major issue for him.

Noah Syndergaard throws as hard on average as the hardest throwing relievers and then adds a 95 mph slider. Don’t believe it? Read “(classname)this(title tooltip)”:http://www.fangraphs.com/blogs/noah-syndergaard-is-aroldis-chapman-now and just watch what he did to Kendrys Morales last week. Statcast has a leaderboard on MLB.com this year and if you look at the pitcher section, his sinker is nearly a mph harder (98.6) than the next hardest pitch on average and the only other sinker on the list is his closer, Familia. The perceived velocity on the pitch was 100.2 mph in his first start. Those are not highs. Those are averages! He generated 16 swings and misses in his first start. Again, he did this against the Royals, which is like 30 swinging strikes against most teams. I will now boldly predict that the only young Mets pitcher to hold up his end through the first week and a half will throw at least one no-hitter this season.

Robbie Erlin has failed to retain his swing and miss stuff from the low minors as he’s moved through the system and eventually to the majors, while the contact has been a bit too hard for comfort as well. He has retained excellent control though. He faced 12 Rockies in relief in Colorado, only allowing one base runner over the weekend. I wouldn’t even mention him if not for the Phillies today, who have struck out in 40.5% of just 37 PAs vs LHP so far.

Wade Miley became interesting in 2014 when he started missing more bats, but his ERA actually rose a run despite his FIP remaining unchanged (3.98 in both 2013 and 2014). Then he didn’t miss bats again and was a disaster in his one year in Boston, although, again with slightly better peripherals. Now, he may become interesting again in one of the best pitcher’s parks in baseball. He allowed five runs to this same Texas team in his first start on the road, but struck out seven of 25 batters with 13 swinging strikes and just three hard hit balls (including one HR). Texas does not platoon their LHBs as they normally just balance their lineup throughout no matter who’s pitching. Miley has held LHBs to a .297 wOBA career.

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 (.295 BABIP – 72.3 LOB% – 10.8 HR/FB)

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

Aaron Sanchez dominated Tampa Bay, striking out eight, generating 10 ground balls, and perhaps most impressively, not walking a single one of the 25 batters he faced, all while averaging over 95 mph on his fastball all the way through. Importantly, “(classname)he kept the ball down(title tooltip)”:http://www.fangraphs.com/blogs/aaron-sanchez-aced-his-test. That’s a fantastic start. I want to see him doing it again because this is a guy with a double digit walk rate at almost every stop of his professional career and now comes home to face the Yankees off the best outing of his career. I can easily see this burning me with a lot of people jumping on board because he is a very talented arm, but I’d rather be burned by missing out than taking another Matz. (Yes, taking a Matz is what I’m going to call your high upside daily fantasy pitcher getting blown out of the water for a few days.) But the good news is his first start did look real.

Charlie Morton

Clay Buchholz did not pitch well in his first start. He struggled to throw strikes and his velocity was down about a mile per hour. That could have been a weather thing in Cleveland, but this a guy with a history of injuries and I want to make sure he’s healthy before backing him at a non-insignificant price. This is a matchup where he may generate some strikeouts, but faces a team with power who could also tattoo him if he’s off again.

Derek Holland stunk last year and was very mediocre in his first start. The good news is he generated 10 swinging strikes. The bad, he had a 50.0 Hard-Soft%. He gets a park upgrade tonight, but a difficult lineup and costs too much for a pitcher who hasn’t been either healthy or good in a couple of years now.

Jeff Samardzija

Jhoulys Chacin pitched just a few major league innings last year and allowed four HRs in 111 batters faced with a 25.0 Hard-Soft% and it really hasn’t been much better since 2010.

Kris Medlen I was really borderline on today, but we have enough goodness and speculators that we don’t need to take this risk. He seemed to pitch well at times last season after returning from TJS, but something was missing. The Astros have struck out a ton so far, but are crushing the baseballs they do make contact with.

Masahiro Tanaka is a little too HR prone in a matchup against the Blue Jays. While we’re never going to be looking much at pitchers in Colorado, we can probably also say the same for opponents of Toronto and Kansas City most days, but for different reasons. He’s a little cheaper on FanDuel, but why choose him over Syndergaard for the same cost on DraftKings? (Unless the game is rained out and even then it’s a toss up.)

Mike Fiers allowed two HRs plus eight line drives with 55% of the contact he allowed being of the hard variety against the Yankees, while generating few swings and misses. Not that he’s really that bad, but I’ve been skeptical of his results in the past and Kansas is a different kind of difficult today.

Mike Wright had his first game rained out. The Orioles are probably hoping that happens quite frequently.

Tyler Chatwood

K/BB Chart

Pitcher and Opponent K% & BB% for titled splits, similar to the Main Chart.

Pitcher Team Split K% BB% Split K% BB% Split K% BB%
Aaron Sanchez Blue Jays L2 Years 18.3% 10.1% Home 15.1% 10.9% L14 Days 32.0% 0.0%
Charlie Morton Phillies L2 Years 17.9% 8.2% Home 18.1% 7.7% L14 Days 16.7% 11.1%
Clay Buchholz Red Sox L2 Years 19.9% 6.8% Home 23.0% 4.7% L14 Days 19.1% 14.3%
Corey Kluber Indians L2 Years 28.0% 5.2% Road 29.3% 3.8% L14 Days 18.5% 7.4%
Derek Holland Rangers L2 Years 17.3% 5.8% Road 15.4% 7.7% L14 Days 23.8% 9.5%
Gio Gonzalez Nationals L2 Years 23.4% 8.9% Home 22.3% 8.7% L14 Days
Hector Santiago Angels L2 Years 20.6% 9.2% Road 19.5% 8.0% L14 Days 29.2% 8.3%
Jeff Samardzija Giants L2 Years 20.4% 5.1% Road 16.6% 5.5% L14 Days 23.1% 11.5%
Jhoulys Chacin Braves L2 Years 16.5% 9.9% Road 18.4% 13.2% L14 Days
Jose Fernandez Marlins L2 Years 32.6% 5.8% Road 32.3% 4.8% L14 Days 56.5% 4.4%
Kendall Graveman Athletics L2 Years 15.7% 7.2% Home 13.6% 6.4% L14 Days 18.2% 4.6%
Kris Medlen Royals L2 Years 16.5% 7.4% Road 14.2% 10.2% L14 Days
Masahiro Tanaka Yankees L2 Years 23.8% 4.3% Road 23.3% 4.6% L14 Days 18.2% 4.6%
Matt Moore Rays L2 Years 17.3% 8.3% Home 18.9% 7.9% L14 Days 26.1% 8.7%
Mike Fiers Astros L2 Years 24.5% 7.7% Home 24.5% 9.0% L14 Days 13.0% 0.0%
Mike Wright Orioles L2 Years 12.8% 8.8% Road 14.8% 11.4% L14 Days
Noah Syndergaard Mets L2 Years 28.0% 5.1% Home 27.1% 3.2% L14 Days 39.1% 4.4%
Robbie Erlin Padres L2 Years 16.1% 5.4% Road 14.8% 1.9% L14 Days 16.7% 0.0%
Tyler Chatwood Rockies L2 Years 17.8% 6.2% Home L14 Days 10.7% 0.0%
Wade Miley Mariners L2 Years 19.6% 8.2% Home 19.2% 4.8% L14 Days 28.0% 0.0%

K/BB Chart – Opponent

Opponent Split K% BB% Split K% BB% Split K% BB%
Yankees Road 18.4% 10.5% RH 16.0% 8.7% L7Days 17.9% 10.3%
Padres Road 18.2% 8.2% RH 24.4% 4.5% L7Days 21.2% 6.1%
Orioles Road 37.5% 10.0% RH 21.7% 8.0% L7Days 21.7% 6.9%
Rays Home 22.7% 4.3% RH 25.9% 7.2% L7Days 25.4% 5.8%
Mariners Home 23.3% 7.5% LH 20.0% 10.0% L7Days 19.0% 9.1%
Braves Road 16.7% 8.3% LH 24.1% 9.3% L7Days 22.6% 12.1%
Athletics Home 23.2% 6.1% LH 25.3% 3.0% L7Days 24.0% 5.0%
Rockies Home 19.0% 11.2% RH 12.7% 8.2% L7Days 16.8% 7.6%
Nationals Home 19.2% 15.8% RH 20.2% 11.8% L7Days 18.6% 13.5%
Mets Home 23.8% 9.1% RH 24.6% 10.8% L7Days 23.8% 9.9%
Angels Road 21.1% 7.9% RH 16.7% 7.2% L7Days 15.0% 9.3%
Astros Home 20.0% 7.5% RH 26.4% 7.2% L7Days 26.1% 7.3%
Blue Jays Home 22.7% 9.1% RH 28.4% 9.5% L7Days 24.9% 8.6%
Indians Road 24.7% 5.5% LH 27.2% 5.4% L7Days 26.7% 8.9%
Royals Road 13.2% 2.6% RH 21.0% 6.8% L7Days 23.2% 7.0%
Red Sox Home 19.5% 9.8% RH 23.4% 8.1% L7Days 22.7% 9.1%
Marlins Road 20.3% 8.9% RH 18.6% 8.1% L7Days 19.6% 8.6%
Phillies Home 27.3% 3.0% LH 40.5% 5.4% L7Days 25.0% 5.2%
Giants Road 9.5% 9.5% RH 12.6% 11.0% L7Days 14.9% 8.6%
Rangers Road 21.9% 6.8% LH 27.8% 5.6% L7Days 24.1% 7.5%

Batted Ball Chart

Pitcher and Opponent Batted Ball stats.

Pitcher Team Split Hard% HR/FB% Hd-St% Split Hard% HR/FB% Hd-St% Split Hard% HR/FB% Hd-St% Split Hard% HR/FB% Hd-St%
Aaron Sanchez Blue Jays L2 Years 20.2% 14.1% 1.6% 2016 21.0% 14.1% 4.0% Home 23.2% 17.2% 5.1% L14 Days 29.4% 25.0% 5.9%
Charlie Morton Phillies L2 Years 28.3% 11.4% 6.9% 2016 31.2% 11.4% 9.7% Home 28.0% 11.9% 4.2% L14 Days 30.8% 25.0% 23.1%
Clay Buchholz Red Sox L2 Years 28.5% 7.5% 11.3% 2016 23.7% 7.5% 4.5% Home 26.0% 5.1% 8.2% L14 Days 35.7% 20.0% 21.4%
Corey Kluber Indians L2 Years 26.5% 9.3% 7.5% 2016 27.0% 9.3% 9.2% Road 28.5% 12.6% 12.3% L14 Days 20.0% 14.3% 0.0%
Derek Holland Rangers L2 Years 33.4% 10.4% 19.2% 2016 34.6% 10.4% 22.5% Road 43.0% 17.9% 31.6% L14 Days 57.1% 16.7% 50.0%
Gio Gonzalez Nationals L2 Years 27.0% 6.6% 7.8% 2016 28.7% 6.6% 9.9% Home 27.7% 7.1% 8.8% L14 Days
Hector Santiago Angels L2 Years 32.0% 9.4% 15.9% 2016 33.6% 9.4% 18.4% Road 35.1% 11.8% 20.2% L14 Days 33.3% 14.3% 20.0%
Jeff Samardzija Giants L2 Years 25.9% 11.0% 6.6% 2016 27.0% 11.0% 8.3% Road 25.9% 9.2% 5.6% L14 Days 23.5% 25.0% 5.8%
Jhoulys Chacin Braves L2 Years 38.4% 12.6% 23.1% 2016 38.8% 12.6% 25.0% Road 61.5% 16.7% 50.0% L14 Days
Jose Fernandez Marlins L2 Years 29.8% 9.0% 11.4% 2016 29.4% 9.0% 11.2% Road 34.2% 8.3% 18.4% L14 Days 22.2% 33.3% 0.0%
Kendall Graveman Athletics L2 Years 27.9% 14.3% 11.2% 2016 28.3% 14.3% 12.8% Home 33.0% 14.7% 16.2% L14 Days 23.5% 33.3% -11.8%
Kris Medlen Royals L2 Years 27.3% 10.0% 6.5% 2016 27.3% 10.0% 6.5% Road 22.3% 3.2% 1.0% L14 Days
Masahiro Tanaka Yankees L2 Years 32.8% 15.7% 14.0% 2016 31.1% 15.7% 11.8% Road 27.5% 13.6% 6.9% L14 Days 29.4% 33.3% 5.9%
Matt Moore Rays L2 Years 32.0% 12.0% 9.6% 2016 31.7% 12.0% 9.7% Home 32.6% 14.3% 8.7% L14 Days 35.7% 25.0% 7.1%
Mike Fiers Astros L2 Years 33.2% 10.9% 13.4% 2016 33.5% 10.9% 13.7% Home 36.6% 15.6% 18.5% L14 Days 55.0% 25.0% 35.0%
Mike Wright Orioles L2 Years 29.7% 13.6% 16.8% 2016 29.7% 13.6% 16.8% Road 34.4% 10.7% 27.8% L14 Days
Noah Syndergaard Mets L2 Years 24.3% 14.0% 4.1% 2016 24.6% 14.0% 4.7% Home 21.6% 13.7% -3.6% L14 Days 15.4% 0.0% -15.4%
Robbie Erlin Padres L2 Years 32.8% 9.6% 17.4% 2016 36.5% 9.6% 17.3% Road 36.4% 9.1% 22.8% L14 Days 30.0% 0.0% 20.0%
Tyler Chatwood Rockies L2 Years 30.5% 19.0% 17.9% 2016 19.0% Home L14 Days 20.8% 0.0% -4.2%
Wade Miley Mariners L2 Years 28.1% 11.5% 11.3% 2016 24.7% 11.5% 6.5% Home 27.5% 9.3% 11.3% L14 Days 16.7% 16.7% -5.5%

Batted Ball Charts – Opponent

Opponent Split Hard% HR/FB% Hd-St% Split Hard% HR/FB% Hd-St% Split Hard% HR/FB% Hd-St%
Yankees Road 28.3% 10.5% 15.1% RH 32.4% 21.6% 19.8% L7Days 30.4% 18.4% 16.6%
Padres Road 43.1% 21.2% 36.6% RH 34.6% 12.9% 21.0% L7Days 34.9% 15.6% 24.1%
Orioles Road 40.0% 25.0% 15.0% RH 38.2% 20.0% 16.2% L7Days 34.7% 23.3% 12.1%
Rays Home 30.7% 17.1% 9.9% RH 28.2% 18.8% 4.6% L7Days 31.5% 18.8% 15.2%
Mariners Home 27.8% 10.0% 10.3% LH 22.1% 21.4% 3.5% L7Days 30.0% 17.5% 13.7%
Braves Road 37.0% 0.0% 22.2% LH 25.7% 0.0% 8.6% L7Days 25.8% 2.5% 10.5%
Athletics Home 27.8% 2.5% 8.0% LH 25.4% 6.3% 7.1% L7Days 28.7% 9.7% 8.3%
Rockies Home 33.3% 26.9% 22.2% RH 41.1% 31.0% 27.4% L7Days 38.9% 29.5% 25.2%
Nationals Home 29.5% 6.1% 14.1% RH 29.8% 8.3% 13.3% L7Days 28.3% 4.4% 14.1%
Mets Home 27.4% 2.4% 2.1% RH 29.6% 4.2% 4.8% L7Days 28.6% 3.6% 4.2%
Angels Road 26.9% 11.1% -7.7% RH 30.8% 3.0% 4.8% L7Days 27.5% 4.7% -0.6%
Astros Home 48.3% 12.5% 38.0% RH 37.7% 24.0% 18.9% L7Days 37.2% 22.8% 17.4%
Blue Jays Home 35.1% 20.0% 24.3% RH 30.8% 13.5% 14.6% L7Days 32.2% 13.2% 14.0%
Indians Road 29.4% 11.1% 0.0% LH 27.4% 10.0% -3.3% L7Days 31.9% 11.8% 7.4%
Royals Road 12.5% 6.7% -9.4% RH 20.5% 4.9% -4.7% L7Days 19.4% 11.1% -6.2%
Red Sox Home 13.8% 7.7% 0.0% RH 28.3% 10.3% 10.5% L7Days 27.9% 11.3% 10.3%
Marlins Road 27.6% 11.1% -1.1% RH 24.8% 4.9% -2.4% L7Days 25.5% 8.9% -2.7%
Phillies Home 17.4% 0.0% 4.4% LH 35.0% 14.3% 10.0% L7Days 28.1% 12.0% 7.5%
Giants Road 45.7% 18.2% 29.7% RH 38.1% 17.3% 20.1% L7Days 32.0% 16.4% 11.3%
Rangers Road 30.6% 7.3% 13.4% LH 27.1% 11.8% 12.5% L7Days 28.7% 6.9% 7.9%

K/SwStr Chart (2015 LG AVG – 19.5 K% – 9.3 SwStr% – 2.1 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 16.1% 7.0% 2.30 32.0% 15.4% 2.08
Charlie Morton PHI 17.1% 7.8% 2.19 16.7% 7.5% 2.23
Clay Buchholz BOS 22.8% 10.6% 2.15 19.1% 8.5% 2.25
Corey Kluber CLE 27.7% 12.9% 2.15 18.5% 11.5% 1.61
Derek Holland TEX 16.7% 6.9% 2.42 23.8% 10.9% 2.18
Gio Gonzalez WAS 22.3% 9.8% 2.28
Hector Santiago ANA 20.9% 8.5% 2.46 29.2% 9.5% 3.07
Jeff Samardzija SFO 17.9% 9.8% 1.83 23.1% 6.1% 3.79
Jhoulys Chacin ATL 18.9% 8.9% 2.12
Jose Fernandez FLA 29.8% 13.3% 2.24 56.5% 16.0% 3.53
Kendall Graveman OAK 15.3% 7.6% 2.01 18.2% 8.3% 2.19
Kris Medlen KAN 16.5% 8.6% 1.92
Masahiro Tanaka NYY 22.8% 11.4% 2.00 18.2% 9.2% 1.98
Matt Moore TAM 16.6% 9.9% 1.68 26.1% 10.8% 2.42
Mike Fiers HOU 23.7% 9.8% 2.42 13.0% 7.3% 1.78
Mike Wright BAL 12.8% 7.3% 1.75
Noah Syndergaard NYM 27.5% 12.2% 2.25 39.1% 17.4% 2.25
Robbie Erlin SDG 15.4% 8.2% 1.88 16.7% 12.2% 1.37
Tyler Chatwood COL 10.7% 9.0% 1.19
Wade Miley SEA 17.7% 8.3% 2.13 28.0% 14.3% 1.96


We’re still using 2015 numbers a bit long until just about every pitcher has made a couple of starts, but also using this year’s stats in the “L30 Days” column. As mentioned, we’re showing just starting pitcher league averages in the header information now, which drops K% and SwStr% just slightly from the overall average that includes relievers.

Matt Moore only threw 63 innings last year, but we can already see the signs of a potentially useful K% even in his 2015 SwStr%, which he built on in his first start.

ERA Estimators Chart (2015 LG AVG – 4.10 ERA – 4.07 SIERA – 4.00 xFIP – 4.03 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 Sanchez TOR 3.22 4.43 1.21 4.27 1.05 4.61 1.39 1.29 1.9 0.61 1.9 0.61 2.78 1.49
Charlie Morton PHI 4.81 3.89 -0.92 3.87 -0.94 4.19 -0.62 14.73 5.07 -9.66 5.06 -9.67 6.76 -7.97
Clay Buchholz BOS 3.26 3.35 0.09 3.3 0.04 2.68 -0.58 11.25 5.38 -5.87 5.59 -5.66 6.71 -4.54
Corey Kluber CLE 3.49 2.98 -0.51 3.05 -0.44 2.97 -0.52 6.75 4.48 -2.27 4.69 -2.06 4.9 -1.85
Derek Holland TEX 4.91 4.43 -0.48 4.45 -0.46 5.3 0.39 5.4 4.15 -1.25 4.45 -0.95 5.01 -0.39
Gio Gonzalez WAS 3.79 3.77 -0.02 3.59 -0.2 3.05 -0.74
Hector Santiago ANA 3.59 4.5 0.91 5 1.41 4.77 1.18 3 3.44 0.44 3.86 0.86 4.05 1.05
Jeff Samardzija SFO 4.96 4.18 -0.78 4.31 -0.65 4.23 -0.73 5.06 4.2 -0.86 3.92 -1.14 5.09 0.03
Jhoulys Chacin ATL 3.38 4.28 0.9 4.12 0.74 4.63 1.25
Jose Fernandez FLA 2.92 2.77 -0.15 2.62 -0.3 2.24 -0.68 7.94 0.81 -7.13 0.05 -7.89 1.45 -6.49
Kendall Graveman OAK 4.05 4.43 0.38 4.3 0.25 4.6 0.55 3.38 2.96 -0.42 3.23 -0.15 4.71 1.33
Kris Medlen KAN 4.01 4.28 0.27 4.31 0.3 4.13 0.12
Masahiro Tanaka NYY 3.51 3.36 -0.15 3.29 -0.22 3.98 0.47 3.18 3.19 0.01 3.23 0.05 4.62 1.44
Matt Moore TAM 5.43 4.67 -0.76 4.81 -0.62 4.82 -0.61 5.4 3.63 -1.77 3.97 -1.43 5.21 -0.19
Mike Fiers HOU 3.69 3.84 0.15 4.04 0.35 4.03 0.34 9 4.93 -4.07 4.73 -4.27 7.21 -1.79
Mike Wright BAL 6.04 5.28 -0.76 5.7 -0.34 6.13 0.09
Noah Syndergaard NYM 3.24 2.95 -0.29 2.91 -0.33 3.25 0.01 0 1.88 1.88 1.56 1.56 0.71 0.71
Robbie Erlin SDG 4.76 3.94 -0.82 3.7 -1.06 3.25 -1.51 0 3.51 3.51 3.51 3.51 2.12 2.12
Tyler Chatwood COL 1.42 2.7 1.28 3.54 2.12 2.74 1.32
Wade Miley SEA 4.46 4.24 -0.22 4.08 -0.38 3.81 -0.65 7.5 2.64 -4.86 2.58 -4.92 3.05 -4.45


Most of these larger discrepancies we either want nothing to do with or are had small sample sizes due to injury or other factors last season.

Hector Santiago – I must warn you again that he is not good. His .252 BABIP, his 79.9 LOB%, both unsustainable. However, he has now beaten his estimators by over a run over 538.2 career innings. That’s beyond Chris Young territory. It will come back on him and even began to last season with a 5.47 ERA after the All Star break.

BABIP Chart (2015 LG AVG – .295 BABIP – 21.1 LD% – 9.5 IFFB% – 87.7 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 LD% Pitcher IFFB% Pitcher Zcontact
Aaron Sanchez TOR 0.316 0.247 -0.069 0.178 6.9% 90.7%
Charlie Morton PHI 0.266 0.309 0.043 0.212 9.2% 91.9%
Clay Buchholz BOS 0.295 0.329 0.034 0.211 7.9% 86.9%
Corey Kluber CLE 0.260 0.297 0.037 0.217 7.8% 85.9%
Derek Holland TEX 0.271 0.281 0.01 0.229 7.9% 92.6%
Gio Gonzalez WAS 0.298 0.341 0.043 0.195 4.4% 86.2%
Hector Santiago ANA 0.301 0.252 -0.049 0.165 11.0% 85.9%
Jeff Samardzija SFO 0.319 0.303 -0.016 0.212 10.1% 87.8%
Jhoulys Chacin ATL 0.325 0.263 -0.062 0.192 3.8% 92.2%
Jose Fernandez FLA 0.328 0.343 0.015 0.287 7.7% 84.1%
Kendall Graveman OAK 0.252 0.302 0.05 0.214 4.6% 92.4%
Kris Medlen KAN 0.333 0.282 -0.051 0.171 10.0% 89.6%
Masahiro Tanaka NYY 0.336 0.242 -0.094 0.192 9.5% 87.1%
Matt Moore TAM 0.296 0.332 0.036 0.221 13.9% 87.5%
Mike Fiers HOU 0.317 0.283 -0.034 0.203 12.7% 84.9%
Mike Wright BAL 0.296 0.295 -0.001 0.195 9.1% 88.8%
Noah Syndergaard NYM 0.327 0.279 -0.048 0.199 10.5% 85.0%
Robbie Erlin SDG 0.330 0.294 -0.036 0.255 14.3% 94.4%
Tyler Chatwood COL 0.395
Wade Miley SEA 0.296 0.307 0.011 0.208 7.0% 90.0%


Don’t pay much attention to this year’s Team BABIP yet. The sample is way too small. Pitcher numbers are still from 2015.

It seems we’ve mentioned most of the important BABIPs already today, although there wasn’t much to say.

Pitcher Notes & Summary

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Here we normally 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.

We’re still just talking a bit more about the pitchers you might be considering today in relation to their price tags in no particular order until we get a bit more information about 2016. We may get into the tier stuff a bit more after this week.

Corey Kluber wasn’t good in his first outing and his price jumped approximately 50%. Maybe it was an Opening Day suck you in type thing. As stated earlier, it’s ridiculous to give up on him as everything under the hood looked to be in order, but it’s tough to load up on him at that price. In fact, he may make for an interesting contrarian play in a few lineups with most of the action going towards the game in New York.

Gio Gonzalez was an interesting arm late in the season. I know they tell you (you know, they) never to believe September numbers, but he’s in what should be a great spot against a team that was terrible vs LHP last year at a reasonable price. It’s more reasonable on DraftKings, though the Win, which he is favored to get, is more important on FanDuel. That might be the last time I use the W word for a few months.

Hector Santiago hasn’t gotten any better since I told you he wasn’t good just a few minutes ago (for you, but about an hour or two for me) above, but still does have the same matchup against the A’s in Oakland at a low price.

Jose Fernandez will likely be the 2nd most owned pitcher on DraftKings only because he’s $1.5K more than the guy he’s facing of equal talent. On FanDuel, they’re evenly priced and likely to be evenly split, but there’s a decent enough chance this game is decided by the bullpens with neither of them getting that evil word stat.

Kendall Graveman is really the only pitcher on the bottom of the board I would look at today. The rock bottom price tag in what should be a good spot makes him slightly interesting along with what he showed in his first start. Switch uniforms and price tags with Aaron Sanchez today though and he (Sanchez) would be the more interesting one.

Matt Moore has great differential in his price tag today, which obviously makes him more interesting where he’s one of the cheaper arms on FanDuel. He’s always been a huge potential guy and showed promising signs in his first start. The biggest drawback today is concern over Cleveland being very patient and generating a few walks. At the very least, that would drive his pitch count up and knock him out before the 7th inning.

Noah Syndergaard will throw a no-hitter tonight and will probably easily be the most highly owned pitcher on DraftKings tonight. I will likely be among those owners unless something weird happens with my internet. All of the Rotogrinders articles should feature a picture of Syndergaard today.

Robby Erlin – I’m trying to remember why he even bothered to mention him today. Oh yeah, the Phillies. I don’t think I’d use him on DraftKings without strikeout upside at $7.1K though.

Wade Miley is sneaky secondary pitcher tonight. I think he can get you 20 DK points in this spot quite frequently. Unfortunately, his DraftKings price already seems to reflect that and FanDuel only spots one pitcher. He’s not the worst contrarian GPP play you could make on single pitcher sites if you want to stack bats in Colorado though.

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.