Advanced Stats - Pitching: Wednesday, April 19th

Today’s open has really nothing to do with this article, but potentially more about the way we should be thinking about offensive lineup construction going forward. I wanted to talk about a phenomenon we’re suddenly seeing in Cincinnati, in how the Reds are using their bullpen. It didn’t happen last night because the game was a blowout, but they’ve turned a relative joke into a strength this year, by converting a couple of unfit starters (Lorenzen and Iglesias) into long relief weapons. They’re not using them as traditional long relievers though. These guys are entering in the highest leverage situations and pitching for multiple innings.

There’s only one Andrew Miller, but this is the model based on his usage last post-season. It’s not a contender that’s copying it, but rather a team that was desperate and had nothing to lose, although the Astros are doing it to great success with Chris Devenski too. They have little strength in their rotation or bullpen, so they took the best of what they had and converted them to one time through the lineup guys, which then became a strength. They’re effectively closers who might enter anywhere from the third through the ninth inning.

Yesterday Bronson Arroyo started. They knew he was weakness. He was gone after five innings and 82 pitches, before he could do much damage and with his team well ahead. They didn’t even have to use their top two guys last night, which means both are probably available for multiple innings tonight. What does that mean for you? You’re setting up for and I’m writing about Amir Garret, but in a close game now, he might not even get through the lineup twice.

It’s called bullpenning and Brian Kenny loves it. When it becomes successful and more popular, it’s going to have to change the way we think about DFS too. Knowledge of the bullpen and who’s available out of it on any given day may end up being just as important as who is starting.

There’s probably enough for an entirely separate article here, but it’s something I’ve been thinking about this week and decided to unload on a day without an introductory idea. We’re listing all 15 games today with notes on the 11 game night slate.

We’re now up to date on all stats except for team defense, which I’m confident we’ll see next week.

As always, don’t forget to check lineups, umpire assignments, line movement, ownership projections 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. And all of which are now available right here on the site.

Legend

Starting Pitching Main Chart

Pitcher Team Team
Def
SIERA
L2Yrs
IP/GS
L2Yrs
GB%
L2Yrs
Park
Run
Hm/Rd
xFIP
SIERA
L14
Opp Opp
Hm/Rd
Opp L/R
wRC+
Opp L7
wRC+
Adalberto Mejia MIN -5.8 6.39 3.1 37.5% 1.04 5.01 6.21 CLE 104 82 134
Amir Garrett CIN 0.4 3.6 6.1 47.1% 1.02 3.6 BAL 126 87 140
Chris Archer TAM -1.4 3.33 6.18 46.5% 0.96 3.26 3.62 DET 106 105 109
Clayton Kershaw LOS 2.3 2.29 7.11 49.7% 0.89 2.25 2.58 COL 88 97 52
Dallas Keuchel HOU 4.2 3.21 6.78 59.6% 0.94 3.22 2.44 ANA 57 73 43
Dylan Covey CHW 3.3 6.01 5.1 61.1% 1.01 5.41 6.01 NYY 129 125 125
Edinson Volquez FLA 2.8 4.53 5.69 48.7% 0.89 4.61 3.82 SEA 126 97 118
Felix Hernandez SEA -4.3 3.89 6.34 53.0% 0.89 4.18 3.36 FLA 86 98 81
Francisco Liriano TOR 2.2 3.89 5.69 51.3% 1.03 3.92 4.07 BOS 107 97 129
Gerrit Cole PIT -2.8 3.67 6.11 46.9% 0.98 3.86 4.07 STL 66 72 60
Jason Vargas KAN 4.9 4 4.93 40.7% 1.06 3.26 2.51 SFO 99 98 62
J.C. Ramirez ANA 6.5 4.09 5. 52.1% 0.94 4.37 3.81 HOU 110 129 139
Jesse Hahn OAK -8.3 4.41 5.71 50.1% 0.93 4.15 3.79 TEX 84 97 75
Jhoulys Chacin SDG -5.9 4.41 5.31 48.4% 0.91 3.81 4.35 ARI 72 117 72
Joe Ross WAS 1.1 3.9 5.57 45.5% 1 3.92 ATL 114 99 116
Jordan Zimmermann DET -5.1 4.2 6. 41.9% 0.96 4.37 6.12 TAM 124 100 109
Julio Teheran ATL -0.9 4.08 6.19 39.0% 1 3.98 4.61 WAS 108 112 73
Kyle Hendricks CHC 9.1 3.54 5.94 49.9% 0.96 3.07 3.8 MIL 126 95 124
Madison Bumgarner SFO 4.8 3.12 6.8 40.6% 1.06 3.53 3.51 KAN 70 47 84
Martin Perez TEX 1.9 4.83 5.86 54.6% 0.93 5.02 5 OAK 101 64 97
Masahiro Tanaka NYY 0.8 3.63 6.4 47.7% 1.01 3.48 4.51 CHW 68 68 72
Michael Wacha STL -5.3 4.1 5.78 45.5% 0.98 3.73 2.97 PIT 75 95 98
Rick Porcello BOS 4.1 3.74 6.41 43.5% 1.03 3.83 3.35 TOR 87 57 96
Robert Gsellman NYM 1.3 3.7 5.58 53.6% 0.91 3.02 3.58 PHI 79 94 69
Tommy Milone MIL -7.2 4.45 5.23 0.426 0.96 4.53 4.52 CHC 97 149 102
Trevor Bauer CLE 5.4 4.22 5.98 0.442 1.04 3.86 2.82 MIN 106 102 104
Tyler Anderson COL -3.1 3.93 5.86 0.491 0.89 3.67 4.44 LOS 129 81 95
Ubaldo Jimenez BAL -3.2 4.34 5.51 0.478 1.02 4.92 4.8 CIN 101 106 107
Vince Velasquez PHI 1.9 3.61 5.39 0.337 0.91 3.98 3.16 NYM 64 65 73
Zack Greinke ARI -6.1 3.67 6.53 0.47 0.91 3.47 3.55 SDG 97 88 77


Amir Garret is a decently regarded arm, who can miss a few bats and has pitched well in his first two major league starts. The concern had been a walk rate above 9% at every stop of the minors, but he’s walked just two of the 46 batters he’s faced so far. He’s gone six innings in each of his starts, but he’s facing a tough Baltimore lineup tonight and the Reds did not use either of their multiple inning bullpen weapons last night.

Chris Archer is running a bit opposite to how he did last April. He hasn’t allowed a HR and is stranding 79.2% of his runners, while his strikeout rate is just average. In fairness, he did have a SwStr above 11% in each of his first two starts, while an 8.8% against Boston is somewhat of a win. His 32% hard contact rate is the same as last year, though his aEV is just 87.6 mph, while he hasn’t met a barrel yet. After throwing 13 changeups in his first start, he’s gone back to strictly fastball/slider in the next two, so we can’t site any real changes. He’s got another tough matchup against Detroit tonight, but the Tigers will strike out a bit more than Boston and the home environment is in his favor.

Clayton Kershaw has just a 9.5 SwStr% and he’s faced the bottom of the NL West, though one of those starts was in Colorado, where he had a 7.0 SwStr%. He’s been above 10% in the other two, although still not up to his usual standards. In Kershaw we trust. He still has a 26.6 K-BB%. Facing the Rockies at home is about as far a jump as you can get from facing them at Coors. Seriously, it’s going from the highest run scoring environment (39% above average) to the lowest one (11% below average).

Dallas Keuchel had an extremely generous called strike zone last time out. In fact, it kind of looked like his beard. The bigger point to take away from that is that he continues to keep the ball down and out of the middle of the strike zone and continues to have excellent results to start the season. Sure, there’s an unsustainable .113 BABIP and 100% strand rate, but he’s missing bats at around a league average rate and when he’s not, 73.1% of his contact has been on the ground (in a year when ground balls are down significantly) with a -18.2 Hard-Soft%. He’s locating perfectly and dominating on contact. He won’t stay this hot, but he could be returning to 2015 form. The Angels have been terrible in a small sample size on the road and against LHP thus far.

Jason Vargas has struck out 14 of 50 batters on a 13.1 SwStr% and at a time when everyone’s ground ball rate is down, a career fly ball generator is inducing 50% of his contact on the ground all of a sudden. He’s doubled his two seam usage at the cost of his four seamer, but hasn’t otherwise messed with his secondary stuff and is still throwing 87 mph. It’s difficult to see what he’s doing different, but it’s worked so far. He faced the Giants tonight, a neutral offense so far that’s been striking out a bit more often than usual.

Madison Bumgarner has not sustained the velocity increase from his first start, but is still pitching as well as he normally does (24.4 K-BB%), although his hard contact rate has gone up. It’s been at least 50% in two of his three starts, though he struck out at least one-third of batters faced in those two starts. He should dominate a Kansas City lineup that struggles to generate hard contact and now strikes out a bit more than when he faced them in the post-season.

Masahiro Tanaka has not gotten on track yet. Although he’s missing an extraordinary number of bats, it hasn’t translated to his strikeout rate because he’s walking so many batters. His walk rate has nearly tripled so far. He’s actually throwing more pitches in the strike zone because he has to. Batters aren’t swinging at pitches out of the zone as much (O-Swing% down five points) and he’s falling behind early (57.1 F-Strike% down six to seven points). Against better offenses, this may remain a problem. I’m not sure the White Sox have the discipline to continue to make him pay.

Robert Gsellman has allowed 11 runs in 9.2 innings in two starts, walking 10% of batters with a 40.6 Hard%. You may want to skip ahead right now because I’m going to start making excuses. The defense is a mess and can be directly implicated in a number of runs he allowed in his last start. They were all earned due to favorable home scoring in Miami and he’s run into a red hot Marcell Ozuna twice (he hit both HRs off him). The stuff has otherwise been very good. His fastball had a lot of movement in his last start and it was more poor pitch choice than actual stuff that got him in trouble. D’arnaud called for a fastball on the outside corner on one pitch that moved so much it ended up back over the middle of the plate and was smoked. The stuff has to be good to strike out over a quarter of the batters he’s faced and he’s generated a grounder on 51.6% of batted balls. There’s still some good stuff here. He has the highest negative gap between his ERA and estimators on the board (nearly six runs). I’m still aboard this train, especially against the Phillies.

Trevor Bauer has allowed 10 runs and three HRs in two starts with barrels met on 10% of his BBE. However, he’s struck out 13 of 48 batters with just two walks and ERA estimators separated by more than five runs in some cases. Three of his four estimators are below three. His underlying batted ball numbers are not at all different aside from the HRs and his 22.9 K-BB% nearly doubles his previous seasons. I don’t expect him to hold any of this, but it’s been much worse than expected results due to the HRs, a .400 BABIP and 54.7 LOB%. Minnesota has been a better offense than projected in a friendlier run environment than most people realize.

NOT AS GOOD AS THEY LOOK (OR THE FADE LIST)

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 (.298 BABIP – 72.3 LOB% – 13.3 HR/FB)
Julio Teheran (.294 – 84% – 0) is still missing bats at a league average rate, but has walked 10.5% of batters so far. The contact has been great (85 mph aEV, -2.0 Hard-Soft%, no Barrels). He’s not going to continue stranding so many runners though and the HRs are going to come eventually. He’s not showing enough upside right now and the walks are a problem against an above average offense tonight.

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

Vince Velasquez is one of several starters separated from their estimators by well over five runs in the early going. He’s struck out 17 of the 44 batters he’s faced, so why wouldn’t he have reasonable estimators? Well, he’s also walked seven and allowed three HRs, running up 100 pitches in five innings or less twice. He certainly has an immense amount of upside, but didn’t often reach it even last season contrary to popular belief. It’s just that his few great starts were great so people may think it happened more often. He exceeded seven strikeouts just three times after his first two starts, in which he accumulated 25. He also generates fewer ground balls than any pitcher on the slate (33.7% career) and that could be a major issue if he’s all over the place again. $9.4K on DraftKings is a lot to ask here, while even $7.8K may be difficult when looking for a quality start.

Zack Greinke has really had just one good start. It looks like he’s going to have to learn to pitch with reduced velocity and for some pitchers that takes a while. That while may sometimes take seasons, while some are never able to figure it out. He’s a smart guy, so I wouldn’t bet against him being a good pitcher again at some point, but he’s not someone I want to pay more than $8.5K for, even in a great matchup in San Diego tonight.

Tyler Anderson got his ground ball rate up to 50% and had a hard hit rate below 35% both for the first time in his last start, but generated just three swinging strikes. We would have been jumping all over him in Dodger Stadium in 2016, but he seems to be a different pitcher and I’m not sure what to think of him so far. The Dodgers can/should be better against LHP this year, but haven’t shown that so far.

Rick Porcello is not having a problem missing bats. His 17.7 K-BB% is virtually the same as last year and, in fact, his SwStr rate is up 50%. However, his HR problems have cropped up again. He’s been less of a ground ball generators since moving to Boston, but he’s down to 38.6% this year and his contact in the air is being smoked (45.6 Hard%, 17.9% Barrels/BBE). The Toronto offense has been a mess (16.0 K-BB%, 5.6 HR/FB vs RHP), but are expected to be much better. Players are being asked to pay an absurd $10.9K on DraftKings, probably still primarily based on his 22 Wins last year.

Joe Ross did not fare well in his first short rehab start at AAA, but went seven shutout innings with six strikeouts in his second one. There may be some caution with him here and the Atlanta offense has not been bad. Most of their best hitters are LH, a side which has a .354 career wOBA against him with just a 36.4 GB%.

Francisco Liriano was bad Liriano (four walks, one strikeout) and then he was good Liriano (two walks, 10 strikeouts). However, in both starts, he allowed hard contact on more than 45% of batted balls with very little contact on the ground. His aEV is 96 mph! Despite the upside, there’s no need to mess with him in Boston tonight.

Jordan Zimmermann is in a high strikeout spot, but does not miss bats at all anymore. I have no idea what DRA has seen that it likes so much in him so far. He walked five last time out.

Jhoulys Chacin had one strong start at home against San Francisco, but failed to strikeout more batters than he’s walked in the two surrounding it and has a SwStr below 5%.

Ubaldo Jimenez is going to pitch one of these days…unfortunately for Baltimore fans.

J.C. Ramirez

Adalberto Mejia

Dylan Covey

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%
Adalberto Mejia Twins L2 Years 9.3% 14.0% Home 20.0% 15.0% L14 Days 13.3% 16.7%
Amir Garrett Reds L2 Years 19.6% 4.4% Home L14 Days 19.6% 4.4%
Chris Archer Rays L2 Years 27.9% 7.8% Home 28.7% 8.0% L14 Days 24.1% 9.3%
Clayton Kershaw Dodgers L2 Years 32.8% 3.4% Home 32.1% 1.6% L14 Days 25.5% 1.8%
Dallas Keuchel Astros L2 Years 22.5% 6.0% Home 20.3% 5.1% L14 Days 21.6% 5.9%
Dylan Covey White Sox L2 Years 4.6% 13.6% Road 4.6% 13.6% L14 Days 4.6% 13.6%
Edinson Volquez Marlins L2 Years 17.5% 8.9% Road 15.7% 9.6% L14 Days 24.0% 10.0%
Felix Hernandez Mariners L2 Years 21.0% 8.0% Home 19.4% 8.0% L14 Days 16.4% 0.0%
Francisco Liriano Blue Jays L2 Years 24.8% 10.5% Home 24.8% 11.1% L14 Days 32.4% 17.7%
Gerrit Cole Pirates L2 Years 21.7% 5.9% Road 19.0% 6.7% L14 Days 17.0% 5.7%
Jason Vargas Royals L2 Years 20.3% 6.4% Home 25.4% 5.1% L14 Days 28.0% 4.0%
J.C. Ramirez Angels L2 Years 16.7% 7.6% Road 14.3% 5.9% L14 Days 15.8% 5.3%
Jesse Hahn Athletics L2 Years 15.0% 7.3% Home 15.1% 6.4% L14 Days 18.9% 5.7%
Jhoulys Chacin Padres L2 Years 18.5% 8.9% Home 20.5% 6.6% L14 Days 16.3% 10.2%
Joe Ross Nationals L2 Years 21.3% 6.6% Road 22.5% 7.8% L14 Days
Jordan Zimmermann Tigers L2 Years 18.1% 5.5% Road 16.8% 5.7% L14 Days 13.3% 13.3%
Julio Teheran Braves L2 Years 21.2% 7.2% Home 23.2% 6.5% L14 Days 17.7% 9.8%
Kyle Hendricks Cubs L2 Years 22.7% 5.9% Home 24.0% 4.2% L14 Days 19.6% 6.5%
Madison Bumgarner Giants L2 Years 27.8% 5.3% Road 27.7% 5.4% L14 Days 22.0% 5.1%
Martin Perez Rangers L2 Years 13.0% 8.8% Road 11.4% 10.6% L14 Days 19.2% 15.1%
Masahiro Tanaka Yankees L2 Years 21.3% 4.6% Home 23.0% 4.6% L14 Days 19.2% 11.5%
Michael Wacha Cardinals L2 Years 20.2% 7.6% Home 20.8% 7.5% L14 Days 28.6% 6.1%
Rick Porcello Red Sox L2 Years 21.0% 4.3% Road 21.7% 4.0% L14 Days 24.5% 5.7%
Robert Gsellman Mets L2 Years 23.4% 8.5% Home 24.4% 7.9% L14 Days 26.1% 10.9%
Tommy Milone Brewers L2 Years 16.1% 6.3% Road 15.7% 7.6% L14 Days 11.9% 2.4%
Trevor Bauer Indians L2 Years 21.4% 9.1% Road 21.4% 7.8% L14 Days 27.1% 4.2%
Tyler Anderson Rockies L2 Years 20.4% 6.3% Road 20.2% 6.1% L14 Days 18.2% 9.1%
Ubaldo Jimenez Orioles L2 Years 20.1% 9.7% Road 18.2% 10.9% L14 Days 14.0% 7.0%
Vince Velasquez Phillies L2 Years 27.5% 8.8% Road 23.1% 8.3% L14 Days 38.6% 15.9%
Zack Greinke Diamondbacks L2 Years 22.0% 5.5% Road 23.3% 5.3% L14 Days 19.6% 5.9%

K/BB Chart – Opponent

Opponent Split K% BB% Split K% BB% Split K% BB%
Indians Road 16.8% 8.1% LH 16.4% 12.0% L7Days 18.9% 8.8%
Orioles Road 22.8% 6.0% LH 23.6% 5.1% L7Days 22.3% 6.0%
Tigers Road 22.4% 10.8% RH 24.1% 11.0% L7Days 23.3% 7.8%
Rockies Road 22.3% 7.8% LH 24.9% 4.9% L7Days 24.5% 6.5%
Angels Road 23.5% 8.0% LH 21.3% 9.3% L7Days 25.9% 7.7%
Yankees Home 21.0% 11.7% RH 20.8% 10.6% L7Days 21.3% 13.0%
Mariners Home 16.9% 8.6% RH 21.9% 7.7% L7Days 17.5% 8.0%
Marlins Road 22.1% 5.9% RH 23.3% 6.0% L7Days 23.8% 6.0%
Red Sox Road 16.1% 8.8% LH 15.6% 12.8% L7Days 14.8% 7.7%
Cardinals Home 20.8% 10.9% RH 21.8% 9.0% L7Days 23.4% 6.2%
Giants Road 21.2% 8.2% LH 21.4% 10.7% L7Days 17.4% 6.4%
Astros Home 17.5% 7.7% RH 17.0% 8.5% L7Days 13.9% 10.4%
Rangers Road 20.2% 7.6% RH 21.1% 7.6% L7Days 20.0% 8.1%
Diamondbacks Road 26.1% 9.2% RH 25.7% 9.8% L7Days 27.0% 10.4%
Braves Home 17.4% 9.0% RH 20.6% 8.2% L7Days 16.4% 8.9%
Rays Home 24.6% 12.0% RH 28.1% 8.3% L7Days 31.2% 8.7%
Nationals Road 24.7% 10.7% RH 19.8% 9.0% L7Days 16.0% 6.1%
Brewers Road 22.8% 6.8% RH 26.0% 8.3% L7Days 21.3% 7.5%
Royals Home 22.8% 8.4% LH 24.8% 10.5% L7Days 20.7% 7.8%
Athletics Home 25.6% 8.9% LH 21.9% 8.4% L7Days 24.1% 8.8%
White Sox Road 24.3% 4.5% RH 25.2% 5.7% L7Days 22.9% 5.1%
Pirates Road 18.3% 6.3% RH 14.8% 7.4% L7Days 18.8% 6.6%
Blue Jays Home 24.2% 7.4% RH 23.3% 7.3% L7Days 23.7% 6.4%
Phillies Road 25.3% 8.7% RH 23.7% 8.7% L7Days 21.5% 6.8%
Cubs Home 23.4% 9.7% LH 17.4% 14.0% L7Days 23.1% 8.5%
Twins Home 20.4% 13.1% RH 20.4% 11.2% L7Days 19.4% 11.0%
Dodgers Home 19.9% 11.8% LH 22.3% 10.5% L7Days 22.8% 11.2%
Reds Home 18.6% 6.9% RH 17.3% 7.4% L7Days 17.0% 7.8%
Mets Home 22.3% 9.2% RH 24.5% 10.1% L7Days 22.5% 10.7%
Padres Home 15.6% 10.9% RH 22.3% 8.0% L7Days 21.4% 8.8%

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%
Adalberto Mejia Twins L2 Years 28.1% 0.0% 6.2% 2017 20.0% 0.0% -10.0% Home 15.4% 0.0% -7.7% L14 Days 20.0% 0.0% -10.0%
Amir Garrett Reds L2 Years 32.4% 8.3% 5.9% 2017 32.4% 8.3% 5.9% Home L14 Days 32.4% 8.3% 5.9%
Chris Archer Rays L2 Years 32.5% 12.6% 15.1% 2017 32.2% 0.0% 16.9% Home 31.9% 9.6% 14.8% L14 Days 36.1% 0.0% 25.0%
Clayton Kershaw Dodgers L2 Years 26.8% 9.1% 6.6% 2017 39.3% 18.2% 19.7% Home 27.8% 3.1% 6.3% L14 Days 35.0% 25.0% 15.0%
Dallas Keuchel Astros L2 Years 24.9% 15.3% 1.1% 2017 14.6% 18.2% -18.1% Home 26.4% 12.3% 1.9% L14 Days 13.5% 33.3% -24.3%
Dylan Covey White Sox L2 Years 16.7% 0.0% -5.5% 2017 16.7% 0.0% -5.5% Road 16.7% 0.0% -5.5% L14 Days 16.7% 0.0% -5.5%
Edinson Volquez Marlins L2 Years 31.5% 10.9% 13.9% 2017 40.0% 20.0% 26.7% Road 33.7% 18.1% 13.1% L14 Days 39.4% 25.0% 27.3%
Felix Hernandez Mariners L2 Years 26.2% 15.3% 8.6% 2017 19.3% 21.4% 0.0% Home 30.6% 13.3% 15.7% L14 Days 17.8% 9.1% -2.2%
Francisco Liriano Blue Jays L2 Years 30.1% 15.2% 7.8% 2017 47.1% 14.3% 41.2% Home 36.1% 12.7% 17.8% L14 Days 47.1% 14.3% 41.2%
Gerrit Cole Pirates L2 Years 30.4% 7.0% 10.2% 2017 38.3% 15.0% 20.0% Road 31.9% 6.9% 10.5% L14 Days 29.3% 13.3% 4.9%
Jason Vargas Royals L2 Years 33.7% 5.7% 15.7% 2017 26.5% 0.0% 5.9% Home 34.2% 0.0% 14.7% L14 Days 26.5% 0.0% 5.9%
J.C. Ramirez Angels L2 Years 28.9% 15.5% 9.1% 2017 34.3% 20.0% 8.6% Road 28.0% 18.4% 6.3% L14 Days 33.3% 12.5% 6.6%
Jesse Hahn Athletics L2 Years 26.4% 11.2% 5.8% 2017 25.0% 0.0% 2.5% Home 30.3% 17.9% 13.1% L14 Days 25.0% 0.0% 2.5%
Jhoulys Chacin Padres L2 Years 32.9% 11.8% 15.1% 2017 34.6% 11.8% 21.1% Home 26.8% 4.7% 5.3% L14 Days 27.8% 0.0% 11.1%
Joe Ross Nationals L2 Years 29.8% 9.6% 12.8% 2017 Road 31.9% 9.8% 18.0% L14 Days
Jordan Zimmermann Tigers L2 Years 29.4% 10.6% 10.4% 2017 43.8% 5.9% 28.2% Road 20.4% 5.2% 0.0% L14 Days 43.8% 5.9% 28.2%
Julio Teheran Braves L2 Years 31.5% 10.5% 13.4% 2017 19.6% 0.0% -2.0% Home 32.7% 9.8% 14.0% L14 Days 20.0% 0.0% -2.9%
Kyle Hendricks Cubs L2 Years 26.3% 11.1% 4.4% 2017 44.1% 16.7% 20.6% Home 26.7% 6.0% 1.1% L14 Days 44.1% 16.7% 20.6%
Madison Bumgarner Giants L2 Years 29.8% 10.5% 10.3% 2017 37.9% 8.7% 17.2% Road 33.5% 13.9% 14.4% L14 Days 28.6% 5.9% 7.2%
Martin Perez Rangers L2 Years 29.0% 9.5% 12.0% 2017 39.6% 16.7% 20.8% Road 34.4% 10.8% 20.4% L14 Days 39.6% 16.7% 20.8%
Masahiro Tanaka Yankees L2 Years 31.1% 14.2% 12.1% 2017 23.4% 18.8% 2.1% Home 34.2% 14.3% 17.8% L14 Days 11.8% 8.3% -14.7%
Michael Wacha Cardinals L2 Years 30.1% 11.4% 10.3% 2017 25.0% 13.3% 6.2% Home 33.5% 11.8% 15.3% L14 Days 25.0% 13.3% 6.2%
Rick Porcello Red Sox L2 Years 32.3% 11.6% 15.1% 2017 45.6% 20.8% 24.5% Road 29.4% 11.8% 13.5% L14 Days 51.4% 33.3% 35.2%
Robert Gsellman Mets L2 Years 30.8% 7.9% 11.9% 2017 40.6% 20.0% 18.7% Home 30.2% 5.6% 10.4% L14 Days 37.9% 22.2% 17.2%
Tommy Milone Brewers L2 Years 29.9% 15.5% 10.3% 2017 25.6% 14.3% -7.0% Road 34.4% 20.8% 13.8% L14 Days 27.8% 16.7% -5.5%
Trevor Bauer Indians L2 Years 31.7% 12.5% 12.1% 2017 30.3% 30.0% 15.1% Road 30.1% 7.5% 9.3% L14 Days 30.3% 30.0% 15.1%
Tyler Anderson Rockies L2 Years 29.4% 14.0% 5.1% 2017 37.5% 23.5% 12.5% Road 27.6% 17.1% 4.1% L14 Days 37.5% 23.5% 12.5%
Ubaldo Jimenez Orioles L2 Years 29.3% 12.7% 10.3% 2017 35.3% 23.1% 14.7% Road 29.4% 8.5% 10.4% L14 Days 35.3% 23.1% 14.7%
Vince Velasquez Phillies L2 Years 31.4% 13.2% 13.2% 2017 42.1% 37.5% 26.3% Road 33.2% 14.3% 13.1% L14 Days 42.1% 37.5% 26.3%
Zack Greinke Diamondbacks L2 Years 28.9% 10.3% 7.8% 2017 39.6% 5.6% 22.6% Road 26.3% 15.7% 4.7% L14 Days 39.5% 0.0% 29.0%

Batted Ball Charts – Opponent

Opponent Split Hard% HR/FB% Hd-St% Split Hard% HR/FB% Hd-St% Split Hard% HR/FB% Hd-St%
Indians Road 40.1% 11.0% 25.6% LH 38.3% 7.1% 22.7% L7Days 35.0% 14.7% 17.5%
Orioles Road 36.2% 20.0% 17.6% LH 34.8% 13.9% 16.9% L7Days 37.6% 23.0% 18.2%
Tigers Road 37.2% 17.0% 19.6% RH 45.8% 14.5% 30.4% L7Days 44.7% 18.6% 27.4%
Rockies Road 32.3% 12.0% 7.8% LH 37.2% 20.4% 16.3% L7Days 33.8% 9.7% 10.1%
Angels Road 28.6% 6.5% 10.2% LH 30.1% 4.8% 17.8% L7Days 28.6% 7.7% 5.0%
Yankees Home 31.3% 16.2% 10.8% RH 31.5% 13.3% 10.5% L7Days 28.3% 13.8% 6.0%
Mariners Home 30.3% 11.8% 8.0% RH 25.5% 10.6% 4.2% L7Days 31.0% 15.8% 9.7%
Marlins Road 30.0% 9.2% 9.3% RH 34.3% 14.1% 14.9% L7Days 29.1% 16.1% 5.6%
Red Sox Road 46.5% 3.8% 26.8% LH 42.3% 4.8% 21.8% L7Days 36.5% 5.9% 15.3%
Cardinals Home 22.9% 6.3% 3.1% RH 23.7% 11.5% 4.2% L7Days 30.8% 12.2% 14.7%
Giants Road 32.7% 13.0% 15.7% LH 31.8% 18.9% 12.9% L7Days 22.8% 4.4% -0.6%
Astros Home 27.4% 17.3% 6.0% RH 29.6% 14.5% 7.5% L7Days 30.9% 9.8% 13.4%
Rangers Road 25.7% 9.6% 5.1% RH 31.9% 13.9% 14.4% L7Days 24.5% 8.6% 4.9%
Diamondbacks Road 32.5% 9.0% 14.5% RH 35.3% 12.9% 20.0% L7Days 30.6% 10.2% 11.8%
Braves Home 34.4% 17.6% 19.1% RH 32.1% 11.7% 16.6% L7Days 34.6% 21.4% 20.8%
Rays Home 30.8% 15.4% 8.7% RH 31.6% 17.1% 12.7% L7Days 37.8% 17.3% 17.9%
Nationals Road 28.9% 10.5% 14.5% RH 29.5% 11.7% 12.5% L7Days 26.4% 5.7% 6.4%
Brewers Road 31.0% 23.0% 12.2% RH 32.0% 21.3% 11.7% L7Days 30.5% 23.4% 10.2%
Royals Home 26.9% 8.7% 2.9% LH 21.2% 11.8% -9.1% L7Days 26.6% 9.7% 2.6%
Athletics Home 26.1% 15.9% 4.9% LH 26.9% 7.9% 0.0% L7Days 29.7% 11.5% 6.9%
White Sox Road 21.8% 11.1% 6.9% RH 25.1% 12.2% 7.5% L7Days 21.8% 10.9% 6.2%
Pirates Road 30.2% 7.7% 9.9% RH 29.2% 7.4% 7.3% L7Days 30.1% 11.5% 8.6%
Blue Jays Home 31.2% 9.8% 11.5% RH 31.5% 5.6% 10.2% L7Days 31.1% 12.0% 11.9%
Phillies Road 30.6% 13.8% 6.9% RH 27.2% 14.3% 4.4% L7Days 28.2% 12.5% 1.5%
Cubs Home 28.1% 9.5% 11.3% LH 29.1% 13.3% -1.3% L7Days 27.6% 11.1% 11.5%
Twins Home 31.4% 5.3% 12.6% RH 35.1% 8.8% 19.0% L7Days 35.6% 9.5% 18.0%
Dodgers Home 36.8% 13.9% 23.2% LH 32.1% 7.5% 16.0% L7Days 30.1% 7.8% 13.9%
Reds Home 28.3% 12.8% 9.4% RH 25.9% 9.7% 3.4% L7Days 27.7% 10.2% 3.6%
Mets Home 29.4% 8.0% 10.8% RH 30.3% 9.6% 13.2% L7Days 33.9% 9.1% 14.3%
Padres Home 22.6% 10.5% -1.9% RH 27.5% 14.9% 5.4% L7Days 25.3% 13.6% -3.5%

K/SwStr Chart (2016 LG AVG – 20.2 K% – 9.5 SwStr% – 2.13 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%
Adalberto Mejia MIN 13.3% 6.8% 1.96 13.3% 6.8% 1.96
Amir Garrett CIN 19.6% 9.2% 2.13 19.6% 9.2% 2.13
Chris Archer TAM 21.7% 10.5% 2.07 21.7% 10.5% 2.07
Clayton Kershaw LOS 27.9% 9.5% 2.94 27.9% 9.5% 2.94
Dallas Keuchel HOU 19.7% 10.4% 1.89 19.7% 10.4% 1.89
Dylan Covey CHW 4.6% 3.3% 1.39 4.6% 3.3% 1.39
Edinson Volquez FLA 26.1% 9.4% 2.78 26.1% 9.4% 2.78
Felix Hernandez SEA 20.3% 9.1% 2.23 20.3% 9.1% 2.23
Francisco Liriano TOR 32.4% 12.7% 2.55 32.4% 12.7% 2.55
Gerrit Cole PIT 14.7% 7.6% 1.93 14.7% 7.6% 1.93
Jason Vargas KAN 28.0% 13.1% 2.14 28.0% 13.1% 2.14
J.C. Ramirez ANA 13.3% 9.2% 1.45 13.3% 9.2% 1.45
Jesse Hahn OAK 18.9% 8.5% 2.22 18.9% 8.5% 2.22
Jhoulys Chacin SDG 14.3% 4.9% 2.92 14.3% 4.9% 2.92
Joe Ross WAS
Jordan Zimmermann DET 13.3% 5.8% 2.29 13.3% 5.8% 2.29
Julio Teheran ATL 19.7% 9.4% 2.10 19.7% 9.4% 2.10
Kyle Hendricks CHC 19.6% 7.6% 2.58 19.6% 7.6% 2.58
Madison Bumgarner SFO 27.9% 11.6% 2.41 27.9% 11.6% 2.41
Martin Perez TEX 19.2% 6.7% 2.87 19.2% 6.7% 2.87
Masahiro Tanaka NYY 18.6% 13.7% 1.36 18.6% 13.7% 1.36
Michael Wacha STL 28.6% 14.4% 1.99 28.6% 14.4% 1.99
Rick Porcello BOS 22.8% 12.2% 1.87 22.8% 12.2% 1.87
Robert Gsellman NYM 26.0% 9.3% 2.80 26.0% 9.3% 2.80
Tommy Milone MIL 13.7% 7.3% 1.88 13.7% 7.3% 1.88
Trevor Bauer CLE 27.1% 10.3% 2.63 27.1% 10.3% 2.63
Tyler Anderson COL 18.2% 10.9% 1.67 18.2% 10.9% 1.67
Ubaldo Jimenez BAL 14.0% 6.6% 2.12 14.0% 6.6% 2.12
Vince Velasquez PHI 38.6% 11.9% 3.24 38.6% 11.9% 3.24
Zack Greinke ARI 19.4% 10.8% 1.80 19.4% 10.8% 1.80


We’re seeing fewer outliers the fourth time through for some of these pitchers now with only one pitcher above a 3.0 K/SwStr. Jason Vargas having a SwStr% nearly four points above Clayton Kershaw was not something I was ever expecting to see at any point in any season.

ERA Estimators Chart (2016 LG AVG – 4.34 ERA – 4.30 SIERA – 4.24 xFIP – 4.30 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 Season
DRA
DIFF ERA
L30
SIERA
L30
DIFF xFIP
L30
DIFF FIP
L30
DIFF
Adalberto Mejia MIN 4.05 6.18 2.13 6.55 2.5 4.4 0.35 4.13 0.08 4.05 6.21 2.16 6.55 2.5 4.4 0.35
Amir Garrett CIN 1.42 3.58 2.16 3.7 2.28 3.22 1.8 4.38 2.96 1.42 3.6 2.18 3.7 2.28 3.22 1.8
Chris Archer TAM 2.21 3.61 1.4 3.35 1.14 2.02 -0.19 1.19 -1.02 2.21 3.61 1.4 3.35 1.14 2.02 -0.19
Clayton Kershaw LOS 2.53 2.47 -0.06 2.62 0.09 3.42 0.89 2.86 0.33 2.53 2.48 -0.05 2.62 0.09 3.42 0.89
Dallas Keuchel HOU 0.86 2.98 2.12 3.17 2.31 3.57 2.71 1.20 0.34 0.86 2.98 2.12 3.17 2.31 3.57 2.71
Dylan Covey CHW 1.69 5.99 4.3 5.41 3.72 4.22 2.53 1.82 0.13 1.69 6.01 4.32 5.41 3.72 4.22 2.53
Edinson Volquez FLA 3.45 3.41 -0.04 3.28 -0.17 4.24 0.79 1.41 -2.04 3.45 3.42 -0.03 3.28 -0.17 4.24 0.79
Felix Hernandez SEA 2.95 2.96 0.01 2.64 -0.31 3.56 0.61 2.30 -0.65 2.95 2.96 0.01 2.64 -0.31 3.56 0.61
Francisco Liriano TOR 9 4.07 -4.93 3.92 -5.08 4.19 -4.81 7.39 -1.61 9 4.07 -4.93 3.92 -5.08 4.19 -4.81
Gerrit Cole PIT 5.29 4.25 -1.04 4.18 -1.11 4.61 -0.68 3.05 -2.24 5.29 4.25 -1.04 4.18 -1.11 4.61 -0.68
Jason Vargas KAN 0.66 2.49 1.83 2.34 1.68 1.29 0.63 5.66 5.00 0.66 2.51 1.85 2.34 1.68 1.29 0.63
J.C. Ramirez ANA 7.2 4.55 -2.65 4.49 -2.71 5.5 -1.7 3.40 -3.80 7.2 4.55 -2.65 4.49 -2.71 5.5 -1.7
Jesse Hahn OAK 3.75 3.79 0.04 3.84 0.09 1.99 -1.76 6.02 2.27 3.75 3.79 0.04 3.84 0.09 1.99 -1.76
Jhoulys Chacin SDG 7.8 4.83 -2.97 4.97 -2.83 4.9 -2.9 6.72 -1.08 7.8 4.83 -2.97 4.97 -2.83 4.9 -2.9
Joe Ross WAS
Jordan Zimmermann DET 5.06 6.1 1.04 6.28 1.22 4.97 -0.09 1.73 -3.33 5.06 6.12 1.06 6.28 1.22 4.97 -0.09
Julio Teheran ATL 0.95 4.5 3.55 4.49 3.54 2.9 1.95 2.55 1.60 0.95 4.5 3.55 4.49 3.54 2.9 1.95
Kyle Hendricks CHC 5.73 3.8 -1.93 3.82 -1.91 4.45 -1.28 12.34 6.61 5.73 3.8 -1.93 3.82 -1.91 4.45 -1.28
Madison Bumgarner SFO 3.43 2.68 -0.75 2.93 -0.5 2.43 -1 1.69 -1.74 3.43 2.68 -0.75 2.93 -0.5 2.43 -1
Martin Perez TEX 2.2 4.99 2.79 4.38 2.18 4.8 2.6 5.30 3.10 2.2 5 2.8 4.38 2.18 4.8 2.6
Masahiro Tanaka NYY 8.36 4.61 -3.75 5.01 -3.35 5.98 -2.38 4.57 -3.79 8.36 4.61 -3.75 5.01 -3.35 5.98 -2.38
Michael Wacha STL 3 2.97 -0.03 3.31 0.31 3.49 0.49 1.92 -1.08 3 2.97 -0.03 3.31 0.31 3.49 0.49
Rick Porcello BOS 7.56 3.44 -4.12 3.75 -3.81 5.36 -2.2 6.76 -0.80 7.56 3.45 -4.11 3.75 -3.81 5.36 -2.2
Robert Gsellman NYM 9.28 3.44 -5.84 3.36 -5.92 4.31 -4.97 8.32 -0.96 9.28 3.46 -5.82 3.36 -5.92 4.31 -4.97
Tommy Milone MIL 7.36 4.14 -3.22 3.93 -3.43 4.27 -3.09 6.34 -1.02 7.36 4.14 -3.22 3.93 -3.43 4.27 -3.09
Trevor Bauer CLE 8.44 2.8 -5.64 2.52 -5.92 4.69 -3.75 2.14 -6.30 8.44 2.82 -5.62 2.52 -5.92 4.69 -3.75
Tyler Anderson COL 8.59 4.42 -4.17 4.34 -4.25 6.04 -2.55 4.76 -3.83 8.59 4.44 -4.15 4.34 -4.25 6.04 -2.55
Ubaldo Jimenez BAL 10.38 4.78 -5.6 4.94 -5.44 7.06 -3.32 2.84 -7.54 10.38 4.8 -5.58 4.94 -5.44 7.06 -3.32
Vince Velasquez PHI 9 3.16 -5.84 3.21 -5.79 6.13 -2.87 5.33 -3.67 9 3.16 -5.84 3.21 -5.79 6.13 -2.87
Zack Greinke ARI 4.32 3.87 -0.45 3.84 -0.48 2.9 -1.42 3.20 -1.12 4.32 3.88 -0.44 3.84 -0.48 2.9 -1.42


DRA continues to confound me. It’s praised by a lot of smart people, so there’s certainly something there, but I really have no idea what it values yet. The numbers seem to be all over the place and not necessarily in line with any of the other estimators. Look at Robert Gsellman, Trevor Bauer and Vince Velasquez, who otherwise have somewhat similar estimators, but a DRA separated from each other by at least three full runs.

BABIP & Statcast Chart (2016 LG AVG – .298 BABIP – 44.3 GB% – 20.9 LD% – 9.5 IFFB% – 87.2 Z-Contact%)

A few years back, 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. A pitcher with a much lower BABIP than his team allows is a red flag absent further supporting evidence, while a pitcher with a much higher BABIP than his team allows may have something to offer in the future, especially with the right indicators.

Pitcher Team Team BABIP Pitcher BABIP Diff GB% Pitcher LD% Pitcher IFFB% Pitcher Zcontact Exit
Velocity
Barrels
BBE
Barrels
PA
BBE
Adalberto Mejia MIN 0.233 0.300 0.067 40.0% 0.15 11.1% 87.2% 87.8 5.30% 3.30% 19
Amir Garrett CIN 0.255 0.182 -0.073 47.1% 0.176 0.0% 89.8% 89.6 2.90% 2.20% 34
Chris Archer TAM 0.271 0.305 0.034 46.6% 0.241 11.8% 83.7% 87.6 0.00% 0.00% 55
Clayton Kershaw LOS 0.266 0.192 -0.074 45.5% 0.145 18.2% 89.4% 86.9 7.40% 5.10% 54
Dallas Keuchel HOU 0.261 0.113 -0.148 73.1% 0.058 0.0% 92.3% 88.3 6.30% 3.90% 48
Dylan Covey CHW 0.253 0.278 0.025 61.1% 0.167 0.0% 94.7% 85.1 0.00% 0.00% 18
Edinson Volquez FLA 0.235 0.310 0.075 41.9% 0.233 6.7% 90.3% 89.5 9.30% 5.80% 43
Felix Hernandez SEA 0.296 0.327 0.031 45.5% 0.291 7.1% 89.7% 85.4 6.40% 4.10% 47
Francisco Liriano TOR 0.307 0.438 0.131 23.5% 0.353 0.0% 85.7% 96 11.80% 5.90% 17
Gerrit Cole PIT 0.289 0.316 0.027 49.1% 0.158 5.0% 90.3% 90.1 7.10% 5.30% 56
Jason Vargas KAN 0.277 0.294 0.017 50.0% 0.235 11.1% 74.6% 85.2 0.00% 0.00% 32
J.C. Ramirez ANA 0.274 0.273 -0.001 50.0% 0.206 20.0% 84.3% 88.7 6.10% 4.40% 33
Jesse Hahn OAK 0.259 0.325 0.066 33.3% 0.308 7.1% 91.8% 88.3 5.30% 3.80% 38
Jhoulys Chacin SDG 0.258 0.340 0.082 50.0% 0.173 5.9% 91.4% 87.1 7.80% 5.70% 51
Joe Ross WAS 0.291
Jordan Zimmermann DET 0.300 0.226 -0.074 21.9% 0.25 23.5% 87.9% 91.6 12.90% 8.90% 31
Julio Teheran ATL 0.262 0.294 0.032 28.6% 0.327 0.0% 86.6% 85 0.00% 0.00% 46
Kyle Hendricks CHC 0.261 0.281 0.02 51.5% 0.121 8.3% 92.5% 89.1 6.50% 4.30% 31
Madison Bumgarner SFO 0.297 0.286 -0.011 43.9% 0.158 13.0% 86.6% 87 6.00% 3.50% 50
Martin Perez TEX 0.280 0.348 0.068 43.8% 0.313 16.7% 92.2% 90.4 9.10% 5.50% 44
Masahiro Tanaka NYY 0.274 0.364 0.09 45.7% 0.196 12.5% 82.2% 90.4 11.60% 7.10% 43
Michael Wacha STL 0.319 0.333 0.014 35.5% 0.161 6.7% 81.0% 83.3 10.70% 6.10% 28
Rick Porcello BOS 0.302 0.385 0.083 38.6% 0.193 16.7% 83.2% 90.7 17.90% 12.70% 56
Robert Gsellman NYM 0.302 0.367 0.065 51.6% 0.161 10.0% 85.5% 87.5 10.00% 6.00% 30
Tommy Milone MIL 0.302 0.390 0.088 34.9% 0.326 42.9% 89.1% 84.9 5.00% 3.90% 40
Trevor Bauer CLE 0.338 0.400 0.062 36.4% 0.333 20.0% 85.5% 89.9 10.00% 6.30% 30
Tyler Anderson COL 0.286 0.318 0.032 36.2% 0.277 23.5% 83.3% 87.1 8.90% 6.10% 45
Ubaldo Jimenez BAL 0.342 0.387 0.045 32.4% 0.294 15.4% 85.3% 88.1 5.90% 4.70% 34
Vince Velasquez PHI 0.289 0.438 0.149 31.6% 0.263 12.5% 77.4% 94.5 10.50% 4.50% 19
Zack Greinke ARI 0.298 0.346 0.048 47.2% 0.189 16.7% 85.0% 91.4 9.40% 6.90% 53


Those .400 BABIPs should be going away soon, but there are certainly some elevated numbers here.

Pitcher Notes & Summary

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Here we rank pitchers by value tiers with their overall rank in parenthesis next to the name for the top five to ten. These are not hard and rigid rankings. Everything is fluid and can change depending on ever evolving situations throughout the day. This is the more opinionated part. If there are questions, it’ll help show you where my imaginary boundaries are drawn.

Value Tier One

Clayton Kershaw (1) hasn’t had a typically dominant outing yet, but it’s coming. Maybe tonight. It’s a great spot for him at home.

Value Tier Two

Dallas Keuchel (3) has allowed just 11 fly balls and three line drives through three starts. This is as contact dominant a stretch that I can remember seeing a pitcher go through, never mind to start a season. It won’t continue at this rate, but he could be very good again and is still just under $10K.

Madison Bumgarner (2) perhaps gets over-rated due to post-season dominance, but he’s still a very good pitcher, even if he’s only throwing 91-92 mph. He should be in line for a strong one in Kansas City.

Robert Gsellman probably hasn’t retained too many supporters and I may not still be one either had I not actually watched both of his starts. I’d argue the stuff was actually much better in the second one despite eight runs. The issues were with the defense (not going away) and in pitch choices (especially location). The latter he can do something about. The ability is certainly still there and the cost remains low due to lack of results.

Value Tier Three

Chris Archer (4) is getting better results, but really isn’t doing much differently than last season. I’d suspect his lack of an elite strikeout rate is just a small sample against some tough offenses. He faces another one tonight, but Detroit will strike out a bit. Due to the tough matchup and other Aces on the board, I’d expect him to garner little attention tonight.

Jason Vargas costs nearly $3K less on DraftKings than on FanDuel. He’s off the board for $8.2K, but is intriguing enough with ground balls and strikeouts to use in an SP2 spot for just over $5K.

Trevor Bauer is not a name you’ll often find advocated here. We’re mostly sellers on his erratic arm, but he is not without talent and there may be a buying opportunity when the chips are down and most people are likely abandoning him. He costs $7.5K or less on either site and his underlying metrics through two starts are better than they’ve ever been.

Value Tier Four – These guys seem basically in line with their price tag. They are either barely usable and shouldn’t hurt you too much, but might not help you much either or have such a wide range of outcomes that you can’t see much benefit beyond the risk.

Masahiro Tanaka has struggled a bit with the strike zone in early starts, but should be able to get it turned around against a poor offense that has struck out in a quarter of PAs against RHP so far.

Amir Garrett may not go as deep in this game as he has in his first two. I’m not sure if I trust his new found control yet and that could mean an earlier exit, especially with Lorenzen and Iglesias both fresh from the opposite side. That said, he doesn’t have to do much for $4.8K on DraftKings.

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.