Advanced Stats - Pitching: Monday, May 8th

Editor’s Note: Alex Wood, not Brandon McCarthy, will start tonight for LA.

One of the most fun things for a baseball fan is watching a hot young prospect come up and either quickly set the league on fire like the late Jose Fernandez or more slowly grow into the star everyone believed he was destined to be. Often we become frustrated when they more than occasionally bust. It’s also fun seeing guys who were never supposed to be that big of a deal that blossom into studs (Corey Kluber, Dallas Keuchel, or Jacob deGrom). One of my favorites though, is a different sort of animal.

This is the pitcher who maybe was or wasn’t supposed to be something once upon a time, but it never happened and he’s either barely hanging on in a bullpen or on his last chance at the bottom of the rotation for a second division team. Myaybe he’s even in the minors or out of the league altogether, pitching in independent ball. Then, fairly suddenly, without expectation, the breakout happens!

The first few positive starts we often write off as some sort of crazy small sample thing. Then we see the improved peripherals and become less skeptical, though still cautious, but it just doesn’t stop. Eventually have to accept their stardom.

For daily fantasy players, the earlier we buy in and hitch our wagons to the ascending star, the more satisfying…if we’re right. A couple of years ago, it was Rich Hill. Last year, it was Danny Duffy and Drew Pomeranz. This year, we’re still early enough in the season where we’re catching these candidates at reasonable prices on their way up. They may not all end up All Stars, but a couple may end up in the $10K price range soon. Being early identifiers of guys like Trevor Cahill (pitching today) and maybe Jason Vargas or JC Ramirez is what makes this game so much fun.

Tomorrow, we’ll update league averages for this season. The rest of the week we’ll take a look at some of the biggest changes (if any) from last season. Where as in the past, I’ve been most interested in looking at risking strikeout and HR rates, this year, I’m looking for potential shifts in BABIP and GB/FB rates (#FlyBallRevolution) with a look into why that may be.

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+
Adam Conley MIA 7 4.48 5.27 39.1% 0.94 4.84 5.57 STL 103 59 128
Antonio Senzatela COL -1.3 4.64 6.33 47.9% 1.39 4.86 5.94 CHC 104 90 80
Blake Snell TAM 7.7 4.74 4.8 37.8% 0.96 4.68 4.26 KAN 54 40 60
Brandon McCarthy LOS -3.4 4.45 4.93 37.7% 0.89 4.21 4.22 PIT 85 84 83
Carlos Martinez STL -16.6 3.66 6.18 55.4% 0.94 3.95 3.54 MIA 81 87 105
Gio Gonzalez WAS -8.9 3.96 5.64 49.5% 1.02 4.16 5.34 BAL 87 84 90
Jacob deGrom NYM -4.7 3.23 6.28 44.7% 0.91 3.3 3.5 SFO 75 68 72
Jake Arrieta CHC 2.2 3.31 6.6 53.7% 1.39 3.76 3.68 COL 87 75 90
Kendall Graveman OAK -6.5 4.46 5.89 50.9% 0.93 4.18 5 ANA 75 89 100
Kevin Gausman BAL -4.3 3.97 5.76 44.3% 1.02 4.16 5.57 WAS 119 116 94
Marcus Stroman TOR -3.1 3.58 6.43 60.5% 1.03 3.41 3.6 CLE 92 120 61
Masahiro Tanaka NYY 7.3 3.66 6.44 48.9% 1.02 3.91 3.77 CIN 100 104 137
Matt Moore SFO 3.5 4.48 5.77 39.2% 0.91 4.99 5.18 NYM 66 100 121
Nathan Karns KAN 7.6 3.95 5.5 42.6% 0.96 4.14 2.6 TAM 116 103 89
Nick Martinez TEX -1.6 5.12 5.46 44.4% 0.91 6.66 4.71 SDG 72 83 61
Ricky Nolasco ANA -0.9 4.29 5.85 42.0% 0.93 4.54 4.16 OAK 117 103 121
Rookie Davis CIN 13.6 5.74 3.55 35.3% 1.02 6.48 6.01 NYY 102 130 138
Trevor Bauer CLE -10.8 4.2 5.97 44.1% 1.03 4.08 4.78 TOR 71 77 105
Trevor Cahill SDG 1.3 3.35 5.83 58.9% 0.91 3.68 2.81 TEX 81 97 86
Trevor Williams PIT -7.2 4.61 4. 37.5% 0.89 4.99 8.26 LOS 119 110 104


Carlos Martinez is one of many flawed high end pitchers tonight with flawed meaning there’s been one reason or another for caution in their season performance. For him, it’s been erratic walk and strikeout rates. Half of his walks came in one start though, but also, half of his strikeouts came in two. There are some more positives however. He’s had a double digit SwStr% in four of six starts and at least a 50% ground ball rate in each of his last three to push back up to exactly 50% for the season. The Marlins represent a favorable matchup. They additionally have a 90 sOPS+ vs GB pitchers, but are league average (99 sOPS+) vs power pitchers.

Jacob deGrom walked five for second time in four starts and failed to reach double digit strikeouts for the first time in four starts in his most recent in Atlanta. The walk thing is not a concern yet, as he’s walked two or fewer in his four remaining starts and has never had control issues before. He’s fifth in the majors in strikeout rate (31.6%) and third in swinging strike rate (15.7%), facing an offense that has shown virtually no power against RHP (5.9 HR/FB), though they do gain about 16% on overall offense vs power pitchers (106 sOPS+).

Jake Arrieta has allowed at least three runs in five straight starts and has gone beyond six innings just once, while pitching at reduced velocity. His six HRs allowed are more than one-third of the 16 he allowed last year, his most with the Cubs. The other side of that coin is that he’s failed to go at least 5.2 innings only once, has allowed more than three runs only twice, has the highest K-BB of his career (21.8%) and his last three starts have been up about a mph from his first three. Back to the unfortunate side again though, his GB rate has been below average in every start since his first (down over 10 points from last year) and his hard hit rate is league average (up six points), though is aEV is still a strong 84.6 mph. This has all resulted in a nearly 100 point BABIP increase. You would think fewer GBs might even help him in that respect, but the Cubs’ defense has not been as historically strong as last year. One reason might be Mr. Scwarber roaming around in the outfield, another is that they were historically good last year and that’s difficult (impossible?) to repeat. The Rockies at home are still an unfavorable matchup (19.7 HR/FB at home), but they’ve been bad enough that good pitchers are playable against them in Coors this year and he still is that, despite what the ERA says. They add just a 90 sOPS+ vs power pitchers.

Nathan Karns is coming off his best start of the season, striking out seven of 22 White Sox batters. Eighteen of his 26 strikeouts have come in his last three starts and he looks to be at the point we might be able to take advantage of his above average swing and miss stuff in the right situations. As always, a concern with him is that he doesn’t often go all the way through the order a third time, maxing out at six innings and 100 pitches this year. The odd thing has been the massive spike in ground ball rate (59%), which is more than 16 points above his career rate. That should help him against the Rays (15.2 HR/FB vs RHP) in a favorable park, where the strikeout rate should play up (25.9 K% vs RHP).

Trevor Cahill might have the most consistent strikeout rate on today’s slate (between 24 to 35% in every start). He’s had at least six in every start and only that few once with a 57.3 GB%. He’s not perfect (40 Hard%, 8.9 BB%), but the increased upside has made him incredibly DFS relevant. More curves (or knuckle-curves on Fangraphs), thrown a quarter of the time, getting whiffs a quarter of the time, seems to have made a significant difference. He’s getting ahead (career high 64.5 F-Strike%), getting batters to take strikes (career low 55.4 Swing%) and swing at balls (career high 34.8 O-Swing%, career low 52.8 O-Contact%). He gets an average at best Texas offense (23.4 K% vs RHP) minus a DH in a great home park. Additionally Texas has a second worst 71 sOPS+ against GB pitchers.

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)

Blake Snell (.261 – 70.8% – 11.4) has been un-responsible (responsible?) for six unearned runs, 33% of his season run total. I should start baking that into quoted numbers. He has, by far, the top matchup on the board, but is rocking the 15% walk rate, which is basically never playable. He hasn’t gone past the fifth inning since his first start and has seen both K% and SwStr% drop below league average this year.

Gio Gonzalez (.257 – 92.2% – 10.8) is generating some favorable contact (0.9 Hard-Soft%, 83.6 mph aEV), but makes up for it with an 11.4 BB% with at least three in each of his last four starts and then seven his last time out. Baltimore is a favorable matchup vs LHP (26.3 K%), but he’s just under $9K in a tough park.

Antonio Senzatela (.233 – 79.7% – 10.3) is probably in the worst spot on the board with his 5.1 SwStr%. The Cubs did go 18 innings last night, but that still doesn’t boost him enough.

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

Masahiro Tanaka has pitched into the seventh inning in four straight starts, but perhaps part of what allows him to do that is a 17.0 K%. Though, with a 12.1 SwStr%, that’s probably not so much the case. It means he’s often getting to strike two, but not putting enough hitters away. The strikeouts should increase, but he hasn’t exceeded six in a game this year, while allowing five HRs. Cincinnati is similar to Yankee Stadium in its’ power friendliness. The 53.5 GB% should help mitigate some of that, but Tanaka has a career 14.1 HR/FB. Cincinnati is one of the hottest offenses on the slate. There may not be enough strikeouts here for a price tag in excess of $9K. He’s the most difficult cut today, but appears clearly behind the value potential of the pitchers we’re using.

Marcus Stroman has one-third of his season strikeouts in one start and left his last one with an arm issue after three innings. His ground ball rate has exceeded 55% in every start, but the Tribe is a tough enough opponent for healthy RHPs. The offense goes up 23% to a 120 sOPS+ when facing ground ball pitchers.

Brandon McCarthy had a nice paragraph on Saturday morning before I realized he had been pushed back until Sunday due to a shoulder issue. Then his start was rained out Sunday. He just missed out on the wish list that day against the Padres. Although the competition bump isn’t much at home against the Pirates here, the top of the board is much stronger today. As written on Saturday:

“His ERA is low due to an 81.2% strand rate, but his estimators are just okay. His strikeout rate is just above average, but his SwStr% just below it. The one area where he has excelled is contact management with a low hard hit rate, aEV, and Barrels rates… This is all fine, though not especially desirable, if he costs around $8K, which he does, on FanDuel. His $9.4K price tag on DraftKings is just too high.”

His cost remains the same on FanDuel, but has dropped $800 on DraftKings, still probably too high, especially for a guy who was pushed back due to a potential shoulder issue and has a history of them throughout his career. I’d probably use several pitchers from this list, along with those below before him, including those just above him and possibly even Blake Snell.

Kendall Graveman is not has seen his velocity drop each start to where he now doesn’t sit much higher than last season and throwing just the one pitch harder nearly 90% of the time has resulted in more hard contact (below 33% just once) in the air (ground ball rate above 33% just once) more often without a substantial increase in strikeouts. He gets a small bump if Mike Trout remains out, though that probably only moves him up a couple of spots on this list. The upside is still lacking and the Angels may strike out less with Revere over Trout.

Trevor Bauer is better than his ERA, but his SwStr% probably doesn’t support a K% much above average. His 14.1% Barrels/BBE also suggests that his FIP may be more accurate than his lower SIERA and xFIP. This is an instance where I find a 4.59 DRA makes some sense.

Ricky Nolasco is one of our Barrel Kings today, as he’s missing bats at nearly a league average rate (good), but has allowed a slate high 10.8% Barrels/PA. This Oakland lineup has been striking out more (24.1% vs RHP), but are no slouches (20.7 Hard-Soft% vs RHP, 31.5% over the last week).

Adam Conley is a double digit walk machine with enough to strike out batters at a league average or better rate if he could throw enough strikes. The Cardinals are poor against LHP (22.8 K%, 5.8 HR/FB), but they do have a 120 sOPS+ vs fly ball pitchers (Baseball-Reference). Despite possibly the best BABIP profile on the board, this just doesn’t appear to work out often enough for him to be worth the cost.

Kevin Gausman was ejected for hitting a Boston batter with a curveball in his last start. The umpire may have done the Orioles a favor.

Matt Moore is one of today’s three Barrel Kings. That’s not a good thing (91.6 mph aEV, 9.9% Barrels/PA, 28.5 Hard-Soft%). The Mets have struck out just 12.8% of the time over the last week with a 22.1 Hard-Soft%. Offense hasn’t recently been the problem, aside from Sunday.

Nick Martinez

Trevor Williams had a single digit K-BB% since 2015 at AAA and was the 15th rated prospect in the system via Fangraphs this season with a 40 FV (Future Value) grade. He was called a lead-armed sinkerballer who made too many mistakes. While that’s generated lots of ground balls in the minors, it’s translated to just 27.8% in 24.1 major league innings. He appears not to have the swing and miss stuff to come back from those mistakes either. Twelve of his 13 major league appearances (and all six this year) have come in relief, though he’s gone at least two innings four times this season. The Dodgers punish mediocre RHP.

Rookie Davis mocked me by going five shutout innings after I called him “Minor League” Davis his last time out. He still walked more batters than he struck out and is rewarded with an assignment against the Yankees. The fact that the Yankees went 18 innings last night doesn’t help him enough, though it may be sufficient reason to fade some of their bats.

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%
Adam Conley Marlins L2 Years 20.9% 9.8% Home 19.9% 10.7% L14 Days 18.0% 15.4%
Antonio Senzatela Rockies L2 Years 13.3% 5.3% Home 11.4% 5.1% L14 Days 5.8% 7.7%
Blake Snell Rays L2 Years 23.1% 13.3% Home 25.3% 15.0% L14 Days 25.5% 12.8%
Brandon McCarthy Dodgers L2 Years 24.0% 12.2% Home 25.6% 12.5% L14 Days 17.7% 3.9%
Carlos Martinez Cardinals L2 Years 23.3% 8.4% Road 23.6% 12.0% L14 Days 21.8% 7.3%
Gio Gonzalez Nationals L2 Years 22.2% 8.6% Road 20.0% 7.8% L14 Days 25.0% 19.2%
Jacob deGrom Mets L2 Years 26.9% 6.1% Home 29.5% 8.4% L14 Days 31.5% 11.1%
Jake Arrieta Cubs L2 Years 25.9% 7.4% Road 21.1% 7.5% L14 Days 25.0% 8.3%
Kendall Graveman Athletics L2 Years 15.0% 6.5% Home 14.7% 5.9% L14 Days 17.1% 9.8%
Kevin Gausman Orioles L2 Years 21.4% 6.7% Home 19.9% 7.0% L14 Days 11.9% 10.2%
Marcus Stroman Blue Jays L2 Years 19.1% 6.3% Home 18.5% 6.0% L14 Days 21.5% 7.6%
Masahiro Tanaka Yankees L2 Years 20.7% 4.5% Road 17.6% 5.1% L14 Days 12.7% 0.0%
Matt Moore Giants L2 Years 19.9% 8.6% Road 19.0% 10.7% L14 Days 23.9% 17.4%
Nathan Karns Royals L2 Years 23.8% 9.2% Road 24.9% 11.4% L14 Days 25.5% 2.1%
Nick Martinez Rangers L2 Years 13.2% 8.9% Road 7.9% 11.4% L14 Days 14.0% 6.0%
Ricky Nolasco Angels L2 Years 18.4% 5.5% Road 18.0% 6.2% L14 Days 22.2% 8.9%
Rookie Davis Reds L2 Years 14.5% 13.2% Home 15.4% 12.8% L14 Days 9.5% 9.5%
Trevor Bauer Indians L2 Years 21.9% 9.3% Road 21.4% 8.8% L14 Days 22.9% 14.6%
Trevor Cahill Padres L2 Years 25.9% 10.4% Home 25.1% 11.4% L14 Days 32.0% 8.0%
Trevor Williams Pirates L2 Years 18.4% 10.5% Road 17.0% 9.4% L14 Days 6.1% 21.2%

K/BB Chart – Opponent

Opponent Split K% BB% Split K% BB% Split K% BB%
Cardinals Road 20.9% 7.5% LH 22.8% 7.8% L7Days 22.0% 9.8%
Cubs Road 22.3% 10.1% RH 22.3% 8.9% L7Days 19.6% 11.1%
Royals Road 23.6% 6.7% LH 23.1% 7.5% L7Days 19.7% 8.4%
Pirates Road 17.5% 9.6% RH 17.7% 8.8% L7Days 20.2% 10.3%
Marlins Home 21.9% 7.7% RH 20.4% 5.9% L7Days 18.9% 7.1%
Orioles Home 18.8% 7.8% LH 26.3% 7.5% L7Days 21.4% 5.6%
Giants Road 20.3% 7.7% RH 19.9% 6.9% L7Days 21.6% 7.9%
Rockies Home 19.9% 6.5% RH 21.7% 7.7% L7Days 23.6% 4.3%
Angels Road 22.3% 8.4% RH 21.1% 7.3% L7Days 19.6% 8.5%
Nationals Road 20.0% 10.6% RH 19.7% 10.4% L7Days 23.7% 11.2%
Indians Road 19.4% 9.5% RH 22.0% 9.3% L7Days 22.5% 9.2%
Reds Home 21.6% 8.4% RH 20.3% 8.7% L7Days 21.0% 10.5%
Mets Home 19.2% 9.6% LH 18.3% 9.1% L7Days 12.8% 11.1%
Rays Home 24.0% 10.0% RH 25.9% 9.6% L7Days 26.5% 14.3%
Padres Home 23.7% 9.8% RH 26.0% 7.7% L7Days 25.1% 12.6%
Athletics Home 23.5% 8.4% RH 24.1% 9.5% L7Days 21.3% 9.8%
Yankees Road 21.6% 9.5% RH 21.5% 10.0% L7Days 23.6% 9.8%
Blue Jays Home 23.7% 7.0% RH 22.5% 7.2% L7Days 21.4% 6.8%
Rangers Road 24.2% 8.1% RH 23.4% 8.5% L7Days 29.5% 8.1%
Dodgers Home 20.1% 9.7% RH 20.9% 10.0% L7Days 22.5% 11.0%

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%
Adam Conley Marlins L2 Years 28.9% 9.1% 8.2% 2017 34.6% 12.5% 15.4% Home 33.6% 7.4% 11.3% L14 Days 36.0% 20.0% 16.0%
Antonio Senzatela Rockies L2 Years 24.2% 10.3% 8.4% 2017 24.2% 10.3% 8.4% Home 25.0% 13.6% 9.4% L14 Days 18.2% 12.5% 0.0%
Blake Snell Rays L2 Years 31.7% 7.2% 10.2% 2017 32.6% 11.4% 13.0% Home 32.8% 8.2% 7.2% L14 Days 34.5% 10.0% 13.8%
Brandon McCarthy Dodgers L2 Years 32.0% 7.9% 10.4% 2017 26.8% 11.1% 3.6% Home 36.5% 10.5% 15.9% L14 Days 32.5% 13.3% 7.5%
Carlos Martinez Cardinals L2 Years 29.0% 10.0% 8.5% 2017 31.3% 14.3% 9.1% Road 33.5% 6.8% 14.8% L14 Days 23.1% 11.1% 2.6%
Gio Gonzalez Nationals L2 Years 31.4% 9.7% 12.0% 2017 27.6% 10.8% 0.9% Road 31.9% 10.8% 10.7% L14 Days 20.7% 20.0% -10.3%
Jacob deGrom Mets L2 Years 29.8% 10.7% 10.4% 2017 36.7% 13.3% 16.7% Home 29.1% 10.1% 7.9% L14 Days 48.4% 16.7% 38.7%
Jake Arrieta Cubs L2 Years 24.6% 10.6% 1.8% 2017 31.3% 17.6% 5.3% Road 29.3% 14.9% 6.1% L14 Days 37.5% 11.1% 15.6%
Kendall Graveman Athletics L2 Years 28.9% 13.0% 12.1% 2017 36.6% 12.5% 17.1% Home 28.1% 10.2% 10.0% L14 Days 36.7% 7.7% 3.4%
Kevin Gausman Orioles L2 Years 29.8% 14.8% 9.5% 2017 30.4% 15.0% 8.1% Home 28.4% 13.3% 6.4% L14 Days 37.8% 29.4% 20.0%
Marcus Stroman Blue Jays L2 Years 30.7% 16.3% 11.4% 2017 30.8% 16.0% 9.1% Home 32.1% 13.3% 13.1% L14 Days 27.3% 18.8% 1.8%
Masahiro Tanaka Yankees L2 Years 31.6% 14.6% 12.8% 2017 30.4% 14.3% 9.5% Road 30.1% 10.1% 8.8% L14 Days 37.5% 14.3% 12.5%
Matt Moore Giants L2 Years 32.3% 11.4% 15.8% 2017 41.3% 17.1% 28.5% Road 31.3% 12.9% 17.9% L14 Days 40.7% 20.0% 22.2%
Nathan Karns Royals L2 Years 32.2% 13.1% 12.1% 2017 28.6% 24.0% 3.6% Road 37.4% 19.0% 17.6% L14 Days 29.4% 11.1% -3.0%
Nick Martinez Rangers L2 Years 30.0% 15.9% 13.9% 2017 22.6% 21.7% -3.2% Road 29.4% 13.2% 13.8% L14 Days 27.5% 33.3% 0.0%
Ricky Nolasco Angels L2 Years 33.8% 12.1% 18.6% 2017 35.6% 18.4% 19.2% Road 39.7% 14.6% 26.7% L14 Days 38.7% 15.4% 32.2%
Rookie Davis Reds L2 Years 30.2% 15.0% 15.1% 2017 30.2% 15.0% 15.1% Home 30.8% 15.4% 11.6% L14 Days 34.4% 8.3% 21.9%
Trevor Bauer Indians L2 Years 32.6% 12.7% 13.6% 2017 41.0% 20.0% 25.6% Road 32.4% 7.4% 12.0% L14 Days 56.7% 27.3% 46.7%
Trevor Cahill Padres L2 Years 33.1% 16.9% 10.8% 2017 40.0% 10.5% 20.0% Home 22.0% 14.3% 1.8% L14 Days 46.7% 0.0% 26.7%
Trevor Williams Pirates L2 Years 28.4% 18.8% 7.4% 2017 25.0% 10.5% 0.0% Road 28.2% 33.3% 5.1% L14 Days 20.8% 7.1% -8.4%

Batted Ball Charts – Opponent

Opponent Split Hard% HR/FB% Hd-St% Split Hard% HR/FB% Hd-St% Split Hard% HR/FB% Hd-St%
Cardinals Road 33.2% 13.6% 16.3% LH 31.5% 5.8% 18.4% L7Days 27.0% 16.4% 5.6%
Cubs Road 30.3% 12.0% 11.2% RH 28.6% 10.4% 11.7% L7Days 24.8% 11.4% 7.0%
Royals Road 27.4% 12.4% 3.6% LH 24.9% 4.6% 0.5% L7Days 30.8% 4.6% 12.5%
Pirates Road 30.2% 9.3% 10.6% RH 29.1% 7.6% 8.1% L7Days 30.7% 11.5% 10.0%
Marlins Home 30.4% 12.9% 8.3% RH 29.6% 12.3% 9.2% L7Days 30.2% 10.6% 7.9%
Orioles Home 25.5% 9.7% 6.3% LH 32.4% 10.3% 14.1% L7Days 28.5% 9.0% 4.7%
Giants Road 30.1% 8.9% 11.4% RH 25.8% 5.9% 6.1% L7Days 27.7% 5.4% 7.6%
Rockies Home 31.0% 19.7% 11.9% RH 30.7% 13.6% 10.0% L7Days 29.3% 20.9% 11.3%
Angels Road 30.5% 9.5% 10.8% RH 28.3% 12.4% 7.1% L7Days 29.3% 13.0% 13.7%
Nationals Road 30.5% 15.6% 13.5% RH 31.4% 14.6% 15.6% L7Days 36.0% 11.9% 19.3%
Indians Road 36.8% 9.4% 17.8% RH 35.2% 13.7% 18.2% L7Days 34.5% 5.7% 13.5%
Reds Home 28.8% 14.5% 7.7% RH 29.6% 12.6% 7.8% L7Days 27.4% 15.9% 6.4%
Mets Home 29.9% 8.5% 9.3% LH 34.6% 14.3% 15.2% L7Days 42.4% 10.4% 22.1%
Rays Home 34.4% 14.4% 14.2% RH 33.0% 15.2% 13.2% L7Days 30.8% 13.1% 9.4%
Padres Home 25.5% 13.0% 2.6% RH 29.0% 17.3% 7.4% L7Days 23.5% 10.8% 0.0%
Athletics Home 33.9% 16.0% 19.9% RH 36.5% 13.7% 20.7% L7Days 43.2% 11.1% 31.5%
Yankees Road 29.4% 11.1% 9.9% RH 30.2% 17.6% 8.7% L7Days 26.0% 20.8% 5.6%
Blue Jays Home 29.0% 8.7% 8.1% RH 31.0% 12.1% 9.6% L7Days 34.4% 21.6% 16.6%
Rangers Road 27.8% 13.3% 8.3% RH 33.3% 16.7% 14.8% L7Days 29.8% 19.4% 12.5%
Dodgers Home 36.6% 14.6% 25.0% RH 33.5% 14.3% 18.4% L7Days 31.8% 10.3% 19.4%

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%
Adam Conley MIA 18.6% 11.1% 1.68 18.6% 11.1% 1.68
Antonio Senzatela COL 13.3% 5.5% 2.42 10.7% 5.1% 2.10
Blake Snell TAM 19.3% 8.9% 2.17 19.6% 9.4% 2.09
Brandon McCarthy LOS 21.6% 8.4% 2.57 22.6% 8.6% 2.63
Carlos Martinez STL 27.0% 11.8% 2.29 25.0% 10.2% 2.45
Gio Gonzalez WAS 21.5% 10.1% 2.13 20.3% 10.1% 2.01
Jacob deGrom NYM 31.6% 15.7% 2.01 32.1% 16.9% 1.90
Jake Arrieta CHC 27.9% 11.1% 2.51 28.7% 11.0% 2.61
Kendall Graveman OAK 17.1% 6.8% 2.51 13.8% 5.3% 2.60
Kevin Gausman BAL 13.2% 8.8% 1.50 12.6% 9.5% 1.33
Marcus Stroman TOR 18.6% 8.7% 2.14 18.3% 8.7% 2.10
Masahiro Tanaka NYY 17.0% 12.1% 1.40 17.0% 11.3% 1.50
Matt Moore SFO 18.4% 8.7% 2.11 20.0% 8.4% 2.38
Nathan Karns KAN 21.5% 10.9% 1.97 20.9% 11.3% 1.85
Nick Martinez TEX 13.2% 6.5% 2.03 13.2% 6.5% 2.03
Ricky Nolasco ANA 19.4% 9.3% 2.09 20.2% 9.4% 2.15
Rookie Davis CIN 14.5% 7.6% 1.91 11.7% 7.4% 1.58
Trevor Bauer CLE 25.6% 9.0% 2.84 25.6% 9.0% 2.84
Trevor Cahill SDG 29.8% 13.3% 2.24 30.6% 13.1% 2.34
Trevor Williams PIT 18.9% 9.3% 2.03 18.9% 9.3% 2.03


Adam Conley could be interesting if he stopped walking people.

Kevin Gausman has a lot of problems and doesn’t even have a league average SwStr% this year.

Masahiro Tanaka has always run on the low end of K/SwStr, but has usually at least been at the bottom of an acceptable range. I expect some improvement in K%.

Trevor Bauer can not, nor ever has supported a 25.6 K%. His SwStr rate was 9.0% last year, it’s 9.0% this year, it’s 9.0% for his career.

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
Adam Conley MIA 6.12 4.94 -1.18 5.15 -0.97 5.12 -1 7.32 1.20 6.12 4.94 -1.18 5.15 -0.97 5.12 -1
Antonio Senzatela COL 2.84 4.64 1.8 4.55 1.71 4.22 1.38 6.70 3.86 3.27 4.77 1.5 4.63 1.36 4.4 1.13
Blake Snell TAM 3.45 5.35 1.9 5.17 1.72 4.98 1.53 5.78 2.33 2.92 5.14 2.22 4.94 2.02 4.78 1.86
Brandon McCarthy LOS 3.1 4.04 0.94 3.78 0.68 3.59 0.49 3.66 0.56 3.13 4.01 0.88 3.69 0.56 3.38 0.25
Carlos Martinez STL 3.75 3.53 -0.22 3.35 -0.4 3.51 -0.24 2.02 -1.73 4.71 3.96 -0.75 3.78 -0.93 4.33 -0.38
Gio Gonzalez WAS 1.64 4.51 2.87 4.35 2.71 4.11 2.47 3.36 1.72 1.95 4.79 2.84 4.73 2.78 4.55 2.6
Jacob deGrom NYM 3.68 3.28 -0.4 3.03 -0.65 3.09 -0.59 2.20 -1.48 4.4 3.37 -1.03 3.16 -1.24 3.39 -1.01
Jake Arrieta CHC 4.63 3.17 -1.46 3.16 -1.47 3.78 -0.85 3.35 -1.28 5.59 3.07 -2.52 3 -2.59 4.04 -1.55
Kendall Graveman OAK 3.95 4.67 0.72 4.68 0.73 4.65 0.7 2.52 -1.43 4.22 5.1 0.88 5.13 0.91 4.86 0.64
Kevin Gausman BAL 7.55 5.63 -1.92 5.82 -1.73 6.2 -1.35 8.95 1.40 8.42 5.58 -2.84 5.79 -2.63 6.7 -1.72
Marcus Stroman TOR 3.89 3.55 -0.34 3.4 -0.49 3.67 -0.22 5.34 1.45 4.36 3.6 -0.76 3.54 -0.82 3.91 -0.45
Masahiro Tanaka NYY 4.46 4.18 -0.28 4.19 -0.27 4.38 -0.08 3.40 -1.06 2.94 4.04 1.1 4.08 1.14 3.72 0.78
Matt Moore SFO 6.75 4.6 -2.15 4.74 -2.01 5.44 -1.31 9.50 2.75 7.07 4.5 -2.57 4.65 -2.42 5.89 -1.18
Nathan Karns KAN 4.97 3.8 -1.17 3.81 -1.16 5.07 0.1 4.07 -0.90 3.81 3.69 -0.12 3.7 -0.11 5.05 1.24
Nick Martinez TEX 4.91 4.7 -0.21 4.68 -0.23 6.14 1.23 7.38 2.47 4.91 4.71 -0.2 4.68 -0.23 6.14 1.23
Ricky Nolasco ANA 4.68 4.18 -0.5 4.51 -0.17 5.61 0.93 7.95 3.27 4.67 3.98 -0.69 4.28 -0.39 5.26 0.59
Rookie Davis CIN 7.36 5.73 -1.63 6.04 -1.32 6.44 -0.92 8.90 1.54 6.17 6.12 -0.05 6.28 0.11 5.26 -0.91
Trevor Bauer CLE 7.67 3.89 -3.78 3.91 -3.76 4.96 -2.71 4.59 -3.08 7.67 3.89 -3.78 3.91 -3.76 4.96 -2.71
Trevor Cahill SDG 3.6 3.05 -0.55 2.82 -0.78 2.64 -0.96 2.24 -1.36 3.7 2.82 -0.88 2.51 -1.19 2.09 -1.61
Trevor Williams PIT 5.4 5.04 -0.36 5.82 0.42 5.35 -0.05 4.69 -0.71 5.4 5.04 -0.36 5.82 0.42 5.35 -0.05


Trevor Bauer and Matt Moore have generated such hard contact that perhaps their estimators don’t tell the full story or at least their non-FIP ones might not.

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
Adam Conley FLA 0.265 0.257 -0.008 40.0% 0.173 15.6% 83.6% 84.9 6.40% 4.40% 78
Antonio Senzatela COL 0.279 0.233 -0.046 47.9% 0.193 7.7% 94.4% 86.2 6.70% 5.30% 120
Blake Snell TAM 0.270 0.261 -0.009 41.1% 0.2 17.1% 85.5% 86.4 5.40% 3.60% 92
Brandon McCarthy LOS 0.295 0.291 -0.004 41.3% 0.25 11.1% 89.4% 85.3 3.70% 2.60% 82
Carlos Martinez STL 0.309 0.295 -0.014 50.0% 0.214 14.3% 85.9% 86.6 5.10% 3.10% 99
Gio Gonzalez WAS 0.286 0.257 -0.029 44.6% 0.188 5.4% 84.6% 83.6 4.80% 3.20% 105
Jacob deGrom NYM 0.321 0.349 0.028 41.1% 0.256 6.7% 73.4% 88.3 4.40% 2.60% 90
Jake Arrieta CHC 0.289 0.333 0.044 41.7% 0.229 8.8% 78.7% 84.6 6.30% 4.10% 96
Kendall Graveman OAK 0.277 0.256 -0.021 40.2% 0.207 9.4% 88.2% 89.6 9.80% 7.20% 82
Kevin Gausman BAL 0.291 0.340 0.049 43.6% 0.2 12.5% 83.2% 87.7 8.90% 6.60% 112
Marcus Stroman TOR 0.300 0.336 0.036 60.5% 0.185 8.0% 88.6% 88.1 7.50% 5.60% 120
Masahiro Tanaka NYY 0.275 0.282 0.007 53.5% 0.158 11.4% 87.4% 89.1 8.70% 6.50% 115
Matt Moore SFO 0.304 0.304 0 44.4% 0.176 2.4% 88.4% 91.6 13.80% 9.90% 109
Nathan Karns KAN 0.279 0.244 -0.035 59.0% 0.108 0.0% 87.1% 86.3 9.50% 6.60% 84
Nick Martinez TEX 0.281 0.228 -0.053 48.4% 0.145 17.4% 88.0% 86.1 9.70% 7.90% 62
Ricky Nolasco ANA 0.289 0.302 0.013 35.9% 0.165 10.2% 87.1% 90.4 14.40% 10.80% 104
Rookie Davis CIN 0.263 0.373 0.11 35.3% 0.255 10.0% 85.0% 83.1 3.80% 2.60% 53
Trevor Bauer CLE 0.309 0.347 0.038 39.5% 0.211 13.3% 84.7% 90.1 14.10% 9.10% 78
Trevor Cahill SDG 0.290 0.301 0.011 57.3% 0.173 0.0% 85.6% 88 5.30% 3.20% 75
Trevor Williams PIT 0.295 0.294 -0.001 27.8% 0.194 15.8% 83.9% 86.5 2.80% 1.90% 36


Only one pitcher is more than 53 points removed from his team’s BABIP and we don’t expect him to be around long.

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

Trevor Cahill (2) is up above $7K now, but still has given us value much beyond that and seems to have just above everything in his favor in this matchup. It’s a great spot when a pitcher can allow a few runs and still give you great value.

Value Tier Two

Jacob deGrom (1) is coming off his worst start of the season. He walked five, got nobody to chase (18.9 O-Swing%) and 47.1% of his batted balls were line drives. Yet, he still has a 21.3 K-BB% on the season and goes home to face another poor offense in a great park. He’s the most expensive pitcher on the board by at least $1K on either site, but still less than $11K.

Value Tier Three

Nathan Karns (4t) is suddenly a ground ball pitcher. While surprising, especially after moving to Kansas City, that’s never a bad thing and should help him against a powerful Tampa Bay lineup. While it’s more of a neutral overall matchup, it plays up for strikeouts, which has conveniently been one of his strengths. Even just six innings could get him decently past $7K here.

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.

Carlos Martinez (3) has been inconsistent and is the second most expensive pitcher on either site, but he’s not in a bad spot against the Marlins and has gotten his ground ball groove back, which should make him a bit more comfortable on those days when he doesn’t have that double digit strikeout stuff, as happened last time out.

Jake Arrieta (4t) may actually be a better fantasy pitcher than last season despite what his ERA says. The Coors price reduction may be too significant this year, considering the home team’s offensive performance.

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.