Advanced Stats - Pitching: Tuesday, June 21st

Last night was ruined for many with a Strasburg scratch after every other game had locked, but perhaps the DFS Gods are making it up to us with another great board today (six double digit pitchers), though we’ll probably end up paying dearly for this gluttony of talented arms at some point this week. No need to look forward yet though, let’s just enjoy what we have on Tuesday.

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+.

Editor’s Note: Bartolo Colon will now start instead of Syndergaard against the Royals tonight.

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 Nola PHI -1 3.33 6. 1.78 1.03 3.28 4.12 MIN 91 88 84
Adam Wainwright STL -7.1 3.97 6.56 1.65 1.03 4.11 3.03 CHC 109 108 142
Anthony DeSclafani CIN -4.7 4.14 5.71 1.34 1.07 4.51 6.38 TEX 99 91 104
Blake Snell TAM -4 4.21 4.05 1.5 1.03 3.64 4.91 CLE 125 95 136
Bud Norris ATL 3.2 4.02 5.24 1.31 1 4.85 2.55 FLA 89 98 115
Chad Bettis COL 2.5 4.13 5.68 1.8 1.02 4.34 2.67 NYY 99 87 102
Chris Sale CHW 2.6 2.8 6.8 1.07 1.07 2.86 3.16 BOS 118 116 93
Clay Buchholz BOS 4.6 3.92 6.31 1.35 1.07 4.21 3.83 CHW 85 84 83
Colby Lewis TEX 10.9 4.36 6.32 0.78 1.07 4.7 4.89 CIN 80 81 55
Collin McHugh HOU 2.1 3.7 6.17 1.31 1.01 3.8 3.42 ANA 98 98 117
Corey Kluber CLE 10.8 2.89 6.99 1.35 1.03 3.42 3.12 TAM 114 94 82
Hector Santiago ANA 1 4.48 5.27 0.64 1.01 5.02 4.52 HOU 100 97 135
Ian Kennedy KAN 4.5 3.81 5.82 0.93 0.87 4.53 5.15 NYM 92 98 94
Ivan Nova NYY 0 4.26 5.6 1.78 1.02 4.63 4.12 COL 87 96 109
James Paxton SEA -4.5 4.08 5.39 1.78 1.01 3.94 3.06 DET 115 102 122
Jason Hammel CHC 9.8 3.7 5.59 1.05 1.03 3.91 3.88 STL 117 119 77
Jimmy Nelson MIL -5.5 4.16 5.89 1.64 0.95 4.85 5.32 OAK 80 82 45
Johnny Cueto SFO 7 3.62 6.92 1.3 0.95 3.7 2.25 PIT 116 105 72
Jose Fernandez FLA 1.4 2.62 6.05 1.22 1 2.34 2.12 ATL 75 78 113
Justin Verlander DET -7 3.77 6.55 0.82 1.01 4.11 3.63 SEA 110 117 112
Luis Perdomo SDG -5.7 4.25 4.03 2.69 1.04 3.73 2.72 BAL 108 114 114
Marco Estrada TOR 5.4 4.41 6.23 0.65 1.02 4.8 4.06 ARI 103 90 105
Noah Syndergaard NYM -4.8 2.75 6.32 1.57 0.87 2.33 2.97 KAN 88 95 135
Patrick Corbin ARI -6.5 3.83 5.67 1.71 1.02 3.64 4.01 TOR 111 98 170
Scott Kazmir LOS -0.9 4 5.74 1.08 0.9 3.86 4.85 WAS 100 114 76
Sonny Gray OAK -12.3 3.86 6.46 1.88 0.95 4.05 4.34 MIL 84 91 84
Tanner Roark WAS 6.6 4.1 6.07 1.41 0.9 4.02 3.75 LOS 92 93 121
Tyler Duffey MIN -5.9 3.89 5.71 1.64 1.03 3.7 4.89 PHI 77 71 27
Tyler Wilson BAL -4.5 4.9 5.6 1.5 1.04 4.96 4.93 SDG 84 75 114
Wilfredo Boscan PIT 1.7 5.18 1.29 0.95 5.43 SFO 90 102 116


Aaron Nola was thrashed for eight runs in three innings by a red hot Toronto lineup after being hyped up in this space last week. Interestingly, he did strike out five of 20 batters and only allowed six of 11 batted balls off the ground, but two of them left the yard and he walked three. He still remains top 10 in the majors in K-BB (21% – 10th), GB rate (54.5% – eighth), and weak contact (25.6% – fourth). He finally adds a favorable matchup to all that. The Twins have a 14.7 K-BB% vs RHP.

Chad Bettis has had road starts in Arizona twice, St Louis, and Boston of his eight this year, so of course he’s not fared much better than away from home, but a 51.0 GB% and low walk rate (5.5%) has kept his ERA estimators not too much higher than league average despite the low strikeout rate, though his SwStr% has been trending up over the last month. The long ball is a concern in Yankee Stadium for a pitcher with a 16.6 Hard-Soft% and 17.1 HR/FB, but it can’t treat him much worse than Coors where he just pitched well against this same offense (6 IP – 2 ER – 0 BB – 5 K).

Chris Sale didn’t pitch poorly against Detroit in his last start, allowing three runs in seven innings, but striking out at least seven for the fifth time in six starts. While some may see an increasing ERA, I’m more focused on a SwStr rate above 11% in three of his last four starts, though a hard contact rate above 30% in each of those outings is not really optimal. Unfortunately, he travels to Boston for tonight’s worst possible matchup, but should not be entirely written off.

Collin McHugh is coming off a masterpiece in St Louis (6.2 IP – 1 ER – 2 BB – 6 K) and aside from a .359 BABIP with no basis in his batted ball or contact numbers, he’s been pitching quite well lately, striking out at least six in five of his last six starts. His 15.8 K-BB% is well above average and his hard contact rate is below 30%. The Angels are an average matchup, but have the lowest strikeout rate in the league (15.8% vs RHP).

Corey Kluber allowed eight runs in Kansas City last time out and always seems to struggle when he falls on our days, but still struck out seven of 27 batters and wasn’t a complete washout. While his run of starts with at least six runs was interrupted, it was his seventh straight start and 12 in 14 with at least six strikeouts. Most of his rates look to be close enough to career rates with estimators about a quarter of a run higher despite a high ERA, which he’s dealt with before. He faces a Tampa Bay offense with power (16.9 HR/FB on the road, 15.3 HR/FB vs RHP), but they also have a 25.1 K% vs RHP.

James Paxton has an elite 23.0 K-BB% through four starts, throwing harder than every starter not named Syndergaard. Unfortunately, the contact that is being made is generally hit very hard (26.6 LD%, 17.6 HR/FB, 7.7 Soft%), though half of his 14 runs have been unearned and his .403 BABIP not much affecting his ERA. The strikeouts are the most important thing. He faces a tough right-handed Detroit lineup, which hurts his usability a little bit today.

Jose Fernandez is one of tonight’s top two pitchers in one of tonight’s better matchups, but Atlanta has looked like a real offense recently. Not that a 113 wRC+ over the last week should in any way stop us here, but they might only be a great matchup and not the absolute best spot tonight. A 29.5 K-BB% for Fernandez is second best in baseball and he hasn’t walked a batter in three starts to get his walk rate down to 7.9% for the season. His 15.0 SwStr% is third best in the majors.

Editor’s Note: Bartolo Colon will now start instead of Syndergaard against the Royals tonight.

Noah Syndergaard started his rampage in the second game of the season, striking out nine of 23 Royals in Kansas City and this is still an offense with below average power than doesn’t take walks, but now they strike out at a league average rate as well. He has a 28.3 K-BB% that’s third best in baseball with the second best SwStr% (15.1), but adds a top 15 GB rate (53.4%) and 7.5 Hard-Soft%.

Tyler Duffey is where some will stop reading today. Enough with him already. The peripherals look great or are actually league average now (13.7 K-BB%) with three walks and just five strikeouts over his last 50 batters, but he’s got tonight’s top matchup against the Phillies (16.0 K-BB%, 26.3 Hard% vs RHP).

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 – 72.2 LOB% – 12.7 HR/FB)

Johnny Cueto (.282 BABIP – 78.8 LOB% – 3.9 HR/FB) is doing it with HR suppression this year, which might work in San Francisco, but not to this level and he’s not in San Francisco tonight. Pittsburgh will suppress RH power to maybe even a greater level, but with a strikeout rate not much above average, you’re paying a lot for a lack of HRs against an offense that isn’t that bad, though cold (25.9 K-BB% last seven days). This is the most difficult cut today. If I went five tiers deep below, he’d head the fifth. I actually have him rated somewhere between the fourth and sixth best overall pitcher today, but far behind the three other guys with a double digit price tag (or very close to it) on both sites.

Jason Hammel (.250 BABIP84.7 LOB% – 8.0 HR/FB) is in a tough spot at a cost above $8K and will be pulled early if his team trails with an opportunity to pinch-hit for him. His 13.3 K-BB% is only league average this year, his worst since leaving Colorado, but he’s been bailed out by an excellent defense. They’ll be there tonight and we’ll even grant him the BABIP for now, but that doesn’t entirely explain a strand rate 13+ points above his career rate and a career low HR rate.

Colby Lewis (.234 BABIP – 83.3 LOB% – 9.6 HR/FB) took a no-hitter into the ninth in his last start. He struck out four of 30 batters with just 8% weak contact in that game.

Marco Estrada (.188 BABIP – 81.9 LOB% – 9.0 HR/FB) is in a marginal spot and might pitch well, but you’re paying over $11K on DraftKings for BABIP suppression and a league average 12.2 K-BB%. He’s shown some BABIP suppression skills, but is still 65 points off his career rate.

Jimmy Nelson (.279 BABIP – 75.3 LOB% – 15.8 HR/FB) is in a great spot, but has just an 8.5 K-BB%. None of his quoted numbers are too far off, but 14% of his runs have been unearned. He still has a 5.5 K-BB% vs LHBs with a 36.9 Hard%, but has been bailed out a bit by a .228 BABIP. The only road start in the last four where he hasn’t allowed at least six runs was in Atlanta.

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

Bud Norris has struck out 13 of his last 44 batters and hasn’t allowed a HR since April in over 35 innings. In sort of a neutral matchup, he might even make the fourth tier cut on a weak day at a low price and I wouldn’t hate using him for the near minimum in your secondary DraftKings slot.

Tanner Roark with a league average strikeout rate is enough of an accomplishment. He’s dominating contact with a -9.2 Hard-Soft% and has a favorable matchup on the road in L.A. tonight, but it’s a tougher profile to pay up for on a great pitching day.

Sonny Gray had his first poor start since returning from injury against Texas last time out, but has struck out just 12 of 74 batters through three starts with a 39.0% hard contact rate. Milwaukee should help him generate more strikeouts (25.7% vs RHP), but that’s already well baked into a rising FanDuel price. Less than $7K on DraftKings may still be viable, though no great deal considering his performance this season.

Scott Kazmir has struck out one-third of the batters he’s faced over the last month, but has walked 10% as well and has not gotten past five innings in any of his last three starts. Perhaps he benefits from going after Kershaw, but he faces a tough offense vs LHP (16.1 HR/FB), though his own early HR issues seem to be solved without a single one over his last five starts.

Clay Buchholz has been pitching out of the bullpen since the end of May without exciting results (9.1 IP – 3 ER – 6 BB – 7 K – 39 BF), but does have a favorable matchup against the White Sox at home for a low price and a 9.2 SwStr% right at his career rate.

Ian Kennedy is in a low run environment on the road, but a power neutral park against an offense with a 14.9 HR/FB and 16.6 Hard-Soft% vs RHP. He’s allowed eight HRs over his last three starts.

Patrick Corbin has estimators and a strikeout rate that says he’s been pitching better, but this is not a good time to be traveling to Toronto.

Ivan Nova is generating more strikeouts (18.3%), but fewer ground balls as a starter (53.4%) with 21.4% of his fly balls leaving the yard. While you want to say that’s going to regress, this is a tough park and an offense with some power (14.2 HR/FB on the road, 14.8 HR/FB vs RHP, 16.4 HR/FB last seven days).

Justin Verlander allowed four runs in his last start, but still struck out seven of 30. His placement today is not a strike against his performance, but more one against his high cost in a difficult matchup. His $9.2K price on FanDuel would see about right with DraftKings being much too aggressive on him over the last month or so. He’s improved greatly, but it’s not 2011 again.

Adam Wainwright has made himself, but this is not a matchup I’m willing to pay more than $7K for. His success over the last month may be a bit over-stated with a .250 BABIP and below average SwStr%.

Blake Snell struggled in his second major league start against Seattle last week. He looked better in his first one back in April, but still had just a 6.7 SwStr%. Cleveland has had some issues with LHP (14.2 K-BB%), but have been the best home offense in baseball.

Luis Perdomo has an interesting SwStr% and estimators well above his ERA in a small sample, but there’s not much to be positively said here except he’s min-priced on DraftKings.

Hector Santiago

Tyler Wilson struck out a season high six of 28 Red Sox in eight shutout innings in his last start before his jersey was returned to its rightful owner. He’s in a favorable spot against San Diego tonight, but this isn’t Petco and his previous high in strikeouts this season is four. The Padres are out of the bottom spot against RHP after a solid last week and are barely bottom third in the league in road offense, though they still have a K-BB around 18% in both spots.

Anthony DeSclafani has walked six and struck out just four of the 45 batters he’s faced so far against Oakland and Atlanta.

Wilfredo Boscan has not even been confirmed as of noon on Tuesday yet and hasn’t even been a starter throughout much of his minor league career. The 26 year-old rookie has a 2.0 K-BB% through 12.1 major league relief innings.

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 Nola Phillies L2 Years 24.0% 5.7% Road 22.0% 4.9% L14 Days 20.0% 10.0%
Adam Wainwright Cardinals L2 Years 17.2% 5.6% Road 18.6% 5.9% L14 Days 33.3% 8.9%
Anthony DeSclafani Reds L2 Years 18.6% 7.0% Road 16.8% 9.3% L14 Days 8.9% 13.3%
Blake Snell Rays L2 Years 22.5% 10.0% Road 31.6% 5.3% L14 Days 14.3% 14.3%
Bud Norris Braves L2 Years 20.4% 8.5% Road 16.6% 10.7% L14 Days 29.6% 4.6%
Chad Bettis Rockies L2 Years 17.9% 7.3% Road 17.0% 8.8% L14 Days 20.9% 0.0%
Chris Sale White Sox L2 Years 29.7% 5.4% Road 30.6% 4.9% L14 Days 26.3% 3.5%
Clay Buchholz Red Sox L2 Years 19.6% 6.7% Home 19.0% 6.7% L14 Days 28.6% 14.3%
Colby Lewis Rangers L2 Years 16.8% 4.9% Home 15.9% 5.1% L14 Days 12.8% 3.5%
Collin McHugh Astros L2 Years 21.2% 5.8% Home 21.3% 5.6% L14 Days 26.1% 6.5%
Corey Kluber Indians L2 Years 27.7% 5.0% Home 25.3% 6.2% L14 Days 25.9% 3.5%
Hector Santiago Angels L2 Years 20.4% 9.3% Road 18.7% 8.4% L14 Days 20.0% 8.6%
Ian Kennedy Royals L2 Years 23.5% 8.3% Road 20.0% 7.2% L14 Days 12.7% 5.5%
Ivan Nova Yankees L2 Years 15.8% 6.6% Home 15.6% 7.8% L14 Days 19.2% 5.8%
James Paxton Mariners L2 Years 19.9% 9.4% Road 21.4% 9.1% L14 Days 29.0% 6.6%
Jason Hammel Cubs L2 Years 22.5% 6.5% Home 21.3% 6.2% L14 Days 15.7% 0.0%
Jimmy Nelson Brewers L2 Years 19.0% 8.4% Road 16.0% 11.9% L14 Days 14.0% 10.0%
Johnny Cueto Giants L2 Years 21.9% 5.8% Road 19.5% 5.8% L14 Days 29.8% 1.8%
Jose Fernandez Marlins L2 Years 34.0% 6.7% Home 35.2% 6.5% L14 Days 34.8% 0.0%
Justin Verlander Tigers L2 Years 22.0% 5.9% Home 24.4% 7.5% L14 Days 21.8% 3.6%
Luis Perdomo Padres L2 Years 16.3% 9.8% Road 21.6% 7.8% L14 Days 21.2% 5.8%
Marco Estrada Blue Jays L2 Years 19.4% 7.9% Home 19.0% 8.3% L14 Days 25.5% 9.8%
Noah Syndergaard Mets L2 Years 29.1% 4.6% Home 30.7% 2.7% L14 Days 27.6% 3.5%
Patrick Corbin Diamondbacks L2 Years 19.9% 6.0% Road 19.7% 6.7% L14 Days 24.5% 9.4%
Scott Kazmir Dodgers L2 Years 21.4% 8.0% Home 23.4% 8.7% L14 Days 27.5% 17.5%
Sonny Gray Athletics L2 Years 19.7% 7.8% Home 17.7% 6.9% L14 Days 13.2% 3.8%
Tanner Roark Nationals L2 Years 17.0% 5.9% Road 16.1% 6.3% L14 Days 22.2% 5.6%
Tyler Duffey Twins L2 Years 20.5% 6.8% Home 21.2% 7.1% L14 Days 10.0% 6.0%
Tyler Wilson Orioles L2 Years 11.4% 6.3% Home 10.7% 7.5% L14 Days 16.4% 7.3%
Wilfredo Boscan Pirates L2 Years 12.0% 10.0% Home 12.8% 12.8% L14 Days

K/BB Chart – Opponent

Opponent Split K% BB% Split K% BB% Split K% BB%
Twins Home 20.3% 7.7% RH 22.5% 7.8% L7Days 22.4% 4.6%
Cubs Home 21.9% 12.0% RH 22.2% 10.9% L7Days 21.5% 12.4%
Rangers Home 17.9% 7.7% RH 18.7% 7.0% L7Days 20.2% 6.4%
Indians Home 19.0% 9.9% LH 21.5% 7.3% L7Days 19.7% 9.6%
Marlins Home 18.8% 7.3% RH 18.7% 7.4% L7Days 17.0% 8.9%
Yankees Home 18.0% 9.0% RH 18.8% 7.6% L7Days 15.6% 5.6%
Red Sox Home 17.4% 9.3% LH 20.0% 9.3% L7Days 17.5% 7.4%
White Sox Road 21.8% 7.3% RH 20.9% 8.3% L7Days 21.6% 8.4%
Reds Road 22.5% 7.1% RH 22.9% 6.7% L7Days 24.6% 7.7%
Angels Road 15.8% 7.0% RH 15.8% 7.8% L7Days 13.2% 7.0%
Rays Road 23.8% 8.7% RH 25.1% 8.3% L7Days 24.6% 8.0%
Astros Home 25.5% 10.8% LH 24.6% 10.9% L7Days 18.6% 11.6%
Mets Home 23.7% 9.4% RH 23.4% 8.9% L7Days 19.2% 5.2%
Rockies Road 22.2% 7.0% RH 19.3% 7.4% L7Days 21.4% 11.8%
Tigers Home 21.5% 8.3% LH 21.0% 9.6% L7Days 20.3% 6.4%
Cardinals Road 20.5% 9.3% RH 19.4% 8.6% L7Days 18.2% 9.3%
Athletics Home 17.3% 6.2% RH 18.3% 6.6% L7Days 13.7% 4.4%
Pirates Home 18.7% 9.4% RH 20.1% 8.4% L7Days 30.8% 4.9%
Braves Road 20.5% 7.2% RH 19.4% 8.6% L7Days 21.0% 9.3%
Mariners Road 19.7% 7.7% RH 19.5% 8.7% L7Days 24.3% 7.1%
Orioles Home 20.1% 8.9% RH 22.7% 8.2% L7Days 21.6% 4.5%
Diamondbacks Road 21.2% 7.2% RH 23.6% 6.9% L7Days 30.5% 3.5%
Royals Road 21.3% 5.7% RH 19.9% 6.2% L7Days 17.6% 6.5%
Blue Jays Home 21.3% 9.9% LH 19.1% 9.8% L7Days 19.2% 9.2%
Nationals Road 21.5% 8.4% LH 20.0% 9.3% L7Days 24.2% 6.3%
Brewers Road 26.5% 10.0% RH 25.7% 9.9% L7Days 28.5% 6.8%
Dodgers Home 19.7% 8.9% RH 20.8% 8.9% L7Days 23.9% 7.7%
Phillies Road 22.3% 5.8% RH 22.3% 6.3% L7Days 21.7% 4.7%
Padres Road 24.9% 6.3% RH 24.1% 6.2% L7Days 22.0% 8.4%
Giants Road 16.9% 8.2% RH 16.5% 9.8% L7Days 19.3% 7.3%

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 Nola Phillies L2 Years 26.6% 15.3% 4.1% 2016 24.4% 15.5% -1.2% Road 26.1% 7.4% 4.0% L14 Days 25.9% 40.0% 14.8%
Adam Wainwright Cardinals L2 Years 28.1% 6.9% 8.3% 2016 32.2% 9.4% 15.9% Road 32.3% 14.5% 18.3% L14 Days 44.0% 0.0% 28.0%
Anthony DeSclafani Reds L2 Years 30.9% 8.9% 13.9% 2016 26.5% 12.5% 20.6% Road 28.2% 4.9% 7.4% L14 Days 26.5% 12.5% 20.6%
Blake Snell Rays L2 Years 40.7% 0.0% 22.2% 2016 40.7% 0.0% 22.2% Road 41.7% 0.0% 16.7% L14 Days 40.0% 0.0% 26.7%
Bud Norris Braves L2 Years 33.4% 14.0% 18.4% 2016 31.5% 12.2% 18.0% Road 32.6% 15.1% 16.3% L14 Days 31.0% 0.0% 10.3%
Chad Bettis Rockies L2 Years 31.4% 13.3% 16.1% 2016 32.1% 17.1% 16.6% Road 30.8% 13.5% 15.7% L14 Days 28.1% 16.7% 18.7%
Chris Sale White Sox L2 Years 26.9% 10.7% 6.6% 2016 27.7% 10.8% 8.5% Road 26.5% 8.0% 6.9% L14 Days 41.0% 30.8% 28.2%
Clay Buchholz Red Sox L2 Years 27.4% 9.1% 9.1% 2016 28.4% 13.3% 10.4% Home 25.2% 10.1% 8.2% L14 Days 0.0% 0.0% -12.5%
Colby Lewis Rangers L2 Years 35.1% 9.8% 22.0% 2016 37.4% 9.6% 24.8% Home 33.6% 10.4% 22.0% L14 Days 35.2% 6.5% 21.1%
Collin McHugh Astros L2 Years 25.6% 10.1% 4.8% 2016 28.1% 10.9% 10.6% Home 22.9% 8.2% 0.5% L14 Days 45.2% 9.1% 38.7%
Corey Kluber Indians L2 Years 26.8% 9.3% 7.7% 2016 27.9% 9.4% 7.3% Home 25.8% 9.0% 5.4% L14 Days 29.3% 7.7% 12.2%
Hector Santiago Angels L2 Years 33.0% 10.6% 16.9% 2016 33.5% 15.1% 16.1% Road 33.1% 11.5% 16.9% L14 Days 28.0% 0.0% 12.0%
Ian Kennedy Royals L2 Years 33.7% 13.7% 17.3% 2016 35.8% 15.7% 17.2% Road 34.3% 15.0% 16.8% L14 Days 46.5% 30.0% 34.9%
Ivan Nova Yankees L2 Years 32.6% 15.6% 13.1% 2016 33.2% 20.0% 12.6% Home 29.9% 13.3% 10.8% L14 Days 39.5% 15.4% 26.3%
James Paxton Mariners L2 Years 28.7% 9.3% 12.3% 2016 32.3% 17.6% 24.6% Road 27.7% 14.6% 13.8% L14 Days 36.7% 7.7% 30.6%
Jason Hammel Cubs L2 Years 30.2% 12.6% 12.0% 2016 28.6% 8.0% 8.6% Home 33.6% 13.0% 12.9% L14 Days 21.4% 16.7% 7.1%
Jimmy Nelson Brewers L2 Years 31.3% 12.3% 10.9% 2016 34.5% 15.8% 11.1% Road 30.2% 9.7% 11.9% L14 Days 33.3% 9.1% 16.6%
Johnny Cueto Giants L2 Years 25.8% 8.9% 4.9% 2016 24.5% 3.9% 3.9% Road 30.2% 9.6% 10.0% L14 Days 13.5% 0.0% -5.4%
Jose Fernandez Marlins L2 Years 31.8% 8.4% 13.0% 2016 34.1% 9.1% 14.7% Home 29.4% 7.1% 7.9% L14 Days 46.7% 16.7% 26.7%
Justin Verlander Tigers L2 Years 25.8% 8.2% 6.6% 2016 28.7% 10.0% 8.9% Home 28.4% 7.9% 11.1% L14 Days 30.8% 6.7% 7.7%
Luis Perdomo Padres L2 Years 32.3% 21.9% 15.5% 2016 32.3% 21.9% 15.5% Road 34.8% 31.3% 23.2% L14 Days 27.0% 16.7% 10.8%
Marco Estrada Blue Jays L2 Years 29.5% 8.3% 7.9% 2016 33.3% 9.0% 13.2% Home 27.5% 8.0% 7.8% L14 Days 45.5% 18.8% 24.3%
Noah Syndergaard Mets L2 Years 25.7% 12.2% 5.7% 2016 27.7% 7.3% 7.5% Home 23.3% 11.5% -1.9% L14 Days 32.5% 0.0% 20.0%
Patrick Corbin Diamondbacks L2 Years 35.4% 14.7% 19.1% 2016 39.2% 17.3% 23.2% Road 32.8% 13.6% 13.8% L14 Days 40.0% 7.7% 31.4%
Scott Kazmir Dodgers L2 Years 25.1% 10.8% 6.1% 2016 22.0% 15.0% -1.4% Home 23.0% 5.3% 3.2% L14 Days 22.7% 0.0% 4.5%
Sonny Gray Athletics L2 Years 26.1% 11.2% 8.0% 2016 34.6% 18.0% 20.1% Home 26.2% 12.3% 10.4% L14 Days 43.2% 16.7% 31.8%
Tanner Roark Nationals L2 Years 23.2% 10.6% 0.2% 2016 21.0% 10.3% -9.2% Road 25.7% 14.6% 0.0% L14 Days 23.7% 7.7% -2.6%
Tyler Duffey Twins L2 Years 29.2% 11.5% 11.1% 2016 31.4% 15.1% 11.0% Home 34.2% 13.0% 17.4% L14 Days 35.7% 10.0% 7.1%
Tyler Wilson Orioles L2 Years 32.1% 7.1% 15.9% 2016 32.5% 9.2% 14.5% Home 28.5% 6.7% 10.6% L14 Days 40.5% 0.0% 28.6%
Wilfredo Boscan Pirates L2 Years 18.0% 0.0% -15.3% 2016 18.0% 0.0% -15.3% Home 17.2% 0.0% -17.3% L14 Days

Batted Ball Charts – Opponent

Opponent Split Hard% HR/FB% Hd-St% Split Hard% HR/FB% Hd-St% Split Hard% HR/FB% Hd-St%
Twins Home 31.8% 11.4% 13.9% RH 30.1% 11.2% 11.1% L7Days 25.8% 12.0% 5.7%
Cubs Home 29.4% 13.5% 9.4% RH 31.7% 13.7% 13.0% L7Days 31.2% 21.6% 8.5%
Rangers Home 26.8% 11.3% 6.5% RH 28.4% 12.3% 8.4% L7Days 34.4% 20.0% 15.1%
Indians Home 31.1% 13.5% 16.2% LH 30.5% 8.9% 13.6% L7Days 32.3% 17.5% 20.5%
Marlins Home 30.1% 11.4% 8.9% RH 29.5% 10.1% 8.4% L7Days 34.8% 18.6% 13.5%
Yankees Home 26.4% 13.2% 5.4% RH 25.4% 12.8% 7.4% L7Days 26.7% 12.7% 11.7%
Red Sox Home 33.8% 11.7% 15.0% LH 30.0% 12.6% 7.5% L7Days 35.9% 13.0% 16.1%
White Sox Road 27.7% 10.5% 9.2% RH 28.1% 10.1% 7.9% L7Days 32.5% 6.0% 15.3%
Reds Road 29.8% 10.7% 11.5% RH 31.7% 13.1% 14.1% L7Days 25.8% 8.5% 9.6%
Angels Road 29.7% 9.9% 7.8% RH 30.6% 9.8% 10.4% L7Days 30.4% 12.1% 10.0%
Rays Road 34.3% 16.9% 16.0% RH 34.3% 15.3% 14.1% L7Days 33.9% 13.0% 18.0%
Astros Home 34.3% 15.8% 17.2% LH 33.4% 15.2% 16.3% L7Days 38.6% 22.2% 20.5%
Mets Home 33.6% 12.6% 10.6% RH 34.3% 14.9% 16.6% L7Days 39.9% 11.5% 17.7%
Rockies Road 30.1% 14.2% 10.7% RH 32.3% 14.8% 15.0% L7Days 34.7% 16.4% 21.4%
Tigers Home 32.9% 13.4% 16.5% LH 33.1% 13.0% 13.1% L7Days 31.8% 20.3% 13.6%
Cardinals Road 31.8% 14.5% 13.1% RH 32.8% 14.7% 14.4% L7Days 31.6% 9.5% 15.1%
Athletics Home 28.4% 9.0% 10.1% RH 29.4% 9.0% 10.1% L7Days 30.1% 2.9% 11.4%
Pirates Home 30.1% 9.7% 10.6% RH 29.3% 10.2% 8.6% L7Days 35.3% 14.6% 12.2%
Braves Road 26.2% 5.8% 4.7% RH 25.5% 6.1% 5.6% L7Days 28.0% 10.4% 4.6%
Mariners Road 31.8% 15.6% 13.7% RH 32.9% 16.1% 15.5% L7Days 33.7% 16.4% 13.9%
Orioles Home 33.8% 15.2% 12.0% RH 32.6% 16.5% 12.9% L7Days 30.2% 11.9% 10.9%
Diamondbacks Road 31.9% 13.4% 12.0% RH 33.1% 13.0% 14.9% L7Days 31.8% 21.6% 17.6%
Royals Road 28.1% 9.9% 9.2% RH 29.7% 9.4% 9.4% L7Days 30.1% 11.1% 7.1%
Blue Jays Home 36.1% 13.1% 19.4% LH 33.4% 13.0% 13.3% L7Days 39.2% 26.0% 20.4%
Nationals Road 34.8% 15.6% 17.9% LH 35.6% 16.1% 16.7% L7Days 33.0% 15.8% 18.2%
Brewers Road 29.2% 13.0% 8.4% RH 31.9% 14.9% 12.5% L7Days 28.4% 14.3% 7.8%
Dodgers Home 31.7% 15.6% 13.8% RH 33.1% 13.4% 15.9% L7Days 37.6% 20.6% 24.3%
Phillies Road 29.3% 11.6% 8.3% RH 26.3% 10.9% 4.1% L7Days 23.7% 5.1% -3.5%
Padres Road 33.2% 13.9% 16.3% RH 31.0% 11.1% 13.1% L7Days 31.6% 8.5% 7.7%
Giants Road 32.3% 11.8% 12.9% RH 30.9% 9.5% 11.6% L7Days 25.2% 7.7% 6.0%

K/SwStr Chart (2015 LG AVG – 20.6 K% – 9.4 SwStr% – 2.19 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 Nola PHI 26.4% 9.8% 2.69 24.8% 8.4% 2.95
Adam Wainwright STL 17.1% 7.6% 2.25 23.4% 8.3% 2.82
Anthony DeSclafani CIN 8.9% 9.0% 0.99 8.9% 9.0% 0.99
Blake Snell TAM 22.5% 5.5% 4.09 14.3% 4.4% 3.25
Bud Norris ATL 18.3% 7.9% 2.32 22.1% 9.2% 2.40
Chad Bettis COL 16.8% 7.9% 2.13 14.3% 8.3% 1.72
Chris Sale CHW 24.0% 9.6% 2.50 23.0% 10.2% 2.25
Clay Buchholz BOS 15.3% 9.2% 1.66 14.8% 10.2% 1.45
Colby Lewis TEX 15.9% 7.9% 2.01 10.6% 6.9% 1.54
Collin McHugh HOU 21.5% 11.0% 1.95 27.3% 13.9% 1.96
Corey Kluber CLE 24.9% 12.1% 2.06 26.1% 11.5% 2.27
Hector Santiago ANA 20.1% 9.8% 2.05 22.9% 10.3% 2.22
Ian Kennedy KAN 22.0% 10.0% 2.20 17.6% 9.4% 1.87
Ivan Nova NYY 16.7% 9.4% 1.78 20.7% 10.6% 1.95
James Paxton SEA 29.0% 11.8% 2.46 29.0% 11.8% 2.46
Jason Hammel CHC 21.3% 10.4% 2.05 19.1% 11.0% 1.74
Jimmy Nelson MIL 18.5% 7.3% 2.53 16.9% 7.8% 2.17
Johnny Cueto SFO 22.4% 9.5% 2.36 21.0% 7.8% 2.69
Jose Fernandez FLA 37.5% 15.0% 2.50 41.2% 15.7% 2.62
Justin Verlander DET 26.0% 11.4% 2.28 27.0% 11.7% 2.31
Luis Perdomo SDG 16.3% 9.2% 1.77 16.9% 9.7% 1.74
Marco Estrada TOR 22.1% 9.8% 2.26 19.0% 8.1% 2.35
Noah Syndergaard NYM 31.9% 15.1% 2.11 32.5% 15.7% 2.07
Patrick Corbin ARI 18.0% 9.3% 1.94 20.8% 10.2% 2.04
Scott Kazmir LOS 24.9% 10.6% 2.35 33.0% 12.3% 2.68
Sonny Gray OAK 17.9% 8.0% 2.24 16.2% 8.0% 2.03
Tanner Roark WAS 21.4% 8.7% 2.46 19.5% 10.0% 1.95
Tyler Duffey MIN 19.1% 7.9% 2.42 18.8% 7.3% 2.58
Tyler Wilson BAL 12.8% 6.3% 2.03 13.9% 7.1% 1.96
Wilfredo Boscan PIT 12.0% 5.1% 2.35 9.3% 3.0% 3.10


Aaron Nola gets a lot of called strikes, but I’m a bit hesitant to buy into anything much above 25% for a strikeout rate without a double digit SwStr%.

Chad Bettis had a double digit SwStr% in his last start against the Yankees and has been above 8% in three of his last four. That’s not spectacular, but could wind up generating a few more Ks.

ERA Estimators Chart (2015 LG AVG – 4.10 ERA – 4.05 SIERA – 4.00 xFIP – 4.00 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 Nola PHI 3.51 3.04 -0.47 2.81 -0.7 3.06 -0.45 5.11 3.46 -1.65 3.21 -1.9 3.98 -1.13
Adam Wainwright STL 4.78 4.42 -0.36 4.27 -0.51 3.84 -0.94 3 3.6 0.6 3.61 0.61 3.49 0.49
Anthony DeSclafani CIN 2.08 6.36 4.28 6.15 4.07 6.13 4.05 2.08 6.38 4.3 6.15 4.07 6.13 4.05
Blake Snell TAM 2.16 4.2 2.04 3.99 1.83 2.41 0.25 2.7 4.91 2.21 4.52 1.82 4.03 1.33
Bud Norris ATL 4.81 4.56 -0.25 4.39 -0.42 4.33 -0.48 2.91 3.97 1.06 3.53 0.62 2.62 -0.29
Chad Bettis COL 5.63 4.14 -1.49 4 -1.63 4.52 -1.11 9.27 4.52 -4.75 4.68 -4.59 6.4 -2.87
Chris Sale CHW 2.94 3.59 0.65 3.68 0.74 3.42 0.48 6.07 3.98 -2.09 3.99 -2.08 4.78 -1.29
Clay Buchholz BOS 5.86 5.27 -0.59 5.5 -0.36 5.61 -0.25 5.65 5.02 -0.63 5.32 -0.33 5.85 0.2
Colby Lewis TEX 2.81 4.64 1.83 4.75 1.94 4.2 1.39 2.91 5.38 2.47 5.4 2.49 3.69 0.78
Collin McHugh HOU 4.89 3.92 -0.97 3.98 -0.91 3.7 -1.19 4.5 3.29 -1.21 3.25 -1.25 3.33 -1.17
Corey Kluber CLE 4.23 3.38 -0.85 3.32 -0.91 2.94 -1.29 4.46 3.16 -1.3 3.06 -1.4 2.6 -1.86
Hector Santiago ANA 5.3 4.59 -0.71 4.86 -0.44 5.25 -0.05 8.85 4.47 -4.38 4.52 -4.33 5.29 -3.56
Ian Kennedy KAN 4.17 4.27 0.1 4.76 0.59 5.27 1.1 5.86 4.83 -1.03 5.34 -0.52 7.18 1.32
Ivan Nova NYY 4.77 3.71 -1.06 3.82 -0.95 4.6 -0.17 6.3 3.92 -2.38 3.97 -2.33 4.86 -1.44
James Paxton SEA 2.86 2.99 0.13 2.59 -0.27 3.08 0.22 2.86 2.99 0.13 2.59 -0.27 3.08 0.22
Jason Hammel CHC 2.26 4.17 1.91 4.14 1.88 3.54 1.28 2.17 4.23 2.06 4.34 2.17 3.75 1.58
Jimmy Nelson MIL 3.92 4.66 0.74 4.58 0.66 4.94 1.02 5.81 4.93 -0.88 5.03 -0.78 5.56 -0.25
Johnny Cueto SFO 2.1 3.47 1.37 3.3 1.2 2.46 0.36 1 3.6 2.6 3.63 2.63 2.79 1.79
Jose Fernandez FLA 2.57 2.52 -0.05 2.33 -0.24 2.01 -0.56 1.64 1.62 -0.02 1.64 0 1.13 -0.51
Justin Verlander DET 3.87 3.6 -0.27 3.93 0.06 3.51 -0.36 2.75 3.16 0.41 3.4 0.65 2.74 -0.01
Luis Perdomo SDG 8.79 4.24 -4.55 4.43 -4.36 5.34 -3.45 8.2 4.03 -4.17 4.29 -3.91 6.62 -1.58
Marco Estrada TOR 2.58 4.46 1.88 4.65 2.07 4.04 1.46 2.52 5.18 2.66 5.29 2.77 5.12 2.6
Noah Syndergaard NYM 1.91 2.38 0.47 2.16 0.25 1.7 -0.21 1.42 2.27 0.85 1.92 0.5 1.23 -0.19
Patrick Corbin ARI 4.76 4.21 -0.55 4.04 -0.72 4.57 -0.19 6.28 3.86 -2.42 3.74 -2.54 4.17 -2.11
Scott Kazmir LOS 4.64 3.95 -0.69 4.12 -0.52 4.43 -0.21 3.46 3.24 -0.22 3.22 -0.24 1.82 -1.64
Sonny Gray OAK 5.54 4.46 -1.08 4.31 -1.23 4.94 -0.6 3.86 3.87 0.01 3.65 -0.21 4.41 0.55
Tanner Roark WAS 3.14 3.93 0.79 3.67 0.53 3.47 0.33 3.6 3.94 0.34 3.64 0.04 3.73 0.13
Tyler Duffey MIN 5.56 3.95 -1.61 3.79 -1.77 4.08 -1.48 8.1 3.97 -4.13 3.53 -4.57 4.67 -3.43
Tyler Wilson BAL 4.16 4.8 0.64 4.69 0.53 4.17 0.01 4.75 4.54 -0.21 4.39 -0.36 3.82 -0.93
Wilfredo Boscan PIT 2.92 5.18 2.26 5.25 2.33 3.37 0.45 3.48 5.74 2.26 5.72 2.24 3.81 0.33


Aaron Nola – A 66.7 LOB% and 15.5 HR/FB have his ERA about a half run or more above his estimators. Throw in a .400 BABIP and increase it to a 20.0 HR/FB over the last month with a 50.0 GB% and 1.2 Hard-Soft%.

Chad Bettis has a .328 BABIP this year and through 262.2 career innings. That might just be a Coors thing. His 65.2 LOB% and 17.1 HR/FB both of room to improve, though it’s questionable how much in his current environment.

Chris Sale is closing in on his estimators, but I believe they’ll actually drop as he gets back to missing bats again. His BABIP is soaring upwards, at .262 now and .391 over the last month, but still below his .290 career mark.

Collin McHugh has a .359 BABIP with a 1.16 GB/FB near his career rate (1.24) and the lowest line drive rate (18.8%) of his career so far. His hard contact rate (28.0%) is a half a percentage point for his 27.5% career rate. There’s no visible reason for this and any amount of regression combined with his increased bat missing skills recently could make him a pitcher to watch going forward.

Corey Kluber has run into ERA issues before, normally due to a high BABIP, which resolved as the season went on to at least some degree. This time the problem seems much simpler in a 61.7 LOB%. He’s been below 50% in three of his last four. Batters that reach are scoring nearly 40% of the time. Base runners are being bunched.

Tyler Duffey has a .355 BABIP and 63.0 LOB%. He’s allowed a 24.9 LD%, but no more hard contact that average. The Minnesota defense has allowed the highest BABIP in baseball, by 18 points over Colorado.

BABIP Chart (2016 LG AVG – .297 BABIP – 21.0 LD% – 9.2 IFFB% – 86.6 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 Pitcher LD% Pitcher IFFB% Pitcher Zcontact
Aaron Nola PHI 0.301 0.297 -0.004 0.203 5.2% 84.5%
Adam Wainwright STL 0.287 0.309 0.022 0.252 7.1% 92.6%
Anthony DeSclafani CIN 0.295 0.394 0.099 0.344 0.0% 92.2%
Blake Snell TAM 0.296 0.370 0.074 0.231 12.5% 93.5%
Bud Norris ATL 0.286 0.297 0.011 0.237 6.1% 89.5%
Chad Bettis COL 0.312 0.328 0.016 0.218 4.3% 86.3%
Chris Sale CHW 0.303 0.262 -0.041 0.224 11.8% 85.2%
Clay Buchholz BOS 0.282 0.266 -0.016 0.183 16.7% 86.6%
Colby Lewis TEX 0.283 0.234 -0.049 0.185 7.2% 89.5%
Collin McHugh HOU 0.307 0.359 0.052 0.188 8.7% 87.7%
Corey Kluber CLE 0.282 0.283 0.001 0.184 5.9% 86.2%
Hector Santiago ANA 0.294 0.265 -0.029 0.164 14.0% 82.3%
Ian Kennedy KAN 0.289 0.259 -0.03 0.189 11.8% 84.9%
Ivan Nova NYY 0.306 0.307 0.001 0.182 10.0% 92.1%
James Paxton SEA 0.291 0.403 0.112 0.266 0.0% 85.8%
Jason Hammel CHC 0.254 0.250 -0.004 0.191 8.0% 88.9%
Jimmy Nelson MIL 0.305 0.279 -0.026 0.217 13.2% 90.0%
Johnny Cueto SFO 0.289 0.282 -0.007 0.213 11.8% 87.1%
Jose Fernandez FLA 0.305 0.327 0.022 0.279 10.9% 80.2%
Justin Verlander DET 0.310 0.271 -0.039 0.193 12.7% 84.3%
Luis Perdomo SDG 0.304 0.416 0.112 0.234 3.1% 88.9%
Marco Estrada TOR 0.281 0.188 -0.093 0.157 18.0% 85.9%
Noah Syndergaard NYM 0.303 0.316 0.013 0.202 5.5% 84.0%
Patrick Corbin ARI 0.300 0.298 -0.002 0.191 4.0% 92.5%
Scott Kazmir LOS 0.272 0.282 0.01 0.206 12.5% 82.0%
Sonny Gray OAK 0.304 0.304 0 0.179 8.2% 93.2%
Tanner Roark WAS 0.285 0.293 0.008 0.23 5.2% 87.3%
Tyler Duffey MIN 0.330 0.355 0.025 0.249 15.1% 89.5%
Tyler Wilson BAL 0.304 0.253 -0.051 0.196 11.8% 92.8%
Wilfredo Boscan PIT 0.295 0.231 -0.064 0.158 7.1% 90.7%

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.

It would almost be worth adding a fifth tier today because there are so many usable arms, but that I felt I left a few on the cutting room floor, but the group listed below is clearly strong and it already covers nine pitchers. The line has to be drawn somewhere, but if you like an arm like Cueto in this spot, don’t be dissuaded by opinions down here.

Value Tier One

Editor’s Note: Bartolo Colon will now start instead of Syndergaard against the Royals tonight.

Noah Syndergaard (2) does everything Fernandez does, but with fewer walks and better contact. Add in a bit of a tougher matchup, but also a lower cost and it’s tough to go wrong either way.

Jose Fernandez (1) against Atlanta at any cost is an easy call even if they are playing a bit better. When you lead the league in strikeout rate by more than three points, there’s little else needed.

Value Tier Two

Tyler Duffey is declining, but still has above average peripherals. He’s going to allow some hits and may not be the above average pitcher we thought he might be, but he’s facing the Phillies for $6.5K or less. If he fails here, I promise we’re done with him.

Corey Kluber (3) seems to bomb whenever we get to cover him here, but we’re not going to give up on a quality pitcher due to a low strand rate. We hope others will though. He’s got a good chance to rack up the Ks tonight in Tampa Bay. I’m projecting about seven or eight and have him as the third highest rate on this board.

Value Tier Three

Aaron Nola (4t) is coming off two his worst two start stretch of the season, not lasting four innings in either and still costs $9K. He’s still among the league leaders in all of the most important categories and had failed to go six innings in only one start previously. He’s only struck out fewer than six three times and is in a good spot against the Twins tonight.

Collin McHugh has a misfortunate BABIP that doesn’t seem to want to regress, but he’s compensated for that by missing bats at an elite rate over the last month. He’s not in a bad spot tonight, but one where strikeouts might be tougher to come by, but with any BABIP fortune, he should be worth more than his below average cost.

Value Tier Four – These guys seem basically in line with their price tag. They are either useable 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.

Chad Bettis is likely to be overlooked by most people and hasn’t pitched much better on the road, but he’s rarely seen a good spot this year. His SwStr% has been on its way up and he pitched well against this offense in the most difficult of environments last week, albeit without a DH. He doesn’t even have to be good for his price.

Chris Sale (4t) is missing more bats and costs just $8.7K on DraftKings tonight, so what’s the problem? The Boston Red Sox, although I would keep him on the board on either site tonight as he has upside and is unlikely to see high ownership rates tonight.

James Paxton has tremendous upside for a moderate price, but faces a tough offense and has had a lot of issues with hard contact so far.

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.