2015 Fantasy Baseball Pitcher Sleepers
The 2015 Major League Baseball season is upon us and we all want to know which pitchers will outperform their projections (sleepers). We use peripherals such as FIP, batted ball rates, and K rates to judge whether a pitcher can have future success.
STARTING PITCHERS
Dallas Keuchel
Keuchel gets lost in Houston, but his 2.93 ERA was legit last year due to having the highest ground-ball rate of any starting pitcher (64%). He was able to induce all those grounders with a great sinker, that he threw almost half the time he released the ball. This sinker also limited the HR hit against him to a miniscule 11 in 200 IP. Add to the ground ball rate a 2.2 BB/9 rate, and despite the limited number of strikeouts, Keuchel is a lock for a sub-3.50 ERA.
Andrew McCarthy
Another ground ball pitcher who is primed for a solid season is McCarthy, who has increased his ground ball rate each year over the past three seasons: 41% in 2012, 48% in 2013 and 53% in 2014. When the Yankees acquired McCarthy from Arizona in July, McCarthy had a 5.01 ERA. But then it all clicked and he continued the rest of the season with a 2.89 ERA and 1.15 WHIP. His high ERA is contributed to bad luck as his BABIP against suggests (.330 vs. the average .300 BABIP for the rest of the league). I expect McCarthy's BABIP to regress down back to the norm and have a nice year.
Andrew Heaney
Heaney is now on the Angels, but he struggled in only 29.1 IP last year for the Marlins. His numbers were out of character for the most part. His HR/9 ratio was 1.84, but we can expect a number closer to his minor league ratio of only .97. Last year in AAA, Heaney struck out over 9 batters per 9 IP and had a nice walk rate, which carried over into the majors (2.15 BB per 9 IP). Heaney has an elite changeup, a pitch proven to predict success in the majors, and I believe Heaney will really show what he is made of this year.
Wade Miley
Miley is the type of pitcher nobody cared about when he was stuck in Arizona and posted a career 3.79 ERA and 7.03 K/9. But now we should take notice as Miley takes the mound for the American League favorites, the Boston Red Sox. Last year, we saw signs of a breakout when Miley posted his best K rate (8.18 K/9). He also had a career worst walks per nine (3.35) and home runs per nine (1.03). These two stats can change drastically from year to year. With a monster lineup behind him, Miley can be poised for a better year than we think. He should no longer be anonymous.
Taijuan Walker
There's a reason the Mariners said Walker is untouchable via trade. After getting called up last year, he posted a 2.61 ERA, 1.28 WHIP and 8.1 K/9. Even better, he finished strongly in September with a 1.96 ERA. Walker throws a heater in the mid-90s with a devastating 90mph cutter that induces plenty of groundballs. It is fair to say, the former top Mariners prospect is due for a huge year.
James Paxton
Speaking of the Mariners, we can't forget James Paxton. His breakout season was cut short last year due to a shoulder injury, but his numbers were impressive. His K rate was an average 19.5% but his groundball rate was a phenomenal 54.8% (the league average was 44%). The lefty knows how to get people out. We should see more of the same, with a possible increase in strikeouts as he had a 7.9% swinging strike percentage last year, a nicer number than his K rate suggests. So, I'm looking to value the number 3 starting pitcher for Seattle higher than most.
Honorable Mention
Zach Wheeler, Drew Smyly, Homer Bailey, Carlos Carrasco, A.J. Burnett, T.J. House, Yu Darvish, Clay Buchholz, Cliff Lee
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FIP - ERA DIFFERENTIAL
For years, ERA was the be all and end all statistic for pitchers... until sabermetrics came along. That is when Fielder Independent Pitching came about, a statistic that basically tells us what a pitcher's ERA SHOULD be. FIP is calculated with this formula: FIP = ((13*HR)+(3*(BB+HBP))-(2*K))/IP + constant and the constant is calculated with this formula: FIP Constant = lgERA - (((13*lgHR)+(3*(lgBB+lgHBP))-(2*lgK))/lgIP). The truly gifted baseball analyst will look at this and know the implications of the FIP statistic but not all of us are that gifted, so basically what FIP means is it is the ERA a pitcher would have if he suffered the league average results on balls in play. So it eliminates the effect of fielders and luck, both of which are out of the pitcher's control.
So, how do we use FIP as a predictive statistic for pitchers. Well, it's easy. If FIP is what an ERA is supposed to be, we can simply see whose ERA was much higher than their FIP. These pitchers have falsely inflated ERAs that tend to revert back to what they should be (the FIP). So, here is a table of the pitchers with the biggest difference in ERA and FIP in the 2014 season. Pitchers must have pitched at least 100 IP. The guys at the top are sleeper candidates.
Name | ERA | FIP | E-F |
---|---|---|---|
Jacob Turner | 6.13 | 4.16 | 1.97 |
Edwin Jackson | 6.33 | 4.45 | 1.88 |
Trevor Cahill | 5.61 | 3.89 | 1.72 |
Justin Masterson | 5.88 | 4.5 | 1.38 |
Clay Buchholz | 5.34 | 4.01 | 1.33 |
Ricky Nolasco | 5.38 | 4.3 | 1.08 |
Nathan Eovaldi | 4.37 | 3.37 | 1 |
Yusmeiro Petit | 3.69 | 2.78 | 0.91 |
Phil Hughes | 3.52 | 2.65 | 0.87 |
Brett Oberholtzer | 4.39 | 3.56 | 0.83 |
Marcus Stroman | 3.65 | 2.84 | 0.81 |
Justin Verlander | 4.54 | 3.74 | 0.8 |
Hyun-Jin Ryu | 3.38 | 2.62 | 0.76 |
Kevin Correia | 5.44 | 4.67 | 0.76 |
Josh Tomlin | 4.76 | 4.01 | 0.75 |
Tyler Skaggs | 4.3 | 3.55 | 0.75 |
Danny Salazar | 4.25 | 3.52 | 0.73 |
Anibal Sanchez | 3.43 | 2.71 | 0.72 |
Colby Lewis | 5.18 | 4.46 | 0.71 |
Kyle Gibson | 4.47 | 3.8 | 0.67 |
Travis Wood | 5.03 | 4.38 | 0.65 |
Drew Hutchison | 4.48 | 3.85 | 0.64 |
Jerome Williams | 4.77 | 4.16 | 0.62 |
Ervin Santana | 3.95 | 3.39 | 0.56 |
Gio Gonzalez | 3.57 | 3.03 | 0.55 |
Bartolo Colon | 4.09 | 3.57 | 0.52 |
Jose Quintana | 3.32 | 2.81 | 0.51 |
Brandon McCarthy | 4.05 | 3.55 | 0.5 |
David Price | 3.26 | 2.78 | 0.48 |
A.J. Burnett | 4.59 | 4.14 | 0.45 |
Tim Lincecum | 4.74 | 4.31 | 0.43 |
Gerrit Cole | 3.65 | 3.23 | 0.42 |
Ian Kennedy | 3.63 | 3.21 | 0.42 |
Mike Minor | 4.77 | 4.39 | 0.38 |
Jake Odorizzi | 4.13 | 3.75 | 0.37 |
Wade Miley | 4.34 | 3.98 | 0.36 |
Max Scherzer | 3.15 | 2.85 | 0.3 |
Tyler Matzek | 4.05 | 3.78 | 0.28 |
Jake Arrieta | 2.53 | 2.26 | 0.27 |
Hisashi Iwakuma | 3.52 | 3.25 | 0.27 |
Yu Darvish | 3.06 | 2.84 | 0.21 |
C.J. Wilson | 4.51 | 4.31 | 0.2 |
Stephen Strasburg | 3.14 | 2.94 | 0.2 |
Scott Kazmir | 3.55 | 3.35 | 0.19 |
Brad Hand | 4.38 | 4.2 | 0.17 |
Kevin Gausman | 3.57 | 3.41 | 0.16 |
Trevor Bauer | 4.18 | 4.01 | 0.16 |
Samuel Deduno | 4.47 | 4.31 | 0.16 |
Ubaldo Jimenez | 4.81 | 4.67 | 0.14 |
Ryan Vogelsong | 4 | 3.85 | 0.14 |
Rubby de la Rosa | 4.43 | 4.3 | 0.12 |
Jordan Lyles | 4.33 | 4.22 | 0.11 |
Carlos Carrasco | 2.55 | 2.44 | 0.11 |
Hiroki Kuroda | 3.71 | 3.6 | 0.1 |
Corey Kluber | 2.44 | 2.35 | 0.1 |
Matt Garza | 3.64 | 3.54 | 0.1 |
Vidal Nuno | 4.56 | 4.51 | 0.05 |
John Lackey | 3.82 | 3.78 | 0.04 |
Kyle Kendrick | 4.61 | 4.57 | 0.04 |
Scott Carroll | 4.8 | 4.77 | 0.03 |
Michael Wacha | 3.2 | 3.17 | 0.03 |
Jacob deGrom | 2.69 | 2.67 | 0.02 |
Tim Hudson | 3.57 | 3.54 | 0.02 |
Garrett Richards | 2.61 | 2.6 | 0.01 |
Aaron Harang | 3.57 | 3.57 | 0 |
Zack Wheeler | 3.54 | 3.55 | -0.01 |
Charlie Morton | 3.72 | 3.72 | -0.01 |
Jordan Zimmermann | 2.66 | 2.68 | -0.02 |
John Danks | 4.74 | 4.76 | -0.02 |
David Phelps | 4.38 | 4.41 | -0.03 |
Tom Koehler | 3.81 | 3.84 | -0.03 |
Clayton Kershaw | 1.77 | 1.81 | -0.04 |
Franklin Morales | 5.37 | 5.42 | -0.04 |
J.A. Happ | 4.22 | 4.27 | -0.05 |
Chris Archer | 3.33 | 3.39 | -0.06 |
Madison Bumgarner | 2.98 | 3.05 | -0.07 |
Dan Haren | 4.02 | 4.09 | -0.07 |
Hector Noesi | 4.75 | 4.83 | -0.07 |
Jarred Cosart | 3.69 | 3.77 | -0.08 |
Jason Vargas | 3.71 | 3.84 | -0.13 |
Roenis Elias | 3.85 | 4.03 | -0.18 |
Mike Leake | 3.7 | 3.88 | -0.18 |
Jeremy Guthrie | 4.13 | 4.32 | -0.19 |
Chase Anderson | 4.01 | 4.22 | -0.2 |
Jeff Samardzija | 2.99 | 3.2 | -0.21 |
Francisco Liriano | 3.38 | 3.59 | -0.21 |
Homer Bailey | 3.71 | 3.93 | -0.22 |
Matt Shoemaker | 3.04 | 3.26 | -0.22 |
Rick Porcello | 3.43 | 3.67 | -0.24 |
Jorge de la Rosa | 4.1 | 4.34 | -0.24 |
Zack Greinke | 2.71 | 2.97 | -0.26 |
Brad Peacock | 4.72 | 4.99 | -0.27 |
Masahiro Tanaka | 2.77 | 3.04 | -0.27 |
Jon Niese | 3.4 | 3.67 | -0.27 |
Mark Buehrle | 3.39 | 3.66 | -0.28 |
Dallas Keuchel | 2.93 | 3.21 | -0.29 |
Eric Stults | 4.3 | 4.63 | -0.33 |
Jon Lester | 2.46 | 2.8 | -0.34 |
T.J. House | 3.35 | 3.69 | -0.34 |
Wei-Yin Chen | 3.54 | 3.89 | -0.35 |
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