Two-Start Pitchers: Week of May 14-20

PITTSBURGH, PA - MAY 10: Stephen Strasburg #37 of the Washington Nationals pitches against the Pittsburgh Pirates during the game on May 10, 2012 at PNC Park in Pittsburgh, Pennsylvania. (Photo by Justin K. Aller/Getty Images)

This week is a full week, as each team plays a two-game series Wednesday and Thursday before Interleague Play starts on the weekend (2 NL teams excepted, of course). No teams have any scheduled days off this week, so we have a total of 58 two-start pitchers. The only reason we don't have an even 60 is that two teams - the Rangers and the Royals - have spot starters listed as probables during the week. It's possible that the Angels will follow suit, what with C.J. Wilson sort of starting twice in a row this weekend, but as of now no announcements have been made and there's not even any reliable speculation going on at this point in time, so we will proceed as normal.

As always, a Google Spreadsheet has been provided so that you may sort to your heart's content. Like last week, I've included statistics known to stabilize at 150 total batters faced (TBF): K%, GB%, and LD%. I've also included ERA, xFIP, and ERA-xFIP for reference. I've also listed park factors (from 2011) and the MLB rank of each pitcher's opposing offense by OBP. (Psst: This stuff can come in handy for Pick 6, too.) Ratings range from 0.5 to 5. They are subjective and based on perceived skill level, current and expected performance, park factors, and offenses faced. These are not rest of season ranks. Rather, the ratings represent how I think pitchers will do in a small sample size and in a specific context. This is a risky proposition, as Pick 6 players know, and the science is even more inexact when thinking about games a week away.

I've removed the comments for each pitcher, for the following reasons: (1) It allows me to fit all the necessary statistics into the post, (2) Most of the comments stated the obvious anyway, and (3) Frankly, it was a lot of work for what I perceived to be a minimal payoff. I'm always happy to discuss specific players in the comments and on Twitter.

Follow the jump for this week's two-start pitchers.

In order to view the entire table, make sure you are viewing this page in "wide" mode. You may switch modes via the gray box in the upper right corner of the page. As always, starting pitchers are subject to change.

Pitcher This Week's Schedule Own% Rating PF (2011) OppO TBF K% GB% LD% ERA xFIP ERA-xFIP
Stephen Strasburg T (SD), Su (BAL) 99 4.5 18, 18 22, 18 170 30.0% 45.6% 22.3% 1.64 2.55 -0.91
CC Sabathia T (@BAL), Su (CIN) 99 4.5 12, 6 18, 26 209 25.4% 49.3% 20.4% 3.51 2.68 0.83
Tim Lincecum T (COL), Su (OAK) 98 4.5 30, 30 10, 28 169 24.3% 47.1% 26.0% 5.89 3.4 2.49
Dan Haren M (@OAK), Sa (SD) 97 4.5 20, 27 28, 22 180 19.4% 37.4% 22.9% 4.19 3.62 0.57
Cliff Lee T (HOU), Su (BOS) 99 4 11, 11 11, 7 102 23.5% 61.6% 17.8% 2.17 2.32 -0.15
David Price T (@TOR), Su (ATL) 98 4 4, 29 14, 8 188 20.7% 50.0% 24.2% 2.98 3.32 -0.34
Clayton Kershaw M (ARI), Sa (STL) 99 4 22, 22 12, 1 177 23.2% 51.6% 19.7% 2.56 2.8 -0.24
Zack Greinke T (@NYM), Su (SEA) 98 4 24, 10 3, 29 175 26.3% 48.3% 26.7% 3.35 2.44 0.91
Ian Kennedy M (@LAD), Sa (@KC) 97 4 22, 13 6, 13 194 19.1% 38.8% 19.4% 3.91 3.93 -0.02
Anibal Sanchez M (PIT), Sa (@CLE) 88 4 -, 16 30, 5 164 28.1% 49.0% 13.0% 2.01 2.86 -0.85
Matt Garza T (@STL), Su (CWS) 95 4 25, 23 1, 21 149 26.2% 44.9% 16.9% 2.56 3.46 -0.9
Jon Lester M (SEA), Sa (@PHI) 96 4 3, 11 29, 23 177 15.8% 50.4% 20.9% 4.29 4.19 0.1
Ervin Santana T (@OAK), Su (SD) 61 4 20, 27 28, 22 194 15.5% 48.0% 18.9% 5.09 4.16 0.93
Max Scherzer T (@CWS), Su (PIT) 65 3.5 14, 9 21, 30 172 26.2% 37.4% 20.6% 5.73 3.64 2.09
Josh Johnson T (PIT), Su (@CLE) 88 3.5 -, 16 30, 5 172 18.6% 51.6% 27.0% 5.87 3.39 2.48
Jason Hammel M (NYY), Sa (@WAS) 72 3.5 12, 18 4, 16 149 25.5% 61.0% 13.0% 2.09 2.77 -0.68
Drew Smyly M (@CWS), Sa (PIT) 36 3.5 14, 9 21, 30 135 25.2% 44.3% 18.2% 1.59 3.26 -1.67
Yovani Gallardo M (@NYM), Sa (SEA) 95 3.5 24, 10 3, 29 174 22.4% 37.9% 21.6% 5.35 3.85 1.5
Brandon Morrow M (TB), Sa (@NYM) 90 3.5 4, 24 9, 3 184 21.2% 44.6% 13.1% 2.27 3.66 -1.39
Jake Peavy T (DET), Su (@CHC) 90 3.5 14, 23 17, 24 195 22.6% 28.7% 21.7% 1.89 3.6 -1.71
Ryan Dempster M (@STL), Sa (CWS) 79 3.5 25, 23 1, 21 134 26.9% 36.8% 33.3% 1.02 2.78 -1.76
Jake Westbrook M (CHC), Sa (@LAD) 44 3.5 25, 22 24, 6 162 16.7% 62.8% 19.0% 1.76 3.18 -1.42
Bartolo Colon T (@LAA), Su (@SF) 44 3.5 27, 30 27, 20 207 13.5% 43.3% 17.0% 3.96 4.18 -0.22
Anthony Bass T (@WAS), Su (LAA) 12 3.5 18, 26 16, 27 161 23.6% 52.8% 14.2% 3.23 3.32 -0.09
Tim Stauffer M (@WAS), Sa (LAA) 18 3 18, 26 16, 27 0 0.0% 0.0% 0.0% 0 0 0
Kyle Lohse T (CHC), Su (@LAD) 85 3 25, 22 24, 6 173 15.6% 41.5% 17.7% 2.08 4.08 -2
Chad Billingsley T (ARI), Su (STL) 76 3 22, 22 12, 1 169 20.1% 44.1% 18.6% 3.32 3.88 -0.56
Tim Hudson T (CIN), Su (@TB) 70 3 19, 29 26, 9 76 17.1% 64.2% 24.5% 4.5 2.97 1.53
Johnny Cueto T (@ATL), Su (@NYY) 89 3 19, 6 8, 4 192 16.2% 45.8% 22.9% 1.12 3.76 -2.64
Ross Detwiler M (SD), Sa (BAL) 51 3 18, 18 22, 18 136 18.4% 53.6% 9.3% 2.1 3.73 -1.63
Ryan Vogelsong M (COL), Sa (OAK) 43 3 30, 30 10, 28 144 18.1% 46.9% 14.6% 2.94 4.26 -1.32
Ivan Nova M (@BAL), Sa (CIN) 52 3 12, 6 18, 26 170 21.2% 44.6% 19.0% 5.02 3.68 1.34
Jeff Niemann M (@TOR), Sa (ATL) 10 3 4, 29 14, 8 141 21.3% 49.5% 20.6% 3.48 3.51 -0.03
Joe Blanton M (HOU), Sa (BOS) 14 3 11, 11 11, 7 170 16.5% 46.2% 21.5% 3.24 3.57 -0.33
Jeanmar Gomez M (@MIN), Sa (MIA) 2 3 21, 16 19, 25 120 14.2% 53.3% 17.4% 4.66 3.99 0.67
Tyson Ross M (@LAA), Sa (@SF) 1 3 27, 30 27, 20 120 10.8% 54.3% 24.5% 7.71 4.41 3.3
Colby Lewis T (KC), Su (@HOU) 84 2.5 1, 7 13, 11 186 23.1% 29.9% 20.1% 3.69 3.67 0.02
Wade Miley T (@LAD), Su (@KC) 18 2.5 22, 13 6, 13 136 16.2% 52.0% 17.6% 2.76 4.01 -1.25
Dillon Gee T (MIL), Su (@TOR) 4 2.5 24, 4 15, 14 165 20.0% 52.2% 23.5% 4.78 3.02 1.76
Wandy Rodriguez M (@PHI), Sa (TEX) 75 2.5 11, 7 23, 2 189 15.3% 49.7% 18.2% 2.14 3.84 -1.7
Randall Delgado M (CIN), Sa (@TB) 3 2.5 19, 29 26, 9 147 21.1% 50.5% 22.1% 4.54 3.69 0.85
Brad Lincoln M (@MIA), Sa (@DET) 1 2.5 -, 9 25, 17 56 28.6% 52.9% 26.5% 0.63 2.65 -2.02
Derek Lowe T (@MIN), Su (MIA) 0 2.5 21, 16 19, 25 190 6.8% 63.6% 16.0% 2.47 4.36 -1.89
Josh Beckett T (SEA), Su (@PHI) 82 2 3, 11 29, 23 152 17.1% 38.6% 18.4% 5.97 4.35 1.62
Jason Vargas M (@BOS), Sa (@COL) 37 2 3, 2 7, 10 201 18.9% 45.3% 16.2% 2.79 3.75 -0.96
John Danks M (DET), Sa (@CHC) 33 2 14, 23 17, 24 194 13.4% 39.2% 22.4% 5.89 4.77 1.12
Henderson Alvarez T (TB), Su (@NYM) 20 2 4, 24 9, 3 193 7.3% 58.1% 13.1% 2.61 4.68 -2.07
Christian Friedrich M (@SF), Sa (SEA) 2 2 30, 2 20, 29 24 29.2% 26.7% 26.7% 1.5 2.72 -1.22
Carl Pavano M (CLE), Sa (@MIL) 2 2 21, 10 5, 15 176 11.4% 44.8% 18.6% 5.02 4.21 0.81
Kevin Correia T (@MIA), Su (@DET) 2 2 -, 9 25, 17 150 8.7% 55.7% 18.0% 3.47 4.44 -0.97
Wei-Yin Chen T (NYY), Su (@WAS) 8 1.5 12, 18 4, 16 160 17.5% 32.2% 21.7% 2.68 4.46 -1.78
Lucas Harrell T (@PHI), Su (TEX) 1 1.5 11, 7 23, 2 173 11.0% 56.0% 18.7% 4.58 4.4 0.18
Bruce Chen M (@TEX), Sa (ARI) 4 1.5 1, 13 2, 12 168 16.1% 34.1% 23.5% 4.83 4.1 0.73
Jason Marquis T (CLE), Su (@MIL) 1 1.5 21, 10 5, 15 120 8.3% 57.3% 20.8% 6.26 4.71 1.55
Jeremy Guthrie T (@SF), Su (SEA) 1 1.5 30, 2 20, 29 108 4.6% 42.2% 21.1% 5.92 5.76 0.16
Homer Bailey M (@ATL), Sa (@NYY) 5 1 19, 6 8, 4 156 15.4% 39.0% 28.8% 4.93 4.29 0.64
Blake Beavan T (@BOS), Su (@COL) 1 1 3, 2 7, 10 143 9.8% 33.3% 20.0% 4.32 5.14 -0.82
Miguel Batista M (MIL), Sa (@TOR) 0 1 24, 4 15, 14 90 13.3% 53.3% 21.7% 5.89 5.39 0.5

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