Rounding Third: Playing-Time Neutral SP Rankings

Rounding Third: Playing-Time Neutral SP Rankings

This article is part of our Rounding Third series.

Clayton Kershaw's rank and projection inspired two blogs by me on the notion of replacement value, how to apply that value to an otherwise incomplete projection and what risks are involved when doing so. But I thought I'd take this one step farther, and provide a set of playing-time neutral rankings for starting pitchers. This is something I've done for batters, but only twice in 2013 and 2012, and never for starting pitchers.

The goal is to identify some starting pitchers who might be undervalued on the basis of projected playing time, when otherwise their skills merit taking earlier than they are going, or how they are projected. This is especially helpful when hitting the middle to later rounds and you're looking to fill out your pitching staff.

First, here's a list of the current top 130 starting pitchers in a sortable chart:

RANKPLAYERGSWSGPKSGPERASGPWHIPSGPTOTALMRG$$VALVALUE
1 Max Scherzer 33 4.737 6.575 2.821 2.162 16.295 10.972 38.016 38
2 Jacob deGrom 33 3.947 5.977 3.154 1.470 14.548 9.225 32.122 32
3 Chris Sale 30 3.947 5.977 2.338 1.810 14.072 8.749 30.516 31
4 Justin Verlander 33 4.211 6.000 2.144 1.637 13.992 8.669 30.246 30
5 Corey Kluber 32 4.474 5.448 2.333 1.705 13.960 8.637 30.138 30
6 Aaron Nola 33 4.211 5.080 1.928 1.120 12.339 7.016 24.670 25
7 Blake Snell 32 3.947 4.598 2.617 1.048 12.210 6.887 24.234 24
8 Carlos Carrasco 32 4.211 5.310 1.142 0.873 11.536
Clayton Kershaw's rank and projection inspired two blogs by me on the notion of replacement value, how to apply that value to an otherwise incomplete projection and what risks are involved when doing so. But I thought I'd take this one step farther, and provide a set of playing-time neutral rankings for starting pitchers. This is something I've done for batters, but only twice in 2013 and 2012, and never for starting pitchers.

The goal is to identify some starting pitchers who might be undervalued on the basis of projected playing time, when otherwise their skills merit taking earlier than they are going, or how they are projected. This is especially helpful when hitting the middle to later rounds and you're looking to fill out your pitching staff.

First, here's a list of the current top 130 starting pitchers in a sortable chart:

RANKPLAYERGSWSGPKSGPERASGPWHIPSGPTOTALMRG$$VALVALUE
1 Max Scherzer 33 4.737 6.575 2.821 2.162 16.295 10.972 38.016 38
2 Jacob deGrom 33 3.947 5.977 3.154 1.470 14.548 9.225 32.122 32
3 Chris Sale 30 3.947 5.977 2.338 1.810 14.072 8.749 30.516 31
4 Justin Verlander 33 4.211 6.000 2.144 1.637 13.992 8.669 30.246 30
5 Corey Kluber 32 4.474 5.448 2.333 1.705 13.960 8.637 30.138 30
6 Aaron Nola 33 4.211 5.080 1.928 1.120 12.339 7.016 24.670 25
7 Blake Snell 32 3.947 4.598 2.617 1.048 12.210 6.887 24.234 24
8 Carlos Carrasco 32 4.211 5.310 1.142 0.873 11.536 6.213 21.961 22
9 Luis Severino 31 3.947 4.966 0.905 1.158 10.976 5.653 20.071 20
10 Jameson Taillon 33 4.211 3.655 1.656 1.099 10.621 5.298 18.874 19
11 Trevor Bauer 31 3.947 5.103 1.275 0.275 10.600 5.277 18.803 19
12 Mike Foltynewicz 31 3.947 4.414 1.491 0.659 10.511 5.188 18.503 19
13 Mike Clevinger 30 3.684 4.253 1.756 0.733 10.426 5.103 18.216 18
14 Noah Syndergaard 29 3.684 4.345 1.736 0.569 10.334 5.011 17.905 18
15 Gerrit Cole 31 3.684 5.080 0.852 0.697 10.313 4.990 17.835 18
16 Zack Greinke 32 3.684 4.460 1.155 0.946 10.245 4.922 17.605 18
17 Stephen Strasburg 29 3.684 4.851 0.879 0.791 10.205 4.882 17.470 17
18 Walker Buehler 31 2.632 4.322 1.765 1.220 9.939 4.616 16.573 17
19 Kyle Hendricks 32 3.421 3.747 1.553 0.858 9.579 4.256 15.358 15
20 Patrick Corbin 32 3.421 4.736 0.653 0.215 9.025 3.702 13.489 13
21 Clayton Kershaw 25 3.421 3.471 1.257 0.745 8.894 3.571 13.047 13
22 J.A. Happ 29 3.947 3.931 0.597 0.413 8.888 3.565 13.027 13
23 Luis Castillo 32 3.421 4.483 0.348 0.572 8.824 3.501 12.811 13
24 Jose Berrios 32 3.684 4.299 0.267 0.557 8.807 3.484 12.754 13
25 James Paxton 27 3.421 4.391 0.339 0.595 8.746 3.423 12.548 13
26 German Marquez 31 3.421 4.690 0.453 0.146 8.710 3.387 12.427 12
27 David Price 31 3.947 4.184 0.426 -0.024 8.533 3.210 11.829 12
28 Charlie Morton 27 3.684 3.931 0.608 0.287 8.510 3.187 11.752 12
29 Jack Flaherty 30 2.368 4.138 1.028 0.618 8.152 2.829 10.544 11
30 Madison Bumgarner 33 2.632 3.931 1.195 0.372 8.130 2.807 10.470 10
31 Rich Hill 23 3.158 3.494 0.770 0.702 8.124 2.801 10.450 10
32 Rick Porcello 33 3.947 4.299 -0.569 0.329 8.006 2.683 10.052 10
33 Zack Wheeler 31 3.421 4.069 0.292 0.115 7.897 2.574 9.684 10
34 Masahiro Tanaka 29 3.421 3.954 -0.114 0.598 7.859 2.536 9.556 10
35 Miles Mikolas 32 3.158 3.379 0.693 0.456 7.686 2.363 8.972 9
36 Carlos Martinez 27 2.895 3.839 0.947 0.003 7.684 2.361 8.965 9
37 Kevin Gausman 32 3.158 3.747 0.413 0.315 7.633 2.310 8.793 9
38 Yusei Kikuchi 29 2.368 4.046 0.746 0.454 7.614 2.291 8.729 9
39 Cole Hamels 29 3.421 3.747 0.171 0.091 7.430 2.107 8.108 8
40 Andrew Heaney 29 2.895 4.046 0.115 0.339 7.395 2.072 7.990 8
41 Jose Quintana 32 3.158 4.092 -0.012 0.058 7.296 1.973 7.656 8
42 Kyle Freeland 30 3.421 3.218 0.812 -0.276 7.175 1.852 7.248 7
43 Chris Archer 30 3.158 4.667 -0.513 -0.169 7.143 1.820 7.140 7
44 Jhoulys Chacin 33 3.158 3.425 0.199 0.203 6.985 1.662 6.607 7
45 Dallas Keuchel 29 3.158 3.287 0.492 0.040 6.977 1.654 6.580 7
46 Jon Lester 32 3.158 3.609 0.187 -0.193 6.761 1.438 5.851 6
47 Kenta Maeda 23 2.895 3.517 0.002 0.302 6.716 1.393 5.700 6
48 Jake Arrieta 30 3.158 3.563 -0.179 0.148 6.690 1.367 5.612 6
49 Trevor Williams 27 2.895 2.621 0.893 0.197 6.606 1.283 5.328 5
50 Marco Gonzales 31 2.632 3.563 -0.044 0.451 6.602 1.279 5.315 5
51 Brad Keller 30 3.158 3.149 0.397 -0.105 6.599 1.276 5.305 5
52 Mike Minor 30 2.895 3.218 -0.437 0.887 6.563 1.240 5.183 5
53 Joey Lucchesi 29 2.632 3.632 -0.086 0.263 6.441 1.118 4.772 5
54 Jakob Junis 30 2.632 3.678 -0.460 0.591 6.441 1.118 4.772 5
55 Chase Anderson 28 2.632 2.943 0.431 0.391 6.397 1.074 4.623 5
56 Ryan Yarbrough 14 2.632 2.943 0.499 0.307 6.381 1.058 4.569 5
57 Eduardo Rodriguez 27 2.895 3.862 -0.342 -0.042 6.373 1.050 4.542 5
58 Robbie Ray 27 1.842 4.391 0.238 -0.116 6.355 1.032 4.482 4
59 Tyler Glasnow 30 1.842 4.161 -0.205 0.534 6.332 1.009 4.404 4
60 Dereck Rodriguez 28 1.579 3.172 1.067 0.472 6.290 0.967 4.262 4
61 Joe Musgrove 26 2.632 3.333 -0.028 0.311 6.248 0.925 4.121 4
62 Sean Newcomb 30 2.895 3.862 -0.106 -0.424 6.227 0.904 4.050 4
63 Tanner Roark 31 3.158 3.609 -0.530 -0.051 6.186 0.863 3.911 4
64 CC Sabathia 28 2.895 3.103 0.311 -0.146 6.163 0.840 3.834 4
65 Zach Eflin 26 3.158 2.966 -0.377 0.328 6.075 0.752 3.537 4
66 Julio Teheran 31 2.368 3.655 -0.227 0.270 6.066 0.743 3.507 4
67 Shane Bieber 32 2.895 4.023 -0.838 -0.016 6.064 0.741 3.500 3
68 Carlos Rodon 28 2.632 3.379 0.005 0.033 6.049 0.726 3.449 3
69 Zack Godley 32 2.895 4.345 -0.849 -0.382 6.009 0.686 3.314 3
70 Gio Gonzalez 32 3.158 3.563 -0.413 -0.318 5.990 0.667 3.250 3
71 Reynaldo Lopez 32 2.368 3.724 -0.117 -0.014 5.961 0.638 3.152 3
72 Hyun-Jin Ryu 20 2.105 2.437 1.063 0.290 5.895 0.572 2.930 3
73 Yu Darvish 26 2.105 4.000 -0.210 -0.031 5.864 0.541 2.825 3
74 Lance Lynn 31 2.895 3.655 -0.155 -0.595 5.800 0.477 2.609 3
75 Alex Wood 28 2.368 3.195 0.200 0.023 5.786 0.463 2.562 3
76 Matt Boyd 32 2.632 3.586 -0.565 -0.013 5.640 0.317 2.069 2
77 Tyler Skaggs 29 2.632 3.402 -0.168 -0.264 5.602 0.279 1.941 2
78 Yonny Chirinos 16 1.579 2.529 0.990 0.422 5.520 0.197 1.665 2
79 Jon Gray 31 2.895 4.184 -1.345 -0.215 5.519 0.196 1.661 2
80 Freddy Peralta 19 2.368 3.126 -0.129 0.125 5.490 0.167 1.563 2
81 Nick Pivetta 30 2.368 4.092 -1.018 0.004 5.446 0.123 1.415 1
82 Sonny Gray 29 2.632 3.540 -1.031 0.270 5.411 0.088 1.297 1
83 Nathan Eovaldi 26 2.632 2.851 -0.347 0.261 5.397 0.074 1.250 1
84 Trevor Richards 30 1.842 3.839 -0.336 0.044 5.389 0.066 1.223 1
85 Dylan Bundy 31 3.158 4.414 -1.912 -0.317 5.343 0.020 1.067 1
86 Josh James 20 2.105 3.103 0.091 0.036 5.335 0.012 1.040 1
87 Collin McHugh 10 1.842 2.230 0.711 0.281 5.064 -0.259 0.126 0
88 Jose Urena 27 2.632 2.575 -0.365 0.169 5.011 -0.312 -0.053 0
89 Ryan Borucki 29 2.368 2.874 -0.295 0.022 4.969 -0.354 -0.194 0
90 Kyle Gibson 30 2.895 3.379 -0.659 -0.692 4.923 -0.400 -0.349 0
91 Ivan Nova 30 2.632 2.805 -0.530 -0.002 4.905 -0.418 -0.410 0
92 Jake Odorizzi 31 2.105 3.471 -0.620 -0.105 4.851 -0.472 -0.592 -1
93 Clay Buchholz 18 1.842 2.069 0.630 0.308 4.849 -0.474 -0.599 -1
94 Corbin Burnes 24 1.842 3.057 0.014 -0.138 4.775 -0.548 -0.849 -1
95 Tyler Anderson 29 2.368 3.471 -1.009 -0.059 4.771 -0.552 -0.862 -1
96 Jonathan Loaisiga 19 1.842 2.805 0.063 0.004 4.714 -0.609 -1.055 -1
97 Danny Duffy 27 2.368 3.333 -0.638 -0.385 4.678 -0.645 -1.176 -1
98 Sandy Alcantara 27 1.842 3.333 -0.110 -0.393 4.672 -0.651 -1.196 -1
99 Mike Leake 31 2.632 2.851 -0.704 -0.126 4.653 -0.670 -1.260 -1
100 Ervin Santana 22 1.842 2.437 0.056 0.294 4.629 -0.694 -1.341 -1
101 Marcus Stroman 31 2.368 3.333 -0.600 -0.495 4.606 -0.717 -1.419 -1
102 Mike Fiers 30 2.632 3.241 -0.976 -0.407 4.490 -0.833 -1.810 -2
103 Fernando Romero 21 1.842 2.391 0.269 -0.036 4.466 -0.857 -1.891 -2
104 Michael Wacha 22 2.368 2.460 -0.133 -0.234 4.461 -0.862 -1.908 -2
105 Anthony DeSclafani 24 2.105 2.874 -0.502 -0.028 4.449 -0.874 -1.949 -2
106 Michael Fulmer 25 1.842 2.644 -0.305 0.239 4.420 -0.903 -2.046 -2
107 Alex Cobb 28 2.105 2.736 -0.401 -0.110 4.330 -0.993 -2.350 -2
108 Steven Matz 28 1.842 3.126 -0.580 -0.078 4.310 -1.013 -2.418 -2
109 Joe Ross 24 1.842 2.782 0.014 -0.351 4.287 -1.036 -2.495 -2
110 Brandon Woodruff 14 1.842 2.138 0.033 0.104 4.117 -1.206 -3.069 -3
111 Alex Reyes 14 1.579 2.253 0.319 -0.131 4.020 -1.303 -3.396 -3
112 Caleb Smith 21 1.579 2.667 -0.253 0.004 3.997 -1.326 -3.473 -3
113 Wade LeBlanc 15 1.579 2.115 0.003 0.300 3.997 -1.326 -3.473 -3
114 Mike Soroka 17 1.579 1.793 0.474 0.139 3.985 -1.338 -3.514 -4
115 Touki Toussaint 15 1.579 2.138 0.199 -0.012 3.904 -1.419 -3.787 -4
116 Jesus Luzardo 16 1.316 1.931 0.497 0.145 3.889 -1.434 -3.838 -4
117 Steven Wright 11 1.579 1.655 0.598 0.016 3.848 -1.475 -3.976 -4
118 Tyson Ross 20 1.842 2.483 -0.642 0.106 3.789 -1.534 -4.175 -4
119 Forrest Whitley 14 1.316 1.724 0.279 0.455 3.774 -1.549 -4.226 -4
120 Ross Stripling 5 1.053 2.069 0.427 0.170 3.719 -1.604 -4.411 -4
121 Adalberto Mejia 19 1.579 1.931 0.359 -0.151 3.718 -1.605 -4.415 -4
122 John Gant 17 1.579 2.115 0.250 -0.230 3.714 -1.609 -4.428 -4
123 Andrew Suarez 26 1.579 2.828 -0.508 -0.195 3.704 -1.619 -4.462 -4
124 Vince Velasquez 26 2.105 3.218 -1.257 -0.424 3.642 -1.681 -4.671 -5
125 Jeremy Hellickson 25 1.842 2.069 -0.690 0.414 3.635 -1.688 -4.695 -5
126 Anibal Sanchez 22 1.579 2.874 -0.720 -0.128 3.605 -1.718 -4.796 -5
127 Eric Lauer 24 1.842 2.621 -0.230 -0.663 3.570 -1.753 -4.914 -5
128 Dan Straily 31 2.105 3.195 -1.088 -0.706 3.506 -1.817 -5.130 -5
129 Jimmy Nelson 23 2.105 2.667 -0.647 -0.641 3.484 -1.839 -5.204 -5
130 Julio Urias 17 1.579 1.885 0.109 -0.089 3.484 -1.839 -5.204 -5

I went to 130 pitchers to incorporate a wide range of potential starters taken in our drafts, even though your standard 12-team mixed league will have only 108 active pitchers at any given time. That, and I wanted to make sure to include Julio Urias in the original set as he's a really interesting case.

Methodology

I use SGPs when computing the dollar values for the site and the magazine. There are other good methods to value players, but I've found this works best for me. Perhaps if had better programming/Excel skills, I'd be able to come up with something better. Anyhow, for this exercise, I calculated the SGPs earned per start for each pitcher, and then set each pitcher for 30 starts.

Why 30 starts, and not a full 33 starts? I wanted to make sure that *some* injury risk was accounted for, and address that pitchers as a class make fewer starts per year than they have in the past. But … I also want to see middle-and-lower tier starters who are nonetheless durable enough to get projected for 32-33 starts, like Mike Leake, get lowered a bit by this exercise. Closers were obviously excluded from this exercise - that's a tautology given that I'm using starts as my baseline, but even if I were using innings pitched instead I'd still exclude them, because their currency is almost entirely based on saves and not innings pitched. It's an opportunity stat, not a volume stat.

Results

It should come as no surprise that the pitchers who benefited the most from this exercise either had elite ratios (like Clayton Kershaw), or had significantly fewer starts than the 30-start baseline.

Here are the full numbers, also in a sortable chart:

RANKPREVIOUSPLAYERGSWSGPKSGPERASGPWHIPSGPTOTALTOTAL/GSSGP30
1 1 Max Scherzer 33 4.737 6.575 2.821 2.162 16.295 0.49 14.81
2 3 Chris Sale 30 3.947 5.977 2.338 1.810 14.073 0.47 14.07
3 2 Jacob deGrom 33 3.947 5.977 3.154 1.470 14.549 0.44 13.23
4 5 Corey Kluber 32 4.474 5.448 2.333 1.705 13.961 0.44 13.09
5 4 Justin Verlander 33 4.211 6.000 2.144 1.637 13.992 0.42 12.72
6 7 Blake Snell 32 3.947 4.598 2.617 1.048 12.211 0.38 11.45
7 6 Aaron Nola 33 4.211 5.080 1.928 1.120 12.338 0.37 11.22
8 8 Carlos Carrasco 32 4.211 5.310 1.142 0.873 11.536 0.36 10.81
9 14 Noah Syndergaard 29 3.684 4.345 1.736 0.569 10.334 0.36 10.69
10 21 Clayton Kershaw 25 3.421 3.471 1.257 0.745 8.894 0.36 10.67
11 9 Luis Severino 31 3.947 4.966 0.905 1.158 10.977 0.35 10.62
12 31 Rich Hill 23 3.158 3.494 0.770 0.702 8.125 0.35 10.60
13 17 Stephen Strasburg 29 3.684 4.851 0.879 0.791 10.205 0.35 10.56
14 13 Mike Clevinger 30 3.684 4.253 1.756 0.733 10.427 0.35 10.43
15 11 Trevor Bauer 31 3.947 5.103 1.275 0.275 10.601 0.34 10.26
16 12 Mike Foltynewicz 31 3.947 4.414 1.491 0.659 10.512 0.34 10.17
17 15 Gerrit Cole 31 3.684 5.080 0.852 0.697 10.314 0.33 9.98
18 25 James Paxton 27 3.421 4.391 0.339 0.595 8.746 0.32 9.72
19 10 Jameson Taillon 33 4.211 3.655 1.656 1.099 10.620 0.32 9.65
20 18 Walker Buehler 31 2.632 4.322 1.765 1.220 9.938 0.32 9.62
21 16 Zack Greinke 32 3.684 4.460 1.155 0.946 10.245 0.32 9.61
22 28 Charlie Morton 27 3.684 3.931 0.608 0.287 8.511 0.32 9.46
23 22 J.A. Happ 29 3.947 3.931 0.597 0.413 8.888 0.31 9.19
24 19 Kyle Hendricks 32 3.421 3.747 1.553 0.858 9.579 0.3 8.98
25 72 Hyun-Jin Ryu 20 2.105 2.437 1.063 0.290 5.895 0.29 8.84
26 110 Brandon Woodruff 14 1.842 2.138 0.033 0.104 4.117 0.29 8.82
27 47 Kenta Maeda 23 2.895 3.517 0.002 0.302 6.716 0.29 8.76
28 80 Freddy Peralta 19 2.368 3.126 -0.129 0.125 5.490 0.29 8.67
29 111 Alex Reyes 14 1.579 2.253 0.319 -0.131 4.020 0.29 8.61
30 36 Carlos Martinez 27 2.895 3.839 0.947 0.003 7.684 0.28 8.54
31 20 Patrick Corbin 32 3.421 4.736 0.653 0.215 9.025 0.28 8.46
32 26 German Marquez 31 3.421 4.690 0.453 0.146 8.710 0.28 8.43
33 23 Luis Castillo 32 3.421 4.483 0.348 0.572 8.824 0.28 8.27
34 27 David Price 31 3.947 4.184 0.426 -0.024 8.533 0.28 8.26
35 24 Jose Berrios 32 3.684 4.299 0.267 0.557 8.807 0.28 8.26
36 29 Jack Flaherty 30 2.368 4.138 1.028 0.618 8.153 0.27 8.15
37 34 Masahiro Tanaka 29 3.421 3.954 -0.114 0.598 7.859 0.27 8.13
38 119 Forrest Whitley 14 1.316 1.724 0.279 0.455 3.774 0.27 8.09
39 93 Clay Buchholz 18 1.842 2.069 0.630 0.308 4.849 0.27 8.08
40 86 Josh James 20 2.105 3.103 0.091 0.036 5.336 0.27 8.00
41 113 Wade LeBlanc 15 1.579 2.115 0.003 0.300 3.996 0.27 7.99
42 38 Yusei Kikuchi 29 2.368 4.046 0.746 0.454 7.614 0.26 7.88
43 115 Touki Toussaint 15 1.579 2.138 0.199 -0.012 3.903 0.26 7.81
44 39 Cole Hamels 29 3.421 3.747 0.171 0.091 7.430 0.26 7.69
45 40 Andrew Heaney 29 2.895 4.046 0.115 0.339 7.395 0.25 7.65
46 33 Zack Wheeler 31 3.421 4.069 0.292 0.115 7.897 0.25 7.64
47 96 Jonathan Loaisiga 19 1.842 2.805 0.063 0.004 4.714 0.25 7.44
48 30 Madison Bumgarner 33 2.632 3.931 1.195 0.372 8.129 0.25 7.39
49 49 Trevor Williams 27 2.895 2.621 0.893 0.197 6.606 0.24 7.34
50 116 Jesus Luzardo 16 1.316 1.931 0.497 0.145 3.889 0.24 7.29
51 32 Rick Porcello 33 3.947 4.299 -0.569 0.329 8.006 0.24 7.28
52 45 Dallas Keuchel 29 3.158 3.287 0.492 0.040 6.977 0.24 7.22
53 61 Joe Musgrove 26 2.632 3.333 -0.028 0.311 6.248 0.24 7.21
54 35 Miles Mikolas 32 3.158 3.379 0.693 0.456 7.687 0.24 7.21
55 42 Kyle Freeland 30 3.421 3.218 0.812 -0.276 7.176 0.24 7.18
56 37 Kevin Gausman 32 3.158 3.747 0.413 0.315 7.633 0.24 7.16
57 43 Chris Archer 30 3.158 4.667 -0.513 -0.169 7.143 0.24 7.14
58 57 Eduardo Rodriguez 27 2.895 3.862 -0.342 -0.042 6.373 0.24 7.08
59 58 Robbie Ray 27 1.842 4.391 0.238 -0.116 6.355 0.24 7.06
60 114 Mike Soroka 17 1.579 1.793 0.474 0.139 3.985 0.23 7.03
61 65 Zach Eflin 26 3.158 2.966 -0.377 0.328 6.075 0.23 7.01
62 -- Daniel Poncedeleon 10 0.789 1.287 0.290 -0.034 2.333 0.23 7.00
63 55 Chase Anderson 28 2.632 2.943 0.431 0.391 6.397 0.23 6.85
64 41 Jose Quintana 32 3.158 4.092 -0.012 0.058 7.296 0.23 6.84
65 73 Yu Darvish 26 2.105 4.000 -0.210 -0.031 5.864 0.23 6.77
66 60 Dereck Rodriguez 28 1.579 3.172 1.067 0.472 6.290 0.22 6.74
67 48 Jake Arrieta 30 3.158 3.563 -0.179 0.148 6.690 0.22 6.69
68 53 Joey Lucchesi 29 2.632 3.632 -0.086 0.263 6.441 0.22 6.66
69 -- Roenis Elias 13 1.053 1.678 0.202 -0.047 2.886 0.22 6.66
70 64 CC Sabathia 28 2.895 3.103 0.311 -0.146 6.163 0.22 6.60
71 51 Brad Keller 30 3.158 3.149 0.397 -0.105 6.599 0.22 6.60
72 52 Mike Minor 30 2.895 3.218 -0.437 0.887 6.563 0.22 6.56
73 122 John Gant 17 1.579 2.115 0.250 -0.230 3.715 0.22 6.56
74 68 Carlos Rodon 28 2.632 3.379 0.005 0.033 6.049 0.22 6.48
75 54 Jakob Junis 30 2.632 3.678 -0.460 0.591 6.441 0.21 6.44
76 50 Marco Gonzales 31 2.632 3.563 -0.044 0.451 6.602 0.21 6.39
77 103 Fernando Romero 21 1.842 2.391 0.269 -0.036 4.466 0.21 6.38
78 44 Jhoulys Chacin 33 3.158 3.425 0.199 0.203 6.985 0.21 6.35
79 46 Jon Lester 32 3.158 3.609 0.187 -0.193 6.761 0.21 6.34
80 59 Tyler Glasnow 30 1.842 4.161 -0.205 0.534 6.332 0.21 6.33
81 100 Ervin Santana 22 1.842 2.437 0.056 0.294 4.629 0.21 6.31
82 83 Nathan Eovaldi 26 2.632 2.851 -0.347 0.261 5.397 0.21 6.23
83 62 Sean Newcomb 30 2.895 3.862 -0.106 -0.424 6.227 0.21 6.23
84 75 Alex Wood 28 2.368 3.195 0.200 0.023 5.787 0.21 6.20
85 130 Julio Urias 17 1.579 1.885 0.109 -0.089 3.483 0.2 6.15
86 104 Michael Wacha 22 2.368 2.460 -0.133 -0.234 4.462 0.2 6.08
87 63 Tanner Roark 31 3.158 3.609 -0.530 -0.051 6.186 0.2 5.99
88 94 Corbin Burnes 24 1.842 3.057 0.014 -0.138 4.776 0.2 5.97
89 -- Mitch Keller 11 0.789 1.264 0.044 0.085 2.183 0.2 5.95
90 66 Julio Teheran 31 2.368 3.655 -0.227 0.270 6.067 0.2 5.87
91 121 Adalberto Mejia 19 1.579 1.931 0.359 -0.151 3.718 0.2 5.87
92 77 Tyler Skaggs 29 2.632 3.402 -0.168 -0.264 5.602 0.19 5.80
93 -- Trevor Cahill 18 1.316 2.483 -0.137 -0.201 3.460 0.19 5.77
94 -- Matt Shoemaker 15 1.579 1.747 -0.486 0.034 2.873 0.19 5.75
95 112 Caleb Smith 21 1.579 2.667 -0.253 0.004 3.996 0.19 5.71
96 67 Shane Bieber 32 2.895 4.023 -0.838 -0.016 6.063 0.19 5.68
97 118 Tyson Ross 20 1.842 2.483 -0.642 0.106 3.788 0.19 5.68
98 69 Zack Godley 32 2.895 4.345 -0.849 -0.382 6.008 0.19 5.63
99 70 Gio Gonzalez 32 3.158 3.563 -0.413 -0.318 5.990 0.19 5.62
100 74 Lance Lynn 31 2.895 3.655 -0.155 -0.595 5.800 0.19 5.61
101 82 Sonny Gray 29 2.632 3.540 -1.031 0.270 5.411 0.19 5.60
102 71 Reynaldo Lopez 32 2.368 3.724 -0.117 -0.014 5.962 0.19 5.59
103 88 Jose Urena 27 2.632 2.575 -0.365 0.169 5.010 0.19 5.57
104 105 Anthony DeSclafani 24 2.105 2.874 -0.502 -0.028 4.448 0.19 5.56
105 81 Nick Pivetta 30 2.368 4.092 -1.018 0.004 5.447 0.18 5.45
106 84 Trevor Richards 30 1.842 3.839 -0.336 0.044 5.389 0.18 5.39
107 109 Joe Ross 24 1.842 2.782 0.014 -0.351 4.287 0.18 5.36
108 79 Jon Gray 31 2.895 4.184 -1.345 -0.215 5.519 0.18 5.34
109 -- Antonio Senzatela 19 1.842 2.207 -0.534 -0.156 3.360 0.18 5.30
110 106 Michael Fulmer 25 1.842 2.644 -0.305 0.239 4.420 0.18 5.30
111 76 Matt Boyd 32 2.632 3.586 -0.565 -0.013 5.639 0.18 5.29
112 97 Danny Duffy 27 2.368 3.333 -0.638 -0.385 4.679 0.17 5.20
113 98 Sandy Alcantara 27 1.842 3.333 -0.110 -0.393 4.672 0.17 5.19
114 85 Dylan Bundy 31 3.158 4.414 -1.912 -0.317 5.343 0.17 5.17
115 89 Ryan Borucki 29 2.368 2.874 -0.295 0.022 4.970 0.17 5.14
116 -- Dylan Cease 9 0.526 1.103 0.019 -0.113 1.535 0.17 5.12
117 95 Tyler Anderson 29 2.368 3.471 -1.009 -0.059 4.772 0.16 4.94
118 90 Kyle Gibson 30 2.895 3.379 -0.659 -0.692 4.923 0.16 4.92
119 126 Anibal Sanchez 22 1.579 2.874 -0.720 -0.128 3.605 0.16 4.92
120 91 Ivan Nova 30 2.632 2.805 -0.530 -0.002 4.903 0.16 4.90
121 -- Jake Faria 21 1.579 2.575 -0.571 -0.240 3.343 0.16 4.78
122 92 Jake Odorizzi 31 2.105 3.471 -0.620 -0.105 4.852 0.16 4.70
123 107 Alex Cobb 28 2.105 2.736 -0.401 -0.110 4.330 0.15 4.64
124 -- Max Fried 12 0.789 1.701 -0.298 -0.341 1.852 0.15 4.63
125 108 Steven Matz 28 1.842 3.126 -0.580 -0.078 4.311 0.15 4.62
126 -- Michael Pineda 20 1.579 2.506 -0.876 -0.131 3.078 0.15 4.62
127 -- Jeff Samardzija 21 1.579 2.552 -0.987 0.083 3.227 0.15 4.61
128 129 Jimmy Nelson 23 2.105 2.667 -0.647 -0.641 3.484 0.15 4.54
129 -- Zach Davies 22 1.842 2.023 -0.352 -0.200 3.313 0.15 4.52
130 99 Mike Leake 31 2.632 2.851 -0.704 -0.126 4.652 0.15 4.50
131 102 Mike Fiers 30 2.632 3.241 -0.976 -0.407 4.491 0.15 4.49
132 -- Chris Bassitt 15 1.053 1.333 0.035 -0.187 2.233 0.15 4.47
133 127 Eric Lauer 24 1.842 2.621 -0.230 -0.663 3.570 0.15 4.46

It should come as no surprise that Dodgers benefit from this exercise. Clayton Kershaw went from 21 to 10, Rich Hill went all the way from 31 to 12 (as he went from 23 projected starts to 30), Kenta Maeda improved from 47 to 27, Hyun-Jin Ryu leaped from 72 to 25 and Julio Urias jumped from 130 to 85. Only Walker Buehler among the Dodgers starters didn't benefit, as he's the only one projected with a full compliment of starts. In fact, I had to exclude a seventh starter, Ross Stripling, because his improvement made him such an outlier that it would have thrown off the entire scale. That's probably an indictment of my methodology, or my projection for Stripling, which gives him only five starts for now, but I digress. In fact, I'm going to bump that up after this article – probably somewhere closer to 15 starts. But I view him as their seventh option, though one could debate that between him and Urias.

The Dodgers do present an issue to us, in that they plan on their pitchers skipping some starts here-and-there, and they also pitch shorter outings. Alex Wood led the team in starts with 27, and Clayton Kershaw led them in innings pitched at 161.1 last season. Seven starters made 15 or more starts, with Ryu coming in at 15 starts. Some of this is because of injury (Hill, Ryu), and some of this is to shifting roles, like Maeda and Stripling. But make no mistake, this is the residue of design, not happenstance. The Dodgers built up their depth in starters precisely to account for fragility and to prevent catastrophic loss. In 2017, Kershaw led them with 27 starts and 175 innings, and six starters had 16-plus starts. In 2016, Maeda was a bit of an outlier with 32 starts, but even then he only pitched 175.2 innings. Nobody else reached 150 innings. Under the Andrew Friedman/Farhan Zaidi/Dave Roberts regime, this is a feature, not a bug.

Consequently, these pitchers necessarily have fewer projected starts. It would be irresponsible to bump them all up. In fact, now I'm a little worried about Walker Buehler's projection in that it might be too optimistic. This point holds altogether – we're trying to find upside among pitchers that for whatever reason have fewer starts – in part because they are going to be more optimally used than a Mike Leake type of pitcher. But the fact is they are projected for fewer starts for good reason, and thus need a little discount at the draft table.

The Dodgers are not the only problematic team. The Astros have similar starting pitching depth, and that just got better with the addition of Wade Miley. I had to exclude Collin McHugh's results because I still have a projection where he's working the bullpen for the majority of the season, and his ratios in relief have been through the roof. Obviously there's going to be some degradation in quality when he's stretched out as a starter. The Rays have pioneered the use of an opener, which makes "starts" a laughable concept for those of us doing projections. Still, to try to preserve the value of the pitchers that come in the game in the second inning and have some length, like Yonny Chirinos and Ryan Yarbrough, I have projected a modicum of starts for them. But pushing them up to 30 starts really skews their values as well, so they've been excluded.

Who else benefits from neutralizing the playing time?

Injury Prone Starters - James Paxton hasn't topped 28 starts or 160 innings in a big league season, but if he ever were to get a full set of starts, his value would obviously spike.

Prospects - Jesus Luzardo and especially Forrest Whitley are projected to begin the season in the minors and thus have fewer projected starts, but what if injuries strike or each pitcher dominates so much as to get an April callup?

Job Battles - This is loosely tied with prospects, as typically the pitchers that are projected with hybrid relief/starter roles are young pitchers that aren't fully established yet, though the difference is that their team is willing to use them in relief to keep them at the big league level. Ross Stripling fits this category, as does Daniel Poncedeleon on the Cardinals. The Cardinals have remarkable starting pitching depth this year and are particularly difficult to project after the top two starters.

I mentioned the possibility of running the numbers using a different methodology – you could make the case that innings rather than starts should be my denominator. In fact, FanGraphs does that, with its Steamer 600 projections, which are set to 200 innings as their baseline. But they also don't filter out relievers in the process, which makes the results difficult to review for fantasy purposes. I also think I'd set the baseline closer to 185 innings, for the same reason that I set the starts to 30 rather than 32 or 33.

But even if I did that, some of the problems that existed with my methodology would remain. Relief pitchers produce better ratios than starters because they can go max-effort, don't have to go through an order twice in an outing, and in many cases get to face optimal matchups – either batters with the same handedness, or pinch-hitters who aren't good enough to start. And you can see that with the Steamer 600 results – pitchers like Ray Black and Diego Castillo rank high, despite not having a fantasy friendly role. If you have enough of a dataset to strip out his ratios as a starter vs. his ratios as a reliever, then you might find an innings-based approach to be more helpful.

This is just one way to spot a few outliers, but it's a good reminder how much of a role projected opportunity plays in our rankings, whether you use RotoWire, Steamer or any other source. Hopefully this helps you spot potential upside in a few starters who can give you an advantage in the endgame, or illustrates a pitcher that could be undervalued. We'll do a similar exercise with batters in this space in the next installment.

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ABOUT THE AUTHOR
Jeff Erickson
Jeff Erickson is a co-founder of RotoWire and the only two-time winner of Baseball Writer of the Year from the Fantasy Sports Writers Association. He's also in the FSWA Hall of Fame. He roots for the Reds, Bengals, Red Wings, Pacers and Northwestern University (the real NU).
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