2013 Fantasy Baseball Projections for Pitchers – Steamer Projections

Projections	Fantasy Baseball Dollar Values (Standard 5×5 unless noted)
Steamer Hit \| Steamer Pitch Grey Hit + Pitch	ESPN Roster: 10 \| 12 \| 15 \| 5X5OBP \| 6X6OBP \| 6X6 OPS \| 6×6 Holds \| 6×6 QS \| 7×7 QS+HLD Yahoo Roster: 10 \| 12 \| 15 2 Catcher: AL 10 \| AL 12 \| NL 10 \| NL 12

Download Hitters and Pitchers / Categories with * are projected by Razzball

Filter By Date for Stream-o-Nator or by Position for Player Raters (P = All Pitchers, -P = All Hitters):

Name	Team	Pos	IP	G	GS	W	QS*	L	SV*	HLD*	ERA	WHIP	K	BB	K/9	BB/9	K/BB	HR	GB%	FB%	LD%	Last Updated
Justin Verlander	DET	SP	224	31	31	17	22	7	0	0	3.36	1.16	216	61	8.7	2.4	3.6	25	41%	38%	21%	4/1/2013
CC Sabathia	NYA	SP	221	31	31	16	21	9	0	0	3.56	1.20	199	58	8.1	2.4	3.4	20	48%	32%	21%	4/1/2013
Felix Hernandez	SEA	SP	218	31	31	15	21	9	0	0	3.45	1.19	203	61	8.4	2.5	3.3	17	50%	30%	20%	4/1/2013
Cole Hamels	PHI	SP	215	31	31	16	21	8	0	0	3.40	1.15	205	56	8.6	2.3	3.7	22	46%	34%	21%	4/1/2013
Clayton Kershaw	LAD	SP	213	31	31	16	22	7	0	0	3.16	1.15	224	65	9.5	2.8	3.4	19	44%	36%	20%	4/1/2013
James Shields	KC	SP	213	31	31	15	20	9	0	0	3.67	1.23	183	59	7.7	2.5	3.1	19	46%	33%	21%	4/1/2013
Matt Cain	SF	SP	212	31	31	15	20	8	0	0	3.68	1.22	181	58	7.7	2.5	3.1	24	39%	41%	21%	4/1/2013
David Price	TB	SP	211	31	31	15	21	8	0	0	3.44	1.20	207	67	8.8	2.9	3.1	19	47%	33%	21%	4/1/2013
Jason Vargas	LAA	SP	204	31	31	14	18	9	0	0	4.38	1.32	127	56	5.6	2.5	2.3	27	38%	42%	20%	4/1/2013
Mark Buehrle	TOR	SP	202	31	31	12	17	11	0	0	4.82	1.38	112	49	5.0	2.2	2.3	25	42%	37%	21%	4/1/2013
R.A. Dickey	TOR	SP	197	28	28	13	18	9	0	0	4.16	1.29	149	55	6.8	2.5	2.7	20	45%	34%	21%	4/1/2013
Cliff Lee	PHI	SP	197	28	28	15	20	7	0	0	3.20	1.09	184	34	8.4	1.6	5.4	20	45%	35%	21%	4/1/2013
Bronson Arroyo	CIN	SP	196	31	31	13	17	10	0	0	4.59	1.32	119	45	5.5	2.1	2.7	28	41%	39%	21%	4/1/2013
Ian Kennedy	ARI	SP	196	31	31	14	18	9	0	0	3.89	1.24	168	55	7.7	2.5	3.0	24	38%	41%	21%	4/1/2013
Jered Weaver	LAA	SP	195	31	31	15	18	8	0	0	3.83	1.22	157	50	7.3	2.3	3.1	26	35%	45%	20%	4/1/2013
Trevor Cahill	ARI	SP	194	31	31	14	18	9	0	0	3.95	1.36	149	72	6.9	3.4	2.1	13	55%	24%	21%	4/1/2013
Gio Gonzalez	WAS	SP	193	31	31	14	19	8	0	0	3.53	1.25	195	76	9.1	3.5	2.6	15	48%	31%	21%	4/1/2013
Jon Lester	BOS	SP	193	31	31	14	18	8	0	0	3.79	1.31	165	70	7.7	3.3	2.4	15	48%	31%	21%	4/1/2013
Jake Peavy	CHA	SP	192	28	28	13	18	9	0	0	3.94	1.23	161	48	7.6	2.2	3.4	26	38%	42%	21%	4/1/2013
Yovani Gallardo	MIL	SP	192	31	31	14	18	9	0	0	3.76	1.26	186	68	8.7	3.2	2.7	17	46%	34%	21%	4/1/2013
Edwin Jackson	CHN	SP	189	31	31	13	17	9	0	0	3.97	1.29	158	63	7.5	3.0	2.5	17	47%	33%	21%	4/1/2013
Jordan Zimmermann	WAS	SP	189	31	31	13	18	9	0	0	3.79	1.22	151	46	7.2	2.2	3.3	19	43%	37%	21%	4/1/2013
Paul Maholm	ATL	SP	188	31	31	13	17	9	0	0	4.11	1.33	129	57	6.2	2.7	2.2	17	51%	29%	20%	4/1/2013
Justin Masterson	CLE	SP	188	31	31	13	17	10	0	0	4.19	1.38	139	70	6.6	3.3	2.0	15	53%	26%	21%	4/1/2013
Matt Harrison	TEX	SP	187	28	28	13	16	9	0	0	4.34	1.36	126	61	6.0	2.9	2.1	19	47%	32%	21%	4/1/2013
Hiroki Kuroda	NYA	SP	186	28	28	12	17	9	0	0	3.97	1.27	137	48	6.6	2.3	2.9	19	47%	33%	21%	4/1/2013
Clayton Richard	SD	SP	185	28	28	11	16	10	0	0	4.30	1.35	108	53	5.2	2.6	2.0	14	50%	30%	20%	4/1/2013
Wade Miley	ARI	SP	185	28	28	12	16	9	0	0	4.34	1.34	136	59	6.6	2.9	2.3	19	45%	34%	21%	4/1/2013
Yu Darvish	TEX	SP	185	28	28	15	18	6	0	0	3.38	1.20	195	65	9.5	3.2	3.0	16	46%	34%	21%	4/1/2013
Chris Sale	CHA	SP	185	28	28	13	18	8	0	0	3.62	1.23	186	64	9.0	3.1	2.9	19	46%	34%	21%	4/1/2013
Johnny Cueto	CIN	SP	184	28	28	13	17	8	0	0	3.99	1.27	144	52	7.0	2.5	2.8	18	48%	32%	21%	4/1/2013
Clay Buchholz	BOS	SP	183	28	28	12	16	9	0	0	4.41	1.39	130	66	6.4	3.3	2.0	16	46%	33%	21%	4/1/2013
A.J. Burnett	PIT	SP	183	28	28	13	17	8	0	0	3.83	1.31	152	67	7.5	3.3	2.3	14	51%	28%	21%	4/1/2013
Madison Bumgarner	SF	SP	182	28	28	14	18	7	0	0	3.49	1.18	166	48	8.2	2.3	3.5	16	46%	34%	21%	4/1/2013
Max Scherzer	DET	SP	181	31	31	15	18	7	0	0	3.43	1.18	186	57	9.2	2.8	3.3	20	39%	40%	21%	4/1/2013
Derek Holland	TEX	SP	180	28	28	13	16	8	0	0	4.07	1.30	148	61	7.4	3.0	2.4	20	43%	37%	21%	4/1/2013
Kyle Lohse	MIL	SP	179	28	28	12	16	9	0	0	4.32	1.29	123	44	6.2	2.2	2.8	22	43%	37%	21%	4/1/2013
Tim Hudson	ATL	SP	179	28	28	13	16	8	0	0	4.04	1.34	112	53	5.6	2.7	2.1	12	55%	25%	20%	4/1/2013
Jon Niese	NYN	SP	178	28	28	12	17	8	0	0	3.78	1.26	147	52	7.5	2.6	2.8	16	49%	31%	21%	4/1/2013
Mat Latos	CIN	SP	178	28	28	13	17	7	0	0	3.81	1.24	163	56	8.2	2.8	2.9	20	43%	37%	21%	4/1/2013
Joe Blanton	LAA	SP	177	28	28	13	16	8	0	0	3.94	1.22	131	40	6.6	2.0	3.3	20	43%	37%	20%	4/1/2013
Jeremy Hellickson	TB	SP	177	31	31	12	15	10	0	0	4.37	1.36	127	63	6.5	3.2	2.0	22	39%	40%	21%	4/1/2013
Stephen Strasburg	WAS	SP	177	28	28	14	19	6	0	0	2.83	1.08	210	52	10.7	2.6	4.0	14	45%	34%	21%	4/1/2013
Homer Bailey	CIN	SP	177	28	28	13	16	8	0	0	4.09	1.27	142	49	7.2	2.5	2.9	22	43%	36%	21%	4/1/2013
Anibal Sanchez	DET	SP	176	28	28	13	16	8	0	0	4.04	1.27	138	50	7.0	2.6	2.7	20	43%	37%	21%	4/1/2013
Kris Medlen	ATL	SP	175	28	28	13	17	7	0	0	3.61	1.21	146	46	7.5	2.4	3.2	16	49%	31%	20%	4/1/2013
Jarrod Parker	OAK	SP	175	28	28	11	16	9	0	0	4.23	1.36	136	68	7.0	3.5	2.0	16	46%	34%	20%	4/1/2013
Roy Halladay	PHI	SP	175	28	28	13	17	7	0	0	3.45	1.16	145	35	7.5	1.8	4.2	16	48%	31%	21%	4/1/2013
Zack Greinke	LAD	SP	175	28	28	14	18	7	0	0	3.26	1.15	169	46	8.7	2.4	3.7	14	49%	31%	20%	4/1/2013
Jeff Samardzija	CHN	SP	174	28	28	12	16	9	0	0	4.01	1.33	167	77	8.6	4.0	2.2	17	44%	36%	21%	4/1/2013
Jake Westbrook	STL	SP	174	28	28	12	16	8	0	0	4.14	1.40	104	59	5.4	3.0	1.8	12	56%	23%	21%	4/1/2013
Doug Fister	DET	SP	174	28	28	13	17	7	0	0	3.84	1.23	125	38	6.5	2.0	3.3	15	48%	32%	21%	4/1/2013
Adam Wainwright	STL	SP	174	28	28	14	14	7	0	0	3.47	1.20	151	46	7.8	2.4	3.3	14	50%	29%	21%	4/1/2013
Wandy Rodriguez	PIT	SP	173	28	28	12	16	9	0	0	4.19	1.33	122	56	6.4	2.9	2.2	15	47%	33%	21%	4/1/2013
Ryan Dempster	BOS	SP	173	28	28	12	16	8	0	0	4.19	1.34	140	62	7.3	3.2	2.3	17	42%	37%	21%	4/1/2013
Brandon McCarthy	ARI	SP	173	28	28	13	16	8	0	0	3.90	1.25	126	39	6.5	2.0	3.2	17	47%	32%	21%	4/1/2013
Josh Johnson	TOR	SP	173	28	28	12	16	8	0	0	4.17	1.32	145	58	7.5	3.0	2.5	17	44%	35%	21%	4/1/2013
Ricky Nolasco	MIA	SP	173	28	28	11	16	9	0	0	4.14	1.28	116	41	6.0	2.1	2.8	17	46%	34%	21%	4/1/2013
Tommy Milone	OAK	SP	172	28	28	12	16	8	0	0	3.90	1.22	126	36	6.6	1.9	3.5	21	40%	40%	20%	4/1/2013
Jeremy Guthrie	KC	SP	171	28	28	10	14	10	0	0	4.77	1.42	96	53	5.1	2.8	1.8	21	40%	39%	21%	4/1/2013
Ryan Vogelsong	SF	SP	171	28	28	12	15	8	0	0	4.14	1.34	138	65	7.2	3.4	2.1	17	44%	36%	21%	4/1/2013
Josh Beckett	LAD	SP	170	28	28	12	16	8	0	0	3.73	1.24	145	52	7.7	2.7	2.8	17	44%	36%	20%	4/1/2013
Lucas Harrell	HOU	SP	169	28	28	10	16	10	0	0	4.68	1.47	109	73	5.8	3.9	1.5	15	52%	28%	20%	4/1/2013
Wei-Yin Chen	BAL	SP	168	28	28	11	15	9	0	0	4.29	1.31	135	54	7.2	2.9	2.5	22	38%	41%	20%	4/1/2013
Mike Minor	ATL	SP	167	28	28	12	15	8	0	0	3.98	1.28	146	58	7.9	3.1	2.5	20	38%	42%	20%	4/1/2013
Kevin Correia	MIN	SP	167	28	28	10	13	10	0	0	4.92	1.44	88	52	4.8	2.8	1.7	19	45%	34%	21%	4/1/2013
C.J. Wilson	LAA	SP	167	28	28	12	15	8	0	0	4.08	1.34	142	68	7.6	3.6	2.1	15	48%	32%	20%	4/1/2013
Ervin Santana	KC	SP	166	28	28	11	14	9	0	0	4.41	1.37	119	56	6.5	3.0	2.1	18	41%	38%	21%	4/1/2013
Brandon Morrow	TOR	SP	166	28	28	12	15	8	0	0	3.99	1.30	157	62	8.5	3.3	2.6	18	39%	40%	21%	4/1/2013
Miguel Gonzalez	BAL	SP	165	24	24	10	14	9	0	0	4.54	1.37	127	60	6.9	3.3	2.1	24	38%	42%	20%	4/1/2013
Jason Hammel	BAL	SP	165	28	28	11	14	9	0	0	4.34	1.35	127	58	6.9	3.2	2.2	18	45%	34%	20%	4/1/2013
Scott Diamond	MIN	SP	165	26	26	10	14	9	0	0	4.49	1.39	96	48	5.2	2.6	2.0	15	51%	29%	21%	4/1/2013
Dan Haren	WAS	SP	165	28	28	12	16	7	0	0	3.47	1.15	134	31	7.3	1.7	4.4	17	43%	37%	21%	4/1/2013
James McDonald	PIT	SP	164	28	28	11	16	9	0	0	4.25	1.36	140	67	7.7	3.7	2.1	18	39%	40%	21%	4/1/2013
Lance Lynn	STL	SP	164	28	28	13	14	7	0	0	3.78	1.28	151	61	8.3	3.4	2.5	13	46%	33%	21%	4/1/2013
Ross Detwiler	WAS	SP	164	28	28	11	15	9	0	0	4.29	1.37	114	57	6.2	3.2	2.0	16	47%	33%	21%	4/1/2013
Bud Norris	HOU	SP	162	28	28	10	14	9	0	0	4.31	1.35	140	63	7.8	3.5	2.2	20	38%	42%	20%	4/1/2013
Gavin Floyd	CHA	SP	162	28	28	11	15	9	0	0	4.20	1.31	128	51	7.1	2.9	2.5	18	45%	35%	21%	4/1/2013
Vance Worley	MIN	SP	162	28	28	10	14	9	0	0	4.42	1.37	124	58	6.9	3.2	2.1	18	42%	37%	21%	4/1/2013
Matt Harvey	NYN	SP	161	28	28	11	15	8	0	0	3.90	1.32	161	71	9.0	4.0	2.3	16	43%	37%	21%	4/1/2013
Hisashi Iwakuma	SEA	SP	161	28	28	10	15	9	0	0	4.14	1.32	118	50	6.6	2.8	2.4	14	49%	31%	20%	4/1/2013
Marco Estrada	MIL	SP	161	28	28	12	16	7	0	0	3.66	1.21	148	48	8.3	2.7	3.1	20	37%	42%	21%	4/1/2013
Matt Moore	TB	SP	160	28	28	12	15	8	0	0	3.72	1.29	165	71	9.3	4.0	2.3	18	38%	41%	21%	4/1/2013
Edinson Volquez	SD	SP	160	28	28	11	15	9	0	0	4.11	1.38	148	80	8.3	4.5	1.8	11	50%	30%	20%	4/1/2013
Ubaldo Jimenez	CLE	SP	159	28	28	10	14	9	0	0	4.53	1.42	132	72	7.5	4.1	1.8	18	42%	37%	21%	4/1/2013
Tim Lincecum	SF	SP	158	28	28	12	15	7	0	0	3.82	1.29	150	63	8.6	3.6	2.4	12	47%	32%	21%	4/1/2013
Dillon Gee	NYN	SP	156	24	24	10	14	8	0	0	4.09	1.31	124	52	7.2	3.0	2.4	14	47%	32%	21%	4/1/2013
Felix Doubront	BOS	SP	156	28	28	12	14	8	0	0	4.02	1.34	146	67	8.4	3.9	2.2	14	44%	35%	21%	4/1/2013
A.J. Griffin	OAK	SP	153	28	28	11	15	8	0	0	4.08	1.28	111	43	6.5	2.5	2.6	17	40%	40%	20%	4/1/2013
Joe Saunders	SEA	SP	151	24	24	8	13	9	0	0	4.76	1.39	90	45	5.4	2.7	2.0	18	42%	38%	20%	4/1/2013
Phil Hughes	NYA	SP	149	25	25	10	14	8	0	0	4.09	1.28	120	43	7.3	2.6	2.8	22	34%	45%	21%	4/1/2013
Ivan Nova	NYA	SP	148	24	24	10	14	8	0	0	4.22	1.34	115	51	7.0	3.1	2.3	13	48%	32%	21%	4/1/2013
Jaime Garcia	STL	SP	147	24	24	11	12	6	0	0	3.67	1.26	116	42	7.1	2.6	2.8	10	52%	27%	21%	4/1/2013
Jose Quintana	CHA	SP	147	24	24	9	13	9	0	0	4.74	1.43	98	55	6.0	3.4	1.8	16	46%	33%	21%	4/1/2013
Travis Wood	CHN	SP	146	24	24	9	13	8	0	0	4.37	1.34	115	51	7.1	3.2	2.2	21	35%	44%	21%	4/1/2013
Mike Leake	CIN	SP	145	24	24	10	11	7	0	0	4.19	1.30	99	38	6.2	2.3	2.6	15	49%	30%	21%	4/1/2013
Alex Cobb	TB	SP	144	24	24	10	14	7	0	0	3.83	1.32	112	50	7.0	3.1	2.2	10	54%	26%	21%	4/1/2013
Blake Beavan	SEA	SP	142	24	24	8	14	9	0	0	4.88	1.36	70	32	4.4	2.1	2.2	21	39%	41%	20%	4/1/2013
Henderson Alvarez	MIA	SP	141	23	23	9	12	8	0	0	4.01	1.36	83	40	5.3	2.6	2.1	9	56%	24%	21%	4/1/2013
Jason Marquis	SD	SP	140	24	24	9	12	8	0	0	4.07	1.33	93	45	6.0	2.9	2.1	9	53%	27%	20%	4/1/2013
Barry Zito	SF	SP	140	24	24	9	12	8	0	0	4.72	1.44	90	56	5.8	3.6	1.6	17	40%	40%	21%	4/1/2013
Philip Humber	HOU	SP	140	24	24	9	13	8	0	0	4.52	1.35	99	45	6.4	2.9	2.2	17	41%	39%	20%	4/1/2013
Dan Straily	OAK	SP	140	24	24	10	12	7	0	0	4.10	1.33	120	53	7.7	3.4	2.3	17	36%	44%	20%	4/1/2013
Julio Teheran	ATL	SP	140	24	24	10	12	7	0	0	4.47	1.38	104	55	6.7	3.5	1.9	17	41%	39%	20%	4/1/2013
John Lackey	BOS	SP	140	24	24	10	12	7	0	0	4.42	1.38	92	47	5.9	3.0	2.0	16	42%	37%	21%	4/1/2013
Brett Myers	CLE	SP	140	24	24	9	12	8	0	0	4.64	1.38	88	43	5.7	2.8	2.0	16	45%	35%	21%	4/1/2013
Jhoulys Chacin	COL	SP	140	24	24	10	12	7	0	0	4.69	1.46	104	59	6.7	3.8	1.8	14	47%	31%	22%	4/1/2013
Jorge de la Rosa	COL	SP	140	24	24	10	12	7	0	0	4.48	1.39	111	53	7.2	3.4	2.1	16	45%	34%	22%	4/1/2013
Juan Nicasio	COL	SP	140	24	24	11	12	6	0	0	4.25	1.32	119	43	7.6	2.8	2.7	16	44%	35%	22%	4/1/2013
Wade LeBlanc	MIA	SP	140	24	24	9	12	8	0	0	4.39	1.35	99	45	6.4	2.9	2.2	17	37%	43%	21%	4/1/2013
Andy Pettitte	NYA	SP	140	24	24	10	13	7	0	0	3.86	1.27	116	42	7.5	2.7	2.8	14	46%	33%	21%	4/1/2013
Brett Anderson	OAK	SP	140	24	24	10	13	7	0	0	3.84	1.29	103	41	6.6	2.6	2.5	11	52%	28%	20%	4/1/2013
Kyle Kendrick	PHI	SP	140	24	24	9	12	8	0	0	4.54	1.36	92	43	5.9	2.7	2.2	16	44%	35%	21%	4/1/2013
Eric Stults	SD	SP	140	24	24	9	12	8	0	0	4.28	1.35	95	48	6.1	3.1	2.0	14	43%	37%	20%	4/1/2013
Wade Davis	KC	RP	140	24	24	9	12	8	0	0	4.45	1.41	104	57	6.7	3.6	1.8	17	38%	41%	21%	4/1/2013
Alexi Ogando	TEX	SP	140	24	24	10	13	7	0	0	3.99	1.29	118	47	7.6	3.0	2.5	17	39%	40%	21%	4/1/2013
Scott Feldman	CHN	SP	140	24	24	10	13	7	0	0	3.93	1.28	104	41	6.7	2.6	2.5	14	48%	32%	21%	4/1/2013
John Lannan	PHI	SP	140	24	24	9	12	8	0	0	4.67	1.46	79	53	5.0	3.4	1.5	12	52%	27%	21%	4/1/2013
Hyun-Jin Ryu	LAD	SP	140	24	24	10	14	7	0	0	3.69	1.25	134	51	8.6	3.3	2.6	12	45%	35%	20%	4/1/2013
Shelby Miller	STL	SP	140	24	24	11	13	6	0	0	3.90	1.32	130	60	8.4	3.8	2.2	12	44%	36%	21%	4/1/2013
Brandon Maurer	SEA	SP	140	24	24	8	12	9	0	0	4.68	1.44	106	61	6.8	3.9	1.7	16	42%	38%	20%	4/1/2013
Jeremy Hefner	NYN	SP	140	24	24	9	12	8	0	0	4.60	1.38	90	44	5.8	2.8	2.1	16	44%	36%	21%	4/1/2013
Kevin Slowey	MIA	SP	140	24	24	9	12	8	0	0	4.28	1.28	94	32	6.0	2.1	2.9	19	36%	44%	21%	4/1/2013
Patrick Corbin	ARI	SP	140	24	24	10	13	7	0	0	4.06	1.31	113	46	7.3	2.9	2.5	14	46%	33%	21%	4/1/2013
Mike Fiers	MIL	SP	139	24	24	10	13	7	0	0	4.03	1.28	125	47	8.1	3.0	2.7	17	39%	41%	21%	4/1/2013
Zach McAllister	CLE	SP	138	24	24	9	12	8	0	0	4.40	1.34	104	45	6.8	2.9	2.3	17	41%	39%	21%	4/1/2013
Rick Porcello	DET	SP	138	24	24	10	13	7	0	0	4.13	1.33	83	36	5.4	2.4	2.3	12	51%	28%	21%	4/1/2013
Tommy Hanson	LAA	SP	137	24	24	10	12	7	0	0	4.14	1.31	117	50	7.7	3.3	2.4	17	38%	42%	20%	4/1/2013
John Danks	CHA	SP	135	23	23	8	11	8	0	0	4.58	1.37	95	46	6.3	3.0	2.1	17	43%	37%	21%	4/1/2013
Matt Garza	CHN	SP	134	23	23	10	13	6	0	0	3.66	1.24	121	42	8.1	2.8	2.9	13	44%	36%	21%	4/1/2013
Francisco Liriano	PIT	SP	134	25	25	10	13	7	0	0	3.88	1.32	128	60	8.6	4.0	2.2	10	49%	31%	21%	4/1/2013
Chad Billingsley	LAD	SP	133	22	22	9	12	7	0	0	4.05	1.31	109	47	7.4	3.2	2.3	12	46%	34%	20%	4/1/2013
Shaun Marcum	NYN	SP	132	22	22	9	11	7	0	0	3.98	1.26	107	38	7.3	2.6	2.8	16	39%	41%	21%	4/1/2013
Liam Hendriks	MIN	SP	129	24	24	8	13	8	0	0	4.50	1.36	84	38	5.9	2.7	2.2	14	43%	36%	21%	4/1/2013
Nathan Eovaldi	MIA	SP	127	23	23	8	11	8	0	0	4.54	1.44	95	57	6.7	4.0	1.7	11	46%	34%	21%	4/1/2013
Erik Bedard	HOU	SP	127	24	24	9	11	8	0	0	4.32	1.35	108	50	7.6	3.5	2.2	14	42%	38%	20%	4/1/2013
Jeff Karstens	PIT	SP	117	20	20	8	9	6	0	0	4.18	1.27	77	27	5.9	2.0	2.9	13	43%	37%	21%	4/1/2013
Chris Tillman	BAL	SP	116	20	20	7	10	7	0	0	4.59	1.40	88	46	6.8	3.6	1.9	17	38%	42%	20%	4/1/2013
Colby Lewis	TEX	SP	103	16	16	8	8	4	0	0	3.90	1.23	84	26	7.3	2.3	3.2	15	35%	45%	21%	4/1/2013
Tyler Skaggs	ARI	SP	94	16	16	7	7	5	0	0	4.22	1.36	81	38	7.7	3.7	2.1	11	40%	39%	21%	4/1/2013
Martin Perez	TEX	SP	94	16	16	6	8	6	0	0	5.21	1.57	57	48	5.5	4.5	1.2	10	45%	34%	21%	4/1/2013
Mike Pelfrey	MIN	SP	94	16	16	6	8	6	0	0	4.87	1.43	54	31	5.2	3.0	1.7	10	44%	36%	21%	4/1/2013
Dylan Axelrod	CHA	SP	92	25	11	6	5	5	0	0	4.50	1.38	68	32	6.6	3.2	2.1	11	43%	37%	21%	4/1/2013
Cory Luebke	SD	SP	91	16	16	7	9	5	0	0	3.64	1.23	84	31	8.3	3.0	2.7	8	43%	37%	20%	4/1/2013
Chris Capuano	LAD	SP	86	24	9	7	5	3	0	0	3.64	1.22	72	24	7.5	2.5	3.0	10	41%	39%	20%	4/1/2013
David Phelps	NYA	SP	86	24	10	6	6	4	0	0	4.19	1.33	71	30	7.5	3.2	2.3	10	42%	38%	21%	4/1/2013
Luis Mendoza	KC	SP	85	24	8	5	4	5	0	0	4.48	1.45	51	32	5.4	3.3	1.6	8	49%	30%	21%	4/1/2013
J.A. Happ	TOR	SP	80	24	8	6	4	4	0	0	4.32	1.39	71	35	7.9	3.9	2.0	10	37%	42%	21%	4/1/2013
Luke Hochevar	KC	SP	79	24	8	6	4	4	0	0	3.99	1.31	60	24	6.8	2.8	2.5	7	45%	34%	21%	4/1/2013
Aaron Harang	LAD	SP	79	24	8	5	5	4	0	0	4.36	1.38	59	31	6.7	3.5	1.9	10	40%	40%	20%	4/1/2013
Tyler Cloyd	PHI	SP	79	24	8	5	4	4	0	0	4.29	1.30	56	21	6.4	2.4	2.7	11	40%	40%	21%	4/1/2013
Andrew Cashner	SD	SP	79	24	8	7	4	3	0	0	3.19	1.21	87	32	9.9	3.6	2.7	5	49%	31%	20%	4/1/2013
Jeff Niemann	TB	SP	79	24	8	6	4	4	0	0	3.85	1.28	61	24	6.9	2.7	2.6	8	44%	35%	21%	4/1/2013
Jacob Turner	MIA	SP	79	24	8	5	4	5	0	0	4.27	1.37	57	28	6.5	3.2	2.0	8	45%	35%	21%	4/1/2013
Chris Narveson	MIL	SP	79	24	8	6	4	4	0	0	4.27	1.35	61	28	6.9	3.2	2.2	10	42%	38%	21%	4/1/2013
Erasmo Ramirez	SEA	SP	79	24	8	5	4	4	0	0	4.14	1.30	57	22	6.4	2.5	2.6	9	42%	38%	20%	4/1/2013
Carlos Carrasco	CLE	SP	79	24	8	6	4	4	0	0	4.11	1.33	62	27	7.1	3.1	2.3	8	46%	33%	21%	4/1/2013
Brian Duensing	MIN	RP	79	24	8	5	4	4	0	0	4.31	1.35	53	24	6.0	2.7	2.2	8	46%	34%	21%	4/1/2013
Josh Collmenter	ARI	SP	79	24	8	6	4	3	0	0	3.99	1.28	62	22	7.0	2.5	2.8	11	37%	43%	21%	4/1/2013
Jair Jurrjens	BAL	SP	79	24	8	4	4	5	0	0	5.15	1.45	41	25	4.7	2.8	1.7	12	39%	41%	20%	4/1/2013
Zach Britton	BAL	SP	79	24	8	5	4	4	0	0	4.31	1.41	60	33	6.8	3.7	1.8	7	51%	29%	20%	4/1/2013
Corey Kluber	CLE	SP	79	24	8	5	4	4	0	0	4.32	1.38	65	32	7.5	3.7	2.0	8	44%	36%	21%	4/1/2013
Josh Outman	COL	SP	79	24	8	6	4	4	0	0	4.67	1.48	67	38	7.6	4.3	1.8	9	43%	35%	22%	4/1/2013
Drew Smyly	DET	SP	79	24	8	7	4	3	0	0	3.65	1.26	75	28	8.5	3.2	2.6	9	40%	39%	21%	4/1/2013
Garrett Richards	LAA	SP	79	24	8	6	4	4	0	0	4.53	1.43	56	34	6.4	3.9	1.6	8	45%	35%	20%	4/1/2013
Jerome Williams	LAA	SP	79	24	8	6	4	3	0	0	3.87	1.28	55	22	6.3	2.5	2.5	7	49%	31%	20%	4/1/2013
Wily Peralta	MIL	SP	79	24	8	5	4	4	0	0	4.33	1.44	70	40	8.0	4.6	1.7	7	48%	31%	21%	4/1/2013
Tyson Ross	SD	SP	79	24	8	6	4	4	0	0	4.00	1.38	62	34	7.0	3.9	1.8	5	51%	29%	20%	4/1/2013
Kyle McPherson	PIT	SP	79	24	8	6	4	3	0	0	3.72	1.24	64	22	7.3	2.5	3.0	8	44%	36%	21%	4/1/2013
Anthony Bass	SD	SP	79	24	8	6	4	4	0	0	3.74	1.29	65	28	7.3	3.2	2.3	6	47%	33%	20%	4/1/2013
Joe Kelly	STL	SP	79	24	8	6	4	4	0	0	4.30	1.41	57	32	6.4	3.7	1.8	6	50%	30%	21%	4/1/2013
Chris Archer	TB	SP	79	24	8	5	4	4	0	0	4.39	1.45	73	43	8.4	4.9	1.7	8	42%	37%	21%	4/1/2013
Carlos Villanueva	CHN	SP	79	24	8	6	4	4	0	0	3.80	1.28	71	28	8.0	3.2	2.5	9	40%	40%	21%	4/1/2013
Craig Stammen	WAS	RP	79	24	8	6	4	4	0	0	3.87	1.31	63	28	7.2	3.2	2.3	7	47%	32%	21%	4/1/2013
Zach Duke	WAS	RP	79	24	8	5	4	4	0	0	4.32	1.35	45	21	5.1	2.4	2.1	8	48%	32%	21%	4/1/2013
Brad Peacock	HOU	SP	79	24	8	5	4	5	0	0	4.46	1.41	67	36	7.6	4.0	1.9	10	40%	41%	20%	4/1/2013
Scott Kazmir	CLE	SP	79	24	8	4	4	5	0	0	5.04	1.52	54	37	6.1	4.3	1.4	11	39%	41%	21%	4/1/2013
Jon Garland	COL	SP	79	24	8	6	4	4	0	0	4.80	1.46	51	29	5.8	3.2	1.8	9	46%	33%	22%	4/1/2013
Roberto Hernandez	TB	RP	79	24	8	6	4	4	0	0	4.16	1.35	47	23	5.3	2.6	2.0	7	51%	29%	21%	4/1/2013
Jake Arrieta	BAL	SP	79	24	8	6	4	4	0	0	4.20	1.36	67	32	7.6	3.7	2.1	9	44%	36%	20%	4/1/2013
Jeff Francis	COL	SP	79	24	8	6	4	3	0	0	4.31	1.32	50	17	5.7	2.0	2.9	9	47%	31%	22%	4/1/2013
Hector Noesi	SEA	SP	78	24	8	5	4	5	0	0	4.53	1.39	55	29	6.4	3.3	1.9	10	39%	41%	20%	4/1/2013
Jordan Lyles	HOU	SP	78	24	8	5	4	4	0	0	4.26	1.33	54	23	6.2	2.6	2.4	9	46%	35%	20%	4/1/2013
Bruce Chen	KC	SP	78	24	8	6	5	4	0	0	4.15	1.32	55	23	6.3	2.6	2.4	10	34%	45%	21%	4/1/2013
Junichi Tazawa	BOS	RP	77	65	0	5	0	3	0	15	3.28	1.24	76	27	8.8	3.1	2.8	7	44%	34%	21%	4/1/2013
Drew Pomeranz	COL	SP	76	24	8	6	5	3	0	0	4.30	1.40	67	32	7.9	3.8	2.1	8	44%	35%	22%	4/1/2013
Jared Hughes	PIT	RP	74	65	0	5	0	3	0	13	3.56	1.33	55	25	6.7	3.1	2.2	5	53%	27%	21%	4/1/2013
Luis Ayala	BAL	RP	74	65	0	4	0	3	0	13	3.97	1.34	51	23	6.2	2.8	2.2	8	47%	33%	20%	4/1/2013
Robbie Ross	TEX	RP	73	65	0	5	0	3	0	14	3.50	1.31	57	25	7.1	3.0	2.3	6	52%	27%	21%	4/1/2013
Ted Lilly	LAD	SP	72	22	7	6	3	3	0	0	3.79	1.25	57	21	7.1	2.6	2.8	10	35%	45%	20%	4/1/2013
Anthony Swarzak	MIN	RP	72	22	7	4	3	5	0	0	4.77	1.42	45	24	5.6	3.1	1.8	9	41%	38%	21%	4/1/2013
Mark Rogers	MIL	SP	72	22	7	5	4	4	0	0	4.69	1.50	61	40	7.6	5.0	1.5	8	43%	36%	21%	4/1/2013
Kelvin Herrera	KC	RP	72	65	0	5	0	2	0	15	3.04	1.23	73	26	9.2	3.2	2.8	5	49%	30%	21%	4/1/2013
Mark Melancon	PIT	RP	71	65	0	5	0	3	10	14	3.26	1.27	64	25	8.1	3.2	2.5	5	52%	28%	21%	4/1/2013
Brandon Beachy	ATL	SP	71	12	12	6	6	3	0	0	3.67	1.23	70	25	8.8	3.1	2.8	8	39%	41%	20%	4/1/2013
Nate Jones	CHA	RP	71	65	0	4	0	3	0	14	3.89	1.37	67	32	8.5	4.1	2.1	7	45%	35%	21%	4/1/2013
Scott Baker	CHN	SP	71	12	12	5	6	3	0	0	3.75	1.21	61	19	7.7	2.4	3.2	9	39%	40%	21%	4/1/2013
Alex White	HOU	SP	71	12	12	4	7	4	0	0	4.85	1.47	47	30	5.9	3.8	1.6	7	47%	33%	20%	4/1/2013
Michael Pineda	NYA	SP	71	12	12	5	5	3	0	0	3.73	1.24	69	23	8.7	3.0	2.9	9	38%	42%	21%	4/1/2013
Kyle Drabek	TOR	SP	71	12	12	4	6	4	0	0	5.22	1.60	48	39	6.0	5.0	1.2	6	48%	31%	21%	4/1/2013
Franklin Morales	BOS	RP	70	22	7	5	4	3	0	0	3.98	1.37	67	33	8.6	4.2	2.1	8	37%	42%	21%	4/1/2013
Brayan Villarreal	DET	RP	70	65	0	4	0	3	0	15	3.52	1.31	74	32	9.5	4.1	2.3	8	38%	42%	21%	4/1/2013
Tom Wilhelmsen	SEA	RP	70	65	0	4	0	3	30	0	3.48	1.29	70	29	9.1	3.7	2.4	7	43%	37%	20%	4/1/2013
Steve Delabar	TOR	RP	70	65	0	4	0	3	0	15	3.69	1.35	79	36	10.1	4.6	2.2	7	41%	39%	21%	4/1/2013
Sean Doolittle	OAK	RP	69	65	0	5	0	2	0	17	2.73	1.15	84	26	10.9	3.4	3.2	7	38%	42%	20%	4/1/2013
Alex Burnett	MIN	RP	69	65	0	4	0	3	0	12	4.25	1.44	48	28	6.2	3.7	1.7	7	47%	33%	21%	4/1/2013
Alex Sanabia	MIA	SP	68	12	12	4	6	4	0	0	4.50	1.36	44	21	5.8	2.8	2.1	8	40%	40%	21%	4/1/2013
Jose Fernandez	MIA	SP	68	12	12	5	6	4	0	0	3.80	1.30	67	28	8.8	3.7	2.4	6	45%	35%	21%	4/1/2013
Aroldis Chapman	CIN	SP	68	65	0	5	0	2	30	0	2.35	1.11	104	33	13.8	4.3	3.2	5	44%	36%	21%	4/1/2013
Ronald Belisario	LAD	RP	68	65	0	4	0	2	0	15	3.22	1.30	65	28	8.5	3.7	2.3	4	56%	24%	20%	4/1/2013
Jerry Blevins	OAK	RP	67	65	0	4	0	3	0	14	3.82	1.34	58	27	7.8	3.7	2.1	7	39%	41%	20%	4/1/2013
Wilton Lopez	COL	RP	67	65	0	4	0	3	0	14	3.58	1.28	52	17	6.9	2.3	3.1	6	52%	27%	22%	4/1/2013
Ryan Cook	OAK	RP	67	65	0	4	0	3	0	15	3.42	1.29	68	29	9.1	3.8	2.4	6	43%	37%	20%	4/1/2013
Troy Patton	BAL	RP	66	65	0	4	0	3	0	14	3.70	1.29	52	21	7.1	2.9	2.5	7	44%	36%	20%	4/1/2013
Casey Janssen	TOR	RP	66	65	0	4	0	2	30	0	3.28	1.22	64	20	8.7	2.7	3.3	6	44%	35%	21%	4/1/2013
Octavio Dotel	DET	RP	66	65	0	4	0	2	0	15	3.31	1.22	65	22	8.9	3.0	3.0	8	36%	44%	21%	4/1/2013
Ryan Mattheus	WAS	RP	65	65	0	4	0	3	0	13	3.80	1.35	50	24	6.9	3.3	2.1	6	48%	32%	21%	4/1/2013
Glen Perkins	MIN	RP	65	65	0	4	0	2	20	0	3.09	1.19	66	20	9.1	2.8	3.2	6	44%	35%	21%	4/1/2013
Everett Teaford	KC	SP	65	32	0	4	0	3	0	1	3.90	1.36	49	23	6.7	3.1	2.1	7	43%	36%	21%	4/1/2013
Greg Holland	KC	RP	65	65	0	4	0	2	30	0	3.08	1.25	77	30	10.6	4.1	2.6	5	42%	37%	21%	4/1/2013
Jonathan Papelbon	PHI	RP	65	65	0	5	0	2	30	0	2.58	1.09	76	19	10.5	2.6	4.0	7	42%	38%	21%	4/1/2013
Kenley Jansen	LAD	RP	65	65	0	5	0	2	10	18	2.31	1.10	91	28	12.6	3.8	3.3	6	37%	43%	20%	4/1/2013
Cristhian Martinez	ATL	RP	65	32	0	4	0	3	0	2	3.45	1.23	52	18	7.2	2.5	2.9	6	47%	33%	20%	4/1/2013
Tommy Hunter	BAL	SP	65	32	0	4	0	3	0	1	3.78	1.25	44	13	6.1	1.8	3.5	8	43%	37%	20%	4/1/2013
Alfredo Aceves	BOS	RP	65	32	0	4	0	3	0	1	3.73	1.35	54	25	7.5	3.5	2.2	7	39%	40%	21%	4/1/2013
Hector Santiago	CHA	RP	65	32	0	4	0	3	0	2	3.84	1.37	67	32	9.3	4.4	2.1	7	40%	39%	21%	4/1/2013
Alfredo Simon	CIN	RP	65	32	0	4	0	3	0	2	3.48	1.27	56	22	7.8	3.0	2.6	7	48%	32%	21%	4/1/2013
Matt Belisle	COL	RP	65	65	0	4	0	3	0	14	3.70	1.29	52	17	7.2	2.4	3.0	6	49%	30%	22%	4/1/2013
John Ely	LAD	RP	65	32	0	4	0	2	0	2	3.14	1.19	60	19	8.3	2.6	3.2	6	45%	35%	20%	4/1/2013
Chris Leroux	PIT	RP	65	32	0	4	0	3	0	2	3.43	1.27	54	21	7.5	2.9	2.6	6	47%	33%	21%	4/1/2013
Chris Resop	OAK	RP	65	32	0	4	0	3	0	1	3.99	1.37	50	25	6.9	3.5	2.0	7	42%	38%	20%	4/1/2013
Michael Kirkman	TEX	RP	65	32	0	4	0	3	0	2	3.99	1.43	64	35	8.9	4.8	1.9	7	40%	40%	21%	4/1/2013
Tom Gorzelanny	MIL	RP	65	32	0	4	0	3	0	2	3.64	1.30	60	25	8.3	3.4	2.4	7	40%	39%	21%	4/1/2013
Matt Albers	CLE	RP	65	32	0	4	0	3	0	1	3.91	1.38	55	28	7.6	3.8	2.0	6	48%	31%	21%	4/1/2013
Adam Warren	NYA	SP	65	32	0	4	0	3	0	0	4.16	1.37	46	21	6.3	3.0	2.1	8	41%	38%	21%	4/1/2013
Brett Cecil	TOR	SP	65	32	0	4	0	3	0	1	3.63	1.26	55	18	7.6	2.5	3.0	8	40%	40%	21%	4/1/2013
Edgar Gonzalez	HOU	SP	65	32	0	4	0	3	0	0	4.00	1.30	45	17	6.3	2.4	2.7	8	43%	37%	20%	4/1/2013
Jeanmar Gomez	PIT	SP	65	32	0	4	0	3	0	0	3.49	1.28	47	18	6.5	2.5	2.7	5	50%	30%	21%	4/1/2013
Derek Lowe	TEX	RP	65	32	0	4	0	3	0	0	3.80	1.36	38	18	5.3	2.5	2.1	5	55%	25%	21%	4/1/2013
Grant Balfour	OAK	RP	64	65	0	4	0	3	20	0	3.46	1.29	61	25	8.5	3.5	2.4	7	38%	42%	20%	4/1/2013
Brad Brach	SD	RP	64	65	0	4	0	2	0	15	3.19	1.24	65	25	9.2	3.5	2.6	6	40%	40%	20%	4/1/2013
Craig Kimbrel	ATL	RP	64	65	0	5	0	1	30	0	1.84	0.99	102	26	14.4	3.6	4.0	4	44%	35%	20%	4/1/2013
Ernesto Frieri	LAA	RP	64	65	0	4	0	2	10	16	3.06	1.24	78	30	10.9	4.3	2.6	9	30%	50%	20%	4/1/2013
George Kontos	SF	RP	64	65	0	4	0	3	0	14	3.47	1.28	55	22	7.8	3.2	2.5	6	45%	34%	21%	4/1/2013
Fernando Rodney	TB	RP	63	65	0	4	0	2	30	0	3.20	1.26	63	25	9.0	3.6	2.5	4	51%	29%	21%	4/1/2013
Tyler Clippard	WAS	RP	63	65	0	4	0	2	0	16	3.01	1.20	70	24	9.9	3.4	2.9	8	30%	50%	21%	4/1/2013
Huston Street	SD	RP	63	65	0	4	0	2	30	0	2.91	1.15	65	19	9.2	2.7	3.4	6	41%	40%	20%	4/1/2013
Rafael Soriano	WAS	RP	63	65	0	4	0	2	30	0	3.15	1.22	62	22	8.9	3.1	2.9	6	40%	39%	21%	4/1/2013
Brandon League	LAD	RP	63	65	0	4	0	2	20	0	3.33	1.30	54	24	7.8	3.4	2.3	4	55%	25%	20%	4/1/2013
Joaquin Benoit	DET	RP	63	65	0	4	0	2	10	16	3.11	1.18	66	21	9.4	3.0	3.2	7	38%	42%	21%	4/1/2013
Joe Nathan	TEX	RP	63	65	0	4	0	2	30	0	2.98	1.17	66	19	9.5	2.8	3.4	6	42%	38%	21%	4/1/2013
Darren ODay	BAL	RP	63	65	0	4	0	2	0	15	3.43	1.22	57	18	8.2	2.6	3.1	8	38%	42%	20%	4/1/2013
Jared Burton	MIN	RP	63	65	0	4	0	3	10	14	3.61	1.30	56	23	7.9	3.3	2.4	6	44%	36%	21%	4/1/2013
Shawn Camp	CHN	RP	63	65	0	4	0	3	0	13	3.84	1.34	42	20	6.0	2.8	2.1	6	49%	30%	21%	4/1/2013
Tim Collins	KC	RP	62	65	0	4	0	2	0	16	3.41	1.32	72	32	10.5	4.7	2.2	6	40%	39%	21%	4/1/2013
Jim Johnson	BAL	RP	62	65	0	4	0	2	30	0	3.54	1.31	45	19	6.6	2.7	2.4	5	54%	26%	20%	4/1/2013
Josh Lindblom	TEX	RP	62	65	0	4	0	3	0	14	3.90	1.37	54	27	7.9	3.9	2.0	8	35%	44%	21%	4/1/2013
Jeff Locke	PIT	SP	62	11	11	4	6	3	0	0	4.11	1.34	50	23	7.3	3.4	2.1	6	44%	35%	21%	4/1/2013
Rafael Betancourt	COL	RP	62	65	0	4	0	2	30	0	3.37	1.19	61	16	8.8	2.3	3.9	8	35%	43%	22%	4/1/2013
Mariano Rivera	NYA	RP	62	65	0	4	0	2	30	0	3.15	1.18	57	16	8.3	2.4	3.5	6	45%	35%	21%	4/1/2013
Kyuji Fujikawa	CHN	RP	62	65	0	4	0	2	10	15	2.96	1.20	70	24	10.2	3.5	2.9	6	45%	35%	21%	4/1/2013
Brandon Kintzler	MIL	RP	62	65	0	4	0	3	0	14	3.80	1.35	51	24	7.4	3.5	2.1	6	49%	31%	21%	4/1/2013
Al Alburquerque	DET	RP	62	65	0	4	0	2	10	16	3.15	1.27	73	30	10.6	4.4	2.4	5	46%	33%	21%	4/1/2013
Sergio Santos	TOR	RP	62	65	0	4	0	2	10	16	3.36	1.28	70	28	10.2	4.0	2.5	6	43%	37%	21%	4/1/2013
J.J. Putz	ARI	RP	62	65	0	4	0	2	30	0	2.98	1.17	65	18	9.4	2.7	3.5	6	44%	35%	21%	4/1/2013
David Hernandez	ARI	RP	61	65	0	4	0	2	0	17	2.85	1.19	73	24	10.7	3.5	3.0	7	35%	44%	21%	4/1/2013
Pedro Strop	BAL	RP	61	65	0	4	0	3	0	14	3.74	1.39	59	31	8.7	4.6	1.9	5	52%	28%	20%	4/1/2013
Jeremy Affeldt	SF	RP	61	65	0	4	0	2	0	14	3.34	1.32	53	24	7.8	3.6	2.2	4	54%	25%	21%	4/1/2013
Jesse Crain	CHA	RP	61	65	0	4	0	2	0	15	3.47	1.30	65	27	9.6	4.0	2.4	7	37%	42%	21%	4/1/2013
Joel Hanrahan	BOS	RP	61	65	0	4	0	2	30	0	3.50	1.31	63	27	9.3	4.0	2.3	6	41%	38%	21%	4/1/2013
Adam Ottavino	COL	RP	60	41	0	3	0	3	0	4	3.87	1.38	55	25	8.2	3.8	2.2	5	47%	31%	22%	4/1/2013
Jose Veras	HOU	RP	60	65	0	3	0	3	20	0	3.88	1.38	59	29	8.9	4.4	2.0	7	40%	40%	20%	4/1/2013
Joe Smith	CLE	RP	60	65	0	3	0	3	0	13	3.87	1.39	47	24	7.0	3.6	1.9	5	52%	28%	21%	4/1/2013
Edward Mujica	STL	RP	60	65	0	4	0	2	0	14	3.41	1.23	47	15	7.1	2.3	3.1	5	46%	34%	21%	4/1/2013
Steve Cishek	MIA	RP	60	65	0	4	0	2	20	0	3.47	1.32	57	26	8.6	3.9	2.2	5	49%	31%	21%	4/1/2013
David Robertson	NYA	RP	60	65	0	4	0	2	0	17	2.98	1.21	70	24	10.6	3.6	2.9	5	44%	36%	21%	4/1/2013
Luke Gregerson	SD	RP	60	65	0	4	0	2	10	15	3.18	1.23	53	20	8.0	3.0	2.7	5	48%	33%	20%	4/1/2013
Ryan Webb	MIA	RP	60	65	0	4	0	2	0	13	3.44	1.34	47	22	7.0	3.3	2.1	4	54%	25%	21%	4/1/2013
Bryan Shaw	CLE	RP	60	65	0	3	0	3	0	13	4.07	1.42	45	25	6.7	3.7	1.8	5	50%	30%	21%	4/1/2013
Bobby Parnell	NYN	RP	60	65	0	4	0	2	20	0	3.18	1.26	58	22	8.6	3.3	2.6	4	53%	27%	21%	4/1/2013
John Axford	MIL	RP	60	65	0	4	0	2	30	0	3.13	1.24	70	27	10.5	4.0	2.6	5	47%	33%	21%	4/1/2013
Vinnie Pestano	CLE	RP	59	59	0	4	0	2	2	13	3.21	1.24	63	23	9.5	3.4	2.8	7	40%	40%	21%	4/1/2013
Jason Grilli	PIT	RP	59	65	0	4	0	2	20	0	2.75	1.17	70	23	10.6	3.5	3.0	5	40%	39%	21%	4/1/2013
Darren Oliver	TOR	RP	59	65	0	4	0	2	0	15	3.30	1.24	55	18	8.4	2.8	3.1	6	44%	35%	21%	4/1/2013
Carlos Marmol	CHN	RP	59	65	0	4	0	2	20	0	3.55	1.37	71	35	10.9	5.4	2.0	6	40%	39%	21%	4/1/2013
Kevin Jepsen	LAA	RP	58	65	0	4	0	2	0	15	3.46	1.29	56	24	8.6	3.7	2.3	6	44%	36%	20%	4/1/2013
Jason Motte	STL	RP	58	54	0	4	0	2	25	0	2.82	1.14	64	19	10.0	2.9	3.5	5	42%	38%	21%	4/1/2013
James Russell	CHN	RP	58	65	0	3	0	2	0	14	3.79	1.30	46	19	7.1	3.0	2.4	8	38%	42%	21%	4/1/2013
Rex Brothers	COL	RP	58	65	0	4	0	2	0	16	3.45	1.33	71	31	11.0	4.7	2.3	5	46%	33%	22%	4/1/2013
Fernando Salas	STL	RP	58	65	0	4	0	2	0	15	3.43	1.28	55	22	8.6	3.4	2.5	6	38%	41%	21%	4/1/2013
Dale Thayer	SD	RP	58	65	0	4	0	2	0	14	3.44	1.25	49	18	7.6	2.8	2.7	5	44%	36%	20%	4/1/2013
Eric OFlaherty	ATL	RP	58	65	0	4	0	2	0	14	3.21	1.29	51	22	7.9	3.4	2.4	4	55%	25%	20%	4/1/2013
Craig Breslow	BOS	RP	58	58	0	3	0	2	0	10	3.72	1.33	51	22	7.9	3.5	2.3	6	38%	41%	21%	4/1/2013
Addison Reed	CHA	RP	57	65	0	4	0	2	30	0	3.46	1.25	59	21	9.3	3.3	2.8	7	38%	42%	21%	4/1/2013
Aaron Crow	KC	RP	57	65	0	4	0	2	0	15	3.41	1.30	55	24	8.7	3.7	2.3	4	48%	31%	21%	4/1/2013
Matt Thornton	CHA	RP	57	65	0	4	0	2	0	15	3.38	1.26	54	21	8.5	3.2	2.6	5	48%	31%	21%	4/1/2013
Josh Roenicke	MIN	RP	57	41	0	3	0	3	0	2	4.52	1.50	39	27	6.2	4.3	1.5	6	46%	34%	21%	4/1/2013
Matt Guerrier	LAD	RP	57	65	0	3	0	3	0	13	3.90	1.36	44	22	7.0	3.5	2.0	6	42%	37%	20%	4/1/2013
Tony Sipp	ARI	RP	57	65	0	3	0	2	0	14	3.70	1.35	55	25	8.6	4.0	2.2	7	36%	43%	21%	4/1/2013
Joel Peralta	TB	RP	56	65	0	4	0	2	0	16	3.22	1.19	57	17	9.2	2.8	3.3	8	31%	48%	21%	4/1/2013
Carter Capps	SEA	RP	56	41	0	4	0	2	0	5	2.98	1.21	70	25	11.2	4.0	2.8	5	43%	37%	20%	4/1/2013
Heath Bell	ARI	RP	56	65	0	3	0	2	0	14	3.84	1.37	48	24	7.8	3.8	2.1	6	45%	34%	21%	4/1/2013
Santiago Casilla	SF	RP	56	65	0	3	0	2	0	14	3.56	1.33	50	23	8.0	3.6	2.2	4	49%	30%	21%	4/1/2013
Jason Frasor	TEX	RP	56	65	0	3	0	2	0	15	3.72	1.33	53	24	8.6	3.9	2.2	6	41%	38%	21%	4/1/2013
Chris Perez	CLE	RP	56	59	0	3	0	2	28	0	3.68	1.32	53	22	8.5	3.5	2.4	7	37%	42%	21%	4/1/2013
Daniel Hudson	ARI	SP	55	10	10	4	6	3	0	0	4.01	1.27	44	16	7.2	2.6	2.8	7	41%	39%	21%	4/1/2013
Jim Henderson	MIL	RP	54	65	0	3	0	2	0	15	3.67	1.36	58	28	9.6	4.6	2.1	5	44%	35%	21%	4/1/2013
Sean Marshall	CIN	RP	54	65	0	4	0	2	0	16	2.83	1.17	56	17	9.4	2.8	3.3	4	52%	27%	21%	4/1/2013
Phil Coke	DET	RP	53	65	0	3	0	2	10	14	3.74	1.31	44	19	7.5	3.2	2.4	6	43%	36%	21%	4/1/2013
Drew Storen	WAS	RP	53	65	0	4	0	2	0	15	3.13	1.22	52	18	8.9	3.1	2.8	5	46%	34%	21%	4/1/2013
Jose Valverde	FA	RP	53	54	0	3	0	2	8	9	3.75	1.36	48	23	8.1	4.0	2.0	5	43%	37%	21%	4/1/2013
Sean Burnett	LAA	RP	52	65	0	3	0	2	0	14	3.62	1.31	42	18	7.2	3.2	2.3	5	49%	31%	20%	4/1/2013
Antonio Bastardo	PHI	RP	52	65	0	4	0	2	0	17	2.88	1.20	65	23	11.3	3.9	2.9	6	34%	46%	21%	4/1/2013
Sergio Romo	SF	RP	52	65	0	4	0	2	30	0	2.74	1.10	55	13	9.4	2.3	4.1	5	42%	37%	21%	4/1/2013
Jake McGee	TB	RP	52	65	0	4	0	2	0	17	2.76	1.14	62	19	10.7	3.2	3.3	5	41%	39%	21%	4/1/2013
Andrew Bailey	BOS	RP	51	65	0	3	0	2	10	14	3.50	1.30	48	20	8.4	3.4	2.5	6	38%	41%	21%	4/1/2013
Ryan Madson	LAA	RP	51	54	0	3	0	2	17	9	3.31	1.24	48	18	8.5	3.2	2.7	5	43%	37%	20%	4/1/2013
Scott Downs	LAA	RP	51	65	0	3	0	2	0	13	3.69	1.35	37	18	6.5	3.2	2.0	4	53%	27%	20%	4/1/2013
Jonny Venters	ATL	RP	51	58	0	3	0	2	0	12	2.93	1.27	55	23	9.7	4.1	2.4	2	59%	21%	20%	4/1/2013
Cole DeVries	MIN	SP	51	9	9	3	6	3	0	0	4.80	1.38	32	15	5.6	2.7	2.1	7	36%	44%	21%	4/1/2013
Jon Rauch	MIA	RP	51	65	0	3	0	2	0	14	3.64	1.29	39	15	6.9	2.7	2.6	6	39%	41%	21%	4/1/2013
Mitchell Boggs	STL	RP	51	54	0	3	0	2	3	9	3.34	1.29	44	18	7.8	3.2	2.4	4	50%	30%	21%	4/1/2013
Tony Watson	PIT	RP	51	65	0	3	0	2	0	15	3.36	1.28	50	21	8.9	3.7	2.4	5	40%	39%	21%	4/1/2013
Michael Bowden	CHN	RP	50	41	0	3	0	2	0	4	3.85	1.38	44	22	7.9	4.0	2.0	6	39%	40%	21%	4/1/2013
Andrew Miller	BOS	RP	49	65	0	3	0	2	0	14	3.87	1.43	50	28	9.3	5.1	1.8	4	43%	35%	21%	4/1/2013
Sam LeCure	CIN	RP	48	41	0	3	0	2	0	4	3.41	1.25	45	16	8.4	3.1	2.8	5	45%	34%	21%	4/1/2013
Mike Dunn	MIA	RP	48	65	0	3	0	2	0	15	3.59	1.36	51	25	9.5	4.7	2.0	5	39%	40%	21%	4/1/2013
Frank Francisco	NYN	RP	48	54	0	3	0	2	8	10	3.43	1.28	48	19	8.9	3.6	2.5	5	42%	38%	21%	4/1/2013
Evan Scribner	OAK	RP	47	41	0	3	0	2	0	3	3.84	1.34	38	17	7.3	3.3	2.2	5	41%	39%	20%	4/1/2013
Trevor Rosenthal	STL	RP	47	41	0	3	0	2	0	4	3.19	1.26	48	19	9.2	3.7	2.5	4	46%	34%	21%	4/1/2013
Esmil Rogers	TOR	RP	47	41	0	3	0	2	0	4	3.57	1.30	44	17	8.4	3.3	2.5	5	45%	35%	21%	4/1/2013
Luis Avilan	ATL	RP	47	41	0	3	0	2	0	4	3.62	1.34	42	20	8.1	3.9	2.1	4	46%	34%	20%	4/1/2013
Jose Mijares	SF	RP	47	65	0	3	0	2	0	14	3.57	1.33	43	20	8.3	3.7	2.2	5	39%	41%	21%	4/1/2013
Tyler Thornburg	MIL	SP	47	8	8	3	4	3	0	0	4.35	1.40	41	21	7.9	4.1	1.9	5	44%	36%	21%	4/1/2013
Jenrry Mejia	NYN	SP	47	8	8	3	5	3	0	0	4.64	1.47	32	21	6.1	3.9	1.5	4	51%	29%	21%	4/1/2013
Rudy Owens	HOU	SP	47	8	8	3	4	3	0	0	4.85	1.40	27	15	5.2	2.8	1.9	6	42%	38%	20%	4/1/2013
Freddy Garcia	BAL	SP	47	8	8	3	4	3	0	0	4.58	1.37	32	15	6.0	2.9	2.1	6	41%	39%	20%	4/1/2013
Trevor Bauer	CLE	SP	47	8	8	3	4	3	0	0	4.31	1.41	47	25	9.0	4.7	1.9	5	43%	37%	21%	4/1/2013
Brad Bergesen	FA	RP	47	8	8	3	4	3	0	0	4.72	1.42	28	16	5.3	3.0	1.7	5	46%	33%	21%	4/1/2013
Dylan Bundy	BAL	SP	47	8	8	3	4	3	0	0	4.44	1.38	40	20	7.6	3.8	2.0	6	41%	39%	20%	4/1/2013
Steve Johnson	BAL	SP	47	8	8	3	4	3	0	0	4.94	1.48	37	23	7.1	4.4	1.6	7	36%	44%	20%	4/1/2013
Rubby de la Rosa	BOS	RP	47	8	8	3	4	2	0	0	4.39	1.42	41	22	7.8	4.3	1.8	5	43%	36%	21%	4/1/2013
Charles Leesman	CHA	RP	47	8	8	2	4	3	0	0	5.58	1.62	28	25	5.4	4.8	1.1	6	42%	38%	21%	4/1/2013
Nestor Molina	CHA	SP	47	8	8	3	3	3	0	0	4.75	1.38	29	14	5.6	2.7	2.1	6	42%	38%	21%	4/1/2013
Simon Castro	CHA	SP	47	8	8	3	4	3	0	0	4.91	1.43	30	17	5.7	3.2	1.8	6	42%	38%	21%	4/1/2013
Brooks Raley	CHN	SP	47	8	8	3	4	3	0	0	4.81	1.45	30	19	5.7	3.6	1.6	6	43%	37%	21%	4/1/2013
Chris Rusin	CHN	SP	47	8	8	3	4	3	0	0	4.66	1.42	29	17	5.6	3.3	1.7	5	46%	34%	21%	4/1/2013
Jason Berken	CHN	SP	47	8	8	3	4	3	0	0	4.61	1.41	30	17	5.8	3.3	1.8	5	46%	34%	21%	4/1/2013
Todd Redmond	CIN	SP	47	8	8	3	4	2	0	0	4.31	1.33	36	16	6.8	3.0	2.3	6	44%	36%	21%	4/1/2013
Rob Scahill	COL	RP	47	8	8	3	4	3	0	0	4.98	1.52	35	23	6.8	4.4	1.5	5	45%	34%	22%	4/1/2013
Tyler Chatwood	COL	SP	47	8	8	3	4	3	0	0	5.12	1.58	31	23	5.9	4.5	1.3	4	51%	28%	22%	4/1/2013
Casey Crosby	DET	SP	47	8	8	3	4	3	0	0	5.17	1.59	34	28	6.5	5.3	1.2	5	44%	35%	21%	4/1/2013
Jake Odorizzi	TB	SP	47	8	8	3	4	3	0	0	4.53	1.40	36	19	6.8	3.7	1.9	6	40%	39%	21%	4/1/2013
Vin Mazzaro	PIT	SP	47	8	8	3	4	3	0	0	4.55	1.44	33	20	6.2	3.8	1.6	4	47%	33%	21%	4/1/2013
Barry Enright	LAA	RP	47	8	8	3	4	3	0	0	5.20	1.51	26	19	5.0	3.7	1.4	7	35%	45%	20%	4/1/2013
Stephen Fife	LAD	SP	47	8	8	3	4	3	0	0	4.84	1.46	30	20	5.8	3.8	1.5	5	44%	36%	20%	4/1/2013
Brad Hand	MIA	SP	47	8	8	3	4	3	0	0	4.98	1.56	37	27	7.1	5.2	1.4	6	37%	43%	21%	4/1/2013
Carl Pavano	FA	SP	47	8	8	3	4	3	0	0	4.18	1.29	26	9	5.0	1.7	3.0	4	50%	30%	21%	4/1/2013
Chris Young	FA	SP	47	8	8	3	4	3	0	0	4.76	1.38	33	16	6.3	3.1	2.0	8	28%	52%	21%	4/1/2013
Collin McHugh	NYN	SP	47	8	8	3	4	3	0	0	4.32	1.37	37	18	7.1	3.5	2.0	5	42%	37%	21%	4/1/2013
Thad Weber	SD	RP	47	8	8	3	4	3	0	0	4.16	1.33	31	15	5.8	2.8	2.1	4	49%	32%	20%	4/1/2013
Danny Hultzen	SEA	SP	47	8	8	3	4	3	0	0	4.78	1.53	46	30	8.7	5.8	1.5	5	42%	38%	20%	4/1/2013
Yusmeiro Petit	SF	SP	47	8	8	3	4	2	0	0	4.12	1.30	34	14	6.4	2.6	2.5	5	44%	35%	21%	4/1/2013
Justin Grimm	TEX	SP	47	8	8	3	4	3	0	0	4.70	1.41	31	17	5.9	3.3	1.8	6	43%	36%	21%	4/1/2013
Chad Jenkins	TOR	RP	47	8	8	3	4	3	0	0	5.28	1.50	23	16	4.4	3.1	1.4	6	43%	36%	21%	4/1/2013
Zack Wheeler	NYN	SP	47	8	8	3	4	3	0	0	4.38	1.43	44	25	8.4	4.7	1.8	4	45%	35%	21%	4/1/2013
Gerrit Cole	PIT	SP	47	8	8	3	4	2	0	0	3.95	1.33	44	20	8.4	3.9	2.2	4	45%	35%	21%	4/1/2013
Kyle Gibson	MIN	SP	47	8	8	3	4	3	0	0	4.30	1.34	37	17	7.2	3.2	2.3	5	42%	38%	21%	4/1/2013
Robert Erlin	SD	SP	47	8	8	4	5	2	0	0	3.37	1.17	45	14	8.7	2.7	3.3	4	45%	35%	20%	4/1/2013
Sonny Gray	OAK	SP	47	8	8	3	4	3	0	0	4.98	1.50	30	21	5.7	4.1	1.4	5	42%	38%	20%	4/1/2013
Daisuke Matsuzaka	CLE	SP	47	8	8	3	4	3	0	0	4.76	1.44	35	20	6.8	3.7	1.8	6	36%	43%	21%	4/1/2013
Tony Cingrani	CIN	RP	47	8	8	4	4	2	0	0	3.91	1.31	48	20	9.1	3.9	2.3	5	45%	34%	21%	4/1/2013
Nicholas Tepesch	TEX	SP	47	8	8	3	4	3	0	0	4.87	1.45	29	18	5.6	3.4	1.6	6	42%	38%	21%	4/1/2013
Neil Ramirez	TEX	RP	47	8	8	3	4	3	0	0	4.75	1.46	35	22	6.8	4.2	1.6	6	42%	38%	21%	4/1/2013
Jonathan Sanchez	PIT	SP	46	11	11	4	4	3	0	0	4.54	1.48	38	25	7.5	4.9	1.5	5	41%	38%	21%	4/1/2013
Brad Boxberger	SD	RP	46	41	0	3	0	2	0	5	3.23	1.29	53	23	10.4	4.5	2.3	4	43%	38%	20%	4/1/2013
Ricky Romero	TOR	SP	46	8	8	3	4	3	0	0	4.66	1.48	34	21	6.7	4.1	1.6	4	51%	28%	21%	4/1/2013
Xavier Cedeno	HOU	RP	46	65	0	3	0	2	0	14	3.82	1.35	40	19	7.8	3.6	2.1	5	43%	37%	20%	4/1/2013
Darin Downs	DET	RP	45	41	0	3	0	2	0	4	3.86	1.33	37	17	7.4	3.3	2.2	5	43%	37%	21%	4/1/2013
Boone Logan	NYA	RP	45	65	0	3	0	2	0	16	3.44	1.28	49	19	9.7	3.9	2.5	5	41%	38%	21%	4/1/2013
Mark Lowe	LAA	RP	44	41	0	3	0	2	0	4	3.69	1.32	39	18	8.0	3.6	2.2	5	41%	39%	20%	4/1/2013
Wesley Wright	HOU	RP	44	65	0	3	0	2	0	14	3.86	1.35	37	17	7.6	3.6	2.1	4	47%	34%	20%	4/1/2013
J.J. Hoover	CIN	RP	44	41	0	3	0	2	0	5	3.27	1.26	47	18	9.7	3.6	2.7	5	38%	42%	21%	4/1/2013
Cody Allen	CLE	RP	44	41	0	3	0	2	0	0	3.55	1.31	45	19	9.1	3.9	2.3	4	41%	38%	21%	4/1/2013
Randall Delgado	ARI	SP	43	8	8	3	3	2	0	0	4.40	1.42	35	20	7.4	4.1	1.8	4	47%	32%	21%	4/1/2013
Dallas Keuchel	HOU	SP	43	8	8	3	4	3	0	0	5.16	1.48	20	15	4.2	3.1	1.4	5	46%	34%	20%	4/1/2013
Hector Ambriz	HOU	RP	43	41	0	2	0	2	0	3	4.24	1.43	35	20	7.3	4.2	1.8	5	42%	38%	20%	4/1/2013
Rhiner Cruz	HOU	RP	43	41	0	2	0	2	0	0	4.64	1.53	36	25	7.6	5.2	1.5	5	40%	40%	20%	4/1/2013
Marc Rzepczynski	STL	RP	43	65	0	3	0	2	0	14	3.42	1.32	38	17	7.9	3.6	2.2	2	54%	25%	21%	4/1/2013
Samuel Deduno	MIN	SP	43	8	8	3	3	3	0	0	4.82	1.56	32	25	6.8	5.2	1.3	3	52%	28%	21%	4/1/2013
Christian Friedrich	COL	SP	43	8	8	3	4	2	0	0	4.58	1.40	34	16	7.1	3.3	2.2	5	43%	35%	22%	4/1/2013
Matt Lindstrom	CHA	RP	41	41	0	2	0	2	0	0	3.87	1.33	33	15	7.3	3.2	2.3	5	46%	34%	21%	4/1/2013
Joakim Soria	TEX	RP	41	44	0	3	0	2	0	5	3.50	1.27	36	14	8.0	3.0	2.6	5	42%	37%	21%	4/1/2013
Jamey Wright	TB	RP	41	41	0	2	0	2	0	0	3.79	1.41	29	17	6.3	3.7	1.7	3	55%	24%	21%	4/1/2013
Edgmer Escalona	COL	RP	41	41	0	2	0	2	0	4	4.12	1.40	36	17	7.9	3.8	2.1	5	38%	40%	22%	4/1/2013
Brian Matusz	BAL	SP	41	41	0	2	0	2	0	4	3.77	1.29	35	14	7.7	3.0	2.6	5	38%	42%	20%	4/1/2013
Daniel Bard	BOS	SP	41	41	0	2	0	2	0	3	4.10	1.47	35	22	7.7	4.7	1.6	4	45%	34%	21%	4/1/2013
Duane Below	DET	RP	41	41	0	2	0	2	0	3	4.13	1.37	27	14	6.0	3.0	2.0	5	43%	37%	21%	4/1/2013
Javy Guerra	LAD	RP	41	41	0	2	0	2	0	4	3.91	1.39	36	19	7.9	4.2	1.9	4	46%	34%	20%	4/1/2013
Tyler Robertson	MIN	RP	41	65	0	2	0	2	0	13	4.15	1.42	33	18	7.3	4.0	1.8	4	45%	35%	21%	4/1/2013
Raul Valdes	PHI	RP	41	41	0	3	0	2	0	5	3.20	1.18	40	11	8.7	2.5	3.6	5	37%	43%	21%	4/1/2013
Cesar Ramos	TB	RP	41	41	0	2	0	2	0	3	3.87	1.36	33	16	7.1	3.6	2.0	4	46%	34%	21%	4/1/2013
Aaron Laffey	FA	SP	41	41	0	2	0	2	0	3	3.99	1.39	27	14	5.8	3.1	1.9	4	50%	30%	21%	4/1/2013
Brad Lincoln	TOR	RP	41	41	0	3	0	2	0	4	3.41	1.22	37	11	8.0	2.3	3.5	5	41%	38%	21%	4/1/2013
Dayan Viciedo	MIN	RP	41	41	0	2	0	2	0	0	3.96	1.34	34	15	7.5	3.2	2.3	5	36%	44%	21%	4/1/2013
Hisanori Takahashi	FA	RP	40	41	0	3	0	2	0	4	3.40	1.25	37	14	8.3	3.1	2.7	4	41%	39%	21%	4/1/2013
Michael Schwimer	PHI	RP	39	41	0	2	0	2	0	4	3.72	1.31	38	16	8.7	3.6	2.4	5	38%	41%	21%	4/1/2013
Koji Uehara	BOS	RP	39	41	0	3	0	1	0	5	2.72	1.09	41	9	9.5	2.1	4.6	5	33%	45%	21%	4/1/2013
David Carpenter	BOS	RP	39	41	0	2	0	2	0	4	3.94	1.38	33	17	7.7	3.8	2.0	4	40%	39%	21%	4/1/2013
Jeremy Horst	PHI	RP	39	41	0	2	0	2	0	4	3.78	1.34	35	16	8.0	3.7	2.2	4	43%	36%	21%	4/1/2013
Matt Capps	FA	RP	39	41	0	2	0	2	0	3	3.64	1.28	30	11	6.8	2.6	2.7	4	45%	35%	21%	4/1/2013
Jonathan Broxton	CIN	RP	39	41	0	2	0	2	0	4	3.42	1.29	37	15	8.5	3.4	2.5	3	50%	30%	21%	4/1/2013
Nick Vincent	SD	RP	39	41	0	3	0	1	0	4	3.28	1.25	37	14	8.4	3.3	2.5	3	43%	37%	20%	4/1/2013
Charlie Furbush	SEA	RP	39	41	0	3	0	1	0	5	3.26	1.22	40	13	9.2	3.1	3.0	4	42%	38%	20%	4/1/2013
Bruce Rondon	DET	RP	38	41	0	2	0	2	0	0	3.72	1.40	44	23	10.5	5.4	1.9	3	42%	38%	21%	4/1/2013
Chris Hatcher	MIA	RP	38	41	0	2	0	2	0	4	3.76	1.36	34	16	8.0	3.9	2.1	3	44%	36%	21%	4/1/2013
Josh Stinson	OAK	RP	38	41	0	2	0	2	0	2	4.78	1.53	22	18	5.3	4.1	1.3	4	42%	38%	20%	4/1/2013
David Aardsma	FA	RP	38	41	0	2	0	2	0	4	3.79	1.35	35	17	8.2	3.9	2.1	4	43%	37%	21%	4/1/2013
Justin Wilson	PIT	RP	38	41	0	2	0	2	0	4	3.69	1.37	38	19	8.9	4.5	2.0	3	44%	36%	21%	4/1/2013
Brian Wilson	FA	RP	38	41	0	2	0	2	0	4	3.50	1.31	38	17	8.9	3.9	2.3	3	46%	33%	21%	4/1/2013
Dane de la Rosa	TB	RP	38	41	0	2	0	2	0	4	4.00	1.43	35	20	8.4	4.7	1.8	4	44%	36%	21%	4/1/2013
Joshua Fields	HOU	RP	38	41	0	2	0	2	0	0	3.93	1.40	38	20	9.0	4.7	1.9	4	42%	38%	20%	4/1/2013
A.J. Ramos	MIA	RP	38	41	0	2	0	1	0	5	3.40	1.31	41	18	9.8	4.3	2.3	3	43%	36%	21%	4/1/2013
Jeremy Jeffress	TOR	RP	38	41	0	2	0	2	0	3	4.43	1.52	35	22	8.2	5.3	1.6	4	45%	34%	21%	4/1/2013
Paco Rodriguez	LAD	RP	38	41	0	2	0	1	0	5	3.36	1.30	41	18	9.7	4.2	2.3	3	46%	34%	20%	4/1/2013
Anthony Varvaro	ATL	RP	38	41	0	2	0	2	0	0	3.92	1.41	37	21	8.8	4.9	1.8	4	42%	38%	20%	4/1/2013
Jeurys Familia	NYN	RP	38	41	0	2	0	2	0	0	3.61	1.35	39	18	9.1	4.3	2.1	3	45%	34%	21%	4/1/2013
Josh Kinney	SEA	RP	38	19	0	2	0	2	0	0	3.84	1.35	33	16	7.9	3.7	2.1	4	45%	35%	20%	4/1/2013
Burke Badenhop	MIL	RP	38	41	0	2	0	2	0	3	3.69	1.34	28	12	6.6	2.9	2.3	3	53%	26%	21%	4/1/2013
Shawn Kelley	NYA	RP	38	41	0	2	0	2	0	4	3.72	1.30	35	14	8.3	3.3	2.5	5	34%	45%	21%	4/1/2013
Nick Hagadone	CLE	RP	38	41	0	2	0	2	0	4	3.83	1.40	38	19	8.9	4.6	1.9	4	39%	41%	21%	4/1/2013
Francisco Rodriguez	MIL	RP	37	41	0	2	0	1	0	4	3.52	1.30	36	15	8.7	3.6	2.4	4	45%	34%	21%	4/1/2013
Joba Chamberlain	NYA	RP	37	41	0	2	0	1	0	4	3.37	1.25	36	13	8.8	3.1	2.8	3	45%	34%	21%	4/1/2013
Aaron Loup	TOR	RP	37	41	0	2		2	0	0	4.06	1.40	29	15	7.1	3.6	2.0	4	46%	33%	21%	4/1/2013
J.P. Howell	LAN	RP	0	0	0	0	0	0	0	4	3.71	1.36	0	0				0	49%	31%	20%	4/1/2013
Brandon Lyon	NYN	RP	37	41	0	2	0	2	0	4	3.65	1.30	33	13	7.9	3.2	2.5	4	41%	38%	21%	4/1/2013
Cory Gearrin	ATL	RP	37	41	0	2	0	1	0	4	3.50	1.31	36	16	8.6	3.9	2.2	3	49%	31%	20%	4/1/2013
Scott Elbert	LAD	RP	37	49	0	2	0	2	0	7	3.66	1.35	38	18	9.2	4.5	2.1	4	42%	38%	20%	4/1/2013
Brad Ziegler	ARI	RP	36	41	0	2	0	1	0	3	3.39	1.38	25	13	6.3	3.3	1.9	2	61%	18%	21%	4/1/2013
Oliver Perez	SEA	RP	36	41	0	2	0	2	0	4	4.12	1.43	33	18	8.2	4.6	1.8	4	38%	42%	20%	4/1/2013
Danny Duffy	KC	SP	36	11	4	3	2	2	0	0	3.79	1.33	35	16	8.8	4.0	2.2	4	39%	40%	21%	4/1/2013
Clay Rapada	NYA	RP	35	65	0	2	0	2	0	14	3.96	1.37	30	15	7.8	3.8	2.1	4	42%	37%	21%	4/1/2013
Jordan Walden	ATL	RP	35	41	0	2	0	1	0	5	2.98	1.22	41	15	10.5	3.9	2.7	3	46%	34%	20%	4/1/2013
Dan Jennings	MIA	RP	35	41	0	2	0	2	0	3	4.27	1.47	28	17	7.1	4.4	1.6	3	45%	35%	21%	4/1/2013
Logan Ondrusek	CIN	RP	35	41	0	2	0	2	0	3	4.22	1.44	27	16	7.0	4.2	1.7	4	44%	36%	21%	4/1/2013
Mike Adams	PHI	RP	35	41	0	2	0	1	0	4	3.35	1.23	32	11	8.1	2.8	2.9	4	45%	34%	21%	4/1/2013
Stephen Pryor	SEA	RP	35	41	0	2	0	2	0	4	3.79	1.40	40	21	10.2	5.3	1.9	4	40%	40%	20%	4/1/2013
Tsuyoshi Wada	BAL	SP	34	6	6	2	3	2	0	0	4.45	1.35	26	12	6.8	3.1	2.2	4	42%	38%	20%	4/1/2013
Henry Rodriguez	WAS	RP	34	41	0	2	0	1	0	5	3.47	1.34	39	19	10.4	5.0	2.1	3	43%	36%	21%	4/1/2013
Tanner Scheppers	TEX	RP	33	41	0	2	0	1	0	4	3.58	1.30	30	13	8.3	3.4	2.4	4	42%	37%	21%	4/1/2013
Javier Lopez	SF	RP	33	65	0	2	0	1	0	13	3.67	1.38	25	14	6.8	3.7	1.8	2	54%	26%	21%	4/1/2013
Matt Reynolds	ARI	RP	33	41	0	2	0	1	0	4	3.70	1.31	30	12	8.1	3.3	2.5	3	43%	36%	21%	4/1/2013
Chad Durbin	PHI	RP	33	41	0	2	0	2	0	4	3.96	1.36	27	13	7.2	3.4	2.1	4	44%	36%	21%	4/1/2013
Pat Neshek	OAK	RP	32	41	0	2	0	2	0	3	4.14	1.39	24	13	6.8	3.5	1.9	4	37%	43%	20%	4/1/2013
Kyle Farnsworth	TB	RP	32	41	0	2	0	1	0	4	3.46	1.27	28	11	8.0	3.2	2.5	3	45%	34%	21%	4/1/2013
Phillippe Aumont	PHI	RP	32	41	0	2	0	1	0	4	3.85	1.42	34	19	9.5	5.2	1.8	2	49%	31%	21%	4/1/2013
Bartolo Colon	OAK	SP	32	5	5	2	3	2	0	0	4.01	1.26	21	7	6.0	1.9	3.1	3	44%	36%	20%	4/1/2013
Cody Eppley	NYA	RP	32	41	0	2	0	1	0	3	4.07	1.43	25	14	6.9	3.9	1.8	2	51%	29%	21%	4/1/2013
Randy Choate	STL	RP	31	65	0	2	0	1	0	14	3.43	1.33	27	13	7.8	3.7	2.1	2	54%	26%	21%	4/1/2013
Michael Gonzalez	MIL	RP	30	41	0	2	0	1	0	4	3.44	1.30	31	13	9.2	3.9	2.3	3	43%	36%	21%	4/1/2013
Josh Edgin	NYN	RP	30	41	0	2	0	1	0	4	3.69	1.35	31	14	9.2	4.2	2.2	3	42%	37%	21%	4/1/2013
Blake Wood	CLE	RP	28	29	0	2	0	1	0	1	3.69	1.35	26	12	8.5	4.0	2.1	2	47%	33%	21%	4/1/2013
Nick Masset	CIN	RP	26	27	0	2	0	1	0	1	3.59	1.31	25	11	8.6	3.6	2.4	3	47%	33%	21%	4/1/2013
Lucas Luetge	SEA	RP	26	41	0	1	0	1	0	4	4.08	1.42	22	13	7.8	4.3	1.8	3	45%	35%	20%	4/1/2013
Tom Layne	SD	RP	25	41	0	1	0	1	0	3	3.84	1.37	20	11	7.2	3.8	1.9	2	46%	34%	20%	4/1/2013
Charlie Morton	PIT	SP	24	4	4	2	2	1	0	0	4.23	1.39	15	8	5.5	3.1	1.8	2	55%	25%	21%	4/1/2013
Joe Thatcher	SD	RP	23	41	0	1	0	1	0	5	3.35	1.26	23	9	8.9	3.6	2.5	2	44%	37%	20%	4/1/2013
Donnie Veal	CHA	RP	22	41	0	1	0	1	0	4	4.00	1.40	21	11	8.6	4.3	2.0	2	42%	38%	21%	4/1/2013
Dallas Braden	OAK	SP	21	4	4	2	2	1	0	0	4.26	1.31	14	6	6.1	2.6	2.3	3	40%	39%	20%	4/1/2013
Marcos Mateo	CHN	RP	17	18	0	1	0	1	0	0	3.56	1.30	17	7	8.8	3.8	2.3	2	42%	37%	21%	4/1/2013
Arodys Vizcaino	CHN	SP	16	3	3	1	2	1	0	0	3.90	1.30	15	6	8.4	3.5	2.4	2	43%	37%	21%	4/1/2013
Clayton Mortensen	BOS	RP	14	9	0	1	0	1	0	0	4.03	1.39	10	5	6.7	3.5	1.9	1	43%	36%	21%	4/1/2013
Felipe Paulino	KC	SP	14	4	1	1	1	1	0	0	3.75	1.30	13	5	8.6	3.5	2.5	1	42%	37%	21%	4/1/2013

Steamer Projections - Created in 2008 and maintained and operated by Jared Cross, Dash Davidson, and Peter Rosenbloom. One of the top (if not the top) performing projection systems based on our 2012 baseball projections test. Playing time estimates as well as Saves, Holds, and Quality Starts are provided by Rudy Gamble of Razzball.

Grey Projections - Grey has produced fantasy baseball projections @ Razzball for several years as part of his yearly preseason rankings. His projections have performed admirably against more mathy solutions – particularly given that his projections are release pre-March when playing time estimates are more hazy.

Auction Values - Two $ values are provided per player based on a $260 budget. The first one (which also determines rank) distributes dollars equally to hitters and pitchers based on number of rostered spots (so in ESPN which has 13 hitters and 9 pitchers, it would give 13/22 of the $260 to hitters and 9/22 of the $260 to pitchers). A slight adjustment is made that boost the amount of $ to hitters vs. pitchers to account for the greater predictability found in hitting stats vs. pitching stats in the aforementioned 2012 test. The second dollar value is based on a disproportionate distribution of dollars towards hitters (for ESPN leagues, this is $180 to hitters and $80 to pitchers). This valuation leads to rankings more in line with what is seen in typical snake drafts.

Point Shares Methodology - The values under the stat categories are Point Shares. They represent the estimated difference in an average team’s points if they were to substitute a given player for the average player at his position. So if a player has a 1.0 for Runs, he would, on average, increase a team’s standing points by 1 point. Multi-position eligible hitters are assigned their most valuable position for Point Share calculations based on the following order of most valuable to least valuable: C, SS, 2B, 3B, OF, 1B, DH. For more information on the methodology, see here.

Data Sources for Auction Values / Point Shares: These results are based on a combination of Steamer and CAIRO data as this combination proved to be slightly better than any single source in our 2012 baseball projections test.

Position Eligibility - 20 Games in last season for ESPN and ’2 Catcher’ formats. 10 Games for Yahoo.

ESPN Roster Format - C/1B/2B/SS/3B/CI/MI/5 OF/UTIL/9 P.

Yahoo! Roster Format - C/1B/2B/SS/3B/3 OF/2 UTIL/2 SP/2 RP/4 P.

39 Responses

Jeff Jaffee says:
January 26, 2013 at 2:59 pm (link)

How do I get rid of the annoying pop-ups that block the top part of the stats? Thanks.

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- Rudy Gamble says:
  January 26, 2013 at 3:31 pm (link)
  
  What browser and operating system are you using?
  
  Reply
Closer Guru says:
January 30, 2013 at 5:19 am (link)

Closer projections can’t be right. All of the closer have either 30 saves or 10 saves. Really?

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- Rudy Gamble says:
  January 30, 2013 at 7:49 am (link)
  
  Good question! My answer is a bit long but I think background might help in how I project saves (Saves were me vs. Steamer):
  1) Predicting an actual # of saves for a pitcher is a fools’ errand. Predicting a # that doesn’t end in 0 or 5 indicates some level of statistical precision that does not exist.
  
  2) I don’t predict more than 30-35 saves for any specific pitcher. Of the 19 closers with 30+ saves in 2011, 17 of them saved less in 2012 with only 7 exceeding 30. (for 35 saves, it was 14 closers and 4 hit that # again)
  
  3) If there isn’t 100% certainty about a team’s closer in the preseason, it is better to distribute the saves versus anoint one of the closers. The certainty increases as the pre-season wears on.
  
  4) The greatest certainty in Fantasy Baseball saves is the total # of saves in a league. For a 12-team league, I’d project an average of about 1100 saves. (Last year’s RCL averaged 1,091 saves/league with a high/low of 1131/1035).
  
  Given the above, I kept this first round of projections simple. If I feel the guy is definitely the closer to start the year, I gave him 30 saves. If I felt they were in the running, I gave them 10 saves.
  
  In February, I’ll likely create an additional distinction between more reliable and less reliable closers. I’ll probably keep the more reliable ones at 30 and the less reliable ones down at 20 or 25.
  
  For Point Shares/$ Values, I use a fixed league average (for 12, I put it at 1050. for 10, 1000 saves, etc.) that will be greater than the # of projected Saves. This is contrary to every other stat category and is because it accounts for the fact that their will be a significant # of saves coming from unpredictable sources outside the known closers. You’ll still find that Point Shares/$ values rank top closers favorably and that’s because I feel I’m better valuing their ERA/WHIP/K contributions (e.g., Craig Kimbrel is #37 ($21) because his projected ERA/WHIP/K is valued over 50% more than his Saves. In fact, if he was just a Middle Reliever so 0 saves, I’d still value him at $10 (which factors in the opportunity cost of having a reliever w/o saves).
  
  Sorry if this was more detail than you were looking for. BTW, this was very helpful at least for me because I realized the Point Share formula for Saves was incorrect.
  
  Reply
Rudy Gamble says:
January 31, 2013 at 2:16 pm (link)

UPDATED ON 1/31.

A number of pitchers added – notably Erik Bedard. A bunch of IP changed based on recent team pickups.

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Rudy Gamble says:
February 1, 2013 at 10:10 am (link)

* PROJECTIONS UPDATE *

We’ve added Quality Starts and Holds to the Steamer Projections. (Like Saves, these are projected by me so thank/complain/question me vs. Steamer on them).

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cubfever7 says:
February 2, 2013 at 5:37 am (link)

I desperately want to believe in these rankings, but can someone tell me how on earth Jason Vargas is rated so highly and a Matt Moore or Bumgarner is not?

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- Rudy Gamble says:
  February 2, 2013 at 6:04 am (link)
  
  These are just projections sorted in descending order of IP. Not rankings.
  
  Reply
cubfever7 says:
February 3, 2013 at 12:27 pm (link)

And now i desperately wish that i never asked that dumb @$$ question. Since this a steamer rater though, wouldn’t be appropriate if every player was on the Indians?

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- Rudy Gamble says:
  February 3, 2013 at 12:38 pm (link)
  
  @cubfever7: ha! many of those Cleveland pitcher projections are apt…
  
  Reply
Aaron says:
February 9, 2013 at 1:37 am (link)

Thanks Rudy for adding the QS etc. Any chance you would be interested in adding a CG projection?

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- Rudy Gamble says:
  February 9, 2013 at 7:27 am (link)
  
  No problem on QS. I don’t think I”m going to get to projecting CG this year. If I were you, I would just grab 2012 data, take the Complete Games / Game Started and apply that to this year’s GS.
  
  Reply
Fenwaysock says:
February 12, 2013 at 7:55 am (link)

Why don’t you project Hits Allowed for pitchers?

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- Rudy Gamble says:
  February 12, 2013 at 7:58 am (link)
  
  Steamer projected it – I just felt WHIP was sufficient there as the vast majority of leagues don’t have ‘Hits Allowed’ as a category. Can I ask why you’re looking for it? Open to adding it the next time I update the sheet (assuming it fits).
  
  Reply
  - Fenwaysock says:
    February 12, 2013 at 9:26 am (link)
    
    All the leagues I’m in use HA as a pitching category.
    
    Reply
    - Rudy Gamble says:
      February 12, 2013 at 10:41 am (link)
      
      I just checked and 1 out of 778 survey respondents noted Hits Allowed as a pitching category. So I don’t see adding it.
      
      Hits Allowed is available in the download version of the Projections. So you should be set.
      
      Reply
      - Fenwaysock says:
        February 12, 2013 at 12:11 pm (link)
        
        thanks!
        
        Reply
Fenwaysock says:
February 12, 2013 at 9:52 am (link)

Is there a calculation I can used to calculate HA?

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Chuck Norris says:
February 18, 2013 at 8:20 am (link)

Rudy,

Is it just me, or do the ERA projections seem really high? Last year, there were 11 SP’s that had 120IP that finished with an ERA less than 3.00. The projections only have one (strasburg), and several that you would think aren’t close for example verlander at 3.51? who hasn’t eclipsed the 3.50 mark since 2008?

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- Rudy Gamble says:
  February 18, 2013 at 6:12 pm (link)
  
  Yeah, I’ve talked to J. Cross of Steamer on it – notably Verlander’s ERA.
  
  I’m going to ping him so he can respond directly to this.
  
  Reply
J. Cross says:
February 18, 2013 at 7:02 pm (link)

Before, getting to Verlander specifically…

Even though Steamer only projects Strasburg to have an ERA under 3, it expects that several pitchers (at least) will finish under 3 this year, it just doesn’t know which, since some players will significantly outperform (and some will significantly underperform) their projections. Last year, for the fantasy relevant pitchers, we projected an average ERA of 4.01 and they actually averaged 3.96 (offensive levels across MLB were a little lower last year than expected ).

There’s regression to the mean, the group of pitchers with the lowest ERAs last year will, as a group, have higher ERAs this year.

Verlander is an interesting case though because he throws harder with runners on base and right now we’re not taking that into account in our projections. He’s hasn’t given up very many HR’s despite not really being a GB pitcher (although he was a bit more of a GB pitcher last year than in the past). Steamer thinks he’s been a little lucky with regards to his HR rate and that his HR% will most likely tick up a bit. Steamer does take into account that strikeout pitchers give up fewer HR’s per flyball but maybe it’s underestimating Verlander’s HR surpression ability. We’ll see.

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- Chuck Norris says:
  February 19, 2013 at 8:06 am (link)
  
  @J. Cross: @ Rudy Gamble….. Thanks. That makes sense. I guess since it is stat driven, you aren’t picking favorites to outperform the career/league norms like Grey does.
  
  The reason I questioned it was that I made my own “War Room” using steamer projections & point shares, and was creating mock teams, but I could never reach the ERA projection to “win your league”. I’ll just incorporate a higher ERA to balance it out.
  
  Reply
  - Rudy Gamble says:
    February 19, 2013 at 8:40 am (link)
    
    @Chuck Norris: Your’e seeing it correctly. Grey’s projections – just like any human ones (so FG Fan Projections another case) – barely use regression. The projections are generally more bullish. The only projection system that seems to be as bullish is Bill James which is funny b/c he seems to be a bearish guy.
    
    Since Steamer regresses the ERA more, the goal ERA would be higher. I imagine subtracting the aggregate ERA of the top 100 pitchers for Steamer from Grey’s will tell you the additional ERA to add to your goal. Maybe something like + 0.20?
    
    Rudy
    
    Reply
    - Chuck Norris says:
      February 19, 2013 at 11:14 am (link)
      
      @Rudy Gamble: Sounds good….thanks for the input!
      
      Reply
BigWindy says:
February 20, 2013 at 12:59 pm (link)

Hi Rudy, is the formula you use to project QS published somewhere on the site or is that kept under the hood?

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- Rudy Gamble says:
  February 20, 2013 at 1:17 pm (link)
  
  The formula is kept under the hood. It’s a pretty straightforward regression-based formula focusing on a pitcher’s projected ERA + projected IP/start.
  
  Reply
  - BigWindy says:
    February 21, 2013 at 7:06 am (link)
    
    @Rudy Gamble: Cool, the reason I asked was I’m trying to average out the Steamer/your projections with another set that doesn’t project QS. I played around with some regressions last night and came up with an RMSE of 2.096 and 0.7 R2. In general is that good or bad for making second order projections? I looked at 10 years of data, but only the top 60 starters sorted by GS for purposes of my league (the error reduced substantially once I limited the sample to guys with a lot of starts). I used the same factors you mentioned and threw an exponent on ERA since it had a bit of a non-linear plot against QS.
    
    Reply
Aston Gambino says:
March 14, 2013 at 8:52 am (link)

@Rudy Gamble – Thanks for putting all this together, fantastic stuff! Just an FYI, I see that Quality Starts is added here on the web page, but it’s still missing from the downloadable spreadsheet.

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- Rudy Gamble says:
  March 14, 2013 at 8:59 am (link)
  
  Good catch. The stats in the spreadsheet are limited to those produced by Steamer. I send them the Saves and Holds but haven’t been sending them the QS. Easiest thing to do is just cut/paste from this grid.
  
  Reply
Kent says:
March 27, 2013 at 9:08 am (link)

Hey Rudy – is there a way to get “Hit By Pitch” and “Hits” added to pitcher projections and “Hit By Pitch” for the hitter projections? Just wondering – thanks for the projections.

Reply
- Rudy Gamble says:
  March 27, 2013 at 9:54 am (link)
  
  @Kent: There’s no room on the page to add this but they are available on the export on steamerprojections.com.
  
  Reply
  - Kent says:
    March 27, 2013 at 11:12 am (link)
    
    @Rudy Gamble: Awesome – and it looks like they were updated today. The only thing i didn’t see on the pitching projections were HOLDS – am I correct that I don’t see that? I see you’re projections for SAVES, but nothing for HOLDS.
    
    Reply
    - Rudy Gamble says:
      March 27, 2013 at 11:22 am (link)
      
      @Kent: Yeah, it’s not in the export since I produce those on my end. You can cut/paste the projections on our site to link the holds into the Steamer export.
      
      Reply
      - joshzam says:
        April 8, 2013 at 5:41 pm (link)
        
        @Rudy Gamble: Speaking of holds, is it correct that only Kenley Jansen is projected to reach 18 holds, and nobody else? Doesn’t that seem low??
        
        Reply
        
        Rudy Gamble says:
        April 10, 2013 at 6:34 am (link)
        
        I see your point. My projection model for Holds has a lot of regression to it. There is very little ‘rhyme’ to the ‘reason’ why Joel Peralta had 37 Holds last year in 77 games with a 3.63 ERA while Jake McGee had 19 holds with a sub-2.00 ERA. Sure, maybe Peralta pitched exclusively with leads and McGee came in more often during tie games, big leads, and when they were down but that’s sooooo hazy. If you think ‘Closer’ is a role with some turnover, imagine the turnover in ‘Reliever who pitches with close leads’ would be. (Note: Jonny Venters had 20 Holds in 66 games last year and he was the ULTIMATE 8th inning guy coming into the year. Teammate Eric O’Flaherty had 28 in 2 less games).
        
        So the low totals for the model taken into account the fact that most pitchers that we would think get 20+ Holds will fall short.
        
        The moral of the story is that drafting for Holds is way worse than drafting for Saves (which is already tough). The key is to draft very good MRs in those leagues who will differentiate vs other MRs in ERA/WHIP/Ks and are slightly better bets for Holds. But if the model said last year that a Venters type gets 30 and an O’Flaherty type gets 15, you can see how that would’ve let to overestimating Venters’ worth.
        
        Reply
        
        joshzam says:
        April 10, 2013 at 7:26 am (link)
        
        @Rudy Gamble: Very good points, and thanks for the response. I love drafting for holds (which obviously count in my league) because not only is this a category that many (foolishly) punt, and can provide much needed K and ERA help, it also allows me to stock up on potential future closer replacements. I see it as a win/win. What I don’t want is a MR who will not be in the holds/saves mix. I imagine projecting holds should also take into consideration the “security” of the closer above him. It’s possible that a quality MR won’t reach his holds projection because he’s busy racking up saves! One also needs to be familiar with the coach and if he prefers one main setup guy or a setup committee (more fashionable than closer-by-committee). More variables, more complications. I’m currently thinking/hoping that 2013 holds leaders may be lead by Vinnie Pestano, David Hernandez, and David Robertson. Your thoughts? Any others?
        
        Reply
        
        Rudy Gamble says:
        April 10, 2013 at 8:17 am (link)
        
        Those are my hold projections above so that’s my best guesses right now. Honestly, I’d let you choose your 20 best guesses for ‘Top 3′ holds and bet you wouldn’t get all 3.
        
        Reply
Stan says:
March 27, 2013 at 1:59 pm (link)

What’s going on with Wins? There’s a ton of guys winning 20+ with Arroyo leading the way with 28. Losses seems to be off too.

Reply
- Rudy Gamble says:
  March 27, 2013 at 2:24 pm (link)
  
  @Stan: Good catch. Import screw-up. Added a note re: the Wins/Losses being incorrect on the site.
  
  Reply

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