2024 Projections

#	Name	Team	W	L	G	GS	IP	K/9	BB/9	HR/9	BABIP	LOB%	ERA	FIP	WAR
1	Jacob deGrom	TEX	15	9	32	32	200.0	12.78	1.83	0.90	.285	77.9%	2.57	2.29	7.5
2	Paul Skenes	PIT	14	9	32	32	200.0	11.78	2.40	0.77	.295	76.8%	2.70	2.56	6.1
3	Garrett Crochet	CHW	13	11	32	32	200.0	11.88	2.90	0.89	.286	77.5%	2.84	2.89	5.9
4	Tarik Skubal	DET	13	10	32	32	200.0	10.59	2.10	0.87	.292	76.5%	2.87	2.87	5.4
5	Tyler Glasnow	LAD	14	9	32	32	200.0	11.51	2.73	0.96	.296	75.5%	3.14	2.95	5.1
6	Chris Sale	ATL	14	10	32	32	200.0	11.34	2.29	0.99	.298	75.4%	3.14	2.97	4.9
7	Zack Wheeler	PHI	13	10	32	32	200.0	9.37	2.27	0.99	.289	74.4%	3.32	3.39	4.7
8	Spencer Strider	ATL	14	10	32	32	200.0	12.08	3.07	1.03	.292	75.6%	3.27	3.10	4.6
9	Pablo López	MIN	13	11	32	32	200.0	9.85	2.30	1.01	.296	73.9%	3.43	3.32	4.2
10	Yoshinobu Yamamoto	LAD	14	10	32	32	200.0	9.80	2.32	1.07	.297	74.3%	3.46	3.38	4.1
11	Freddy Peralta	MIL	13	11	32	32	200.0	10.99	3.08	1.10	.284	75.2%	3.44	3.47	4.1
12	Joe Ryan	MIN	13	11	32	32	200.0	10.16	2.05	1.25	.284	73.8%	3.62	3.51	4.1
13	Shohei Ohtani	LAD	14	10	32	32	200.0	10.73	2.95	1.07	.291	75.4%	3.41	3.44	4.1
14	George Kirby	SEA	12	11	32	32	200.0	8.59	1.33	1.09	.288	73.5%	3.39	3.37	4.0
15	Dylan Cease	SDP	13	10	32	32	200.0	11.09	3.30	1.02	.285	75.7%	3.35	3.37	3.9
16	Sonny Gray	STL	13	11	32	32	200.0	9.36	2.64	0.91	.298	73.7%	3.44	3.38	3.9
17	Aaron Nola	PHI	13	11	32	32	200.0	9.08	2.07	1.19	.293	73.6%	3.68	3.64	3.9
18	Shane McClanahan	TBR	13	11	32	32	200.0	9.94	2.60	0.98	.290	75.5%	3.24	3.30	3.8
19	Kevin Gausman	TOR	13	11	32	32	200.0	9.49	2.37	1.15	.292	73.6%	3.68	3.56	3.8
20	Corbin Burnes	BAL	13	10	32	32	200.0	9.40	2.54	1.04	.296	73.5%	3.58	3.51	3.7
21	Nick Lodolo	CIN	13	12	32	32	200.0	9.99	2.93	1.09	.299	73.4%	3.70	3.75	3.7
22	Logan Webb	SFG	12	11	32	32	200.0	7.94	2.04	0.70	.309	72.4%	3.34	3.19	3.7
23	Brandon Woodruff	MIL	13	12	32	32	200.0	9.67	2.42	1.19	.289	73.9%	3.66	3.64	3.7
24	Cole Ragans	KCR	13	11	32	32	200.0	9.88	3.41	0.99	.294	74.7%	3.56	3.61	3.6
25	Cristopher Sánchez	PHI	13	11	32	32	200.0	7.99	2.86	0.84	.302	73.4%	3.54	3.65	3.6
26	Shane Bieber	CLE	13	11	32	32	200.0	9.14	2.20	1.06	.298	73.8%	3.54	3.48	3.6
27	Max Scherzer	TEX	12	12	32	32	200.0	9.64	2.31	1.40	.284	73.6%	3.94	3.93	3.5
28	Jack Flaherty	DET	12	12	32	32	200.0	9.82	2.83	1.01	.294	73.8%	3.56	3.52	3.5
29	Framber Valdez	HOU	13	10	32	32	200.0	8.35	2.99	0.79	.310	73.1%	3.53	3.58	3.5
30	Tanner Houck	BOS	12	12	32	32	200.0	8.28	2.79	0.87	.312	70.9%	3.90	3.66	3.5

#	Name	Team	W	L	G	GS	IP	K/9	BB/9	HR/9	BABIP	LOB%	ERA	FIP	WAR
1	Jacob deGrom	TEX	15	9	32	32	200.0	12.78	1.83	0.90	.285	77.9%	2.57	2.29	7.5
2	Paul Skenes	PIT	14	9	32	32	200.0	11.78	2.40	0.77	.295	76.8%	2.70	2.56	6.1
3	Garrett Crochet	CHW	13	11	32	32	200.0	11.88	2.90	0.89	.286	77.5%	2.84	2.89	5.9
4	Tarik Skubal	DET	13	10	32	32	200.0	10.59	2.10	0.87	.292	76.5%	2.87	2.87	5.4
5	Tyler Glasnow	LAD	14	9	32	32	200.0	11.51	2.73	0.96	.296	75.5%	3.14	2.95	5.1
6	Chris Sale	ATL	14	10	32	32	200.0	11.34	2.29	0.99	.298	75.4%	3.14	2.97	4.9
7	Zack Wheeler	PHI	13	10	32	32	200.0	9.37	2.27	0.99	.289	74.4%	3.32	3.39	4.7
8	Spencer Strider	ATL	14	10	32	32	200.0	12.08	3.07	1.03	.292	75.6%	3.27	3.10	4.6
9	Pablo López	MIN	13	11	32	32	200.0	9.85	2.30	1.01	.296	73.9%	3.43	3.32	4.2
10	Yoshinobu Yamamoto	LAD	14	10	32	32	200.0	9.80	2.32	1.07	.297	74.3%	3.46	3.38	4.1
11	Freddy Peralta	MIL	13	11	32	32	200.0	10.99	3.08	1.10	.284	75.2%	3.44	3.47	4.1
12	Joe Ryan	MIN	13	11	32	32	200.0	10.16	2.05	1.25	.284	73.8%	3.62	3.51	4.1
13	Shohei Ohtani	LAD	14	10	32	32	200.0	10.73	2.95	1.07	.291	75.4%	3.41	3.44	4.1
14	George Kirby	SEA	12	11	32	32	200.0	8.59	1.33	1.09	.288	73.5%	3.39	3.37	4.0
15	Dylan Cease	SDP	13	10	32	32	200.0	11.09	3.30	1.02	.285	75.7%	3.35	3.37	3.9
16	Sonny Gray	STL	13	11	32	32	200.0	9.36	2.64	0.91	.298	73.7%	3.44	3.38	3.9
17	Aaron Nola	PHI	13	11	32	32	200.0	9.08	2.07	1.19	.293	73.6%	3.68	3.64	3.9
18	Shane McClanahan	TBR	13	11	32	32	200.0	9.94	2.60	0.98	.290	75.5%	3.24	3.30	3.8
19	Kevin Gausman	TOR	13	11	32	32	200.0	9.49	2.37	1.15	.292	73.6%	3.68	3.56	3.8
20	Corbin Burnes	BAL	13	10	32	32	200.0	9.40	2.54	1.04	.296	73.5%	3.58	3.51	3.7
21	Nick Lodolo	CIN	13	12	32	32	200.0	9.99	2.93	1.09	.299	73.4%	3.70	3.75	3.7
22	Logan Webb	SFG	12	11	32	32	200.0	7.94	2.04	0.70	.309	72.4%	3.34	3.19	3.7
23	Brandon Woodruff	MIL	13	12	32	32	200.0	9.67	2.42	1.19	.289	73.9%	3.66	3.64	3.7
24	Cole Ragans	KCR	13	11	32	32	200.0	9.88	3.41	0.99	.294	74.7%	3.56	3.61	3.6
25	Cristopher Sánchez	PHI	13	11	32	32	200.0	7.99	2.86	0.84	.302	73.4%	3.54	3.65	3.6
26	Shane Bieber	CLE	13	11	32	32	200.0	9.14	2.20	1.06	.298	73.8%	3.54	3.48	3.6
27	Max Scherzer	TEX	12	12	32	32	200.0	9.64	2.31	1.40	.284	73.6%	3.94	3.93	3.5
28	Jack Flaherty	DET	12	12	32	32	200.0	9.82	2.83	1.01	.294	73.8%	3.56	3.52	3.5
29	Framber Valdez	HOU	13	10	32	32	200.0	8.35	2.99	0.79	.310	73.1%	3.53	3.58	3.5
30	Tanner Houck	BOS	12	12	32	32	200.0	8.28	2.79	0.87	.312	70.9%	3.90	3.66	3.5

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ZiPS:ZiPS Projections courtesy of Dan Szymborski
ZiPS DC:ZiPS Projections pro-rated to Depth Charts playing time
Steamer:Steamer Projections courtesy of steamerprojections.com
Depth Charts:FanGraphs Depth Chart projections are a combination of ZiPS and Steamer projections with playing time allocated by our staff.
ATC:ATC Projections courtesy of Ariel Cohen
THE BAT:THE BAT projections courtesy of Derek Carty. DFS version of THE BAT available at RotoGrinders. Sports betting version of THE BAT available at EV Analytics
THE BAT X:THE BAT X projections courtesy of Derek Carty. DFS version of THE BAT X available at RotoGrinders. Sports betting version of THE BAT X available at EV Analytics

On-Pace - Every Game Played:Please note, these are not projections. They represent a player's current seasons stats pro-rated for the remaining games in the season if they were to play in every single remaining game*. This is not how a player will actually perform the rest of the season, and should not be used for anything other than your own personal amusement. (*Starters pitch every 4.5 days and relievers pitch every 2.5 days.)
On-Pace - Games Played %:Please note, these are not projections. They represent a player's current seasons stats prorated for the remaining games in the season if they were to play the same percentage of total games they have already played this season. This is not how a player will actually perform the rest of the season, and should not be used for anything other than your own personal amusement.
RoS:Rest of Season
Update:Updated In-Season

ADP:ADP data provided courtesy of National Fantasy Baseball Championship