2024 Projections

#	Name	Team	W	L	G	GS	IP	K/9	BB/9	HR/9	BABIP	LOB%	ERA	FIP	WAR
1	Zack Wheeler	PHI	14	11	33	33	201.2	9.85	2.25	0.86	.281	74.9%	2.91	3.08	5.3
2	Tarik Skubal	DET	13	7	30	30	176.2	10.94	2.02	0.85	.283	76.3%	2.72	2.71	4.8
3	Tyler Glasnow	LAD	15	6	29	29	176.2	11.41	2.60	0.92	.284	75.7%	3.07	2.85	4.5
4	George Kirby	SEA	12	10	32	32	185.1	8.84	1.36	0.96	.294	71.7%	3.48	3.13	3.9
5	Pablo López	MIN	13	10	32	32	187.0	10.30	2.33	1.05	.292	73.0%	3.47	3.24	3.8
6	Luis Castillo	SEA	12	13	33	33	199.2	9.73	2.49	1.02	.293	74.4%	3.46	3.36	3.8
7	Sonny Gray	STL	13	8	29	29	171.0	9.43	2.59	0.79	.296	74.6%	3.05	3.16	3.7
8	Joe Ryan	MIN	10	10	31	31	180.2	10.40	2.05	1.19	.284	72.3%	3.55	3.35	3.6
9	Logan Webb	SFG	12	11	33	33	200.0	7.60	2.14	0.64	.318	72.2%	3.47	3.20	3.6
10	Shota Imanaga	CHC	14	8	30	30	181.1	9.26	2.01	1.09	.282	76.8%	3.15	3.41	3.6
11	Dylan Cease	SDP	13	9	30	30	178.2	10.64	3.54	0.89	.262	72.6%	3.30	3.33	3.5
12	Corbin Burnes	BAL	13	10	33	33	201.1	9.59	2.62	1.03	.279	75.4%	3.30	3.48	3.5
13	Chris Sale	ATL	13	7	28	28	160.2	10.72	2.30	1.04	.288	74.2%	3.36	3.18	3.4
14	Freddy Peralta	MIL	12	8	30	30	169.2	11.26	3.28	1.04	.275	74.3%	3.45	3.44	3.4
15	Cole Ragans	KCR	10	9	31	31	175.2	10.24	3.56	0.83	.308	74.3%	3.59	3.35	3.3
16	Ranger Suárez	PHI	14	7	30	30	179.0	8.18	2.58	0.89	.280	75.8%	3.19	3.58	3.3
17	Yoshinobu Yamamoto	LAD	13	7	30	30	176.0	9.89	2.18	1.15	.289	75.3%	3.43	3.44	3.3
18	Kevin Gausman	TOR	12	11	32	32	179.2	9.53	2.35	1.06	.295	72.8%	3.52	3.42	3.3
19	Yusei Kikuchi	TOR	10	9	30	30	161.2	9.76	2.83	0.94	.299	75.8%	3.36	3.36	3.3
20	Tanner Houck	BOS	10	10	33	27	164.0	8.75	2.50	0.71	.307	71.1%	3.39	3.24	3.3
21	Hunter Greene	CIN	8	9	29	29	165.0	10.77	3.56	1.12	.291	73.1%	3.87	3.78	3.2
22	Aaron Nola	PHI	13	9	32	32	194.1	8.79	2.41	1.26	.284	74.9%	3.70	3.89	3.1
23	Logan Gilbert	SEA	12	9	32	32	196.2	9.20	2.25	1.12	.265	77.5%	3.14	3.53	3.1
24	Nick Lodolo	CIN	10	7	32	24	143.1	10.82	2.93	0.98	.296	74.0%	3.45	3.41	3.0
25	Zac Gallen	ARI	13	10	31	31	182.2	9.36	2.61	1.01	.297	74.8%	3.54	3.51	2.9
26	Zach Eflin	TBR	11	12	32	32	190.0	8.04	1.34	1.15	.293	73.5%	3.59	3.56	2.9
27	Max Fried	ATL	12	8	32	32	185.2	8.38	2.60	0.88	.295	72.5%	3.56	3.54	2.9
28	Kutter Crawford	BOS	9	9	34	29	170.1	8.69	2.91	1.09	.287	74.2%	3.70	3.89	2.8
29	Framber Valdez	HOU	11	8	27	27	164.2	8.70	2.89	0.73	.317	74.0%	3.37	3.41	2.8
30	MacKenzie Gore	WSN	9	10	29	29	152.2	10.48	3.48	1.03	.317	74.2%	3.63	3.60	2.7

#	Name	Team	W	L	G	GS	IP	K/9	BB/9	HR/9	BABIP	LOB%	ERA	FIP	WAR
1	Zack Wheeler	PHI	14	11	33	33	201.2	9.85	2.25	0.86	.281	74.9%	2.91	3.08	5.3
2	Tarik Skubal	DET	13	7	30	30	176.2	10.94	2.02	0.85	.283	76.3%	2.72	2.71	4.8
3	Tyler Glasnow	LAD	15	6	29	29	176.2	11.41	2.60	0.92	.284	75.7%	3.07	2.85	4.5
4	George Kirby	SEA	12	10	32	32	185.1	8.84	1.36	0.96	.294	71.7%	3.48	3.13	3.9
5	Pablo López	MIN	13	10	32	32	187.0	10.30	2.33	1.05	.292	73.0%	3.47	3.24	3.8
6	Luis Castillo	SEA	12	13	33	33	199.2	9.73	2.49	1.02	.293	74.4%	3.46	3.36	3.8
7	Sonny Gray	STL	13	8	29	29	171.0	9.43	2.59	0.79	.296	74.6%	3.05	3.16	3.7
8	Joe Ryan	MIN	10	10	31	31	180.2	10.40	2.05	1.19	.284	72.3%	3.55	3.35	3.6
9	Logan Webb	SFG	12	11	33	33	200.0	7.60	2.14	0.64	.318	72.2%	3.47	3.20	3.6
10	Shota Imanaga	CHC	14	8	30	30	181.1	9.26	2.01	1.09	.282	76.8%	3.15	3.41	3.6
11	Dylan Cease	SDP	13	9	30	30	178.2	10.64	3.54	0.89	.262	72.6%	3.30	3.33	3.5
12	Corbin Burnes	BAL	13	10	33	33	201.1	9.59	2.62	1.03	.279	75.4%	3.30	3.48	3.5
13	Chris Sale	ATL	13	7	28	28	160.2	10.72	2.30	1.04	.288	74.2%	3.36	3.18	3.4
14	Freddy Peralta	MIL	12	8	30	30	169.2	11.26	3.28	1.04	.275	74.3%	3.45	3.44	3.4
15	Cole Ragans	KCR	10	9	31	31	175.2	10.24	3.56	0.83	.308	74.3%	3.59	3.35	3.3
16	Ranger Suárez	PHI	14	7	30	30	179.0	8.18	2.58	0.89	.280	75.8%	3.19	3.58	3.3
17	Yoshinobu Yamamoto	LAD	13	7	30	30	176.0	9.89	2.18	1.15	.289	75.3%	3.43	3.44	3.3
18	Kevin Gausman	TOR	12	11	32	32	179.2	9.53	2.35	1.06	.295	72.8%	3.52	3.42	3.3
19	Yusei Kikuchi	TOR	10	9	30	30	161.2	9.76	2.83	0.94	.299	75.8%	3.36	3.36	3.3
20	Tanner Houck	BOS	10	10	33	27	164.0	8.75	2.50	0.71	.307	71.1%	3.39	3.24	3.3
21	Hunter Greene	CIN	8	9	29	29	165.0	10.77	3.56	1.12	.291	73.1%	3.87	3.78	3.2
22	Aaron Nola	PHI	13	9	32	32	194.1	8.79	2.41	1.26	.284	74.9%	3.70	3.89	3.1
23	Logan Gilbert	SEA	12	9	32	32	196.2	9.20	2.25	1.12	.265	77.5%	3.14	3.53	3.1
24	Nick Lodolo	CIN	10	7	32	24	143.1	10.82	2.93	0.98	.296	74.0%	3.45	3.41	3.0
25	Zac Gallen	ARI	13	10	31	31	182.2	9.36	2.61	1.01	.297	74.8%	3.54	3.51	2.9
26	Zach Eflin	TBR	11	12	32	32	190.0	8.04	1.34	1.15	.293	73.5%	3.59	3.56	2.9
27	Max Fried	ATL	12	8	32	32	185.2	8.38	2.60	0.88	.295	72.5%	3.56	3.54	2.9
28	Kutter Crawford	BOS	9	9	34	29	170.1	8.69	2.91	1.09	.287	74.2%	3.70	3.89	2.8
29	Framber Valdez	HOU	11	8	27	27	164.2	8.70	2.89	0.73	.317	74.0%	3.37	3.41	2.8
30	MacKenzie Gore	WSN	9	10	29	29	152.2	10.48	3.48	1.03	.317	74.2%	3.63	3.60	2.7

of 182

Page Size:

1 - 30 of 5435 results

of 182

Page Size:

1 - 30 of 5435 results

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