2024 Projections

#	Name	Team	W	L	G	GS	IP	K/9	BB/9	HR/9	BABIP	LOB%	ERA	FIP	WAR
1	Spencer Strider	ATL	15	6	28	28	176.1	12.66	2.97	0.95	.302	72.1%	3.38	2.92	5.2
2	Zack Wheeler	PHI	13	8	30	30	183.2	9.38	2.12	0.99	.291	71.7%	3.51	3.45	4.8
3	Kevin Gausman	TOR	12	9	31	30	177.2	10.53	2.35	1.02	.308	74.3%	3.42	3.25	4.6
4	Logan Webb	SFG	12	10	30	30	189.2	8.06	1.90	0.74	.305	71.7%	3.44	3.28	4.6
5	Aaron Nola	PHI	12	9	30	30	185.2	9.45	1.94	1.23	.294	70.0%	3.89	3.67	4.3
6	Pablo López	MIN	12	8	29	29	180.1	9.96	2.37	1.07	.298	73.4%	3.53	3.51	3.8
7	Tarik Skubal	DET	10	9	28	28	155.1	10.32	2.39	0.99	.298	72.9%	3.44	3.28	3.8
8	George Kirby	SEA	12	9	30	30	179.1	8.51	1.34	1.09	.296	71.6%	3.57	3.50	3.8
9	Zach Eflin	TBR	11	8	28	28	164.1	8.77	1.58	1.09	.297	71.3%	3.65	3.52	3.7
10	Framber Valdez	HOU	14	8	29	29	186.2	9.01	2.92	0.81	.295	73.7%	3.40	3.56	3.7
11	Luis Castillo	SEA	13	9	30	30	185.1	9.59	2.72	1.06	.284	73.3%	3.54	3.67	3.6
12	Zac Gallen	ARI	13	9	30	30	184.2	9.25	2.44	1.04	.292	71.5%	3.69	3.64	3.6
13	Yoshinobu Yamamoto	LAD	12	7	26	26	161.1	9.64	2.40	1.07	.292	71.2%	3.69	3.56	3.5
14	Corbin Burnes	BAL	11	8	29	29	181.2	9.70	2.71	1.02	.285	72.7%	3.54	3.62	3.5
15	Blake Snell	SFG	11	9	30	29	162.0	11.46	4.23	0.90	.295	75.0%	3.46	3.50	3.5
16	Max Fried	ATL	13	6	27	27	160.0	8.66	2.22	0.92	.301	74.1%	3.41	3.50	3.4
17	Freddy Peralta	MIL	11	9	28	28	160.0	10.85	3.08	1.19	.286	72.8%	3.72	3.73	3.4
18	Justin Steele	CHC	11	8	29	29	167.1	8.78	2.64	0.97	.300	72.9%	3.67	3.71	3.2
19	Jesús Luzardo	MIA	11	9	29	29	166.1	10.24	2.92	1.17	.299	73.3%	3.78	3.76	3.2
20	Tyler Glasnow	LAD	11	6	24	24	139.0	11.38	2.81	1.17	.288	73.9%	3.50	3.42	3.1
21	Logan Gilbert	SEA	12	8	30	30	181.0	9.01	2.06	1.25	.289	71.8%	3.83	3.84	3.0
22	Mitch Keller	PIT	10	10	30	30	177.2	8.67	3.01	1.02	.303	69.8%	4.15	3.98	3.0
23	Grayson Rodriguez	BAL	11	8	30	29	159.1	9.70	2.97	1.00	.291	71.6%	3.72	3.63	3.0
24	Dylan Cease	SDP	10	8	30	30	171.1	10.51	3.82	1.13	.294	73.4%	3.87	3.94	2.9
25	Shane Bieber	CLE	10	8	26	26	164.2	8.54	2.34	1.10	.295	72.1%	3.78	3.81	2.9
26	Michael King	SDP	9	7	34	24	139.2	9.96	3.02	0.98	.295	73.3%	3.56	3.60	2.8
27	Jordan Montgomery	ARI	10	8	28	28	162.0	8.17	2.42	1.05	.297	72.2%	3.81	3.86	2.8
28	Bobby Miller	LAD	12	7	26	26	151.2	8.86	2.48	1.07	.283	69.9%	3.83	3.80	2.8
29	Sonny Gray	STL	9	8	26	26	154.1	8.61	2.94	0.95	.291	72.7%	3.67	3.82	2.8
30	Tanner Bibee	CLE	10	8	28	28	163.2	9.20	2.73	1.16	.292	73.3%	3.76	3.91	2.8

#	Name	Team	W	L	G	GS	IP	K/9	BB/9	HR/9	BABIP	LOB%	ERA	FIP	WAR
1	Spencer Strider	ATL	15	6	28	28	176.1	12.66	2.97	0.95	.302	72.1%	3.38	2.92	5.2
2	Zack Wheeler	PHI	13	8	30	30	183.2	9.38	2.12	0.99	.291	71.7%	3.51	3.45	4.8
3	Kevin Gausman	TOR	12	9	31	30	177.2	10.53	2.35	1.02	.308	74.3%	3.42	3.25	4.6
4	Logan Webb	SFG	12	10	30	30	189.2	8.06	1.90	0.74	.305	71.7%	3.44	3.28	4.6
5	Aaron Nola	PHI	12	9	30	30	185.2	9.45	1.94	1.23	.294	70.0%	3.89	3.67	4.3
6	Pablo López	MIN	12	8	29	29	180.1	9.96	2.37	1.07	.298	73.4%	3.53	3.51	3.8
7	Tarik Skubal	DET	10	9	28	28	155.1	10.32	2.39	0.99	.298	72.9%	3.44	3.28	3.8
8	George Kirby	SEA	12	9	30	30	179.1	8.51	1.34	1.09	.296	71.6%	3.57	3.50	3.8
9	Zach Eflin	TBR	11	8	28	28	164.1	8.77	1.58	1.09	.297	71.3%	3.65	3.52	3.7
10	Framber Valdez	HOU	14	8	29	29	186.2	9.01	2.92	0.81	.295	73.7%	3.40	3.56	3.7
11	Luis Castillo	SEA	13	9	30	30	185.1	9.59	2.72	1.06	.284	73.3%	3.54	3.67	3.6
12	Zac Gallen	ARI	13	9	30	30	184.2	9.25	2.44	1.04	.292	71.5%	3.69	3.64	3.6
13	Yoshinobu Yamamoto	LAD	12	7	26	26	161.1	9.64	2.40	1.07	.292	71.2%	3.69	3.56	3.5
14	Corbin Burnes	BAL	11	8	29	29	181.2	9.70	2.71	1.02	.285	72.7%	3.54	3.62	3.5
15	Blake Snell	SFG	11	9	30	29	162.0	11.46	4.23	0.90	.295	75.0%	3.46	3.50	3.5
16	Max Fried	ATL	13	6	27	27	160.0	8.66	2.22	0.92	.301	74.1%	3.41	3.50	3.4
17	Freddy Peralta	MIL	11	9	28	28	160.0	10.85	3.08	1.19	.286	72.8%	3.72	3.73	3.4
18	Justin Steele	CHC	11	8	29	29	167.1	8.78	2.64	0.97	.300	72.9%	3.67	3.71	3.2
19	Jesús Luzardo	MIA	11	9	29	29	166.1	10.24	2.92	1.17	.299	73.3%	3.78	3.76	3.2
20	Tyler Glasnow	LAD	11	6	24	24	139.0	11.38	2.81	1.17	.288	73.9%	3.50	3.42	3.1
21	Logan Gilbert	SEA	12	8	30	30	181.0	9.01	2.06	1.25	.289	71.8%	3.83	3.84	3.0
22	Mitch Keller	PIT	10	10	30	30	177.2	8.67	3.01	1.02	.303	69.8%	4.15	3.98	3.0
23	Grayson Rodriguez	BAL	11	8	30	29	159.1	9.70	2.97	1.00	.291	71.6%	3.72	3.63	3.0
24	Dylan Cease	SDP	10	8	30	30	171.1	10.51	3.82	1.13	.294	73.4%	3.87	3.94	2.9
25	Shane Bieber	CLE	10	8	26	26	164.2	8.54	2.34	1.10	.295	72.1%	3.78	3.81	2.9
26	Michael King	SDP	9	7	34	24	139.2	9.96	3.02	0.98	.295	73.3%	3.56	3.60	2.8
27	Jordan Montgomery	ARI	10	8	28	28	162.0	8.17	2.42	1.05	.297	72.2%	3.81	3.86	2.8
28	Bobby Miller	LAD	12	7	26	26	151.2	8.86	2.48	1.07	.283	69.9%	3.83	3.80	2.8
29	Sonny Gray	STL	9	8	26	26	154.1	8.61	2.94	0.95	.291	72.7%	3.67	3.82	2.8
30	Tanner Bibee	CLE	10	8	28	28	163.2	9.20	2.73	1.16	.292	73.3%	3.76	3.91	2.8

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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
Inter-Projection Standard Deviation (InterSD):The standard deviation of the underlying projections surrounding the ATC average auction value. InterSD describes how much the projections disagree about the value of a player. The larger the InterSD, the more projections differ.
Inter-Projection Skewness (InterSK):The skewness of the underlying projections surrounding the ATC average auction value. InterSK describes the symmetry of the underlying projections. A positive InterSK means that a player’s mean is being pulled to the upside; the majority of projections are lower than the ATC average. A negative InterSK means that a player’s mean is being pulled to the downside; the majority of projections are higher than the ATC average.
Intra-Projection Standard Deviation (IntraSD):The standard deviation of a player’s categorical Z-Scores. IntraSD is a measure of the dimension of a player’s statistical profile. The smaller the IntraSD, the more balanced the individual player’s category contributions are. The larger the IntraSD, the more unbalanced the player’s category contributions are.