2024 Projections

#	Name	Team	G	PA	HR	R	RBI	SB	BB%	K%	ISO	BABIP	AVG	OBP	SLG	wOBA	wRC+	BsR	Off	Def	WAR
1	Corey Seager	TEX	132	578	30	85	90	3	9.5%	16.2%	.245	.305	.293	.365	.538	.380	142	-1.4	27.7	2.5	5.0
2	Gunnar Henderson	BAL	146	620	26	88	83	12	10.1%	25.1%	.215	.317	.261	.340	.477	.350	126	0.3	19.3	8.0	4.8
3	Bobby Witt Jr.	KCR	152	658	29	98	89	41	6.0%	18.4%	.221	.303	.279	.326	.500	.349	121	3.0	19.9	5.1	4.7
4	Marcus Semien	TEX	153	679	27	99	85	15	9.1%	16.2%	.197	.279	.263	.332	.460	.340	114	0.9	12.6	5.8	4.1
5	Bo Bichette	TOR	146	638	22	85	83	11	5.6%	19.7%	.176	.334	.290	.332	.466	.342	120	-0.4	14.6	1.6	3.8
6	Gleyber Torres	NYY	146	625	24	83	76	13	9.2%	17.3%	.181	.292	.268	.339	.449	.340	115	-1.0	10.2	1.6	3.3
7	Carlos Correa	MIN	135	582	21	70	71	0	10.2%	21.2%	.178	.300	.258	.338	.437	.335	114	-1.8	8.3	3.9	3.2
8	J.P. Crawford	SEA	145	627	12	80	57	3	11.9%	17.4%	.128	.295	.254	.350	.382	.325	110	-1.0	6.9	3.5	3.2
9	Anthony Volpe	NYY	143	578	19	71	65	25	8.8%	25.2%	.177	.284	.233	.309	.410	.312	96	0.9	-2.0	8.4	2.6
10	Zach Neto	LAA	135	550	18	68	65	11	7.4%	22.9%	.170	.295	.248	.324	.418	.322	103	-0.4	1.3	5.6	2.5
11	Jorge Polanco	SEA	125	537	21	66	68	6	10.1%	23.5%	.185	.288	.245	.325	.430	.327	112	-0.5	7.2	-1.1	2.4
12	Jeremy Peña	HOU	144	596	15	74	63	13	6.1%	21.5%	.138	.312	.260	.313	.398	.309	96	-0.2	-3.1	6.2	2.3
13	Trevor Story	BOS	120	504	18	65	63	20	7.9%	28.7%	.183	.306	.239	.306	.422	.313	92	1.2	-3.6	4.9	1.8
14	Vaughn Grissom	BOS	119	481	9	58	53	10	7.8%	16.9%	.128	.323	.278	.345	.407	.328	102	-0.5	1.0	-0.3	1.7
15	Luis Urías	SEA	88	343	10	38	35	2	10.3%	23.3%	.152	.270	.224	.321	.376	.309	99	-0.7	-1.0	1.9	1.3
16	Brayan Rocchio	CLE	105	432	6	51	43	11	7.3%	19.1%	.114	.293	.245	.307	.359	.293	86	-0.6	-7.7	4.7	1.2
17	Jon Berti	NYY	91	344	6	43	29	21	8.8%	20.4%	.113	.311	.256	.327	.369	.307	92	1.3	-1.9	1.5	1.1
18	Junior Caminero	TBR	71	299	11	36	40	3	6.7%	20.8%	.176	.302	.264	.318	.440	.326	105	-0.5	1.3	-0.9	1.1
19	Amed Rosario	TBR	93	380	6	47	40	10	4.8%	18.1%	.123	.315	.269	.308	.392	.303	90	0.2	-4.5	0.7	0.9
20	José Caballero	TBR	77	274	5	34	25	21	10.5%	23.1%	.120	.284	.226	.328	.346	.303	89	0.6	-2.9	2.4	0.9
21	Javier Báez	DET	130	534	14	60	60	11	4.7%	24.8%	.141	.296	.239	.284	.380	.288	80	0.2	-12.5	3.0	0.9
22	Darell Hernaiz	OAK	73	299	4	31	27	7	6.1%	17.4%	.105	.290	.248	.299	.353	.286	84	-0.2	-6.1	3.2	0.7
23	Isiah Kiner-Falefa	TOR	94	363	4	40	32	14	6.5%	16.5%	.085	.299	.256	.311	.341	.289	83	0.2	-7.3	2.0	0.7
24	Jorge Mateo	BAL	64	233	5	31	22	17	5.6%	25.2%	.139	.294	.232	.281	.372	.283	80	1.4	-4.3	2.9	0.7
25	Kyle Farmer	MIN	73	276	6	31	31	2	5.6%	20.6%	.129	.291	.245	.303	.374	.297	88	-0.6	-4.6	1.7	0.6
26	Ezequiel Duran	TEX	75	285	9	35	32	6	5.5%	26.1%	.166	.318	.253	.302	.419	.310	93	-0.8	-3.1	-0.6	0.6
27	Gabriel Arias	CLE	74	267	7	29	27	3	7.5%	28.9%	.145	.306	.231	.296	.377	.294	87	-0.5	-4.7	1.5	0.6
28	Colson Montgomery	CHW	49	201	5	22	20	1	10.1%	23.6%	.132	.289	.231	.323	.363	.303	90	-0.4	-2.9	2.0	0.6
29	Nick Allen	OAK	86	316	4	30	22	7	6.3%	17.1%	.091	.272	.232	.285	.323	.269	72	0.0	-10.6	5.6	0.6
30	Nicky Lopez	CHW	110	407	2	44	28	11	8.2%	15.0%	.067	.286	.242	.313	.309	.280	74	0.6	-12.2	3.7	0.5

#	Name	Team	G	PA	HR	R	RBI	SB	BB%	K%	ISO	BABIP	AVG	OBP	SLG	wOBA	wRC+	BsR	Off	Def	WAR
1	Corey Seager	TEX	132	578	30	85	90	3	9.5%	16.2%	.245	.305	.293	.365	.538	.380	142	-1.4	27.7	2.5	5.0
2	Gunnar Henderson	BAL	146	620	26	88	83	12	10.1%	25.1%	.215	.317	.261	.340	.477	.350	126	0.3	19.3	8.0	4.8
3	Bobby Witt Jr.	KCR	152	658	29	98	89	41	6.0%	18.4%	.221	.303	.279	.326	.500	.349	121	3.0	19.9	5.1	4.7
4	Marcus Semien	TEX	153	679	27	99	85	15	9.1%	16.2%	.197	.279	.263	.332	.460	.340	114	0.9	12.6	5.8	4.1
5	Bo Bichette	TOR	146	638	22	85	83	11	5.6%	19.7%	.176	.334	.290	.332	.466	.342	120	-0.4	14.6	1.6	3.8
6	Gleyber Torres	NYY	146	625	24	83	76	13	9.2%	17.3%	.181	.292	.268	.339	.449	.340	115	-1.0	10.2	1.6	3.3
7	Carlos Correa	MIN	135	582	21	70	71	0	10.2%	21.2%	.178	.300	.258	.338	.437	.335	114	-1.8	8.3	3.9	3.2
8	J.P. Crawford	SEA	145	627	12	80	57	3	11.9%	17.4%	.128	.295	.254	.350	.382	.325	110	-1.0	6.9	3.5	3.2
9	Anthony Volpe	NYY	143	578	19	71	65	25	8.8%	25.2%	.177	.284	.233	.309	.410	.312	96	0.9	-2.0	8.4	2.6
10	Zach Neto	LAA	135	550	18	68	65	11	7.4%	22.9%	.170	.295	.248	.324	.418	.322	103	-0.4	1.3	5.6	2.5
11	Jorge Polanco	SEA	125	537	21	66	68	6	10.1%	23.5%	.185	.288	.245	.325	.430	.327	112	-0.5	7.2	-1.1	2.4
12	Jeremy Peña	HOU	144	596	15	74	63	13	6.1%	21.5%	.138	.312	.260	.313	.398	.309	96	-0.2	-3.1	6.2	2.3
13	Trevor Story	BOS	120	504	18	65	63	20	7.9%	28.7%	.183	.306	.239	.306	.422	.313	92	1.2	-3.6	4.9	1.8
14	Vaughn Grissom	BOS	119	481	9	58	53	10	7.8%	16.9%	.128	.323	.278	.345	.407	.328	102	-0.5	1.0	-0.3	1.7
15	Luis Urías	SEA	88	343	10	38	35	2	10.3%	23.3%	.152	.270	.224	.321	.376	.309	99	-0.7	-1.0	1.9	1.3
16	Brayan Rocchio	CLE	105	432	6	51	43	11	7.3%	19.1%	.114	.293	.245	.307	.359	.293	86	-0.6	-7.7	4.7	1.2
17	Jon Berti	NYY	91	344	6	43	29	21	8.8%	20.4%	.113	.311	.256	.327	.369	.307	92	1.3	-1.9	1.5	1.1
18	Junior Caminero	TBR	71	299	11	36	40	3	6.7%	20.8%	.176	.302	.264	.318	.440	.326	105	-0.5	1.3	-0.9	1.1
19	Amed Rosario	TBR	93	380	6	47	40	10	4.8%	18.1%	.123	.315	.269	.308	.392	.303	90	0.2	-4.5	0.7	0.9
20	José Caballero	TBR	77	274	5	34	25	21	10.5%	23.1%	.120	.284	.226	.328	.346	.303	89	0.6	-2.9	2.4	0.9
21	Javier Báez	DET	130	534	14	60	60	11	4.7%	24.8%	.141	.296	.239	.284	.380	.288	80	0.2	-12.5	3.0	0.9
22	Darell Hernaiz	OAK	73	299	4	31	27	7	6.1%	17.4%	.105	.290	.248	.299	.353	.286	84	-0.2	-6.1	3.2	0.7
23	Isiah Kiner-Falefa	TOR	94	363	4	40	32	14	6.5%	16.5%	.085	.299	.256	.311	.341	.289	83	0.2	-7.3	2.0	0.7
24	Jorge Mateo	BAL	64	233	5	31	22	17	5.6%	25.2%	.139	.294	.232	.281	.372	.283	80	1.4	-4.3	2.9	0.7
25	Kyle Farmer	MIN	73	276	6	31	31	2	5.6%	20.6%	.129	.291	.245	.303	.374	.297	88	-0.6	-4.6	1.7	0.6
26	Ezequiel Duran	TEX	75	285	9	35	32	6	5.5%	26.1%	.166	.318	.253	.302	.419	.310	93	-0.8	-3.1	-0.6	0.6
27	Gabriel Arias	CLE	74	267	7	29	27	3	7.5%	28.9%	.145	.306	.231	.296	.377	.294	87	-0.5	-4.7	1.5	0.6
28	Colson Montgomery	CHW	49	201	5	22	20	1	10.1%	23.6%	.132	.289	.231	.323	.363	.303	90	-0.4	-2.9	2.0	0.6
29	Nick Allen	OAK	86	316	4	30	22	7	6.3%	17.1%	.091	.272	.232	.285	.323	.269	72	0.0	-10.6	5.6	0.6
30	Nicky Lopez	CHW	110	407	2	44	28	11	8.2%	15.0%	.067	.286	.242	.313	.309	.280	74	0.6	-12.2	3.7	0.5

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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
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.

ATL	CHC*	ARI
MIA	CIN	COL
WSN	MIL	LAD
NYM*	PIT	SDP*
PHI	STL	SFG