2024 Projections

#	Name	Team	G	PA	HR	R	RBI	SB	BB%	K%	ISO	BABIP	AVG	OBP	SLG	wOBA	wRC+	BsR	Off	Def	WAR
1	Juan Soto	NYY	153	665	37	105	100	11	19.1%	16.6%	.265	.287	.279	.419	.543	.408	161	-2.1	47.6	-10.1	6.0
2	Yordan Alvarez	HOU	137	594	38	95	105	1	13.1%	19.5%	.296	.312	.295	.396	.591	.413	168	-1.5	46.9	-12.9	5.4
3	Corbin Carroll	ARI	148	631	23	101	76	45	9.5%	20.7%	.210	.323	.277	.357	.486	.362	127	4.3	25.7	0.1	4.7
4	Bryan Reynolds	PIT	148	643	24	86	81	10	9.4%	21.4%	.194	.310	.267	.345	.461	.346	116	-0.7	11.9	-6.3	2.7
5	Randy Arozarena	TBR	148	636	25	87	80	25	10.4%	24.2%	.195	.311	.258	.349	.453	.347	120	-0.7	14.6	-9.6	2.7
6	Riley Greene	DET	136	588	17	77	64	10	8.7%	26.4%	.165	.357	.275	.342	.440	.338	115	-0.2	10.5	-4.4	2.6
7	Ian Happ	CHC	143	613	20	77	72	11	12.0%	23.4%	.175	.302	.248	.344	.423	.334	111	-0.4	7.9	-3.7	2.5
8	Christian Yelich	MIL	143	620	17	89	68	22	12.8%	22.9%	.158	.324	.261	.361	.419	.340	113	1.7	11.8	-8.3	2.5
9	Evan Carter	TEX	136	561	16	72	64	18	11.9%	25.3%	.167	.323	.253	.349	.420	.335	111	-0.8	6.5	-1.4	2.4
10	Nolan Jones	COL	142	586	24	81	78	19	11.7%	28.8%	.210	.352	.267	.359	.478	.359	111	-0.4	7.5	-3.8	2.4
11	Chas McCormick	HOU	131	525	20	67	68	16	9.2%	26.0%	.178	.312	.253	.330	.431	.330	111	-0.8	5.8	-0.6	2.3
12	Taylor Ward	LAA	130	552	20	75	70	6	10.1%	20.8%	.187	.304	.264	.347	.451	.345	118	-0.9	11.2	-7.4	2.2
13	Steven Kwan	CLE	140	616	5	79	51	17	9.5%	10.2%	.098	.301	.275	.348	.373	.318	104	0.4	3.3	-1.8	2.2
14	Kyle Schwarber	PHI	147	644	40	94	95	3	15.2%	29.3%	.264	.252	.220	.345	.484	.355	123	-1.9	16.1	-16.2	2.2
15	Daulton Varsho	TOR	138	555	22	70	68	16	8.1%	23.3%	.191	.266	.232	.300	.423	.311	98	0.7	-0.4	2.5	2.1
16	Davis Schneider	TOR	98	400	16	50	49	5	11.9%	28.1%	.204	.289	.230	.330	.434	.332	112	-0.7	5.3	0.8	2.0
17	Brandon Marsh	PHI	126	492	13	58	54	12	10.3%	30.7%	.163	.356	.254	.336	.417	.327	104	0.4	2.8	-0.6	1.9
18	Tyler O'Neill	BOS	121	492	21	67	64	12	9.3%	27.1%	.202	.308	.250	.327	.452	.336	107	0.2	4.6	-4.9	1.6
19	Wyatt Langford	TEX	127	548	19	69	69	15	10.0%	21.9%	.186	.303	.258	.339	.444	.338	113	-0.5	8.2	-10.4	1.6
20	Spencer Steer	CIN	137	582	20	71	74	10	9.4%	21.5%	.183	.298	.255	.335	.438	.335	105	-0.8	2.6	-6.4	1.6
21	Brendan Donovan	STL	120	498	10	64	49	6	9.9%	15.2%	.125	.308	.272	.359	.397	.334	111	-0.6	6.0	-8.4	1.4
22	Masataka Yoshida	BOS	135	568	16	70	71	6	8.1%	13.1%	.158	.310	.289	.353	.447	.346	115	-1.7	8.2	-13.7	1.4
23	Lourdes Gurriel Jr.	ARI	130	545	17	65	71	5	6.1%	17.7%	.168	.311	.276	.325	.445	.331	107	-1.6	2.9	-7.7	1.4
24	Austin Hays	BAL	125	519	16	62	61	4	6.5%	22.4%	.164	.302	.253	.308	.417	.313	100	-1.0	-0.7	-3.6	1.3
25	Jarren Duran	BOS	128	521	13	70	54	28	7.1%	25.4%	.164	.334	.261	.320	.425	.322	98	1.5	0.2	-4.7	1.3
26	Matt Wallner	MIN	110	439	17	55	56	3	11.0%	33.1%	.197	.321	.230	.332	.426	.329	111	-0.7	4.9	-6.9	1.3
27	Mark Canha	DET	125	507	12	58	55	7	10.2%	17.3%	.141	.292	.255	.351	.395	.330	110	-1.1	4.8	-9.7	1.2
28	MJ Melendez	KCR	133	559	20	70	65	5	11.0%	26.0%	.194	.300	.243	.329	.437	.330	108	-1.5	4.3	-11.7	1.2
29	Chris Taylor	LAD	102	396	13	50	48	11	10.1%	31.9%	.171	.318	.230	.315	.401	.312	96	0.3	-1.8	-0.3	1.1
30	Bryan De La Cruz	MIA	137	552	19	62	67	4	6.6%	22.8%	.172	.314	.265	.315	.437	.323	101	-1.2	-0.4	-7.6	1.1

#	Name	Team	G	PA	HR	R	RBI	SB	BB%	K%	ISO	BABIP	AVG	OBP	SLG	wOBA	wRC+	BsR	Off	Def	WAR
1	Juan Soto	NYY	153	665	37	105	100	11	19.1%	16.6%	.265	.287	.279	.419	.543	.408	161	-2.1	47.6	-10.1	6.0
2	Yordan Alvarez	HOU	137	594	38	95	105	1	13.1%	19.5%	.296	.312	.295	.396	.591	.413	168	-1.5	46.9	-12.9	5.4
3	Corbin Carroll	ARI	148	631	23	101	76	45	9.5%	20.7%	.210	.323	.277	.357	.486	.362	127	4.3	25.7	0.1	4.7
4	Bryan Reynolds	PIT	148	643	24	86	81	10	9.4%	21.4%	.194	.310	.267	.345	.461	.346	116	-0.7	11.9	-6.3	2.7
5	Randy Arozarena	TBR	148	636	25	87	80	25	10.4%	24.2%	.195	.311	.258	.349	.453	.347	120	-0.7	14.6	-9.6	2.7
6	Riley Greene	DET	136	588	17	77	64	10	8.7%	26.4%	.165	.357	.275	.342	.440	.338	115	-0.2	10.5	-4.4	2.6
7	Ian Happ	CHC	143	613	20	77	72	11	12.0%	23.4%	.175	.302	.248	.344	.423	.334	111	-0.4	7.9	-3.7	2.5
8	Christian Yelich	MIL	143	620	17	89	68	22	12.8%	22.9%	.158	.324	.261	.361	.419	.340	113	1.7	11.8	-8.3	2.5
9	Evan Carter	TEX	136	561	16	72	64	18	11.9%	25.3%	.167	.323	.253	.349	.420	.335	111	-0.8	6.5	-1.4	2.4
10	Nolan Jones	COL	142	586	24	81	78	19	11.7%	28.8%	.210	.352	.267	.359	.478	.359	111	-0.4	7.5	-3.8	2.4
11	Chas McCormick	HOU	131	525	20	67	68	16	9.2%	26.0%	.178	.312	.253	.330	.431	.330	111	-0.8	5.8	-0.6	2.3
12	Taylor Ward	LAA	130	552	20	75	70	6	10.1%	20.8%	.187	.304	.264	.347	.451	.345	118	-0.9	11.2	-7.4	2.2
13	Steven Kwan	CLE	140	616	5	79	51	17	9.5%	10.2%	.098	.301	.275	.348	.373	.318	104	0.4	3.3	-1.8	2.2
14	Kyle Schwarber	PHI	147	644	40	94	95	3	15.2%	29.3%	.264	.252	.220	.345	.484	.355	123	-1.9	16.1	-16.2	2.2
15	Daulton Varsho	TOR	138	555	22	70	68	16	8.1%	23.3%	.191	.266	.232	.300	.423	.311	98	0.7	-0.4	2.5	2.1
16	Davis Schneider	TOR	98	400	16	50	49	5	11.9%	28.1%	.204	.289	.230	.330	.434	.332	112	-0.7	5.3	0.8	2.0
17	Brandon Marsh	PHI	126	492	13	58	54	12	10.3%	30.7%	.163	.356	.254	.336	.417	.327	104	0.4	2.8	-0.6	1.9
18	Tyler O'Neill	BOS	121	492	21	67	64	12	9.3%	27.1%	.202	.308	.250	.327	.452	.336	107	0.2	4.6	-4.9	1.6
19	Wyatt Langford	TEX	127	548	19	69	69	15	10.0%	21.9%	.186	.303	.258	.339	.444	.338	113	-0.5	8.2	-10.4	1.6
20	Spencer Steer	CIN	137	582	20	71	74	10	9.4%	21.5%	.183	.298	.255	.335	.438	.335	105	-0.8	2.6	-6.4	1.6
21	Brendan Donovan	STL	120	498	10	64	49	6	9.9%	15.2%	.125	.308	.272	.359	.397	.334	111	-0.6	6.0	-8.4	1.4
22	Masataka Yoshida	BOS	135	568	16	70	71	6	8.1%	13.1%	.158	.310	.289	.353	.447	.346	115	-1.7	8.2	-13.7	1.4
23	Lourdes Gurriel Jr.	ARI	130	545	17	65	71	5	6.1%	17.7%	.168	.311	.276	.325	.445	.331	107	-1.6	2.9	-7.7	1.4
24	Austin Hays	BAL	125	519	16	62	61	4	6.5%	22.4%	.164	.302	.253	.308	.417	.313	100	-1.0	-0.7	-3.6	1.3
25	Jarren Duran	BOS	128	521	13	70	54	28	7.1%	25.4%	.164	.334	.261	.320	.425	.322	98	1.5	0.2	-4.7	1.3
26	Matt Wallner	MIN	110	439	17	55	56	3	11.0%	33.1%	.197	.321	.230	.332	.426	.329	111	-0.7	4.9	-6.9	1.3
27	Mark Canha	DET	125	507	12	58	55	7	10.2%	17.3%	.141	.292	.255	.351	.395	.330	110	-1.1	4.8	-9.7	1.2
28	MJ Melendez	KCR	133	559	20	70	65	5	11.0%	26.0%	.194	.300	.243	.329	.437	.330	108	-1.5	4.3	-11.7	1.2
29	Chris Taylor	LAD	102	396	13	50	48	11	10.1%	31.9%	.171	.318	.230	.315	.401	.312	96	0.3	-1.8	-0.3	1.1
30	Bryan De La Cruz	MIA	137	552	19	62	67	4	6.6%	22.8%	.172	.314	.265	.315	.437	.323	101	-1.2	-0.4	-7.6	1.1

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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.