2024 Projections

#	Name	Team	G	PA	HR	R	RBI	SB	BB%	K%	ISO	BABIP	AVG	OBP	SLG	wOBA	wRC+	BsR	Off	Def	WAR
1	Ronald Acuña Jr.	ATL	147	659	35	119	92	51	11.7%	15.8%	.251	.328	.311	.401	.563	.408	157	4.9	51.6	-6.6	6.7
2	Mookie Betts	LAD	149	662	33	111	94	13	12.2%	15.7%	.244	.294	.283	.378	.527	.385	146	0.6	37.4	1.9	6.2
3	Aaron Judge	NYY	138	602	43	100	106	6	15.9%	26.9%	.306	.315	.275	.393	.581	.406	160	-0.8	43.1	-3.5	6.0
4	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
5	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
6	Julio Rodríguez	SEA	151	662	31	99	91	32	7.7%	23.6%	.222	.328	.279	.344	.501	.359	134	2.1	29.0	2.1	5.3
7	Fernando Tatis Jr.	SDP	147	647	33	98	93	28	9.5%	22.6%	.238	.308	.272	.346	.510	.363	131	2.2	26.5	-0.6	4.8
8	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
9	Kyle Tucker	HOU	151	646	31	95	103	26	10.8%	14.9%	.235	.287	.280	.360	.515	.370	138	1.8	31.2	-6.9	4.6
10	Mike Trout	LAA	126	547	33	83	83	3	12.7%	27.9%	.269	.319	.264	.367	.533	.380	143	-0.7	27.2	-3.9	4.2
11	Bryce Harper	PHI	146	631	29	94	91	13	14.1%	21.4%	.233	.325	.282	.388	.515	.383	141	-1.8	30.4	-11.6	4.0
12	Michael Harris II	ATL	146	597	22	88	78	24	5.6%	20.1%	.193	.331	.287	.334	.480	.347	116	1.6	13.8	5.8	4.0
13	Luis Robert Jr.	CHW	144	603	30	84	85	19	5.5%	25.8%	.222	.317	.267	.316	.489	.341	116	0.6	12.0	1.9	3.4
14	Brandon Nimmo	NYM	145	640	19	86	65	4	11.3%	20.1%	.171	.315	.266	.361	.437	.349	121	-1.5	14.6	-3.3	3.3
15	Jung Hoo Lee	SFG	135	587	10	71	60	9	8.5%	9.2%	.138	.302	.286	.352	.423	.337	113	-1.5	7.6	1.8	2.9
16	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
17	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
18	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
19	George Springer	TOR	134	588	22	82	69	14	9.3%	18.7%	.177	.287	.258	.334	.435	.333	113	-0.1	9.3	-4.1	2.5
20	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
21	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
22	Seiya Suzuki	CHC	136	586	22	79	74	9	10.5%	22.3%	.196	.321	.271	.351	.468	.351	122	-1.8	14.1	-9.5	2.4
23	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
24	Cody Bellinger	CHC	138	583	23	81	81	17	8.0%	19.8%	.190	.290	.261	.322	.451	.330	108	0.6	6.4	-2.3	2.4
25	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
26	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
27	Jazz Chisholm Jr.	MIA	131	544	25	78	73	28	7.8%	28.7%	.210	.306	.246	.310	.456	.328	104	1.2	4.1	0.3	2.3
28	Cedric Mullins	BAL	135	565	18	73	64	26	8.1%	20.3%	.171	.281	.245	.312	.416	.315	101	1.5	2.5	1.2	2.3
29	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
30	Byron Buxton	MIN	107	452	25	67	63	10	8.6%	30.0%	.252	.279	.232	.307	.484	.335	115	0.7	8.6	-1.5	2.2

#	Name	Team	G	PA	HR	R	RBI	SB	BB%	K%	ISO	BABIP	AVG	OBP	SLG	wOBA	wRC+	BsR	Off	Def	WAR
1	Ronald Acuña Jr.	ATL	147	659	35	119	92	51	11.7%	15.8%	.251	.328	.311	.401	.563	.408	157	4.9	51.6	-6.6	6.7
2	Mookie Betts	LAD	149	662	33	111	94	13	12.2%	15.7%	.244	.294	.283	.378	.527	.385	146	0.6	37.4	1.9	6.2
3	Aaron Judge	NYY	138	602	43	100	106	6	15.9%	26.9%	.306	.315	.275	.393	.581	.406	160	-0.8	43.1	-3.5	6.0
4	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
5	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
6	Julio Rodríguez	SEA	151	662	31	99	91	32	7.7%	23.6%	.222	.328	.279	.344	.501	.359	134	2.1	29.0	2.1	5.3
7	Fernando Tatis Jr.	SDP	147	647	33	98	93	28	9.5%	22.6%	.238	.308	.272	.346	.510	.363	131	2.2	26.5	-0.6	4.8
8	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
9	Kyle Tucker	HOU	151	646	31	95	103	26	10.8%	14.9%	.235	.287	.280	.360	.515	.370	138	1.8	31.2	-6.9	4.6
10	Mike Trout	LAA	126	547	33	83	83	3	12.7%	27.9%	.269	.319	.264	.367	.533	.380	143	-0.7	27.2	-3.9	4.2
11	Bryce Harper	PHI	146	631	29	94	91	13	14.1%	21.4%	.233	.325	.282	.388	.515	.383	141	-1.8	30.4	-11.6	4.0
12	Michael Harris II	ATL	146	597	22	88	78	24	5.6%	20.1%	.193	.331	.287	.334	.480	.347	116	1.6	13.8	5.8	4.0
13	Luis Robert Jr.	CHW	144	603	30	84	85	19	5.5%	25.8%	.222	.317	.267	.316	.489	.341	116	0.6	12.0	1.9	3.4
14	Brandon Nimmo	NYM	145	640	19	86	65	4	11.3%	20.1%	.171	.315	.266	.361	.437	.349	121	-1.5	14.6	-3.3	3.3
15	Jung Hoo Lee	SFG	135	587	10	71	60	9	8.5%	9.2%	.138	.302	.286	.352	.423	.337	113	-1.5	7.6	1.8	2.9
16	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
17	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
18	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
19	George Springer	TOR	134	588	22	82	69	14	9.3%	18.7%	.177	.287	.258	.334	.435	.333	113	-0.1	9.3	-4.1	2.5
20	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
21	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
22	Seiya Suzuki	CHC	136	586	22	79	74	9	10.5%	22.3%	.196	.321	.271	.351	.468	.351	122	-1.8	14.1	-9.5	2.4
23	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
24	Cody Bellinger	CHC	138	583	23	81	81	17	8.0%	19.8%	.190	.290	.261	.322	.451	.330	108	0.6	6.4	-2.3	2.4
25	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
26	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
27	Jazz Chisholm Jr.	MIA	131	544	25	78	73	28	7.8%	28.7%	.210	.306	.246	.310	.456	.328	104	1.2	4.1	0.3	2.3
28	Cedric Mullins	BAL	135	565	18	73	64	26	8.1%	20.3%	.171	.281	.245	.312	.416	.315	101	1.5	2.5	1.2	2.3
29	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
30	Byron Buxton	MIN	107	452	25	67	63	10	8.6%	30.0%	.252	.279	.232	.307	.484	.335	115	0.7	8.6	-1.5	2.2

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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.