2024 Projections

#	Name	Team	G	PA	HR	R	RBI	SB	BB%	K%	ISO	BABIP	AVG	OBP	SLG	wOBA	wRC+	BsR	Off	Def	WAR
1	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
2	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
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	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
5	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
6	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
7	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
8	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
9	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
10	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
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	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
13	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
14	James Outman	LAD	131	523	19	72	64	12	10.6%	31.8%	.181	.318	.232	.326	.413	.322	103	0.2	2.0	2.5	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	Lars Nootbaar	STL	110	461	16	64	51	9	13.2%	20.2%	.179	.291	.253	.354	.432	.342	116	-0.2	9.0	-4.8	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	Sal Frelick	MIL	133	549	8	68	52	17	8.9%	14.5%	.118	.300	.265	.336	.383	.316	97	0.1	-2.0	2.0	1.9
19	Jack Suwinski	PIT	128	518	24	65	68	10	12.5%	30.9%	.217	.290	.226	.330	.443	.334	107	-0.3	4.5	-5.2	1.7
20	Alek Thomas	ARI	125	481	10	59	52	10	6.2%	19.7%	.144	.305	.258	.309	.403	.308	91	0.2	-5.1	5.2	1.6
21	Tommy Edman	STL	102	418	9	56	41	21	6.6%	16.3%	.142	.293	.260	.316	.402	.312	96	2.0	-0.2	2.0	1.6
22	Leody Taveras	TEX	124	490	12	59	53	15	7.0%	22.7%	.144	.309	.253	.307	.397	.305	90	0.7	-5.0	3.4	1.5
23	Trent Grisham	NYY	94	367	13	47	41	9	11.7%	27.2%	.183	.275	.221	.320	.403	.317	99	0.5	0.1	2.1	1.5
24	Jose Siri	TBR	120	462	20	60	57	19	6.1%	34.3%	.197	.299	.223	.276	.420	.298	86	1.4	-6.2	4.8	1.4
25	Harrison Bader	NYM	107	413	11	50	44	21	6.1%	19.4%	.143	.279	.243	.297	.386	.296	85	1.2	-6.2	5.6	1.3
26	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
27	Parker Meadows	DET	124	520	13	62	50	16	8.5%	24.4%	.151	.284	.230	.300	.380	.296	86	0.4	-8.3	3.5	1.3
28	TJ Friedl	CIN	97	402	11	53	43	16	8.6%	16.9%	.159	.282	.253	.329	.412	.323	96	0.7	-1.2	0.3	1.3
29	Kevin Kiermaier	TOR	105	405	7	50	38	11	7.3%	23.2%	.130	.304	.242	.303	.372	.295	87	0.0	-6.4	5.1	1.2
30	Kyle Isbel	KCR	116	432	10	54	45	12	6.8%	20.9%	.150	.288	.242	.300	.393	.300	88	0.5	-6.0	3.1	1.2

#	Name	Team	G	PA	HR	R	RBI	SB	BB%	K%	ISO	BABIP	AVG	OBP	SLG	wOBA	wRC+	BsR	Off	Def	WAR
1	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
2	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
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	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
5	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
6	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
7	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
8	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
9	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
10	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
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	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
13	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
14	James Outman	LAD	131	523	19	72	64	12	10.6%	31.8%	.181	.318	.232	.326	.413	.322	103	0.2	2.0	2.5	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	Lars Nootbaar	STL	110	461	16	64	51	9	13.2%	20.2%	.179	.291	.253	.354	.432	.342	116	-0.2	9.0	-4.8	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	Sal Frelick	MIL	133	549	8	68	52	17	8.9%	14.5%	.118	.300	.265	.336	.383	.316	97	0.1	-2.0	2.0	1.9
19	Jack Suwinski	PIT	128	518	24	65	68	10	12.5%	30.9%	.217	.290	.226	.330	.443	.334	107	-0.3	4.5	-5.2	1.7
20	Alek Thomas	ARI	125	481	10	59	52	10	6.2%	19.7%	.144	.305	.258	.309	.403	.308	91	0.2	-5.1	5.2	1.6
21	Tommy Edman	STL	102	418	9	56	41	21	6.6%	16.3%	.142	.293	.260	.316	.402	.312	96	2.0	-0.2	2.0	1.6
22	Leody Taveras	TEX	124	490	12	59	53	15	7.0%	22.7%	.144	.309	.253	.307	.397	.305	90	0.7	-5.0	3.4	1.5
23	Trent Grisham	NYY	94	367	13	47	41	9	11.7%	27.2%	.183	.275	.221	.320	.403	.317	99	0.5	0.1	2.1	1.5
24	Jose Siri	TBR	120	462	20	60	57	19	6.1%	34.3%	.197	.299	.223	.276	.420	.298	86	1.4	-6.2	4.8	1.4
25	Harrison Bader	NYM	107	413	11	50	44	21	6.1%	19.4%	.143	.279	.243	.297	.386	.296	85	1.2	-6.2	5.6	1.3
26	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
27	Parker Meadows	DET	124	520	13	62	50	16	8.5%	24.4%	.151	.284	.230	.300	.380	.296	86	0.4	-8.3	3.5	1.3
28	TJ Friedl	CIN	97	402	11	53	43	16	8.6%	16.9%	.159	.282	.253	.329	.412	.323	96	0.7	-1.2	0.3	1.3
29	Kevin Kiermaier	TOR	105	405	7	50	38	11	7.3%	23.2%	.130	.304	.242	.303	.372	.295	87	0.0	-6.4	5.1	1.2
30	Kyle Isbel	KCR	116	432	10	54	45	12	6.8%	20.9%	.150	.288	.242	.300	.393	.300	88	0.5	-6.0	3.1	1.2

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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.