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	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	Adley Rutschman	BAL	144	603	18	78	69	2	12.7%	15.8%	.171	.296	.269	.367	.440	.351	126	-0.6	18.5	10.1	4.9
4	Shohei Ohtani	LAD	139	609	38	101	98	19	14.0%	24.2%	.290	.319	.280	.384	.570	.398	154	-0.1	40.3	-15.5	4.5
5	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
6	Royce Lewis	MIN	132	560	26	77	82	13	8.2%	22.4%	.217	.308	.269	.335	.486	.351	125	-0.5	16.5	1.9	3.7
7	Manny Machado	SDP	142	612	29	81	93	6	9.1%	18.5%	.213	.287	.268	.336	.481	.347	119	-1.2	13.2	-0.4	3.3
8	Willson Contreras	STL	120	485	21	62	64	5	9.9%	22.9%	.203	.296	.254	.348	.457	.348	121	-1.6	10.5	5.0	3.2
9	Yainer Diaz	HOU	118	453	21	57	68	1	4.4%	19.3%	.206	.294	.271	.308	.477	.333	113	-1.3	5.8	5.5	2.7
10	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
11	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
12	Vinnie Pasquantino	KCR	132	562	20	68	73	1	10.4%	12.7%	.192	.281	.273	.353	.464	.351	123	-1.9	13.6	-11.6	2.1
13	Rhys Hoskins	MIL	137	585	27	75	79	2	11.9%	25.0%	.220	.275	.236	.334	.456	.341	113	-2.0	7.7	-11.4	1.6
14	Christopher Morel	TBR	128	532	26	71	74	10	8.5%	30.6%	.221	.306	.240	.309	.461	.329	108	0.0	5.0	-8.2	1.5
15	Jorge Soler	ATL	131	557	29	71	76	1	11.1%	25.2%	.225	.275	.240	.332	.466	.341	116	-1.7	9.1	-13.6	1.4
16	Mitch Garver	SEA	114	463	22	57	62	1	11.5%	25.6%	.206	.276	.235	.329	.441	.334	117	-1.2	7.9	-9.7	1.4
17	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
18	Marcell Ozuna	ATL	129	539	29	71	81	1	8.8%	23.1%	.229	.282	.255	.323	.484	.344	114	-1.3	8.3	-13.3	1.3
19	Justin Turner	SEA	117	500	15	59	64	3	8.4%	17.9%	.155	.285	.255	.327	.409	.321	105	-2.3	0.6	-5.4	1.2
20	Eloy Jiménez	BAL	122	511	22	58	71	0	7.0%	20.4%	.190	.306	.272	.327	.462	.338	113	-1.1	7.2	-12.7	1.2
21	Kerry Carpenter	DET	128	534	23	66	72	5	7.1%	24.6%	.199	.305	.257	.319	.456	.331	110	-1.3	5.2	-12.1	1.1
22	Brent Rooker	OAK	128	522	24	60	67	4	9.3%	32.8%	.209	.298	.227	.311	.435	.322	109	-0.8	4.6	-11.8	1.0
23	Wilmer Flores	SFG	96	386	14	46	49	0	9.0%	14.9%	.181	.266	.255	.330	.436	.331	109	-1.5	2.7	-6.0	1.0
24	Joc Pederson	ARI	109	426	18	55	58	1	10.9%	22.0%	.205	.286	.251	.343	.456	.343	115	-0.9	6.9	-11.8	1.0
25	Nelson Velázquez	KCR	104	405	23	50	54	6	8.0%	30.2%	.243	.282	.234	.303	.478	.331	109	-0.3	4.0	-8.7	0.9
26	Josh Bell	ARI	143	604	21	69	73	0	10.9%	19.6%	.170	.287	.253	.338	.423	.331	106	-2.7	2.1	-14.7	0.8
27	Brandon Belt		71	306	13	38	37	1	13.3%	31.3%	.207	.301	.228	.338	.436	.336	112	-1.0	3.5	-6.9	0.7
28	Ryan O'Hearn	BAL	102	380	15	45	53	3	6.0%	23.7%	.181	.306	.259	.308	.440	.320	105	-1.0	1.3	-7.9	0.6
29	J.D. Martinez	NYM	117	491	22	59	71	1	8.4%	28.1%	.206	.308	.249	.315	.455	.329	107	-2.3	1.9	-12.6	0.6
30	Giancarlo Stanton	NYY	110	462	27	56	72	0	10.2%	29.2%	.236	.262	.227	.310	.462	.329	108	-2.3	2.1	-12.4	0.5

#	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	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	Adley Rutschman	BAL	144	603	18	78	69	2	12.7%	15.8%	.171	.296	.269	.367	.440	.351	126	-0.6	18.5	10.1	4.9
4	Shohei Ohtani	LAD	139	609	38	101	98	19	14.0%	24.2%	.290	.319	.280	.384	.570	.398	154	-0.1	40.3	-15.5	4.5
5	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
6	Royce Lewis	MIN	132	560	26	77	82	13	8.2%	22.4%	.217	.308	.269	.335	.486	.351	125	-0.5	16.5	1.9	3.7
7	Manny Machado	SDP	142	612	29	81	93	6	9.1%	18.5%	.213	.287	.268	.336	.481	.347	119	-1.2	13.2	-0.4	3.3
8	Willson Contreras	STL	120	485	21	62	64	5	9.9%	22.9%	.203	.296	.254	.348	.457	.348	121	-1.6	10.5	5.0	3.2
9	Yainer Diaz	HOU	118	453	21	57	68	1	4.4%	19.3%	.206	.294	.271	.308	.477	.333	113	-1.3	5.8	5.5	2.7
10	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
11	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
12	Vinnie Pasquantino	KCR	132	562	20	68	73	1	10.4%	12.7%	.192	.281	.273	.353	.464	.351	123	-1.9	13.6	-11.6	2.1
13	Rhys Hoskins	MIL	137	585	27	75	79	2	11.9%	25.0%	.220	.275	.236	.334	.456	.341	113	-2.0	7.7	-11.4	1.6
14	Christopher Morel	TBR	128	532	26	71	74	10	8.5%	30.6%	.221	.306	.240	.309	.461	.329	108	0.0	5.0	-8.2	1.5
15	Jorge Soler	ATL	131	557	29	71	76	1	11.1%	25.2%	.225	.275	.240	.332	.466	.341	116	-1.7	9.1	-13.6	1.4
16	Mitch Garver	SEA	114	463	22	57	62	1	11.5%	25.6%	.206	.276	.235	.329	.441	.334	117	-1.2	7.9	-9.7	1.4
17	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
18	Marcell Ozuna	ATL	129	539	29	71	81	1	8.8%	23.1%	.229	.282	.255	.323	.484	.344	114	-1.3	8.3	-13.3	1.3
19	Justin Turner	SEA	117	500	15	59	64	3	8.4%	17.9%	.155	.285	.255	.327	.409	.321	105	-2.3	0.6	-5.4	1.2
20	Eloy Jiménez	BAL	122	511	22	58	71	0	7.0%	20.4%	.190	.306	.272	.327	.462	.338	113	-1.1	7.2	-12.7	1.2
21	Kerry Carpenter	DET	128	534	23	66	72	5	7.1%	24.6%	.199	.305	.257	.319	.456	.331	110	-1.3	5.2	-12.1	1.1
22	Brent Rooker	OAK	128	522	24	60	67	4	9.3%	32.8%	.209	.298	.227	.311	.435	.322	109	-0.8	4.6	-11.8	1.0
23	Wilmer Flores	SFG	96	386	14	46	49	0	9.0%	14.9%	.181	.266	.255	.330	.436	.331	109	-1.5	2.7	-6.0	1.0
24	Joc Pederson	ARI	109	426	18	55	58	1	10.9%	22.0%	.205	.286	.251	.343	.456	.343	115	-0.9	6.9	-11.8	1.0
25	Nelson Velázquez	KCR	104	405	23	50	54	6	8.0%	30.2%	.243	.282	.234	.303	.478	.331	109	-0.3	4.0	-8.7	0.9
26	Josh Bell	ARI	143	604	21	69	73	0	10.9%	19.6%	.170	.287	.253	.338	.423	.331	106	-2.7	2.1	-14.7	0.8
27	Brandon Belt		71	306	13	38	37	1	13.3%	31.3%	.207	.301	.228	.338	.436	.336	112	-1.0	3.5	-6.9	0.7
28	Ryan O'Hearn	BAL	102	380	15	45	53	3	6.0%	23.7%	.181	.306	.259	.308	.440	.320	105	-1.0	1.3	-7.9	0.6
29	J.D. Martinez	NYM	117	491	22	59	71	1	8.4%	28.1%	.206	.308	.249	.315	.455	.329	107	-2.3	1.9	-12.6	0.6
30	Giancarlo Stanton	NYY	110	462	27	56	72	0	10.2%	29.2%	.236	.262	.227	.310	.462	.329	108	-2.3	2.1	-12.4	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.