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	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
3	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
4	Adolis García	TEX	146	626	31	88	93	13	7.9%	28.4%	.223	.289	.241	.307	.464	.328	106	0.1	4.7	-3.5	2.2
5	Anthony Santander	BAL	142	612	28	76	87	3	7.8%	21.6%	.211	.272	.246	.314	.457	.330	112	-0.9	7.9	-9.7	1.9
6	Max Kepler	MIN	126	518	20	67	65	3	10.0%	19.7%	.192	.270	.244	.326	.436	.329	111	-0.9	5.7	-4.4	1.9
7	Josh Lowe	TBR	109	442	14	56	55	21	7.8%	27.1%	.177	.328	.256	.317	.433	.322	103	1.4	2.8	-3.5	1.4
8	Alex Verdugo	NYY	124	527	13	65	56	4	7.6%	15.4%	.147	.293	.265	.324	.412	.319	101	-0.6	-0.3	-4.3	1.3
9	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
10	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
11	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
12	Ramón Laureano	CLE	111	465	14	56	50	13	7.9%	26.9%	.162	.296	.231	.309	.393	.307	96	-0.1	-2.2	-3.4	1.0
13	Seth Brown	OAK	119	463	20	52	62	6	8.2%	27.0%	.201	.277	.230	.297	.432	.312	102	-1.0	0.1	-6.4	0.9
14	Luke Raley	SEA	98	390	16	48	47	10	7.2%	31.5%	.185	.304	.230	.308	.415	.314	103	0.0	1.3	-5.4	0.9
15	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
16	Matt Vierling	DET	95	378	8	44	35	6	7.8%	20.6%	.131	.309	.256	.320	.387	.309	95	-0.4	-2.8	-1.7	0.8
17	Mitch Haniger	SEA	113	468	19	55	59	1	7.9%	26.1%	.188	.278	.233	.301	.422	.311	101	-1.1	-0.5	-7.7	0.8
18	Brian Anderson	SEA	56	208	6	23	22	1	9.7%	27.7%	.144	.291	.223	.310	.367	.299	92	-0.4	-2.3	2.9	0.8
19	Wilyer Abreu	BOS	85	339	11	44	40	8	11.6%	26.2%	.166	.304	.239	.331	.405	.322	98	-0.7	-1.4	-2.6	0.7
20	Hunter Renfroe	KCR	116	479	20	56	61	1	7.8%	22.0%	.192	.274	.242	.305	.434	.318	100	-1.4	-1.6	-8.0	0.7
21	Will Brennan	CLE	89	346	5	36	36	9	5.4%	13.5%	.106	.303	.271	.317	.377	.302	93	-0.3	-3.3	-1.9	0.7
22	Manuel Margot	MIN	87	339	6	39	37	9	6.5%	16.6%	.120	.300	.260	.312	.380	.302	92	0.0	-3.4	-2.4	0.6
23	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
24	Colton Cowser	BAL	86	329	8	41	33	5	11.2%	29.7%	.133	.323	.233	.330	.366	.309	97	-0.5	-1.5	-4.7	0.5
25	Dairon Blanco	KCR	48	145	2	19	14	16	6.7%	24.5%	.125	.330	.255	.316	.380	.305	91	0.8	-0.8	0.6	0.5
26	Lawrence Butler	OAK	98	378	11	40	40	8	7.0%	26.2%	.153	.289	.232	.288	.385	.291	88	-0.3	-5.9	-2.7	0.4
27	Drew Waters	KCR	46	175	5	21	17	7	8.2%	30.8%	.160	.327	.238	.306	.398	.306	92	0.1	-1.7	-0.4	0.4
28	Jonny DeLuca	TBR	44	157	5	18	18	3	7.4%	21.2%	.173	.263	.230	.295	.403	.302	89	-0.1	-2.2	-0.9	0.2
29	Trevor Larnach	MIN	46	177	6	21	21	1	10.8%	32.5%	.174	.312	.225	.315	.399	.311	98	-0.4	-0.9	-3.1	0.2
30	Dominic Fletcher	CHW	102	407	8	44	39	4	7.0%	23.8%	.126	.298	.237	.298	.363	.289	80	-1.0	-10.9	-0.9	0.2

#	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	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
3	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
4	Adolis García	TEX	146	626	31	88	93	13	7.9%	28.4%	.223	.289	.241	.307	.464	.328	106	0.1	4.7	-3.5	2.2
5	Anthony Santander	BAL	142	612	28	76	87	3	7.8%	21.6%	.211	.272	.246	.314	.457	.330	112	-0.9	7.9	-9.7	1.9
6	Max Kepler	MIN	126	518	20	67	65	3	10.0%	19.7%	.192	.270	.244	.326	.436	.329	111	-0.9	5.7	-4.4	1.9
7	Josh Lowe	TBR	109	442	14	56	55	21	7.8%	27.1%	.177	.328	.256	.317	.433	.322	103	1.4	2.8	-3.5	1.4
8	Alex Verdugo	NYY	124	527	13	65	56	4	7.6%	15.4%	.147	.293	.265	.324	.412	.319	101	-0.6	-0.3	-4.3	1.3
9	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
10	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
11	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
12	Ramón Laureano	CLE	111	465	14	56	50	13	7.9%	26.9%	.162	.296	.231	.309	.393	.307	96	-0.1	-2.2	-3.4	1.0
13	Seth Brown	OAK	119	463	20	52	62	6	8.2%	27.0%	.201	.277	.230	.297	.432	.312	102	-1.0	0.1	-6.4	0.9
14	Luke Raley	SEA	98	390	16	48	47	10	7.2%	31.5%	.185	.304	.230	.308	.415	.314	103	0.0	1.3	-5.4	0.9
15	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
16	Matt Vierling	DET	95	378	8	44	35	6	7.8%	20.6%	.131	.309	.256	.320	.387	.309	95	-0.4	-2.8	-1.7	0.8
17	Mitch Haniger	SEA	113	468	19	55	59	1	7.9%	26.1%	.188	.278	.233	.301	.422	.311	101	-1.1	-0.5	-7.7	0.8
18	Brian Anderson	SEA	56	208	6	23	22	1	9.7%	27.7%	.144	.291	.223	.310	.367	.299	92	-0.4	-2.3	2.9	0.8
19	Wilyer Abreu	BOS	85	339	11	44	40	8	11.6%	26.2%	.166	.304	.239	.331	.405	.322	98	-0.7	-1.4	-2.6	0.7
20	Hunter Renfroe	KCR	116	479	20	56	61	1	7.8%	22.0%	.192	.274	.242	.305	.434	.318	100	-1.4	-1.6	-8.0	0.7
21	Will Brennan	CLE	89	346	5	36	36	9	5.4%	13.5%	.106	.303	.271	.317	.377	.302	93	-0.3	-3.3	-1.9	0.7
22	Manuel Margot	MIN	87	339	6	39	37	9	6.5%	16.6%	.120	.300	.260	.312	.380	.302	92	0.0	-3.4	-2.4	0.6
23	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
24	Colton Cowser	BAL	86	329	8	41	33	5	11.2%	29.7%	.133	.323	.233	.330	.366	.309	97	-0.5	-1.5	-4.7	0.5
25	Dairon Blanco	KCR	48	145	2	19	14	16	6.7%	24.5%	.125	.330	.255	.316	.380	.305	91	0.8	-0.8	0.6	0.5
26	Lawrence Butler	OAK	98	378	11	40	40	8	7.0%	26.2%	.153	.289	.232	.288	.385	.291	88	-0.3	-5.9	-2.7	0.4
27	Drew Waters	KCR	46	175	5	21	17	7	8.2%	30.8%	.160	.327	.238	.306	.398	.306	92	0.1	-1.7	-0.4	0.4
28	Jonny DeLuca	TBR	44	157	5	18	18	3	7.4%	21.2%	.173	.263	.230	.295	.403	.302	89	-0.1	-2.2	-0.9	0.2
29	Trevor Larnach	MIN	46	177	6	21	21	1	10.8%	32.5%	.174	.312	.225	.315	.399	.311	98	-0.4	-0.9	-3.1	0.2
30	Dominic Fletcher	CHW	102	407	8	44	39	4	7.0%	23.8%	.126	.298	.237	.298	.363	.289	80	-1.0	-10.9	-0.9	0.2

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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.

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