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	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
6	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
7	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
8	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
9	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
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	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
12	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
13	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
14	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
15	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
16	Teoscar Hernández	LAD	134	563	26	72	84	7	6.3%	29.0%	.206	.328	.260	.312	.467	.332	109	-1.1	5.4	-7.4	1.7
17	Henry Davis	PIT	115	468	15	55	53	8	10.1%	24.0%	.166	.297	.243	.335	.409	.324	101	-1.1	-0.5	-0.9	1.4
18	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
19	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
20	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
21	Lane Thomas	WSN	144	615	22	81	71	16	7.3%	25.0%	.180	.303	.249	.310	.429	.318	98	-0.1	-1.5	-6.8	1.3
22	Jordan Walker	STL	133	550	18	66	64	10	8.0%	22.8%	.170	.321	.266	.334	.437	.333	110	-0.8	6.1	-12.2	1.3
23	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
24	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
25	Mike Yastrzemski	SFG	117	470	17	59	54	4	10.9%	25.5%	.189	.277	.228	.320	.417	.320	101	-0.5	0.0	-4.8	1.1
26	Will Benson	CIN	116	444	14	60	46	18	12.9%	30.7%	.179	.312	.226	.334	.406	.324	97	0.1	-1.4	-3.2	1.0
27	Ramón Laureano	ATL	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
28	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
29	Dylan Carlson	STL	80	319	8	38	34	3	9.7%	19.8%	.152	.292	.248	.332	.401	.321	102	-0.3	0.4	-1.9	0.9
30	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

#	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	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
6	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
7	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
8	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
9	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
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	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
12	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
13	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
14	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
15	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
16	Teoscar Hernández	LAD	134	563	26	72	84	7	6.3%	29.0%	.206	.328	.260	.312	.467	.332	109	-1.1	5.4	-7.4	1.7
17	Henry Davis	PIT	115	468	15	55	53	8	10.1%	24.0%	.166	.297	.243	.335	.409	.324	101	-1.1	-0.5	-0.9	1.4
18	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
19	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
20	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
21	Lane Thomas	WSN	144	615	22	81	71	16	7.3%	25.0%	.180	.303	.249	.310	.429	.318	98	-0.1	-1.5	-6.8	1.3
22	Jordan Walker	STL	133	550	18	66	64	10	8.0%	22.8%	.170	.321	.266	.334	.437	.333	110	-0.8	6.1	-12.2	1.3
23	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
24	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
25	Mike Yastrzemski	SFG	117	470	17	59	54	4	10.9%	25.5%	.189	.277	.228	.320	.417	.320	101	-0.5	0.0	-4.8	1.1
26	Will Benson	CIN	116	444	14	60	46	18	12.9%	30.7%	.179	.312	.226	.334	.406	.324	97	0.1	-1.4	-3.2	1.0
27	Ramón Laureano	ATL	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
28	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
29	Dylan Carlson	STL	80	319	8	38	34	3	9.7%	19.8%	.152	.292	.248	.332	.401	.321	102	-0.3	0.4	-1.9	0.9
30	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

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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.