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	José Ramírez	CLE	151	656	27	90	94	24	10.4%	11.7%	.215	.276	.276	.354	.490	.356	130	1.8	25.2	2.4	5.0
8	Corey Seager	TEX	132	578	30	85	90	3	9.5%	16.2%	.245	.305	.293	.365	.538	.380	142	-1.4	27.7	2.5	5.0
9	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
10	Gunnar Henderson	BAL	146	620	26	88	83	12	10.1%	25.1%	.215	.317	.261	.340	.477	.350	126	0.3	19.3	8.0	4.8
11	Freddie Freeman	LAD	153	676	26	109	96	15	11.1%	16.1%	.205	.336	.305	.390	.511	.383	144	0.0	36.3	-11.3	4.8
12	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
13	Bobby Witt Jr.	KCR	152	658	29	98	89	41	6.0%	18.4%	.221	.303	.279	.326	.500	.349	121	3.0	19.9	5.1	4.7
14	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
15	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
16	Austin Riley	ATL	154	668	38	100	102	2	8.5%	24.0%	.252	.316	.278	.348	.529	.370	132	-1.3	25.1	-2.4	4.5
17	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
18	Rafael Devers	BOS	150	651	35	93	100	4	9.4%	19.1%	.246	.303	.282	.356	.528	.372	133	-0.9	24.6	-2.3	4.4
19	Alex Bregman	HOU	149	652	22	91	86	2	12.7%	12.2%	.184	.271	.264	.365	.448	.354	127	-2.2	18.9	2.2	4.3
20	Matt Olson	ATL	152	661	40	101	111	1	13.1%	22.4%	.267	.288	.265	.366	.532	.379	138	-1.2	29.7	-10.2	4.2
21	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
22	Francisco Lindor	NYM	153	657	27	92	87	22	9.3%	19.2%	.195	.276	.252	.330	.446	.334	111	0.6	9.3	9.9	4.1
23	Marcus Semien	TEX	153	679	27	99	85	15	9.1%	16.2%	.197	.279	.263	.332	.460	.340	114	0.9	12.6	5.8	4.1
24	Will Smith	LAD	125	516	21	71	75	2	10.7%	17.0%	.205	.277	.261	.353	.466	.351	123	-1.8	12.5	11.3	4.1
25	Trea Turner	PHI	152	665	23	97	82	29	6.8%	19.9%	.180	.322	.279	.332	.460	.340	112	3.2	13.3	4.6	4.0
26	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
27	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
28	Bo Bichette	TOR	146	638	22	85	83	11	5.6%	19.7%	.176	.334	.290	.332	.466	.342	120	-0.4	14.6	1.6	3.8
29	Jose Altuve	HOU	139	616	24	96	73	15	10.0%	16.1%	.190	.296	.274	.353	.465	.353	127	-0.7	18.9	-2.4	3.7
30	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

#	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	José Ramírez	CLE	151	656	27	90	94	24	10.4%	11.7%	.215	.276	.276	.354	.490	.356	130	1.8	25.2	2.4	5.0
8	Corey Seager	TEX	132	578	30	85	90	3	9.5%	16.2%	.245	.305	.293	.365	.538	.380	142	-1.4	27.7	2.5	5.0
9	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
10	Gunnar Henderson	BAL	146	620	26	88	83	12	10.1%	25.1%	.215	.317	.261	.340	.477	.350	126	0.3	19.3	8.0	4.8
11	Freddie Freeman	LAD	153	676	26	109	96	15	11.1%	16.1%	.205	.336	.305	.390	.511	.383	144	0.0	36.3	-11.3	4.8
12	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
13	Bobby Witt Jr.	KCR	152	658	29	98	89	41	6.0%	18.4%	.221	.303	.279	.326	.500	.349	121	3.0	19.9	5.1	4.7
14	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
15	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
16	Austin Riley	ATL	154	668	38	100	102	2	8.5%	24.0%	.252	.316	.278	.348	.529	.370	132	-1.3	25.1	-2.4	4.5
17	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
18	Rafael Devers	BOS	150	651	35	93	100	4	9.4%	19.1%	.246	.303	.282	.356	.528	.372	133	-0.9	24.6	-2.3	4.4
19	Alex Bregman	HOU	149	652	22	91	86	2	12.7%	12.2%	.184	.271	.264	.365	.448	.354	127	-2.2	18.9	2.2	4.3
20	Matt Olson	ATL	152	661	40	101	111	1	13.1%	22.4%	.267	.288	.265	.366	.532	.379	138	-1.2	29.7	-10.2	4.2
21	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
22	Francisco Lindor	NYM	153	657	27	92	87	22	9.3%	19.2%	.195	.276	.252	.330	.446	.334	111	0.6	9.3	9.9	4.1
23	Marcus Semien	TEX	153	679	27	99	85	15	9.1%	16.2%	.197	.279	.263	.332	.460	.340	114	0.9	12.6	5.8	4.1
24	Will Smith	LAD	125	516	21	71	75	2	10.7%	17.0%	.205	.277	.261	.353	.466	.351	123	-1.8	12.5	11.3	4.1
25	Trea Turner	PHI	152	665	23	97	82	29	6.8%	19.9%	.180	.322	.279	.332	.460	.340	112	3.2	13.3	4.6	4.0
26	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
27	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
28	Bo Bichette	TOR	146	638	22	85	83	11	5.6%	19.7%	.176	.334	.290	.332	.466	.342	120	-0.4	14.6	1.6	3.8
29	Jose Altuve	HOU	139	616	24	96	73	15	10.0%	16.1%	.190	.296	.274	.353	.465	.353	127	-0.7	18.9	-2.4	3.7
30	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

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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