2023 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	148	643	42	104	105	10	13.7%	25.8%	.281	.330	.284	.387	.565	.403	165	0.3	48.2	-3.8	6.9
2	Juan Soto	SDP	148	647	29	103	87	9	20.1%	14.5%	.232	.293	.282	.429	.514	.407	168	-0.8	49.4	-8.3	6.5
3	Mike Trout	LAA	141	612	40	98	96	3	13.1%	26.7%	.293	.312	.268	.373	.561	.396	160	0.0	41.6	-3.4	6.1
4	Julio Rodríguez	SEA	146	634	29	93	82	28	8.2%	24.2%	.216	.332	.278	.346	.493	.361	143	1.7	32.2	3.4	5.9
5	José Ramírez	CLE	151	650	30	96	103	23	10.5%	13.1%	.232	.274	.274	.354	.506	.365	141	2.8	32.6	2.3	5.8
6	Mookie Betts	LAD	145	641	30	108	83	14	10.3%	16.1%	.232	.284	.272	.355	.504	.370	142	1.8	32.6	0.9	5.7
7	Yordan Alvarez	HOU	138	583	36	91	100	1	12.0%	20.9%	.280	.316	.291	.381	.571	.403	168	-0.5	44.3	-9.8	5.6
8	Freddie Freeman	LAD	153	667	25	105	92	10	12.0%	14.9%	.198	.330	.304	.392	.503	.385	152	0.3	40.1	-9.6	5.5
9	Trea Turner	PHI	152	664	22	101	81	30	6.8%	17.5%	.178	.329	.293	.344	.471	.352	127	4.1	24.7	4.4	5.4
10	Corey Seager	TEX	142	618	28	85	84	2	9.5%	15.8%	.215	.299	.283	.357	.499	.367	142	-0.2	29.2	2.5	5.4
11	Ronald Acuña Jr.	ATL	143	633	29	104	77	35	11.6%	23.8%	.219	.323	.272	.368	.491	.371	139	4.3	32.7	-5.2	5.1
12	Kyle Tucker	HOU	150	632	32	87	98	22	9.1%	16.5%	.240	.286	.277	.344	.517	.368	143	1.9	32.7	-4.7	5.0
13	Alex Bregman	HOU	151	646	23	88	87	2	12.7%	12.7%	.190	.270	.263	.365	.452	.357	135	-1.1	24.7	2.6	5.0
14	Carlos Correa	MIN	144	619	24	81	77	0	10.4%	19.6%	.188	.308	.272	.351	.460	.352	133	-0.9	22.1	5.3	4.9
15	Nolan Arenado	STL	150	637	28	79	96	4	8.2%	12.8%	.209	.267	.267	.331	.477	.347	126	-0.3	18.8	6.8	4.9
16	Manny Machado	SDP	152	653	30	93	99	11	9.7%	18.5%	.211	.296	.274	.344	.485	.355	132	-0.1	23.5	1.5	4.9
17	Vladimir Guerrero Jr.	TOR	152	659	34	96	102	7	9.7%	15.7%	.237	.300	.290	.365	.527	.382	153	-1.4	37.9	-13.3	4.8
18	J.T. Realmuto	PHI	136	552	20	73	74	17	7.7%	22.2%	.185	.311	.264	.332	.449	.339	118	2.4	13.7	13.0	4.8
19	Bo Bichette	TOR	151	657	26	95	88	17	6.2%	20.6%	.192	.329	.286	.333	.478	.350	131	0.8	23.6	-0.1	4.7
20	Wander Franco	TBR	142	610	13	83	71	12	7.8%	10.4%	.154	.304	.288	.346	.442	.343	123	0.8	16.9	7.5	4.7
21	Xander Bogaerts	SDP	147	629	19	86	75	8	9.7%	18.8%	.160	.317	.276	.351	.436	.344	124	0.5	17.9	5.6	4.6
22	Will Smith	LAD	129	530	24	71	79	2	10.4%	18.3%	.220	.277	.260	.349	.480	.358	134	-1.7	18.6	8.0	4.6
23	Austin Riley	ATL	153	655	33	90	98	1	8.1%	24.4%	.230	.321	.274	.344	.504	.364	134	-1.6	24.2	-2.4	4.6
24	Adley Rutschman	BAL	132	550	17	73	60	4	12.5%	17.8%	.176	.292	.259	.358	.435	.348	129	0.4	18.3	7.7	4.6
25	Francisco Lindor	NYM	151	654	23	88	87	15	8.8%	18.1%	.175	.282	.255	.328	.430	.330	114	0.1	10.9	10.6	4.5
26	Rafael Devers	BOS	148	642	31	91	95	4	8.4%	19.6%	.228	.310	.281	.348	.509	.366	136	0.2	25.9	-4.0	4.5
27	Paul Goldschmidt	STL	152	651	30	95	97	7	11.3%	21.3%	.216	.321	.281	.365	.497	.373	144	-0.2	32.6	-11.6	4.4
28	Marcus Semien	TEX	154	674	25	94	78	20	8.5%	18.1%	.187	.273	.251	.316	.438	.328	114	2.2	13.0	6.8	4.3
29	Fernando Tatis Jr.	SDP	115	500	30	83	82	21	10.2%	25.9%	.268	.323	.277	.355	.545	.383	151	2.5	31.8	-7.4	4.3
30	Brandon Nimmo	NYM	136	593	14	86	57	5	11.8%	18.2%	.155	.319	.271	.371	.426	.352	130	-0.3	20.0	-0.1	4.1

#	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	148	643	42	104	105	10	13.7%	25.8%	.281	.330	.284	.387	.565	.403	165	0.3	48.2	-3.8	6.9
2	Juan Soto	SDP	148	647	29	103	87	9	20.1%	14.5%	.232	.293	.282	.429	.514	.407	168	-0.8	49.4	-8.3	6.5
3	Mike Trout	LAA	141	612	40	98	96	3	13.1%	26.7%	.293	.312	.268	.373	.561	.396	160	0.0	41.6	-3.4	6.1
4	Julio Rodríguez	SEA	146	634	29	93	82	28	8.2%	24.2%	.216	.332	.278	.346	.493	.361	143	1.7	32.2	3.4	5.9
5	José Ramírez	CLE	151	650	30	96	103	23	10.5%	13.1%	.232	.274	.274	.354	.506	.365	141	2.8	32.6	2.3	5.8
6	Mookie Betts	LAD	145	641	30	108	83	14	10.3%	16.1%	.232	.284	.272	.355	.504	.370	142	1.8	32.6	0.9	5.7
7	Yordan Alvarez	HOU	138	583	36	91	100	1	12.0%	20.9%	.280	.316	.291	.381	.571	.403	168	-0.5	44.3	-9.8	5.6
8	Freddie Freeman	LAD	153	667	25	105	92	10	12.0%	14.9%	.198	.330	.304	.392	.503	.385	152	0.3	40.1	-9.6	5.5
9	Trea Turner	PHI	152	664	22	101	81	30	6.8%	17.5%	.178	.329	.293	.344	.471	.352	127	4.1	24.7	4.4	5.4
10	Corey Seager	TEX	142	618	28	85	84	2	9.5%	15.8%	.215	.299	.283	.357	.499	.367	142	-0.2	29.2	2.5	5.4
11	Ronald Acuña Jr.	ATL	143	633	29	104	77	35	11.6%	23.8%	.219	.323	.272	.368	.491	.371	139	4.3	32.7	-5.2	5.1
12	Kyle Tucker	HOU	150	632	32	87	98	22	9.1%	16.5%	.240	.286	.277	.344	.517	.368	143	1.9	32.7	-4.7	5.0
13	Alex Bregman	HOU	151	646	23	88	87	2	12.7%	12.7%	.190	.270	.263	.365	.452	.357	135	-1.1	24.7	2.6	5.0
14	Carlos Correa	MIN	144	619	24	81	77	0	10.4%	19.6%	.188	.308	.272	.351	.460	.352	133	-0.9	22.1	5.3	4.9
15	Nolan Arenado	STL	150	637	28	79	96	4	8.2%	12.8%	.209	.267	.267	.331	.477	.347	126	-0.3	18.8	6.8	4.9
16	Manny Machado	SDP	152	653	30	93	99	11	9.7%	18.5%	.211	.296	.274	.344	.485	.355	132	-0.1	23.5	1.5	4.9
17	Vladimir Guerrero Jr.	TOR	152	659	34	96	102	7	9.7%	15.7%	.237	.300	.290	.365	.527	.382	153	-1.4	37.9	-13.3	4.8
18	J.T. Realmuto	PHI	136	552	20	73	74	17	7.7%	22.2%	.185	.311	.264	.332	.449	.339	118	2.4	13.7	13.0	4.8
19	Bo Bichette	TOR	151	657	26	95	88	17	6.2%	20.6%	.192	.329	.286	.333	.478	.350	131	0.8	23.6	-0.1	4.7
20	Wander Franco	TBR	142	610	13	83	71	12	7.8%	10.4%	.154	.304	.288	.346	.442	.343	123	0.8	16.9	7.5	4.7
21	Xander Bogaerts	SDP	147	629	19	86	75	8	9.7%	18.8%	.160	.317	.276	.351	.436	.344	124	0.5	17.9	5.6	4.6
22	Will Smith	LAD	129	530	24	71	79	2	10.4%	18.3%	.220	.277	.260	.349	.480	.358	134	-1.7	18.6	8.0	4.6
23	Austin Riley	ATL	153	655	33	90	98	1	8.1%	24.4%	.230	.321	.274	.344	.504	.364	134	-1.6	24.2	-2.4	4.6
24	Adley Rutschman	BAL	132	550	17	73	60	4	12.5%	17.8%	.176	.292	.259	.358	.435	.348	129	0.4	18.3	7.7	4.6
25	Francisco Lindor	NYM	151	654	23	88	87	15	8.8%	18.1%	.175	.282	.255	.328	.430	.330	114	0.1	10.9	10.6	4.5
26	Rafael Devers	BOS	148	642	31	91	95	4	8.4%	19.6%	.228	.310	.281	.348	.509	.366	136	0.2	25.9	-4.0	4.5
27	Paul Goldschmidt	STL	152	651	30	95	97	7	11.3%	21.3%	.216	.321	.281	.365	.497	.373	144	-0.2	32.6	-11.6	4.4
28	Marcus Semien	TEX	154	674	25	94	78	20	8.5%	18.1%	.187	.273	.251	.316	.438	.328	114	2.2	13.0	6.8	4.3
29	Fernando Tatis Jr.	SDP	115	500	30	83	82	21	10.2%	25.9%	.268	.323	.277	.355	.545	.383	151	2.5	31.8	-7.4	4.3
30	Brandon Nimmo	NYM	136	593	14	86	57	5	11.8%	18.2%	.155	.319	.271	.371	.426	.352	130	-0.3	20.0	-0.1	4.1

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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.