2024 Projections

#	Name	Team	G	PA	HR	R	RBI	SB	BB%	K%	ISO	BABIP	AVG	OBP	SLG	wOBA	wRC+	BsR	Off	Def	WAR
1	Cal Raleigh	SEA	130	512	27	62	71	1	8.8%	27.4%	.228	.259	.225	.297	.453	.320	107	-1.3	3.0	8.7	2.9
2	Salvador Perez	KCR	132	539	24	61	81	0	4.0%	23.6%	.192	.291	.254	.295	.446	.314	97	-2.2	-3.9	2.0	1.6
3	Francisco Alvarez	NYM	121	463	24	56	65	2	9.6%	26.2%	.215	.260	.227	.311	.442	.324	104	-1.0	1.2	4.6	2.1
4	Logan O'Hoppe	LAA	123	480	23	57	66	2	9.0%	21.4%	.209	.277	.251	.327	.460	.338	113	-1.3	6.4	4.8	2.7
5	William Contreras	MIL	140	574	22	75	73	4	9.9%	22.5%	.186	.322	.271	.348	.457	.348	118	-1.7	11.1	3.9	3.4
6	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
7	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
8	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
9	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
10	Shea Langeliers	OAK	119	459	20	49	56	3	7.3%	28.8%	.202	.269	.222	.285	.423	.303	96	-1.0	-3.4	7.5	2.0
11	Sean Murphy	ATL	116	462	20	62	64	0	10.1%	22.4%	.211	.289	.252	.345	.463	.349	117	-1.2	8.8	9.5	3.4
12	J.T. Realmuto	PHI	133	530	20	69	70	15	7.1%	24.2%	.189	.306	.256	.319	.444	.327	104	0.6	3.2	12.8	3.4
13	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
14	Jonah Heim	TEX	125	482	17	54	65	2	8.0%	19.3%	.174	.274	.247	.309	.421	.315	97	-1.0	-2.8	13.1	2.7
15	Ryan Jeffers	MIN	101	378	16	45	47	2	9.4%	27.9%	.199	.298	.240	.322	.439	.329	110	-1.1	3.6	5.4	2.2
16	Jake Rogers	DET	95	351	16	41	44	2	8.0%	32.1%	.200	.277	.216	.285	.416	.301	90	-0.5	-4.9	7.1	1.4
17	Bo Naylor	CLE	118	442	16	52	54	7	11.9%	25.3%	.181	.280	.229	.326	.410	.321	106	-0.3	2.6	7.4	2.5
18	Danny Jansen	TOR	78	292	15	37	44	1	8.7%	20.4%	.224	.245	.234	.313	.459	.330	111	-0.7	3.2	4.4	1.7
19	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
20	Keibert Ruiz	WSN	124	495	15	52	58	2	6.3%	10.8%	.150	.268	.262	.317	.412	.316	97	-1.9	-3.9	5.0	1.8
21	Gary Sánchez	MIL	73	285	14	32	40	1	9.2%	27.6%	.215	.244	.213	.297	.428	.313	95	-1.0	-2.9	-1.6	0.5
22	René Pinto	TBR	98	347	13	34	42	1	4.5%	32.9%	.171	.304	.227	.267	.398	.285	78	-0.6	-10.0	8.0	1.0
23	Elias Díaz	COL	116	445	13	46	54	1	6.7%	21.5%	.151	.298	.253	.306	.404	.308	77	-1.5	-14.5	5.1	0.6
24	Luis Campusano	SDP	111	431	13	49	54	0	6.2%	17.3%	.148	.289	.260	.314	.409	.313	97	-1.3	-3.0	-0.1	1.1
25	Austin Wells	NYY	88	354	13	40	46	4	8.7%	24.5%	.178	.275	.231	.305	.410	.309	94	-0.4	-3.1	4.3	1.3
26	Tyler Stephenson	CIN	114	429	12	50	51	1	8.9%	24.4%	.146	.318	.255	.329	.401	.319	94	-1.1	-4.2	7.5	1.8
27	Travis d'Arnaud	ATL	82	325	11	39	43	0	6.7%	22.8%	.170	.290	.246	.306	.416	.312	93	-1.2	-4.0	4.2	1.1
28	Connor Wong	BOS	101	363	11	43	39	6	5.7%	30.6%	.158	.320	.237	.288	.395	.295	80	-0.2	-9.2	5.7	0.9
29	Alejandro Kirk	TOR	103	392	10	42	45	0	10.3%	11.2%	.142	.278	.267	.349	.409	.332	112	-2.3	3.6	8.7	2.5
30	Martín Maldonado	CHW	81	296	10	27	30	0	7.8%	32.2%	.152	.250	.190	.262	.342	.266	64	-1.6	-14.5	4.9	0.0

#	Name	Team	G	PA	HR	R	RBI	SB	BB%	K%	ISO	BABIP	AVG	OBP	SLG	wOBA	wRC+	BsR	Off	Def	WAR
1	Cal Raleigh	SEA	130	512	27	62	71	1	8.8%	27.4%	.228	.259	.225	.297	.453	.320	107	-1.3	3.0	8.7	2.9
2	Salvador Perez	KCR	132	539	24	61	81	0	4.0%	23.6%	.192	.291	.254	.295	.446	.314	97	-2.2	-3.9	2.0	1.6
3	Francisco Alvarez	NYM	121	463	24	56	65	2	9.6%	26.2%	.215	.260	.227	.311	.442	.324	104	-1.0	1.2	4.6	2.1
4	Logan O'Hoppe	LAA	123	480	23	57	66	2	9.0%	21.4%	.209	.277	.251	.327	.460	.338	113	-1.3	6.4	4.8	2.7
5	William Contreras	MIL	140	574	22	75	73	4	9.9%	22.5%	.186	.322	.271	.348	.457	.348	118	-1.7	11.1	3.9	3.4
6	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
7	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
8	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
9	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
10	Shea Langeliers	OAK	119	459	20	49	56	3	7.3%	28.8%	.202	.269	.222	.285	.423	.303	96	-1.0	-3.4	7.5	2.0
11	Sean Murphy	ATL	116	462	20	62	64	0	10.1%	22.4%	.211	.289	.252	.345	.463	.349	117	-1.2	8.8	9.5	3.4
12	J.T. Realmuto	PHI	133	530	20	69	70	15	7.1%	24.2%	.189	.306	.256	.319	.444	.327	104	0.6	3.2	12.8	3.4
13	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
14	Jonah Heim	TEX	125	482	17	54	65	2	8.0%	19.3%	.174	.274	.247	.309	.421	.315	97	-1.0	-2.8	13.1	2.7
15	Ryan Jeffers	MIN	101	378	16	45	47	2	9.4%	27.9%	.199	.298	.240	.322	.439	.329	110	-1.1	3.6	5.4	2.2
16	Jake Rogers	DET	95	351	16	41	44	2	8.0%	32.1%	.200	.277	.216	.285	.416	.301	90	-0.5	-4.9	7.1	1.4
17	Bo Naylor	CLE	118	442	16	52	54	7	11.9%	25.3%	.181	.280	.229	.326	.410	.321	106	-0.3	2.6	7.4	2.5
18	Danny Jansen	TOR	78	292	15	37	44	1	8.7%	20.4%	.224	.245	.234	.313	.459	.330	111	-0.7	3.2	4.4	1.7
19	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
20	Keibert Ruiz	WSN	124	495	15	52	58	2	6.3%	10.8%	.150	.268	.262	.317	.412	.316	97	-1.9	-3.9	5.0	1.8
21	Gary Sánchez	MIL	73	285	14	32	40	1	9.2%	27.6%	.215	.244	.213	.297	.428	.313	95	-1.0	-2.9	-1.6	0.5
22	René Pinto	TBR	98	347	13	34	42	1	4.5%	32.9%	.171	.304	.227	.267	.398	.285	78	-0.6	-10.0	8.0	1.0
23	Elias Díaz	COL	116	445	13	46	54	1	6.7%	21.5%	.151	.298	.253	.306	.404	.308	77	-1.5	-14.5	5.1	0.6
24	Luis Campusano	SDP	111	431	13	49	54	0	6.2%	17.3%	.148	.289	.260	.314	.409	.313	97	-1.3	-3.0	-0.1	1.1
25	Austin Wells	NYY	88	354	13	40	46	4	8.7%	24.5%	.178	.275	.231	.305	.410	.309	94	-0.4	-3.1	4.3	1.3
26	Tyler Stephenson	CIN	114	429	12	50	51	1	8.9%	24.4%	.146	.318	.255	.329	.401	.319	94	-1.1	-4.2	7.5	1.8
27	Travis d'Arnaud	ATL	82	325	11	39	43	0	6.7%	22.8%	.170	.290	.246	.306	.416	.312	93	-1.2	-4.0	4.2	1.1
28	Connor Wong	BOS	101	363	11	43	39	6	5.7%	30.6%	.158	.320	.237	.288	.395	.295	80	-0.2	-9.2	5.7	0.9
29	Alejandro Kirk	TOR	103	392	10	42	45	0	10.3%	11.2%	.142	.278	.267	.349	.409	.332	112	-2.3	3.6	8.7	2.5
30	Martín Maldonado	CHW	81	296	10	27	30	0	7.8%	32.2%	.152	.250	.190	.262	.342	.266	64	-1.6	-14.5	4.9	0.0

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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.