2024 Projections

#	Name	Team	G	PA	HR	R	RBI	SB	BB%	K%	ISO	BABIP	AVG	OBP	SLG	wOBA	wRC+	BsR	Off	Def	WAR
1	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
2	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
3	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
4	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
5	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
6	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
7	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
8	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
9	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
10	Dansby Swanson	CHC	151	643	23	83	82	11	8.9%	24.6%	.177	.309	.254	.325	.431	.327	106	0.6	5.5	8.6	3.6
11	Xander Bogaerts	SDP	146	627	18	81	70	12	8.9%	17.7%	.156	.316	.278	.347	.433	.339	114	0.2	10.9	2.4	3.5
12	Ketel Marte	ARI	144	621	19	85	77	7	10.0%	17.0%	.185	.305	.273	.350	.458	.348	118	-1.0	13.0	-0.7	3.3
13	Gleyber Torres	NYY	146	625	24	83	76	13	9.2%	17.3%	.181	.292	.268	.339	.449	.340	115	-1.0	10.2	1.6	3.3
14	Willy Adames	MIL	144	617	27	78	84	6	10.0%	26.1%	.203	.289	.241	.319	.444	.328	105	-0.3	3.4	7.9	3.2
15	Carlos Correa	MIN	135	582	21	70	71	0	10.2%	21.2%	.178	.300	.258	.338	.437	.335	114	-1.8	8.3	3.9	3.2
16	J.P. Crawford	SEA	145	627	12	80	57	3	11.9%	17.4%	.128	.295	.254	.350	.382	.325	110	-1.0	6.9	3.5	3.2
17	Nico Hoerner	CHC	148	634	9	82	62	34	7.1%	12.2%	.107	.308	.279	.340	.386	.319	101	2.0	2.5	7.3	3.1
18	Ha-Seong Kim	SDP	144	597	14	72	60	27	10.0%	19.1%	.138	.285	.245	.328	.383	.313	97	1.0	-1.4	8.9	2.8
19	Anthony Volpe	NYY	143	578	19	71	65	25	8.8%	25.2%	.177	.284	.233	.309	.410	.312	96	0.9	-2.0	8.4	2.6
20	Zach Neto	LAA	135	550	18	68	65	11	7.4%	22.9%	.170	.295	.248	.324	.418	.322	103	-0.4	1.3	5.6	2.5
21	Oneil Cruz	PIT	134	574	24	82	72	22	9.1%	27.4%	.202	.305	.246	.318	.448	.328	104	0.5	3.2	2.5	2.5
22	Jorge Polanco	SEA	125	537	21	66	68	6	10.1%	23.5%	.185	.288	.245	.325	.430	.327	112	-0.5	7.2	-1.1	2.4
23	Jeremy Peña	HOU	144	596	15	74	63	13	6.1%	21.5%	.138	.312	.260	.313	.398	.309	96	-0.2	-3.1	6.2	2.3
24	CJ Abrams	WSN	148	612	15	83	62	41	5.0%	18.4%	.148	.289	.252	.304	.400	.304	89	3.0	-5.4	7.2	2.3
25	Bryson Stott	PHI	141	584	13	71	61	22	7.1%	17.3%	.134	.302	.264	.320	.398	.312	94	1.1	-3.4	5.9	2.2
26	Elly De La Cruz	CIN	137	589	21	84	70	38	7.9%	31.7%	.189	.337	.247	.309	.437	.319	94	1.7	-2.6	2.4	2.0
27	Trevor Story	BOS	120	504	18	65	63	20	7.9%	28.7%	.183	.306	.239	.306	.422	.313	92	1.2	-3.6	4.9	1.8
28	Vaughn Grissom	BOS	119	481	9	58	53	10	7.8%	16.9%	.128	.323	.278	.345	.407	.328	102	-0.5	1.0	-0.3	1.7
29	Tommy Edman	STL	102	418	9	56	41	21	6.6%	16.3%	.142	.293	.260	.316	.402	.312	96	2.0	-0.2	2.0	1.6
30	Orlando Arcia	ATL	127	503	17	61	60	2	7.8%	19.5%	.157	.282	.250	.311	.406	.311	93	-0.8	-5.5	3.1	1.5

#	Name	Team	G	PA	HR	R	RBI	SB	BB%	K%	ISO	BABIP	AVG	OBP	SLG	wOBA	wRC+	BsR	Off	Def	WAR
1	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
2	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
3	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
4	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
5	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
6	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
7	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
8	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
9	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
10	Dansby Swanson	CHC	151	643	23	83	82	11	8.9%	24.6%	.177	.309	.254	.325	.431	.327	106	0.6	5.5	8.6	3.6
11	Xander Bogaerts	SDP	146	627	18	81	70	12	8.9%	17.7%	.156	.316	.278	.347	.433	.339	114	0.2	10.9	2.4	3.5
12	Ketel Marte	ARI	144	621	19	85	77	7	10.0%	17.0%	.185	.305	.273	.350	.458	.348	118	-1.0	13.0	-0.7	3.3
13	Gleyber Torres	NYY	146	625	24	83	76	13	9.2%	17.3%	.181	.292	.268	.339	.449	.340	115	-1.0	10.2	1.6	3.3
14	Willy Adames	MIL	144	617	27	78	84	6	10.0%	26.1%	.203	.289	.241	.319	.444	.328	105	-0.3	3.4	7.9	3.2
15	Carlos Correa	MIN	135	582	21	70	71	0	10.2%	21.2%	.178	.300	.258	.338	.437	.335	114	-1.8	8.3	3.9	3.2
16	J.P. Crawford	SEA	145	627	12	80	57	3	11.9%	17.4%	.128	.295	.254	.350	.382	.325	110	-1.0	6.9	3.5	3.2
17	Nico Hoerner	CHC	148	634	9	82	62	34	7.1%	12.2%	.107	.308	.279	.340	.386	.319	101	2.0	2.5	7.3	3.1
18	Ha-Seong Kim	SDP	144	597	14	72	60	27	10.0%	19.1%	.138	.285	.245	.328	.383	.313	97	1.0	-1.4	8.9	2.8
19	Anthony Volpe	NYY	143	578	19	71	65	25	8.8%	25.2%	.177	.284	.233	.309	.410	.312	96	0.9	-2.0	8.4	2.6
20	Zach Neto	LAA	135	550	18	68	65	11	7.4%	22.9%	.170	.295	.248	.324	.418	.322	103	-0.4	1.3	5.6	2.5
21	Oneil Cruz	PIT	134	574	24	82	72	22	9.1%	27.4%	.202	.305	.246	.318	.448	.328	104	0.5	3.2	2.5	2.5
22	Jorge Polanco	SEA	125	537	21	66	68	6	10.1%	23.5%	.185	.288	.245	.325	.430	.327	112	-0.5	7.2	-1.1	2.4
23	Jeremy Peña	HOU	144	596	15	74	63	13	6.1%	21.5%	.138	.312	.260	.313	.398	.309	96	-0.2	-3.1	6.2	2.3
24	CJ Abrams	WSN	148	612	15	83	62	41	5.0%	18.4%	.148	.289	.252	.304	.400	.304	89	3.0	-5.4	7.2	2.3
25	Bryson Stott	PHI	141	584	13	71	61	22	7.1%	17.3%	.134	.302	.264	.320	.398	.312	94	1.1	-3.4	5.9	2.2
26	Elly De La Cruz	CIN	137	589	21	84	70	38	7.9%	31.7%	.189	.337	.247	.309	.437	.319	94	1.7	-2.6	2.4	2.0
27	Trevor Story	BOS	120	504	18	65	63	20	7.9%	28.7%	.183	.306	.239	.306	.422	.313	92	1.2	-3.6	4.9	1.8
28	Vaughn Grissom	BOS	119	481	9	58	53	10	7.8%	16.9%	.128	.323	.278	.345	.407	.328	102	-0.5	1.0	-0.3	1.7
29	Tommy Edman	STL	102	418	9	56	41	21	6.6%	16.3%	.142	.293	.260	.316	.402	.312	96	2.0	-0.2	2.0	1.6
30	Orlando Arcia	ATL	127	503	17	61	60	2	7.8%	19.5%	.157	.282	.250	.311	.406	.311	93	-0.8	-5.5	3.1	1.5

of 4

Page Size:

1 - 30 of 117 results

of 4

Page Size:

1 - 30 of 117 results

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.