2024 Projections

#	Name	Team	G	PA	HR	R	RBI	SB	BB%	K%	ISO	BABIP	AVG	OBP	SLG	wOBA	wRC+	BsR	Off	Def	WAR
1	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
2	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
3	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
4	Vladimir Guerrero Jr.	TOR	152	659	31	89	96	6	10.1%	15.0%	.217	.292	.282	.361	.499	.366	136	-2.5	26.1	-13.4	3.5
5	Yandy Díaz	TBR	136	591	17	81	68	1	12.0%	14.6%	.157	.324	.293	.384	.450	.364	131	-2.5	20.2	-9.7	3.1
6	Pete Alonso	NYM	152	649	41	89	109	4	10.1%	21.5%	.265	.257	.250	.340	.515	.360	128	-2.3	20.0	-12.5	3.0
7	Paul Goldschmidt	STL	147	644	24	87	84	7	12.0%	22.7%	.183	.314	.264	.355	.447	.347	120	-0.6	15.0	-11.3	2.6
8	Cody Bellinger	CHC	138	583	23	81	81	17	8.0%	19.8%	.190	.290	.261	.322	.451	.330	108	0.6	6.4	-2.3	2.4
9	Triston Casas	BOS	142	578	27	75	78	1	13.5%	23.8%	.221	.298	.254	.358	.475	.358	123	-1.8	14.2	-11.8	2.2
10	Christian Walker	ARI	149	629	28	80	91	7	9.6%	20.3%	.208	.277	.252	.330	.460	.339	112	-0.6	8.8	-8.8	2.1
11	Vinnie Pasquantino	KCR	132	562	20	68	73	1	10.4%	12.7%	.192	.281	.273	.353	.464	.351	123	-1.9	13.6	-11.6	2.1
12	Nathaniel Lowe	TEX	136	582	18	71	69	2	10.9%	22.9%	.163	.330	.269	.352	.431	.341	115	-2.3	8.2	-10.3	1.8
13	Spencer Torkelson	DET	148	629	29	79	84	3	10.3%	24.0%	.216	.277	.242	.326	.457	.337	114	-0.9	9.7	-14.1	1.7
14	Josh Naylor	CLE	133	558	21	64	85	8	7.4%	14.5%	.183	.293	.278	.335	.461	.338	118	-1.6	10.2	-12.4	1.7
15	Rhys Hoskins	MIL	137	585	27	75	79	2	11.9%	25.0%	.220	.275	.236	.334	.456	.341	113	-2.0	7.7	-11.4	1.6
16	Alec Bohm	PHI	141	594	16	70	76	4	6.8%	17.2%	.145	.306	.272	.325	.417	.321	100	-1.6	-1.6	-2.6	1.6
17	Spencer Steer	CIN	137	582	20	71	74	10	9.4%	21.5%	.183	.298	.255	.335	.438	.335	105	-0.8	2.6	-6.4	1.6
18	Jake Cronenworth	SDP	138	582	14	69	65	5	9.1%	18.0%	.157	.279	.245	.325	.401	.317	99	-0.1	-0.9	-5.4	1.4
19	DJ LeMahieu	NYY	110	473	10	56	44	3	10.5%	18.6%	.122	.295	.252	.334	.374	.313	97	-1.7	-3.6	1.0	1.3
20	Christian Encarnacion-Strand	CIN	128	525	27	68	81	3	6.8%	26.7%	.225	.318	.265	.324	.490	.346	112	-1.1	6.6	-11.0	1.3
21	Ryan Mountcastle	BAL	126	527	22	64	72	4	7.5%	24.0%	.187	.309	.262	.320	.449	.329	112	-0.5	6.8	-11.4	1.3
22	Ty France	SEA	143	598	14	69	65	1	6.6%	17.0%	.137	.295	.260	.330	.397	.319	106	-2.5	2.0	-9.3	1.3
23	Nolan Schanuel	LAA	121	499	9	64	46	3	12.8%	16.1%	.119	.305	.264	.368	.383	.335	111	-1.1	5.5	-9.4	1.3
24	Brandon Drury	LAA	129	535	23	66	75	2	5.8%	24.8%	.201	.295	.251	.303	.452	.322	103	-1.7	0.0	-5.3	1.3
25	Ryan Noda	OAK	126	519	18	62	55	5	13.5%	33.1%	.173	.308	.217	.335	.390	.321	108	-0.9	4.1	-9.0	1.3
26	LaMonte Wade Jr.	SFG	116	474	16	58	51	3	12.4%	19.4%	.168	.272	.240	.345	.409	.330	108	-1.4	3.4	-9.3	1.0
27	Anthony Rizzo	NYY	126	535	22	67	67	3	9.3%	20.5%	.185	.265	.238	.330	.423	.328	107	-2.4	1.9	-10.1	1.0
28	Gio Urshela	DET	79	317	7	33	35	2	5.9%	17.8%	.129	.316	.274	.319	.404	.313	98	-1.1	-2.0	1.3	1.0
29	Andrew Vaughn	CHW	139	579	21	65	74	0	6.6%	19.7%	.177	.293	.260	.318	.437	.325	105	-2.3	1.3	-11.1	1.0
30	Wilmer Flores	SFG	96	386	14	46	49	0	9.0%	14.9%	.181	.266	.255	.330	.436	.331	109	-1.5	2.7	-6.0	1.0

#	Name	Team	G	PA	HR	R	RBI	SB	BB%	K%	ISO	BABIP	AVG	OBP	SLG	wOBA	wRC+	BsR	Off	Def	WAR
1	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
2	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
3	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
4	Vladimir Guerrero Jr.	TOR	152	659	31	89	96	6	10.1%	15.0%	.217	.292	.282	.361	.499	.366	136	-2.5	26.1	-13.4	3.5
5	Yandy Díaz	TBR	136	591	17	81	68	1	12.0%	14.6%	.157	.324	.293	.384	.450	.364	131	-2.5	20.2	-9.7	3.1
6	Pete Alonso	NYM	152	649	41	89	109	4	10.1%	21.5%	.265	.257	.250	.340	.515	.360	128	-2.3	20.0	-12.5	3.0
7	Paul Goldschmidt	STL	147	644	24	87	84	7	12.0%	22.7%	.183	.314	.264	.355	.447	.347	120	-0.6	15.0	-11.3	2.6
8	Cody Bellinger	CHC	138	583	23	81	81	17	8.0%	19.8%	.190	.290	.261	.322	.451	.330	108	0.6	6.4	-2.3	2.4
9	Triston Casas	BOS	142	578	27	75	78	1	13.5%	23.8%	.221	.298	.254	.358	.475	.358	123	-1.8	14.2	-11.8	2.2
10	Christian Walker	ARI	149	629	28	80	91	7	9.6%	20.3%	.208	.277	.252	.330	.460	.339	112	-0.6	8.8	-8.8	2.1
11	Vinnie Pasquantino	KCR	132	562	20	68	73	1	10.4%	12.7%	.192	.281	.273	.353	.464	.351	123	-1.9	13.6	-11.6	2.1
12	Nathaniel Lowe	TEX	136	582	18	71	69	2	10.9%	22.9%	.163	.330	.269	.352	.431	.341	115	-2.3	8.2	-10.3	1.8
13	Spencer Torkelson	DET	148	629	29	79	84	3	10.3%	24.0%	.216	.277	.242	.326	.457	.337	114	-0.9	9.7	-14.1	1.7
14	Josh Naylor	CLE	133	558	21	64	85	8	7.4%	14.5%	.183	.293	.278	.335	.461	.338	118	-1.6	10.2	-12.4	1.7
15	Rhys Hoskins	MIL	137	585	27	75	79	2	11.9%	25.0%	.220	.275	.236	.334	.456	.341	113	-2.0	7.7	-11.4	1.6
16	Alec Bohm	PHI	141	594	16	70	76	4	6.8%	17.2%	.145	.306	.272	.325	.417	.321	100	-1.6	-1.6	-2.6	1.6
17	Spencer Steer	CIN	137	582	20	71	74	10	9.4%	21.5%	.183	.298	.255	.335	.438	.335	105	-0.8	2.6	-6.4	1.6
18	Jake Cronenworth	SDP	138	582	14	69	65	5	9.1%	18.0%	.157	.279	.245	.325	.401	.317	99	-0.1	-0.9	-5.4	1.4
19	DJ LeMahieu	NYY	110	473	10	56	44	3	10.5%	18.6%	.122	.295	.252	.334	.374	.313	97	-1.7	-3.6	1.0	1.3
20	Christian Encarnacion-Strand	CIN	128	525	27	68	81	3	6.8%	26.7%	.225	.318	.265	.324	.490	.346	112	-1.1	6.6	-11.0	1.3
21	Ryan Mountcastle	BAL	126	527	22	64	72	4	7.5%	24.0%	.187	.309	.262	.320	.449	.329	112	-0.5	6.8	-11.4	1.3
22	Ty France	SEA	143	598	14	69	65	1	6.6%	17.0%	.137	.295	.260	.330	.397	.319	106	-2.5	2.0	-9.3	1.3
23	Nolan Schanuel	LAA	121	499	9	64	46	3	12.8%	16.1%	.119	.305	.264	.368	.383	.335	111	-1.1	5.5	-9.4	1.3
24	Brandon Drury	LAA	129	535	23	66	75	2	5.8%	24.8%	.201	.295	.251	.303	.452	.322	103	-1.7	0.0	-5.3	1.3
25	Ryan Noda	OAK	126	519	18	62	55	5	13.5%	33.1%	.173	.308	.217	.335	.390	.321	108	-0.9	4.1	-9.0	1.3
26	LaMonte Wade Jr.	SFG	116	474	16	58	51	3	12.4%	19.4%	.168	.272	.240	.345	.409	.330	108	-1.4	3.4	-9.3	1.0
27	Anthony Rizzo	NYY	126	535	22	67	67	3	9.3%	20.5%	.185	.265	.238	.330	.423	.328	107	-2.4	1.9	-10.1	1.0
28	Gio Urshela	DET	79	317	7	33	35	2	5.9%	17.8%	.129	.316	.274	.319	.404	.313	98	-1.1	-2.0	1.3	1.0
29	Andrew Vaughn	CHW	139	579	21	65	74	0	6.6%	19.7%	.177	.293	.260	.318	.437	.325	105	-2.3	1.3	-11.1	1.0
30	Wilmer Flores	SFG	96	386	14	46	49	0	9.0%	14.9%	.181	.266	.255	.330	.436	.331	109	-1.5	2.7	-6.0	1.0

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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.