Brett Baty — OGILVIE

Brett BatyRF New York Mets

Age 26 L/R 6'3" / 210 lbs MLB H -5% Svc 2.512S2 · Ctrl thru 2029

2026 ROS PROJECTION432 act + 10 ros · stats below = ROS only

showingROS

wRC+†vL 8294vR 98

AVG/OBP/SLG.111 / .200 / .111

PA10

HR0

K%30

BB%10

BABIP289

ISO164

MLB%100%

Value2026 · WAR

2026 MLB RUNS · solid = so far · light = projected ROS (park-applied)

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control-$7M ctrl surplus

Tools · Recent Form · Splits · ContractCON 50 / POW 55

Toolsscout grade · Statcast %ile · 2024-2026

CONTACT50

Whiff%

906.5%

xAVG

340.238

POWER55

Barrel%

6610.5

Avg EV

6189.9

Bat Spd

8374.8

EYE50

Chase%

9017.6%

SPEED50

Sprint

3626.8

Recent Formrolling true talent ⓘ

K%26%·26% over 80 PA (45d) · proj 26%

BB%8%·8% over 104 PA (60d) · proj 8%

ISO.201▲▲.263 over 95 AB (60d) · proj .164xISO .165 vs .186 prior — approach does NOT back the move

HR/BB6.8%▲8.8% over 68 BBE (60d) · proj 5.5%barrel% 10.3% vs 10.7% prior — approach flat: likely noise/luck

BABIP.291·.290 over 62 BIP (60d) · proj .291xBABIP .273 vs .310 prior

SLASH.245/.308/.445▲▲proj .239/.305/.403

Platoon Splits2024-2026 · 674 PA

vs LHP

vs RHP

Edge

120

554

—

wRC+

▶▶R

wOBA

283

315

▶R

ISO

118

161

▶▶R

BABIP

275

306

▶R

25.0%

25.3%

—

BB%

5.0%

7.8%

▶▶R

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status Pre-Arb SUPER-2

MLB Debut 2022

Service 2.512 yrs.days

Team Control Through 2029

First FA Year 2030

Year	Status	Salary	Proj WAR	Value	Surplus
2026ROS	Ext	$0.1M	—	—	—
2027	Arb-2	$2M	—	—	—
2028	Arb-3	$2M	—	—	—
2029	Arb-4	$2M	—	—	—
Totals		$0.1M		$-3M	-$0.2M

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how these numbers are built

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2026 = actual YTD + projected ROS + total. 2027+ via Advanced Marcel + aging curve.

Year	Age	Lvl	Team	MLB%	PA	AB	H	2B	3B	HR	BB	SO	HBP	SB	CS	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2019	19	ROK	GCL Mets	—	25	20	7	3	0	1	5	6	0	0	0	350	480	650	1.130	300	462	24	20	485	215	+3	+0	—	—	+1	0.4
2021	21	AA	Binghamton Rumble Ponies	—	176	151	41	8	0	5	22	45	1	2	0	272	368	424	792	152	350	26	12	353	125	+5	+0	—	—	+4	1.0
2021	21	A+	Brooklyn Cyclones	—	209	181	56	14	1	7	24	53	3	4	3	309	399	514	913	204	402	25	11	401	158	+14	-0	—	—	+5	1.9
2021	21	INTL	Salt River Rafters	—	102	89	26	5	1	1	11	31	1	1	0	292	376	404	781	112	431	30	11	350	123	+3	+0	—	—	+2	0.5
2022	22	MLB	New York Mets	—	42	38	7	0	0	2	2	8	1	0	0	184	238	342	580	158	179	19	5	258	60	-2	+0	-0	+2	+1	0.0
2022	22	AAA	Syracuse Mets	—	26	22	8	0	0	0	3	6	1	0	1	364	462	364	825		500	23	12	387	148	+1	-0	—	—	+1	0.2
2022	22	AA	Binghamton Rumble Ponies	—	394	340	106	22	0	19	46	98	8	2	3	312	406	544	950	232	390	25	12	418	169	+32	-1	—	—	+9	4.1
2023	23	MLB	New York Mets	—	389	353	75	12	0	9	29	109	2	2	0	212	274	323	597	110	280	28	7	269	68	-15	+0	-2	+2	+8	-0.6
2023	23	AAA	Syracuse Mets	—	121	104	31	4	0	10	16	29	0	2	2	298	392	625	1.017	327	318	24	13	434	180	+11	-0	—	—	+3	1.4
2024	24	MLB	New York Mets	—	171	153	35	3	0	4	16	42	1	0	0	229	306	327	633	98	290	25	9	289	82	-4	+0	+2	+2	+4	0.4
2024	24	AAA	Syracuse Mets	—	269	230	58	10	0	16	33	57	3	1	0	252	353	504	858	252	263	21	12	373	139	+12	+0	—	—	+6	1.9
2025	25	MLB	New York Mets	—	432	393	100	13	2	18	33	108	2	8	0	254	315	435	750	181	304	25	8	330	109	+5	+2	+2	+2	+9	2.0
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1034	937	217	28	2	33	80	267	6	10	0	232	295	371	666	140	287	26	8	297	87	-16	+2	+2	+7	+22	1.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2019	19	ROK MLE	GCL Mets	—	25	22	5	2	0	1	3	9	0	0	0	227	320	455	775	227	349	36	12	329	109	+0	+0	—	—	+1	0.1
2021	21	AA MLE	Binghamton Rumble Ponies	—	176	158	38	7	0	4	15	54	1	2	0	241	310	361	671	120	321	31	9	292	84	-3	+0	—	—	+4	0.1
2021	21	A+ MLE	Brooklyn Cyclones	—	209	188	51	12	1	6	17	69	3	4	3	271	341	441	783	170	390	33	8	338	115	+4	-0	—	—	+5	0.8
2022	22	MLB MLE	New York Mets	—	42	39	7	0	0	2	2	8	1	0	0	179	238	333	571	154	179	19	5	258	61	-2	+0	-0	+2	+1	0.0
2022	22	AAA MLE	Syracuse Mets	—	26	23	8	0	0	0	2	7	1	0	1	348	423	348	771		488	27	8	337	114	+0	-0	—	—	+1	0.1
2022	22	AA MLE	Binghamton Rumble Ponies	—	394	356	101	20	0	16	30	117	8	2	3	284	353	475	828	191	380	30	8	357	128	+13	-1	—	—	+9	2.1
2023	23	MLB MLE	New York Mets	—	389	356	76	12	0	9	29	109	2	2	0	213	276	323	600	110	280	28	7	271	70	-14	+0	-2	+2	+8	-0.5
2023	23	AAA MLE	Syracuse Mets	—	121	109	27	4	0	7	11	36	0	2	2	248	317	477	794	229	288	30	9	333	112	+2	-0	—	—	+3	0.4
2024	24	MLB MLE	New York Mets	—	171	153	36	3	0	4	16	42	1	0	0	235	312	333	645	98	290	25	9	286	80	-4	+0	+2	+2	+4	0.3
2024	24	AAA MLE	Syracuse Mets	—	269	239	49	9	0	10	24	71	3	1	0	205	286	368	654	163	233	26	9	287	80	-6	+0	—	—	+6	-0.0
2025	25	MLB MLE	New York Mets	—	432	394	102	13	2	18	33	108	2	8	0	259	319	439	758	180	304	25	8	331	110	+5	+2	+2	+2	+9	2.0
2019	19	ROK MLE	GCL Mets	—	25	22	5	2	0	1	3	9	0	0	0	227	320	455	775	227	333	36	12	329	109	—	—	—	—	—	—
2019	19	ROK RAW	GCL Mets	—	25	20	7	3	0	1	5	6	0	0	0	350	480	650	1.130	300	462	24	20	485	109	—	—	—	—	—	—
2021	21	A+ MLE	3 teams	—	487	438	111	24	1	12	40	155	5	7	3	253	323	395	718	142	360	32	8	317	101	—	—	—	—	—	—
2021	21	A+ RAW	3 teams	—	487	421	123	27	2	13	57	129	5	7	3	292	383	458	841	166	389	26	12	373	101	—	—	—	—	—	—
2022	22	AA MLE	3 teams	—	462	418	115	20	0	18	34	133	10	2	4	275	344	452	796	177	363	29	7	347	121	—	—	—	—	—	—
2022	22	AA RAW	3 teams	—	462	400	121	22	0	21	51	112	10	2	4	302	394	515	909	213	375	24	11	401	121	—	—	—	—	—	—
2023	23	MLB MLE	2 teams	—	510	465	103	16	0	16	40	145	2	4	2	222	286	359	645	138	284	28	8	286	79	-12	+0	-2	+2	+11	-0.1
2023	23	MLB RAW	2 teams	—	510	457	106	16	0	19	45	138	2	4	2	232	302	392	693	160	288	27	9	308	79	-12	+0	-2	+2	+11	-0.1
2024	24	AAA MLE	2 teams	—	440	392	84	12	0	14	40	113	4	1	0	214	294	352	646	138	261	26	9	287	80	—	—	—	—	—	—
2024	24	AAA RAW	2 teams	—	440	383	93	13	0	20	49	99	4	1	0	243	335	433	768	191	273	22	11	340	80	—	—	—	—	—	—
2025	25	MLB MLE	New York Mets	—	432	394	102	13	2	18	33	108	2	8	0	259	319	439	758	180	310	25	8	331	110	+5	+2	+2	+2	+9	2.0
2025	25	MLB RAW	New York Mets	—	432	393	100	13	2	18	33	108	2	8	0	254	315	435	750	181	304	25	8	330	110	+5	+2	+2	+2	+9	2.0
2019	19	ROK MLE	GCL Mets	—	25	22	5	2	0	1	3	9	0	0	0	227	320	455	775	227	349	36	12	329	109	—	—	—	—	—	—
2021	21	A+ MLE	3 teams	—	487	439	111	24	1	12	40	155	5	7	3	253	323	394	717	141	358	32	8	317	101	—	—	—	—	—	—
2022	22	AA MLE	3 teams	—	462	415	115	20	0	18	34	133	10	2	4	277	344	455	800	178	368	29	7	347	121	—	—	—	—	—	—
2023	23	MLB MLE	2 teams	—	510	463	103	16	0	16	40	145	2	4	2	222	286	361	647	138	282	28	8	286	79	—	—	—	—	—	—
2024	24	AAA MLE	2 teams	—	440	393	84	12	0	14	40	113	4	1	0	214	294	351	645	137	255	26	9	287	80	—	—	—	—	—	—
2025	25	MLB MLE	New York Mets	—	432	394	102	13	2	18	33	108	2	8	0	259	319	439	758	180	304	25	8	331	110	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	23	MLB MLE	2 teams	—	510	463	103	16	0	16	40	145	2	4	2	222	286	361	647	138	282	28	8	286	79	—	—	—	—	—	—
2024	24	AAA MLE	2 teams	—	440	393	84	12	0	14	40	113	4	1	0	214	294	351	645	137	255	26	9	287	80	—	—	—	—	—	—
2025	25	MLB MLE	New York Mets	—	432	394	102	13	2	18	33	108	2	8	0	259	319	439	758	180	304	25	8	331	110	—	—	—	—	—	—
YTD	26	MLB MLE	NYM	—	432	386	90	21	1	10	38	117	3	5	1	233	307	370	677	137	303	27	9	299	89	-6	+1	-3	-5	+9	-0.3
▸ 2026 season
▸ 2026 season — so far · projected rest · full
SO FAR	26	MLB RAW	NYM	—	432	385	88	20	1	10	38	117	3	5	1	229	302	364	666	135	297	27	9	297	89	-6	+1	-3	-5	+9	-0.3
YTD	26	MLB RAW	NYM	—	432	385	88	20	1	10	38	117	3	5	1	229	302	364	666	135	297	27	9	297	87	-7	+1	-3	-5	+9	-0.4
ROS	26	MLB MLE	NYM	100%	10	9	1	0	0	0	1	3	0	0	0	111	200	111	311		297	30	10	308	94	-0	+0	-0	-0	+0	0.0
ROS	26	MLB CTX	NYM	100%	10	9	1	0	0	0	1	3	0	0	0	111	200	111	311		289	30	10	298	94	-0	+0	-0	-0	+0	0.0
FULL	26	MLB A+C	NYM	—	442	394	89	20	1	10	39	120	3	5	1	226	300	358	658	132	294	27	9	297	89	-6	+1	-3	-5	+10	-0.3
TOT	26	MLB MLE	NYM	—	442	395	91	21	1	10	39	120	3	5	1	230	304	365	669	134	300	27	9	299	89	-6	+1	-3	-5	+10	-0.3
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	27	MLB MLE	NYM	98%	478	431	98	14	1	14	41	126	3	6	1	227	299	362	661	135	287	26	9	299	89	-6	+1	-1	-5	+10	-0.1
2028	28	MLB MLE	NYM	98%	471	424	97	14	1	14	41	125	3	5	1	229	301	366	667	137	286	27	9	298	88	-7	+1	-2	-5	+10	-0.3
2029	29	MLB MLE	NYM	98%	459	413	93	13	1	13	40	123	3	5	1	225	298	356	654	131	285	27	9	296	87	-7	+1	-2	-5	+10	-0.4
2030	30	MLB MLE	NYM	98%	448	403	91	13	1	13	39	121	3	4	1	226	299	360	659	134	283	27	9	293	84	-8	+0	-3	-5	+10	-0.6
2031	31	MLB MLE	NYM	98%	433	389	85	12	0	12	38	118	3	4	1	219	293	342	635	123	280	27	9	288	81	-10	+0	-4	-5	+9	-0.8
2027	27	MLB CTX	NYM	98%	468	422	94	13	1	14	40	124	3	6	1	223	295	358	652	135	279	26	9	290	89	-6	+1	-1	-5	+10	-0.1
2028	28	MLB CTX	NYM	98%	462	416	93	13	1	14	40	123	3	5	1	224	296	361	657	137	279	27	9	289	88	-7	+1	-2	-5	+10	-0.3
2029	29	MLB CTX	NYM	98%	450	405	90	13	1	13	39	120	3	5	1	222	295	356	651	133	278	27	9	287	87	-7	+1	-2	-5	+10	-0.4
2030	30	MLB CTX	NYM	98%	439	394	87	12	1	13	39	118	3	4	1	221	296	355	651	135	276	27	9	284	84	-8	+0	-3	-5	+10	-0.6
2031	31	MLB CTX	NYM	98%	424	381	81	11	0	12	37	116	3	4	1	213	287	336	623	123	273	27	9	279	81	-9	+0	-4	-5	+9	-0.8
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3287	2964	663	90	6	99	276	871	21	34	5	224	294	358	652	135	281	26	8	289	92	-53	+5	-10	-18	+71	-0.5
/ 162G	—	A+C		—	650	586	132	18	1	20	55	172	4	7	1	225	296	362	657	137	282	26	8	289	92	-11	+1	-2	-3	+14	-0.1
Career	—	MLE		—	4655	4198	985	153	7	145	390	1279	38	46	14	235	305	378	683	143	300	27	8	304	92	-54	+5	-10	-18	+72	-0.5
/ 162G	—	MLE		—	650	586	137	21	1	20	54	179	5	6	2	234	303	375	679	142	300	28	8	304	92	-11	+1	-2	-4	+14	-0.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Luis Valbuenalast yr '18 career totals — 10 seasons, 3,527 PA	5.3	3,527	113	10	226	311	395	+13	+1	10.5	11.2
/162	664	21	2	+2.4	+0.1	2.0	pk7: 12
#2Marwin Gonzalezlast yr '22 career totals — 11 seasons, 3,882 PA	5.8	3,882	107	44	252	310	399	-10	+17	10.9	10.9
/162	664	18	8	-1.6	+2.8	1.9	pk7: 11
#3Sean Rodríguezlast yr '19 career totals — 11 seasons, 2,871 PA	4.3	2,871	79	42	226	302	380	+10	+16	8.1	8.5
/162	664	18	10	+2.3	+3.7	1.9	pk7: 9
#4Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 10 projected seasons	6.2	4,149	124	45	230	297	369	-12	+2	5.5	5.9
/162	664	20	7	-2.0	+0.3	0.9	pk7: 6
#5Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#6Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4

Career Path Comps

What happened to players with a similar stat profile at this age · Y-axis: wRC+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

		Scouting				At Match Age									Next 3 Yrs									Peak 3 Yrs
Comp	Age	HIT	PWR	SPD	EYE	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR
Brett Baty (OGILVIE)	26	50	55	50	50	234/304/379	145	297	14	6	26%	9%	94	+0.7	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Zach McKinstry 2022 · MLB	27	45→53	52→55	46→55	45	233/291/405	171	279	19	9	24%	7%	95	+0.9	234/299/372	138	290	13	15	23%	8%	90	+0.6	239/311/383	145	294	12	23	22%	8%	95	+0.7
✕Matt Thaiss 2021 · MLB	26	42→50	50	47→45	50	219/291/374	155	265	18	5	25%	9%	87	+0.4	230/307/380	150	291	17	6	25%	9%	95	+1.0	225/309/368	143	285	17	5	26%	10%	90	+0.4
✕David Bote 2019 · MLB	26	47→49	49→50	45	44	236/296/388	152	299	17	7	26%	7%	93	+0.8	230/314/392	162	290	19	7	26%	10%	101	+1.4	219/315/376	157	269	19	5	25%	11%	94	+0.4
✕Ryan McMahon 2020 · MLB	25	48→58	51→55	48→45	46	241/306/405	164	315	19	7	29%	8%	100	+1.3	232/309/401	169	300	21	6	28%	10%	101	+1.4	230/313/394	163	297	19	6	28%	10%	99	+1.3
✕Shed Long Jr. 2022 · MLB	26	44→49	49→50	49→50	45	223/284/374	151	290	17	9	29%	8%	84	+0.2	222/292/347	125	315	12	10	31%	8%	81	-0.1	183/266/244	61	307	0	9	36%	9%	45	-0.5
●Trent Grisham 2023 · MLB	26	42→49	51→60	51→55	52	216/307/380	164	267	19	12	26%	11%	95	+1.0	209/313/381	172	260	20	10	27%	12%	98	+1.2	212/319/405	193	232	27	6	22%	13%	104	+1.1
✕Laynce Nix 2006 · MLB	25	48	53→60	49→45	43	246/289/423	176	293	20	5	24%	6%	97	+1.1	226/270/394	168	294	21	6	30%	5%	84	+0.2	251/305/455	204	294	24	1	23%	7%	105	+0.8
✕Jason Martin 2022 · MLB	26	42→49	51→60	46→50	47	219/281/377	158	262	19	11	25%	8%	84	+0.2	230/294/419	189	296	24	9	30%	8%	99	+1.3	224/289/418	194	288	25	8	31%	8%	94	+0.6
✕Kirk Nieuwenhuis 2015 · MLB	27	44→50	51→60	49→50	44	222/287/387	165	301	18	10	32%	8%	89	+0.5	218/299/388	170	307	18	11	33%	10%	94	+0.9	203/298/360	157	294	17	10	34%	11%	85	+0.1
✕Josh VanMeter 2022 · MLB	27	45→48	53→55	48→50	53	230/317/409	179	284	20	10	26%	11%	105	+1.7	202/301/335	133	265	14	9	27%	12%	82	+0.0	167/280/268	101	224	10	9	28%	13%	59	-0.6
✕Nomar Mazara 2021 · MLB	26	50→52	50→55	44→40	45	250/309/408	158	305	18	5	24%	7%	102	+1.5	243/307/371	128	312	13	3	25%	8%	93	+0.8	242/308/357	115	311	11	0	24%	8%	88	+0.2
✕Leonard Davis 2010 · AAA	26	49→51	51→55	51→50	38	247/284/412	165	314	19	10	28%	4%	93	+0.8	225/263/362	137	294	14	11	28%	4%	74	-0.6	214/248/348	134	278	14	11	28%	3%	62	-0.8
✕Scott Schebler 2017 · MLB	26	46→52	51→60	51→50	42	238/293/406	168	284	18	9	24%	5%	96	+1.0	228/298/405	177	270	22	6	24%	7%	98	+1.2	212/290/383	170	250	22	4	25%	8%	85	+0.2
✕Emmanuel Rivera 2023 · MLB	27	46→56	52→55	48→45	45	239/296/410	171	284	20	6	24%	7%	97	+1.1	245/305/367	122	302	12	5	22%	7%	91	+0.6	249/309/339	90	313	8	4	22%	7%	83	+0.1
✕Travis Ishikawa 2010 · MLB	26	48→49	51→55	45	46	245/307/404	159	306	18	6	26%	8%	101	+1.4	241/308/374	133	308	13	6	24%	8%	93	+0.8	238/309/373	135	313	13	1	27%	8%	89	+0.3
✕Brandon Boggs 2009 · MLB	26	45→48	50→55	50	51	222/307/386	164	297	15	10	29%	10%	96	+1.0	214/301/342	128	301	12	8	30%	10%	84	+0.1	201/294/320	119	283	11	7	30%	11%	75	-0.3
✕Kyle Lewis 2021 · MLB	26	48	51→55	47→40	45	239/306/395	156	332	19	6	32%	9%	97	+1.1	237/313/404	167	312	23	6	30%	10%	103	+1.5	233/309/403	170	296	25	2	29%	9%	98	+0.5
●Brad Miller 2016 · MLB	26	50→57	48→60	50	51	249/315/397	148	294	15	12	21%	9%	101	+1.4	234/313/418	184	290	21	8	26%	10%	105	+1.7	230/323/459	228	279	31	5	28%	11%	116	+1.2
✕Travis Denker 2012 · AAA	26	46→52	49→50	48→45	48	234/296/384	150	273	17	7	21%	7%	91	+0.7	219/281/347	128	273	14	9	24%	7%	78	-0.3	229/306/370	141	260	15	0	18%	8%	92	+0.4
✕Jeff Fiorentino 2008 · MLB	25	48→53	47→50	47→50	46	241/293/369	128	282	15	9	21%	6%	86	+0.3	241/298/350	109	295	10	13	20%	8%	84	+0.1	234/299/341	106	286	8	13	20%	8%	81	-0.0

Career Stats + Projections

Career Comps

Career Path Comps