Brett Baty — OGILVIE

Brett Baty3B New York Mets

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

2026 ROS PROJECTION328 act + 218 ros · stats below = ROS only

wRC+†vL 6182vR 91

AVG/OBP/SLG.225 / .300 / .348

PA218

HR6

K%26

BB%9

BABIP284

ISO123

MLB%100%

Value2026 · WAR

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

Tools · Splits · ContractCON 50 / POW 55

Toolsscout grade · Statcast %ile · 2024-2026

CONTACT50

Whiff%

867.2%

xwOBA

560.315

POWER55

Barrel%

6210.0

Avg EV

5689.5

Bat Spd

8374.8

EYE50

Chase%

9019.5%

SPEED50

Sprint

3726.9

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	$0.3M	—	—	—
2027	Arb-2	$3M	+0.7	$3M	+$0.3M
2028	Arb-3	$3M	+0.6	$2M	+$0.0M (cut)
2029	Arb-4	$3M	+0.4	$1M	+$0.0M (cut)
Totals		$3M		$5M	-$0.7M

Career Stats + Projections

Viewactual = stats as recorded (prior seasons combined) + projected real-world MLB lines · MLE = level/park-neutral translations

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
2019	19	ROK	GCL Mets	—	25	22	5	2	0	1	3	9	0	0	0	227	320	455	775	227	333	36	12	329	110	—	—	—	—	—	—
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	230	—	—	—	—	—	—
2021	21	A+	3 teams	—	487	438	116	26	1	14	40	155	5	7	3	265	333	425	758	160	374	32	8	327	109	—	—	—	—	—	—
2021	21	A+	3 teams	—	487	421	123	27	2	13	57	129	5	7	3	292	383	458	841	166	389	26	12	373	144	—	—	—	—	—	—
2022	22	AA	3 teams	—	462	420	122	20	0	24	32	138	10	2	4	290	355	510	865	219	380	30	7	367	139	—	—	—	—	—	—
2022	22	AA	3 teams	—	462	400	121	22	0	21	51	112	10	2	4	302	394	515	909	213	375	24	11	401	165	—	—	—	—	—	—
2023	23	MLB	2 teams	—	510	464	102	16	0	17	41	147	2	4	2	220	286	364	650	144	281	29	8	287	78	-13	+0	-2	+2	+14	0.2
2023	23	MLB	2 teams	—	510	457	106	16	0	19	45	138	2	4	2	232	302	392	693	160	288	27	9	308	94	-3	+0	-2	+2	+14	1.1
2024	24	AAA	2 teams	—	440	390	85	12	0	16	42	115	4	1	0	218	300	372	672	154	263	26	10	292	82	—	—	—	—	—	—
2024	24	AAA	2 teams	—	440	383	93	13	0	20	49	99	4	1	0	243	335	433	768	191	273	22	11	340	119	—	—	—	—	—	—
2025	25	MLB	New York Mets	—	432	394	100	13	2	18	33	108	2	8	0	254	315	434	749	180	303	25	8	327	108	+4	+2	+2	+2	+12	2.2
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	111	+5	+2	+2	+2	+12	2.3
▸ 2026 Season (ACT · ROS-MLE · ROS-CTX · FULL)
YTD	26	MLB	NYM	—	328	291	64	13	1	4	30	89	3	5	1	220	299	313	612	93	297	27	9	276	69	-11	+1	-3	-4	+9	-0.8
YTD	26	MLB	NYM	—	328	290	64	13	1	4	30	89	3	5	1	221	299	314	613	93	299	27	9	279	71	-11	+1	-3	-4	+9	-0.7
ROS	26	MLB	NYM	100%	218	195	44	6	0	6	19	57	2	3	1	225	300	348	648	123	288	26	9	294	83	-4	+0	+0	+1	+6	0.3
ROS	26	MLB	NYM	100%	219	196	44	6	0	6	19	57	2	3	1	224	300	347	646	122	288	26	9	289	79	-5	+0	+0	+1	+6	0.2
FULL	26	MLB	NYM	—	547	487	108	19	1	10	49	146	5	8	2	222	299	326	626	105	292	27	9	281	73	-17	+1	-2	-3	+15	-0.6
TOT	26	MLB	NYM	—	546	486	108	19	1	10	49	146	5	8	2	222	300	327	626	105	292	27	9	283	75	-16	+1	-2	-3	+15	-0.4
▸ 2027+ Projections WITH CONTEXT · MLB TIME ONLY ⓘPARK-NEUTRAL MLE · ALL-LEVEL PT ⓘ
2027	27	MLB	NYM	98%	478	429	98	14	1	13	42	125	4	7	2	228	303	357	660	128	287	26	9	294	83	-9	+1	+0	+2	+14	0.7
2028	28	MLB	NYM	98%	471	422	95	13	1	12	42	124	4	6	2	225	301	346	647	121	286	26	9	292	82	-10	+0	-0	+2	+13	0.6
2029	29	MLB	NYM	98%	459	412	93	13	1	12	41	122	3	6	1	226	300	350	650	124	285	27	9	290	80	-10	+1	-1	+2	+13	0.4
2030	30	MLB	NYM	98%	448	402	89	12	1	11	40	120	3	5	1	221	297	338	635	117	283	27	9	287	78	-11	+1	-2	+2	+13	0.2
2027	27	MLB	NYM	98%	468	420	94	13	1	12	41	123	4	7	2	224	299	345	644	121	287	26	9	288	78	-11	+1	+0	+2	+13	0.5
2028	28	MLB	NYM	98%	462	415	93	13	1	12	41	122	3	6	2	224	298	347	645	123	286	26	9	287	78	-12	+0	-0	+2	+13	0.3
2029	29	MLB	NYM	98%	450	404	90	12	1	12	40	120	3	6	1	223	298	347	644	124	285	27	9	285	76	-12	+1	-1	+2	+13	0.2
2030	30	MLB	NYM	98%	439	394	88	12	1	11	39	118	3	5	1	223	298	343	641	119	283	27	9	282	74	-13	+1	-2	+2	+12	-0.0
▸ Career Totals
Career	—			—	3072	2766	626	84	6	86	260	807	21	37	7	226	297	354	651	128	286	26	8	290	80	-70	+5	-1	+14	+87	3.5
/ 162G	—			—	650	585	132	18	1	18	55	171	4	8	1	226	296	352	648	126	286	26	8	290	80	-15	+1	-0	+3	+18	0.8
Career	—			—	4430	3988	949	147	7	144	375	1220	39	49	16	238	310	387	696	149	304	28	8	306	93	-36	+3	-1	+16	+126	11.0
/ 162G	—			—	650	585	140	22	1	21	55	179	6	7	2	239	311	388	699	149	307	28	8	306	93	-5	+1	-0	+2	+18	1.6

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

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
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	230	+4	+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	128	+6	+0	—	—	+5	1.1
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	165	+15	-0	—	—	+6	2.1
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	126	+3	+0	—	—	+3	0.6
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	55	-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	154	+2	-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	178	+35	-1	—	—	+11	4.6
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	64	-16	+0	-2	+2	+11	-0.4
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	190	+12	-0	—	—	+3	1.6
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	79	-4	+0	+2	+2	+5	0.5
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	144	+13	+0	—	—	+8	2.1
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	111	+5	+2	+2	+2	+12	2.3
▸ 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	86	-17	+2	+2	+7	+29	2.3

Career Comps

Retired MLB careers whose totals most resemble what we're projecting for this player. Top row of each card is career totals; bottom row is per-162-game rates. Pool: 727 completed hitter careers (2000-2024).

PLAYER · career totals + /162 games	YRS	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Luis Valbuenalast yr '18 career totals — 10 seasons, 3,527 PA	10	3,527	113	10	226	311	395	+13	+1	10.5	11.2
	/162	664	21	2	226	311	395	+2.4	+0.1	2.0	pk7: 12
#2Sean Rodríguezlast yr '19 career totals — 11 seasons, 2,871 PA	11	2,871	79	42	226	302	380	+10	+16	8.1	8.5
	/162	664	18	10	226	302	380	+2.3	+3.7	1.9	pk7: 9
#3Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	10	3,764	80	34	237	301	368	+13	+19	8.2	8.4
	/162	664	14	6	237	301	368	+2.4	+3.4	1.4	pk7: 9
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	9	3,679	101	46	229	298	359	+13	+2	5.6	5.6
	/162	664	18	8	229	298	359	+2.4	+0.3	1.0	pk7: 6
#4Chris Owingslast yr '22 career totals — 9 seasons, 2,420 PA	9	2,420	35	78	239	286	365	+13	-0	3.7	4.5
	/162	664	10	21	239	286	365	+3.6	-0.1	1.0	pk7: 5
#5Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	6	2,347	46	31	241	304	367	-5	+7	3.8	3.8
	/162	664	13	9	241	304	367	-1.3	+1.9	1.1	pk7: 4
#6Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	6	1,633	40	33	232	299	363	+6	-14	0.9	0.9
	/162	664	16	13	232	299	363	+2.4	-5.8	0.4	pk7: 1

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	222/300/327	105	292	10	8	27%	9%	75	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Shed Long Jr. 2022 · MLB	26	44→47	50	49→50	45	225/285/378	153	293	17	9	29%	8%	84	+0.6	224/292/350	126	317	12	10	31%	8%	79	+0.3	191/272/253	61	319	0	9	36%	9%	42	-0.4
✕Ryan McMahon 2020 · MLB	25	45→55	49→55	48→45	46	226/292/374	149	298	17	7	29%	8%	86	+0.8	214/292/364	150	277	18	6	28%	10%	84	+0.6	209/295/353	144	270	17	6	28%	10%	80	+0.3
✕Jeff Fiorentino 2008 · MLB	25	48→53	48→50	47→50	46	242/293/379	137	284	17	9	22%	6%	88	+0.9	243/300/360	117	296	11	13	21%	8%	85	+0.7	239/304/357	118	289	10	13	20%	8%	85	+0.5
●Jackie Bradley Jr. 2016 · MLB	26	49→54	47→55	48→50	46	238/304/382	143	302	13	9	25%	8%	93	+1.3	245/322/423	178	298	19	10	23%	9%	111	+2.5	239/322/418	179	290	19	12	24%	9%	105	+2.0
✕Andy Parrino 2012 · MLB	26	48→51	48→50	48→45	46	234/307/381	147	312	15	7	29%	8%	95	+1.4	217/285/317	100	300	8	7	28%	8%	68	-0.5	219/276/301	82	312	7	4	30%	7%	56	-0.7
✕Jake Alu 2023 · AAA	26	51→53	50	51→50	43	253/302/413	160	312	16	13	24%	6%	101	+1.8	233/286/340	107	284	10	17	20%	6%	74	-0.1	224/279/303	80	271	7	21	19%	7%	60	-0.7
✕Jordan Danks 2013 · MLB	26	49	46→50	52→50	45	237/300/371	134	325	14	15	30%	8%	89	+0.9	235/299/360	125	328	14	11	31%	8%	85	+0.7	227/289/336	109	320	13	9	31%	7%	72	-0.1
✕Kevin Melillo 2008 · AAA	26	47→51	46→50	47→50	48	232/297/371	139	291	13	11	24%	8%	87	+0.8	218/280/353	135	268	13	7	23%	8%	76	+0.0	218/282/340	122	253	11	9	18%	8%	73	-0.1
✕Matt Thaiss 2021 · MLB	26	42→50	50→55	48→45	50	217/288/374	157	261	18	5	25%	9%	85	+0.7	233/307/396	163	291	20	6	26%	9%	98	+1.6	228/309/386	157	285	19	5	26%	9%	94	+0.9
●Zach McKinstry 2021 · AAA	26	47→54	51→55	45→55	43	236/292/396	160	301	18	8	28%	6%	92	+1.2	238/299/398	160	293	17	11	24%	7%	95	+1.4	243/315/392	149	299	12	23	22%	8%	98	+1.2
✕David Dahl 2020 · MLB	26	48→54	52→55	46→55	43	243/295/413	171	305	18	8	27%	6%	98	+1.6	238/287/377	139	304	14	7	25%	6%	85	+0.7	237/289/389	152	296	17	6	25%	7%	85	+0.4
✕David Bote 2019 · MLB	26	46→48	51→55	45	43	235/293/396	161	297	18	7	27%	6%	92	+1.2	228/311/388	160	289	19	7	26%	10%	98	+1.6	217/313/368	151	268	18	5	25%	11%	90	+0.5
●Bryson Stott 2023 · MLB	25	48→56	46→45	50→55	48	236/298/365	128	293	13	13	24%	8%	85	+0.7	252/314/378	126	291	13	25	17%	8%	96	+1.5	254/320/377	123	288	13	29	16%	8%	95	+1.4
✕Hoy Park 2022 · MLB	26	47→49	46→45	50→55	52	232/315/362	130	299	13	15	26%	10%	93	+1.3	217/298/335	118	295	12	17	28%	10%	79	+0.3	210/295/313	103	288	11	19	29%	10%	69	-0.3
✕Luis Liberato 2022 · AAA	26	50→51	48→55	52→50	41	248/291/388	140	327	15	7	29%	6%	89	+0.9	212/277/349	137	303	14	10	33%	8%	73	-0.1	197/268/327	130	284	13	11	33%	9%	62	-0.5
✕Daniel Johnson 2021 · AAA	26	48→50	51→55	50→55	40	244/291/416	171	312	18	14	28%	5%	96	+1.5	214/269/373	159	296	20	12	33%	6%	76	+0.1	234/288/409	175	280	23	21	25%	6%	91	+0.8
✕Brandon Boggs 2009 · MLB	26	45→48	50→55	50	50	223/307/391	169	298	16	10	30%	10%	97	+1.5	212/299/341	129	298	12	8	30%	11%	81	+0.4	202/290/327	126	278	11	5	29%	10%	71	-0.2
✕Nicky Delmonico 2018 · MLB	26	47	50→55	48→45	47	237/300/395	158	288	17	6	24%	8%	95	+1.4	226/295/367	141	284	14	6	25%	8%	85	+0.7	217/292/360	143	280	13	2	26%	8%	81	+0.2
●Troy Johnston 2023 · AAA	26	46→49	45→55	50→55	45	227/291/351	124	291	13	5	26%	7%	80	+0.4	238/298/392	154	291	16	17	24%	6%	93	+1.3	237/298/400	162	284	18	23	23%	6%	92	+1.1
●Scott Moore 2010 · MLB	26	42→51	50→55	48→50	42	217/277/372	155	269	17	7	26%	6%	80	+0.4	229/288/365	136	281	15	7	24%	6%	82	+0.5	235/301/375	139	291	15	5	24%	7%	87	+0.6