Justin Ramirez — OGILVIE

Justin RamirezOF FCL Mets

Age 21 L/L 6'3" / 190 lbs ROK H -5% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION46 act + 11 ros · stats below = ROS only

showingROS

wRC+†85

AVG/OBP/SLG.100 / .182 / .100

PA11

HR0

K%27

BB%9

BABIP270

ISO126

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$8M ctrl surplus

Tools · ContractCON 50 / POW 45

Toolsscout grade

CONTACT50

scouting grade only

POWER45

scouting grade only

EYE50

scouting grade only

SPEED55

scouting grade only

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2032
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+0.3	$0.8M	+$0.3M
2033	Pre-Arb	$1.0M	+0.2	$0.5M	+$0.0M
2034	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2035	Arb-1	$0.6M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$2M		$1M	+$0.3M

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)
2023	18	ROK	DSL Mets Blue	—	224	202	52	12	4	6	17	42	5	4	4	257	330	446	776	188	299	19	8	344	119	+5	-1	—	—	+5	0.9
2024	19	ROK	DSL Mets Blue	—	168	133	25	4	1	3	30	44	3	4	5	188	349	301	650	113	250	26	18	307	94	-1	-1	—	—	+4	0.1
2025	20	ROK	DSL Mets Orange	—	179	149	45	7	4	5	25	33	4	11	7	302	416	503	919	201	357	18	14	405	160	+13	-1	—	—	+4	1.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	18	ROK MLE	DSL Mets Blue	—	224	209	36	8	2	5	10	62	5	4	4	172	228	301	529	129	215	28	4	228	40	-16	-1	—	—	+5	-1.2
2024	19	ROK MLE	DSL Mets Blue	—	168	146	18	3	1	2	17	66	3	4	5	123	229	199	428	75	190	39	10	200	22	-16	-1	—	—	+4	-1.4
2025	20	ROK MLE	DSL Mets Orange	—	179	158	34	5	3	4	16	49	4	11	7	215	303	361	664	146	272	27	9	288	81	-4	-1	—	—	+4	-0.1
2023	18	ROK MLE	DSL Mets Blue	—	224	209	36	8	2	5	10	62	5	4	4	172	228	301	529	129	218	28	4	228	40	—	—	—	—	—	—
2023	18	ROK RAW	DSL Mets Blue	—	224	202	52	12	4	6	17	42	5	4	4	257	330	446	776	188	299	19	8	344	40	—	—	—	—	—	—
2024	19	ROK MLE	DSL Mets Blue	—	168	146	18	3	1	2	17	66	3	4	5	123	229	199	428	75	200	39	10	200	22	—	—	—	—	—	—
2024	19	ROK RAW	DSL Mets Blue	—	168	133	25	4	1	3	30	44	3	4	5	188	349	301	650	113	250	26	18	307	22	—	—	—	—	—	—
2025	20	ROK MLE	DSL Mets Orange	—	179	158	34	5	3	4	16	49	4	11	7	215	303	361	664	146	283	27	9	288	81	—	—	—	—	—	—
2025	20	ROK RAW	DSL Mets Orange	—	179	149	45	7	4	5	25	33	4	11	7	302	416	503	919	201	357	18	14	405	81	—	—	—	—	—	—
2023	18	ROK MLE	DSL Mets Blue	—	224	207	36	8	2	5	10	62	5	4	4	174	228	304	532	130	215	28	4	228	40	—	—	—	—	—	—
2024	19	ROK MLE	DSL Mets Blue	—	168	146	18	3	1	2	17	66	3	4	5	123	229	199	428	75	190	39	10	200	22	—	—	—	—	—	—
2025	20	ROK MLE	DSL Mets Orange	—	179	157	34	5	3	4	16	49	4	11	7	217	303	363	666	146	272	27	9	288	81	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	18	ROK MLE	DSL Mets Blue	—	224	207	36	8	2	5	10	62	5	4	4	174	228	304	532	130	215	28	4	228	40	—	—	—	—	—	—
2024	19	ROK MLE	DSL Mets Blue	—	168	146	18	3	1	2	17	66	3	4	5	123	229	199	428	75	190	39	10	200	22	—	—	—	—	—	—
2025	20	ROK MLE	DSL Mets Orange	—	179	157	34	5	3	4	16	49	4	11	7	217	303	363	666	146	272	27	9	288	81	—	—	—	—	—	—
YTD	21	ROK MLE	NYM	—	46	38	9	3	0	1	6	4	1	1	1	237	356	395	750	158	235	9	13	325	106	+0	-0	+0	-0	+1	0.1
▸ 2026 season
YTD	21	ROK RAW	NYM	—	46	34	10	4	0	1	10	3	1	1	1	294	467	500	967	206	290	7	22	423	106	—	—	—	—	—	—
ROS	21	ROK MLE	NYM	0%	11	10	1	0	0	0	1	3	0	0	0	100	182	100	282		277	27	9	293	85	-0	+0	+0	-0	+0	-0.0
TOT	21	ROK MLE	NYM	—	57	48	10	3	0	1	7	7	1	1	1	208	321	333	655	125	220	12	12	319	102	+0	-0	+0	-0	+1	0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	NYM	34%	225	201	45	9	1	5	19	52	3	4	2	224	300	353	654	129	278	23	8	299	88	-3	+0	+0	-1	+5	0.0
2028	23	MLB MLE	NYM	48%	333	298	69	14	2	8	28	75	4	7	3	232	306	372	679	141	280	23	8	303	91	-3	+0	+0	-2	+7	0.2
2029	24	MLB MLE	NYM	53%	408	365	85	17	3	10	35	92	5	8	3	233	309	378	687	145	282	23	9	306	93	-3	+0	+0	-2	+9	0.4
2030	25	MLB MLE	NYM	55%	450	403	94	19	3	11	38	101	6	9	4	233	309	377	686	144	282	22	8	308	94	-3	+0	+0	-3	+10	0.4
2031	26	MLB MLE	NYM	56%	476	426	100	20	3	12	41	107	6	10	4	235	311	380	691	146	282	22	9	308	95	-3	+0	+0	-3	+10	0.5
2032	27	MLB MLE	NYM	55%	487	436	101	20	3	12	42	110	6	10	4	232	308	374	682	142	281	23	9	308	95	-3	+0	+0	-3	+11	0.5
2033	28	MLB MLE	NYM	55%	490	438	101	20	3	12	43	111	6	10	4	231	308	372	680	142	281	23	9	307	94	-4	+0	-1	-3	+11	0.4
2034	29	MLB MLE	NYM	53%	484	432	100	20	3	12	43	111	6	10	4	231	310	375	685	144	280	23	9	305	93	-4	+0	-1	-3	+10	0.2
2035	30	MLB MLE	NYM	53%	477	426	97	19	3	11	42	110	6	9	4	228	306	364	670	136	279	23	9	302	91	-5	+0	-2	-3	+10	0.0
2027	22	MLB CTX	NYM	34%	77	70	15	3	0	2	6	18	1	1	1	214	286	343	629	129	271	23	8	285	88	-1	-0	+0	-0	+2	-0.0
2028	23	MLB CTX	NYM	48%	161	144	33	7	1	4	14	36	2	3	1	229	306	375	681	146	273	22	9	289	91	-2	+0	+0	-1	+3	0.1
2029	24	MLB CTX	NYM	53%	215	192	43	9	1	5	18	48	3	4	2	224	300	359	660	135	274	22	8	292	93	-2	+0	+0	-1	+5	0.2
2030	25	MLB CTX	NYM	55%	246	220	51	10	2	6	21	55	3	5	2	232	307	377	685	145	274	22	9	293	94	-2	+0	+0	-1	+5	0.2
2031	26	MLB CTX	NYM	56%	265	237	55	11	2	7	23	59	3	6	2	232	308	384	692	152	274	22	9	294	95	-2	+0	+0	-2	+6	0.3
2032	27	MLB CTX	NYM	55%	268	240	55	11	2	7	23	60	3	6	2	229	305	379	684	150	274	22	9	294	95	-2	+0	+0	-2	+6	0.3
2033	28	MLB CTX	NYM	55%	268	240	55	11	2	7	23	61	3	6	2	229	305	379	684	150	273	23	9	293	94	-2	+0	-0	-2	+6	0.2
2034	29	MLB CTX	NYM	53%	258	230	51	10	1	6	23	59	3	5	2	222	301	352	653	130	273	23	9	291	93	-2	+0	-1	-2	+6	0.1
2035	30	MLB CTX	NYM	53%	251	224	50	10	1	6	22	58	3	5	2	223	301	357	658	134	271	23	9	288	91	-3	+0	-1	-2	+5	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2009	1797	408	82	12	50	173	454	24	41	16	227	303	370	673	142	275	23	9	292	87	-16	+2	-2	-12	+44	1.5
/ 162G	—	A+C		—	650	581	132	27	4	16	56	147	8	13	5	227	304	370	674	143	276	23	9	292	87	-5	+1	-1	-4	+14	0.5
Career	—	MLE		—	4412	3948	881	174	30	104	375	1049	60	96	48	223	300	361	662	138	276	24	8	297	87	-32	+3	-4	-23	+83	2.7
/ 162G	—	MLE		—	650	582	129	26	4	15	55	155	9	14	7	222	299	357	656	136	275	24	8	297	87	-5	+0	-1	-4	+14	0.5

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Michael 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
#2Tony Kemplast yr '23 career totals — 7 seasons, 2,198 PA	3.3	2,198	35	52	238	326	354	-4	-3	4.3	4.3
/162	664	11	16	-1.3	-0.8	1.3	pk7: 4
#3Dustin 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
#4Chris Heiseylast yr '17 career totals — 8 seasons, 1,758 PA	2.6	1,758	62	25	238	296	413	-18	+3	3.0	3.2
/162	664	23	9	-6.7	+1.0	1.1	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.3	2,159	53	44	232	305	375	-13	+0	2.8	2.7
/162	664	16	14	-4.0	+0.0	0.9	pk7: 3
#5Travis Sniderlast yr '15 career totals — 8 seasons, 1,971 PA	3.0	1,971	54	22	244	311	399	-21	-17	1.4	1.8
/162	664	18	7	-7.1	-5.8	0.5	pk7: 2
#6Jake Cavelast yr '24 career totals — 7 seasons, 1,564 PA	2.4	1,564	45	13	236	292	400	-11	-6	1.3	1.3
/162	664	19	6	-4.5	-2.5	0.6	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
Justin Ramirez (OGILVIE)	21	50	45	55	50	223/296/350	127	277	3	3	23%	8%	85	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Dwight Smith Jr. 2015 · A	22	50→53	42→45	53→50	49	241/300/351	109	293	8	12	20%	8%	84	+0.2	239/290/342	103	290	8	9	19%	6%	78	-0.3	243/304/370	127	291	12	9	20%	7%	89	+0.4
✕Nicky Delmonico 2013 · A	21	41→47	47→50	50→45	46	212/280/346	134	259	15	8	25%	8%	77	-0.3	208/273/343	135	283	14	7	30%	7%	74	-0.6	230/299/381	151	284	16	4	24%	8%	89	+0.4
✕Erik Komatsu 2009 · A	21	45→55	46→45	48→50	45	227/279/361	134	265	14	7	20%	6%	80	-0.2	244/307/350	106	291	8	12	18%	7%	87	+0.4	260/327/355	95	300	6	17	15%	8%	94	+0.6
✕Andrew Toles 2013 · A	21	43→53	45	51→60	38	218/253/346	128	271	12	13	25%	4%	65	-1.2	243/273/340	97	327	4	28	26%	3%	71	-0.8	278/315/421	143	341	12	14	22%	4%	102	+0.7
✕Carlos Vidal 2017 · A	21	48	43→45	49→50	48	234/302/348	114	288	10	12	22%	7%	85	+0.2	231/279/321	90	301	5	7	24%	6%	70	-0.9	236/282/326	90	306	4	6	23%	5%	69	-0.5
✕Akil Baddoo 2019 · A	20	42→52	43→50	56→55	47	203/279/323	120	288	8	13	30%	9%	71	-0.8	213/282/343	130	314	11	16	33%	9%	76	-0.4	236/319/383	147	308	15	24	26%	11%	96	+0.7
●Domonic Brown 2009 · A	21	51→54	41→50	51→55	48	245/304/346	101	299	9	14	20%	7%	85	+0.2	252/311/396	144	315	14	18	23%	8%	99	+1.3	252/317/406	154	312	16	20	23%	8%	103	+1.1
✕Troy Montgomery 2017 · A	22	46→55	43→40	50	44	225/286/341	115	295	10	12	26%	7%	78	-0.3	230/296/326	96	310	7	13	26%	8%	77	-0.3	238/308/327	90	320	6	14	25%	9%	79	-0.1
✕Caleb Gindl 2010 · A	21	49→54	47→50	50	44	238/297/374	135	325	14	11	30%	8%	89	+0.5	240/298/361	121	300	11	8	23%	7%	86	+0.3	237/294/370	133	295	13	4	23%	7%	84	+0.1
✕Shed Long Jr. 2017 · A	21	47→49	44→50	51→50	42	227/284/347	121	310	11	11	30%	7%	78	-0.3	234/294/372	138	318	14	11	29%	7%	88	+0.4	234/295/378	144	313	15	11	29%	7%	86	+0.3
✕Ramón Flores 2013 · A	21	49→57	40→45	51→50	45	236/288/334	98	297	7	12	22%	6%	76	-0.4	233/293/336	103	286	7	8	20%	8%	78	-0.3	248/322/344	96	296	8	8	18%	9%	88	+0.3
✕Forrest Wall 2017 · A	21	46→55	40→45	52→70	43	221/273/315	93	287	7	17	25%	6%	66	-1.1	217/273/317	100	295	8	19	28%	6%	67	-1.1	253/326/354	101	349	8	50	27%	9%	92	+0.5
✕Jordan Schafer 2008 · A	21	48→54	45→50	49→65	39	232/272/366	134	315	11	13	29%	5%	78	-0.3	222/284/341	119	312	10	14	30%	8%	76	-0.4	215/294/295	80	290	5	53	26%	10%	65	-0.6
✕Yohendrick Pinango 2023 · A	21	45→51	42→45	52→50	41	221/259/324	103	273	10	9	23%	5%	63	-1.4	208/263/312	104	263	10	10	24%	7%	62	-1.4	213/280/338	125	272	13	7	26%	8%	73	-0.5
✕Drew Vettleson 2012 · A	21	44→50	44→45	53→50	42	218/273/335	118	292	11	15	29%	7%	71	-0.8	223/269/331	108	303	9	9	28%	6%	68	-1.0	221/265/330	109	299	9	7	28%	5%	65	-0.9
✕Sam Hilliard 2016 · A	22	46→47	44→55	54→55	45	221/283/350	129	308	10	11	30%	8%	78	-0.3	210/262/317	107	334	10	18	38%	6%	63	-1.4	203/279/378	175	281	20	18	34%	9%	82	+0.0
●TJ Friedl 2017 · A	21	48→54	42→50	51→55	42	229/286/340	110	309	8	11	27%	6%	77	-0.3	227/295/326	99	297	6	15	24%	7%	78	-0.3	249/340/389	140	279	15	18	16%	10%	106	+1.6
✕Trevor Larnach 2019 · A	22	48→54	45→55	51→45	47	235/297/362	127	294	11	7	24%	8%	86	+0.3	237/302/353	116	343	11	4	32%	8%	86	+0.3	255/334/414	159	301	19	4	21%	10%	110	+1.6
✕Cody Freeman 2022 · A	21	43→53	41→50	53→50	48	209/283/307	98	259	8	11	22%	8%	70	-0.9	206/261/321	115	251	13	9	23%	6%	63	-1.3	248/292/385	137	277	15	10	16%	5%	89	+0.4
✕Juan Perez 2013 · A	21	46→51	42→45	52→55	45	221/277/336	115	271	8	14	22%	6%	73	-0.6	210/251/312	102	271	8	17	25%	5%	57	-1.8	223/266/335	112	289	12	24	27%	5%	66	-0.7

Career Stats + Projections

Career Comps

Career Path Comps