Jose Ramos — OGILVIE

Jose RamosSS Eugene Emeralds

Age 23 R/R 5'11" / 143 lbs A+ HR -15%H -3% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION233 act + 21 ros · stats below = ROS only

showingROS

wRC+†65

AVG/OBP/SLG.211 / .286 / .263

PA21

HR0

K%29

BB%10

BABIP276

ISO53

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$6M ctrl surplus

Tools · ContractCON 39 / POW 40

Toolsscout grade

CONTACT39

scouting grade only

POWER40

scouting grade only

EYE64

scouting grade only

SPEED66

scouting grade only

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.9M	+0.3	$0.9M	+$0.3M
2031	Pre-Arb	$0.9M	+0.3	$0.8M	+$0.3M
2032	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2033	Arb-1	$1M	+0.1	$0.2M	+$0.0M (cut)
2034	Arb-2	$1M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$2M	+$0.6M

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)
2021	18	ROK	DSL Giants Black	—	110	98	24	3	4	3	11	24	1	6	3	245	327	449	776	204	296	22	10	342	118	+2	+0	—	—	+2	0.5
2022	19	ROK	DSL Giants Orange	—	181	147	40	11	1	3	29	28	3	22	1	272	402	422	824	150	316	15	16	370	137	+8	+4	—	—	+4	1.6
2023	20	A	San Jose Giants	—	368	318	67	16	5	2	35	87	11	29	4	211	310	311	622	101	280	24	10	286	79	-9	+4	—	—	+8	0.3
2023	20	ROK	ACL Giants Black	—	30	25	4	1	0	0	2	9	2	4	1	160	276	200	476	40	235	30	7	229	41	-2	+0	—	—	+1	-0.1
2024	21	ROK	ACL Giants	—	177	138	39	7	2	1	34	33	2	13	2	283	431	384	815	101	358	19	19	371	137	+8	+2	—	—	+4	1.4
2025	22	A+	Eugene Emeralds	—	91	73	19	2	0	1	14	24	3	6	3	260	400	329	729	68	367	26	15	342	117	+2	+0	—	—	+2	0.4
2025	22	A	San Jose Giants	—	130	107	22	4	1	3	22	29	1	14	0	206	346	346	692	140	253	22	17	321	103	+1	+3	—	—	+3	0.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	18	ROK MLE	DSL Giants Black	—	110	103	17	2	3	2	6	34	1	6	3	165	218	301	519	136	225	31	5	225	38	-8	+0	—	—	+2	-0.6
2022	19	ROK MLE	DSL Giants Orange	—	181	158	30	7	1	2	18	40	3	22	1	190	285	285	570	95	237	22	10	262	63	-8	+4	—	—	+4	0.0
2023	20	A MLE	San Jose Giants	—	368	328	53	12	4	2	25	125	11	29	4	162	245	241	485	79	243	34	7	217	33	-29	+4	—	—	+8	-1.8
2023	20	ROK MLE	ACL Giants Black	—	30	26	3	1	0	0	1	13	2	4	1	115	207	154	361	38	178	43	3	157	-8	-4	+0	—	—	+1	-0.3
2024	21	ROK MLE	ACL Giants	—	177	152	34	6	2	1	20	48	2	13	2	224	322	309	631	86	293	27	11	271	70	-6	+2	—	—	+4	-0.1
2025	22	A+ MLE	Eugene Emeralds	—	91	78	15	1	0	1	9	31	3	6	3	192	300	244	544	51	307	34	10	258	61	-4	+0	—	—	+2	-0.2
2025	22	A MLE	San Jose Giants	—	130	114	17	3	1	2	15	40	1	14	0	149	254	246	499	96	205	31	12	224	38	-10	+3	—	—	+3	-0.4
2021	18	ROK MLE	DSL Giants Black	—	110	103	17	2	3	2	6	34	1	6	3	165	218	301	519	136	224	31	5	225	38	—	—	—	—	—	—
2021	18	ROK RAW	DSL Giants Black	—	110	98	24	3	4	3	11	24	1	6	3	245	327	449	776	204	296	22	10	342	38	—	—	—	—	—	—
2022	19	ROK MLE	DSL Giants Orange	—	181	158	30	7	1	2	18	40	3	22	1	190	285	285	570	95	239	22	10	262	63	—	—	—	—	—	—
2022	19	ROK RAW	DSL Giants Orange	—	181	147	40	11	1	3	29	28	3	22	1	272	402	422	824	150	316	15	16	370	63	—	—	—	—	—	—
2023	20	A MLE	2 teams	—	398	354	56	13	4	2	26	138	13	33	5	158	242	234	476	76	248	35	7	212	30	—	—	—	—	—	—
2023	20	A RAW	2 teams	—	398	343	71	17	5	2	37	96	13	33	5	207	308	303	611	96	277	24	9	281	30	—	—	—	—	—	—
2024	21	ROK MLE	ACL Giants	—	177	152	34	6	2	1	20	48	2	13	2	224	322	309	631	86	314	27	11	271	70	—	—	—	—	—	—
2024	21	ROK RAW	ACL Giants	—	177	138	39	7	2	1	34	33	2	13	2	283	431	384	815	101	358	19	19	371	70	—	—	—	—	—	—
2025	22	A MLE	2 teams	—	221	192	33	4	1	3	24	72	4	20	3	172	277	250	527	78	254	33	11	238	47	—	—	—	—	—	—
2025	22	A RAW	2 teams	—	221	180	41	6	1	4	36	53	4	20	3	228	368	339	707	111	298	24	16	330	47	—	—	—	—	—	—
2021	18	ROK MLE	DSL Giants Black	—	110	102	17	2	3	2	6	34	1	6	3	167	218	304	522	137	225	31	5	225	38	—	—	—	—	—	—
2022	19	ROK MLE	DSL Giants Orange	—	181	158	30	7	1	2	18	40	3	22	1	190	285	285	570	95	237	22	10	262	63	—	—	—	—	—	—
2023	20	A MLE	2 teams	—	398	356	56	13	4	2	26	138	13	33	5	157	242	233	475	76	238	35	7	212	30	—	—	—	—	—	—
2024	21	ROK MLE	ACL Giants	—	177	153	34	6	2	1	20	48	2	13	2	222	322	307	629	85	293	27	11	271	70	—	—	—	—	—	—
2025	22	A MLE	2 teams	—	221	191	33	4	1	3	24	72	4	20	3	173	277	251	529	79	247	33	11	238	47	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	20	A MLE	2 teams	—	398	356	56	13	4	2	26	138	13	33	5	157	242	233	475	76	238	35	7	212	30	—	—	—	—	—	—
2024	21	ROK MLE	ACL Giants	—	177	153	34	6	2	1	20	48	2	13	2	222	322	307	629	85	293	27	11	271	70	—	—	—	—	—	—
2025	22	A MLE	2 teams	—	221	191	33	4	1	3	24	72	4	20	3	173	277	251	529	79	247	33	11	238	47	—	—	—	—	—	—
YTD	23	A+ MLE	SF	—	233	204	43	6	1	3	24	71	2	21	3	211	300	294	594	83	305	30	10	261	63	-10	+3	+0	+2	+5	0.0
▸ 2026 season
YTD	23	ROK RAW	SF	—	49	43	15	2	0	0	6	10	0	7	1	349	429	395	824	47	455	20	12	378	63	—	—	—	—	—	—
YTD	23	A RAW	SF	—	58	49	9	1	1	1	6	16	1	1	0	184	286	306	592	122	250	28	10	264	63	—	—	—	—	—	—
YTD	23	A+ RAW	SF	—	126	99	29	6	0	2	25	25	1	13	2	293	440	414	854	121	370	20	20	389	63	—	—	—	—	—	—
ROS	23	A+ MLE	SF	0%	21	19	4	1	0	0	2	6	0	1	0	211	286	263	549	53	281	29	10	264	65	-1	+0	+0	+0	+0	0.0
TOT	23	A+ MLE	SF	—	254	223	47	7	1	3	26	77	2	22	3	211	299	291	590	81	306	30	10	261	63	-11	+3	+0	+3	+6	0.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	SF	30%	278	246	50	9	1	4	27	79	3	12	2	203	290	297	587	93	283	28	10	275	72	-9	+2	+0	+3	+6	0.1
2028	25	MLB MLE	SF	44%	348	307	65	11	2	6	34	97	4	15	2	212	299	319	618	107	284	28	10	282	77	-9	+2	+0	+4	+8	0.4
2029	26	MLB MLE	SF	51%	394	347	74	13	2	7	39	108	5	18	3	213	302	323	625	110	284	27	10	286	80	-9	+2	+0	+4	+9	0.6
2030	27	MLB MLE	SF	52%	415	366	79	14	2	8	41	114	5	18	3	216	303	331	634	115	284	27	10	287	81	-10	+2	+0	+4	+9	0.6
2031	28	MLB MLE	SF	53%	426	375	80	14	2	8	43	117	5	18	3	213	303	325	628	112	284	27	10	286	80	-10	+2	-1	+5	+9	0.5
2032	29	MLB MLE	SF	53%	425	374	80	14	2	8	43	118	5	17	3	214	303	326	630	112	283	28	10	285	79	-11	+2	-1	+5	+9	0.4
2033	30	MLB MLE	SF	52%	421	370	78	13	2	8	43	118	5	15	2	211	301	322	623	111	282	28	10	282	77	-12	+2	-2	+5	+9	0.2
2034	31	MLB MLE	SF	52%	410	361	75	13	2	7	41	116	5	13	2	208	297	313	610	105	280	28	10	278	74	-12	+2	-3	+4	+9	-0.0
2027	24	MLB CTX	SF	30%	84	75	15	3	0	1	8	24	1	4	1	200	286	280	566	80	278	29	10	261	72	-3	+0	+0	+1	+2	0.0
2028	25	MLB CTX	SF	44%	154	136	28	5	1	2	15	43	2	7	1	206	294	301	596	96	278	28	10	268	77	-4	+1	+0	+2	+3	0.2
2029	26	MLB CTX	SF	51%	200	176	36	6	1	3	20	55	2	9	1	205	293	301	594	97	279	28	10	272	80	-5	+1	+0	+2	+4	0.3
2030	27	MLB CTX	SF	52%	218	191	40	7	1	4	22	60	3	10	2	209	301	319	620	110	279	28	10	273	81	-5	+1	+0	+2	+5	0.3
2031	28	MLB CTX	SF	53%	227	199	41	7	1	4	23	63	3	10	2	206	298	312	609	106	279	28	10	272	80	-5	+1	-0	+2	+5	0.3
2032	29	MLB CTX	SF	53%	223	195	41	7	1	4	23	62	3	9	1	210	303	318	621	108	278	28	10	270	79	-6	+1	-1	+2	+5	0.2
2033	30	MLB CTX	SF	52%	219	192	40	7	1	4	22	61	3	8	1	208	300	318	617	109	277	28	10	268	77	-6	+1	-1	+2	+5	0.1
2034	31	MLB CTX	SF	52%	213	187	37	6	1	3	22	60	2	7	1	198	289	289	578	91	275	28	10	264	74	-6	+1	-1	+2	+5	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1538	1351	278	48	7	25	155	428	19	64	10	206	296	307	604	101	280	28	10	269	70	-40	+9	-4	+16	+33	1.5
/ 162G	—	A+C		—	650	571	118	20	3	11	66	181	8	27	4	207	298	310	608	103	280	28	10	269	70	-17	+4	-2	+7	+14	0.6
Career	—	MLE		—	4225	3724	755	134	26	66	407	1205	60	221	34	203	292	306	597	103	278	29	10	271	70	-84	+17	-7	+34	+68	2.9
/ 162G	—	MLE		—	650	573	116	21	4	10	63	185	9	34	5	202	292	305	597	103	277	28	10	271	70	-17	+4	-1	+7	+14	0.6

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#2Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
#3Yolmer Sánchezlast yr '19 career totals — 6 seasons, 2,438 PA	3.7	2,438	31	30	244	299	357	+9	+26	5.4	5.4
/162	664	8	8	+2.4	+7.2	1.5	pk7: 5
#4Everth Cabreralast yr '15 career totals — 6 seasons, 2,059 PA	3.1	2,059	12	136	247	316	328	+22	-1	5.1	5.1
/162	664	4	44	+7.1	-0.5	1.6	pk7: 5
#5Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
#6Tony Gwynn Jr.last yr '14 career totals — 7 seasons, 1,749 PA	2.6	1,749	7	77	239	310	313	+1	+35	4.1	4.1
/162	664	3	29	+0.5	+13.1	1.6	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	2.3	1,539	28	62	212	298	321	+16	+12	2.6	2.6
/162	664	12	27	+7.1	+5.2	1.1	pk7: 3

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
Jose Ramos (OGILVIE)	23	34→39	35→40	61→66	64	197/287/277	81	281	2	13	29%	10%	65	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jacob Young 2022 · A	23	43→53	38→40	57→60	44	204/256/283	80	261	5	21	23%	6%	53	-2.1	242/303/317	75	307	4	31	21%	6%	78	-0.3	242/306/332	90	291	7	29	18%	7%	81	-0.0
✕Max Ferguson 2023 · A	23	37→34	39→40	63→60	52	176/280/265	89	267	6	32	33%	12%	60	-1.6	181/266/271	90	273	8	28	33%	10%	55	-2.0	178/257/269	91	255	10	28	32%	9%	48	-1.6
✕Wes Rogers 2017 · A	23	46→51	39→40	61→65	45	219/280/306	86	287	5	31	25%	7%	67	-1.1	215/268/302	87	297	6	32	28%	6%	61	-1.5	206/258/288	83	291	6	34	30%	6%	53	-1.4
✕Kenny Wilson 2013 · A	23	42→51	37→40	58→60	43	199/273/270	71	283	4	29	29%	7%	57	-1.8	222/279/307	85	307	5	27	27%	6%	67	-1.1	200/268/290	91	305	7	22	34%	7%	57	-0.7
✕Tyler Tolbert 2021 · A	23	42→49	35→45	58→65	42	194/270/251	58	300	3	21	34%	8%	52	-2.2	192/263/286	94	294	6	38	34%	8%	57	-1.8	227/289/306	79	310	6	60	27%	6%	68	-0.5
✕Roberto Caro 2016 · A	22	44→41	38→40	61→60	48	208/284/299	91	280	3	20	25%	8%	67	-1.1	208/276/283	75	319	2	18	32%	8%	60	-1.6	215/287/293	78	329	2	26	32%	8%	65	-0.6
✕Cooper Bowman 2023 · A	23	38→43	43→45	59→60	43	188/270/295	107	285	11	31	36%	8%	62	-1.4	205/277/320	115	284	11	35	30%	8%	70	-0.9	202/274/318	116	272	11	40	28%	8%	66	-0.7
✕Levi Michael 2014 · A	23	41→51	37→45	55	49	197/274/273	77	262	4	13	25%	9%	58	-1.7	224/291/308	84	296	4	16	24%	7%	72	-0.7	228/294/337	109	315	10	11	29%	5%	77	-0.2
✕Jon Matthews 2014 · A	23	42	38→40	58→60	41	198/263/275	77	278	5	25	29%	6%	54	-2.0	229/296/296	67	312	3	16	25%	8%	70	-0.8	240/310/292	52	324	2	16	24%	8%	72	-0.3
✕Darin Mastroianni 2009 · A	23	42→52	38→40	60	41	201/253/277	76	278	5	22	29%	6%	50	-2.3	248/313/323	75	316	3	35	21%	8%	82	+0.0	257/324/332	75	320	2	38	19%	8%	85	+0.2
✕Braulio Vasquez 2022 · A	23	41	40	55→65	40	192/273/283	91	301	8	31	36%	8%	61	-1.5	219/285/318	99	305	7	26	28%	7%	72	-0.7	228/293/324	96	308	4	32	25%	7%	73	-0.3
✕Clay Fuller 2010 · A	23	43→45	42→45	56→55	45	206/285/313	107	296	9	20	31%	9%	72	-0.7	213/272/326	113	292	12	16	30%	6%	69	-0.9	210/263/325	115	279	14	16	29%	5%	63	-0.8
✕Kristopher Negrón 2009 · A	23	45→50	40→45	57→55	43	218/277/315	97	276	7	19	23%	6%	68	-1.0	223/282/319	96	288	8	20	24%	6%	71	-0.8	226/289/352	126	323	14	14	32%	7%	78	-0.2
✕Adam Engel 2015 · A	23	45→48	40→50	57→60	39	218/270/314	96	297	7	25	28%	5%	65	-1.2	203/261/303	100	293	7	30	31%	6%	59	-1.6	223/283/355	132	299	13	23	29%	5%	77	-0.2
✕Hayden Cantrelle 2022 · AA	23	34	41→40	54→60	55	164/295/260	96	258	8	24	35%	14%	66	-1.1	190/306/293	103	293	8	20	33%	12%	76	-0.4	190/308/293	103	292	8	21	33%	12%	74	-0.3
✕David Kandilas 2014 · A	23	45→44	39→45	55	45	215/276/305	90	284	7	19	26%	7%	65	-1.2	211/272/308	97	279	7	16	25%	7%	65	-1.2	197/260/302	106	254	7	17	24%	6%	56	-1.2
✕Nick Sinay 2017 · A	23	45	36→30	56→60	49	205/317/266	61	285	3	23	26%	9%	75	-0.5	206/321/265	59	291	3	20	28%	8%	77	-0.3	182/323/214	31	272	2	26	28%	7%	65	-0.6
✕Carlos Willoughby 2012 · A	23	46→44	36→40	57→60	48	213/282/285	72	270	2	21	21%	7%	63	-1.4	209/277/282	73	278	3	14	24%	8%	61	-1.5	199/276/253	54	270	0	13	24%	9%	51	-0.9
✕Samad Taylor 2021 · A	23	37→47	41→45	53→65	43	182/258/286	104	274	8	22	34%	8%	55	-1.9	228/299/361	133	324	14	34	32%	8%	87	+0.4	235/311/365	130	323	13	46	29%	9%	92	+0.4
✕Hoy Park 2018 · A	22	43→49	39→45	58→55	46	205/275/296	91	274	6	17	26%	8%	63	-1.3	223/300/306	83	296	5	16	24%	9%	75	-0.5	228/317/324	96	297	8	17	24%	11%	83	+0.0

Career Stats + Projections

Career Comps

Career Path Comps