Jorge Ramirez — OGILVIE

Jorge RamirezC ACL Giants

Age 20 R/R 5'11" / 196 lbs ROK BB -3% Svc 0.0 · Ctrl thru 2037 peak 2.6 · 2033

wRC+†59

AVG/OBP/SLG.204 / .271 / .302

PA47

HR1

K%30

BB%7

MLB%0%

trajectory · 10 yrs

2.6peak

2033

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	Ext / FA-deal	$0.9M	+2.5	$24M	+$23M
2033	Ext / FA-deal	$1.0M	+2.6	$26M	+$25M
2034	Ext / FA-deal	$1.0M	+2.5	$25M	+$24M
2035	Ext / FA-deal	$4M	+2.3	$24M	+$20M
2036	Ext / FA-deal	$6M	+2.0	$22M	+$15M
2037	Ext / FA-deal	$8M	+1.6	$18M	+$10M
Totals		$22M		$138M	+$116M

Career Projections (MLE)

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	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
2023	17	ROK	DSL Giants Orange	79	72	12	1	0	1	6	38	1	1	1	.167	.241	.222	.463	.056	.333	48	8	.228	33	-6	-0	+0	+1	+2	-0.3
2024	18	ROK	DSL Giants Orange	85	74	17	1	1	1	7	29	4	1	2	.230	.329	.311	.640	.081	.364	34	8	.277	70	-3	-1	+0	+2	+2	0.0
2025	19	ROK	ACL Giants	35	32	3	0	0	0	1	18	2	0	0	.094	.171	.094	.265	.000	.214	51	3	.116	-53	-6	+0	+0	+1	+1	-0.5
▸ 2026 Season
2026	20	MLB	SF	47	44	9	2	0	1	3	14	0	1	0	.205	.255	.318	.574	.114	.290	30	6	.262	59	-2	+0	+0	+1	+1	0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	21	MLB 11%	SF	135	121	27	5	1	3	11	39	2	2	1	.223	.299	.355	.654	.132	.292	29	8	.285	76	-4	+0	+0	+2	+4	0.3
2028	22	MLB 28%	SF	275	246	56	10	2	7	24	76	3	5	1	.228	.304	.370	.674	.142	.293	28	9	.298	86	-4	+1	+0	+5	+8	0.9
2029	23	MLB 48%	SF	374	334	75	13	2	10	33	101	4	7	2	.225	.302	.365	.667	.141	.294	27	9	.306	92	-3	+1	+0	+7	+11	1.5
2030	24	MLB 62%	SF	442	394	92	16	3	13	40	117	5	9	2	.234	.312	.388	.700	.155	.295	26	9	.311	96	-2	+1	+0	+8	+13	2.0
2031	25	MLB 80%	SF	481	427	99	17	3	14	45	127	6	10	2	.232	.314	.384	.698	.152	.295	26	9	.315	99	-1	+1	+0	+9	+14	2.3
2032	26	MLB 94%	SF	504	445	104	18	3	15	48	133	6	10	2	.234	.317	.389	.705	.155	.296	26	10	.316	100	+0	+1	+0	+9	+14	2.5
2033	27	MLB	SF	514	453	106	18	3	16	50	136	6	10	2	.234	.318	.393	.711	.159	.296	26	10	.316	100	+0	+1	+0	+9	+15	2.6
2034	28	MLB	SF	516	455	105	18	3	15	50	138	6	9	1	.231	.315	.382	.697	.152	.295	27	10	.315	99	-0	+1	-1	+9	+15	2.5
2035	29	MLB	SF	511	450	104	18	3	15	50	138	6	8	1	.231	.316	.384	.701	.153	.295	27	10	.313	98	-1	+1	-1	+9	+14	2.3
2036	30	MLB	SF	503	443	101	17	3	14	49	137	6	7	1	.228	.313	.375	.688	.147	.293	27	10	.310	95	-3	+1	-2	+9	+14	2.0
2037	31	MLB	SF	476	422	94	16	3	13	46	132	5	4	0	.223	.307	.367	.674	.145	.292	28	10	.306	93	-4	+1	-3	+8	+13	1.6
2038	32	MLB	SF	445	394	87	15	2	12	43	126	5	2	0	.221	.305	.360	.666	.140	.290	28	10	.302	89	-6	+0	-4	+8	+13	1.2
2039	33	MLB	SF	404	358	77	13	2	10	39	117	4	1	0	.215	.299	.346	.646	.131	.289	29	10	.296	85	-7	+0	-4	+7	+11	0.8
2040	34	MLB	SF	351	310	67	11	2	9	34	105	4	0	0	.216	.302	.352	.653	.135	.287	30	10	.290	80	-8	+0	-5	+6	+10	0.3
2041	35	MLB	SF	293	260	55	9	2	7	28	90	3	0	0	.212	.296	.342	.638	.131	.285	31	10	.282	74	-9	+0	-6	+5	+8	-0.1
2042	36	MLB	SF	235	209	42	7	1	5	22	75	2	0	0	.201	.283	.316	.599	.115	.282	32	9	.273	67	-9	+0	-6	+4	+7	-0.4
2043	37	MLB	SF	177	157	30	5	1	3	16	58	2	0	0	.191	.274	.293	.567	.102	.278	33	9	.263	60	-8	+0	-7	+3	+5	-0.7
▸ Career Totals (MLE all levels + projections)
Career	—			6882	6100	1362	230	40	184	645	1944	82	87	18	.223	.306	.365	.671	.141	.294	28	9	.302	89	-84	+10	-38	+123	+195	21.0
/ 162G	—			650	576	129	22	4	17	61	184	8	8	2	.224	.307	.365	.672	.141	.296	28	9	.302	89	-8	+1	-4	+12	+18	2.0

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	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
2023	17	ROK	DSL Giants Orange	79	67	17	2	0	2	11	26	1	1	1	.254	.367	.373	.740	.119	.385	33	14	.341	119	+2	-0	—	—	+2	0.4
2024	18	ROK	DSL Giants Orange	85	70	21	2	1	1	11	20	4	1	2	.300	.424	.400	.824	.100	.408	24	13	.380	149	+5	-1	—	—	+2	0.7
2025	19	ROK	ACL Giants	35	31	4	0	0	0	2	13	2	0	0	.129	.229	.129	.358	.000	.222	37	6	.185	0	-4	+0	—	—	+1	-0.3

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
Jorge Ramirez (OGILVIE)	20	—	—	—	—	.204/.271/.302	.097	.290	1	1	30%	7%	59	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Derek Norris 2009 · A	20	40→50	42→55	49→50	43	.194/.269/.300	.106	.295	9	6	35%	9%	58	-1.2	.209/.301/.372	.163	.281	20	6	31%	11%	91	+1.1	.254/.332/.403	.149	.311	15	5	22%	10%	106	+1.6
✕Eddys Leonard 2021 · A	20	42→46	40→50	46→45	45	.200/.274/.295	.095	.288	7	9	31%	8%	59	-1.1	.227/.293/.378	.151	.302	17	5	29%	7%	89	+0.9	.224/.290/.376	.152	.290	17	4	28%	6%	83	+0.5
●Alex Liddi 2009 · A	20	42→52	40→60	49→50	38	.202/.249/.300	.098	.290	7	9	32%	5%	48	-1.9	.240/.291/.399	.159	.335	16	7	32%	6%	92	+1.2	.241/.296/.424	.182	.336	20	5	33%	6%	99	+1.7
✕Agustín Ramírez 2022 · A	20	37→45	43→55	44→50	39	.188/.245/.301	.113	.275	11	4	34%	6%	47	-1.9	.223/.286/.366	.143	.284	16	11	26%	8%	82	+0.5	.230/.293/.405	.176	.264	22	16	22%	7%	92	+1.1
✕Luis Torrens 2016 · A	20	42→49	38→55	49→30	44	.201/.271/.276	.075	.277	5	5	28%	7%	52	-1.6	.207/.270/.291	.084	.263	6	4	22%	7%	55	-1.4	.228/.285/.376	.148	.288	19	0	27%	7%	82	+0.3
●Chun-Hsiu Chen 2010 · A	21	43→53	41→50	48→45	40	.209/.263/.306	.097	.302	8	6	32%	7%	55	-1.4	.250/.309/.388	.138	.334	12	4	27%	7%	96	+1.5	.256/.318/.393	.137	.347	12	4	28%	8%	99	+1.3
●Dilson Herrera 2014 · A	20	43→53	45→50	49→50	40	.213/.264/.339	.126	.281	12	11	28%	6%	65	-0.7	.248/.297/.383	.135	.313	14	13	24%	6%	90	+1.0	.257/.307/.397	.140	.313	15	13	22%	6%	94	+1.2
✕David Bote 2013 · A	20	43→48	38→55	50→45	43	.200/.271/.286	.086	.293	4	8	31%	8%	54	-1.4	.190/.266/.272	.082	.263	5	6	28%	8%	50	-1.8	.234/.308/.397	.164	.298	19	6	27%	8%	95	+1.0
✕Carter Jensen 2023 · A	20	38→47	43→50	46→50	46	.188/.269/.299	.110	.273	10	7	33%	10%	58	-1.2	.198/.288/.331	.133	.275	13	9	30%	11%	74	-0.1	.206/.294/.357	.151	.275	17	10	30%	11%	81	+0.4
●Bo Naylor 2021 · A	21	41→43	44→55	50	43	.203/.259/.325	.122	.273	11	7	29%	7%	59	-1.1	.199/.278/.352	.153	.276	18	12	33%	9%	75	-0.0	.216/.308/.399	.183	.269	22	12	28%	11%	97	+1.2
✕Samad Taylor 2018 · A	20	45→53	37→50	51→65	41	.213/.268/.288	.076	.300	4	10	29%	6%	53	-1.5	.183/.255/.284	.101	.259	7	22	30%	8%	47	-1.9	.236/.312/.377	.141	.324	16	46	30%	9%	94	+0.8
✕Kyle Higashioka 2010 · A	20	45→43	40→60	49→40	41	.215/.267/.304	.089	.290	7	7	28%	6%	56	-1.3	.191/.240/.293	.102	.234	10	3	23%	5%	43	-2.2	.229/.276/.416	.187	.272	25	4	26%	6%	88	+0.4
●Wilin Rosario 2009 · A	20	42→52	43→60	44→45	37	.209/.253/.314	.105	.295	11	5	32%	5%	53	-1.5	.225/.261/.370	.145	.298	17	4	30%	4%	72	-0.2	.265/.302/.457	.192	.301	26	4	21%	5%	107	+1.6
●Tyler Stephenson 2017 · A	20	41→51	38→50	43→30	39	.197/.249/.277	.080	.290	6	3	33%	6%	42	-2.3	.216/.283/.315	.099	.290	9	3	27%	7%	67	-0.5	.253/.327/.399	.146	.323	16	1	25%	9%	102	+1.3
✕Tucker Mitchell 2022 · A	21	43	39→50	51→45	39	.202/.262/.293	.090	.301	6	7	33%	6%	52	-1.6	.193/.267/.305	.112	.296	13	8	37%	7%	59	-1.1	.178/.253/.291	.113	.253	15	7	34%	7%	47	-0.8
●James McCann 2012 · A	22	41→51	42→50	49→45	39	.203/.260/.306	.103	.288	9	7	32%	6%	55	-1.4	.223/.261/.310	.087	.291	6	6	24%	4%	55	-1.4	.254/.315/.415	.161	.331	20	4	28%	7%	104	+1.1
●Alonzo Harris 2009 · A	20	44→50	45→55	50→60	40	.221/.276/.342	.121	.296	13	11	29%	6%	71	-0.3	.205/.243/.307	.102	.275	11	12	29%	4%	46	-2.0	.240/.296/.401	.161	.286	19	35	22%	7%	92	+0.9
✕Brendan Rodgers 2016 · A	19	43→53	40→50	46→45	39	.205/.255/.298	.093	.301	7	7	33%	6%	50	-1.8	.224/.267/.352	.128	.288	14	5	27%	4%	69	-0.4	.253/.308/.383	.131	.298	13	0	19%	6%	93	+0.8
●Lane Thomas 2016 · A	20	43→51	37→55	51→55	42	.200/.259/.277	.077	.294	3	9	32%	7%	46	-2.0	.194/.260/.302	.108	.313	10	13	38%	8%	54	-1.4	.248/.312/.427	.179	.308	21	13	25%	7%	107	+2.0
●Francisco Cervelli 2007 · A	21	43→53	39→45	50→45	43	.205/.271/.292	.086	.286	6	7	29%	7%	56	-1.3	.237/.314/.327	.090	.313	4	5	24%	7%	83	+0.6	.252/.365/.369	.117	.312	10	4	20%	13%	113	+1.6

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)