Heliot Ramos — OGILVIE

Heliot RamosLF San Francisco Giants

Age 26 R/R 5'11" / 235 lbs MLB BB -3% Svc 2.599S2 · Ctrl thru 2029 peak 1.6 · 2027

wRC+†vL 149109vR 89

AVG/OBP/SLG.258 / .326 / .432

PA695

HR26

SB6

K%24

BB%7

MLB%100%

Scouting · now → future

HIT

50→50

PWR

55→55

SPD

50→50

EYE

47↘45

trajectory · 10 yrs

2.7peak

2026

Contract

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

Status Pre-Arb SUPER-2

MLB Debut 2022

Service 2.599 yrs.days

Team Control Through 2029

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Arb-1	$0.8M	+1.2	$10M	+$9M
2027	Arb-2	$3M	+1.6	$13M	+$10M
2028	Arb-3	$5M	+1.4	$12M	+$7M
2029	Arb-4	$6M	+1.1	$10M	+$3M
Totals		$16M		$44M	+$29M

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
2017	17	ROK	AZL Giants	151	142	32	7	4	4	6	69	3	10	2	.225	.272	.415	.687	.190	.406	46	4	.281	73	-5	+1	+0	-2	+4	-0.1
2018	18	A	2 teams	603	565	107	21	4	10	22	203	14	8	7	.189	.238	.294	.532	.104	.275	34	4	.229	33	-45	-1	+0	-6	+17	-3.7
2019	19	A+	3 teams	516	467	106	21	1	17	34	185	10	9	11	.227	.294	.385	.679	.158	.330	36	7	.293	83	-10	-3	+0	-6	+15	-0.4
2021	21	AA	2 teams	495	464	98	20	3	12	27	174	4	15	4	.211	.261	.345	.605	.134	.309	35	5	.263	59	-23	+1	+0	-5	+14	-1.3
2022	22	AAA	2 teams	497	460	84	13	1	8	30	152	7	6	6	.183	.243	.267	.511	.085	.253	31	6	.231	35	-37	-1	-2	-5	+14	-3.1
2023	23	AAA	4 teams	454	409	98	24	3	15	33	138	8	10	7	.240	.309	.423	.732	.183	.320	30	7	.318	102	+1	-1	+0	-5	+13	0.9
2024	24	MLB	2 teams	652	595	158	24	4	31	48	180	4	8	1	.266	.325	.476	.800	.210	.326	28	7	.345	122	+16	+1	-5	+2	+18	3.4
2025	25	MLB	San Francisco Giants	695	620	160	24	1	21	52	158	17	6	4	.258	.332	.402	.734	.144	.311	23	7	.326	107	+6	-0	-12	-7	+20	0.6
▸ 2026 Season (actual · ROS · total)
2026	26	MLB	San Francisco Giants	92	87	23	4	0	2	5	29	0	0	0	.264	.304	.379	.684	.115	.375	32	5	.295	84	-2	+0	-1	-1	+3	-0.1
ROS	26	MLB	SF	603	547	143	23	2	21	43	155	8	6	1	.261	.324	.426	.750	.165	.325	26	7	.333	113	+9	+1	-7	-6	+17	1.3
TOT	26	MLB	SF	695	634	166	27	2	23	48	184	8	6	1	.262	.322	.420	.741	.158	.333	26	7	.328	109	+7	+1	-8	-7	+20	1.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	27	MLB	SF	690	625	164	26	2	25	50	138	10	6	1	.262	.327	.430	.757	.168	.296	20	7	.333	113	+10	+1	-8	-7	+20	1.5
2028	28	MLB	SF	682	618	160	25	2	24	50	137	9	5	1	.259	.323	.422	.746	.163	.296	20	7	.332	112	+9	+1	-9	-7	+19	1.3
2029	29	MLB	SF	670	607	157	25	2	23	49	137	9	4	0	.259	.323	.420	.743	.161	.295	20	7	.330	110	+8	+1	-10	-7	+19	1.1
2030	30	MLB	SF	658	596	152	24	2	22	48	137	9	2	0	.255	.320	.413	.733	.158	.294	21	7	.327	108	+6	+0	-10	-7	+19	0.8
2031	31	MLB	SF	643	582	146	23	1	21	47	136	9	0	0	.251	.317	.402	.719	.151	.293	21	7	.323	105	+4	+0	-11	-7	+18	0.5
2032	32	MLB	SF	624	565	141	22	1	20	46	135	8	0	0	.250	.315	.398	.713	.149	.292	22	7	.318	102	+1	+0	-11	-7	+18	0.1
2033	33	MLB	SF	594	538	131	20	1	18	43	133	8	0	0	.243	.309	.385	.694	.141	.290	22	7	.312	97	-2	+0	-11	-6	+17	-0.3
2034	34	MLB	SF	545	494	119	18	1	16	39	127	7	0	0	.241	.306	.379	.684	.138	.289	23	7	.306	92	-5	+0	-12	-6	+15	-0.7
2035	35	MLB	SF	488	444	104	15	1	14	35	118	6	0	0	.234	.299	.367	.666	.133	.286	24	7	.298	86	-8	+0	-12	-5	+14	-1.1
▸ Career Totals (MLE all levels + projections)
Career	—			10260	9338	2260	375	36	322	702	2612	150	95	45	.242	.305	.393	.699	.151	.300	25	7	.309	94	-64	+1	-119	-101	+291	0.8
/ 162G	—			650	592	143	24	2	20	44	165	10	6	3	.242	.305	.390	.695	.149	.300	25	7	.309	94	-4	+0	-8	-6	+18	0.0

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
2017	17	ROK	AZL Giants	151	138	48	11	6	6	10	48	3	10	2	.348	.404	.645	1.049	.297	.500	32	7	.451	203	+18	+1	—	—	+4	2.4
2018	18	A	Augusta GreenJackets	535	485	119	24	8	11	35	136	13	8	7	.245	.313	.396	.709	.151	.319	25	7	.317	100	+0	-1	—	—	+15	1.5
2018	18	INTL	Cangrejeros de Santurce	68	66	17	7	1	1	1	15	1	0	0	.258	.279	.439	.719	.182	.320	22	1	.314	99	-0	+0	—	—	+2	0.2
2019	19	AA	Richmond Flying Squirrels	106	95	23	6	1	3	10	33	1	2	3	.242	.321	.421	.742	.179	.339	31	9	.331	111	+1	-1	—	—	+3	0.4
2019	19	A+	San Jose Giants	338	294	90	18	0	13	32	85	8	6	7	.306	.389	.500	.889	.194	.385	25	9	.390	156	+22	-2	—	—	+10	3.0
2019	19	INTL	Scottsdale Scorpions	72	65	12	2	0	1	5	23	1	1	1	.185	.254	.262	.515	.077	.262	32	7	.236	39	-5	-0	—	—	+2	-0.3
2021	21	AAA	Sacramento River Cats	229	213	58	11	2	4	15	65	1	8	2	.272	.323	.399	.722	.127	.375	28	7	.323	105	+1	+1	—	—	+6	0.9
2021	21	AA	Richmond Flying Squirrels	266	236	56	14	1	10	27	73	3	7	2	.237	.323	.432	.756	.195	.301	27	10	.336	116	+5	+1	—	—	+8	1.3
2022	22	MLB	San Francisco Giants	22	20	2	0	0	0	2	6	0	0	0	.100	.182	.100	.282	.000	.143	27	9	.146	-30	-3	+0	-2	-5	+1	-1.0
2022	22	AAA	Sacramento River Cats	475	427	97	17	1	11	41	112	7	6	6	.227	.305	.349	.654	.122	.283	24	9	.298	86	-7	-1	—	—	+13	0.5
2023	23	MLB	San Francisco Giants	60	56	10	4	0	1	4	20	0	0	0	.179	.233	.304	.537	.125	.257	33	7	.242	44	-4	+0	+0	-5	+2	-0.7
2023	23	AAA	Sacramento River Cats	263	227	68	14	3	12	27	66	5	9	4	.300	.386	.546	.932	.247	.368	25	10	.402	165	+19	+0	—	—	+7	2.8
2023	23	A	San Jose Giants	19	17	6	3	0	2	2	4	0	0	1	.353	.421	.882	1.303	.529	.364	21	11	.543	274	+4	-0	—	—	+1	0.4
2023	23	INTL	Puerto Rico	112	98	22	5	3	1	11	28	3	1	2	.224	.321	.367	.689	.143	.304	25	10	.312	97	-0	-1	—	—	+3	0.2
2024	24	MLB	San Francisco Giants	518	475	128	23	3	22	37	135	2	6	1	.269	.325	.469	.794	.200	.329	26	7	.347	124	+14	+1	-5	+2	+15	2.7
2024	24	AAA	Sacramento River Cats	134	115	34	3	2	8	16	37	2	2	0	.296	.391	.565	.956	.270	.366	28	12	.413	174	+11	+0	—	—	+4	1.6
2025	25	MLB	San Francisco Giants	695	620	159	24	1	21	52	158	17	6	4	.256	.331	.400	.731	.144	.309	23	7	.327	108	+7	-0	-12	-7	+20	0.7
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			1295	1171	299	51	4	44	95	319	19	12	5	.255	.321	.418	.740	.163	.312	25	7	.328	109	+13	+0	-18	-15	+37	1.8

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
Heliot Ramos (OGILVIE)	26	50	55	50	45	.259/.322/.424	.164	.296	25	7	20%	7%	113	+3.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jordan Luplow 2020 · MLB	26	48→47	55→65	46→50	50	.250/.323/.440	.190	.290	22	9	22%	9%	116	+2.8	.229/.321/.438	.209	.269	25	8	24%	11%	115	+2.8	.196/.295/.398	.202	.217	28	7	25%	11%	90	+0.5
✕Ryan Shealy 2007 · MLB	27	50→55	55	48→40	46	.261/.317/.451	.190	.301	23	5	22%	7%	117	+2.9	.242/.307/.406	.164	.296	21	3	25%	7%	101	+1.8	.227/.306/.404	.177	.281	23	0	27%	9%	98	+0.9
✕Bryan De La Cruz 2023 · MLB	26	52→55	52→55	45	42	.261/.306/.430	.169	.322	20	6	26%	6%	107	+2.2	.241/.286/.393	.152	.300	19	6	26%	6%	89	+0.9	.229/.275/.367	.138	.287	18	6	27%	6%	75	-0.0
●Scott Hairston 2006 · MLB	26	46→51	56→60	49→50	44	.242/.294/.433	.191	.280	24	7	24%	6%	102	+1.9	.249/.311/.447	.198	.287	25	6	22%	8%	114	+2.7	.249/.315/.457	.208	.283	26	4	22%	8%	114	+1.7
✕Emmanuel Rivera 2023 · MLB	27	47→56	54→55	49→45	45	.244/.299/.427	.183	.288	22	6	24%	7%	103	+1.9	.248/.306/.378	.130	.305	13	5	22%	7%	92	+1.2	.252/.311/.342	.090	.317	7	4	22%	7%	83	+0.3
✕Brett Lawrie 2016 · MLB	26	49→56	51→55	45→55	44	.252/.301/.407	.156	.290	19	7	21%	6%	98	+1.6	.251/.306/.411	.160	.318	19	9	26%	7%	102	+1.8	.248/.310/.409	.161	.326	18	11	28%	7%	98	+1.1
✕Johan Camargo 2021 · MLB	27	49→53	53→55	46→45	48	.253/.313/.428	.175	.294	20	3	22%	8%	109	+2.4	.244/.301/.388	.144	.288	17	3	21%	7%	93	+1.3	.239/.301/.368	.128	.281	16	0	20%	8%	85	+0.4
●Miguel Andujar 2021 · MLB	26	52→58	53→60	47→45	45	.265/.303/.446	.180	.289	20	4	17%	5%	109	+2.4	.250/.290/.397	.147	.272	19	7	16%	5%	91	+1.1	.288/.328/.426	.138	.319	14	5	14%	5%	111	+1.7
✕Nomar Mazara 2021 · MLB	26	49→51	51→55	45→40	46	.251/.310/.412	.161	.303	19	4	24%	7%	104	+2.0	.244/.307/.375	.131	.312	14	4	25%	8%	92	+1.2	.243/.309/.362	.119	.312	12	0	24%	8%	88	+0.3
✕Mark Quinn 2001 · MLB	27	55→57	54→60	47→45	49	.281/.331/.467	.187	.308	22	7	17%	7%	127	+3.6	.268/.310/.449	.181	.292	21	10	16%	5%	113	+2.6	.255/.293/.442	.187	.275	22	8	17%	4%	103	+1.2
●Kevin Mench 2003 · MLB	25	49→54	54→60	45	49	.254/.324/.436	.181	.290	21	5	20%	8%	115	+2.8	.270/.334/.471	.201	.289	23	4	15%	8%	129	+3.7	.268/.326/.471	.203	.271	24	2	12%	7%	120	+2.7
●Wes Helms 2002 · MLB	26	45→50	56→55	48→30	50	.236/.306/.432	.195	.274	23	7	23%	9%	107	+2.2	.246/.310/.418	.172	.297	20	4	24%	7%	105	+2.1	.288/.355/.449	.162	.341	14	0	19%	8%	128	+1.6
✕Kyle Blanks 2013 · MLB	26	45→55	53→55	51→45	43	.231/.296/.410	.179	.305	19	7	30%	7%	98	+1.6	.243/.314/.403	.160	.317	19	5	28%	8%	103	+1.9	.245/.322/.405	.160	.322	20	2	28%	8%	104	+0.8
✕Roosevelt Brown 2002 · MLB	26	53→56	54→50	45	48	.271/.328/.460	.188	.303	21	6	18%	7%	123	+3.3	.236/.313/.376	.140	.284	14	7	21%	9%	95	+1.4	.252/.317/.386	.134	.295	12	3	18%	8%	98	+0.9
✕Thairo Estrada 2022 · MLB	26	49→59	52→50	48→55	44	.250/.301/.413	.163	.289	20	11	21%	6%	100	+1.7	.260/.313/.405	.145	.302	17	18	19%	5%	103	+1.9	.255/.304/.391	.135	.299	16	18	20%	4%	93	+1.1
●Balbino Fuenmayor 2016 · AAA	26	53	54→55	49→30	37	.271/.297/.449	.178	.319	22	4	23%	3%	108	+2.3	.263/.293/.405	.142	.313	16	3	21%	4%	94	+1.3	.274/.306/.446	.172	.311	25	1	20%	4%	109	+1.6
✕Mike Brosseau 2021 · MLB	27	49→57	55	47→45	44	.253/.313/.441	.188	.302	22	9	24%	6%	113	+2.6	.225/.302/.386	.161	.291	20	7	29%	8%	95	+1.4	.218/.293/.350	.133	.273	20	3	27%	7%	77	+0.1
✕Jeff Baker 2007 · MLB	26	49→51	52→55	52→45	42	.250/.295/.421	.171	.309	19	8	26%	6%	100	+1.7	.250/.304/.414	.164	.315	18	7	25%	7%	101	+1.8	.268/.327/.430	.162	.333	15	4	23%	8%	111	+1.2
●Chas McCormick 2022 · MLB	27	47→54	52→55	50	48	.240/.314/.400	.159	.297	20	12	26%	9%	102	+1.9	.250/.326/.423	.173	.319	22	13	27%	9%	113	+2.6	.245/.324/.410	.165	.307	22	17	26%	9%	106	+1.4
●Eddie Rosario 2018 · MLB	26	52→55	53→60	46→50	42	.268/.301/.447	.179	.309	21	11	21%	5%	109	+2.4	.274/.310/.468	.194	.296	26	8	17%	5%	118	+3.0	.273/.309/.475	.203	.284	29	6	16%	5%	114	+2.1

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)