Santiago Camacho

Santiago CamachoC ACL Giants

Age 19 S/R 5'10" / 200 lbs ROK HR -15%H -3% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION103 act + 11 ros · stats below = ROS only

showingROS

wRC+†62

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

PA11

HR0

K%27

BB%9

BABIP257

ISO113

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$25M ctrl surplus

Tools · ContractCON 35 / POW 45

Toolsscout grade

CONTACT35

scouting grade only

POWER45

scouting grade only

EYE20

scouting grade only

SPEED35

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	+0.6	$2M	+$1M
2033	Pre-Arb	$1.0M	+0.6	$1M	+$1.0M
2034	Pre-Arb	$1.0M	+0.6	$1M	+$0.9M
2035	Arb-1	$2M	+0.5	$1M	+$0.1M
2036	Arb-2	$4M	+0.4	$0.7M	+$0.0M (cut)
2037	Arb-3	$4M	+0.3	$0.5M	+$0.0M (cut)
Totals		$5M		$7M	+$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. Catcher framing: only 2026 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run below FG-DC by 1-3 WAR.

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)
2024	17	ROK	DSL Giants Orange	—	138	102	37	11	1	2	28	21	5	3	0	363	519	549	1.068	186	427	15	20	463	200	+16	+1	—	—	+3	2.0
2025	18	ROK	ACL Giants	—	156	141	33	10	1	5	10	25	3	0	0	234	299	426	724	191	248	16	6	317	101	+0	+0	—	—	+3	0.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Giants Orange	—	138	112	33	9	1	2	18	30	5	3	0	295	415	446	861	152	351	22	13	365	133	+5	+1	—	—	+3	0.9
2025	18	ROK MLE	ACL Giants	—	156	145	24	7	1	3	6	34	3	0	0	166	214	290	504	124	182	22	4	216	32	-13	+0	—	—	+3	-0.9
2024	17	ROK MLE	DSL Giants Orange	—	138	112	33	9	1	2	18	30	5	3	0	295	415	446	861	152	373	22	13	365	133	—	—	—	—	—	—
2024	17	ROK RAW	DSL Giants Orange	—	138	102	37	11	1	2	28	21	5	3	0	363	519	549	1.068	186	427	15	20	463	133	—	—	—	—	—	—
2025	18	ROK MLE	ACL Giants	—	156	145	24	7	1	3	6	34	3	0	0	166	214	290	504	124	191	22	4	216	32	—	—	—	—	—	—
2025	18	ROK RAW	ACL Giants	—	156	141	33	10	1	5	10	25	3	0	0	234	299	426	724	191	248	16	6	317	32	—	—	—	—	—	—
2024	17	ROK MLE	DSL Giants Orange	—	138	114	33	9	1	2	18	30	5	3	0	289	415	439	853	149	351	22	13	365	133	—	—	—	—	—	—
2025	18	ROK MLE	ACL Giants	—	156	146	24	7	1	3	6	34	3	0	0	164	214	288	502	123	182	22	4	216	32	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	17	ROK MLE	DSL Giants Orange	—	138	114	33	9	1	2	18	30	5	3	0	289	415	439	853	149	351	22	13	365	133	—	—	—	—	—	—
2025	18	ROK MLE	ACL Giants	—	156	146	24	7	1	3	6	34	3	0	0	164	214	288	502	123	182	22	4	216	32	—	—	—	—	—	—
YTD	19	ROK MLE	SF	—	103	94	16	3	1	2	7	30	0	0	1	170	228	287	515	117	219	29	7	237	47	-7	-0	+0	+2	+2	-0.3
▸ 2026 season
YTD	19	ROK RAW	SF	—	103	89	23	5	1	3	12	21	0	0	1	258	347	438	785	180	299	20	12	343	47	—	—	—	—	—	—
ROS	19	ROK MLE	SF	0%	11	10	1	0	0	0	1	3	0	0	0	100	182	100	282		262	27	9	259	62	-1	+0	+0	+0	+0	-0.0
TOT	19	ROK MLE	SF	—	114	104	17	3	1	2	8	33	0	0	1	163	223	269	492	106	211	29	7	239	48	-7	-0	+0	+2	+2	-0.3
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	20	MLB MLE	SF	34%	216	197	41	8	1	4	15	56	2	2	1	208	271	320	591	112	268	26	7	273	71	-7	+0	+0	+4	+5	0.1
2028	21	MLB MLE	SF	48%	345	314	68	13	2	8	24	87	4	3	1	217	281	347	628	131	271	25	7	281	76	-10	+0	+0	+6	+7	0.4
2029	22	MLB MLE	SF	54%	438	399	87	17	3	10	31	109	5	4	2	218	283	351	634	133	273	25	7	286	79	-11	+0	+0	+8	+9	0.7
2030	23	MLB MLE	SF	57%	500	454	101	20	3	12	36	123	6	5	2	222	288	359	647	137	274	25	7	289	81	-11	+0	+0	+9	+11	0.9
2031	24	MLB MLE	SF	57%	520	472	105	21	3	13	37	128	6	5	2	222	287	362	650	140	275	25	7	290	82	-11	+0	+0	+9	+11	1.0
2032	25	MLB MLE	SF	57%	520	471	105	21	3	13	38	127	6	5	2	223	289	363	652	140	275	24	7	291	83	-11	+0	+0	+9	+11	1.0
2033	26	MLB MLE	SF	56%	520	471	105	21	3	13	38	127	6	5	2	223	289	363	652	140	275	24	7	291	83	-10	+0	+0	+9	+11	1.1
2034	27	MLB MLE	SF	55%	520	471	105	21	3	13	38	128	6	5	2	223	289	363	652	140	275	25	7	291	83	-10	+0	+0	+9	+11	1.1
2035	28	MLB MLE	SF	55%	520	470	104	20	3	13	39	129	6	5	2	221	289	360	649	138	274	25	8	290	83	-11	+0	-1	+9	+11	0.9
2036	29	MLB MLE	SF	53%	520	470	104	20	3	13	39	130	6	5	2	221	289	360	649	138	273	25	8	288	81	-12	+0	-1	+9	+11	0.8
2037	30	MLB MLE	SF	53%	520	470	102	20	3	12	39	131	6	5	2	217	285	349	634	132	272	25	8	286	79	-13	+0	-2	+9	+11	0.6
2038	31	MLB MLE	SF	57%	504	455	99	19	3	12	38	128	6	5	2	218	287	352	638	134	269	25	8	281	77	-14	+0	-3	+9	+11	0.3
2039	32	MLB MLE	SF	59%	489	444	94	18	3	11	37	127	5	4	2	212	280	340	620	128	266	26	8	276	73	-16	+0	-4	+9	+11	-0.0
2040	33	MLB MLE	SF	61%	453	411	84	16	2	9	34	120	5	4	2	204	273	319	592	114	262	26	8	269	68	-17	+0	-4	+8	+10	-0.4
2027	20	MLB CTX	SF	34%	74	68	13	3	0	1	5	19	1	1	0	191	257	279	536	88	263	26	7	259	71	-3	+0	+0	+1	+2	0.1
2028	21	MLB CTX	SF	48%	167	151	31	6	1	3	12	42	2	2	1	205	273	318	591	113	266	25	7	266	76	-5	+0	+0	+3	+4	0.2
2029	22	MLB CTX	SF	54%	238	216	47	9	2	5	17	59	3	2	1	218	284	347	631	130	268	25	7	271	79	-6	+0	+0	+4	+5	0.4
2030	23	MLB CTX	SF	57%	283	258	56	11	2	6	20	70	3	3	1	217	281	345	626	128	269	25	7	273	81	-6	+0	+0	+5	+6	0.5
2031	24	MLB CTX	SF	57%	294	268	58	11	2	7	21	72	3	3	1	216	281	351	632	134	270	24	7	275	82	-6	+0	+0	+5	+6	0.6
2032	25	MLB CTX	SF	57%	294	268	58	11	2	7	21	72	3	3	1	216	281	351	632	134	270	24	7	276	83	-6	+0	+0	+5	+6	0.6
2033	26	MLB CTX	SF	56%	294	268	58	11	2	7	21	72	3	3	1	216	281	351	632	134	269	24	7	276	83	-6	+0	+0	+5	+6	0.6
2034	27	MLB CTX	SF	55%	288	262	57	11	2	7	21	71	3	3	1	218	283	355	638	137	269	25	7	276	83	-6	+0	+0	+5	+6	0.6
2035	28	MLB CTX	SF	55%	285	259	57	11	2	7	21	70	3	3	1	220	286	359	645	139	269	25	7	275	83	-6	+0	-0	+5	+6	0.5
2036	29	MLB CTX	SF	53%	278	252	55	11	2	6	21	69	3	3	1	218	286	349	635	131	268	25	8	273	81	-6	+0	-1	+5	+6	0.4
2037	30	MLB CTX	SF	53%	274	248	53	10	2	6	21	69	3	3	1	214	283	343	626	129	267	25	8	271	79	-7	+0	-1	+5	+6	0.3
2038	31	MLB CTX	SF	57%	285	259	54	10	2	6	21	73	3	3	1	208	276	332	608	124	264	26	7	267	77	-8	+0	-2	+5	+6	0.2
2039	32	MLB CTX	SF	59%	289	262	54	10	2	6	22	75	3	3	1	206	275	328	604	122	261	26	8	262	73	-9	+0	-2	+5	+6	0.0
2040	33	MLB CTX	SF	61%	276	250	49	9	1	5	21	73	3	2	1	196	266	300	566	104	257	26	8	255	68	-10	+0	-3	+5	+6	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3619	3289	700	134	24	79	265	906	39	37	13	213	279	340	620	127	268	25	7	270	79	-90	+2	-8	+65	+78	4.8
/ 162G	—	A+C		—	650	591	125	24	4	14	48	163	7	7	2	212	279	337	615	125	267	25	7	270	79	-16	+0	-2	+12	+14	0.9
Career	—	MLE		—	6890	6236	1362	271	40	161	508	1717	83	65	26	218	286	352	638	134	273	25	7	285	79	-164	+2	-15	+118	+143	8.6
/ 162G	—	MLE		—	650	588	129	26	4	15	48	162	8	6	2	219	287	354	641	134	275	25	7	285	79	-16	+0	-1	+12	+14	0.8

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Rod Barajaslast yr '12 career totals — 12 seasons, 3,753 PA	5.7	3,753	134	2	235	284	407	+60	+30	15.8	16.0
/162	664	24	0	+10.7	+5.3	2.8	pk7: 16
#2John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	6.0	4,009	134	6	234	301	398	+72	+7	16.9	15.7
/162	664	22	1	+11.9	+1.2	2.8	pk7: 14
#3Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
#4Danny 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
#5Adeiny Hechavarríalast yr '20 career totals — 9 seasons, 3,288 PA	5.0	3,288	37	35	253	291	351	+32	+46	8.6	8.8
/162	664	7	7	+6.5	+9.3	1.7	pk7: 9
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	5.6	3,750	88	37	219	282	353	+67	+36	7.6	6.4
/162	664	16	7	+11.9	+6.4	1.3	pk7: 5
#6Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6

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
Santiago Camacho (OGILVIE)	19	35	45	35	20	201/259/313	112	262	2	1	26%	6%	62	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Raul Juarez 2017 · A	19	42	41→45	42→40	41	208/273/305	97	268	9	6	25%	5%	65	-1.2	204/257/279	75	279	6	5	28%	5%	53	-2.1	180/221/220	41	250	4	2	29%	3%	23	-0.9
✕Randel Alcantara 2015 · A	18	40	43→45	41→45	42	200/268/307	107	273	11	4	30%	7%	63	-1.3	200/265/309	109	265	8	6	26%	6%	63	-1.4	186/252/305	119	241	8	6	25%	5%	54	-0.7
✕Adinso Reyes 2021 · A	19	46	43→45	41→40	38	224/269/334	110	299	10	5	28%	4%	70	-0.9	180/233/285	105	338	12	4	47%	5%	45	-2.7	150/203/249	99	291	13	2	51%	5%	24	-1.3
✕Victor Heredia 2019 · A	19	47	44→50	42→30	39	232/274/353	122	292	11	4	25%	4%	76	-0.4	213/267/301	88	291	7	5	28%	6%	61	-1.5	176/240/214	38	249	3	2	28%	6%	30	-1.0
✕Jose Perez 2022 · A	18	41	38→40	42→45	44	193/266/276	83	281	5	6	31%	8%	55	-1.9	200/299/287	87	269	5	7	25%	11%	71	-0.8	193/314/286	93	255	5	7	23%	13%	76	-0.1
✕Jose Herrera 2017 · A	20	44	40	43→40	45	213/273/300	87	275	8	4	25%	7%	63	-1.3	200/256/282	82	256	5	3	23%	7%	52	-2.2	210/292/298	88	277	8	3	26%	10%	69	-0.5
✕Jesús Báez 2023 · A	18	39→40	44→55	44→45	43	197/263/310	113	267	13	9	30%	8%	63	-1.4	199/261/321	122	254	13	9	26%	7%	64	-1.3	217/271/392	175	242	26	8	23%	6%	83	+0.1
✕Leo Bernal 2023 · A	19	40→48	48→45	46→50	42	208/260/349	141	255	16	5	26%	6%	70	-0.8	218/288/325	107	289	10	7	26%	8%	75	-0.5	223/286/345	121	279	14	10	24%	8%	76	-0.3
✕Juan Uriarte 2016 · A	18	44	40→45	41→30	46	209/281/300	92	252	7	4	20%	6%	67	-1.1	214/271/302	88	274	7	4	24%	5%	63	-1.4	190/234/269	79	257	8	1	28%	3%	40	-0.9
✕Hector Martinez 2016 · A	19	47	41→45	41→45	35	224/261/325	101	305	7	6	28%	3%	64	-1.3	228/267/314	86	330	5	9	31%	4%	63	-1.3	239/269/322	83	362	5	12	34%	2%	62	-0.3
✕Yaniery Guzman 2018 · A	20	45	42→55	44→40	46	220/278/324	104	272	9	4	22%	7%	71	-0.8	218/263/334	116	294	10	4	28%	6%	67	-1.1	238/276/393	155	286	15	3	22%	5%	85	+0.1
✕Jose Ovalles 2013 · A	19	40	42→45	45→40	47	199/278/308	110	248	9	5	23%	7%	68	-1.0	215/277/321	106	257	9	5	19%	6%	70	-0.9	219/276/329	110	242	9	3	14%	6%	70	-0.3
✕Ronaldo Hernández 2018 · A	20	50→44	43→50	40→45	44	245/288/356	111	285	9	4	18%	5%	81	-0.1	228/267/357	129	270	15	7	21%	4%	74	-0.5	225/263/372	146	262	18	5	22%	3%	75	-0.4
✕Jon Del Campo 2007 · A	19	43	38→45	45→55	46	205/268/282	77	271	6	5	26%	8%	57	-1.8	205/257/287	82	297	4	5	30%	6%	53	-2.1	267/298/376	109	332	10	18	22%	3%	90	+0.3
✕Joe DeCarlo 2013 · A	19	39→38	41→50	43→30	45	190/272/291	102	269	8	3	30%	8%	62	-1.4	186/267/286	100	300	9	2	38%	8%	59	-1.6	193/274/341	148	264	18	1	32%	8%	71	-0.5
✕Chadwick Tromp 2015 · A	20	45	41→45	42→40	38	220/259/319	99	282	9	5	25%	4%	61	-1.5	214/254/306	92	280	7	3	25%	4%	57	-1.8	226/287/316	90	280	8	2	21%	7%	70	-0.3
✕Bryan Ramos 2021 · A	19	43→42	40→50	44→50	40	207/266/301	93	288	7	6	30%	6%	61	-1.5	209/273/340	131	270	15	6	28%	6%	73	-0.6	205/270/341	137	257	17	5	27%	6%	70	-0.7
✕Ismerling Mota 2017 · A	19	43	40→45	46→40	41	211/253/301	90	262	8	5	23%	5%	55	-1.9	203/254/278	75	282	5	4	28%	5%	51	-2.3	180/231/230	51	220	3	0	19%	5%	30	-0.9
✕Deivy Grullón 2017 · A	21	42	42→50	38→30	37	209/251/310	101	292	9	2	31%	5%	57	-1.8	223/261/356	133	299	16	2	30%	5%	72	-0.7	211/258/366	155	285	22	1	34%	6%	71	-0.4
✕Prilys Cuello 2008 · A	19	42	44→50	46→45	42	207/274/329	123	299	11	8	33%	8%	71	-0.8	212/270/308	96	318	8	8	33%	7%	63	-1.3	199/252/266	67	312	4	10	36%	6%	43	-0.5

Career Stats + Projections

Career Comps

Career Path Comps