Santiago Camacho

C ACL Giants

Age 20 S/R 5'10" / 200 lbs ROK HR -15%H -3% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1090ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL Giants Or…	138	.363/.519/.549	2	3	116	—	.255/.393/.373
2025	18	ROKSF	156	.234/.299/.426	5	0	35	—	.166/.214/.290
2026	19	ROKSF	103	.258/.347/.438	3	0	48	—	.183/.248/.301
2027PROJMLE	20	MLBSF	213	.209/.269/.318	3	2	65	0.0
2028PROJ34% MLB	21	MLBSF	37	.210/.271/.322	1	0	70	0.0
2029PROJ48% MLB	22	MLBSF	96	.213/.276/.331	2	1	74	0.1

Next 3 projected WAR 0.1Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2038Service0.0First FA2039

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032MiLB2033Pre-Arb$0.9M2034Pre-Arb$1.0M+4

Skills · percentileMiLB Statcast 2026 Rk

Z-Con%80

ISO78

Whiff%76

Chase%59

K%55

wRC+39

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 94%

CompsJose Herrera (age 20) · Cristian Santana (age 20) · Brett Cumberland (age 22)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 55 proj PA

wRC+†65

AVG/OBP/SLG.207 / .267 / .315

PA55

HR1

K%26

BB%6

ISO109

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$14M 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 2033

Service 0 yrs (est)

Team Control Through 2038

First FA Year 2039

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2033
2028	MiLB	still in minors · estimated debut 2033
2029	MiLB	still in minors · estimated debut 2033
2030	MiLB	still in minors · estimated debut 2033
2031	MiLB	still in minors · estimated debut 2033
2032	MiLB	still in minors · estimated debut 2033
2033	Pre-Arb	$0.9M	+0.4	$1M	+$0.5M
2034	Pre-Arb	$1.0M	+0.4	$0.9M	+$0.5M
2035	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2036	Arb-1	$1M	+0.2	$0.4M	+$0.0M
2037	Arb-2	$0.7M	—	—	—
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$4M		$3M	+$1M

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. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve. Catcher framing: only 2027 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 1-3 WAR low.

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	116	—	—	—	—	—	—
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	35	—	—	—	—	—	—
2026	19	ROK	ACL Giants	—	103	89	23	5	1	3	12	21	0	0	1	258	347	438	785	180	299	20	12	343	48	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Giants Orange	—	138	110	28	8	1	1	20	26	5	3	0	255	393	373	765	118	296	19	14	339	116	—	—	—	—	—	—
2025	18	ROK MLE	ACL Giants	—	156	145	24	7	1	3	6	34	3	0	0	166	214	290	504	124	186	22	4	220	35	—	—	—	—	—	—
2026	19	ROK MLE	ACL Giants	—	103	93	17	3	1	2	8	30	0	0	1	183	248	301	549	118	223	29	8	239	48	—	—	—	—	—	—
2024	17	ROK MLE	DSL Giants Orange	—	138	110	28	8	1	1	20	26	5	3	0	255	393	373	765	118	314	19	14	339	116	—	—	—	—	—	—
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	116	—	—	—	—	—	—
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	220	35	—	—	—	—	—	—
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	35	—	—	—	—	—	—
2026	19	ROK MLE	ACL Giants	—	103	93	17	3	1	2	8	30	0	0	1	183	248	301	549	118	238	29	8	239	48	—	—	—	—	—	—
2026	19	ROK RAW	ACL Giants	—	103	89	23	5	1	3	12	21	0	0	1	258	347	438	785	180	299	20	12	343	48	—	—	—	—	—	—
2024	17	ROK MLE	DSL Giants Orange	—	138	112	28	8	1	1	20	26	5	3	0	250	393	366	759	116	296	19	14	339	116	—	—	—	—	—	—
2025	18	ROK MLE	ACL Giants	—	156	146	24	7	1	3	6	34	3	0	0	164	214	288	502	123	186	22	4	220	35	—	—	—	—	—	—
2026	19	ROK MLE	ACL Giants	—	103	94	17	3	1	2	8	30	0	0	1	181	248	298	545	117	223	29	8	239	48	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Giants Orange	—	138	112	28	8	1	1	20	26	5	3	0	250	393	366	759	116	296	19	14	339	116	—	—	—	—	—	—
2025	18	ROK MLE	ACL Giants	—	156	146	24	7	1	3	6	34	3	0	0	164	214	288	502	123	186	22	4	220	35	—	—	—	—	—	—
2026	19	ROK MLE	ACL Giants	—	103	94	17	3	1	2	8	30	0	0	1	181	248	298	545	117	223	29	8	239	48	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	SF	0%	213	195	40	8	1	3	14	56	2	2	1	209	269	318	587	109	271	26	7	264	65	-9	+0	+0	+4	+5	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	SF	34%	109	100	21	4	1	2	7	28	1	1	0	213	274	330	605	117	273	26	6	272	70	-4	+0	+0	+2	+2	0.1
2029	22	MLB MLE	SF	48%	199	182	39	8	1	4	13	50	2	2	1	217	279	339	618	123	275	25	7	277	74	-6	+0	+0	+4	+4	0.2
2030	23	MLB MLE	SF	54%	294	269	59	12	2	6	20	74	3	3	1	220	283	347	629	127	276	25	7	282	77	-8	+0	+0	+5	+6	0.4
2031	24	MLB MLE	SF	55%	370	337	75	15	2	8	26	92	4	4	1	222	286	352	638	130	278	25	7	285	79	-9	+0	+0	+7	+8	0.6
2032	25	MLB MLE	SF	56%	414	377	84	16	3	9	29	102	5	4	2	223	288	356	643	132	279	25	7	288	81	-9	+0	+0	+7	+9	0.7
2033	26	MLB MLE	SF	56%	439	400	89	17	3	10	31	109	5	4	2	223	287	355	643	132	278	25	7	288	81	-10	+0	+0	+8	+10	0.7
2034	27	MLB MLE	SF	55%	445	405	91	18	3	10	32	111	5	4	2	222	286	353	639	131	278	25	7	286	80	-11	+0	+0	+8	+10	0.7
2035	28	MLB MLE	SF	55%	445	405	89	17	3	10	32	112	5	4	2	220	284	348	632	128	277	25	7	283	78	-12	+0	-1	+8	+10	0.5
2036	29	MLB MLE	SF	53%	441	402	88	17	3	9	31	112	5	3	2	218	281	342	623	124	275	25	7	280	75	-13	-0	-1	+8	+10	0.3
2037	30	MLB MLE	SF	53%	432	395	84	16	2	9	30	111	4	3	3	215	278	334	612	119	273	26	7	275	72	-14	-1	-2	+8	+9	0.0
2028	21	MLB CTX	SF	34%	37	35	7	1	0	1	2	10	0	0	0	210	271	322	593	112	269	27	5	267	70	-1	+0	+0	+1	+1	0.0
2029	22	MLB CTX	SF	48%	96	89	20	4	1	2	6	24	1	1	0	213	276	331	606	118	271	25	6	273	74	-3	+0	+0	+2	+2	0.1
2030	23	MLB CTX	SF	54%	159	145	31	6	1	3	11	40	2	2	1	216	279	338	617	122	273	25	7	277	77	-4	+0	+0	+3	+3	0.2
2031	24	MLB CTX	SF	55%	205	187	40	8	1	4	14	51	2	2	1	218	282	343	625	125	274	25	7	280	79	-5	+0	+0	+4	+4	0.3
2032	25	MLB CTX	SF	56%	232	211	46	9	1	5	16	57	3	2	1	219	284	346	630	127	275	25	7	283	81	-5	+0	+0	+4	+5	0.4
2033	26	MLB CTX	SF	56%	247	225	50	10	2	5	17	61	3	2	1	219	284	346	630	127	275	25	7	282	81	-6	+0	+0	+4	+5	0.4
2034	27	MLB CTX	SF	55%	246	224	49	10	2	5	17	61	3	2	1	218	283	343	626	125	274	25	7	281	80	-6	+0	+0	+4	+5	0.4
2035	28	MLB CTX	SF	55%	244	222	48	10	1	5	17	61	3	2	1	216	281	339	620	123	273	25	7	278	78	-6	+0	-0	+4	+5	0.3
2036	29	MLB CTX	SF	53%	236	215	46	9	1	5	17	60	2	2	1	214	278	333	611	119	272	25	7	275	75	-7	+0	-1	+4	+5	0.2
2037	30	MLB CTX	SF	53%	227	207	44	9	1	4	16	58	2	1	2	211	274	325	600	115	270	26	7	270	72	-8	-1	-1	+4	+5	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1929	1760	381	76	11	39	133	483	21	16	9	216	280	339	618	122	274	25	7	278	76	-51	-0	-2	+34	+42	2.3
/ 162G	—	A+C		—	650	593	129	26	4	13	45	163	7	5	3	218	281	341	621	123	276	25	7	278	76	-17	-0	-1	+12	+14	0.8
Career	—	MLE		—	4040	3670	798	160	26	84	289	1005	48	36	17	217	283	344	627	126	274	25	7	281	76	-99	+0	-4	+65	+79	4.2
/ 162G	—	MLE		—	650	590	129	26	4	14	46	162	8	6	3	219	284	347	631	129	275	25	7	281	76	-18	+0	-1	+12	+14	0.8

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 ROKACL Giants · 103 PAwOBA .341 → .239 (−102)K% 20.4% → 29.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.39%	÷1.000	×1.440	—	—	29.36%
BB% (unintentional) /PA	11.65%	÷1.000	×0.620	—	×1.008	7.28%
HBP% /PA	0.00%	—	×0.720	—	×1.008	0.00%
Singles /BIP	20.59%	÷1.000	×0.820	×0.950	×1.008	16.16%
Doubles /BIP	7.35%	÷1.000	×0.720	×0.950	×1.008	5.07%
Triples /BIP	1.47%	÷1.000	×0.720	×0.950	×1.008	1.01%
Home runs /BIP	4.41%	÷1.000	×0.780	—	×1.008	3.47%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .341 → .239; ISO .180 → .128; BABIP .299 → .223. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 ROKACL Giants · 156 PAwOBA .312 → .220 (−92)K% 16.0% → 22.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.03%	÷1.045	×1.440	—	—	22.08%
BB% (unintentional) /PA	6.41%	÷1.070	×0.620	—	×1.022	3.80%
HBP% /PA	1.92%	—	×0.720	—	×1.022	1.42%
Singles /BIP	14.66%	÷1.042	×0.820	×0.983	×1.022	11.59%
Doubles /BIP	8.62%	÷1.001	×0.720	×0.983	×1.022	6.23%
Triples /BIP	0.86%	÷1.150	×0.720	×0.983	×1.022	0.54%
Home runs /BIP	4.31%	÷1.128	×0.780	—	×1.022	3.05%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 126, 1B 108, 2B 100, 3B 130, K 109, BB 114 — applied at half strength. Age: age 18 vs a level average of 19.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.983.

Result: wOBA .312 → .220; ISO .191 → .132; BABIP .248 → .186. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2024 DSLDSL Giants Orange · 138 PAwOBA .463 → .339 (−123)K% 15.2% → 18.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.22%	÷1.001	×1.220	—	—	18.55%
BB% (unintentional) /PA	20.29%	÷0.982	×0.700	—	×1.022	14.78%
HBP% /PA	3.62%	—	×0.700	—	×1.022	2.59%
Singles /BIP	28.40%	÷0.972	×0.680	×1.023	×1.022	20.77%
Doubles /BIP	13.58%	÷0.982	×0.600	×1.023	×1.022	8.68%
Triples /BIP	1.23%	÷0.971	×0.600	×1.023	×1.022	0.80%
Home runs /BIP	2.47%	÷0.914	×0.470	—	×1.022	1.30%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 83, 1B 94, 2B 96, 3B 94, K 100, BB 96 — applied at half strength. Age: age 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.023.

Result: wOBA .463 → .339; ISO .186 → .123; BABIP .427 → .296. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

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
#2Jacob Stallingslast yr '25 career totals — 7 seasons, 1,850 PA	2.8	1,850	33	0	229	310	340	+33	+50	10.3	10.3
/162	664	12	0	+11.9	+17.9	3.7	pk7: 10
#3Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#4Fred Kendall'69-'80 * career totals — 8 seasons, 2,823 PA	4.3	2,823	31	5	231*	283*	340*	+48	+1	5.0	5.9
/162	664	7	1	+11.2	+0.1	1.2	pk7: 7
#5Chris Widger'95-'06 * career totals — 8 seasons, 1,998 PA	3.0	1,998	55	10	227*	283*	381*	+33	-0	3.6	4.1
/162	664	18	3	+11.1	-0.2	1.2	pk7: 5
#6Ben Davis'98-'04 * career totals — 6 seasons, 1,698 PA	2.6	1,698	38	9	228*	295*	352*	+30	-0	3.6	3.6
/162	664	15	4	+11.5	-0.0	1.4	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.0	1,985	43	19	221	281	348	+35	+24	3.7	3.5
/162	664	14	6	+11.9	+8.0	1.2	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
Santiago Camacho (OGILVIE)	20	35	45	35	20	207/267/315	108	271	1	1	26%	6%	65	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jose Herrera 2017 · A	20	44	40	43→40	45	215/277/303	88	278	8	4	25%	7%	65	-1.2	202/258/285	83	259	5	3	23%	7%	54	-2.0	214/297/304	90	284	9	3	26%	10%	72	-0.4
✕Cristian Santana 2017 · A	20	37→47	41→50	39→30	36	189/222/283	94	250	9	4	28%	4%	39	-3.1	234/258/361	127	319	16	2	31%	3%	72	-0.7	256/283/351	96	338	10	0	27%	3%	75	-0.3
✕Brett Cumberland 2017 · A	22	38→41	39→45	37→30	36	183/253/269	87	285	7	4	36%	5%	50	-2.3	195/293/323	128	297	13	2	36%	8%	78	-0.3	187/294/320	133	282	15	0	36%	8%	78	-0.2
✕Alejandro Flores 2016 · A	20	36	39→50	45→40	43	179/246/260	81	255	6	5	31%	8%	45	-2.7	204/264/306	102	299	8	6	32%	7%	61	-1.5	206/261/337	132	279	11	4	29%	6%	64	-0.6
✕Cam Gallagher 2013 · A	20	40	40→45	40→30	44	196/241/286	90	235	8	4	20%	5%	48	-2.5	201/254/291	90	231	7	2	16%	6%	54	-2.0	215/276/319	104	267	9	0	22%	7%	69	-0.2
✕Jonathan Araúz 2019 · A	20	41→40	41→45	44→45	46	200/258/302	101	247	7	5	22%	7%	58	-1.7	209/266/316	107	264	10	5	24%	7%	64	-1.3	193/263/299	106	237	12	3	23%	8%	58	-1.0
✕Oswaldo Cabrera 2019 · A	20	45→49	40→55	40→50	43	219/253/305	86	254	7	5	18%	4%	56	-1.9	217/257/338	121	283	12	9	27%	5%	65	-1.2	223/278/382	159	281	18	18	27%	7%	83	+0.0
✕Julian Leon 2016 · A	20	40	43→45	41→30	36	197/254/304	107	296	11	2	36%	6%	58	-1.7	194/259/311	117	313	13	2	40%	7%	61	-1.5	181/262/310	129	285	17	0	40%	8%	61	-0.6
✕Gabriel Lino 2013 · A	20	39	42→40	42→30	40	192/251/295	103	271	9	4	32%	6%	55	-2.0	197/247/290	93	302	8	3	35%	5%	51	-2.3	206/255/293	86	293	6	0	30%	5%	53	-1.0
✕Deivy Grullón 2017 · A	21	44→45	42→55	38→30	37	215/257/318	103	300	10	2	31%	5%	61	-1.5	233/271/374	141	313	17	2	30%	5%	80	-0.2	236/277/397	161	310	22	0	31%	5%	85	+0.2
✕Dom Nuñez 2015 · A	20	40→46	44→50	41→45	44	201/250/315	114	241	12	9	22%	6%	58	-1.7	213/277/326	113	260	13	7	23%	8%	71	-0.8	181/265/328	147	236	18	5	31%	9%	68	-0.5
✕Chadwick Tromp 2015 · A	20	45	41→45	42→40	38	221/260/320	99	283	9	5	25%	4%	63	-1.4	217/258/311	94	284	7	3	25%	4%	59	-1.6	234/296/333	99	289	9	2	21%	7%	77	-0.1
✕Matt Kennelly 2009 · A	20	43	40	41→40	36	211/245/302	91	283	8	3	28%	4%	53	-2.1	210/256/287	77	287	6	2	28%	6%	53	-2.1	224/280/310	86	279	7	2	21%	6%	65	-0.6
✕Jose Marquez 2018 · A	20	40	37→50	44→50	40	191/241/267	75	255	4	4	26%	5%	43	-2.8	216/259/319	103	294	8	7	28%	5%	62	-1.4	196/243/314	118	272	13	10	32%	5%	52	-0.7
✕Yu Chang 2016 · A	20	41→47	42→50	45	38	205/254/311	106	279	10	6	30%	5%	59	-1.7	206/263/350	144	289	15	8	33%	6%	72	-0.7	217/278/367	150	284	17	4	29%	7%	81	-0.0
✕Omar Estévez 2018 · A	20	43	39→45	40	37	210/249/296	86	288	6	3	29%	4%	53	-2.1	218/264/330	112	306	10	3	31%	6%	67	-1.1	201/256/294	92	277	9	1	29%	6%	54	-1.1
✕Carlos Soto 2019 · A	20	40	40→45	43→30	46	198/266/283	86	263	8	3	27%	8%	57	-1.8	200/267/297	97	281	9	4	30%	7%	61	-1.5	168/258/285	117	236	11	0	32%	10%	54	-0.8
✕Rodolfo Durán 2018 · A	20	43	41→50	46→45	39	212/254/309	97	284	9	6	28%	5%	57	-1.8	212/248/354	142	283	18	3	31%	4%	66	-1.1	229/272/378	149	281	17	3	25%	5%	78	-0.2
✕Jose Cordoba 2023 · A	20	37	41→40	44→55	40	185/250/278	93	262	9	9	32%	6%	50	-2.3	205/259/296	91	278	6	11	27%	6%	57	-1.8	203/257/294	91	267	4	15	24%	5%	53	-0.9
✕Anderson De Los Santos 2024 · A	20	39→38	40	43→50	40	192/247/282	89	269	7	8	30%	6%	49	-2.4	183/261/280	97	274	9	12	34%	9%	55	-1.9	173/266/275	101	253	10	13	33%	10%	53	-1.5

Santiago Camacho

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps