Jose Camacho

C DSL Angels

Age 20 R/R 6'0" / 187 lbs ROK K +5%HR +4% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#496ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKLAA	171	.290/.453/.366	1	9	59	—	.180/.329/.216
2025	18	ROKLAA	100	.155/.283/.214	1	1	-5	—	.091/.192/.102
2026	19	ROKLAA	163	.250/.481/.402	2	6	72	—	.161/.358/.250
2027PROJMLE	20	MLBLAA	273	.214/.305/.298	2	5	75	0.2
2028PROJ34% MLB	21	MLBLAA	46	.217/.308/.310	1	1	80	0.1
2029PROJ48% MLB	22	MLBLAA	110	.220/.311/.322	2	2	83	0.2

Next 3 projected WAR 0.5Projected 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

BB%93

wOBA89

Chase%89

wRC+86

K%70

ISO66

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 100%

CompsNacho Alvarez Jr. (age 20) · Jesus Rodriguez (age 20) · Luis Santana (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 84 proj PA

wRC+†75

AVG/OBP/SLG.212 / .302 / .295

PA84

HR1

K%25

BB%9

ISO84

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$29M ctrl surplus

Tools · ContractCON 53 / POW 37

Toolsscout grade

CONTACT53

scouting grade only

POWER37

scouting grade only

EYE75

scouting grade only

SPEED52

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	+0.7	$2M	+$1M
2034	Pre-Arb	$1.0M	+0.7	$2M	+$1M
2035	Pre-Arb	$1.0M	+0.6	$1M	+$0.9M
2036	Arb-1	$2M	+0.5	$1M	+$0.2M
2037	Arb-2	$3M	+0.3	$0.6M	+$0.0M (cut)
2038	Arb-3	$2M	+0.1	$0.2M	+$0.0M (cut)
Totals		$5M		$6M	+$4M

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 Angels	—	171	131	38	5	1	1	25	25	14	9	6	290	453	366	819	76	349	15	15	385	59	—	—	—	—	—	—
2025	18	ROK	DSL Angels	—	100	84	13	2	0	1	13	22	2	1	1	155	283	214	497	60	194	22	13	242	-5	—	—	—	—	—	—
2026	19	ROK	DSL Angels	—	163	112	28	9	1	2	40	28	10	6	1	250	481	402	883	152	313	17	25	411	72	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Angels	—	171	139	25	3	1	0	17	29	14	9	6	180	329	216	545	36	216	17	10	255	59	—	—	—	—	—	—
2025	18	ROK MLE	DSL Angels	—	100	88	8	1	0	0	9	27	2	1	1	91	192	102	294	11	126	27	9	161	-5	—	—	—	—	—	—
2026	19	ROK MLE	DSL Angels	—	163	124	20	6	1	1	28	34	10	6	1	161	358	250	608	89	190	21	17	275	72	—	—	—	—	—	—
2024	17	ROK MLE	DSL Angels	—	171	139	25	3	1	0	17	29	14	9	6	180	329	216	545	36	225	17	10	255	59	—	—	—	—	—	—
2024	17	ROK RAW	DSL Angels	—	171	131	38	5	1	1	25	25	14	9	6	290	453	366	819	76	349	15	15	385	59	—	—	—	—	—	—
2025	18	ROK MLE	DSL Angels	—	100	88	8	1	0	0	9	27	2	1	1	91	192	102	294	11	129	27	9	161	-5	—	—	—	—	—	—
2025	18	ROK RAW	DSL Angels	—	100	84	13	2	0	1	13	22	2	1	1	155	283	214	497	60	194	22	13	242	-5	—	—	—	—	—	—
2026	19	ROK MLE	DSL Angels	—	163	124	20	6	1	1	28	34	10	6	1	161	358	250	608	89	211	21	17	275	72	—	—	—	—	—	—
2026	19	ROK RAW	DSL Angels	—	163	112	28	9	1	2	40	28	10	6	1	250	481	402	883	152	313	17	25	411	72	—	—	—	—	—	—
2024	17	ROK MLE	DSL Angels	—	171	138	25	3	1	0	17	29	14	9	6	181	329	217	547	36	216	17	10	255	59	—	—	—	—	—	—
2025	18	ROK MLE	DSL Angels	—	100	89	8	1	0	0	9	27	2	1	1	90	192	101	293	11	126	27	9	161	-5	—	—	—	—	—	—
2026	19	ROK MLE	DSL Angels	—	163	124	20	6	1	1	28	34	10	6	1	161	358	250	608	89	190	21	17	275	72	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Angels	—	171	138	25	3	1	0	17	29	14	9	6	181	329	217	547	36	216	17	10	255	59	—	—	—	—	—	—
2025	18	ROK MLE	DSL Angels	—	100	89	8	1	0	0	9	27	2	1	1	90	192	101	293	11	126	27	9	161	-5	—	—	—	—	—	—
2026	19	ROK MLE	DSL Angels	—	163	124	20	6	1	1	28	34	10	6	1	161	358	250	608	89	190	21	17	275	72	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	LAA	0%	273	239	51	9	2	2	26	68	6	5	1	214	305	298	603	84	285	25	10	279	75	-8	+1	+0	+5	+6	0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	LAA	34%	135	118	27	5	1	2	13	33	3	2	1	218	309	313	622	95	287	24	10	286	80	-3	+0	+0	+2	+3	0.2
2029	22	MLB MLE	LAA	48%	228	200	45	8	2	3	21	56	5	4	1	222	312	325	636	103	288	25	9	291	83	-5	+0	+0	+4	+5	0.5
2030	23	MLB MLE	LAA	54%	323	284	63	11	2	5	30	78	6	6	2	225	314	334	648	109	289	24	9	296	86	-5	+0	+0	+6	+7	0.8
2031	24	MLB MLE	LAA	55%	392	344	79	14	3	7	37	95	8	8	2	227	315	341	657	114	290	24	9	299	88	-5	+1	+0	+7	+8	1.1
2032	25	MLB MLE	LAA	56%	431	380	86	15	3	8	40	104	8	9	3	228	316	346	662	118	290	24	9	301	90	-5	+1	+0	+8	+9	1.3
2033	26	MLB MLE	LAA	56%	445	392	89	16	3	8	42	107	8	9	3	228	316	347	663	119	290	24	9	301	90	-5	+1	+0	+8	+10	1.3
2034	27	MLB MLE	LAA	55%	445	392	89	16	3	8	42	108	8	9	3	227	315	344	659	117	289	24	9	299	89	-6	+1	+0	+8	+10	1.2
2035	28	MLB MLE	LAA	55%	445	392	89	16	3	8	42	109	8	8	3	225	313	339	652	114	288	24	9	297	87	-7	+0	-1	+8	+10	1.1
2036	29	MLB MLE	LAA	58%	445	392	88	15	3	8	42	110	8	7	3	223	310	333	643	110	287	25	9	293	84	-8	+0	-1	+8	+10	0.8
2037	30	MLB MLE	LAA	60%	440	388	85	15	2	7	41	110	8	7	3	220	306	325	631	105	285	25	9	288	81	-10	+0	-2	+8	+10	0.6
2038	31	MLB MLE	LAA	62%	406	359	77	13	2	6	37	103	7	5	4	215	301	315	616	99	282	25	9	282	77	-11	-1	-3	+7	+9	0.2
2039	32	MLB MLE	LAA	63%	366	324	68	11	2	5	33	95	6	4	6	210	295	302	597	92	278	26	9	275	72	-12	-2	-4	+7	+8	-0.3
2028	21	MLB CTX	LAA	34%	46	41	8	1	0	1	4	11	1	1	0	217	308	310	618	94	284	24	9	284	80	-1	+0	+0	+1	+1	0.1
2029	22	MLB CTX	LAA	48%	110	97	22	4	1	2	10	27	2	2	1	220	311	322	633	102	286	25	9	290	83	-2	+0	+0	+2	+2	0.2
2030	23	MLB CTX	LAA	54%	175	153	34	6	1	3	16	43	4	3	1	223	313	332	645	109	287	25	9	294	86	-3	+0	+0	+3	+4	0.4
2031	24	MLB CTX	LAA	55%	217	191	42	7	1	4	20	52	4	4	1	226	314	339	654	114	288	24	9	298	88	-3	+0	+0	+4	+5	0.6
2032	25	MLB CTX	LAA	56%	241	211	49	8	2	5	23	58	5	5	1	227	315	344	659	117	288	24	10	300	90	-3	+1	+0	+4	+5	0.7
2033	26	MLB CTX	LAA	56%	250	220	51	9	2	5	23	60	5	5	2	227	315	345	660	118	288	24	9	300	90	-3	+0	+0	+4	+5	0.7
2034	27	MLB CTX	LAA	55%	246	216	49	8	2	5	23	59	5	5	2	226	314	342	656	116	287	24	9	298	89	-3	+0	+0	+4	+5	0.7
2035	28	MLB CTX	LAA	55%	244	214	47	8	1	4	23	60	5	4	2	224	312	337	649	113	286	25	9	296	87	-4	+0	-0	+4	+5	0.6
2036	29	MLB CTX	LAA	58%	258	227	51	9	2	4	24	64	5	4	2	221	309	331	640	109	285	25	9	292	84	-5	+0	-1	+5	+6	0.5
2037	30	MLB CTX	LAA	60%	265	233	51	9	1	4	25	66	5	4	2	218	305	323	628	104	283	25	9	287	81	-6	+0	-1	+5	+6	0.3
2038	31	MLB CTX	LAA	62%	251	222	47	8	1	4	23	64	4	3	2	214	300	313	613	99	280	25	9	281	77	-7	-0	-2	+4	+5	0.1
2039	32	MLB CTX	LAA	63%	230	203	42	7	1	3	21	59	4	3	4	209	294	300	594	91	276	26	9	274	72	-8	-1	-2	+4	+5	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2533	2228	493	84	15	44	235	623	49	43	20	221	309	332	641	110	286	25	9	292	81	-47	+1	-6	+45	+55	4.8
/ 162G	—	A+C		—	650	572	127	22	4	11	60	160	13	11	5	222	311	332	643	110	287	25	9	292	81	-12	+0	-2	+12	+14	1.2
Career	—	MLE		—	5019	4390	955	168	32	77	482	1219	111	95	42	218	311	323	634	105	282	24	10	288	81	-86	+2	-10	+82	+99	8.9
/ 162G	—	MLE		—	650	569	124	22	4	10	62	158	14	12	5	218	310	323	633	105	282	24	10	288	81	-12	+0	-1	+12	+14	1.3

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 DSLDSL Angels · 163 PAwOBA .405 → .275 (−130)K% 17.2% → 21.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.18%	÷1.000	×1.220	—	—	20.96%
BB% (unintentional) /PA	24.54%	÷1.000	×0.700	—	×0.995	17.09%
HBP% /PA	6.13%	—	×0.700	—	×0.995	4.27%
Singles /BIP	19.05%	÷1.000	×0.680	×0.950	×0.995	12.24%
Doubles /BIP	10.71%	÷1.000	×0.600	×0.950	×0.995	6.08%
Triples /BIP	1.19%	÷1.000	×0.600	×0.950	×0.995	0.68%
Home runs /BIP	2.38%	÷1.000	×0.470	—	×0.995	1.11%

Factors used: level-wide DSL 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 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .405 → .275; ISO .152 → .090; BABIP .313 → .190. 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 DSLDSL Angels · 100 PAwOBA .239 → .161 (−78)K% 22.0% → 26.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.00%	÷1.007	×1.220	—	—	26.64%
BB% (unintentional) /PA	13.00%	÷0.973	×0.700	—	×1.008	9.42%
HBP% /PA	2.00%	—	×0.700	—	×1.008	1.41%
Singles /BIP	16.13%	÷0.990	×0.680	×0.955	×1.008	10.66%
Doubles /BIP	3.23%	÷0.920	×0.600	×0.955	×1.008	2.02%
Triples /BIP	0.00%	÷1.110	×0.600	×0.955	×1.008	0.00%
Home runs /BIP	1.61%	÷0.975	×0.470	—	×1.008	0.78%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 95, 1B 98, 2B 84, 3B 122, K 101, BB 95 — applied at half strength. Age: age 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.955.

Result: wOBA .239 → .161; ISO .060 → .033; BABIP .194 → .126. 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 Angels · 171 PAwOBA .379 → .255 (−124)K% 14.6% → 17.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.62%	÷1.038	×1.220	—	—	17.18%
BB% (unintentional) /PA	14.62%	÷1.064	×0.700	—	×1.022	9.84%
HBP% /PA	8.19%	—	×0.700	—	×1.022	5.86%
Singles /BIP	29.25%	÷1.052	×0.680	×0.962	×1.022	18.59%
Doubles /BIP	4.72%	÷1.081	×0.600	×0.962	×1.022	2.57%
Triples /BIP	0.94%	÷0.961	×0.600	×0.962	×1.022	0.58%
Home runs /BIP	0.94%	÷1.068	×0.470	—	×1.022	0.42%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 114, 1B 110, 2B 116, 3B 92, K 108, BB 113 — 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 ×0.962.

Result: wOBA .379 → .255; ISO .076 → .044; BABIP .349 → .216. 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
#1Tucker Barnhartlast yr '24 career totals — 11 seasons, 3,088 PA	4.7	3,088	53	8	241	318	351	+55	+57	16.5	16.1
/162	664	11	2	+11.9	+12.3	3.6	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
#3Curt Casalilast yr '24 career totals — 10 seasons, 1,566 PA	2.4	1,566	47	2	217	311	367	+28	+19	7.8	7.9
/162	664	20	1	+11.9	+7.9	3.3	pk7: 8
#4Buck Rodgers'61-'69 * career totals — 9 seasons, 3,353 PA	5.0	3,353	31	17	239*	294*	339*	+60	+0	6.4	6.5
/162	664	6	3	+11.8	+0.0	1.3	pk7: 7
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	3.9	2,619	43	45	223	308	332	+47	+32	7.0	6.2
/162	664	11	11	+11.9	+8.1	1.8	pk7: 5
#5Fred 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
#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

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 Camacho (OGILVIE)	20	48→53	32→37	47→52	75	212/302/295	83	285	1	1	25%	9%	75	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Nacho Alvarez Jr. 2023 · A	20	51→54	39→40	55→50	58	237/332/330	93	293	6	14	20%	12%	93	+0.8	243/319/335	92	311	8	14	23%	8%	88	+0.5	244/321/332	88	312	8	14	22%	8%	87	+0.2
✕Jesus Rodriguez 2022 · A	20	44→54	37→45	48→50	52	204/280/284	80	260	3	11	21%	9%	62	-1.4	241/302/355	114	291	9	13	19%	7%	86	+0.3	265/326/372	107	319	9	16	19%	7%	96	+0.8
✕Luis Santana 2019 · A	20	52	39→45	50	52	244/318/335	91	274	6	10	13%	7%	88	+0.5	225/293/315	90	280	7	8	21%	7%	74	-0.5	214/269/345	131	274	15	8	27%	5%	69	-0.5
✕Jacob Amaya 2019 · A	20	49→47	39→45	48→45	52	232/310/319	87	306	7	11	25%	10%	82	-0.0	216/290/316	100	284	8	6	25%	9%	74	-0.6	218/291/330	112	279	11	6	25%	9%	75	-0.4
✕Jeferson Morales 2019 · A	20	44→47	37→45	49→50	57	202/312/288	86	246	2	15	17%	11%	77	-0.3	201/291/315	114	248	8	9	21%	9%	75	-0.5	222/297/349	127	274	11	8	22%	7%	81	-0.0
✕Richi Sanchez 2014 · A	20	48	38→40	50	60	221/321/305	85	261	4	10	16%	12%	83	+0.1	203/276/272	69	258	3	7	20%	9%	58	-1.7	170/226/236	67	206	0	6	17%	6%	28	-0.9
✕Luis Caicuto 2023 · A	20	51	38→45	46→50	46	241/301/323	82	302	5	7	21%	6%	78	-0.3	211/281/274	63	283	2	5	24%	7%	61	-1.5	197/271/279	82	244	7	8	21%	7%	57	-0.7
✕Alexander Albertus 2024 · A	19	49	41→45	47→45	61	232/339/328	96	275	9	11	18%	13%	95	+1.0	228/315/321	93	292	7	9	22%	10%	84	+0.2	225/311/319	93	294	7	6	24%	10%	80	-0.1
✕Jacob Reimer 2024 · A	20	46→49	40→45	44→50	50	217/316/303	86	302	8	5	28%	10%	82	-0.0	226/307/346	120	303	11	9	27%	9%	87	+0.4	226/302/377	150	302	15	14	28%	8%	90	+0.5
✕Sam McMillan 2019 · A	20	48	41→30	47→45	49	228/316/330	102	281	8	6	21%	8%	88	+0.4	213/315/286	73	292	4	7	26%	10%	78	-0.3	207/330/269	62	273	4	7	22%	12%	77	-0.2
✕Diego Velasquez 2024 · A	20	49→59	40	50	46	234/299/328	94	301	7	12	24%	7%	80	-0.2	253/321/334	81	323	4	15	21%	8%	88	+0.5	262/334/335	73	332	3	18	20%	8%	91	+0.6
✕Wilfredo Rodriguez 2014 · A	20	48	39→40	47→50	44	231/276/323	91	287	5	5	21%	6%	69	-0.9	235/273/310	75	276	5	6	16%	4%	64	-1.3	240/274/305	65	276	5	5	15%	4%	63	-0.7
✕Aidan Miller 2024 · A	20	49→50	38→50	52→65	47	228/303/310	83	316	4	12	27%	8%	77	-0.3	227/310/359	132	312	11	28	28%	9%	91	+0.7	224/315/364	140	306	12	36	28%	10%	91	+0.5
✕Edward Duran 2024 · A	20	47→48	37→40	46→45	52	219/293/294	74	270	4	6	19%	9%	70	-0.9	221/290/300	79	293	5	9	24%	7%	70	-0.9	215/282/294	78	290	5	9	25%	7%	63	-0.8
✕Josh Morgan 2016 · A	20	54→57	36→45	46→40	49	253/324/318	65	307	4	7	18%	7%	86	+0.3	245/297/325	80	293	6	4	18%	6%	77	-0.3	240/288/318	78	285	6	2	17%	5%	70	-0.6
✕Andy Paz 2013 · A	20	46	35→40	43→45	53	213/291/276	63	262	2	6	18%	9%	65	-1.2	190/251/259	69	263	5	5	27%	7%	45	-2.7	215/270/283	69	275	5	4	23%	7%	55	-0.5
✕Cristofer Torin 2024 · A	19	46→55	38→40	54→50	54	219/299/292	73	262	5	19	18%	9%	72	-0.7	235/310/323	88	290	7	11	20%	9%	82	+0.0	243/315/341	98	290	8	10	18%	9%	86	+0.3
✕Luis Torrens 2016 · A	20	43→49	39→50	49→40	45	207/279/288	81	285	6	6	28%	8%	63	-1.3	212/273/295	83	270	6	4	22%	7%	62	-1.4	233/290/382	149	292	18	0	26%	7%	89	+0.3
✕Shawn Zarraga 2009 · A	20	48	40	51→45	49	227/308/323	96	307	7	7	26%	9%	82	+0.0	224/297/299	75	308	5	6	26%	8%	72	-0.7	277/345/359	82	319	4	2	13%	7%	103	+0.5
✕Rubén Tejada 2010 · AA	20	53→62	37→40	51→50	47	248/300/324	76	291	4	12	16%	6%	78	-0.3	257/311/327	70	304	3	8	15%	6%	83	+0.1	264/320/329	64	312	2	6	15%	6%	86	+0.3

Jose Camacho

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps