Jose Castro

CF FCL Yankees

Age 21 R/R 6'2" / 176 lbs ROK HR +14% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1578ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2023	17	ROKDSL NYY Yanke…	146	.222/.372/.316	2	18	22	—	.138/.269/.187
2025	19	ROKDSL NYY Bombe…	138	.243/.396/.449	6	20	49	—	.159/.291/.265
2026	20	ROKNYY	166	.328/.491/.552	7	31	103	—	.226/.358/.372
2027PROJMLE	21	MLBNYY	276	.202/.287/.313	5	9	72	0.0
2028PROJ34% MLB	22	MLBNYY	46	.208/.293/.331	1	2	76	0.0
2029PROJ48% MLB	23	MLBNYY	104	.212/.296/.341	3	4	79	0.0

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

wOBA95

wRC+95

ISO88

Speed85

BB%69

Z-Con%65

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 97%

CompsTyler James (age 21) · Jorge Mateo (age 20) · Joshua Báez (age 21)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 86 proj PA

wRC+†72

AVG/OBP/SLG.201 / .285 / .310

PA86

HR2

K%30

BB%9

ISO111

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$6M ctrl surplus

Tools · ContractCON 38 / POW 50

Toolsscout grade

CONTACT38

scouting grade only

POWER50

scouting grade only

EYE64

scouting grade only

SPEED78

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	+0.3	$0.8M	+$0.3M
2034	Pre-Arb	$1.0M	+0.2	$0.5M	+$0.0M
2035	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2036	Arb-1	$0.4M	—	—	—
2037	Ext	beyond projection horizon · no WAR estimate
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$2M		$1M	+$0.3M

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. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve.

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)
2023	17	ROK	DSL NYY Yankees	—	146	117	26	5	0	2	15	49	13	18	3	222	372	316	689	94	358	34	10	327	22	—	—	—	—	—	—
2025	19	ROK	DSL NYY Bombers	—	138	107	26	4	0	6	21	29	6	20	4	243	396	449	844	206	263	21	15	371	49	—	—	—	—	—	—
2026	20	ROK	FCL Yankees	—	166	125	41	5	1	7	30	40	10	31	9	328	491	552	1.043	224	430	24	18	459	103	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL NYY Yankees	—	146	123	17	3	0	1	9	61	13	18	3	138	269	187	456	49	232	42	6	200	22	—	—	—	—	—	—
2025	19	ROK MLE	DSL NYY Bombers	—	138	113	18	3	0	3	15	35	6	20	4	159	291	265	557	106	169	25	11	241	49	—	—	—	—	—	—
2026	20	ROK MLE	FCL Yankees	—	166	137	31	3	1	5	18	58	10	31	9	226	358	372	730	146	332	35	11	321	103	—	—	—	—	—	—
2023	17	ROK MLE	DSL NYY Yankees	—	146	123	17	3	0	1	9	61	13	18	3	138	269	187	456	49	258	42	6	200	22	—	—	—	—	—	—
2023	17	ROK RAW	DSL NYY Yankees	—	146	117	26	5	0	2	15	49	13	18	3	222	372	316	689	94	358	34	10	327	22	—	—	—	—	—	—
2025	19	ROK MLE	DSL NYY Bombers	—	138	113	18	3	0	3	15	35	6	20	4	159	291	265	557	106	190	25	11	241	49	—	—	—	—	—	—
2025	19	ROK RAW	DSL NYY Bombers	—	138	107	26	4	0	6	21	29	6	20	4	243	396	449	844	206	263	21	15	371	49	—	—	—	—	—	—
2026	20	ROK MLE	FCL Yankees	—	166	137	31	3	1	5	18	58	10	31	9	226	358	372	730	146	347	35	11	321	103	—	—	—	—	—	—
2026	20	ROK RAW	FCL Yankees	—	166	125	41	5	1	7	30	40	10	31	9	328	491	552	1.043	224	430	24	18	459	103	—	—	—	—	—	—
2023	17	ROK MLE	DSL NYY Yankees	—	146	123	17	3	0	1	9	61	13	18	3	138	269	187	456	49	232	42	6	200	22	—	—	—	—	—	—
2025	19	ROK MLE	DSL NYY Bombers	—	138	116	18	3	0	3	15	35	6	20	4	155	291	259	550	103	169	25	11	241	49	—	—	—	—	—	—
2026	20	ROK MLE	FCL Yankees	—	166	137	31	3	1	5	18	58	10	31	9	226	358	372	730	146	332	35	11	321	103	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	19	ROK MLE	DSL NYY Bombers	—	138	116	18	3	0	3	15	35	6	20	4	155	291	259	550	103	169	25	11	241	49	—	—	—	—	—	—
2026	20	ROK MLE	FCL Yankees	—	166	137	31	3	1	5	18	58	10	31	9	226	358	372	730	146	332	35	11	321	103	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	NYY	0%	276	245	50	8	2	5	24	82	5	9	1	202	287	313	600	111	276	30	9	274	72	-9	+1	+0	+1	+6	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	NYY	34%	133	118	25	4	1	3	12	39	2	5	1	207	291	325	616	118	278	29	9	281	76	-4	+1	+0	+0	+3	0.0
2029	23	MLB MLE	NYY	48%	214	189	40	6	1	5	19	61	4	7	1	211	295	335	629	124	280	29	9	286	79	-5	+1	+0	+1	+5	0.1
2030	24	MLB MLE	NYY	53%	298	265	57	9	2	7	26	84	5	10	2	214	297	343	640	129	281	28	9	290	82	-6	+1	+0	+1	+6	0.2
2031	25	MLB MLE	NYY	55%	355	315	68	11	2	9	31	99	6	12	2	216	299	348	648	132	282	28	9	293	84	-7	+2	+0	+1	+8	0.4
2032	26	MLB MLE	NYY	56%	387	343	75	12	2	10	34	107	7	13	2	218	300	353	653	135	282	28	9	295	86	-7	+2	+0	+1	+8	0.5
2033	27	MLB MLE	NYY	55%	401	356	76	12	2	10	35	112	7	14	2	217	299	350	650	134	282	28	9	293	85	-7	+2	+0	+1	+9	0.5
2034	28	MLB MLE	NYY	55%	404	358	76	12	2	10	36	113	7	13	2	215	297	346	643	131	281	28	9	291	83	-8	+2	-1	+1	+9	0.3
2035	29	MLB MLE	NYY	53%	398	354	75	12	2	10	35	113	6	12	2	213	295	340	634	127	280	28	9	287	81	-9	+2	-1	+1	+9	0.1
2036	30	MLB MLE	NYY	53%	388	345	73	12	2	9	34	111	6	11	2	210	291	332	624	122	278	29	9	283	78	-10	+1	-2	+1	+8	-0.1
2028	22	MLB CTX	NYY	34%	46	41	8	1	0	1	4	13	1	2	0	208	293	331	623	123	278	28	9	283	76	-1	+0	+0	+0	+1	0.0
2029	23	MLB CTX	NYY	48%	104	92	20	3	1	3	9	30	2	4	1	212	296	341	637	129	280	29	9	288	79	-3	+0	+0	+0	+2	0.0
2030	24	MLB CTX	NYY	53%	157	139	30	5	1	4	14	44	3	5	1	215	299	349	648	134	282	28	9	293	82	-3	+1	+0	+1	+3	0.1
2031	25	MLB CTX	NYY	55%	194	172	37	6	1	5	17	54	3	7	1	218	300	355	656	138	282	28	9	296	84	-4	+1	+0	+1	+4	0.2
2032	26	MLB CTX	NYY	56%	215	190	42	7	1	6	19	60	4	7	1	219	302	360	662	141	283	28	9	298	86	-4	+1	+0	+1	+5	0.3
2033	27	MLB CTX	NYY	55%	221	196	43	7	1	6	19	61	4	8	1	218	301	357	658	139	282	28	9	296	85	-4	+1	+0	+1	+5	0.3
2034	28	MLB CTX	NYY	55%	221	196	43	7	1	6	19	62	4	7	1	216	299	353	651	136	281	28	9	294	83	-4	+1	-0	+1	+5	0.2
2035	29	MLB CTX	NYY	53%	212	188	39	6	1	5	19	60	3	6	1	214	296	346	642	132	280	28	9	290	81	-5	+1	-1	+1	+5	0.1
2036	30	MLB CTX	NYY	53%	204	181	38	6	1	5	18	58	3	6	1	211	293	339	631	127	278	28	9	286	78	-5	+1	-1	+1	+4	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1574	1395	300	48	8	41	138	442	27	52	8	215	298	349	647	134	282	28	9	293	79	-33	+7	-2	+6	+34	1.1
/ 162G	—	A+C		—	650	576	124	20	3	17	57	183	11	21	3	215	298	349	647	134	282	28	9	293	79	-14	+3	-1	+2	+14	0.5
Career	—	MLE		—	3514	3093	646	101	17	84	311	1018	81	169	32	209	298	334	632	125	279	29	9	285	79	-67	+14	-4	+11	+66	2.0
/ 162G	—	MLE		—	650	572	120	19	3	16	58	188	15	31	6	210	299	337	637	128	280	29	9	285	79	-14	+3	-1	+2	+14	0.4

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 ROKFCL Yankees · 166 PAwOBA .451 → .321 (−130)K% 24.1% → 34.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.10%	÷1.000	×1.440	—	—	34.70%
BB% (unintentional) /PA	18.07%	÷1.000	×0.620	—	×0.985	11.04%
HBP% /PA	6.02%	—	×0.720	—	×0.985	4.27%
Singles /BIP	32.94%	÷1.000	×0.820	×0.995	×0.985	26.48%
Doubles /BIP	5.88%	÷1.000	×0.720	×0.995	×0.985	4.15%
Triples /BIP	1.18%	÷1.000	×0.720	×0.995	×0.985	0.83%
Home runs /BIP	8.24%	÷1.000	×0.780	—	×0.985	6.33%

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 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.995.

Result: wOBA .451 → .321; ISO .224 → .165; BABIP .430 → .332. 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 NYY Bombers · 138 PAwOBA .372 → .241 (−131)K% 21.0% → 25.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.01%	÷0.997	×1.220	—	—	25.72%
BB% (unintentional) /PA	15.22%	÷0.966	×0.700	—	×0.985	10.86%
HBP% /PA	4.35%	—	×0.700	—	×0.985	3.00%
Singles /BIP	20.51%	÷0.985	×0.680	×1.014	×0.985	14.14%
Doubles /BIP	5.13%	÷1.019	×0.600	×1.014	×0.985	3.02%
Triples /BIP	0.00%	÷0.961	×0.600	×1.014	×0.985	0.00%
Home runs /BIP	7.69%	÷1.090	×0.470	—	×0.985	3.27%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 118, 1B 97, 2B 104, 3B 92, K 99, BB 93 — applied at half strength. Age: age 20 vs a level average of 18.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.014.

Result: wOBA .372 → .241; ISO .206 → .100; BABIP .263 → .169. 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).

2023 DSLDSL NYY Yankees · 146 PAwOBA .319 → .200 (−119)K% 33.6% → 42.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	33.56%	÷0.975	×1.220	—	—	41.98%
BB% (unintentional) /PA	9.59%	÷1.035	×0.700	—	×1.008	6.54%
HBP% /PA	8.90%	—	×0.700	—	×1.008	6.28%
Singles /BIP	27.94%	÷0.970	×0.680	×0.975	×1.008	19.24%
Doubles /BIP	7.35%	÷1.041	×0.600	×0.975	×1.008	4.16%
Triples /BIP	0.00%	÷1.083	×0.600	×0.975	×1.008	0.00%
Home runs /BIP	2.94%	÷1.724	×0.470	—	×1.008	0.81%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 245, 1B 94, 2B 108, 3B 117, K 95, BB 107 — 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 ×0.975.

Result: wOBA .319 → .200; ISO .094 → .037; BABIP .358 → .232. 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
#1Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
#2Ruben Rivera'95-'03 * career totals — 7 seasons, 1,818 PA	2.7	1,818	64	50	206*	292*	376*	-1	+20	4.0	4.0
/162	664	23	18	-0.3	+7.2	1.5	pk7: 4
#3Garrett Hampsonlast yr '25 career totals — 7 seasons, 1,805 PA	2.7	1,805	29	65	234	296	352	+10	+10	3.9	3.9
/162	664	11	24	+3.6	+3.7	1.4	pk7: 4
#4Guillermo Heredialast yr '22 career totals — 6 seasons, 1,530 PA	2.3	1,530	25	6	231	311	345	+3	+17	3.5	3.5
/162	664	11	3	+1.2	+7.6	1.5	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	2.5	1,660	40	55	214	294	343	+6	+15	2.3	2.2
/162	664	16	22	+2.4	+6.0	0.9	pk7: 2
#5Milt Cuyler'90-'98 * career totals — 7 seasons, 1,567 PA	2.4	1,567	10	77	233*	299*	338*	+1	+4	0.6	0.9
/162	664	4	33	+0.6	+1.9	0.3	pk7: 1
#6Damon Buford'93-'01 * career totals — 8 seasons, 2,072 PA	3.1	2,072	54	56	230*	296*	371*	-1	-2	0.2	0.8
/162	664	17	18	-0.4	-0.5	0.1	pk7: 1

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 Castro (OGILVIE)	21	33→38	45→50	73→78	64	201/285/310	110	276	2	3	30%	9%	72	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Tyler James 2018 · A	21	44	36→30	64→65	42	203/264/279	76	291	2	27	29%	7%	55	-2.0	217/280/291	74	327	4	27	32%	7%	63	-1.3	224/290/283	58	344	4	45	33%	7%	61	-0.6
✕Jorge Mateo 2015 · A	20	40→50	38→50	60→65	46	194/261/276	83	257	5	30	26%	8%	53	-2.1	213/260/315	102	302	6	37	30%	6%	61	-1.5	217/266/353	136	277	13	42	26%	5%	73	-0.4
✕Joshua Báez 2024 · A	21	40→48	42→55	58→60	36	172/260/282	110	341	9	22	48%	8%	56	-1.9	206/280/356	150	315	18	30	38%	8%	80	-0.2	211/281/393	182	287	24	33	34%	7%	88	+0.3
✕Jonatan Clase 2022 · A	20	43→48	40→50	59→65	47	205/283/296	91	289	7	26	30%	9%	66	-1.1	211/287/356	145	315	14	39	35%	9%	82	-0.0	210/288/361	151	303	15	47	33%	9%	81	-0.0
✕Yhoswar Garcia 2023 · A	21	42	38→30	63→70	39	197/261/279	82	301	5	38	34%	6%	54	-2.0	204/255/271	67	276	3	38	26%	5%	49	-2.4	200/248/252	52	262	1	51	23%	5%	40	-1.4
✕Derek Hill 2018 · A	22	43→52	37→55	61→60	39	202/257/282	80	305	3	28	33%	6%	53	-2.1	199/251/282	83	314	7	24	36%	6%	51	-2.3	240/291/409	169	325	21	27	32%	5%	95	+0.4
✕Johan Mieses 2015 · A	20	39→33	39→55	59→50	45	191/248/281	90	242	5	22	23%	6%	49	-2.4	195/243/347	152	271	18	8	34%	5%	63	-1.3	192/268/358	166	237	23	7	30%	7%	73	-0.4
✕Jay Allen II 2024 · A	21	41→47	39→45	58→55	42	193/283/280	87	299	7	32	35%	8%	64	-1.3	200/286/296	96	279	9	24	30%	8%	69	-0.9	202/286/304	103	275	11	24	29%	7%	68	-0.8
✕Roberto Caro 2015 · A	21	41→40	37→40	61→60	53	189/277/271	82	239	2	21	21%	10%	59	-1.7	193/264/265	72	284	2	16	30%	8%	52	-2.2	211/282/288	76	323	2	26	32%	8%	62	-0.7
✕Sean Henry 2007 · A	21	41→51	45→50	56→55	43	206/261/329	123	273	12	24	28%	7%	65	-1.2	243/296/370	127	297	11	17	21%	6%	88	+0.4	251/305/379	128	300	11	17	19%	6%	91	+0.6
✕Che-Hsuan Lin 2009 · A	20	44→54	41→40	58→55	45	214/276/316	101	271	7	21	23%	6%	68	-1.0	239/308/317	78	289	5	20	18%	8%	80	-0.2	245/318/310	65	292	4	22	16%	8%	79	-0.2
✕Billy Hamilton 2011 · A	20	44→54	37→40	62→70	39	206/251/284	77	291	3	28	29%	5%	50	-2.3	240/292/314	74	335	3	63	27%	7%	72	-0.7	252/305/341	89	324	4	80	22%	7%	81	-0.1
✕Jose Ramos 2024 · A	21	36	38→40	59→55	43	175/251/257	81	256	4	23	31%	7%	46	-2.6	195/280/275	80	288	5	23	31%	9%	61	-1.5	194/290/265	72	282	5	28	30%	11%	60	-0.5
✕Darin Mastroianni 2009 · A	23	41→51	38→40	60	41	200/252/275	76	276	5	22	29%	6%	49	-2.4	251/316/325	74	320	3	35	21%	8%	84	+0.2	261/328/336	76	325	2	38	19%	9%	88	+0.4
✕Max Ferguson 2023 · A	23	36→35	39→40	64→60	50	175/275/264	90	264	6	32	33%	11%	57	-1.8	180/260/270	90	269	8	28	33%	9%	53	-2.1	177/253/266	89	250	10	28	31%	9%	46	-1.7
✕Shane Sasaki 2022 · A	22	44→54	38→45	58→60	39	202/262/281	79	326	6	22	38%	7%	55	-2.0	232/296/337	105	342	9	27	32%	8%	80	-0.1	233/300/333	100	341	8	32	32%	8%	78	-0.1
✕Alex Castellanos 2009 · A	22	43→51	46→55	58→50	34	213/260/345	133	297	12	18	32%	4%	69	-0.9	216/266/348	132	311	11	15	33%	4%	72	-0.7	233/294/407	174	309	17	15	29%	6%	94	+0.8
✕Rudy Martin Jr. 2017 · A	21	44	38→45	58→65	42	203/275/285	82	317	4	20	34%	8%	61	-1.5	196/259/288	92	324	7	29	39%	7%	56	-1.9	220/296/327	107	310	12	41	30%	9%	75	-0.2
✕Evan Crawford 2011 · A	22	47→57	38→40	59→55	37	221/262/311	90	311	4	17	29%	5%	60	-1.6	239/285/324	85	332	4	19	28%	4%	72	-0.7	260/305/334	74	360	2	25	26%	4%	78	-0.2
●Zac Veen 2024 · AA	22	44→53	41→55	60	45	211/282/314	103	302	8	34	31%	8%	70	-0.8	229/289/373	144	306	14	25	28%	7%	86	+0.3	243/302/419	176	316	18	22	28%	7%	98	+0.8

Jose Castro

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps