Javier Castillo — OGILVIE

Javier CastilloC ACL Giants

Age 22 R/R 6'1" / 170 lbs ROK HR -15%H -3% Svc 0.0 · Ctrl thru 2037

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 62 proj PA

wRC+†54

AVG/OBP/SLG.199 / .265 / .271

PA5

HR0

K%30

BB%7

ISO73

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$3M ctrl surplus

Tools · Contract

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	+0.1	$0.3M	+$0.0M (cut)
2033	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2034	Pre-Arb	$1.0M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.5M	+$0.0M

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)
2021	17	ROK	DSL Giants Orange	—	53	47	12	4	0	0	4	11	1	1	0	255	327	340	667	85	324	21	8	300	89	-1	+0	—	—	+1	0.1
2022	18	ROK	DSL Giants Black	—	139	127	31	3	4	2	11	20	1	1	2	244	309	378	687	134	276	14	8	308	94	-1	-1	—	—	+3	0.2
2023	19	ROK	ACL Giants Orange	—	132	110	32	8	0	0	12	25	5	0	0	291	386	364	749	73	356	19	9	334	112	+2	+0	—	—	+3	0.5
2024	20	ROK	ACL Giants	—	112	93	14	1	0	0	17	27	1	0	0	151	288	161	450	11	209	24	15	229	41	-8	+0	—	—	+2	-0.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	17	ROK MLE	DSL Giants Orange	—	53	49	8	2	0	0	2	17	1	1	0	163	212	204	416	41	249	32	4	203	24	-5	+0	—	—	+1	-0.4
2022	18	ROK MLE	DSL Giants Black	—	139	131	24	2	3	1	7	29	1	1	2	183	230	267	497	84	227	21	5	223	37	-10	-1	—	—	+3	-0.8
2023	19	ROK MLE	ACL Giants Orange	—	132	115	27	6	0	0	7	35	5	0	0	235	307	287	594	52	288	27	5	258	61	-6	+0	—	—	+3	-0.3
2024	20	ROK MLE	ACL Giants	—	112	100	11	1	0	0	10	39	1	0	0	110	198	120	318	10	173	35	9	156	-8	-14	+0	—	—	+2	-1.2
2021	17	ROK MLE	DSL Giants Orange	—	53	49	8	2	0	0	2	17	1	1	0	163	212	204	416	41	242	32	4	203	24	—	—	—	—	—	—
2021	17	ROK RAW	DSL Giants Orange	—	53	47	12	4	0	0	4	11	1	1	0	255	327	340	667	85	324	21	8	300	24	—	—	—	—	—	—
2022	18	ROK MLE	DSL Giants Black	—	139	131	24	2	3	1	7	29	1	1	2	183	230	267	497	84	228	21	5	223	37	—	—	—	—	—	—
2022	18	ROK RAW	DSL Giants Black	—	139	127	31	3	4	2	11	20	1	1	2	244	309	378	687	134	276	14	8	308	37	—	—	—	—	—	—
2023	19	ROK MLE	ACL Giants Orange	—	132	115	27	6	0	0	7	35	5	0	0	235	307	287	594	52	318	27	5	258	61	—	—	—	—	—	—
2023	19	ROK RAW	ACL Giants Orange	—	132	110	32	8	0	0	12	25	5	0	0	291	386	364	749	73	356	19	9	334	61	—	—	—	—	—	—
2024	20	ROK MLE	ACL Giants	—	112	100	11	1	0	0	10	39	1	0	0	110	198	120	318	10	177	35	9	156	-8	—	—	—	—	—	—
2024	20	ROK RAW	ACL Giants	—	112	93	14	1	0	0	17	27	1	0	0	151	288	161	450	11	209	24	15	229	-8	—	—	—	—	—	—
2021	17	ROK MLE	DSL Giants Orange	—	53	50	8	2	0	0	2	17	1	1	0	160	212	200	412	40	249	32	4	203	24	—	—	—	—	—	—
2022	18	ROK MLE	DSL Giants Black	—	139	130	24	2	3	1	7	29	1	1	2	185	230	269	499	85	227	21	5	223	37	—	—	—	—	—	—
2023	19	ROK MLE	ACL Giants Orange	—	132	119	27	6	0	0	7	35	5	0	0	227	307	277	584	50	288	27	5	258	61	—	—	—	—	—	—
2024	20	ROK MLE	ACL Giants	—	112	100	11	1	0	0	10	39	1	0	0	110	198	120	318	10	173	35	9	156	-8	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	19	ROK MLE	ACL Giants Orange	—	132	119	27	6	0	0	7	35	5	0	0	227	307	277	584	50	288	27	5	258	61	—	—	—	—	—	—
2024	20	ROK MLE	ACL Giants	—	112	100	11	1	0	0	10	39	1	0	0	110	198	120	318	10	173	35	9	156	-8	—	—	—	—	—	—
▸ 2026 season
2026	22	MLB MLE	SF	0%	5	5	1	0	0	0	0	1	0	0	0	200	200	200	400		285	20	0	248	54	-0	+0	+0	+0	+0	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	SF	34%	109	99	21	4	1	1	8	32	1	1	0	212	278	303	581	91	287	29	7	260	62	-5	+0	+0	+2	+2	-0.0
2028	24	MLB MLE	SF	46%	239	216	46	8	1	4	18	68	3	2	1	213	283	315	598	102	289	28	8	269	68	-9	+0	+0	+4	+5	0.0
2029	25	MLB MLE	SF	52%	326	295	64	11	2	6	24	91	4	3	1	217	285	329	614	112	289	28	7	275	72	-11	+0	+0	+6	+7	0.2
2030	26	MLB MLE	SF	54%	383	346	75	13	2	7	29	107	5	4	1	217	287	327	613	110	289	28	8	278	74	-12	+0	+0	+7	+8	0.4
2031	27	MLB MLE	SF	54%	412	372	81	14	2	8	32	115	5	4	1	218	289	331	619	113	289	28	8	278	74	-13	+0	+0	+7	+9	0.4
2032	28	MLB MLE	SF	54%	428	387	83	14	2	8	33	120	5	4	1	214	285	323	608	109	288	28	8	277	73	-14	+0	-1	+8	+9	0.3
2033	29	MLB MLE	SF	53%	430	388	83	14	2	8	34	122	5	4	1	214	286	322	608	108	287	28	8	275	72	-14	+0	-1	+8	+9	0.2
2034	30	MLB MLE	SF	52%	428	387	81	14	2	7	33	122	5	3	1	209	280	310	590	101	286	29	8	272	70	-15	+0	-2	+8	+9	-0.0
2027	23	MLB CTX	SF	34%	37	34	6	1	0	0	3	11	0	0	0	176	243	206	449	29	282	30	8	247	62	-2	+0	+0	+1	+1	-0.0
2028	24	MLB CTX	SF	46%	110	100	22	4	1	2	8	31	1	1	0	220	284	340	624	120	283	28	7	255	68	-4	+0	+0	+2	+2	0.0
2029	25	MLB CTX	SF	52%	168	151	33	6	1	3	13	47	2	2	1	219	289	331	620	113	284	28	8	260	72	-6	+0	+0	+3	+4	0.1
2030	26	MLB CTX	SF	54%	208	188	40	7	1	4	16	58	2	2	1	213	282	324	606	112	284	28	8	263	74	-6	+0	+0	+4	+5	0.2
2031	27	MLB CTX	SF	54%	223	201	42	7	1	4	17	62	3	2	1	209	281	313	594	104	283	28	8	263	74	-7	+0	+0	+4	+5	0.2
2032	28	MLB CTX	SF	54%	232	209	44	8	1	4	18	65	3	2	1	211	283	316	598	105	283	28	8	262	73	-7	+0	-0	+4	+5	0.1
2033	29	MLB CTX	SF	53%	228	205	43	7	1	4	18	65	3	2	1	210	283	312	595	102	282	29	8	260	72	-8	+0	-1	+4	+5	0.1
2034	30	MLB CTX	SF	52%	224	202	42	7	1	4	17	64	3	2	1	208	279	312	591	104	281	29	8	258	70	-8	+0	-1	+4	+5	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1430	1290	272	47	7	25	110	403	17	13	6	211	282	316	598	105	284	28	8	260	66	-48	+0	-2	+26	+31	0.7
/ 162G	—	A+C		—	650	586	123	21	3	11	50	183	8	6	3	210	281	312	593	102	284	28	8	260	66	-22	+0	-1	+12	+14	0.3
Career	—	MLE		—	3196	2890	605	103	17	50	237	898	41	27	9	209	279	309	587	99	283	28	7	266	66	-93	+2	-4	+49	+60	1.5
/ 162G	—	MLE		—	650	588	122	21	3	10	48	183	8	5	2	207	276	304	580	97	281	28	7	266	66	-22	+1	-1	+12	+14	0.3

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Sandy 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
#2Ronny 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
#3Adam 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
#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
#5Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	2.3	1,494	26	14	215	282	321	+27	+20	1.7	1.8
/162	664	12	6	+11.9	+8.9	0.8	pk7: 2
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	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
Javier Castillo (OGILVIE)	22	—	—	—	—	199/265/271	72	285	1	1	30%	7%	54	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Aaron McKeithan 2022 · A	22	41	38→40	49→40	40	195/262/275	80	276	6	7	30%	6%	54	-2.0	219/298/304	85	284	8	4	24%	7%	74	-0.5	216/302/271	55	271	5	1	21%	8%	67	-0.3
✕Claudio Finol 2022 · A	22	40	38→40	46→45	40	194/253/278	85	271	5	6	29%	6%	51	-2.3	196/253/280	84	275	6	9	29%	6%	51	-2.2	192/260/271	78	271	9	12	31%	7%	51	-0.6
✕Franklin Tineo 2017 · A	22	36	38→45	46→50	45	179/245/253	75	239	5	10	26%	7%	42	-2.9	198/277/298	100	282	8	10	30%	8%	65	-1.2	201/298/325	124	262	10	12	25%	10%	77	-0.1
✕Francisco Acuna 2022 · A	22	38→48	39→45	48→50	45	182/274/268	86	264	6	10	31%	8%	58	-1.7	206/278/301	95	283	7	11	28%	7%	66	-1.1	217/289/313	96	287	8	16	26%	7%	70	-0.4
✕Braulio Vasquez 2021 · A	22	41	39→40	44→65	38	195/256/276	80	309	6	7	37%	6%	51	-2.2	207/280/301	94	303	7	30	31%	7%	67	-1.1	200/278/292	91	290	6	42	30%	7%	62	-0.6
✕Jose Sibrian 2021 · A	22	43	38→50	49→30	39	204/261/283	79	291	5	6	30%	6%	55	-2.0	204/258/283	79	271	6	3	26%	5%	54	-2.0	202/260/295	93	255	9	0	24%	5%	55	-0.7
✕Glenn Santiago 2023 · A	22	41	41→40	46→45	39	201/255/297	96	286	8	8	32%	6%	55	-1.9	198/263/285	87	291	7	9	32%	7%	57	-1.8	182/254/257	75	267	7	8	32%	8%	46	-1.1
✕Blake Hunt 2021 · A	22	42	40→45	49→40	43	204/260/298	94	268	7	6	26%	6%	58	-1.7	192/251/306	114	277	11	4	33%	6%	57	-1.8	208/275/351	144	265	17	1	28%	7%	74	-0.2
✕Brendon Davis 2019 · A	22	41→43	39→50	43→50	39	197/256/284	87	304	7	5	36%	7%	53	-2.1	200/261/303	103	296	10	6	34%	7%	60	-1.6	194/266/353	159	252	19	9	30%	7%	71	-0.6
✕Aramis Garcia 2015 · A	22	44→41	38→50	49→45	45	208/269/290	82	284	4	6	27%	7%	59	-1.6	212/265/333	121	287	14	3	30%	6%	68	-1.0	213/254/350	137	283	17	0	31%	4%	65	-0.7
✕Gilberto Vizcarra 2021 · A	22	43	36→45	50→40	46	203/265/271	69	261	4	5	23%	7%	54	-2.0	218/265/313	95	269	7	4	21%	5%	63	-1.4	233/269/347	114	277	11	0	20%	4%	71	-0.4
✕Ramon Mendoza 2023 · A	22	40→49	37→45	48→45	44	187/265/261	75	278	4	7	32%	8%	52	-2.2	212/285/310	98	296	8	5	29%	8%	70	-0.8	230/307/340	110	300	10	3	25%	9%	83	+0.0
✕Alex Todd 2012 · A	22	39	37→40	44→45	39	187/248/259	72	259	4	4	28%	5%	45	-2.7	223/289/310	87	301	6	6	26%	6%	72	-0.7	241/310/327	86	323	6	5	25%	5%	81	-0.0
✕Alexis Wilson 2019 · A	22	41	38→40	48→30	45	195/262/274	79	264	5	4	27%	8%	53	-2.1	220/270/311	91	282	9	5	24%	6%	64	-1.3	224/269/304	80	272	10	1	21%	5%	59	-0.6
✕Juan Aponte 2010 · A	22	43	39→45	47→40	42	205/270/296	91	272	6	5	26%	6%	61	-1.5	208/257/272	64	306	3	5	31%	5%	50	-2.3	199/234/217	18	292	0	0	30%	3%	29	-0.8
✕Narbe Cruz 2023 · A	22	41	38→45	44→45	40	196/250/274	78	266	5	7	27%	5%	49	-2.4	214/267/306	92	306	8	6	31%	5%	62	-1.4	214/268/307	93	310	9	6	32%	5%	59	-0.8
✕Kyle Overstreet 2016 · A	22	40→46	37→40	42→30	45	191/256/261	70	267	4	4	28%	8%	48	-2.5	226/281/319	93	286	8	3	22%	7%	70	-0.8	229/273/318	89	279	9	1	21%	5%	64	-0.8
✕Juan Zabala 2021 · A	22	40	39→40	48→50	37	189/252/274	85	300	6	6	37%	6%	50	-2.3	212/274/306	94	301	9	13	30%	7%	65	-1.2	206/268/289	83	286	8	16	29%	7%	56	-0.8
✕Javier Valdes 2021 · A	22	40	37→50	50→30	45	190/266/263	73	266	4	7	28%	8%	53	-2.1	211/295/322	111	281	11	5	27%	8%	78	-0.3	208/306/343	135	260	16	3	25%	9%	85	+0.1
✕Willy Diaz 2016 · A	22	39	38→40	43→40	46	187/275/268	81	281	6	3	33%	9%	58	-1.7	189/257/267	78	337	4	5	41%	7%	50	-2.3	169/224/243	75	318	2	4	44%	5%	29	-1.2

Career Stats + Projections

Career Comps

Career Path Comps