Kevyn Castillo — OGILVIE

Kevyn CastilloLF Rancho Cucamonga Quakes

Age 21 L/L 5'10" / 170 lbs A K +5%HR +4% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION549 act + 10 ros · stats below = ROS only

showingROS

wRC+†87

AVG/OBP/SLG.111 / .200 / .111

PA10

HR0

K%20

BB%10

BABIP280

ISO117

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$19M ctrl surplus

Tools · ContractCON 45 / POW 30

Toolsscout grade

CONTACT45

scouting grade only

POWER30

scouting grade only

EYE55

scouting grade only

SPEED45

scouting grade only

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	+0.6	$2M	+$1M
2032	Pre-Arb	$0.9M	+0.6	$2M	+$1M
2033	Pre-Arb	$1.0M	+0.5	$1M	+$0.7M
2034	Arb-1	$2M	+0.4	$0.9M	+$0.1M
2035	Arb-2	$2M	+0.2	$0.4M	+$0.0M (cut)
2036	Arb-3	$2M	—	—	—
Totals		$5M		$6M	+$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.

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)
2022	17	ROK	DSL Angels	—	48	40	9	3	0	0	6	17	1	4	2	225	340	300	640	75	391	35	12	296	86	-1	+0	—	—	+1	0.0
2023	18	ROK	DSL Angels	—	234	186	69	10	7	3	40	36	2	23	9	371	487	548	1.035	177	437	15	17	445	187	+24	+1	—	—	+5	3.1
2024	19	A	Inland Empire 66ers	—	196	171	50	7	1	4	20	53	3	8	4	292	376	415	791	123	400	27	10	354	126	+6	+0	—	—	+4	1.1
2025	20	A	Inland Empire 66ers	—	192	158	45	4	4	2	28	39	2	6	3	285	399	399	798	114	361	20	15	356	127	+6	+0	—	—	+4	1.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL Angels	—	48	43	6	2	0	0	3	25	1	4	2	140	213	186	399	47	319	52	6	186	12	-5	+0	—	—	+1	-0.4
2023	18	ROK MLE	DSL Angels	—	234	202	59	8	5	3	24	52	2	23	9	292	373	426	799	134	354	22	10	344	119	+5	+1	—	—	+5	1.2
2024	19	A MLE	Inland Empire 66ers	—	196	177	42	5	1	4	14	74	3	8	4	237	304	345	649	107	363	38	7	275	72	-6	+0	—	—	+4	-0.2
2025	20	A MLE	Inland Empire 66ers	—	192	166	39	3	3	2	20	52	2	6	3	235	324	325	650	90	317	27	10	289	82	-4	+0	—	—	+4	-0.0
2022	17	ROK MLE	DSL Angels	—	48	43	6	2	0	0	3	25	1	4	2	140	213	186	399	47	333	52	6	186	12	—	—	—	—	—	—
2022	17	ROK RAW	DSL Angels	—	48	40	9	3	0	0	6	17	1	4	2	225	340	300	640	75	391	35	12	296	12	—	—	—	—	—	—
2023	18	ROK MLE	DSL Angels	—	234	202	59	8	5	3	24	52	2	23	9	292	373	426	799	134	371	22	10	344	119	—	—	—	—	—	—
2023	18	ROK RAW	DSL Angels	—	234	186	69	10	7	3	40	36	2	23	9	371	487	548	1.035	177	437	15	17	445	119	—	—	—	—	—	—
2024	19	A MLE	Inland Empire 66ers	—	196	177	42	5	1	4	14	74	3	8	4	237	304	345	649	107	380	38	7	275	72	—	—	—	—	—	—
2024	19	A RAW	Inland Empire 66ers	—	196	171	50	7	1	4	20	53	3	8	4	292	376	415	791	123	400	27	10	354	72	—	—	—	—	—	—
2025	20	A MLE	Inland Empire 66ers	—	192	166	39	3	3	2	20	52	2	6	3	235	324	325	650	90	325	27	10	289	82	—	—	—	—	—	—
2025	20	A RAW	Inland Empire 66ers	—	192	158	45	4	4	2	28	39	2	6	3	285	399	399	798	114	361	20	15	356	82	—	—	—	—	—	—
2022	17	ROK MLE	DSL Angels	—	48	44	6	2	0	0	3	25	1	4	2	136	213	182	395	45	319	52	6	186	12	—	—	—	—	—	—
2023	18	ROK MLE	DSL Angels	—	234	206	59	8	5	3	24	52	2	23	9	286	373	417	790	131	354	22	10	344	119	—	—	—	—	—	—
2024	19	A MLE	Inland Empire 66ers	—	196	177	42	5	1	4	14	74	3	8	4	237	304	345	649	107	363	38	7	275	72	—	—	—	—	—	—
2025	20	A MLE	Inland Empire 66ers	—	192	168	39	3	3	2	20	52	2	6	3	232	324	321	646	89	317	27	10	289	82	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	18	ROK MLE	DSL Angels	—	234	206	59	8	5	3	24	52	2	23	9	286	373	417	790	131	354	22	10	344	119	—	—	—	—	—	—
2024	19	A MLE	Inland Empire 66ers	—	196	177	42	5	1	4	14	74	3	8	4	237	304	345	649	107	363	38	7	275	72	—	—	—	—	—	—
2025	20	A MLE	Inland Empire 66ers	—	192	168	39	3	3	2	20	52	2	6	3	232	324	321	646	89	317	27	10	289	82	—	—	—	—	—	—
YTD	21	A MLE	LAA	—	549	483	108	19	4	13	52	131	7	25	9	224	308	360	668	137	277	24	9	295	86	-9	+1	+0	-6	+12	-0.2
▸ 2026 season
YTD	21	A RAW	LAA	—	438	366	104	20	6	12	62	74	6	21	8	284	396	470	866	186	325	17	14	383	86	—	—	—	—	—	—
YTD	21	A+ RAW	LAA	—	111	93	23	4	0	3	14	23	1	4	1	247	352	387	739	140	294	21	13	328	86	—	—	—	—	—	—
ROS	21	A MLE	LAA	0%	10	9	1	0	0	0	1	2	0	0	0	111	200	111	311		281	20	10	296	87	-0	+0	+0	-0	+0	-0.0
TOT	21	A MLE	LAA	—	559	492	109	19	4	13	53	133	7	25	9	222	306	356	662	134	274	24	9	295	86	-9	+1	+0	-6	+12	-0.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	LAA	43%	581	515	117	19	5	14	55	139	6	13	5	227	309	365	674	138	282	24	9	302	91	-6	+1	+0	-6	+13	0.1
2028	23	MLB MLE	LAA	61%	609	540	125	21	5	15	58	142	6	13	5	231	313	372	685	141	283	23	10	309	95	-3	+1	+0	-7	+13	0.4
2029	24	MLB MLE	LAA	66%	627	555	131	22	5	17	60	144	7	13	5	236	318	386	704	150	285	23	10	314	98	-1	+1	+0	-7	+14	0.6
2030	25	MLB MLE	LAA	69%	638	564	133	22	5	18	62	145	7	13	5	236	319	388	707	152	285	23	10	316	100	+0	+1	+0	-7	+14	0.8
2031	26	MLB MLE	LAA	70%	637	563	133	22	5	18	62	145	7	12	4	236	320	389	709	153	285	23	10	317	101	+1	+1	+0	-7	+14	0.9
2032	27	MLB MLE	LAA	69%	629	555	132	22	5	18	62	144	7	12	4	238	322	393	715	155	285	23	10	317	101	+1	+1	+0	-7	+14	0.9
2033	28	MLB MLE	LAA	68%	619	545	128	21	5	17	62	142	7	11	4	235	321	385	706	150	284	23	10	317	100	+0	+1	-1	-7	+13	0.7
2034	29	MLB MLE	LAA	67%	609	537	126	21	5	17	61	141	6	10	4	235	320	387	707	153	284	23	10	315	99	-1	+0	-1	-7	+13	0.5
2035	30	MLB MLE	LAA	66%	598	527	122	20	4	16	60	140	6	9	3	231	317	376	693	144	283	23	10	312	98	-2	+1	-2	-6	+13	0.3
2036	31	MLB MLE	LAA	65%	587	517	118	20	4	15	59	139	6	8	3	228	314	369	684	141	281	24	10	308	95	-4	+0	-3	-6	+13	0.0
2037	32	MLB MLE	LAA	70%	576	507	113	18	4	14	58	139	6	7	3	223	310	357	667	134	278	24	10	303	91	-6	+0	-4	-6	+12	-0.3
2038	33	MLB MLE	LAA	74%	421	372	82	13	3	10	42	104	4	5	2	220	306	352	658	132	274	25	10	297	87	-7	+0	-4	-5	+9	-0.6
2039	34	MLB MLE	LAA	70%	375	331	71	11	3	8	37	95	4	4	1	215	301	338	639	124	269	25	10	288	81	-8	+0	-5	-4	+8	-0.9
2027	22	MLB CTX	LAA	43%	251	222	50	8	2	6	24	60	3	6	2	225	309	360	670	135	281	24	10	295	91	-3	+0	+0	-3	+5	0.0
2028	23	MLB CTX	LAA	61%	371	329	77	13	3	10	35	86	4	8	3	234	315	383	698	149	283	23	9	302	95	-2	+0	+0	-4	+8	0.2
2029	24	MLB CTX	LAA	66%	415	368	85	14	3	11	40	95	4	8	3	231	313	375	688	144	284	23	10	306	98	-1	+0	+0	-4	+9	0.4
2030	25	MLB CTX	LAA	69%	438	388	91	15	3	12	42	100	5	9	3	235	317	381	699	147	284	23	10	309	100	+0	+1	+0	-5	+9	0.6
2031	26	MLB CTX	LAA	70%	445	394	94	15	4	13	43	101	5	8	3	239	321	396	717	157	284	23	10	310	101	+0	+0	+0	-5	+10	0.6
2032	27	MLB CTX	LAA	69%	434	383	90	15	3	12	43	99	5	8	3	235	320	384	704	149	284	23	10	310	101	+1	+0	+0	-5	+9	0.6
2033	28	MLB CTX	LAA	68%	424	374	87	14	3	12	42	97	5	7	3	233	318	382	701	150	284	23	10	309	100	+0	+0	-0	-5	+9	0.5
2034	29	MLB CTX	LAA	67%	406	358	84	14	3	11	41	94	4	7	2	235	320	383	703	148	283	23	10	308	99	-0	+1	-1	-4	+9	0.4
2035	30	MLB CTX	LAA	66%	393	347	81	13	3	11	39	92	4	6	2	233	318	383	701	150	282	23	10	305	98	-1	+0	-1	-4	+9	0.2
2036	31	MLB CTX	LAA	65%	382	337	78	13	3	10	38	91	4	5	2	231	317	377	693	145	280	24	10	301	95	-2	+0	-2	-4	+8	0.0
2037	32	MLB CTX	LAA	70%	406	358	80	13	3	10	41	98	4	5	2	223	310	360	671	137	277	24	10	296	91	-4	+0	-2	-4	+9	-0.2
2038	33	MLB CTX	LAA	74%	312	275	60	9	2	8	31	77	3	3	1	218	304	353	657	135	274	25	10	290	87	-5	+0	-3	-3	+7	-0.4
2039	34	MLB CTX	LAA	70%	261	231	49	7	2	6	26	66	2	2	1	212	297	338	635	126	268	25	10	282	81	-6	+0	-3	-3	+6	-0.6
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4938	4364	1006	163	37	132	485	1156	52	82	30	231	315	376	690	145	282	23	10	303	95	-23	+4	-14	-53	+107	2.2
/ 162G	—	A+C		—	650	574	132	21	5	17	64	152	7	11	4	230	315	373	688	143	282	23	10	303	95	-3	+1	-2	-7	+14	0.3
Career	—	MLE		—	8186	7225	1678	270	67	206	800	1964	87	171	66	232	316	374	690	141	289	24	10	309	95	-36	+7	-20	-81	+163	3.4
/ 162G	—	MLE		—	650	574	132	21	5	16	64	156	7	14	5	230	315	368	682	138	286	24	10	309	95	-3	+1	-2	-7	+14	0.3

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Chris Younglast yr '18 career totals — 13 seasons, 5,316 PA	8.0	5,316	191	142	235	314	428	-0	+3	21.3	20.7
/162	664	24	18	-0.0	+0.4	2.7	pk7: 20
#2Brandon Ingelast yr '13 career totals — 13 seasons, 5,617 PA	8.5	5,617	152	45	233	301	384	+26	+73	19.8	20.5
/162	664	18	5	+3.1	+8.6	2.3	pk7: 21
#3Jackie Bradley Jr.last yr '23 career totals — 11 seasons, 4,192 PA	6.3	4,192	109	69	225	303	381	+6	+78	17.2	18.6
/162	664	17	11	+1.0	+12.3	2.7	pk7: 20
#4Rougned Odorlast yr '23 career totals — 10 seasons, 4,424 PA	6.7	4,424	178	70	230	288	422	+16	+32	15.2	15.0
/162	664	27	11	+2.4	+4.9	2.3	pk7: 15
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 10 projected seasons	7.8	5,203	135	89	232	312	376	+7	+25	13.6	11.6
/162	664	17	11	+0.8	+3.2	1.7	pk7: 10
#5Danny 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
#6Luis Valbuenalast yr '18 career totals — 10 seasons, 3,527 PA	5.3	3,527	113	10	226	311	395	+13	+1	10.5	11.2
/162	664	21	2	+2.4	+0.1	2.0	pk7: 12

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
Kevyn Castillo (OGILVIE)	21	45	30	45	55	221/304/347	126	281	6	10	24%	9%	87	+0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Carlos Vidal 2017 · A	21	48	43→45	49→50	48	234/302/348	114	288	10	12	22%	7%	85	+0.2	231/279/321	90	301	5	7	24%	6%	70	-0.9	236/282/326	90	306	4	6	23%	5%	69	-0.5
✕Noah Mendlinger 2022 · A	21	49→59	39→40	44→45	52	230/311/322	91	292	5	6	22%	9%	82	+0.0	244/332/321	77	296	4	8	17%	9%	91	+0.6	271/353/338	68	317	2	8	14%	8%	100	+1.0
✕Richi Sanchez 2015 · A	21	49	38→45	49→50	53	229/311/311	82	291	5	8	22%	10%	80	-0.1	212/272/290	78	279	3	7	23%	7%	60	-1.6	202/252/280	79	255	0	6	20%	6%	47	-0.6
✕Greg Garcia 2011 · A	21	46→55	40	44→50	43	222/277/317	96	274	7	8	22%	5%	69	-0.9	239/314/332	93	303	5	9	21%	8%	86	+0.3	240/350/332	92	308	6	3	21%	13%	98	+0.6
✕Noe Becerra 2008 · AAA	21	48	40→30	46→40	50	228/295/325	96	276	7	8	19%	8%	77	-0.3	210/273/290	80	268	7	8	23%	8%	61	-1.5	227/282/264	38	279	1	1	18%	7%	56	-0.5
✕Henry Henry 2008 · A	21	52	41→40	50→60	53	246/331/344	98	291	8	14	18%	9%	95	+1.0	238/298/316	78	271	5	21	13%	6%	76	-0.4	250/305/317	67	277	4	30	11%	6%	75	-0.2
●Justin Yurchak 2018 · A	21	51→61	44→40	49→40	53	251/319/370	119	297	12	4	19%	9%	96	+1.0	230/292/323	93	290	7	3	22%	8%	76	-0.4	278/341/383	104	343	10	2	20%	8%	105	+1.0
✕Marcus Lemon 2009 · A	21	50→53	40	45	47	240/301/340	100	298	6	9	21%	7%	82	+0.0	239/283/316	77	294	3	8	19%	5%	70	-0.9	235/284/324	88	297	4	6	21%	6%	68	-0.5
✕Edgar Rondon 2016 · A	21	50	38→40	52→50	45	231/304/321	90	315	3	12	26%	7%	80	-0.2	213/282/287	74	343	3	10	36%	7%	64	-1.3	171/249/199	28	339	0	12	45%	7%	30	-0.7
✕Cole Young 2023 · A	20	50→51	46→45	49→50	47	248/302/374	126	296	14	11	21%	7%	91	+0.7	233/316/354	121	279	10	13	19%	9%	92	+0.7	238/315/361	123	274	12	9	17%	8%	91	+0.6
✕Canaan Smith-Njigba 2019 · A	20	45→50	41→45	46→55	51	216/301/314	97	294	9	7	28%	10%	77	-0.3	232/302/345	113	325	10	11	29%	9%	84	+0.2	233/308/347	114	330	9	15	29%	10%	84	+0.1
✕Luis Alvarez 2011 · A	21	47	42→45	48→45	45	228/296/337	109	289	9	6	24%	7%	80	-0.1	219/274/328	109	275	11	5	24%	5%	70	-0.8	212/264/322	110	252	12	1	21%	4%	62	-0.3
✕David Martin 2023 · A	22	45	39→30	49→30	42	211/285/300	89	297	5	7	29%	6%	68	-1.0	221/302/288	67	277	4	4	20%	8%	72	-0.7	240/332/298	58	287	4	1	16%	10%	84	+0.1
✕Alek Thomas 2021 · A	21	50→54	42→50	48→50	43	238/291/351	112	318	9	10	27%	6%	81	-0.1	246/300/391	145	306	13	11	23%	6%	94	+0.9	245/298/391	146	296	14	11	21%	6%	91	+0.6
●J.P. Crawford 2015 · A	20	52→58	41→45	46→50	51	249/316/346	97	301	9	15	20%	9%	90	+0.6	231/301/326	95	276	7	10	18%	9%	79	-0.2	261/353/385	124	305	11	2	17%	11%	110	+2.2
✕Elias Arias 2015 · A	21	49	36→30	47→55	49	229/297/294	65	290	4	16	21%	8%	71	-0.8	201/258/275	74	289	5	11	30%	7%	51	-2.2	161/210/245	83	254	7	9	38%	5%	23	-0.9
✕Chase Fontaine 2007 · A	21	48→52	40	46→45	48	227/300/317	90	309	7	6	27%	9%	78	-0.3	227/296/309	82	325	5	6	29%	9%	74	-0.6	228/298/308	81	325	4	5	29%	9%	72	-0.4
✕Daniel Vellojin 2021 · A	21	45	39→45	47→45	51	215/298/306	91	267	6	8	21%	9%	74	-0.5	199/293/310	111	279	10	5	29%	11%	74	-0.5	178/276/286	107	248	11	4	30%	11%	60	-0.8
✕Leo Jiménez 2023 · A	22	46→49	40→45	48→45	49	216/322/312	96	283	8	9	24%	9%	86	+0.3	226/314/335	109	285	10	7	23%	7%	88	+0.4	228/319/335	107	286	10	5	22%	7%	87	+0.2
✕Casey Turgeon 2015 · A	22	49	40	47→45	53	232/312/331	99	279	7	7	19%	9%	85	+0.2	208/295/293	85	264	5	7	21%	10%	71	-0.8	193/286/275	81	246	6	7	22%	10%	61	-0.7

Career Stats + Projections

Career Comps

Career Path Comps