Kevyn Castillo

LF Rancho Cucamonga Quakes

Age 22 L/L 5'10" / 170 lbs A K +5%HR +4% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

OGV OFP35OGV rank#2399ETA2028MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	19	ASEA	196	.292/.376/.415	4	8	76	—	.237/.304/.328
2025	20	ASEA	192	.285/.399/.399	2	6	88	—	.247/.335/.349
2026	21	A+/ALAA	549	.277/.387/.453	15	25	90	—	.230/.315/.371
2027PROJMLE	22	MLBLAA	576	.222/.304/.344	11	13	85	0.3
2028PROJ43% MLB	23	MLBLAA	195	.225/.307/.353	4	4	88	-0.0
2029PROJ58% MLB	24	MLBLAA	320	.228/.310/.361	7	6	91	0.1

Next 3 projected WAR 0.3Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2037Service0.0First FA2038

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Pre-Arb$1.0M+3

Skills · percentileMiLB Statcast 2026 A+

Z-Con%99

Whiff%88

K%67

BB%59

wRC+51

ISO45

Career WAR0.0 WAR median (P10 -0.1 / P90 6.1, comp-based) · star 4% · didn't stick 75%

CompsNelson Quiroz (age 22) · Luke Shliger (age 22) · Canaan Smith-Njigba (age 22)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 210 proj PA

wRC+†85

AVG/OBP/SLG.220 / .302 / .341

PA210

HR4

SB5

K%25

BB%9

ISO122

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$0M 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 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
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	$0.9M	—	—	—
2034	Pre-Arb	$1.0M	—	—	—
2035	Arb-1	$0.2M	—	—	—
2036	Arb-2	$0.4M	—	—	—
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-3M	+$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. 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)
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	17	—	—	—	—	—	—
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	97	—	—	—	—	—	—
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	76	—	—	—	—	—	—
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	88	—	—	—	—	—	—
2026	21	A+	Tri-City Dust Devils	—	111	93	23	4	0	3	14	23	1	4	1	247	352	387	739	140	294	21	13	328	68	—	—	—	—	—	—
2026	21	A	Rancho Cucamonga Quakes	—	438	366	104	20	6	12	62	74	6	21	8	284	396	470	866	186	325	17	14	383	95	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL Angels	—	48	42	6	2	0	0	4	21	1	4	2	143	234	190	425	48	271	44	8	193	17	—	—	—	—	—	—
2023	18	ROK MLE	DSL Angels	—	234	198	50	7	4	2	28	44	2	23	9	253	351	359	709	106	294	19	12	311	97	—	—	—	—	—	—
2024	19	A MLE	Inland Empire 66ers	—	196	177	42	5	1	3	14	75	3	8	4	237	304	328	632	90	383	38	7	281	76	—	—	—	—	—	—
2025	20	A MLE	Inland Empire 66ers	—	192	166	41	3	4	2	20	53	2	6	3	247	335	349	685	102	335	28	10	299	88	—	—	—	—	—	—
2026	21	A+ MLE	Tri-City Dust Devils	—	111	97	20	3	0	3	10	31	1	4	1	206	287	330	617	124	263	28	9	268	68	—	—	—	—	—	—
2026	21	A MLE	Rancho Cucamonga Quakes	—	438	385	91	16	5	10	43	101	6	21	8	236	323	382	704	145	288	23	10	308	95	—	—	—	—	—	—
2022	17	ROK MLE	DSL Angels	—	48	42	6	2	0	0	4	21	1	4	2	143	234	190	425	48	286	44	8	193	17	—	—	—	—	—	—
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	17	—	—	—	—	—	—
2023	18	ROK MLE	DSL Angels	—	234	198	50	7	4	2	28	44	2	23	9	253	351	359	709	106	308	19	12	311	97	—	—	—	—	—	—
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	97	—	—	—	—	—	—
2024	19	A MLE	Inland Empire 66ers	—	196	177	42	5	1	3	14	75	3	8	4	237	304	328	632	90	390	38	7	281	76	—	—	—	—	—	—
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	76	—	—	—	—	—	—
2025	20	A MLE	Inland Empire 66ers	—	192	166	41	3	4	2	20	53	2	6	3	247	335	349	685	102	345	28	10	299	88	—	—	—	—	—	—
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	88	—	—	—	—	—	—
2026	21	A MLE	2 teams	—	549	482	111	20	5	12	53	132	7	25	9	230	315	367	683	137	289	24	10	300	89	—	—	—	—	—	—
2026	21	A RAW	2 teams	—	549	459	127	24	6	15	76	97	7	25	9	277	387	453	841	176	319	18	14	372	89	—	—	—	—	—	—
2022	17	ROK MLE	DSL Angels	—	48	43	6	2	0	0	4	21	1	4	2	140	234	186	420	47	271	44	8	193	17	—	—	—	—	—	—
2023	18	ROK MLE	DSL Angels	—	234	202	50	7	4	2	28	44	2	23	9	248	351	351	702	104	294	19	12	311	97	—	—	—	—	—	—
2024	19	A MLE	Inland Empire 66ers	—	196	177	42	5	1	3	14	75	3	8	4	237	304	328	632	90	383	38	7	281	76	—	—	—	—	—	—
2025	20	A MLE	Inland Empire 66ers	—	192	168	41	3	4	2	20	53	2	6	3	244	335	345	680	101	335	28	10	299	88	—	—	—	—	—	—
2026	21	A MLE	2 teams	—	549	484	111	20	5	12	53	132	7	25	9	229	315	366	681	136	283	24	10	300	89	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	19	A MLE	Inland Empire 66ers	—	196	177	42	5	1	3	14	75	3	8	4	237	304	328	632	90	383	38	7	281	76	—	—	—	—	—	—
2025	20	A MLE	Inland Empire 66ers	—	192	168	41	3	4	2	20	53	2	6	3	244	335	345	680	101	335	28	10	299	88	—	—	—	—	—	—
2026	21	A MLE	2 teams	—	549	484	111	20	5	12	53	132	7	25	9	229	315	366	681	136	283	24	10	300	89	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	LAA	0%	576	510	113	19	5	11	55	143	6	13	5	222	304	344	648	122	283	25	10	293	85	-11	+1	+0	-6	+12	0.3
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	LAA	43%	451	400	91	15	4	10	43	110	5	9	3	226	308	355	663	129	284	24	10	299	88	-6	+1	+0	-5	+10	-0.1
2029	24	MLB MLE	LAA	58%	552	488	112	19	5	12	53	133	6	11	4	229	311	362	673	134	285	24	10	303	91	-6	+1	+0	-6	+12	0.1
2030	25	MLB MLE	LAA	65%	569	503	115	19	5	13	55	136	6	11	4	230	312	367	679	137	286	24	10	305	93	-5	+1	+0	-6	+12	0.2
2031	26	MLB MLE	LAA	68%	568	503	116	20	5	13	54	135	6	10	4	231	313	369	682	138	286	24	10	306	93	-5	+0	+0	-6	+12	0.2
2032	27	MLB MLE	LAA	68%	561	496	115	20	5	13	54	134	6	9	4	231	312	368	681	138	286	24	10	306	93	-5	+0	+0	-6	+12	0.2
2033	28	MLB MLE	LAA	73%	551	488	112	19	4	13	53	133	5	8	3	229	310	364	674	135	285	24	10	303	91	-6	+0	-1	-6	+12	0.0
2034	29	MLB MLE	LAA	76%	521	462	105	18	4	12	49	127	5	6	3	227	308	358	665	131	284	24	9	300	89	-7	+0	-1	-6	+11	-0.3
2035	30	MLB MLE	LAA	78%	509	451	101	17	4	11	48	126	5	5	3	224	304	350	655	127	282	25	9	295	86	-8	-0	-2	-5	+11	-0.5
2036	31	MLB MLE	LAA	79%	492	439	97	16	4	10	46	123	4	3	5	220	300	341	641	121	280	25	9	290	82	-10	-1	-3	-5	+11	-0.9
2028	23	MLB CTX	LAA	43%	195	172	39	6	2	4	19	47	2	4	1	225	307	353	661	129	282	24	10	298	88	-3	+0	+0	-2	+4	-0.0
2029	24	MLB CTX	LAA	58%	320	283	64	10	3	7	31	77	3	6	2	228	310	361	671	134	283	24	10	302	91	-3	+0	+0	-3	+7	0.1
2030	25	MLB CTX	LAA	65%	369	327	75	12	3	9	35	88	4	7	3	229	311	365	677	136	284	24	9	304	93	-3	+0	+0	-4	+8	0.1
2031	26	MLB CTX	LAA	68%	386	342	78	13	3	9	37	92	4	7	3	230	312	367	679	138	284	24	10	305	93	-3	+0	+0	-4	+8	0.1
2032	27	MLB CTX	LAA	68%	381	338	78	13	3	9	36	91	4	6	2	229	311	367	678	137	284	24	9	305	93	-3	+0	+0	-4	+8	0.1
2033	28	MLB CTX	LAA	73%	404	358	82	13	3	10	39	97	4	6	2	228	309	362	672	135	283	24	10	302	91	-4	+0	-1	-4	+9	0.0
2034	29	MLB CTX	LAA	76%	396	351	79	13	3	9	38	96	4	5	2	225	307	356	663	131	282	24	10	299	89	-5	+0	-1	-4	+9	-0.2
2035	30	MLB CTX	LAA	78%	397	353	79	13	3	9	37	98	4	4	2	223	303	349	652	126	280	25	9	294	86	-7	+0	-2	-4	+9	-0.4
2036	31	MLB CTX	LAA	79%	390	348	76	12	3	8	36	98	3	2	4	219	299	339	638	121	277	25	9	289	82	-8	-1	-2	-4	+8	-0.8
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3238	2872	650	105	26	74	308	784	32	47	21	226	308	358	667	132	284	24	10	300	89	-40	+1	-5	-35	+70	-0.9
/ 162G	—	A+C		—	650	577	130	21	5	15	62	157	6	9	4	225	307	357	664	132	282	24	10	300	89	-8	+0	-1	-7	+14	-0.2
Career	—	MLE		—	6203	5481	1256	207	56	130	594	1534	65	143	62	229	312	359	670	129	292	25	10	299	89	-61	+1	-7	-53	+108	-1.3
/ 162G	—	MLE		—	650	574	132	22	6	14	62	161	7	15	6	230	313	362	675	132	293	25	10	299	89	-8	+0	-1	-7	+14	-0.2

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 ARancho Cucamonga Quakes · 438 PAwOBA .375 → .308 (−67)K% 16.9% → 23.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.89%	÷1.000	×1.360	—	—	22.98%
BB% (unintentional) /PA	13.93%	÷1.000	×0.690	—	×1.015	9.75%
HBP% /PA	1.37%	—	×0.780	—	×1.015	1.08%
Singles /BIP	22.60%	÷1.000	×0.920	×0.976	×1.015	20.61%
Doubles /BIP	6.85%	÷1.000	×0.830	×0.976	×1.015	5.63%
Triples /BIP	2.05%	÷1.000	×0.910	×0.976	×1.015	1.85%
Home runs /BIP	4.11%	÷1.000	×0.800	—	×1.015	3.34%

Factors used: level-wide A 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 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.976.

Result: wOBA .375 → .308; ISO .186 → .153; BABIP .325 → .288. 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).

2026 A+Tri-City Dust Devils · 111 PAwOBA .322 → .268 (−54)K% 20.7% → 28.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.72%	÷1.000	×1.350	—	—	27.97%
BB% (unintentional) /PA	12.61%	÷1.000	×0.710	—	×1.027	9.20%
HBP% /PA	0.90%	—	×0.810	—	×1.027	0.75%
Singles /BIP	22.86%	÷1.000	×0.910	×0.981	×1.027	20.96%
Doubles /BIP	5.71%	÷1.000	×0.830	×0.981	×1.027	4.78%
Triples /BIP	0.00%	÷1.000	×0.820	×0.981	×1.027	0.00%
Home runs /BIP	4.29%	÷1.000	×0.830	—	×1.027	3.65%

Factors used: level-wide A+ 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 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.981.

Result: wOBA .322 → .268; ISO .140 → .117; BABIP .294 → .263. 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 AInland Empire 66ers · 192 PAwOBA .352 → .299 (−53)K% 20.3% → 27.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.31%	÷1.008	×1.360	—	—	27.39%
BB% (unintentional) /PA	14.58%	÷1.011	×0.690	—	×1.030	10.26%
HBP% /PA	1.04%	—	×0.780	—	×1.030	0.84%
Singles /BIP	29.41%	÷1.066	×0.920	×1.050	×1.030	27.44%
Doubles /BIP	3.36%	÷1.065	×0.830	×1.050	×1.030	2.83%
Triples /BIP	3.36%	÷0.997	×0.910	×1.050	×1.030	3.32%
Home runs /BIP	1.68%	÷1.036	×0.800	—	×1.030	1.34%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 107, 1B 113, 2B 113, 3B 99, K 102, BB 102 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .352 → .299; ISO .114 → .101; BABIP .361 → .335. 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 AInland Empire 66ers · 196 PAwOBA .347 → .281 (−66)K% 27.0% → 38.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.04%	÷0.957	×1.360	—	—	38.44%
BB% (unintentional) /PA	10.20%	÷1.057	×0.690	—	×1.045	6.96%
HBP% /PA	1.53%	—	×0.780	—	×1.045	1.25%
Singles /BIP	32.20%	÷0.983	×0.920	×1.005	×1.045	31.66%
Doubles /BIP	5.93%	÷1.023	×0.830	×1.005	×1.045	5.06%
Triples /BIP	0.85%	÷1.139	×0.910	×1.005	×1.045	0.71%
Home runs /BIP	3.39%	÷0.882	×0.800	—	×1.045	3.21%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 76, 1B 97, 2B 105, 3B 128, K 91, BB 111 — applied at half strength. Age: age 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.005.

Result: wOBA .347 → .281; ISO .123 → .099; BABIP .400 → .383. 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 Angels · 234 PAwOBA .442 → .311 (−131)K% 15.4% → 18.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.38%	÷1.002	×1.220	—	—	18.73%
BB% (unintentional) /PA	17.09%	÷1.018	×0.700	—	×1.008	11.84%
HBP% /PA	0.85%	—	×0.700	—	×1.008	0.60%
Singles /BIP	32.67%	÷1.028	×0.680	×1.043	×1.008	22.72%
Doubles /BIP	6.67%	÷0.927	×0.600	×1.043	×1.008	4.54%
Triples /BIP	4.67%	÷1.150	×0.600	×1.043	×1.008	2.56%
Home runs /BIP	2.00%	÷0.852	×0.470	—	×1.008	1.11%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 70, 1B 106, 2B 85, 3B 130, K 100, BB 104 — 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 ×1.043.

Result: wOBA .442 → .311; ISO .177 → .112; BABIP .437 → .294. 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).

2022 DSLDSL Angels · 48 PAwOBA .289 → .193 (−96)K% 35.4% → 44.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	35.42%	÷0.976	×1.220	—	—	44.29%
BB% (unintentional) /PA	12.50%	÷1.074	×0.700	—	×1.022	8.33%
HBP% /PA	2.08%	—	×0.700	—	×1.022	1.49%
Singles /BIP	26.09%	÷1.016	×0.680	—	×1.022	17.85%
Doubles /BIP	13.04%	÷0.863	×0.600	—	×1.022	9.27%
Triples /BIP	0.00%	÷0.964	×0.600	—	×1.022	0.00%
Home runs /BIP	0.00%	÷0.801	×0.470	—	×1.022	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 60, 1B 103, 2B 73, 3B 93, K 95, BB 115 — 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).

Result: wOBA .289 → .193; ISO .075 → .051; BABIP .391 → .271. 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
#1Michael A. Taylorlast yr '25 career totals — 11 seasons, 3,758 PA	5.7	3,758	108	128	232	288	380	+12	+64	13.3	12.9
/162	664	19	23	+2.1	+11.2	2.3	pk7: 13
#2Chas McCormicklast yr '25 career totals — 5 seasons, 1,567 PA	2.4	1,567	56	37	247	321	413	+2	+14	7.3	7.3
/162	664	24	16	+0.8	+6.0	3.1	pk7: 7
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	5.2	3,448	76	52	228	306	360	+9	+18	6.4	6.0
/162	664	15	10	+1.8	+3.4	1.2	pk7: 6
#3Bob Bailor'75-'85 * career totals — 9 seasons, 3,206 PA	4.8	3,206	9	90	258*	309*	346*	+1	+30	4.6	5.4
/162	664	2	19	+0.2	+6.2	1.0	pk7: 6
#4Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#5Emil Brown'97-'09 * career totals — 7 seasons, 2,508 PA	3.8	2,508	59	52	247*	314*	388*	-25	+8	3.5	4.0
/162	664	16	14	-6.6	+2.1	0.9	pk7: 5
#6Carl Warwick'61-'66 * career totals — 5 seasons, 1,616 PA	2.4	1,616	31	13	245*	309*	381*	-9	-1	1.4	1.4
/162	664	13	5	-3.6	-0.6	0.6	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
Kevyn Castillo (OGILVIE)	22	45	30	45	55	220/302/341	121	283	4	5	25%	9%	85	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Nelson Quiroz 2024 · A	22	47	44→40	49→40	49	232/294/354	122	277	11	6	20%	8%	84	+0.1	243/290/320	77	279	4	3	14%	6%	74	-0.6	263/309/325	62	294	2	0	11%	6%	77	-0.1
✕Luke Shliger 2024 · A	22	48	39→40	47→50	46	228/295/315	87	300	6	9	25%	7%	75	-0.5	216/309/312	96	303	8	12	28%	10%	80	-0.1	213/312/314	101	295	10	14	28%	11%	82	-0.0
✕Canaan Smith-Njigba 2021 · A	22	50→51	44→45	50→55	47	239/306/363	124	325	11	10	28%	9%	90	+0.6	237/310/354	117	348	9	17	31%	10%	89	+0.5	237/311/358	121	351	9	21	32%	10%	87	+0.2
✕David Martin 2023 · A	22	45	39→30	49→30	42	211/284/299	89	296	5	7	29%	6%	68	-1.0	224/307/292	68	280	4	4	20%	9%	75	-0.5	244/339/302	58	293	4	1	16%	10%	87	+0.2
✕Noah Mendlinger 2023 · A	22	49→59	37→30	47→45	55	228/324/304	75	281	4	9	19%	10%	84	+0.1	257/342/331	74	304	3	8	15%	8%	97	+1.1	269/354/337	68	315	2	8	14%	8%	100	+1.0
✕Alexander Campos 2022 · A	22	43	42→40	46→45	49	206/292/311	105	279	9	6	28%	9%	74	-0.6	222/303/310	88	316	7	6	29%	9%	78	-0.3	239/331/311	72	336	7	6	28%	11%	86	+0.1
✕Graysen Tarlow 2024 · A	23	45	43→30	49→40	50	217/307/331	113	283	10	8	25%	9%	84	+0.1	211/291/285	74	299	6	6	29%	8%	68	-1.0	224/307/292	68	313	6	7	28%	8%	76	-0.1
✕Noe Becerra 2008 · AAA	21	49	40→30	46→40	50	234/302/332	98	282	7	8	19%	8%	81	-0.1	215/279/296	81	275	7	8	23%	8%	64	-1.3	235/291/274	39	289	1	1	18%	7%	62	-0.4
✕Josh Alley 2006 · A	22	50	38→40	44→50	58	235/325/309	75	284	6	9	19%	11%	85	+0.2	225/310/306	81	276	5	10	18%	11%	79	-0.2	229/317/312	83	277	4	11	17%	11%	80	-0.0
✕Javi Vaz 2023 · A	22	46→50	40	47→55	52	219/293/316	97	267	6	10	20%	9%	75	-0.5	227/301/321	94	255	7	18	14%	9%	78	-0.3	224/300/308	85	249	7	20	12%	9%	73	-0.6
✕Mike Boeve 2024 · A	22	50→53	48→40	49→45	45	245/306/384	139	326	15	7	29%	8%	95	+1.0	258/322/359	101	337	8	8	24%	8%	95	+0.9	257/324/350	93	335	8	9	24%	8%	91	+0.4
✕José Caballero 2019 · A	22	47→45	43→45	47→70	45	231/292/348	117	278	10	9	21%	6%	81	-0.1	219/292/328	109	283	9	26	25%	8%	78	-0.3	226/318/339	113	301	10	63	26%	9%	91	+0.4
✕Josh Fellhauer 2010 · A	22	48→53	46→40	47→45	45	239/292/371	132	278	12	9	19%	5%	87	+0.4	235/285/321	86	294	6	7	21%	6%	72	-0.7	263/328/345	81	342	3	5	22%	8%	91	+0.4
✕Casey Turgeon 2015 · A	22	48	40	47→45	53	228/307/326	97	275	7	7	19%	9%	82	+0.0	206/292/290	84	261	5	7	21%	10%	69	-0.9	191/283/271	80	243	6	7	22%	10%	60	-0.8
✕Nolan Fontana 2014 · A	23	45	40	52→50	60	209/326/308	98	294	7	14	28%	14%	86	+0.3	210/308/299	89	309	4	9	29%	12%	77	-0.3	186/292/310	124	256	11	12	29%	12%	73	-0.3
✕Carlos Vidal 2017 · A	21	46	42→45	49→50	49	226/296/336	110	274	9	12	21%	8%	80	-0.1	230/278/320	90	300	5	7	24%	6%	69	-0.9	235/281/325	90	304	4	6	23%	5%	68	-0.5
✕Leo Jiménez 2023 · A	22	48→52	41→45	48→45	51	225/337/325	100	294	8	9	24%	9%	95	+1.0	235/325/347	112	296	10	7	23%	7%	95	+0.9	237/330/347	110	299	10	5	22%	7%	95	+0.5
✕Michael Gigliotti 2018 · A	22	52	40	51→55	50	248/316/349	101	308	7	17	21%	8%	91	+0.6	231/297/318	87	305	5	20	24%	7%	76	-0.4	196/303/305	109	266	10	24	27%	11%	76	-0.2
✕Logan Vick 2014 · A	23	48	41→45	51→50	54	224/317/329	105	303	7	15	26%	12%	86	+0.3	193/282/288	95	290	7	13	32%	11%	65	-1.2	145/247/224	79	228	5	13	35%	11%	36	-2.2
✕Kevin Santa 2018 · A	23	51	42→40	47→50	49	247/311/349	102	286	10	14	17%	7%	88	+0.5	244/291/321	77	287	5	11	16%	5%	74	-0.6	259/299/323	64	297	3	11	13%	4%	73	-0.4

Kevyn Castillo

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps