Juan Hernandez — OGILVIE

Juan HernandezSS West Michigan Whitecaps

Age 20 L/R 6'0" / 160 lbs A+ HR -8% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION296 act + 10 ros · stats below = ROS only

showingROS

wRC+†29

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

PA10

HR0

K%40

BB%10

BABIP288

ISO51

MLB%0%

Value2026 · WAR

trajectory · projected WAR by year

Tools · ContractCON 40 / POW 20

Toolsscout grade

CONTACT40

scouting grade only

POWER20

scouting grade only

EYE35

scouting grade only

SPEED55

scouting grade only

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.9M	—	—	—
2031	Ext	beyond projection horizon · no WAR estimate
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-1M	+$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.

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 Tigers 2	—	173	144	42	9	0	1	24	29	5	6	5	292	410	375	785	83	360	17	14	364	133	+7	-1	—	—	+4	1.0
2024	18	ROK	FCL Tigers	—	176	153	37	5	1	3	17	41	6	3	1	242	341	346	687	105	312	23	10	318	101	+0	+0	—	—	+4	0.4
2025	19	A	Lakeland Flying Tigers	—	20	16	5	0	0	0	3	4	1	0	0	312	450	312	762		417	20	15	368	135	+1	+0	—	—	+0	0.1
2025	19	ROK	FCL Tigers	—	159	136	36	5	0	0	15	35	5	9	3	265	359	301	660	37	346	22	9	306	93	-1	+1	—	—	+3	0.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Tigers 2	—	173	153	34	6	0	1	15	43	5	6	5	222	312	281	593	59	292	25	9	261	63	-8	-1	—	—	+4	-0.5
2024	18	ROK MLE	FCL Tigers	—	176	160	27	3	1	2	10	59	6	3	1	169	244	237	482	69	250	34	6	217	33	-14	+0	—	—	+4	-1.0
2025	19	A MLE	Lakeland Flying Tigers	—	20	17	4	0	0	0	2	6	1	0	0	235	350	235	585		365	30	10	292	84	-0	+0	—	—	+0	0.0
2025	19	ROK MLE	FCL Tigers	—	159	142	28	3	0	0	9	50	5	9	3	197	269	218	488	21	290	31	6	228	40	-11	+1	—	—	+3	-0.7
2023	17	ROK MLE	DSL Tigers 2	—	173	153	34	6	0	1	15	43	5	6	5	222	312	281	593	59	303	25	9	261	63	—	—	—	—	—	—
2023	17	ROK RAW	DSL Tigers 2	—	173	144	42	9	0	1	24	29	5	6	5	292	410	375	785	83	360	17	14	364	63	—	—	—	—	—	—
2024	18	ROK MLE	FCL Tigers	—	176	160	27	3	1	2	10	59	6	3	1	169	244	237	482	69	253	34	6	217	33	—	—	—	—	—	—
2024	18	ROK RAW	FCL Tigers	—	176	153	37	5	1	3	17	41	6	3	1	242	341	346	687	105	312	23	10	318	33	—	—	—	—	—	—
2025	19	ROK MLE	2 teams	—	179	158	32	3	0	0	12	56	6	9	3	203	284	222	506	19	305	31	7	235	45	—	—	—	—	—	—
2025	19	ROK RAW	2 teams	—	179	152	41	5	0	0	18	39	6	9	3	270	369	303	672	33	353	22	10	313	45	—	—	—	—	—	—
2023	17	ROK MLE	DSL Tigers 2	—	173	151	34	6	0	1	15	43	5	6	5	225	312	285	597	60	292	25	9	261	63	—	—	—	—	—	—
2024	18	ROK MLE	FCL Tigers	—	176	158	27	3	1	2	10	59	6	3	1	171	244	241	485	70	250	34	6	217	33	—	—	—	—	—	—
2025	19	ROK MLE	2 teams	—	179	159	32	3	0	0	12	56	6	9	3	201	284	220	504	19	298	31	7	235	45	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	17	ROK MLE	DSL Tigers 2	—	173	151	34	6	0	1	15	43	5	6	5	225	312	285	597	60	292	25	9	261	63	—	—	—	—	—	—
2024	18	ROK MLE	FCL Tigers	—	176	158	27	3	1	2	10	59	6	3	1	171	244	241	485	70	250	34	6	217	33	—	—	—	—	—	—
2025	19	ROK MLE	2 teams	—	179	159	32	3	0	0	12	56	6	9	3	201	284	220	504	19	298	31	7	235	45	—	—	—	—	—	—
YTD	20	A+ MLE	DET	—	296	278	46	5	1	2	15	134	2	1	1	165	214	212	426	47	308	45	5	191	15	-30	-0	+0	+3	+6	-2.1
▸ 2026 season
YTD	20	A+ RAW	DET	—	296	272	58	7	1	3	21	99	2	1	1	213	275	279	554	66	322	33	7	255	15	—	—	—	—	—	—
ROS	20	A+ MLE	DET	0%	10	9	1	0	0	0	1	4	0	0	0	111	200	111	311		292	40	10	211	29	-1	+0	+0	+0	+0	-0.1
TOT	20	A+ MLE	DET	—	306	287	47	5	1	2	16	138	2	1	1	164	213	209	422	45	304	45	5	192	16	-31	-0	+0	+3	+7	-2.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	21	MLB MLE	DET	35%	327	300	56	8	1	4	20	122	4	3	1	187	247	260	507	73	292	37	6	232	43	-22	+0	+0	+4	+7	-1.2
2028	22	MLB MLE	DET	49%	421	386	74	11	1	7	27	151	5	4	2	192	254	280	533	88	293	36	6	246	53	-24	+0	+0	+5	+9	-1.0
2029	23	MLB MLE	DET	54%	478	438	86	13	1	9	31	167	6	4	2	196	259	292	551	96	294	35	6	254	58	-24	+0	+0	+5	+10	-0.8
2030	24	MLB MLE	DET	55%	514	467	94	14	2	10	35	176	7	5	2	201	267	304	571	103	294	34	7	259	62	-24	+0	+0	+6	+11	-0.7
2027	21	MLB CTX	DET	35%	113	104	19	3	0	1	7	42	1	1	0	183	241	240	481	58	287	37	6	219	43	-8	+0	+0	+1	+2	-0.4
2028	22	MLB CTX	DET	49%	204	186	36	5	1	3	13	73	3	2	1	194	257	280	537	86	288	36	6	232	53	-12	+0	+0	+2	+4	-0.5
2029	23	MLB CTX	DET	54%	259	237	47	7	1	5	17	90	3	2	1	198	261	300	560	101	289	35	7	241	58	-13	+0	+0	+3	+6	-0.5
2030	24	MLB CTX	DET	55%	285	260	53	8	1	6	19	98	4	3	1	204	269	312	580	108	289	34	7	245	62	-13	+0	+0	+3	+6	-0.4
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	861	787	155	23	3	15	56	303	11	8	3	197	260	291	551	94	296	35	7	237	53	-45	+0	+0	+9	+19	-1.7
/ 162G	—	A+C		—	650	594	116	17	2	11	42	229	8	6	2	195	257	286	544	91	294	35	6	237	53	-34	+0	+0	+7	+14	-1.3
Career	—	MLE		—	2278	2071	404	58	6	33	151	778	39	34	16	195	263	277	539	82	292	34	7	247	53	-94	+0	+0	+19	+38	-3.8
/ 162G	—	MLE		—	650	591	116	17	2	9	43	222	11	10	5	196	263	277	541	81	295	34	7	247	53	-35	+0	+0	+7	+14	-1.4

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
#2John McDonaldlast yr '14 career totals — 13 seasons, 2,596 PA	3.9	2,596	28	34	233	273	324	+20	+54	4.2	5.1
/162	664	7	9	+5.0	+13.9	1.1	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
#4Ryan 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
#5Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	0.4	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 2 projected seasons	1.3	863	15	8	198	258	292	+9	+6	-1.1	-0.6
/162	664	12	6	+7.1	+4.6	-0.9	pk7: 0
#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
Juan Hernandez (OGILVIE)	20	40	20	55	35	172/229/221	49	292	1	2	40%	6%	29	-1.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Sean McCraw 2006 · A	20	42	37→30	48→30	39	199/263/265	66	298	5	5	33%	6%	51	-2.2	212/290/298	86	301	8	4	29%	9%	70	-0.9	207/292/281	74	290	7	3	28%	10%	65	-0.5
✕Yeniel Laboy 2023 · A	19	43	37→30	51→45	39	200/258/272	72	317	4	9	36%	7%	51	-2.2	194/274/251	57	279	3	6	29%	9%	53	-2.1	176/266/215	39	252	2	5	28%	9%	41	-1.2
✕Alejandro Juvier 2016 · A	20	41→43	35→30	52→45	35	194/235/253	59	286	2	9	32%	4%	37	-3.3	196/236/253	57	305	3	6	35%	4%	38	-3.2	188/228/233	46	293	3	3	35%	4%	27	-1.7
✕Cody Livesay 2013 · A	20	44	35→30	48→55	41	201/265/259	58	320	3	10	36%	8%	51	-2.3	224/280/268	44	291	2	17	22%	7%	58	-1.7	238/294/256	19	296	0	24	18%	7%	57	-0.5
✕T.J. Schofield-Sam 2021 · A	20	43→47	36→40	50→40	43	201/262/270	69	294	4	7	31%	7%	52	-2.2	211/264/306	95	291	7	5	29%	5%	61	-1.5	215/266/305	89	282	7	4	25%	3%	60	-1.2
✕Deivis Nadal 2022 · A	20	39	35→40	46→55	38	185/249/239	55	271	3	11	31%	5%	41	-3.0	170/249/254	84	310	6	18	43%	8%	45	-2.7	140/228/232	93	275	7	23	47%	9%	30	-1.5
✕Garrison Lassiter 2011 · A	21	41	36→30	48→40	38	191/250/253	62	306	4	6	37%	6%	43	-2.8	206/258/275	69	345	4	7	39%	6%	51	-2.2	233/286/286	53	372	2	3	35%	6%	61	-0.6
✕Ricardo Andujar 2013 · A	20	42→45	35→30	48→50	46	195/275/255	60	279	2	9	29%	8%	54	-2.0	209/276/266	57	275	1	11	22%	8%	56	-1.9	225/269/285	60	297	2	12	24%	5%	54	-1.1
✕Shane Mardirosian 2016 · A	20	42→40	37→40	50→45	39	199/247/278	79	276	4	13	28%	5%	48	-2.5	198/248/267	69	278	4	8	29%	5%	46	-2.6	190/242/254	64	264	4	7	28%	5%	39	-1.6
✕Chad Johnson 2014 · A	20	42→44	37→40	49→40	41	196/259/266	70	295	4	3	33%	7%	50	-2.3	204/271/279	75	344	5	3	38%	8%	57	-1.8	198/270/272	74	341	5	2	40%	8%	54	-1.2
✕David Berres 2008 · A	21	37	34→30	47→45	36	176/234/223	47	286	2	10	37%	6%	31	-3.7	208/278/264	56	288	3	7	26%	8%	57	-1.8	214/295/252	38	292	3	6	25%	10%	57	-1.0
✕Jose Dilone 2022 · A	21	40	35→30	49→55	39	187/249/240	53	284	2	11	33%	6%	40	-3.0	191/272/268	77	336	6	12	41%	9%	57	-1.8	166/266/237	71	306	7	17	43%	11%	45	-0.6
✕Cesar Baez 2015 · A	20	40	34→30	47→50	42	186/258/240	54	284	1	12	32%	7%	44	-2.8	206/278/266	60	309	2	10	31%	8%	57	-1.8	202/285/228	25	305	0	12	30%	10%	49	-0.6
✕Luis Castillo 2022 · A	20	38	35→30	52→45	40	173/254/237	64	294	2	8	38%	8%	43	-2.8	170/276/263	93	303	7	8	41%	11%	58	-1.7	94/263/210	115	143	12	6	39%	17%	42	-0.7
✕Roberto Reyes 2009 · A	20	36	35→40	52→55	39	168/240/232	64	278	2	8	37%	7%	36	-3.4	188/254/272	84	309	5	11	38%	7%	50	-2.3	179/244/258	79	276	6	10	35%	7%	41	-1.1
✕Nicolas Febres 2018 · A	19	38	36→30	51→45	33	181/234/249	68	298	3	8	38%	4%	37	-3.3	201/274/256	55	248	1	6	18%	8%	53	-2.1	195/278/231	36	232	0	5	14%	9%	47	-0.9
✕Connor Oliver 2014 · A	20	40→45	35→40	49→50	40	190/236/251	60	265	2	9	28%	6%	37	-3.3	192/246/264	72	280	3	10	30%	6%	45	-2.7	184/240/256	72	266	3	10	30%	6%	37	-2.0
✕Jose Luis Javier 2013 · A	20	41	35→30	50→55	37	191/246/254	63	301	3	14	35%	6%	42	-2.9	212/266/279	67	314	3	16	31%	6%	55	-1.9	221/273/277	56	320	2	24	30%	6%	53	-0.9
✕Hector Hernandez 2015 · A	19	36	35→30	50→45	39	172/233/229	57	260	2	8	33%	6%	32	-3.7	188/259/249	61	277	2	8	30%	7%	47	-2.6	176/255/229	53	257	1	8	29%	8%	39	-1.1
✕Julio Garcia 2017 · A	20	36	34→40	52→40	34	175/212/226	51	267	2	12	34%	4%	22	-4.4	188/223/256	68	295	3	4	35%	4%	33	-3.6	171/203/232	61	276	3	2	38%	3%	18	-2.4

Career Stats + Projections

Career Comps

Career Path Comps