Miguel Hernández

SS FCL Cardinals

Age 19 R/R 6'0" / 145 lbs ROK HR -14%BB -5% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP40OGV rank#330ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	17	ROKSTL	169	.281/.416/.444	5	15	55	—	.176/.295/.254
2026	18	A/ROKSTL	294	.282/.446/.520	11	18	99	—	.216/.344/.391
2027PROJMLE	19	MLBSTL	404	.215/.307/.345	9	8	86	0.4
2028PROJ31% MLB	20	MLBSTL	75	.221/.313/.356	2	1	92	0.2
2029PROJ48% MLB	21	MLBSTL	173	.225/.317/.368	4	3	96	0.5

Next 3 projected WAR 1.1Projected 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 A

Speed85

BB%78

Chase%75

Max EV67

Z-Con%39

K%38

Career WAR0.0 WAR median (P10 0.0 / P90 27, comp-based) · star 7% · didn't stick 70%

CompsHao-Yu Lee (age 20) · Michael Arroyo (age 19) · Sal Stewart (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 178 proj PA

wRC+†86

AVG/OBP/SLG.213 / .304 / .342

PA178

HR4

K%27

BB%10

ISO130

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$65M ctrl surplus

Contract

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	+1.3	$7M	+$6M
2034	Pre-Arb	$1.0M	+1.4	$7M	+$6M
2035	Pre-Arb	$1.0M	+1.3	$6M	+$5M
2036	Arb-1	$5M	+1.2	$5M	+$3M
2037	Arb-2	$7M	+1.0	$4M	+$1M
2038	Arb-3	$8M	+0.7	$1M	+$0.0M (cut)
Totals		$14M		$29M	+$22M

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)
2025	17	ROK	DSL Cardinals	—	169	135	38	5	1	5	25	35	6	15	4	281	416	444	860	163	337	21	15	383	55	—	—	—	—	—	—
2026	18	A	Palm Beach Cardinals	—	103	79	24	7	1	2	20	27	4	7	3	304	466	494	960	190	440	26	19	430	117	—	—	—	—	—	—
2026	18	ROK	FCL Cardinals	—	191	148	40	6	3	9	39	40	4	11	5	270	435	534	968	264	313	21	20	426	89	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Cardinals	—	169	142	25	3	1	2	18	44	6	15	4	176	295	254	549	77	219	26	11	249	55	—	—	—	—	—	—
2026	18	A MLE	Palm Beach Cardinals	—	103	84	22	6	1	2	15	37	4	7	3	262	398	429	827	167	409	36	15	341	117	—	—	—	—	—	—
2026	18	ROK MLE	FCL Cardinals	—	191	162	31	4	2	7	25	58	4	11	5	191	314	370	685	179	243	30	13	300	89	—	—	—	—	—	—
2025	17	ROK MLE	DSL Cardinals	—	169	142	25	3	1	2	18	44	6	15	4	176	295	254	549	77	232	26	11	249	55	—	—	—	—	—	—
2025	17	ROK RAW	DSL Cardinals	—	169	135	38	5	1	5	25	35	6	15	4	281	416	444	860	163	337	21	15	383	55	—	—	—	—	—	—
2026	18	ROK MLE	2 teams	—	294	247	52	10	3	9	39	94	8	18	8	211	337	385	721	174	299	32	13	314	99	—	—	—	—	—	—
2026	18	ROK RAW	2 teams	—	294	227	64	13	4	11	59	67	8	18	8	282	446	520	965	238	356	23	20	427	99	—	—	—	—	—	—
2025	17	ROK MLE	DSL Cardinals	—	169	143	25	3	1	2	18	44	6	15	4	175	295	252	547	77	219	26	11	249	55	—	—	—	—	—	—
2026	18	ROK MLE	2 teams	—	294	245	52	10	3	9	39	94	8	18	8	212	337	388	724	176	301	32	13	314	99	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	17	ROK MLE	DSL Cardinals	—	169	143	25	3	1	2	18	44	6	15	4	175	295	252	547	77	219	26	11	249	55	—	—	—	—	—	—
2026	18	ROK MLE	2 teams	—	294	245	52	10	3	9	39	94	8	18	8	212	337	388	724	176	301	32	13	314	99	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	19	MLB MLE	STL	0%	404	354	77	14	3	9	41	110	6	8	2	215	307	345	652	130	283	27	10	296	86	-7	+1	+0	+4	+9	0.4
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	20	MLB MLE	STL	31%	242	211	47	8	2	6	25	65	4	4	1	221	313	361	674	140	285	27	10	304	92	-2	+0	+0	+3	+5	0.6
2029	21	MLB MLE	STL	48%	361	315	71	13	2	10	37	95	6	6	2	225	317	374	691	148	287	26	10	311	96	-2	+0	+0	+4	+8	1.1
2030	22	MLB MLE	STL	57%	443	388	89	16	3	13	45	115	7	8	2	229	320	383	703	154	288	26	10	315	100	-0	+1	+0	+5	+10	1.5
2031	23	MLB MLE	STL	62%	494	433	100	18	3	15	50	126	8	8	3	232	322	390	712	158	289	26	10	319	102	+1	+0	+0	+5	+11	1.8
2032	24	MLB MLE	STL	63%	528	462	107	19	3	16	53	134	8	8	3	234	323	395	718	161	290	25	10	321	103	+2	+0	+0	+6	+11	2.0
2033	25	MLB MLE	STL	64%	550	482	113	20	4	17	55	139	8	9	3	234	324	397	720	163	290	25	10	322	104	+3	+1	+0	+6	+12	2.1
2034	26	MLB MLE	STL	64%	558	489	114	20	4	17	56	141	8	8	3	234	324	397	721	163	290	25	10	322	104	+3	+0	+0	+6	+12	2.2
2035	27	MLB MLE	STL	63%	558	489	114	20	4	17	56	142	8	8	3	233	323	395	718	162	289	25	10	321	103	+2	+0	+0	+6	+12	2.1
2036	28	MLB MLE	STL	62%	552	483	112	20	3	17	56	142	8	7	3	231	321	390	711	159	289	26	10	318	102	+1	+0	-1	+6	+12	1.9
2037	29	MLB MLE	STL	61%	539	472	108	19	3	16	54	140	8	6	3	229	318	384	702	155	287	26	10	315	99	-1	+0	-1	+6	+12	1.6
2038	30	MLB MLE	STL	60%	527	462	104	18	3	15	53	138	7	6	3	226	315	377	691	150	286	26	10	310	96	-2	+0	-2	+6	+11	1.3
2039	31	MLB MLE	STL	65%	510	448	99	17	3	14	50	136	7	4	5	222	310	367	677	145	283	27	10	305	92	-5	-1	-3	+5	+11	0.8
2040	32	MLB MLE	STL	68%	487	431	94	16	3	13	47	132	6	3	18	217	304	355	659	138	279	27	10	297	87	-7	-7	-4	+5	+11	-0.2
2028	20	MLB CTX	STL	31%	75	66	16	3	1	2	8	20	1	1	0	221	313	356	669	136	287	27	11	303	92	-1	+0	+0	+1	+2	0.2
2029	21	MLB CTX	STL	48%	173	150	33	6	1	4	18	45	3	3	1	225	317	368	685	143	289	26	10	309	96	-1	+0	+0	+2	+4	0.5
2030	22	MLB CTX	STL	57%	252	220	51	9	2	7	26	65	4	4	1	228	319	377	697	149	290	26	10	313	100	-0	+0	+0	+3	+5	0.9
2031	23	MLB CTX	STL	62%	305	266	61	11	2	8	31	78	5	5	2	231	321	384	705	153	291	26	10	316	102	+1	+0	+0	+3	+7	1.1
2032	24	MLB CTX	STL	63%	332	291	68	13	2	9	33	84	5	5	2	233	323	389	711	156	292	25	10	319	103	+1	+0	+0	+4	+7	1.3
2033	25	MLB CTX	STL	64%	350	307	71	13	2	10	35	89	5	5	2	234	323	391	714	157	292	25	10	320	104	+2	+0	+0	+4	+8	1.3
2034	26	MLB CTX	STL	64%	357	313	73	14	2	10	36	90	5	5	2	233	323	391	714	158	292	25	10	320	104	+2	+0	+0	+4	+8	1.4
2035	27	MLB CTX	STL	63%	352	308	71	13	2	10	36	90	5	5	2	232	322	389	711	156	291	26	10	318	103	+1	+0	+0	+4	+8	1.3
2036	28	MLB CTX	STL	62%	344	301	70	13	2	10	35	88	5	4	2	231	320	384	704	153	290	26	10	316	102	+1	+0	-0	+4	+7	1.2
2037	29	MLB CTX	STL	61%	327	286	65	12	2	9	33	85	5	4	2	228	318	378	696	150	289	26	10	313	99	-0	+0	-1	+4	+7	1.0
2038	30	MLB CTX	STL	60%	314	276	62	11	2	8	31	82	4	3	2	226	314	371	685	145	287	26	10	308	96	-1	-0	-1	+3	+7	0.7
2039	31	MLB CTX	STL	65%	329	290	64	12	2	8	32	88	4	3	4	222	310	362	671	140	285	27	10	303	92	-3	-1	-2	+4	+7	0.5
2040	32	MLB CTX	STL	68%	334	294	63	11	2	8	33	91	4	2	12	217	304	350	654	133	281	27	10	296	87	-5	-4	-2	+4	+7	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3844	3368	768	141	24	103	387	995	55	49	34	228	318	376	693	148	290	26	10	313	98	-4	-4	-7	+41	+83	11.2
/ 162G	—	A+C		—	650	570	130	24	4	17	65	168	9	8	6	228	317	374	690	146	290	26	10	313	98	-1	-1	-1	+7	+14	1.9
Career	—	MLE		—	6990	6109	1382	243	45	201	712	1832	110	121	65	226	318	379	697	153	287	26	10	313	98	-10	-4	-10	+70	+141	19.1
/ 162G	—	MLE		—	650	568	129	23	4	19	66	170	10	11	6	227	318	382	700	155	288	26	10	313	98	-1	-0	-1	+7	+14	1.9

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 Cardinals · 191 PAwOBA .416 → .300 (−115)K% 20.9% → 30.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.94%	÷1.000	×1.440	—	—	30.16%
BB% (unintentional) /PA	20.42%	÷1.000	×0.620	—	×1.022	12.94%
HBP% /PA	2.09%	—	×0.720	—	×1.022	1.54%
Singles /BIP	20.37%	÷1.000	×0.820	×0.977	×1.022	16.69%
Doubles /BIP	5.56%	÷1.000	×0.720	×0.977	×1.022	4.00%
Triples /BIP	2.78%	÷1.000	×0.720	×0.977	×1.022	2.00%
Home runs /BIP	8.33%	÷1.000	×0.780	—	×1.022	6.65%

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 18 vs a level average of 19.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.977.

Result: wOBA .416 → .300; ISO .264 → .200; BABIP .313 → .243. 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 APalm Beach Cardinals · 103 PAwOBA .420 → .341 (−80)K% 26.2% → 35.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.21%	÷1.000	×1.360	—	—	35.65%
BB% (unintentional) /PA	19.42%	÷1.000	×0.690	—	×1.050	14.07%
HBP% /PA	3.88%	—	×0.780	—	×1.050	3.18%
Singles /BIP	26.92%	÷1.000	×0.920	—	×1.050	26.01%
Doubles /BIP	13.46%	÷1.000	×0.830	—	×1.050	11.73%
Triples /BIP	1.92%	÷1.000	×0.910	—	×1.050	1.84%
Home runs /BIP	3.85%	÷1.000	×0.800	—	×1.050	3.23%

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 18 vs a level average of 22.0 → +5.0% on BB/HBP/hit rates (4.0 yr younger than average).

Result: wOBA .420 → .341; ISO .190 → .154; BABIP .440 → .409. 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 Cardinals · 169 PAwOBA .380 → .249 (−131)K% 20.7% → 26.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.71%	÷0.961	×1.220	—	—	26.30%
BB% (unintentional) /PA	14.79%	÷1.022	×0.700	—	×1.022	10.36%
HBP% /PA	3.55%	—	×0.700	—	×1.022	2.54%
Singles /BIP	27.00%	÷1.019	×0.680	×1.000	×1.022	18.44%
Doubles /BIP	5.00%	÷0.990	×0.600	×1.000	×1.022	3.10%
Triples /BIP	1.00%	÷1.150	×0.600	×1.000	×1.022	0.53%
Home runs /BIP	5.00%	÷1.047	×0.470	—	×1.022	2.30%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 109, 1B 104, 2B 98, 3B 130, K 92, BB 104 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.000.

Result: wOBA .380 → .249; ISO .163 → .084; BABIP .337 → .219. 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
#1Didi Gregoriuslast yr '22 career totals — 10 seasons, 4,238 PA	6.4	4,238	134	37	256	308	421	+45	-10	17.0	17.2
/162	664	21	6	+7.1	-1.5	2.7	pk7: 18
#2Mike Bordick'90-'03 * career totals — 13 seasons, 6,484 PA	9.8	6,484	91	96	250*	311*	357*	+65	-10	12.7	14.0
/162	664	9	10	+6.7	-1.0	1.3	pk7: 15
#3Jeimer Candelariolast yr '25 career totals — 9 seasons, 3,576 PA	5.4	3,576	110	19	237	316	412	+8	-5	12.7	13.0
/162	664	20	4	+1.6	-0.9	2.4	pk7: 13
#4Khalil Greenelast yr '09 career totals — 7 seasons, 2,835 PA	4.3	2,835	90	25	245	302	422	+30	+14	13.0	13.0
/162	664	21	6	+7.1	+3.2	3.0	pk7: 13
#5Dick Green'63-'74 * career totals — 10 seasons, 4,462 PA	6.7	4,462	80	26	246*	308*	382*	+16	+18	11.8	12.8
/162	664	12	4	+2.4	+2.7	1.8	pk7: 14
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	6.1	4,021	117	55	229	315	384	+43	+0	14.6	12.4
/162	664	19	9	+7.1	+0.0	2.4	pk7: 10
#6Kevin Elster'86-'00 * career totals — 9 seasons, 3,225 PA	4.9	3,225	88	14	223*	294*	388*	+34	+9	7.9	8.1
/162	664	18	3	+7.0	+1.9	1.6	pk7: 8

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
Miguel Hernández (OGILVIE)	19	—	—	—	—	213/304/342	128	283	4	3	27%	10%	86	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Hao-Yu Lee 2023 · A	20	49→51	44→50	48→55	46	237/306/359	122	312	12	12	27%	8%	89	+0.5	247/312/378	131	315	13	16	24%	7%	96	+1.0	253/317/409	156	313	15	15	23%	7%	103	+1.2
✕Michael Arroyo 2024 · A	19	44→51	40→50	46→50	49	208/316/308	101	279	6	7	25%	9%	84	+0.1	228/322/372	144	297	15	11	27%	8%	99	+1.3	232/324/382	150	294	16	12	25%	8%	100	+1.3
●Sal Stewart 2024 · A	20	49→53	43→55	48→50	55	236/321/346	110	286	11	10	21%	11%	92	+0.7	249/321/397	148	298	16	12	21%	9%	104	+1.6	255/323/425	170	297	21	13	21%	8%	109	+1.8
●Moisés Ballesteros 2023 · A	19	41→51	46→50	45→40	50	210/283/334	125	261	14	5	25%	9%	76	-0.4	248/309/379	131	301	14	4	21%	8%	95	+0.9	266/327/397	130	316	14	3	20%	8%	104	+1.4
✕Jeferson Quero 2022 · A	19	48→47	43→50	47→45	49	230/305/343	113	283	9	10	21%	8%	86	+0.3	230/284/354	124	292	13	8	25%	6%	80	-0.2	230/288/365	135	277	16	6	23%	7%	82	+0.0
✕Harry Ford 2022 · A	19	45→53	47→45	52→55	43	223/289/361	138	311	13	9	31%	8%	84	+0.1	221/332/349	128	309	12	16	29%	12%	98	+1.2	226/338/346	120	294	12	19	24%	12%	96	+0.9
●Heriberto Hernández 2019 · A	19	40→48	47→60	45→50	59	199/314/345	145	242	13	7	22%	13%	91	+0.6	215/297/369	154	311	16	6	33%	9%	89	+0.5	222/305/421	199	281	26	11	30%	10%	104	+1.3
✕Ramon Ramirez 2024 · A	19	44	46→50	45	52	219/294/345	126	249	13	9	18%	9%	82	+0.0	210/281/347	137	271	15	7	27%	8%	78	-0.3	207/279/354	147	270	17	7	29%	8%	77	-0.2
●Daniel Robertson 2013 · A	19	46→56	46→45	52→40	49	227/301/367	141	268	12	6	20%	8%	90	+0.6	245/312/360	115	307	10	3	22%	7%	92	+0.7	256/329/366	110	321	8	2	21%	8%	96	+0.9
●Mark Vientos 2019 · A	19	43→51	46→60	43→30	45	217/278/343	126	276	14	3	26%	8%	75	-0.5	213/259/354	141	292	17	2	32%	5%	71	-0.8	247/307/448	201	309	26	1	28%	7%	110	+1.8
✕Alexander Albertus 2024 · A	19	49	41→45	47→45	61	232/339/328	96	275	9	11	18%	13%	95	+1.0	228/315/321	93	292	7	9	22%	10%	84	+0.2	225/311/319	93	294	7	6	24%	10%	80	-0.1
●Andy Pages 2021 · A	20	43→53	46→60	46→50	46	215/300/346	131	277	14	9	26%	8%	85	+0.2	217/306/408	191	287	24	6	32%	9%	102	+1.5	269/326/453	184	315	23	10	22%	6%	121	+2.8
✕Alfredo Duno 2024 · A	18	43→48	41→55	53→45	53	207/305/309	102	280	9	8	27%	11%	78	-0.3	224/320/362	138	312	14	6	30%	12%	95	+1.0	229/330/392	163	306	18	4	29%	12%	104	+0.9
✕Miguel Amaya 2019 · A	20	43	44→50	48→40	45	215/283/328	113	270	12	4	24%	7%	74	-0.5	216/296/343	127	275	13	4	25%	8%	83	+0.1	216/325/362	146	296	16	3	30%	10%	98	+0.3
●Dilson Herrera 2014 · A	20	44→54	45→55	49→50	41	220/273/347	128	293	12	11	29%	6%	74	-0.5	259/309/398	139	326	14	13	24%	6%	99	+1.3	267/319/412	145	327	15	13	22%	6%	104	+1.4
✕Jesus Rodriguez 2021 · A	19	45→55	40→45	49→50	48	215/278/314	99	274	7	9	23%	8%	68	-1.0	227/295/327	100	280	6	12	20%	8%	78	-0.3	265/326/372	107	319	9	16	19%	7%	96	+0.8
✕James Triantos 2022 · A	19	46→56	49→45	45→60	40	234/276/382	148	291	17	8	26%	5%	83	+0.1	247/296/347	100	300	8	18	19%	6%	82	-0.0	270/312/373	104	312	8	35	15%	5%	91	+0.6
●Cheslor Cuthbert 2012 · A	19	46→56	44→50	49→45	42	228/282/343	116	302	12	4	28%	6%	76	-0.4	222/267/325	103	278	10	6	23%	6%	66	-1.1	255/309/403	148	298	17	1	20%	7%	101	+0.7
✕Marco Luciano 2021 · A	19	46→51	50	46→45	45	229/304/385	155	317	17	10	32%	8%	95	+1.0	213/279/361	148	307	18	5	35%	8%	80	-0.1	219/303/364	145	307	18	7	32%	10%	87	+0.3
✕Jonathan Galvez 2010 · A	19	43→51	42→50	50→55	51	209/299/315	106	278	8	12	26%	10%	77	-0.3	225/289/347	122	328	11	16	32%	7%	80	-0.1	244/294/364	120	343	10	23	30%	5%	83	+0.1

Miguel Hernández

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps