Óscar Hernández

PosC

B/TR/R

Born1993-07-09

Age (2027)34

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2017	24	AAJackson Gener…	255	.197/.258/.348	8	0	32	—	.164/.210/.277
2018	25	AAAPawtucket Red…	171	.205/.286/.272	1	1	26	—	.173/.232/.224
2019	26	AAA/AA/INTL3 orgs	248	.209/.280/.368	8	2	60	—	.176/.228/.313

Contract

No contract data on file.

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. Catcher framing: only 2027 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 1-3 WAR low.

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)
2010	17	ROK	VSL Rays	—	119	103	23	6	0	4	11	19	4	0	0	223	322	398	720	175	235	16	9	323	21	—	—	—	—	—	—
2011	18	ROK	VSL Rays	—	294	239	96	14	1	21	37	44	15	3	5	402	509	732	1.241	331	424	15	13	525	105	—	—	—	—	—	—
2012	19	ROK	Princeton Rays	—	195	160	37	9	1	5	23	31	8	0	1	231	356	394	750	162	250	16	12	335	55	—	—	—	—	—	—
2014	21	A	Bowling Green Hot Rods	—	397	362	90	18	5	9	25	78	4	3	6	249	304	401	705	152	289	20	6	309	55	—	—	—	—	—	—
2015	22	MLB	Arizona Diamondbacks	—	36	31	5	1	0	0	3	15	1	0	0	161	257	194	451	32	312	42	8	215	29	-3	+0	-0	+2	+1	-0.1
2015	22	AAA	Reno Aces	—	27	25	6	3	0	0	1	5	0	0	0	240	269	360	629	120	300	19	4	269	34	—	—	—	—	—	—
2015	22	INTL	Salt River Rafters	—	62	56	10	3	0	0	5	14	1	0	0	179	258	232	490	54	238	23	8	232	43	—	—	—	—	—	—
2016	23	AA	Mobile BayBears	—	150	144	28	6	0	7	5	27	1	3	0	194	227	382	609	187	191	18	3	267	16	—	—	—	—	—	—
2016	23	A+	Visalia Rawhide	—	133	112	33	10	0	3	18	26	2	1	0	295	402	464	866	170	361	20	14	385	84	—	—	—	—	—	—
2016	23	INTL	Leones del Caracas	—	60	55	11	3	0	2	3	8	1	0	0	200	254	364	618	164	200	13	5	271	70	—	—	—	—	—	—
2017	24	AA	Jackson Generals	—	255	233	46	11	0	8	17	58	2	0	0	197	258	348	606	150	226	23	7	269	32	—	—	—	—	—	—
2018	25	AAA	Pawtucket Red Sox	—	171	151	31	7	0	1	14	37	3	1	0	205	286	272	557	66	263	22	8	256	26	—	—	—	—	—	—
2019	26	AAA	Pawtucket Red Sox	—	168	148	31	10	0	6	12	33	2	0	0	209	276	399	675	189	225	20	7	290	57	—	—	—	—	—	—
2019	26	AA	Portland Sea Dogs	—	26	24	2	0	0	0	2	11	0	0	0	83	154	83	237		154	42	8	123	-52	—	—	—	—	—	—
2019	26	INTL	Navegantes del Magallanes	—	54	48	13	1	0	2	4	6	2	2	1	271	352	417	769	146	275	11	7	347	121	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	36	31	5	1	0	0	3	15	1	0	0	161	257	194	451	32	312	42	8	215	32	-3	+0	-0	+2	+1	-0.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2010	17	ROK MLE	VSL Rays	—	119	106	15	4	0	2	8	23	4	0	0	142	229	236	465	94	145	19	7	199	21	—	—	—	—	—	—
2011	18	ROK MLE	VSL Rays	—	294	255	63	9	1	11	21	54	15	3	5	247	340	420	760	173	254	18	7	324	105	—	—	—	—	—	—
2012	19	ROK MLE	Princeton Rays	—	195	168	29	6	1	4	15	44	8	0	1	173	272	292	564	119	192	23	8	249	55	—	—	—	—	—	—
2014	21	A MLE	Bowling Green Hot Rods	—	397	372	78	15	5	7	15	107	4	3	6	210	248	333	581	124	261	27	4	250	55	—	—	—	—	—	—
2015	22	MLB MLE	Arizona Diamondbacks	—	36	31	5	1	0	0	3	15	1	0	0	161	257	194	451	32	312	42	8	211	29	-3	+0	-0	+2	+1	-0.1
2015	22	AAA MLE	Reno Aces	—	27	25	5	2	0	0	1	7	0	0	0	200	231	280	511	80	265	26	4	219	34	—	—	—	—	—	—
2016	23	AA MLE	Mobile BayBears	—	150	145	21	4	0	5	4	34	1	3	0	145	173	276	449	131	154	23	3	192	16	—	—	—	—	—	—
2016	23	A+ MLE	Visalia Rawhide	—	133	117	26	7	0	2	13	34	2	1	0	222	311	333	644	111	297	26	10	292	84	—	—	—	—	—	—
2017	24	AA MLE	Jackson Generals	—	255	238	39	9	0	6	12	72	2	0	0	164	210	277	488	113	202	28	5	216	32	—	—	—	—	—	—
2018	25	AAA MLE	Pawtucket Red Sox	—	171	156	27	5	0	1	9	45	3	1	0	173	232	224	457	51	230	26	5	206	26	—	—	—	—	—	—
2019	26	AAA MLE	Pawtucket Red Sox	—	168	152	29	9	0	5	9	39	2	0	0	191	245	349	594	158	206	23	5	252	57	—	—	—	—	—	—
2019	26	AA MLE	Portland Sea Dogs	—	26	25	2	0	0	0	1	14	0	0	0	80	115	80	195		145	54	4	91	-52	—	—	—	—	—	—
2010	17	ROK MLE	VSL Rays	—	119	106	15	4	0	2	8	23	4	0	0	142	229	236	465	94	159	19	7	199	21	—	—	—	—	—	—
2010	17	ROK RAW	VSL Rays	—	119	103	23	6	0	4	11	19	4	0	0	223	322	398	720	175	235	16	9	323	21	—	—	—	—	—	—
2011	18	ROK MLE	VSL Rays	—	294	255	63	9	1	11	21	54	15	3	5	247	340	420	760	173	269	18	7	324	105	—	—	—	—	—	—
2011	18	ROK RAW	VSL Rays	—	294	239	96	14	1	21	37	44	15	3	5	402	509	732	1.241	331	424	15	13	525	105	—	—	—	—	—	—
2012	19	ROK MLE	Princeton Rays	—	195	168	29	6	1	4	15	44	8	0	1	173	272	292	564	119	202	23	8	249	55	—	—	—	—	—	—
2012	19	ROK RAW	Princeton Rays	—	195	160	37	9	1	5	23	31	8	0	1	231	356	394	750	162	250	16	12	335	55	—	—	—	—	—	—
2014	21	A MLE	Bowling Green Hot Rods	—	397	372	78	15	5	7	15	107	4	3	6	210	248	333	581	124	270	27	4	250	55	—	—	—	—	—	—
2014	21	A RAW	Bowling Green Hot Rods	—	397	362	90	18	5	9	25	78	4	3	6	249	304	401	705	152	289	20	6	309	55	—	—	—	—	—	—
2015	22	INTL MLE	3 teams	—	125	114	20	6	0	0	7	43	2	0	0	175	236	228	464	53	282	34	6	215	31	—	—	—	—	—	—
2015	22	INTL RAW	3 teams	—	125	112	21	7	0	0	9	34	2	0	0	188	260	250	510	62	269	27	7	235	31	—	—	—	—	—	—
2016	23	AA MLE	3 teams	—	343	317	58	14	0	9	20	82	4	4	0	183	240	312	553	129	217	24	6	239	48	—	—	—	—	—	—
2016	23	AA RAW	3 teams	—	343	311	72	19	0	12	26	61	4	4	0	232	299	408	707	177	252	18	8	314	48	—	—	—	—	—	—
2017	24	AA MLE	Jackson Generals	—	255	238	39	9	0	6	12	72	2	0	0	164	210	277	488	113	205	28	5	216	32	—	—	—	—	—	—
2017	24	AA RAW	Jackson Generals	—	255	233	46	11	0	8	17	58	2	0	0	197	258	348	606	150	226	23	7	269	32	—	—	—	—	—	—
2018	25	AAA MLE	Pawtucket Red Sox	—	171	156	27	5	0	1	9	45	3	1	0	173	232	224	457	51	234	26	5	206	26	—	—	—	—	—	—
2018	25	AAA RAW	Pawtucket Red Sox	—	171	151	31	7	0	1	14	37	3	1	0	205	286	272	557	66	263	22	8	256	26	—	—	—	—	—	—
2019	26	AAA MLE	3 teams	—	248	226	39	12	0	6	13	68	4	2	1	173	230	305	536	133	214	27	5	230	42	—	—	—	—	—	—
2019	26	AAA RAW	3 teams	—	248	220	46	11	0	8	18	50	4	2	1	209	280	368	648	159	232	20	7	285	42	—	—	—	—	—	—
2010	17	ROK MLE	VSL Rays	—	119	106	15	4	0	2	8	23	4	0	0	142	229	236	465	94	145	19	7	199	21	—	—	—	—	—	—
2011	18	ROK MLE	VSL Rays	—	294	256	63	9	1	11	21	54	15	3	5	246	340	418	758	172	254	18	7	324	105	—	—	—	—	—	—
2012	19	ROK MLE	Princeton Rays	—	195	170	29	6	1	4	15	44	8	0	1	171	272	288	560	118	192	23	8	249	55	—	—	—	—	—	—
2014	21	A MLE	Bowling Green Hot Rods	—	397	375	78	15	5	7	15	107	4	3	6	208	248	331	579	123	261	27	4	250	55	—	—	—	—	—	—
2015	22	INTL MLE	3 teams	—	125	115	20	6	0	0	7	43	2	0	0	174	236	226	462	52	292	34	6	215	31	—	—	—	—	—	—
2016	23	AA MLE	3 teams	—	343	316	58	14	0	9	20	82	4	4	0	184	240	313	554	130	221	24	6	239	48	—	—	—	—	—	—
2017	24	AA MLE	Jackson Generals	—	255	239	39	9	0	6	12	72	2	0	0	163	210	276	486	113	202	28	5	216	32	—	—	—	—	—	—
2018	25	AAA MLE	Pawtucket Red Sox	—	171	157	27	5	0	1	9	45	3	1	0	172	232	223	455	51	230	26	5	206	26	—	—	—	—	—	—
2019	26	AAA MLE	3 teams	—	248	229	39	12	0	6	13	68	4	2	1	170	230	301	532	131	198	27	5	230	42	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	36	31	5	1	0	0	3	15	1	0	0	161	257	194	451	32	312	42	8	215	51	-3	+0	-0	+2	+1	-0.0
/ 162G	—	A+C		—	650	560	90	18	0	0	54	271	18	0	0	161	256	193	449	32	311	42	8	215	51	-53	+0	-8	+40	+14	-0.7
Career	—	MLE		—	2147	1952	368	80	7	46	120	538	46	13	13	189	252	307	560	119	232	25	6	244	51	-3	+0	-0	+2	+1	-0.0
/ 162G	—	MLE		—	650	591	111	24	2	14	36	163	14	4	4	188	251	306	557	118	232	25	6	244	51	-53	+0	-8	+40	+14	-0.7

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.

2019 AAAPawtucket Red Sox · 168 PAwOBA .286 → .252 (−34)K% 19.6% → 23.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.64%	÷1.002	×1.200	—	—	23.53%
BB% (unintentional) /PA	7.14%	÷0.963	×0.690	—	×1.018	5.21%
HBP% /PA	1.19%	—	×0.940	—	×1.018	1.14%
Singles /BIP	13.04%	÷0.953	×0.930	×0.950	×1.018	12.31%
Doubles /BIP	8.70%	÷0.896	×0.830	×0.950	×1.018	7.79%
Triples /BIP	0.00%	÷0.900	×0.970	×0.950	×1.018	0.00%
Home runs /BIP	5.22%	÷1.038	×0.840	—	×1.018	4.30%

Factors used: league row IL. Park (home-season share, regressed): HR 108, 1B 91, 2B 79, 3B 80, K 100, BB 93 — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .286 → .252; ISO .189 → .165; BABIP .225 → .206. 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).

2019 AAPortland Sea Dogs · 26 PAwOBA .121 → .091 (−30)K% 42.3% → 52.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	42.31%	÷0.991	×1.220	—	—	52.09%
BB% (unintentional) /PA	7.69%	÷0.997	×0.700	—	×0.988	5.34%
HBP% /PA	0.00%	—	×0.850	—	×0.988	0.00%
Singles /BIP	15.38%	÷1.016	×0.970	—	×0.988	14.51%
Doubles /BIP	0.00%	÷1.158	×0.860	—	×0.988	0.00%
Triples /BIP	0.00%	÷1.150	×0.950	—	×0.988	0.00%
Home runs /BIP	0.00%	÷0.953	×0.780	—	×0.988	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 91, 1B 103, 2B 132, 3B 130, K 98, BB 99 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average).

Result: wOBA .121 → .091; ISO .000 → .000; BABIP .154 → .145. 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).

2018 AAAPawtucket Red Sox · 171 PAwOBA .252 → .206 (−46)K% 21.6% → 26.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.64%	÷0.994	×1.200	—	—	26.12%
BB% (unintentional) /PA	8.19%	÷1.082	×0.690	—	×1.033	5.39%
HBP% /PA	1.75%	—	×0.940	—	×1.033	1.70%
Singles /BIP	20.18%	÷1.000	×0.930	×0.950	×1.033	18.42%
Doubles /BIP	6.14%	÷1.067	×0.830	×0.950	×1.033	4.69%
Triples /BIP	0.00%	÷0.900	×0.970	×0.950	×1.033	0.00%
Home runs /BIP	0.88%	÷1.342	×0.840	—	×1.033	0.57%

Factors used: league row IL. Park (home-season share, regressed): HR 168, 1B 100, 2B 113, 3B 80, K 99, BB 116 — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .252 → .206; ISO .066 → .048; BABIP .263 → .230. 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).

2017 AAJackson Generals · 255 PAwOBA .262 → .216 (−47)K% 22.7% → 28.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.75%	÷0.983	×1.220	—	—	28.22%
BB% (unintentional) /PA	6.67%	÷0.987	×0.680	—	×1.012	4.65%
HBP% /PA	0.78%	—	×0.840	—	×1.012	0.67%
Singles /BIP	15.43%	÷0.980	×0.920	×0.958	×1.012	14.05%
Doubles /BIP	6.29%	÷1.004	×0.910	×0.958	×1.012	5.52%
Triples /BIP	0.00%	÷1.150	×0.880	×0.958	×1.012	0.00%
Home runs /BIP	4.57%	÷0.985	×0.800	—	×1.012	3.76%

Factors used: league row SL. Park (home-season share, regressed): HR 97, 1B 96, 2B 101, 3B 130, K 97, BB 97 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.958.

Result: wOBA .262 → .216; ISO .150 → .122; BABIP .226 → .202. 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).

2016 AAMobile BayBears · 150 PAwOBA .259 → .192 (−67)K% 18.0% → 22.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.00%	÷0.977	×1.220	—	—	22.48%
BB% (unintentional) /PA	3.33%	÷0.975	×0.680	—	×1.027	2.39%
HBP% /PA	0.67%	—	×0.840	—	×1.027	0.58%
Singles /BIP	12.82%	÷1.065	×0.920	×0.950	×1.027	10.80%
Doubles /BIP	5.13%	÷1.146	×0.910	×0.950	×1.027	3.97%
Triples /BIP	0.00%	÷0.900	×0.880	×0.950	×1.027	0.00%
Home runs /BIP	5.98%	÷1.160	×0.800	—	×1.027	4.24%

Factors used: league row SL. Park (home-season share, regressed): HR 132, 1B 113, 2B 129, 3B 80, K 95, BB 95 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .259 → .192; ISO .188 → .130; BABIP .191 → .154. 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).

2016 A+Visalia Rawhide · 133 PAwOBA .375 → .292 (−83)K% 19.5% → 25.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.55%	÷1.020	×1.340	—	—	25.68%
BB% (unintentional) /PA	13.53%	÷1.008	×0.710	—	×0.998	9.52%
HBP% /PA	1.50%	—	×0.790	—	×0.998	1.19%
Singles /BIP	23.26%	÷0.994	×0.910	×0.950	×0.998	20.19%
Doubles /BIP	11.63%	÷1.038	×0.820	×0.950	×0.998	8.71%
Triples /BIP	0.00%	÷1.065	×0.760	×0.950	×0.998	0.00%
Home runs /BIP	3.49%	÷1.134	×0.920	—	×0.998	2.82%

Factors used: league row CAL. Park (home-season share, regressed): HR 127, 1B 99, 2B 108, 3B 113, K 104, BB 102 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .375 → .292; ISO .170 → .130; BABIP .361 → .297. 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).

2015 AAAReno Aces · 27 PAwOBA .262 → .219 (−42)K% 18.5% → 24.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.52%	÷0.969	×1.290	—	—	24.64%
BB% (unintentional) /PA	3.70%	÷0.997	×0.710	—	×1.050	2.77%
HBP% /PA	0.00%	—	×0.980	—	×1.050	0.00%
Singles /BIP	15.00%	÷0.964	×0.900	—	×1.050	14.70%
Doubles /BIP	15.00%	÷1.083	×0.810	—	×1.050	11.78%
Triples /BIP	0.00%	÷1.150	×0.810	—	×1.050	0.00%
Home runs /BIP	0.00%	÷1.027	×0.780	—	×1.050	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 105, 1B 93, 2B 117, 3B 130, K 94, BB 99 — applied at half strength. Age: age 22 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (5.2 yr younger than average).

Result: wOBA .262 → .219; ISO .120 → .092; BABIP .300 → .265. 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).

2014 ABowling Green Hot Rods · 397 PAwOBA .304 → .250 (−54)K% 19.6% → 27.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.65%	÷0.991	×1.360	—	—	26.96%
BB% (unintentional) /PA	6.05%	÷1.073	×0.690	—	×1.015	3.95%
HBP% /PA	1.01%	—	×0.780	—	×1.015	0.80%
Singles /BIP	20.42%	÷0.976	×0.920	×0.960	×1.015	18.74%
Doubles /BIP	6.34%	÷0.946	×0.830	×0.960	×1.015	5.42%
Triples /BIP	1.76%	÷0.920	×0.910	×0.960	×1.015	1.70%
Home runs /BIP	3.17%	÷0.966	×0.800	—	×1.015	2.66%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 93, 1B 95, 2B 89, 3B 84, K 98, BB 115 — 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 ×0.960.

Result: wOBA .304 → .250; ISO .152 → .126; BABIP .289 → .261. 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).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .