Enrique Hernández

3B Los Angeles Dodgers

Age 35 R/R 5'10" / 195 lbs MLB HR +8%BB -8% Svc 12.314 · Ctrl thru 2027

Overview

MLB40-MANExt / FA-dealFA 2028

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	32	MLBLAD	393	.229/.283/.373	12	0	85	0.4
2025	33	MLBLAD	256	.203/.260/.366	10	0	72	-0.1
2026	34	AAALAD	72	.258/.310/.394	1	0	48	—	.206/.239/.324
2026	34	MLBLAD	96	.222/.271/.400	4	0	89	0.1
2027PROJ	35	MLBLAD	148	.220/.275/.371	5	1	82	0.1
2028PROJ	36	MLBLAD	107	.208/.262/.345	3	0	70	-0.7

Last 3 seasons WAR 0.5 · Next 2 projected WAR -0.7Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2027Service12.314First FA2028

2027Ext / FA-deal$1M

Skills · percentileStatcast 2024-2026

Avg EV59

Bat Spd48

Barrel%39

Speed33

xwOBA32

Form.214/.265/.366 ▼ rolling true talent (60d window) · proj .223/.276/.373

CompsMatt McBride (age 34) · Scott McClain (age 35) · Abraham Valencia (age 34)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 8582vR 72

AVG/OBP/SLG.220 / .275 / .371

PA148

HR5

K%24

BB%7

BABIP259

ISO153

MLB%100%

Value2027 · WAR

trajectory · projected WAR by year

Tools · Recent Form · Splits · ContractCON 45 / POW 45

Toolsscout grade · Statcast %ile · 2024-2026

CONTACT45

xAVG

190.226

POWER45

Barrel%

396.8

Avg EV

5989.8

Bat Spd

4871.1

EYE50

scouting grade only

SPEED45

Sprint

3326.7

Recent Formrolling true talent ⓘ

K%27%▼▼31% over 54 PA (60d) · proj 24%

BB%6%·6% over 54 PA (60d) · proj 7%

ISO.152·.157 over 51 AB (60d) · proj .151

HR/BB4.8%·5.9% over 34 BBE (60d) · proj 4.4%

BABIP.266·.281 over 32 BIP (60d) · proj .265

SLASH.214/.265/.366▼proj .223/.276/.373

Platoon Splits2024-2025 · 649 PA

vs LHP

vs RHP

Edge

252

397

—

wRC+

◀◀L

wOBA

298

272

◀L

ISO

188

129

◀◀L

BABIP

226

261

▶R

20.2%

23.7%

◀L

BB%

7.1%

6.8%

◀L

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

Status FA

MLB Debut 2014

Service 12.314 yrs.days

Team Control Through 2027

First FA Year 2028

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Ext / FA-deal	$1M	—	—	—
Totals		$1M		$-0.8M	-$2M

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)
2009	17	ROK	GCL Astros	—	225	207	61	12	3	1	10	28	4	8	2	295	339	396	736	101	333	12	4	324	59	—	—	—	—	—	—
2010	18	INTL	Leones de Ponce	—	70	65	15	2	0	0	3	4	0	0	1	231	265	262	526	31	246	6	4	235	45	—	—	—	—	—	—
2011	19	A	Lexington Legends	—	249	215	53	11	0	2	31	33	0	0	2	247	341	326	667	79	283	13	12	306	63	—	—	—	—	—	—
2011	19	INTL	Gigantes de Carolina	—	33	32	4	2	0	0	1	3	0	0	0	125	152	188	339	62	138	9	3	154	-10	—	—	—	—	—	—
2012	20	AA	Corpus Christi Hooks	—	88	81	20	2	0	1	4	9	2	2	2	247	299	309	607	62	268	10	5	276	51	—	—	—	—	—	—
2012	20	A+	Lancaster JetHawks	—	411	378	104	25	7	5	22	43	3	4	2	275	320	418	738	143	297	10	5	321	62	—	—	—	—	—	—
2012	20	INTL	Gigantes de Carolina	—	163	147	47	12	2	2	11	17	3	4	2	320	379	469	848	150	352	10	7	373	138	—	—	—	—	—	—
2013	21	AA	Corpus Christi Hooks	—	483	437	103	18	2	13	34	70	5	5	3	236	298	375	674	140	253	14	7	298	50	—	—	—	—	—	—
2013	21	INTL	Puerto Rico	—	170	150	39	9	1	3	14	30	1	0	0	260	327	393	721	133	305	18	8	314	99	—	—	—	—	—	—
2014	22	MLB	Miami Marlins	—	134	121	30	6	3	3	12	21	1	0	0	248	321	421	742	174	278	16	9	330	118	+3	+0	+3	+2	+3	1.1
2014	22	AAA	New Orleans Zephyrs	—	373	336	107	22	2	10	28	38	3	6	6	318	376	485	861	167	332	10	8	376	111	—	—	—	—	—	—
2014	22	AA	Corpus Christi Hooks	—	43	40	13	3	0	1	3	3	0	0	0	325	372	475	847	150	333	7	7	376	109	—	—	—	—	—	—
2014	22	INTL	Puerto Rico	—	80	72	20	6	0	1	7	14	0	1	0	278	342	403	745	125	328	18	9	330	110	—	—	—	—	—	—
2015	23	MLB	Los Angeles Dodgers	—	218	202	62	12	2	7	11	46	2	0	2	307	349	490	839	183	364	21	5	364	138	+10	-1	+1	+1	+5	1.6
2015	23	AAA	Oklahoma City Dodgers	—	64	59	10	2	0	1	4	14	0	1	0	169	222	254	476	85	200	22	6	215	3	—	—	—	—	—	—
2016	24	MLB	Los Angeles Dodgers	—	244	216	41	8	0	7	28	64	0	2	0	190	283	324	607	134	234	26	11	278	75	-7	+0	+0	-4	+5	-0.5
2016	24	INTL	Gigantes de Carolina	—	102	86	18	3	0	1	15	23	1	2	1	209	333	279	612	70	274	23	15	292	84	—	—	—	—	—	—
2017	25	MLB	Los Angeles Dodgers	—	342	297	64	24	2	11	41	80	0	3	0	215	311	421	732	205	254	23	12	322	107	+3	+1	-1	+1	+7	1.1
2018	26	MLB	Los Angeles Dodgers	—	462	402	103	17	3	21	50	78	1	3	0	256	340	470	810	214	266	17	11	351	122	+12	+1	+2	+2	+10	2.7
2019	27	MLB	Los Angeles Dodgers	—	460	414	98	19	1	17	36	97	6	4	0	237	307	411	718	174	266	21	8	318	101	+0	+1	-1	+2	+10	1.2
2020	28	MLB	Los Angeles Dodgers	—	148	139	32	8	1	5	6	31	2	0	1	230	272	410	682	180	260	21	4	299	92	-1	-0	+2	+1	+3	0.4
2021	29	MLB	Boston Red Sox	—	585	508	127	35	3	20	61	110	9	1	0	250	341	449	790	199	278	19	10	347	116	+11	+0	+5	+2	+13	3.2
2022	30	MLB	Boston Red Sox	—	402	361	80	24	0	6	34	71	3	0	2	222	294	338	632	116	257	18	8	285	73	-13	-1	+0	+1	+9	-0.3
2023	31	MLB	Los Angeles Dodgers	—	508	465	110	23	0	11	34	97	3	4	1	237	293	357	650	120	273	19	7	290	84	-9	+0	-12	+5	+11	-0.4
2024	32	MLB	Los Angeles Dodgers	—	393	362	83	16	0	12	27	77	0	0	0	229	283	373	656	144	257	20	7	290	85	-7	+0	+1	+1	+9	0.4
2025	33	MLB	Los Angeles Dodgers	—	256	232	47	8	0	10	18	68	0	0	0	203	260	366	626	164	233	27	7	273	72	-8	+0	+1	+1	+6	-0.1
2025	33	AAA	Oklahoma City Comets	—	16	14	5	2	0	0	2	3	0	1	0	357	438	500	938	143	455	19	12	417	113	—	—	—	—	—	—
2026	34	MLB	Los Angeles Dodgers	—	96	90	20	4	0	4	6	28	0	0	0	222	271	400	671	178	276	29	6	297	89	-1	+0	+0	+1	+2	0.1
2026	34	AAA	Oklahoma City Comets	—	72	66	17	4	1	1	5	14	0	0	0	258	310	394	704	136	308	19	7	309	48	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	4248	3809	897	204	15	134	364	868	27	17	6	235	307	402	709	167	268	20	9	313	98	-9	+1	+1	+17	+92	10.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2009	17	ROK MLE	GCL Astros	—	225	211	51	9	2	1	6	40	4	8	2	242	276	318	594	76	284	18	3	256	59	—	—	—	—	—	—
2011	19	A MLE	Lexington Legends	—	249	225	51	10	0	2	21	44	0	0	2	227	293	298	590	71	272	18	8	262	63	—	—	—	—	—	—
2012	20	AA MLE	Corpus Christi Hooks	—	88	82	19	2	0	1	3	11	2	2	2	232	276	293	569	61	254	12	3	243	51	—	—	—	—	—	—
2012	20	A+ MLE	Lancaster JetHawks	—	411	385	91	19	5	5	15	59	3	4	2	236	270	351	621	114	256	14	4	260	62	—	—	—	—	—	—
2013	21	AA MLE	Corpus Christi Hooks	—	483	450	91	15	2	10	21	85	5	5	3	202	246	311	557	109	222	18	4	242	50	—	—	—	—	—	—
2014	22	MLB MLE	Miami Marlins	—	134	121	31	7	3	3	12	21	1	0	0	256	328	438	766	182	278	16	9	342	118	+3	+0	+3	+2	+3	1.1
2014	22	AAA MLE	New Orleans Zephyrs	—	373	344	101	20	2	8	20	48	3	6	6	294	338	433	771	140	314	13	5	332	111	—	—	—	—	—	—
2014	22	AA MLE	Corpus Christi Hooks	—	43	41	12	3	0	1	2	4	0	0	0	293	326	439	765	146	311	9	5	330	109	—	—	—	—	—	—
2015	23	MLB MLE	Los Angeles Dodgers	—	218	202	63	13	2	7	11	46	2	0	2	312	353	500	853	188	364	21	5	372	138	+10	-1	+1	+1	+5	1.6
2015	23	AAA MLE	Oklahoma City Dodgers	—	64	60	9	2	0	1	3	18	0	1	0	150	190	233	424	83	175	28	5	173	3	—	—	—	—	—	—
2016	24	MLB MLE	Los Angeles Dodgers	—	244	217	41	8	0	7	27	64	0	2	0	189	279	323	601	134	234	26	11	280	75	-7	+0	+0	-4	+5	-0.5
2017	25	MLB MLE	Los Angeles Dodgers	—	342	299	65	25	2	11	39	80	0	3	0	217	308	425	732	207	254	23	11	326	107	+3	+1	-1	+1	+7	1.1
2018	26	MLB MLE	Los Angeles Dodgers	—	462	407	105	18	4	20	45	78	1	3	0	258	333	469	803	211	266	17	10	348	122	+12	+1	+2	+2	+10	2.7
2019	27	MLB MLE	Los Angeles Dodgers	—	460	417	99	20	1	16	33	97	6	4	0	237	303	405	708	168	266	21	7	317	101	+0	+1	-1	+2	+10	1.2
2020	28	MLB MLE	Los Angeles Dodgers	—	148	139	32	8	1	5	6	31	2	0	1	230	272	410	682	180	260	21	4	305	92	-1	-0	+2	+1	+3	0.4
2021	29	MLB MLE	Boston Red Sox	—	585	508	123	31	3	21	61	110	9	1	0	242	334	439	773	197	278	19	10	340	116	+11	+0	+5	+2	+13	3.2
2022	30	MLB MLE	Boston Red Sox	—	402	361	76	21	0	6	34	71	3	0	2	211	284	319	602	108	257	18	8	275	73	-13	-1	+0	+1	+9	-0.3
2023	31	MLB MLE	Los Angeles Dodgers	—	508	466	112	24	0	11	33	97	3	4	1	240	295	363	657	122	273	19	6	293	84	-9	+0	-12	+5	+11	-0.4
2024	32	MLB MLE	Los Angeles Dodgers	—	393	362	85	17	0	12	27	77	0	0	0	235	288	381	669	146	257	20	7	294	85	-7	+0	+1	+1	+9	0.4
2025	33	MLB MLE	Los Angeles Dodgers	—	256	232	47	8	0	10	18	68	0	0	0	203	260	366	626	164	233	27	7	275	72	-8	+0	+1	+1	+6	-0.1
2025	33	AAA MLE	Oklahoma City Comets	—	16	15	5	2	0	0	1	4	0	1	0	333	375	467	842	133	397	25	6	335	113	—	—	—	—	—	—
2026	34	MLB MLE	Los Angeles Dodgers	—	96	90	20	4	0	4	6	28	0	0	0	222	271	400	671	178	276	29	6	299	89	-1	+0	+0	+1	+2	0.1
2026	34	AAA MLE	Oklahoma City Comets	—	72	68	14	3	1	1	3	17	0	0	0	206	239	324	563	118	254	24	4	239	48	—	—	—	—	—	—
2009	17	ROK MLE	GCL Astros	—	225	211	51	9	2	1	6	40	4	8	2	242	276	318	594	76	291	18	3	256	59	—	—	—	—	—	—
2009	17	ROK RAW	GCL Astros	—	225	207	61	12	3	1	10	28	4	8	2	295	339	396	736	101	333	12	4	324	59	—	—	—	—	—	—
2010	18	INTL MLE	Leones de Ponce	—	70	65	15	2	0	0	3	4	0	0	1	231	265	262	526	31	246	6	4	—	—	—	—	—	—	—	—
2010	18	INTL RAW	Leones de Ponce	—	70	65	15	2	0	0	3	4	0	0	1	231	265	262	526	31	246	6	4	235	45	—	—	—	—	—	—
2011	19	A MLE	2 teams	—	282	255	58	12	0	2	24	50	0	0	2	227	294	298	592	71	276	18	9	262	63	—	—	—	—	—	—
2011	19	A RAW	2 teams	—	282	247	57	13	0	2	32	36	0	0	2	231	319	308	627	77	263	13	11	288	63	—	—	—	—	—	—
2012	20	A+ MLE	3 teams	—	662	620	144	27	6	7	23	93	8	10	6	232	269	329	598	97	262	14	3	257	60	—	—	—	—	—	—
2012	20	A+ RAW	3 teams	—	662	606	171	39	9	8	37	69	8	10	6	282	332	416	748	134	306	10	6	328	60	—	—	—	—	—	—
2013	21	AA MLE	2 teams	—	653	607	123	20	3	13	28	115	6	5	3	203	245	310	555	107	228	18	4	242	50	—	—	—	—	—	—
2013	21	AA RAW	2 teams	—	653	587	142	27	3	16	48	100	6	5	3	242	306	380	686	138	266	15	7	303	50	—	—	—	—	—	—
2014	22	AAA MLE	4 teams	—	630	580	165	34	6	13	39	84	4	7	6	284	334	431	765	147	311	13	6	334	112	—	—	—	—	—	—
2014	22	AAA RAW	4 teams	—	630	569	170	37	5	15	50	76	4	7	6	299	360	460	820	162	321	12	8	360	112	—	—	—	—	—	—
2015	23	MLB MLE	2 teams	—	282	262	71	14	2	8	14	64	2	1	2	271	313	431	744	160	326	23	5	327	107	+2	-1	+1	+1	+6	1.0
2015	23	MLB RAW	2 teams	—	282	261	72	14	2	8	15	60	2	1	2	276	320	437	757	161	327	21	5	331	107	+2	-1	+1	+1	+6	1.0
2016	24	MLB MLE	2 teams	—	346	307	59	12	0	10	38	91	1	4	1	192	283	329	612	137	238	26	11	280	75	-10	+0	+0	-4	+7	-0.6
2016	24	MLB RAW	2 teams	—	346	302	59	11	0	8	43	87	1	4	1	195	298	311	609	116	246	25	12	282	75	-10	+0	+0	-4	+7	-0.6
2017	25	MLB MLE	Los Angeles Dodgers	—	342	299	65	25	2	11	39	80	0	3	0	217	308	425	732	207	256	23	11	326	107	+3	+1	-1	+1	+7	1.1
2017	25	MLB RAW	Los Angeles Dodgers	—	342	297	64	24	2	11	41	80	0	3	0	215	311	421	732	205	254	23	12	322	107	+3	+1	-1	+1	+7	1.1
2018	26	MLB MLE	Los Angeles Dodgers	—	462	407	105	18	4	20	45	78	1	3	0	258	333	469	803	211	271	17	10	348	122	+12	+1	+2	+2	+10	2.7
2018	26	MLB RAW	Los Angeles Dodgers	—	462	402	103	17	3	21	50	78	1	3	0	256	340	470	810	214	266	17	11	351	122	+12	+1	+2	+2	+10	2.7
2019	27	MLB MLE	Los Angeles Dodgers	—	460	417	99	20	1	16	33	97	6	4	0	237	303	405	708	168	269	21	7	317	101	+0	+1	-1	+2	+10	1.2
2019	27	MLB RAW	Los Angeles Dodgers	—	460	414	98	19	1	17	36	97	6	4	0	237	307	411	718	174	266	21	8	318	101	+0	+1	-1	+2	+10	1.2
2020	28	MLB MLE	Los Angeles Dodgers	—	148	139	32	8	1	5	6	31	2	0	1	230	272	410	682	180	260	21	4	305	92	-1	-0	+2	+1	+3	0.4
2020	28	MLB RAW	Los Angeles Dodgers	—	148	139	32	8	1	5	6	31	2	0	1	230	272	410	682	180	260	21	4	299	92	-1	-0	+2	+1	+3	0.4
2021	29	MLB MLE	Boston Red Sox	—	585	508	123	31	3	21	61	110	9	1	0	242	334	439	773	197	266	19	10	340	116	+11	+0	+5	+2	+13	3.2
2021	29	MLB RAW	Boston Red Sox	—	585	508	127	35	3	20	61	110	9	1	0	250	341	449	790	199	278	19	10	347	116	+11	+0	+5	+2	+13	3.2
2022	30	MLB MLE	Boston Red Sox	—	402	361	76	21	0	6	34	71	3	0	2	211	284	319	602	108	243	18	8	275	73	-13	-1	+0	+1	+9	-0.3
2022	30	MLB RAW	Boston Red Sox	—	402	361	80	24	0	6	34	71	3	0	2	222	294	338	632	116	257	18	8	285	73	-13	-1	+0	+1	+9	-0.3
2023	31	MLB MLE	Los Angeles Dodgers	—	508	466	112	24	0	11	33	97	3	4	1	240	295	363	657	122	277	19	6	293	84	-9	+0	-12	+5	+11	-0.4
2023	31	MLB RAW	Los Angeles Dodgers	—	508	465	110	23	0	11	34	97	3	4	1	237	293	357	650	120	273	19	7	290	84	-9	+0	-12	+5	+11	-0.4
2024	32	MLB MLE	Los Angeles Dodgers	—	393	362	85	17	0	12	27	77	0	0	0	235	288	381	669	146	264	20	7	294	85	-7	+0	+1	+1	+9	0.4
2024	32	MLB RAW	Los Angeles Dodgers	—	393	362	83	16	0	12	27	77	0	0	0	229	283	373	656	144	257	20	7	290	85	-7	+0	+1	+1	+9	0.4
2025	33	MLB MLE	2 teams	—	272	247	52	10	0	10	19	72	0	1	0	211	267	372	639	162	247	26	7	279	75	-8	+0	+1	+1	+6	0.0
2025	33	MLB RAW	2 teams	—	272	246	52	10	0	10	20	71	0	1	0	211	271	374	645	163	247	26	7	281	75	-8	+0	+1	+1	+6	0.0
2026	34	MLB MLE	2 teams	—	168	158	33	7	1	4	9	45	0	0	0	209	251	342	593	133	264	27	5	274	71	-6	+0	+0	+1	+4	-0.2
2026	34	MLB RAW	2 teams	—	168	156	37	8	1	5	11	42	0	0	0	237	287	397	685	160	291	25	7	302	71	-6	+0	+0	+1	+4	-0.2
2009	17	ROK MLE	GCL Astros	—	225	213	51	9	2	1	6	40	4	8	2	239	276	315	591	75	284	18	3	256	59	—	—	—	—	—	—
2011	19	A MLE	2 teams	—	282	256	58	12	0	2	24	50	0	0	2	227	294	297	591	70	272	18	9	262	63	—	—	—	—	—	—
2012	20	A+ MLE	3 teams	—	662	626	144	27	6	7	23	93	8	10	6	230	269	326	595	96	256	14	3	257	60	—	—	—	—	—	—
2013	21	AA MLE	2 teams	—	653	614	123	20	3	13	28	115	6	5	3	200	245	306	551	106	222	18	4	242	50	—	—	—	—	—	—
2014	22	AAA MLE	4 teams	—	630	582	165	34	6	13	39	84	4	7	6	284	334	430	763	146	305	13	6	334	112	—	—	—	—	—	—
2015	23	MLB MLE	2 teams	—	282	264	71	14	2	8	14	64	2	1	2	269	313	428	741	159	321	23	5	327	107	—	—	—	—	—	—
2016	24	MLB MLE	2 teams	—	346	304	59	12	0	10	38	91	1	4	1	194	283	332	615	138	234	26	11	280	75	—	—	—	—	—	—
2017	25	MLB MLE	Los Angeles Dodgers	—	342	300	65	25	2	11	39	80	0	3	0	217	308	423	731	207	254	23	11	326	107	—	—	—	—	—	—
2018	26	MLB MLE	Los Angeles Dodgers	—	462	413	105	18	4	20	45	78	1	3	0	254	333	462	796	208	266	17	10	348	122	—	—	—	—	—	—
2019	27	MLB MLE	Los Angeles Dodgers	—	460	418	99	20	1	16	33	97	6	4	0	237	303	404	707	167	266	21	7	317	101	—	—	—	—	—	—
2020	28	MLB MLE	Los Angeles Dodgers	—	148	139	32	8	1	5	6	31	2	0	1	230	272	410	682	180	260	21	4	305	92	—	—	—	—	—	—
2021	29	MLB MLE	Boston Red Sox	—	585	510	123	31	3	21	61	110	9	1	0	241	334	437	771	196	278	19	10	340	116	—	—	—	—	—	—
2022	30	MLB MLE	Boston Red Sox	—	402	362	76	21	0	6	34	71	3	0	2	210	284	318	602	108	257	18	8	275	73	—	—	—	—	—	—
2023	31	MLB MLE	Los Angeles Dodgers	—	508	467	112	24	0	11	33	97	3	4	1	240	295	362	657	122	273	19	6	293	84	—	—	—	—	—	—
2024	32	MLB MLE	Los Angeles Dodgers	—	393	363	85	17	0	12	27	77	0	0	0	234	288	380	668	146	257	20	7	294	85	—	—	—	—	—	—
2025	33	MLB MLE	2 teams	—	272	251	52	10	0	10	19	72	0	1	0	207	267	367	633	159	242	26	7	279	75	—	—	—	—	—	—
2026	34	MLB MLE	2 teams	—	168	157	33	7	1	4	9	45	0	0	0	210	251	344	595	134	266	27	5	274	71	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	32	MLB MLE	Los Angeles Dodgers	—	393	363	85	17	0	12	27	77	0	0	0	234	288	380	668	146	257	20	7	294	85	—	—	—	—	—	—
2025	33	MLB MLE	2 teams	—	272	251	52	10	0	10	19	72	0	1	0	207	267	367	633	159	242	26	7	279	75	—	—	—	—	—	—
2026	34	MLB MLE	2 teams	—	168	157	33	7	1	4	9	45	0	0	0	210	251	344	595	134	266	27	5	274	71	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	35	MLB MLE	LAD	100%	239	220	49	10	1	7	16	57	1	2	1	223	278	373	651	151	265	24	7	289	82	-5	+0	+0	+1	+5	-0.2
▸ 2027 — real world (MLB)
2027	35	MLB CTX	LAD	100%	148	137	30	6	0	5	10	35	0	1	0	220	275	371	646	151	259	24	7	286	82	-3	+0	+0	+1	+3	0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	36	MLB MLE	LAD	100%	107	99	21	4	0	3	7	26	0	0	0	211	264	347	611	136	254	24	7	272	70	-4	+0	-6	+0	+2	-0.7
2028	36	MLB CTX	LAD	100%	107	99	20	4	0	3	7	26	0	0	0	208	262	345	606	137	249	24	7	270	70	-4	+0	-6	+0	+2	-0.7
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4355	3908	917	208	15	137	371	894	27	17	6	235	305	401	706	166	267	21	9	312	84	-13	+1	-5	+17	+94	9.7
/ 162G	—	A+C		—	650	583	136	31	2	20	55	133	4	3	1	233	303	396	699	163	266	20	8	312	84	-2	+0	-1	+3	+14	1.4
Career	—	MLE		—	7145	6507	1519	321	31	178	498	1360	49	52	27	233	293	374	667	141	267	19	7	292	84	-16	+1	-5	+17	+98	9.7
/ 162G	—	MLE		—	650	592	138	29	3	16	45	124	4	5	2	233	291	373	665	140	267	19	7	292	84	-2	+0	-1	+3	+14	1.4

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 AAAOklahoma City Comets · 72 PAwOBA .305 → .239 (−66)K% 19.4% → 23.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.44%	÷1.000	×1.200	—	—	23.33%
BB% (unintentional) /PA	6.94%	÷1.000	×0.690	—	×0.940	4.50%
HBP% /PA	0.00%	—	×0.940	—	×0.940	0.00%
Singles /BIP	21.15%	÷1.000	×0.930	×0.975	×0.940	18.02%
Doubles /BIP	7.69%	÷1.000	×0.830	×0.975	×0.940	5.85%
Triples /BIP	1.92%	÷1.000	×0.970	×0.975	×0.940	1.71%
Home runs /BIP	1.92%	÷1.000	×0.700	—	×0.940	1.27%

Factors used: league row International League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 35 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (7.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.975.

Result: wOBA .305 → .239; ISO .136 → .103; BABIP .308 → .254. 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 AAAOklahoma City Comets · 16 PAwOBA .407 → .335 (−72)K% 18.8% → 22.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.75%	÷1.015	×1.200	—	—	22.16%
BB% (unintentional) /PA	12.50%	÷1.083	×0.690	—	×0.940	7.48%
HBP% /PA	0.00%	—	×0.940	—	×0.940	0.00%
Singles /BIP	27.27%	÷0.951	×0.930	—	×0.940	25.06%
Doubles /BIP	18.18%	÷0.969	×0.830	—	×0.940	14.64%
Triples /BIP	0.00%	÷1.150	×0.970	—	×0.940	0.00%
Home runs /BIP	0.00%	÷0.956	×0.700	—	×0.940	0.00%

Factors used: league row International League. Park (home-season share, regressed): HR 91, 1B 90, 2B 94, 3B 130, K 103, BB 117 — applied at half strength. Age: age 34 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (6.8 yr older than average).

Result: wOBA .407 → .335; ISO .143 → .118; BABIP .455 → .397. 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 AAAOklahoma City Dodgers · 64 PAwOBA .213 → .173 (−40)K% 21.9% → 28.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.88%	÷0.984	×1.290	—	—	28.67%
BB% (unintentional) /PA	6.25%	÷1.095	×0.710	—	×1.048	4.25%
HBP% /PA	0.00%	—	×0.980	—	×1.048	0.00%
Singles /BIP	15.56%	÷1.028	×0.900	×0.962	×1.048	13.74%
Doubles /BIP	4.44%	÷0.965	×0.810	×0.962	×1.048	3.76%
Triples /BIP	0.00%	÷0.941	×0.810	×0.962	×1.048	0.00%
Home runs /BIP	2.22%	÷0.866	×0.780	—	×1.048	2.10%

Factors used: league row PCL. Park (home-season share, regressed): HR 73, 1B 106, 2B 93, 3B 88, K 97, BB 119 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.962.

Result: wOBA .213 → .173; ISO .085 → .073; BABIP .200 → .175. 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 AAANew Orleans Zephyrs · 373 PAwOBA .368 → .332 (−36)K% 10.2% → 13.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.19%	÷1.008	×1.290	—	—	13.04%
BB% (unintentional) /PA	7.24%	÷1.007	×0.710	—	×1.050	5.36%
HBP% /PA	0.80%	—	×0.980	—	×1.050	0.83%
Singles /BIP	24.50%	÷0.980	×0.900	×1.000	×1.050	23.63%
Doubles /BIP	7.38%	÷0.923	×0.810	×1.000	×1.050	6.80%
Triples /BIP	0.67%	÷0.900	×0.810	×1.000	×1.050	0.63%
Home runs /BIP	3.36%	÷1.098	×0.780	—	×1.050	2.50%

Factors used: league row PCL. Park (home-season share, regressed): HR 120, 1B 96, 2B 85, 3B 80, K 102, BB 101 — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.000.

Result: wOBA .368 → .332; ISO .167 → .140; BABIP .332 → .314. 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 AACorpus Christi Hooks · 43 PAwOBA .366 → .330 (−35)K% 7.0% → 8.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	6.98%	÷0.988	×1.220	—	—	8.62%
BB% (unintentional) /PA	6.98%	÷0.991	×0.700	—	×1.027	5.06%
HBP% /PA	0.00%	—	×0.870	—	×1.027	0.00%
Singles /BIP	24.32%	÷1.022	×0.920	—	×1.027	22.48%
Doubles /BIP	8.11%	÷0.890	×0.840	—	×1.027	7.86%
Triples /BIP	0.00%	÷0.900	×0.940	—	×1.027	0.00%
Home runs /BIP	2.70%	÷0.956	×0.800	—	×1.027	2.32%

Factors used: league row TL. Park (home-season share, regressed): HR 91, 1B 104, 2B 78, 3B 80, K 98, BB 98 — 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).

Result: wOBA .366 → .330; ISO .150 → .138; BABIP .333 → .311. 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).

2013 AACorpus Christi Hooks · 483 PAwOBA .290 → .242 (−48)K% 14.5% → 17.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.49%	÷1.004	×1.220	—	—	17.61%
BB% (unintentional) /PA	6.63%	÷1.117	×0.700	—	×1.042	4.33%
HBP% /PA	1.04%	—	×0.870	—	×1.042	0.94%
Singles /BIP	19.07%	÷1.040	×0.920	×0.980	×1.042	17.23%
Doubles /BIP	4.90%	÷1.067	×0.840	×0.980	×1.042	3.94%
Triples /BIP	0.54%	÷0.900	×0.940	×0.980	×1.042	0.58%
Home runs /BIP	3.54%	÷1.106	×0.800	—	×1.042	2.67%

Factors used: league row TL. Park (home-season share, regressed): HR 121, 1B 108, 2B 113, 3B 80, K 101, BB 123 — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.980.

Result: wOBA .290 → .242; ISO .140 → .112; BABIP .253 → .222. 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).

2012 A+Lancaster JetHawks · 411 PAwOBA .315 → .260 (−55)K% 10.5% → 14.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.46%	÷0.975	×1.340	—	—	14.38%
BB% (unintentional) /PA	5.35%	÷1.095	×0.710	—	×1.027	3.56%
HBP% /PA	0.73%	—	×0.790	—	×1.027	0.59%
Singles /BIP	20.00%	÷1.022	×0.910	×1.009	×1.027	18.45%
Doubles /BIP	7.46%	÷1.138	×0.820	×1.009	×1.027	5.57%
Triples /BIP	2.09%	÷1.150	×0.760	×1.009	×1.027	1.43%
Home runs /BIP	1.49%	÷1.030	×0.920	—	×1.027	1.37%

Factors used: league row CAL. Park (home-season share, regressed): HR 106, 1B 104, 2B 128, 3B 130, K 95, BB 119 — 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 ×1.009.

Result: wOBA .315 → .260; ISO .143 → .111; BABIP .297 → .256. 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).

2012 AACorpus Christi Hooks · 88 PAwOBA .269 → .243 (−26)K% 10.2% → 12.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.23%	÷0.982	×1.220	—	—	12.71%
BB% (unintentional) /PA	4.55%	÷1.035	×0.700	—	×1.050	3.23%
HBP% /PA	2.27%	—	×0.870	—	×1.050	2.08%
Singles /BIP	23.61%	÷0.998	×0.920	×0.998	×1.050	22.79%
Doubles /BIP	2.78%	÷1.044	×0.840	×0.998	×1.050	2.34%
Triples /BIP	0.00%	÷0.940	×0.940	×0.998	×1.050	0.00%
Home runs /BIP	1.39%	÷1.110	×0.800	—	×1.050	1.05%

Factors used: league row TL. Park (home-season share, regressed): HR 122, 1B 100, 2B 109, 3B 88, K 96, BB 107 — applied at half strength. Age: age 21 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.998.

Result: wOBA .269 → .243; ISO .062 → .049; BABIP .268 → .254. 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 — .

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Damion Easley'92-'08 * career totals — 17 seasons, 6,211 PA	9.4	6,211	163	114	242*	316*	394*	+22	+20	19.4	19.8
/162	664	17	12	+2.3	+2.2	2.1	pk7: 20
#2Jose Hernandez'91-'06 * career totals — 14 seasons, 5,089 PA	7.7	5,089	168	41	242*	299*	406*	+28	+19	13.0	14.3
/162	664	22	5	+3.7	+2.5	1.7	pk7: 16
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 15 projected seasons	6.8	4,503	141	18	235	301	401	+13	+6	11.6	11.5
/162	664	21	3	+1.9	+0.9	1.7	pk7: 12
#3Luis 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
#4Sean Rodríguezlast yr '19 career totals — 11 seasons, 2,871 PA	4.3	2,871	79	42	226	302	380	+10	+16	8.1	8.5
/162	664	18	10	+2.3	+3.7	1.9	pk7: 9
#5Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
#6Geoff Blum'99-'12 * career totals — 13 seasons, 4,392 PA	6.6	4,392	99	19	241*	299*	373*	+11	+7	5.0	6.2
/162	664	15	3	+1.7	+1.1	0.8	pk7: 7

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
Enrique Hernández (OGILVIE)	35	45	45	45	50	221/276/370	149	265	5	1	24%	7%	82	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Matt McBride 2019 · MLB	34	38→48	51→55	42→40	45	204/261/364	161	235	18	4	23%	6%	74	-0.5	214/266/385	171	257	22	7	26%	6%	81	-0.1	174/211/355	181	185	29	0	27%	3%	51	-0.6
✕Scott McClain 2007 · MLB	35	37→42	53→55	43→40	43	204/253/369	165	232	22	6	24%	6%	72	-0.7	215/275/386	171	248	23	5	23%	7%	84	+0.2	213/276/389	176	239	25	3	23%	8%	84	+0.2
✕Abraham Valencia 2014 · AAA	34	44→50	47→45	43→45	41	227/283/359	132	269	16	4	23%	5%	82	-0.0	232/294/334	102	282	10	7	21%	5%	79	-0.2	237/301/296	59	285	5	3	18%	5%	70	-0.4
✕Jason Wood 2006 · AAA	36	46	49→45	46→40	46	237/294/378	140	274	18	7	21%	6%	89	+0.5	228/276/336	108	284	12	4	23%	6%	72	-0.7	220/267/305	85	278	8	2	23%	5%	61	-0.9
✕Brian Burgamy 2016 · AAA	35	44→47	49→50	41→50	48	226/293/372	145	276	17	5	24%	8%	88	+0.4	226/294/342	116	303	11	9	27%	8%	81	-0.1	225/298/331	106	305	9	10	27%	9%	80	-0.1
✕Shawn Wooten 2006 · MLB	34	44→42	47→45	40→30	45	221/271/346	125	245	16	3	18%	5%	74	-0.6	205/251/295	90	250	9	3	21%	5%	54	-2.0	186/232/248	62	234	6	1	22%	5%	34	-1.4
✕Andy Tracy 2009 · AAA	35	43→45	51→55	44→45	48	223/289/384	161	263	20	5	24%	8%	89	+0.5	220/289/394	174	266	22	6	26%	8%	92	+0.7	209/284/386	177	250	23	5	27%	9%	87	+0.3
✕Emmanuel Valdez 2014 · AAA	35	41→51	50	47→40	43	212/283/363	151	291	19	4	33%	8%	82	+0.0	208/287/344	136	290	16	6	32%	9%	80	-0.2	193/279/309	116	266	14	4	31%	9%	68	-0.4
✕Chad Mottola 2007 · MLB	35	40→41	49→50	47→45	39	211/248/355	144	254	17	7	25%	4%	67	-1.1	220/262/368	148	262	17	9	23%	5%	75	-0.5	213/253/365	152	243	18	7	21%	4%	69	-0.7
✕Damon Hollins 2008 · MLB	34	46→49	54→55	45	47	239/288/416	177	259	22	9	18%	6%	96	+1.0	204/269/351	147	245	18	6	24%	8%	74	-0.5	170/239/301	131	200	17	2	25%	8%	48	-1.7
✕Andy Abad 2008 · AAA	35	48	48→50	44→45	46	242/284/379	137	258	17	7	15%	5%	86	+0.3	224/275/334	110	264	11	9	19%	6%	72	-0.7	169/227/206	37	212	0	0	19%	5%	23	-0.9
✕Edgard Clemente 2010 · AAA	34	46	50	39→40	49	236/302/386	150	279	18	6	22%	8%	95	+0.9	246/305/399	153	301	17	8	23%	7%	99	+1.2	225/287/381	156	284	20	9	28%	6%	84	+0.0
✕Jantzen Witte 2024 · AAA	34	42→52	47→45	44→45	42	217/269/353	136	280	15	8	28%	6%	74	-0.5	214/273/354	140	279	16	8	28%	7%	76	-0.4	187/251/323	136	227	18	0	26%	8%	59	-0.5
●John Lindsey 2012 · AAA	35	44→51	50→60	44→30	39	227/287/382	155	287	17	3	27%	5%	88	+0.5	231/300/429	198	285	26	2	28%	6%	105	+1.7	221/296/425	204	267	29	0	29%	6%	100	+1.0
✕Pedro Swann 2006 · MLB	35	44	49→50	53→45	40	228/279/381	153	275	17	7	24%	4%	84	+0.2	233/280/364	131	292	12	11	24%	5%	80	-0.1	234/279/355	121	296	10	12	24%	5%	78	-0.1
✕Omar Ramirez 2006 · AAA	35	47	49→50	51→50	50	239/296/387	148	259	17	11	16%	7%	92	+0.7	244/302/370	126	272	13	11	15%	7%	91	+0.6	255/315/359	104	282	9	10	13%	7%	90	+0.2
✕Bobby Wilson 2018 · MLB	35	39→49	46→50	44→40	42	205/255/327	122	252	16	3	26%	6%	63	-1.4	194/249/313	119	246	14	4	26%	7%	57	-1.8	158/214/253	96	199	11	0	27%	7%	30	-1.1
✕Nick Green 2013 · MLB	34	42→46	46→50	42→45	41	215/261/349	134	257	14	5	23%	4%	70	-0.8	201/249/317	116	260	13	6	27%	5%	59	-1.7	161/207/246	84	213	10	1	29%	4%	24	-2.9
✕Adam Hyzdu 2006 · MLB	34	43→41	48→50	39→45	51	220/300/360	140	282	16	6	27%	10%	88	+0.4	215/288/358	143	271	16	8	26%	9%	82	+0.0	198/274/338	141	242	16	7	25%	9%	73	-0.6
✕Vinny Rottino 2016 · AAA	36	44→54	42→45	49→55	45	218/276/317	99	276	10	5	24%	7%	68	-1.0	209/276/303	94	272	9	6	25%	7%	65	-1.2	173/252/229	57	227	6	0	25%	8%	38	-1.4

Enrique Hernández

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps