José Miguel Fernández

Pos1B

B/TL/R

Born1988-04-27

Age (2027)39

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2023

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2017	29	AALAD	369	.306/.369/.498	16	0	89	—	.260/.309/.389
2018	30	AAA/INTL2 orgs	477	.315/.380/.492	18	2	94	—	.267/.310/.426
2018	30	MLBLAA	123	.267/.309/.388	2	1	99	-1.0
2023	35	INTLYaquis de Obr…	53	.239/.340/.261	0	1	80	—
2024	36	No MLB games played
2025	37	No MLB games played
2026	38	No MLB games played

Last 3 seasons WAR -1.0

Contract

No contract data on file.

Scouting grades · 20-80

Power38Speed34Eye44

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)
2013	25	INTL	Cuba	—	15	9	1	0	0	0	5	1	0	0	0	111	429	111	540		125	7	33	293	84	—	—	—	—	—	—
2016	28	INTL	Aguilas Cibaenas	—	66	56	16	0	0	0	8	5	0	0	2	286	375	286	661		308	8	12	304	92	—	—	—	—	—	—
2017	29	AA	Tulsa Drillers	—	369	333	102	16	0	16	24	33	9	0	2	306	369	498	867	192	300	9	7	381	89	—	—	—	—	—	—
2018	30	MLB	Los Angeles Angels	—	123	116	31	8	0	2	6	15	1	1	0	267	309	388	697	121	293	12	5	312	99	-0	+0	-1	-11	+3	-1.0
2018	30	AAA	Salt Lake Bees	—	394	357	119	19	1	17	33	34	4	2	2	333	396	535	931	202	333	9	8	410	101	—	—	—	—	—	—
2018	30	INTL	Estrellas Orientales	—	83	72	16	1	0	1	8	10	0	0	0	222	300	278	578	56	234	12	10	260	62	—	—	—	—	—	—
2023	35	INTL	Yaquis de Obregon	—	53	46	11	1	0	0	7	9	0	1	0	239	340	261	600	22	297	17	13	287	80	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	123	116	31	8	0	2	6	15	1	1	0	267	309	388	697	121	293	12	5	312	97	-0	+0	-1	-11	+3	-1.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2017	29	AA MLE	Tulsa Drillers	—	369	342	89	14	0	10	15	42	9	0	2	260	309	389	698	129	266	11	4	300	89	—	—	—	—	—	—
2018	30	MLB MLE	Los Angeles Angels	—	123	116	31	8	0	2	6	15	1	1	0	267	309	388	697	121	293	12	5	315	99	-0	+0	-1	-11	+3	-1.0
2018	30	AAA MLE	Salt Lake Bees	—	394	371	99	15	1	14	19	44	4	2	2	267	310	426	736	159	270	11	5	317	101	—	—	—	—	—	—
2013	25	INTL MLE	Cuba	—	15	9	1	0	0	0	5	1	0	0	0	111	429	111	540		125	7	33	—	—	—	—	—	—	—	—
2013	25	INTL RAW	Cuba	—	15	9	1	0	0	0	5	1	0	0	0	111	429	111	540		125	7	33	293	84	—	—	—	—	—	—
2016	28	INTL MLE	Aguilas Cibaenas	—	66	56	16	0	0	0	8	5	0	0	2	286	375	286	661		308	8	12	—	—	—	—	—	—	—	—
2016	28	INTL RAW	Aguilas Cibaenas	—	66	56	16	0	0	0	8	5	0	0	2	286	375	286	661		308	8	12	304	92	—	—	—	—	—	—
2017	29	AA MLE	Tulsa Drillers	—	369	342	89	14	0	10	15	42	9	0	2	260	309	389	698	129	270	11	4	300	89	—	—	—	—	—	—
2017	29	AA RAW	Tulsa Drillers	—	369	333	102	16	0	16	24	33	9	0	2	306	369	498	867	192	300	9	7	381	89	—	—	—	—	—	—
2018	30	AAA MLE	3 teams	—	600	563	151	27	1	18	29	68	5	3	2	268	310	416	726	147	277	11	5	316	100	—	—	—	—	—	—
2018	30	AAA RAW	3 teams	—	600	545	166	28	1	20	47	59	5	3	2	305	365	470	835	165	311	10	8	369	100	—	—	—	—	—	—
2023	35	INTL MLE	Yaquis de Obregon	—	53	46	11	1	0	0	7	9	0	1	0	239	340	261	600	22	297	17	13	—	—	—	—	—	—	—	—
2023	35	INTL RAW	Yaquis de Obregon	—	53	46	11	1	0	0	7	9	0	1	0	239	340	261	600	22	297	17	13	287	80	—	—	—	—	—	—
2017	29	AA MLE	Tulsa Drillers	—	369	342	89	14	0	10	15	42	9	0	2	260	309	389	698	129	266	11	4	300	89	—	—	—	—	—	—
2018	30	AAA MLE	3 teams	—	600	561	151	27	1	18	29	68	5	3	2	269	310	417	727	148	275	11	5	316	100	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	123	116	31	8	0	2	6	15	1	1	0	267	309	388	697	121	293	12	5	312	71	-0	+0	-1	-11	+3	-1.0
/ 162G	—	A+C		—	650	613	164	42	0	11	32	79	5	5	0	268	309	390	699	122	293	12	5	312	71	-2	+1	-8	-57	+14	-5.2
Career	—	MLE		—	1103	1016	268	42	1	28	64	125	14	4	6	264	316	390	706	126	276	11	6	272	71	-0	+0	-1	-11	+3	-1.0
/ 162G	—	MLE		—	650	599	159	25	1	17	38	74	8	2	4	265	318	396	713	130	277	11	6	272	71	-2	+1	-8	-57	+14	-5.2

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.

2018 AAASalt Lake Bees · 394 PAwOBA .397 → .317 (−80)K% 8.6% → 11.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	8.63%	÷1.003	×1.290	—	—	11.10%
BB% (unintentional) /PA	7.61%	÷1.068	×0.710	—	×0.972	4.92%
HBP% /PA	1.02%	—	×0.980	—	×0.972	0.97%
Singles /BIP	25.39%	÷1.064	×0.900	×1.012	×0.972	21.12%
Doubles /BIP	5.88%	÷1.045	×0.810	×1.012	×0.972	4.48%
Triples /BIP	0.31%	÷0.969	×0.810	×1.012	×0.972	0.25%
Home runs /BIP	5.26%	÷0.958	×0.780	—	×0.972	4.17%

Factors used: league row PCL. Park (home-season share, regressed): HR 92, 1B 113, 2B 109, 3B 94, K 101, BB 114 — applied at half strength. Age: age 30 vs a level average of 27.2 → −2.8% on BB/HBP/hit rates (2.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.012.

Result: wOBA .397 → .317; ISO .202 → .160; BABIP .333 → .270. 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 AATulsa Drillers · 369 PAwOBA .373 → .300 (−74)K% 8.9% → 11.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	8.94%	÷0.955	×1.220	—	—	11.42%
BB% (unintentional) /PA	6.50%	÷1.058	×0.700	—	×0.958	4.12%
HBP% /PA	2.44%	—	×0.870	—	×0.958	2.03%
Singles /BIP	23.33%	÷1.005	×0.920	×1.050	×0.958	21.49%
Doubles /BIP	5.33%	÷1.000	×0.840	×1.050	×0.958	4.51%
Triples /BIP	0.00%	÷1.150	×0.940	×1.050	×0.958	0.00%
Home runs /BIP	5.33%	÷1.295	×0.800	—	×0.958	3.16%

Factors used: league row TL. Park (home-season share, regressed): HR 159, 1B 101, 2B 100, 3B 130, K 91, BB 112 — applied at half strength. Age: age 29 vs a level average of 24.8 → −4.2% on BB/HBP/hit rates (4.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .373 → .300; ISO .192 → .128; BABIP .300 → .266. 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 — .