Juan Perez

PosIF

B/TL/R

Born1991-11-01

Age (2027)35

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
2020	28	INTLMayos de Navo…	73	.297/.375/.422	1	3	126	—
2021	29	INTLMayos de Navo…	59	.161/.203/.286	1	1	34	—
2023	31	INTLMayos de Navo…	75	.150/.292/.317	2	3	70	—

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.

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)
2011	19	ROK	Billings Mustangs	—	249	215	68	11	7	4	25	38	3	15	4	316	392	488	880	172	368	15	10	382	80	—	—	—	—	—	—
2012	20	A	Dayton Dragons	—	555	482	122	27	8	9	51	88	11	24	14	253	338	398	737	145	290	16	9	325	69	—	—	—	—	—	—
2013	21	A+	Bakersfield Blaze	—	517	471	118	27	5	8	34	104	1	31	11	251	302	380	682	130	302	20	7	299	50	—	—	—	—	—	—
2014	22	A+	Bakersfield Blaze	—	483	445	119	28	2	13	28	83	1	15	7	267	312	427	739	160	297	17	6	321	51	—	—	—	—	—	—
2014	22	INTL	Surprise Saguaros	—	30	28	8	1	0	1	2	9	0	1	1	286	333	429	762	143	389	30	7	340	116	—	—	—	—	—	—
2015	23	AAA	Louisville Bats	—	97	91	19	3	0	2	6	23	0	7	0	209	258	308	565	99	258	24	6	256	34	—	—	—	—	—	—
2015	23	AA	Pensacola Blue Wahoos	—	331	296	70	15	6	1	26	54	4	14	5	236	307	338	645	101	283	16	8	289	51	—	—	—	—	—	—
2016	24	AAA	Louisville Bats	—	407	367	91	15	2	6	30	88	3	12	4	248	310	349	659	101	308	22	7	294	65	—	—	—	—	—	—
2017	25	AAA	Louisville Bats	—	93	80	24	5	1	4	12	18	1	6	3	300	398	537	935	237	345	19	13	410	109	—	—	—	—	—	—
2018	26	AAA	Charlotte Knights	—	178	163	30	6	2	4	12	56	2	9	2	184	249	319	568	135	252	31	7	255	9	—	—	—	—	—	—
2018	26	INTL	Aguilas de Mexicali	—	95	83	21	5	0	1	9	28	1	6	4	253	333	349	683	96	364	29	9	306	93	—	—	—	—	—	—
2019	27	AAA	Saraperos de Saltillo	—	519	469	151	32	2	23	41	97	3	30	7	322	380	546	926	224	363	19	8	401	93	—	—	—	—	—	—
2019	27	INTL	Mayos de Navojoa	—	68	59	14	0	1	4	8	13	1	1	4	237	338	475	813	237	238	19	12	359	129	—	—	—	—	—	—
2020	28	INTL	Mayos de Navojoa	—	73	64	19	3	1	1	7	16	1	3	0	297	375	422	797	125	375	22	10	354	126	—	—	—	—	—	—
2021	29	INTL	Mayos de Navojoa	—	59	56	9	2	1	1	2	16	1	1	0	161	203	286	489	125	205	27	3	219	34	—	—	—	—	—	—
2023	31	INTL	Mayos de Navojoa	—	75	60	9	2	1	2	11	15	1	3	2	150	292	317	608	167	163	20	15	272	70	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2011	19	ROK MLE	Billings Mustangs	—	249	227	55	8	5	3	15	55	3	15	4	242	298	361	659	119	303	22	6	287	80	—	—	—	—	—	—
2012	20	A MLE	Dayton Dragons	—	555	499	111	22	8	8	34	115	11	24	14	222	287	347	633	124	260	21	6	270	69	—	—	—	—	—	—
2013	21	A+ MLE	Bakersfield Blaze	—	517	483	102	21	4	6	22	143	1	31	11	211	247	308	556	97	275	28	4	242	50	—	—	—	—	—	—
2014	22	A+ MLE	Bakersfield Blaze	—	483	454	95	22	2	8	19	116	1	15	7	209	243	319	562	110	250	24	4	244	51	—	—	—	—	—	—
2015	23	AAA MLE	Louisville Bats	—	97	93	18	3	0	2	4	28	0	7	0	194	227	290	517	97	250	29	4	218	34	—	—	—	—	—	—
2015	23	AA MLE	Pensacola Blue Wahoos	—	331	306	65	14	6	1	16	67	4	14	5	212	261	307	568	95	258	20	5	244	51	—	—	—	—	—	—
2016	24	AAA MLE	Louisville Bats	—	407	377	89	12	2	6	20	107	3	12	4	236	280	326	606	90	302	26	5	264	65	—	—	—	—	—	—
2017	25	AAA MLE	Louisville Bats	—	93	84	21	4	1	3	8	22	1	6	3	250	323	429	751	179	304	24	9	330	109	—	—	—	—	—	—
2018	26	AAA MLE	Charlotte Knights	—	178	167	23	4	2	2	8	68	2	9	2	138	186	222	408	84	212	38	4	182	9	—	—	—	—	—	—
2019	27	AAA MLE	Saraperos de Saltillo	—	519	484	124	25	2	15	26	118	3	30	7	256	298	409	707	153	301	23	5	306	93	—	—	—	—	—	—
2011	19	ROK MLE	Billings Mustangs	—	249	227	55	8	5	3	15	55	3	15	4	242	298	361	659	119	306	22	6	287	80	—	—	—	—	—	—
2011	19	ROK RAW	Billings Mustangs	—	249	215	68	11	7	4	25	38	3	15	4	316	392	488	880	172	368	15	10	382	80	—	—	—	—	—	—
2012	20	A MLE	Dayton Dragons	—	555	499	111	22	8	8	34	115	11	24	14	222	287	347	633	124	271	21	6	270	69	—	—	—	—	—	—
2012	20	A RAW	Dayton Dragons	—	555	482	122	27	8	9	51	88	11	24	14	253	338	398	737	145	290	16	9	325	69	—	—	—	—	—	—
2013	21	A+ MLE	Bakersfield Blaze	—	517	483	102	21	4	6	22	143	1	31	11	211	247	308	556	97	283	28	4	242	50	—	—	—	—	—	—
2013	21	A+ RAW	Bakersfield Blaze	—	517	471	118	27	5	8	34	104	1	31	11	251	302	380	682	130	302	20	7	299	50	—	—	—	—	—	—
2014	22	A+ MLE	2 teams	—	513	482	101	23	2	9	21	123	1	16	8	210	244	322	566	112	257	24	4	244	51	—	—	—	—	—	—
2014	22	A+ RAW	2 teams	—	513	473	127	29	2	14	30	92	1	16	8	268	313	427	741	159	301	18	6	323	51	—	—	—	—	—	—
2015	23	AA MLE	2 teams	—	428	399	82	16	6	2	20	95	4	21	5	206	251	291	541	85	262	22	5	238	47	—	—	—	—	—	—
2015	23	AA RAW	2 teams	—	428	387	89	18	6	3	32	77	4	21	5	230	296	331	626	101	277	18	7	281	47	—	—	—	—	—	—
2016	24	AAA MLE	Louisville Bats	—	407	377	89	12	2	6	20	107	3	12	4	236	280	326	606	90	311	26	5	264	65	—	—	—	—	—	—
2016	24	AAA RAW	Louisville Bats	—	407	367	91	15	2	6	30	88	3	12	4	248	310	349	659	101	308	22	7	294	65	—	—	—	—	—	—
2017	25	AAA MLE	Louisville Bats	—	93	84	21	4	1	3	8	22	1	6	3	250	323	429	751	179	305	24	9	330	109	—	—	—	—	—	—
2017	25	AAA RAW	Louisville Bats	—	93	80	24	5	1	4	12	18	1	6	3	300	398	537	935	237	345	19	13	410	109	—	—	—	—	—	—
2018	26	AAA MLE	2 teams	—	273	255	35	6	2	4	12	105	3	15	6	137	185	224	409	86	211	38	4	182	9	—	—	—	—	—	—
2018	26	AAA RAW	2 teams	—	273	246	51	11	2	5	21	84	3	15	6	207	278	329	607	122	291	31	8	273	9	—	—	—	—	—	—
2019	27	AAA MLE	2 teams	—	587	547	140	29	2	17	30	134	4	31	11	256	299	410	709	154	307	23	5	306	93	—	—	—	—	—	—
2019	27	AAA RAW	2 teams	—	587	528	165	32	3	27	49	110	4	31	11	312	375	538	913	225	349	19	8	396	93	—	—	—	—	—	—
2020	28	INTL MLE	Mayos de Navojoa	—	73	64	19	3	1	1	7	16	1	3	0	297	375	422	797	125	375	22	10	—	—	—	—	—	—	—	—
2020	28	INTL RAW	Mayos de Navojoa	—	73	64	19	3	1	1	7	16	1	3	0	297	375	422	797	125	375	22	10	354	126	—	—	—	—	—	—
2021	29	INTL MLE	Mayos de Navojoa	—	59	56	9	2	1	1	2	16	1	1	0	161	203	286	489	125	205	27	3	—	—	—	—	—	—	—	—
2021	29	INTL RAW	Mayos de Navojoa	—	59	56	9	2	1	1	2	16	1	1	0	161	203	286	489	125	205	27	3	219	34	—	—	—	—	—	—
2023	31	INTL MLE	Mayos de Navojoa	—	75	60	9	2	1	2	11	15	1	3	2	150	292	317	608	167	163	20	15	—	—	—	—	—	—	—	—
2023	31	INTL RAW	Mayos de Navojoa	—	75	60	9	2	1	2	11	15	1	3	2	150	292	317	608	167	163	20	15	272	70	—	—	—	—	—	—
2011	19	ROK MLE	Billings Mustangs	—	249	229	55	8	5	3	15	55	3	15	4	240	298	358	656	118	303	22	6	287	80	—	—	—	—	—	—
2012	20	A MLE	Dayton Dragons	—	555	505	111	22	8	8	34	115	11	24	14	220	287	343	629	123	260	21	6	270	69	—	—	—	—	—	—
2013	21	A+ MLE	Bakersfield Blaze	—	517	489	102	21	4	6	22	143	1	31	11	209	247	305	552	96	275	28	4	242	50	—	—	—	—	—	—
2014	22	A+ MLE	2 teams	—	513	486	101	23	2	9	21	123	1	16	8	208	244	319	563	111	250	24	4	244	51	—	—	—	—	—	—
2015	23	AA MLE	2 teams	—	428	401	82	16	6	2	20	95	4	21	5	204	251	289	540	85	256	22	5	238	47	—	—	—	—	—	—
2016	24	AAA MLE	Louisville Bats	—	407	381	89	12	2	6	20	107	3	12	4	234	280	323	603	89	302	26	5	264	65	—	—	—	—	—	—
2017	25	AAA MLE	Louisville Bats	—	93	84	21	4	1	3	8	22	1	6	3	250	323	429	751	179	304	24	9	330	109	—	—	—	—	—	—
2018	26	AAA MLE	2 teams	—	273	256	35	6	2	4	12	105	3	15	6	137	185	223	408	86	212	38	4	182	9	—	—	—	—	—	—
2019	27	AAA MLE	2 teams	—	587	548	140	29	2	17	30	134	4	31	11	255	299	409	708	153	301	23	5	306	93	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	3829	3533	773	148	35	62	202	946	34	178	68	219	268	333	601	114	278	25	5	246	52	-217	+8	+0	+0	+83	-12.8
/ 162G	—	MLE		—	650	600	132	25	6	11	34	161	6	30	12	220	269	337	605	117	279	25	5	246	52	-37	+1	+0	+0	+14	-2.2

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.

2019 AAASaraperos de Saltillo · 519 PAwOBA .391 → .306 (−85)K% 18.7% → 22.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.69%	÷0.984	×1.200	—	—	22.79%
BB% (unintentional) /PA	7.32%	÷0.986	×0.690	—	×0.992	5.08%
HBP% /PA	0.58%	—	×0.940	—	×0.992	0.54%
Singles /BIP	25.27%	÷1.007	×0.930	×0.950	×0.992	21.98%
Doubles /BIP	8.60%	÷0.984	×0.830	×0.950	×0.992	6.84%
Triples /BIP	0.54%	÷1.150	×0.920	×0.950	×0.992	0.41%
Home runs /BIP	6.18%	÷1.040	×0.700	—	×0.992	4.13%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 108, 1B 101, 2B 97, 3B 130, K 97, BB 97 — applied at half strength. Age: age 28 vs a level average of 27.2 → −0.8% on BB/HBP/hit rates (0.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .391 → .306; ISO .224 → .159; BABIP .363 → .301. 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 AAACharlotte Knights · 178 PAwOBA .248 → .182 (−66)K% 31.5% → 38.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.46%	÷0.986	×1.200	—	—	38.27%
BB% (unintentional) /PA	6.74%	÷1.030	×0.690	—	×1.003	4.53%
HBP% /PA	1.12%	—	×0.940	—	×1.003	1.06%
Singles /BIP	16.82%	÷1.030	×0.930	×0.977	×1.003	14.88%
Doubles /BIP	5.61%	÷1.077	×0.830	×0.977	×1.003	4.23%
Triples /BIP	1.87%	÷1.150	×0.970	×0.977	×1.003	1.54%
Home runs /BIP	3.74%	÷1.319	×0.840	—	×1.003	2.39%

Factors used: league row IL. Park (home-season share, regressed): HR 164, 1B 106, 2B 115, 3B 130, K 97, BB 106 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.977.

Result: wOBA .248 → .182; ISO .135 → .089; BABIP .252 → .212. 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 AAALouisville Bats · 93 PAwOBA .399 → .330 (−69)K% 19.4% → 23.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.35%	÷0.985	×1.200	—	—	23.59%
BB% (unintentional) /PA	12.90%	÷1.015	×0.690	—	×1.018	8.93%
HBP% /PA	1.08%	—	×0.940	—	×1.018	1.03%
Singles /BIP	22.58%	÷1.038	×0.930	×1.011	×1.018	20.81%
Doubles /BIP	8.06%	÷1.051	×0.830	×1.011	×1.018	6.55%
Triples /BIP	1.61%	÷1.113	×0.970	×1.011	×1.018	1.45%
Home runs /BIP	6.45%	÷1.042	×0.840	—	×1.018	5.29%

Factors used: league row IL. Park (home-season share, regressed): HR 108, 1B 108, 2B 110, 3B 123, K 97, BB 103 — 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 ×1.011.

Result: wOBA .399 → .330; ISO .237 → .196; BABIP .345 → .304. 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 AAALouisville Bats · 407 PAwOBA .286 → .264 (−22)K% 21.6% → 26.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.62%	÷0.984	×1.200	—	—	26.36%
BB% (unintentional) /PA	6.88%	÷0.978	×0.690	—	×1.033	5.01%
HBP% /PA	0.74%	—	×0.940	—	×1.033	0.72%
Singles /BIP	24.37%	÷0.952	×0.930	×1.009	×1.033	24.82%
Doubles /BIP	5.38%	÷1.053	×0.830	×1.009	×1.033	4.42%
Triples /BIP	0.72%	÷1.150	×0.970	×1.009	×1.033	0.63%
Home runs /BIP	2.15%	÷0.882	×0.840	—	×1.033	2.12%

Factors used: league row IL. Park (home-season share, regressed): HR 76, 1B 90, 2B 111, 3B 130, K 97, BB 96 — 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 ×1.009.

Result: wOBA .286 → .264; ISO .101 → .091; BABIP .308 → .302. 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 AAPensacola Blue Wahoos · 331 PAwOBA .283 → .244 (−38)K% 16.3% → 20.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.31%	÷0.979	×1.220	—	—	20.34%
BB% (unintentional) /PA	7.55%	÷1.087	×0.680	—	×1.012	4.78%
HBP% /PA	1.21%	—	×0.840	—	×1.012	1.03%
Singles /BIP	19.83%	÷0.965	×0.920	×0.951	×1.012	18.20%
Doubles /BIP	6.20%	÷0.979	×0.910	×0.951	×1.012	5.54%
Triples /BIP	2.48%	÷0.903	×0.880	×0.951	×1.012	2.32%
Home runs /BIP	0.41%	÷1.037	×0.800	—	×1.012	0.32%

Factors used: league row SL. Park (home-season share, regressed): HR 107, 1B 93, 2B 96, 3B 81, K 96, BB 117 — 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 ×0.951.

Result: wOBA .283 → .244; ISO .101 → .092; BABIP .283 → .258. 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 AAALouisville Bats · 97 PAwOBA .250 → .218 (−32)K% 23.7% → 28.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.71%	÷0.991	×1.200	—	—	28.71%
BB% (unintentional) /PA	6.19%	÷1.023	×0.690	—	×1.048	4.37%
HBP% /PA	0.00%	—	×0.940	—	×1.048	0.00%
Singles /BIP	20.59%	÷0.999	×0.930	×1.013	×1.048	20.34%
Doubles /BIP	4.41%	÷0.975	×0.830	×1.013	×1.048	3.98%
Triples /BIP	0.00%	÷0.922	×0.970	×1.013	×1.048	0.00%
Home runs /BIP	2.94%	÷1.009	×0.840	—	×1.048	2.57%

Factors used: league row IL. Park (home-season share, regressed): HR 102, 1B 100, 2B 95, 3B 84, K 98, BB 105 — 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 ×1.013.

Result: wOBA .250 → .218; ISO .099 → .083; BABIP .258 → .250. 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 A+Bakersfield Blaze · 483 PAwOBA .316 → .244 (−72)K% 17.2% → 24.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.18%	÷0.961	×1.340	—	—	23.97%
BB% (unintentional) /PA	5.38%	÷0.944	×0.710	—	×0.998	4.04%
HBP% /PA	0.21%	—	×0.790	—	×0.998	0.16%
Singles /BIP	20.99%	÷1.031	×0.910	×0.988	×0.998	18.28%
Doubles /BIP	7.73%	÷1.005	×0.820	×0.988	×0.998	6.23%
Triples /BIP	0.55%	÷0.900	×0.760	×0.988	×0.998	0.46%
Home runs /BIP	3.59%	÷1.421	×0.920	—	×0.998	2.32%

Factors used: league row CAL. Park (home-season share, regressed): HR 184, 1B 106, 2B 101, 3B 80, K 92, BB 89 — 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 ×0.988.

Result: wOBA .316 → .244; ISO .160 → .110; BABIP .297 → .250. 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 A+Bakersfield Blaze · 517 PAwOBA .294 → .242 (−51)K% 20.1% → 27.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.12%	÷0.977	×1.340	—	—	27.60%
BB% (unintentional) /PA	6.58%	÷1.101	×0.710	—	×1.012	4.29%
HBP% /PA	0.19%	—	×0.790	—	×1.012	0.15%
Singles /BIP	21.25%	÷0.991	×0.910	×1.026	×1.012	20.26%
Doubles /BIP	7.36%	÷1.034	×0.820	×1.026	×1.012	6.06%
Triples /BIP	1.36%	÷0.964	×0.760	×1.026	×1.012	1.11%
Home runs /BIP	2.18%	÷1.107	×0.920	—	×1.012	1.83%

Factors used: league row CAL. Park (home-season share, regressed): HR 121, 1B 98, 2B 107, 3B 93, K 95, BB 120 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.026.

Result: wOBA .294 → .242; ISO .130 → .103; BABIP .302 → .275. 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 — .