Alejandro Ortiz

PosRF

B/TS/R

Born1990-02-06

Age (2027)37

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2022

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2020	30	INTLAlgodoneros d…	167	.265/.371/.301	0	2	91	—
2021	31	INTLAlgodoneros d…	30	.269/.345/.269	0	0	77	—
2022	32	INTLAlgodoneros d…	205	.243/.308/.337	2	1	79	—

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)
2012	22	AAA	Guerreros de Oaxaca	—	111	99	29	2	3	1	9	17	2	9	3	293	364	404	768	111	346	15	8	343	99	—	—	—	—	—	—
2013	23	AAA	Diablos Rojos del Mexico	—	22	18	2	0	1	0	4	7	0	0	0	111	273	222	495	111	182	32	18	241	6	—	—	—	—	—	—
2014	24	AAA	Diablos Rojos del Mexico	—	154	141	36	5	5	2	9	40	2	5	2	255	309	404	713	149	340	26	6	312	57	—	—	—	—	—	—
2015	25	AAA	Guerreros de Oaxaca	—	190	164	58	12	2	4	21	38	0	5	4	354	427	524	951	171	435	20	11	410	120	—	—	—	—	—	—
2015	25	INTL	Charros de Jalisco	—	120	107	27	10	3	1	9	20	0	2	1	252	310	430	740	178	302	17	8	315	99	—	—	—	—	—	—
2016	26	AAA	Diablos Rojos del Mexico	—	411	344	110	14	2	7	43	88	4	11	10	320	402	433	835	113	406	21	10	359	91	—	—	—	—	—	—
2016	26	INTL	Charros de Jalisco	—	92	87	18	1	0	2	2	25	0	5	2	207	225	287	512	80	262	27	2	222	36	—	—	—	—	—	—
2017	27	AAA	Diablos Rojos del Mexico	—	182	164	58	17	0	4	14	31	3	1	4	354	414	530	945	177	415	17	8	415	99	—	—	—	—	—	—
2017	27	INTL	Caneros de los Mochis	—	49	45	8	1	0	1	4	12	0	0	0	178	245	267	512	89	219	24	8	236	46	—	—	—	—	—	—
2019	29	AAA	Acereros del Norte	—	32	31	9	1	0	1	0	7	1	0	1	290	312	419	732	129	348	22	0	326	55	—	—	—	—	—	—
2019	29	INTL	Algodoneros de Guasave	—	172	146	50	8	2	1	22	28	1	3	4	342	432	445	877	103	419	16	13	389	150	—	—	—	—	—	—
2020	30	INTL	Algodoneros de Guasave	—	167	136	36	5	0	0	19	33	4	2	2	265	371	301	673	37	350	20	11	303	91	—	—	—	—	—	—
2021	31	INTL	Algodoneros de Guasave	—	30	26	7	0	0	0	2	7	1	0	1	269	345	269	614		368	23	7	282	77	—	—	—	—	—	—
2022	32	INTL	Algodoneros de Guasave	—	205	181	44	9	1	2	11	41	6	1	3	243	308	337	645	94	302	20	5	285	79	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2012	22	AAA MLE	Guerreros de Oaxaca	—	111	103	30	2	3	1	5	22	2	9	3	291	336	398	734	107	354	20	5	314	99	—	—	—	—	—	—
2013	23	AAA MLE	Diablos Rojos del Mexico	—	22	19	2	0	1	0	3	9	0	0	0	105	227	211	438	105	167	41	14	177	6	—	—	—	—	—	—
2014	24	AAA MLE	Diablos Rojos del Mexico	—	154	144	31	4	4	1	6	52	2	5	2	215	257	319	576	104	316	34	4	252	57	—	—	—	—	—	—
2015	25	AAA MLE	Guerreros de Oaxaca	—	190	172	53	10	2	2	13	47	0	5	4	308	357	424	781	116	396	25	7	345	120	—	—	—	—	—	—
2016	26	AAA MLE	Diablos Rojos del Mexico	—	411	357	102	11	2	4	30	118	4	11	10	286	348	361	709	76	375	29	7	303	91	—	—	—	—	—	—
2017	27	AAA MLE	Diablos Rojos del Mexico	—	182	170	47	12	0	3	8	38	3	1	4	276	320	400	720	124	339	21	4	315	99	—	—	—	—	—	—
2019	29	AAA MLE	Acereros del Norte	—	32	31	8	1	0	1	0	9	1	0	1	258	281	387	668	129	298	28	0	249	55	—	—	—	—	—	—
2012	22	AAA MLE	Guerreros de Oaxaca	—	111	103	30	2	3	1	5	22	2	9	3	291	336	398	734	107	362	20	5	314	99	—	—	—	—	—	—
2012	22	AAA RAW	Guerreros de Oaxaca	—	111	99	29	2	3	1	9	17	2	9	3	293	364	404	768	111	346	15	8	343	99	—	—	—	—	—	—
2013	23	AAA MLE	Diablos Rojos del Mexico	—	22	19	2	0	1	0	3	9	0	0	0	105	227	211	438	105	200	41	14	177	6	—	—	—	—	—	—
2013	23	AAA RAW	Diablos Rojos del Mexico	—	22	18	2	0	1	0	4	7	0	0	0	111	273	222	495	111	182	32	18	241	6	—	—	—	—	—	—
2014	24	AAA MLE	Diablos Rojos del Mexico	—	154	144	31	4	4	1	6	52	2	5	2	215	257	319	576	104	326	34	4	252	57	—	—	—	—	—	—
2014	24	AAA RAW	Diablos Rojos del Mexico	—	154	141	36	5	5	2	9	40	2	5	2	255	309	404	713	149	340	26	6	312	57	—	—	—	—	—	—
2015	25	AAA MLE	2 teams	—	310	281	87	16	3	4	20	77	0	7	5	310	355	431	786	121	411	25	6	345	120	—	—	—	—	—	—
2015	25	AAA RAW	2 teams	—	310	271	85	22	5	5	30	58	0	7	5	314	382	487	869	173	381	19	10	373	120	—	—	—	—	—	—
2016	26	AAA MLE	2 teams	—	503	439	124	13	2	5	37	144	4	16	12	282	344	355	699	73	402	29	7	303	91	—	—	—	—	—	—
2016	26	AAA RAW	2 teams	—	503	431	128	15	2	9	45	113	4	16	12	297	369	404	772	107	378	22	9	334	91	—	—	—	—	—	—
2017	27	AAA MLE	2 teams	—	231	217	59	15	0	3	10	49	3	1	4	272	313	382	696	111	337	21	4	315	99	—	—	—	—	—	—
2017	27	AAA RAW	2 teams	—	231	209	66	18	0	5	18	43	3	1	4	316	378	474	852	158	377	19	8	377	99	—	—	—	—	—	—
2019	29	INTL MLE	2 teams	—	204	199	46	5	0	4	0	54	2	3	5	231	239	317	555	85	298	26	0	249	55	—	—	—	—	—	—
2019	29	INTL RAW	2 teams	—	204	177	59	9	2	2	22	35	2	3	5	333	413	441	854	107	407	17	11	379	55	—	—	—	—	—	—
2020	30	INTL MLE	Algodoneros de Guasave	—	167	136	36	5	0	0	19	33	4	2	2	265	371	301	673	37	350	20	11	—	—	—	—	—	—	—	—
2020	30	INTL RAW	Algodoneros de Guasave	—	167	136	36	5	0	0	19	33	4	2	2	265	371	301	673	37	350	20	11	303	91	—	—	—	—	—	—
2021	31	INTL MLE	Algodoneros de Guasave	—	30	26	7	0	0	0	2	7	1	0	1	269	345	269	614		368	23	7	—	—	—	—	—	—	—	—
2021	31	INTL RAW	Algodoneros de Guasave	—	30	26	7	0	0	0	2	7	1	0	1	269	345	269	614		368	23	7	282	77	—	—	—	—	—	—
2022	32	INTL MLE	Algodoneros de Guasave	—	205	181	44	9	1	2	11	41	6	1	3	243	308	337	645	94	302	20	5	—	—	—	—	—	—	—	—
2022	32	INTL RAW	Algodoneros de Guasave	—	205	181	44	9	1	2	11	41	6	1	3	243	308	337	645	94	302	20	5	285	79	—	—	—	—	—	—
2012	22	AAA MLE	Guerreros de Oaxaca	—	111	103	30	2	3	1	5	22	2	9	3	291	336	398	734	107	354	20	5	314	99	—	—	—	—	—	—
2013	23	AAA MLE	Diablos Rojos del Mexico	—	22	19	2	0	1	0	3	9	0	0	0	105	227	211	438	105	167	41	14	177	6	—	—	—	—	—	—
2014	24	AAA MLE	Diablos Rojos del Mexico	—	154	145	31	4	4	1	6	52	2	5	2	214	257	317	574	103	316	34	4	252	57	—	—	—	—	—	—
2015	25	AAA MLE	2 teams	—	310	287	87	16	3	4	20	77	0	7	5	303	355	422	777	118	396	25	6	345	120	—	—	—	—	—	—
2016	26	AAA MLE	2 teams	—	503	457	124	13	2	5	37	144	4	16	12	271	344	341	685	70	375	29	7	303	91	—	—	—	—	—	—
2017	27	AAA MLE	2 teams	—	231	216	59	15	0	3	10	49	3	1	4	273	313	384	697	111	339	21	4	315	99	—	—	—	—	—	—
2019	29	INTL MLE	2 teams	—	204	200	46	5	0	4	0	54	2	3	5	230	239	315	554	85	298	26	0	249	55	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	1937	1745	466	69	14	20	113	488	24	44	37	267	320	357	677	90	357	25	6	238	47	-122	-6	+0	-21	+42	-10.9
/ 162G	—	MLE		—	650	586	157	23	5	7	38	164	8	15	12	268	322	360	682	92	358	25	6	238	47	-41	-2	+0	-7	+14	-3.6

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 AAAAcereros del Norte · 32 PAwOBA .317 → .249 (−68)K% 21.9% → 26.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.88%	÷0.988	×1.200	—	—	26.57%
BB% (unintentional) /PA	0.00%	÷0.960	×0.690	—	×0.982	0.00%
HBP% /PA	3.12%	—	×0.940	—	×0.982	2.88%
Singles /BIP	29.17%	÷1.036	×0.930	—	×0.982	25.72%
Doubles /BIP	4.17%	÷1.048	×0.830	—	×0.982	3.24%
Triples /BIP	0.00%	÷0.922	×0.920	—	×0.982	0.00%
Home runs /BIP	4.17%	÷1.015	×0.700	—	×0.982	2.82%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 103, 1B 107, 2B 110, 3B 84, K 98, BB 92 — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average).

Result: wOBA .317 → .249; ISO .129 → .085; BABIP .348 → .298. 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 AAADiablos Rojos del Mexico · 182 PAwOBA .403 → .315 (−88)K% 17.0% → 21.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.03%	÷0.967	×1.200	—	—	21.13%
BB% (unintentional) /PA	6.59%	÷1.003	×0.690	—	×1.003	4.55%
HBP% /PA	1.65%	—	×0.940	—	×1.003	1.55%
Singles /BIP	27.82%	÷1.036	×0.930	×0.976	×1.003	24.45%
Doubles /BIP	12.78%	÷1.143	×0.830	×0.976	×1.003	9.08%
Triples /BIP	0.00%	÷1.093	×0.920	×0.976	×1.003	0.00%
Home runs /BIP	3.01%	÷1.080	×0.700	—	×1.003	1.96%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 116, 1B 107, 2B 129, 3B 119, K 93, BB 101 — 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 ×0.976.

Result: wOBA .403 → .315; ISO .177 → .121; BABIP .415 → .339. 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 AAADiablos Rojos del Mexico · 411 PAwOBA .354 → .303 (−51)K% 21.4% → 28.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.41%	÷0.894	×1.200	—	—	28.74%
BB% (unintentional) /PA	10.46%	÷1.001	×0.690	—	×1.018	7.34%
HBP% /PA	0.97%	—	×0.940	—	×1.018	0.93%
Singles /BIP	33.98%	÷1.027	×0.930	×1.050	×1.018	32.89%
Doubles /BIP	5.47%	÷1.188	×0.830	×1.050	×1.018	4.09%
Triples /BIP	0.78%	÷1.150	×0.920	×1.050	×1.018	0.67%
Home runs /BIP	2.73%	÷1.183	×0.700	—	×1.018	1.65%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 137, 1B 105, 2B 138, 3B 130, K 79, BB 100 — 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 ×1.050.

Result: wOBA .354 → .303; ISO .113 → .078; BABIP .406 → .375. 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 AAAGuerreros de Oaxaca · 190 PAwOBA .398 → .345 (−54)K% 20.0% → 24.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.00%	÷0.966	×1.200	—	—	24.84%
BB% (unintentional) /PA	9.47%	÷1.029	×0.690	—	×1.033	6.56%
HBP% /PA	0.00%	—	×0.940	—	×1.033	0.00%
Singles /BIP	31.75%	÷1.059	×0.930	×1.050	×1.033	30.24%
Doubles /BIP	9.52%	÷1.117	×0.830	×1.050	×1.033	7.68%
Triples /BIP	1.59%	÷1.017	×0.920	×1.050	×1.033	1.56%
Home runs /BIP	3.17%	÷1.244	×0.700	—	×1.033	1.85%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 149, 1B 112, 2B 123, 3B 103, K 93, BB 106 — 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 ×1.050.

Result: wOBA .398 → .345; ISO .171 → .130; BABIP .435 → .396. 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 AAADiablos Rojos del Mexico · 154 PAwOBA .304 → .252 (−52)K% 26.0% → 33.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.97%	÷0.931	×1.200	—	—	33.48%
BB% (unintentional) /PA	5.19%	÷0.991	×0.690	—	×1.048	3.79%
HBP% /PA	1.30%	—	×0.940	—	×1.048	1.28%
Singles /BIP	23.76%	÷1.039	×0.930	×1.050	×1.048	23.40%
Doubles /BIP	4.95%	÷1.183	×0.830	×1.050	×1.048	3.82%
Triples /BIP	4.95%	÷1.150	×0.920	×1.050	×1.048	4.36%
Home runs /BIP	1.98%	÷1.180	×0.700	—	×1.048	1.23%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 136, 1B 108, 2B 137, 3B 130, K 86, BB 98 — 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 ×1.050.

Result: wOBA .304 → .252; ISO .149 → .109; BABIP .340 → .316. 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 AAADiablos Rojos del Mexico · 22 PAwOBA .237 → .177 (−59)K% 31.8% → 41.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.82%	÷0.920	×1.200	—	—	41.50%
BB% (unintentional) /PA	18.18%	÷1.068	×0.690	—	×1.050	12.34%
HBP% /PA	0.00%	—	×0.940	—	×1.050	0.00%
Singles /BIP	9.09%	÷0.978	×0.930	—	×1.050	9.08%
Doubles /BIP	0.00%	÷1.124	×0.830	—	×1.050	0.00%
Triples /BIP	9.09%	÷1.150	×0.920	—	×1.050	7.64%
Home runs /BIP	0.00%	÷1.277	×0.700	—	×1.050	0.00%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 155, 1B 96, 2B 125, 3B 130, K 84, BB 114 — 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).

Result: wOBA .237 → .177; ISO .111 → .086; BABIP .182 → .167. 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 AAAGuerreros de Oaxaca · 111 PAwOBA .331 → .314 (−17)K% 15.3% → 19.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.32%	÷0.931	×1.200	—	—	19.74%
BB% (unintentional) /PA	7.21%	÷1.056	×0.690	—	×1.050	4.95%
HBP% /PA	1.80%	—	×0.940	—	×1.050	1.78%
Singles /BIP	28.05%	÷0.985	×0.930	×1.050	×1.050	29.20%
Doubles /BIP	2.44%	÷1.118	×0.830	×1.050	×1.050	2.00%
Triples /BIP	3.66%	÷0.961	×0.920	×1.050	×1.050	3.86%
Home runs /BIP	1.22%	÷1.045	×0.700	—	×1.050	0.86%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 109, 1B 97, 2B 124, 3B 92, K 86, BB 111 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .331 → .314; ISO .111 → .101; BABIP .346 → .354. 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 — .