Omar Renteria

PosC

B/TR/R

Born1990-01-17

Age (2027)37

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2023

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	SB	wRC+	WAR
2021	31	INTLMayos de Navo…	95	.205/.283/.241	2	49	—
2022	32	INTLCharros de Ja…	22	.150/.227/.250	0	36	—
2023	33	INTLCharros de Ja…	37	.273/.333/.333	0	87	—

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)
2011	21	AAA	Tigres de Quintana Roo	—	68	63	10	0	0	0	1	22	0	0	0	159	172	159	331		244	32	1	143	-16	—	—	—	—	—	—
2012	22	AAA	Vaqueros de la Laguna	—	29	27	1	0	0	0	2	11	0	0	0	37	103	37	140		62	38	7	79	-74	—	—	—	—	—	—
2013	23	AAA	Vaqueros de la Laguna	—	154	140	39	6	2	1	5	43	3	2	0	279	318	371	689	93	396	28	3	298	65	—	—	—	—	—	—
2014	24	AAA	Piratas de Campeche	—	66	55	15	2	0	0	6	14	0	0	0	273	344	309	653	36	357	21	9	281	76	—	—	—	—	—	—
2015	25	AAA	Rojos del Aguila de Veracruz	—	70	64	12	2	0	1	4	21	0	2	0	188	235	266	501	78	256	30	6	223	12	—	—	—	—	—	—
2016	26	AAA	Toros de Tijuana	—	33	29	6	0	0	0	1	12	1	1	0	207	258	207	465		333	36	3	208	25	—	—	—	—	—	—
2016	26	INTL	Mayos de Navojoa	—	18	15	3	0	0	0	2	1	0	0	0	200	294	200	494		214	6	11	228	41	—	—	—	—	—	—
2017	27	AAA	Bravos de Leon	—	147	126	33	3	0	2	11	33	2	2	3	262	331	333	664	71	337	22	7	289	58	—	—	—	—	—	—
2017	27	INTL	Mayos de Navojoa	—	32	30	4	0	1	1	2	10	0	0	0	133	188	300	487	167	158	31	6	216	32	—	—	—	—	—	—
2018	28	INTL	Mayos de Navojoa	—	28	23	4	1	0	0	2	9	1	0	3	174	269	217	487	43	286	32	7	219	34	—	—	—	—	—	—
2019	29	AAA	Bravos de Leon	—	204	176	46	2	2	1	18	43	2	3	4	261	337	312	649	51	331	21	9	289	46	—	—	—	—	—	—
2019	29	INTL	Mayos de Navojoa	—	78	70	15	4	1	2	5	23	1	0	1	214	276	386	662	171	289	29	6	287	80	—	—	—	—	—	—
2020	30	INTL	Mayos de Navojoa	—	204	169	52	7	0	3	24	36	4	2	2	308	406	402	808	95	368	18	12	357	128	—	—	—	—	—	—
2021	31	INTL	Mayos de Navojoa	—	95	83	17	3	0	0	9	23	0	2	3	205	283	241	524	36	279	24	9	240	49	—	—	—	—	—	—
2022	32	INTL	Charros de Jalisco	—	22	20	3	2	0	0	2	5	0	0	0	150	227	250	477	100	200	23	9	221	36	—	—	—	—	—	—
2023	33	INTL	Charros de Jalisco	—	37	33	9	2	0	0	3	10	0	0	1	273	333	333	667	61	391	27	8	297	87	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2011	21	AAA MLE	Tigres de Quintana Roo	—	68	63	11	0	0	0	1	26	0	0	0	175	188	175	362		262	38	1	145	-16	—	—	—	—	—	—
2012	22	AAA MLE	Vaqueros de la Laguna	—	29	27	1	0	0	0	2	14	0	0	0	37	103	37	140		56	48	7	59	-74	—	—	—	—	—	—
2013	23	AAA MLE	Vaqueros de la Laguna	—	154	141	38	5	2	1	4	54	3	2	0	270	304	355	659	85	390	35	3	264	65	—	—	—	—	—	—
2014	24	AAA MLE	Piratas de Campeche	—	66	57	17	2	0	0	4	17	0	0	0	298	344	333	678	35	362	26	6	281	76	—	—	—	—	—	—
2015	25	AAA MLE	Rojos del Aguila de Veracruz	—	70	65	12	2	0	1	3	25	0	2	0	185	221	262	482	77	239	36	4	186	12	—	—	—	—	—	—
2016	26	AAA MLE	Toros de Tijuana	—	33	29	6	0	0	0	1	14	1	1	0	207	258	207	465		327	42	3	205	25	—	—	—	—	—	—
2017	27	AAA MLE	Bravos de Leon	—	147	129	31	3	0	1	8	42	2	2	3	240	295	287	582	47	316	29	5	254	58	—	—	—	—	—	—
2019	29	AAA MLE	Bravos de Leon	—	204	182	41	2	2	1	12	50	2	3	4	225	281	275	555	49	275	25	6	236	46	—	—	—	—	—	—
2011	21	AAA MLE	Tigres de Quintana Roo	—	68	63	11	0	0	0	1	26	0	0	0	175	188	175	362		297	38	1	145	-16	—	—	—	—	—	—
2011	21	AAA RAW	Tigres de Quintana Roo	—	68	63	10	0	0	0	1	22	0	0	0	159	172	159	331		244	32	1	143	-16	—	—	—	—	—	—
2012	22	AAA MLE	Vaqueros de la Laguna	—	29	27	1	0	0	0	2	14	0	0	0	37	103	37	140		77	48	7	59	-74	—	—	—	—	—	—
2012	22	AAA RAW	Vaqueros de la Laguna	—	29	27	1	0	0	0	2	11	0	0	0	37	103	37	140		62	38	7	79	-74	—	—	—	—	—	—
2013	23	AAA MLE	Vaqueros de la Laguna	—	154	141	38	5	2	1	4	54	3	2	0	270	304	355	659	85	430	35	3	264	65	—	—	—	—	—	—
2013	23	AAA RAW	Vaqueros de la Laguna	—	154	140	39	6	2	1	5	43	3	2	0	279	318	371	689	93	396	28	3	298	65	—	—	—	—	—	—
2014	24	AAA MLE	Piratas de Campeche	—	66	57	17	2	0	0	4	17	0	0	0	298	344	333	678	35	415	26	6	281	76	—	—	—	—	—	—
2014	24	AAA RAW	Piratas de Campeche	—	66	55	15	2	0	0	6	14	0	0	0	273	344	309	653	36	357	21	9	281	76	—	—	—	—	—	—
2015	25	AAA MLE	Rojos del Aguila de Veracruz	—	70	65	12	2	0	1	3	25	0	2	0	185	221	262	482	77	275	36	4	186	12	—	—	—	—	—	—
2015	25	AAA RAW	Rojos del Aguila de Veracruz	—	70	64	12	2	0	1	4	21	0	2	0	188	235	266	501	78	256	30	6	223	12	—	—	—	—	—	—
2016	26	AAA MLE	2 teams	—	51	46	10	0	0	0	1	21	1	1	0	217	250	217	467		385	41	2	205	25	—	—	—	—	—	—
2016	26	AAA RAW	2 teams	—	51	44	9	0	0	0	3	13	1	1	0	205	271	205	475		281	25	6	215	25	—	—	—	—	—	—
2017	27	AAA MLE	2 teams	—	179	160	38	3	0	2	9	51	2	2	3	237	287	294	580	56	333	28	5	254	58	—	—	—	—	—	—
2017	27	AAA RAW	2 teams	—	179	156	37	3	1	3	13	43	2	2	3	237	304	327	631	90	306	24	7	276	58	—	—	—	—	—	—
2018	28	INTL MLE	Mayos de Navojoa	—	28	23	4	1	0	0	2	9	1	0	3	174	269	217	487	43	286	32	7	—	—	—	—	—	—	—	—
2018	28	INTL RAW	Mayos de Navojoa	—	28	23	4	1	0	0	2	9	1	0	3	174	269	217	487	43	286	32	7	219	34	—	—	—	—	—	—
2019	29	AAA MLE	2 teams	—	282	253	55	2	2	1	16	69	3	3	5	217	272	253	525	36	289	24	6	236	46	—	—	—	—	—	—
2019	29	AAA RAW	2 teams	—	282	246	61	6	3	3	23	66	3	3	5	248	320	333	653	85	320	23	8	289	46	—	—	—	—	—	—
2020	30	INTL MLE	Mayos de Navojoa	—	204	169	52	7	0	3	24	36	4	2	2	308	406	402	808	95	368	18	12	—	—	—	—	—	—	—	—
2020	30	INTL RAW	Mayos de Navojoa	—	204	169	52	7	0	3	24	36	4	2	2	308	406	402	808	95	368	18	12	357	128	—	—	—	—	—	—
2021	31	INTL MLE	Mayos de Navojoa	—	95	83	17	3	0	0	9	23	0	2	3	205	283	241	524	36	279	24	9	—	—	—	—	—	—	—	—
2021	31	INTL RAW	Mayos de Navojoa	—	95	83	17	3	0	0	9	23	0	2	3	205	283	241	524	36	279	24	9	240	49	—	—	—	—	—	—
2022	32	INTL MLE	Charros de Jalisco	—	22	20	3	2	0	0	2	5	0	0	0	150	227	250	477	100	200	23	9	—	—	—	—	—	—	—	—
2022	32	INTL RAW	Charros de Jalisco	—	22	20	3	2	0	0	2	5	0	0	0	150	227	250	477	100	200	23	9	221	36	—	—	—	—	—	—
2023	33	INTL MLE	Charros de Jalisco	—	37	33	9	2	0	0	3	10	0	0	1	273	333	333	667	61	391	27	8	—	—	—	—	—	—	—	—
2023	33	INTL RAW	Charros de Jalisco	—	37	33	9	2	0	0	3	10	0	0	1	273	333	333	667	61	391	27	8	297	87	—	—	—	—	—	—
2011	21	AAA MLE	Tigres de Quintana Roo	—	68	67	11	0	0	0	1	26	0	0	0	164	188	164	352		262	38	1	145	-16	—	—	—	—	—	—
2012	22	AAA MLE	Vaqueros de la Laguna	—	29	27	1	0	0	0	2	14	0	0	0	37	103	37	140		56	48	7	59	-74	—	—	—	—	—	—
2013	23	AAA MLE	Vaqueros de la Laguna	—	154	146	38	5	2	1	4	54	3	2	0	260	304	342	647	82	390	35	3	264	65	—	—	—	—	—	—
2014	24	AAA MLE	Piratas de Campeche	—	66	62	17	2	0	0	4	17	0	0	0	274	344	306	651	32	362	26	6	281	76	—	—	—	—	—	—
2015	25	AAA MLE	Rojos del Aguila de Veracruz	—	70	67	12	2	0	1	3	25	0	2	0	179	221	254	474	75	239	36	4	186	12	—	—	—	—	—	—
2016	26	AAA MLE	2 teams	—	51	49	10	0	0	0	1	21	1	1	0	204	250	204	454		327	41	2	205	25	—	—	—	—	—	—
2017	27	AAA MLE	2 teams	—	179	166	38	3	0	2	9	51	2	2	3	229	287	283	570	54	316	28	5	254	58	—	—	—	—	—	—
2019	29	AAA MLE	2 teams	—	282	261	55	2	2	1	16	69	3	3	5	211	272	245	517	34	275	24	6	236	46	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	1285	1140	267	29	4	8	80	360	14	14	17	234	293	288	580	54	330	28	6	161	-5	-161	-4	+0	+23	+28	-11.6
/ 162G	—	MLE		—	650	577	135	15	2	4	40	182	7	7	9	234	292	288	579	54	330	28	6	161	-5	-81	-2	+0	+12	+14	-5.9

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 AAABravos de Leon · 204 PAwOBA .288 → .236 (−52)K% 21.1% → 24.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.08%	÷1.032	×1.200	—	—	24.51%
BB% (unintentional) /PA	8.82%	÷1.034	×0.690	—	×0.982	5.78%
HBP% /PA	0.98%	—	×0.940	—	×0.982	0.90%
Singles /BIP	30.83%	÷1.037	×0.930	×0.950	×0.982	25.79%
Doubles /BIP	1.50%	÷0.973	×0.830	×0.950	×0.982	1.20%
Triples /BIP	1.50%	÷1.125	×0.920	×0.950	×0.982	1.15%
Home runs /BIP	0.75%	÷1.227	×0.700	—	×0.982	0.42%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 145, 1B 107, 2B 95, 3B 125, K 106, BB 107 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .288 → .236; ISO .051 → .038; BABIP .331 → .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).

2017 AAABravos de Leon · 147 PAwOBA .284 → .254 (−30)K% 22.4% → 28.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.45%	÷0.942	×1.200	—	—	28.60%
BB% (unintentional) /PA	7.48%	÷0.968	×0.690	—	×1.003	5.35%
HBP% /PA	1.36%	—	×0.940	—	×1.003	1.28%
Singles /BIP	30.11%	÷1.036	×0.930	×1.050	×1.003	28.46%
Doubles /BIP	3.23%	÷0.960	×0.830	×1.050	×1.003	2.94%
Triples /BIP	0.00%	÷1.150	×0.920	×1.050	×1.003	0.00%
Home runs /BIP	2.15%	÷0.981	×0.700	—	×1.003	1.54%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 96, 1B 107, 2B 92, 3B 130, K 88, BB 94 — 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 ×1.050.

Result: wOBA .284 → .254; ISO .071 → .057; BABIP .337 → .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).

2016 AAAToros de Tijuana · 33 PAwOBA .209 → .205 (−4)K% 36.4% → 41.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	36.36%	÷1.062	×1.200	—	—	41.10%
BB% (unintentional) /PA	3.03%	÷1.055	×0.690	—	×1.018	2.02%
HBP% /PA	3.03%	—	×0.940	—	×1.018	2.90%
Singles /BIP	35.29%	÷0.967	×0.930	—	×1.018	34.55%
Doubles /BIP	0.00%	÷0.926	×0.830	—	×1.018	0.00%
Triples /BIP	0.00%	÷0.941	×0.920	—	×1.018	0.00%
Home runs /BIP	0.00%	÷1.278	×0.700	—	×1.018	0.00%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 156, 1B 93, 2B 85, 3B 88, K 112, BB 111 — 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).

Result: wOBA .209 → .205; ISO .000 → .000; BABIP .333 → .327. 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 AAARojos del Aguila de Veracruz · 70 PAwOBA .220 → .186 (−34)K% 30.0% → 35.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.00%	÷1.009	×1.200	—	—	35.69%
BB% (unintentional) /PA	5.71%	÷1.121	×0.690	—	×1.033	3.63%
HBP% /PA	0.00%	—	×0.940	—	×1.033	0.00%
Singles /BIP	20.93%	÷0.998	×0.930	×1.006	×1.033	20.27%
Doubles /BIP	4.65%	÷1.074	×0.830	×1.006	×1.033	3.74%
Triples /BIP	0.00%	÷0.900	×0.920	×1.006	×1.033	0.00%
Home runs /BIP	2.33%	÷0.920	×0.700	—	×1.033	1.83%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 84, 1B 100, 2B 115, 3B 80, K 102, BB 124 — 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 ×1.006.

Result: wOBA .220 → .186; ISO .078 → .061; BABIP .256 → .239. 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 AAAPiratas de Campeche · 66 PAwOBA .278 → .281 (+3)K% 21.2% → 25.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.21%	÷1.008	×1.200	—	—	25.26%
BB% (unintentional) /PA	9.09%	÷1.055	×0.690	—	×1.048	6.23%
HBP% /PA	0.00%	—	×0.940	—	×1.048	0.00%
Singles /BIP	31.71%	÷0.995	×0.930	×1.049	×1.048	32.56%
Doubles /BIP	4.88%	÷1.010	×0.830	×1.049	×1.048	4.41%
Triples /BIP	0.00%	÷1.150	×0.920	×1.049	×1.048	0.00%
Home runs /BIP	0.00%	÷1.245	×0.700	—	×1.048	0.00%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 149, 1B 99, 2B 102, 3B 130, K 102, BB 111 — 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 ×1.049.

Result: wOBA .278 → .281; ISO .036 → .036; BABIP .357 → .362. 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 AAAVaqueros de la Laguna · 154 PAwOBA .290 → .264 (−26)K% 27.9% → 35.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.92%	÷0.949	×1.200	—	—	35.33%
BB% (unintentional) /PA	3.25%	÷0.989	×0.690	—	×1.050	2.38%
HBP% /PA	1.95%	—	×0.940	—	×1.050	1.92%
Singles /BIP	30.93%	÷0.999	×0.930	×1.050	×1.050	31.75%
Doubles /BIP	6.19%	÷1.098	×0.830	×1.050	×1.050	5.16%
Triples /BIP	2.06%	÷1.150	×0.920	×1.050	×1.050	1.82%
Home runs /BIP	1.03%	÷0.991	×0.700	—	×1.050	0.76%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 98, 1B 100, 2B 120, 3B 130, K 90, BB 98 — 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 ×1.050.

Result: wOBA .290 → .264; ISO .093 → .074; BABIP .396 → .390. 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 AAAVaqueros de la Laguna · 29 PAwOBA .078 → .059 (−19)K% 37.9% → 49.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	37.93%	÷0.925	×1.200	—	—	49.19%
BB% (unintentional) /PA	6.90%	÷0.942	×0.690	—	×1.050	5.30%
HBP% /PA	0.00%	—	×0.940	—	×1.050	0.00%
Singles /BIP	6.25%	÷1.081	×0.930	—	×1.050	5.65%
Doubles /BIP	0.00%	÷1.114	×0.830	—	×1.050	0.00%
Triples /BIP	0.00%	÷1.132	×0.920	—	×1.050	0.00%
Home runs /BIP	0.00%	÷1.018	×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 104, 1B 116, 2B 123, 3B 126, K 85, BB 88 — 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 .078 → .059; ISO .000 → .000; BABIP .062 → .056. 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).

2011 AAATigres de Quintana Roo · 68 PAwOBA .140 → .145 (+6)K% 32.4% → 38.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	32.35%	÷0.997	×1.200	—	—	38.93%
BB% (unintentional) /PA	1.47%	÷1.028	×0.690	—	×1.050	1.04%
HBP% /PA	0.00%	—	×0.940	—	×1.050	0.00%
Singles /BIP	24.39%	÷0.956	×0.930	×1.050	×1.050	26.15%
Doubles /BIP	0.00%	÷1.014	×0.830	×1.050	×1.050	0.00%
Triples /BIP	0.00%	÷0.918	×0.920	×1.050	×1.050	0.00%
Home runs /BIP	0.00%	÷1.092	×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 118, 1B 91, 2B 103, 3B 84, K 99, BB 106 — applied at half strength. Age: age 21 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (6.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .140 → .145; ISO .000 → .000; BABIP .244 → .262. 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 — .