Arturo Rodriguez

PosC

B/TR/R

Born1991-10-03

Age (2027)35

No MLB projection yet. Career stats below are historical.

Overview

INTLPROSPECT

MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2021	29	INTLAlgodoneros d…	179	.267/.341/.435	7	2	121	—
2022	30	INTLAlgodoneros d…	66	.167/.242/.167	0	0	22	—
2025	33	INTLCharros de Ja…	39	.143/.231/.229	1	0	34	—

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)
2013	21	AAA	Sultanes de Monterrey	—	231	204	57	13	0	6	18	40	3	0	1	279	347	431	778	152	319	17	8	339	80	—	—	—	—	—	—
2014	22	AAA	Toros de Tijuana	—	363	333	125	28	3	15	23	53	3	0	0	375	421	613	1.033	237	414	15	6	446	139	—	—	—	—	—	—
2014	22	INTL	Mexico	—	182	166	42	8	0	5	11	33	3	1	0	253	311	392	703	139	285	18	6	312	97	—	—	—	—	—	—
2015	23	A	Greensboro Grasshoppers	—	522	476	131	18	0	19	33	65	6	0	0	275	330	433	763	158	281	12	6	336	53	—	—	—	—	—	—
2015	23	INTL	Tomateros de Culiacan	—	92	84	20	4	0	1	5	20	1	0	0	238	289	321	610	83	297	22	5	272	70	—	—	—	—	—	—
2016	24	AAA	Sultanes de Monterrey	—	63	58	18	1	0	5	3	20	0	0	0	310	344	586	930	276	371	32	5	391	88	—	—	—	—	—	—
2016	24	A+	Jupiter Hammerheads	—	102	92	23	1	0	0	9	13	0	0	0	250	317	261	578	11	287	13	9	269	40	—	—	—	—	—	—
2016	24	A	Greensboro Grasshoppers	—	39	35	8	2	0	2	2	5	1	0	1	229	289	457	747	229	214	13	5	320	40	—	—	—	—	—	—
2016	24	INTL	Naranjeros de Hermosillo	—	190	172	50	5	1	1	7	29	4	0	0	291	333	349	682	58	338	15	4	299	89	—	—	—	—	—	—
2017	25	AAA	Sultanes de Monterrey	—	168	150	36	5	1	3	13	26	0	0	0	240	301	347	647	107	268	15	8	284	54	—	—	—	—	—	—
2017	25	INTL	Yaquis de Obregon	—	61	56	16	3	0	1	3	12	0	0	0	286	322	393	715	107	341	20	5	310	96	—	—	—	—	—	—
2018	26	INTL	Caneros de los Mochis	—	113	105	18	4	0	1	4	18	2	1	0	171	216	238	454	67	198	16	4	206	25	—	—	—	—	—	—
2019	27	AAA	Tecos de los Dos Laredos	—	323	302	96	12	0	13	14	43	4	1	0	318	356	487	843	169	335	13	4	370	89	—	—	—	—	—	—
2019	27	INTL	Algodoneros de Guasave	—	160	145	33	5	0	3	7	30	5	1	1	228	287	324	611	97	263	19	4	274	72	—	—	—	—	—	—
2020	28	INTL	Algodoneros de Guasave	—	60	53	12	2	0	1	6	8	0	0	0	226	305	321	626	94	244	13	10	283	78	—	—	—	—	—	—
2021	29	INTL	Algodoneros de Guasave	—	179	161	43	6	0	7	14	25	4	2	0	267	341	435	776	168	279	14	8	347	121	—	—	—	—	—	—
2022	30	INTL	Algodoneros de Guasave	—	66	60	10	0	0	0	6	12	0	0	0	167	242	167	409		208	18	9	201	22	—	—	—	—	—	—
2025	33	INTL	Charros de Jalisco	—	39	35	5	0	0	1	4	6	0	0	0	143	231	229	459	86	143	15	10	218	34	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2013	21	AAA MLE	Sultanes de Monterrey	—	231	208	51	10	0	4	14	46	3	0	1	245	302	351	653	106	286	20	6	287	80	—	—	—	—	—	—
2014	22	AAA MLE	Toros de Tijuana	—	363	340	114	25	3	9	16	60	3	0	0	335	370	506	876	171	382	17	4	373	139	—	—	—	—	—	—
2015	23	A MLE	Greensboro Grasshoppers	—	522	489	104	13	0	11	20	90	6	0	0	213	252	307	559	94	231	17	4	246	53	—	—	—	—	—	—
2016	24	AAA MLE	Sultanes de Monterrey	—	63	59	15	1	0	3	2	25	0	0	0	254	279	424	702	169	327	40	3	299	88	—	—	—	—	—	—
2016	24	A+ MLE	Jupiter Hammerheads	—	102	94	20	1	0	0	7	19	0	0	0	213	267	223	491	11	261	19	7	227	40	—	—	—	—	—	—
2016	24	A MLE	Greensboro Grasshoppers	—	39	36	7	2	0	1	1	7	1	0	1	194	237	333	570	139	180	18	3	228	40	—	—	—	—	—	—
2017	25	AAA MLE	Sultanes de Monterrey	—	168	154	34	4	1	2	9	33	0	0	0	221	264	299	563	78	259	20	5	248	54	—	—	—	—	—	—
2019	27	AAA MLE	Tecos de los Dos Laredos	—	323	307	83	8	0	10	9	52	4	1	0	270	300	394	694	124	293	16	3	300	89	—	—	—	—	—	—
2013	21	AAA MLE	Sultanes de Monterrey	—	231	208	51	10	0	4	14	46	3	0	1	245	302	351	653	106	294	20	6	287	80	—	—	—	—	—	—
2013	21	AAA RAW	Sultanes de Monterrey	—	231	204	57	13	0	6	18	40	3	0	1	279	347	431	778	152	319	17	8	339	80	—	—	—	—	—	—
2014	22	AAA MLE	2 teams	—	545	509	172	38	5	13	24	90	6	1	0	338	375	509	884	171	389	17	4	373	139	—	—	—	—	—	—
2014	22	AAA RAW	2 teams	—	545	499	167	36	3	20	34	86	6	1	0	335	384	539	923	204	371	16	6	401	139	—	—	—	—	—	—
2015	23	A MLE	2 teams	—	614	574	123	16	0	13	24	106	7	0	0	214	255	310	565	96	238	17	4	246	53	—	—	—	—	—	—
2015	23	A RAW	2 teams	—	614	560	151	22	0	20	38	85	7	0	0	270	324	416	740	146	283	14	6	326	53	—	—	—	—	—	—
2016	24	INTL MLE	4 teams	—	394	358	80	7	0	9	20	98	5	0	1	223	274	318	593	95	276	25	5	249	55	—	—	—	—	—	—
2016	24	INTL RAW	4 teams	—	394	357	99	9	1	8	21	67	5	0	1	277	326	375	702	98	316	17	5	308	55	—	—	—	—	—	—
2017	25	AAA MLE	2 teams	—	229	210	47	6	1	3	12	45	0	0	0	224	266	305	571	81	267	20	5	248	54	—	—	—	—	—	—
2017	25	AAA RAW	2 teams	—	229	206	52	8	1	4	16	38	0	0	0	252	306	359	666	107	287	17	7	291	54	—	—	—	—	—	—
2018	26	INTL MLE	Caneros de los Mochis	—	113	105	18	4	0	1	4	18	2	1	0	171	216	238	454	67	198	16	4	—	—	—	—	—	—	—	—
2018	26	INTL RAW	Caneros de los Mochis	—	113	105	18	4	0	1	4	18	2	1	0	171	216	238	454	67	198	16	4	206	25	—	—	—	—	—	—
2019	27	AAA MLE	2 teams	—	483	454	125	13	0	15	14	78	9	2	1	275	310	403	713	128	301	16	3	300	89	—	—	—	—	—	—
2019	27	AAA RAW	2 teams	—	483	447	129	17	0	16	21	73	9	2	1	289	333	434	767	145	312	15	4	338	89	—	—	—	—	—	—
2020	28	INTL MLE	Algodoneros de Guasave	—	60	53	12	2	0	1	6	8	0	0	0	226	305	321	626	94	244	13	10	—	—	—	—	—	—	—	—
2020	28	INTL RAW	Algodoneros de Guasave	—	60	53	12	2	0	1	6	8	0	0	0	226	305	321	626	94	244	13	10	283	78	—	—	—	—	—	—
2021	29	INTL MLE	Algodoneros de Guasave	—	179	161	43	6	0	7	14	25	4	2	0	267	341	435	776	168	279	14	8	—	—	—	—	—	—	—	—
2021	29	INTL RAW	Algodoneros de Guasave	—	179	161	43	6	0	7	14	25	4	2	0	267	341	435	776	168	279	14	8	347	121	—	—	—	—	—	—
2022	30	INTL MLE	Algodoneros de Guasave	—	66	60	10	0	0	0	6	12	0	0	0	167	242	167	409		208	18	9	—	—	—	—	—	—	—	—
2022	30	INTL RAW	Algodoneros de Guasave	—	66	60	10	0	0	0	6	12	0	0	0	167	242	167	409		208	18	9	201	22	—	—	—	—	—	—
2025	33	INTL MLE	Charros de Jalisco	—	39	35	5	0	0	1	4	6	0	0	0	143	231	229	459	86	143	15	10	—	—	—	—	—	—	—	—
2025	33	INTL RAW	Charros de Jalisco	—	39	35	5	0	0	1	4	6	0	0	0	143	231	229	459	86	143	15	10	218	34	—	—	—	—	—	—
2013	21	AAA MLE	Sultanes de Monterrey	—	231	212	51	10	0	4	14	46	3	0	1	241	302	344	647	104	286	20	6	287	80	—	—	—	—	—	—
2014	22	AAA MLE	2 teams	—	545	510	172	38	5	13	24	90	6	1	0	337	375	508	883	171	382	17	4	373	139	—	—	—	—	—	—
2015	23	A MLE	2 teams	—	614	578	123	16	0	13	24	106	7	0	0	213	255	308	563	95	231	17	4	246	53	—	—	—	—	—	—
2016	24	INTL MLE	4 teams	—	394	366	80	7	0	9	20	98	5	0	1	219	274	311	586	93	266	25	5	249	55	—	—	—	—	—	—
2017	25	AAA MLE	2 teams	—	229	215	47	6	1	3	12	45	0	0	0	219	266	298	563	79	259	20	5	248	54	—	—	—	—	—	—
2019	27	AAA MLE	2 teams	—	483	457	125	13	0	15	14	78	9	2	1	274	310	400	711	127	293	16	3	300	89	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	2953	2727	686	102	6	67	142	532	36	6	3	252	297	367	664	116	287	18	5	244	51	-171	+0	+0	+53	+64	-5.6
/ 162G	—	MLE		—	650	600	150	22	1	15	31	117	8	1	1	250	296	365	661	115	285	18	5	244	51	-38	-0	+0	+12	+14	-1.2

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 AAATecos de los Dos Laredos · 323 PAwOBA .361 → .300 (−61)K% 13.3% → 16.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.31%	÷0.994	×1.200	—	—	16.08%
BB% (unintentional) /PA	4.33%	÷1.019	×0.690	—	×0.992	2.91%
HBP% /PA	1.24%	—	×0.940	—	×0.992	1.15%
Singles /BIP	27.41%	÷0.956	×0.930	×0.950	×0.992	25.14%
Doubles /BIP	4.63%	÷1.103	×0.830	×0.950	×0.992	3.29%
Triples /BIP	0.00%	÷1.150	×0.920	×0.950	×0.992	0.00%
Home runs /BIP	5.02%	÷0.919	×0.700	—	×0.992	3.79%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 84, 1B 91, 2B 120, 3B 130, K 99, BB 104 — 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 .361 → .300; ISO .169 → .125; BABIP .335 → .293. 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 AAASultanes de Monterrey · 168 PAwOBA .280 → .248 (−32)K% 15.5% → 19.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.48%	÷0.946	×1.200	—	—	19.63%
BB% (unintentional) /PA	7.74%	÷1.060	×0.690	—	×1.018	5.13%
HBP% /PA	0.00%	—	×0.940	—	×1.018	0.00%
Singles /BIP	21.77%	÷0.978	×0.930	×1.030	×1.018	21.72%
Doubles /BIP	4.03%	÷0.992	×0.830	×1.030	×1.018	3.54%
Triples /BIP	0.81%	÷1.150	×0.920	×1.030	×1.018	0.68%
Home runs /BIP	2.42%	÷1.043	×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 109, 1B 96, 2B 98, 3B 130, K 89, BB 112 — 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 ×1.030.

Result: wOBA .280 → .248; ISO .107 → .083; BABIP .268 → .259. 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 A+Jupiter Hammerheads · 102 PAwOBA .265 → .227 (−39)K% 12.7% → 18.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.75%	÷0.987	×1.420	—	—	18.34%
BB% (unintentional) /PA	8.82%	÷0.933	×0.750	—	×0.978	6.94%
HBP% /PA	0.00%	—	×0.930	—	×0.978	0.00%
Singles /BIP	27.85%	÷1.005	×0.920	×1.010	×0.978	25.20%
Doubles /BIP	1.27%	÷1.003	×0.960	×1.010	×0.978	1.20%
Triples /BIP	0.00%	÷0.900	×0.810	×1.010	×0.978	0.00%
Home runs /BIP	0.00%	÷0.918	×0.880	—	×0.978	0.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 84, 1B 101, 2B 101, 3B 80, K 97, BB 87 — applied at half strength. Age: age 25 vs a level average of 22.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.010.

Result: wOBA .265 → .227; ISO .011 → .010; BABIP .287 → .261. 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 AAASultanes de Monterrey · 63 PAwOBA .392 → .299 (−93)K% 31.7% → 39.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.75%	÷0.961	×1.200	—	—	39.64%
BB% (unintentional) /PA	4.76%	÷1.118	×0.690	—	×1.033	3.04%
HBP% /PA	0.00%	—	×0.940	—	×1.033	0.00%
Singles /BIP	31.58%	÷1.036	×0.930	—	×1.033	29.28%
Doubles /BIP	2.63%	÷0.979	×0.830	—	×1.033	2.30%
Triples /BIP	0.00%	÷0.900	×0.920	—	×1.033	0.00%
Home runs /BIP	13.16%	÷1.051	×0.700	—	×1.033	9.05%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 110, 1B 107, 2B 96, 3B 80, K 92, 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).

Result: wOBA .392 → .299; ISO .276 → .183; BABIP .371 → .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).

2016 AGreensboro Grasshoppers · 39 PAwOBA .311 → .228 (−83)K% 12.8% → 18.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.82%	÷0.943	×1.340	—	—	18.21%
BB% (unintentional) /PA	5.13%	÷0.982	×0.660	—	×0.970	3.34%
HBP% /PA	2.56%	—	×0.770	—	×0.970	1.92%
Singles /BIP	13.33%	÷1.002	×0.920	—	×0.970	11.88%
Doubles /BIP	6.67%	÷0.976	×0.820	—	×0.970	5.43%
Triples /BIP	0.00%	÷1.042	×0.940	—	×0.970	0.00%
Home runs /BIP	6.67%	÷1.378	×0.820	—	×0.970	3.85%

Factors used: league row SAL. Park (home-season share, regressed): HR 176, 1B 100, 2B 95, 3B 108, K 89, BB 96 — applied at half strength. Age: age 25 vs a level average of 22.0 → −3.0% on BB/HBP/hit rates (3.0 yr older than average).

Result: wOBA .311 → .228; ISO .229 → .145; BABIP .214 → .180. 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 AGreensboro Grasshoppers · 522 PAwOBA .329 → .246 (−84)K% 12.5% → 17.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.45%	÷0.962	×1.340	—	—	17.34%
BB% (unintentional) /PA	5.94%	÷0.973	×0.660	—	×0.980	3.95%
HBP% /PA	1.15%	—	×0.770	—	×0.980	0.87%
Singles /BIP	22.87%	÷1.006	×0.920	×0.955	×0.980	19.58%
Doubles /BIP	4.38%	÷1.014	×0.820	×0.955	×0.980	3.32%
Triples /BIP	0.00%	÷0.900	×0.940	×0.955	×0.980	0.00%
Home runs /BIP	4.62%	÷1.391	×0.820	—	×0.980	2.67%

Factors used: league row SAL. Park (home-season share, regressed): HR 178, 1B 101, 2B 103, 3B 80, K 92, BB 95 — applied at half strength. Age: age 24 vs a level average of 22.0 → −2.0% on BB/HBP/hit rates (2.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.955.

Result: wOBA .329 → .246; ISO .158 → .097; BABIP .281 → .231. 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 AAAToros de Tijuana · 363 PAwOBA .434 → .373 (−61)K% 14.6% → 16.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.60%	÷1.058	×1.200	—	—	16.57%
BB% (unintentional) /PA	6.34%	÷1.035	×0.690	—	×1.050	4.44%
HBP% /PA	0.83%	—	×0.940	—	×1.050	0.82%
Singles /BIP	28.21%	÷0.982	×0.930	×0.970	×1.050	27.22%
Doubles /BIP	10.00%	÷0.956	×0.830	×0.970	×1.050	8.85%
Triples /BIP	1.07%	÷0.901	×0.920	×0.970	×1.050	1.11%
Home runs /BIP	5.36%	÷1.271	×0.700	—	×1.050	3.10%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 154, 1B 96, 2B 91, 3B 80, K 112, BB 107 — 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 ×0.970.

Result: wOBA .434 → .373; ISO .237 → .174; BABIP .414 → .382. 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 AAASultanes de Monterrey · 231 PAwOBA .333 → .287 (−46)K% 17.3% → 20.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.32%	÷1.039	×1.200	—	—	20.00%
BB% (unintentional) /PA	7.79%	÷0.952	×0.690	—	×1.050	5.93%
HBP% /PA	1.30%	—	×0.940	—	×1.050	1.28%
Singles /BIP	23.17%	÷0.991	×0.930	×0.974	×1.050	22.24%
Doubles /BIP	7.93%	÷1.140	×0.830	×0.974	×1.050	5.90%
Triples /BIP	0.00%	÷1.150	×0.920	×0.974	×1.050	0.00%
Home runs /BIP	3.66%	÷1.011	×0.700	—	×1.050	2.66%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 102, 1B 98, 2B 128, 3B 130, K 108, BB 90 — 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 ×0.974.

Result: wOBA .333 → .287; ISO .152 → .114; BABIP .319 → .286. 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 — .